id	sid	tid	token	lemma	pos
alkej-1008	1	1	1	1	NUM
alkej-1008	1	2	al	al	PROPN
alkej-1008	1	3	-	-	PUNCT
alkej-1008	1	4	khwarizmi	khwarizmi	PROPN
alkej-1008	1	5	engineering	engineering	PROPN
alkej-1008	1	6	journal	journal	PROPN
alkej-1008	1	7	al	al	PROPN
alkej-1008	1	8	-	-	PUNCT
alkej-1008	1	9	khwarizmi	khwarizmi	PROPN
alkej-1008	1	10	engineering	engineering	PROPN
alkej-1008	1	11	journal	journal	PROPN
alkej-1008	1	12	issn	issn	PROPN
alkej-1008	1	13	(	(	PUNCT
alkej-1008	1	14	printed	print	VERB
alkej-1008	1	15	):	):	PUNCT
alkej-1008	1	16	1818	1818	NUM
alkej-1008	1	17	–	–	PUNCT
alkej-1008	1	18	1171	1171	NUM
alkej-1008	1	19	,	,	PUNCT
alkej-1008	1	20	issn	issn	PROPN
alkej-1008	1	21	(	(	PUNCT
alkej-1008	1	22	online	online	ADJ
alkej-1008	1	23	):	):	PUNCT
alkej-1008	1	24	2312	2312	NUM
alkej-1008	1	25	–	–	PUNCT
alkej-1008	1	26	0789	0789	NUM
alkej-1008	1	27	vol	vol	NOUN
alkej-1008	1	28	.	.	PROPN
alkej-1008	1	29	21	21	NUM
alkej-1008	1	30	,	,	PUNCT
alkej-1008	1	31	no	no	INTJ
alkej-1008	1	32	.	.	NOUN
alkej-1008	1	33	2	2	NUM
alkej-1008	1	34	,	,	PUNCT
alkej-1008	1	35	june	june	PROPN
alkej-1008	1	36	,	,	PUNCT
alkej-1008	1	37	(	(	PUNCT
alkej-1008	1	38	2025	2025	NUM
alkej-1008	1	39	)	)	PUNCT
alkej-1008	1	40	,	,	PUNCT
alkej-1008	1	41	pp	pp	ADP
alkej-1008	1	42	.	.	PUNCT
alkej-1008	2	1	117–135	117–135	NUM
alkej-1008	2	2	k	k	X
alkej-1008	2	3	-	-	PUNCT
alkej-1008	2	4	gen	gen	ADJ
alkej-1008	2	5	phishguard	phishguard	NOUN
alkej-1008	2	6	:	:	PUNCT
alkej-1008	2	7	an	an	DET
alkej-1008	2	8	ensemble	ensemble	ADJ
alkej-1008	2	9	approach	approach	NOUN
alkej-1008	2	10	for	for	ADP
alkej-1008	2	11	phishing	phishe	VERB
alkej-1008	2	12	detection	detection	NOUN
alkej-1008	2	13	with	with	ADP
alkej-1008	2	14	k	k	NOUN
alkej-1008	2	15	-	-	PUNCT
alkej-1008	2	16	means	mean	NOUN
alkej-1008	2	17	and	and	CCONJ
alkej-1008	2	18	genetic	genetic	ADJ
alkej-1008	2	19	algorithm	algorithm	NOUN
alkej-1008	2	20	ali	ali	PROPN
alkej-1008	2	21	raheem	raheem	PROPN
alkej-1008	2	22	al	al	PROPN
alkej-1008	2	23	-	-	PROPN
alkej-1008	2	24	hafiz1	hafiz1	PROPN
alkej-1008	2	25	*	*	PROPN
alkej-1008	2	26	,	,	PUNCT
alkej-1008	2	27	adnan	adnan	PROPN
alkej-1008	2	28	j.	j.	PROPN
alkej-1008	2	29	jabir2	jabir2	PROPN
alkej-1008	2	30	and	and	CCONJ
alkej-1008	2	31	shamala	shamala	PROPN
alkej-1008	2	32	subramaniam3	subramaniam3	PROPN
alkej-1008	2	33	1	1	NUM
alkej-1008	2	34	,	,	PUNCT
alkej-1008	2	35	2	2	NUM
alkej-1008	2	36	department	department	NOUN
alkej-1008	2	37	of	of	ADP
alkej-1008	2	38	computer	computer	NOUN
alkej-1008	2	39	science	science	NOUN
alkej-1008	2	40	,	,	PUNCT
alkej-1008	2	41	college	college	NOUN
alkej-1008	2	42	of	of	ADP
alkej-1008	2	43	science	science	NOUN
alkej-1008	2	44	,	,	PUNCT
alkej-1008	2	45	university	university	NOUN
alkej-1008	2	46	of	of	ADP
alkej-1008	2	47	baghdad	baghdad	PROPN
alkej-1008	2	48	,	,	PUNCT
alkej-1008	2	49	baghdad	baghdad	PROPN
alkej-1008	2	50	,	,	PUNCT
alkej-1008	2	51	iraq	iraq	PROPN
alkej-1008	2	52	3	3	NUM
alkej-1008	2	53	department	department	NOUN
alkej-1008	2	54	of	of	ADP
alkej-1008	2	55	communication	communication	NOUN
alkej-1008	2	56	technology	technology	NOUN
alkej-1008	2	57	and	and	CCONJ
alkej-1008	2	58	networking	networking	NOUN
alkej-1008	2	59	,	,	PUNCT
alkej-1008	2	60	faculty	faculty	NOUN
alkej-1008	2	61	of	of	ADP
alkej-1008	2	62	computer	computer	NOUN
alkej-1008	2	63	science	science	NOUN
alkej-1008	2	64	and	and	CCONJ
alkej-1008	2	65	information	information	NOUN
alkej-1008	2	66	technology	technology	NOUN
alkej-1008	2	67	,	,	PUNCT
alkej-1008	2	68	universiti	universiti	PROPN
alkej-1008	2	69	putra	putra	PROPN
alkej-1008	2	70	malaysia	malaysia	PROPN
alkej-1008	2	71	,	,	PUNCT
alkej-1008	2	72	serdang	serdang	PROPN
alkej-1008	2	73	,	,	PUNCT
alkej-1008	2	74	43400	43400	NUM
alkej-1008	2	75	,	,	PUNCT
alkej-1008	2	76	selangor	selangor	PROPN
alkej-1008	2	77	darul	darul	PROPN
alkej-1008	2	78	ehsan	ehsan	PROPN
alkej-1008	2	79	,	,	PUNCT
alkej-1008	2	80	malaysia	malaysia	PROPN
alkej-1008	2	81	*	*	PUNCT
alkej-1008	2	82	corresponding	correspond	VERB
alkej-1008	2	83	author	author	NOUN
alkej-1008	2	84	’s	’s	PART
alkej-1008	2	85	email	email	NOUN
alkej-1008	2	86	:	:	PUNCT
alkej-1008	2	87	aliraheem2201m@sc.ubaghdad.edu.iq	aliraheem2201m@sc.ubaghdad.edu.iq	PUNCT
alkej-1008	2	88	(	(	PUNCT
alkej-1008	2	89	received	receive	VERB
alkej-1008	2	90	17	17	NUM
alkej-1008	2	91	november	november	PROPN
alkej-1008	2	92	2024	2024	NUM
alkej-1008	2	93	;	;	PUNCT
alkej-1008	2	94	revised	revise	VERB
alkej-1008	2	95	9	9	NUM
alkej-1008	2	96	march	march	NOUN
alkej-1008	2	97	2025	2025	NUM
alkej-1008	2	98	;	;	PUNCT
alkej-1008	2	99	accepted	accept	VERB
alkej-1008	2	100	20	20	NUM
alkej-1008	2	101	april	april	PROPN
alkej-1008	2	102	2025	2025	NUM
alkej-1008	2	103	;	;	PUNCT
alkej-1008	2	104	published	publish	VERB
alkej-1008	2	105	1	1	NUM
alkej-1008	2	106	june	june	PROPN
alkej-1008	2	107	2025	2025	NUM
alkej-1008	2	108	)	)	PUNCT
alkej-1008	2	109	https://doi.org/10.22153/kej.2025.04.011	https://doi.org/10.22153/kej.2025.04.011	NOUN
alkej-1008	2	110	abstract	abstract	ADJ
alkej-1008	2	111	phishing	phishe	VERB
alkej-1008	2	112	detection	detection	NOUN
alkej-1008	2	113	is	be	AUX
alkej-1008	2	114	considered	consider	VERB
alkej-1008	2	115	a	a	DET
alkej-1008	2	116	critical	critical	ADJ
alkej-1008	2	117	problem	problem	NOUN
alkej-1008	2	118	in	in	ADP
alkej-1008	2	119	cybersecurity	cybersecurity	NOUN
alkej-1008	2	120	,	,	PUNCT
alkej-1008	2	121	and	and	CCONJ
alkej-1008	2	122	utilising	utilise	VERB
alkej-1008	2	123	machine	machine	NOUN
alkej-1008	2	124	learning	learn	VERB
alkej-1008	2	125	with	with	ADP
alkej-1008	2	126	an	an	DET
alkej-1008	2	127	efficient	efficient	ADJ
alkej-1008	2	128	feature	feature	NOUN
alkej-1008	2	129	selection	selection	NOUN
alkej-1008	2	130	method	method	NOUN
alkej-1008	2	131	for	for	ADP
alkej-1008	2	132	precisely	precisely	ADV
alkej-1008	2	133	identifying	identify	VERB
alkej-1008	2	134	malicious	malicious	ADJ
alkej-1008	2	135	websites	website	NOUN
alkej-1008	2	136	is	be	AUX
alkej-1008	2	137	deemed	deem	VERB
alkej-1008	2	138	the	the	DET
alkej-1008	2	139	most	most	ADV
alkej-1008	2	140	critical	critical	ADJ
alkej-1008	2	141	challenge	challenge	NOUN
alkej-1008	2	142	.	.	PUNCT
alkej-1008	3	1	this	this	DET
alkej-1008	3	2	research	research	NOUN
alkej-1008	3	3	presents	present	VERB
alkej-1008	3	4	a	a	DET
alkej-1008	3	5	two	two	NUM
alkej-1008	3	6	-	-	PUNCT
alkej-1008	3	7	phase	phase	NOUN
alkej-1008	3	8	phishing	phishe	VERB
alkej-1008	3	9	detection	detection	NOUN
alkej-1008	3	10	system	system	NOUN
alkej-1008	3	11	by	by	ADP
alkej-1008	3	12	employing	employ	VERB
alkej-1008	3	13	unsupervised	unsupervised	ADJ
alkej-1008	3	14	feature	feature	NOUN
alkej-1008	3	15	selection	selection	NOUN
alkej-1008	3	16	and	and	CCONJ
alkej-1008	3	17	supervised	supervise	VERB
alkej-1008	3	18	classification	classification	NOUN
alkej-1008	3	19	.	.	PUNCT
alkej-1008	4	1	in	in	ADP
alkej-1008	4	2	the	the	DET
alkej-1008	4	3	first	first	ADJ
alkej-1008	4	4	phase	phase	NOUN
alkej-1008	4	5	,	,	PUNCT
alkej-1008	4	6	the	the	DET
alkej-1008	4	7	best	good	ADJ
alkej-1008	4	8	set	set	NOUN
alkej-1008	4	9	of	of	ADP
alkej-1008	4	10	features	feature	NOUN
alkej-1008	4	11	is	be	AUX
alkej-1008	4	12	identified	identify	VERB
alkej-1008	4	13	by	by	ADP
alkej-1008	4	14	the	the	DET
alkej-1008	4	15	genetic	genetic	ADJ
alkej-1008	4	16	algorithm	algorithm	NOUN
alkej-1008	4	17	and	and	CCONJ
alkej-1008	4	18	is	be	AUX
alkej-1008	4	19	utilised	utilise	VERB
alkej-1008	4	20	by	by	ADP
alkej-1008	4	21	the	the	DET
alkej-1008	4	22	kmeans	kmean	NOUN
alkej-1008	4	23	clustering	cluster	VERB
alkej-1008	4	24	algorithm	algorithm	NOUN
alkej-1008	4	25	to	to	PART
alkej-1008	4	26	divide	divide	VERB
alkej-1008	4	27	the	the	DET
alkej-1008	4	28	dataset	dataset	NOUN
alkej-1008	4	29	into	into	ADP
alkej-1008	4	30	groups	group	NOUN
alkej-1008	4	31	with	with	ADP
alkej-1008	4	32	similar	similar	ADJ
alkej-1008	4	33	traits	trait	NOUN
alkej-1008	4	34	.	.	PUNCT
alkej-1008	5	1	in	in	ADP
alkej-1008	5	2	the	the	DET
alkej-1008	5	3	second	second	ADJ
alkej-1008	5	4	phase	phase	NOUN
alkej-1008	5	5	,	,	PUNCT
alkej-1008	5	6	the	the	DET
alkej-1008	5	7	best	good	ADJ
alkej-1008	5	8	set	set	NOUN
alkej-1008	5	9	of	of	ADP
alkej-1008	5	10	features	feature	NOUN
alkej-1008	5	11	in	in	ADP
alkej-1008	5	12	each	each	DET
alkej-1008	5	13	group	group	NOUN
alkej-1008	5	14	is	be	AUX
alkej-1008	5	15	identified	identify	VERB
alkej-1008	5	16	through	through	ADP
alkej-1008	5	17	the	the	DET
alkej-1008	5	18	genetic	genetic	ADJ
alkej-1008	5	19	algorithm	algorithm	NOUN
alkej-1008	5	20	to	to	PART
alkej-1008	5	21	enhance	enhance	VERB
alkej-1008	5	22	the	the	DET
alkej-1008	5	23	classification	classification	NOUN
alkej-1008	5	24	process	process	NOUN
alkej-1008	5	25	.	.	PUNCT
alkej-1008	6	1	finally	finally	ADV
alkej-1008	6	2	,	,	PUNCT
alkej-1008	6	3	a	a	DET
alkej-1008	6	4	voting	voting	NOUN
alkej-1008	6	5	ensemble	ensemble	ADJ
alkej-1008	6	6	technique	technique	NOUN
alkej-1008	6	7	is	be	AUX
alkej-1008	6	8	applied	apply	VERB
alkej-1008	6	9	,	,	PUNCT
alkej-1008	6	10	in	in	ADP
alkej-1008	6	11	which	which	PRON
alkej-1008	6	12	the	the	DET
alkej-1008	6	13	support	support	NOUN
alkej-1008	6	14	vector	vector	NOUN
alkej-1008	6	15	machine	machine	NOUN
alkej-1008	6	16	(	(	PUNCT
alkej-1008	6	17	svm	svm	PROPN
alkej-1008	6	18	)	)	PUNCT
alkej-1008	6	19	,	,	PUNCT
alkej-1008	6	20	random	random	ADJ
alkej-1008	6	21	forest	forest	NOUN
alkej-1008	6	22	(	(	PUNCT
alkej-1008	6	23	rf	rf	NOUN
alkej-1008	6	24	)	)	PUNCT
alkej-1008	6	25	,	,	PUNCT
alkej-1008	6	26	extreme	extreme	ADJ
alkej-1008	6	27	gradient	gradient	NOUN
alkej-1008	6	28	boosting	boost	VERB
alkej-1008	6	29	(	(	PUNCT
alkej-1008	6	30	xgboost	xgboost	NUM
alkej-1008	6	31	)	)	PUNCT
alkej-1008	6	32	and	and	CCONJ
alkej-1008	6	33	adaptive	adaptive	ADJ
alkej-1008	6	34	boosting	boost	VERB
alkej-1008	6	35	(	(	PUNCT
alkej-1008	6	36	adaboost	adaboost	ADJ
alkej-1008	6	37	)	)	PUNCT
alkej-1008	6	38	models	model	NOUN
alkej-1008	6	39	are	be	AUX
alkej-1008	6	40	combined	combine	VERB
alkej-1008	6	41	.	.	PUNCT
alkej-1008	7	1	predictions	prediction	NOUN
alkej-1008	7	2	are	be	AUX
alkej-1008	7	3	aggregated	aggregate	VERB
alkej-1008	7	4	using	use	VERB
alkej-1008	7	5	a	a	DET
alkej-1008	7	6	soft	soft	ADJ
alkej-1008	7	7	voting	voting	NOUN
alkej-1008	7	8	mechanism	mechanism	NOUN
alkej-1008	7	9	.	.	PUNCT
alkej-1008	8	1	this	this	DET
alkej-1008	8	2	research	research	NOUN
alkej-1008	8	3	utilises	utilise	VERB
alkej-1008	8	4	the	the	DET
alkej-1008	8	5	web	web	NOUN
alkej-1008	8	6	page	page	NOUN
alkej-1008	8	7	phishing	phishe	VERB
alkej-1008	8	8	detection	detection	NOUN
alkej-1008	8	9	dataset	dataset	NOUN
alkej-1008	8	10	,	,	PUNCT
alkej-1008	8	11	which	which	PRON
alkej-1008	8	12	consists	consist	VERB
alkej-1008	8	13	of	of	ADP
alkej-1008	8	14	11,430	11,430	NUM
alkej-1008	8	15	urls	url	NOUN
alkej-1008	8	16	with	with	ADP
alkej-1008	8	17	87	87	NUM
alkej-1008	8	18	features	feature	NOUN
alkej-1008	8	19	.	.	PUNCT
alkej-1008	9	1	from	from	ADP
alkej-1008	9	2	the	the	DET
alkej-1008	9	3	results	result	NOUN
alkej-1008	9	4	,	,	PUNCT
alkej-1008	9	5	an	an	DET
alkej-1008	9	6	accuracy	accuracy	NOUN
alkej-1008	9	7	of	of	ADP
alkej-1008	9	8	99	99	NUM
alkej-1008	9	9	%	%	NOUN
alkej-1008	9	10	is	be	AUX
alkej-1008	9	11	achieved	achieve	VERB
alkej-1008	9	12	using	use	VERB
alkej-1008	9	13	the	the	DET
alkej-1008	9	14	voting	voting	NOUN
alkej-1008	9	15	ensemble	ensemble	ADJ
alkej-1008	9	16	technique	technique	NOUN
alkej-1008	9	17	with	with	ADP
alkej-1008	9	18	feature	feature	NOUN
alkej-1008	9	19	selection	selection	NOUN
alkej-1008	9	20	compared	compare	VERB
alkej-1008	9	21	with	with	ADP
alkej-1008	9	22	77.3	77.3	NUM
alkej-1008	9	23	%	%	NOUN
alkej-1008	9	24	without	without	ADP
alkej-1008	9	25	feature	feature	NOUN
alkej-1008	9	26	selection	selection	NOUN
alkej-1008	9	27	.	.	PUNCT
alkej-1008	10	1	the	the	DET
alkej-1008	10	2	model	model	NOUN
alkej-1008	10	3	performance	performance	NOUN
alkej-1008	10	4	experiences	experience	VERB
alkej-1008	10	5	a	a	DET
alkej-1008	10	6	significant	significant	ADJ
alkej-1008	10	7	boost	boost	NOUN
alkej-1008	10	8	through	through	ADP
alkej-1008	10	9	the	the	DET
alkej-1008	10	10	ga	ga	NOUN
alkej-1008	10	11	-	-	PUNCT
alkej-1008	10	12	optimised	optimise	VERB
alkej-1008	10	13	feature	feature	NOUN
alkej-1008	10	14	selection	selection	NOUN
alkej-1008	10	15	by	by	ADP
alkej-1008	10	16	reducing	reduce	VERB
alkej-1008	10	17	computational	computational	ADJ
alkej-1008	10	18	complexity	complexity	NOUN
alkej-1008	10	19	and	and	CCONJ
alkej-1008	10	20	improving	improve	VERB
alkej-1008	10	21	key	key	ADJ
alkej-1008	10	22	metrics	metric	NOUN
alkej-1008	10	23	such	such	ADJ
alkej-1008	10	24	as	as	ADP
alkej-1008	10	25	accuracy	accuracy	NOUN
alkej-1008	10	26	,	,	PUNCT
alkej-1008	10	27	precision	precision	NOUN
alkej-1008	10	28	and	and	CCONJ
alkej-1008	10	29	f1	f1	NOUN
alkej-1008	10	30	-	-	PUNCT
alkej-1008	10	31	score	score	NOUN
alkej-1008	10	32	.	.	PUNCT
alkej-1008	11	1	additionally	additionally	ADV
alkej-1008	11	2	,	,	PUNCT
alkej-1008	11	3	the	the	DET
alkej-1008	11	4	performance	performance	NOUN
alkej-1008	11	5	across	across	ADP
alkej-1008	11	6	four	four	NUM
alkej-1008	11	7	clusters	cluster	NOUN
alkej-1008	11	8	demonstrates	demonstrate	VERB
alkej-1008	11	9	the	the	DET
alkej-1008	11	10	positive	positive	ADJ
alkej-1008	11	11	impact	impact	NOUN
alkej-1008	11	12	of	of	ADP
alkej-1008	11	13	k	k	NOUN
alkej-1008	11	14	-	-	PUNCT
alkej-1008	11	15	means	means	NOUN
alkej-1008	11	16	clustering	cluster	VERB
alkej-1008	11	17	in	in	ADP
alkej-1008	11	18	improving	improve	VERB
alkej-1008	11	19	classification	classification	NOUN
alkej-1008	11	20	accuracy	accuracy	NOUN
alkej-1008	11	21	for	for	ADP
alkej-1008	11	22	specific	specific	ADJ
alkej-1008	11	23	data	datum	NOUN
alkej-1008	11	24	groups	group	NOUN
alkej-1008	11	25	.	.	PUNCT
alkej-1008	12	1	as	as	SCONJ
alkej-1008	12	2	proven	prove	VERB
alkej-1008	12	3	by	by	ADP
alkej-1008	12	4	the	the	DET
alkej-1008	12	5	obtained	obtain	VERB
alkej-1008	12	6	results	result	NOUN
alkej-1008	12	7	,	,	PUNCT
alkej-1008	12	8	integrating	integrate	VERB
alkej-1008	12	9	feature	feature	NOUN
alkej-1008	12	10	selection	selection	NOUN
alkej-1008	12	11	with	with	ADP
alkej-1008	12	12	ensemble	ensemble	ADJ
alkej-1008	12	13	learning	learning	NOUN
alkej-1008	12	14	is	be	AUX
alkej-1008	12	15	effective	effective	ADJ
alkej-1008	12	16	for	for	ADP
alkej-1008	12	17	phishing	phishe	VERB
alkej-1008	12	18	detection	detection	NOUN
alkej-1008	12	19	;	;	PUNCT
alkej-1008	12	20	moreover	moreover	ADV
alkej-1008	12	21	,	,	PUNCT
alkej-1008	12	22	the	the	DET
alkej-1008	12	23	scalability	scalability	NOUN
alkej-1008	12	24	and	and	CCONJ
alkej-1008	12	25	efficiency	efficiency	NOUN
alkej-1008	12	26	of	of	ADP
alkej-1008	12	27	such	such	DET
alkej-1008	12	28	a	a	DET
alkej-1008	12	29	solution	solution	NOUN
alkej-1008	12	30	in	in	ADP
alkej-1008	12	31	real	real	ADJ
alkej-1008	12	32	-	-	PUNCT
alkej-1008	12	33	world	world	NOUN
alkej-1008	12	34	applications	application	NOUN
alkej-1008	12	35	are	be	AUX
alkej-1008	12	36	demonstrated	demonstrate	VERB
alkej-1008	12	37	.	.	PUNCT
alkej-1008	13	1	keywords	keyword	NOUN
alkej-1008	13	2	:	:	PUNCT
alkej-1008	13	3	adaboost	adaboost	ADV
alkej-1008	13	4	;	;	PUNCT
alkej-1008	13	5	ensemble	ensemble	ADJ
alkej-1008	13	6	learning	learning	NOUN
alkej-1008	13	7	;	;	PUNCT
alkej-1008	13	8	feature	feature	NOUN
alkej-1008	13	9	selection	selection	NOUN
alkej-1008	13	10	;	;	PUNCT
alkej-1008	13	11	genetic	genetic	ADJ
alkej-1008	13	12	algorithm	algorithm	NOUN
alkej-1008	13	13	;	;	PUNCT
alkej-1008	13	14	k	k	X
alkej-1008	13	15	-	-	PUNCT
alkej-1008	13	16	means	mean	VERB
alkej-1008	13	17	clustering	clustering	NOUN
alkej-1008	13	18	;	;	PUNCT
alkej-1008	13	19	machine	machine	NOUN
alkej-1008	13	20	learning	learning	NOUN
alkej-1008	13	21	;	;	PUNCT
alkej-1008	13	22	phishing	phishe	VERB
alkej-1008	13	23	detection	detection	NOUN
alkej-1008	13	24	1	1	NUM
alkej-1008	13	25	.	.	PUNCT
alkej-1008	14	1	introduction	introduction	NOUN
alkej-1008	14	2	phishing	phishe	VERB
alkej-1008	14	3	is	be	AUX
alkej-1008	14	4	a	a	DET
alkej-1008	14	5	popular	popular	ADJ
alkej-1008	14	6	cyber	cyber	NOUN
alkej-1008	14	7	threat	threat	NOUN
alkej-1008	14	8	,	,	PUNCT
alkej-1008	14	9	where	where	SCONJ
alkej-1008	14	10	the	the	DET
alkej-1008	14	11	attacker	attacker	NOUN
alkej-1008	14	12	tricks	trick	VERB
alkej-1008	14	13	the	the	DET
alkej-1008	14	14	users	user	NOUN
alkej-1008	14	15	to	to	PART
alkej-1008	14	16	disclose	disclose	VERB
alkej-1008	14	17	sensitive	sensitive	ADJ
alkej-1008	14	18	information	information	NOUN
alkej-1008	14	19	,	,	PUNCT
alkej-1008	14	20	including	include	VERB
alkej-1008	14	21	credit	credit	NOUN
alkej-1008	14	22	card	card	NOUN
alkej-1008	14	23	numbers	number	NOUN
alkej-1008	14	24	,	,	PUNCT
alkej-1008	14	25	usernames	username	NOUN
alkej-1008	14	26	and	and	CCONJ
alkej-1008	14	27	passwords	password	NOUN
alkej-1008	14	28	.	.	PUNCT
alkej-1008	15	1	they	they	PRON
alkej-1008	15	2	create	create	VERB
alkej-1008	15	3	fake	fake	ADJ
alkej-1008	15	4	websites	website	NOUN
alkej-1008	15	5	that	that	PRON
alkej-1008	15	6	resemble	resemble	VERB
alkej-1008	15	7	legitimate	legitimate	ADJ
alkej-1008	15	8	ones	one	NOUN
alkej-1008	15	9	.	.	PUNCT
alkej-1008	16	1	the	the	DET
alkej-1008	16	2	frequency	frequency	NOUN
alkej-1008	16	3	of	of	ADP
alkej-1008	16	4	phishing	phishe	VERB
alkej-1008	16	5	attacks	attack	NOUN
alkej-1008	16	6	has	have	AUX
alkej-1008	16	7	seen	see	VERB
alkej-1008	16	8	a	a	DET
alkej-1008	16	9	dramatic	dramatic	ADJ
alkej-1008	16	10	rise	rise	NOUN
alkej-1008	16	11	with	with	ADP
alkej-1008	16	12	the	the	DET
alkej-1008	16	13	rapid	rapid	ADJ
alkej-1008	16	14	increase	increase	NOUN
alkej-1008	16	15	in	in	ADP
alkej-1008	16	16	internet	internet	NOUN
alkej-1008	16	17	usage	usage	NOUN
alkej-1008	16	18	,	,	PUNCT
alkej-1008	16	19	now	now	ADV
alkej-1008	16	20	reaching	reach	VERB
alkej-1008	16	21	nearly	nearly	ADV
alkej-1008	16	22	1.13	1.13	NUM
alkej-1008	16	23	billion	billion	NUM
alkej-1008	16	24	websites	website	NOUN
alkej-1008	16	25	and	and	CCONJ
alkej-1008	16	26	5.3	5.3	NUM
alkej-1008	16	27	billion	billion	NUM
alkej-1008	16	28	users	user	NOUN
alkej-1008	16	29	globally	globally	ADV
alkej-1008	16	30	as	as	ADP
alkej-1008	16	31	of	of	ADP
alkej-1008	16	32	october	october	PROPN
alkej-1008	16	33	2023	2023	NUM
alkej-1008	17	1	[	[	X
alkej-1008	17	2	1	1	NUM
alkej-1008	17	3	]	]	PUNCT
alkej-1008	17	4	.	.	PUNCT
alkej-1008	18	1	the	the	DET
alkej-1008	18	2	covid19	covid19	NOUN
alkej-1008	18	3	pandemic	pandemic	PROPN
alkej-1008	18	4	doubled	double	VERB
alkej-1008	18	5	down	down	ADP
alkej-1008	18	6	on	on	ADP
alkej-1008	18	7	this	this	DET
alkej-1008	18	8	surge	surge	NOUN
alkej-1008	18	9	,	,	PUNCT
alkej-1008	18	10	cementing	cement	VERB
alkej-1008	18	11	the	the	DET
alkej-1008	18	12	rise	rise	NOUN
alkej-1008	18	13	of	of	ADP
alkej-1008	18	14	online	online	ADJ
alkej-1008	18	15	platforms	platform	NOUN
alkej-1008	18	16	as	as	ADP
alkej-1008	18	17	a	a	DET
alkej-1008	18	18	way	way	NOUN
alkej-1008	18	19	to	to	PART
alkej-1008	18	20	work	work	VERB
alkej-1008	18	21	,	,	PUNCT
alkej-1008	18	22	learn	learn	VERB
alkej-1008	18	23	and	and	CCONJ
alkej-1008	18	24	bank	bank	NOUN
alkej-1008	18	25	.	.	PUNCT
alkej-1008	19	1	this	this	DET
alkej-1008	19	2	shift	shift	NOUN
alkej-1008	19	3	has	have	AUX
alkej-1008	19	4	been	be	AUX
alkej-1008	19	5	exploited	exploit	VERB
alkej-1008	19	6	by	by	ADP
alkej-1008	19	7	cybercriminals	cybercriminal	NOUN
alkej-1008	19	8	,	,	PUNCT
alkej-1008	19	9	using	use	VERB
alkej-1008	19	10	fake	fake	ADJ
alkej-1008	19	11	emails	email	NOUN
alkej-1008	19	12	as	as	ADP
alkej-1008	19	13	phishing	phishe	VERB
alkej-1008	19	14	tools	tool	NOUN
alkej-1008	19	15	to	to	PART
alkej-1008	19	16	create	create	VERB
alkej-1008	19	17	major	major	ADJ
alkej-1008	19	18	losses	loss	NOUN
alkej-1008	19	19	in	in	ADP
alkej-1008	19	20	customer	customer	NOUN
alkej-1008	19	21	trust	trust	NOUN
alkej-1008	19	22	,	,	PUNCT
alkej-1008	19	23	reputational	reputational	ADJ
alkej-1008	19	24	damage	damage	NOUN
alkej-1008	19	25	to	to	ADP
alkej-1008	19	26	businesses	business	NOUN
alkej-1008	19	27	and	and	CCONJ
alkej-1008	19	28	financial	financial	ADJ
alkej-1008	19	29	consequences	consequence	NOUN
alkej-1008	19	30	[	[	X
alkej-1008	19	31	2	2	NUM
alkej-1008	19	32	,	,	PUNCT
alkej-1008	19	33	3	3	NUM
alkej-1008	19	34	]	]	PUNCT
alkej-1008	19	35	.	.	PUNCT
alkej-1008	20	1	the	the	DET
alkej-1008	20	2	term	term	NOUN
alkej-1008	20	3	phishing	phishe	VERB
alkej-1008	20	4	attacks	attack	NOUN
alkej-1008	20	5	refers	refer	VERB
alkej-1008	20	6	to	to	ADP
alkej-1008	20	7	a	a	DET
alkej-1008	20	8	type	type	NOUN
alkej-1008	20	9	of	of	ADP
alkej-1008	20	10	social	social	ADJ
alkej-1008	20	11	engineering	engineering	NOUN
alkej-1008	20	12	in	in	ADP
alkej-1008	20	13	which	which	PRON
alkej-1008	20	14	attackers	attacker	NOUN
alkej-1008	20	15	exploit	exploit	VERB
alkej-1008	20	16	the	the	DET
alkej-1008	20	17	trust	trust	NOUN
alkej-1008	20	18	that	that	SCONJ
alkej-1008	20	19	the	the	DET
alkej-1008	20	20	natural	natural	ADJ
alkej-1008	20	21	person	person	NOUN
alkej-1008	20	22	has	have	AUX
alkej-1008	20	23	towards	towards	ADP
alkej-1008	20	24	the	the	DET
alkej-1008	20	25	attacker	attacker	NOUN
alkej-1008	20	26	and	and	CCONJ
alkej-1008	20	27	thus	thus	ADV
alkej-1008	20	28	not	not	PART
alkej-1008	20	29	a	a	DET
alkej-1008	20	30	technical	technical	ADJ
alkej-1008	20	31	vulnerability	vulnerability	NOUN
alkej-1008	20	32	.	.	PUNCT
alkej-1008	21	1	phishing	phishe	VERB
alkej-1008	21	2	is	be	AUX
alkej-1008	21	3	especially	especially	ADV
alkej-1008	21	4	dangerous	dangerous	ADJ
alkej-1008	21	5	because	because	SCONJ
alkej-1008	21	6	it	it	PRON
alkej-1008	21	7	can	can	AUX
alkej-1008	21	8	bypass	bypass	VERB
alkej-1008	21	9	the	the	DET
alkej-1008	21	10	most	most	ADV
alkej-1008	21	11	sophisticated	sophisticated	ADJ
alkej-1008	21	12	cybersecurity	cybersecurity	NOUN
alkej-1008	21	13	systems	system	NOUN
alkej-1008	21	14	.	.	PUNCT
alkej-1008	22	1	social	social	ADJ
alkej-1008	22	2	engineering	engineering	NOUN
alkej-1008	22	3	attacks	attack	NOUN
alkej-1008	22	4	amounted	amount	VERB
alkej-1008	22	5	to	to	ADP
alkej-1008	22	6	$	$	SYM
alkej-1008	22	7	121.22	121.22	NUM
alkej-1008	22	8	billion	billion	NUM
alkej-1008	22	9	in	in	ADP
alkej-1008	22	10	damages	damage	NOUN
alkej-1008	22	11	to	to	ADP
alkej-1008	22	12	the	the	DET
alkej-1008	22	13	u.s	u.s	PROPN
alkej-1008	22	14	.	.	PROPN
alkej-1008	22	15	in	in	ADP
alkej-1008	22	16	2016	2016	NUM
alkej-1008	22	17	,	,	PUNCT
alkej-1008	22	18	mailto:aliraheem2201m@sc.ubaghdad.edu.iq	mailto:aliraheem2201m@sc.ubaghdad.edu.iq	PROPN
alkej-1008	22	19	https://doi.org/10.22153/kej.2025.04.011	https://doi.org/10.22153/kej.2025.04.011	PROPN
alkej-1008	22	20	ali	ali	PROPN
alkej-1008	22	21	raheem	raheem	PROPN
alkej-1008	22	22	al	al	PROPN
alkej-1008	22	23	-	-	PROPN
alkej-1008	22	24	hafiz	hafiz	PROPN
alkej-1008	22	25	al	al	PROPN
alkej-1008	22	26	-	-	PUNCT
alkej-1008	22	27	khwarizmi	khwarizmi	PROPN
alkej-1008	22	28	engineering	engineering	NOUN
alkej-1008	22	29	journal	journal	PROPN
alkej-1008	22	30	,	,	PUNCT
alkej-1008	22	31	vol	vol	NOUN
alkej-1008	22	32	.	.	PROPN
alkej-1008	22	33	21	21	NUM
alkej-1008	22	34	,	,	PUNCT
alkej-1008	22	35	no.2	no.2	PROPN
alkej-1008	22	36	,	,	PUNCT
alkej-1008	22	37	pp	pp	ADJ
alkej-1008	22	38	.	.	PUNCT
alkej-1008	23	1	117	117	NUM
alkej-1008	23	2	-	-	SYM
alkej-1008	23	3	135	135	NUM
alkej-1008	23	4	(	(	PUNCT
alkej-1008	23	5	2025	2025	NUM
alkej-1008	23	6	)	)	PUNCT
alkej-1008	24	1	118	118	NUM
alkej-1008	24	2	followed	follow	VERB
alkej-1008	24	3	by	by	ADP
alkej-1008	24	4	similar	similar	ADJ
alkej-1008	24	5	impacts	impact	NOUN
alkej-1008	24	6	globally	globally	ADV
alkej-1008	24	7	,	,	PUNCT
alkej-1008	24	8	as	as	SCONJ
alkej-1008	24	9	the	the	DET
alkej-1008	24	10	u.s	u.s	PROPN
alkej-1008	24	11	.	.	PROPN
alkej-1008	24	12	department	department	PROPN
alkej-1008	24	13	of	of	ADP
alkej-1008	24	14	justice	justice	PROPN
alkej-1008	24	15	noted	note	VERB
alkej-1008	24	16	[	[	X
alkej-1008	24	17	4	4	NUM
alkej-1008	24	18	]	]	PUNCT
alkej-1008	24	19	.	.	PUNCT
alkej-1008	25	1	however	however	ADV
alkej-1008	25	2	,	,	PUNCT
alkej-1008	25	3	phishing	phishe	VERB
alkej-1008	25	4	url	url	NOUN
alkej-1008	25	5	detection	detection	NOUN
alkej-1008	25	6	in	in	ADP
alkej-1008	25	7	web	web	NOUN
alkej-1008	25	8	data	datum	NOUN
alkej-1008	25	9	is	be	AUX
alkej-1008	25	10	a	a	DET
alkej-1008	25	11	difficult	difficult	ADJ
alkej-1008	25	12	task	task	NOUN
alkej-1008	25	13	because	because	SCONJ
alkej-1008	25	14	web	web	NOUN
alkej-1008	25	15	data	datum	NOUN
alkej-1008	25	16	are	be	AUX
alkej-1008	25	17	generally	generally	ADV
alkej-1008	25	18	unstructured	unstructured	ADJ
alkej-1008	25	19	and	and	CCONJ
alkej-1008	25	20	unpredictable	unpredictable	ADJ
alkej-1008	25	21	.	.	PUNCT
alkej-1008	26	1	researchers	researcher	NOUN
alkej-1008	26	2	have	have	AUX
alkej-1008	26	3	adopted	adopt	VERB
alkej-1008	26	4	feature	feature	NOUN
alkej-1008	26	5	selection	selection	NOUN
alkej-1008	26	6	techniques	technique	NOUN
alkej-1008	26	7	to	to	PART
alkej-1008	26	8	improve	improve	VERB
alkej-1008	26	9	classifier	classifier	ADJ
alkej-1008	26	10	performance	performance	NOUN
alkej-1008	26	11	by	by	ADP
alkej-1008	26	12	identifying	identify	VERB
alkej-1008	26	13	the	the	DET
alkej-1008	26	14	most	most	ADV
alkej-1008	26	15	influential	influential	ADJ
alkej-1008	26	16	features	feature	NOUN
alkej-1008	26	17	to	to	PART
alkej-1008	26	18	enhance	enhance	VERB
alkej-1008	26	19	phishing	phishe	VERB
alkej-1008	26	20	detection	detection	NOUN
alkej-1008	26	21	.	.	PUNCT
alkej-1008	27	1	these	these	DET
alkej-1008	27	2	techniques	technique	NOUN
alkej-1008	27	3	are	be	AUX
alkej-1008	27	4	critical	critical	ADJ
alkej-1008	27	5	in	in	ADP
alkej-1008	27	6	reducing	reduce	VERB
alkej-1008	27	7	model	model	NOUN
alkej-1008	27	8	complexity	complexity	NOUN
alkej-1008	27	9	to	to	PART
alkej-1008	27	10	preserve	preserve	VERB
alkej-1008	27	11	or	or	CCONJ
alkej-1008	27	12	upgrade	upgrade	VERB
alkej-1008	27	13	its	its	PRON
alkej-1008	27	14	detection	detection	NOUN
alkej-1008	27	15	ability	ability	NOUN
alkej-1008	27	16	[	[	X
alkej-1008	27	17	5	5	NUM
alkej-1008	27	18	]	]	PUNCT
alkej-1008	27	19	.	.	PUNCT
alkej-1008	28	1	recent	recent	ADJ
alkej-1008	28	2	works	work	NOUN
alkej-1008	28	3	have	have	AUX
alkej-1008	28	4	demonstrated	demonstrate	VERB
alkej-1008	28	5	that	that	SCONJ
alkej-1008	28	6	the	the	DET
alkej-1008	28	7	effectiveness	effectiveness	NOUN
alkej-1008	28	8	of	of	ADP
alkej-1008	28	9	principal	principal	ADJ
alkej-1008	28	10	component	component	NOUN
alkej-1008	28	11	analysis	analysis	NOUN
alkej-1008	28	12	(	(	PUNCT
alkej-1008	28	13	pca	pca	NOUN
alkej-1008	28	14	)	)	PUNCT
alkej-1008	28	15	in	in	ADP
alkej-1008	28	16	retaining	retain	VERB
alkej-1008	28	17	important	important	ADJ
alkej-1008	28	18	patterns	pattern	NOUN
alkej-1008	28	19	of	of	ADP
alkej-1008	28	20	url	url	NOUN
alkej-1008	28	21	or	or	CCONJ
alkej-1008	28	22	html	html	NOUN
alkej-1008	28	23	features	feature	NOUN
alkej-1008	28	24	enhances	enhance	VERB
alkej-1008	28	25	the	the	DET
alkej-1008	28	26	performance	performance	NOUN
alkej-1008	28	27	of	of	ADP
alkej-1008	28	28	machine	machine	NOUN
alkej-1008	28	29	learning	learning	NOUN
alkej-1008	28	30	based	base	VERB
alkej-1008	28	31	phishing	phishe	VERB
alkej-1008	28	32	detector	detector	NOUN
alkej-1008	28	33	models	model	NOUN
alkej-1008	28	34	[	[	X
alkej-1008	28	35	6	6	NUM
alkej-1008	28	36	]	]	PUNCT
alkej-1008	28	37	.	.	PUNCT
alkej-1008	29	1	high	high	ADJ
alkej-1008	29	2	dimensional	dimensional	ADJ
alkej-1008	29	3	data	datum	NOUN
alkej-1008	29	4	with	with	ADP
alkej-1008	29	5	many	many	ADJ
alkej-1008	29	6	relevant	relevant	ADJ
alkej-1008	29	7	or	or	CCONJ
alkej-1008	29	8	redundant	redundant	ADJ
alkej-1008	29	9	features	feature	NOUN
alkej-1008	29	10	,	,	PUNCT
alkej-1008	29	11	constitute	constitute	VERB
alkej-1008	29	12	a	a	DET
alkej-1008	29	13	major	major	ADJ
alkej-1008	29	14	hindrance	hindrance	NOUN
alkej-1008	29	15	of	of	ADP
alkej-1008	29	16	traditional	traditional	ADJ
alkej-1008	29	17	machine	machine	NOUN
alkej-1008	29	18	learning	learning	NOUN
alkej-1008	29	19	models	model	NOUN
alkej-1008	29	20	for	for	ADP
alkej-1008	29	21	phishing	phishe	VERB
alkej-1008	29	22	detection	detection	NOUN
alkej-1008	29	23	.	.	PUNCT
alkej-1008	30	1	it	it	PRON
alkej-1008	30	2	decreases	decrease	VERB
alkej-1008	30	3	accuracy	accuracy	NOUN
alkej-1008	30	4	and	and	CCONJ
alkej-1008	30	5	detection	detection	NOUN
alkej-1008	30	6	speed	speed	NOUN
alkej-1008	30	7	whilst	whilst	SCONJ
alkej-1008	30	8	increasing	increase	VERB
alkej-1008	30	9	the	the	DET
alkej-1008	30	10	computational	computational	ADJ
alkej-1008	30	11	costs	cost	NOUN
alkej-1008	30	12	.	.	PUNCT
alkej-1008	31	1	the	the	DET
alkej-1008	31	2	research	research	NOUN
alkej-1008	31	3	therefore	therefore	ADV
alkej-1008	31	4	proposed	propose	VERB
alkej-1008	31	5	a	a	DET
alkej-1008	31	6	two	two	NUM
alkej-1008	31	7	-	-	PUNCT
alkej-1008	31	8	phase	phase	NOUN
alkej-1008	31	9	system	system	NOUN
alkej-1008	31	10	for	for	ADP
alkej-1008	31	11	phishing	phishe	VERB
alkej-1008	31	12	detection	detection	NOUN
alkej-1008	31	13	,	,	PUNCT
alkej-1008	31	14	where	where	SCONJ
alkej-1008	31	15	the	the	DET
alkej-1008	31	16	first	first	ADJ
alkej-1008	31	17	phase	phase	NOUN
alkej-1008	31	18	contains	contain	VERB
alkej-1008	31	19	a	a	DET
alkej-1008	31	20	hybrid	hybrid	ADJ
alkej-1008	31	21	model	model	NOUN
alkej-1008	31	22	combining	combine	VERB
alkej-1008	31	23	k	k	PROPN
alkej-1008	31	24	-	-	PUNCT
alkej-1008	31	25	means	mean	VERB
alkej-1008	31	26	clustering	clustering	ADJ
alkej-1008	31	27	and	and	CCONJ
alkej-1008	31	28	genetic	genetic	ADJ
alkej-1008	31	29	algorithm	algorithm	NOUN
alkej-1008	31	30	to	to	PART
alkej-1008	31	31	determine	determine	VERB
alkej-1008	31	32	the	the	DET
alkej-1008	31	33	best	good	ADJ
alkej-1008	31	34	feature	feature	NOUN
alkej-1008	31	35	set	set	VERB
alkej-1008	31	36	used	use	VERB
alkej-1008	31	37	for	for	ADP
alkej-1008	31	38	producing	produce	VERB
alkej-1008	31	39	highly	highly	ADV
alkej-1008	31	40	separated	separate	VERB
alkej-1008	31	41	clusters	cluster	NOUN
alkej-1008	31	42	.	.	PUNCT
alkej-1008	32	1	reducing	reduce	VERB
alkej-1008	32	2	complexity	complexity	NOUN
alkej-1008	32	3	in	in	ADP
alkej-1008	32	4	datasets	dataset	NOUN
alkej-1008	32	5	by	by	ADP
alkej-1008	32	6	grouping	group	VERB
alkej-1008	32	7	similar	similar	ADJ
alkej-1008	32	8	data	datum	NOUN
alkej-1008	32	9	points	point	NOUN
alkej-1008	32	10	is	be	AUX
alkej-1008	32	11	achieved	achieve	VERB
alkej-1008	32	12	through	through	ADP
alkej-1008	32	13	k	k	ADJ
alkej-1008	32	14	-	-	PUNCT
alkej-1008	32	15	means	means	NOUN
alkej-1008	32	16	clustering	clustering	NOUN
alkej-1008	32	17	,	,	PUNCT
alkej-1008	32	18	whilst	whilst	SCONJ
alkej-1008	32	19	the	the	DET
alkej-1008	32	20	ga	ga	PROPN
alkej-1008	32	21	improved	improve	VERB
alkej-1008	32	22	feature	feature	NOUN
alkej-1008	32	23	selection	selection	NOUN
alkej-1008	32	24	by	by	ADP
alkej-1008	32	25	identifying	identify	VERB
alkej-1008	32	26	the	the	DET
alkej-1008	32	27	most	most	ADV
alkej-1008	32	28	relevant	relevant	ADJ
alkej-1008	32	29	features	feature	NOUN
alkej-1008	32	30	using	use	VERB
alkej-1008	32	31	genetic	genetic	ADJ
alkej-1008	32	32	algorithm	algorithm	NOUN
alkej-1008	32	33	.	.	PUNCT
alkej-1008	33	1	in	in	ADP
alkej-1008	33	2	the	the	DET
alkej-1008	33	3	second	second	ADJ
alkej-1008	33	4	stage	stage	NOUN
alkej-1008	33	5	,	,	PUNCT
alkej-1008	33	6	a	a	DET
alkej-1008	33	7	system	system	NOUN
alkej-1008	33	8	using	use	VERB
alkej-1008	33	9	a	a	DET
alkej-1008	33	10	genetic	genetic	ADJ
alkej-1008	33	11	algorithm	algorithm	NOUN
alkej-1008	33	12	with	with	ADP
alkej-1008	33	13	a	a	DET
alkej-1008	33	14	voting	vote	VERB
alkej-1008	33	15	ensemble	ensemble	ADJ
alkej-1008	33	16	model	model	NOUN
alkej-1008	33	17	is	be	AUX
alkej-1008	33	18	proposed	propose	VERB
alkej-1008	33	19	which	which	PRON
alkej-1008	33	20	enhances	enhance	VERB
alkej-1008	33	21	the	the	DET
alkej-1008	33	22	system	system	NOUN
alkej-1008	33	23	’s	’s	PART
alkej-1008	33	24	capacity	capacity	NOUN
alkej-1008	33	25	to	to	PART
alkej-1008	33	26	differentiate	differentiate	VERB
alkej-1008	33	27	between	between	ADP
alkej-1008	33	28	phishing	phishe	VERB
alkej-1008	33	29	and	and	CCONJ
alkej-1008	33	30	legitimate	legitimate	ADJ
alkej-1008	33	31	sites	site	NOUN
alkej-1008	33	32	,	,	PUNCT
alkej-1008	33	33	leading	lead	VERB
alkej-1008	33	34	to	to	ADP
alkej-1008	33	35	improved	improve	VERB
alkej-1008	33	36	detection	detection	NOUN
alkej-1008	33	37	accuracy	accuracy	NOUN
alkej-1008	33	38	and	and	CCONJ
alkej-1008	33	39	decreased	decrease	VERB
alkej-1008	33	40	false	false	ADJ
alkej-1008	33	41	positives	positive	NOUN
alkej-1008	33	42	and	and	CCONJ
alkej-1008	33	43	false	false	ADJ
alkej-1008	33	44	negatives	negative	NOUN
alkej-1008	33	45	.	.	PUNCT
alkej-1008	34	1	the	the	DET
alkej-1008	34	2	key	key	ADJ
alkej-1008	34	3	contributions	contribution	NOUN
alkej-1008	34	4	of	of	ADP
alkej-1008	34	5	this	this	DET
alkej-1008	34	6	research	research	NOUN
alkej-1008	34	7	include	include	VERB
alkej-1008	34	8	the	the	DET
alkej-1008	34	9	following	follow	VERB
alkej-1008	34	10	:	:	PUNCT
alkej-1008	34	11	•	•	NUM
alkej-1008	34	12	enhanced	enhance	VERB
alkej-1008	34	13	feature	feature	NOUN
alkej-1008	34	14	selection	selection	NOUN
alkej-1008	34	15	:	:	PUNCT
alkej-1008	34	16	the	the	DET
alkej-1008	34	17	combination	combination	NOUN
alkej-1008	34	18	of	of	ADP
alkej-1008	34	19	genetic	genetic	ADJ
alkej-1008	34	20	algorithm	algorithm	NOUN
alkej-1008	34	21	and	and	CCONJ
alkej-1008	34	22	k	k	NOUN
alkej-1008	34	23	-	-	PUNCT
alkej-1008	34	24	means	means	NOUN
alkej-1008	34	25	contributes	contribute	VERB
alkej-1008	34	26	to	to	ADP
alkej-1008	34	27	determining	determine	VERB
alkej-1008	34	28	the	the	DET
alkej-1008	34	29	best	good	ADJ
alkej-1008	34	30	feature	feature	NOUN
alkej-1008	34	31	set	set	VERB
alkej-1008	34	32	to	to	PART
alkej-1008	34	33	separate	separate	VERB
alkej-1008	34	34	the	the	DET
alkej-1008	34	35	dataset	dataset	NOUN
alkej-1008	34	36	in	in	ADP
alkej-1008	34	37	different	different	ADJ
alkej-1008	34	38	groups	group	NOUN
alkej-1008	34	39	.	.	PUNCT
alkej-1008	35	1	•	•	NUM
alkej-1008	35	2	select	select	ADJ
alkej-1008	35	3	classifier	classifier	NOUN
alkej-1008	35	4	:	:	PUNCT
alkej-1008	35	5	the	the	DET
alkej-1008	35	6	genetic	genetic	ADJ
alkej-1008	35	7	algorithm	algorithm	NOUN
alkej-1008	35	8	was	be	AUX
alkej-1008	35	9	employed	employ	VERB
alkej-1008	35	10	to	to	PART
alkej-1008	35	11	select	select	VERB
alkej-1008	35	12	the	the	DET
alkej-1008	35	13	classifier	classifier	NOUN
alkej-1008	35	14	in	in	ADP
alkej-1008	35	15	the	the	DET
alkej-1008	35	16	ensemble	ensemble	ADJ
alkej-1008	35	17	learning	learning	NOUN
alkej-1008	35	18	process	process	NOUN
alkej-1008	35	19	based	base	VERB
alkej-1008	35	20	on	on	ADP
alkej-1008	35	21	the	the	DET
alkej-1008	35	22	performance	performance	NOUN
alkej-1008	35	23	metrics	metric	NOUN
alkej-1008	35	24	results	result	NOUN
alkej-1008	35	25	.	.	PUNCT
alkej-1008	36	1	•	•	NUM
alkej-1008	36	2	improved	improve	VERB
alkej-1008	36	3	accuracy	accuracy	NOUN
alkej-1008	36	4	:	:	PUNCT
alkej-1008	36	5	by	by	ADP
alkej-1008	36	6	selecting	select	VERB
alkej-1008	36	7	the	the	DET
alkej-1008	36	8	most	most	ADV
alkej-1008	36	9	critical	critical	ADJ
alkej-1008	36	10	features	feature	NOUN
alkej-1008	36	11	,	,	PUNCT
alkej-1008	36	12	the	the	DET
alkej-1008	36	13	model	model	NOUN
alkej-1008	36	14	increases	increase	VERB
alkej-1008	36	15	its	its	PRON
alkej-1008	36	16	ability	ability	NOUN
alkej-1008	36	17	to	to	PART
alkej-1008	36	18	accurately	accurately	ADV
alkej-1008	36	19	detect	detect	VERB
alkej-1008	36	20	phishing	phishe	VERB
alkej-1008	36	21	websites	website	NOUN
alkej-1008	36	22	.	.	PUNCT
alkej-1008	37	1	2	2	X
alkej-1008	37	2	.	.	X
alkej-1008	37	3	related	relate	VERB
alkej-1008	37	4	work	work	NOUN
alkej-1008	37	5	researchers	researcher	NOUN
alkej-1008	37	6	have	have	AUX
alkej-1008	37	7	developed	develop	VERB
alkej-1008	37	8	various	various	ADJ
alkej-1008	37	9	methods	method	NOUN
alkej-1008	37	10	to	to	PART
alkej-1008	37	11	fight	fight	VERB
alkej-1008	37	12	against0	against0	NOUN
alkej-1008	37	13	phishing	phishe	VERB
alkej-1008	37	14	attacks	attack	NOUN
alkej-1008	37	15	in	in	ADP
alkej-1008	37	16	the	the	DET
alkej-1008	37	17	ongoing	ongoing	ADJ
alkej-1008	37	18	battle	battle	NOUN
alkej-1008	37	19	.	.	PUNCT
alkej-1008	38	1	however	however	ADV
alkej-1008	38	2	,	,	PUNCT
alkej-1008	38	3	web	web	NOUN
alkej-1008	38	4	browsers	browser	NOUN
alkej-1008	38	5	,	,	PUNCT
alkej-1008	38	6	such	such	ADJ
alkej-1008	38	7	as	as	ADP
alkej-1008	38	8	google	google	PROPN
alkej-1008	38	9	chrome	chrome	NOUN
alkej-1008	38	10	,	,	PUNCT
alkej-1008	38	11	microsoft	microsoft	PROPN
alkej-1008	38	12	edge	edge	NOUN
alkej-1008	38	13	and	and	CCONJ
alkej-1008	38	14	firefox	firefox	NOUN
alkej-1008	38	15	,	,	PUNCT
alkej-1008	38	16	first	first	ADV
alkej-1008	38	17	used	use	VERB
alkej-1008	38	18	whitelisting	whitelisting	NOUN
alkej-1008	38	19	and	and	CCONJ
alkej-1008	38	20	blacklisting	blacklist	VERB
alkej-1008	38	21	method	method	NOUN
alkej-1008	38	22	to	to	PART
alkej-1008	38	23	identify	identify	VERB
alkej-1008	38	24	phishing	phishe	VERB
alkej-1008	38	25	sites	site	NOUN
alkej-1008	38	26	whilst	whilst	SCONJ
alkej-1008	38	27	allowing	allow	VERB
alkej-1008	38	28	legitimate	legitimate	ADJ
alkej-1008	38	29	sites	site	NOUN
alkej-1008	38	30	and	and	CCONJ
alkej-1008	38	31	blocking	block	VERB
alkej-1008	38	32	malicious	malicious	ADJ
alkej-1008	38	33	ones	one	NOUN
alkej-1008	38	34	[	[	X
alkej-1008	38	35	7	7	NUM
alkej-1008	38	36	]	]	PUNCT
alkej-1008	38	37	.	.	PUNCT
alkej-1008	39	1	google	google	PROPN
alkej-1008	39	2	even	even	ADV
alkej-1008	39	3	took	take	VERB
alkej-1008	39	4	this	this	DET
alkej-1008	39	5	one	one	NUM
alkej-1008	39	6	step	step	NOUN
alkej-1008	39	7	further	far	ADV
alkej-1008	39	8	and	and	CCONJ
alkej-1008	39	9	offered	offer	VERB
alkej-1008	39	10	a	a	DET
alkej-1008	39	11	blacklist	blacklist	NOUN
alkej-1008	39	12	api	api	NOUN
alkej-1008	39	13	which	which	PRON
alkej-1008	39	14	acts	act	VERB
alkej-1008	39	15	as	as	ADP
alkej-1008	39	16	a	a	DET
alkej-1008	39	17	database	database	NOUN
alkej-1008	39	18	of	of	ADP
alkej-1008	39	19	unsafe	unsafe	ADJ
alkej-1008	39	20	websites	website	NOUN
alkej-1008	39	21	and	and	CCONJ
alkej-1008	39	22	ip	ip	NOUN
alkej-1008	39	23	addresses	address	NOUN
alkej-1008	39	24	,	,	PUNCT
alkej-1008	39	25	assisting	assist	VERB
alkej-1008	39	26	users	user	NOUN
alkej-1008	39	27	in	in	ADP
alkej-1008	39	28	verifying	verify	VERB
alkej-1008	39	29	urls	url	NOUN
alkej-1008	39	30	.	.	PUNCT
alkej-1008	40	1	however	however	ADV
alkej-1008	40	2	,	,	PUNCT
alkej-1008	40	3	these	these	DET
alkej-1008	40	4	early	early	ADJ
alkej-1008	40	5	methods	method	NOUN
alkej-1008	40	6	had	have	VERB
alkej-1008	40	7	huge	huge	ADJ
alkej-1008	40	8	drawbacks	drawback	NOUN
alkej-1008	40	9	.	.	PUNCT
alkej-1008	41	1	they	they	PRON
alkej-1008	41	2	were	be	AUX
alkej-1008	41	3	susceptible	susceptible	ADJ
alkej-1008	41	4	to	to	ADP
alkej-1008	41	5	minor	minor	ADJ
alkej-1008	41	6	url	url	NOUN
alkej-1008	41	7	changes	change	NOUN
alkej-1008	41	8	and	and	CCONJ
alkej-1008	41	9	zero	zero	NUM
alkej-1008	41	10	day	day	NOUN
alkej-1008	41	11	phishing	phishe	VERB
alkej-1008	41	12	attacks	attack	NOUN
alkej-1008	41	13	and	and	CCONJ
alkej-1008	41	14	were	be	AUX
alkej-1008	41	15	prone	prone	ADJ
alkej-1008	41	16	to	to	ADP
alkej-1008	41	17	creating	create	VERB
alkej-1008	41	18	a	a	DET
alkej-1008	41	19	high	high	ADJ
alkej-1008	41	20	false	false	ADJ
alkej-1008	41	21	positive	positive	ADJ
alkej-1008	41	22	rate	rate	NOUN
alkej-1008	41	23	[	[	X
alkej-1008	41	24	7	7	NUM
alkej-1008	41	25	]	]	PUNCT
alkej-1008	41	26	.	.	PUNCT
alkej-1008	42	1	in	in	ADP
alkej-1008	42	2	light	light	NOUN
alkej-1008	42	3	of	of	ADP
alkej-1008	42	4	these	these	DET
alkej-1008	42	5	limitations	limitation	NOUN
alkej-1008	42	6	,	,	PUNCT
alkej-1008	42	7	other	other	ADJ
alkej-1008	42	8	sophisticated	sophisticated	ADJ
alkej-1008	42	9	techniques	technique	NOUN
alkej-1008	42	10	started	start	VERB
alkej-1008	42	11	to	to	PART
alkej-1008	42	12	appear	appear	VERB
alkej-1008	42	13	.	.	PUNCT
alkej-1008	43	1	features	feature	NOUN
alkej-1008	43	2	such	such	ADJ
alkej-1008	43	3	as	as	SCONJ
alkej-1008	43	4	css	css	ADJ
alkej-1008	43	5	files	file	NOUN
alkej-1008	43	6	were	be	AUX
alkej-1008	43	7	used	use	VERB
alkej-1008	43	8	to	to	PART
alkej-1008	43	9	differentiate	differentiate	VERB
alkej-1008	43	10	phishing	phishe	VERB
alkej-1008	43	11	sites	site	NOUN
alkej-1008	43	12	from	from	ADP
alkej-1008	43	13	legitimate	legitimate	ADJ
alkej-1008	43	14	ones	one	NOUN
alkej-1008	43	15	and	and	CCONJ
alkej-1008	43	16	serve	serve	VERB
alkej-1008	43	17	as	as	ADP
alkej-1008	43	18	a	a	DET
alkej-1008	43	19	pivotal	pivotal	ADJ
alkej-1008	43	20	approach	approach	NOUN
alkej-1008	43	21	in	in	ADP
alkej-1008	43	22	visual	visual	ADJ
alkej-1008	43	23	similarity	similarity	NOUN
alkej-1008	43	24	detection	detection	NOUN
alkej-1008	44	1	[	[	X
alkej-1008	44	2	8	8	NUM
alkej-1008	44	3	]	]	PUNCT
alkej-1008	44	4	.	.	PUNCT
alkej-1008	45	1	the	the	DET
alkej-1008	45	2	link	link	NOUN
alkej-1008	45	3	guard	guard	PROPN
alkej-1008	45	4	algorithm	algorithm	NOUN
alkej-1008	46	1	[	[	X
alkej-1008	46	2	9	9	NUM
alkej-1008	46	3	]	]	PUNCT
alkej-1008	46	4	enhanced	enhance	VERB
alkej-1008	46	5	this	this	DET
alkej-1008	46	6	approach	approach	NOUN
alkej-1008	46	7	by	by	ADP
alkej-1008	46	8	analysing	analyse	VERB
alkej-1008	46	9	the	the	DET
alkej-1008	46	10	visual	visual	ADJ
alkej-1008	46	11	similarities	similarity	NOUN
alkej-1008	46	12	between	between	ADP
alkej-1008	46	13	target	target	NOUN
alkej-1008	46	14	pages	page	NOUN
alkej-1008	46	15	and	and	CCONJ
alkej-1008	46	16	known	know	VERB
alkej-1008	46	17	phishing	phishing	NOUN
alkej-1008	46	18	sites	site	NOUN
alkej-1008	46	19	through	through	ADP
alkej-1008	46	20	an	an	DET
alkej-1008	46	21	image	image	NOUN
alkej-1008	46	22	-	-	PUNCT
alkej-1008	46	23	based	base	VERB
alkej-1008	46	24	matching	matching	NOUN
alkej-1008	46	25	method	method	NOUN
alkej-1008	46	26	.	.	PUNCT
alkej-1008	47	1	to	to	PART
alkej-1008	47	2	further	far	ADV
alkej-1008	47	3	improve	improve	VERB
alkej-1008	47	4	detection	detection	NOUN
alkej-1008	47	5	accuracy	accuracy	NOUN
alkej-1008	47	6	and	and	CCONJ
alkej-1008	47	7	address	address	VERB
alkej-1008	47	8	the	the	DET
alkej-1008	47	9	weaknesses	weakness	NOUN
alkej-1008	47	10	of	of	ADP
alkej-1008	47	11	purely	purely	ADV
alkej-1008	47	12	visual	visual	ADJ
alkej-1008	47	13	methods	method	NOUN
alkej-1008	47	14	,	,	PUNCT
alkej-1008	47	15	researchers	researcher	NOUN
alkej-1008	47	16	began	begin	VERB
alkej-1008	47	17	to	to	PART
alkej-1008	47	18	integrate	integrate	VERB
alkej-1008	47	19	visual	visual	ADJ
alkej-1008	47	20	similarity	similarity	NOUN
alkej-1008	47	21	with	with	ADP
alkej-1008	47	22	machine	machine	NOUN
alkej-1008	47	23	learning	learn	VERB
alkej-1008	47	24	techniques	technique	NOUN
alkej-1008	47	25	[	[	X
alkej-1008	47	26	10	10	NUM
alkej-1008	47	27	]	]	PUNCT
alkej-1008	47	28	.	.	PUNCT
alkej-1008	48	1	additionally	additionally	ADV
alkej-1008	48	2	,	,	PUNCT
alkej-1008	48	3	a	a	DET
alkej-1008	48	4	line	line	NOUN
alkej-1008	48	5	of	of	ADP
alkej-1008	48	6	defense	defense	NOUN
alkej-1008	48	7	heuristic	heuristic	NOUN
alkej-1008	48	8	-	-	PUNCT
alkej-1008	48	9	based	base	VERB
alkej-1008	48	10	methods	method	NOUN
alkej-1008	48	11	have	have	AUX
alkej-1008	48	12	emerged	emerge	VERB
alkej-1008	48	13	to	to	PART
alkej-1008	48	14	analyse	analyse	VERB
alkej-1008	48	15	and	and	CCONJ
alkej-1008	48	16	determine	determine	VERB
alkej-1008	48	17	the	the	DET
alkej-1008	48	18	legitimacy	legitimacy	NOUN
alkej-1008	48	19	of	of	ADP
alkej-1008	48	20	different	different	ADJ
alkej-1008	48	21	website	website	NOUN
alkej-1008	48	22	features	feature	NOUN
alkej-1008	48	23	.	.	PUNCT
alkej-1008	49	1	such	such	ADJ
alkej-1008	49	2	methods	method	NOUN
alkej-1008	49	3	have	have	AUX
alkej-1008	49	4	been	be	AUX
alkej-1008	49	5	categorised	categorise	VERB
alkej-1008	49	6	as	as	ADP
alkej-1008	49	7	content	content	NOUN
alkej-1008	49	8	based	base	VERB
alkej-1008	49	9	,	,	PUNCT
alkej-1008	49	10	where	where	SCONJ
alkej-1008	49	11	the	the	DET
alkej-1008	49	12	content	content	NOUN
alkej-1008	49	13	of	of	ADP
alkej-1008	49	14	a	a	DET
alkej-1008	49	15	website	website	NOUN
alkej-1008	49	16	and	and	CCONJ
alkej-1008	49	17	the	the	DET
alkej-1008	49	18	host	host	NOUN
alkej-1008	49	19	information	information	NOUN
alkej-1008	49	20	or	or	CCONJ
alkej-1008	49	21	url	url	NOUN
alkej-1008	49	22	of	of	ADP
alkej-1008	49	23	non	non	ADJ
alkej-1008	49	24	-	-	ADJ
alkej-1008	49	25	content	content	ADJ
alkej-1008	49	26	based	base	VERB
alkej-1008	49	27	ones	one	NOUN
alkej-1008	49	28	are	be	AUX
alkej-1008	49	29	examined	examine	VERB
alkej-1008	49	30	[	[	PUNCT
alkej-1008	49	31	11	11	NUM
alkej-1008	49	32	-	-	SYM
alkej-1008	49	33	14	14	NUM
alkej-1008	49	34	]	]	PUNCT
alkej-1008	49	35	.	.	PUNCT
alkej-1008	50	1	some	some	DET
alkej-1008	50	2	notable	notable	ADJ
alkej-1008	50	3	techniques	technique	NOUN
alkej-1008	50	4	included	include	VERB
alkej-1008	50	5	phish	phish	NOUN
alkej-1008	50	6	net	net	NOUN
alkej-1008	50	7	[	[	X
alkej-1008	50	8	15	15	NUM
alkej-1008	50	9	]	]	PUNCT
alkej-1008	50	10	in	in	ADP
alkej-1008	50	11	which	which	PRON
alkej-1008	50	12	websites	website	NOUN
alkej-1008	50	13	are	be	AUX
alkej-1008	50	14	classified	classify	VERB
alkej-1008	50	15	using	use	VERB
alkej-1008	50	16	url	url	NOUN
alkej-1008	50	17	heuristics	heuristic	NOUN
alkej-1008	50	18	and	and	CCONJ
alkej-1008	50	19	fsm	fsm	PROPN
alkej-1008	51	1	[	[	X
alkej-1008	51	2	7	7	X
alkej-1008	51	3	]	]	PUNCT
alkej-1008	51	4	that	that	SCONJ
alkej-1008	51	5	monitors	monitor	VERB
alkej-1008	51	6	web	web	NOUN
alkej-1008	51	7	form	form	NOUN
alkej-1008	51	8	usage	usage	NOUN
alkej-1008	51	9	.	.	PUNCT
alkej-1008	52	1	although	although	SCONJ
alkej-1008	52	2	these	these	DET
alkej-1008	52	3	heuristics	heuristic	NOUN
alkej-1008	52	4	were	be	AUX
alkej-1008	52	5	less	less	ADV
alkej-1008	52	6	prone	prone	ADJ
alkej-1008	52	7	to	to	ADP
alkej-1008	52	8	false	false	ADJ
alkej-1008	52	9	positives	positive	NOUN
alkej-1008	52	10	than	than	ADP
alkej-1008	52	11	list	list	NOUN
alkej-1008	52	12	-	-	PUNCT
alkej-1008	52	13	based	base	VERB
alkej-1008	52	14	approaches	approach	NOUN
alkej-1008	52	15	,	,	PUNCT
alkej-1008	52	16	they	they	PRON
alkej-1008	52	17	often	often	ADV
alkej-1008	52	18	remained	remain	VERB
alkej-1008	52	19	inaccurate	inaccurate	ADJ
alkej-1008	52	20	and	and	CCONJ
alkej-1008	52	21	could	could	AUX
alkej-1008	52	22	be	be	AUX
alkej-1008	52	23	challenged	challenge	VERB
alkej-1008	52	24	by	by	ADP
alkej-1008	52	25	attackers	attacker	NOUN
alkej-1008	52	26	who	who	PRON
alkej-1008	52	27	know	know	VERB
alkej-1008	52	28	the	the	DET
alkej-1008	52	29	system	system	NOUN
alkej-1008	52	30	.	.	PUNCT
alkej-1008	53	1	the	the	DET
alkej-1008	53	2	advent	advent	NOUN
alkej-1008	53	3	of	of	ADP
alkej-1008	53	4	machine	machine	NOUN
alkej-1008	53	5	learning	learning	NOUN
alkej-1008	53	6	(	(	PUNCT
alkej-1008	53	7	ml	ml	NOUN
alkej-1008	53	8	)	)	PUNCT
alkej-1008	53	9	significantly	significantly	ADV
alkej-1008	53	10	transformed	transform	VERB
alkej-1008	53	11	phishing	phishe	VERB
alkej-1008	53	12	detection	detection	NOUN
alkej-1008	53	13	[	[	X
alkej-1008	53	14	16	16	NUM
alkej-1008	53	15	,	,	PUNCT
alkej-1008	53	16	17	17	NUM
alkej-1008	53	17	]	]	PUNCT
alkej-1008	53	18	.	.	PUNCT
alkej-1008	54	1	ml	ml	PROPN
alkej-1008	54	2	algorithms	algorithm	NOUN
alkej-1008	54	3	trained	train	VERB
alkej-1008	54	4	on	on	ADP
alkej-1008	54	5	datasets	dataset	NOUN
alkej-1008	54	6	that	that	PRON
alkej-1008	54	7	analyse	analyse	VERB
alkej-1008	54	8	web	web	NOUN
alkej-1008	54	9	addresses	address	NOUN
alkej-1008	54	10	,	,	PUNCT
alkej-1008	54	11	site	site	NOUN
alkej-1008	54	12	structures	structure	NOUN
alkej-1008	54	13	and	and	CCONJ
alkej-1008	54	14	code	code	NOUN
alkej-1008	54	15	can	can	AUX
alkej-1008	54	16	automatically	automatically	ADV
alkej-1008	54	17	detect	detect	VERB
alkej-1008	54	18	phishing	phishe	VERB
alkej-1008	54	19	sites	site	NOUN
alkej-1008	54	20	[	[	X
alkej-1008	54	21	18	18	NUM
alkej-1008	54	22	]	]	PUNCT
alkej-1008	54	23	.	.	PUNCT
alkej-1008	55	1	early	early	ADJ
alkej-1008	55	2	ml	ml	NOUN
alkej-1008	55	3	models	model	NOUN
alkej-1008	55	4	,	,	PUNCT
alkej-1008	55	5	such	such	ADJ
alkej-1008	55	6	as	as	ADP
alkej-1008	55	7	artificial	artificial	ADJ
alkej-1008	55	8	neural	neural	ADJ
alkej-1008	55	9	networks	network	NOUN
alkej-1008	55	10	(	(	PUNCT
alkej-1008	55	11	ann	ann	PROPN
alkej-1008	55	12	)	)	PUNCT
alkej-1008	55	13	,	,	PUNCT
alkej-1008	55	14	achieved	achieve	VERB
alkej-1008	55	15	an	an	DET
alkej-1008	55	16	accuracy	accuracy	NOUN
alkej-1008	55	17	rate	rate	NOUN
alkej-1008	55	18	of	of	ADP
alkej-1008	55	19	83.38	83.38	NUM
alkej-1008	55	20	%	%	NOUN
alkej-1008	55	21	[	[	X
alkej-1008	55	22	19	19	NUM
alkej-1008	55	23	]	]	PUNCT
alkej-1008	55	24	.	.	PUNCT
alkej-1008	56	1	as	as	SCONJ
alkej-1008	56	2	researchers	researcher	NOUN
alkej-1008	56	3	developed	develop	VERB
alkej-1008	56	4	methods	method	NOUN
alkej-1008	56	5	to	to	PART
alkej-1008	56	6	handle	handle	VERB
alkej-1008	56	7	larger	large	ADJ
alkej-1008	56	8	and	and	CCONJ
alkej-1008	56	9	more	more	ADV
alkej-1008	56	10	complex	complex	ADJ
alkej-1008	56	11	datasets	dataset	NOUN
alkej-1008	56	12	,	,	PUNCT
alkej-1008	56	13	ml	ml	PROPN
alkej-1008	56	14	model	model	NOUN
alkej-1008	56	15	accuracy	accuracy	NOUN
alkej-1008	56	16	surged	surge	VERB
alkej-1008	56	17	beyond	beyond	ADP
alkej-1008	56	18	99	99	NUM
alkej-1008	56	19	%	%	NOUN
alkej-1008	56	20	[	[	X
alkej-1008	56	21	20	20	NUM
alkej-1008	56	22	]	]	PUNCT
alkej-1008	56	23	.	.	PUNCT
alkej-1008	57	1	deep	deep	ADJ
alkej-1008	57	2	learning	learning	NOUN
alkej-1008	57	3	(	(	PUNCT
alkej-1008	57	4	dl	dl	NOUN
alkej-1008	57	5	)	)	PUNCT
alkej-1008	57	6	techniques	technique	NOUN
alkej-1008	57	7	further	far	ADV
alkej-1008	57	8	advanced	advance	VERB
alkej-1008	57	9	this	this	DET
alkej-1008	57	10	field	field	NOUN
alkej-1008	57	11	;	;	PUNCT
alkej-1008	57	12	for	for	ADP
alkej-1008	57	13	instance	instance	NOUN
alkej-1008	57	14	,	,	PUNCT
alkej-1008	57	15	a	a	DET
alkej-1008	57	16	model	model	NOUN
alkej-1008	57	17	employing	employ	VERB
alkej-1008	57	18	deep	deep	ADJ
alkej-1008	57	19	neural	neural	ADJ
alkej-1008	57	20	networks	network	NOUN
alkej-1008	57	21	(	(	PUNCT
alkej-1008	57	22	dnn	dnn	PROPN
alkej-1008	57	23	)	)	PUNCT
alkej-1008	57	24	and	and	CCONJ
alkej-1008	57	25	support	support	VERB
alkej-1008	57	26	vector	vector	NOUN
alkej-1008	57	27	machines	machine	NOUN
alkej-1008	57	28	(	(	PUNCT
alkej-1008	57	29	svm	svm	PROPN
alkej-1008	57	30	)	)	PUNCT
alkej-1008	57	31	achieved	achieve	VERB
alkej-1008	57	32	96	96	NUM
alkej-1008	57	33	%	%	NOUN
alkej-1008	57	34	accuracy	accuracy	NOUN
alkej-1008	57	35	by	by	ADP
alkej-1008	57	36	training	training	NOUN
alkej-1008	57	37	on	on	ADP
alkej-1008	57	38	a	a	DET
alkej-1008	57	39	dataset	dataset	NOUN
alkej-1008	57	40	with	with	ADP
alkej-1008	57	41	28	28	NUM
alkej-1008	57	42	features	feature	NOUN
alkej-1008	57	43	[	[	X
alkej-1008	57	44	21	21	NUM
alkej-1008	57	45	]	]	PUNCT
alkej-1008	57	46	.	.	PUNCT
alkej-1008	58	1	another	another	DET
alkej-1008	58	2	innovative	innovative	ADJ
alkej-1008	58	3	approach	approach	NOUN
alkej-1008	58	4	combined	combine	VERB
alkej-1008	58	5	convolutional	convolutional	ADJ
alkej-1008	58	6	neural	neural	ADJ
alkej-1008	58	7	networks	network	NOUN
alkej-1008	58	8	(	(	PUNCT
