id	sid	tid	token	lemma	pos
cana-3827	1	1	communications	communication	NOUN
cana-3827	1	2	on	on	ADP
cana-3827	1	3	applied	apply	VERB
cana-3827	1	4	nonlinear	nonlinear	ADJ
cana-3827	1	5	analysis	analysis	NOUN
cana-3827	1	6	issn	issn	NOUN
cana-3827	1	7	:	:	PUNCT
cana-3827	1	8	1074	1074	NUM
cana-3827	1	9	-	-	PUNCT
cana-3827	1	10	133x	133x	NUM
cana-3827	1	11	vol	vol	NOUN
cana-3827	1	12	32	32	NUM
cana-3827	1	13	no	no	NOUN
cana-3827	1	14	.	.	PUNCT
cana-3827	2	1	8s	8s	PROPN
cana-3827	2	2	(	(	PUNCT
cana-3827	2	3	2025	2025	NUM
cana-3827	2	4	)	)	PUNCT
cana-3827	2	5	847	847	NUM
cana-3827	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3827	2	7	prediction	prediction	NOUN
cana-3827	2	8	and	and	CCONJ
cana-3827	2	9	assessment	assessment	NOUN
cana-3827	2	10	of	of	ADP
cana-3827	2	11	software	software	NOUN
cana-3827	2	12	engineering	engineering	NOUN
cana-3827	2	13	skill	skill	NOUN
cana-3827	2	14	set	set	VERB
cana-3827	2	15	among	among	ADP
cana-3827	2	16	computer	computer	NOUN
cana-3827	2	17	science	science	NOUN
cana-3827	2	18	students	student	NOUN
cana-3827	2	19	using	use	VERB
cana-3827	2	20	random	random	ADJ
cana-3827	2	21	forest	forest	NOUN
cana-3827	2	22	algorithm	algorithm	NOUN
cana-3827	2	23	jasmin	jasmin	PROPN
cana-3827	2	24	nizar	nizar	PROPN
cana-3827	2	25	1	1	NUM
cana-3827	2	26	*	*	NUM
cana-3827	2	27	,	,	PUNCT
cana-3827	2	28	r	r	NOUN
cana-3827	2	29	sharmila2	sharmila2	NOUN
cana-3827	2	30	and	and	CCONJ
cana-3827	2	31	jaseena	jaseena	PROPN
cana-3827	2	32	k	k	PROPN
cana-3827	2	33	u3	u3	PROPN
cana-3827	2	34	1*research	1*research	NUM
cana-3827	2	35	scholar	scholar	NOUN
cana-3827	2	36	,	,	PUNCT
cana-3827	2	37	department	department	NOUN
cana-3827	2	38	of	of	ADP
cana-3827	2	39	computer	computer	NOUN
cana-3827	2	40	science	science	NOUN
cana-3827	2	41	,	,	PUNCT
cana-3827	2	42	karpagam	karpagam	PROPN
cana-3827	2	43	academy	academy	PROPN
cana-3827	2	44	of	of	ADP
cana-3827	2	45	higher	high	ADJ
cana-3827	2	46	education	education	NOUN
cana-3827	2	47	,	,	PUNCT
cana-3827	2	48	coimbatore	coimbatore	PROPN
cana-3827	2	49	,	,	PUNCT
cana-3827	2	50	tamil	tamil	PROPN
cana-3827	2	51	nadu	nadu	NOUN
cana-3827	2	52	,	,	PUNCT
cana-3827	2	53	india1	india1	PROPN
cana-3827	2	54	2professor	2professor	NUM
cana-3827	2	55	,	,	PUNCT
cana-3827	2	56	department	department	NOUN
cana-3827	2	57	of	of	ADP
cana-3827	2	58	computer	computer	NOUN
cana-3827	2	59	applications	application	NOUN
cana-3827	2	60	,	,	PUNCT
cana-3827	2	61	karpagam	karpagam	PROPN
cana-3827	2	62	academy	academy	PROPN
cana-3827	2	63	of	of	ADP
cana-3827	2	64	higher	high	ADJ
cana-3827	2	65	education	education	NOUN
cana-3827	2	66	,	,	PUNCT
cana-3827	2	67	coimbatore	coimbatore	PROPN
cana-3827	2	68	,	,	PUNCT
cana-3827	2	69	tamil	tamil	PROPN
cana-3827	2	70	nadu	nadu	NOUN
cana-3827	2	71	,	,	PUNCT
cana-3827	2	72	india2	india2	NOUN
cana-3827	2	73	3assistant	3assistant	NUM