alkej-1008	58	9	cnn	cnn	PROPN
alkej-1008	58	10	)	)	PUNCT
alkej-1008	58	11	and	and	CCONJ
alkej-1008	58	12	long	long	ADJ
alkej-1008	58	13	short	short	ADJ
alkej-1008	58	14	-	-	PUNCT
alkej-1008	58	15	term	term	NOUN
alkej-1008	58	16	memory	memory	NOUN
alkej-1008	58	17	(	(	PUNCT
alkej-1008	58	18	lstm	lstm	NOUN
alkej-1008	58	19	)	)	PUNCT
alkej-1008	58	20	networks	network	NOUN
alkej-1008	58	21	for	for	ADP
alkej-1008	58	22	rapid	rapid	ADJ
alkej-1008	58	23	ali	ali	PROPN
alkej-1008	58	24	raheem	raheem	PROPN
alkej-1008	58	25	al	al	PROPN
alkej-1008	58	26	-	-	PROPN
alkej-1008	58	27	hafiz	hafiz	PROPN
alkej-1008	58	28	al	al	PROPN
alkej-1008	58	29	-	-	PUNCT
alkej-1008	58	30	khwarizmi	khwarizmi	PROPN
alkej-1008	58	31	engineering	engineering	NOUN
alkej-1008	58	32	journal	journal	PROPN
alkej-1008	58	33	,	,	PUNCT
alkej-1008	58	34	vol	vol	NOUN
alkej-1008	58	35	.	.	PROPN
alkej-1008	58	36	21	21	NUM
alkej-1008	58	37	,	,	PUNCT
alkej-1008	58	38	no.2	no.2	PROPN
alkej-1008	58	39	,	,	PUNCT
alkej-1008	58	40	pp	pp	ADJ
alkej-1008	58	41	.	.	PUNCT
alkej-1008	59	1	117	117	NUM
alkej-1008	59	2	-	-	SYM
alkej-1008	59	3	135	135	NUM
alkej-1008	59	4	(	(	PUNCT
alkej-1008	59	5	2025	2025	NUM
alkej-1008	59	6	)	)	PUNCT
alkej-1008	59	7	119	119	NUM
alkej-1008	59	8	url	url	NOUN
alkej-1008	59	9	-	-	PUNCT
alkej-1008	59	10	based	base	VERB
alkej-1008	59	11	detection	detection	NOUN
alkej-1008	59	12	,	,	PUNCT
alkej-1008	59	13	reaching	reach	VERB
alkej-1008	59	14	an	an	DET
alkej-1008	59	15	accuracy	accuracy	NOUN
alkej-1008	59	16	of	of	ADP
alkej-1008	59	17	97	97	NUM
alkej-1008	59	18	%	%	NOUN
alkej-1008	59	19	[	[	X
alkej-1008	59	20	22	22	NUM
alkej-1008	59	21	]	]	PUNCT
alkej-1008	59	22	.	.	PUNCT
alkej-1008	60	1	nonetheless	nonetheless	ADV
alkej-1008	60	2	,	,	PUNCT
alkej-1008	60	3	hybrid	hybrid	ADJ
alkej-1008	60	4	techniques	technique	NOUN
alkej-1008	60	5	,	,	PUNCT
alkej-1008	60	6	which	which	PRON
alkej-1008	60	7	combine	combine	VERB
alkej-1008	60	8	machine	machine	NOUN
alkej-1008	60	9	learning	learn	VERB
alkej-1008	60	10	with	with	ADP
alkej-1008	60	11	deep	deep	ADJ
alkej-1008	60	12	learning	learning	NOUN
alkej-1008	60	13	,	,	PUNCT
alkej-1008	60	14	have	have	AUX
alkej-1008	60	15	proven	prove	VERB
alkej-1008	60	16	to	to	PART
alkej-1008	60	17	be	be	AUX
alkej-1008	60	18	very	very	ADV
alkej-1008	60	19	successful	successful	ADJ
alkej-1008	60	20	.	.	PUNCT
alkej-1008	61	1	to	to	PART
alkej-1008	61	2	illustrate	illustrate	VERB
alkej-1008	61	3	,	,	PUNCT
alkej-1008	61	4	the	the	DET
alkej-1008	61	5	accuracies	accuracy	NOUN
alkej-1008	61	6	of	of	ADP
alkej-1008	61	7	up	up	ADP
alkej-1008	61	8	to	to	PART
alkej-1008	61	9	97.98	97.98	NUM
alkej-1008	61	10	%	%	NOUN
alkej-1008	61	11	were	be	AUX
alkej-1008	61	12	achieved	achieve	VERB
alkej-1008	61	13	with	with	ADP
alkej-1008	61	14	random	random	ADJ
alkej-1008	61	15	forest	forest	NOUN
alkej-1008	61	16	(	(	PUNCT
alkej-1008	61	17	rf	rf	NOUN
alkej-1008	61	18	)	)	PUNCT
alkej-1008	61	19	and	and	CCONJ
alkej-1008	61	20	natural	natural	ADJ
alkej-1008	61	21	language	language	NOUN
alkej-1008	61	22	processing	processing	NOUN
alkej-1008	61	23	(	(	PUNCT
alkej-1008	61	24	nlp	nlp	NOUN
alkej-1008	61	25	)	)	PUNCT
alkej-1008	61	26	with	with	ADP
alkej-1008	61	27	feature	feature	NOUN
alkej-1008	61	28	selection	selection	NOUN
alkej-1008	61	29	;	;	PUNCT
alkej-1008	61	30	in	in	ADP
alkej-1008	61	31	addition	addition	NOUN
alkej-1008	61	32	,	,	PUNCT
alkej-1008	61	33	combinations	combination	NOUN
alkej-1008	61	34	of	of	ADP
alkej-1008	61	35	methods	method	NOUN
alkej-1008	61	36	incorporating	incorporate	VERB
alkej-1008	61	37	rf	rf	VERB
alkej-1008	61	38	with	with	ADP
alkej-1008	61	39	neural	neural	ADJ
alkej-1008	61	40	networks	network	NOUN
alkej-1008	61	41	(	(	PUNCT
alkej-1008	61	42	nn	nn	NOUN
alkej-1008	61	43	)	)	PUNCT
alkej-1008	61	44	and	and	CCONJ
alkej-1008	61	45	k	k	ADV
alkej-1008	61	46	-	-	PUNCT
alkej-1008	61	47	nearest	near	ADJ
alkej-1008	61	48	neighbors	neighbor	NOUN
alkej-1008	61	49	(	(	PUNCT
alkej-1008	61	50	knn	knn	PROPN
alkej-1008	61	51	)	)	PUNCT
alkej-1008	61	52	showed	show	VERB
alkej-1008	61	53	an	an	DET
alkej-1008	61	54	accuracy	accuracy	NOUN
alkej-1008	61	55	between	between	ADP
alkej-1008	61	56	97.2	97.2	NUM
alkej-1008	61	57	%	%	NOUN
alkej-1008	61	58	and	and	CCONJ
alkej-1008	61	59	97.4	97.4	NUM
alkej-1008	61	60	%	%	NOUN
alkej-1008	61	61	,	,	PUNCT
alkej-1008	61	62	respectively	respectively	ADV
alkej-1008	61	63	[	[	X
alkej-1008	61	64	23	23	NUM
alkej-1008	61	65	]	]	PUNCT
alkej-1008	61	66	.	.	PUNCT
alkej-1008	62	1	furthermore	furthermore	ADV
alkej-1008	62	2	,	,	PUNCT
alkej-1008	62	3	high	high	ADJ
alkej-1008	62	4	accuracies	accuracy	NOUN
alkej-1008	62	5	produced	produce	VERB
alkej-1008	62	6	by	by	ADP
alkej-1008	62	7	ann	ann	PROPN
alkej-1008	62	8	and	and	CCONJ
alkej-1008	62	9	rf	rf	PROPN
alkej-1008	62	10	coupled	couple	VERB
alkej-1008	62	11	approaches	approach	NOUN
alkej-1008	62	12	were	be	AUX
alkej-1008	62	13	comparable	comparable	ADJ
alkej-1008	62	14	,	,	PUNCT
alkej-1008	62	15	with	with	ADP
alkej-1008	62	16	accuracies	accuracy	NOUN
alkej-1008	62	17	of	of	ADP
alkej-1008	62	18	96.36%–97.33	96.36%–97.33	NUM
alkej-1008	62	19	%	%	NOUN
alkej-1008	62	20	.	.	PUNCT
alkej-1008	63	1	in	in	ADP
alkej-1008	63	2	some	some	DET
alkej-1008	63	3	advanced	advanced	ADJ
alkej-1008	63	4	models	model	NOUN
alkej-1008	63	5	which	which	PRON
alkej-1008	63	6	included	include	VERB
alkej-1008	63	7	classifiers	classifier	NOUN
alkej-1008	63	8	such	such	ADJ
alkej-1008	63	9	as	as	ADP
alkej-1008	63	10	rf	rf	NOUN
alkej-1008	63	11	,	,	PUNCT
alkej-1008	63	12	svm	svm	ADJ
alkej-1008	63	13	,	,	PUNCT
alkej-1008	63	14	generalized	generalized	ADJ
alkej-1008	63	15	linear	linear	NOUN
alkej-1008	63	16	models	model	NOUN
alkej-1008	63	17	(	(	PUNCT
alkej-1008	63	18	glm	glm	PROPN
alkej-1008	63	19	)	)	PUNCT
alkej-1008	63	20	and	and	CCONJ
alkej-1008	63	21	generalized	generalized	ADJ
alkej-1008	63	22	additive	additive	ADJ
alkej-1008	63	23	models	model	NOUN
alkej-1008	63	24	(	(	PUNCT
alkej-1008	63	25	gam	gam	NOUN
alkej-1008	63	26	)	)	PUNCT
alkej-1008	63	27	,	,	PUNCT
alkej-1008	63	28	accuracy	accuracy	NOUN
alkej-1008	63	29	of	of	ADP
alkej-1008	63	30	98.34	98.34	NUM
alkej-1008	63	31	%	%	NOUN
alkej-1008	63	32	was	be	AUX
alkej-1008	63	33	achieved	achieve	VERB
alkej-1008	63	34	for	for	ADP
alkej-1008	63	35	a	a	DET
alkej-1008	63	36	single	single	ADJ
alkej-1008	63	37	case	case	NOUN
alkej-1008	63	38	.	.	PUNCT
alkej-1008	64	1	these	these	DET
alkej-1008	64	2	hybrid	hybrid	ADJ
alkej-1008	64	3	methods	method	NOUN
alkej-1008	64	4	exemplify	exemplify	VERB
alkej-1008	64	5	the	the	DET
alkej-1008	64	6	growing	grow	VERB
alkej-1008	64	7	effectiveness	effectiveness	NOUN
alkej-1008	64	8	of	of	ADP
alkej-1008	64	9	machine	machine	NOUN
alkej-1008	64	10	learning	learning	NOUN
alkej-1008	64	11	and	and	CCONJ
alkej-1008	64	12	deep	deep	ADJ
alkej-1008	64	13	learning	learning	NOUN
alkej-1008	64	14	in	in	ADP
alkej-1008	64	15	accurately	accurately	ADV
alkej-1008	64	16	detecting	detect	VERB
alkej-1008	64	17	phishing	phishe	VERB
alkej-1008	64	18	attacks	attack	NOUN
alkej-1008	64	19	.	.	PUNCT
alkej-1008	65	1	the	the	DET
alkej-1008	65	2	machine	machine	NOUN
alkej-1008	65	3	learning	learning	NOUN
alkej-1008	65	4	models	model	NOUN
alkej-1008	65	5	used	use	VERB
alkej-1008	65	6	for	for	ADP
alkej-1008	65	7	phishing	phishe	VERB
alkej-1008	65	8	detection	detection	NOUN
alkej-1008	65	9	have	have	AUX
alkej-1008	65	10	received	receive	VERB
alkej-1008	65	11	a	a	DET
alkej-1008	65	12	recent	recent	ADJ
alkej-1008	65	13	research	research	NOUN
alkej-1008	65	14	deal	deal	NOUN
alkej-1008	65	15	to	to	PART
alkej-1008	65	16	apply	apply	VERB
alkej-1008	65	17	genetic	genetic	ADJ
alkej-1008	65	18	algorithms	algorithm	NOUN
alkej-1008	65	19	(	(	PUNCT
alkej-1008	65	20	gas	gas	NOUN
alkej-1008	65	21	)	)	PUNCT
alkej-1008	65	22	for	for	ADP
alkej-1008	65	23	feature	feature	NOUN
alkej-1008	65	24	selection	selection	NOUN
alkej-1008	65	25	and	and	CCONJ
alkej-1008	65	26	hyper	hyper	ADJ
alkej-1008	65	27	parameter	parameter	NOUN
alkej-1008	65	28	optimisation	optimisation	NOUN
alkej-1008	65	29	.	.	PUNCT
alkej-1008	66	1	gabased	gabase	VERB
alkej-1008	66	2	feature	feature	NOUN
alkej-1008	66	3	selection	selection	NOUN
alkej-1008	66	4	in	in	ADP
alkej-1008	66	5	one	one	NUM
alkej-1008	66	6	study	study	NOUN
alkej-1008	66	7	resulted	result	VERB
alkej-1008	66	8	in	in	ADP
alkej-1008	66	9	a	a	DET
alkej-1008	66	10	more	more	ADV
alkej-1008	66	11	accurate	accurate	ADJ
alkej-1008	66	12	model	model	NOUN
alkej-1008	66	13	(	(	PUNCT
alkej-1008	66	14	95.34	95.34	NUM
alkej-1008	66	15	%	%	NOUN
alkej-1008	66	16	on	on	ADP
alkej-1008	66	17	test	test	NOUN
alkej-1008	66	18	set	set	NOUN
alkej-1008	66	19	)	)	PUNCT
alkej-1008	66	20	.	.	PUNCT
alkej-1008	67	1	this	this	DET
alkej-1008	67	2	research	research	NOUN
alkej-1008	67	3	demonstrates	demonstrate	VERB
alkej-1008	67	4	the	the	DET
alkej-1008	67	5	effectiveness	effectiveness	NOUN
alkej-1008	67	6	of	of	ADP
alkej-1008	67	7	gas	gas	NOUN
alkej-1008	67	8	as	as	ADP
alkej-1008	67	9	a	a	DET
alkej-1008	67	10	highly	highly	ADV
alkej-1008	67	11	efficient	efficient	ADJ
alkej-1008	67	12	method	method	NOUN
alkej-1008	67	13	for	for	ADP
alkej-1008	67	14	selecting	select	VERB
alkej-1008	67	15	features	feature	NOUN
alkej-1008	67	16	and	and	CCONJ
alkej-1008	67	17	model	model	NOUN
alkej-1008	67	18	performance	performance	NOUN
alkej-1008	67	19	in	in	ADP
alkej-1008	67	20	ways	way	NOUN
alkej-1008	67	21	that	that	PRON
alkej-1008	67	22	are	be	AUX
alkej-1008	67	23	simultaneously	simultaneously	ADV
alkej-1008	67	24	simple	simple	ADJ
alkej-1008	67	25	and	and	CCONJ
alkej-1008	67	26	expressive	expressive	ADJ
alkej-1008	67	27	[	[	X
alkej-1008	67	28	24	24	NUM
alkej-1008	67	29	]	]	PUNCT
alkej-1008	67	30	.	.	PUNCT
alkej-1008	68	1	more	more	ADV
alkej-1008	68	2	recently	recently	ADV
alkej-1008	68	3	,	,	PUNCT
alkej-1008	68	4	emerging	emerge	VERB
alkej-1008	68	5	phishing	phishe	VERB
alkej-1008	68	6	detection	detection	NOUN
alkej-1008	68	7	models	model	NOUN
alkej-1008	68	8	[	[	X
alkej-1008	68	9	25	25	NUM
alkej-1008	68	10	]	]	PUNCT
alkej-1008	68	11	have	have	AUX
alkej-1008	68	12	also	also	ADV
alkej-1008	68	13	enhanced	enhance	VERB
alkej-1008	68	14	accuracy	accuracy	NOUN
alkej-1008	68	15	with	with	ADP
alkej-1008	68	16	the	the	DET
alkej-1008	68	17	combined	combine	VERB
alkej-1008	68	18	use	use	NOUN
alkej-1008	68	19	of	of	ADP
alkej-1008	68	20	feature	feature	NOUN
alkej-1008	68	21	selection	selection	NOUN
alkej-1008	68	22	,	,	PUNCT
alkej-1008	68	23	clustering	clustering	NOUN
alkej-1008	68	24	and	and	CCONJ
alkej-1008	68	25	classification	classification	NOUN
alkej-1008	68	26	techniques	technique	NOUN
alkej-1008	68	27	.	.	PUNCT
alkej-1008	69	1	another	another	DET
alkej-1008	69	2	approach	approach	NOUN
alkej-1008	69	3	combines	combine	VERB
alkej-1008	69	4	the	the	DET
alkej-1008	69	5	components	component	NOUN
alkej-1008	69	6	of	of	ADP
alkej-1008	69	7	rough	rough	ADJ
alkej-1008	69	8	set	set	NOUN
alkej-1008	69	9	(	(	PUNCT
alkej-1008	69	10	rs	rs	NOUN
alkej-1008	69	11	)	)	PUNCT
alkej-1008	69	12	,	,	PUNCT
alkej-1008	69	13	stabilitycorrelation	stabilitycorrelation	NOUN
alkej-1008	69	14	(	(	PUNCT
alkej-1008	69	15	sc	sc	PROPN
alkej-1008	69	16	)	)	PUNCT
alkej-1008	69	17	and	and	CCONJ
alkej-1008	69	18	principal	principal	ADJ
alkej-1008	69	19	component	component	NOUN
alkej-1008	69	20	analysis	analysis	NOUN
alkej-1008	69	21	(	(	PUNCT
alkej-1008	69	22	pca	pca	NOUN
alkej-1008	69	23	)	)	PUNCT
alkej-1008	69	24	for	for	ADP
alkej-1008	69	25	feature	feature	NOUN
alkej-1008	69	26	selection	selection	NOUN
alkej-1008	69	27	;	;	PUNCT
alkej-1008	69	28	then	then	ADV
alkej-1008	69	29	,	,	PUNCT
alkej-1008	69	30	it	it	PRON
alkej-1008	69	31	fits	fit	VERB
alkej-1008	69	32	the	the	DET
alkej-1008	69	33	data	datum	NOUN
alkej-1008	69	34	to	to	ADP
alkej-1008	69	35	phishing	phishe	VERB
alkej-1008	69	36	and	and	CCONJ
alkej-1008	69	37	non	non	ADJ
alkej-1008	69	38	-	-	ADJ
alkej-1008	69	39	phishing	phishing	ADJ
alkej-1008	69	40	categories	category	NOUN
alkej-1008	69	41	through	through	ADP
alkej-1008	69	42	k	k	ADJ
alkej-1008	69	43	-	-	PUNCT
alkej-1008	69	44	means	means	NOUN
alkej-1008	69	45	clustering	clustering	NOUN
alkej-1008	69	46	.	.	PUNCT
alkej-1008	70	1	the	the	DET
alkej-1008	70	2	model	model	NOUN
alkej-1008	70	3	employed	employ	VERB
alkej-1008	70	4	deep	deep	ADJ
alkej-1008	70	5	learning	learning	NOUN
alkej-1008	70	6	(	(	PUNCT
alkej-1008	70	7	dl	dl	NOUN
alkej-1008	70	8	)	)	PUNCT
alkej-1008	70	9	and	and	CCONJ
alkej-1008	70	10	decision	decision	NOUN
alkej-1008	70	11	tree	tree	NOUN
alkej-1008	70	12	(	(	PUNCT
alkej-1008	70	13	dt	dt	NOUN
alkej-1008	70	14	)	)	PUNCT
alkej-1008	70	15	algorithms	algorithm	NOUN
alkej-1008	70	16	for	for	ADP
alkej-1008	70	17	classification	classification	NOUN
alkej-1008	70	18	,	,	PUNCT
alkej-1008	70	19	yielding	yield	VERB
alkej-1008	70	20	the	the	DET
alkej-1008	70	21	following	follow	VERB
alkej-1008	70	22	impressive	impressive	ADJ
alkej-1008	70	23	results	result	NOUN
alkej-1008	70	24	:	:	PUNCT
alkej-1008	70	25	the	the	DET
alkej-1008	70	26	accuracy	accuracy	NOUN
alkej-1008	70	27	for	for	ADP
alkej-1008	70	28	the	the	DET
alkej-1008	70	29	decision	decision	NOUN
alkej-1008	70	30	tree	tree	NOUN
alkej-1008	70	31	model	model	NOUN
alkej-1008	70	32	was	be	AUX
alkej-1008	70	33	97.2	97.2	NUM
alkej-1008	70	34	%	%	NOUN
alkej-1008	70	35	,	,	PUNCT
alkej-1008	70	36	whilst	whilst	SCONJ
alkej-1008	70	37	the	the	DET
alkej-1008	70	38	deep	deep	ADJ
alkej-1008	70	39	learning	learning	NOUN
alkej-1008	70	40	model	model	NOUN
alkej-1008	70	41	reached	reach	VERB
alkej-1008	70	42	96.88	96.88	NUM
alkej-1008	70	43	%	%	NOUN
alkej-1008	70	44	.	.	PUNCT
alkej-1008	71	1	the	the	DET
alkej-1008	71	2	outcomes	outcome	NOUN
alkej-1008	71	3	presented	present	VERB
alkej-1008	71	4	here	here	ADV
alkej-1008	71	5	demonstrate	demonstrate	VERB
alkej-1008	71	6	the	the	DET
alkej-1008	71	7	effectiveness	effectiveness	NOUN
alkej-1008	71	8	of	of	ADP
alkej-1008	71	9	hybrid	hybrid	ADJ
alkej-1008	71	10	methodologies	methodology	NOUN
alkej-1008	71	11	in	in	ADP
alkej-1008	71	12	improving	improve	VERB
alkej-1008	71	13	phishing	phishe	VERB
alkej-1008	71	14	detection	detection	NOUN
alkej-1008	71	15	over	over	ADP
alkej-1008	71	16	traditional	traditional	ADJ
alkej-1008	71	17	techniques	technique	NOUN
alkej-1008	71	18	.	.	PUNCT
alkej-1008	72	1	however	however	ADV
alkej-1008	72	2	,	,	PUNCT
alkej-1008	72	3	other	other	ADJ
alkej-1008	72	4	studies	study	NOUN
alkej-1008	72	5	have	have	AUX
alkej-1008	72	6	focused	focus	VERB
alkej-1008	72	7	on	on	ADP
alkej-1008	72	8	utilising	utilise	VERB
alkej-1008	72	9	unsupervised	unsupervised	ADJ
alkej-1008	72	10	learning	learning	NOUN
alkej-1008	72	11	for	for	ADP
alkej-1008	72	12	detecting	detect	VERB
alkej-1008	72	13	phishing	phishe	VERB
alkej-1008	72	14	websites	website	NOUN
alkej-1008	72	15	;	;	PUNCT
alkej-1008	72	16	k	k	X
alkej-1008	72	17	-	-	PUNCT
alkej-1008	72	18	means	means	NOUN
alkej-1008	72	19	is	be	AUX
alkej-1008	72	20	a	a	DET
alkej-1008	72	21	widely	widely	ADV
alkej-1008	72	22	used	use	VERB
alkej-1008	72	23	unsupervised	unsupervised	ADJ
alkej-1008	72	24	machine	machine	NOUN
alkej-1008	72	25	learning	learn	VERB
alkej-1008	72	26	algorithm	algorithm	NOUN
alkej-1008	72	27	that	that	PRON
alkej-1008	72	28	should	should	AUX
alkej-1008	72	29	be	be	AUX
alkej-1008	72	30	used	use	VERB
alkej-1008	72	31	to	to	PART
alkej-1008	72	32	detect	detect	VERB
alkej-1008	72	33	the	the	DET
alkej-1008	72	34	webpage	webpage	NOUN
alkej-1008	72	35	of	of	ADP
alkej-1008	72	36	phishing	phishe	VERB
alkej-1008	72	37	sites	site	NOUN
alkej-1008	72	38	[	[	X
alkej-1008	72	39	26	26	NUM
alkej-1008	72	40	]	]	PUNCT
alkej-1008	72	41	.	.	PUNCT
alkej-1008	73	1	the	the	DET
alkej-1008	73	2	algorithm	algorithm	NOUN
alkej-1008	73	3	clusters	cluster	VERB
alkej-1008	73	4	the	the	DET
alkej-1008	73	5	websites	website	NOUN
alkej-1008	73	6	into	into	ADP
alkej-1008	73	7	the	the	DET
alkej-1008	73	8	following	follow	VERB
alkej-1008	73	9	two	two	NUM
alkej-1008	73	10	groups	group	NOUN
alkej-1008	73	11	:	:	PUNCT
alkej-1008	73	12	set	set	VERB
alkej-1008	73	13	up	up	ADP
alkej-1008	73	14	to	to	PART
alkej-1008	73	15	distinguish	distinguish	VERB
alkej-1008	73	16	between	between	ADP
alkej-1008	73	17	the	the	DET
alkej-1008	73	18	legitimate	legitimate	ADJ
alkej-1008	73	19	sri	sri	ADJ
alkej-1008	73	20	websites	website	NOUN
alkej-1008	73	21	and	and	CCONJ
alkej-1008	73	22	phishing	phishe	VERB
alkej-1008	73	23	websites	website	NOUN
alkej-1008	73	24	based	base	VERB
alkej-1008	73	25	on	on	ADP
alkej-1008	73	26	‘	'	PUNCT
alkej-1008	73	27	features	feature	NOUN
alkej-1008	73	28	’	'	PUNCT
alkej-1008	73	29	extracted	extract	VERB
alkej-1008	73	30	from	from	ADP
alkej-1008	73	31	the	the	DET
alkej-1008	73	32	urls	url	NOUN
alkej-1008	73	33	of	of	ADP
alkej-1008	73	34	the	the	DET
alkej-1008	73	35	websites	website	NOUN
alkej-1008	73	36	[	[	X
alkej-1008	73	37	27	27	NUM
alkej-1008	73	38	]	]	PUNCT
alkej-1008	73	39	.	.	PUNCT
alkej-1008	74	1	some	some	DET
alkej-1008	74	2	features	feature	NOUN
alkej-1008	74	3	include	include	VERB
alkej-1008	74	4	url	url	NOUN
alkej-1008	74	5	length	length	NOUN
alkej-1008	74	6	,	,	PUNCT
alkej-1008	74	7	domain	domain	NOUN
alkej-1008	74	8	age	age	NOUN
alkej-1008	74	9	and	and	CCONJ
alkej-1008	74	10	ip	ip	NOUN
alkej-1008	74	11	addresses	address	NOUN
alkej-1008	74	12	in	in	ADP
alkej-1008	74	13	url	url	NOUN
alkej-1008	74	14	where	where	SCONJ
alkej-1008	74	15	k	k	NOUN
alkej-1008	74	16	-	-	PUNCT
alkej-1008	74	17	means	means	PROPN
alkej-1008	74	18	is	be	AUX
alkej-1008	74	19	suggested	suggest	VERB
alkej-1008	74	20	to	to	PART
alkej-1008	74	21	be	be	AUX
alkej-1008	74	22	implemented	implement	VERB
alkej-1008	74	23	by	by	ADP
alkej-1008	74	24	researchers	researcher	NOUN
alkej-1008	74	25	for	for	ADP
alkej-1008	74	26	identifying	identify	VERB
alkej-1008	74	27	phishing	phishe	VERB
alkej-1008	74	28	sites	site	NOUN
alkej-1008	74	29	.	.	PUNCT
alkej-1008	75	1	the	the	DET
alkej-1008	75	2	algorithm	algorithm	NOUN
alkej-1008	75	3	can	can	AUX
alkej-1008	75	4	successfully	successfully	ADV
alkej-1008	75	5	classify	classify	VERB
alkej-1008	75	6	the	the	DET
alkej-1008	75	7	sites	site	NOUN
alkej-1008	75	8	between	between	ADP
alkej-1008	75	9	the	the	DET
alkej-1008	75	10	phishing	phishing	NOUN
alkej-1008	75	11	and	and	CCONJ
alkej-1008	75	12	the	the	DET
alkej-1008	75	13	authentic	authentic	ADJ
alkej-1008	75	14	ones	one	NOUN
alkej-1008	75	15	,	,	PUNCT
alkej-1008	75	16	which	which	PRON
alkej-1008	75	17	will	will	AUX
alkej-1008	75	18	help	help	VERB
alkej-1008	75	19	in	in	ADP
alkej-1008	75	20	the	the	DET
alkej-1008	75	21	detection	detection	NOUN
alkej-1008	75	22	of	of	ADP
alkej-1008	75	23	the	the	DET
alkej-1008	75	24	threats	threat	NOUN
alkej-1008	75	25	.	.	PUNCT
alkej-1008	76	1	in	in	ADP
alkej-1008	76	2	one	one	NUM
alkej-1008	76	3	research	research	NOUN
alkej-1008	76	4	[	[	X
alkej-1008	76	5	28	28	NUM
alkej-1008	76	6	]	]	PUNCT
alkej-1008	76	7	,	,	PUNCT
alkej-1008	76	8	the	the	DET
alkej-1008	76	9	author	author	NOUN
alkej-1008	76	10	designed	design	VERB
alkej-1008	76	11	a	a	DET
alkej-1008	76	12	model	model	NOUN
alkej-1008	76	13	of	of	ADP
alkej-1008	76	14	a	a	DET
alkej-1008	76	15	k	k	NOUN
alkej-1008	76	16	-	-	PUNCT
alkej-1008	76	17	nearest	near	ADJ
alkej-1008	76	18	neighbors	neighbor	NOUN
alkej-1008	76	19	algorithm	algorithm	NOUN
alkej-1008	76	20	integrated	integrate	VERB
alkej-1008	76	21	with	with	ADP
alkej-1008	76	22	support	support	NOUN
alkej-1008	76	23	vector	vector	NOUN
alkej-1008	76	24	machine	machine	NOUN
alkej-1008	76	25	to	to	PART
alkej-1008	76	26	classify	classify	VERB
alkej-1008	76	27	a	a	DET
alkej-1008	76	28	site	site	NOUN
alkej-1008	76	29	as	as	ADP
alkej-1008	76	30	phishing	phishe	VERB
alkej-1008	76	31	,	,	PUNCT
alkej-1008	76	32	legitimate	legitimate	ADJ
alkej-1008	76	33	or	or	CCONJ
alkej-1008	76	34	suspicious	suspicious	ADJ
alkej-1008	76	35	;	;	PUNCT
alkej-1008	76	36	the	the	DET
alkej-1008	76	37	suggested	suggest	VERB
alkej-1008	76	38	model	model	NOUN
alkej-1008	76	39	maintained	maintain	VERB
alkej-1008	76	40	over	over	ADP
alkej-1008	76	41	98	98	NUM
alkej-1008	76	42	%	%	NOUN
alkej-1008	76	43	accuracy	accuracy	NOUN
alkej-1008	76	44	.	.	PUNCT
alkej-1008	77	1	a	a	DET
alkej-1008	77	2	major	major	ADJ
alkej-1008	77	3	strength	strength	NOUN
alkej-1008	77	4	of	of	ADP
alkej-1008	77	5	the	the	DET
alkej-1008	77	6	k	k	NOUN
alkej-1008	77	7	-	-	PUNCT
alkej-1008	77	8	means	means	NOUN
alkej-1008	77	9	algorithm	algorithm	NOUN
alkej-1008	77	10	in	in	ADP
alkej-1008	77	11	anti	anti	ADJ
alkej-1008	77	12	-	-	ADJ
alkej-1008	77	13	phishing	phishing	ADJ
alkej-1008	77	14	lies	lie	NOUN
alkej-1008	77	15	in	in	ADP
alkej-1008	77	16	its	its	PRON
alkej-1008	77	17	simplicity	simplicity	NOUN
alkej-1008	77	18	,	,	PUNCT
alkej-1008	77	19	scalability	scalability	NOUN
alkej-1008	77	20	and	and	CCONJ
alkej-1008	77	21	effectiveness	effectiveness	NOUN
alkej-1008	77	22	at	at	ADP
alkej-1008	77	23	working	work	VERB
alkej-1008	77	24	with	with	ADP
alkej-1008	77	25	noisy	noisy	ADJ
alkej-1008	77	26	data	datum	NOUN
alkej-1008	77	27	.	.	PUNCT
alkej-1008	78	1	recently	recently	ADV
alkej-1008	78	2	,	,	PUNCT
alkej-1008	78	3	ga	ga	NOUN
alkej-1008	78	4	-	-	PUNCT
alkej-1008	78	5	based	base	VERB
alkej-1008	78	6	feature	feature	NOUN
alkej-1008	78	7	selection	selection	NOUN
alkej-1008	78	8	has	have	AUX
alkej-1008	78	9	been	be	AUX
alkej-1008	78	10	employed	employ	VERB
alkej-1008	78	11	to	to	PART
alkej-1008	78	12	identify	identify	VERB
alkej-1008	78	13	optimal	optimal	ADJ
alkej-1008	78	14	subsets	subset	NOUN
alkej-1008	78	15	of	of	ADP
alkej-1008	78	16	features	feature	NOUN
alkej-1008	78	17	,	,	PUNCT
alkej-1008	78	18	reducing	reduce	VERB
alkej-1008	78	19	the	the	DET
alkej-1008	78	20	dimensionality	dimensionality	NOUN
alkej-1008	78	21	and	and	CCONJ
alkej-1008	78	22	computational	computational	ADJ
alkej-1008	78	23	workload	workload	NOUN
alkej-1008	78	24	of	of	ADP
alkej-1008	78	25	models	model	NOUN
alkej-1008	78	26	[	[	X
alkej-1008	78	27	7	7	NUM
alkej-1008	78	28	]	]	PUNCT
alkej-1008	78	29	.	.	PUNCT
alkej-1008	79	1	with	with	ADP
alkej-1008	79	2	this	this	DET
alkej-1008	79	3	ga	ga	NOUN
alkej-1008	79	4	-	-	PUNCT
alkej-1008	79	5	driven	drive	VERB
alkej-1008	79	6	method	method	NOUN
alkej-1008	79	7	,	,	PUNCT
alkej-1008	79	8	high	high	ADJ
alkej-1008	79	9	accuracy	accuracy	NOUN
alkej-1008	79	10	and	and	CCONJ
alkej-1008	79	11	recall	recall	NOUN
alkej-1008	79	12	levels	level	NOUN
alkej-1008	79	13	were	be	AUX
alkej-1008	79	14	observed	observe	VERB
alkej-1008	79	15	across	across	ADP
alkej-1008	79	16	classifiers	classifier	NOUN
alkej-1008	79	17	,	,	PUNCT
alkej-1008	79	18	such	such	ADJ
alkej-1008	79	19	as	as	ADP
alkej-1008	79	20	random	random	ADJ
alkej-1008	79	21	forest	forest	NOUN
alkej-1008	79	22	(	(	PUNCT
alkej-1008	79	23	92.93	92.93	NUM
alkej-1008	79	24	%	%	NOUN
alkej-1008	79	25	accuracy	accuracy	NOUN
alkej-1008	79	26	and	and	CCONJ
alkej-1008	79	27	89.05	89.05	NUM
alkej-1008	79	28	%	%	NOUN
alkej-1008	79	29	recall	recall	NOUN
alkej-1008	79	30	)	)	PUNCT
alkej-1008	79	31	and	and	CCONJ
alkej-1008	79	32	xgboost	xgboost	ADV
alkej-1008	79	33	(	(	PUNCT
alkej-1008	79	34	91.53	91.53	NUM
alkej-1008	79	35	%	%	NOUN
alkej-1008	79	36	accuracy	accuracy	NOUN
alkej-1008	79	37	and	and	CCONJ
alkej-1008	79	38	87.24	87.24	NUM
alkej-1008	79	39	%	%	NOUN
alkej-1008	79	40	recall	recall	NOUN
alkej-1008	79	41	)	)	PUNCT
alkej-1008	79	42	.	.	PUNCT
alkej-1008	80	1	the	the	DET
alkej-1008	80	2	potential	potential	NOUN
alkej-1008	80	3	of	of	ADP
alkej-1008	80	4	gas	gas	NOUN
alkej-1008	80	5	to	to	PART
alkej-1008	80	6	enhance	enhance	VERB
alkej-1008	80	7	url	url	NOUN
alkej-1008	80	8	-	-	PUNCT
alkej-1008	80	9	based	base	VERB
alkej-1008	80	10	phishing	phishe	VERB
alkej-1008	80	11	detection	detection	NOUN
alkej-1008	80	12	has	have	AUX
alkej-1008	80	13	been	be	AUX
alkej-1008	80	14	demonstrated	demonstrate	VERB
alkej-1008	80	15	,	,	PUNCT
alkej-1008	80	16	contributing	contribute	VERB
alkej-1008	80	17	to	to	PART
alkej-1008	80	18	research	research	NOUN
alkej-1008	80	19	on	on	ADP
alkej-1008	80	20	evolutionary	evolutionary	ADJ
alkej-1008	80	21	algorithms	algorithm	NOUN
alkej-1008	80	22	for	for	ADP
alkej-1008	80	23	improving	improve	VERB
alkej-1008	80	24	cybersecurity	cybersecurity	NOUN
alkej-1008	80	25	accuracy	accuracy	NOUN
alkej-1008	80	26	and	and	CCONJ
alkej-1008	80	27	robustness	robustness	NOUN
alkej-1008	80	28	.	.	PUNCT
alkej-1008	81	1	3	3	X
alkej-1008	81	2	.	.	X
alkej-1008	81	3	background	background	NOUN
alkej-1008	81	4	machine	machine	NOUN
alkej-1008	81	5	learning	learning	NOUN
alkej-1008	81	6	has	have	VERB
alkej-1008	81	7	many	many	ADJ
alkej-1008	81	8	ways	way	NOUN
alkej-1008	81	9	to	to	PART
alkej-1008	81	10	handle	handle	VERB
alkej-1008	81	11	data	datum	NOUN
alkej-1008	81	12	challenges	challenge	NOUN
alkej-1008	81	13	,	,	PUNCT
alkej-1008	81	14	and	and	CCONJ
alkej-1008	81	15	no	no	DET
alkej-1008	81	16	single	single	ADJ
alkej-1008	81	17	algorithm	algorithm	NOUN
alkej-1008	81	18	will	will	AUX
alkej-1008	81	19	solve	solve	VERB
alkej-1008	81	20	every	every	DET
alkej-1008	81	21	problem	problem	NOUN
alkej-1008	81	22	.	.	PUNCT
alkej-1008	82	1	specific	specific	ADJ
alkej-1008	82	2	task	task	NOUN
alkej-1008	82	3	,	,	PUNCT
alkej-1008	82	4	data	datum	NOUN
alkej-1008	82	5	involved	involve	VERB
alkej-1008	82	6	and	and	CCONJ
alkej-1008	82	7	the	the	DET
alkej-1008	82	8	model	model	NOUN
alkej-1008	82	9	that	that	PRON
alkej-1008	82	10	best	well	ADV
alkej-1008	82	11	fits	fit	VERB
alkej-1008	82	12	the	the	DET
alkej-1008	82	13	situation	situation	NOUN
alkej-1008	82	14	determines	determine	VERB
alkej-1008	82	15	the	the	DET
alkej-1008	82	16	choice	choice	NOUN
alkej-1008	82	17	of	of	ADP
alkej-1008	82	18	algorithm	algorithm	NOUN
alkej-1008	82	19	[	[	X
alkej-1008	82	20	29	29	NUM
alkej-1008	82	21	]	]	PUNCT
alkej-1008	82	22	.	.	PUNCT
alkej-1008	83	1	in	in	ADP
alkej-1008	83	2	this	this	DET
alkej-1008	83	3	thesis	thesis	NOUN
alkej-1008	83	4	,	,	PUNCT
alkej-1008	83	5	five	five	NUM
alkej-1008	83	6	well	well	ADV
alkej-1008	83	7	-	-	PUNCT
alkej-1008	83	8	known	know	VERB
alkej-1008	83	9	machine	machine	NOUN
alkej-1008	83	10	algorithms	algorithm	NOUN
alkej-1008	83	11	,	,	PUNCT
alkej-1008	83	12	namely	namely	ADV
alkej-1008	83	13	support	support	VERB
alkej-1008	83	14	vector	vector	NOUN
alkej-1008	83	15	machine	machine	NOUN
alkej-1008	83	16	random	random	ADJ
alkej-1008	83	17	forest	forest	NOUN
alkej-1008	83	18	,	,	PUNCT
alkej-1008	83	19	adaptive	adaptive	ADJ
alkej-1008	83	20	boosting	boosting	NOUN
alkej-1008	83	21	,	,	PUNCT
alkej-1008	83	22	extreme	extreme	ADJ
alkej-1008	83	23	gradient	gradient	NOUN
alkej-1008	83	24	boosting	boost	VERB
alkej-1008	83	25	and	and	CCONJ
alkej-1008	83	26	ensemble	ensemble	ADJ
alkej-1008	83	27	learning	learning	NOUN
alkej-1008	83	28	algorithms	algorithm	NOUN
alkej-1008	83	29	are	be	AUX
alkej-1008	83	30	adopted	adopt	VERB
alkej-1008	83	31	.	.	PUNCT
alkej-1008	84	1	3.1	3.1	NUM
alkej-1008	84	2	.	.	PUNCT
alkej-1008	85	1	support	support	NOUN
alkej-1008	85	2	vector	vector	NOUN
alkej-1008	85	3	machine	machine	NOUN
alkej-1008	85	4	this	this	DET
alkej-1008	85	5	algorithm	algorithm	NOUN
alkej-1008	85	6	belongs	belong	VERB
alkej-1008	85	7	to	to	ADP
alkej-1008	85	8	one	one	NUM
alkej-1008	85	9	of	of	ADP
alkej-1008	85	10	the	the	DET
alkej-1008	85	11	most	most	ADV
alkej-1008	85	12	ubiquitous	ubiquitous	ADJ
alkej-1008	85	13	in	in	ADP
alkej-1008	85	14	the	the	DET
alkej-1008	85	15	field	field	NOUN
alkej-1008	85	16	of	of	ADP
alkej-1008	85	17	machine	machine	NOUN
alkej-1008	85	18	learning	learn	VERB
alkej-1008	85	19	applicable	applicable	ADJ
alkej-1008	85	20	to	to	ADP
alkej-1008	85	21	classification	classification	NOUN
alkej-1008	85	22	and	and	CCONJ
alkej-1008	85	23	regression	regression	NOUN
alkej-1008	85	24	goals	goal	NOUN
alkej-1008	85	25	.	.	PUNCT
alkej-1008	86	1	it	it	PRON
alkej-1008	86	2	determines	determine	VERB
alkej-1008	86	3	the	the	DET
alkej-1008	86	4	best	good	ADJ
alkej-1008	86	5	hyperplane	hyperplane	NOUN
alkej-1008	86	6	,	,	PUNCT
alkej-1008	86	7	which	which	PRON
alkej-1008	86	8	separates	separate	VERB
alkej-1008	86	9	the	the	DET
alkej-1008	86	10	data	datum	NOUN
alkej-1008	86	11	into	into	ADP
alkej-1008	86	12	different	different	ADJ
alkej-1008	86	13	classes	class	NOUN
alkej-1008	86	14	or	or	CCONJ
alkej-1008	86	15	estimates	estimate	VERB
alkej-1008	86	16	the	the	DET
alkej-1008	86	17	target	target	NOUN
alkej-1008	86	18	variable	variable	NOUN
alkej-1008	86	19	in	in	ADP
alkej-1008	86	20	the	the	DET
alkej-1008	86	21	case	case	NOUN
alkej-1008	86	22	of	of	ADP
alkej-1008	86	23	regression	regression	NOUN
alkej-1008	86	24	.	.	PUNCT
alkej-1008	87	1	the	the	DET
alkej-1008	87	2	basic	basic	ADJ
alkej-1008	87	3	concept	concept	NOUN
alkej-1008	87	4	of	of	ADP
alkej-1008	87	5	svm	svm	PROPN
alkej-1008	87	6	lies	lie	NOUN
alkej-1008	87	7	in	in	ADP
alkej-1008	87	8	determining	determine	VERB
alkej-1008	87	9	the	the	DET
alkej-1008	87	10	hyperplane	hyperplane	NOUN
alkej-1008	87	11	when	when	SCONJ
alkej-1008	87	12	the	the	DET
alkej-1008	87	13	distance	distance	NOUN
alkej-1008	87	14	of	of	ADP
alkej-1008	87	15	the	the	DET
alkej-1008	87	16	two	two	NUM
alkej-1008	87	17	nearest	near	ADJ
alkej-1008	87	18	points	point	NOUN
alkej-1008	87	19	belonging	belong	VERB
alkej-1008	87	20	to	to	ADP
alkej-1008	87	21	two	two	NUM
alkej-1008	87	22	different	different	ADJ
alkej-1008	87	23	classes	class	NOUN
alkej-1008	87	24	is	be	AUX
alkej-1008	87	25	at	at	ADP
alkej-1008	87	26	its	its	PRON
alkej-1008	87	27	maximum	maximum	NOUN
alkej-1008	87	28	.	.	PUNCT
alkej-1008	88	1	this	this	DET
alkej-1008	88	2	margin	margin	NOUN
alkej-1008	88	3	is	be	AUX
alkej-1008	88	4	the	the	DET
alkej-1008	88	5	distance	distance	NOUN
alkej-1008	88	6	from	from	ADP
alkej-1008	88	7	the	the	DET
alkej-1008	88	8	ali	ali	PROPN
alkej-1008	88	9	raheem	raheem	PROPN
alkej-1008	88	10	al	al	PROPN
alkej-1008	88	11	-	-	PROPN
alkej-1008	88	12	hafiz	hafiz	PROPN
alkej-1008	88	13	al	al	PROPN
alkej-1008	88	14	-	-	PUNCT
alkej-1008	88	15	khwarizmi	khwarizmi	PROPN
alkej-1008	88	16	engineering	engineering	NOUN
alkej-1008	88	17	journal	journal	PROPN
alkej-1008	88	18	,	,	PUNCT
alkej-1008	88	19	vol	vol	NOUN
alkej-1008	88	20	.	.	PROPN
alkej-1008	88	21	21	21	NUM
alkej-1008	88	22	,	,	PUNCT
alkej-1008	88	23	no.2	no.2	PROPN
alkej-1008	88	24	,	,	PUNCT
alkej-1008	88	25	pp	pp	ADJ
alkej-1008	88	26	.	.	PUNCT
alkej-1008	89	1	117	117	NUM
alkej-1008	89	2	-	-	SYM
alkej-1008	89	3	135	135	NUM
alkej-1008	89	4	(	(	PUNCT
alkej-1008	89	5	2025	2025	NUM
alkej-1008	89	6	)	)	PUNCT
alkej-1008	89	7	120	120	NUM
alkej-1008	89	8	hyperplane	hyperplane	NOUN
alkej-1008	89	9	to	to	ADP
alkej-1008	89	10	the	the	DET
alkej-1008	89	11	closest	close	ADJ
alkej-1008	89	12	points	point	NOUN
alkej-1008	89	13	from	from	ADP
alkej-1008	89	14	each	each	DET
alkej-1008	89	15	class	class	NOUN
alkej-1008	89	16	in	in	ADP
alkej-1008	89	17	the	the	DET
alkej-1008	89	18	separated	separated	ADJ
alkej-1008	89	19	space	space	NOUN
alkej-1008	89	20	.	.	PUNCT
alkej-1008	90	1	svm	svm	PROPN
alkej-1008	90	2	attempts	attempt	NOUN
alkej-1008	90	3	to	to	PART
alkej-1008	90	4	search	search	VERB
alkej-1008	90	5	for	for	ADP
alkej-1008	90	6	a	a	DET
alkej-1008	90	7	hyperplane	hyperplane	NOUN
alkej-1008	90	8	that	that	PRON
alkej-1008	90	9	can	can	AUX
alkej-1008	90	10	be	be	AUX
alkej-1008	90	11	used	use	VERB
alkej-1008	90	12	to	to	PART
alkej-1008	90	13	classify	classify	VERB
alkej-1008	90	14	the	the	DET
alkej-1008	90	15	classes	class	NOUN
alkej-1008	90	16	whilst	whilst	SCONJ
alkej-1008	90	17	providing	provide	VERB
alkej-1008	90	18	the	the	DET
alkej-1008	90	19	maximum	maximum	ADJ
alkej-1008	90	20	margin	margin	NOUN
alkej-1008	90	21	to	to	PART
alkej-1008	90	22	gain	gain	VERB
alkej-1008	90	23	the	the	DET
alkej-1008	90	24	best	good	ADJ
alkej-1008	90	25	generalisation	generalisation	NOUN
alkej-1008	90	26	[	[	X
alkej-1008	90	27	30	30	NUM
alkej-1008	90	28	]	]	PUNCT
alkej-1008	90	29	.	.	PUNCT
alkej-1008	91	1	for	for	ADP
alkej-1008	91	2	non	non	ADJ
alkej-1008	91	3	-	-	ADJ
alkej-1008	91	4	linearly	linearly	ADV
alkej-1008	91	5	separable	separable	ADJ
alkej-1008	91	6	data	datum	NOUN
alkej-1008	91	7	,	,	PUNCT
alkej-1008	91	8	svm	svm	PROPN
alkej-1008	91	9	has	have	VERB
alkej-1008	91	10	kernel	kernel	NOUN
alkej-1008	91	11	trick	trick	NOUN
alkej-1008	91	12	in	in	ADP
alkej-1008	91	13	which	which	PRON
alkej-1008	91	14	the	the	DET
alkej-1008	91	15	data	datum	NOUN
alkej-1008	91	16	are	be	AUX
alkej-1008	91	17	transformed	transform	VERB
alkej-1008	91	18	to	to	ADP
alkej-1008	91	19	random	random	ADJ
alkej-1008	91	20	hyperspace	hyperspace	NOUN
alkej-1008	91	21	to	to	PART
alkej-1008	91	22	make	make	VERB
alkej-1008	91	23	it	it	PRON
alkej-1008	91	24	easily	easily	ADV
alkej-1008	91	25	separable	separable	ADJ
alkej-1008	91	26	.	.	PUNCT
alkej-1008	92	1	svm	svm	PROPN
alkej-1008	92	2	can	can	AUX
alkej-1008	92	3	then	then	ADV
alkej-1008	92	4	attempt	attempt	VERB
alkej-1008	92	5	to	to	PART
alkej-1008	92	6	look	look	VERB
alkej-1008	92	7	for	for	ADP
alkej-1008	92	8	a	a	DET
alkej-1008	92	9	hyperplane	hyperplane	NOUN
alkej-1008	92	10	which	which	PRON
alkej-1008	92	11	will	will	AUX
alkej-1008	92	12	split	split	VERB
alkej-1008	92	13	the	the	DET
alkej-1008	92	14	data	datum	NOUN
alkej-1008	92	15	in	in	ADP
alkej-1008	92	16	question	question	NOUN
alkej-1008	92	17	into	into	ADP
alkej-1008	92	18	different	different	ADJ
alkej-1008	92	19	classes	class	NOUN
alkej-1008	92	20	[	[	X
alkej-1008	92	21	31	31	NUM
alkej-1008	92	22	]	]	SYM
alkej-1008	92	23	.	.	PUNCT
alkej-1008	93	1	3.2	3.2	NUM
alkej-1008	93	2	.	.	PUNCT
alkej-1008	93	3	random	random	ADJ
alkej-1008	93	4	forest	forest	NOUN
alkej-1008	93	5	the	the	DET
alkej-1008	93	6	random	random	ADJ
alkej-1008	93	7	forest	forest	NOUN
alkej-1008	93	8	algorithm	algorithm	NOUN
alkej-1008	93	9	is	be	AUX
alkej-1008	93	10	used	use	VERB
alkej-1008	93	11	for	for	ADP
alkej-1008	93	12	regression	regression	NOUN
alkej-1008	93	13	and	and	CCONJ
alkej-1008	93	14	classification	classification	NOUN
alkej-1008	93	15	tasks	task	NOUN
alkej-1008	93	16	.	.	PUNCT
alkej-1008	94	1	it	it	PRON
alkej-1008	94	2	belongs	belong	VERB
alkej-1008	94	3	to	to	ADP
alkej-1008	94	4	the	the	DET
alkej-1008	94	5	family	family	NOUN
alkej-1008	94	6	of	of	ADP
alkej-1008	94	7	ensemble	ensemble	ADJ
alkej-1008	94	8	learning	learning	NOUN
alkej-1008	94	9	methods	method	NOUN
alkej-1008	94	10	,	,	PUNCT
alkej-1008	94	11	which	which	PRON
alkej-1008	94	12	combine	combine	VERB
alkej-1008	94	13	multiple	multiple	ADJ
alkej-1008	94	14	models	model	NOUN
alkej-1008	94	15	to	to	PART
alkej-1008	94	16	improve	improve	VERB
alkej-1008	94	17	the	the	DET
alkej-1008	94	18	predictive	predictive	ADJ
alkej-1008	94	19	performance	performance	NOUN
alkej-1008	94	20	of	of	ADP
alkej-1008	94	21	a	a	DET
alkej-1008	94	22	single	single	ADJ
alkej-1008	94	23	model	model	NOUN
alkej-1008	94	24	[	[	X
alkej-1008	94	25	24	24	NUM
alkej-1008	94	26	]	]	PUNCT
alkej-1008	94	27	.	.	PUNCT
alkej-1008	95	1	in	in	ADP
alkej-1008	95	2	random	random	ADJ
alkej-1008	95	3	forest	forest	NOUN
alkej-1008	95	4	,	,	PUNCT
alkej-1008	95	5	multiple	multiple	ADJ
alkej-1008	95	6	decision	decision	NOUN
alkej-1008	95	7	trees	tree	NOUN
alkej-1008	95	8	are	be	AUX
alkej-1008	95	9	constructed	construct	VERB
alkej-1008	95	10	independently	independently	ADV
alkej-1008	95	11	,	,	PUNCT
alkej-1008	95	12	each	each	PRON
alkej-1008	95	13	based	base	VERB
alkej-1008	95	14	on	on	ADP
alkej-1008	95	15	a	a	DET
alkej-1008	95	16	randomly	randomly	ADV
alkej-1008	95	17	selected	select	VERB
alkej-1008	95	18	subset	subset	NOUN
alkej-1008	95	19	of	of	ADP
alkej-1008	95	20	the	the	DET
alkej-1008	95	21	training	training	NOUN
alkej-1008	95	22	data	datum	NOUN
alkej-1008	95	23	and	and	CCONJ
alkej-1008	95	24	a	a	DET
alkej-1008	95	25	random	random	ADJ
alkej-1008	95	26	subset	subset	NOUN
alkej-1008	95	27	of	of	ADP
alkej-1008	95	28	the	the	DET
alkej-1008	95	29	features	feature	NOUN
alkej-1008	95	30	.	.	PUNCT
alkej-1008	96	1	the	the	DET
alkej-1008	96	2	output	output	NOUN
alkej-1008	96	3	of	of	ADP
alkej-1008	96	4	the	the	DET
alkej-1008	96	5	random	random	ADJ
alkej-1008	96	6	forest	forest	NOUN
alkej-1008	96	7	model	model	NOUN
alkej-1008	96	8	is	be	AUX
alkej-1008	96	9	then	then	ADV
alkej-1008	96	10	the	the	DET
alkej-1008	96	11	average	average	NOUN
alkej-1008	96	12	or	or	CCONJ
alkej-1008	96	13	the	the	DET
alkej-1008	96	14	majority	majority	NOUN
alkej-1008	96	15	vote	vote	NOUN
alkej-1008	96	16	of	of	ADP
alkej-1008	96	17	the	the	DET
alkej-1008	96	18	outputs	output	NOUN
alkej-1008	96	19	of	of	ADP
alkej-1008	96	20	the	the	DET
alkej-1008	96	21	individual	individual	ADJ
alkej-1008	96	22	trees	tree	NOUN
alkej-1008	96	23	[	[	X
alkej-1008	96	24	32	32	NUM
alkej-1008	96	25	]	]	PUNCT
alkej-1008	96	26	.	.	PUNCT
alkej-1008	97	1	3.3	3.3	NUM
alkej-1008	97	2	.	.	PUNCT
alkej-1008	98	1	adaptive	adaptive	ADJ
alkej-1008	98	2	boosting	boost	VERB
alkej-1008	98	3	adaptive	adaptive	ADJ
alkej-1008	98	4	boosting	boost	VERB
alkej-1008	98	5	(	(	PUNCT
alkej-1008	98	6	adaboost	adaboost	ADV
alkej-1008	98	7	)	)	PUNCT
alkej-1008	98	8	is	be	AUX
alkej-1008	98	9	a	a	DET
alkej-1008	98	10	popular	popular	ADJ
alkej-1008	98	11	machine	machine	NOUN
alkej-1008	98	12	learning	learn	VERB
alkej-1008	98	13	algorithm	algorithm	NOUN
alkej-1008	98	14	introduced	introduce	VERB
alkej-1008	98	15	in	in	ADP
alkej-1008	98	16	1995	1995	NUM
alkej-1008	98	17	by	by	ADP
alkej-1008	98	18	yoav	yoav	PROPN
alkej-1008	98	19	freund	freund	PROPN
alkej-1008	98	20	and	and	CCONJ
alkej-1008	98	21	robert	robert	PROPN
alkej-1008	98	22	schapiro	schapiro	PROPN
alkej-1008	98	23	.	.	PUNCT
alkej-1008	99	1	it	it	PRON
alkej-1008	99	2	is	be	AUX
alkej-1008	99	3	inspired	inspire	VERB
alkej-1008	99	4	by	by	ADP
alkej-1008	99	5	the	the	DET
alkej-1008	99	6	idea	idea	NOUN
alkej-1008	99	7	of	of	ADP
alkej-1008	99	8	a	a	DET
alkej-1008	99	9	gambler	gambler	NOUN
alkej-1008	99	10	in	in	ADP
alkej-1008	99	11	horse	horse	NOUN
alkej-1008	99	12	racing	racing	NOUN
alkej-1008	99	13	seeking	seek	VERB
alkej-1008	99	14	advice	advice	NOUN
alkej-1008	99	15	from	from	ADP
alkej-1008	99	16	experienced	experienced	ADJ
alkej-1008	99	17	bettors	bettor	NOUN
alkej-1008	99	18	to	to	PART
alkej-1008	99	19	select	select	VERB
alkej-1008	99	20	the	the	DET
alkej-1008	99	21	best	good	ADJ
alkej-1008	99	22	horse	horse	NOUN
alkej-1008	99	23	.	.	PUNCT
alkej-1008	100	1	the	the	DET
alkej-1008	100	2	primary	primary	ADJ
alkej-1008	100	3	goal	goal	NOUN
alkej-1008	100	4	of	of	ADP
alkej-1008	100	5	adaboost	adaboost	ADV
alkej-1008	100	6	is	be	AUX
alkej-1008	100	7	to	to	PART
alkej-1008	100	8	enhance	enhance	VERB
alkej-1008	100	9	the	the	DET
alkej-1008	100	10	performance	performance	NOUN
alkej-1008	100	11	of	of	ADP
alkej-1008	100	12	multiple	multiple	ADJ
alkej-1008	100	13	‘	'	PUNCT
alkej-1008	100	14	weak	weak	ADJ
alkej-1008	100	15	learners	learner	NOUN
alkej-1008	100	16	’	'	PUNCT
alkej-1008	100	17	by	by	ADP
alkej-1008	100	18	combining	combine	VERB
alkej-1008	100	19	them	they	PRON
alkej-1008	100	20	into	into	ADP
alkej-1008	100	21	a	a	DET
alkej-1008	100	22	single	single	ADJ
alkej-1008	100	23	‘	'	PUNCT
alkej-1008	100	24	strong	strong	ADJ
alkej-1008	100	25	learner	learner	NOUN
alkej-1008	100	26	’	'	PUNCT
alkej-1008	100	27	capable	capable	ADJ
alkej-1008	100	28	of	of	ADP
alkej-1008	100	29	accurate	accurate	ADJ
alkej-1008	100	30	predictions	prediction	NOUN
alkej-1008	100	31	.	.	PUNCT
alkej-1008	101	1	implementing	implement	VERB
alkej-1008	101	2	adaboost	adaboost	ADV
alkej-1008	101	3	is	be	AUX
alkej-1008	101	4	easy	easy	ADJ
alkej-1008	101	5	,	,	PUNCT
alkej-1008	101	6	and	and	CCONJ
alkej-1008	101	7	it	it	PRON
alkej-1008	101	8	can	can	AUX
alkej-1008	101	9	be	be	AUX
alkej-1008	101	10	used	use	VERB
alkej-1008	101	11	on	on	ADP
alkej-1008	101	12	a	a	DET
alkej-1008	101	13	large	large	ADJ
alkej-1008	101	14	variety	variety	NOUN
alkej-1008	101	15	of	of	ADP
alkej-1008	101	16	problems	problem	NOUN
alkej-1008	101	17	.	.	PUNCT
alkej-1008	102	1	it	it	PRON
alkej-1008	102	2	shows	show	VERB
alkej-1008	102	3	high	high	ADJ
alkej-1008	102	4	performance	performance	NOUN
alkej-1008	102	5	,	,	PUNCT
alkej-1008	102	6	working	work	VERB
alkej-1008	102	7	well	well	ADV
alkej-1008	102	8	with	with	ADP
alkej-1008	102	9	low	low	ADJ
alkej-1008	102	10	noise	noise	NOUN
alkej-1008	102	11	data	datum	NOUN
alkej-1008	102	12	whilst	whilst	SCONJ
alkej-1008	102	13	achieving	achieve	VERB
alkej-1008	102	14	high	high	ADJ
alkej-1008	102	15	accuracy	accuracy	NOUN
alkej-1008	102	16	.	.	PUNCT
alkej-1008	103	1	the	the	DET
alkej-1008	103	2	algorithm	algorithm	NOUN
alkej-1008	103	3	is	be	AUX
alkej-1008	103	4	also	also	ADV
alkej-1008	103	5	flexible	flexible	ADJ
alkej-1008	103	6	,	,	PUNCT
alkej-1008	103	7	because	because	SCONJ
alkej-1008	103	8	it	it	PRON
alkej-1008	103	9	can	can	AUX
alkej-1008	103	10	be	be	AUX
alkej-1008	103	11	combined	combine	VERB
alkej-1008	103	12	with	with	ADP
alkej-1008	103	13	other	other	ADJ
alkej-1008	103	14	weak	weak	ADJ
alkej-1008	103	15	learners	learner	NOUN
alkej-1008	103	16	,	,	PUNCT
alkej-1008	103	17	such	such	ADJ
alkej-1008	103	18	as	as	ADP
alkej-1008	103	19	decision	decision	NOUN
alkej-1008	103	20	trees	tree	NOUN
alkej-1008	103	21	.	.	PUNCT
alkej-1008	104	1	it	it	PRON
alkej-1008	104	2	also	also	ADV
alkej-1008	104	3	works	work	VERB
alkej-1008	104	4	well	well	ADV
alkej-1008	104	5	with	with	ADP
alkej-1008	104	6	errors	error	NOUN
alkej-1008	104	7	by	by	ADP
alkej-1008	104	8	focusing	focus	VERB
alkej-1008	104	9	on	on	ADP
alkej-1008	104	10	misclassified	misclassified	ADJ
alkej-1008	104	11	samples	sample	NOUN
alkej-1008	104	12	and	and	CCONJ
alkej-1008	104	13	improving	improve	VERB
alkej-1008	104	14	the	the	DET
alkej-1008	104	15	model	model	NOUN
alkej-1008	104	16	’s	’s	PART
alkej-1008	104	17	overall	overall	ADJ
alkej-1008	104	18	accuracy	accuracy	NOUN
alkej-1008	104	19	in	in	ADP
alkej-1008	104	20	an	an	DET
alkej-1008	104	21	iterative	iterative	NOUN
alkej-1008	104	22	manner	manner	NOUN
alkej-1008	104	23	[	[	X
alkej-1008	104	24	33	33	NUM
alkej-1008	104	25	]	]	PUNCT
alkej-1008	104	26	.	.	PUNCT
alkej-1008	105	1	3.4	3.4	NUM
alkej-1008	105	2	.	.	PUNCT
alkej-1008	106	1	extreme	extreme	ADJ
alkej-1008	106	2	gradient	gradient	NOUN
alkej-1008	106	3	boosting	boost	VERB
alkej-1008	106	4	xgboost	xgboost	ADP
alkej-1008	106	5	is	be	AUX
alkej-1008	106	6	a	a	DET
alkej-1008	106	7	scalable	scalable	ADJ
alkej-1008	106	8	tree	tree	NOUN
alkej-1008	106	9	boosting	boost	VERB
alkej-1008	106	10	with	with	ADP
alkej-1008	106	11	efficiency	efficiency	NOUN
alkej-1008	106	12	and	and	CCONJ
alkej-1008	106	13	memory	memory	NOUN
alkej-1008	106	14	resource	resource	NOUN
alkej-1008	106	15	.	.	PUNCT
alkej-1008	107	1	it	it	PRON
alkej-1008	107	2	is	be	AUX
alkej-1008	107	3	applicable	applicable	ADJ
alkej-1008	107	4	for	for	ADP
alkej-1008	107	5	regression	regression	NOUN
alkej-1008	107	6	and	and	CCONJ
alkej-1008	107	7	classification	classification	NOUN
alkej-1008	107	8	problems	problem	NOUN
alkej-1008	107	9	.	.	PUNCT
alkej-1008	108	1	at	at	ADP
alkej-1008	108	2	each	each	DET
alkej-1008	108	3	step	step	NOUN
alkej-1008	108	4	,	,	PUNCT
alkej-1008	108	5	it	it	PRON
alkej-1008	108	6	creates	create	VERB
alkej-1008	108	7	a	a	DET
alkej-1008	108	8	weak	weak	ADJ
alkej-1008	108	9	learner	learner	NOUN
alkej-1008	108	10	and	and	CCONJ
alkej-1008	108	11	adds	add	VERB
alkej-1008	108	12	to	to	ADP
alkej-1008	108	13	the	the	DET
alkej-1008	108	14	overall	overall	ADJ
alkej-1008	108	15	model	model	NOUN
alkej-1008	108	16	.	.	PUNCT
alkej-1008	109	1	gradient	gradient	ADJ
alkej-1008	109	2	boosting	boost	VERB
alkej-1008	109	3	machines	machine	NOUN
alkej-1008	109	4	(	(	PUNCT
alkej-1008	109	5	gbms	gbms	NOUN
alkej-1008	109	6	)	)	PUNCT
alkej-1008	109	7	are	be	AUX
alkej-1008	109	8	created	create	VERB
alkej-1008	109	9	when	when	SCONJ
alkej-1008	109	10	the	the	DET
alkej-1008	109	11	weak	weak	ADJ
alkej-1008	109	12	learner	learner	NOUN
alkej-1008	109	13	for	for	ADP
alkej-1008	109	14	each	each	DET
alkej-1008	109	15	step	step	NOUN
alkej-1008	109	16	is	be	AUX
alkej-1008	109	17	the	the	DET
alkej-1008	109	18	gradient	gradient	ADJ
alkej-1008	109	19	direction	direction	NOUN
alkej-1008	109	20	of	of	ADP
alkej-1008	109	21	the	the	DET
alkej-1008	109	22	loss	loss	NOUN
alkej-1008	109	23	function	function	NOUN
alkej-1008	109	24	[	[	X
alkej-1008	109	25	34	34	NUM
alkej-1008	109	26	]	]	PUNCT
alkej-1008	109	27	.	.	PUNCT
alkej-1008	110	1	3.5	3.5	NUM
alkej-1008	110	2	.	.	PUNCT
alkej-1008	111	1	ensemble	ensemble	ADJ
alkej-1008	111	2	learning	learning	NOUN
alkej-1008	111	3	ensemble	ensemble	ADJ
alkej-1008	111	4	learning	learning	NOUN
alkej-1008	111	5	is	be	AUX
alkej-1008	111	6	a	a	DET
alkej-1008	111	7	machine	machine	NOUN
alkej-1008	111	8	learning	learning	NOUN
alkej-1008	111	9	technique	technique	NOUN
alkej-1008	111	10	in	in	ADP
alkej-1008	111	11	which	which	PRON
alkej-1008	111	12	the	the	DET
alkej-1008	111	13	predictions	prediction	NOUN
alkej-1008	111	14	of	of	ADP
alkej-1008	111	15	multiple	multiple	ADJ
alkej-1008	111	16	models	model	NOUN
alkej-1008	111	17	,	,	PUNCT
alkej-1008	111	18	known	know	VERB
alkej-1008	111	19	as	as	ADP
alkej-1008	111	20	‘	'	PUNCT
alkej-1008	111	21	base	base	NOUN
alkej-1008	111	22	learners	learner	NOUN
alkej-1008	111	23	’	'	PUNCT
alkej-1008	111	24	or	or	CCONJ
alkej-1008	111	25	‘	'	PUNCT
alkej-1008	111	26	weak	weak	ADJ
alkej-1008	111	27	learners	learner	NOUN
alkej-1008	111	28	’	'	PUNCT
alkej-1008	111	29	,	,	PUNCT
alkej-1008	111	30	are	be	AUX
alkej-1008	111	31	combined	combine	VERB
alkej-1008	111	32	to	to	PART
alkej-1008	111	33	improve	improve	VERB
alkej-1008	111	34	overall	overall	ADJ
alkej-1008	111	35	performance	performance	NOUN
alkej-1008	111	36	.	.	PUNCT
alkej-1008	112	1	the	the	DET
alkej-1008	112	2	underlying	underlying	ADJ
alkej-1008	112	3	principle	principle	NOUN
alkej-1008	112	4	is	be	AUX
alkej-1008	112	5	that	that	SCONJ
alkej-1008	112	6	more	more	ADV
alkej-1008	112	7	accurate	accurate	ADJ
alkej-1008	112	8	and	and	CCONJ
alkej-1008	112	9	robust	robust	ADJ
alkej-1008	112	10	predictions	prediction	NOUN
alkej-1008	112	11	can	can	AUX
alkej-1008	112	12	be	be	AUX
alkej-1008	112	13	produced	produce	VERB
alkej-1008	112	14	by	by	ADP
alkej-1008	112	15	a	a	DET
alkej-1008	112	16	group	group	NOUN
alkej-1008	112	17	of	of	ADP
alkej-1008	112	18	diverse	diverse	ADJ
alkej-1008	112	19	models	model	NOUN
alkej-1008	112	20	working	work	VERB
alkej-1008	112	21	together	together	ADV
alkej-1008	112	22	than	than	ADP
alkej-1008	112	23	by	by	ADP
alkej-1008	112	24	any	any	DET
alkej-1008	112	25	single	single	ADJ
alkej-1008	112	26	model	model	NOUN
alkej-1008	112	27	.	.	PUNCT
alkej-1008	113	1	this	this	DET
alkej-1008	113	2	approach	approach	NOUN
alkej-1008	113	3	is	be	AUX
alkej-1008	113	4	highly	highly	ADV
alkej-1008	113	5	effective	effective	ADJ
alkej-1008	113	6	in	in	ADP
alkej-1008	113	7	various	various	ADJ
alkej-1008	113	8	problem	problem	NOUN
alkej-1008	113	9	domains	domain	NOUN
alkej-1008	113	10	,	,	PUNCT
alkej-1008	113	11	including	include	VERB
alkej-1008	113	12	artificial	artificial	ADJ
alkej-1008	113	13	intelligence	intelligence	NOUN
alkej-1008	113	14	,	,	PUNCT
alkej-1008	113	15	machine	machine	NOUN
alkej-1008	113	16	learning	learning	NOUN
alkej-1008	113	17	,	,	PUNCT
alkej-1008	113	18	pattern	pattern	NOUN
alkej-1008	113	19	recognition	recognition	NOUN
alkej-1008	113	20	and	and	CCONJ
alkej-1008	113	21	data	datum	NOUN
alkej-1008	113	22	mining	mining	NOUN
alkej-1008	113	23	;	;	PUNCT
alkej-1008	113	24	additionally	additionally	ADV
alkej-1008	113	25	,	,	PUNCT
alkej-1008	113	26	it	it	PRON
alkej-1008	113	27	has	have	VERB
alkej-1008	113	28	numerous	numerous	ADJ
alkej-1008	113	29	real	real	ADJ
alkej-1008	113	30	-	-	PUNCT
alkej-1008	113	31	world	world	NOUN
alkej-1008	113	32	applications	application	NOUN
alkej-1008	113	33	.	.	PUNCT
alkej-1008	114	1	ensemble	ensemble	ADJ
alkej-1008	114	2	learning	learning	NOUN
alkej-1008	114	3	methods	method	NOUN
alkej-1008	114	4	rely	rely	VERB
alkej-1008	114	5	on	on	ADP
alkej-1008	114	6	the	the	DET
alkej-1008	114	7	diversity	diversity	NOUN
alkej-1008	114	8	of	of	ADP
alkej-1008	114	9	base	base	NOUN
alkej-1008	114	10	models	model	NOUN
alkej-1008	114	11	,	,	PUNCT
alkej-1008	114	12	where	where	SCONJ
alkej-1008	114	13	different	different	ADJ
alkej-1008	114	14	models	model	NOUN
alkej-1008	114	15	may	may	AUX
alkej-1008	114	16	make	make	VERB
alkej-1008	114	17	different	different	ADJ
alkej-1008	114	18	errors	error	NOUN
alkej-1008	114	19	.	.	PUNCT
alkej-1008	115	1	by	by	ADP
alkej-1008	115	2	combining	combine	VERB
alkej-1008	115	3	them	they	PRON
alkej-1008	115	4	,	,	PUNCT
alkej-1008	115	5	the	the	DET
alkej-1008	115	6	weaknesses	weakness	NOUN
alkej-1008	115	7	of	of	ADP
alkej-1008	115	8	individual	individual	ADJ
alkej-1008	115	9	models	model	NOUN
alkej-1008	115	10	can	can	AUX
alkej-1008	115	11	be	be	AUX
alkej-1008	115	12	offset	offset	VERB
alkej-1008	115	13	.	.	PUNCT
alkej-1008	116	1	the	the	DET
alkej-1008	116	2	predictions	prediction	NOUN
alkej-1008	116	3	of	of	ADP
alkej-1008	116	4	these	these	DET
alkej-1008	116	5	models	model	NOUN
alkej-1008	116	6	are	be	AUX
alkej-1008	116	7	aggregated	aggregate	VERB
alkej-1008	116	8	using	use	VERB
alkej-1008	116	9	techniques	technique	NOUN
alkej-1008	116	10	such	such	ADJ
alkej-1008	116	11	as	as	ADP
alkej-1008	116	12	voting	voting	NOUN
alkej-1008	116	13	(	(	PUNCT
alkej-1008	116	14	for	for	ADP
alkej-1008	116	15	classification	classification	NOUN
alkej-1008	116	16	)	)	PUNCT
alkej-1008	116	17	,	,	PUNCT
alkej-1008	116	18	averaging	average	VERB
alkej-1008	116	19	(	(	PUNCT
alkej-1008	116	20	for	for	ADP
alkej-1008	116	21	regression	regression	NOUN
alkej-1008	116	22	)	)	PUNCT
alkej-1008	116	23	or	or	CCONJ
alkej-1008	116	24	weighted	weight	VERB
alkej-1008	116	25	combinations	combination	NOUN
alkej-1008	116	26	[	[	X
alkej-1008	116	27	35	35	NUM
alkej-1008	116	28	]	]	SYM
alkej-1008	116	29	.	.	PUNCT
alkej-1008	117	1	3.6	3.6	NUM
alkej-1008	117	2	.	.	PUNCT
alkej-1008	118	1	feature	feature	NOUN
alkej-1008	118	2	selection	selection	NOUN
alkej-1008	118	3	feature	feature	NOUN
alkej-1008	118	4	selection	selection	NOUN
alkej-1008	118	5	is	be	AUX
alkej-1008	118	6	a	a	DET
alkej-1008	118	7	preprocessing	preprocessing	NOUN
alkej-1008	118	8	technique	technique	NOUN
alkej-1008	118	9	aimed	aim	VERB
alkej-1008	118	10	at	at	ADP
alkej-1008	118	11	identifying	identify	VERB
alkej-1008	118	12	a	a	DET
alkej-1008	118	13	minimal	minimal	ADJ
alkej-1008	118	14	subset	subset	NOUN
alkej-1008	118	15	of	of	ADP
alkej-1008	118	16	features	feature	NOUN
alkej-1008	118	17	that	that	PRON
alkej-1008	118	18	effectively	effectively	ADV
alkej-1008	118	19	capture	capture	VERB
alkej-1008	118	20	the	the	DET
alkej-1008	118	21	relevant	relevant	ADJ
alkej-1008	118	22	properties	property	NOUN
alkej-1008	118	23	of	of	ADP
alkej-1008	118	24	a	a	DET
alkej-1008	118	25	dataset	dataset	NOUN
alkej-1008	118	26	for	for	ADP
alkej-1008	118	27	adequate	adequate	ADJ
alkej-1008	118	28	classification	classification	NOUN
alkej-1008	118	29	by	by	ADP
alkej-1008	118	30	removing	remove	VERB
alkej-1008	118	31	irrelevant	irrelevant	ADJ
alkej-1008	118	32	and	and	CCONJ
alkej-1008	118	33	redundant	redundant	ADJ
alkej-1008	118	34	information	information	NOUN
alkej-1008	118	35	;	;	PUNCT
alkej-1008	118	36	it	it	PRON
alkej-1008	118	37	reduces	reduce	VERB
alkej-1008	118	38	data	datum	NOUN
alkej-1008	118	39	dimensionality	dimensionality	NOUN
alkej-1008	118	40	,	,	PUNCT
alkej-1008	118	41	enhancing	enhance	VERB
alkej-1008	118	42	the	the	DET
alkej-1008	118	43	speed	speed	NOUN
alkej-1008	118	44	and	and	CCONJ
alkej-1008	118	45	effectiveness	effectiveness	NOUN
alkej-1008	118	46	of	of	ADP
alkej-1008	118	47	learning	learn	VERB
alkej-1008	118	48	algorithms	algorithm	NOUN
alkej-1008	118	49	.	.	PUNCT
alkej-1008	119	1	the	the	DET
alkej-1008	119	2	goal	goal	NOUN
alkej-1008	119	3	is	be	AUX
alkej-1008	119	4	to	to	PART
alkej-1008	119	5	determine	determine	VERB
alkej-1008	119	6	a	a	DET
alkej-1008	119	7	subset	subset	NOUN
alkej-1008	119	8	that	that	PRON
alkej-1008	119	9	performs	perform	VERB
alkej-1008	119	10	as	as	ADV
alkej-1008	119	11	well	well	ADV
alkej-1008	119	12	as	as	ADP
alkej-1008	119	13	or	or	CCONJ
alkej-1008	119	14	better	well	ADJ
alkej-1008	119	15	than	than	ADP
alkej-1008	119	16	the	the	DET
alkej-1008	119	17	original	original	ADJ
alkej-1008	119	18	dataset	dataset	NOUN
alkej-1008	119	19	.	.	PUNCT
alkej-1008	120	1	features	feature	NOUN
alkej-1008	120	2	,	,	PUNCT
alkej-1008	120	3	which	which	PRON
alkej-1008	120	4	can	can	AUX
alkej-1008	120	5	be	be	AUX
alkej-1008	120	6	discrete	discrete	ADJ
alkej-1008	120	7	,	,	PUNCT
alkej-1008	120	8	continuous	continuous	ADJ
alkej-1008	120	9	or	or	CCONJ
alkej-1008	120	10	nominal	nominal	ADJ
alkej-1008	120	11	,	,	PUNCT
alkej-1008	120	12	are	be	AUX
alkej-1008	120	13	categorised	categorise	VERB
alkej-1008	120	14	as	as	ADP
alkej-1008	120	15	relevant	relevant	ADJ
alkej-1008	120	16	,	,	PUNCT
alkej-1008	120	17	unnecessary	unnecessary	ADJ
alkej-1008	120	18	or	or	CCONJ
alkej-1008	120	19	redundant	redundant	ADJ
alkej-1008	120	20	features	feature	NOUN
alkej-1008	120	21	that	that	PRON
alkej-1008	120	22	do	do	AUX
alkej-1008	120	23	not	not	PART
alkej-1008	120	24	directly	directly	ADV
alkej-1008	120	25	impact	impact	VERB
alkej-1008	120	26	the	the	DET
alkej-1008	120	27	output	output	NOUN
alkej-1008	120	28	and	and	CCONJ
alkej-1008	120	29	fail	fail	VERB
alkej-1008	120	30	to	to	PART
alkej-1008	120	31	add	add	VERB
alkej-1008	120	32	uniquely	uniquely	ADV
alkej-1008	120	33	to	to	ADP
alkej-1008	120	34	the	the	DET
alkej-1008	120	35	learning	learning	NOUN
alkej-1008	120	36	target	target	NOUN
alkej-1008	120	37	.	.	PUNCT
alkej-1008	121	1	irrelevant	irrelevant	ADJ
alkej-1008	121	2	features	feature	NOUN
alkej-1008	121	3	can	can	AUX
alkej-1008	121	4	be	be	AUX
alkej-1008	121	5	defined	define	VERB
alkej-1008	121	6	as	as	ADP
alkej-1008	121	7	those	those	PRON
alkej-1008	121	8	without	without	ADP
alkej-1008	121	9	influence	influence	NOUN
alkej-1008	121	10	on	on	ADP
alkej-1008	121	11	the	the	DET
alkej-1008	121	12	result	result	NOUN
alkej-1008	121	13	,	,	PUNCT
alkej-1008	121	14	with	with	ADP
alkej-1008	121	15	their	their	PRON
alkej-1008	121	16	values	value	NOUN
alkej-1008	121	17	created	create	VERB
alkej-1008	121	18	randomly	randomly	ADV
alkej-1008	121	19	for	for	ADP
alkej-1008	121	20	each	each	DET
alkej-1008	121	21	case	case	NOUN
alkej-1008	121	22	.	.	PUNCT
alkej-1008	122	1	redundancy	redundancy	NOUN
alkej-1008	122	2	occurs	occur	VERB
alkej-1008	122	3	when	when	SCONJ
alkej-1008	122	4	one	one	NUM
alkej-1008	122	5	feature	feature	NOUN
alkej-1008	122	6	can	can	AUX
alkej-1008	122	7	take	take	VERB
alkej-1008	122	8	on	on	ADP
alkej-1008	122	9	a	a	DET
alkej-1008	122	10	role	role	NOUN
alkej-1008	122	11	of	of	ADP
alkej-1008	122	12	another	another	PRON
alkej-1008	122	13	[	[	X
alkej-1008	122	14	36	36	NUM
alkej-1008	122	15	]	]	PUNCT
alkej-1008	122	16	.	.	PUNCT
alkej-1008	123	1	feature	feature	NOUN
alkej-1008	123	2	selection	selection	NOUN
alkej-1008	123	3	algorithm	algorithm	NOUN
alkej-1008	123	4	primarily	primarily	ADV
alkej-1008	123	5	aims	aim	VERB
alkej-1008	123	6	to	to	PART
alkej-1008	123	7	identify	identify	VERB
alkej-1008	123	8	a	a	DET
alkej-1008	123	9	subset	subset	NOUN
alkej-1008	123	10	of	of	ADP
alkej-1008	123	11	features	feature	NOUN
alkej-1008	123	12	that	that	PRON
alkej-1008	123	13	are	be	AUX
alkej-1008	123	14	both	both	ADV
alkej-1008	123	15	independent	independent	ADJ
alkej-1008	123	16	and	and	CCONJ
alkej-1008	123	17	effectively	effectively	ADV
alkej-1008	123	18	relevant	relevant	ADJ
alkej-1008	123	19	to	to	ADP
alkej-1008	123	20	the	the	DET
alkej-1008	123	21	learning	learning	NOUN
alkej-1008	123	22	process	process	NOUN
alkej-1008	123	23	.	.	PUNCT
alkej-1008	124	1	feature	feature	NOUN
alkej-1008	124	2	selection	selection	NOUN
alkej-1008	124	3	is	be	AUX
alkej-1008	124	4	classified	classify	VERB
alkej-1008	124	5	into	into	ADP
alkej-1008	124	6	three	three	NUM
alkej-1008	124	7	categories	category	NOUN
alkej-1008	124	8	:	:	PUNCT
alkej-1008	124	9	filter	filter	NOUN
alkej-1008	124	10	,	,	PUNCT
alkej-1008	124	11	wrapper	wrapper	NOUN
alkej-1008	124	12	and	and	CCONJ
alkej-1008	124	13	embedded	embed	VERB
alkej-1008	124	14	techniques	technique	NOUN
alkej-1008	124	15	[	[	X
alkej-1008	124	16	37	37	NUM
alkej-1008	124	17	]	]	PUNCT
alkej-1008	124	18	.	.	PUNCT
alkej-1008	125	1	ali	ali	PROPN
alkej-1008	125	2	raheem	raheem	PROPN
alkej-1008	125	3	al	al	PROPN
alkej-1008	125	4	-	-	PROPN
alkej-1008	125	5	hafiz	hafiz	PROPN
alkej-1008	125	6	al	al	PROPN
alkej-1008	125	7	-	-	PUNCT
alkej-1008	125	8	khwarizmi	khwarizmi	PROPN
alkej-1008	125	9	engineering	engineering	NOUN
alkej-1008	125	10	journal	journal	PROPN
alkej-1008	125	11	,	,	PUNCT
alkej-1008	125	12	vol	vol	NOUN
alkej-1008	125	13	.	.	PROPN
alkej-1008	125	14	21	21	NUM
alkej-1008	125	15	,	,	PUNCT
alkej-1008	125	16	no.2	no.2	PROPN
alkej-1008	125	17	,	,	PUNCT
alkej-1008	125	18	pp	pp	ADJ
alkej-1008	125	19	.	.	PUNCT
alkej-1008	126	1	117	117	NUM
alkej-1008	126	2	-	-	SYM
alkej-1008	126	3	135	135	NUM
alkej-1008	126	4	(	(	PUNCT
alkej-1008	126	5	2025	2025	NUM
alkej-1008	126	6	)	)	PUNCT
alkej-1008	127	1	121	121	NUM
alkej-1008	127	2	3.7	3.7	NUM
alkej-1008	127	3	.	.	PUNCT
alkej-1008	128	1	genetic	genetic	ADJ
alkej-1008	128	2	algorithm	algorithm	NOUN
alkej-1008	128	3	an	an	DET
alkej-1008	128	4	optimisation	optimisation	NOUN
alkej-1008	128	5	algorithm	algorithm	NOUN
alkej-1008	128	6	is	be	AUX
alkej-1008	128	7	based	base	VERB
alkej-1008	128	8	on	on	ADP
alkej-1008	128	9	the	the	DET
alkej-1008	128	10	principles	principle	NOUN
alkej-1008	128	11	of	of	ADP
alkej-1008	128	12	natural	natural	ADJ
alkej-1008	128	13	selection	selection	NOUN
alkej-1008	128	14	[	[	X
alkej-1008	128	15	38	38	NUM
alkej-1008	128	16	]	]	PUNCT
alkej-1008	128	17	.	.	PUNCT
alkej-1008	129	1	the	the	DET
alkej-1008	129	2	algorithm	algorithm	NOUN
alkej-1008	129	3	is	be	AUX
alkej-1008	129	4	population	population	NOUN
alkej-1008	129	5	based	base	VERB
alkej-1008	129	6	and	and	CCONJ
alkej-1008	129	7	is	be	AUX
alkej-1008	129	8	implemented	implement	VERB
alkej-1008	129	9	in	in	ADP
alkej-1008	129	10	keeping	keep	VERB
alkej-1008	129	11	with	with	ADP
alkej-1008	129	12	the	the	DET
alkej-1008	129	13	principle	principle	NOUN
alkej-1008	129	14	of	of	ADP
alkej-1008	129	15	natural	natural	ADJ
alkej-1008	129	16	selection	selection	NOUN
alkej-1008	129	17	[	[	X
alkej-1008	129	18	39	39	NUM
alkej-1008	129	19	]	]	PUNCT
alkej-1008	129	20	.	.	PUNCT
alkej-1008	130	1	new	new	ADJ
alkej-1008	130	2	populations	population	NOUN
alkej-1008	130	3	are	be	AUX
alkej-1008	130	4	generated	generate	VERB
alkej-1008	130	5	by	by	ADP
alkej-1008	130	6	using	use	VERB
alkej-1008	130	7	genetic	genetic	ADJ
alkej-1008	130	8	operators	operator	NOUN
alkej-1008	130	9	across	across	ADP
alkej-1008	130	10	generations	generation	NOUN
alkej-1008	130	11	on	on	ADP
alkej-1008	130	12	current	current	ADJ
alkej-1008	130	13	individuals	individual	NOUN
alkej-1008	130	14	within	within	ADP
alkej-1008	130	15	the	the	DET
alkej-1008	130	16	population	population	NOUN
alkej-1008	130	17	.	.	PUNCT
alkej-1008	131	1	the	the	DET
alkej-1008	131	2	parts	part	NOUN
alkej-1008	131	3	of	of	ADP
alkej-1008	131	4	ga	ga	PROPN
alkej-1008	131	5	include	include	VERB
alkej-1008	131	6	initialisation	initialisation	NOUN
alkej-1008	131	7	,	,	PUNCT
alkej-1008	131	8	fitness	fitness	NOUN
alkej-1008	131	9	function	function	NOUN
alkej-1008	131	10	,	,	PUNCT
alkej-1008	131	11	selection	selection	NOUN
alkej-1008	131	12	,	,	PUNCT
alkej-1008	131	13	crossover	crossover	NOUN
alkej-1008	131	14	,	,	PUNCT
alkej-1008	131	15	mutation	mutation	NOUN
alkej-1008	131	16	,	,	PUNCT
alkej-1008	131	17	replacement	replacement	NOUN
alkej-1008	131	18	and	and	CCONJ
alkej-1008	131	19	termination	termination	NOUN
alkej-1008	132	1	[	[	X
alkej-1008	132	2	40	40	NUM
alkej-1008	132	3	]	]	PUNCT
alkej-1008	132	4	.	.	PUNCT
alkej-1008	133	1	3.7.1	3.7.1	X
alkej-1008	133	2	.	.	PUNCT
alkej-1008	133	3	initialisation	initialisation	NOUN
alkej-1008	133	4	initialisation	initialisation	NOUN
alkej-1008	133	5	produces	produce	VERB
alkej-1008	133	6	a	a	DET
alkej-1008	133	7	starting	start	VERB
alkej-1008	133	8	population	population	NOUN
alkej-1008	133	9	of	of	ADP
alkej-1008	133	10	chromosomes	chromosome	NOUN
alkej-1008	133	11	or	or	CCONJ
alkej-1008	133	12	possible	possible	ADJ
alkej-1008	133	13	solutions	solution	NOUN
alkej-1008	133	14	.	.	PUNCT
alkej-1008	134	1	a	a	DET
alkej-1008	134	2	possible	possible	ADJ
alkej-1008	134	3	set	set	NOUN
alkej-1008	134	4	of	of	ADP
alkej-1008	134	5	characteristics	characteristic	NOUN
alkej-1008	134	6	for	for	ADP
alkej-1008	134	7	phishing	phishe	VERB
alkej-1008	134	8	website	website	NOUN
alkej-1008	134	9	detection	detection	NOUN
alkej-1008	134	10	is	be	AUX
alkej-1008	134	11	represented	represent	VERB
alkej-1008	134	12	by	by	ADP
alkej-1008	134	13	each	each	DET
alkej-1008	134	14	chromosome	chromosome	NOUN
alkej-1008	134	15	.	.	PUNCT
alkej-1008	135	1	3.7.2	3.7.2	NUM
alkej-1008	135	2	.	.	PUNCT
alkej-1008	135	3	fitness	fitness	NOUN
alkej-1008	135	4	function	function	PROPN
alkej-1008	135	5	fitness	fitness	NOUN
alkej-1008	135	6	function	function	NOUN
alkej-1008	135	7	refers	refer	VERB
alkej-1008	135	8	to	to	ADP
alkej-1008	135	9	a	a	DET
alkej-1008	135	10	measure	measure	NOUN
alkej-1008	135	11	that	that	PRON
alkej-1008	135	12	evaluates	evaluate	VERB
alkej-1008	135	13	the	the	DET
alkej-1008	135	14	quality	quality	NOUN
alkej-1008	135	15	or	or	CCONJ
alkej-1008	135	16	‘	'	PUNCT
alkej-1008	135	17	fitness	fitness	NOUN
alkej-1008	135	18	’	'	PUNCT
alkej-1008	135	19	of	of	ADP
alkej-1008	135	20	solutions	solution	NOUN
alkej-1008	135	21	within	within	ADP
alkej-1008	135	22	a	a	DET
alkej-1008	135	23	given	give	VERB
alkej-1008	135	24	space	space	NOUN
alkej-1008	135	25	,	,	PUNCT
alkej-1008	135	26	determining	determine	VERB
alkej-1008	135	27	how	how	SCONJ
alkej-1008	135	28	effectively	effectively	ADV
alkej-1008	135	29	they	they	PRON
alkej-1008	135	30	address	address	VERB
alkej-1008	135	31	the	the	DET
alkej-1008	135	32	problem	problem	NOUN
alkej-1008	135	33	.	.	PUNCT
alkej-1008	136	1	it	it	PRON
alkej-1008	136	2	assigns	assign	VERB
alkej-1008	136	3	a	a	DET
alkej-1008	136	4	fitness	fitness	NOUN
alkej-1008	136	5	score	score	NOUN
alkej-1008	136	6	based	base	VERB
alkej-1008	136	7	on	on	ADP
alkej-1008	136	8	the	the	DET
alkej-1008	136	9	solution	solution	NOUN
alkej-1008	136	10	’s	’s	PART
alkej-1008	136	11	ability	ability	NOUN
alkej-1008	136	12	to	to	PART
alkej-1008	136	13	meet	meet	VERB
alkej-1008	136	14	the	the	DET
alkej-1008	136	15	problem	problem	NOUN
alkej-1008	136	16	’s	’s	PART
alkej-1008	136	17	objectives	objective	NOUN
alkej-1008	136	18	,	,	PUNCT
alkej-1008	136	19	guiding	guide	VERB
alkej-1008	136	20	the	the	DET
alkej-1008	136	21	evolutionary	evolutionary	ADJ
alkej-1008	136	22	process	process	NOUN
alkej-1008	136	23	.	.	PUNCT
alkej-1008	137	1	solutions	solution	NOUN
alkej-1008	137	2	with	with	ADP
alkej-1008	137	3	higher	high	ADJ
alkej-1008	137	4	fitness	fitness	NOUN
alkej-1008	137	5	scores	score	NOUN
alkej-1008	137	6	tend	tend	VERB
alkej-1008	137	7	to	to	PART
alkej-1008	137	8	be	be	AUX
alkej-1008	137	9	selected	select	VERB
alkej-1008	137	10	for	for	ADP
alkej-1008	137	11	reproduction	reproduction	NOUN
alkej-1008	137	12	and	and	CCONJ
alkej-1008	137	13	carried	carry	VERB
alkej-1008	137	14	forward	forward	ADV
alkej-1008	137	15	to	to	ADP
alkej-1008	137	16	subsequent	subsequent	ADJ
alkej-1008	137	17	generations	generation	NOUN
alkej-1008	138	1	[	[	X
alkej-1008	138	2	41	41	NUM
alkej-1008	138	3	]	]	PUNCT
alkej-1008	138	4	.	.	PUNCT
alkej-1008	139	1	3.7.3	3.7.3	X
alkej-1008	139	2	.	.	PUNCT
alkej-1008	139	3	selection	selection	NOUN
alkej-1008	139	4	selection	selection	NOUN
alkej-1008	139	5	is	be	AUX
alkej-1008	139	6	a	a	DET
alkej-1008	139	7	crucial	crucial	ADJ
alkej-1008	139	8	phase	phase	NOUN
alkej-1008	139	9	of	of	ADP
alkej-1008	139	10	genetic	genetic	ADJ
alkej-1008	139	11	algorithms	algorithm	NOUN
alkej-1008	139	12	because	because	SCONJ
alkej-1008	139	13	it	it	PRON
alkej-1008	139	14	defines	define	VERB
alkej-1008	139	15	which	which	DET
alkej-1008	139	16	strings	string	NOUN
alkej-1008	139	17	will	will	AUX
alkej-1008	139	18	be	be	AUX
alkej-1008	139	19	involved	involve	VERB
alkej-1008	139	20	in	in	ADP
alkej-1008	139	21	reproduction	reproduction	NOUN
alkej-1008	139	22	.	.	PUNCT
alkej-1008	140	1	it	it	PRON
alkej-1008	140	2	is	be	AUX
alkej-1008	140	3	also	also	ADV
alkej-1008	140	4	known	know	VERB
alkej-1008	140	5	as	as	ADP
alkej-1008	140	6	the	the	DET
alkej-1008	140	7	reproduction	reproduction	NOUN
alkej-1008	140	8	operator	operator	NOUN
alkej-1008	140	9	.	.	PUNCT
alkej-1008	141	1	selection	selection	NOUN
alkej-1008	141	2	pressure	pressure	NOUN
alkej-1008	141	3	influences	influence	VERB
alkej-1008	141	4	the	the	DET
alkej-1008	141	5	convergence	convergence	NOUN
alkej-1008	141	6	rate	rate	NOUN
alkej-1008	141	7	of	of	ADP
alkej-1008	141	8	ga	ga	PROPN
alkej-1008	141	9	.	.	PUNCT
alkej-1008	142	1	some	some	PRON
alkej-1008	142	2	of	of	ADP
alkej-1008	142	3	the	the	DET
alkej-1008	142	4	methods	method	NOUN
alkej-1008	142	5	used	use	VERB
alkej-1008	142	6	are	be	AUX
alkej-1008	142	7	roulette	roulette	NOUN
alkej-1008	142	8	wheel	wheel	NOUN
alkej-1008	142	9	,	,	PUNCT
alkej-1008	142	10	rank	rank	NOUN
alkej-1008	142	11	,	,	PUNCT
alkej-1008	142	12	tournament	tournament	NOUN
alkej-1008	142	13	,	,	PUNCT
alkej-1008	142	14	boltzmann	boltzmann	NOUN
alkej-1008	142	15	and	and	CCONJ
alkej-1008	142	16	stochastic	stochastic	ADJ
alkej-1008	142	17	universal	universal	ADJ
alkej-1008	142	18	sampling	sampling	NOUN
alkej-1008	142	19	[	[	X
alkej-1008	142	20	42	42	NUM
alkej-1008	142	21	]	]	PUNCT
alkej-1008	142	22	.	.	PUNCT
alkej-1008	143	1	3.7.4	3.7.4	NUM
alkej-1008	143	2	.	.	PUNCT
alkej-1008	144	1	crossover	crossover	NOUN
alkej-1008	144	2	operators	operator	NOUN
alkej-1008	144	3	are	be	AUX
alkej-1008	144	4	utilised	utilise	VERB
alkej-1008	144	5	to	to	PART
alkej-1008	144	6	generate	generate	VERB
alkej-1008	144	7	children	child	NOUN
alkej-1008	144	8	by	by	ADP
alkej-1008	144	9	using	use	VERB
alkej-1008	144	10	the	the	DET
alkej-1008	144	11	genetic	genetic	ADJ
alkej-1008	144	12	data	datum	NOUN
alkej-1008	144	13	of	of	ADP
alkej-1008	144	14	two	two	NUM
alkej-1008	144	15	or	or	CCONJ
alkej-1008	144	16	more	more	ADJ
alkej-1008	144	17	parents	parent	NOUN
alkej-1008	144	18	.	.	PUNCT
alkej-1008	145	1	the	the	DET
alkej-1008	145	2	frequently	frequently	ADV
alkej-1008	145	3	used	use	VERB
alkej-1008	145	4	crossover	crossover	NOUN
alkej-1008	145	5	operators	operator	NOUN
alkej-1008	145	6	are	be	AUX
alkej-1008	145	7	single	single	ADJ
alkej-1008	145	8	-	-	PUNCT
alkej-1008	145	9	point	point	NOUN
alkej-1008	145	10	crossover	crossover	NOUN
alkej-1008	145	11	,	,	PUNCT
alkej-1008	145	12	two	two	NUM
alkej-1008	145	13	-	-	PUNCT
alkej-1008	145	14	point	point	NOUN
alkej-1008	145	15	crossover	crossover	NOUN
alkej-1008	145	16	,	,	PUNCT
alkej-1008	145	17	k	k	NOUN
alkej-1008	145	18	-	-	PUNCT
alkej-1008	145	19	point	point	NOUN
alkej-1008	145	20	crossover	crossover	NOUN
alkej-1008	145	21	and	and	CCONJ
alkej-1008	145	22	uniform	uniform	ADJ
alkej-1008	145	23	crossover	crossover	NOUN
alkej-1008	145	24	.	.	PUNCT
alkej-1008	146	1	some	some	DET
alkej-1008	146	2	common	common	ADJ
alkej-1008	146	3	types	type	NOUN
alkej-1008	146	4	of	of	ADP
alkej-1008	146	5	crossover	crossover	NOUN
alkej-1008	146	6	techniques	technique	NOUN
alkej-1008	146	7	used	use	VERB
alkej-1008	146	8	in	in	ADP
alkej-1008	146	9	genetic	genetic	ADJ
alkej-1008	146	10	algorithms	algorithm	NOUN
alkej-1008	146	11	include	include	VERB
alkej-1008	146	12	partially	partially	ADV
alkej-1008	146	13	matched	match	VERB
alkej-1008	146	14	crossover	crossover	NOUN
alkej-1008	146	15	,	,	PUNCT
alkej-1008	146	16	order	order	NOUN
alkej-1008	146	17	crossover	crossover	NOUN
alkej-1008	146	18	,	,	PUNCT
alkej-1008	146	19	precedence	precedence	NOUN
alkej-1008	146	20	-	-	PUNCT
alkej-1008	146	21	preserving	preserve	VERB
alkej-1008	146	22	crossover	crossover	NOUN
alkej-1008	146	23	,	,	PUNCT
alkej-1008	146	24	shuffle	shuffle	NOUN
alkej-1008	146	25	crossover	crossover	NOUN
alkej-1008	146	26	,	,	PUNCT
alkej-1008	146	27	reduced	reduce	VERB
alkej-1008	146	28	surrogate	surrogate	ADJ
alkej-1008	146	29	crossover	crossover	NOUN
alkej-1008	146	30	and	and	CCONJ
alkej-1008	146	31	cycle	cycle	NOUN
alkej-1008	146	32	crossover	crossover	NOUN
alkej-1008	146	33	[	[	X
alkej-1008	146	34	43	43	NUM
alkej-1008	146	35	]	]	PUNCT
alkej-1008	146	36	.	.	PUNCT
alkej-1008	147	1	3.7.5	3.7.5	X
alkej-1008	147	2	.	.	PUNCT
alkej-1008	148	1	mutation	mutation	NOUN
alkej-1008	148	2	in	in	ADP
alkej-1008	148	3	genetic	genetic	ADJ
alkej-1008	148	4	algorithms	algorithm	NOUN
alkej-1008	148	5	,	,	PUNCT
alkej-1008	148	6	mutation	mutation	NOUN
alkej-1008	148	7	is	be	AUX
alkej-1008	148	8	a	a	DET
alkej-1008	148	9	key	key	ADJ
alkej-1008	148	10	genetic	genetic	ADJ
alkej-1008	148	11	operator	operator	NOUN
alkej-1008	148	12	used	use	VERB
alkej-1008	148	13	to	to	PART
alkej-1008	148	14	maintain	maintain	VERB
alkej-1008	148	15	genetic	genetic	ADJ
alkej-1008	148	16	diversity	diversity	NOUN
alkej-1008	148	17	from	from	ADP
alkej-1008	148	18	one	one	NUM
alkej-1008	148	19	generation	generation	NOUN
alkej-1008	148	20	to	to	ADP
alkej-1008	148	21	the	the	DET
alkej-1008	148	22	next	next	ADJ
alkej-1008	148	23	.	.	PUNCT
alkej-1008	149	1	it	it	PRON
alkej-1008	149	2	introduces	introduce	VERB
alkej-1008	149	3	small	small	ADJ
alkej-1008	149	4	,	,	PUNCT
alkej-1008	149	5	random	random	ADJ
alkej-1008	149	6	changes	change	NOUN
alkej-1008	149	7	to	to	ADP
alkej-1008	149	8	individual	individual	ADJ
alkej-1008	149	9	solutions	solution	NOUN
alkej-1008	149	10	(	(	PUNCT
alkej-1008	149	11	chromosomes	chromosome	NOUN
alkej-1008	149	12	)	)	PUNCT
alkej-1008	149	13	in	in	ADP
alkej-1008	149	14	the	the	DET
alkej-1008	149	15	population	population	NOUN
alkej-1008	149	16	.	.	PUNCT
alkej-1008	150	1	this	this	DET
alkej-1008	150	2	step	step	NOUN
alkej-1008	150	3	helps	help	VERB
alkej-1008	150	4	the	the	DET
alkej-1008	150	5	algorithm	algorithm	NOUN
alkej-1008	150	6	avoid	avoid	VERB
alkej-1008	150	7	premature	premature	ADJ
alkej-1008	150	8	convergence	convergence	NOUN
alkej-1008	150	9	to	to	ADP
alkej-1008	150	10	suboptimal	suboptimal	ADJ
alkej-1008	150	11	solutions	solution	NOUN
alkej-1008	150	12	by	by	ADP
alkej-1008	150	13	exploring	explore	VERB
alkej-1008	150	14	new	new	ADJ
alkej-1008	150	15	areas	area	NOUN
alkej-1008	150	16	in	in	ADP
alkej-1008	150	17	the	the	DET
alkej-1008	150	18	search	search	NOUN
alkej-1008	150	19	space	space	NOUN
alkej-1008	150	20	[	[	X
alkej-1008	150	21	42	42	NUM
alkej-1008	150	22	]	]	PUNCT
alkej-1008	150	23	.	.	PUNCT
alkej-1008	151	1	3.7.6	3.7.6	NUM
alkej-1008	151	2	.	.	PUNCT
alkej-1008	152	1	replacement	replacement	NOUN
alkej-1008	152	2	replacement	replacement	NOUN
alkej-1008	152	3	is	be	AUX
alkej-1008	152	4	the	the	DET
alkej-1008	152	5	process	process	NOUN
alkej-1008	152	6	of	of	ADP
alkej-1008	152	7	changing	change	VERB
alkej-1008	152	8	the	the	DET
alkej-1008	152	9	old	old	ADJ
alkej-1008	152	10	one	one	NOUN
alkej-1008	152	11	with	with	ADP
alkej-1008	152	12	new	new	ADJ
alkej-1008	152	13	offspring	offspring	NOUN
alkej-1008	152	14	population	population	NOUN
alkej-1008	152	15	.	.	PUNCT
alkej-1008	153	1	when	when	SCONJ
alkej-1008	153	2	the	the	DET
alkej-1008	153	3	population	population	NOUN
alkej-1008	153	4	has	have	AUX
alkej-1008	153	5	been	be	AUX
alkej-1008	153	6	updated	update	VERB
alkej-1008	153	7	,	,	PUNCT
alkej-1008	153	8	the	the	DET
alkej-1008	153	9	cycle	cycle	NOUN
alkej-1008	153	10	is	be	AUX
alkej-1008	153	11	repeated	repeat	VERB
alkej-1008	153	12	now	now	ADV
alkej-1008	153	13	[	[	X
alkej-1008	153	14	42	42	NUM
alkej-1008	153	15	]	]	PUNCT
alkej-1008	153	16	.	.	PUNCT
alkej-1008	154	1	3.7.7	3.7.7	X
alkej-1008	154	2	.	.	PUNCT
alkej-1008	154	3	termination	termination	NOUN
alkej-1008	154	4	termination	termination	NOUN
alkej-1008	154	5	is	be	AUX
alkej-1008	154	6	a	a	DET
alkej-1008	154	7	process	process	NOUN
alkej-1008	154	8	of	of	ADP
alkej-1008	154	9	continuing	continue	VERB
alkej-1008	154	10	to	to	PART
alkej-1008	154	11	select	select	VERB
alkej-1008	154	12	,	,	PUNCT
alkej-1008	154	13	crossover	crossover	NOUN
alkej-1008	154	14	and	and	CCONJ
alkej-1008	154	15	mute	mute	VERB
alkej-1008	154	16	these	these	DET
alkej-1008	154	17	sets	set	NOUN
alkej-1008	154	18	until	until	SCONJ
alkej-1008	154	19	the	the	DET
alkej-1008	154	20	convergence	convergence	NOUN
alkej-1008	154	21	requirements	requirement	NOUN
alkej-1008	154	22	(	(	PUNCT
alkej-1008	154	23	e.g.	e.g.	ADV
alkej-1008	154	24	,	,	PUNCT
alkej-1008	154	25	to	to	PART
alkej-1008	154	26	achieve	achieve	VERB
alkej-1008	154	27	a	a	DET
alkej-1008	154	28	particular	particular	ADJ
alkej-1008	154	29	fitness	fitness	NOUN
alkej-1008	154	30	level	level	NOUN
alkej-1008	154	31	or	or	CCONJ
alkej-1008	154	32	for	for	ADP
alkej-1008	154	33	a	a	DET
alkej-1008	154	34	fixed	fix	VERB
alkej-1008	154	35	number	number	NOUN
alkej-1008	154	36	of	of	ADP
alkej-1008	154	37	generations	generation	NOUN
alkej-1008	154	38	)	)	PUNCT
alkej-1008	154	39	are	be	AUX
alkej-1008	154	40	satisfied	satisfied	ADJ
alkej-1008	154	41	[	[	X
alkej-1008	154	42	43	43	NUM
alkej-1008	154	43	]	]	PUNCT
alkej-1008	154	44	.	.	PUNCT
alkej-1008	155	1	3.8	3.8	NUM
alkej-1008	155	2	.	.	PUNCT
alkej-1008	156	1	k	k	X
alkej-1008	156	2	-	-	PUNCT
alkej-1008	156	3	means	mean	VERB
alkej-1008	156	4	k	k	NOUN
alkej-1008	156	5	-	-	PUNCT
alkej-1008	156	6	means	means	NOUN
alkej-1008	156	7	is	be	AUX
alkej-1008	156	8	one	one	NUM
alkej-1008	156	9	amongst	amongst	ADP
alkej-1008	156	10	the	the	DET
alkej-1008	156	11	simplest	simple	ADJ
alkej-1008	156	12	unsupervised	unsupervised	ADJ
alkej-1008	156	13	learning	learning	NOUN
alkej-1008	156	14	algorithms	algorithm	NOUN
alkej-1008	156	15	used	use	VERB
alkej-1008	156	16	to	to	PART
alkej-1008	156	17	solve	solve	VERB
alkej-1008	156	18	clustering	clustering	ADJ
alkej-1008	156	19	problems	problem	NOUN
alkej-1008	156	20	.	.	PUNCT
alkej-1008	157	1	the	the	DET
alkej-1008	157	2	procedure	procedure	NOUN
alkej-1008	157	3	here	here	ADV
alkej-1008	157	4	involves	involve	VERB
alkej-1008	157	5	an	an	DET
alkej-1008	157	6	easy	easy	ADJ
alkej-1008	157	7	and	and	CCONJ
alkej-1008	157	8	simple	simple	ADJ
alkej-1008	157	9	process	process	NOUN
alkej-1008	157	10	of	of	ADP
alkej-1008	157	11	factoring	factor	VERB
alkej-1008	157	12	a	a	DET
alkej-1008	157	13	given	give	VERB
alkej-1008	157	14	dataset	dataset	NOUN
alkej-1008	157	15	through	through	ADP
alkej-1008	157	16	a	a	DET
alkej-1008	157	17	certain	certain	ADJ
alkej-1008	157	18	number	number	NOUN
alkej-1008	157	19	of	of	ADP
alkej-1008	157	20	clusters	cluster	NOUN
alkej-1008	157	21	.	.	PUNCT
alkej-1008	158	1	the	the	DET
alkej-1008	158	2	concept	concept	NOUN
alkej-1008	158	3	is	be	AUX
alkej-1008	158	4	to	to	PART
alkej-1008	158	5	determine	determine	VERB
alkej-1008	158	6	k	k	PROPN
alkej-1008	158	7	centres	centre	NOUN
alkej-1008	158	8	,	,	PUNCT
alkej-1008	158	9	in	in	ADP
alkej-1008	158	10	which	which	PRON
alkej-1008	158	11	one	one	NOUN
alkej-1008	158	12	is	be	AUX
alkej-1008	158	13	found	find	VERB
alkej-1008	158	14	for	for	ADP
alkej-1008	158	15	each	each	DET
alkej-1008	158	16	cluster	cluster	NOUN
alkej-1008	158	17	of	of	ADP
alkej-1008	158	18	the	the	DET
alkej-1008	158	19	dataset	dataset	NOUN
alkej-1008	158	20	.	.	PUNCT
alkej-1008	159	1	these	these	DET
alkej-1008	159	2	centres	centre	NOUN
alkej-1008	159	3	should	should	AUX
alkej-1008	159	4	be	be	AUX
alkej-1008	159	5	placed	place	VERB
alkej-1008	159	6	cunningly	cunningly	ADV
alkej-1008	159	7	because	because	SCONJ
alkej-1008	159	8	a	a	DET
alkej-1008	159	9	different	different	ADJ
alkej-1008	159	10	location	location	NOUN
alkej-1008	159	11	brings	bring	VERB
alkej-1008	159	12	a	a	DET
alkej-1008	159	13	different	different	ADJ
alkej-1008	159	14	outcome	outcome	NOUN
alkej-1008	159	15	.	.	PUNCT
alkej-1008	160	1	thus	thus	ADV
alkej-1008	160	2	,	,	PUNCT
alkej-1008	160	3	individually	individually	ADV
alkej-1008	160	4	keeping	keep	VERB
alkej-1008	160	5	the	the	DET
alkej-1008	160	6	frequency	frequency	NOUN
alkej-1008	160	7	as	as	ADV
alkej-1008	160	8	much	much	ADV
alkej-1008	160	9	as	as	ADP
alkej-1008	160	10	possible	possible	ADJ
alkej-1008	160	11	at	at	ADP
alkej-1008	160	12	a	a	DET
alkej-1008	160	13	distance	distance	NOUN
alkej-1008	160	14	from	from	ADP
alkej-1008	160	15	others	other	NOUN
alkej-1008	160	16	is	be	AUX
alkej-1008	160	17	a	a	DET
alkej-1008	160	18	wise	wise	ADJ
alkej-1008	160	19	move	move	NOUN
alkej-1008	160	20	[	[	X
alkej-1008	160	21	44	44	NUM
alkej-1008	160	22	]	]	PUNCT
alkej-1008	160	23	.	.	PUNCT
alkej-1008	161	1	3.8.1	3.8.1	X
alkej-1008	161	2	.	.	PUNCT
alkej-1008	161	3	elbow	elbow	AUX
alkej-1008	161	4	method	method	VERB
alkej-1008	161	5	the	the	DET
alkej-1008	161	6	earliest	early	ADJ
alkej-1008	161	7	approach	approach	NOUN
alkej-1008	161	8	that	that	PRON
alkej-1008	161	9	has	have	AUX
alkej-1008	161	10	ever	ever	ADV
alkej-1008	161	11	existed	exist	VERB
alkej-1008	161	12	is	be	AUX
alkej-1008	161	13	commonly	commonly	ADV
alkej-1008	161	14	referred	refer	VERB
alkej-1008	161	15	to	to	ADP
alkej-1008	161	16	as	as	ADP
alkej-1008	161	17	the	the	DET
alkej-1008	161	18	elbow	elbow	NOUN
alkej-1008	161	19	method	method	NOUN
alkej-1008	161	20	.	.	PUNCT
alkej-1008	162	1	it	it	PRON
alkej-1008	162	2	operates	operate	VERB
alkej-1008	162	3	by	by	ADP
alkej-1008	162	4	evaluating	evaluate	VERB
alkej-1008	162	5	the	the	DET
alkej-1008	162	6	value	value	NOUN
alkej-1008	162	7	or	or	CCONJ
alkej-1008	162	8	percentage	percentage	NOUN
alkej-1008	162	9	of	of	ADP
alkej-1008	162	10	a	a	DET
alkej-1008	162	11	tested	test	VERB
alkej-1008	162	12	variable	variable	NOUN
alkej-1008	162	13	k	k	PROPN
alkej-1008	162	14	and	and	CCONJ
alkej-1008	162	15	establishing	establish	VERB
alkej-1008	162	16	an	an	DET
alkej-1008	162	17	elbow	elbow	NOUN
alkej-1008	162	18	at	at	ADP
alkej-1008	162	19	a	a	DET
alkej-1008	162	20	specific	specific	ADJ
alkej-1008	162	21	point	point	NOUN
alkej-1008	162	22	.	.	PUNCT
alkej-1008	163	1	the	the	DET
alkej-1008	163	2	value	value	NOUN
alkej-1008	163	3	of	of	ADP
alkej-1008	163	4	k	k	PROPN
alkej-1008	163	5	in	in	ADP
alkej-1008	163	6	a	a	DET
alkej-1008	163	7	combination	combination	NOUN
alkej-1008	163	8	of	of	ADP
alkej-1008	163	9	elbows	elbow	NOUN
alkej-1008	163	10	with	with	ADP
alkej-1008	163	11	k	k	NOUN
alkej-1008	163	12	-	-	PUNCT
alkej-1008	163	13	means	means	NOUN
alkej-1008	163	14	represents	represent	VERB
alkej-1008	163	15	a	a	DET
alkej-1008	163	16	graph	graph	NOUN
alkej-1008	163	17	displaying	display	VERB
alkej-1008	163	18	cluster	cluster	NOUN
alkej-1008	163	19	relationships	relationship	NOUN
alkej-1008	163	20	with	with	ADP
alkej-1008	163	21	reducing	reduce	VERB
alkej-1008	163	22	errors	error	NOUN
alkej-1008	163	23	.	.	PUNCT
alkej-1008	164	1	increasing	increase	VERB
alkej-1008	164	2	the	the	DET
alkej-1008	164	3	k	k	PROPN
alkej-1008	164	4	value	value	NOUN
alkej-1008	164	5	causes	cause	VERB
alkej-1008	164	6	the	the	DET
alkej-1008	164	7	graph	graph	NOUN
alkej-1008	164	8	to	to	PART
alkej-1008	164	9	decrease	decrease	VERB
alkej-1008	164	10	slowly	slowly	ADV
alkej-1008	164	11	until	until	SCONJ
alkej-1008	164	12	the	the	DET
alkej-1008	164	13	k	k	PROPN
alkej-1008	164	14	value	value	NOUN
alkej-1008	164	15	is	be	AUX
alkej-1008	164	16	stable	stable	ADJ
alkej-1008	164	17	[	[	X
alkej-1008	164	18	25	25	NUM
alkej-1008	164	19	]	]	PUNCT
alkej-1008	164	20	.	.	PUNCT
alkej-1008	165	1	this	this	DET
alkej-1008	165	2	method	method	NOUN
alkej-1008	165	3	works	work	VERB
alkej-1008	165	4	by	by	ADP
alkej-1008	165	5	evaluating	evaluate	VERB
alkej-1008	165	6	the	the	DET
alkej-1008	165	7	withincluster	withincluster	ADJ
alkej-1008	165	8	sum	sum	NOUN
alkej-1008	165	9	of	of	ADP
alkej-1008	165	10	squares	square	NOUN
alkej-1008	165	11	(	(	PUNCT
alkej-1008	165	12	wcss	wcss	ADJ
alkej-1008	165	13	)	)	PUNCT
alkej-1008	165	14	for	for	ADP
alkej-1008	165	15	different	different	ADJ
alkej-1008	165	16	values	value	NOUN
alkej-1008	165	17	of	of	ADP
alkej-1008	165	18	k.	k.	PROPN
alkej-1008	165	19	ali	ali	PROPN
alkej-1008	165	20	raheem	raheem	PROPN
alkej-1008	165	21	al	al	PROPN
alkej-1008	165	22	-	-	PROPN
alkej-1008	165	23	hafiz	hafiz	PROPN
alkej-1008	165	24	al	al	PROPN
alkej-1008	165	25	-	-	PUNCT
alkej-1008	165	26	khwarizmi	khwarizmi	PROPN
alkej-1008	165	27	engineering	engineering	NOUN
alkej-1008	165	28	journal	journal	PROPN
alkej-1008	165	29	,	,	PUNCT
alkej-1008	165	30	vol	vol	NOUN
alkej-1008	165	31	.	.	PROPN
alkej-1008	165	32	21	21	NUM
alkej-1008	165	33	,	,	PUNCT
alkej-1008	165	34	no.2	no.2	PROPN
alkej-1008	165	35	,	,	PUNCT
alkej-1008	165	36	pp	pp	ADJ
alkej-1008	165	37	.	.	PUNCT
alkej-1008	166	1	117	117	NUM
alkej-1008	166	2	-	-	SYM
alkej-1008	166	3	135	135	NUM
alkej-1008	166	4	(	(	PUNCT
alkej-1008	166	5	2025	2025	NUM
alkej-1008	166	6	)	)	PUNCT
alkej-1008	166	7	122	122	NUM
alkej-1008	166	8	(	(	PUNCT
alkej-1008	166	9	)	)	PUNCT
alkej-1008	166	10	1	1	NUM
alkej-1008	166	11	k	k	PROPN
alkej-1008	166	12	j	j	PROPN
alkej-1008	166	13	xi	xi	PROPN
alkej-1008	166	14	cj	cj	PROPN
alkej-1008	166	15	wcss	wcss	PROPN
alkej-1008	167	1	k	k	PROPN
alkej-1008	167	2	xi	xi	PROPN
alkej-1008	167	3	nj	nj	PROPN
alkej-1008	167	4	=	=	PUNCT
alkej-1008	168	1			NOUN
alkej-1008	168	2	=	=	PUNCT
alkej-1008	168	3	−	−	PROPN
alkej-1008	168	4	,	,	PUNCT
alkej-1008	168	5	…	…	PUNCT
alkej-1008	168	6	(	(	PUNCT
alkej-1008	168	7	1	1	NUM
alkej-1008	168	8	)	)	PUNCT
alkej-1008	168	9	3.8.2	3.8.2	NUM
alkej-1008	168	10	.	.	PUNCT
alkej-1008	168	11	silhouette	silhouette	NOUN
alkej-1008	168	12	silhouette	silhouette	NOUN
alkej-1008	168	13	is	be	AUX
alkej-1008	168	14	a	a	DET
alkej-1008	168	15	metric	metric	ADJ
alkej-1008	168	16	used	use	VERB
alkej-1008	168	17	to	to	PART
alkej-1008	168	18	evaluate	evaluate	VERB
alkej-1008	168	19	the	the	DET
alkej-1008	168	20	quality	quality	NOUN
alkej-1008	168	21	of	of	ADP
alkej-1008	168	22	clustering	clustering	NOUN
alkej-1008	168	23	within	within	ADP
alkej-1008	168	24	a	a	DET
alkej-1008	168	25	dataset	dataset	NOUN
alkej-1008	168	26	.	.	PUNCT
alkej-1008	169	1	it	it	PRON
alkej-1008	169	2	quantifies	quantify	VERB
alkej-1008	169	3	the	the	DET
alkej-1008	169	4	degree	degree	NOUN
alkej-1008	169	5	of	of	ADP
alkej-1008	169	6	similarity	similarity	NOUN
alkej-1008	169	7	between	between	ADP
alkej-1008	169	8	a	a	DET
alkej-1008	169	9	data	data	NOUN
alkej-1008	169	10	point	point	NOUN
alkej-1008	169	11	and	and	CCONJ
alkej-1008	169	12	its	its	PRON
alkej-1008	169	13	own	own	ADJ
alkej-1008	169	14	cluster	cluster	NOUN
alkej-1008	169	15	(	(	PUNCT
alkej-1008	169	16	cohesion	cohesion	NOUN
alkej-1008	169	17	)	)	PUNCT
alkej-1008	169	18	as	as	SCONJ
alkej-1008	169	19	opposed	oppose	VERB
alkej-1008	169	20	to	to	ADP
alkej-1008	169	21	other	other	ADJ
alkej-1008	169	22	clusters	cluster	NOUN
alkej-1008	169	23	(	(	PUNCT
alkej-1008	169	24	separation	separation	NOUN
alkej-1008	169	25	)	)	PUNCT
alkej-1008	169	26	.	.	PUNCT
alkej-1008	170	1	this	this	DET
alkej-1008	170	2	metric	metric	NOUN
alkej-1008	170	3	can	can	AUX
alkej-1008	170	4	be	be	AUX
alkej-1008	170	5	used	use	VERB
alkej-1008	170	6	to	to	PART
alkej-1008	170	7	decide	decide	VERB
alkej-1008	170	8	on	on	ADP
alkej-1008	170	9	the	the	DET
alkej-1008	170	10	number	number	NOUN
alkej-1008	170	11	of	of	ADP
alkej-1008	170	12	clusters	cluster	NOUN
alkej-1008	170	13	that	that	PRON
alkej-1008	170	14	should	should	AUX
alkej-1008	170	15	be	be	AUX
alkej-1008	170	16	formed	form	VERB
alkej-1008	170	17	[	[	X
alkej-1008	170	18	45	45	NUM
alkej-1008	170	19	]	]	PUNCT
alkej-1008	170	20	.	.	PUNCT
alkej-1008	171	1	the	the	DET
alkej-1008	171	2	silhouette	silhouette	NOUN
alkej-1008	171	3	formula	formula	NOUN
alkej-1008	171	4	is	be	AUX
alkej-1008	171	5	(	(	PUNCT
alkej-1008	171	6	)	)	PUNCT
alkej-1008	171	7	(	(	PUNCT
alkej-1008	171	8	)	)	PUNCT
alkej-1008	171	9	(	(	PUNCT
alkej-1008	171	10	)	)	PUNCT
alkej-1008	171	11	(	(	PUNCT
alkej-1008	171	12	)	)	PUNCT
alkej-1008	171	13	(	(	PUNCT
alkej-1008	171	14	)	)	PUNCT
alkej-1008	171	15	(	(	PUNCT
alkej-1008	171	16	)	)	PUNCT
alkej-1008	171	17	max	max	PROPN
alkej-1008	171	18	,	,	PUNCT
alkej-1008	171	19	b	b	X
alkej-1008	172	1	i	i	PRON
alkej-1008	172	2	a	a	VERB
alkej-1008	172	3	i	i	PRON
alkej-1008	172	4	s	s	VERB
alkej-1008	172	5	i	i	PRON
alkej-1008	172	6	a	a	PRON
alkej-1008	173	1	i	i	NOUN
alkej-1008	174	1	b	b	NOUN
alkej-1008	175	1	i	i	PRON
alkej-1008	175	2	−	−	PROPN
alkej-1008	176	1	=	=	SYM
alkej-1008	176	2	,	,	PUNCT
alkej-1008	176	3	…	…	PUNCT
alkej-1008	176	4	(	(	PUNCT
alkej-1008	176	5	2	2	NUM
alkej-1008	176	6	)	)	SYM
alkej-1008	176	7	4	4	NUM
alkej-1008	176	8	.	.	PUNCT
alkej-1008	176	9	proposed	propose	VERB
alkej-1008	176	10	model	model	NOUN
alkej-1008	176	11	a	a	DET
alkej-1008	176	12	new	new	ADJ
alkej-1008	176	13	hybrid	hybrid	NOUN
alkej-1008	176	14	approach	approach	NOUN
alkej-1008	176	15	is	be	AUX
alkej-1008	176	16	used	use	VERB
alkej-1008	176	17	in	in	ADP
alkej-1008	176	18	the	the	DET
alkej-1008	176	19	proposed	propose	VERB
alkej-1008	176	20	model	model	NOUN
alkej-1008	176	21	to	to	PART
alkej-1008	176	22	detect	detect	VERB
alkej-1008	176	23	phishing	phishe	VERB
alkej-1008	176	24	websites	website	NOUN
alkej-1008	176	25	.	.	PUNCT
alkej-1008	177	1	unsupervised	unsupervised	ADJ
alkej-1008	177	2	and	and	CCONJ
alkej-1008	177	3	supervised	supervised	ADJ
alkej-1008	177	4	learning	learning	NOUN
alkej-1008	177	5	techniques	technique	NOUN
alkej-1008	177	6	are	be	AUX
alkej-1008	177	7	combined	combine	VERB
alkej-1008	177	8	to	to	PART
alkej-1008	177	9	add	add	VERB
alkej-1008	177	10	accuracy	accuracy	NOUN
alkej-1008	177	11	and	and	CCONJ
alkej-1008	177	12	efficiency	efficiency	NOUN
alkej-1008	177	13	to	to	ADP
alkej-1008	177	14	the	the	DET
alkej-1008	177	15	process	process	NOUN
alkej-1008	177	16	.	.	PUNCT
alkej-1008	178	1	by	by	ADP
alkej-1008	178	2	combining	combine	VERB
alkej-1008	178	3	k	k	PROPN
alkej-1008	178	4	-	-	PUNCT
alkej-1008	178	5	means	means	NOUN
alkej-1008	178	6	clustering	cluster	VERB
alkej-1008	178	7	with	with	ADP
alkej-1008	178	8	a	a	DET
alkej-1008	178	9	ga	ga	NOUN
alkej-1008	178	10	,	,	PUNCT
alkej-1008	178	11	feature	feature	NOUN
alkej-1008	178	12	selection	selection	NOUN
alkej-1008	178	13	is	be	AUX
alkej-1008	178	14	optimised	optimise	VERB
alkej-1008	178	15	,	,	PUNCT
alkej-1008	178	16	which	which	PRON
alkej-1008	178	17	is	be	AUX
alkej-1008	178	18	considered	consider	VERB
alkej-1008	178	19	a	a	DET
alkej-1008	178	20	critical	critical	ADJ
alkej-1008	178	21	component	component	NOUN
alkej-1008	178	22	in	in	ADP
alkej-1008	178	23	improving	improve	VERB
alkej-1008	178	24	the	the	DET
alkej-1008	178	25	performance	performance	NOUN
alkej-1008	178	26	of	of	ADP
alkej-1008	178	27	machine	machine	NOUN
alkej-1008	178	28	learning	learn	VERB
alkej-1008	178	29	classification	classification	NOUN
alkej-1008	178	30	models	model	NOUN
alkej-1008	178	31	.	.	PUNCT
alkej-1008	179	1	this	this	DET
alkej-1008	179	2	hybrid	hybrid	ADJ
alkej-1008	179	3	method	method	NOUN
alkej-1008	179	4	allows	allow	VERB
alkej-1008	179	5	for	for	ADP
alkej-1008	179	6	a	a	DET
alkej-1008	179	7	refined	refined	ADJ
alkej-1008	179	8	analysis	analysis	NOUN
alkej-1008	179	9	of	of	ADP
alkej-1008	179	10	website	website	NOUN
alkej-1008	179	11	features	feature	NOUN
alkej-1008	179	12	,	,	PUNCT
alkej-1008	179	13	with	with	ADP
alkej-1008	179	14	redundancy	redundancy	NOUN
alkej-1008	179	15	reduced	reduce	VERB
alkej-1008	179	16	and	and	CCONJ
alkej-1008	179	17	the	the	DET
alkej-1008	179	18	dataset	dataset	NOUN
alkej-1008	179	19	partitioned	partition	VERB
alkej-1008	179	20	into	into	ADP
alkej-1008	179	21	parts	part	NOUN
alkej-1008	179	22	based	base	VERB
alkej-1008	179	23	on	on	ADP
alkej-1008	179	24	similarity	similarity	NOUN
alkej-1008	179	25	.	.	PUNCT
alkej-1008	180	1	in	in	ADP
alkej-1008	180	2	addition	addition	NOUN
alkej-1008	180	3	,	,	PUNCT
alkej-1008	180	4	the	the	DET
alkej-1008	180	5	best	good	ADJ
alkej-1008	180	6	feature	feature	NOUN
alkej-1008	180	7	set	set	NOUN
alkej-1008	180	8	is	be	AUX
alkej-1008	180	9	selected	select	VERB
alkej-1008	180	10	for	for	ADP
alkej-1008	180	11	each	each	DET
alkej-1008	180	12	resulting	result	VERB
alkej-1008	180	13	cluster	cluster	NOUN
alkej-1008	180	14	through	through	ADP
alkej-1008	180	15	the	the	DET
alkej-1008	180	16	ga	ga	PROPN
alkej-1008	180	17	algorithm	algorithm	NOUN
alkej-1008	180	18	to	to	PART
alkej-1008	180	19	enhance	enhance	VERB
alkej-1008	180	20	classifier	classifier	NOUN
alkej-1008	180	21	performance	performance	NOUN
alkej-1008	180	22	,	,	PUNCT
alkej-1008	180	23	thereby	thereby	ADV
alkej-1008	180	24	enabling	enable	VERB
alkej-1008	180	25	the	the	DET
alkej-1008	180	26	voting	voting	NOUN
alkej-1008	180	27	model	model	NOUN
alkej-1008	180	28	to	to	PART
alkej-1008	180	29	better	well	ADV
alkej-1008	180	30	differentiate	differentiate	VERB
alkej-1008	180	31	between	between	ADP
alkej-1008	180	32	phishing	phishe	VERB
alkej-1008	180	33	and	and	CCONJ
alkej-1008	180	34	legitimate	legitimate	ADJ
alkej-1008	180	35	sites	site	NOUN
alkej-1008	180	36	.	.	PUNCT
alkej-1008	181	1	the	the	DET
alkej-1008	181	2	section	section	NOUN
alkej-1008	181	3	below	below	ADP
alkej-1008	181	4	displays	display	VERB
alkej-1008	181	5	a	a	DET
alkej-1008	181	6	detailed	detailed	ADJ
alkej-1008	181	7	breakdown	breakdown	NOUN
alkej-1008	181	8	of	of	ADP
alkej-1008	181	9	the	the	DET
alkej-1008	181	10	model	model	NOUN
alkej-1008	181	11	’s	’s	PART
alkej-1008	181	12	workflow	workflow	NOUN
alkej-1008	181	13	represented	represent	VERB
alkej-1008	181	14	in	in	ADP
alkej-1008	181	15	three	three	NUM
alkej-1008	181	16	distinct	distinct	ADJ
alkej-1008	181	17	phases	phase	NOUN
alkej-1008	181	18	,	,	PUNCT
alkej-1008	181	19	as	as	SCONJ
alkej-1008	181	20	shown	show	VERB
alkej-1008	181	21	in	in	ADP
alkej-1008	181	22	fig	fig	NOUN
alkej-1008	181	23	.	.	PUNCT
alkej-1008	182	1	1	1	X
alkej-1008	182	2	.	.	X
alkej-1008	182	3	in	in	ADP
alkej-1008	182	4	phase	phase	NOUN
alkej-1008	182	5	1	1	NUM
alkej-1008	182	6	,	,	PUNCT
alkej-1008	182	7	the	the	DET
alkej-1008	182	8	process	process	NOUN
alkej-1008	182	9	is	be	AUX
alkej-1008	182	10	initiated	initiate	VERB
alkej-1008	182	11	with	with	ADP
alkej-1008	182	12	the	the	DET
alkej-1008	182	13	loading	loading	NOUN
alkej-1008	182	14	and	and	CCONJ
alkej-1008	182	15	preprocessing	preprocessing	NOUN
alkej-1008	182	16	of	of	ADP
alkej-1008	182	17	the	the	DET
alkej-1008	182	18	dataset	dataset	NOUN
alkej-1008	182	19	to	to	PART
alkej-1008	182	20	ensure	ensure	VERB
alkej-1008	182	21	preparedness	preparedness	NOUN
alkej-1008	182	22	for	for	ADP
alkej-1008	182	23	analysis	analysis	NOUN
alkej-1008	182	24	.	.	PUNCT
alkej-1008	183	1	from	from	ADP
alkej-1008	183	2	this	this	DET
alkej-1008	183	3	step	step	NOUN
alkej-1008	183	4	,	,	PUNCT
alkej-1008	183	5	an	an	DET
alkej-1008	183	6	initial	initial	ADJ
alkej-1008	183	7	population	population	NOUN
alkej-1008	183	8	of	of	ADP
alkej-1008	183	9	feature	feature	NOUN
alkej-1008	183	10	subsets	subset	NOUN
alkej-1008	183	11	is	be	AUX
alkej-1008	183	12	generated	generate	VERB
alkej-1008	183	13	.	.	PUNCT
alkej-1008	184	1	these	these	DET
alkej-1008	184	2	feature	feature	NOUN
alkej-1008	184	3	subsets	subset	NOUN
alkej-1008	184	4	are	be	AUX
alkej-1008	184	5	subjected	subject	VERB
alkej-1008	184	6	to	to	ADP
alkej-1008	184	7	unsupervised	unsupervised	ADJ
alkej-1008	184	8	learning	learning	NOUN
alkej-1008	184	9	,	,	PUNCT
alkej-1008	184	10	and	and	CCONJ
alkej-1008	184	11	k	k	X
alkej-1008	184	12	-	-	PUNCT
alkej-1008	184	13	means	mean	VERB
alkej-1008	184	14	clustering	clustering	NOUN
alkej-1008	184	15	is	be	AUX
alkej-1008	184	16	applied	apply	VERB
alkej-1008	184	17	to	to	ADP
alkej-1008	184	18	group	group	NOUN
alkej-1008	184	19	dataset	dataset	NOUN
alkej-1008	184	20	samples	sample	NOUN
alkej-1008	184	21	based	base	VERB
alkej-1008	184	22	on	on	ADP
alkej-1008	184	23	similarity	similarity	NOUN
alkej-1008	184	24	using	use	VERB
alkej-1008	184	25	a	a	DET
alkej-1008	184	26	chosen	choose	VERB
alkej-1008	184	27	feature	feature	NOUN
alkej-1008	184	28	subset	subset	NOUN
alkej-1008	184	29	.	.	PUNCT
alkej-1008	185	1	the	the	DET
alkej-1008	185	2	quality	quality	NOUN
alkej-1008	185	3	of	of	ADP
alkej-1008	185	4	the	the	DET
alkej-1008	185	5	clustering	clustering	NOUN
alkej-1008	185	6	is	be	AUX
alkej-1008	185	7	evaluated	evaluate	VERB
alkej-1008	185	8	using	use	VERB
alkej-1008	185	9	the	the	DET
alkej-1008	185	10	silhouette	silhouette	NOUN
alkej-1008	185	11	fitness	fitness	NOUN
alkej-1008	185	12	function	function	NOUN
alkej-1008	185	13	,	,	PUNCT
alkej-1008	185	14	allowing	allow	VERB
alkej-1008	185	15	the	the	DET
alkej-1008	185	16	performance	performance	NOUN
alkej-1008	185	17	of	of	ADP
alkej-1008	185	18	each	each	DET
alkej-1008	185	19	feature	feature	NOUN
alkej-1008	185	20	subset	subset	VERB
alkej-1008	185	21	to	to	PART
alkej-1008	185	22	be	be	AUX
alkej-1008	185	23	gauged	gauge	VERB
alkej-1008	185	24	.	.	PUNCT
alkej-1008	186	1	genetic	genetic	ADJ
alkej-1008	186	2	algorithm	algorithm	NOUN
alkej-1008	186	3	(	(	PUNCT
alkej-1008	186	4	ga	ga	NOUN
alkej-1008	186	5	)	)	PUNCT
alkej-1008	186	6	operations	operation	NOUN
alkej-1008	186	7	—	—	PUNCT
alkej-1008	186	8	selection	selection	NOUN
alkej-1008	186	9	,	,	PUNCT
alkej-1008	186	10	crossover	crossover	NOUN
alkej-1008	186	11	and	and	CCONJ
alkej-1008	186	12	mutation	mutation	NOUN
alkej-1008	186	13	—	—	PUNCT
alkej-1008	186	14	are	be	AUX
alkej-1008	186	15	utilised	utilise	VERB
alkej-1008	186	16	to	to	PART
alkej-1008	186	17	enhance	enhance	VERB
alkej-1008	186	18	the	the	DET
alkej-1008	186	19	feature	feature	NOUN
alkej-1008	186	20	selection	selection	NOUN
alkej-1008	186	21	process	process	NOUN
alkej-1008	186	22	by	by	ADP
alkej-1008	186	23	evolving	evolve	VERB
alkej-1008	186	24	the	the	DET
alkej-1008	186	25	population	population	NOUN
alkej-1008	186	26	over	over	ADP
alkej-1008	186	27	multiple	multiple	ADJ
alkej-1008	186	28	iterations	iteration	NOUN
alkej-1008	186	29	.	.	PUNCT
alkej-1008	187	1	this	this	DET
alkej-1008	187	2	phase	phase	NOUN
alkej-1008	187	3	is	be	AUX
alkej-1008	187	4	concluded	conclude	VERB
alkej-1008	187	5	with	with	ADP
alkej-1008	187	6	the	the	DET
alkej-1008	187	7	identification	identification	NOUN
alkej-1008	187	8	of	of	ADP
alkej-1008	187	9	the	the	DET
alkej-1008	187	10	best	good	ADJ
alkej-1008	187	11	feature	feature	NOUN
alkej-1008	187	12	subsets	subset	NOUN
alkej-1008	187	13	and	and	CCONJ
alkej-1008	187	14	cluster	cluster	NOUN
alkej-1008	187	15	centres	centre	NOUN
alkej-1008	187	16	,	,	PUNCT
alkej-1008	187	17	thus	thus	ADV
alkej-1008	187	18	setting	set	VERB
alkej-1008	187	19	the	the	DET
alkej-1008	187	20	stage	stage	NOUN
alkej-1008	187	21	for	for	ADP
alkej-1008	187	22	the	the	DET
alkej-1008	187	23	subsequent	subsequent	ADJ
alkej-1008	187	24	phase	phase	NOUN
alkej-1008	187	25	.	.	PUNCT
alkej-1008	188	1	phase	phase	NOUN
alkej-1008	188	2	2	2	NUM
alkej-1008	188	3	incorporates	incorporate	VERB
alkej-1008	188	4	supervised	supervised	ADJ
alkej-1008	188	5	learning	learn	VERB
alkej-1008	188	6	into	into	ADP
alkej-1008	188	7	the	the	DET
alkej-1008	188	8	process	process	NOUN
alkej-1008	188	9	.	.	PUNCT
alkej-1008	189	1	the	the	DET
alkej-1008	189	2	dataset	dataset	NOUN
alkej-1008	189	3	is	be	AUX
alkej-1008	189	4	divided	divide	VERB
alkej-1008	189	5	into	into	ADP
alkej-1008	189	6	clusters	cluster	NOUN
alkej-1008	189	7	around	around	ADP
alkej-1008	189	8	the	the	DET
alkej-1008	189	9	centres	centre	NOUN
alkej-1008	189	10	and	and	CCONJ
alkej-1008	189	11	selected	select	VERB
alkej-1008	189	12	features	feature	NOUN
alkej-1008	189	13	based	base	VERB
alkej-1008	189	14	on	on	ADP
alkej-1008	189	15	the	the	DET
alkej-1008	189	16	results	result	NOUN
alkej-1008	189	17	obtained	obtain	VERB
alkej-1008	189	18	from	from	ADP
alkej-1008	189	19	phase	phase	NOUN
alkej-1008	189	20	1	1	NUM
alkej-1008	189	21	.	.	PUNCT
alkej-1008	190	1	an	an	DET
alkej-1008	190	2	advantage	advantage	NOUN
alkej-1008	190	3	of	of	ADP
alkej-1008	190	4	clustering	clustering	NOUN
alkej-1008	190	5	is	be	AUX
alkej-1008	190	6	that	that	SCONJ
alkej-1008	190	7	for	for	ADP
alkej-1008	190	8	each	each	DET
alkej-1008	190	9	cluster	cluster	NOUN
alkej-1008	190	10	,	,	PUNCT
alkej-1008	190	11	a	a	DET
alkej-1008	190	12	classification	classification	NOUN
alkej-1008	190	13	model	model	NOUN
alkej-1008	190	14	is	be	AUX
alkej-1008	190	15	created	create	VERB
alkej-1008	190	16	by	by	ADP
alkej-1008	190	17	using	use	VERB
alkej-1008	190	18	advanced	advanced	ADJ
alkej-1008	190	19	machine	machine	NOUN
alkej-1008	190	20	learning	learning	NOUN
alkej-1008	190	21	algorithms	algorithm	NOUN
alkej-1008	190	22	,	,	PUNCT
alkej-1008	190	23	such	such	ADJ
alkej-1008	190	24	as	as	ADP
alkej-1008	190	25	svm	svm	ADJ
alkej-1008	190	26	,	,	PUNCT
alkej-1008	190	27	adaboost	adaboost	ADV
alkej-1008	190	28	,	,	PUNCT
alkej-1008	190	29	random	random	ADJ
alkej-1008	190	30	forest	forest	NOUN
alkej-1008	190	31	or	or	CCONJ
alkej-1008	190	32	xgboost	xgboost	NOUN
alkej-1008	190	33	.	.	PUNCT
alkej-1008	191	1	the	the	DET
alkej-1008	191	2	feature	feature	NOUN
alkej-1008	191	3	subset	subset	NOUN
alkej-1008	191	4	is	be	AUX
alkej-1008	191	5	iteratively	iteratively	ADV
alkej-1008	191	6	refined	refine	VERB
alkej-1008	191	7	by	by	ADP
alkej-1008	191	8	the	the	DET
alkej-1008	191	9	ga	ga	PROPN
alkej-1008	191	10	,	,	PUNCT
alkej-1008	191	11	with	with	ADP
alkej-1008	191	12	the	the	DET
alkej-1008	191	13	best	well	ADV
alkej-1008	191	14	-	-	PUNCT
alkej-1008	191	15	performing	perform	VERB
alkej-1008	191	16	features	feature	NOUN
alkej-1008	191	17	selected	select	VERB
alkej-1008	191	18	using	use	VERB
alkej-1008	191	19	genetic	genetic	ADJ
alkej-1008	191	20	operations	operation	NOUN
alkej-1008	191	21	and	and	CCONJ
alkej-1008	191	22	repeated	repeat	VERB
alkej-1008	191	23	looping	looping	NOUN
alkej-1008	191	24	.	.	PUNCT
alkej-1008	192	1	the	the	DET
alkej-1008	192	2	models	model	NOUN
alkej-1008	192	3	are	be	AUX
alkej-1008	192	4	then	then	ADV
alkej-1008	192	5	assessed	assess	VERB
alkej-1008	192	6	on	on	ADP
alkej-1008	192	7	the	the	DET
alkej-1008	192	8	basis	basis	NOUN
alkej-1008	192	9	of	of	ADP
alkej-1008	192	10	their	their	PRON
alkej-1008	192	11	accuracy	accuracy	NOUN
alkej-1008	192	12	,	,	PUNCT
alkej-1008	192	13	precision	precision	NOUN
alkej-1008	192	14	and	and	CCONJ
alkej-1008	192	15	f1	f1	NOUN
alkej-1008	192	16	scores	score	NOUN
alkej-1008	192	17	to	to	PART
alkej-1008	192	18	ensure	ensure	VERB
alkej-1008	192	19	that	that	SCONJ
alkej-1008	192	20	only	only	ADV
alkej-1008	192	21	the	the	DET
alkej-1008	192	22	most	most	ADV
alkej-1008	192	23	effective	effective	ADJ
alkej-1008	192	24	feature	feature	NOUN
alkej-1008	192	25	sets	set	NOUN
alkej-1008	192	26	and	and	CCONJ
alkej-1008	192	27	models	model	NOUN
alkej-1008	192	28	are	be	AUX
alkej-1008	192	29	selected	select	VERB
alkej-1008	192	30	.	.	PUNCT
alkej-1008	193	1	this	this	DET
alkej-1008	193	2	phase	phase	NOUN
alkej-1008	193	3	concludes	conclude	VERB
alkej-1008	193	4	with	with	ADP
alkej-1008	193	5	another	another	DET
alkej-1008	193	6	round	round	NOUN
alkej-1008	193	7	of	of	ADP
alkej-1008	193	8	inspection	inspection	NOUN
alkej-1008	193	9	through	through	ADP
alkej-1008	193	10	the	the	DET
alkej-1008	193	11	system	system	NOUN
alkej-1008	193	12	to	to	PART
alkej-1008	193	13	strengthen	strengthen	VERB
alkej-1008	193	14	the	the	DET
alkej-1008	193	15	classification	classification	NOUN
alkej-1008	193	16	model	model	NOUN
alkej-1008	193	17	for	for	ADP
alkej-1008	193	18	each	each	DET
alkej-1008	193	19	cluster	cluster	NOUN
alkej-1008	193	20	,	,	PUNCT
alkej-1008	193	21	thereby	thereby	ADV
alkej-1008	193	22	enhancing	enhance	VERB
alkej-1008	193	23	its	its	PRON
alkej-1008	193	24	ability	ability	NOUN
alkej-1008	193	25	to	to	PART
alkej-1008	193	26	detect	detect	VERB
alkej-1008	193	27	phishing	phishe	VERB
alkej-1008	193	28	threats	threat	NOUN
alkej-1008	193	29	.	.	PUNCT
alkej-1008	194	1	phase	phase	NOUN
alkej-1008	194	2	3	3	NUM
alkej-1008	194	3	prepares	prepare	VERB
alkej-1008	194	4	the	the	DET
alkej-1008	194	5	last	last	ADJ
alkej-1008	194	6	phase	phase	NOUN
alkej-1008	194	7	of	of	ADP
alkej-1008	194	8	the	the	DET
alkej-1008	194	9	system	system	NOUN
alkej-1008	194	10	for	for	ADP
alkej-1008	194	11	actual	actual	ADJ
alkej-1008	194	12	application	application	NOUN
alkej-1008	194	13	in	in	ADP
alkej-1008	194	14	the	the	DET
alkej-1008	194	15	real	real	ADJ
alkej-1008	194	16	world	world	NOUN
alkej-1008	194	17	.	.	PUNCT
alkej-1008	195	1	the	the	DET
alkej-1008	195	2	dataset	dataset	NOUN
alkej-1008	195	3	is	be	AUX
alkej-1008	195	4	preprocessed	preprocesse	VERB
alkej-1008	195	5	once	once	ADV
alkej-1008	195	6	again	again	ADV
alkej-1008	195	7	,	,	PUNCT
alkej-1008	195	8	and	and	CCONJ
alkej-1008	195	9	each	each	DET
alkej-1008	195	10	sample	sample	NOUN
alkej-1008	195	11	is	be	AUX
alkej-1008	195	12	assigned	assign	VERB
alkej-1008	195	13	to	to	ADP
alkej-1008	195	14	its	its	PRON
alkej-1008	195	15	appropriate	appropriate	ADJ
alkej-1008	195	16	cluster	cluster	NOUN
alkej-1008	195	17	.	.	PUNCT
alkej-1008	196	1	predictions	prediction	NOUN
alkej-1008	196	2	are	be	AUX
alkej-1008	196	3	made	make	VERB
alkej-1008	196	4	by	by	ADP
alkej-1008	196	5	the	the	DET
alkej-1008	196	6	trained	train	VERB
alkej-1008	196	7	models	model	NOUN
alkej-1008	196	8	for	for	ADP
alkej-1008	196	9	corresponding	correspond	VERB
alkej-1008	196	10	clusters	cluster	NOUN
alkej-1008	196	11	using	use	VERB
alkej-1008	196	12	the	the	DET
alkej-1008	196	13	selected	select	VERB
alkej-1008	196	14	features	feature	NOUN
alkej-1008	196	15	.	.	PUNCT
alkej-1008	197	1	for	for	ADP
alkej-1008	197	2	robustness	robustness	NOUN
alkej-1008	197	3	,	,	PUNCT
alkej-1008	197	4	an	an	DET
alkej-1008	197	5	ensemble	ensemble	ADJ
alkej-1008	197	6	method	method	NOUN
alkej-1008	197	7	was	be	AUX
alkej-1008	197	8	adopted	adopt	VERB
alkej-1008	197	9	,	,	PUNCT
alkej-1008	197	10	whereby	whereby	SCONJ
alkej-1008	197	11	the	the	DET
alkej-1008	197	12	final	final	ADJ
alkej-1008	197	13	decision	decision	NOUN
alkej-1008	197	14	was	be	AUX
alkej-1008	197	15	synthesised	synthesise	VERB
alkej-1008	197	16	through	through	ADP
alkej-1008	197	17	a	a	DET
alkej-1008	197	18	voting	voting	NOUN
alkej-1008	197	19	mechanism	mechanism	NOUN
alkej-1008	197	20	that	that	PRON
alkej-1008	197	21	incorporated	incorporate	VERB
alkej-1008	197	22	the	the	DET
alkej-1008	197	23	output	output	NOUN
alkej-1008	197	24	of	of	ADP
alkej-1008	197	25	several	several	ADJ
alkej-1008	197	26	models	model	NOUN
alkej-1008	197	27	.	.	PUNCT
alkej-1008	198	1	the	the	DET
alkej-1008	198	2	accuracy	accuracy	NOUN
alkej-1008	198	3	and	and	CCONJ
alkej-1008	198	4	reliability	reliability	NOUN
alkej-1008	198	5	of	of	ADP
alkej-1008	198	6	the	the	DET
alkej-1008	198	7	system	system	NOUN
alkej-1008	198	8	are	be	AUX
alkej-1008	198	9	increased	increase	VERB
alkej-1008	198	10	by	by	ADP
alkej-1008	198	11	this	this	DET
alkej-1008	198	12	collective	collective	ADJ
alkej-1008	198	13	decision	decision	NOUN
alkej-1008	198	14	-	-	PUNCT
alkej-1008	198	15	making	make	VERB
alkej-1008	198	16	approach	approach	NOUN
alkej-1008	198	17	,	,	PUNCT