cana-3827	2	74	professor	professor	NOUN
cana-3827	2	75	,	,	PUNCT
cana-3827	2	76	department	department	NOUN
cana-3827	2	77	of	of	ADP
cana-3827	2	78	computer	computer	NOUN
cana-3827	2	79	applications	application	NOUN
cana-3827	2	80	,	,	PUNCT
cana-3827	2	81	mes	mes	PROPN
cana-3827	2	82	college	college	PROPN
cana-3827	2	83	marampally	marampally	ADV
cana-3827	2	84	,	,	PUNCT
cana-3827	2	85	aluva	aluva	PROPN
cana-3827	2	86	,	,	PUNCT
cana-3827	2	87	kochi	kochi	PROPN
cana-3827	2	88	,	,	PUNCT
cana-3827	2	89	kerala	kerala	NOUN
cana-3827	2	90	,	,	PUNCT
cana-3827	2	91	india3	india3	NOUN
cana-3827	2	92	article	article	NOUN
cana-3827	2	93	history	history	NOUN
cana-3827	2	94	:	:	PUNCT
cana-3827	2	95	received	receive	VERB
cana-3827	2	96	:	:	PUNCT
cana-3827	2	97	10	10	NUM
cana-3827	2	98	-	-	SYM
cana-3827	2	99	11	11	NUM
cana-3827	2	100	-	-	PUNCT
cana-3827	2	101	2024	2024	NUM
cana-3827	2	102	revised:24	revised:24	X
cana-3827	2	103	-	-	PUNCT
cana-3827	2	104	12	12	NUM
cana-3827	2	105	-	-	PUNCT
cana-3827	2	106	2024	2024	NUM
cana-3827	2	107	accepted:09	accepted:09	NOUN
cana-3827	2	108	-	-	PUNCT
cana-3827	2	109	01	01	NUM
cana-3827	2	110	-	-	PUNCT
cana-3827	2	111	2025	2025	NUM
cana-3827	2	112	abstract	abstract	NOUN
cana-3827	2	113	:	:	PUNCT
cana-3827	2	114	introduction	introduction	NOUN
cana-3827	2	115	:	:	PUNCT
cana-3827	2	116	skill	skill	NOUN
cana-3827	2	117	assessment	assessment	NOUN
cana-3827	2	118	of	of	ADP
cana-3827	2	119	students	student	NOUN
cana-3827	2	120	is	be	AUX
cana-3827	2	121	an	an	DET
cana-3827	2	122	evaluation	evaluation	NOUN
cana-3827	2	123	process	process	NOUN
cana-3827	2	124	that	that	PRON
cana-3827	2	125	captures	capture	VERB
cana-3827	2	126	the	the	DET
cana-3827	2	127	ability	ability	NOUN
cana-3827	2	128	of	of	ADP
cana-3827	2	129	each	each	DET
cana-3827	2	130	student	student	NOUN
cana-3827	2	131	,	,	PUNCT
cana-3827	2	132	whether	whether	SCONJ
cana-3827	2	133	they	they	PRON
cana-3827	2	134	are	be	AUX
cana-3827	2	135	new	new	ADJ
cana-3827	2	136	to	to	ADP
cana-3827	2	137	a	a	DET
cana-3827	2	138	skill	skill	NOUN
cana-3827	2	139	or	or	CCONJ
cana-3827	2	140	have	have	AUX
cana-3827	2	141	mastered	master	VERB
cana-3827	2	142	it	it	PRON
cana-3827	2	143	.	.	PUNCT
cana-3827	3	1	people	people	NOUN
cana-3827	3	2	working	work	VERB
cana-3827	3	3	on	on	ADP
cana-3827	3	4	software	software	NOUN
cana-3827	3	5	development	development	NOUN
cana-3827	3	6	projects	project	NOUN
cana-3827	3	7	need	need	VERB
cana-3827	3	8	to	to	PART
cana-3827	3	9	possess	possess	VERB
cana-3827	3	10	three	three	NUM
cana-3827	3	11	skills	skill	NOUN
cana-3827	3	12	:	:	PUNCT
cana-3827	3	13	soft	soft	ADJ
cana-3827	3	14	skills	skill	NOUN
cana-3827	3	15	,	,	PUNCT
cana-3827	3	16	life	life	NOUN
cana-3827	3	17	skills	skill	NOUN
cana-3827	3	18	,	,	PUNCT
cana-3827	3	19	and	and	CCONJ
cana-3827	3	20	technical	technical	ADJ
cana-3827	3	21	skills	skill	NOUN