alkej-1008	198	18	thereby	thereby	ADV
alkej-1008	198	19	mitigating	mitigate	VERB
alkej-1008	198	20	the	the	DET
alkej-1008	198	21	presence	presence	NOUN
alkej-1008	198	22	of	of	ADP
alkej-1008	198	23	phishing	phishe	VERB
alkej-1008	198	24	websites	website	NOUN
alkej-1008	198	25	in	in	ADP
alkej-1008	198	26	real	real	ADJ
alkej-1008	198	27	time	time	NOUN
alkej-1008	198	28	.	.	PUNCT
alkej-1008	199	1	algorithm	algorithm	NOUN
alkej-1008	199	2	1	1	NUM
alkej-1008	199	3	demonstrates	demonstrate	VERB
alkej-1008	199	4	these	these	DET
alkej-1008	199	5	three	three	NUM
alkej-1008	199	6	phases	phase	NOUN
alkej-1008	199	7	.	.	PUNCT
alkej-1008	200	1	algorithm	algorithm	PROPN
alkej-1008	201	1	i	i	PRON
alkej-1008	201	2	:	:	PUNCT
alkej-1008	201	3	k	k	ADJ
alkej-1008	201	4	-	-	ADJ
alkej-1008	201	5	genphishguard	genphishguard	ADJ
alkej-1008	201	6	input	input	NOUN
alkej-1008	201	7	:	:	PUNCT
alkej-1008	201	8	dataset	dataset	NOUN
alkej-1008	201	9	d	d	PROPN
alkej-1008	201	10	output	output	NOUN
alkej-1008	201	11	:	:	PUNCT
alkej-1008	201	12	final	final	ADJ
alkej-1008	201	13	fishing	fishing	NOUN
alkej-1008	201	14	detection	detection	NOUN
alkej-1008	201	15	ensemble	ensemble	ADJ
alkej-1008	201	16	models	model	NOUN
alkej-1008	201	17	begin	begin	VERB
alkej-1008	201	18	:	:	PUNCT
alkej-1008	201	19	1	1	X
alkej-1008	201	20	.	.	X
alkej-1008	201	21	preprocessing	preprocesse	VERB
alkej-1008	201	22	duplicated	duplicate	VERB
alkej-1008	201	23	sample	sample	NOUN
alkej-1008	201	24	removal	removal	NOUN
alkej-1008	201	25	.	.	PUNCT
alkej-1008	202	1	null	null	ADJ
alkej-1008	202	2	and	and	CCONJ
alkej-1008	202	3	constant	constant	ADJ
alkej-1008	202	4	sample	sample	NOUN
alkej-1008	202	5	removal	removal	NOUN
alkej-1008	202	6	.	.	PUNCT
alkej-1008	203	1	normalisation	normalisation	NOUN
alkej-1008	203	2	.	.	PUNCT
alkej-1008	204	1	class	class	NOUN
alkej-1008	204	2	label	label	NOUN
alkej-1008	204	3	encoding	encoding	NOUN
alkej-1008	204	4	.	.	PUNCT
alkej-1008	205	1	2	2	X
alkej-1008	205	2	.	.	X
alkej-1008	205	3	genkmeans	genkmean	NOUN
alkej-1008	205	4	:	:	PUNCT
alkej-1008	205	5	the	the	DET
alkej-1008	205	6	ga	ga	PROPN
alkej-1008	205	7	is	be	AUX
alkej-1008	205	8	utilised	utilise	VERB
alkej-1008	205	9	to	to	PART
alkej-1008	205	10	determine	determine	VERB
alkej-1008	205	11	the	the	DET
alkej-1008	205	12	best	good	ADJ
alkej-1008	205	13	features	feature	NOUN
alkej-1008	205	14	for	for	ADP
alkej-1008	205	15	k	k	NOUN
alkej-1008	205	16	-	-	PUNCT
alkej-1008	205	17	means	means	NOUN
alkej-1008	205	18	clustering	clustering	NOUN
alkej-1008	205	19	.	.	PUNCT
alkej-1008	206	1	the	the	DET
alkej-1008	206	2	output	output	NOUN
alkej-1008	206	3	comprises	comprise	VERB
alkej-1008	206	4	cluster	cluster	NOUN
alkej-1008	206	5	centres	centre	NOUN
alkej-1008	206	6	and	and	CCONJ
alkej-1008	206	7	best	good	ADJ
alkej-1008	206	8	feature	feature	NOUN
alkej-1008	206	9	subset	subset	NOUN
alkej-1008	206	10	.	.	PUNCT
alkej-1008	207	1	4	4	X
alkej-1008	207	2	.	.	X
alkej-1008	207	3	genclassification	genclassification	NOUN
alkej-1008	207	4	:	:	PUNCT
alkej-1008	207	5	the	the	DET
alkej-1008	207	6	ga	ga	PROPN
alkej-1008	207	7	is	be	AUX
alkej-1008	207	8	utilised	utilise	VERB
alkej-1008	207	9	to	to	PART
alkej-1008	207	10	determine	determine	VERB
alkej-1008	207	11	the	the	DET
alkej-1008	207	12	best	good	ADJ
alkej-1008	207	13	features	feature	NOUN
alkej-1008	207	14	to	to	PART
alkej-1008	207	15	train	train	VERB
alkej-1008	207	16	the	the	DET
alkej-1008	207	17	ensemble	ensemble	ADJ
alkej-1008	207	18	set	set	NOUN
alkej-1008	207	19	of	of	ADP
alkej-1008	207	20	classifiers	classifier	NOUN
alkej-1008	207	21	for	for	ADP
alkej-1008	207	22	each	each	DET
alkej-1008	207	23	cluster	cluster	NOUN
alkej-1008	207	24	.	.	PUNCT
alkej-1008	208	1	the	the	DET
alkej-1008	208	2	output	output	NOUN
alkej-1008	208	3	is	be	AUX
alkej-1008	208	4	the	the	DET
alkej-1008	208	5	final	final	ADJ
alkej-1008	208	6	fishing	fishing	NOUN
alkej-1008	208	7	detection	detection	NOUN
alkej-1008	208	8	ensemble	ensemble	ADJ
alkej-1008	208	9	models	model	NOUN
alkej-1008	208	10	for	for	ADP
alkej-1008	208	11	each	each	DET
alkej-1008	208	12	cluster	cluster	NOUN
alkej-1008	208	13	.	.	PUNCT
alkej-1008	209	1	end	end	PROPN
alkej-1008	209	2	ali	ali	PROPN
alkej-1008	209	3	raheem	raheem	PROPN
alkej-1008	209	4	al	al	PROPN
alkej-1008	209	5	-	-	PROPN
alkej-1008	209	6	hafiz	hafiz	PROPN
alkej-1008	209	7	al	al	PROPN
alkej-1008	209	8	-	-	PUNCT
alkej-1008	209	9	khwarizmi	khwarizmi	PROPN
alkej-1008	209	10	engineering	engineering	NOUN
alkej-1008	209	11	journal	journal	PROPN
alkej-1008	209	12	,	,	PUNCT
alkej-1008	209	13	vol	vol	NOUN
alkej-1008	209	14	.	.	PROPN
alkej-1008	209	15	21	21	NUM
alkej-1008	209	16	,	,	PUNCT
alkej-1008	209	17	no.2	no.2	PROPN
alkej-1008	209	18	,	,	PUNCT
alkej-1008	209	19	pp	pp	ADJ
alkej-1008	209	20	.	.	PUNCT
alkej-1008	210	1	117	117	NUM
alkej-1008	210	2	-	-	SYM
alkej-1008	210	3	135	135	NUM
alkej-1008	210	4	(	(	PUNCT
alkej-1008	210	5	2025	2025	NUM
alkej-1008	210	6	)	)	PUNCT
alkej-1008	210	7	123	123	NUM
alkej-1008	210	8	the	the	DET
alkej-1008	210	9	first	first	ADJ
alkej-1008	210	10	phase	phase	NOUN
alkej-1008	210	11	deals	deal	VERB
alkej-1008	210	12	with	with	ADP
alkej-1008	210	13	the	the	DET
alkej-1008	210	14	data	data	NOUN
alkej-1008	210	15	preprocessing	preprocessing	NOUN
alkej-1008	210	16	process	process	NOUN
alkej-1008	210	17	,	,	PUNCT
alkej-1008	210	18	where	where	SCONJ
alkej-1008	210	19	the	the	DET
alkej-1008	210	20	dataset	dataset	NOUN
alkej-1008	210	21	is	be	AUX
alkej-1008	210	22	loaded	load	VERB
alkej-1008	210	23	,	,	PUNCT
alkej-1008	210	24	labels	label	NOUN
alkej-1008	210	25	are	be	AUX
alkej-1008	210	26	encoded	encode	VERB
alkej-1008	210	27	into	into	ADP
alkej-1008	210	28	numerical	numerical	ADJ
alkej-1008	210	29	format	format	NOUN
alkej-1008	210	30	and	and	CCONJ
alkej-1008	210	31	features	feature	NOUN
alkej-1008	210	32	are	be	AUX
alkej-1008	210	33	scaled	scale	VERB
alkej-1008	210	34	using	use	VERB
alkej-1008	210	35	minmaxscaler	minmaxscaler	NOUN
alkej-1008	210	36	to	to	PART
alkej-1008	210	37	ensure	ensure	VERB
alkej-1008	210	38	consistent	consistent	ADJ
alkej-1008	210	39	ranges	range	NOUN
alkej-1008	210	40	across	across	ADP
alkej-1008	210	41	all	all	DET
alkej-1008	210	42	features	feature	NOUN
alkej-1008	210	43	.	.	PUNCT
alkej-1008	211	1	the	the	DET
alkej-1008	211	2	data	datum	NOUN
alkej-1008	211	3	are	be	AUX
alkej-1008	211	4	then	then	ADV
alkej-1008	211	5	prepared	prepared	ADJ
alkej-1008	211	6	for	for	ADP
alkej-1008	211	7	the	the	DET
alkej-1008	211	8	next	next	ADJ
alkej-1008	211	9	phase	phase	NOUN
alkej-1008	211	10	.	.	PUNCT
alkej-1008	212	1	the	the	DET
alkej-1008	212	2	second	second	ADJ
alkej-1008	212	3	phase	phase	NOUN
alkej-1008	212	4	,	,	PUNCT
alkej-1008	212	5	namely	namely	ADV
alkej-1008	212	6	genkmeans	genkmean	NOUN
alkej-1008	212	7	,	,	PUNCT
alkej-1008	212	8	integrates	integrate	VERB
alkej-1008	212	9	the	the	DET
alkej-1008	212	10	ga	ga	PROPN
alkej-1008	212	11	with	with	ADP
alkej-1008	212	12	kmeans	kmean	NOUN
alkej-1008	212	13	clustering	cluster	VERB
alkej-1008	212	14	to	to	PART
alkej-1008	212	15	determine	determine	VERB
alkej-1008	212	16	the	the	DET
alkej-1008	212	17	best	good	ADJ
alkej-1008	212	18	features	feature	NOUN
alkej-1008	212	19	that	that	PRON
alkej-1008	212	20	achieve	achieve	VERB
alkej-1008	212	21	the	the	DET
alkej-1008	212	22	minimum	minimum	ADJ
alkej-1008	212	23	silhouette	silhouette	NOUN
alkej-1008	212	24	score	score	NOUN
alkej-1008	212	25	.	.	PUNCT
alkej-1008	213	1	the	the	DET
alkej-1008	213	2	strength	strength	NOUN
alkej-1008	213	3	of	of	ADP
alkej-1008	213	4	k	k	NOUN
alkej-1008	213	5	-	-	PUNCT
alkej-1008	213	6	means	means	NOUN
alkej-1008	213	7	clustering	clustering	NOUN
alkej-1008	213	8	is	be	AUX
alkej-1008	213	9	leveraged	leverage	VERB
alkej-1008	213	10	in	in	ADP
alkej-1008	213	11	identifying	identify	VERB
alkej-1008	213	12	natural	natural	ADJ
alkej-1008	213	13	groupings	grouping	NOUN
alkej-1008	213	14	within	within	ADP
alkej-1008	213	15	the	the	DET
alkej-1008	213	16	data	datum	NOUN
alkej-1008	213	17	,	,	PUNCT
alkej-1008	213	18	and	and	CCONJ
alkej-1008	213	19	the	the	DET
alkej-1008	213	20	ga	ga	PROPN
alkej-1008	213	21	’s	’s	PART
alkej-1008	213	22	ability	ability	NOUN
alkej-1008	213	23	to	to	PART
alkej-1008	213	24	evolve	evolve	VERB
alkej-1008	213	25	feature	feature	NOUN
alkej-1008	213	26	subsets	subset	NOUN
alkej-1008	213	27	is	be	AUX
alkej-1008	213	28	utilised	utilise	VERB
alkej-1008	213	29	to	to	PART
alkej-1008	213	30	refine	refine	VERB
alkej-1008	213	31	the	the	DET
alkej-1008	213	32	model	model	NOUN
alkej-1008	213	33	’s	’s	PART
alkej-1008	213	34	accuracy	accuracy	NOUN
alkej-1008	213	35	over	over	ADP
alkej-1008	213	36	multiple	multiple	ADJ
alkej-1008	213	37	iterations	iteration	NOUN
alkej-1008	213	38	.	.	PUNCT
alkej-1008	214	1	by	by	ADP
alkej-1008	214	2	combining	combine	VERB
alkej-1008	214	3	these	these	DET
alkej-1008	214	4	techniques	technique	NOUN
alkej-1008	214	5	,	,	PUNCT
alkej-1008	214	6	an	an	DET
alkej-1008	214	7	efficient	efficient	ADJ
alkej-1008	214	8	and	and	CCONJ
alkej-1008	214	9	precise	precise	ADJ
alkej-1008	214	10	feature	feature	NOUN
alkej-1008	214	11	selection	selection	NOUN
alkej-1008	214	12	process	process	NOUN
alkej-1008	214	13	is	be	AUX
alkej-1008	214	14	ensured	ensure	VERB
alkej-1008	214	15	,	,	PUNCT
alkej-1008	214	16	ultimately	ultimately	ADV
alkej-1008	214	17	enhancing	enhance	VERB
alkej-1008	214	18	the	the	DET
alkej-1008	214	19	performance	performance	NOUN
alkej-1008	214	20	of	of	ADP
alkej-1008	214	21	the	the	DET
alkej-1008	214	22	phishing	phishe	VERB
alkej-1008	214	23	detection	detection	NOUN
alkej-1008	214	24	system	system	NOUN
alkej-1008	214	25	.	.	PUNCT
alkej-1008	215	1	algorithm	algorithm	NOUN
alkej-1008	215	2	2	2	NUM
alkej-1008	215	3	shows	show	VERB
alkej-1008	215	4	the	the	DET
alkej-1008	215	5	main	main	ADJ
alkej-1008	215	6	steps	step	NOUN
alkej-1008	215	7	of	of	ADP
alkej-1008	215	8	this	this	DET
alkej-1008	215	9	phase	phase	NOUN
alkej-1008	215	10	.	.	PUNCT
alkej-1008	216	1	fig	fig	NOUN
alkej-1008	216	2	.	.	PUNCT
alkej-1008	217	1	1	1	X
alkej-1008	217	2	.	.	NUM
alkej-1008	217	3	proposed	propose	VERB
alkej-1008	217	4	k	k	PROPN
alkej-1008	217	5	-	-	PUNCT
alkej-1008	217	6	gen	gen	PROPN
alkej-1008	217	7	phishguard	phishguard	NOUN
alkej-1008	217	8	model	model	NOUN
alkej-1008	217	9	124	124	NUM
alkej-1008	217	10	ali	ali	PROPN
alkej-1008	217	11	raheem	raheem	PROPN
alkej-1008	217	12	al	al	PROPN
alkej-1008	217	13	-	-	PROPN
alkej-1008	217	14	hafiz	hafiz	PROPN
alkej-1008	217	15	al	al	PROPN
alkej-1008	217	16	-	-	PUNCT
alkej-1008	217	17	khwarizmi	khwarizmi	PROPN
alkej-1008	217	18	engineering	engineering	NOUN
alkej-1008	217	19	journal	journal	PROPN
alkej-1008	217	20	,	,	PUNCT
alkej-1008	217	21	vol	vol	NOUN
alkej-1008	217	22	.	.	PROPN
alkej-1008	217	23	21	21	NUM
alkej-1008	217	24	,	,	PUNCT
alkej-1008	217	25	no.2	no.2	PROPN
alkej-1008	217	26	,	,	PUNCT
alkej-1008	217	27	pp	pp	ADJ
alkej-1008	217	28	.	.	PUNCT
alkej-1008	218	1	117	117	NUM
alkej-1008	218	2	-	-	SYM
alkej-1008	218	3	135	135	NUM
alkej-1008	218	4	(	(	PUNCT
alkej-1008	218	5	2025	2025	NUM
alkej-1008	218	6	)	)	PUNCT
alkej-1008	218	7	as	as	SCONJ
alkej-1008	218	8	shown	show	VERB
alkej-1008	218	9	in	in	ADP
alkej-1008	218	10	the	the	DET
alkej-1008	218	11	genkmeans	genkmean	NOUN
alkej-1008	218	12	,	,	PUNCT
alkej-1008	218	13	the	the	DET
alkej-1008	218	14	initial	initial	ADJ
alkej-1008	218	15	binary	binary	ADJ
alkej-1008	218	16	population	population	NOUN
alkej-1008	218	17	is	be	AUX
alkej-1008	218	18	generated	generate	VERB
alkej-1008	218	19	,	,	PUNCT
alkej-1008	218	20	where	where	SCONJ
alkej-1008	218	21	each	each	DET
alkej-1008	218	22	vector	vector	NOUN
alkej-1008	218	23	is	be	AUX
alkej-1008	218	24	represented	represent	VERB
alkej-1008	218	25	by	by	ADP
alkej-1008	218	26	the	the	DET
alkej-1008	218	27	selected	select	VERB
alkej-1008	218	28	features	feature	NOUN
alkej-1008	218	29	.	.	PUNCT
alkej-1008	219	1	each	each	DET
alkej-1008	219	2	binary	binary	ADJ
alkej-1008	219	3	value	value	NOUN
alkej-1008	219	4	within	within	ADP
alkej-1008	219	5	the	the	DET
alkej-1008	219	6	vector	vector	NOUN
alkej-1008	219	7	is	be	AUX
alkej-1008	219	8	used	use	VERB
alkej-1008	219	9	to	to	PART
alkej-1008	219	10	indicate	indicate	VERB
alkej-1008	219	11	whether	whether	SCONJ
alkej-1008	219	12	a	a	DET
alkej-1008	219	13	particular	particular	ADJ
alkej-1008	219	14	feature	feature	NOUN
alkej-1008	219	15	is	be	AUX
alkej-1008	219	16	included	include	VERB
alkej-1008	219	17	in	in	ADP
alkej-1008	219	18	the	the	DET
alkej-1008	219	19	model	model	NOUN
alkej-1008	219	20	(	(	PUNCT
alkej-1008	219	21	1	1	NUM
alkej-1008	219	22	)	)	PUNCT
alkej-1008	219	23	or	or	CCONJ
alkej-1008	219	24	excluded	exclude	VERB
alkej-1008	219	25	(	(	PUNCT
alkej-1008	219	26	0	0	NUM
alkej-1008	219	27	)	)	PUNCT
alkej-1008	219	28	.	.	PUNCT
alkej-1008	220	1	the	the	DET
alkej-1008	220	2	starting	starting	NOUN
alkej-1008	220	3	point	point	NOUN
alkej-1008	220	4	for	for	ADP
alkej-1008	220	5	the	the	DET
alkej-1008	220	6	ga	ga	PROPN
alkej-1008	220	7	is	be	AUX
alkej-1008	220	8	served	serve	VERB
alkej-1008	220	9	by	by	ADP
alkej-1008	220	10	this	this	DET
alkej-1008	220	11	population	population	NOUN
alkej-1008	220	12	.	.	PUNCT
alkej-1008	221	1	the	the	DET
alkej-1008	221	2	process	process	NOUN
alkej-1008	221	3	is	be	AUX
alkej-1008	221	4	then	then	ADV
alkej-1008	221	5	moved	move	VERB
alkej-1008	221	6	to	to	ADP
alkej-1008	221	7	k	k	ADJ
alkej-1008	221	8	-	-	PUNCT
alkej-1008	221	9	means	means	NOUN
alkej-1008	221	10	clustering	clustering	NOUN
alkej-1008	221	11	,	,	PUNCT
alkej-1008	221	12	with	with	SCONJ
alkej-1008	221	13	the	the	DET
alkej-1008	221	14	latter	latter	ADJ
alkej-1008	221	15	performed	perform	VERB
alkej-1008	221	16	on	on	ADP
alkej-1008	221	17	the	the	DET
alkej-1008	221	18	basis	basis	NOUN
alkej-1008	221	19	of	of	ADP
alkej-1008	221	20	the	the	DET
alkej-1008	221	21	selected	select	VERB
alkej-1008	221	22	features	feature	NOUN
alkej-1008	221	23	in	in	ADP
alkej-1008	221	24	each	each	DET
alkej-1008	221	25	solution	solution	NOUN
alkej-1008	221	26	of	of	ADP
alkej-1008	221	27	the	the	DET
alkej-1008	221	28	ga	ga	PROPN
alkej-1008	221	29	population	population	NOUN
alkej-1008	221	30	.	.	PUNCT
alkej-1008	222	1	the	the	DET
alkej-1008	222	2	silhouette	silhouette	NOUN
alkej-1008	222	3	score	score	NOUN
alkej-1008	222	4	is	be	AUX
alkej-1008	222	5	used	use	VERB
alkej-1008	222	6	here	here	ADV
alkej-1008	222	7	as	as	ADP
alkej-1008	222	8	the	the	DET
alkej-1008	222	9	fitness	fitness	NOUN
alkej-1008	222	10	function	function	NOUN
alkej-1008	222	11	,	,	PUNCT
alkej-1008	222	12	which	which	PRON
alkej-1008	222	13	measures	measure	VERB
alkej-1008	222	14	how	how	SCONJ
alkej-1008	222	15	well	well	ADV
alkej-1008	222	16	each	each	DET
alkej-1008	222	17	data	datum	NOUN
alkej-1008	222	18	point	point	NOUN
alkej-1008	222	19	is	be	AUX
alkej-1008	222	20	clustered	cluster	VERB
alkej-1008	222	21	on	on	ADP
alkej-1008	222	22	the	the	DET
alkej-1008	222	23	basis	basis	NOUN
alkej-1008	222	24	of	of	ADP
alkej-1008	222	25	its	its	PRON
alkej-1008	222	26	cohesion	cohesion	NOUN
alkej-1008	222	27	within	within	ADP
alkej-1008	222	28	its	its	PRON
alkej-1008	222	29	own	own	ADJ
alkej-1008	222	30	cluster	cluster	NOUN
alkej-1008	222	31	and	and	CCONJ
alkej-1008	222	32	its	its	PRON
alkej-1008	222	33	separation	separation	NOUN
alkej-1008	222	34	from	from	ADP
alkej-1008	222	35	other	other	ADJ
alkej-1008	222	36	clusters	cluster	NOUN
alkej-1008	222	37	.	.	PUNCT
alkej-1008	223	1	the	the	DET
alkej-1008	223	2	ga	ga	PROPN
alkej-1008	223	3	proceeds	proceed	VERB
alkej-1008	223	4	with	with	ADP
alkej-1008	223	5	multiple	multiple	ADJ
alkej-1008	223	6	generations	generation	NOUN
alkej-1008	223	7	of	of	ADP
alkej-1008	223	8	feature	feature	NOUN
alkej-1008	223	9	selection	selection	NOUN
alkej-1008	223	10	,	,	PUNCT
alkej-1008	223	11	using	use	VERB
alkej-1008	223	12	selection	selection	NOUN
alkej-1008	223	13	,	,	PUNCT
alkej-1008	223	14	crossover	crossover	NOUN
alkej-1008	223	15	and	and	CCONJ
alkej-1008	223	16	mutation	mutation	NOUN
alkej-1008	223	17	to	to	PART
alkej-1008	223	18	evolve	evolve	VERB
alkej-1008	223	19	the	the	DET
alkej-1008	223	20	population	population	NOUN
alkej-1008	223	21	.	.	PUNCT
alkej-1008	224	1	the	the	DET
alkej-1008	224	2	goal	goal	NOUN
alkej-1008	224	3	is	be	AUX
alkej-1008	224	4	to	to	PART
alkej-1008	224	5	maximise	maximise	VERB
alkej-1008	224	6	the	the	DET
alkej-1008	224	7	silhouette	silhouette	NOUN
alkej-1008	224	8	score	score	NOUN
alkej-1008	224	9	by	by	ADP
alkej-1008	224	10	determining	determine	VERB
alkej-1008	224	11	the	the	DET
alkej-1008	224	12	optimal	optimal	ADJ
alkej-1008	224	13	subset	subset	NOUN
alkej-1008	224	14	of	of	ADP
alkej-1008	224	15	features	feature	NOUN
alkej-1008	224	16	that	that	PRON
alkej-1008	224	17	enhances	enhance	VERB
alkej-1008	224	18	clustering	cluster	VERB
alkej-1008	224	19	performance	performance	NOUN
alkej-1008	224	20	.	.	PUNCT
alkej-1008	225	1	once	once	SCONJ
alkej-1008	225	2	the	the	DET
alkej-1008	225	3	ga	ga	PROPN
alkej-1008	225	4	has	have	AUX
alkej-1008	225	5	converged	converge	VERB
alkej-1008	225	6	,	,	PUNCT
alkej-1008	225	7	the	the	DET
alkej-1008	225	8	bestperforming	bestperforme	VERB
alkej-1008	225	9	chromosome	chromosome	NOUN
alkej-1008	225	10	,	,	PUNCT
alkej-1008	225	11	representing	represent	VERB
alkej-1008	225	12	the	the	DET
alkej-1008	225	13	optimal	optimal	ADJ
alkej-1008	225	14	set	set	NOUN
alkej-1008	225	15	of	of	ADP
alkej-1008	225	16	features	feature	NOUN
alkej-1008	225	17	,	,	PUNCT
alkej-1008	225	18	is	be	AUX
alkej-1008	225	19	selected	select	VERB
alkej-1008	225	20	.	.	PUNCT
alkej-1008	226	1	in	in	ADP
alkej-1008	226	2	addition	addition	NOUN
alkej-1008	226	3	,	,	PUNCT
alkej-1008	226	4	the	the	DET
alkej-1008	226	5	cluster	cluster	NOUN
alkej-1008	226	6	centres	centre	NOUN
alkej-1008	226	7	are	be	AUX
alkej-1008	226	8	saved	save	VERB
alkej-1008	226	9	for	for	ADP
alkej-1008	226	10	use	use	NOUN
alkej-1008	226	11	in	in	ADP
alkej-1008	226	12	the	the	DET
alkej-1008	226	13	next	next	ADJ
alkej-1008	226	14	phase	phase	NOUN
alkej-1008	226	15	.	.	PUNCT
alkej-1008	227	1	the	the	DET
alkej-1008	227	2	output	output	NOUN
alkej-1008	227	3	of	of	ADP
alkej-1008	227	4	the	the	DET
alkej-1008	227	5	previous	previous	ADJ
alkej-1008	227	6	phase	phase	NOUN
alkej-1008	227	7	,	,	PUNCT
alkej-1008	227	8	i.e.	i.e.	X
alkej-1008	227	9	,	,	PUNCT
alkej-1008	227	10	the	the	DET
alkej-1008	227	11	cluster	cluster	NOUN
alkej-1008	227	12	centres	centre	NOUN
alkej-1008	227	13	and	and	CCONJ
alkej-1008	227	14	the	the	DET
alkej-1008	227	15	best	good	ADJ
alkej-1008	227	16	feature	feature	NOUN
alkej-1008	227	17	subset	subset	NOUN
alkej-1008	227	18	,	,	PUNCT
alkej-1008	227	19	is	be	AUX
alkej-1008	227	20	taken	take	VERB
alkej-1008	227	21	as	as	ADP
alkej-1008	227	22	input	input	NOUN
alkej-1008	227	23	for	for	ADP
alkej-1008	227	24	the	the	DET
alkej-1008	227	25	third	third	ADJ
alkej-1008	227	26	phase	phase	NOUN
alkej-1008	227	27	.	.	PUNCT
alkej-1008	228	1	then	then	ADV
alkej-1008	228	2	,	,	PUNCT
alkej-1008	228	3	for	for	ADP
alkej-1008	228	4	each	each	DET
alkej-1008	228	5	cluster	cluster	NOUN
alkej-1008	228	6	,	,	PUNCT
alkej-1008	228	7	the	the	DET
alkej-1008	228	8	best	good	ADJ
alkej-1008	228	9	feature	feature	NOUN
alkej-1008	228	10	subset	subset	NOUN
alkej-1008	228	11	,	,	PUNCT
alkej-1008	228	12	which	which	PRON
alkej-1008	228	13	achieves	achieve	VERB
alkej-1008	228	14	the	the	DET
alkej-1008	228	15	best	good	ADJ
alkej-1008	228	16	classification	classification	NOUN
alkej-1008	228	17	accuracy	accuracy	NOUN
alkej-1008	228	18	,	,	PUNCT
alkej-1008	228	19	is	be	AUX
alkej-1008	228	20	identified	identify	VERB
alkej-1008	228	21	using	use	VERB
alkej-1008	228	22	the	the	DET
alkej-1008	228	23	ga	ga	PROPN
alkej-1008	228	24	.	.	PROPN
alkej-1008	228	25	algorithm	algorithm	PROPN
alkej-1008	228	26	3	3	NUM
alkej-1008	228	27	shows	show	VERB
alkej-1008	228	28	the	the	DET
alkej-1008	228	29	detailed	detailed	ADJ
alkej-1008	228	30	steps	step	NOUN
alkej-1008	228	31	of	of	ADP
alkej-1008	228	32	this	this	DET
alkej-1008	228	33	phase	phase	NOUN
alkej-1008	228	34	.	.	PUNCT
alkej-1008	229	1	algorithm	algorithm	NOUN
alkej-1008	229	2	3	3	NUM
alkej-1008	229	3	:	:	PUNCT
alkej-1008	229	4	genclassification	genclassification	NOUN
alkej-1008	229	5	input	input	NOUN
alkej-1008	229	6	:	:	PUNCT
alkej-1008	229	7	•	•	NUM
alkej-1008	229	8	cluster	cluster	NOUN
alkej-1008	229	9	centres	centre	NOUN
alkej-1008	229	10	c	c	NOUN
alkej-1008	229	11	=	=	SYM
alkej-1008	229	12	{	{	PUNCT
alkej-1008	229	13	c0	c0	NOUN
alkej-1008	229	14	,	,	PUNCT
alkej-1008	229	15	c1,	c1,	PROPN
alkej-1008	229	16	...	...	PUNCT
alkej-1008	229	17	ck	ck	ADJ
alkej-1008	229	18	}	}	PUNCT
alkej-1008	229	19	.	.	PUNCT
alkej-1008	230	1	•	•	NUM
alkej-1008	230	2	clustering	clustering	NOUN
alkej-1008	230	3	features	feature	VERB
alkej-1008	230	4	f	f	X
alkej-1008	231	1	=	=	PRON
alkej-1008	231	2	{	{	PUNCT
alkej-1008	231	3	f0	f0	PROPN
alkej-1008	231	4	,	,	PUNCT
alkej-1008	231	5	f1,	f1,	NOUN
alkej-1008	231	6	...	...	SYM
alkej-1008	231	7	fm	fm	ADJ
alkej-1008	231	8	}	}	PUNCT
alkej-1008	231	9	output	output	NOUN
alkej-1008	231	10	:	:	PUNCT
alkej-1008	231	11	•	•	NUM
alkej-1008	231	12	classification	classification	NOUN
alkej-1008	231	13	feature	feature	NOUN
alkej-1008	231	14	vectors	vector	NOUN
alkej-1008	231	15	cf	cf	NOUN
alkej-1008	231	16	=	=	PUNCT
alkej-1008	231	17	{	{	PUNCT
alkej-1008	231	18	cf0	cf0	NOUN
alkej-1008	231	19	,	,	PUNCT
alkej-1008	231	20	cf1,	cf1,	NOUN
alkej-1008	231	21	...	...	X
alkej-1008	231	22	cfm	cfm	NOUN
alkej-1008	231	23	}	}	PUNCT
alkej-1008	231	24	.	.	PUNCT
alkej-1008	232	1	•	•	NUM
alkej-1008	232	2	trained	train	VERB
alkej-1008	232	3	classification	classification	NOUN
alkej-1008	232	4	models	model	NOUN
alkej-1008	232	5	.	.	PUNCT
alkej-1008	233	1	begin	begin	VERB
alkej-1008	233	2	1	1	NUM
alkej-1008	233	3	.	.	PUNCT
alkej-1008	234	1	for	for	ADP
alkej-1008	234	2	each	each	DET
alkej-1008	234	3	cluster	cluster	NOUN
alkej-1008	234	4	,	,	PUNCT
alkej-1008	234	5	do	do	AUX
alkej-1008	234	6	2–6	2–6	NOUN
alkej-1008	234	7	.	.	PROPN
alkej-1008	234	8	2	2	NUM
alkej-1008	234	9	.	.	X
alkej-1008	234	10	generate	generate	VERB
alkej-1008	234	11	initial	initial	ADJ
alkej-1008	234	12	population	population	NOUN
alkej-1008	234	13	p	p	X
alkej-1008	234	14	=	=	X
alkej-1008	234	15	{	{	PUNCT
alkej-1008	234	16	ch1	ch1	PROPN
alkej-1008	234	17	,	,	PUNCT
alkej-1008	234	18	ch2	ch2	PROPN
alkej-1008	234	19	...	...	PROPN
alkej-1008	234	20	,	,	PUNCT
alkej-1008	234	21	chp	chp	PROPN
alkej-1008	234	22	}	}	PUNCT
alkej-1008	234	23	,	,	PUNCT
alkej-1008	234	24	where	where	SCONJ
alkej-1008	234	25	each	each	DET
alkej-1008	234	26	chromosome	chromosome	NOUN
alkej-1008	234	27	is	be	AUX
alkej-1008	234	28	a	a	DET
alkej-1008	234	29	binary	binary	ADJ
alkej-1008	234	30	vector	vector	NOUN
alkej-1008	234	31	which	which	PRON
alkej-1008	234	32	represents	represent	VERB
alkej-1008	234	33	the	the	DET
alkej-1008	234	34	selected	select	VERB
alkej-1008	234	35	features	feature	NOUN
alkej-1008	234	36	.	.	PUNCT
alkej-1008	235	1	2	2	X
alkej-1008	235	2	.	.	X
alkej-1008	235	3	without	without	ADP
alkej-1008	235	4	stopping	stop	VERB
alkej-1008	235	5	the	the	DET
alkej-1008	235	6	condition	condition	NOUN
alkej-1008	235	7	,	,	PUNCT
alkej-1008	235	8	do	do	VERB
alkej-1008	235	9	3–5	3–5	NUM
alkej-1008	235	10	.	.	NOUN
alkej-1008	236	1	3	3	X
alkej-1008	236	2	.	.	X
alkej-1008	236	3	for	for	ADP
alkej-1008	236	4	all	all	DET
alkej-1008	236	5	solutions	solution	NOUN
alkej-1008	236	6	in	in	ADP
alkej-1008	236	7	(	(	PUNCT
alkej-1008	236	8	p	p	NOUN
alkej-1008	236	9	)	)	PUNCT
alkej-1008	236	10	=	=	SYM
alkej-1008	236	11	{	{	PUNCT
alkej-1008	236	12	ch1	ch1	PROPN
alkej-1008	236	13	...	...	PUNCT
alkej-1008	236	14	chp	chp	PROPN
alkej-1008	236	15	}	}	PUNCT
alkej-1008	236	16	,	,	PUNCT
alkej-1008	236	17	do	do	VERB
alkej-1008	236	18	4–5	4–5	PROPN
alkej-1008	236	19	.	.	PROPN
alkej-1008	237	1	4	4	NUM
alkej-1008	237	2	.	.	PUNCT
alkej-1008	237	3	fitness	fitness	NOUN
alkej-1008	237	4	evaluation	evaluation	NOUN
alkej-1008	237	5	:	:	PUNCT
alkej-1008	237	6	•	•	NUM
alkej-1008	237	7	train	train	NOUN
alkej-1008	237	8	ensemble	ensemble	ADJ
alkej-1008	237	9	classifiers	classifier	NOUN
alkej-1008	237	10	(	(	PUNCT
alkej-1008	237	11	svm	svm	PROPN
alkej-1008	237	12	,	,	PUNCT
alkej-1008	237	13	rf	rf	ADJ
alkej-1008	237	14	,	,	PUNCT
alkej-1008	237	15	xgboost	xgboost	ADV
alkej-1008	237	16	and	and	CCONJ
alkej-1008	237	17	adaboost	adaboost	ADV
alkej-1008	237	18	)	)	PUNCT
alkej-1008	237	19	using	use	VERB
alkej-1008	237	20	the	the	DET
alkej-1008	237	21	selected	select	VERB
alkej-1008	237	22	features	feature	NOUN
alkej-1008	237	23	represented	represent	VERB
alkej-1008	237	24	by	by	ADP
alkej-1008	237	25	ch	ch	NOUN
alkej-1008	237	26	(	(	PUNCT
alkej-1008	237	27	i	i	PROPN
alkej-1008	237	28	)	)	PUNCT
alkej-1008	237	29	.	.	PUNCT
alkej-1008	238	1	•	•	NOUN
alkej-1008	238	2	evaluate	evaluate	VERB
alkej-1008	238	3	performance	performance	NOUN
alkej-1008	238	4	using	use	VERB
alkej-1008	238	5	metrics	metric	NOUN
alkej-1008	238	6	such	such	ADJ
alkej-1008	238	7	as	as	ADP
alkej-1008	238	8	accuracy	accuracy	NOUN
alkej-1008	238	9	,	,	PUNCT
alkej-1008	238	10	precision	precision	NOUN
alkej-1008	238	11	and	and	CCONJ
alkej-1008	238	12	f1	f1	NOUN
alkej-1008	238	13	score	score	NOUN
alkej-1008	238	14	using	use	VERB
alkej-1008	238	15	the	the	DET
alkej-1008	238	16	voting	voting	NOUN
alkej-1008	238	17	method	method	NOUN
alkej-1008	238	18	.	.	PUNCT
alkej-1008	239	1	5	5	X
alkej-1008	239	2	.	.	X
alkej-1008	239	3	(	(	PUNCT
alkej-1008	239	4	ga	ga	NOUN
alkej-1008	239	5	)	)	PUNCT
alkej-1008	239	6	for	for	ADP
alkej-1008	239	7	optimisation	optimisation	NOUN
alkej-1008	239	8	:	:	PUNCT
alkej-1008	239	9	selection	selection	NOUN
alkej-1008	239	10	,	,	PUNCT
alkej-1008	239	11	crossover	crossover	NOUN
alkej-1008	239	12	and	and	CCONJ
alkej-1008	239	13	mutation	mutation	NOUN
alkej-1008	239	14	operators	operator	NOUN
alkej-1008	239	15	.	.	PUNCT
alkej-1008	240	1	6	6	X
alkej-1008	240	2	.	.	X
alkej-1008	240	3	output	output	NOUN
alkej-1008	240	4	:	:	PUNCT
alkej-1008	240	5	the	the	DET
alkej-1008	240	6	best	good	ADJ
alkej-1008	240	7	feature	feature	NOUN
alkej-1008	240	8	subset	subset	NOUN
alkej-1008	240	9	cfbest	cfbest	NOUN
alkej-1008	240	10	.	.	PUNCT
alkej-1008	241	1	the	the	DET
alkej-1008	241	2	trained	train	VERB
alkej-1008	241	3	ensemble	ensemble	ADJ
alkej-1008	241	4	classification	classification	NOUN
alkej-1008	241	5	models	model	NOUN
alkej-1008	241	6	.	.	PUNCT
alkej-1008	242	1	end	end	NOUN
alkej-1008	242	2	as	as	SCONJ
alkej-1008	242	3	shown	show	VERB
alkej-1008	242	4	in	in	ADP
alkej-1008	242	5	algorithm	algorithm	NOUN
alkej-1008	242	6	3	3	NUM
alkej-1008	242	7	,	,	PUNCT
alkej-1008	242	8	all	all	DET
alkej-1008	242	9	clusters	cluster	NOUN
alkej-1008	242	10	are	be	AUX
alkej-1008	242	11	iterated	iterate	VERB
alkej-1008	242	12	upon	upon	SCONJ
alkej-1008	242	13	in	in	ADP
alkej-1008	242	14	step	step	NOUN
alkej-1008	242	15	(	(	PUNCT
alkej-1008	242	16	1	1	NUM
alkej-1008	242	17	)	)	PUNCT
alkej-1008	242	18	,	,	PUNCT
alkej-1008	242	19	whilst	whilst	SCONJ
alkej-1008	242	20	corresponding	correspond	VERB
alkej-1008	242	21	with	with	ADP
alkej-1008	242	22	the	the	DET
alkej-1008	242	23	initialisation	initialisation	NOUN
alkej-1008	242	24	stage	stage	NOUN
alkej-1008	242	25	in	in	ADP
alkej-1008	242	26	step	step	NOUN
alkej-1008	242	27	(	(	PUNCT
alkej-1008	242	28	2	2	NUM
alkej-1008	242	29	)	)	PUNCT
alkej-1008	242	30	,	,	PUNCT
alkej-1008	242	31	where	where	SCONJ
alkej-1008	242	32	a	a	DET
alkej-1008	242	33	population	population	NOUN
alkej-1008	242	34	of	of	ADP
alkej-1008	242	35	binary	binary	ADJ
alkej-1008	242	36	chromosomes	chromosome	NOUN
alkej-1008	242	37	is	be	AUX
alkej-1008	242	38	created	create	VERB
alkej-1008	242	39	during	during	ADP
alkej-1008	242	40	the	the	DET
alkej-1008	242	41	initial	initial	ADJ
alkej-1008	242	42	population	population	NOUN
alkej-1008	242	43	generation	generation	NOUN
alkej-1008	242	44	step	step	NOUN
alkej-1008	242	45	.	.	PUNCT
alkej-1008	243	1	each	each	DET
alkej-1008	243	2	possible	possible	ADJ
alkej-1008	243	3	feature	feature	NOUN
alkej-1008	243	4	subset	subset	NOUN
alkej-1008	243	5	is	be	AUX
alkej-1008	243	6	represented	represent	VERB
alkej-1008	243	7	by	by	ADP
alkej-1008	243	8	a	a	DET
alkej-1008	243	9	chromosome	chromosome	NOUN
alkej-1008	243	10	,	,	PUNCT
alkej-1008	243	11	and	and	CCONJ
alkej-1008	243	12	a	a	DET
alkej-1008	243	13	binary	binary	ADJ
alkej-1008	243	14	value	value	NOUN
alkej-1008	243	15	is	be	AUX
alkej-1008	243	16	assigned	assign	VERB
alkej-1008	243	17	to	to	ADP
alkej-1008	243	18	each	each	DET
alkej-1008	243	19	feature	feature	NOUN
alkej-1008	243	20	:	:	PUNCT
alkej-1008	243	21	(	(	PUNCT
alkej-1008	243	22	1	1	X
alkej-1008	243	23	)	)	PUNCT
alkej-1008	243	24	if	if	SCONJ
alkej-1008	243	25	the	the	DET
alkej-1008	243	26	feature	feature	NOUN
alkej-1008	243	27	is	be	AUX
alkej-1008	243	28	selected	select	VERB
alkej-1008	243	29	;	;	PUNCT
alkej-1008	243	30	otherwise	otherwise	ADV
alkej-1008	243	31	,	,	PUNCT
alkej-1008	243	32	(	(	PUNCT
alkej-1008	243	33	0	0	NUM
alkej-1008	243	34	)	)	PUNCT
alkej-1008	243	35	.	.	PUNCT
alkej-1008	244	1	step	step	NOUN
alkej-1008	244	2	(	(	PUNCT
alkej-1008	244	3	3	3	X
alkej-1008	244	4	)	)	PUNCT
alkej-1008	244	5	iterates	iterate	VERB
alkej-1008	244	6	all	all	DET
alkej-1008	244	7	ga	ga	NOUN
alkej-1008	244	8	solutions	solution	NOUN
alkej-1008	244	9	whilst	whilst	SCONJ
alkej-1008	244	10	performing	perform	VERB
alkej-1008	244	11	the	the	DET
alkej-1008	244	12	fitness	fitness	NOUN
alkej-1008	244	13	evaluation	evaluation	NOUN
alkej-1008	244	14	using	use	VERB
alkej-1008	244	15	a	a	DET
alkej-1008	244	16	voting	voting	NOUN
alkej-1008	244	17	method	method	NOUN
alkej-1008	244	18	in	in	ADP
alkej-1008	244	19	step	step	NOUN
alkej-1008	244	20	(	(	PUNCT
alkej-1008	244	21	4	4	NUM
alkej-1008	244	22	)	)	PUNCT
alkej-1008	244	23	.	.	PUNCT
alkej-1008	245	1	for	for	ADP
alkej-1008	245	2	each	each	DET
alkej-1008	245	3	chromosome	chromosome	NOUN
alkej-1008	245	4	,	,	PUNCT
alkej-1008	245	5	the	the	DET
alkej-1008	245	6	subset	subset	NOUN
alkej-1008	245	7	of	of	ADP
alkej-1008	245	8	selected	select	VERB
alkej-1008	245	9	features	feature	NOUN
alkej-1008	245	10	is	be	AUX
alkej-1008	245	11	used	use	VERB
alkej-1008	245	12	to	to	PART
alkej-1008	245	13	train	train	VERB
alkej-1008	245	14	the	the	DET
alkej-1008	245	15	ensemble	ensemble	ADJ
alkej-1008	245	16	set	set	NOUN
alkej-1008	245	17	of	of	ADP
alkej-1008	245	18	classifiers	classifier	NOUN
alkej-1008	245	19	,	,	PUNCT
alkej-1008	245	20	which	which	PRON
alkej-1008	245	21	is	be	AUX
alkej-1008	245	22	formed	form	VERB
alkej-1008	245	23	by	by	ADP
alkej-1008	245	24	combining	combine	VERB
alkej-1008	245	25	svm	svm	PROPN
alkej-1008	245	26	,	,	PUNCT
alkej-1008	245	27	rf	rf	ADJ
alkej-1008	245	28	,	,	PUNCT
alkej-1008	245	29	xgboost	xgboost	ADV
alkej-1008	245	30	and	and	CCONJ
alkej-1008	245	31	adaboost	adaboost	ADV
alkej-1008	245	32	.	.	PUNCT
alkej-1008	246	1	the	the	DET
alkej-1008	246	2	classifier	classifier	NOUN
alkej-1008	246	3	’s	’s	PART
alkej-1008	246	4	performance	performance	NOUN
alkej-1008	246	5	is	be	AUX
alkej-1008	246	6	evaluated	evaluate	VERB
alkej-1008	246	7	using	use	VERB
alkej-1008	246	8	key	key	ADJ
alkej-1008	246	9	metrics	metric	NOUN
alkej-1008	246	10	such	such	ADJ
alkej-1008	246	11	as	as	ADP
alkej-1008	246	12	accuracy	accuracy	NOUN
alkej-1008	246	13	,	,	PUNCT
alkej-1008	246	14	precision	precision	NOUN
alkej-1008	246	15	and	and	CCONJ
alkej-1008	246	16	the	the	DET
alkej-1008	246	17	f1	f1	PROPN
alkej-1008	246	18	score	score	NOUN
alkej-1008	246	19	.	.	PUNCT
alkej-1008	247	1	these	these	DET
alkej-1008	247	2	metrics	metric	NOUN
alkej-1008	247	3	are	be	AUX
alkej-1008	247	4	used	use	VERB
alkej-1008	247	5	as	as	ADP
alkej-1008	247	6	the	the	DET
alkej-1008	247	7	fitness	fitness	NOUN
alkej-1008	247	8	function	function	NOUN
alkej-1008	247	9	to	to	PART
alkej-1008	247	10	determine	determine	VERB
alkej-1008	247	11	the	the	DET
alkej-1008	247	12	quality	quality	NOUN
alkej-1008	247	13	of	of	ADP
alkej-1008	247	14	the	the	DET
alkej-1008	247	15	feature	feature	NOUN
alkej-1008	247	16	subset	subset	NOUN
alkej-1008	247	17	.	.	PUNCT
alkej-1008	248	1	step	step	NOUN
alkej-1008	248	2	(	(	PUNCT
alkej-1008	248	3	5	5	NUM
alkej-1008	248	4	)	)	PUNCT
alkej-1008	248	5	optimises	optimise	VERB
alkej-1008	248	6	feature	feature	NOUN
alkej-1008	248	7	selection	selection	NOUN
alkej-1008	248	8	by	by	ADP
alkej-1008	248	9	the	the	DET
alkej-1008	248	10	ga	ga	PROPN
alkej-1008	248	11	through	through	ADP
alkej-1008	248	12	the	the	DET
alkej-1008	248	13	following	follow	VERB
alkej-1008	248	14	three	three	NUM
alkej-1008	248	15	main	main	ADJ
alkej-1008	248	16	operations	operation	NOUN
alkej-1008	248	17	:	:	PUNCT
alkej-1008	248	18	selection	selection	NOUN
alkej-1008	248	19	,	,	PUNCT
alkej-1008	248	20	crossover	crossover	NOUN
alkej-1008	248	21	and	and	CCONJ
alkej-1008	248	22	mutation	mutation	NOUN
alkej-1008	248	23	.	.	PUNCT
alkej-1008	249	1	in	in	ADP
alkej-1008	249	2	the	the	DET
alkej-1008	249	3	selection	selection	NOUN
alkej-1008	249	4	process	process	NOUN
alkej-1008	249	5	,	,	PUNCT
alkej-1008	249	6	chromosomes	chromosome	NOUN
alkej-1008	249	7	are	be	AUX
alkej-1008	249	8	chosen	choose	VERB
alkej-1008	249	9	on	on	ADP
alkej-1008	249	10	the	the	DET
alkej-1008	249	11	basis	basis	NOUN
alkej-1008	249	12	of	of	ADP
alkej-1008	249	13	their	their	PRON
alkej-1008	249	14	fitness	fitness	NOUN
alkej-1008	249	15	scores	score	NOUN
alkej-1008	249	16	using	use	VERB
alkej-1008	249	17	the	the	DET
alkej-1008	249	18	roulette	roulette	NOUN
alkej-1008	249	19	wheel	wheel	NOUN
alkej-1008	249	20	method	method	NOUN
alkej-1008	249	21	.	.	PUNCT
alkej-1008	250	1	diversity	diversity	NOUN
alkej-1008	250	2	is	be	AUX
alkej-1008	250	3	introduced	introduce	VERB
alkej-1008	250	4	by	by	ADP
alkej-1008	250	5	crossover	crossover	NOUN
alkej-1008	250	6	and	and	CCONJ
alkej-1008	250	7	algorithm	algorithm	NOUN
alkej-1008	250	8	2	2	NUM
alkej-1008	250	9	:	:	PUNCT
alkej-1008	250	10	genkmeans	genkmean	NOUN
alkej-1008	250	11	input	input	NOUN
alkej-1008	250	12	:	:	PUNCT
alkej-1008	250	13	pre	pre	ADJ
alkej-1008	250	14	-	-	ADJ
alkej-1008	250	15	processed	processed	ADJ
alkej-1008	250	16	dataset	dataset	NOUN
alkej-1008	250	17	(	(	PUNCT
alkej-1008	250	18	dp	dp	NOUN
alkej-1008	250	19	)	)	PUNCT
alkej-1008	250	20	.	.	PUNCT
alkej-1008	251	1	the	the	DET
alkej-1008	251	2	number	number	NOUN
alkej-1008	251	3	of	of	ADP
alkej-1008	251	4	clusters	cluster	NOUN
alkej-1008	251	5	(	(	PUNCT
alkej-1008	251	6	k	k	NOUN
alkej-1008	251	7	)	)	PUNCT
alkej-1008	251	8	obtained	obtain	VERB
alkej-1008	251	9	using	use	VERB
alkej-1008	251	10	the	the	DET
alkej-1008	251	11	elbow	elbow	NOUN
alkej-1008	251	12	method	method	NOUN
alkej-1008	251	13	.	.	PUNCT
alkej-1008	252	1	output	output	NOUN
alkej-1008	252	2	:	:	PUNCT
alkej-1008	252	3	•	•	NUM
alkej-1008	252	4	best	good	ADJ
alkej-1008	252	5	feature	feature	NOUN
alkej-1008	252	6	subset	subset	VERB
alkej-1008	252	7	fbest	fb	ADJ
alkej-1008	252	8	{	{	PUNCT
alkej-1008	252	9	f1	f1	NOUN
alkej-1008	252	10	,	,	PUNCT
alkej-1008	252	11	f2	f2	PROPN
alkej-1008	252	12	...	...	PUNCT
alkej-1008	252	13	,	,	PUNCT
alkej-1008	252	14	fm	fm	NOUN
alkej-1008	252	15	}	}	SYM
alkej-1008	252	16	•	•	NUM
alkej-1008	252	17	cluster	cluster	NOUN
alkej-1008	252	18	centres	centre	NOUN
alkej-1008	252	19	=	=	SYM
alkej-1008	252	20	{	{	PUNCT
alkej-1008	252	21	c1	c1	PROPN
alkej-1008	252	22	,	,	PUNCT
alkej-1008	252	23	c2	c2	PROPN
alkej-1008	252	24	...	...	PUNCT
alkej-1008	252	25	,	,	PUNCT
alkej-1008	252	26	ck	ck	ADJ
alkej-1008	252	27	}	}	PUNCT
alkej-1008	252	28	begin	begin	VERB
alkej-1008	252	29	:	:	PUNCT
alkej-1008	252	30	1	1	X
alkej-1008	252	31	.	.	X
alkej-1008	252	32	generate	generate	VERB
alkej-1008	252	33	initial	initial	ADJ
alkej-1008	252	34	population	population	NOUN
alkej-1008	252	35	p	p	X
alkej-1008	252	36	=	=	X
alkej-1008	252	37	{	{	PUNCT
alkej-1008	252	38	ch1	ch1	PROPN
alkej-1008	252	39	,	,	PUNCT
alkej-1008	252	40	ch2	ch2	PROPN
alkej-1008	252	41	...	...	PROPN
alkej-1008	252	42	,	,	PUNCT
alkej-1008	252	43	chp	chp	PROPN
alkej-1008	252	44	}	}	PUNCT
alkej-1008	252	45	,	,	PUNCT
alkej-1008	252	46	where	where	SCONJ
alkej-1008	252	47	each	each	DET
alkej-1008	252	48	chromosome	chromosome	NOUN
alkej-1008	252	49	is	be	AUX
alkej-1008	252	50	a	a	DET
alkej-1008	252	51	binary	binary	ADJ
alkej-1008	252	52	vector	vector	NOUN
alkej-1008	252	53	representing	represent	VERB
alkej-1008	252	54	the	the	DET
alkej-1008	252	55	selected	select	VERB
alkej-1008	252	56	features	feature	NOUN
alkej-1008	252	57	.	.	PUNCT
alkej-1008	253	1	2	2	X
alkej-1008	253	2	.	.	X
alkej-1008	253	3	without	without	ADP
alkej-1008	253	4	stopping	stop	VERB
alkej-1008	253	5	the	the	DET
alkej-1008	253	6	condition	condition	NOUN
alkej-1008	253	7	,	,	PUNCT
alkej-1008	253	8	do	do	AUX
alkej-1008	253	9	steps	step	NOUN
alkej-1008	253	10	3–4	3–4	NUM
alkej-1008	253	11	.	.	NOUN
alkej-1008	253	12	3	3	NUM
alkej-1008	253	13	.	.	X
alkej-1008	254	1	for	for	ADP
alkej-1008	254	2	all	all	DET
alkej-1008	254	3	solutions	solution	NOUN
alkej-1008	254	4	in	in	ADP
alkej-1008	254	5	(	(	PUNCT
alkej-1008	254	6	p	p	NOUN
alkej-1008	254	7	)	)	PUNCT
alkej-1008	254	8	=	=	SYM
alkej-1008	254	9	{	{	PUNCT
alkej-1008	254	10	ch1	ch1	PROPN
alkej-1008	254	11	…	…	SYM
alkej-1008	254	12	chp	chp	NOUN
alkej-1008	254	13	}	}	PUNCT
alkej-1008	254	14	do	do	AUX
alkej-1008	254	15	perform	perform	VERB
alkej-1008	254	16	k	k	NOUN
alkej-1008	254	17	-	-	PUNCT
alkej-1008	254	18	means	means	NOUN
alkej-1008	254	19	clustering	clustering	NOUN
alkej-1008	254	20	using	use	VERB
alkej-1008	254	21	ch(i	ch(i	PUNCT
alkej-1008	254	22	)	)	PUNCT
alkej-1008	254	23	.	.	PUNCT
alkej-1008	255	1	use	use	VERB
alkej-1008	255	2	silhouette	silhouette	NOUN
alkej-1008	255	3	score	score	NOUN
alkej-1008	255	4	as	as	ADP
alkej-1008	255	5	the	the	DET
alkej-1008	255	6	fitness	fitness	NOUN
alkej-1008	255	7	function	function	NOUN
alkej-1008	255	8	:	:	PUNCT
alkej-1008	255	9	(	(	PUNCT
alkej-1008	255	10	)	)	PUNCT
alkej-1008	255	11	(	(	PUNCT
alkej-1008	255	12	)	)	PUNCT
alkej-1008	255	13	(	(	PUNCT
alkej-1008	255	14	)	)	PUNCT
alkej-1008	255	15	(	(	PUNCT
alkej-1008	255	16	)	)	PUNCT
alkej-1008	255	17	(	(	PUNCT
alkej-1008	255	18	)	)	SYM
alkej-1008	255	19	1	1	NUM
alkej-1008	255	20	1	1	NUM
alkej-1008	255	21	max	max	NOUN
alkej-1008	255	22	,	,	PUNCT
alkej-1008	255	23	n	n	CCONJ
alkej-1008	256	1	i	i	NOUN
alkej-1008	256	2	b	b	VERB
alkej-1008	256	3	i	i	PRON
alkej-1008	256	4	a	a	PRON
alkej-1008	256	5	i	i	PRON
alkej-1008	256	6	s	s	VERB
alkej-1008	256	7	n	n	PRON
alkej-1008	256	8	a	a	DET
alkej-1008	256	9	i	i	NOUN
alkej-1008	256	10	b	b	NOUN
alkej-1008	256	11	i=	i=	NOUN
alkej-1008	256	12	−	−	PROPN
alkej-1008	257	1	=	=	SYM
alkej-1008	257	2			X
alkej-1008	257	3	.	.	PUNCT
alkej-1008	258	1	4	4	X
alkej-1008	258	2	.	.	X
alkej-1008	258	3	perform	perform	VERB
alkej-1008	258	4	selection	selection	NOUN
alkej-1008	258	5	,	,	PUNCT
alkej-1008	258	6	crossover	crossover	NOUN
alkej-1008	258	7	and	and	CCONJ
alkej-1008	258	8	mutation	mutation	NOUN
alkej-1008	258	9	.	.	PUNCT
alkej-1008	259	1	5	5	X
alkej-1008	259	2	.	.	X
alkej-1008	259	3	save	save	VERB
alkej-1008	259	4	the	the	DET
alkej-1008	259	5	best	good	ADJ
alkej-1008	259	6	features	feature	NOUN
alkej-1008	259	7	f	f	NOUN
alkej-1008	260	1	=	=	PRON
alkej-1008	260	2	{	{	PUNCT
alkej-1008	260	3	f0	f0	PROPN
alkej-1008	260	4	,	,	PUNCT
alkej-1008	260	5	f1,	f1,	NOUN
alkej-1008	260	6	...	...	PUNCT
alkej-1008	260	7	fm	fm	NOUN
alkej-1008	260	8	}	}	PUNCT
alkej-1008	260	9	and	and	CCONJ
alkej-1008	260	10	the	the	DET
alkej-1008	260	11	cluster	cluster	NOUN
alkej-1008	260	12	centres	centre	VERB
alkej-1008	260	13	c	c	NOUN
alkej-1008	260	14	=	=	SYM
alkej-1008	260	15	{	{	PUNCT
alkej-1008	260	16	c1	c1	PROPN
alkej-1008	260	17	,	,	PUNCT
alkej-1008	260	18	c2,	c2,	NOUN
alkej-1008	260	19	...	...	X
alkej-1008	260	20	ck	ck	ADJ
alkej-1008	260	21	}	}	PUNCT
alkej-1008	260	22	.	.	PUNCT
alkej-1008	261	1	5	5	X
alkej-1008	261	2	.	.	X
alkej-1008	261	3	end	end	PROPN
alkej-1008	261	4	ali	ali	PROPN
alkej-1008	261	5	raheem	raheem	PROPN
alkej-1008	261	6	al	al	PROPN
alkej-1008	261	7	-	-	PROPN
alkej-1008	261	8	hafiz	hafiz	PROPN
alkej-1008	261	9	al	al	PROPN
alkej-1008	261	10	-	-	PUNCT
alkej-1008	261	11	khwarizmi	khwarizmi	PROPN
alkej-1008	261	12	engineering	engineering	NOUN
alkej-1008	261	13	journal	journal	PROPN
alkej-1008	261	14	,	,	PUNCT
alkej-1008	261	15	vol	vol	NOUN
alkej-1008	261	16	.	.	PROPN
alkej-1008	261	17	21	21	NUM
alkej-1008	261	18	,	,	PUNCT
alkej-1008	261	19	no.2	no.2	PROPN
alkej-1008	261	20	,	,	PUNCT
alkej-1008	261	21	pp	pp	ADJ
alkej-1008	261	22	.	.	PUNCT
alkej-1008	262	1	117	117	NUM
alkej-1008	262	2	-	-	SYM
alkej-1008	262	3	135	135	NUM
alkej-1008	262	4	(	(	PUNCT
alkej-1008	262	5	2025	2025	NUM
alkej-1008	262	6	)	)	PUNCT
alkej-1008	262	7	125	125	NUM
alkej-1008	262	8	mutation	mutation	NOUN
alkej-1008	262	9	,	,	PUNCT
alkej-1008	262	10	allowing	allow	VERB
alkej-1008	262	11	the	the	DET
alkej-1008	262	12	algorithm	algorithm	NOUN
alkej-1008	262	13	to	to	PART
alkej-1008	262	14	explore	explore	VERB
alkej-1008	262	15	new	new	ADJ
alkej-1008	262	16	feature	feature	NOUN
alkej-1008	262	17	combinations	combination	NOUN
alkej-1008	262	18	.	.	PUNCT
alkej-1008	263	1	the	the	DET
alkej-1008	263	2	population	population	NOUN
alkej-1008	263	3	is	be	AUX
alkej-1008	263	4	updated	update	VERB
alkej-1008	263	5	at	at	ADP
alkej-1008	263	6	each	each	DET
alkej-1008	263	7	iteration	iteration	NOUN
alkej-1008	263	8	,	,	PUNCT
alkej-1008	263	9	and	and	CCONJ
alkej-1008	263	10	the	the	DET
alkej-1008	263	11	best	good	ADJ
alkej-1008	263	12	chromosome	chromosome	NOUN
alkej-1008	263	13	is	be	AUX
alkej-1008	263	14	retained	retain	VERB
alkej-1008	263	15	on	on	ADP
alkej-1008	263	16	the	the	DET
alkej-1008	263	17	basis	basis	NOUN
alkej-1008	263	18	of	of	ADP
alkej-1008	263	19	fitness	fitness	NOUN
alkej-1008	263	20	.	.	PUNCT
alkej-1008	264	1	finally	finally	ADV
alkej-1008	264	2	,	,	PUNCT
alkej-1008	264	3	the	the	DET
alkej-1008	264	4	output	output	NOUN
alkej-1008	264	5	step	step	NOUN
alkej-1008	264	6	obtains	obtain	VERB
alkej-1008	264	7	the	the	DET
alkej-1008	264	8	best	good	ADJ
alkej-1008	264	9	feature	feature	NOUN
alkej-1008	264	10	subset	subset	NOUN
alkej-1008	264	11	and	and	CCONJ
alkej-1008	264	12	the	the	DET
alkej-1008	264	13	trained	train	VERB
alkej-1008	264	14	ensemble	ensemble	ADJ
alkej-1008	264	15	models	model	NOUN
alkej-1008	264	16	(	(	PUNCT
alkej-1008	264	17	based	base	VERB
alkej-1008	264	18	on	on	ADP
alkej-1008	264	19	the	the	DET
alkej-1008	264	20	best	good	ADJ
alkej-1008	264	21	feature	feature	NOUN
alkej-1008	264	22	selection	selection	NOUN
alkej-1008	264	23	)	)	PUNCT
alkej-1008	264	24	.	.	PUNCT
alkej-1008	265	1	this	this	DET
alkej-1008	265	2	step	step	NOUN
alkej-1008	265	3	ensures	ensure	VERB
alkej-1008	265	4	that	that	SCONJ
alkej-1008	265	5	the	the	DET
alkej-1008	265	6	optimal	optimal	ADJ
alkej-1008	265	7	combination	combination	NOUN
alkej-1008	265	8	of	of	ADP
alkej-1008	265	9	features	feature	NOUN
alkej-1008	265	10	and	and	CCONJ
alkej-1008	265	11	classifiers	classifier	NOUN
alkej-1008	265	12	is	be	AUX
alkej-1008	265	13	used	use	VERB
alkej-1008	265	14	for	for	ADP
alkej-1008	265	15	future	future	ADJ
alkej-1008	265	16	predictions	prediction	NOUN
alkej-1008	265	17	.	.	PUNCT
alkej-1008	266	1	5	5	X
alkej-1008	266	2	.	.	X
alkej-1008	266	3	dataset	dataset	VERB
alkej-1008	266	4	this	this	DET
alkej-1008	266	5	study	study	NOUN
alkej-1008	266	6	uses	use	VERB
alkej-1008	266	7	a	a	DET
alkej-1008	266	8	dataset	dataset	NOUN
alkej-1008	266	9	with	with	ADP
alkej-1008	266	10	11,430	11,430	NUM
alkej-1008	266	11	urls	url	NOUN
alkej-1008	266	12	and	and	CCONJ
alkej-1008	266	13	87	87	NUM
alkej-1008	266	14	features	feature	NOUN
alkej-1008	266	15	extracted	extract	VERB
alkej-1008	266	16	for	for	ADP
alkej-1008	266	17	phishing	phishe	VERB
alkej-1008	266	18	detection	detection	NOUN
alkej-1008	266	19	.	.	PUNCT
alkej-1008	267	1	these	these	DET
alkej-1008	267	2	features	feature	NOUN
alkej-1008	267	3	are	be	AUX
alkej-1008	267	4	categorised	categorise	VERB
alkej-1008	267	5	into	into	ADP
alkej-1008	267	6	the	the	DET
alkej-1008	267	7	following	follow	VERB
alkej-1008	267	8	three	three	NUM
alkej-1008	267	9	primary	primary	ADJ
alkej-1008	267	10	groups	group	NOUN
alkej-1008	267	11	:	:	PUNCT
alkej-1008	267	12	content	content	NOUN
alkej-1008	267	13	features	feature	NOUN
alkej-1008	267	14	(	(	PUNCT
alkej-1008	267	15	24	24	NUM
alkej-1008	267	16	)	)	PUNCT
alkej-1008	267	17	,	,	PUNCT
alkej-1008	267	18	url	url	NOUN
alkej-1008	267	19	structure	structure	NOUN
alkej-1008	267	20	and	and	CCONJ
alkej-1008	267	21	syntax	syntax	NOUN
alkej-1008	267	22	features	feature	NOUN
alkej-1008	267	23	(	(	PUNCT
alkej-1008	267	24	56	56	NUM
alkej-1008	267	25	)	)	PUNCT
alkej-1008	267	26	and	and	CCONJ
alkej-1008	267	27	external	external	ADJ
alkej-1008	267	28	service	service	NOUN
alkej-1008	267	29	features	feature	NOUN
alkej-1008	267	30	(	(	PUNCT
alkej-1008	267	31	7	7	NUM
alkej-1008	267	32	)	)	PUNCT
alkej-1008	267	33	.	.	PUNCT
alkej-1008	268	1	the	the	DET
alkej-1008	268	2	url	url	NOUN
alkej-1008	268	3	structure	structure	NOUN
alkej-1008	268	4	and	and	CCONJ
alkej-1008	268	5	syntax	syntax	NOUN
alkej-1008	268	6	features	feature	NOUN
alkej-1008	268	7	capture	capture	VERB
alkej-1008	268	8	the	the	DET
alkej-1008	268	9	patterns	pattern	NOUN
alkej-1008	268	10	of	of	ADP
alkej-1008	268	11	the	the	DET
alkej-1008	268	12	construction	construction	NOUN
alkej-1008	268	13	of	of	ADP
alkej-1008	268	14	the	the	DET
alkej-1008	268	15	urls	url	NOUN
alkej-1008	268	16	to	to	PART
alkej-1008	268	17	identify	identify	VERB
alkej-1008	268	18	phishing	phishe	VERB
alkej-1008	268	19	attempts	attempt	NOUN
alkej-1008	268	20	.	.	PUNCT
alkej-1008	269	1	the	the	DET
alkej-1008	269	2	model	model	NOUN
alkej-1008	269	3	is	be	AUX
alkej-1008	269	4	trained	train	VERB
alkej-1008	269	5	on	on	ADP
alkej-1008	269	6	webpages	webpage	NOUN
alkej-1008	269	7	associated	associate	VERB
alkej-1008	269	8	with	with	ADP
alkej-1008	269	9	urls	url	NOUN
alkej-1008	269	10	.	.	PUNCT
alkej-1008	270	1	additionally	additionally	ADV
alkej-1008	270	2	,	,	PUNCT
alkej-1008	270	3	content	content	NOUN
alkej-1008	270	4	features	feature	NOUN
alkej-1008	270	5	are	be	AUX
alkej-1008	270	6	produced	produce	VERB
alkej-1008	270	7	,	,	PUNCT
alkej-1008	270	8	which	which	PRON
alkej-1008	270	9	can	can	AUX
alkej-1008	270	10	be	be	AUX
alkej-1008	270	11	used	use	VERB
alkej-1008	270	12	to	to	PART
alkej-1008	270	13	assess	assess	VERB
alkej-1008	270	14	if	if	SCONJ
alkej-1008	270	15	phishing	phishe	VERB
alkej-1008	270	16	activity	activity	NOUN
alkej-1008	270	17	is	be	AUX
alkej-1008	270	18	indicated	indicate	VERB
alkej-1008	270	19	by	by	ADP
alkej-1008	270	20	the	the	DET
alkej-1008	270	21	content	content	NOUN
alkej-1008	270	22	.	.	PUNCT
alkej-1008	271	1	the	the	DET
alkej-1008	271	2	classification	classification	NOUN
alkej-1008	271	3	process	process	NOUN
alkej-1008	271	4	is	be	AUX
alkej-1008	271	5	extended	extend	VERB
alkej-1008	271	6	to	to	PART
alkej-1008	271	7	include	include	VERB
alkej-1008	271	8	external	external	ADJ
alkej-1008	271	9	service	service	NOUN
alkej-1008	271	10	features	feature	NOUN
alkej-1008	271	11	from	from	ADP
alkej-1008	271	12	third	third	ADJ
alkej-1008	271	13	-	-	PUNCT
alkej-1008	271	14	party	party	NOUN
alkej-1008	271	15	sources	source	NOUN
alkej-1008	271	16	,	,	PUNCT
alkej-1008	271	17	such	such	ADJ
alkej-1008	271	18	as	as	ADP
alkej-1008	271	19	reputation	reputation	NOUN
alkej-1008	271	20	scores	score	NOUN
alkej-1008	271	21	.	.	PUNCT
alkej-1008	272	1	to	to	PART
alkej-1008	272	2	clearly	clearly	ADV
alkej-1008	272	3	understand	understand	VERB
alkej-1008	272	4	the	the	DET
alkej-1008	272	5	results	result	NOUN
alkej-1008	272	6	of	of	ADP
alkej-1008	272	7	the	the	DET
alkej-1008	272	8	classifiers	classifier	NOUN
alkej-1008	272	9	,	,	PUNCT
alkej-1008	272	10	the	the	DET
alkej-1008	272	11	dataset	dataset	NOUN
alkej-1008	272	12	and	and	CCONJ
alkej-1008	272	13	its	its	PRON
alkej-1008	272	14	components	component	NOUN
alkej-1008	272	15	must	must	AUX
alkej-1008	272	16	first	first	ADV
alkej-1008	272	17	be	be	AUX
alkej-1008	272	18	comprehended	comprehend	VERB
alkej-1008	272	19	.	.	PUNCT
alkej-1008	273	1	therefore	therefore	ADV
alkej-1008	273	2	,	,	PUNCT
alkej-1008	273	3	a	a	DET
alkej-1008	273	4	detailed	detailed	ADJ
alkej-1008	273	5	summary	summary	NOUN
alkej-1008	273	6	study	study	NOUN
alkej-1008	273	7	of	of	ADP
alkej-1008	273	8	the	the	DET
alkej-1008	273	9	components	component	NOUN
alkej-1008	273	10	of	of	ADP
alkej-1008	273	11	the	the	DET
alkej-1008	273	12	dataset	dataset	NOUN
alkej-1008	273	13	and	and	CCONJ
alkej-1008	273	14	their	their	PRON
alkej-1008	273	15	respective	respective	ADJ
alkej-1008	273	16	proportions	proportion	NOUN
alkej-1008	273	17	was	be	AUX
alkej-1008	273	18	conducted	conduct	VERB
alkej-1008	273	19	.	.	PUNCT
alkej-1008	274	1	the	the	DET
alkej-1008	274	2	dataset	dataset	NOUN
alkej-1008	274	3	is	be	AUX
alkej-1008	274	4	balanced	balance	VERB
alkej-1008	274	5	,	,	PUNCT
alkej-1008	274	6	with	with	ADP
alkej-1008	274	7	50	50	NUM
alkej-1008	274	8	%	%	NOUN
alkej-1008	274	9	phishing	phishe	VERB
alkej-1008	274	10	urls	url	NOUN
alkej-1008	274	11	and	and	CCONJ
alkej-1008	274	12	50	50	NUM
alkej-1008	274	13	%	%	NOUN
alkej-1008	274	14	legitimate	legitimate	ADJ
alkej-1008	274	15	urls	url	NOUN
alkej-1008	274	16	,	,	PUNCT
alkej-1008	274	17	ensuring	ensure	VERB
alkej-1008	274	18	that	that	SCONJ
alkej-1008	274	19	one	one	NUM
alkej-1008	274	20	class	class	NOUN
alkej-1008	274	21	is	be	AUX
alkej-1008	274	22	not	not	PART
alkej-1008	274	23	favoured	favour	VERB
alkej-1008	274	24	over	over	ADP
alkej-1008	274	25	the	the	DET
alkej-1008	274	26	others	other	NOUN
alkej-1008	274	27	,	,	PUNCT
alkej-1008	274	28	as	as	SCONJ
alkej-1008	274	29	shown	show	VERB
alkej-1008	274	30	in	in	ADP
alkej-1008	274	31	fig	fig	NOUN
alkej-1008	274	32	.	.	PUNCT
alkej-1008	275	1	2	2	X
alkej-1008	275	2	.	.	X
alkej-1008	275	3	this	this	DET
alkej-1008	275	4	balance	balance	NOUN
alkej-1008	275	5	is	be	AUX
alkej-1008	275	6	critical	critical	ADJ
alkej-1008	275	7	for	for	ADP
alkej-1008	275	8	unbiased	unbiased	ADJ
alkej-1008	275	9	classification	classification	NOUN
alkej-1008	275	10	results	result	NOUN
alkej-1008	275	11	.	.	PUNCT
alkej-1008	276	1	the	the	DET
alkej-1008	276	2	dataset	dataset	NOUN
alkej-1008	276	3	,	,	PUNCT
alkej-1008	276	4	sourced	source	VERB
alkej-1008	276	5	from	from	ADP
alkej-1008	276	6	kaggle	kaggle	PROPN
alkej-1008	276	7	[	[	X
alkej-1008	276	8	46	46	NUM
alkej-1008	276	9	]	]	PUNCT
alkej-1008	276	10	,	,	PUNCT
alkej-1008	276	11	is	be	AUX
alkej-1008	276	12	widely	widely	ADV
alkej-1008	276	13	recognised	recognise	VERB
alkej-1008	276	14	as	as	ADP
alkej-1008	276	15	a	a	DET
alkej-1008	276	16	standard	standard	ADJ
alkej-1008	276	17	benchmark	benchmark	NOUN
alkej-1008	276	18	for	for	ADP
alkej-1008	276	19	phishing	phishe	VERB
alkej-1008	276	20	detection	detection	NOUN
alkej-1008	276	21	,	,	PUNCT
alkej-1008	276	22	rendering	render	VERB
alkej-1008	276	23	it	it	PRON
alkej-1008	276	24	suitable	suitable	ADJ
alkej-1008	276	25	for	for	ADP
alkej-1008	276	26	reproducibility	reproducibility	NOUN
alkej-1008	276	27	and	and	CCONJ
alkej-1008	276	28	comparison	comparison	NOUN
alkej-1008	276	29	across	across	ADP
alkej-1008	276	30	studies	study	NOUN
alkej-1008	276	31	.	.	PUNCT
alkej-1008	277	1	fig	fig	NOUN
alkej-1008	277	2	.	.	PUNCT
alkej-1008	278	1	2	2	X
alkej-1008	278	2	.	.	X
alkej-1008	278	3	dataset	dataset	NOUN
alkej-1008	278	4	class	class	NOUN
alkej-1008	278	5	distribution	distribution	NOUN
alkej-1008	278	6	for	for	ADP
alkej-1008	278	7	phishing	phishe	VERB
alkej-1008	278	8	6	6	NUM
alkej-1008	278	9	.	.	PUNCT
alkej-1008	279	1	metrics	metric	NOUN
alkej-1008	279	2	and	and	CCONJ
alkej-1008	279	3	results	result	VERB
alkej-1008	279	4	6.1	6.1	NUM
alkej-1008	279	5	.	.	PUNCT
alkej-1008	280	1	metrics	metric	NOUN
alkej-1008	280	2	the	the	DET
alkej-1008	280	3	proposed	propose	VERB
alkej-1008	280	4	work	work	NOUN
alkej-1008	280	5	evaluates	evaluate	VERB
alkej-1008	280	6	the	the	DET
alkej-1008	280	7	performance	performance	NOUN
alkej-1008	280	8	of	of	ADP
alkej-1008	280	9	the	the	DET
alkej-1008	280	10	phishing	phishe	VERB
alkej-1008	280	11	detection	detection	NOUN
alkej-1008	280	12	classifiers	classifier	NOUN
alkej-1008	280	13	to	to	PART
alkej-1008	280	14	ensure	ensure	VERB
alkej-1008	280	15	that	that	SCONJ
alkej-1008	280	16	accurate	accurate	ADJ
alkej-1008	280	17	identification	identification	NOUN
alkej-1008	280	18	of	of	ADP
alkej-1008	280	19	phishing	phishe	VERB
alkej-1008	280	20	websites	website	NOUN
alkej-1008	280	21	is	be	AUX
alkej-1008	280	22	achieved	achieve	VERB
alkej-1008	280	23	whilst	whilst	SCONJ
alkej-1008	280	24	minimising	minimise	VERB
alkej-1008	280	25	errors	error	NOUN
alkej-1008	280	26	.	.	PUNCT
alkej-1008	281	1	several	several	ADJ
alkej-1008	281	2	metrics	metric	NOUN
alkej-1008	281	3	have	have	AUX
alkej-1008	281	4	been	be	AUX
alkej-1008	281	5	utilised	utilise	VERB
alkej-1008	281	6	to	to	PART
alkej-1008	281	7	assess	assess	VERB
alkej-1008	281	8	different	different	ADJ
alkej-1008	281	9	aspects	aspect	NOUN
alkej-1008	281	10	of	of	ADP
alkej-1008	281	11	model	model	NOUN
alkej-1008	281	12	effectiveness	effectiveness	NOUN
alkej-1008	281	13	,	,	PUNCT
alkej-1008	281	14	especially	especially	ADV
alkej-1008	281	15	in	in	ADP
alkej-1008	281	16	handling	handle	VERB
alkej-1008	281	17	the	the	DET
alkej-1008	281	18	balanced	balanced	ADJ
alkej-1008	281	19	dataset	dataset	NOUN
alkej-1008	281	20	of	of	ADP
alkej-1008	281	21	phishing	phishe	VERB
alkej-1008	281	22	and	and	CCONJ
alkej-1008	281	23	legitimate	legitimate	ADJ
alkej-1008	281	24	urls	url	NOUN
alkej-1008	281	25	.	.	PUNCT
alkej-1008	282	1	these	these	DET
alkej-1008	282	2	metrics	metric	NOUN
alkej-1008	282	3	include	include	VERB
alkej-1008	282	4	accuracy	accuracy	NOUN
alkej-1008	282	5	(	(	PUNCT
alkej-1008	282	6	acc	acc	PROPN
alkej-1008	282	7	)	)	PUNCT
alkej-1008	282	8	,	,	PUNCT
alkej-1008	282	9	which	which	PRON
alkej-1008	282	10	is	be	AUX
alkej-1008	282	11	used	use	VERB
alkej-1008	282	12	to	to	PART
alkej-1008	282	13	measure	measure	VERB
alkej-1008	282	14	the	the	DET
alkej-1008	282	15	model	model	NOUN
alkej-1008	282	16	’s	’s	PART
alkej-1008	282	17	overall	overall	ADJ
alkej-1008	282	18	correctness	correctness	NOUN
alkej-1008	282	19	;	;	PUNCT
alkej-1008	282	20	precision	precision	NOUN
alkej-1008	282	21	(	(	PUNCT
alkej-1008	282	22	p	p	NOUN
alkej-1008	282	23	)	)	PUNCT
alkej-1008	282	24	,	,	PUNCT
alkej-1008	282	25	which	which	PRON
alkej-1008	282	26	focuses	focus	VERB
alkej-1008	282	27	on	on	ADP
alkej-1008	282	28	the	the	DET
alkej-1008	282	29	accuracy	accuracy	NOUN
alkej-1008	282	30	of	of	ADP
alkej-1008	282	31	phishing	phishe	VERB
alkej-1008	282	32	predictions	prediction	NOUN
alkej-1008	282	33	;	;	PUNCT
alkej-1008	282	34	and	and	CCONJ
alkej-1008	282	35	the	the	DET
alkej-1008	282	36	f1	f1	PROPN
alkej-1008	282	37	score	score	NOUN
alkej-1008	282	38	(	(	PUNCT
alkej-1008	282	39	f1	f1	NOUN
alkej-1008	282	40	)	)	PUNCT
alkej-1008	282	41	,	,	PUNCT
alkej-1008	282	42	which	which	PRON
alkej-1008	282	43	is	be	AUX
alkej-1008	282	44	used	use	VERB
alkej-1008	282	45	to	to	PART
alkej-1008	282	46	provide	provide	VERB
alkej-1008	282	47	a	a	DET
alkej-1008	282	48	balance	balance	NOUN
alkej-1008	282	49	between	between	ADP
alkej-1008	282	50	precision	precision	NOUN
alkej-1008	282	51	and	and	CCONJ
alkej-1008	282	52	recall	recall	NOUN
alkej-1008	282	53	for	for	ADP
alkej-1008	282	54	measuring	measure	VERB
alkej-1008	282	55	the	the	DET
alkej-1008	282	56	model	model	NOUN
alkej-1008	282	57	’s	’s	PART
alkej-1008	282	58	effectiveness	effectiveness	NOUN
alkej-1008	282	59	in	in	ADP
alkej-1008	282	60	detecting	detect	VERB
alkej-1008	282	61	phishing	phishe	VERB
alkej-1008	282	62	sites	site	NOUN
alkej-1008	282	63	.	.	PUNCT
alkej-1008	283	1	these	these	DET
alkej-1008	283	2	metrics	metric	NOUN
alkej-1008	283	3	are	be	AUX
alkej-1008	283	4	formulated	formulate	VERB
alkej-1008	283	5	in	in	ADP
alkej-1008	283	6	eqs	eqs	PROPN
alkej-1008	283	7	.	.	PUNCT
alkej-1008	284	1	(	(	PUNCT
alkej-1008	284	2	1–3	1–3	NOUN
alkej-1008	284	3	)	)	PUNCT
alkej-1008	284	4	,	,	PUNCT
alkej-1008	284	5	respectively	respectively	ADV
alkej-1008	284	6	.	.	PUNCT
alkej-1008	285	1	tp	tp	ADP
alkej-1008	285	2	tn	tn	PROPN
alkej-1008	285	3	acc	acc	PROPN
alkej-1008	285	4	tp	tp	PROPN
alkej-1008	285	5	fp	fp	PROPN
alkej-1008	285	6	fn	fn	NOUN
alkej-1008	285	7	tn	tn	PROPN
alkej-1008	286	1	+	+	CCONJ
alkej-1008	286	2	=	=	PUNCT
alkej-1008	287	1	+	+	PUNCT
alkej-1008	288	1	+	+	CCONJ
alkej-1008	288	2	+	+	CCONJ
alkej-1008	288	3	,	,	PUNCT
alkej-1008	288	4	…	…	PUNCT
alkej-1008	288	5	(	(	PUNCT
alkej-1008	288	6	3	3	NUM
alkej-1008	288	7	)	)	PUNCT
alkej-1008	288	8	tp	tp	ADP
alkej-1008	288	9	p	p	NOUN
alkej-1008	288	10	tp	tp	ADP
alkej-1008	288	11	fp	fp	PROPN
alkej-1008	288	12	=	=	PUNCT
alkej-1008	288	13	+	+	PROPN
alkej-1008	288	14	,	,	PUNCT
alkej-1008	288	15	…	…	PUNCT
alkej-1008	288	16	(	(	PUNCT
alkej-1008	288	17	4	4	NUM
alkej-1008	288	18	)	)	SYM
alkej-1008	288	19	1	1	NUM
alkej-1008	288	20	2	2	NUM
alkej-1008	289	1	r	r	NOUN
alkej-1008	289	2	p	p	NOUN
alkej-1008	289	3	f	f	PROPN
alkej-1008	289	4	score	score	NOUN
alkej-1008	289	5	r	r	NOUN
alkej-1008	289	6	p	p	NOUN
alkej-1008	289	7			NOUN
alkej-1008	289	8	−	−	PROPN
alkej-1008	289	9	=	=	PUNCT
alkej-1008	289	10			PROPN
alkej-1008	289	11	+	+	CCONJ
alkej-1008	289	12	,	,	PUNCT
alkej-1008	289	13	…	…	PUNCT
alkej-1008	289	14	(	(	PUNCT
alkej-1008	289	15	5	5	NUM
alkej-1008	289	16	)	)	PUNCT
alkej-1008	289	17	where	where	SCONJ
alkej-1008	289	18	r	r	NOUN
alkej-1008	289	19	is	be	AUX
alkej-1008	289	20	the	the	DET
alkej-1008	289	21	recall	recall	NOUN
alkej-1008	289	22	function	function	NOUN
alkej-1008	289	23	and	and	CCONJ
alkej-1008	289	24	can	can	AUX
alkej-1008	289	25	be	be	AUX
alkej-1008	289	26	expressed	express	VERB
alkej-1008	289	27	as	as	ADP
alkej-1008	289	28	tp	tp	ADP
alkej-1008	289	29	r	r	NOUN
alkej-1008	289	30	tp	tp	NOUN
alkej-1008	289	31	fn	fn	NOUN
alkej-1008	290	1	=	=	PUNCT
alkej-1008	290	2	+	+	NUM
alkej-1008	290	3	,	,	PUNCT
alkej-1008	290	4	…	…	PUNCT
alkej-1008	290	5	(	(	PUNCT
alkej-1008	290	6	6	6	NUM
alkej-1008	290	7	)	)	PUNCT
alkej-1008	290	8	6.2	6.2	NUM
alkej-1008	290	9	.	.	PUNCT
alkej-1008	291	1	result	result	VERB
alkej-1008	291	2	the	the	DET
alkej-1008	291	3	results	result	NOUN
alkej-1008	291	4	presented	present	VERB
alkej-1008	291	5	in	in	ADP
alkej-1008	291	6	this	this	DET
alkej-1008	291	7	paper	paper	NOUN
alkej-1008	291	8	are	be	AUX
alkej-1008	291	9	discussed	discuss	VERB
alkej-1008	291	10	with	with	ADP
alkej-1008	291	11	two	two	NUM
alkej-1008	291	12	scenarios	scenario	NOUN
alkej-1008	291	13	.	.	PUNCT
alkej-1008	292	1	the	the	DET
alkej-1008	292	2	first	first	ADJ
alkej-1008	292	3	scenario	scenario	NOUN
alkej-1008	292	4	is	be	AUX
alkej-1008	292	5	focused	focus	VERB
alkej-1008	292	6	on	on	ADP
alkej-1008	292	7	examining	examine	VERB
alkej-1008	292	8	three	three	NUM
alkej-1008	292	9	different	different	ADJ
alkej-1008	292	10	cases	case	NOUN
alkej-1008	292	11	within	within	ADP
alkej-1008	292	12	the	the	DET
alkej-1008	292	13	same	same	ADJ
alkej-1008	292	14	proposed	propose	VERB
alkej-1008	292	15	model	model	NOUN
alkej-1008	292	16	to	to	PART
alkej-1008	292	17	demonstrate	demonstrate	VERB
alkej-1008	292	18	the	the	DET
alkej-1008	292	19	impact	impact	NOUN
alkej-1008	292	20	of	of	ADP
alkej-1008	292	21	feature	feature	NOUN
alkej-1008	292	22	selection	selection	NOUN
alkej-1008	292	23	through	through	ADP
alkej-1008	292	24	the	the	DET
alkej-1008	292	25	genetic	genetic	ADJ
alkej-1008	292	26	algorithm	algorithm	NOUN
alkej-1008	292	27	(	(	PUNCT
alkej-1008	292	28	ga	ga	PROPN
alkej-1008	292	29	)	)	PUNCT
alkej-1008	292	30	.	.	PUNCT
alkej-1008	293	1	this	this	DET
alkej-1008	293	2	selection	selection	NOUN
alkej-1008	293	3	process	process	NOUN
alkej-1008	293	4	enhances	enhance	VERB
alkej-1008	293	5	the	the	DET
alkej-1008	293	6	accuracy	accuracy	NOUN
alkej-1008	293	7	of	of	ADP
alkej-1008	293	8	phishing	phishe	VERB
alkej-1008	293	9	detection	detection	NOUN
alkej-1008	293	10	by	by	ADP
alkej-1008	293	11	combining	combine	VERB
alkej-1008	293	12	ensemble	ensemble	ADJ
alkej-1008	293	13	learning	learning	NOUN
alkej-1008	293	14	with	with	ADP
alkej-1008	293	15	the	the	DET
alkej-1008	293	16	genetic	genetic	ADJ
alkej-1008	293	17	algorithm	algorithm	NOUN
alkej-1008	293	18	.	.	PUNCT
alkej-1008	294	1	the	the	DET
alkej-1008	294	2	second	second	ADJ
alkej-1008	294	3	scenario	scenario	NOUN
alkej-1008	294	4	involves	involve	VERB
alkej-1008	294	5	comparing	compare	VERB
alkej-1008	294	6	the	the	DET
alkej-1008	294	7	proposed	propose	VERB
alkej-1008	294	8	model	model	NOUN
alkej-1008	294	9	in	in	ADP
alkej-1008	294	10	its	its	PRON
alkej-1008	294	11	various	various	ADJ
alkej-1008	294	12	configurations	configuration	NOUN
alkej-1008	294	13	with	with	ADP
alkej-1008	294	14	recent	recent	ADJ
alkej-1008	294	15	studies	study	NOUN
alkej-1008	294	16	on	on	ADP
alkej-1008	294	17	phishing	phishe	VERB
alkej-1008	294	18	detection	detection	NOUN
alkej-1008	294	19	.	.	PUNCT
alkej-1008	295	1	this	this	DET
alkej-1008	295	2	comparison	comparison	NOUN
alkej-1008	295	3	highlights	highlight	VERB
alkej-1008	295	4	the	the	DET
alkej-1008	295	5	effectiveness	effectiveness	NOUN
alkej-1008	295	6	and	and	CCONJ
alkej-1008	295	7	advancements	advancement	NOUN
alkej-1008	295	8	achieved	achieve	VERB
alkej-1008	295	9	by	by	ADP
alkej-1008	295	10	the	the	DET
alkej-1008	295	11	proposed	propose	VERB
alkej-1008	295	12	model	model	NOUN
alkej-1008	295	13	.	.	PUNCT
alkej-1008	296	1	scenario	scenario	NOUN
alkej-1008	296	2	#	#	SYM
alkej-1008	296	3	1	1	NUM
alkej-1008	296	4	:	:	PUNCT
alkej-1008	296	5	in	in	ADP
alkej-1008	296	6	this	this	DET
alkej-1008	296	7	scenario	scenario	NOUN
alkej-1008	296	8	,	,	PUNCT
alkej-1008	296	9	a	a	DET
alkej-1008	296	10	step	step	NOUN
alkej-1008	296	11	-	-	PUNCT
alkej-1008	296	12	by	by	ADP
alkej-1008	296	13	-	-	PUNCT
alkej-1008	296	14	step	step	NOUN
alkej-1008	296	15	comparison	comparison	NOUN
alkej-1008	296	16	was	be	AUX
alkej-1008	296	17	carried	carry	VERB
alkej-1008	296	18	out	out	ADP
alkej-1008	296	19	to	to	PART
alkej-1008	296	20	measure	measure	VERB
alkej-1008	296	21	the	the	DET
alkej-1008	296	22	performance	performance	NOUN
alkej-1008	296	23	of	of	ADP
alkej-1008	296	24	various	various	ADJ
alkej-1008	296	25	classifiers	classifier	NOUN
alkej-1008	296	26	individually	individually	ADV
alkej-1008	296	27	.	.	PUNCT
alkej-1008	297	1	these	these	DET
alkej-1008	297	2	results	result	NOUN
alkej-1008	297	3	were	be	AUX
alkej-1008	297	4	then	then	ADV
alkej-1008	297	5	benchmarked	benchmarke	VERB
alkej-1008	297	6	against	against	ADP
alkej-1008	297	7	the	the	DET
alkej-1008	297	8	k	k	PROPN
alkej-1008	297	9	-	-	PUNCT
alkej-1008	297	10	gen	gen	PROPN
alkej-1008	297	11	model	model	NOUN
alkej-1008	297	12	,	,	PUNCT
alkej-1008	297	13	which	which	PRON
alkej-1008	297	14	incorporates	incorporate	VERB
alkej-1008	297	15	clustering	cluster	VERB
alkej-1008	297	16	and	and	CCONJ
alkej-1008	297	17	genetic	genetic	NOUN
alkej-1008	297	18	-	-	PUNCT
alkej-1008	297	19	based	base	VERB
alkej-1008	297	20	feature	feature	NOUN
alkej-1008	297	21	ali	ali	PROPN
alkej-1008	297	22	raheem	raheem	PROPN
alkej-1008	297	23	al	al	PROPN
alkej-1008	297	24	-	-	PROPN
alkej-1008	297	25	hafiz	hafiz	PROPN
alkej-1008	297	26	al	al	PROPN
alkej-1008	297	27	-	-	PUNCT
alkej-1008	297	28	khwarizmi	khwarizmi	PROPN
alkej-1008	297	29	engineering	engineering	NOUN
alkej-1008	297	30	journal	journal	PROPN
alkej-1008	297	31	,	,	PUNCT
alkej-1008	297	32	vol	vol	NOUN
alkej-1008	297	33	.	.	PROPN
alkej-1008	297	34	21	21	NUM
alkej-1008	297	35	,	,	PUNCT
alkej-1008	297	36	no.2	no.2	PROPN
alkej-1008	297	37	,	,	PUNCT
alkej-1008	297	38	pp	pp	ADJ
alkej-1008	297	39	.	.	PUNCT
alkej-1008	298	1	117	117	NUM
alkej-1008	298	2	-	-	SYM
alkej-1008	298	3	135	135	NUM
alkej-1008	298	4	(	(	PUNCT
alkej-1008	298	5	2025	2025	NUM
alkej-1008	298	6	)	)	PUNCT
alkej-1008	298	7	126	126	NUM
alkej-1008	298	8	selection	selection	NOUN
alkej-1008	298	9	.	.	PUNCT
alkej-1008	299	1	subsequently	subsequently	ADV
alkej-1008	299	2	,	,	PUNCT
alkej-1008	299	3	the	the	DET
alkej-1008	299	4	final	final	ADJ
alkej-1008	299	5	model	model	NOUN
alkej-1008	299	6	,	,	PUNCT
alkej-1008	299	7	namely	namely	ADV
alkej-1008	299	8	kgen	kgen	PROPN
alkej-1008	299	9	phishguard	phishguard	NOUN
alkej-1008	299	10	,	,	PUNCT
alkej-1008	299	11	was	be	AUX
alkej-1008	299	12	compared	compare	VERB
alkej-1008	299	13	with	with	ADP
alkej-1008	299	14	all	all	DET
alkej-1008	299	15	earlier	early	ADJ
alkej-1008	299	16	versions	version	NOUN
alkej-1008	299	17	to	to	PART
alkej-1008	299	18	assess	assess	VERB
alkej-1008	299	19	its	its	PRON
alkej-1008	299	20	overall	overall	ADJ
alkej-1008	299	21	effectiveness	effectiveness	NOUN
alkej-1008	299	22	.	.	PUNCT
alkej-1008	300	1	•	•	NUM
alkej-1008	300	2	case	case	NOUN
alkej-1008	300	3	1	1	NUM
alkej-1008	300	4	:	:	PUNCT
alkej-1008	300	5	comparison	comparison	NOUN
alkej-1008	300	6	between	between	ADP
alkej-1008	300	7	manual	manual	ADJ
alkej-1008	300	8	classifiers	classifier	NOUN
alkej-1008	300	9	and	and	CCONJ
alkej-1008	300	10	classifier	classifier	NOUN
alkej-1008	300	11	with	with	ADP
alkej-1008	300	12	ga	ga	PROPN
alkej-1008	300	13	the	the	DET
alkej-1008	300	14	performances	performance	NOUN
alkej-1008	300	15	of	of	ADP
alkej-1008	300	16	classifiers	classifier	NOUN
alkej-1008	300	17	,	,	PUNCT
alkej-1008	300	18	as	as	SCONJ
alkej-1008	300	19	demonstrated	demonstrate	VERB
alkej-1008	300	20	in	in	ADP
alkej-1008	300	21	table	table	NOUN
alkej-1008	300	22	1	1	NUM
alkej-1008	300	23	,	,	PUNCT
alkej-1008	300	24	are	be	AUX
alkej-1008	300	25	shown	show	VERB
alkej-1008	300	26	to	to	PART
alkej-1008	300	27	be	be	AUX
alkej-1008	300	28	significantly	significantly	ADV
alkej-1008	300	29	enhanced	enhance	VERB
alkej-1008	300	30	when	when	SCONJ
alkej-1008	300	31	genetic	genetic	ADJ
alkej-1008	300	32	algorithm	algorithm	NOUN
alkej-1008	300	33	(	(	PUNCT
alkej-1008	300	34	ga	ga	NOUN
alkej-1008	300	35	)	)	PUNCT
alkej-1008	300	36	is	be	AUX
alkej-1008	300	37	utilised	utilise	VERB
alkej-1008	300	38	for	for	ADP
alkej-1008	300	39	feature	feature	NOUN
alkej-1008	300	40	selection	selection	NOUN
alkej-1008	300	41	.	.	PUNCT
alkej-1008	301	1	a	a	DET
alkej-1008	301	2	marked	mark	VERB
alkej-1008	301	3	improvement	improvement	NOUN
alkej-1008	301	4	in	in	ADP
alkej-1008	301	5	accuracy	accuracy	NOUN
alkej-1008	301	6	,	,	PUNCT
alkej-1008	301	7	precision	precision	NOUN
alkej-1008	301	8	and	and	CCONJ
alkej-1008	301	9	f1	f1	NOUN
alkej-1008	301	10	-	-	PUNCT
alkej-1008	301	11	score	score	NOUN
alkej-1008	301	12	is	be	AUX
alkej-1008	301	13	observed	observe	VERB
alkej-1008	301	14	across	across	ADP
alkej-1008	301	15	most	most	ADJ
alkej-1008	301	16	classifiers	classifier	NOUN
alkej-1008	301	17	.	.	PUNCT
alkej-1008	302	1	by	by	ADP
alkej-1008	302	2	automating	automate	VERB
alkej-1008	302	3	the	the	DET
alkej-1008	302	4	selection	selection	NOUN
alkej-1008	302	5	of	of	ADP
alkej-1008	302	6	the	the	DET
alkej-1008	302	7	most	most	ADV
alkej-1008	302	8	important	important	ADJ
alkej-1008	302	9	features	feature	NOUN
alkej-1008	302	10	,	,	PUNCT
alkej-1008	302	11	dimensionality	dimensionality	NOUN
alkej-1008	302	12	is	be	AUX
alkej-1008	302	13	reduced	reduce	VERB
alkej-1008	302	14	and	and	CCONJ
alkej-1008	302	15	the	the	DET
alkej-1008	302	16	learning	learning	NOUN
alkej-1008	302	17	process	process	NOUN
alkej-1008	302	18	simplified	simplify	VERB
alkej-1008	302	19	.	.	PUNCT
alkej-1008	303	1	without	without	ADP
alkej-1008	303	2	the	the	DET
alkej-1008	303	3	application	application	NOUN
alkej-1008	303	4	of	of	ADP
alkej-1008	303	5	ga	ga	PROPN
alkej-1008	303	6	,	,	PUNCT
alkej-1008	303	7	classifiers	classifier	NOUN
alkej-1008	303	8	process	process	VERB
alkej-1008	303	9	the	the	DET
alkej-1008	303	10	entire	entire	ADJ
alkej-1008	303	11	dataset	dataset	NOUN
alkej-1008	303	12	,	,	PUNCT
alkej-1008	303	13	which	which	PRON
alkej-1008	303	14	results	result	VERB
alkej-1008	303	15	in	in	ADP
alkej-1008	303	16	lower	low	ADJ
alkej-1008	303	17	performance	performance	NOUN
alkej-1008	303	18	metrics	metric	NOUN
alkej-1008	303	19	.	.	PUNCT
alkej-1008	304	1	however	however	ADV
alkej-1008	304	2	,	,	PUNCT
alkej-1008	304	3	with	with	ADP
alkej-1008	304	4	ga	ga	PROPN
alkej-1008	304	5	,	,	PUNCT
alkej-1008	304	6	more	more	ADV
alkej-1008	304	7	effective	effective	ADJ
alkej-1008	304	8	feature	feature	NOUN
alkej-1008	304	9	combinations	combination	NOUN
alkej-1008	304	10	are	be	AUX
alkej-1008	304	11	obtained	obtain	VERB
alkej-1008	304	12	,	,	PUNCT
alkej-1008	304	13	leading	lead	VERB
alkej-1008	304	14	to	to	ADP
alkej-1008	304	15	improved	improve	VERB
alkej-1008	304	16	classification	classification	NOUN
alkej-1008	304	17	outcomes	outcome	NOUN
alkej-1008	304	18	without	without	ADP
alkej-1008	304	19	overfitting	overfitte	VERB
alkej-1008	304	20	.	.	PUNCT
alkej-1008	305	1	for	for	SCONJ
alkej-1008	305	2	the	the	DET
alkej-1008	305	3	svm	svm	PROPN
alkej-1008	305	4	classifier	classifier	NOUN
alkej-1008	305	5	,	,	PUNCT
alkej-1008	305	6	accuracy	accuracy	NOUN
alkej-1008	305	7	increased	increase	VERB
alkej-1008	305	8	from	from	ADP
alkej-1008	305	9	0.9466	0.9466	NUM
alkej-1008	305	10	to	to	ADP
alkej-1008	305	11	0.9500	0.9500	NUM
alkej-1008	305	12	,	,	PUNCT
alkej-1008	305	13	with	with	ADP
alkej-1008	305	14	precision	precision	NOUN
alkej-1008	305	15	and	and	CCONJ
alkej-1008	305	16	f1	f1	NOUN
alkej-1008	305	17	-	-	PUNCT
alkej-1008	305	18	score	score	NOUN
alkej-1008	305	19	improving	improve	VERB
alkej-1008	305	20	from	from	ADP
alkej-1008	305	21	0.9492	0.9492	NUM
alkej-1008	305	22	to	to	ADP
alkej-1008	305	23	0.9514	0.9514	NUM
alkej-1008	305	24	,	,	PUNCT
alkej-1008	305	25	and	and	CCONJ
alkej-1008	305	26	0.9458	0.9458	NUM
alkej-1008	305	27	to	to	ADP
alkej-1008	305	28	0.9512	0.9512	NUM
alkej-1008	305	29	,	,	PUNCT
alkej-1008	305	30	respectively	respectively	ADV
alkej-1008	305	31	.	.	PUNCT
alkej-1008	306	1	a	a	DET
alkej-1008	306	2	remarkable	remarkable	ADJ
alkej-1008	306	3	enhancement	enhancement	NOUN
alkej-1008	306	4	is	be	AUX
alkej-1008	306	5	observed	observe	VERB
alkej-1008	306	6	for	for	ADP
alkej-1008	306	7	the	the	DET
alkej-1008	306	8	random	random	ADJ
alkej-1008	306	9	forest	forest	NOUN
alkej-1008	306	10	classifier	classifier	NOUN
alkej-1008	306	11	,	,	PUNCT
alkej-1008	306	12	where	where	SCONJ
alkej-1008	306	13	accuracy	accuracy	NOUN
alkej-1008	306	14	rises	rise	VERB
alkej-1008	306	15	from	from	ADP
alkej-1008	306	16	0.9466	0.9466	NUM
alkej-1008	306	17	to	to	ADP
alkej-1008	306	18	0.9755	0.9755	NUM
alkej-1008	306	19	,	,	PUNCT
alkej-1008	306	20	and	and	CCONJ
alkej-1008	306	21	precision	precision	NOUN
alkej-1008	306	22	and	and	CCONJ
alkej-1008	306	23	f1	f1	NOUN
alkej-1008	306	24	-	-	PUNCT
alkej-1008	306	25	score	score	NOUN
alkej-1008	306	26	improve	improve	NOUN
alkej-1008	306	27	from	from	ADP
alkej-1008	306	28	0.9492	0.9492	NUM
alkej-1008	306	29	to	to	ADP
alkej-1008	306	30	0.9755	0.9755	NUM
alkej-1008	306	31	and	and	CCONJ
alkej-1008	306	32	0.9458	0.9458	NUM
alkej-1008	306	33	to	to	ADP
alkej-1008	306	34	0.9754	0.9754	NUM
alkej-1008	306	35	,	,	PUNCT
alkej-1008	306	36	respectively	respectively	ADV
alkej-1008	306	37	.	.	PUNCT
alkej-1008	307	1	this	this	DET
alkej-1008	307	2	improvement	improvement	NOUN
alkej-1008	307	3	is	be	AUX
alkej-1008	307	4	attributed	attribute	VERB
alkej-1008	307	5	to	to	ADP
alkej-1008	307	6	ga	ga	PROPN
alkej-1008	307	7	’s	’s	PART
alkej-1008	307	8	ability	ability	NOUN
alkej-1008	307	9	to	to	PART
alkej-1008	307	10	optimise	optimise	VERB
alkej-1008	307	11	ensemble	ensemble	ADJ
alkej-1008	307	12	learning	learning	NOUN
alkej-1008	307	13	.	.	PUNCT
alkej-1008	308	1	similarly	similarly	ADV
alkej-1008	308	2	,	,	PUNCT
alkej-1008	308	3	adaboost	adaboost	ADV
alkej-1008	308	4	shows	show	VERB
alkej-1008	308	5	improved	improved	ADJ
alkej-1008	308	6	performance	performance	NOUN
alkej-1008	308	7	,	,	PUNCT
alkej-1008	308	8	with	with	ADP
alkej-1008	308	9	accuracy	accuracy	NOUN
alkej-1008	308	10	increasing	increase	VERB
alkej-1008	308	11	from	from	ADP
alkej-1008	308	12	0.9536	0.9536	NUM
alkej-1008	308	13	to	to	ADP
alkej-1008	308	14	0.9597	0.9597	NUM
alkej-1008	308	15	,	,	PUNCT
alkej-1008	308	16	and	and	CCONJ
alkej-1008	308	17	precision	precision	NOUN
alkej-1008	308	18	and	and	CCONJ
alkej-1008	308	19	f1	f1	NOUN
alkej-1008	308	20	-	-	PUNCT
alkej-1008	308	21	score	score	NOUN
alkej-1008	308	22	rising	rise	VERB
alkej-1008	308	23	from	from	ADP
alkej-1008	308	24	0.9531	0.9531	NUM
alkej-1008	308	25	to	to	ADP
alkej-1008	308	26	0.9598	0.9598	NUM
alkej-1008	308	27	and	and	CCONJ
alkej-1008	308	28	0.9531	0.9531	NUM
alkej-1008	308	29	to	to	ADP
alkej-1008	308	30	0.9597	0.9597	NUM
alkej-1008	308	31	,	,	PUNCT
alkej-1008	308	32	respectively	respectively	ADV
alkej-1008	308	33	.	.	PUNCT
alkej-1008	309	1	xgboost	xgboost	PROPN
alkej-1008	309	2	also	also	ADV
alkej-1008	309	3	demonstrates	demonstrate	VERB
alkej-1008	309	4	enhanced	enhanced	ADJ
alkej-1008	309	5	metrics	metric	NOUN
alkej-1008	309	6	,	,	PUNCT
alkej-1008	309	7	with	with	ADP
alkej-1008	309	8	accuracy	accuracy	NOUN
alkej-1008	309	9	improving	improve	VERB
alkej-1008	309	10	from	from	ADP
alkej-1008	309	11	0.9733	0.9733	NUM
alkej-1008	309	12	to	to	ADP
alkej-1008	309	13	0.9770	0.9770	NUM
alkej-1008	309	14	,	,	PUNCT
alkej-1008	309	15	and	and	CCONJ
alkej-1008	309	16	precision	precision	NOUN
alkej-1008	309	17	and	and	CCONJ
alkej-1008	309	18	f1	f1	NOUN
alkej-1008	309	19	-	-	PUNCT
alkej-1008	309	20	score	score	NOUN
alkej-1008	309	21	increasing	increase	VERB
alkej-1008	309	22	from	from	ADP
alkej-1008	309	23	0.9742	0.9742	NUM
alkej-1008	309	24	to	to	ADP
alkej-1008	309	25	0.9769	0.9769	NUM
alkej-1008	309	26	and	and	CCONJ
alkej-1008	309	27	0.9729	0.9729	NUM
alkej-1008	309	28	to	to	ADP
alkej-1008	309	29	0.9769	0.9769	NUM
alkej-1008	309	30	,	,	PUNCT
alkej-1008	309	31	respectively	respectively	ADV
alkej-1008	309	32	.	.	PUNCT
alkej-1008	310	1	these	these	DET
alkej-1008	310	2	results	result	NOUN
alkej-1008	310	3	underscore	underscore	VERB
alkej-1008	310	4	the	the	DET
alkej-1008	310	5	critical	critical	ADJ
alkej-1008	310	6	role	role	NOUN
alkej-1008	310	7	of	of	ADP
alkej-1008	310	8	ga	ga	PROPN
alkej-1008	310	9	in	in	ADP
alkej-1008	310	10	optimising	optimise	VERB
alkej-1008	310	11	feature	feature	NOUN
alkej-1008	310	12	selection	selection	NOUN
alkej-1008	310	13	,	,	PUNCT
alkej-1008	310	14	significantly	significantly	ADV
alkej-1008	310	15	enhancing	enhance	VERB
alkej-1008	310	16	the	the	DET
alkej-1008	310	17	accuracy	accuracy	NOUN
alkej-1008	310	18	,	,	PUNCT
alkej-1008	310	19	precision	precision	NOUN
alkej-1008	310	20	and	and	CCONJ
alkej-1008	310	21	f1	f1	NOUN
alkej-1008	310	22	-	-	PUNCT
alkej-1008	310	23	scores	score	NOUN
alkej-1008	310	24	of	of	ADP
alkej-1008	310	25	various	various	ADJ
alkej-1008	310	26	classifiers	classifier	NOUN
alkej-1008	310	27	,	,	PUNCT
alkej-1008	310	28	rendering	render	VERB
alkej-1008	310	29	it	it	PRON
alkej-1008	310	30	an	an	DET
alkej-1008	310	31	effective	effective	ADJ
alkej-1008	310	32	method	method	NOUN
alkej-1008	310	33	for	for	ADP
alkej-1008	310	34	improving	improve	VERB
alkej-1008	310	35	classification	classification	NOUN
alkej-1008	310	36	performance	performance	NOUN
alkej-1008	310	37	—	—	PUNCT
alkej-1008	310	38	particularly	particularly	ADV
alkej-1008	310	39	for	for	ADP
alkej-1008	310	40	large	large	ADJ
alkej-1008	310	41	datasets	dataset	NOUN
alkej-1008	310	42	with	with	ADP
alkej-1008	310	43	many	many	ADJ
alkej-1008	310	44	features	feature	NOUN
alkej-1008	310	45	.	.	PUNCT
alkej-1008	311	1	from	from	ADP
alkej-1008	311	2	fig	fig	NOUN
alkej-1008	311	3	.	.	PUNCT
alkej-1008	312	1	2	2	NUM
alkej-1008	312	2	,	,	PUNCT
alkej-1008	312	3	applying	apply	VERB
alkej-1008	312	4	the	the	DET
alkej-1008	312	5	classifiers	classifier	NOUN
alkej-1008	312	6	to	to	ADP
alkej-1008	312	7	highquality	highquality	NOUN
alkej-1008	312	8	and	and	CCONJ
alkej-1008	312	9	balanced	balanced	ADJ
alkej-1008	312	10	datasets	dataset	NOUN
alkej-1008	312	11	can	can	AUX
alkej-1008	312	12	be	be	AUX
alkej-1008	312	13	concluded	conclude	VERB
alkej-1008	312	14	to	to	PART
alkej-1008	312	15	yield	yield	VERB
alkej-1008	312	16	acceptable	acceptable	ADJ
alkej-1008	312	17	values	value	NOUN
alkej-1008	312	18	of	of	ADP
alkej-1008	312	19	accuracy	accuracy	NOUN
alkej-1008	312	20	,	,	PUNCT
alkej-1008	312	21	precision	precision	NOUN
alkej-1008	312	22	and	and	CCONJ
alkej-1008	312	23	f1	f1	NOUN
alkej-1008	312	24	-	-	PUNCT
alkej-1008	312	25	score	score	NOUN
alkej-1008	312	26	.	.	PUNCT
alkej-1008	313	1	however	however	ADV
alkej-1008	313	2	,	,	PUNCT
alkej-1008	313	3	in	in	ADP
alkej-1008	313	4	fig	fig	NOUN
alkej-1008	313	5	.	.	PUNCT
alkej-1008	314	1	3	3	NUM
alkej-1008	314	2	,	,	PUNCT
alkej-1008	314	3	all	all	DET
alkej-1008	314	4	metrics	metric	NOUN
alkej-1008	314	5	are	be	AUX
alkej-1008	314	6	observed	observe	VERB
alkej-1008	314	7	to	to	PART
alkej-1008	314	8	have	have	AUX
alkej-1008	314	9	increased	increase	VERB
alkej-1008	314	10	,	,	PUNCT
alkej-1008	314	11	especially	especially	ADV
alkej-1008	314	12	for	for	ADP
alkej-1008	314	13	the	the	DET
alkej-1008	314	14	svm	svm	ADJ
alkej-1008	314	15	and	and	CCONJ
alkej-1008	314	16	random	random	ADJ
alkej-1008	314	17	forest	forest	NOUN
alkej-1008	314	18	classifiers	classifier	NOUN
alkej-1008	314	19	.	.	PUNCT
alkej-1008	315	1	a	a	DET
alkej-1008	315	2	substantial	substantial	ADJ
alkej-1008	315	3	improvement	improvement	NOUN
alkej-1008	315	4	is	be	AUX
alkej-1008	315	5	gained	gain	VERB
alkej-1008	315	6	by	by	ADP
alkej-1008	315	7	the	the	DET
alkej-1008	315	8	svm	svm	PROPN
alkej-1008	315	9	classifier	classifier	NOUN
alkej-1008	315	10	,	,	PUNCT
alkej-1008	315	11	whilst	whilst	SCONJ
alkej-1008	315	12	even	even	ADV
alkej-1008	315	13	higher	high	ADJ
alkej-1008	315	14	accuracy	accuracy	NOUN
alkej-1008	315	15	enhancement	enhancement	NOUN
alkej-1008	315	16	is	be	AUX
alkej-1008	315	17	achieved	achieve	VERB
alkej-1008	315	18	by	by	ADP
alkej-1008	315	19	the	the	DET
alkej-1008	315	20	random	random	ADJ
alkej-1008	315	21	forest	forest	NOUN
alkej-1008	315	22	classifier	classifier	NOUN
alkej-1008	315	23	through	through	ADP
alkej-1008	315	24	the	the	DET
alkej-1008	315	25	application	application	NOUN
alkej-1008	315	26	of	of	ADP
alkej-1008	315	27	an	an	DET
alkej-1008	315	28	ensemble	ensemble	ADJ
alkej-1008	315	29	learning	learning	NOUN
alkej-1008	315	30	technique	technique	NOUN
alkej-1008	315	31	.	.	PUNCT
alkej-1008	316	1	in	in	ADP
alkej-1008	316	2	the	the	DET
alkej-1008	316	3	latter	latter	ADJ
alkej-1008	316	4	,	,	PUNCT
alkej-1008	316	5	multiple	multiple	ADJ
alkej-1008	316	6	decision	decision	NOUN
alkej-1008	316	7	trees	tree	NOUN
alkej-1008	316	8	are	be	AUX
alkej-1008	316	9	constructed	construct	VERB
alkej-1008	316	10	to	to	PART
alkej-1008	316	11	improve	improve	VERB
alkej-1008	316	12	decision	decision	NOUN
alkej-1008	316	13	-	-	PUNCT
alkej-1008	316	14	making	make	VERB
alkej-1008	316	15	performance	performance	NOUN
alkej-1008	316	16	.	.	PUNCT
alkej-1008	317	1	table	table	NOUN
alkej-1008	317	2	1	1	NUM
alkej-1008	317	3	,	,	PUNCT
alkej-1008	317	4	comparisons	comparison	NOUN
alkej-1008	317	5	between	between	ADP
alkej-1008	317	6	classifiers	classifier	NOUN
alkej-1008	317	7	before	before	ADV
alkej-1008	317	8	and	and	CCONJ
alkej-1008	317	9	after	after	ADP
alkej-1008	317	10	using	use	VERB
alkej-1008	317	11	(	(	PUNCT
alkej-1008	317	12	ga	ga	NOUN
alkej-1008	317	13	)	)	PUNCT
alkej-1008	317	14	without	without	ADP
alkej-1008	317	15	using	use	VERB
alkej-1008	317	16	genetic	genetic	ADJ
alkej-1008	317	17	algorithm	algorithm	NOUN
alkej-1008	317	18	using	use	VERB
alkej-1008	317	19	genetic	genetic	ADJ
alkej-1008	317	20	algorithm	algorithm	NOUN
alkej-1008	317	21	for	for	ADP
alkej-1008	317	22	feature	feature	NOUN
alkej-1008	317	23	selection	selection	NOUN
alkej-1008	317	24	classifier	classifier	NOUN
alkej-1008	317	25	acc	acc	PROPN
alkej-1008	317	26	p	p	PROPN
alkej-1008	317	27	f1	f1	PROPN
alkej-1008	317	28	classifier	classifier	NOUN
alkej-1008	317	29	acc	acc	PROPN
alkej-1008	317	30	p	p	PROPN
alkej-1008	317	31	f1	f1	PROPN
alkej-1008	317	32	svm	svm	NOUN
alkej-1008	317	33	94.6	94.6	NUM
alkej-1008	317	34	%	%	NOUN
alkej-1008	317	35	94.9	94.9	NUM
alkej-1008	317	36	%	%	NOUN
alkej-1008	317	37	94.5	94.5	NUM
alkej-1008	317	38	%	%	NOUN
alkej-1008	317	39	svm	svm	NOUN
alkej-1008	317	40	95.1	95.1	NUM
alkej-1008	317	41	%	%	NOUN
alkej-1008	317	42	95.1	95.1	NUM
alkej-1008	317	43	%	%	NOUN
alkej-1008	317	44	95.1	95.1	NUM
alkej-1008	317	45	%	%	NOUN
alkej-1008	317	46	random	random	ADJ
alkej-1008	317	47	forest	forest	NOUN
alkej-1008	317	48	94.6	94.6	NUM
alkej-1008	317	49	%	%	NOUN
alkej-1008	317	50	94.9	94.9	NUM
alkej-1008	317	51	%	%	NOUN
alkej-1008	317	52	94.5	94.5	NUM
alkej-1008	317	53	%	%	NOUN
alkej-1008	317	54	random	random	ADJ
alkej-1008	317	55	forest	forest	NOUN
alkej-1008	317	56	97.5	97.5	NUM
alkej-1008	317	57	%	%	NOUN
alkej-1008	317	58	97.5	97.5	NUM
alkej-1008	317	59	%	%	NOUN
alkej-1008	317	60	97.5	97.5	NUM
alkej-1008	317	61	%	%	NOUN
alkej-1008	317	62	adaboost	adaboost	ADV
alkej-1008	317	63	95.3	95.3	NUM
alkej-1008	317	64	%	%	NOUN
alkej-1008	317	65	95.3	95.3	NUM
alkej-1008	317	66	%	%	NOUN
alkej-1008	317	67	95.3	95.3	NUM
alkej-1008	317	68	%	%	NOUN
alkej-1008	317	69	adaboost	adaboost	ADV
alkej-1008	317	70	96.0	96.0	NUM
alkej-1008	317	71	%	%	NOUN
alkej-1008	317	72	96.0	96.0	NUM
alkej-1008	317	73	%	%	NOUN
alkej-1008	317	74	96.0	96.0	NUM
alkej-1008	317	75	%	%	NOUN
alkej-1008	317	76	xgboost	xgboost	ADV
alkej-1008	318	1	97.3	97.3	NUM
alkej-1008	318	2	%	%	NOUN
alkej-1008	318	3	97.4	97.4	NUM
alkej-1008	318	4	%	%	NOUN
alkej-1008	318	5	97.2	97.2	NUM
alkej-1008	318	6	%	%	NOUN
alkej-1008	318	7	xgboost	xgboost	ADV
alkej-1008	318	8	97.7	97.7	NUM
alkej-1008	318	9	%	%	NOUN
alkej-1008	318	10	97.7	97.7	NUM
alkej-1008	318	11	%	%	NOUN
alkej-1008	318	12	97.7	97.7	NUM
alkej-1008	318	13	%	%	NOUN
alkej-1008	318	14	fig	fig	NOUN
alkej-1008	318	15	.	.	PUNCT
alkej-1008	319	1	3	3	X
alkej-1008	319	2	.	.	X
alkej-1008	319	3	classifier	classifier	NOUN
alkej-1008	319	4	results	result	NOUN
alkej-1008	319	5	without	without	ADP
alkej-1008	319	6	using	use	VERB
alkej-1008	319	7	ga	ga	PROPN
alkej-1008	319	8	fig	fig	NOUN
alkej-1008	319	9	.	.	PUNCT
alkej-1008	320	1	4	4	X
alkej-1008	320	2	.	.	X
alkej-1008	320	3	classifier	classifier	NOUN
alkej-1008	320	4	results	result	NOUN
alkej-1008	320	5	using	use	VERB
alkej-1008	320	6	ga	ga	PROPN
alkej-1008	320	7	ali	ali	PROPN
alkej-1008	320	8	raheem	raheem	PROPN
alkej-1008	320	9	al	al	PROPN
alkej-1008	320	10	-	-	PROPN
alkej-1008	320	11	hafiz	hafiz	PROPN
alkej-1008	320	12	al	al	PROPN
alkej-1008	320	13	-	-	PUNCT
alkej-1008	320	14	khwarizmi	khwarizmi	PROPN
alkej-1008	320	15	engineering	engineering	NOUN
alkej-1008	320	16	journal	journal	PROPN
alkej-1008	320	17	,	,	PUNCT
alkej-1008	320	18	vol	vol	NOUN
alkej-1008	320	19	.	.	PROPN
alkej-1008	320	20	21	21	NUM
alkej-1008	320	21	,	,	PUNCT
alkej-1008	320	22	no.2	no.2	PROPN
alkej-1008	320	23	,	,	PUNCT
alkej-1008	320	24	pp	pp	ADJ
alkej-1008	320	25	.	.	PUNCT
alkej-1008	321	1	117	117	NUM
alkej-1008	321	2	-	-	SYM
alkej-1008	321	3	135	135	NUM
alkej-1008	321	4	(	(	PUNCT
alkej-1008	321	5	2025	2025	NUM
alkej-1008	321	6	)	)	PUNCT
alkej-1008	321	7	127	127	NUM
alkej-1008	321	8	•	•	NOUN
alkej-1008	321	9	case	case	NOUN
alkej-1008	321	10	2	2	NUM
alkej-1008	321	11	:	:	PUNCT
alkej-1008	321	12	comparison	comparison	NOUN
alkej-1008	321	13	between	between	ADP
alkej-1008	321	14	classifier	classifier	NOUN
alkej-1008	321	15	clusters	cluster	NOUN
alkej-1008	321	16	using	use	VERB
alkej-1008	321	17	the	the	DET
alkej-1008	321	18	k	k	ADJ
alkej-1008	321	19	-	-	PUNCT
alkej-1008	321	20	gen	gen	ADJ
alkej-1008	321	21	model	model	NOUN
alkej-1008	321	22	to	to	PART
alkej-1008	321	23	further	far	ADV
alkej-1008	321	24	optimise	optimise	VERB
alkej-1008	321	25	and	and	CCONJ
alkej-1008	321	26	enhance	enhance	VERB
alkej-1008	321	27	the	the	DET
alkej-1008	321	28	phishing	phishe	VERB
alkej-1008	321	29	detection	detection	NOUN
alkej-1008	321	30	model	model	NOUN
alkej-1008	321	31	,	,	PUNCT
alkej-1008	321	32	additional	additional	ADJ
alkej-1008	321	33	steps	step	NOUN
alkej-1008	321	34	were	be	AUX
alkej-1008	321	35	introduced	introduce	VERB
alkej-1008	321	36	to	to	PART
alkej-1008	321	37	ensure	ensure	VERB
alkej-1008	321	38	greater	great	ADJ
alkej-1008	321	39	robustness	robustness	NOUN
alkej-1008	321	40	and	and	CCONJ
alkej-1008	321	41	accuracy	accuracy	NOUN
alkej-1008	321	42	.	.	PUNCT
alkej-1008	322	1	one	one	NUM
alkej-1008	322	2	key	key	ADJ
alkej-1008	322	3	advancement	advancement	NOUN
alkej-1008	322	4	in	in	ADP
alkej-1008	322	5	the	the	DET
alkej-1008	322	6	approach	approach	NOUN
alkej-1008	322	7	was	be	AUX
alkej-1008	322	8	the	the	DET
alkej-1008	322	9	incorporation	incorporation	NOUN
alkej-1008	322	10	of	of	ADP
alkej-1008	322	11	k	k	NOUN
alkej-1008	322	12	-	-	PUNCT
alkej-1008	322	13	means	means	NOUN
alkej-1008	322	14	clustering	cluster	VERB
alkej-1008	322	15	into	into	ADP
alkej-1008	322	16	the	the	DET
alkej-1008	322	17	feature	feature	NOUN
alkej-1008	322	18	selection	selection	NOUN
alkej-1008	322	19	process	process	NOUN
alkej-1008	322	20	.	.	PUNCT
alkej-1008	323	1	k	k	X
alkej-1008	323	2	-	-	PUNCT
alkej-1008	323	3	means	means	PROPN
alkej-1008	323	4	,	,	PUNCT
alkej-1008	323	5	an	an	DET
alkej-1008	323	6	unsupervised	unsupervised	ADJ
alkej-1008	323	7	learning	learning	NOUN
alkej-1008	323	8	algorithm	algorithm	NOUN
alkej-1008	323	9	,	,	PUNCT
alkej-1008	323	10	played	play	VERB
alkej-1008	323	11	a	a	DET
alkej-1008	323	12	vital	vital	ADJ
alkej-1008	323	13	role	role	NOUN
alkej-1008	323	14	in	in	ADP
alkej-1008	323	15	classifying	classify	VERB
alkej-1008	323	16	and	and	CCONJ
alkej-1008	323	17	grouping	group	VERB
alkej-1008	323	18	similar	similar	ADJ
alkej-1008	323	19	data	datum	NOUN
alkej-1008	323	20	points	point	NOUN
alkej-1008	323	21	based	base	VERB
alkej-1008	323	22	on	on	ADP
alkej-1008	323	23	their	their	PRON
alkej-1008	323	24	underlying	underlie	VERB
alkej-1008	323	25	characteristics	characteristic	NOUN
alkej-1008	323	26	.	.	PUNCT
alkej-1008	324	1	by	by	ADP
alkej-1008	324	2	leveraging	leverage	VERB
alkej-1008	324	3	k	k	PROPN
alkej-1008	324	4	-	-	PUNCT
alkej-1008	324	5	means	mean	NOUN
alkej-1008	324	6	,	,	PUNCT
alkej-1008	324	7	the	the	DET
alkej-1008	324	8	complexity	complexity	NOUN
alkej-1008	324	9	of	of	ADP
alkej-1008	324	10	the	the	DET
alkej-1008	324	11	dataset	dataset	NOUN
alkej-1008	324	12	was	be	AUX
alkej-1008	324	13	reduced	reduce	VERB
alkej-1008	324	14	by	by	ADP
alkej-1008	324	15	clustering	cluster	VERB
alkej-1008	324	16	similar	similar	ADJ
alkej-1008	324	17	url	url	NOUN
alkej-1008	324	18	features	feature	NOUN
alkej-1008	324	19	.	.	PUNCT
alkej-1008	325	1	this	this	DET
alkej-1008	325	2	step	step	NOUN
alkej-1008	325	3	not	not	PART
alkej-1008	325	4	only	only	ADV
alkej-1008	325	5	helps	help	VERB
alkej-1008	325	6	in	in	ADP
alkej-1008	325	7	minimising	minimise	VERB
alkej-1008	325	8	redundant	redundant	ADJ
alkej-1008	325	9	information	information	NOUN
alkej-1008	325	10	but	but	CCONJ
alkej-1008	325	11	also	also	ADV
alkej-1008	325	12	assists	assist	VERB
alkej-1008	325	13	in	in	ADP
alkej-1008	325	14	identifying	identify	VERB
alkej-1008	325	15	meaningful	meaningful	ADJ
alkej-1008	325	16	patterns	pattern	NOUN
alkej-1008	325	17	that	that	PRON
alkej-1008	325	18	differentiate	differentiate	VERB
alkej-1008	325	19	phishing	phishe	VERB
alkej-1008	325	20	websites	website	NOUN
alkej-1008	325	21	from	from	ADP
alkej-1008	325	22	legitimate	legitimate	ADJ
alkej-1008	325	23	ones	one	NOUN
alkej-1008	325	24	.	.	PUNCT
alkej-1008	326	1	figs	fig	NOUN
alkej-1008	326	2	.	.	PUNCT
alkej-1008	327	1	(	(	PUNCT
alkej-1008	327	2	5–8	5–8	NOUN
alkej-1008	327	3	)	)	PUNCT
alkej-1008	327	4	illustrate	illustrate	VERB
alkej-1008	327	5	the	the	DET
alkej-1008	327	6	clustering	cluster	VERB
alkej-1008	327	7	process	process	NOUN
alkej-1008	327	8	and	and	CCONJ
alkej-1008	327	9	its	its	PRON
alkej-1008	327	10	impact	impact	NOUN
alkej-1008	327	11	on	on	ADP
alkej-1008	327	12	feature	feature	NOUN
alkej-1008	327	13	selection	selection	NOUN
alkej-1008	327	14	and	and	CCONJ
alkej-1008	327	15	classification	classification	NOUN
alkej-1008	327	16	.	.	PUNCT
alkej-1008	328	1	accordingly	accordingly	ADV
alkej-1008	328	2	,	,	PUNCT
alkej-1008	328	3	it	it	PRON
alkej-1008	328	4	ensures	ensure	VERB
alkej-1008	328	5	that	that	SCONJ
alkej-1008	328	6	the	the	DET
alkej-1008	328	7	subsequent	subsequent	ADJ
alkej-1008	328	8	classification	classification	NOUN
alkej-1008	328	9	models	model	NOUN
alkej-1008	328	10	operate	operate	VERB
alkej-1008	328	11	more	more	ADV
alkej-1008	328	12	efficiently	efficiently	ADV
alkej-1008	328	13	,	,	PUNCT
alkej-1008	328	14	focusing	focus	VERB
alkej-1008	328	15	on	on	ADP
alkej-1008	328	16	the	the	DET
alkej-1008	328	17	most	most	ADV
alkej-1008	328	18	relevant	relevant	ADJ
alkej-1008	328	19	features	feature	NOUN
alkej-1008	328	20	,	,	PUNCT
alkej-1008	328	21	leading	lead	VERB
alkej-1008	328	22	to	to	ADP
alkej-1008	328	23	enhanced	enhanced	ADJ
alkej-1008	328	24	performance	performance	NOUN
alkej-1008	328	25	in	in	ADP
alkej-1008	328	26	phishing	phishe	VERB
alkej-1008	328	27	detection	detection	NOUN
alkej-1008	328	28	.	.	PUNCT
alkej-1008	329	1	the	the	DET
alkej-1008	329	2	use	use	NOUN
alkej-1008	329	3	of	of	ADP
alkej-1008	329	4	k	k	X
alkej-1008	329	5	-	-	PUNCT
alkej-1008	329	6	means	means	NOUN
alkej-1008	329	7	is	be	AUX
alkej-1008	329	8	significantly	significantly	ADV
alkej-1008	329	9	contributed	contribute	VERB
alkej-1008	329	10	to	to	ADP
alkej-1008	329	11	building	build	VERB
alkej-1008	329	12	a	a	DET
alkej-1008	329	13	more	more	ADV
alkej-1008	329	14	accurate	accurate	ADJ
alkej-1008	329	15	and	and	CCONJ
alkej-1008	329	16	robust	robust	ADJ
alkej-1008	329	17	model	model	NOUN
alkej-1008	329	18	,	,	PUNCT
alkej-1008	329	19	as	as	SCONJ
alkej-1008	329	20	shown	show	VERB
alkej-1008	329	21	in	in	ADP
alkej-1008	329	22	table	table	NOUN
alkej-1008	329	23	2	2	NUM
alkej-1008	329	24	.	.	PUNCT
alkej-1008	330	1	the	the	DET
alkej-1008	330	2	high	high	ADJ
alkej-1008	330	3	performance	performance	NOUN
alkej-1008	330	4	of	of	ADP
alkej-1008	330	5	the	the	DET
alkej-1008	330	6	proposed	propose	VERB
alkej-1008	330	7	model	model	NOUN
alkej-1008	330	8	,	,	PUNCT
alkej-1008	330	9	as	as	SCONJ
alkej-1008	330	10	demonstrated	demonstrate	VERB
alkej-1008	330	11	by	by	ADP
alkej-1008	330	12	the	the	DET
alkej-1008	330	13	results	result	NOUN
alkej-1008	330	14	presented	present	VERB
alkej-1008	330	15	in	in	ADP
alkej-1008	330	16	table	table	NOUN
alkej-1008	330	17	4	4	NUM
alkej-1008	330	18	,	,	PUNCT
alkej-1008	330	19	is	be	AUX
alkej-1008	330	20	attributed	attribute	VERB
alkej-1008	330	21	to	to	ADP
alkej-1008	330	22	the	the	DET
alkej-1008	330	23	effective	effective	ADJ
alkej-1008	330	24	use	use	NOUN
alkej-1008	330	25	of	of	ADP
alkej-1008	330	26	k	k	NOUN
alkej-1008	330	27	-	-	PUNCT
alkej-1008	330	28	means	means	NOUN
alkej-1008	330	29	clustering	clustering	NOUN
alkej-1008	330	30	.	.	PUNCT
alkej-1008	331	1	in	in	ADP
alkej-1008	331	2	this	this	DET
alkej-1008	331	3	model	model	NOUN
alkej-1008	331	4	,	,	PUNCT
alkej-1008	331	5	the	the	DET
alkej-1008	331	6	optimal	optimal	ADJ
alkej-1008	331	7	number	number	NOUN
alkej-1008	331	8	of	of	ADP
alkej-1008	331	9	clusters	cluster	NOUN
alkej-1008	331	10	(	(	PUNCT
alkej-1008	331	11	k	k	NOUN
alkej-1008	331	12	)	)	PUNCT
alkej-1008	331	13	was	be	AUX
alkej-1008	331	14	determined	determine	VERB
alkej-1008	331	15	to	to	PART
alkej-1008	331	16	be	be	AUX
alkej-1008	331	17	4	4	NUM
alkej-1008	331	18	,	,	PUNCT
alkej-1008	331	19	which	which	PRON
alkej-1008	331	20	was	be	AUX
alkej-1008	331	21	identified	identify	VERB
alkej-1008	331	22	using	use	VERB
alkej-1008	331	23	the	the	DET
alkej-1008	331	24	within	within	ADJ
alkej-1008	331	25	-	-	PUNCT
alkej-1008	331	26	cluster	cluster	NOUN
alkej-1008	331	27	sum	sum	NOUN
alkej-1008	331	28	of	of	ADP
alkej-1008	331	29	squares	square	NOUN
alkej-1008	331	30	(	(	PUNCT
alkej-1008	331	31	wcss	wcss	ADJ
alkej-1008	331	32	)	)	PUNCT
alkej-1008	331	33	method	method	NOUN
alkej-1008	331	34	.	.	PUNCT
alkej-1008	332	1	wcss	wcss	PROPN
alkej-1008	332	2	was	be	AUX
alkej-1008	332	3	used	use	VERB
alkej-1008	332	4	to	to	PART
alkej-1008	332	5	evaluate	evaluate	VERB
alkej-1008	332	6	the	the	DET
alkej-1008	332	7	compactness	compactness	NOUN
alkej-1008	332	8	of	of	ADP
alkej-1008	332	9	clusters	cluster	NOUN
alkej-1008	332	10	by	by	ADP
alkej-1008	332	11	minimising	minimise	VERB
alkej-1008	332	12	intra	intra	ADJ
alkej-1008	332	13	-	-	ADJ
alkej-1008	332	14	cluster	cluster	NOUN
alkej-1008	332	15	variance	variance	NOUN
alkej-1008	332	16	,	,	PUNCT
alkej-1008	332	17	ensuring	ensure	VERB
alkej-1008	332	18	that	that	SCONJ
alkej-1008	332	19	similar	similar	ADJ
alkej-1008	332	20	data	data	NOUN
alkej-1008	332	21	points	point	NOUN
alkej-1008	332	22	were	be	AUX
alkej-1008	332	23	grouped	group	VERB
alkej-1008	332	24	closely	closely	ADV
alkej-1008	332	25	together	together	ADV
alkej-1008	332	26	.	.	PUNCT
alkej-1008	333	1	to	to	PART
alkej-1008	333	2	further	far	ADV
alkej-1008	333	3	confirm	confirm	VERB
alkej-1008	333	4	this	this	DET
alkej-1008	333	5	optimal	optimal	ADJ
alkej-1008	333	6	choice	choice	NOUN
alkej-1008	333	7	of	of	ADP
alkej-1008	333	8	k	k	PROPN
alkej-1008	333	9	,	,	PUNCT
alkej-1008	333	10	the	the	DET
alkej-1008	333	11	elbow	elbow	NOUN
alkej-1008	333	12	method	method	NOUN
alkej-1008	333	13	was	be	AUX
alkej-1008	333	14	applied	apply	VERB
alkej-1008	333	15	,	,	PUNCT
alkej-1008	333	16	and	and	CCONJ
alkej-1008	333	17	the	the	DET
alkej-1008	333	18	wcss	wcss	PROPN
alkej-1008	333	19	was	be	AUX
alkej-1008	333	20	plotted	plot	VERB
alkej-1008	333	21	against	against	ADP
alkej-1008	333	22	varying	vary	VERB
alkej-1008	333	23	k	k	PROPN
alkej-1008	333	24	values	value	NOUN
alkej-1008	333	25	.	.	PUNCT
alkej-1008	334	1	the	the	DET
alkej-1008	334	2	‘	'	PUNCT
alkej-1008	334	3	elbow	elbow	NOUN
alkej-1008	334	4	’	'	PUNCT
alkej-1008	334	5	point	point	NOUN
alkej-1008	334	6	,	,	PUNCT
alkej-1008	334	7	where	where	SCONJ
alkej-1008	334	8	the	the	DET
alkej-1008	334	9	curve	curve	NOUN
alkej-1008	334	10	begins	begin	VERB
alkej-1008	334	11	to	to	PART
alkej-1008	334	12	flatten	flatten	VERB
alkej-1008	334	13	,	,	PUNCT
alkej-1008	334	14	was	be	AUX
alkej-1008	334	15	used	use	VERB
alkej-1008	334	16	to	to	PART
alkej-1008	334	17	indicate	indicate	VERB
alkej-1008	334	18	the	the	DET
alkej-1008	334	19	most	most	ADV
alkej-1008	334	20	appropriate	appropriate	ADJ
alkej-1008	334	21	number	number	NOUN
alkej-1008	334	22	of	of	ADP
alkej-1008	334	23	clusters	cluster	NOUN
alkej-1008	334	24	,	,	PUNCT
alkej-1008	334	25	which	which	PRON
alkej-1008	334	26	in	in	ADP
alkej-1008	334	27	this	this	DET
alkej-1008	334	28	case	case	NOUN
alkej-1008	334	29	was	be	AUX
alkej-1008	334	30	found	find	VERB
alkej-1008	334	31	to	to	PART
alkej-1008	334	32	be	be	AUX
alkej-1008	334	33	4	4	NUM
alkej-1008	334	34	.	.	PUNCT
alkej-1008	335	1	this	this	DET
alkej-1008	335	2	separation	separation	NOUN
alkej-1008	335	3	of	of	ADP
alkej-1008	335	4	clusters	cluster	NOUN
alkej-1008	335	5	is	be	AUX
alkej-1008	335	6	shown	show	VERB
alkej-1008	335	7	to	to	PART
alkej-1008	335	8	enhance	enhance	VERB
alkej-1008	335	9	the	the	DET
alkej-1008	335	10	model	model	NOUN
alkej-1008	335	11	’s	’s	PART
alkej-1008	335	12	ability	ability	NOUN
alkej-1008	335	13	to	to	PART
alkej-1008	335	14	isolate	isolate	VERB
alkej-1008	335	15	distinct	distinct	ADJ
alkej-1008	335	16	patterns	pattern	NOUN
alkej-1008	335	17	in	in	ADP
alkej-1008	335	18	phishing	phishe	VERB
alkej-1008	335	19	and	and	CCONJ
alkej-1008	335	20	legitimate	legitimate	ADJ
alkej-1008	335	21	websites	website	NOUN
alkej-1008	335	22	,	,	PUNCT
alkej-1008	335	23	thereby	thereby	ADV
alkej-1008	335	24	boosting	boost	VERB
alkej-1008	335	25	classification	classification	NOUN
alkej-1008	335	26	accuracy	accuracy	NOUN
alkej-1008	335	27	and	and	CCONJ
alkej-1008	335	28	leading	lead	VERB
alkej-1008	335	29	to	to	ADP
alkej-1008	335	30	the	the	DET
alkej-1008	335	31	strong	strong	ADJ
alkej-1008	335	32	metrics	metric	NOUN
alkej-1008	335	33	that	that	PRON
alkej-1008	335	34	were	be	AUX
alkej-1008	335	35	achieved	achieve	VERB
alkej-1008	335	36	.	.	PUNCT
alkej-1008	336	1	xgboost	xgboost	PROPN
alkej-1008	336	2	is	be	AUX
alkej-1008	336	3	seen	see	VERB
alkej-1008	336	4	to	to	PART
alkej-1008	336	5	perform	perform	VERB
alkej-1008	336	6	the	the	DET
alkej-1008	336	7	best	good	ADJ
alkej-1008	336	8	overall	overall	NOUN
alkej-1008	336	9	and	and	CCONJ
alkej-1008	336	10	tops	top	VERB
alkej-1008	336	11	the	the	DET
alkej-1008	336	12	accuracy	accuracy	NOUN
alkej-1008	336	13	(	(	PUNCT
alkej-1008	336	14	97.69	97.69	NUM
alkej-1008	336	15	)	)	PUNCT
alkej-1008	336	16	,	,	PUNCT
alkej-1008	336	17	precision	precision	NOUN
alkej-1008	336	18	(	(	PUNCT
alkej-1008	336	19	97.6	97.6	NUM
alkej-1008	336	20	)	)	PUNCT
alkej-1008	336	21	and	and	CCONJ
alkej-1008	336	22	f1	f1	PROPN
alkej-1008	336	23	score	score	NOUN
alkej-1008	336	24	(	(	PUNCT
alkej-1008	336	25	97.69	97.69	NUM
alkej-1008	336	26	)	)	PUNCT
alkej-1008	336	27	amongst	amongst	ADP
alkej-1008	336	28	the	the	DET
alkej-1008	336	29	classifiers	classifier	NOUN
alkej-1008	336	30	,	,	PUNCT
alkej-1008	336	31	especially	especially	ADV
alkej-1008	336	32	in	in	ADP
alkej-1008	336	33	cluster	cluster	NOUN
alkej-1008	336	34	1	1	NUM
alkej-1008	336	35	.	.	PUNCT
alkej-1008	337	1	such	such	ADJ
alkej-1008	337	2	exceptional	exceptional	ADJ
alkej-1008	337	3	performance	performance	NOUN
alkej-1008	337	4	is	be	AUX
alkej-1008	337	5	due	due	ADJ
alkej-1008	337	6	to	to	ADP
alkej-1008	337	7	the	the	DET
alkej-1008	337	8	fact	fact	NOUN
alkej-1008	337	9	that	that	SCONJ
alkej-1008	337	10	the	the	DET
alkej-1008	337	11	clustering	cluster	VERB
alkej-1008	337	12	process	process	NOUN
alkej-1008	337	13	is	be	AUX
alkej-1008	337	14	capable	capable	ADJ
alkej-1008	337	15	of	of	ADP
alkej-1008	337	16	effectively	effectively	ADV
alkej-1008	337	17	grouping	group	VERB
alkej-1008	337	18	its	its	PRON
alkej-1008	337	19	data	data	NOUN
alkej-1008	337	20	points	point	NOUN
alkej-1008	337	21	,	,	PUNCT
alkej-1008	337	22	thus	thus	ADV
alkej-1008	337	23	allowing	allow	VERB
alkej-1008	337	24	xgboost	xgboost	ADV
alkej-1008	337	25	to	to	PART
alkej-1008	337	26	optimise	optimise	VERB
alkej-1008	337	27	its	its	PRON
alkej-1008	337	28	decision	decision	NOUN
alkej-1008	337	29	-	-	PUNCT
alkej-1008	337	30	making	make	VERB
alkej-1008	337	31	process	process	NOUN
alkej-1008	337	32	.	.	PUNCT
alkej-1008	338	1	the	the	DET
alkej-1008	338	2	high	high	ADJ
alkej-1008	338	3	performance	performance	NOUN
alkej-1008	338	4	of	of	ADP
alkej-1008	338	5	the	the	DET
alkej-1008	338	6	proposed	propose	VERB
alkej-1008	338	7	model	model	NOUN
alkej-1008	338	8	,	,	PUNCT
alkej-1008	338	9	as	as	SCONJ
alkej-1008	338	10	demonstrated	demonstrate	VERB
alkej-1008	338	11	by	by	ADP
alkej-1008	338	12	the	the	DET
alkej-1008	338	13	results	result	NOUN
alkej-1008	338	14	presented	present	VERB
alkej-1008	338	15	in	in	ADP
alkej-1008	338	16	table	table	NOUN
alkej-1008	338	17	4	4	NUM
alkej-1008	338	18	,	,	PUNCT
alkej-1008	338	19	is	be	AUX
alkej-1008	338	20	attributed	attribute	VERB
alkej-1008	338	21	to	to	ADP
alkej-1008	338	22	the	the	DET
alkej-1008	338	23	effective	effective	ADJ
alkej-1008	338	24	use	use	NOUN
alkej-1008	338	25	of	of	ADP
alkej-1008	338	26	k	k	NOUN
alkej-1008	338	27	-	-	PUNCT
alkej-1008	338	28	means	means	NOUN
alkej-1008	338	29	clustering	clustering	NOUN
alkej-1008	338	30	.	.	PUNCT
alkej-1008	339	1	in	in	ADP
alkej-1008	339	2	this	this	DET
alkej-1008	339	3	model	model	NOUN
alkej-1008	339	4	,	,	PUNCT
alkej-1008	339	5	the	the	DET
alkej-1008	339	6	optimal	optimal	ADJ
alkej-1008	339	7	number	number	NOUN
alkej-1008	339	8	of	of	ADP
alkej-1008	339	9	clusters	cluster	NOUN
alkej-1008	339	10	(	(	PUNCT
alkej-1008	339	11	k	k	NOUN
alkej-1008	339	12	)	)	PUNCT
alkej-1008	339	13	was	be	AUX
alkej-1008	339	14	determined	determine	VERB
alkej-1008	339	15	to	to	PART
alkej-1008	339	16	be	be	AUX
alkej-1008	339	17	4	4	NUM
alkej-1008	339	18	,	,	PUNCT
alkej-1008	339	19	which	which	PRON
alkej-1008	339	20	was	be	AUX
alkej-1008	339	21	identified	identify	VERB
alkej-1008	339	22	using	use	VERB
alkej-1008	339	23	the	the	DET
alkej-1008	339	24	within	within	ADJ
alkej-1008	339	25	-	-	PUNCT
alkej-1008	339	26	cluster	cluster	NOUN
alkej-1008	339	27	sum	sum	NOUN
alkej-1008	339	28	of	of	ADP
alkej-1008	339	29	squares	square	NOUN
alkej-1008	339	30	(	(	PUNCT
alkej-1008	339	31	wcss	wcss	ADJ
alkej-1008	339	32	)	)	PUNCT
alkej-1008	339	33	method	method	NOUN
alkej-1008	339	34	.	.	PUNCT
alkej-1008	340	1	wcss	wcss	PROPN
alkej-1008	340	2	was	be	AUX
alkej-1008	340	3	used	use	VERB
alkej-1008	340	4	to	to	PART
alkej-1008	340	5	evaluate	evaluate	VERB
alkej-1008	340	6	the	the	DET
alkej-1008	340	7	compactness	compactness	NOUN
alkej-1008	340	8	of	of	ADP
alkej-1008	340	9	clusters	cluster	NOUN
alkej-1008	340	10	by	by	ADP
alkej-1008	340	11	minimising	minimise	VERB
alkej-1008	340	12	intra	intra	ADJ
alkej-1008	340	13	-	-	ADJ
alkej-1008	340	14	cluster	cluster	NOUN
alkej-1008	340	15	variance	variance	NOUN
alkej-1008	340	16	,	,	PUNCT
alkej-1008	340	17	ensuring	ensure	VERB
alkej-1008	340	18	that	that	SCONJ
alkej-1008	340	19	similar	similar	ADJ
alkej-1008	340	20	data	data	NOUN
alkej-1008	340	21	points	point	NOUN
alkej-1008	340	22	were	be	AUX
alkej-1008	340	23	grouped	group	VERB
alkej-1008	340	24	closely	closely	ADV
alkej-1008	340	25	together	together	ADV
alkej-1008	340	26	.	.	PUNCT
alkej-1008	341	1	to	to	PART
alkej-1008	341	2	further	far	ADV
alkej-1008	341	3	confirm	confirm	VERB
alkej-1008	341	4	this	this	DET
alkej-1008	341	5	optimal	optimal	ADJ
alkej-1008	341	6	choice	choice	NOUN
alkej-1008	341	7	of	of	ADP
alkej-1008	341	8	k	k	PROPN
alkej-1008	341	9	,	,	PUNCT
alkej-1008	341	10	the	the	DET
alkej-1008	341	11	elbow	elbow	NOUN
alkej-1008	341	12	method	method	NOUN
alkej-1008	341	13	was	be	AUX
alkej-1008	341	14	applied	apply	VERB
alkej-1008	341	15	,	,	PUNCT
alkej-1008	341	16	and	and	CCONJ
alkej-1008	341	17	the	the	DET
alkej-1008	341	18	wcss	wcss	PROPN
alkej-1008	341	19	was	be	AUX
alkej-1008	341	20	plotted	plot	VERB
alkej-1008	341	21	against	against	ADP
alkej-1008	341	22	varying	vary	VERB
alkej-1008	341	23	k	k	PROPN
alkej-1008	341	24	values	value	NOUN
alkej-1008	341	25	.	.	PUNCT
alkej-1008	342	1	the	the	DET
alkej-1008	342	2	‘	'	PUNCT
alkej-1008	342	3	elbow	elbow	NOUN
alkej-1008	342	4	’	'	PUNCT
alkej-1008	342	5	point	point	NOUN
alkej-1008	342	6	,	,	PUNCT
alkej-1008	342	7	where	where	SCONJ
alkej-1008	342	8	the	the	DET
alkej-1008	342	9	curve	curve	NOUN
alkej-1008	342	10	begins	begin	VERB
alkej-1008	342	11	to	to	PART
alkej-1008	342	12	flatten	flatten	VERB
alkej-1008	342	13	,	,	PUNCT
alkej-1008	342	14	was	be	AUX
alkej-1008	342	15	used	use	VERB
alkej-1008	342	16	to	to	PART
alkej-1008	342	17	indicate	indicate	VERB
alkej-1008	342	18	the	the	DET
alkej-1008	342	19	most	most	ADV
alkej-1008	342	20	appropriate	appropriate	ADJ
alkej-1008	342	21	number	number	NOUN
alkej-1008	342	22	of	of	ADP