cana-3827	3	22	.	.	PUNCT
cana-3827	4	1	it	it	PRON
cana-3827	4	2	is	be	AUX
cana-3827	4	3	globally	globally	ADV
cana-3827	4	4	accepted	accept	VERB
cana-3827	4	5	in	in	ADP
cana-3827	4	6	the	the	DET
cana-3827	4	7	it	it	PRON
cana-3827	4	8	industry	industry	NOUN
cana-3827	4	9	that	that	SCONJ
cana-3827	4	10	for	for	SCONJ
cana-3827	4	11	computer	computer	NOUN
cana-3827	4	12	science	science	NOUN
cana-3827	4	13	students	student	NOUN
cana-3827	4	14	to	to	PART
cana-3827	4	15	succeed	succeed	VERB
cana-3827	4	16	in	in	ADP
cana-3827	4	17	their	their	PRON
cana-3827	4	18	careers	career	NOUN
cana-3827	4	19	to	to	ADP
cana-3827	4	20	the	the	DET
cana-3827	4	21	fullest	full	ADJ
cana-3827	4	22	extent	extent	NOUN
cana-3827	4	23	,	,	PUNCT
cana-3827	4	24	project	project	NOUN
cana-3827	4	25	management	management	NOUN
cana-3827	4	26	training	training	NOUN
cana-3827	4	27	is	be	AUX
cana-3827	4	28	required	require	VERB
cana-3827	4	29	.	.	PUNCT
cana-3827	5	1	the	the	DET
cana-3827	5	2	skill	skill	NOUN
cana-3827	5	3	-	-	PUNCT
cana-3827	5	4	based	base	VERB
cana-3827	5	5	education	education	NOUN
cana-3827	5	6	in	in	ADP
cana-3827	5	7	software	software	NOUN
cana-3827	5	8	engineering	engineering	NOUN
cana-3827	5	9	helps	help	VERB
cana-3827	5	10	to	to	PART
cana-3827	5	11	produce	produce	VERB
cana-3827	5	12	go	go	VERB
cana-3827	5	13	-	-	PUNCT
cana-3827	5	14	to	to	ADP
cana-3827	5	15	-	-	PUNCT
cana-3827	5	16	market	market	NOUN
cana-3827	5	17	talent	talent	NOUN
cana-3827	5	18	and	and	CCONJ
cana-3827	5	19	,	,	PUNCT
cana-3827	5	20	in	in	ADP
cana-3827	5	21	turn	turn	NOUN
cana-3827	5	22	,	,	PUNCT
cana-3827	5	23	achieve	achieve	VERB
cana-3827	5	24	job	job	NOUN
cana-3827	5	25	satisfaction	satisfaction	NOUN
cana-3827	5	26	and	and	CCONJ
cana-3827	5	27	potential	potential	ADJ
cana-3827	5	28	career	career	NOUN
cana-3827	5	29	growth	growth	NOUN
cana-3827	5	30	.	.	PUNCT
cana-3827	6	1	in	in	ADP
cana-3827	6	2	the	the	DET
cana-3827	6	3	current	current	ADJ
cana-3827	6	4	educational	educational	ADJ
cana-3827	6	5	system	system	NOUN
cana-3827	6	6	,	,	PUNCT
cana-3827	6	7	it	it	PRON
cana-3827	6	8	is	be	AUX
cana-3827	6	9	essential	essential	ADJ
cana-3827	6	10	to	to	PART
cana-3827	6	11	predict	predict	VERB
cana-3827	6	12	students	student	NOUN
cana-3827	6	13	'	'	PART
cana-3827	6	14	skill	skill	NOUN
cana-3827	6	15	sets	set	NOUN
cana-3827	6	16	,	,	PUNCT
cana-3827	6	17	including	include	VERB
cana-3827	6	18	soft	soft	ADJ
cana-3827	6	19	,	,	PUNCT
cana-3827	6	20	life	life	NOUN
cana-3827	6	21	,	,	PUNCT
cana-3827	6	22	and	and	CCONJ
cana-3827	6	23	technical	technical	ADJ
cana-3827	6	24	skills	skill	NOUN
cana-3827	6	25	.	.	PUNCT
cana-3827	7	1	the	the	DET
cana-3827	7	2	skill	skill	NOUN
cana-3827	7	3	set	set	VERB
cana-3827	7	4	of	of	ADP
cana-3827	7	5	software	software	NOUN
cana-3827	7	6	engineering	engineering	NOUN
cana-3827	7	7	among	among	ADP
cana-3827	7	8	computer	computer	NOUN
cana-3827	7	9	science	science	NOUN
cana-3827	7	10	students	student	NOUN
cana-3827	7	11	can	can	AUX
cana-3827	7	12	be	be	AUX
cana-3827	7	13	accurately	accurately	ADV
cana-3827	7	14	predicted	predict	VERB
cana-3827	7	15	using	use	VERB
cana-3827	7	16	machine	machine	NOUN
cana-3827	7	17	learning	learning	NOUN
cana-3827	7	18	approaches	approach	NOUN
cana-3827	7	19	.	.	PUNCT
cana-3827	8	1	objectives	objective	NOUN
cana-3827	8	2	:	:	PUNCT
cana-3827	8	3	to	to	PART
cana-3827	8	4	identify	identify	VERB
cana-3827	8	5	skill	skill	NOUN
cana-3827	8	6	gaps	gap	NOUN
cana-3827	8	7	among	among	ADP
cana-3827	8	8	students	student	NOUN
cana-3827	8	9	,	,	PUNCT
cana-3827	8	10	promote	promote	VERB
cana-3827	8	11	skill	skill	NOUN
cana-3827	8	12	-	-	PUNCT
cana-3827	8	13	based	base	VERB
cana-3827	8	14	education	education	NOUN
cana-3827	8	15	within	within	ADP
cana-3827	8	16	software	software	NOUN
cana-3827	8	17	engineering	engineering	NOUN
cana-3827	8	18	programs	program	NOUN
cana-3827	8	19	,	,	PUNCT
cana-3827	8	20	and	and	CCONJ
cana-3827	8	21	enhance	enhance	VERB
cana-3827	8	22	workforce	workforce	NOUN
cana-3827	8	23	readiness	readiness	NOUN
cana-3827	8	24	by	by	ADP
cana-3827	8	25	bridging	bridge	VERB
cana-3827	8	26	the	the	DET
cana-3827	8	27	knowledge	knowledge	NOUN
cana-3827	8	28	gap	gap	NOUN
cana-3827	8	29	between	between	ADP
cana-3827	8	30	academia	academia	NOUN
cana-3827	8	31	and	and	CCONJ
cana-3827	8	32	the	the	DET
cana-3827	8	33	software	software	NOUN
cana-3827	8	34	industry	industry	NOUN
cana-3827	8	35	.	.	PUNCT
cana-3827	9	1	methods	method	NOUN
cana-3827	9	2	:	:	PUNCT
cana-3827	9	3	the	the	DET
cana-3827	9	4	students	student	NOUN
cana-3827	9	5	'	'	PART
cana-3827	9	6	soft	soft	ADJ
cana-3827	9	7	,	,	PUNCT
cana-3827	9	8	life	life	NOUN
cana-3827	9	9	,	,	PUNCT
cana-3827	9	10	and	and	CCONJ
cana-3827	9	11	technical	technical	ADJ
cana-3827	9	12	skill	skill	NOUN
cana-3827	9	13	levels	level	NOUN
cana-3827	9	14	are	be	AUX
cana-3827	9	15	predicted	predict	VERB
cana-3827	9	16	using	use	VERB
cana-3827	9	17	the	the	DET
cana-3827	9	18	random	random	ADJ
cana-3827	9	19	forest	forest	NOUN
cana-3827	9	20	(	(	PUNCT
cana-3827	9	21	rf	rf	NOUN
cana-3827	9	22	)	)	PUNCT
cana-3827	9	23	method	method	NOUN
cana-3827	9	24	.	.	PUNCT
cana-3827	10	1	to	to	PART
cana-3827	10	2	enhance	enhance	VERB
cana-3827	10	3	the	the	DET
cana-3827	10	4	rf	rf	ADJ
cana-3827	10	5	model	model	NOUN
cana-3827	10	6	's	's	PART
cana-3827	10	7	effectiveness	effectiveness	NOUN
cana-3827	10	8	,	,	PUNCT
cana-3827	10	9	this	this	DET
cana-3827	10	10	research	research	NOUN
cana-3827	10	11	incorporates	incorporate	VERB
cana-3827	10	12	principal	principal	ADJ
cana-3827	10	13	component	component	NOUN
cana-3827	10	14	analysis	analysis	NOUN
cana-3827	10	15	(	(	PUNCT
cana-3827	10	16	pca	pca	NOUN
cana-3827	10	17	)	)	PUNCT
cana-3827	10	18	as	as	ADP