alkej-1008	342	23	clusters	cluster	NOUN
alkej-1008	342	24	,	,	PUNCT
alkej-1008	342	25	which	which	PRON
alkej-1008	342	26	in	in	ADP
alkej-1008	342	27	this	this	DET
alkej-1008	342	28	case	case	NOUN
alkej-1008	342	29	was	be	AUX
alkej-1008	342	30	found	find	VERB
alkej-1008	342	31	to	to	PART
alkej-1008	342	32	be	be	AUX
alkej-1008	342	33	4	4	NUM
alkej-1008	342	34	.	.	PUNCT
alkej-1008	342	35	table	table	NOUN
alkej-1008	342	36	2	2	NUM
alkej-1008	342	37	,	,	PUNCT
alkej-1008	342	38	comparative	comparative	ADJ
alkej-1008	342	39	analysis	analysis	NOUN
alkej-1008	342	40	for	for	ADP
alkej-1008	342	41	each	each	DET
alkej-1008	342	42	classifier	classifier	NOUN
alkej-1008	342	43	with	with	ADP
alkej-1008	342	44	k	k	NOUN
alkej-1008	342	45	-	-	PUNCT
alkej-1008	342	46	means	mean	VERB
alkej-1008	342	47	clustering	clustering	ADJ
alkej-1008	342	48	classifiers	classifier	NOUN
alkej-1008	342	49	cluster	cluster	NOUN
alkej-1008	342	50	-	-	PUNCT
alkej-1008	342	51	no	no	NOUN
alkej-1008	342	52	acc	acc	NOUN
alkej-1008	342	53	p	p	PROPN
alkej-1008	342	54	f1	f1	PROPN
alkej-1008	342	55	random	random	ADJ
alkej-1008	342	56	forest	forest	NOUN
alkej-1008	342	57	1	1	NUM
alkej-1008	342	58	97.5	97.5	NUM
alkej-1008	342	59	%	%	NOUN
alkej-1008	342	60	97.5	97.5	NUM
alkej-1008	342	61	%	%	NOUN
alkej-1008	342	62	97.5	97.5	NUM
alkej-1008	342	63	%	%	NOUN
alkej-1008	342	64	2	2	NUM
alkej-1008	342	65	95.9	95.9	NUM
alkej-1008	342	66	%	%	NOUN
alkej-1008	342	67	95.9	95.9	NUM
alkej-1008	342	68	%	%	NOUN
alkej-1008	342	69	95.9	95.9	NUM
alkej-1008	342	70	%	%	NOUN
alkej-1008	342	71	3	3	NUM
alkej-1008	342	72	95.9	95.9	NUM
alkej-1008	342	73	%	%	NOUN
alkej-1008	342	74	95.9	95.9	NUM
alkej-1008	342	75	%	%	NOUN
alkej-1008	342	76	95.8	95.8	NUM
alkej-1008	342	77	%	%	NOUN
alkej-1008	342	78	4	4	NUM
alkej-1008	342	79	95.5	95.5	NUM
alkej-1008	342	80	%	%	NOUN
alkej-1008	342	81	95.5	95.5	NUM
alkej-1008	342	82	%	%	NOUN
alkej-1008	342	83	95.4	95.4	NUM
alkej-1008	342	84	%	%	NOUN
alkej-1008	342	85	svm	svm	NOUN
alkej-1008	342	86	1	1	NUM
alkej-1008	342	87	95.1	95.1	NUM
alkej-1008	342	88	%	%	NOUN
alkej-1008	342	89	95.1	95.1	NUM
alkej-1008	342	90	%	%	NOUN
alkej-1008	342	91	95.1	95.1	NUM
alkej-1008	342	92	%	%	NOUN
alkej-1008	342	93	2	2	NUM
alkej-1008	342	94	93.2	93.2	NUM
alkej-1008	342	95	%	%	NOUN
alkej-1008	342	96	93.3	93.3	NUM
alkej-1008	342	97	%	%	NOUN
alkej-1008	342	98	93.1	93.1	NUM
alkej-1008	342	99	%	%	NOUN
alkej-1008	342	100	3	3	NUM
alkej-1008	342	101	94.0	94.0	NUM
alkej-1008	342	102	%	%	NOUN
alkej-1008	342	103	94.0	94.0	NUM
alkej-1008	342	104	%	%	NOUN
alkej-1008	342	105	94.0	94.0	NUM
alkej-1008	342	106	%	%	NOUN
alkej-1008	342	107	4	4	NUM
alkej-1008	342	108	93.4	93.4	NUM
alkej-1008	342	109	%	%	NOUN
alkej-1008	342	110	93.3	93.3	NUM
alkej-1008	342	111	%	%	NOUN
alkej-1008	342	112	93.4	93.4	NUM
alkej-1008	342	113	%	%	NOUN
alkej-1008	342	114	adboost	adboost	ADV
alkej-1008	342	115	1	1	NUM
alkej-1008	342	116	95.9	95.9	NUM
alkej-1008	342	117	%	%	NOUN
alkej-1008	342	118	95.9	95.9	NUM
alkej-1008	342	119	%	%	NOUN
alkej-1008	342	120	95.9	95.9	NUM
alkej-1008	342	121	%	%	NOUN
alkej-1008	342	122	2	2	NUM
alkej-1008	342	123	95.1	95.1	NUM
alkej-1008	342	124	%	%	NOUN
alkej-1008	342	125	95.2	95.2	NUM
alkej-1008	342	126	%	%	NOUN
alkej-1008	342	127	95.1	95.1	NUM
alkej-1008	342	128	%	%	NOUN
alkej-1008	342	129	3	3	NUM
alkej-1008	342	130	96.0	96.0	NUM
alkej-1008	342	131	%	%	NOUN
alkej-1008	342	132	96.0	96.0	NUM
alkej-1008	342	133	%	%	NOUN
alkej-1008	342	134	96.0	96.0	NUM
alkej-1008	342	135	%	%	NOUN
alkej-1008	342	136	4	4	NUM
alkej-1008	342	137	94.8	94.8	NUM
alkej-1008	342	138	%	%	NOUN
alkej-1008	342	139	94.7	94.7	NUM
alkej-1008	342	140	%	%	NOUN
alkej-1008	342	141	94.7	94.7	NUM
alkej-1008	342	142	%	%	NOUN
alkej-1008	342	143	xgboost	xgboost	NOUN
alkej-1008	342	144	1	1	NUM
alkej-1008	342	145	97.6	97.6	NUM
alkej-1008	342	146	%	%	NOUN
alkej-1008	342	147	97.6	97.6	NUM
alkej-1008	342	148	%	%	NOUN
alkej-1008	342	149	97.6	97.6	NUM
alkej-1008	342	150	%	%	NOUN
alkej-1008	342	151	2	2	NUM
alkej-1008	342	152	95.9	95.9	NUM
alkej-1008	342	153	%	%	NOUN
alkej-1008	342	154	95.9	95.9	NUM
alkej-1008	342	155	%	%	NOUN
alkej-1008	342	156	95.9	95.9	NUM
alkej-1008	342	157	%	%	NOUN
alkej-1008	342	158	3	3	NUM
alkej-1008	342	159	96.0	96.0	NUM
alkej-1008	342	160	%	%	NOUN
alkej-1008	342	161	96.0	96.0	NUM
alkej-1008	342	162	%	%	NOUN
alkej-1008	342	163	96.0	96.0	NUM
alkej-1008	342	164	%	%	NOUN
alkej-1008	342	165	4	4	NUM
alkej-1008	342	166	95.5	95.5	NUM
alkej-1008	342	167	%	%	NOUN
alkej-1008	342	168	95.4	95.4	NUM
alkej-1008	342	169	%	%	NOUN
alkej-1008	342	170	95.4	95.4	NUM
alkej-1008	342	171	%	%	NOUN
alkej-1008	342	172	ali	ali	PROPN
alkej-1008	342	173	raheem	raheem	PROPN
alkej-1008	342	174	al	al	PROPN
alkej-1008	342	175	-	-	PROPN
alkej-1008	342	176	hafiz	hafiz	PROPN
alkej-1008	342	177	al	al	PROPN
alkej-1008	342	178	-	-	PUNCT
alkej-1008	342	179	khwarizmi	khwarizmi	PROPN
alkej-1008	342	180	engineering	engineering	NOUN
alkej-1008	342	181	journal	journal	PROPN
alkej-1008	342	182	,	,	PUNCT
alkej-1008	342	183	vol	vol	NOUN
alkej-1008	342	184	.	.	PROPN
alkej-1008	342	185	21	21	NUM
alkej-1008	342	186	,	,	PUNCT
alkej-1008	342	187	no.2	no.2	PROPN
alkej-1008	342	188	,	,	PUNCT
alkej-1008	342	189	pp	pp	ADJ
alkej-1008	342	190	.	.	PUNCT
alkej-1008	343	1	117	117	NUM
alkej-1008	343	2	-	-	SYM
alkej-1008	343	3	135	135	NUM
alkej-1008	343	4	(	(	PUNCT
alkej-1008	343	5	2025	2025	NUM
alkej-1008	343	6	)	)	PUNCT
alkej-1008	344	1	128	128	NUM
alkej-1008	344	2	this	this	DET
alkej-1008	344	3	separation	separation	NOUN
alkej-1008	344	4	of	of	ADP
alkej-1008	344	5	clusters	cluster	NOUN
alkej-1008	344	6	is	be	AUX
alkej-1008	344	7	shown	show	VERB
alkej-1008	344	8	to	to	PART
alkej-1008	344	9	enhance	enhance	VERB
alkej-1008	344	10	the	the	DET
alkej-1008	344	11	model	model	NOUN
alkej-1008	344	12	’s	’s	PART
alkej-1008	344	13	ability	ability	NOUN
alkej-1008	344	14	to	to	PART
alkej-1008	344	15	isolate	isolate	VERB
alkej-1008	344	16	distinct	distinct	ADJ
alkej-1008	344	17	patterns	pattern	NOUN
alkej-1008	344	18	in	in	ADP
alkej-1008	344	19	phishing	phishe	VERB
alkej-1008	344	20	and	and	CCONJ
alkej-1008	344	21	legitimate	legitimate	ADJ
alkej-1008	344	22	websites	website	NOUN
alkej-1008	344	23	,	,	PUNCT
alkej-1008	344	24	thereby	thereby	ADV
alkej-1008	344	25	boosting	boost	VERB
alkej-1008	344	26	classification	classification	NOUN
alkej-1008	344	27	accuracy	accuracy	NOUN
alkej-1008	344	28	and	and	CCONJ
alkej-1008	344	29	leading	lead	VERB
alkej-1008	344	30	to	to	ADP
alkej-1008	344	31	the	the	DET
alkej-1008	344	32	strong	strong	ADJ
alkej-1008	344	33	metrics	metric	NOUN
alkej-1008	344	34	that	that	PRON
alkej-1008	344	35	were	be	AUX
alkej-1008	344	36	achieved	achieve	VERB
alkej-1008	344	37	.	.	PUNCT
alkej-1008	345	1	xgboost	xgboost	PROPN
alkej-1008	345	2	is	be	AUX
alkej-1008	345	3	seen	see	VERB
alkej-1008	345	4	to	to	PART
alkej-1008	345	5	perform	perform	VERB
alkej-1008	345	6	the	the	DET
alkej-1008	345	7	best	good	ADJ
alkej-1008	345	8	overall	overall	NOUN
alkej-1008	345	9	and	and	CCONJ
alkej-1008	345	10	tops	top	VERB
alkej-1008	345	11	the	the	DET
alkej-1008	345	12	accuracy	accuracy	NOUN
alkej-1008	345	13	(	(	PUNCT
alkej-1008	345	14	97.6	97.6	NUM
alkej-1008	345	15	)	)	PUNCT
alkej-1008	345	16	,	,	PUNCT
alkej-1008	345	17	precision	precision	NOUN
alkej-1008	345	18	(	(	PUNCT
alkej-1008	345	19	97.69	97.69	NUM
alkej-1008	345	20	)	)	PUNCT
alkej-1008	345	21	and	and	CCONJ
alkej-1008	345	22	f1	f1	PROPN
alkej-1008	345	23	score	score	NOUN
alkej-1008	345	24	(	(	PUNCT
alkej-1008	345	25	97.6	97.6	NUM
alkej-1008	345	26	)	)	PUNCT
alkej-1008	345	27	amongst	amongst	ADP
alkej-1008	345	28	the	the	DET
alkej-1008	345	29	classifiers	classifier	NOUN
alkej-1008	345	30	,	,	PUNCT
alkej-1008	345	31	especially	especially	ADV
alkej-1008	345	32	in	in	ADP
alkej-1008	345	33	cluster	cluster	NOUN
alkej-1008	345	34	1	1	NUM
alkej-1008	345	35	.	.	PUNCT
alkej-1008	346	1	such	such	ADJ
alkej-1008	346	2	exceptional	exceptional	ADJ
alkej-1008	346	3	performance	performance	NOUN
alkej-1008	346	4	is	be	AUX
alkej-1008	346	5	due	due	ADJ
alkej-1008	346	6	to	to	ADP
alkej-1008	346	7	the	the	DET
alkej-1008	346	8	fact	fact	NOUN
alkej-1008	346	9	that	that	SCONJ
alkej-1008	346	10	the	the	DET
alkej-1008	346	11	clustering	cluster	VERB
alkej-1008	346	12	process	process	NOUN
alkej-1008	346	13	is	be	AUX
alkej-1008	346	14	capable	capable	ADJ
alkej-1008	346	15	of	of	ADP
alkej-1008	346	16	effectively	effectively	ADV
alkej-1008	346	17	grouping	group	VERB
alkej-1008	346	18	its	its	PRON
alkej-1008	346	19	data	data	NOUN
alkej-1008	346	20	points	point	NOUN
alkej-1008	346	21	,	,	PUNCT
alkej-1008	346	22	thus	thus	ADV
alkej-1008	346	23	allowing	allow	VERB
alkej-1008	346	24	xgboost	xgboost	ADV
alkej-1008	346	25	to	to	PART
alkej-1008	346	26	optimise	optimise	VERB
alkej-1008	346	27	its	its	PRON
alkej-1008	346	28	decision	decision	NOUN
alkej-1008	346	29	-	-	PUNCT
alkej-1008	346	30	making	make	VERB
alkej-1008	346	31	process	process	NOUN
alkej-1008	346	32	.	.	PUNCT
alkej-1008	347	1	similarly	similarly	ADV
alkej-1008	347	2	,	,	PUNCT
alkej-1008	347	3	the	the	DET
alkej-1008	347	4	random	random	ADJ
alkej-1008	347	5	forest	forest	NOUN
alkej-1008	347	6	classifier	classifier	NOUN
alkej-1008	347	7	produces	produce	VERB
alkej-1008	347	8	strong	strong	ADJ
alkej-1008	347	9	results	result	NOUN
alkej-1008	347	10	.	.	PUNCT
alkej-1008	348	1	in	in	ADP
alkej-1008	348	2	cluster	cluster	NOUN
alkej-1008	348	3	1	1	NUM
alkej-1008	348	4	,	,	PUNCT
alkej-1008	348	5	the	the	DET
alkej-1008	348	6	accuracy	accuracy	NOUN
alkej-1008	348	7	is	be	AUX
alkej-1008	348	8	97.5	97.5	NUM
alkej-1008	348	9	with	with	ADP
alkej-1008	348	10	the	the	DET
alkej-1008	348	11	precision	precision	NOUN
alkej-1008	348	12	and	and	CCONJ
alkej-1008	348	13	f1	f1	NOUN
alkej-1008	348	14	score	score	NOUN
alkej-1008	348	15	at	at	ADP
alkej-1008	348	16	97.55	97.55	NUM
alkej-1008	348	17	and	and	CCONJ
alkej-1008	348	18	97.5	97.5	NUM
alkej-1008	348	19	,	,	PUNCT
alkej-1008	348	20	respectively	respectively	ADV
alkej-1008	348	21	.	.	PUNCT
alkej-1008	349	1	in	in	ADP
alkej-1008	349	2	addition	addition	NOUN
alkej-1008	349	3	,	,	PUNCT
alkej-1008	349	4	random	random	ADJ
alkej-1008	349	5	forest	forest	NOUN
alkej-1008	349	6	,	,	PUNCT
alkej-1008	349	7	as	as	ADP
alkej-1008	349	8	an	an	DET
alkej-1008	349	9	ensemble	ensemble	ADJ
alkej-1008	349	10	learning	learning	NOUN
alkej-1008	349	11	type	type	NOUN
alkej-1008	349	12	of	of	ADP
alkej-1008	349	13	learning	learning	NOUN
alkej-1008	349	14	,	,	PUNCT
alkej-1008	349	15	together	together	ADV
alkej-1008	349	16	with	with	ADP
alkej-1008	349	17	the	the	DET
alkej-1008	349	18	feature	feature	NOUN
alkej-1008	349	19	selection	selection	NOUN
alkej-1008	349	20	achieved	achieve	VERB
alkej-1008	349	21	by	by	ADP
alkej-1008	349	22	k	k	PROPN
alkej-1008	349	23	-	-	PUNCT
alkej-1008	349	24	means	means	PROPN
alkej-1008	349	25	,	,	PUNCT
alkej-1008	349	26	is	be	AUX
alkej-1008	349	27	responsible	responsible	ADJ
alkej-1008	349	28	for	for	ADP
alkej-1008	349	29	this	this	DET
alkej-1008	349	30	robust	robust	ADJ
alkej-1008	349	31	performance	performance	NOUN
alkej-1008	349	32	.	.	PUNCT
alkej-1008	350	1	however	however	ADV
alkej-1008	350	2	,	,	PUNCT
alkej-1008	350	3	its	its	PRON
alkej-1008	350	4	performance	performance	NOUN
alkej-1008	350	5	somewhat	somewhat	ADV
alkej-1008	350	6	decreases	decrease	VERB
alkej-1008	350	7	in	in	ADP
alkej-1008	350	8	the	the	DET
alkej-1008	350	9	following	follow	VERB
alkej-1008	350	10	clusters	cluster	NOUN
alkej-1008	350	11	,	,	PUNCT
alkej-1008	350	12	with	with	ADP
alkej-1008	350	13	the	the	DET
alkej-1008	350	14	lowest	low	ADJ
alkej-1008	350	15	metrics	metric	NOUN
alkej-1008	350	16	of	of	ADP
alkej-1008	350	17	cluster	cluster	NOUN
alkej-1008	350	18	4	4	NUM
alkej-1008	350	19	.	.	PUNCT
alkej-1008	351	1	notably	notably	ADV
alkej-1008	351	2	,	,	PUNCT
alkej-1008	351	3	the	the	DET
alkej-1008	351	4	k	k	PROPN
alkej-1008	351	5	-	-	PUNCT
alkej-1008	351	6	gen	gen	PROPN
alkej-1008	351	7	model	model	NOUN
alkej-1008	351	8	,	,	PUNCT
alkej-1008	351	9	which	which	PRON
alkej-1008	351	10	combines	combine	VERB
alkej-1008	351	11	the	the	DET
alkej-1008	351	12	k	k	NOUN
alkej-1008	351	13	-	-	PUNCT
alkej-1008	351	14	means	mean	VERB
alkej-1008	351	15	clustering	clustering	ADJ
alkej-1008	351	16	approach	approach	NOUN
alkej-1008	351	17	with	with	ADP
alkej-1008	351	18	feature	feature	NOUN
alkej-1008	351	19	selection	selection	NOUN
alkej-1008	351	20	,	,	PUNCT
alkej-1008	351	21	has	have	AUX
alkej-1008	351	22	played	play	VERB
alkej-1008	351	23	a	a	DET
alkej-1008	351	24	critical	critical	ADJ
alkej-1008	351	25	role	role	NOUN
alkej-1008	351	26	in	in	ADP
alkej-1008	351	27	enhancing	enhance	VERB
alkej-1008	351	28	the	the	DET
alkej-1008	351	29	classification	classification	NOUN
alkej-1008	351	30	results	result	NOUN
alkej-1008	351	31	for	for	ADP
alkej-1008	351	32	all	all	DET
alkej-1008	351	33	classifiers	classifier	NOUN
alkej-1008	351	34	.	.	PUNCT
alkej-1008	352	1	by	by	ADP
alkej-1008	352	2	segmenting	segment	VERB
alkej-1008	352	3	the	the	DET
alkej-1008	352	4	data	datum	NOUN
alkej-1008	352	5	into	into	ADP
alkej-1008	352	6	meaningful	meaningful	ADJ
alkej-1008	352	7	clusters	cluster	NOUN
alkej-1008	352	8	and	and	CCONJ
alkej-1008	352	9	selecting	select	VERB
alkej-1008	352	10	the	the	DET
alkej-1008	352	11	most	most	ADV
alkej-1008	352	12	relevant	relevant	ADJ
alkej-1008	352	13	features	feature	NOUN
alkej-1008	352	14	,	,	PUNCT
alkej-1008	352	15	the	the	DET
alkej-1008	352	16	classifiers	classifier	NOUN
alkej-1008	352	17	successfully	successfully	ADV
alkej-1008	352	18	focused	focus	VERB
alkej-1008	352	19	on	on	ADP
alkej-1008	352	20	the	the	DET
alkej-1008	352	21	most	most	ADV
alkej-1008	352	22	impactful	impactful	ADJ
alkej-1008	352	23	attributes	attribute	NOUN
alkej-1008	352	24	,	,	PUNCT
alkej-1008	352	25	resulting	result	VERB
alkej-1008	352	26	in	in	ADP
alkej-1008	352	27	improved	improved	ADJ
alkej-1008	352	28	performance	performance	NOUN
alkej-1008	352	29	metrics	metric	NOUN
alkej-1008	352	30	.	.	PUNCT
alkej-1008	353	1	•	•	NUM
alkej-1008	353	2	case	case	NOUN
alkej-1008	353	3	3	3	X
alkej-1008	353	4	:	:	PUNCT
alkej-1008	353	5	comparison	comparison	NOUN
alkej-1008	353	6	between	between	ADP
alkej-1008	353	7	voting	vote	VERB
alkej-1008	353	8	with	with	ADP
alkej-1008	353	9	ga	ga	PROPN
alkej-1008	353	10	and	and	CCONJ
alkej-1008	353	11	voting	voting	NOUN
alkej-1008	353	12	without	without	ADP
alkej-1008	353	13	the	the	DET
alkej-1008	353	14	k	k	PROPN
alkej-1008	353	15	-	-	PUNCT
alkej-1008	353	16	gen	gen	ADJ
alkej-1008	353	17	model	model	NOUN
alkej-1008	353	18	in	in	ADP
alkej-1008	353	19	the	the	DET
alkej-1008	353	20	final	final	ADJ
alkej-1008	353	21	case	case	NOUN
alkej-1008	353	22	,	,	PUNCT
alkej-1008	353	23	the	the	DET
alkej-1008	353	24	phishing	phishe	VERB
alkej-1008	353	25	detection	detection	NOUN
alkej-1008	353	26	model	model	NOUN
alkej-1008	353	27	was	be	AUX
alkej-1008	353	28	enhanced	enhance	VERB
alkej-1008	353	29	by	by	ADP
alkej-1008	353	30	incorporating	incorporate	VERB
alkej-1008	353	31	a	a	DET
alkej-1008	353	32	voting	voting	NOUN
alkej-1008	353	33	method	method	NOUN
alkej-1008	353	34	within	within	ADP
alkej-1008	353	35	an	an	DET
alkej-1008	353	36	ensemble	ensemble	ADJ
alkej-1008	353	37	learning	learning	NOUN
alkej-1008	353	38	framework	framework	NOUN
alkej-1008	353	39	,	,	PUNCT
alkej-1008	353	40	combined	combine	VERB
alkej-1008	353	41	with	with	ADP
alkej-1008	353	42	a	a	DET
alkej-1008	353	43	genetic	genetic	ADJ
alkej-1008	353	44	algorithm	algorithm	NOUN
alkej-1008	353	45	,	,	PUNCT
alkej-1008	353	46	to	to	PART
alkej-1008	353	47	create	create	VERB
alkej-1008	353	48	a	a	DET
alkej-1008	353	49	robust	robust	ADJ
alkej-1008	353	50	detection	detection	NOUN
alkej-1008	353	51	system	system	NOUN
alkej-1008	353	52	.	.	PUNCT
alkej-1008	354	1	the	the	DET
alkej-1008	354	2	results	result	NOUN
alkej-1008	354	3	were	be	AUX
alkej-1008	354	4	compared	compare	VERB
alkej-1008	354	5	to	to	ADP
alkej-1008	354	6	the	the	DET
alkej-1008	354	7	same	same	ADJ
alkej-1008	354	8	model	model	NOUN
alkej-1008	354	9	without	without	ADP
alkej-1008	354	10	the	the	DET
alkej-1008	354	11	use	use	NOUN
alkej-1008	354	12	of	of	ADP
alkej-1008	354	13	the	the	DET
alkej-1008	354	14	genetic	genetic	ADJ
alkej-1008	354	15	algorithm	algorithm	NOUN
alkej-1008	354	16	,	,	PUNCT
alkej-1008	354	17	as	as	SCONJ
alkej-1008	354	18	presented	present	VERB
alkej-1008	354	19	in	in	ADP
alkej-1008	354	20	table	table	NOUN
alkej-1008	354	21	3	3	NUM
alkej-1008	354	22	.	.	PUNCT
alkej-1008	354	23	fig	fig	NOUN
alkej-1008	354	24	.	.	PUNCT
alkej-1008	355	1	5	5	X
alkej-1008	355	2	.	.	X
alkej-1008	355	3	svm	svm	ADJ
alkej-1008	355	4	evaluation	evaluation	NOUN
alkej-1008	355	5	with	with	ADP
alkej-1008	355	6	clustering	clustering	ADJ
alkej-1008	355	7	fig	fig	NOUN
alkej-1008	355	8	.	.	PUNCT
alkej-1008	356	1	6	6	NUM
alkej-1008	356	2	.	.	X
alkej-1008	356	3	adaboost	adaboost	ADJ
alkej-1008	356	4	evaluation	evaluation	NOUN
alkej-1008	356	5	with	with	ADP
alkej-1008	356	6	clustering	clustering	ADJ
alkej-1008	356	7	fig	fig	NOUN
alkej-1008	356	8	.	.	PUNCT
alkej-1008	357	1	7	7	X
alkej-1008	357	2	.	.	X
alkej-1008	357	3	random	random	ADJ
alkej-1008	357	4	forest	forest	NOUN
alkej-1008	357	5	evaluation	evaluation	NOUN
alkej-1008	357	6	with	with	ADP
alkej-1008	357	7	clustering	clustering	ADJ
alkej-1008	357	8	fig	fig	NOUN
alkej-1008	357	9	.	.	PUNCT
alkej-1008	358	1	8	8	NUM
alkej-1008	358	2	.	.	X
alkej-1008	359	1	xgboost	xgboost	X
alkej-1008	359	2	evaluation	evaluation	NOUN
alkej-1008	359	3	with	with	ADP
alkej-1008	359	4	clustering	cluster	VERB
alkej-1008	359	5	ali	ali	PROPN
alkej-1008	359	6	raheem	raheem	PROPN
alkej-1008	359	7	al	al	PROPN
alkej-1008	359	8	-	-	PROPN
alkej-1008	359	9	hafiz	hafiz	PROPN
alkej-1008	359	10	al	al	PROPN
alkej-1008	359	11	-	-	PUNCT
alkej-1008	359	12	khwarizmi	khwarizmi	PROPN
alkej-1008	359	13	engineering	engineering	NOUN
alkej-1008	359	14	journal	journal	PROPN
alkej-1008	359	15	,	,	PUNCT
alkej-1008	359	16	vol	vol	NOUN
alkej-1008	359	17	.	.	PROPN
alkej-1008	359	18	21	21	NUM
alkej-1008	359	19	,	,	PUNCT
alkej-1008	359	20	no.2	no.2	PROPN
alkej-1008	359	21	,	,	PUNCT
alkej-1008	359	22	pp	pp	ADJ
alkej-1008	359	23	.	.	PUNCT
alkej-1008	360	1	117	117	NUM
alkej-1008	360	2	-	-	SYM
alkej-1008	360	3	135	135	NUM
alkej-1008	360	4	(	(	PUNCT
alkej-1008	360	5	2025	2025	NUM
alkej-1008	360	6	)	)	PUNCT
alkej-1008	360	7	129	129	NUM
alkej-1008	360	8	the	the	DET
alkej-1008	360	9	comparison	comparison	NOUN
alkej-1008	360	10	presented	present	VERB
alkej-1008	360	11	in	in	ADP
alkej-1008	360	12	table	table	NOUN
alkej-1008	360	13	3	3	NUM
alkej-1008	360	14	may	may	AUX
alkej-1008	360	15	be	be	AUX
alkej-1008	360	16	initially	initially	ADV
alkej-1008	360	17	perceived	perceive	VERB
alkej-1008	360	18	as	as	ADV
alkej-1008	360	19	unfair	unfair	ADJ
alkej-1008	360	20	by	by	ADP
alkej-1008	360	21	researchers	researcher	NOUN
alkej-1008	360	22	,	,	PUNCT
alkej-1008	360	23	as	as	SCONJ
alkej-1008	360	24	the	the	DET
alkej-1008	360	25	first	first	ADJ
alkej-1008	360	26	model	model	NOUN
alkej-1008	360	27	was	be	AUX
alkej-1008	360	28	applied	apply	VERB
alkej-1008	360	29	to	to	ADP
alkej-1008	360	30	aggregated	aggregate	VERB
alkej-1008	360	31	data	datum	NOUN
alkej-1008	360	32	based	base	VERB
alkej-1008	360	33	on	on	ADP
alkej-1008	360	34	similarity	similarity	NOUN
alkej-1008	360	35	and	and	CCONJ
alkej-1008	360	36	relevant	relevant	ADJ
alkej-1008	360	37	features	feature	NOUN
alkej-1008	360	38	,	,	PUNCT
alkej-1008	360	39	whereas	whereas	SCONJ
alkej-1008	360	40	the	the	DET
alkej-1008	360	41	second	second	ADJ
alkej-1008	360	42	model	model	NOUN
alkej-1008	360	43	was	be	AUX
alkej-1008	360	44	applied	apply	VERB
alkej-1008	360	45	to	to	ADP
alkej-1008	360	46	unaggregated	unaggregated	ADJ
alkej-1008	360	47	data	datum	NOUN
alkej-1008	360	48	without	without	ADP
alkej-1008	360	49	considering	consider	VERB
alkej-1008	360	50	similarity	similarity	NOUN
alkej-1008	360	51	.	.	PUNCT
alkej-1008	361	1	therefore	therefore	ADV
alkej-1008	361	2	,	,	PUNCT
alkej-1008	361	3	this	this	DET
alkej-1008	361	4	comparison	comparison	NOUN
alkej-1008	361	5	primarily	primarily	ADV
alkej-1008	361	6	aims	aim	VERB
alkej-1008	361	7	to	to	PART
alkej-1008	361	8	evaluate	evaluate	VERB
alkej-1008	361	9	the	the	DET
alkej-1008	361	10	same	same	ADJ
alkej-1008	361	11	model	model	NOUN
alkej-1008	361	12	on	on	ADP
alkej-1008	361	13	the	the	DET
alkej-1008	361	14	same	same	ADJ
alkej-1008	361	15	dataset	dataset	NOUN
alkej-1008	361	16	but	but	CCONJ
alkej-1008	361	17	without	without	ADP
alkej-1008	361	18	utilising	utilise	VERB
alkej-1008	361	19	methods	method	NOUN
alkej-1008	361	20	for	for	ADP
alkej-1008	361	21	selecting	select	VERB
alkej-1008	361	22	influential	influential	ADJ
alkej-1008	361	23	features	feature	NOUN
alkej-1008	361	24	or	or	CCONJ
alkej-1008	361	25	choosing	choose	VERB
alkej-1008	361	26	an	an	DET
alkej-1008	361	27	appropriate	appropriate	ADJ
alkej-1008	361	28	classifier	classifier	NOUN
alkej-1008	361	29	.	.	PUNCT
alkej-1008	362	1	the	the	DET
alkej-1008	362	2	results	result	NOUN
alkej-1008	362	3	are	be	AUX
alkej-1008	362	4	assessed	assess	VERB
alkej-1008	362	5	,	,	PUNCT
alkej-1008	362	6	as	as	SCONJ
alkej-1008	362	7	illustrated	illustrate	VERB
alkej-1008	362	8	in	in	ADP
alkej-1008	362	9	figs	fig	NOUN
alkej-1008	362	10	.	.	PUNCT
alkej-1008	363	1	9	9	NUM
alkej-1008	363	2	and	and	CCONJ
alkej-1008	363	3	10	10	NUM
alkej-1008	363	4	.	.	PUNCT
alkej-1008	364	1	a	a	DET
alkej-1008	364	2	highly	highly	ADV
alkej-1008	364	3	accurate	accurate	ADJ
alkej-1008	364	4	phishing	phishe	VERB
alkej-1008	364	5	detection	detection	NOUN
alkej-1008	364	6	model	model	NOUN
alkej-1008	364	7	that	that	PRON
alkej-1008	364	8	avoids	avoid	VERB
alkej-1008	364	9	bias	bias	NOUN
alkej-1008	364	10	towards	towards	ADP
alkej-1008	364	11	false	false	ADJ
alkej-1008	364	12	positives	positive	NOUN
alkej-1008	364	13	and	and	CCONJ
alkej-1008	364	14	effectively	effectively	ADV
alkej-1008	364	15	distinguishes	distinguish	VERB
alkej-1008	364	16	between	between	ADP
alkej-1008	364	17	phishing	phishe	VERB
alkej-1008	364	18	and	and	CCONJ
alkej-1008	364	19	legitimate	legitimate	ADJ
alkej-1008	364	20	websites	website	NOUN
alkej-1008	364	21	was	be	AUX
alkej-1008	364	22	achieved	achieve	VERB
alkej-1008	364	23	by	by	ADP
alkej-1008	364	24	implementing	implement	VERB
alkej-1008	364	25	a	a	DET
alkej-1008	364	26	key	key	ADJ
alkej-1008	364	27	development	development	NOUN
alkej-1008	364	28	step	step	NOUN
alkej-1008	364	29	by	by	ADP
alkej-1008	364	30	utilising	utilise	VERB
alkej-1008	364	31	voting	vote	VERB
alkej-1008	364	32	ensemble	ensemble	ADJ
alkej-1008	364	33	learning	learning	NOUN
alkej-1008	364	34	to	to	PART
alkej-1008	364	35	strategically	strategically	ADV
alkej-1008	364	36	combine	combine	VERB
alkej-1008	364	37	the	the	DET
alkej-1008	364	38	strengths	strength	NOUN
alkej-1008	364	39	of	of	ADP
alkej-1008	364	40	diverse	diverse	ADJ
alkej-1008	364	41	classifiers	classifier	NOUN
alkej-1008	364	42	,	,	PUNCT
alkej-1008	364	43	such	such	ADJ
alkej-1008	364	44	as	as	ADP
alkej-1008	364	45	random	random	ADJ
alkej-1008	364	46	forest	forest	NOUN
alkej-1008	364	47	,	,	PUNCT
alkej-1008	364	48	svm	svm	PROPN
alkej-1008	364	49	,	,	PUNCT
alkej-1008	364	50	xgboost	xgboost	ADV
alkej-1008	364	51	and	and	CCONJ
alkej-1008	364	52	adboost	adboost	ADV
alkej-1008	364	53	,	,	PUNCT
alkej-1008	364	54	thereby	thereby	ADV
alkej-1008	364	55	enhancing	enhance	VERB
alkej-1008	364	56	overall	overall	ADJ
alkej-1008	364	57	accuracy	accuracy	NOUN
alkej-1008	364	58	and	and	CCONJ
alkej-1008	364	59	resilience	resilience	NOUN
alkej-1008	364	60	by	by	ADP
alkej-1008	364	61	aggregating	aggregate	VERB
alkej-1008	364	62	predictions	prediction	NOUN
alkej-1008	364	63	and	and	CCONJ
alkej-1008	364	64	mitigating	mitigate	VERB
alkej-1008	364	65	the	the	DET
alkej-1008	364	66	biases	bias	NOUN
alkej-1008	364	67	and	and	CCONJ
alkej-1008	364	68	limitations	limitation	NOUN
alkej-1008	364	69	of	of	ADP
alkej-1008	364	70	individual	individual	ADJ
alkej-1008	364	71	algorithms	algorithm	NOUN
alkej-1008	364	72	.	.	PUNCT
alkej-1008	365	1	therefore	therefore	ADV
alkej-1008	365	2	,	,	PUNCT
alkej-1008	365	3	a	a	DET
alkej-1008	365	4	genetic	genetic	ADJ
alkej-1008	365	5	algorithm	algorithm	NOUN
alkej-1008	365	6	is	be	AUX
alkej-1008	365	7	used	use	VERB
alkej-1008	365	8	again	again	ADV
alkej-1008	365	9	but	but	CCONJ
alkej-1008	365	10	this	this	DET
alkej-1008	365	11	time	time	NOUN
alkej-1008	365	12	to	to	PART
alkej-1008	365	13	select	select	VERB
alkej-1008	365	14	the	the	DET
alkej-1008	365	15	classifier	classifier	NOUN
alkej-1008	365	16	,	,	PUNCT
alkej-1008	365	17	depending	depend	VERB
alkej-1008	365	18	on	on	ADP
alkej-1008	365	19	the	the	DET
alkej-1008	365	20	metrics	metric	NOUN
alkej-1008	365	21	result	result	NOUN
alkej-1008	365	22	of	of	ADP
alkej-1008	365	23	that	that	DET
alkej-1008	365	24	classifier	classifier	NOUN
alkej-1008	365	25	.	.	PUNCT
alkej-1008	366	1	a	a	DET
alkej-1008	366	2	key	key	ADJ
alkej-1008	366	3	point	point	NOUN
alkej-1008	366	4	that	that	SCONJ
alkej-1008	366	5	many	many	ADJ
alkej-1008	366	6	researchers	researcher	NOUN
alkej-1008	366	7	ask	ask	VERB
alkej-1008	366	8	,	,	PUNCT
alkej-1008	366	9	is	be	AUX
alkej-1008	366	10	the	the	DET
alkej-1008	366	11	ratio	ratio	NOUN
alkej-1008	366	12	used	use	VERB
alkej-1008	366	13	to	to	PART
alkej-1008	366	14	split	split	VERB
alkej-1008	366	15	the	the	DET
alkej-1008	366	16	dataset	dataset	NOUN
alkej-1008	366	17	.	.	PUNCT
alkej-1008	367	1	the	the	DET
alkej-1008	367	2	first	first	ADJ
alkej-1008	367	3	model	model	NOUN
alkej-1008	367	4	used	use	VERB
alkej-1008	367	5	k	k	PROPN
alkej-1008	368	1	=	=	SYM
alkej-1008	369	1	5	5	NUM
alkej-1008	369	2	-	-	ADJ
alkej-1008	369	3	fold	fold	ADJ
alkej-1008	369	4	cross	cross	NOUN
alkej-1008	369	5	validation	validation	NOUN
alkej-1008	369	6	,	,	PUNCT
alkej-1008	369	7	where	where	SCONJ
alkej-1008	369	8	the	the	DET
alkej-1008	369	9	training	training	NOUN
alkej-1008	369	10	set	set	NOUN
alkej-1008	369	11	was	be	AUX
alkej-1008	369	12	partitioned	partition	VERB
alkej-1008	369	13	into	into	ADP
alkej-1008	369	14	5	5	NUM
alkej-1008	369	15	subsets	subset	NOUN
alkej-1008	369	16	and	and	CCONJ
alkej-1008	369	17	used	use	VERB
alkej-1008	369	18	as	as	SCONJ
alkej-1008	369	19	follows	follow	VERB
alkej-1008	369	20	:	:	PUNCT
alkej-1008	369	21	one	one	NUM
alkej-1008	369	22	subset	subset	VERB
alkej-1008	369	23	as	as	SCONJ
alkej-1008	369	24	test	test	NOUN
alkej-1008	369	25	set	set	VERB
alkej-1008	369	26	and	and	CCONJ
alkej-1008	369	27	the	the	DET
alkej-1008	369	28	other	other	ADJ
alkej-1008	369	29	subsets	subset	NOUN
alkej-1008	369	30	as	as	ADP
alkej-1008	369	31	train	train	NOUN
alkej-1008	369	32	set	set	NOUN
alkej-1008	369	33	.	.	PUNCT
alkej-1008	370	1	by	by	ADP
alkej-1008	370	2	using	use	VERB
alkej-1008	370	3	this	this	DET
alkej-1008	370	4	method	method	NOUN
alkej-1008	370	5	,	,	PUNCT
alkej-1008	370	6	the	the	DET
alkej-1008	370	7	model	model	NOUN
alkej-1008	370	8	is	be	AUX
alkej-1008	370	9	evaluated	evaluate	VERB
alkej-1008	370	10	over	over	ADP
alkej-1008	370	11	the	the	DET
alkej-1008	370	12	different	different	ADJ
alkej-1008	370	13	data	datum	NOUN
alkej-1008	370	14	splits	split	VERB
alkej-1008	370	15	which	which	PRON
alkej-1008	370	16	help	help	VERB
alkej-1008	370	17	in	in	ADP
alkej-1008	370	18	adding	add	VERB
alkej-1008	370	19	robustness	robustness	NOUN
alkej-1008	370	20	to	to	ADP
alkej-1008	370	21	the	the	DET
alkej-1008	370	22	model	model	NOUN
alkej-1008	370	23	(	(	PUNCT
alkej-1008	370	24	resistant	resistant	ADJ
alkej-1008	370	25	to	to	ADP
alkej-1008	370	26	computational	computational	ADJ
alkej-1008	370	27	artifacts	artifact	NOUN
alkej-1008	370	28	)	)	PUNCT
alkej-1008	370	29	and	and	CCONJ
alkej-1008	370	30	less	less	ADV
alkej-1008	370	31	biased	biased	ADJ
alkej-1008	370	32	in	in	ADP
alkej-1008	370	33	terms	term	NOUN
alkej-1008	370	34	of	of	ADP
alkej-1008	370	35	performance	performance	NOUN
alkej-1008	370	36	evaluation	evaluation	NOUN
alkej-1008	370	37	.	.	PUNCT
alkej-1008	371	1	by	by	ADP
alkej-1008	371	2	contrast	contrast	NOUN
alkej-1008	371	3	,	,	PUNCT
alkej-1008	371	4	the	the	DET
alkej-1008	371	5	second	second	ADJ
alkej-1008	371	6	model	model	NOUN
alkej-1008	371	7	employed	employ	VERB
alkej-1008	371	8	a	a	DET
alkej-1008	371	9	70	70	NUM
alkej-1008	371	10	:	:	PUNCT
alkej-1008	371	11	i	i	PRON
alkej-1008	371	12	split	split	VERB
alkej-1008	371	13	30	30	NUM
alkej-1008	371	14	,	,	PUNCT
alkej-1008	371	15	where	where	SCONJ
alkej-1008	371	16	70	70	NUM
alkej-1008	371	17	%	%	NOUN
alkej-1008	371	18	of	of	ADP
alkej-1008	371	19	the	the	DET
alkej-1008	371	20	data	datum	NOUN
alkej-1008	371	21	are	be	AUX
alkej-1008	371	22	used	use	VERB
alkej-1008	371	23	for	for	ADP
alkej-1008	371	24	training	training	NOUN
alkej-1008	371	25	and	and	CCONJ
alkej-1008	371	26	30	30	NUM
alkej-1008	371	27	%	%	NOUN
alkej-1008	371	28	for	for	ADP
alkej-1008	371	29	testing	testing	NOUN
alkej-1008	371	30	.	.	PUNCT
alkej-1008	372	1	this	this	DET
alkej-1008	372	2	simple	simple	ADJ
alkej-1008	372	3	split	split	NOUN
alkej-1008	372	4	clearly	clearly	ADV
alkej-1008	372	5	separates	separate	VERB
alkej-1008	372	6	the	the	DET
alkej-1008	372	7	training	training	NOUN
alkej-1008	372	8	from	from	ADP
alkej-1008	372	9	the	the	DET
alkej-1008	372	10	evaluation	evaluation	NOUN
alkej-1008	372	11	phases	phase	NOUN
alkej-1008	372	12	whilst	whilst	SCONJ
alkej-1008	372	13	allowing	allow	VERB
alkej-1008	372	14	performance	performance	NOUN
alkej-1008	372	15	of	of	ADP
alkej-1008	372	16	the	the	DET
alkej-1008	372	17	model	model	NOUN
alkej-1008	372	18	to	to	PART
alkej-1008	372	19	be	be	AUX
alkej-1008	372	20	tested	test	VERB
alkej-1008	372	21	on	on	ADP
alkej-1008	372	22	data	datum	NOUN
alkej-1008	372	23	that	that	PRON
alkej-1008	372	24	are	be	AUX
alkej-1008	372	25	entirely	entirely	ADV
alkej-1008	372	26	unseen	unseen	ADJ
alkej-1008	372	27	.	.	PUNCT
alkej-1008	373	1	the	the	DET
alkej-1008	373	2	large	large	ADJ
alkej-1008	373	3	difference	difference	NOUN
alkej-1008	373	4	in	in	ADP
alkej-1008	373	5	performance	performance	NOUN
alkej-1008	373	6	is	be	AUX
alkej-1008	373	7	shown	show	VERB
alkej-1008	373	8	in	in	ADP
alkej-1008	373	9	the	the	DET
alkej-1008	373	10	table	table	NOUN
alkej-1008	373	11	when	when	SCONJ
alkej-1008	373	12	the	the	DET
alkej-1008	373	13	voting	voting	NOUN
alkej-1008	373	14	model	model	NOUN
alkej-1008	373	15	with	with	ADP
alkej-1008	373	16	k	k	X
alkej-1008	373	17	-	-	PUNCT
alkej-1008	373	18	gen	gen	PROPN
alkej-1008	373	19	is	be	AUX
alkej-1008	373	20	used	use	VERB
alkej-1008	373	21	versus	versus	ADP
alkej-1008	373	22	without	without	ADP
alkej-1008	373	23	k	k	PROPN
alkej-1008	373	24	-	-	PUNCT
alkej-1008	373	25	gen	gen	PROPN
alkej-1008	373	26	.	.	PROPN
alkej-1008	374	1	after	after	SCONJ
alkej-1008	374	2	k	k	PROPN
alkej-1008	374	3	-	-	PUNCT
alkej-1008	374	4	gen	gen	PROPN
alkej-1008	374	5	is	be	AUX
alkej-1008	374	6	applied	apply	VERB
alkej-1008	374	7	,	,	PUNCT
alkej-1008	374	8	high	high	ADJ
alkej-1008	374	9	metrics	metric	NOUN
alkej-1008	374	10	are	be	AUX
alkej-1008	374	11	achieved	achieve	VERB
alkej-1008	374	12	for	for	ADP
alkej-1008	374	13	all	all	DET
alkej-1008	374	14	clusters	cluster	NOUN
alkej-1008	374	15	,	,	PUNCT
alkej-1008	374	16	with	with	ADP
alkej-1008	374	17	accuracy	accuracy	NOUN
alkej-1008	374	18	,	,	PUNCT
alkej-1008	374	19	precision	precision	NOUN
alkej-1008	374	20	and	and	CCONJ
alkej-1008	374	21	f1	f1	NOUN
alkej-1008	374	22	score	score	NOUN
alkej-1008	374	23	constantly	constantly	ADV
alkej-1008	374	24	being	be	AUX
alkej-1008	374	25	above	above	ADP
alkej-1008	374	26	98	98	NUM
alkej-1008	374	27	%	%	NOUN
alkej-1008	374	28	.	.	PUNCT
alkej-1008	375	1	all	all	DET
alkej-1008	375	2	metrics	metric	NOUN
alkej-1008	375	3	in	in	ADP
alkej-1008	375	4	cluster	cluster	NOUN
alkej-1008	375	5	1	1	NUM
alkej-1008	375	6	are	be	AUX
alkej-1008	375	7	attained	attain	VERB
alkej-1008	375	8	at	at	ADP
alkej-1008	375	9	99	99	NUM
alkej-1008	375	10	%	%	NOUN
alkej-1008	375	11	performance	performance	NOUN
alkej-1008	375	12	.	.	PUNCT
alkej-1008	376	1	in	in	ADP
alkej-1008	376	2	comparison	comparison	NOUN
alkej-1008	376	3	,	,	PUNCT
alkej-1008	376	4	the	the	DET
alkej-1008	376	5	voting	voting	NOUN
alkej-1008	376	6	model	model	NOUN
alkej-1008	376	7	without	without	ADP
alkej-1008	376	8	k	k	PROPN
alkej-1008	376	9	-	-	PUNCT
alkej-1008	376	10	gen	gen	ADJ
alkej-1008	376	11	results	result	NOUN
alkej-1008	376	12	in	in	ADP
alkej-1008	376	13	an	an	DET
alkej-1008	376	14	accuracy	accuracy	NOUN
alkej-1008	376	15	of	of	ADP
alkej-1008	376	16	77.3	77.3	NUM
alkej-1008	376	17	%	%	NOUN
alkej-1008	376	18	,	,	PUNCT
alkej-1008	376	19	precision	precision	NOUN
alkej-1008	376	20	of	of	ADP
alkej-1008	376	21	82.1	82.1	NUM
alkej-1008	376	22	%	%	NOUN
alkej-1008	376	23	and	and	CCONJ
alkej-1008	376	24	f1	f1	NOUN
alkej-1008	376	25	score	score	NOUN
alkej-1008	376	26	of	of	ADP
alkej-1008	376	27	76	76	NUM
alkej-1008	376	28	%	%	NOUN
alkej-1008	376	29	.	.	PUNCT
alkej-1008	377	1	table	table	NOUN
alkej-1008	377	2	3	3	NUM
alkej-1008	377	3	,	,	PUNCT
alkej-1008	377	4	comparison	comparison	NOUN
alkej-1008	377	5	of	of	ADP
alkej-1008	377	6	the	the	DET
alkej-1008	377	7	voting	voting	NOUN
alkej-1008	377	8	model	model	NOUN
alkej-1008	377	9	with	with	ADP
alkej-1008	377	10	and	and	CCONJ
alkej-1008	377	11	without	without	ADP
alkej-1008	377	12	k	k	PROPN
alkej-1008	377	13	-	-	PUNCT
alkej-1008	377	14	gen	gen	ADJ
alkej-1008	377	15	model	model	NOUN
alkej-1008	377	16	cluster	cluster	NOUN
alkej-1008	377	17	-	-	PUNCT
alkej-1008	378	1	no	no	NOUN
alkej-1008	378	2	accuracy	accuracy	NOUN
alkej-1008	378	3	precision	precision	NOUN
alkej-1008	378	4	f1	f1	NOUN
alkej-1008	378	5	-	-	PUNCT
alkej-1008	378	6	score	score	NOUN
alkej-1008	378	7	voting	voting	NOUN
alkej-1008	378	8	with	with	ADP
alkej-1008	378	9	k	k	X
alkej-1008	378	10	-	-	PUNCT
alkej-1008	378	11	gen	gen	ADJ
alkej-1008	378	12	1	1	NUM
alkej-1008	378	13	99	99	NUM
alkej-1008	378	14	%	%	NOUN
alkej-1008	378	15	99	99	NUM
alkej-1008	378	16	%	%	NOUN
alkej-1008	378	17	99	99	NUM
alkej-1008	378	18	%	%	NOUN
alkej-1008	378	19	2	2	NUM
alkej-1008	378	20	98.6	98.6	NUM
alkej-1008	378	21	%	%	NOUN
alkej-1008	378	22	98.6	98.6	NUM
alkej-1008	378	23	%	%	NOUN
alkej-1008	378	24	98	98	NUM
alkej-1008	378	25	%	%	NOUN
alkej-1008	378	26	3	3	NUM
alkej-1008	378	27	98.9	98.9	NUM
alkej-1008	378	28	%	%	NOUN
alkej-1008	378	29	98.9	98.9	NUM
alkej-1008	378	30	%	%	NOUN
alkej-1008	378	31	98	98	NUM
alkej-1008	378	32	%	%	NOUN
alkej-1008	378	33	4	4	NUM
alkej-1008	378	34	98.5	98.5	NUM
alkej-1008	378	35	%	%	NOUN
alkej-1008	378	36	98.5	98.5	NUM
alkej-1008	378	37	%	%	NOUN
alkej-1008	378	38	98	98	NUM
alkej-1008	378	39	%	%	NOUN
alkej-1008	378	40	voting	voting	NOUN
alkej-1008	378	41	without	without	ADP
alkej-1008	378	42	k	k	PROPN
alkej-1008	378	43	-	-	PUNCT
alkej-1008	378	44	gen	gen	PROPN
alkej-1008	378	45	n	n	CCONJ
alkej-1008	378	46	/	/	SYM
alkej-1008	378	47	a	a	DET
alkej-1008	378	48	77.3	77.3	NUM
alkej-1008	378	49	%	%	NOUN
alkej-1008	378	50	82.1	82.1	NUM
alkej-1008	378	51	%	%	NOUN
alkej-1008	378	52	76	76	NUM
alkej-1008	378	53	%	%	NOUN
alkej-1008	378	54	fig	fig	NOUN
alkej-1008	378	55	.	.	PUNCT
alkej-1008	379	1	9	9	X
alkej-1008	379	2	.	.	X
alkej-1008	379	3	voting	vote	VERB
alkej-1008	379	4	with	with	ADP
alkej-1008	379	5	k	k	ADJ
alkej-1008	379	6	-	-	PUNCT
alkej-1008	379	7	gen	gen	ADJ
alkej-1008	379	8	model	model	NOUN
alkej-1008	379	9	fig	fig	NOUN
alkej-1008	379	10	.	.	PUNCT
alkej-1008	380	1	10	10	NUM
alkej-1008	380	2	.	.	X
alkej-1008	381	1	voting	vote	VERB
alkej-1008	381	2	without	without	ADP
alkej-1008	381	3	k	k	PROPN
alkej-1008	381	4	-	-	PUNCT
alkej-1008	381	5	gen	gen	PROPN
alkej-1008	381	6	model	model	NOUN
alkej-1008	381	7	ali	ali	PROPN
alkej-1008	381	8	raheem	raheem	PROPN
alkej-1008	381	9	al	al	PROPN
alkej-1008	381	10	-	-	PROPN
alkej-1008	381	11	hafiz	hafiz	PROPN
alkej-1008	381	12	al	al	PROPN
alkej-1008	381	13	-	-	PUNCT
alkej-1008	381	14	khwarizmi	khwarizmi	PROPN
alkej-1008	381	15	engineering	engineering	NOUN
alkej-1008	381	16	journal	journal	PROPN
alkej-1008	381	17	,	,	PUNCT
alkej-1008	381	18	vol	vol	NOUN
alkej-1008	381	19	.	.	PROPN
alkej-1008	381	20	21	21	NUM
alkej-1008	381	21	,	,	PUNCT
alkej-1008	381	22	no.2	no.2	PROPN
alkej-1008	381	23	,	,	PUNCT
alkej-1008	381	24	pp	pp	ADJ
alkej-1008	381	25	.	.	PUNCT
alkej-1008	382	1	117	117	NUM
alkej-1008	382	2	-	-	SYM
alkej-1008	382	3	135	135	NUM
alkej-1008	382	4	(	(	PUNCT
alkej-1008	382	5	2025	2025	NUM
alkej-1008	382	6	)	)	PUNCT
alkej-1008	382	7	130	130	NUM
alkej-1008	382	8	the	the	DET
alkej-1008	382	9	variation	variation	NOUN
alkej-1008	382	10	in	in	ADP
alkej-1008	382	11	these	these	DET
alkej-1008	382	12	results	result	NOUN
alkej-1008	382	13	is	be	AUX
alkej-1008	382	14	attributed	attribute	VERB
alkej-1008	382	15	primarily	primarily	ADV
alkej-1008	382	16	to	to	ADP
alkej-1008	382	17	the	the	DET
alkej-1008	382	18	fact	fact	NOUN
alkej-1008	382	19	that	that	SCONJ
alkej-1008	382	20	the	the	DET
alkej-1008	382	21	genetic	genetic	ADJ
alkej-1008	382	22	algorithm	algorithm	NOUN
alkej-1008	382	23	(	(	PUNCT
alkej-1008	382	24	ga	ga	NOUN
alkej-1008	382	25	)	)	PUNCT
alkej-1008	382	26	was	be	AUX
alkej-1008	382	27	applied	apply	VERB
alkej-1008	382	28	twice	twice	ADV
alkej-1008	382	29	in	in	ADP
alkej-1008	382	30	the	the	DET
alkej-1008	382	31	proposed	propose	VERB
alkej-1008	382	32	model	model	NOUN
alkej-1008	382	33	,	,	PUNCT
alkej-1008	382	34	a	a	DET
alkej-1008	382	35	practice	practice	NOUN
alkej-1008	382	36	that	that	PRON
alkej-1008	382	37	has	have	AUX
alkej-1008	382	38	not	not	PART
alkej-1008	382	39	been	be	AUX
alkej-1008	382	40	commonly	commonly	ADV
alkej-1008	382	41	observed	observe	VERB
alkej-1008	382	42	in	in	ADP
alkej-1008	382	43	most	most	ADJ
alkej-1008	382	44	studies	study	NOUN
alkej-1008	382	45	addressing	address	VERB
alkej-1008	382	46	phishing	phishe	VERB
alkej-1008	382	47	detection	detection	NOUN
alkej-1008	382	48	.	.	PUNCT
alkej-1008	383	1	in	in	ADP
alkej-1008	383	2	the	the	DET
alkej-1008	383	3	first	first	ADJ
alkej-1008	383	4	instance	instance	NOUN
alkej-1008	383	5	,	,	PUNCT
alkej-1008	383	6	ga	ga	PROPN
alkej-1008	383	7	was	be	AUX
alkej-1008	383	8	utilised	utilise	VERB
alkej-1008	383	9	to	to	PART
alkej-1008	383	10	search	search	VERB
alkej-1008	383	11	for	for	ADP
alkej-1008	383	12	the	the	DET
alkej-1008	383	13	optimal	optimal	ADJ
alkej-1008	383	14	or	or	CCONJ
alkej-1008	383	15	near	near	ADV
alkej-1008	383	16	-	-	PUNCT
alkej-1008	383	17	optimal	optimal	ADJ
alkej-1008	383	18	solution	solution	NOUN
alkej-1008	383	19	by	by	ADP
alkej-1008	383	20	identifying	identify	VERB
alkej-1008	383	21	the	the	DET
alkej-1008	383	22	most	most	ADV
alkej-1008	383	23	impactful	impactful	ADJ
alkej-1008	383	24	features	feature	NOUN
alkej-1008	383	25	that	that	PRON
alkej-1008	383	26	assist	assist	VERB
alkej-1008	383	27	the	the	DET
alkej-1008	383	28	classifier	classifier	NOUN
alkej-1008	383	29	,	,	PUNCT
alkej-1008	383	30	even	even	ADV
alkej-1008	383	31	if	if	SCONJ
alkej-1008	383	32	its	its	PRON
alkej-1008	383	33	classification	classification	NOUN
alkej-1008	383	34	performance	performance	NOUN
alkej-1008	383	35	was	be	AUX
alkej-1008	383	36	initially	initially	ADV
alkej-1008	383	37	suboptimal	suboptimal	ADJ
alkej-1008	383	38	.	.	PUNCT
alkej-1008	384	1	in	in	ADP
alkej-1008	384	2	the	the	DET
alkej-1008	384	3	second	second	ADJ
alkej-1008	384	4	instance	instance	NOUN
alkej-1008	384	5	,	,	PUNCT
alkej-1008	384	6	ga	ga	PROPN
alkej-1008	384	7	was	be	AUX
alkej-1008	384	8	employed	employ	VERB
alkej-1008	384	9	to	to	PART
alkej-1008	384	10	select	select	VERB
alkej-1008	384	11	the	the	DET
alkej-1008	384	12	most	most	ADV
alkej-1008	384	13	effective	effective	ADJ
alkej-1008	384	14	classifier	classifier	NOUN
alkej-1008	384	15	for	for	ADP
alkej-1008	384	16	the	the	DET
alkej-1008	384	17	classification	classification	NOUN
alkej-1008	384	18	process	process	NOUN
alkej-1008	384	19	during	during	ADP
alkej-1008	384	20	the	the	DET
alkej-1008	384	21	ensemble	ensemble	ADJ
alkej-1008	384	22	classification	classification	NOUN
alkej-1008	384	23	phase	phase	NOUN
alkej-1008	384	24	.	.	PUNCT
alkej-1008	385	1	this	this	DET
alkej-1008	385	2	dual	dual	ADJ
alkej-1008	385	3	application	application	NOUN
alkej-1008	385	4	of	of	ADP
alkej-1008	385	5	ga	ga	PROPN
alkej-1008	385	6	has	have	AUX
alkej-1008	385	7	contributed	contribute	VERB
alkej-1008	385	8	significantly	significantly	ADV
alkej-1008	385	9	to	to	ADP
alkej-1008	385	10	the	the	DET
alkej-1008	385	11	superior	superior	ADJ
alkej-1008	385	12	results	result	NOUN
alkej-1008	385	13	achieved	achieve	VERB
alkej-1008	385	14	in	in	ADP
alkej-1008	385	15	the	the	DET
alkej-1008	385	16	proposed	propose	VERB
alkej-1008	385	17	model	model	NOUN
alkej-1008	385	18	.	.	PUNCT
alkej-1008	386	1	scenario	scenario	NOUN
alkej-1008	386	2	#	#	SYM
alkej-1008	386	3	2	2	NUM
alkej-1008	386	4	:	:	PUNCT
alkej-1008	386	5	in	in	ADP
alkej-1008	386	6	this	this	DET
alkej-1008	386	7	scenario	scenario	NOUN
alkej-1008	386	8	,	,	PUNCT
alkej-1008	386	9	the	the	DET
alkej-1008	386	10	performance	performance	NOUN
alkej-1008	386	11	of	of	ADP
alkej-1008	386	12	the	the	DET
alkej-1008	386	13	proposed	propose	VERB
alkej-1008	386	14	model	model	NOUN
alkej-1008	386	15	is	be	AUX
alkej-1008	386	16	compared	compare	VERB
alkej-1008	386	17	to	to	ADP
alkej-1008	386	18	studies	study	NOUN
alkej-1008	386	19	that	that	PRON
alkej-1008	386	20	utilise	utilise	VERB
alkej-1008	386	21	the	the	DET
alkej-1008	386	22	same	same	ADJ
alkej-1008	386	23	dataset	dataset	NOUN
alkej-1008	386	24	.	.	PUNCT
alkej-1008	387	1	the	the	DET
alkej-1008	387	2	performance	performance	NOUN
alkej-1008	387	3	of	of	ADP
alkej-1008	387	4	the	the	DET
alkej-1008	387	5	model	model	NOUN
alkej-1008	387	6	is	be	AUX
alkej-1008	387	7	structured	structure	VERB
alkej-1008	387	8	into	into	ADP
alkej-1008	387	9	different	different	ADJ
alkej-1008	387	10	cases	case	NOUN
alkej-1008	387	11	,	,	PUNCT
alkej-1008	387	12	wherein	wherein	SCONJ
alkej-1008	387	13	a	a	DET
alkej-1008	387	14	particular	particular	ADJ
alkej-1008	387	15	attribute	attribute	NOUN
alkej-1008	387	16	of	of	ADP
alkej-1008	387	17	the	the	DET
alkej-1008	387	18	model	model	NOUN
alkej-1008	387	19	’s	’s	PART
alkej-1008	387	20	performance	performance	NOUN
alkej-1008	387	21	is	be	AUX
alkej-1008	387	22	considered	consider	VERB
alkej-1008	387	23	in	in	ADP
alkej-1008	387	24	each	each	DET
alkej-1008	387	25	case	case	NOUN
alkej-1008	387	26	and	and	CCONJ
alkej-1008	387	27	its	its	PRON
alkej-1008	387	28	benefits	benefit	NOUN
alkej-1008	387	29	explained	explain	VERB
alkej-1008	387	30	.	.	PUNCT
alkej-1008	388	1	the	the	DET
alkej-1008	388	2	first	first	ADJ
alkej-1008	388	3	case	case	NOUN
alkej-1008	388	4	focuses	focus	VERB
alkej-1008	388	5	on	on	ADP
alkej-1008	388	6	assessing	assess	VERB
alkej-1008	388	7	the	the	DET
alkej-1008	388	8	effectiveness	effectiveness	NOUN
alkej-1008	388	9	of	of	ADP
alkej-1008	388	10	the	the	DET
alkej-1008	388	11	proposed	propose	VERB
alkej-1008	388	12	model	model	NOUN
alkej-1008	388	13	under	under	ADP
alkej-1008	388	14	identical	identical	ADJ
alkej-1008	388	15	dataset	dataset	NOUN
alkej-1008	388	16	conditions	condition	NOUN
alkej-1008	388	17	,	,	PUNCT
alkej-1008	388	18	emphasising	emphasise	VERB
alkej-1008	388	19	key	key	ADJ
alkej-1008	388	20	performance	performance	NOUN
alkej-1008	388	21	metrics	metric	NOUN
alkej-1008	388	22	.	.	PUNCT
alkej-1008	389	1	•	•	NUM
alkej-1008	389	2	case	case	NOUN
alkej-1008	389	3	1	1	NUM
alkej-1008	389	4	:	:	PUNCT
alkej-1008	389	5	to	to	PART
alkej-1008	389	6	justify	justify	VERB
alkej-1008	389	7	the	the	DET
alkej-1008	389	8	performance	performance	NOUN
alkej-1008	389	9	of	of	ADP
alkej-1008	389	10	the	the	DET
alkej-1008	389	11	proposed	propose	VERB
alkej-1008	389	12	phishing	phishe	VERB
alkej-1008	389	13	detection	detection	NOUN
alkej-1008	389	14	method	method	NOUN
alkej-1008	389	15	,	,	PUNCT
alkej-1008	389	16	it	it	PRON
alkej-1008	389	17	is	be	AUX
alkej-1008	389	18	compared	compare	VERB
alkej-1008	389	19	with	with	ADP
alkej-1008	389	20	studies	study	NOUN
alkej-1008	389	21	that	that	PRON
alkej-1008	389	22	utilise	utilise	VERB
alkej-1008	389	23	the	the	DET
alkej-1008	389	24	same	same	ADJ
alkej-1008	389	25	dataset	dataset	NOUN
alkej-1008	389	26	.	.	PUNCT
alkej-1008	390	1	[	[	X
alkej-1008	390	2	47	47	NUM
alkej-1008	390	3	]	]	PUNCT
alkej-1008	390	4	the	the	DET
alkej-1008	390	5	study	study	NOUN
alkej-1008	390	6	focuses	focus	VERB
alkej-1008	390	7	on	on	ADP
alkej-1008	390	8	establishing	establish	VERB
alkej-1008	390	9	reproducible	reproducible	ADJ
alkej-1008	390	10	benchmarks	benchmark	NOUN
alkej-1008	390	11	for	for	ADP
alkej-1008	390	12	phishing	phishe	VERB
alkej-1008	390	13	detection	detection	NOUN
alkej-1008	390	14	using	use	VERB
alkej-1008	390	15	a	a	DET
alkej-1008	390	16	dataset	dataset	NOUN
alkej-1008	390	17	of	of	ADP
alkej-1008	390	18	11,430	11,430	NUM
alkej-1008	390	19	samples	sample	NOUN
alkej-1008	390	20	with	with	ADP
alkej-1008	390	21	87	87	NUM
alkej-1008	390	22	features	feature	NOUN
alkej-1008	390	23	spanning	span	VERB
alkej-1008	390	24	url	url	NOUN
alkej-1008	390	25	characteristics	characteristic	NOUN
alkej-1008	390	26	,	,	PUNCT
alkej-1008	390	27	web	web	NOUN
alkej-1008	390	28	page	page	NOUN
alkej-1008	390	29	content	content	NOUN
alkej-1008	390	30	and	and	CCONJ
alkej-1008	390	31	external	external	ADJ
alkej-1008	390	32	service	service	NOUN
alkej-1008	390	33	data	datum	NOUN
alkej-1008	390	34	.	.	PUNCT
alkej-1008	391	1	the	the	DET
alkej-1008	391	2	authors	author	NOUN
alkej-1008	391	3	employed	employ	VERB
alkej-1008	391	4	feature	feature	NOUN
alkej-1008	391	5	selection	selection	NOUN
alkej-1008	391	6	methods	method	NOUN
alkej-1008	391	7	,	,	PUNCT
alkej-1008	391	8	namely	namely	ADV
alkej-1008	391	9	filter	filter	NOUN
alkej-1008	391	10	and	and	CCONJ
alkej-1008	391	11	wrapper	wrapper	NOUN
alkej-1008	391	12	methods	method	NOUN
alkej-1008	391	13	,	,	PUNCT
alkej-1008	391	14	for	for	ADP
alkej-1008	391	15	identifying	identify	VERB
alkej-1008	391	16	significant	significant	ADJ
alkej-1008	391	17	improvements	improvement	NOUN
alkej-1008	391	18	in	in	ADP
alkej-1008	391	19	model	model	NOUN
alkej-1008	391	20	performance	performance	NOUN
alkej-1008	391	21	when	when	SCONJ
alkej-1008	391	22	using	use	VERB
alkej-1008	391	23	filter	filter	NOUN
alkej-1008	391	24	-	-	PUNCT
alkej-1008	391	25	based	base	VERB
alkej-1008	391	26	incremental	incremental	ADJ
alkej-1008	391	27	feature	feature	NOUN
alkej-1008	391	28	ranking	ranking	NOUN
alkej-1008	391	29	.	.	PUNCT
alkej-1008	392	1	amongst	amongst	ADP
alkej-1008	392	2	the	the	DET
alkej-1008	392	3	classifiers	classifier	NOUN
alkej-1008	392	4	evaluated	evaluate	VERB
alkej-1008	392	5	,	,	PUNCT
alkej-1008	392	6	random	random	ADJ
alkej-1008	392	7	forest	forest	NOUN
alkej-1008	392	8	achieved	achieve	VERB
alkej-1008	392	9	the	the	DET
alkej-1008	392	10	highest	high	ADJ
alkej-1008	392	11	accuracy	accuracy	NOUN
alkej-1008	392	12	of	of	ADP
alkej-1008	392	13	96.83	96.83	NUM
alkej-1008	392	14	%	%	NOUN
alkej-1008	392	15	,	,	PUNCT
alkej-1008	392	16	surpassing	surpass	VERB
alkej-1008	392	17	other	other	ADJ
alkej-1008	392	18	models	model	NOUN
alkej-1008	392	19	such	such	ADJ
alkej-1008	392	20	as	as	ADP
alkej-1008	392	21	svm	svm	ADJ
alkej-1008	392	22	,	,	PUNCT
alkej-1008	392	23	knn	knn	ADJ
alkej-1008	392	24	and	and	CCONJ
alkej-1008	392	25	logistic	logistic	ADJ
alkej-1008	392	26	regression	regression	NOUN
alkej-1008	392	27	.	.	PUNCT
alkej-1008	393	1	the	the	DET
alkej-1008	393	2	study	study	NOUN
alkej-1008	393	3	underscores	underscore	VERB
alkej-1008	393	4	the	the	DET
alkej-1008	393	5	importance	importance	NOUN
alkej-1008	393	6	of	of	ADP
alkej-1008	393	7	feature	feature	NOUN
alkej-1008	393	8	selection	selection	NOUN
alkej-1008	393	9	in	in	ADP
alkej-1008	393	10	enhancing	enhance	VERB
alkej-1008	393	11	detection	detection	NOUN
alkej-1008	393	12	accuracy	accuracy	NOUN
alkej-1008	393	13	whilst	whilst	SCONJ
alkej-1008	393	14	reducing	reduce	VERB
alkej-1008	393	15	computational	computational	ADJ
alkej-1008	393	16	overhead	overhead	NOUN
alkej-1008	393	17	,	,	PUNCT
alkej-1008	393	18	providing	provide	VERB
alkej-1008	393	19	a	a	DET
alkej-1008	393	20	robust	robust	ADJ
alkej-1008	393	21	framework	framework	NOUN
alkej-1008	393	22	for	for	ADP
alkej-1008	393	23	comparing	compare	VERB
alkej-1008	393	24	phishing	phishe	VERB
alkej-1008	393	25	detection	detection	NOUN
alkej-1008	393	26	methodologies	methodology	NOUN
alkej-1008	393	27	,	,	PUNCT
alkej-1008	393	28	as	as	SCONJ
alkej-1008	393	29	shown	show	VERB
alkej-1008	393	30	in	in	ADP
alkej-1008	393	31	table	table	NOUN
alkej-1008	393	32	4	4	NUM
alkej-1008	393	33	.	.	PUNCT
alkej-1008	393	34	table	table	NOUN
alkej-1008	393	35	4	4	NUM
alkej-1008	393	36	presents	present	VERB
alkej-1008	393	37	a	a	DET
alkej-1008	393	38	comparison	comparison	NOUN
alkej-1008	393	39	on	on	ADP
alkej-1008	393	40	the	the	DET
alkej-1008	393	41	same	same	ADJ
alkej-1008	393	42	dataset	dataset	NOUN
alkej-1008	393	43	,	,	PUNCT
alkej-1008	393	44	with	with	ADP
alkej-1008	393	45	an	an	DET
alkej-1008	393	46	identical	identical	ADJ
alkej-1008	393	47	number	number	NOUN
alkej-1008	393	48	of	of	ADP
alkej-1008	393	49	samples	sample	NOUN
alkej-1008	393	50	and	and	CCONJ
alkej-1008	393	51	features	feature	NOUN
alkej-1008	393	52	but	but	CCONJ
alkej-1008	393	53	different	different	ADJ
alkej-1008	393	54	feature	feature	NOUN
alkej-1008	393	55	selection	selection	NOUN
alkej-1008	393	56	methods	method	NOUN
alkej-1008	393	57	applied	apply	VERB
alkej-1008	393	58	.	.	PUNCT
alkej-1008	394	1	the	the	DET
alkej-1008	394	2	referenced	reference	VERB
alkej-1008	394	3	study	study	NOUN
alkej-1008	394	4	employed	employ	VERB
alkej-1008	394	5	the	the	DET
alkej-1008	394	6	chisquare	chisquare	NOUN
alkej-1008	394	7	method	method	NOUN
alkej-1008	394	8	to	to	PART
alkej-1008	394	9	select	select	VERB
alkej-1008	394	10	features	feature	NOUN
alkej-1008	394	11	and	and	CCONJ
alkej-1008	394	12	improve	improve	VERB
alkej-1008	394	13	the	the	DET
alkej-1008	394	14	classifier	classifier	NOUN
alkej-1008	394	15	’s	’s	PART
alkej-1008	394	16	performance	performance	NOUN
alkej-1008	394	17	in	in	ADP
alkej-1008	394	18	phishing	phishe	VERB
alkej-1008	394	19	detection	detection	NOUN
alkej-1008	394	20	.	.	PUNCT
alkej-1008	395	1	the	the	DET
alkej-1008	395	2	results	result	NOUN
alkej-1008	395	3	were	be	AUX
alkej-1008	395	4	satisfactory	satisfactory	ADJ
alkej-1008	395	5	,	,	PUNCT
alkej-1008	395	6	utilising	utilise	VERB
alkej-1008	395	7	two	two	NUM
alkej-1008	395	8	evaluation	evaluation	NOUN
alkej-1008	395	9	metrics	metric	NOUN
alkej-1008	395	10	,	,	PUNCT
alkej-1008	395	11	namely	namely	ADV
alkej-1008	395	12	accuracy	accuracy	NOUN
alkej-1008	395	13	and	and	CCONJ
alkej-1008	395	14	f1	f1	NOUN
alkej-1008	395	15	-	-	PUNCT
alkej-1008	395	16	score	score	NOUN
alkej-1008	395	17	.	.	PUNCT
alkej-1008	396	1	amongst	amongst	ADP
alkej-1008	396	2	the	the	DET
alkej-1008	396	3	tested	test	VERB
alkej-1008	396	4	classifiers	classifier	NOUN
alkej-1008	396	5	,	,	PUNCT
alkej-1008	396	6	the	the	DET
alkej-1008	396	7	random	random	ADJ
alkej-1008	396	8	forest	forest	NOUN
alkej-1008	396	9	algorithm	algorithm	NOUN
alkej-1008	396	10	achieved	achieve	VERB
alkej-1008	396	11	the	the	DET
alkej-1008	396	12	highest	high	ADJ
alkej-1008	396	13	performance	performance	NOUN
alkej-1008	396	14	in	in	ADP
alkej-1008	396	15	this	this	DET
alkej-1008	396	16	experiment	experiment	NOUN
alkej-1008	396	17	.	.	PUNCT
alkej-1008	397	1	this	this	DET
alkej-1008	397	2	comparison	comparison	NOUN