cana-3827	10	19	an	an	DET
cana-3827	10	20	additional	additional	ADJ
cana-3827	10	21	step	step	NOUN
cana-3827	10	22	.	.	PUNCT
cana-3827	11	1	pca	pca	PROPN
cana-3827	11	2	dissects	dissect	VERB
cana-3827	11	3	the	the	DET
cana-3827	11	4	input	input	NOUN
cana-3827	11	5	features	feature	NOUN
cana-3827	11	6	of	of	ADP
cana-3827	11	7	the	the	DET
cana-3827	11	8	highest	high	ADJ
cana-3827	11	9	quality	quality	NOUN
cana-3827	11	10	into	into	ADP
cana-3827	11	11	their	their	PRON
cana-3827	11	12	constituent	constituent	ADJ
cana-3827	11	13	elements	element	NOUN
cana-3827	11	14	.	.	PUNCT
cana-3827	12	1	accumulated	accumulate	VERB
cana-3827	12	2	local	local	ADJ
cana-3827	12	3	effects	effect	NOUN
cana-3827	12	4	(	(	PUNCT
cana-3827	12	5	ale	ale	NOUN
cana-3827	12	6	)	)	PUNCT
cana-3827	12	7	,	,	PUNCT
cana-3827	12	8	an	an	DET
cana-3827	12	9	explainable	explainable	ADJ
cana-3827	12	10	ai	ai	NOUN
cana-3827	12	11	approach	approach	NOUN
cana-3827	12	12	,	,	PUNCT
cana-3827	12	13	is	be	AUX
cana-3827	12	14	used	use	VERB
cana-3827	12	15	to	to	PART
cana-3827	12	16	determine	determine	VERB
cana-3827	12	17	which	which	PRON
cana-3827	12	18	factors	factor	VERB
cana-3827	12	19	influence	influence	NOUN
cana-3827	12	20	skill	skill	NOUN
cana-3827	12	21	set	set	VERB
cana-3827	12	22	predictions	prediction	NOUN
cana-3827	12	23	.	.	PUNCT
cana-3827	13	1	the	the	DET
cana-3827	13	2	suggested	suggest	VERB
cana-3827	13	3	classification	classification	NOUN
cana-3827	13	4	model	model	NOUN
cana-3827	13	5	is	be	AUX
cana-3827	13	6	assessed	assess	VERB
cana-3827	13	7	using	use	VERB
cana-3827	13	8	metrics	metric	NOUN
cana-3827	13	9	such	such	ADJ
cana-3827	13	10	as	as	ADP
cana-3827	13	11	accuracy	accuracy	NOUN
cana-3827	13	12	,	,	PUNCT
cana-3827	13	13	precision	precision	NOUN
cana-3827	13	14	,	,	PUNCT
cana-3827	13	15	recall	recall	NOUN
cana-3827	13	16	,	,	PUNCT
cana-3827	13	17	f1	f1	NOUN
cana-3827	13	18	score	score	NOUN
cana-3827	13	19	,	,	PUNCT
cana-3827	13	20	and	and	CCONJ
cana-3827	13	21	the	the	DET
cana-3827	13	22	auc	auc	NOUN
cana-3827	13	23	value	value	NOUN
cana-3827	13	24	.	.	PUNCT
cana-3827	14	1	results	result	NOUN
cana-3827	14	2	:	:	PUNCT
cana-3827	14	3	the	the	DET
cana-3827	14	4	modelling	model	VERB
cana-3827	14	5	outcomes	outcome	NOUN
cana-3827	14	6	show	show	VERB
cana-3827	14	7	that	that	SCONJ
cana-3827	14	8	the	the	DET
cana-3827	14	9	suggested	suggest	VERB
cana-3827	14	10	pca	pca	NOUN
cana-3827	14	11	-	-	PUNCT
cana-3827	14	12	based	base	VERB
cana-3827	14	13	random	random	ADJ
cana-3827	14	14	forest	forest	NOUN
cana-3827	14	15	model	model	NOUN
cana-3827	14	16	has	have	VERB
cana-3827	14	17	a	a	DET
cana-3827	14	18	higher	high	ADJ
cana-3827	14	19	prediction	prediction	NOUN
cana-3827	14	20	accuracy	accuracy	NOUN
cana-3827	14	21	of	of	ADP
cana-3827	14	22	86.5	86.5	NUM
cana-3827	14	23	%	%	NOUN
cana-3827	14	24	for	for	ADP