alkej-1008	397	3	primarily	primarily	ADV
alkej-1008	397	4	aims	aim	VERB
alkej-1008	397	5	to	to	PART
alkej-1008	397	6	demonstrate	demonstrate	VERB
alkej-1008	397	7	the	the	DET
alkej-1008	397	8	efficiency	efficiency	NOUN
alkej-1008	397	9	of	of	ADP
alkej-1008	397	10	the	the	DET
alkej-1008	397	11	genetic	genetic	ADJ
alkej-1008	397	12	algorithm	algorithm	NOUN
alkej-1008	397	13	in	in	ADP
alkej-1008	397	14	feature	feature	NOUN
alkej-1008	397	15	selection	selection	NOUN
alkej-1008	397	16	,	,	PUNCT
alkej-1008	397	17	as	as	SCONJ
alkej-1008	397	18	it	it	PRON
alkej-1008	397	19	significantly	significantly	ADV
alkej-1008	397	20	outperformed	outperform	VERB
alkej-1008	397	21	the	the	DET
alkej-1008	397	22	chisquare	chisquare	NOUN
alkej-1008	397	23	method	method	NOUN
alkej-1008	397	24	.	.	PUNCT
alkej-1008	398	1	notably	notably	ADV
alkej-1008	398	2	,	,	PUNCT
alkej-1008	398	3	the	the	DET
alkej-1008	398	4	proposed	propose	VERB
alkej-1008	398	5	model	model	NOUN
alkej-1008	398	6	is	be	AUX
alkej-1008	398	7	in	in	ADP
alkej-1008	398	8	its	its	PRON
alkej-1008	398	9	initial	initial	ADJ
alkej-1008	398	10	development	development	NOUN
alkej-1008	398	11	stage	stage	NOUN
alkej-1008	398	12	,	,	PUNCT
alkej-1008	398	13	focusing	focus	VERB
alkej-1008	398	14	solely	solely	ADV
alkej-1008	398	15	on	on	ADP
alkej-1008	398	16	the	the	DET
alkej-1008	398	17	genetic	genetic	ADJ
alkej-1008	398	18	algorithm	algorithm	NOUN
alkej-1008	398	19	for	for	ADP
alkej-1008	398	20	feature	feature	NOUN
alkej-1008	398	21	selection	selection	NOUN
alkej-1008	398	22	without	without	ADP
alkej-1008	398	23	incorporating	incorporate	VERB
alkej-1008	398	24	k	k	ADJ
alkej-1008	398	25	-	-	PUNCT
alkej-1008	398	26	means	means	NOUN
alkej-1008	398	27	clustering	cluster	VERB
alkej-1008	398	28	or	or	CCONJ
alkej-1008	398	29	ensemble	ensemble	ADJ
alkej-1008	398	30	learning	learning	NOUN
alkej-1008	398	31	techniques	technique	NOUN
alkej-1008	398	32	.	.	PUNCT
alkej-1008	399	1	•	•	NUM
alkej-1008	399	2	case	case	NOUN
alkej-1008	399	3	2	2	NUM
alkej-1008	399	4	:	:	PUNCT
alkej-1008	399	5	this	this	DET
alkej-1008	399	6	study	study	NOUN
alkej-1008	400	1	[	[	X
alkej-1008	400	2	15	15	NUM
alkej-1008	400	3	]	]	X
alkej-1008	400	4	utilised	utilise	VERB
alkej-1008	400	5	the	the	DET
alkej-1008	400	6	same	same	ADJ
alkej-1008	400	7	proposed	propose	VERB
alkej-1008	400	8	dataset	dataset	NOUN
alkej-1008	400	9	and	and	CCONJ
alkej-1008	400	10	was	be	AUX
alkej-1008	400	11	divided	divide	VERB
alkej-1008	400	12	and	and	CCONJ
alkej-1008	400	13	processed	process	VERB
alkej-1008	400	14	using	use	VERB
alkej-1008	400	15	the	the	DET
alkej-1008	400	16	10	10	NUM
alkej-1008	400	17	-	-	ADJ
alkej-1008	400	18	fold	fold	ADJ
alkej-1008	400	19	cross	cross	ADJ
alkej-1008	400	20	-	-	ADJ
alkej-1008	400	21	validation	validation	ADJ
alkej-1008	400	22	method	method	NOUN
alkej-1008	400	23	.	.	PUNCT
alkej-1008	401	1	this	this	DET
alkej-1008	401	2	approach	approach	NOUN
alkej-1008	401	3	enhanced	enhance	VERB
alkej-1008	401	4	the	the	DET
alkej-1008	401	5	model	model	NOUN
alkej-1008	401	6	’s	’s	PART
alkej-1008	401	7	efficiency	efficiency	NOUN
alkej-1008	401	8	and	and	CCONJ
alkej-1008	401	9	robustness	robustness	NOUN
alkej-1008	401	10	.	.	PUNCT
alkej-1008	402	1	subsequently	subsequently	ADV
alkej-1008	402	2	,	,	PUNCT
alkej-1008	402	3	the	the	DET
alkej-1008	402	4	recursive	recursive	ADJ
alkej-1008	402	5	feature	feature	NOUN
alkej-1008	402	6	elimination	elimination	NOUN
alkej-1008	402	7	(	(	PUNCT
alkej-1008	402	8	rfe	rfe	NOUN
alkej-1008	402	9	)	)	PUNCT
alkej-1008	402	10	technique	technique	NOUN
alkej-1008	402	11	was	be	AUX
alkej-1008	402	12	employed	employ	VERB
alkej-1008	402	13	to	to	PART
alkej-1008	402	14	identify	identify	VERB
alkej-1008	402	15	the	the	DET
alkej-1008	402	16	most	most	ADV
alkej-1008	402	17	representative	representative	ADJ
alkej-1008	402	18	subset	subset	NOUN
alkej-1008	402	19	of	of	ADP
alkej-1008	402	20	features	feature	NOUN
alkej-1008	402	21	for	for	ADP
alkej-1008	402	22	the	the	DET
alkej-1008	402	23	dataset	dataset	NOUN
alkej-1008	402	24	.	.	PUNCT
alkej-1008	403	1	rfe	rfe	PROPN
alkej-1008	403	2	iteratively	iteratively	ADV
alkej-1008	403	3	removed	remove	VERB
alkej-1008	403	4	the	the	DET
alkej-1008	403	5	least	least	ADJ
alkej-1008	403	6	significant	significant	ADJ
alkej-1008	403	7	features	feature	NOUN
alkej-1008	403	8	based	base	VERB
alkej-1008	403	9	on	on	ADP
alkej-1008	403	10	model	model	NOUN
alkej-1008	403	11	performance	performance	NOUN
alkej-1008	403	12	until	until	SCONJ
alkej-1008	403	13	the	the	DET
alkej-1008	403	14	optimal	optimal	ADJ
alkej-1008	403	15	feature	feature	NOUN
alkej-1008	403	16	set	set	NOUN
alkej-1008	403	17	was	be	AUX
alkej-1008	403	18	achieved	achieve	VERB
alkej-1008	403	19	.	.	PUNCT
alkej-1008	404	1	table	table	NOUN
alkej-1008	404	2	4	4	NUM
alkej-1008	404	3	,	,	PUNCT
alkej-1008	404	4	comparison	comparison	NOUN
alkej-1008	404	5	of	of	ADP
alkej-1008	404	6	feature	feature	NOUN
alkej-1008	404	7	selection	selection	NOUN
alkej-1008	404	8	methods	method	NOUN
alkej-1008	404	9	across	across	ADP
alkej-1008	404	10	classifiers	classifier	NOUN
alkej-1008	404	11	ref	ref	VERB
alkej-1008	404	12	.	.	PUNCT
alkej-1008	405	1	feature	feature	NOUN
alkej-1008	405	2	selection	selection	NOUN
alkej-1008	405	3	method	method	NOUN
alkej-1008	405	4	classifiers	classifier	NOUN
alkej-1008	405	5	accuracy	accuracy	NOUN
alkej-1008	405	6	f1	f1	NOUN
alkej-1008	405	7	-	-	PUNCT
alkej-1008	405	8	score	score	NOUN
alkej-1008	406	1	[	[	X
alkej-1008	406	2	47	47	NUM
alkej-1008	406	3	]	]	X
alkej-1008	406	4	chi	chi	ADJ
alkej-1008	406	5	-	-	PUNCT
alkej-1008	406	6	square	square	ADJ
alkej-1008	406	7	dt	dt	NOUN
alkej-1008	406	8	94.13	94.13	NUM
alkej-1008	406	9	%	%	NOUN
alkej-1008	406	10	94.10	94.10	NUM
alkej-1008	406	11	%	%	NOUN
alkej-1008	406	12	rf	rf	VERB
alkej-1008	406	13	96.83	96.83	NUM
alkej-1008	406	14	%	%	NOUN
alkej-1008	406	15	96.60	96.60	NUM
alkej-1008	406	16	%	%	NOUN
alkej-1008	406	17	lr	lr	X
alkej-1008	406	18	94.48	94.48	NUM
alkej-1008	406	19	%	%	NOUN
alkej-1008	406	20	94.50	94.50	NUM
alkej-1008	406	21	%	%	NOUN
alkej-1008	406	22	nv	nv	PROPN
alkej-1008	406	23	79.80	79.80	NUM
alkej-1008	406	24	%	%	NOUN
alkej-1008	406	25	79.80	79.80	NUM
alkej-1008	406	26	%	%	NOUN
alkej-1008	406	27	svm	svm	NOUN
alkej-1008	406	28	73.95	73.95	NUM
alkej-1008	406	29	%	%	NOUN
alkej-1008	406	30	72.10	72.10	NUM
alkej-1008	406	31	%	%	NOUN
alkej-1008	406	32	proposed	propose	VERB
alkej-1008	406	33	model	model	NOUN
alkej-1008	406	34	genetic	genetic	ADJ
alkej-1008	406	35	algorithm	algorithm	NOUN
alkej-1008	406	36	rf	rf	VERB
alkej-1008	406	37	97.55	97.55	NUM
alkej-1008	406	38	%	%	NOUN
alkej-1008	406	39	97.54	97.54	NUM
alkej-1008	406	40	%	%	NOUN
alkej-1008	406	41	xgboost	xgboost	ADV
alkej-1008	407	1	97.70	97.70	NUM
alkej-1008	407	2	%	%	NOUN
alkej-1008	407	3	97.69	97.69	NUM
alkej-1008	407	4	%	%	NOUN
alkej-1008	407	5	svm	svm	VERB
alkej-1008	407	6	95.11	95.11	NUM
alkej-1008	407	7	%	%	NOUN
alkej-1008	407	8	95.12	95.12	NUM
alkej-1008	407	9	%	%	NOUN
alkej-1008	407	10	adaboost	adaboost	ADV
alkej-1008	407	11	95.97	95.97	NUM
alkej-1008	407	12	%	%	NOUN
alkej-1008	407	13	95.97	95.97	NUM
alkej-1008	407	14	%	%	NOUN
alkej-1008	407	15	ali	ali	PROPN
alkej-1008	407	16	raheem	raheem	PROPN
alkej-1008	407	17	al	al	PROPN
alkej-1008	407	18	-	-	PROPN
alkej-1008	407	19	hafiz	hafiz	PROPN
alkej-1008	407	20	al	al	PROPN
alkej-1008	407	21	-	-	PUNCT
alkej-1008	407	22	khwarizmi	khwarizmi	PROPN
alkej-1008	407	23	engineering	engineering	NOUN
alkej-1008	407	24	journal	journal	PROPN
alkej-1008	407	25	,	,	PUNCT
alkej-1008	407	26	vol	vol	NOUN
alkej-1008	407	27	.	.	PROPN
alkej-1008	407	28	21	21	NUM
alkej-1008	407	29	,	,	PUNCT
alkej-1008	407	30	no.2	no.2	PROPN
alkej-1008	407	31	,	,	PUNCT
alkej-1008	407	32	pp	pp	ADJ
alkej-1008	407	33	.	.	PUNCT
alkej-1008	408	1	117	117	NUM
alkej-1008	408	2	-	-	SYM
alkej-1008	408	3	135	135	NUM
alkej-1008	408	4	(	(	PUNCT
alkej-1008	408	5	2025	2025	NUM
alkej-1008	408	6	)	)	PUNCT
alkej-1008	408	7	131	131	NUM
alkej-1008	408	8	once	once	SCONJ
alkej-1008	408	9	the	the	DET
alkej-1008	408	10	feature	feature	NOUN
alkej-1008	408	11	selection	selection	NOUN
alkej-1008	408	12	process	process	NOUN
alkej-1008	408	13	was	be	AUX
alkej-1008	408	14	completed	complete	VERB
alkej-1008	408	15	,	,	PUNCT
alkej-1008	408	16	the	the	DET
alkej-1008	408	17	refined	refined	ADJ
alkej-1008	408	18	data	datum	NOUN
alkej-1008	408	19	were	be	AUX
alkej-1008	408	20	fed	feed	VERB
alkej-1008	408	21	into	into	ADP
alkej-1008	408	22	the	the	DET
alkej-1008	408	23	classifiers	classifier	NOUN
alkej-1008	408	24	,	,	PUNCT
alkej-1008	408	25	including	include	VERB
alkej-1008	408	26	support	support	NOUN
alkej-1008	408	27	vector	vector	NOUN
alkej-1008	408	28	machines	machine	NOUN
alkej-1008	408	29	(	(	PUNCT
alkej-1008	408	30	svm	svm	PROPN
alkej-1008	408	31	)	)	PUNCT
alkej-1008	408	32	,	,	PUNCT
alkej-1008	408	33	random	random	ADJ
alkej-1008	408	34	forest	forest	NOUN
alkej-1008	408	35	(	(	PUNCT
alkej-1008	408	36	rf	rf	NOUN
alkej-1008	408	37	)	)	PUNCT
alkej-1008	408	38	,	,	PUNCT
alkej-1008	408	39	xgboost	xgboost	X
alkej-1008	408	40	(	(	PUNCT
alkej-1008	408	41	xgb	xgb	NUM
alkej-1008	408	42	)	)	PUNCT
alkej-1008	408	43	and	and	CCONJ
alkej-1008	408	44	adaboost	adaboost	ADV
alkej-1008	408	45	(	(	PUNCT
alkej-1008	408	46	ada	ada	PROPN
alkej-1008	408	47	)	)	PUNCT
alkej-1008	408	48	.	.	PUNCT
alkej-1008	409	1	the	the	DET
alkej-1008	409	2	results	result	NOUN
alkej-1008	409	3	were	be	AUX
alkej-1008	409	4	then	then	ADV
alkej-1008	409	5	compared	compare	VERB
alkej-1008	409	6	using	use	VERB
alkej-1008	409	7	evaluation	evaluation	NOUN
alkej-1008	409	8	metrics	metric	NOUN
alkej-1008	409	9	such	such	ADJ
alkej-1008	409	10	as	as	ADP
alkej-1008	409	11	accuracy	accuracy	NOUN
alkej-1008	409	12	,	,	PUNCT
alkej-1008	409	13	f1	f1	NOUN
alkej-1008	409	14	-	-	PUNCT
alkej-1008	409	15	score	score	NOUN
alkej-1008	409	16	and	and	CCONJ
alkej-1008	409	17	precision	precision	NOUN
alkej-1008	409	18	to	to	PART
alkej-1008	409	19	determine	determine	VERB
alkej-1008	409	20	the	the	DET
alkej-1008	409	21	performance	performance	NOUN
alkej-1008	409	22	of	of	ADP
alkej-1008	409	23	the	the	DET
alkej-1008	409	24	proposed	propose	VERB
alkej-1008	409	25	framework	framework	NOUN
alkej-1008	409	26	,	,	PUNCT
alkej-1008	409	27	as	as	SCONJ
alkej-1008	409	28	shown	show	VERB
alkej-1008	409	29	in	in	ADP
alkej-1008	409	30	table	table	NOUN
alkej-1008	409	31	5	5	NUM
alkej-1008	409	32	.	.	PUNCT
alkej-1008	410	1	in	in	ADP
alkej-1008	410	2	the	the	DET
alkej-1008	410	3	table	table	NOUN
alkej-1008	410	4	above	above	ADV
alkej-1008	410	5	,	,	PUNCT
alkej-1008	410	6	the	the	DET
alkej-1008	410	7	comparison	comparison	NOUN
alkej-1008	410	8	primarily	primarily	ADV
alkej-1008	410	9	relies	rely	VERB
alkej-1008	410	10	on	on	ADP
alkej-1008	410	11	feature	feature	NOUN
alkej-1008	410	12	selection	selection	NOUN
alkej-1008	410	13	methods	method	NOUN
alkej-1008	410	14	,	,	PUNCT
alkej-1008	410	15	despite	despite	SCONJ
alkej-1008	410	16	the	the	DET
alkej-1008	410	17	similarity	similarity	NOUN
alkej-1008	410	18	in	in	ADP
alkej-1008	410	19	the	the	DET
alkej-1008	410	20	datasets	dataset	NOUN
alkej-1008	410	21	and	and	CCONJ
alkej-1008	410	22	classifiers	classifier	NOUN
alkej-1008	410	23	used	use	VERB
alkej-1008	410	24	.	.	PUNCT
alkej-1008	411	1	however	however	ADV
alkej-1008	411	2	,	,	PUNCT
alkej-1008	411	3	the	the	DET
alkej-1008	411	4	highest	high	ADJ
alkej-1008	411	5	accuracy	accuracy	NOUN
alkej-1008	411	6	,	,	PUNCT
alkej-1008	411	7	f1	f1	NOUN
alkej-1008	411	8	-	-	PUNCT
alkej-1008	411	9	score	score	NOUN
alkej-1008	411	10	and	and	CCONJ
alkej-1008	411	11	precision	precision	NOUN
alkej-1008	411	12	were	be	AUX
alkej-1008	411	13	achieved	achieve	VERB
alkej-1008	411	14	by	by	ADP
alkej-1008	411	15	the	the	DET
alkej-1008	411	16	xgb	xgb	PROPN
alkej-1008	411	17	classifier	classifier	NOUN
alkej-1008	411	18	.	.	PUNCT
alkej-1008	412	1	nonetheless	nonetheless	ADV
alkej-1008	412	2	,	,	PUNCT
alkej-1008	412	3	all	all	DET
alkej-1008	412	4	classifiers	classifier	NOUN
alkej-1008	412	5	in	in	ADP
alkej-1008	412	6	the	the	DET
alkej-1008	412	7	proposed	propose	VERB
alkej-1008	412	8	phishing	phishe	VERB
alkej-1008	412	9	detection	detection	NOUN
alkej-1008	412	10	model	model	NOUN
alkej-1008	412	11	notably	notably	ADV
alkej-1008	412	12	outperform	outperform	VERB
alkej-1008	412	13	the	the	DET
alkej-1008	412	14	results	result	NOUN
alkej-1008	412	15	in	in	ADP
alkej-1008	412	16	terms	term	NOUN
alkej-1008	412	17	of	of	ADP
alkej-1008	412	18	accuracy	accuracy	NOUN
alkej-1008	412	19	,	,	PUNCT
alkej-1008	412	20	f1	f1	NOUN
alkej-1008	412	21	-	-	PUNCT
alkej-1008	412	22	score	score	NOUN
alkej-1008	412	23	and	and	CCONJ
alkej-1008	412	24	precision	precision	NOUN
alkej-1008	412	25	.	.	PUNCT
alkej-1008	413	1	•	•	NUM
alkej-1008	413	2	case	case	NOUN
alkej-1008	413	3	3	3	NUM
alkej-1008	413	4	:	:	PUNCT
alkej-1008	413	5	this	this	DET
alkej-1008	413	6	study	study	NOUN
alkej-1008	414	1	[	[	X
alkej-1008	414	2	47	47	NUM
alkej-1008	414	3	]	]	PUNCT
alkej-1008	414	4	used	use	VERB
alkej-1008	414	5	datasets	dataset	NOUN
alkej-1008	414	6	from	from	ADP
alkej-1008	414	7	different	different	ADJ
alkej-1008	414	8	repositories	repository	NOUN
alkej-1008	414	9	,	,	PUNCT
alkej-1008	414	10	and	and	CCONJ
alkej-1008	414	11	a	a	DET
alkej-1008	414	12	sophisticated	sophisticated	ADJ
alkej-1008	414	13	stacking	stacking	NOUN
alkej-1008	414	14	ensemble	ensemble	ADJ
alkej-1008	414	15	classifier	classifier	NOUN
alkej-1008	414	16	was	be	AUX
alkej-1008	414	17	proposed	propose	VERB
alkej-1008	414	18	as	as	ADP
alkej-1008	414	19	the	the	DET
alkej-1008	414	20	model	model	NOUN
alkej-1008	414	21	.	.	PUNCT
alkej-1008	415	1	the	the	DET
alkej-1008	415	2	proposed	propose	VERB
alkej-1008	415	3	model	model	NOUN
alkej-1008	415	4	was	be	AUX
alkej-1008	415	5	compared	compare	VERB
alkej-1008	415	6	with	with	ADP
alkej-1008	415	7	its	its	PRON
alkej-1008	415	8	final	final	ADJ
alkej-1008	415	9	enhancement	enhancement	NOUN
alkej-1008	415	10	,	,	PUNCT
alkej-1008	415	11	namely	namely	ADV
alkej-1008	415	12	k	k	PROPN
alkej-1008	415	13	-	-	PUNCT
alkej-1008	415	14	gen	gen	ADJ
alkej-1008	415	15	phish	phish	NOUN
alkej-1008	415	16	guard	guard	NOUN
alkej-1008	415	17	.	.	PUNCT
alkej-1008	416	1	table	table	NOUN
alkej-1008	416	2	6	6	NUM
alkej-1008	416	3	compares	compare	VERB
alkej-1008	416	4	with	with	ADP
alkej-1008	416	5	two	two	NUM
alkej-1008	416	6	different	different	ADJ
alkej-1008	416	7	models	model	NOUN
alkej-1008	416	8	that	that	PRON
alkej-1008	416	9	utilise	utilise	VERB
alkej-1008	416	10	the	the	DET
alkej-1008	416	11	same	same	ADJ
alkej-1008	416	12	dataset	dataset	NOUN
alkej-1008	416	13	,	,	PUNCT
alkej-1008	416	14	(	(	PUNCT
alkej-1008	416	15	dataset-4	dataset-4	NOUN
alkej-1008	416	16	)	)	PUNCT
alkej-1008	416	17	consisting	consist	VERB
alkej-1008	416	18	of	of	ADP
alkej-1008	416	19	11	11	NUM
alkej-1008	416	20	,	,	PUNCT
alkej-1008	416	21	430	430	NUM
alkej-1008	416	22	samples	sample	NOUN
alkej-1008	416	23	and	and	CCONJ
alkej-1008	416	24	87	87	NUM
alkej-1008	416	25	features	feature	NOUN
alkej-1008	416	26	.	.	PUNCT
alkej-1008	417	1	in	in	ADP
alkej-1008	417	2	the	the	DET
alkej-1008	417	3	first	first	ADJ
alkej-1008	417	4	model	model	NOUN
alkej-1008	417	5	,	,	PUNCT
alkej-1008	417	6	a	a	DET
alkej-1008	417	7	sophisticated	sophisticated	ADJ
alkej-1008	417	8	framework	framework	NOUN
alkej-1008	417	9	,	,	PUNCT
alkej-1008	417	10	a	a	DET
alkej-1008	417	11	combination	combination	NOUN
alkej-1008	417	12	of	of	ADP
alkej-1008	417	13	feature	feature	NOUN
alkej-1008	417	14	selection	selection	NOUN
alkej-1008	417	15	methods	method	NOUN
alkej-1008	417	16	,	,	PUNCT
alkej-1008	417	17	greedy	greedy	ADJ
alkej-1008	417	18	algorithms	algorithm	NOUN
alkej-1008	417	19	,	,	PUNCT
alkej-1008	417	20	cross	cross	NOUN
alkej-1008	417	21	-	-	ADJ
alkej-1008	417	22	validation	validation	ADJ
alkej-1008	417	23	and	and	CCONJ
alkej-1008	417	24	deep	deep	ADJ
alkej-1008	417	25	learning	learning	NOUN
alkej-1008	417	26	techniques	technique	NOUN
alkej-1008	417	27	were	be	AUX
alkej-1008	417	28	used	use	VERB
alkej-1008	417	29	to	to	PART
alkej-1008	417	30	build	build	VERB
alkej-1008	417	31	a	a	DET
alkej-1008	417	32	stacking	stack	VERB
alkej-1008	417	33	ensemble	ensemble	ADJ
alkej-1008	417	34	classifier	classifier	NOUN
alkej-1008	417	35	.	.	PUNCT
alkej-1008	418	1	the	the	DET
alkej-1008	418	2	highest	high	ADJ
alkej-1008	418	3	performance	performance	NOUN
alkej-1008	418	4	was	be	AUX
alkej-1008	418	5	achieved	achieve	VERB
alkej-1008	418	6	on	on	ADP
alkej-1008	418	7	dataset-4	dataset-4	PROPN
alkej-1008	418	8	,	,	PUNCT
alkej-1008	418	9	with	with	ADP
alkej-1008	418	10	an	an	DET
alkej-1008	418	11	accuracy	accuracy	NOUN
alkej-1008	418	12	of	of	ADP
alkej-1008	418	13	98.20	98.20	NUM
alkej-1008	418	14	%	%	NOUN
alkej-1008	418	15	.	.	PUNCT
alkej-1008	419	1	in	in	ADP
alkej-1008	419	2	the	the	DET
alkej-1008	419	3	second	second	ADJ
alkej-1008	419	4	proposed	propose	VERB
alkej-1008	419	5	model	model	NOUN
alkej-1008	419	6	(	(	PUNCT
alkej-1008	419	7	k	k	ADJ
alkej-1008	419	8	-	-	PUNCT
alkej-1008	419	9	gen	gen	ADJ
alkej-1008	419	10	phish	phish	NOUN
alkej-1008	419	11	guard	guard	NOUN
alkej-1008	419	12	)	)	PUNCT
alkej-1008	419	13	,	,	PUNCT
alkej-1008	419	14	genetic	genetic	ADJ
alkej-1008	419	15	algorithms	algorithm	NOUN
alkej-1008	419	16	were	be	AUX
alkej-1008	419	17	used	use	VERB
alkej-1008	419	18	once	once	ADV
alkej-1008	419	19	again	again	ADV
alkej-1008	419	20	—	—	PUNCT
alkej-1008	419	21	this	this	DET
alkej-1008	419	22	time	time	NOUN
alkej-1008	419	23	to	to	PART
alkej-1008	419	24	select	select	VERB
alkej-1008	419	25	the	the	DET
alkej-1008	419	26	best	well	ADV
alkej-1008	419	27	-	-	PUNCT
alkej-1008	419	28	performing	perform	VERB
alkej-1008	419	29	classifiers	classifier	NOUN
alkej-1008	419	30	in	in	ADP
alkej-1008	419	31	combination	combination	NOUN
alkej-1008	419	32	with	with	ADP
alkej-1008	419	33	soft	soft	ADJ
alkej-1008	419	34	voting	voting	NOUN
alkej-1008	419	35	ensemble	ensemble	ADJ
alkej-1008	419	36	learning	learning	NOUN
alkej-1008	419	37	.	.	PUNCT
alkej-1008	420	1	this	this	DET
alkej-1008	420	2	model	model	NOUN
alkej-1008	420	3	demonstrated	demonstrate	VERB
alkej-1008	420	4	high	high	ADJ
alkej-1008	420	5	efficiency	efficiency	NOUN
alkej-1008	420	6	and	and	CCONJ
alkej-1008	420	7	performance	performance	NOUN
alkej-1008	420	8	,	,	PUNCT
alkej-1008	420	9	achieving	achieve	VERB
alkej-1008	420	10	99	99	NUM
alkej-1008	420	11	%	%	NOUN
alkej-1008	420	12	in	in	ADP
alkej-1008	420	13	accuracy	accuracy	NOUN
alkej-1008	420	14	,	,	PUNCT
alkej-1008	420	15	f1score	f1score	NOUN
alkej-1008	420	16	and	and	CCONJ
alkej-1008	420	17	precision	precision	NOUN
alkej-1008	420	18	across	across	ADP
alkej-1008	420	19	most	most	ADJ
alkej-1008	420	20	clusters	cluster	NOUN
alkej-1008	420	21	and	and	CCONJ
alkej-1008	420	22	outperforming	outperform	VERB
alkej-1008	420	23	the	the	DET
alkej-1008	420	24	first	first	ADJ
alkej-1008	420	25	model	model	NOUN
alkej-1008	420	26	in	in	ADP
alkej-1008	420	27	nearly	nearly	ADV
alkej-1008	420	28	all	all	PRON
alkej-1008	420	29	aspects	aspect	NOUN
alkej-1008	420	30	.	.	PUNCT
alkej-1008	421	1	table	table	NOUN
alkej-1008	421	2	5	5	NUM
alkej-1008	421	3	,	,	PUNCT
alkej-1008	421	4	comparison	comparison	NOUN
alkej-1008	421	5	between	between	ADP
alkej-1008	421	6	rfe	rfe	PROPN
alkej-1008	421	7	and	and	CCONJ
alkej-1008	421	8	ga	ga	PROPN
alkej-1008	421	9	across	across	ADP
alkej-1008	421	10	classifiers	classifier	NOUN
alkej-1008	421	11	ref	ref	VERB
alkej-1008	421	12	feature	feature	NOUN
alkej-1008	421	13	selection	selection	NOUN
alkej-1008	421	14	classifiers	classifier	NOUN
alkej-1008	421	15	acc	acc	PROPN
alkej-1008	421	16	p	p	PROPN
alkej-1008	421	17	f1	f1	PROPN
alkej-1008	421	18	[	[	X
alkej-1008	421	19	15	15	NUM
alkej-1008	421	20	]	]	PUNCT
alkej-1008	421	21	rfe	rfe	NOUN
alkej-1008	421	22	svm	svm	VERB
alkej-1008	421	23	95.9	95.9	NUM
alkej-1008	421	24	%	%	NOUN
alkej-1008	421	25	96.2	96.2	NUM
alkej-1008	421	26	%	%	NOUN
alkej-1008	421	27	95.8	95.8	NUM
alkej-1008	421	28	%	%	NOUN
alkej-1008	421	29	rf	rf	NUM
alkej-1008	421	30	96.6	96.6	NUM
alkej-1008	421	31	%	%	NOUN
alkej-1008	421	32	96.8	96.8	NUM
alkej-1008	421	33	%	%	NOUN
alkej-1008	421	34	96.6	96.6	NUM
alkej-1008	421	35	%	%	NOUN
alkej-1008	421	36	adaboost	adaboost	ADV
alkej-1008	421	37	94.6	94.6	NUM
alkej-1008	421	38	%	%	NOUN
alkej-1008	421	39	94.9	94.9	NUM
alkej-1008	421	40	%	%	NOUN
alkej-1008	421	41	94.6	94.6	NUM
alkej-1008	421	42	%	%	NOUN
alkej-1008	421	43	xgboost	xgboost	ADV
alkej-1008	422	1	97.0	97.0	NUM
alkej-1008	422	2	%	%	NOUN
alkej-1008	422	3	96.9	96.9	NUM
alkej-1008	422	4	%	%	NOUN
alkej-1008	422	5	97.0	97.0	NUM
alkej-1008	422	6	%	%	NOUN
alkej-1008	422	7	proposed	propose	VERB
alkej-1008	422	8	model	model	PROPN
alkej-1008	422	9	ga	ga	PROPN
alkej-1008	422	10	rf	rf	VERB
alkej-1008	422	11	97.5	97.5	NUM
alkej-1008	422	12	%	%	NOUN
alkej-1008	422	13	97.5	97.5	NUM
alkej-1008	422	14	%	%	NOUN
alkej-1008	422	15	97.5	97.5	NUM
alkej-1008	422	16	%	%	NOUN
alkej-1008	422	17	xgboost	xgboost	ADV
alkej-1008	422	18	97.7	97.7	NUM
alkej-1008	422	19	%	%	NOUN
alkej-1008	422	20	97.6	97.6	NUM
alkej-1008	422	21	%	%	NOUN
alkej-1008	422	22	97.6	97.6	NUM
alkej-1008	422	23	%	%	NOUN
alkej-1008	422	24	svm	svm	NOUN
alkej-1008	422	25	95.1	95.1	NUM
alkej-1008	422	26	%	%	NOUN
alkej-1008	422	27	95.1	95.1	NUM
alkej-1008	422	28	%	%	NOUN
alkej-1008	422	29	95.1	95.1	NUM
alkej-1008	422	30	%	%	NOUN
alkej-1008	422	31	adaboost	adaboost	ADV
alkej-1008	422	32	95.9	95.9	NUM
alkej-1008	422	33	%	%	NOUN
alkej-1008	422	34	95.9	95.9	NUM
alkej-1008	422	35	%	%	NOUN
alkej-1008	422	36	95.9	95.9	NUM
alkej-1008	422	37	%	%	NOUN
alkej-1008	422	38	table	table	NOUN
alkej-1008	422	39	6	6	NUM
alkej-1008	422	40	,	,	PUNCT
alkej-1008	422	41	comparison	comparison	NOUN
alkej-1008	422	42	of	of	ADP
alkej-1008	422	43	‘	'	PUNCT
alkej-1008	422	44	a	a	DET
alkej-1008	422	45	sophisticated	sophisticated	ADJ
alkej-1008	422	46	framework	framework	NOUN
alkej-1008	422	47	’	'	PUNCT
alkej-1008	422	48	and	and	CCONJ
alkej-1008	422	49	‘	'	PUNCT
alkej-1008	422	50	k	k	ADJ
alkej-1008	422	51	-	-	PUNCT
alkej-1008	422	52	gen	gen	ADJ
alkej-1008	422	53	phish	phish	NOUN
alkej-1008	422	54	guard	guard	NOUN
alkej-1008	422	55	’	'	PUNCT
alkej-1008	422	56	across	across	ADP
alkej-1008	422	57	datasets	dataset	NOUN
alkej-1008	422	58	and	and	CCONJ
alkej-1008	422	59	clusters	cluster	NOUN
alkej-1008	422	60	ref	ref	VERB
alkej-1008	422	61	mode	mode	PROPN
alkej-1008	422	62	dataset	dataset	NOUN
alkej-1008	422	63	/	/	SYM
alkej-1008	422	64	classifier	classifier	NOUN
alkej-1008	422	65	clusterno	clusterno	NOUN
alkej-1008	422	66	acc	acc	PROPN
alkej-1008	422	67	p	p	PROPN
alkej-1008	422	68	f1	f1	PROPN
alkej-1008	423	1	[	[	X
alkej-1008	423	2	48	48	NUM
alkej-1008	423	3	]	]	PUNCT
alkej-1008	423	4	single	single	ADJ
alkej-1008	423	5	and	and	CCONJ
alkej-1008	423	6	hybridensemble	hybridensemble	ADJ
alkej-1008	423	7	learning	learning	NOUN
alkej-1008	423	8	-	-	PUNCT
alkej-1008	423	9	based	base	VERB
alkej-1008	423	10	phishing	phishing	NOUN
alkej-1008	423	11	website	website	NOUN
alkej-1008	423	12	detection	detection	NOUN
alkej-1008	423	13	dataset4	dataset4	NOUN
alkej-1008	423	14	/	/	SYM
alkej-1008	423	15	stacking	stack	VERB
alkej-1008	423	16	98.20	98.20	NUM
alkej-1008	423	17	%	%	NOUN
alkej-1008	423	18	94.85	94.85	NUM
alkej-1008	423	19	%	%	NOUN
alkej-1008	423	20	94.45	94.45	NUM
alkej-1008	423	21	%	%	NOUN
alkej-1008	423	22	proposed	propose	VERB
alkej-1008	423	23	model	model	NOUN
alkej-1008	423	24	(	(	PUNCT
alkej-1008	423	25	k	k	ADJ
alkej-1008	423	26	-	-	PUNCT
alkej-1008	423	27	gen	gen	ADJ
alkej-1008	423	28	phish	phish	NOUN
alkej-1008	423	29	guard	guard	NOUN
alkej-1008	423	30	)	)	PUNCT
alkej-1008	423	31	dataset-4	dataset-4	PROPN
alkej-1008	423	32	/	/	SYM
alkej-1008	423	33	voting	voting	NOUN
alkej-1008	423	34	1	1	NUM
alkej-1008	423	35	99	99	NUM
alkej-1008	423	36	%	%	NOUN
alkej-1008	423	37	99	99	NUM
alkej-1008	423	38	%	%	NOUN
alkej-1008	423	39	99	99	NUM
alkej-1008	423	40	%	%	NOUN
alkej-1008	423	41	2	2	NUM
alkej-1008	423	42	98.6	98.6	NUM
alkej-1008	423	43	%	%	NOUN
alkej-1008	423	44	98.6	98.6	NUM
alkej-1008	423	45	%	%	NOUN
alkej-1008	423	46	98	98	NUM
alkej-1008	423	47	%	%	NOUN
alkej-1008	423	48	3	3	NUM
alkej-1008	423	49	98.9	98.9	NUM
alkej-1008	423	50	%	%	NOUN
alkej-1008	423	51	98.9	98.9	NUM
alkej-1008	423	52	%	%	NOUN
alkej-1008	423	53	98	98	NUM
alkej-1008	423	54	%	%	NOUN
alkej-1008	423	55	4	4	NUM
alkej-1008	423	56	98.5	98.5	NUM
alkej-1008	423	57	%	%	NOUN
alkej-1008	423	58	98.5	98.5	NUM
alkej-1008	423	59	%	%	NOUN
alkej-1008	423	60	98	98	NUM
alkej-1008	423	61	%	%	NOUN
alkej-1008	423	62	7	7	NUM
alkej-1008	423	63	.	.	NOUN
alkej-1008	423	64	conclusion	conclusion	NOUN
alkej-1008	423	65	an	an	DET
alkej-1008	423	66	effective	effective	ADJ
alkej-1008	423	67	and	and	CCONJ
alkej-1008	423	68	powerful	powerful	ADJ
alkej-1008	423	69	approach	approach	NOUN
alkej-1008	423	70	for	for	ADP
alkej-1008	423	71	detecting	detect	VERB
alkej-1008	423	72	phishing	phishe	VERB
alkej-1008	423	73	sites	site	NOUN
alkej-1008	423	74	through	through	ADP
alkej-1008	423	75	two	two	NUM
alkej-1008	423	76	scenario	scenario	NOUN
alkej-1008	423	77	comparisons	comparison	NOUN
alkej-1008	423	78	were	be	AUX
alkej-1008	423	79	presented	present	VERB
alkej-1008	423	80	.	.	PUNCT
alkej-1008	424	1	in	in	ADP
alkej-1008	424	2	the	the	DET
alkej-1008	424	3	first	first	ADJ
alkej-1008	424	4	comparisons	comparison	NOUN
alkej-1008	424	5	,	,	PUNCT
alkej-1008	424	6	the	the	DET
alkej-1008	424	7	classifiers	classifier	NOUN
alkej-1008	424	8	were	be	AUX
alkej-1008	424	9	evaluated	evaluate	VERB
alkej-1008	424	10	before	before	ADP
alkej-1008	424	11	and	and	CCONJ
alkej-1008	424	12	after	after	SCONJ
alkej-1008	424	13	the	the	DET
alkej-1008	424	14	genetic	genetic	ADJ
alkej-1008	424	15	algorithm	algorithm	NOUN
alkej-1008	424	16	was	be	AUX
alkej-1008	424	17	used	use	VERB
alkej-1008	424	18	.	.	PUNCT
alkej-1008	425	1	remarkable	remarkable	ADJ
alkej-1008	425	2	progress	progress	NOUN
alkej-1008	425	3	in	in	ADP
alkej-1008	425	4	the	the	DET
alkej-1008	425	5	accuracy	accuracy	NOUN
alkej-1008	425	6	and	and	CCONJ
alkej-1008	425	7	efficiency	efficiency	NOUN
alkej-1008	425	8	of	of	ADP
alkej-1008	425	9	the	the	DET
alkej-1008	425	10	model	model	NOUN
alkej-1008	425	11	in	in	ADP
alkej-1008	425	12	detecting	detect	VERB
alkej-1008	425	13	phishing	phishe	VERB
alkej-1008	425	14	was	be	AUX
alkej-1008	425	15	observed	observe	VERB
alkej-1008	425	16	,	,	PUNCT
alkej-1008	425	17	which	which	PRON
alkej-1008	425	18	was	be	AUX
alkej-1008	425	19	referred	refer	VERB
alkej-1008	425	20	to	to	ADP
alkej-1008	425	21	as	as	ADP
alkej-1008	425	22	the	the	DET
alkej-1008	425	23	first	first	ADJ
alkej-1008	425	24	developmental	developmental	ADJ
alkej-1008	425	25	stage	stage	NOUN
alkej-1008	425	26	.	.	PUNCT
alkej-1008	426	1	subsequently	subsequently	ADV
alkej-1008	426	2	,	,	PUNCT
alkej-1008	426	3	the	the	DET
alkej-1008	426	4	second	second	ADJ
alkej-1008	426	5	developmental	developmental	ADJ
alkej-1008	426	6	stage	stage	NOUN
alkej-1008	426	7	involved	involve	VERB
alkej-1008	426	8	integrating	integrate	VERB
alkej-1008	426	9	unsupervised	unsupervised	ADJ
alkej-1008	426	10	learning	learning	NOUN
alkej-1008	426	11	,	,	PUNCT
alkej-1008	426	12	specifically	specifically	ADV
alkej-1008	426	13	k	k	X
alkej-1008	426	14	-	-	PUNCT
alkej-1008	426	15	means	mean	NOUN
alkej-1008	426	16	,	,	PUNCT
alkej-1008	426	17	with	with	SCONJ
alkej-1008	426	18	the	the	DET
alkej-1008	426	19	genetic	genetic	ADJ
alkej-1008	426	20	algorithm	algorithm	NOUN
alkej-1008	426	21	to	to	PART
alkej-1008	426	22	divide	divide	VERB
alkej-1008	426	23	the	the	DET
alkej-1008	426	24	dataset	dataset	NOUN
alkej-1008	426	25	into	into	ADP
alkej-1008	426	26	clusters	cluster	NOUN
alkej-1008	426	27	.	.	PUNCT
alkej-1008	427	1	within	within	ADP
alkej-1008	427	2	each	each	DET
alkej-1008	427	3	cluster	cluster	NOUN
alkej-1008	427	4	,	,	PUNCT
alkej-1008	427	5	a	a	DET
alkej-1008	427	6	set	set	NOUN
alkej-1008	427	7	of	of	ADP
alkej-1008	427	8	influential	influential	ADJ
alkej-1008	427	9	attributes	attribute	NOUN
alkej-1008	427	10	specific	specific	ADJ
alkej-1008	427	11	to	to	ADP
alkej-1008	427	12	that	that	DET
alkej-1008	427	13	cluster	cluster	NOUN
alkej-1008	427	14	was	be	AUX
alkej-1008	427	15	identified	identify	VERB
alkej-1008	427	16	to	to	PART
alkej-1008	427	17	facilitate	facilitate	VERB
alkej-1008	427	18	and	and	CCONJ
alkej-1008	427	19	enhance	enhance	VERB
alkej-1008	427	20	the	the	DET
alkej-1008	427	21	speed	speed	NOUN
alkej-1008	427	22	and	and	CCONJ
alkej-1008	427	23	efficiency	efficiency	NOUN
alkej-1008	427	24	of	of	ADP
alkej-1008	427	25	the	the	DET
alkej-1008	427	26	classifier	classifier	NOUN
alkej-1008	427	27	in	in	ADP
alkej-1008	427	28	detecting	detect	VERB
alkej-1008	427	29	phishing	phishe	VERB
alkej-1008	427	30	.	.	PUNCT
alkej-1008	428	1	this	this	DET
alkej-1008	428	2	improvement	improvement	NOUN
alkej-1008	428	3	was	be	AUX
alkej-1008	428	4	evident	evident	ADJ
alkej-1008	428	5	in	in	ADP
alkej-1008	428	6	most	most	ADJ
alkej-1008	428	7	clusters	cluster	NOUN
alkej-1008	428	8	,	,	PUNCT
alkej-1008	428	9	with	with	ADP
alkej-1008	428	10	advancements	advancement	NOUN
alkej-1008	428	11	in	in	ADP
alkej-1008	428	12	accuracy	accuracy	NOUN
alkej-1008	428	13	,	,	PUNCT
alkej-1008	428	14	f1	f1	NOUN
alkej-1008	428	15	-	-	PUNCT
alkej-1008	428	16	score	score	NOUN
alkej-1008	428	17	and	and	CCONJ
alkej-1008	428	18	precision	precision	NOUN
alkej-1008	428	19	compared	compare	VERB
alkej-1008	428	20	with	with	ADP
alkej-1008	428	21	classifiers	classifier	NOUN
alkej-1008	428	22	ali	ali	PROPN
alkej-1008	428	23	raheem	raheem	PROPN
alkej-1008	428	24	al	al	PROPN
alkej-1008	428	25	-	-	PROPN
alkej-1008	428	26	hafiz	hafiz	PROPN
alkej-1008	428	27	al	al	PROPN
alkej-1008	428	28	-	-	PUNCT
alkej-1008	428	29	khwarizmi	khwarizmi	PROPN
alkej-1008	428	30	engineering	engineering	NOUN
alkej-1008	428	31	journal	journal	PROPN
alkej-1008	428	32	,	,	PUNCT
alkej-1008	428	33	vol	vol	NOUN
alkej-1008	428	34	.	.	PROPN
alkej-1008	428	35	21	21	NUM
alkej-1008	428	36	,	,	PUNCT
alkej-1008	428	37	no.2	no.2	PROPN
alkej-1008	428	38	,	,	PUNCT
alkej-1008	428	39	pp	pp	ADJ
alkej-1008	428	40	.	.	PUNCT
alkej-1008	429	1	117	117	NUM
alkej-1008	429	2	-	-	SYM
alkej-1008	429	3	135	135	NUM
alkej-1008	429	4	(	(	PUNCT
alkej-1008	429	5	2025	2025	NUM
alkej-1008	429	6	)	)	PUNCT
alkej-1008	429	7	132	132	NUM
alkej-1008	429	8	that	that	PRON
alkej-1008	429	9	only	only	ADV
alkej-1008	429	10	used	use	VERB
alkej-1008	429	11	the	the	DET
alkej-1008	429	12	genetic	genetic	ADJ
alkej-1008	429	13	algorithm	algorithm	NOUN
alkej-1008	429	14	without	without	SCONJ
alkej-1008	429	15	kmeans.this	kmeans.this	DET
alkej-1008	429	16	model	model	NOUN
alkej-1008	429	17	was	be	AUX
alkej-1008	429	18	named	name	VERB
alkej-1008	429	19	k	k	PROPN
alkej-1008	429	20	-	-	PUNCT
alkej-1008	429	21	gen	gen	PROPN
alkej-1008	429	22	.	.	PUNCT
alkej-1008	430	1	the	the	DET
alkej-1008	430	2	third	third	ADJ
alkej-1008	430	3	developmental	developmental	ADJ
alkej-1008	430	4	stage	stage	NOUN
alkej-1008	430	5	introduced	introduce	VERB
alkej-1008	430	6	the	the	DET
alkej-1008	430	7	proposed	propose	VERB
alkej-1008	430	8	model	model	NOUN
alkej-1008	430	9	,	,	PUNCT
alkej-1008	430	10	namely	namely	ADV
alkej-1008	430	11	k	k	PROPN
alkej-1008	430	12	-	-	PUNCT
alkej-1008	430	13	gen	gen	ADJ
alkej-1008	430	14	phish	phish	NOUN
alkej-1008	430	15	guard	guard	NOUN
alkej-1008	430	16	,	,	PUNCT
alkej-1008	430	17	which	which	PRON
alkej-1008	430	18	outperformed	outperform	VERB
alkej-1008	430	19	all	all	DET
alkej-1008	430	20	benchmark	benchmark	NOUN
alkej-1008	430	21	models	model	NOUN
alkej-1008	430	22	.	.	PUNCT
alkej-1008	431	1	it	it	PRON
alkej-1008	431	2	achieved	achieve	VERB
alkej-1008	431	3	an	an	DET
alkej-1008	431	4	accuracy	accuracy	NOUN
alkej-1008	431	5	rate	rate	NOUN
alkej-1008	431	6	of	of	ADP
alkej-1008	431	7	99	99	NUM
alkej-1008	431	8	%	%	NOUN
alkej-1008	431	9	,	,	PUNCT
alkej-1008	431	10	demonstrating	demonstrate	VERB
alkej-1008	431	11	superior	superior	ADJ
alkej-1008	431	12	performance	performance	NOUN
alkej-1008	431	13	compared	compare	VERB
alkej-1008	431	14	with	with	ADP
alkej-1008	431	15	all	all	DET
alkej-1008	431	16	previous	previous	ADJ
alkej-1008	431	17	models	model	NOUN
alkej-1008	431	18	.	.	PUNCT
alkej-1008	432	1	a	a	DET
alkej-1008	432	2	second	second	ADJ
alkej-1008	432	3	comparison	comparison	NOUN
alkej-1008	432	4	was	be	AUX
alkej-1008	432	5	made	make	VERB
alkej-1008	432	6	between	between	ADP
alkej-1008	432	7	the	the	DET
alkej-1008	432	8	proposed	proposed	ADJ
alkej-1008	432	9	k	k	PROPN
alkej-1008	432	10	-	-	PUNCT
alkej-1008	432	11	gen	gen	ADJ
alkej-1008	432	12	phish	phish	NOUN
alkej-1008	432	13	guard	guard	NOUN
alkej-1008	432	14	model	model	NOUN
alkej-1008	432	15	and	and	CCONJ
alkej-1008	432	16	recent	recent	ADJ
alkej-1008	432	17	studies	study	NOUN
alkej-1008	432	18	on	on	ADP
alkej-1008	432	19	phishing	phishe	VERB
alkej-1008	432	20	site	site	NOUN
alkej-1008	432	21	detection	detection	NOUN
alkej-1008	432	22	that	that	PRON
alkej-1008	432	23	used	use	VERB
alkej-1008	432	24	different	different	ADJ
alkej-1008	432	25	feature	feature	NOUN
alkej-1008	432	26	selection	selection	NOUN
alkej-1008	432	27	methods	method	NOUN
alkej-1008	432	28	and	and	CCONJ
alkej-1008	432	29	classifiers	classifier	NOUN
alkej-1008	432	30	but	but	CCONJ
alkej-1008	432	31	were	be	AUX
alkej-1008	432	32	based	base	VERB
alkej-1008	432	33	on	on	ADP
alkej-1008	432	34	the	the	DET
alkej-1008	432	35	same	same	ADJ
alkej-1008	432	36	dataset	dataset	NOUN
alkej-1008	432	37	.	.	PUNCT
alkej-1008	433	1	the	the	DET
alkej-1008	433	2	proposed	propose	VERB
alkej-1008	433	3	model	model	NOUN
alkej-1008	433	4	consistently	consistently	ADV
alkej-1008	433	5	outperformed	outperform	VERB
alkej-1008	433	6	all	all	DET
alkej-1008	433	7	models	model	NOUN
alkej-1008	433	8	mentioned	mention	VERB
alkej-1008	433	9	in	in	ADP
alkej-1008	433	10	the	the	DET
alkej-1008	433	11	earlier	early	ADJ
alkej-1008	433	12	studies	study	NOUN
alkej-1008	433	13	.	.	PUNCT
alkej-1008	434	1	in	in	ADP
alkej-1008	434	2	the	the	DET
alkej-1008	434	3	model	model	NOUN
alkej-1008	434	4	,	,	PUNCT
alkej-1008	434	5	the	the	DET
alkej-1008	434	6	dataset	dataset	NOUN
alkej-1008	434	7	was	be	AUX
alkej-1008	434	8	divided	divide	VERB
alkej-1008	434	9	into	into	ADP
alkej-1008	434	10	a	a	DET
alkej-1008	434	11	7:3	7:3	NUM
alkej-1008	434	12	ratio	ratio	NOUN
alkej-1008	434	13	,	,	PUNCT
alkej-1008	434	14	with	with	ADP
alkej-1008	434	15	70	70	NUM
alkej-1008	434	16	%	%	NOUN
alkej-1008	434	17	allocated	allocate	VERB
alkej-1008	434	18	for	for	ADP
alkej-1008	434	19	training	training	NOUN
alkej-1008	434	20	and	and	CCONJ
alkej-1008	434	21	30	30	NUM
alkej-1008	434	22	%	%	NOUN
alkej-1008	434	23	for	for	ADP
alkej-1008	434	24	testing	testing	NOUN
alkej-1008	434	25	,	,	PUNCT
alkej-1008	434	26	ensuring	ensure	VERB
alkej-1008	434	27	a	a	DET
alkej-1008	434	28	robust	robust	ADJ
alkej-1008	434	29	evaluation	evaluation	NOUN
alkej-1008	434	30	process	process	NOUN
alkej-1008	434	31	.	.	PUNCT
alkej-1008	435	1	this	this	DET
alkej-1008	435	2	approach	approach	NOUN
alkej-1008	435	3	demonstrated	demonstrate	VERB
alkej-1008	435	4	a	a	DET
alkej-1008	435	5	stronger	strong	ADJ
alkej-1008	435	6	ability	ability	NOUN
alkej-1008	435	7	to	to	PART
alkej-1008	435	8	detect	detect	VERB
alkej-1008	435	9	phishing	phishe	VERB
alkej-1008	435	10	whilst	whilst	SCONJ
alkej-1008	435	11	providing	provide	VERB
alkej-1008	435	12	a	a	DET
alkej-1008	435	13	scalable	scalable	ADJ
alkej-1008	435	14	solution	solution	NOUN
alkej-1008	435	15	to	to	ADP
alkej-1008	435	16	various	various	ADJ
alkej-1008	435	17	real	real	ADJ
alkej-1008	435	18	-	-	PUNCT
alkej-1008	435	19	world	world	NOUN
alkej-1008	435	20	cybersecurity	cybersecurity	NOUN
alkej-1008	435	21	challenges	challenge	NOUN
alkej-1008	435	22	.	.	PUNCT
alkej-1008	436	1	in	in	ADP
alkej-1008	436	2	the	the	DET
alkej-1008	436	3	future	future	NOUN
alkej-1008	436	4	,	,	PUNCT
alkej-1008	436	5	this	this	DET
alkej-1008	436	6	model	model	NOUN
alkej-1008	436	7	could	could	AUX
alkej-1008	436	8	be	be	AUX
alkej-1008	436	9	applied	apply	VERB
alkej-1008	436	10	to	to	ADP
alkej-1008	436	11	other	other	ADJ
alkej-1008	436	12	types	type	NOUN
alkej-1008	436	13	of	of	ADP
alkej-1008	436	14	cyber	cyber	NOUN
alkej-1008	436	15	threats	threat	NOUN
alkej-1008	436	16	or	or	CCONJ
alkej-1008	436	17	adapted	adapt	VERB
alkej-1008	436	18	to	to	PART
alkej-1008	436	19	counter	counter	VERB
alkej-1008	436	20	emerging	emerge	VERB
alkej-1008	436	21	phishing	phishe	VERB
alkej-1008	436	22	techniques	technique	NOUN
alkej-1008	436	23	,	,	PUNCT
alkej-1008	436	24	further	far	ADV
alkej-1008	436	25	enhancing	enhance	VERB
alkej-1008	436	26	its	its	PRON
alkej-1008	436	27	role	role	NOUN
alkej-1008	436	28	in	in	ADP
alkej-1008	436	29	mitigating	mitigate	VERB
alkej-1008	436	30	cybersecurity	cybersecurity	NOUN
alkej-1008	436	31	risks	risk	NOUN
alkej-1008	436	32	and	and	CCONJ
alkej-1008	436	33	addressing	address	VERB
alkej-1008	436	34	additional	additional	ADJ
alkej-1008	436	35	aspects	aspect	NOUN
alkej-1008	436	36	of	of	ADP
alkej-1008	436	37	phishing	phishe	VERB
alkej-1008	436	38	defense	defense	NOUN
alkej-1008	436	39	.	.	PUNCT
alkej-1008	437	1	abbreviations	abbreviation	NOUN
alkej-1008	437	2	acc	acc	PROPN
alkej-1008	437	3	accuracy	accuracy	PROPN
alkej-1008	437	4	adaboost	adaboost	ADJ
alkej-1008	437	5	adaptive	adaptive	ADJ
alkej-1008	437	6	boosting	boost	VERB
alkej-1008	437	7	ann	ann	PROPN
alkej-1008	437	8	artificial	artificial	ADJ
alkej-1008	437	9	neural	neural	ADJ
alkej-1008	437	10	network	network	NOUN
alkej-1008	437	11	chisquare	chisquare	VERB
alkej-1008	437	12	a	a	DET
alkej-1008	437	13	chi	chi	ADJ
alkej-1008	437	14	-	-	PUNCT
alkej-1008	437	15	square	square	ADJ
alkej-1008	437	16	statistic	statistic	NOUN
alkej-1008	437	17	cnn	cnn	PROPN
alkej-1008	437	18	convolutional	convolutional	ADJ
alkej-1008	437	19	neural	neural	ADJ
alkej-1008	437	20	network	network	NOUN
alkej-1008	437	21	dl	dl	PROPN
alkej-1008	437	22	deep	deep	ADJ
alkej-1008	437	23	learning	learn	VERB
alkej-1008	438	1	dnn	dnn	PROPN
alkej-1008	438	2	deep	deep	ADJ
alkej-1008	438	3	neural	neural	ADJ
alkej-1008	438	4	networks	network	NOUN
alkej-1008	438	5	dt	dt	NOUN
alkej-1008	438	6	decision	decision	NOUN
alkej-1008	438	7	tree	tree	NOUN
alkej-1008	438	8	fn	fn	VERB
alkej-1008	438	9	false	false	ADJ
alkej-1008	438	10	negative	negative	ADJ
alkej-1008	438	11	fp	fp	PRON
alkej-1008	438	12	false	false	ADJ
alkej-1008	438	13	positive	positive	ADJ
alkej-1008	438	14	ig	ig	PROPN
alkej-1008	438	15	information	information	NOUN
alkej-1008	438	16	gain	gain	VERB
alkej-1008	438	17	ml	ml	ADP
alkej-1008	438	18	machine	machine	NOUN
alkej-1008	438	19	learning	learn	VERB
alkej-1008	438	20	nb	nb	INTJ
alkej-1008	438	21	nave	nave	PROPN
alkej-1008	438	22	bayesian	bayesian	NOUN
alkej-1008	438	23	p	p	PROPN
alkej-1008	438	24	precision	precision	NOUN
alkej-1008	438	25	pca	pca	PROPN
alkej-1008	438	26	principal	principal	NOUN
alkej-1008	438	27	component	component	NOUN
alkej-1008	438	28	analysis	analysis	NOUN
alkej-1008	438	29	r	r	NOUN
alkej-1008	438	30	recall	recall	NOUN
alkej-1008	438	31	rf	rf	VERB
alkej-1008	438	32	random	random	ADJ
alkej-1008	438	33	forest	forest	NOUN
alkej-1008	438	34	rfe	rfe	NOUN
alkej-1008	438	35	recursive	recursive	ADJ
alkej-1008	438	36	feature	feature	NOUN
alkej-1008	438	37	elimination	elimination	NOUN
alkej-1008	438	38	roc	roc	PROPN
alkej-1008	438	39	receiver	receiver	NOUN
alkej-1008	438	40	operating	operate	VERB
alkej-1008	438	41	characteristic	characteristic	ADJ
alkej-1008	438	42	svm	svm	NOUN
alkej-1008	438	43	support	support	NOUN
alkej-1008	438	44	vector	vector	NOUN
alkej-1008	438	45	machine	machine	NOUN
alkej-1008	438	46	tn	tn	PROPN
alkej-1008	438	47	true	true	ADJ
alkej-1008	438	48	negative	negative	ADJ
alkej-1008	438	49	tp	tp	ADP
alkej-1008	438	50	true	true	ADJ
alkej-1008	438	51	positive	positive	ADJ
alkej-1008	438	52	url	url	NOUN
alkej-1008	438	53	uniform	uniform	NOUN
alkej-1008	438	54	resource	resource	NOUN
alkej-1008	438	55	locator	locator	PROPN
alkej-1008	438	56	xgboost	xgboost	X
alkej-1008	439	1	extreme	extreme	ADJ
alkej-1008	439	2	gradient	gradient	NOUN
alkej-1008	439	3	boosting	boost	VERB
alkej-1008	439	4	references	reference	NOUN
alkej-1008	439	5	[	[	X
alkej-1008	439	6	1	1	NUM
alkej-1008	439	7	]	]	PUNCT
alkej-1008	439	8	m.	m.	PROPN
alkej-1008	439	9	s.	s.	PROPN
alkej-1008	439	10	bakken	bakken	PROPN
alkej-1008	439	11	,	,	PUNCT
alkej-1008	439	12	"	"	PUNCT
alkej-1008	439	13	webpage	webpage	NOUN
alkej-1008	439	14	fingerprinting	fingerprinting	NOUN
alkej-1008	439	15	using	use	VERB
alkej-1008	439	16	infrastructure	infrastructure	NOUN
alkej-1008	439	17	-	-	PUNCT
alkej-1008	439	18	based	base	VERB
alkej-1008	439	19	features	feature	NOUN
alkej-1008	439	20	,	,	PUNCT
alkej-1008	439	21	"	"	PUNCT
alkej-1008	439	22	ntnu	ntnu	ADJ
alkej-1008	439	23	,	,	PUNCT
alkej-1008	439	24	2023	2023	NUM
alkej-1008	439	25	.	.	PUNCT
alkej-1008	440	1	[	[	X
alkej-1008	440	2	2	2	NUM
alkej-1008	440	3	]	]	PUNCT
alkej-1008	440	4	p.	p.	NOUN
alkej-1008	440	5	patel	patel	PROPN
alkej-1008	440	6	,	,	PUNCT
alkej-1008	440	7	d.	d.	PROPN
alkej-1008	440	8	m.	m.	PROPN
alkej-1008	440	9	sarno	sarno	PROPN
alkej-1008	440	10	,	,	PUNCT
alkej-1008	440	11	j.	j.	PROPN
alkej-1008	440	12	e.	e.	PROPN
alkej-1008	440	13	lewis	lewis	PROPN
alkej-1008	440	14	,	,	PUNCT
alkej-1008	440	15	m.	m.	NOUN
alkej-1008	440	16	shoss	shoss	PROPN
alkej-1008	440	17	,	,	PUNCT
alkej-1008	440	18	m.	m.	PROPN
alkej-1008	440	19	b.	b.	PROPN
alkej-1008	440	20	neider	neider	NOUN
alkej-1008	440	21	,	,	PUNCT
alkej-1008	440	22	and	and	CCONJ
alkej-1008	440	23	c.	c.	PROPN
alkej-1008	440	24	j.	j.	PROPN
alkej-1008	440	25	bohil	bohil	PROPN
alkej-1008	440	26	,	,	PUNCT
alkej-1008	440	27	"	"	PUNCT
alkej-1008	440	28	perceptual	perceptual	ADJ
alkej-1008	440	29	representation	representation	NOUN
alkej-1008	440	30	of	of	ADP
alkej-1008	440	31	spam	spam	NOUN
alkej-1008	440	32	and	and	CCONJ
alkej-1008	440	33	phishing	phishe	VERB
alkej-1008	440	34	emails	email	NOUN
alkej-1008	440	35	,	,	PUNCT
alkej-1008	440	36	"	"	PUNCT
alkej-1008	440	37	applied	apply	VERB
alkej-1008	440	38	cognitive	cognitive	ADJ
alkej-1008	440	39	psychology	psychology	NOUN
alkej-1008	440	40	,	,	PUNCT
alkej-1008	440	41	vol	vol	NOUN
alkej-1008	440	42	.	.	PROPN
alkej-1008	441	1	33	33	NUM
alkej-1008	441	2	,	,	PUNCT
alkej-1008	441	3	no	no	INTJ
alkej-1008	441	4	.	.	NOUN
alkej-1008	441	5	6	6	NUM
alkej-1008	441	6	,	,	PUNCT
alkej-1008	441	7	pp	pp	ADJ
alkej-1008	441	8	.	.	PUNCT
alkej-1008	442	1	1296	1296	NUM
alkej-1008	442	2	-	-	SYM
alkej-1008	442	3	1304	1304	NUM
alkej-1008	442	4	,	,	PUNCT
alkej-1008	442	5	2019	2019	NUM
alkej-1008	442	6	.	.	PUNCT
alkej-1008	443	1	[	[	X
alkej-1008	443	2	3	3	X
alkej-1008	443	3	]	]	PUNCT
alkej-1008	443	4	j.	j.	PROPN
alkej-1008	443	5	a.	a.	PROPN
alkej-1008	443	6	chaudhry	chaudhry	PROPN
alkej-1008	443	7	,	,	PUNCT
alkej-1008	443	8	s.	s.	PROPN
alkej-1008	443	9	a.	a.	PROPN
alkej-1008	443	10	chaudhry	chaudhry	PROPN
alkej-1008	443	11	,	,	PUNCT
alkej-1008	443	12	and	and	CCONJ
alkej-1008	443	13	r.	r.	PROPN
alkej-1008	443	14	g.	g.	PROPN
alkej-1008	443	15	rittenhouse	rittenhouse	PROPN
alkej-1008	443	16	,	,	PUNCT
alkej-1008	443	17	"	"	PUNCT
alkej-1008	443	18	phishing	phishe	VERB
alkej-1008	443	19	attacks	attack	NOUN
alkej-1008	443	20	and	and	CCONJ
alkej-1008	443	21	defenses	defense	NOUN
alkej-1008	443	22	,	,	PUNCT
alkej-1008	443	23	"	"	PUNCT
alkej-1008	443	24	international	international	ADJ
alkej-1008	443	25	journal	journal	NOUN
alkej-1008	443	26	of	of	ADP
alkej-1008	443	27	security	security	NOUN
alkej-1008	443	28	and	and	CCONJ
alkej-1008	443	29	its	its	PRON
alkej-1008	443	30	applications	application	NOUN
alkej-1008	443	31	,	,	PUNCT
alkej-1008	443	32	vol	vol	NOUN
alkej-1008	443	33	.	.	PROPN
alkej-1008	443	34	10	10	NUM
alkej-1008	443	35	,	,	PUNCT
alkej-1008	443	36	no	no	INTJ
alkej-1008	443	37	.	.	NOUN
alkej-1008	443	38	1	1	NUM
alkej-1008	443	39	,	,	PUNCT
alkej-1008	443	40	pp	pp	ADJ
alkej-1008	443	41	.	.	PUNCT
alkej-1008	444	1	247	247	NUM
alkej-1008	444	2	-	-	SYM
alkej-1008	444	3	256	256	NUM
alkej-1008	444	4	,	,	PUNCT
alkej-1008	444	5	2016	2016	NUM
alkej-1008	444	6	.	.	PUNCT
alkej-1008	445	1	[	[	X
alkej-1008	445	2	4	4	X
alkej-1008	445	3	]	]	PUNCT
alkej-1008	445	4	m.	m.	NOUN
alkej-1008	445	5	a.	a.	NOUN
alkej-1008	445	6	chargo	chargo	PROPN
alkej-1008	445	7	,	,	PUNCT
alkej-1008	445	8	"	"	PUNCT
alkej-1008	445	9	you	you	PRON
alkej-1008	445	10	've	have	AUX
alkej-1008	445	11	been	be	AUX
alkej-1008	445	12	hacked	hack	VERB
alkej-1008	445	13	:	:	PUNCT
alkej-1008	445	14	how	how	SCONJ
alkej-1008	445	15	to	to	PART
alkej-1008	445	16	better	well	ADV
alkej-1008	445	17	incentivize	incentivize	VERB
alkej-1008	445	18	corporations	corporation	NOUN
alkej-1008	445	19	to	to	PART
alkej-1008	445	20	protect	protect	VERB
alkej-1008	445	21	consumers	consumer	NOUN
alkej-1008	445	22	'	'	PART
alkej-1008	445	23	data	datum	NOUN
alkej-1008	445	24	,	,	PUNCT
alkej-1008	445	25	"	"	PUNCT
alkej-1008	445	26	transactions	transaction	NOUN
alkej-1008	445	27	:	:	PUNCT
alkej-1008	445	28	the	the	DET
alkej-1008	445	29	tennessee	tennessee	PROPN
alkej-1008	445	30	journal	journal	PROPN
alkej-1008	445	31	of	of	ADP
alkej-1008	445	32	business	business	NOUN
alkej-1008	445	33	law	law	NOUN
alkej-1008	445	34	,	,	PUNCT
alkej-1008	445	35	vol	vol	NOUN
alkej-1008	445	36	.	.	PROPN
alkej-1008	445	37	20	20	NUM
alkej-1008	445	38	,	,	PUNCT
alkej-1008	445	39	pp	pp	ADJ
alkej-1008	445	40	.	.	PUNCT
alkej-1008	446	1	115	115	NUM
alkej-1008	446	2	-	-	SYM
alkej-1008	446	3	143	143	NUM
alkej-1008	446	4	,	,	PUNCT
alkej-1008	446	5	2018	2018	NUM
alkej-1008	446	6	.	.	PUNCT
alkej-1008	447	1	[	[	X
alkej-1008	447	2	5	5	X
alkej-1008	447	3	]	]	PUNCT
alkej-1008	447	4	g.	g.	PROPN
alkej-1008	447	5	ho	ho	PROPN
alkej-1008	447	6	et	et	PROPN
alkej-1008	447	7	al	al	PROPN
alkej-1008	447	8	.	.	PROPN
alkej-1008	447	9	,	,	PUNCT
alkej-1008	447	10	"	"	PUNCT
alkej-1008	447	11	understanding	understand	VERB
alkej-1008	447	12	the	the	DET
alkej-1008	447	13	efficacy	efficacy	NOUN
alkej-1008	447	14	of	of	ADP
alkej-1008	447	15	phishing	phishe	VERB
alkej-1008	447	16	training	training	NOUN
alkej-1008	447	17	in	in	ADP
alkej-1008	447	18	practice	practice	NOUN
alkej-1008	447	19	,	,	PUNCT
alkej-1008	447	20	"	"	PUNCT
alkej-1008	447	21	in	in	ADP
alkej-1008	447	22	2025	2025	NUM
alkej-1008	447	23	ieee	ieee	NOUN
alkej-1008	447	24	symposium	symposium	NOUN
alkej-1008	447	25	on	on	ADP
alkej-1008	447	26	security	security	NOUN
alkej-1008	447	27	and	and	CCONJ
alkej-1008	447	28	privacy	privacy	NOUN
alkej-1008	447	29	(	(	PUNCT
alkej-1008	447	30	sp	sp	NOUN
alkej-1008	447	31	)	)	PUNCT
alkej-1008	447	32	,	,	PUNCT
alkej-1008	447	33	2024	2024	NUM
alkej-1008	447	34	:	:	PUNCT
alkej-1008	447	35	ieee	ieee	NOUN
alkej-1008	447	36	computer	computer	NOUN
alkej-1008	447	37	society	society	NOUN
alkej-1008	447	38	,	,	PUNCT
alkej-1008	447	39	pp	pp	ADV
alkej-1008	447	40	.	.	PUNCT
alkej-1008	448	1	76	76	NUM
alkej-1008	448	2	-	-	SYM
alkej-1008	448	3	76	76	NUM
alkej-1008	448	4	.	.	PUNCT
alkej-1008	449	1	[	[	X
alkej-1008	449	2	6	6	NUM
alkej-1008	449	3	]	]	PUNCT
alkej-1008	449	4	r.	r.	PROPN
alkej-1008	449	5	a.	a.	PROPN
alkej-1008	449	6	al	al	PROPN
alkej-1008	449	7	mudhafar	mudhafar	PROPN
alkej-1008	449	8	and	and	CCONJ
alkej-1008	449	9	n.	n.	PROPN
alkej-1008	449	10	k.	k.	PROPN
alkej-1008	450	1	el	el	PROPN
alkej-1008	450	2	abbadi	abbadi	PROPN
alkej-1008	450	3	,	,	PUNCT
alkej-1008	450	4	"	"	PUNCT
alkej-1008	450	5	image	image	NOUN
alkej-1008	450	6	noise	noise	NOUN
alkej-1008	450	7	detection	detection	NOUN
alkej-1008	450	8	and	and	CCONJ
alkej-1008	450	9	classification	classification	NOUN
alkej-1008	450	10	based	base	VERB
alkej-1008	450	11	on	on	ADP
alkej-1008	450	12	combination	combination	NOUN
alkej-1008	450	13	of	of	ADP
alkej-1008	450	14	deep	deep	ADJ
alkej-1008	450	15	wavelet	wavelet	NOUN
alkej-1008	450	16	and	and	CCONJ
alkej-1008	450	17	machine	machine	NOUN
alkej-1008	450	18	learning	learning	NOUN
alkej-1008	450	19	,	,	PUNCT
alkej-1008	450	20	"	"	PUNCT
alkej-1008	450	21	al	al	PROPN
alkej-1008	450	22	-	-	PUNCT
alkej-1008	450	23	salam	salam	PROPN
alkej-1008	450	24	journal	journal	PROPN
alkej-1008	450	25	for	for	ADP
alkej-1008	450	26	engineering	engineering	NOUN
alkej-1008	450	27	and	and	CCONJ
alkej-1008	450	28	technology	technology	NOUN
alkej-1008	450	29	,	,	PUNCT
alkej-1008	450	30	vol	vol	NOUN
alkej-1008	450	31	.	.	PROPN
alkej-1008	451	1	3	3	NUM
alkej-1008	451	2	,	,	PUNCT
alkej-1008	451	3	no	no	INTJ
alkej-1008	451	4	.	.	NOUN
alkej-1008	451	5	1	1	NUM
alkej-1008	451	6	,	,	PUNCT
alkej-1008	451	7	pp	pp	ADJ
alkej-1008	451	8	.	.	PUNCT
alkej-1008	452	1	23	23	NUM
alkej-1008	452	2	-	-	SYM
alkej-1008	452	3	36	36	NUM
alkej-1008	452	4	,	,	PUNCT
alkej-1008	452	5	2024	2024	NUM
alkej-1008	452	6	.	.	PUNCT
alkej-1008	453	1	[	[	X
alkej-1008	453	2	7	7	X
alkej-1008	453	3	]	]	PUNCT
alkej-1008	453	4	l.	l.	PROPN
alkej-1008	453	5	al	al	PROPN
alkej-1008	453	6	-	-	PUNCT
alkej-1008	453	7	shalabi	shalabi	PROPN
alkej-1008	453	8	and	and	CCONJ
alkej-1008	453	9	y.	y.	PROPN
alkej-1008	453	10	hasan	hasan	PROPN
alkej-1008	453	11	jazyah	jazyah	PROPN
alkej-1008	453	12	,	,	PUNCT
alkej-1008	453	13	"	"	PUNCT
alkej-1008	453	14	phishing	phishe	VERB
alkej-1008	453	15	detection	detection	NOUN
alkej-1008	453	16	using	use	VERB
alkej-1008	453	17	hybrid	hybrid	ADJ
alkej-1008	453	18	algorithm	algorithm	NOUN
alkej-1008	453	19	based	base	VERB
alkej-1008	453	20	on	on	ADP
alkej-1008	453	21	clustering	clustering	NOUN
alkej-1008	453	22	and	and	CCONJ
alkej-1008	453	23	machine	machine	NOUN
alkej-1008	453	24	learning	learning	NOUN
alkej-1008	453	25	,	,	PUNCT
alkej-1008	453	26	"	"	PUNCT
alkej-1008	453	27	international	international	ADJ
alkej-1008	453	28	journal	journal	NOUN
alkej-1008	453	29	of	of	ADP
alkej-1008	453	30	computing	computing	NOUN
alkej-1008	453	31	and	and	CCONJ
alkej-1008	453	32	digital	digital	ADJ
alkej-1008	453	33	systems	system	NOUN
alkej-1008	453	34	,	,	PUNCT
alkej-1008	453	35	vol	vol	NOUN
alkej-1008	453	36	.	.	PROPN
alkej-1008	453	37	15	15	NUM
alkej-1008	453	38	,	,	PUNCT
alkej-1008	453	39	no	no	INTJ
alkej-1008	453	40	.	.	NOUN
alkej-1008	453	41	1	1	NUM
alkej-1008	453	42	,	,	PUNCT
alkej-1008	453	43	pp	pp	ADJ
alkej-1008	453	44	.	.	PUNCT
alkej-1008	454	1	1	1	NUM
alkej-1008	454	2	-	-	SYM
alkej-1008	454	3	13	13	NUM
alkej-1008	454	4	,	,	PUNCT
alkej-1008	454	5	2024	2024	NUM
alkej-1008	454	6	.	.	PUNCT
alkej-1008	455	1	[	[	X
alkej-1008	455	2	8	8	NUM
alkej-1008	455	3	]	]	X
alkej-1008	455	4	g.	g.	NOUN
alkej-1008	455	5	sonowal	sonowal	PROPN
alkej-1008	455	6	and	and	CCONJ
alkej-1008	455	7	k.	k.	PROPN
alkej-1008	455	8	kuppusamy	kuppusamy	PROPN
alkej-1008	455	9	,	,	PUNCT
alkej-1008	455	10	"	"	PUNCT
alkej-1008	455	11	phidma	phidma	NOUN
alkej-1008	455	12	–	–	PUNCT
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alkej-1008	455	14	phishing	phishe	VERB
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alkej-1008	455	16	model	model	NOUN
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alkej-1008	455	18	multi	multi	ADJ
alkej-1008	455	19	-	-	ADJ
alkej-1008	455	20	filter	filter	ADJ
alkej-1008	455	21	approach	approach	NOUN
alkej-1008	455	22	,	,	PUNCT
alkej-1008	455	23	"	"	PUNCT
alkej-1008	455	24	journal	journal	NOUN
alkej-1008	455	25	of	of	ADP
alkej-1008	455	26	king	king	PROPN
alkej-1008	455	27	saud	saud	PROPN
alkej-1008	455	28	universitycomputer	universitycomputer	PROPN
alkej-1008	455	29	and	and	CCONJ
alkej-1008	455	30	information	information	NOUN
alkej-1008	455	31	sciences	science	NOUN
alkej-1008	455	32	,	,	PUNCT
alkej-1008	455	33	vol	vol	NOUN
alkej-1008	455	34	.	.	PROPN
alkej-1008	455	35	32	32	NUM
alkej-1008	455	36	,	,	PUNCT
alkej-1008	455	37	no	no	INTJ
alkej-1008	455	38	.	.	NOUN
alkej-1008	455	39	1	1	NUM
alkej-1008	455	40	,	,	PUNCT
alkej-1008	455	41	pp	pp	ADJ
alkej-1008	455	42	.	.	PUNCT
alkej-1008	456	1	99	99	NUM
alkej-1008	456	2	-	-	SYM
alkej-1008	456	3	112	112	NUM
alkej-1008	456	4	,	,	PUNCT
alkej-1008	456	5	2020	2020	NUM
alkej-1008	456	6	.	.	PUNCT
alkej-1008	457	1	[	[	X
alkej-1008	457	2	9	9	NUM
alkej-1008	457	3	]	]	PUNCT
alkej-1008	457	4	k.	k.	PROPN
alkej-1008	457	5	l.	l.	PROPN
alkej-1008	457	6	chiew	chiew	PROPN
alkej-1008	457	7	,	,	PUNCT
alkej-1008	457	8	c.	c.	PROPN
alkej-1008	457	9	l.	l.	PROPN
alkej-1008	457	10	tan	tan	PROPN
alkej-1008	457	11	,	,	PUNCT
alkej-1008	457	12	k.	k.	PROPN
alkej-1008	457	13	wong	wong	PROPN
alkej-1008	457	14	,	,	PUNCT
alkej-1008	457	15	k.	k.	PROPN
alkej-1008	457	16	s.	s.	PROPN
alkej-1008	457	17	yong	yong	PROPN
alkej-1008	457	18	,	,	PUNCT
alkej-1008	457	19	and	and	CCONJ
alkej-1008	457	20	w.	w.	PROPN
alkej-1008	457	21	k.	k.	PROPN
alkej-1008	457	22	tiong	tiong	PROPN
alkej-1008	457	23	,	,	PUNCT
alkej-1008	457	24	"	"	PUNCT
alkej-1008	457	25	a	a	DET
alkej-1008	457	26	new	new	ADJ
alkej-1008	457	27	hybrid	hybrid	ADJ
alkej-1008	457	28	ensemble	ensemble	ADJ
alkej-1008	457	29	feature	feature	NOUN
alkej-1008	457	30	selection	selection	NOUN
alkej-1008	457	31	framework	framework	NOUN
alkej-1008	457	32	for	for	ADP
alkej-1008	457	33	machine	machine	NOUN
alkej-1008	457	34	learning	learning	NOUN
alkej-1008	457	35	-	-	PUNCT
alkej-1008	457	36	based	base	VERB
alkej-1008	457	37	phishing	phishe	VERB
alkej-1008	457	38	detection	detection	NOUN
alkej-1008	457	39	system	system	NOUN
alkej-1008	457	40	,	,	PUNCT
alkej-1008	457	41	"	"	PUNCT
alkej-1008	457	42	information	information	NOUN
alkej-1008	457	43	sciences	science	NOUN
alkej-1008	457	44	,	,	PUNCT
alkej-1008	457	45	vol	vol	NOUN
alkej-1008	457	46	.	.	PROPN
alkej-1008	457	47	484	484	NUM
alkej-1008	457	48	,	,	PUNCT
alkej-1008	457	49	pp	pp	ADJ
alkej-1008	457	50	.	.	PUNCT
alkej-1008	458	1	153	153	NUM
alkej-1008	458	2	-	-	SYM
alkej-1008	458	3	166	166	NUM
alkej-1008	458	4	,	,	PUNCT
alkej-1008	458	5	2019	2019	NUM
alkej-1008	458	6	,	,	PUNCT
alkej-1008	458	7	doi	doi	NOUN
alkej-1008	458	8	:	:	PUNCT
alkej-1008	458	9	10.1016	10.1016	NUM
alkej-1008	458	10	/	/	SYM
alkej-1008	458	11	j.ins.2019.01.064	j.ins.2019.01.064	NOUN
alkej-1008	458	12	.	.	PUNCT
alkej-1008	459	1	[	[	X
alkej-1008	459	2	10	10	NUM
alkej-1008	459	3	]	]	X
alkej-1008	459	4	y.	y.	PROPN
alkej-1008	459	5	mourtaji	mourtaji	PROPN
alkej-1008	459	6	,	,	PUNCT
alkej-1008	459	7	m.	m.	NOUN
alkej-1008	459	8	bouhorma	bouhorma	PROPN
alkej-1008	459	9	,	,	PUNCT
alkej-1008	459	10	d.	d.	PROPN
alkej-1008	459	11	alghazzawi	alghazzawi	PROPN
alkej-1008	459	12	,	,	PUNCT
alkej-1008	459	13	g.	g.	PROPN
alkej-1008	459	14	aldabbagh	aldabbagh	PROPN
alkej-1008	459	15	,	,	PUNCT
alkej-1008	459	16	and	and	CCONJ
alkej-1008	459	17	a.	a.	NOUN
alkej-1008	459	18	alghamdi	alghamdi	NOUN
alkej-1008	459	19	,	,	PUNCT
alkej-1008	459	20	"	"	PUNCT
alkej-1008	459	21	hybrid	hybrid	ADJ
alkej-1008	459	22	rule‐based	rule‐base	VERB
alkej-1008	459	23	solution	solution	NOUN
alkej-1008	459	24	for	for	ADP
alkej-1008	459	25	phishing	phishe	VERB
alkej-1008	459	26	url	url	NOUN
alkej-1008	459	27	detection	detection	NOUN
alkej-1008	459	28	using	use	VERB
alkej-1008	459	29	convolutional	convolutional	ADJ
alkej-1008	459	30	neural	neural	ADJ
alkej-1008	459	31	network	network	NOUN
alkej-1008	459	32	,	,	PUNCT
alkej-1008	459	33	"	"	PUNCT
alkej-1008	459	34	wireless	wireless	ADJ
alkej-1008	459	35	communications	communication	NOUN
alkej-1008	459	36	and	and	CCONJ
alkej-1008	459	37	mobile	mobile	NOUN
alkej-1008	459	38	computing	computing	NOUN
alkej-1008	459	39	,	,	PUNCT
alkej-1008	459	40	vol	vol	NOUN
alkej-1008	459	41	.	.	PROPN
alkej-1008	459	42	2021	2021	NUM
alkej-1008	459	43	,	,	PUNCT
alkej-1008	459	44	p.	p.	NOUN
alkej-1008	459	45	24	24	NUM
alkej-1008	459	46	,	,	PUNCT
alkej-1008	459	47	2021	2021	NUM
alkej-1008	459	48	,	,	PUNCT
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alkej-1008	459	50	:	:	PUNCT
alkej-1008	459	51	10.1155/2021/8241104	10.1155/2021/8241104	NUM
alkej-1008	459	52	.	.	PUNCT
alkej-1008	460	1	[	[	X
alkej-1008	460	2	11	11	NUM
alkej-1008	460	3	]	]	PUNCT
alkej-1008	460	4	j.	j.	PROPN
alkej-1008	460	5	solanki	solanki	PROPN
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alkej-1008	460	7	r.	r.	PROPN
alkej-1008	460	8	g.	g.	PROPN
alkej-1008	460	9	vaishnav	vaishnav	PROPN
alkej-1008	460	10	,	,	PUNCT
alkej-1008	460	11	"	"	PUNCT
alkej-1008	460	12	website	website	NOUN
alkej-1008	460	13	phishing	phishe	VERB
alkej-1008	460	14	detection	detection	NOUN
alkej-1008	460	15	using	use	VERB
alkej-1008	460	16	heuristic	heuristic	ADJ
alkej-1008	460	17	based	base	VERB
alkej-1008	460	18	approach	approach	NOUN
alkej-1008	460	19	,	,	PUNCT
alkej-1008	460	20	"	"	PUNCT
alkej-1008	460	21	in	in	ADP
alkej-1008	460	22	proceedings	proceeding	NOUN
alkej-1008	460	23	of	of	ADP
alkej-1008	460	24	the	the	DET
alkej-1008	460	25	third	third	ADJ
alkej-1008	460	26	international	international	ADJ
alkej-1008	460	27	conference	conference	NOUN
alkej-1008	460	28	on	on	ADP
alkej-1008	460	29	advances	advance	NOUN
alkej-1008	460	30	in	in	ADP
alkej-1008	460	31	computing	computing	NOUN
alkej-1008	460	32	,	,	PUNCT
alkej-1008	460	33	electronics	electronic	NOUN
alkej-1008	460	34	and	and	CCONJ
alkej-1008	460	35	electrical	electrical	ADJ
alkej-1008	460	36	technology	technology	NOUN
alkej-1008	460	37	,	,	PUNCT
alkej-1008	460	38	2015	2015	NUM
alkej-1008	460	39	.	.	PUNCT
alkej-1008	461	1	[	[	X
alkej-1008	461	2	12	12	NUM
alkej-1008	461	3	]	]	PUNCT
alkej-1008	461	4	l.	l.	PROPN
alkej-1008	461	5	a.	a.	PROPN
alkej-1008	461	6	t.	t.	PROPN
alkej-1008	461	7	nguyen	nguyen	PROPN
alkej-1008	461	8	and	and	CCONJ
alkej-1008	461	9	h.	h.	PROPN
alkej-1008	461	10	k.	k.	PROPN
alkej-1008	461	11	nguyen	nguyen	PROPN
alkej-1008	461	12	,	,	PUNCT
alkej-1008	461	13	"	"	PUNCT
alkej-1008	461	14	developing	develop	VERB
alkej-1008	461	15	an	an	DET
alkej-1008	461	16	efficient	efficient	ADJ
alkej-1008	461	17	fuzzy	fuzzy	ADJ
alkej-1008	461	18	model	model	NOUN
alkej-1008	461	19	for	for	ADP
alkej-1008	461	20	phishing	phishe	VERB
alkej-1008	461	21	identification	identification	NOUN
alkej-1008	461	22	,	,	PUNCT
alkej-1008	461	23	"	"	PUNCT
alkej-1008	461	24	in	in	ADP
alkej-1008	461	25	2015	2015	NUM
alkej-1008	461	26	10th	10th	ADJ
alkej-1008	461	27	asian	asian	ADJ
alkej-1008	461	28	control	control	NOUN
alkej-1008	461	29	conference	conference	PROPN
alkej-1008	461	30	(	(	PUNCT
alkej-1008	461	31	ascc	ascc	NOUN
alkej-1008	461	32	)	)	PUNCT
alkej-1008	461	33	,	,	PUNCT
alkej-1008	461	34	2015	2015	NUM
alkej-1008	461	35	:	:	PUNCT
alkej-1008	461	36	ieee	ieee	NOUN
alkej-1008	461	37	,	,	PUNCT
alkej-1008	461	38	pp	pp	ADJ
alkej-1008	461	39	.	.	PUNCT
alkej-1008	462	1	1	1	NUM
alkej-1008	462	2	-	-	SYM
alkej-1008	462	3	6	6	NUM
alkej-1008	462	4	.	.	PUNCT
alkej-1008	463	1	[	[	X
alkej-1008	463	2	13	13	NUM
alkej-1008	463	3	]	]	X
alkej-1008	463	4	r.	r.	PROPN
alkej-1008	463	5	m.	m.	PROPN
alkej-1008	463	6	mohammad	mohammad	PROPN
alkej-1008	463	7	,	,	PUNCT
alkej-1008	463	8	f.	f.	PROPN
alkej-1008	463	9	thabtah	thabtah	PROPN
alkej-1008	463	10	,	,	PUNCT
alkej-1008	463	11	and	and	CCONJ
alkej-1008	463	12	l.	l.	PROPN
alkej-1008	463	13	mccluskey	mccluskey	PROPN
alkej-1008	463	14	,	,	PUNCT
alkej-1008	463	15	"	"	PUNCT
alkej-1008	463	16	predicting	predict	VERB
alkej-1008	463	17	phishing	phishe	VERB
alkej-1008	463	18	websites	website	NOUN
alkej-1008	463	19	based	base	VERB
alkej-1008	463	20	on	on	ADP
alkej-1008	463	21	self	self	NOUN
alkej-1008	463	22	-	-	PUNCT
alkej-1008	463	23	structuring	structure	VERB
alkej-1008	463	24	neural	neural	ADJ
alkej-1008	463	25	network	network	NOUN
alkej-1008	463	26	,	,	PUNCT
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alkej-1008	463	28	neural	neural	ADJ
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alkej-1008	463	30	and	and	CCONJ
alkej-1008	463	31	applications	application	NOUN
alkej-1008	463	32	,	,	PUNCT
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alkej-1008	463	34	.	.	PROPN
alkej-1008	463	35	25	25	NUM
alkej-1008	463	36	,	,	PUNCT
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alkej-1008	463	38	.	.	PUNCT
alkej-1008	463	39	443458	443458	NUM
alkej-1008	463	40	,	,	PUNCT
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alkej-1008	463	42	.	.	PUNCT
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alkej-1008	464	2	raheem	raheem	PROPN
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alkej-1008	464	5	hafiz	hafiz	PROPN
alkej-1008	464	6	al	al	PROPN
alkej-1008	464	7	-	-	PUNCT
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alkej-1008	464	10	journal	journal	PROPN
alkej-1008	464	11	,	,	PUNCT
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alkej-1008	464	13	.	.	PROPN
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alkej-1008	464	15	,	,	PUNCT
alkej-1008	464	16	no.2	no.2	PROPN
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alkej-1008	464	18	pp	pp	ADJ
alkej-1008	464	19	.	.	PUNCT
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alkej-1008	465	2	-	-	SYM
alkej-1008	465	3	135	135	NUM
alkej-1008	465	4	(	(	PUNCT
alkej-1008	465	5	2025	2025	NUM
alkej-1008	465	6	)	)	PUNCT
alkej-1008	466	1	133	133	NUM
alkej-1008	467	1	[	[	X
alkej-1008	467	2	14	14	NUM
alkej-1008	467	3	]	]	X
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alkej-1008	467	5	m.	m.	PROPN
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alkej-1008	467	8	f.	f.	PROPN
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alkej-1008	467	14	,	,	PUNCT
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alkej-1008	467	21	to	to	ADP
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alkej-1008	467	23	websites	website	NOUN
alkej-1008	467	24	using	use	VERB
alkej-1008	467	25	an	an	DET
alkej-1008	467	26	automated	automate	VERB
alkej-1008	467	27	technique	technique	NOUN
alkej-1008	467	28	,	,	PUNCT
alkej-1008	467	29	"	"	PUNCT
alkej-1008	467	30	in	in	ADP
alkej-1008	467	31	2012	2012	NUM
alkej-1008	467	32	international	international	ADJ
alkej-1008	467	33	conference	conference	NOUN
alkej-1008	467	34	for	for	ADP
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alkej-1008	467	36	technology	technology	NOUN
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alkej-1008	467	38	secured	secured	ADJ
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alkej-1008	467	40	,	,	PUNCT
alkej-1008	467	41	2012	2012	NUM
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alkej-1008	467	43	ieee	ieee	NOUN
alkej-1008	467	44	,	,	PUNCT
alkej-1008	467	45	pp	pp	ADJ
alkej-1008	467	46	.	.	PUNCT
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alkej-1008	468	2	-	-	SYM
alkej-1008	468	3	497	497	NUM
alkej-1008	468	4	.	.	PUNCT
alkej-1008	469	1	[	[	X
alkej-1008	469	2	15	15	NUM
alkej-1008	469	3	]	]	PUNCT
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alkej-1008	469	14	m.	m.	PROPN
alkej-1008	469	15	a.	a.	PROPN
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alkej-1008	469	18	"	"	PUNCT
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alkej-1008	469	20	:	:	PUNCT
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alkej-1008	469	23	-	-	ADJ
alkej-1008	469	24	layered	layered	ADJ
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alkej-1008	469	27	for	for	ADP
alkej-1008	469	28	optimal	optimal	ADJ
alkej-1008	469	29	phishing	phishe	VERB
alkej-1008	469	30	website	website	NOUN
alkej-1008	469	31	detection	detection	NOUN
alkej-1008	469	32	,	,	PUNCT
alkej-1008	469	33	"	"	PUNCT
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alkej-1008	469	35	preprint	preprint	VERB
alkej-1008	469	36	arxiv:2409.19825	arxiv:2409.19825	PROPN
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alkej-1008	470	3	]	]	PUNCT
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alkej-1008	470	8	s.	s.	PROPN
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alkej-1008	470	13	a	a	DET
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alkej-1008	470	22	and	and	CCONJ
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alkej-1008	470	31	"	"	PUNCT
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alkej-1008	470	36	,	,	PUNCT
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alkej-1008	470	38	.	.	PUNCT
alkej-1008	470	39	6276	6276	NUM
alkej-1008	470	40	-	-	SYM
alkej-1008	470	41	6291	6291	NUM
alkej-1008	470	42	,	,	PUNCT
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alkej-1008	470	44	.	.	PUNCT
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alkej-1008	471	2	17	17	NUM
alkej-1008	471	3	]	]	PUNCT
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alkej-1008	471	17	via	via	ADP
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alkej-1008	471	20	,	,	PUNCT
alkej-1008	471	21	"	"	PUNCT
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alkej-1008	471	23	journal	journal	NOUN
alkej-1008	471	24	of	of	ADP
alkej-1008	471	25	science	science	NOUN
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alkej-1008	471	28	.	.	PUNCT
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alkej-1008	471	30	-	-	SYM
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alkej-1008	471	32	,	,	PUNCT
alkej-1008	471	33	2023	2023	NUM
alkej-1008	471	34	.	.	PUNCT
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alkej-1008	472	2	18	18	NUM
alkej-1008	472	3	]	]	PUNCT
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alkej-1008	472	9	alkasassbeh	alkasassbeh	NOUN
alkej-1008	472	10	,	,	PUNCT
alkej-1008	472	11	"	"	PUNCT
alkej-1008	472	12	phishing	phishe	VERB
alkej-1008	472	13	detection	detection	NOUN
alkej-1008	472	14	approaches	approach	NOUN
alkej-1008	472	15	,	,	PUNCT
alkej-1008	472	16	"	"	PUNCT
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alkej-1008	472	28	(	(	PUNCT
alkej-1008	472	29	ictcs	ictcs	PROPN
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alkej-1008	472	31	,	,	PUNCT
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alkej-1008	472	37	:	:	PUNCT
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alkej-1008	473	1	1	1	NUM
alkej-1008	473	2	-	-	SYM
alkej-1008	473	3	6	6	NUM
alkej-1008	473	4	,	,	PUNCT
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alkej-1008	474	35	,	,	PUNCT
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alkej-1008	474	38	,	,	PUNCT
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alkej-1008	474	40	,	,	PUNCT
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alkej-1008	474	42	:	:	PUNCT
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alkej-1008	474	44	.	.	PUNCT
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alkej-1008	475	2	20	20	NUM
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alkej-1008	475	46	,	,	PUNCT
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alkej-1008	476	2	-	-	SYM
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alkej-1008	477	3	]	]	X
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alkej-1008	477	14	"	"	PUNCT
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alkej-1008	477	17	-	-	PUNCT
alkej-1008	477	18	detection	detection	NOUN
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alkej-1008	477	26	"	"	PUNCT
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alkej-1008	477	36	ijmdem	ijmdem	PROPN
alkej-1008	477	37	)	)	PUNCT
alkej-1008	477	38	,	,	PUNCT
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alkej-1008	477	45	1	1	NUM
alkej-1008	477	46	,	,	PUNCT
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alkej-1008	478	10	x.	x.	PROPN
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alkej-1008	478	21	phishing	phishe	VERB
alkej-1008	478	22	detection	detection	NOUN
alkej-1008	478	23	with	with	ADP
alkej-1008	478	24	recurrent	recurrent	ADJ
alkej-1008	478	25	convolutional	convolutional	ADJ
alkej-1008	478	26	neural	neural	ADJ
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alkej-1008	478	28	,	,	PUNCT
alkej-1008	478	29	"	"	PUNCT
alkej-1008	478	30	security	security	NOUN
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alkej-1008	478	32	communication	communication	NOUN
alkej-1008	478	33	networks	network	NOUN
alkej-1008	478	34	,	,	PUNCT
alkej-1008	478	35	vol	vol	NOUN
alkej-1008	478	36	.	.	PROPN
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alkej-1008	478	38	,	,	PUNCT
alkej-1008	478	39	p.	p.	NOUN
alkej-1008	478	40	15	15	NUM
alkej-1008	478	41	,	,	PUNCT
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alkej-1008	478	43	,	,	PUNCT
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alkej-1008	478	47	.	.	PUNCT
alkej-1008	479	1	[	[	X
alkej-1008	479	2	23	23	NUM
alkej-1008	479	3	]	]	PUNCT
alkej-1008	479	4	z.	z.	PROPN
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alkej-1008	479	6	,	,	PUNCT
alkej-1008	479	7	b.	b.	PROPN
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alkej-1008	479	22	design	design	NOUN
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alkej-1008	479	26	visual	visual	ADJ
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alkej-1008	479	33	of	of	ADP
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alkej-1008	479	35	,	,	PUNCT
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alkej-1008	479	37	.	.	PUNCT
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alkej-1008	480	2	-	-	SYM
alkej-1008	480	3	22	22	NUM
alkej-1008	480	4	,	,	PUNCT
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alkej-1008	480	6	.	.	PUNCT
alkej-1008	481	1	[	[	X
alkej-1008	481	2	24	24	NUM
alkej-1008	481	3	]	]	PUNCT
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alkej-1008	481	5	sheykhmousa	sheykhmousa	NOUN
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alkej-1008	481	10	h.	h.	PROPN
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alkej-1008	481	14	mohammadimanesh	mohammadimanesh	PROPN
alkej-1008	481	15	,	,	PUNCT
alkej-1008	481	16	p.	p.	PROPN
alkej-1008	481	17	ghamisi	ghamisi	PROPN
alkej-1008	481	18	,	,	PUNCT
alkej-1008	481	19	and	and	CCONJ
alkej-1008	481	20	s.	s.	PROPN
alkej-1008	481	21	homayouni	homayouni	PROPN
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alkej-1008	481	44	"	"	PUNCT
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alkej-1008	481	46	journal	journal	NOUN
alkej-1008	481	47	of	of	ADP
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alkej-1008	481	54	and	and	CCONJ
alkej-1008	481	55	remote	remote	ADJ
alkej-1008	481	56	sensing	sensing	NOUN
alkej-1008	481	57	,	,	PUNCT
alkej-1008	481	58	vol	vol	NOUN
alkej-1008	481	59	.	.	PROPN
alkej-1008	481	60	13	13	NUM
alkej-1008	481	61	,	,	PUNCT
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alkej-1008	481	63	.	.	PUNCT
alkej-1008	482	1	6308	6308	NUM
alkej-1008	482	2	-	-	SYM
alkej-1008	482	3	6325	6325	NUM
alkej-1008	482	4	,	,	PUNCT
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alkej-1008	482	6	.	.	PUNCT
alkej-1008	483	1	[	[	X
alkej-1008	483	2	25	25	NUM
alkej-1008	483	3	]	]	X
alkej-1008	483	4	s.	s.	PROPN
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alkej-1008	483	7	r.	r.	PROPN
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alkej-1008	483	11	"	"	PUNCT
alkej-1008	483	12	k	k	X
alkej-1008	483	13	-	-	PUNCT
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alkej-1008	483	30	,	,	PUNCT
alkej-1008	483	31	"	"	PUNCT
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alkej-1008	483	35	(	(	PUNCT
alkej-1008	483	36	jutif	jutif	PROPN
alkej-1008	483	37	)	)	PUNCT
alkej-1008	483	38	,	,	PUNCT
alkej-1008	483	39	vol	vol	NOUN
alkej-1008	483	40	.	.	PROPN
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alkej-1008	483	42	,	,	PUNCT
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alkej-1008	483	44	.	.	NOUN
alkej-1008	483	45	1	1	NUM
alkej-1008	483	46	,	,	PUNCT
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alkej-1008	484	2	-	-	SYM
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alkej-1008	484	4	,	,	PUNCT
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alkej-1008	485	2	26	26	NUM
alkej-1008	485	3	]	]	PUNCT
alkej-1008	485	4	s.	s.	PROPN
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alkej-1008	485	21	"	"	PUNCT
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alkej-1008	486	1	1	1	NUM
alkej-1008	486	2	-	-	SYM
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alkej-1008	486	4	.	.	PUNCT
alkej-1008	487	1	[	[	X
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alkej-1008	487	10	"	"	PUNCT
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alkej-1008	488	2	,	,	PUNCT
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alkej-1008	490	2	-	-	SYM
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alkej-1008	490	4	,	,	PUNCT
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alkej-1008	490	6	.	.	PUNCT
alkej-1008	491	1	[	[	X
alkej-1008	491	2	28	28	NUM
alkej-1008	491	3	]	]	X
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alkej-1008	491	31	,	,	PUNCT
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alkej-1008	491	35	,	,	PUNCT
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alkej-1008	491	37	.	.	PUNCT
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alkej-1008	492	3	]	]	PUNCT
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alkej-1008	492	36	,	,	PUNCT
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alkej-1008	492	43	,	,	PUNCT
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alkej-1008	492	45	.	.	PUNCT
alkej-1008	493	1	[	[	X
alkej-1008	493	2	30	30	NUM
alkej-1008	493	3	]	]	X
alkej-1008	493	4	d.	d.	PROPN
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alkej-1008	493	20	a	a	DET
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alkej-1008	493	31	,	,	PUNCT
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alkej-1008	493	34	2	2	NUM
alkej-1008	493	35	,	,	PUNCT
alkej-1008	493	36	pp	pp	ADJ
alkej-1008	493	37	.	.	PUNCT
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alkej-1008	493	39	-	-	SYM
alkej-1008	493	40	90	90	NUM
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alkej-1008	493	42	2021	2021	NUM
alkej-1008	493	43	.	.	PUNCT
alkej-1008	494	1	[	[	X
alkej-1008	494	2	31	31	NUM
alkej-1008	494	3	]	]	PUNCT
alkej-1008	494	4	a.	a.	PROPN
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alkej-1008	494	8	chakraborty	chakraborty	PROPN
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alkej-1008	494	10	"	"	PUNCT
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alkej-1008	494	12	vector	vector	NOUN
alkej-1008	494	13	machine	machine	NOUN
alkej-1008	494	14	in	in	ADP
alkej-1008	494	15	structural	structural	ADJ
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alkej-1008	494	17	analysis	analysis	NOUN
alkej-1008	494	18	:	:	PUNCT
alkej-1008	494	19	a	a	DET
alkej-1008	494	20	review	review	NOUN
alkej-1008	494	21	,	,	PUNCT
alkej-1008	494	22	"	"	PUNCT
alkej-1008	494	23	reliability	reliability	NOUN
alkej-1008	494	24	engineering	engineering	NOUN
alkej-1008	494	25	&	&	CCONJ
alkej-1008	494	26	system	system	NOUN
alkej-1008	494	27	safety	safety	NOUN
alkej-1008	494	28	,	,	PUNCT
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alkej-1008	494	30	.	.	NOUN
alkej-1008	494	31	233	233	NUM
alkej-1008	494	32	,	,	PUNCT
alkej-1008	494	33	p.	p.	NOUN
alkej-1008	494	34	109126	109126	NUM
alkej-1008	494	35	,	,	PUNCT
alkej-1008	494	36	2023	2023	NUM
alkej-1008	494	37	.	.	PUNCT
alkej-1008	495	1	[	[	X
alkej-1008	495	2	32	32	NUM
alkej-1008	495	3	]	]	PUNCT
alkej-1008	495	4	a.	a.	PROPN
alkej-1008	495	5	parmar	parmar	PROPN
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alkej-1008	495	11	v.	v.	ADP
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alkej-1008	495	16	review	review	NOUN
alkej-1008	495	17	on	on	ADP
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alkej-1008	495	19	forest	forest	NOUN
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alkej-1008	495	21	an	an	DET
alkej-1008	495	22	ensemble	ensemble	ADJ
alkej-1008	495	23	classifier	classifier	NOUN
alkej-1008	495	24	,	,	PUNCT
alkej-1008	495	25	"	"	PUNCT
alkej-1008	495	26	in	in	ADP
alkej-1008	495	27	international	international	ADJ
alkej-1008	495	28	conference	conference	NOUN
alkej-1008	495	29	on	on	ADP
alkej-1008	495	30	intelligent	intelligent	ADJ
alkej-1008	495	31	data	datum	NOUN
alkej-1008	495	32	communication	communication	NOUN
alkej-1008	495	33	technologies	technology	NOUN
alkej-1008	495	34	and	and	CCONJ
alkej-1008	495	35	internet	internet	NOUN
alkej-1008	495	36	of	of	ADP
alkej-1008	495	37	things	thing	NOUN
alkej-1008	495	38	(	(	PUNCT
alkej-1008	495	39	icici	icici	NOUN
alkej-1008	495	40	)	)	PUNCT
alkej-1008	495	41	2018	2018	NUM
alkej-1008	495	42	,	,	PUNCT
alkej-1008	495	43	2019	2019	NUM
alkej-1008	495	44	:	:	PUNCT
alkej-1008	495	45	springer	springer	NOUN
alkej-1008	495	46	,	,	PUNCT
alkej-1008	495	47	pp	pp	ADJ
alkej-1008	495	48	.	.	PUNCT
alkej-1008	496	1	758	758	NUM
alkej-1008	496	2	-	-	SYM
alkej-1008	496	3	763	763	NUM
alkej-1008	496	4	.	.	PUNCT
alkej-1008	497	1	[	[	X
alkej-1008	497	2	33	33	NUM
alkej-1008	497	3	]	]	X
alkej-1008	497	4	w.	w.	PROPN
alkej-1008	497	5	wang	wang	PROPN
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alkej-1008	497	7	d.	d.	PROPN
alkej-1008	497	8	sun	sun	PROPN
alkej-1008	497	9	,	,	PUNCT
alkej-1008	497	10	"	"	PUNCT
alkej-1008	497	11	the	the	DET
alkej-1008	497	12	improved	improved	ADJ
alkej-1008	497	13	adaboost	adaboost	ADJ
alkej-1008	497	14	algorithms	algorithm	NOUN
alkej-1008	497	15	for	for	ADP
alkej-1008	497	16	imbalanced	imbalanced	ADJ
alkej-1008	497	17	data	datum	NOUN
alkej-1008	497	18	classification	classification	NOUN
alkej-1008	497	19	,	,	PUNCT
alkej-1008	497	20	"	"	PUNCT
alkej-1008	497	21	information	information	NOUN
alkej-1008	497	22	sciences	science	NOUN
alkej-1008	497	23	,	,	PUNCT
alkej-1008	497	24	vol	vol	NOUN
alkej-1008	497	25	.	.	PROPN
alkej-1008	497	26	563	563	NUM
alkej-1008	497	27	,	,	PUNCT
alkej-1008	497	28	pp	pp	ADJ
alkej-1008	497	29	.	.	PUNCT
alkej-1008	498	1	358	358	NUM
alkej-1008	498	2	-	-	SYM
alkej-1008	498	3	374	374	NUM
alkej-1008	498	4	,	,	PUNCT
alkej-1008	498	5	2021	2021	NUM
alkej-1008	498	6	.	.	PUNCT
alkej-1008	499	1	[	[	X
alkej-1008	499	2	34	34	NUM
alkej-1008	499	3	]	]	PUNCT
alkej-1008	499	4	s.	s.	PROPN
alkej-1008	499	5	s.	s.	PROPN
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alkej-1008	499	8	s.	s.	PROPN
alkej-1008	499	9	baliga	baliga	PROPN
alkej-1008	499	10	,	,	PUNCT
alkej-1008	499	11	"	"	PUNCT
alkej-1008	499	12	an	an	DET
alkej-1008	499	13	overview	overview	NOUN
alkej-1008	499	14	of	of	ADP
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alkej-1008	499	16	decision	decision	NOUN
alkej-1008	499	17	tree	tree	NOUN
alkej-1008	499	18	algorithms	algorithm	NOUN
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alkej-1008	499	25	,	,	PUNCT
alkej-1008	499	26	"	"	PUNCT
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alkej-1008	499	28	.	.	PUNCT
alkej-1008	500	1	res	re	NOUN
alkej-1008	500	2	.	.	PUNCT
alkej-1008	501	1	j.	j.	PROPN
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alkej-1008	501	3	.	.	PROPN
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alkej-1008	502	2	,	,	PUNCT
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alkej-1008	502	4	.	.	PROPN
alkej-1008	503	1	7	7	NUM
alkej-1008	503	2	,	,	PUNCT
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alkej-1008	503	4	.	.	NOUN
alkej-1008	503	5	5	5	NUM
alkej-1008	503	6	,	,	PUNCT
alkej-1008	503	7	pp	pp	ADJ
alkej-1008	503	8	.	.	PUNCT
alkej-1008	504	1	6867	6867	NUM
alkej-1008	504	2	-	-	SYM
alkej-1008	504	3	6870	6870	NUM
alkej-1008	504	4	,	,	PUNCT
alkej-1008	504	5	2020	2020	NUM
alkej-1008	504	6	.	.	PUNCT
alkej-1008	505	1	[	[	X
alkej-1008	505	2	35	35	NUM
alkej-1008	505	3	]	]	X
alkej-1008	505	4	o.	o.	PROPN
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alkej-1008	505	7	l.	l.	PROPN
alkej-1008	505	8	rokach	rokach	PROPN
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alkej-1008	505	10	"	"	PUNCT
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alkej-1008	505	13	:	:	PUNCT
alkej-1008	505	14	a	a	DET
alkej-1008	505	15	survey	survey	NOUN
alkej-1008	505	16	,	,	PUNCT
alkej-1008	505	17	"	"	PUNCT
alkej-1008	505	18	wiley	wiley	PROPN
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alkej-1008	505	20	reviews	review	NOUN
alkej-1008	505	21	:	:	PUNCT
alkej-1008	505	22	data	datum	NOUN
alkej-1008	505	23	mining	mining	NOUN
alkej-1008	505	24	and	and	CCONJ
alkej-1008	505	25	knowledge	knowledge	NOUN
alkej-1008	505	26	discovery	discovery	NOUN
alkej-1008	505	27	,	,	PUNCT
alkej-1008	505	28	vol	vol	NOUN
alkej-1008	505	29	.	.	PROPN
alkej-1008	505	30	8	8	NUM
alkej-1008	505	31	,	,	PUNCT
alkej-1008	505	32	no	no	INTJ
alkej-1008	505	33	.	.	NOUN
alkej-1008	505	34	4	4	NUM
alkej-1008	505	35	,	,	PUNCT
alkej-1008	505	36	p.	p.	NOUN
alkej-1008	505	37	e1249	e1249	PROPN
alkej-1008	505	38	,	,	PUNCT
alkej-1008	505	39	2018	2018	NUM
alkej-1008	505	40	.	.	PUNCT
alkej-1008	506	1	[	[	X
alkej-1008	506	2	36	36	NUM
alkej-1008	506	3	]	]	X
alkej-1008	506	4	j.	j.	PROPN
alkej-1008	506	5	tang	tang	PROPN
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alkej-1008	506	7	s.	s.	PROPN
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alkej-1008	506	9	,	,	PUNCT
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alkej-1008	506	11	h.	h.	PROPN
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alkej-1008	506	20	a	a	DET
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alkej-1008	506	22	,	,	PUNCT
alkej-1008	506	23	"	"	PUNCT
alkej-1008	506	24	data	datum	NOUN
alkej-1008	506	25	classification	classification	NOUN
alkej-1008	506	26	:	:	PUNCT
alkej-1008	506	27	algorithms	algorithm	NOUN
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alkej-1008	506	29	applications	application	NOUN
alkej-1008	506	30	,	,	PUNCT
alkej-1008	506	31	p.	p.	NOUN
alkej-1008	506	32	37	37	NUM
alkej-1008	506	33	,	,	PUNCT
alkej-1008	506	34	2014	2014	NUM
alkej-1008	506	35	.	.	PUNCT
alkej-1008	507	1	[	[	X
alkej-1008	507	2	37	37	NUM
alkej-1008	507	3	]	]	X
alkej-1008	507	4	b.	b.	PROPN
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alkej-1008	507	7	j.	j.	PROPN
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alkej-1008	507	9	,	,	PUNCT
alkej-1008	507	10	"	"	PUNCT
alkej-1008	507	11	a	a	DET
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alkej-1008	507	20	"	"	PUNCT
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alkej-1008	507	23	information	information	NOUN
alkej-1008	507	24	technologies	technology	NOUN
alkej-1008	507	25	,	,	PUNCT
alkej-1008	507	26	vol	vol	NOUN
alkej-1008	507	27	.	.	PROPN
alkej-1008	507	28	19	19	NUM
alkej-1008	507	29	,	,	PUNCT
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alkej-1008	507	31	.	.	NOUN
alkej-1008	507	32	1	1	NUM
alkej-1008	507	33	,	,	PUNCT
alkej-1008	507	34	pp	pp	ADJ
alkej-1008	507	35	.	.	PUNCT
alkej-1008	508	1	3	3	NUM
alkej-1008	508	2	-	-	SYM
alkej-1008	508	3	26	26	NUM
alkej-1008	508	4	,	,	PUNCT
alkej-1008	508	5	2019	2019	NUM
alkej-1008	508	6	.	.	PUNCT
alkej-1008	509	1	[	[	X
alkej-1008	509	2	38	38	NUM
alkej-1008	509	3	]	]	PUNCT
alkej-1008	509	4	s.	s.	PROPN
alkej-1008	509	5	n.	n.	PROPN
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alkej-1008	509	8	a.	a.	PROPN
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alkej-1008	509	13	a	a	DET
alkej-1008	509	14	rankedaware	rankedaware	NOUN
alkej-1008	509	15	ga	ga	PROPN
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alkej-1008	509	17	hog	hog	NOUN
alkej-1008	509	18	features	feature	NOUN
alkej-1008	509	19	for	for	ADP
alkej-1008	509	20	infant	infant	NOUN
alkej-1008	509	21	cry	cry	NOUN
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alkej-1008	509	23	,	,	PUNCT
alkej-1008	509	24	"	"	PUNCT
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alkej-1008	509	34	.	.	PROPN
alkej-1008	510	1	16	16	NUM
alkej-1008	510	2	,	,	PUNCT
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alkej-1008	510	5	6	6	NUM
alkej-1008	510	6	,	,	PUNCT
alkej-1008	510	7	2023	2023	NUM
alkej-1008	510	8	.	.	PUNCT
alkej-1008	511	1	[	[	X
alkej-1008	511	2	39	39	NUM
alkej-1008	511	3	]	]	PUNCT
alkej-1008	511	4	a.	a.	NOUN
alkej-1008	511	5	sohail	sohail	PROPN
alkej-1008	511	6	,	,	PUNCT
alkej-1008	511	7	"	"	PUNCT
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alkej-1008	511	9	algorithms	algorithms	NOUN
alkej-1008	511	10	in	in	ADP
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alkej-1008	511	14	artificial	artificial	ADJ
alkej-1008	511	15	intelligence	intelligence	NOUN
alkej-1008	511	16	and	and	CCONJ
alkej-1008	511	17	data	datum	NOUN
alkej-1008	511	18	sciences	science	NOUN
alkej-1008	511	19	,	,	PUNCT
alkej-1008	511	20	"	"	PUNCT
alkej-1008	511	21	annals	annal	NOUN
alkej-1008	511	22	of	of	ADP
alkej-1008	511	23	data	data	NOUN
alkej-1008	511	24	science	science	NOUN
alkej-1008	511	25	,	,	PUNCT
alkej-1008	511	26	vol	vol	NOUN
alkej-1008	511	27	.	.	PROPN
alkej-1008	511	28	10	10	NUM
alkej-1008	511	29	,	,	PUNCT
alkej-1008	511	30	no	no	INTJ
alkej-1008	511	31	.	.	NOUN
alkej-1008	511	32	4	4	NUM
alkej-1008	511	33	,	,	PUNCT
alkej-1008	511	34	pp	pp	ADJ
alkej-1008	511	35	.	.	PUNCT
alkej-1008	512	1	1007	1007	NUM
alkej-1008	512	2	-	-	SYM
alkej-1008	512	3	1018	1018	NUM
alkej-1008	512	4	,	,	PUNCT
alkej-1008	512	5	2023	2023	NUM
alkej-1008	512	6	.	.	PUNCT
alkej-1008	513	1	ali	ali	PROPN
alkej-1008	513	2	raheem	raheem	PROPN
alkej-1008	513	3	al	al	PROPN
alkej-1008	513	4	-	-	PROPN
alkej-1008	513	5	hafiz	hafiz	PROPN
alkej-1008	513	6	al	al	PROPN
alkej-1008	513	7	-	-	PUNCT
alkej-1008	513	8	khwarizmi	khwarizmi	PROPN
alkej-1008	513	9	engineering	engineering	NOUN
alkej-1008	513	10	journal	journal	PROPN
alkej-1008	513	11	,	,	PUNCT
alkej-1008	513	12	vol	vol	NOUN
alkej-1008	513	13	.	.	PROPN
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alkej-1008	513	15	,	,	PUNCT
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alkej-1008	513	17	,	,	PUNCT
alkej-1008	513	18	pp	pp	ADJ
alkej-1008	513	19	.	.	PUNCT
alkej-1008	514	1	117	117	NUM
alkej-1008	514	2	-	-	SYM
alkej-1008	514	3	135	135	NUM
alkej-1008	514	4	(	(	PUNCT
alkej-1008	514	5	2025	2025	NUM
alkej-1008	514	6	)	)	PUNCT
alkej-1008	515	1	134	134	NUM
alkej-1008	516	1	[	[	X
alkej-1008	516	2	40	40	NUM
alkej-1008	516	3	]	]	PUNCT
alkej-1008	516	4	w.	w.	PROPN
alkej-1008	516	5	ali	ali	PROPN
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alkej-1008	516	7	f.	f.	PROPN
alkej-1008	516	8	saeed	saeed	PROPN
alkej-1008	516	9	,	,	PUNCT
alkej-1008	516	10	"	"	PUNCT
alkej-1008	516	11	hybrid	hybrid	ADJ
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alkej-1008	516	13	and	and	CCONJ
alkej-1008	516	14	genetic	genetic	ADJ
alkej-1008	516	15	algorithm	algorithm	NOUN
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alkej-1008	516	17	based	base	VERB
alkej-1008	516	18	feature	feature	NOUN
alkej-1008	516	19	selection	selection	NOUN
alkej-1008	516	20	for	for	ADP
alkej-1008	516	21	improving	improve	VERB
alkej-1008	516	22	cancer	cancer	NOUN
alkej-1008	516	23	classification	classification	NOUN
alkej-1008	516	24	in	in	ADP
alkej-1008	516	25	high	high	ADJ
alkej-1008	516	26	-	-	PUNCT
alkej-1008	516	27	dimensional	dimensional	ADJ
alkej-1008	516	28	microarray	microarray	NOUN
alkej-1008	516	29	data	datum	NOUN
alkej-1008	516	30	,	,	PUNCT
alkej-1008	516	31	"	"	PUNCT
alkej-1008	516	32	processes	process	NOUN
alkej-1008	516	33	,	,	PUNCT
alkej-1008	516	34	vol	vol	NOUN
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alkej-1008	516	41	,	,	PUNCT
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alkej-1008	516	44	,	,	PUNCT
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alkej-1008	516	46	.	.	PUNCT
alkej-1008	517	1	[	[	X
alkej-1008	517	2	41	41	NUM
alkej-1008	517	3	]	]	PUNCT
alkej-1008	517	4	x.	x.	NOUN
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alkej-1008	517	37	1260	1260	NUM
alkej-1008	517	38	,	,	PUNCT
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alkej-1008	517	40	.	.	PUNCT
alkej-1008	518	1	[	[	X
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alkej-1008	518	40	.	.	PUNCT
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alkej-1008	518	44	,	,	PUNCT
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alkej-1008	518	46	.	.	PUNCT
alkej-1008	519	1	[	[	X
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alkej-1008	520	44	.	.	PUNCT
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alkej-1008	521	3	]	]	PUNCT
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alkej-1008	521	11	-	-	PUNCT
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alkej-1008	521	14	,	,	PUNCT
alkej-1008	521	15	"	"	PUNCT
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alkej-1008	521	17	journal	journal	NOUN
alkej-1008	521	18	of	of	ADP
alkej-1008	521	19	science	science	NOUN
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alkej-1008	521	22	(	(	PUNCT
alkej-1008	521	23	ijsr).[internet	ijsr).[internet	NOUN
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alkej-1008	521	25	,	,	PUNCT
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alkej-1008	521	29	,	,	PUNCT
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alkej-1008	521	32	1	1	NUM
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alkej-1008	521	34	pp	pp	ADJ
alkej-1008	521	35	.	.	PUNCT
alkej-1008	521	36	381386	381386	NUM
alkej-1008	521	37	,	,	PUNCT
alkej-1008	521	38	2020	2020	NUM
alkej-1008	521	39	.	.	PUNCT
alkej-1008	522	1	[	[	X
alkej-1008	522	2	45	45	NUM
alkej-1008	522	3	]	]	X
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alkej-1008	522	36	"	"	PUNCT
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alkej-1008	523	2	-	-	SYM
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alkej-1008	523	4	,	,	PUNCT
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alkej-1008	524	1	[	[	X
alkej-1008	524	2	46	46	NUM
alkej-1008	524	3	]	]	PUNCT
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alkej-1008	524	6	"	"	PUNCT
alkej-1008	524	7	web	web	NOUN
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alkej-1008	525	1	[	[	X
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alkej-1008	526	1	available	available	ADJ
alkej-1008	526	2	:	:	PUNCT
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alkej-1008	526	4	web	web	NOUN
alkej-1008	526	5	-	-	PUNCT
alkej-1008	526	6	page	page	NOUN
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alkej-1008	526	15	]	]	PUNCT
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alkej-1008	526	46	.	.	PROPN
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alkej-1008	529	1	https://www.kaggle.com/datasets/shashwatwork/web-page-phishing-detection-dataset	https://www.kaggle.com/datasets/shashwatwork/web-page-phishing-detection-dataset	PROPN
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alkej-1008	529	3	(	(	PUNCT
alkej-1008	529	4	2025	2025	NUM
alkej-1008	529	5	)	)	PUNCT
alkej-1008	529	6	117	117	NUM
alkej-1008	529	7	-	-	SYM
alkej-1008	529	8	135	135	NUM
alkej-1008	529	9	،	،	NOUN
alkej-1008	529	10	صفحة	صفحة	PROPN
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alkej-1008	529	27	k	k	NOUN
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alkej-1008	529	29	means	means	NOUN
alkej-1008	529	30	نهج	نهج	VERB
alkej-1008	529	31	متكامل	متكامل	NOUN
alkej-1008	529	32	للكشف	للكشف	NOUN
alkej-1008	529	33	عن	عن	VERB
alkej-1008	529	34	التصيد	التصيد	ADJ
alkej-1008	529	35	االحتيالي	االحتيالي	ADJ
alkej-1008	529	36	باستخدام	باستخدام	NOUN
alkej-1008	529	37	3شمالة	3شمالة	NUM
alkej-1008	529	38	سوبرامانيام	سوبرامانيام	NOUN
alkej-1008	529	39	،	،	NOUN
alkej-1008	529	40	2عدنان	2عدنان	NUM
alkej-1008	529	41	جمعه	جمعه	NOUN
alkej-1008	529	42	جابر	جابر	ADJ
alkej-1008	529	43	،	،	X
alkej-1008	529	44	*	*	SYM
alkej-1008	529	45	1	1	NUM
alkej-1008	529	46	علي	علي	NOUN
alkej-1008	529	47	رحيم	رحيم	PROPN
alkej-1008	529	48	الحافظ	الحافظ	PROPN
alkej-1008	529	49	قسم	قسم	PROPN
alkej-1008	529	50	علوم	علوم	PROPN
alkej-1008	529	51	الحاسبات	الحاسبات	PROPN
alkej-1008	529	52	،	،	PROPN
alkej-1008	529	53	كلية	كلية	PROPN
alkej-1008	529	54	العلوم	العلوم	PROPN
alkej-1008	529	55	،	،	PROPN
alkej-1008	529	56	جامعة	جامعة	PROPN
alkej-1008	529	57	بغداد	بغداد	PROPN
alkej-1008	529	58	،	،	PROPN
alkej-1008	529	59	بغداد	بغداد	PROPN
alkej-1008	529	60	،	،	PROPN
alkej-1008	529	61	العراق	العراق	PROPN
alkej-1008	529	62	2،1	2،1	PROPN
alkej-1008	529	63	،	،	PROPN
alkej-1008	529	64	43400قسم	43400قسم	PROPN
alkej-1008	529	65	تكنولوجيا	تكنولوجيا	PROPN
alkej-1008	529	66	االتصاالت	االتصاالت	PROPN
alkej-1008	529	67	والشبكات	والشبكات	PROPN
alkej-1008	529	68	،	،	PROPN
alkej-1008	529	69	كلية	كلية	PROPN
alkej-1008	529	70	علوم	علوم	PROPN
alkej-1008	529	71	الحاسوب	الحاسوب	PROPN
alkej-1008	529	72	وتكنولوجيا	وتكنولوجيا	PROPN
alkej-1008	529	73	المعلومات	المعلومات	PROPN
alkej-1008	529	74	،	،	PROPN
alkej-1008	529	75	جامعة	جامعة	PROPN
alkej-1008	529	76	بوترا	بوترا	NOUN
alkej-1008	529	77	ماليزيا	ماليزيا	PROPN
alkej-1008	529	78	،	،	PROPN
alkej-1008	529	79	سيردانج	سيردانج	PROPN
alkej-1008	529	80	،	،	NOUN
alkej-1008	529	81	3	3	NUM
alkej-1008	529	82	سيالنجور	سيالنجور	NOUN
alkej-1008	529	83	دار	دار	PROPN
alkej-1008	529	84	اإلحسان	اإلحسان	NOUN
alkej-1008	529	85	،	،	NOUN
alkej-1008	529	86	ماليزيا	ماليزيا	PROPN
alkej-1008	529	87	aliraheem2201m@sc.ubaghdad.edu.iq	aliraheem2201m@sc.ubaghdad.edu.iq	PROPN
alkej-1008	529	88	:	:	PUNCT
alkej-1008	529	89	البريد	البريد	VERB
alkej-1008	529	90	االلكتروني	االلكتروني	NOUN
alkej-1008	529	91	*	*	PUNCT
alkej-1008	529	92	المستخلص	المستخلص	PROPN
alkej-1008	529	93	يار	يار	PROPN
alkej-1008	529	94	الميزات	الميزات	PROPN
alkej-1008	529	95	الكشف	الكشف	PROPN
alkej-1008	529	96	عن	عن	PROPN
alkej-1008	529	97	التصيد	التصيد	VERB
alkej-1008	529	98	االحتيالي	االحتيالي	ADV
alkej-1008	529	99	هو	هو	PROPN
alkej-1008	529	100	مشكلة	مشكلة	NOUN
alkej-1008	529	101	حرجة	حرجة	NOUN
alkej-1008	529	102	في	في	ADP
alkej-1008	529	103	مجال	مجال	X
alkej-1008	529	104	األمن	األمن	PROPN
alkej-1008	529	105	السيبراني	السيبراني	PROPN
alkej-1008	529	106	،	،	PROPN
alkej-1008	529	107	وأكبر	وأكبر	PROPN
alkej-1008	529	108	تحٍد	تحٍد	PROPN
alkej-1008	529	109	هو	هو	X
alkej-1008	529	110	كيفية	كيفية	ADJ
alkej-1008	529	111	استخدام	استخدام	PROPN
alkej-1008	529	112	التعلم	التعلم	PROPN
alkej-1008	529	113	اآللي	اآللي	PROPN
alkej-1008	529	114	مع	مع	PROPN
alkej-1008	529	115	طريقة	طريقة	NOUN
alkej-1008	529	116	فعالة	فعالة	PROPN
alkej-1008	529	117	الخت	الخت	PROPN
alkej-1008	529	118	اختي	اختي	PROPN
alkej-1008	530	1	استخدام	استخدام	PROPN
alkej-1008	530	2	فيهما	فيهما	PROPN
alkej-1008	530	3	يتم	يتم	PROPN
alkej-1008	530	4	رئيسيتين	رئيسيتين	PROPN
alkej-1008	530	5	،	،	PROPN
alkej-1008	530	6	مرحلتين	مرحلتين	PROPN
alkej-1008	531	1	من	من	PROPN
alkej-1008	531	2	يتكون	يتكون	PROPN
alkej-1008	531	3	االحتيالي	االحتيالي	PROPN
alkej-1008	531	4	التصيد	التصيد	PROPN
alkej-1008	531	5	عن	عن	VERB
alkej-1008	531	6	للكشف	للكشف	ADJ
alkej-1008	531	7	نظاًما	نظاًما	X
alkej-1008	531	8	البحث	البحث	NOUN
alkej-1008	531	9	هذا	هذا	ADJ
alkej-1008	531	10	يقدم	يقدم	ADJ
alkej-1008	531	11	بدقة	بدقة	NOUN
alkej-1008	531	12	.	.	PUNCT
alkej-1008	532	1	الضارة	الضارة	PROPN
alkej-1008	532	2	المواقع	المواقع	VERB
alkej-1008	532	3	غير	غير	NOUN
alkej-1008	532	4	لتحديد	لتحديد	VERB
alkej-1008	532	5	الميزات	الميزات	PROPN
alkej-1008	532	6	ار	ار	PROPN
alkej-1008	532	7	لتحديد	لتحديد	PROPN
alkej-1008	532	8	أفضل	أفضل	PROPN
alkej-1008	532	9	مجموعة	مجموعة	PROPN
alkej-1008	532	10	من	من	PROPN
alkej-1008	532	11	الميزات	الميزات	PROPN
alkej-1008	532	12	التي	التي	PROPN
alkej-1008	532	13	يتم	يتم	PROPN
alkej-1008	532	14	استخدامها	استخدامها	ADV
alkej-1008	532	15	بواسطة	بواسطة	NOUN
alkej-1008	532	16	(	(	PUNCT
alkej-1008	532	17	ga	ga	NOUN
alkej-1008	532	18	)	)	PUNCT
alkej-1008	532	19	المراقب	المراقب	PROPN
alkej-1008	532	20	والتصنيف	والتصنيف	PROPN
alkej-1008	532	21	المراقب.في	المراقب.في	PROPN
alkej-1008	533	1	المرحلة	المرحلة	PROPN
alkej-1008	533	2	األولى	األولى	PROPN
alkej-1008	533	3	،	،	PROPN
alkej-1008	533	4	تُستخدم	تُستخدم	PROPN
alkej-1008	533	5	خوارزمية	خوارزمية	PROPN
alkej-1008	533	6	التحسين	التحسين	PROPN
alkej-1008	533	7	الجيني	الجيني	PROPN
alkej-1008	533	8	خوارزمية	خوارزمية	PROPN
alkej-1008	533	9	التحسين	التحسين	PROPN
alkej-1008	533	10	الجيني	الجيني	PROPN
alkej-1008	533	11	ية	ية	PROPN
alkej-1008	533	12	،	،	PROPN
alkej-1008	533	13	فيتم	فيتم	NOUN
alkej-1008	533	14	استخدام	استخدام	PROPN
alkej-1008	533	15	لتقسيم	لتقسيم	PROPN
alkej-1008	533	16	مجموعة	مجموعة	PROPN
alkej-1008	533	17	البيانات	البيانات	PROPN
alkej-1008	533	18	إلى	إلى	PROPN
alkej-1008	533	19	مجموعات	مجموعات	PROPN
alkej-1008	533	20	تحمل	تحمل	NOUN
alkej-1008	533	21	سمات	سمات	VERB
alkej-1008	533	22	متشابهة.أما	متشابهة.أما	PROPN
alkej-1008	533	23	في	في	ADP
alkej-1008	533	24	المرحلة	المرحلة	PROPN
alkej-1008	533	25	الثان	الثان	PROPN
alkej-1008	533	26	k	k	PROPN
alkej-1008	533	27	-	-	PUNCT
alkej-1008	533	28	meansخوارزمية	meansخوارزمية	ADJ
alkej-1008	533	29	التجميع	التجميع	NOUN
alkej-1008	533	30	(	(	PUNCT
alkej-1008	533	31	ga	ga	NOUN
alkej-1008	533	32	)	)	PUNCT
alkej-1008	533	33	مرة	مرة	PROPN
alkej-1008	533	34	أخرى	أخرى	NOUN
alkej-1008	533	35	لتحديد	لتحديد	PROPN
alkej-1008	533	36	أفضل	أفضل	PROPN
alkej-1008	533	37	مجموعة	مجموعة	PROPN
alkej-1008	533	38	ميزات	ميزات	PROPN
alkej-1008	533	39	داخل	داخل	PROPN
alkej-1008	533	40	كل	كل	PROPN
alkej-1008	533	41	مجموعة	مجموعة	PROPN
alkej-1008	533	42	،	،	PROPN
alkej-1008	534	1	مما	مما	PROPN
alkej-1008	534	2	يعزز	يعزز	PROPN
alkej-1008	534	3	عملية	عملية	PROPN
alkej-1008	534	4	التصنيف	التصنيف	PROPN
alkej-1008	534	5	.	.	PUNCT
alkej-1008	535	1	في	في	PRON
alkej-1008	535	2	النهاية	النهاية	PROPN
alkej-1008	535	3	،	،	PROPN
alkej-1008	535	4	يتم	يتم	PROPN
alkej-1008	535	5	تطبيق	تطبيق	PROPN
alkej-1008	535	6	تقنية	تقنية	NOUN
alkej-1008	535	7	التجميع	التجميع	VERB
alkej-1008	535	8	بالتصويتvoting	بالتصويتvote	VERB
alkej-1008	535	9	ensemble	ensemble	ADJ
alkej-1008	535	10	)	)	PUNCT
alkej-1008	535	11	نماذج	نماذج	VERB
alkej-1008	535	12	دمج	دمج	NOUN
alkej-1008	535	13	يتم	يتم	PROPN
alkej-1008	535	14	آلية	آلية	PROPN
alkej-1008	535	15	adaboost)و	adaboost)و	PROPN
alkej-1008	535	16	xgboostو	xgboostو	PROPN
alkej-1008	535	17	random	random	ADJ
alkej-1008	535	18	forest	forest	NOUN
alkej-1008	535	19	(	(	PUNCT
alkej-1008	535	20	rf)و	rf)و	NOUN
alkej-1008	535	21	support	support	VERB
alkej-1008	535	22	vector	vector	NOUN
alkej-1008	535	23	machine	machine	NOUN
alkej-1008	535	24	(	(	PUNCT
alkej-1008	535	25	svm	svm	ADJ
alkej-1008	535	26	)	)	PUNCT
alkej-1008	535	27	،	،	PROPN
alkej-1008	535	28	حيث	حيث	PROPN
alkej-1008	535	29	باستخدام	باستخدام	PROPN
alkej-1008	535	30	البحث	البحث	PROPN
alkej-1008	535	31	،	،	PROPN
alkej-1008	535	32	تحتوي	تحتوي	PROPN
alkej-1008	535	33	على	على	PROPN
alkej-1008	535	34	في	في	ADP
alkej-1008	535	35	هذا	هذا	PROPN
alkej-1008	535	36	الويب	الويب	PROPN
alkej-1008	535	37	التصيد	التصيد	PROPN
alkej-1008	535	38	االحتيالي	االحتيالي	PROPN
alkej-1008	535	39	لصفحات	لصفحات	NOUN
alkej-1008	535	40	بالكشف	بالكشف	VERB
alkej-1008	535	41	عن	عن	PROPN
alkej-1008	535	42	بيانات	بيانات	ADJ
alkej-1008	535	43	خاصة	خاصة	PROPN
alkej-1008	535	44	التنبؤات.تم	التنبؤات.تم	PROPN
alkej-1008	535	45	استخدام	استخدام	PROPN
alkej-1008	535	46	مجموعة	مجموعة	PROPN
alkej-1008	535	47	11,430تصويت	11,430تصويت	NUM
alkej-1008	535	48	ناعمة	ناعمة	VERB
alkej-1008	535	49	لتجميع	لتجميع	PROPN
alkej-1008	535	50	دون	دون	VERB
alkej-1008	535	51	استخدام	استخدام	NOUN
alkej-1008	536	1	%	%	NOUN
alkej-1008	536	2	77.3ـ	77.3ـ	NUM
alkej-1008	536	3	عند	عند	NOUN
alkej-1008	536	4	استخدام	استخدام	PROPN
alkej-1008	536	5	اختيار	اختيار	PROPN
alkej-1008	536	6	الميزات	الميزات	PROPN
alkej-1008	536	7	،	،	PROPN
alkej-1008	536	8	مقارنة	مقارنة	NOUN
alkej-1008	536	9	ب	ب	X
alkej-1008	536	10	%	%	NOUN
alkej-1008	536	11	99ميزة.أظهرت	99ميزة.أظهرت	NUM
alkej-1008	536	12	النتائج	النتائج	NOUN
alkej-1008	536	13	أن	أن	ADP
alkej-1008	536	14	تقنية	تقنية	NOUN
alkej-1008	536	15	التجميع	التجميع	VERB
alkej-1008	536	16	بالتصويت	بالتصويت	ADJ
alkej-1008	536	17	تحقق	تحقق	NOUN
alkej-1008	536	18	دقة	دقة	NOUN
alkej-1008	536	19	تصل	تصل	NOUN
alkej-1008	536	20	إلى	إلى	NOUN
alkej-1008	536	21	87و	87و	X
alkej-1008	536	22	urlعنوان	urlعنوان	PROPN
alkej-1008	536	23	خوارزمية	خوارزمية	ADJ
alkej-1008	536	24	باستخدام	باستخدام	NOUN
alkej-1008	536	25	الُمحسَّن	الُمحسَّن	PROPN
alkej-1008	536	26	الميزات	الميزات	PROPN
alkej-1008	536	27	اختيار	اختيار	PROPN
alkej-1008	536	28	يُظهر	يُظهر	PROPN
alkej-1008	537	1	الميزات	الميزات	PROPN
alkej-1008	537	2	.	.	PUNCT
alkej-1008	538	1	وتحسين	وتحسين	PROPN
alkej-1008	538	2	(	(	PUNCT
alkej-1008	538	3	ga)اختيار	ga)اختيار	PROPN
alkej-1008	538	4	الحسابي	الحسابي	PROPN
alkej-1008	538	5	التعقيد	التعقيد	PROPN
alkej-1008	538	6	تقليل	تقليل	PROPN
alkej-1008	538	7	خالل	خالل	PROPN
alkej-1008	538	8	من	من	PROPN
alkej-1008	538	9	النموذج	النموذج	PROPN
alkej-1008	538	10	،	،	PROPN
alkej-1008	538	11	أداء	أداء	PROPN
alkej-1008	538	12	في	في	PART
alkej-1008	538	13	كبيًرا	كبيًرا	PROPN
alkej-1008	538	14	تحسينًا	تحسينًا	PROPN
alkej-1008	538	15	(	(	PUNCT
alkej-1008	538	16	الدقة	الدقة	NOUN
alkej-1008	538	17	مثل	مثل	NOUN
alkej-1008	538	18	الرئيسية	الرئيسية	PROPN
alkej-1008	538	19	)	)	PUNCT
alkej-1008	538	20	(	(	PUNCT
alkej-1008	538	21	accuracyالمؤشرات	accuracyالمؤشرات	NOUN
alkej-1008	538	22	التحديد	التحديد	AUX
alkej-1008	538	23	ومعامل	ومعامل	NOUN
alkej-1008	538	24	،	،	X
alkej-1008	538	25	precision	precision	NOUN
alkej-1008	538	26	)	)	PUNCT
alkej-1008	538	27	ودرجة	ودرجة	ADJ
alkej-1008	538	28	،	،	NOUN
alkej-1008	538	29	f1	f1	NOUN
alkej-1008	538	30	(	(	PUNCT
alkej-1008	538	31	f1	f1	NOUN
alkej-1008	538	32	-	-	PUNCT
alkej-1008	538	33	score	score	NOUN
alkej-1008	538	34	)	)	PUNCT
alkej-1008	538	35	.	.	PUNCT
alkej-1008	539	1	أربع	أربع	PROPN
alkej-1008	539	2	عبر	عبر	PROPN
alkej-1008	539	3	النتائج	النتائج	PROPN
alkej-1008	539	4	تُظهر	تُظهر	PUNCT
alkej-1008	539	5	ذلك	ذلك	PROPN
alkej-1008	539	6	،	،	PROPN
alkej-1008	539	7	إلى	إلى	PROPN
alkej-1008	539	8	إضافة	إضافة	PROPN
alkej-1008	539	9	أن	أن	AUX
alkej-1008	539	10	خوارزمية	خوارزمية	PROPN
alkej-1008	539	11	البيانات	البيانات	PROPN
alkej-1008	539	12	دمج	دمج	PROPN
alkej-1008	540	1	k	k	NOUN
alkej-1008	540	2	-	-	PUNCT
alkej-1008	540	3	meansمجموعات	meansمجموعات	VERB
alkej-1008	540	4	أن	أن	PROPN
alkej-1008	540	5	المحققة	المحققة	PROPN
alkej-1008	540	6	النتائج	النتائج	NOUN
alkej-1008	540	7	تُثبت	تُثبت	X
alkej-1008	540	8	معينة	معينة	NOUN
alkej-1008	540	9	.	.	PUNCT
alkej-1008	541	1	بيانات	بيانات	PROPN
alkej-1008	541	2	التصنيف	التصنيف	PROPN
alkej-1008	541	3	ضمن	ضمن	PROPN
alkej-1008	541	4	مجموعات	مجموعات	PROPN
alkej-1008	541	5	دقة	دقة	NOUN
alkej-1008	541	6	تحسين	تحسين	NOUN
alkej-1008	541	7	في	في	ADP
alkej-1008	541	8	إيجابي	إيجابي	ADJ
alkej-1008	541	9	بشكل	بشكل	NOUN
alkej-1008	541	10	تُسهم	تُسهم	CCONJ
alkej-1008	541	11	.التطبيق	.التطبيق	X
alkej-1008	541	12	والكفاءة	والكفاءة	NOUN
alkej-1008	541	13	لهذا	لهذا	VERB
alkej-1008	542	1	الحل	الحل	PROPN
alkej-1008	543	1	في	في	DET
alkej-1008	543	2	االستخدامات	االستخدامات	PROPN
alkej-1008	543	3	الواقعيةاختيار	الواقعيةاختيار	PROPN
alkej-1008	543	4	الميزات	الميزات	PROPN
alkej-1008	543	5	مع	مع	PROPN
alkej-1008	543	6	تقنيات	تقنيات	PROPN
alkej-1008	543	7	التعلم	التعلم	NOUN
alkej-1008	543	8	المجمع	المجمع	PROPN
alkej-1008	543	9	يعد	يعد	VERB
alkej-1008	543	10	حالً	حالً	NOUN
alkej-1008	543	11	فعاالً	فعاالً	NOUN
alkej-1008	543	12	للكشف	للكشف	PROPN
alkej-1008	543	13	عن	عن	VERB
alkej-1008	543	14	التصيد	التصيد	PROPN
alkej-1008	543	15	االحتيالي	االحتيالي	PROPN
alkej-1008	543	16	،	،	PROPN
alkej-1008	543	17	ويظهر	ويظهر	PROPN
alkej-1008	543	18	قابلية	قابلية	PROPN
alkej-1008	543	19	mailto:aliraheem2201m@sc.ubaghdad.edu.iq	mailto:aliraheem2201m@sc.ubaghdad.edu.iq	PROPN