cana-3827	14	25	soft	soft	ADJ
cana-3827	14	26	skills	skill	NOUN
cana-3827	14	27	,	,	PUNCT
cana-3827	14	28	84.6	84.6	NUM
cana-3827	14	29	%	%	NOUN
cana-3827	14	30	for	for	ADP
cana-3827	14	31	life	life	NOUN
cana-3827	14	32	skills	skill	NOUN
cana-3827	14	33	,	,	PUNCT
cana-3827	14	34	and	and	CCONJ
cana-3827	14	35	87	87	NUM
cana-3827	14	36	%	%	NOUN
cana-3827	14	37	for	for	ADP
cana-3827	14	38	technical	technical	ADJ
cana-3827	14	39	skills	skill	NOUN
cana-3827	14	40	than	than	ADP
cana-3827	14	41	the	the	DET
cana-3827	14	42	standard	standard	ADJ
cana-3827	14	43	machine	machine	NOUN
cana-3827	14	44	learning	learning	NOUN
cana-3827	14	45	models	model	NOUN
cana-3827	14	46	used	use	VERB
cana-3827	14	47	for	for	ADP
cana-3827	14	48	comparisons	comparison	NOUN
cana-3827	14	49	.	.	PUNCT
cana-3827	15	1	conclusions	conclusion	NOUN
cana-3827	15	2	:	:	PUNCT
cana-3827	15	3	experimental	experimental	ADJ
cana-3827	15	4	results	result	NOUN
cana-3827	15	5	indicate	indicate	VERB
cana-3827	15	6	that	that	SCONJ
cana-3827	15	7	the	the	DET
cana-3827	15	8	random	random	ADJ
cana-3827	15	9	forest	forest	NOUN
cana-3827	15	10	model	model	NOUN
cana-3827	15	11	with	with	ADP
cana-3827	15	12	pca	pca	PROPN
cana-3827	15	13	demonstrates	demonstrate	VERB
cana-3827	15	14	significant	significant	ADJ
cana-3827	15	15	generalization	generalization	NOUN
cana-3827	15	16	capabilities	capability	NOUN
cana-3827	15	17	and	and	CCONJ
cana-3827	15	18	outperforms	outperform	VERB
cana-3827	15	19	baseline	baseline	ADJ
cana-3827	15	20	approaches	approach	NOUN
cana-3827	15	21	in	in	ADP
cana-3827	15	22	accurately	accurately	ADV
cana-3827	15	23	forecasting	forecast	VERB
cana-3827	15	24	computer	computer	NOUN
cana-3827	15	25	science	science	NOUN
cana-3827	15	26	students	student	NOUN
cana-3827	15	27	'	'	PART
cana-3827	15	28	software	software	NOUN
cana-3827	15	29	engineering	engineering	NOUN
cana-3827	15	30	talents	talent	NOUN
cana-3827	15	31	.	.	PUNCT
cana-3827	16	1	keywords	keyword	NOUN
cana-3827	16	2	:	:	PUNCT
cana-3827	16	3	skill	skill	NOUN
cana-3827	16	4	assessment	assessment	NOUN
cana-3827	16	5	,	,	PUNCT
cana-3827	16	6	software	software	NOUN
cana-3827	16	7	engineering	engineering	NOUN
cana-3827	16	8	,	,	PUNCT
cana-3827	16	9	principal	principal	ADJ
cana-3827	16	10	component	component	NOUN
cana-3827	16	11	analysis	analysis	NOUN
cana-3827	16	12	,	,	PUNCT
cana-3827	16	13	random	random	ADJ
cana-3827	16	14	forest	forest	NOUN
cana-3827	16	15	,	,	PUNCT
cana-3827	16	16	machine	machine	NOUN
cana-3827	16	17	learning	learning	NOUN
cana-3827	16	18	,	,	PUNCT
cana-3827	16	19	accumulated	accumulate	VERB
cana-3827	16	20	local	local	ADJ
cana-3827	16	21	effects	effect	NOUN
cana-3827	16	22	.	.	PUNCT
cana-3827	17	1	1	1	X
cana-3827	17	2	.	.	X
cana-3827	17	3	introduction	introduction	NOUN
cana-3827	17	4	in	in	ADP
cana-3827	17	5	the	the	DET
cana-3827	17	6	current	current	ADJ
cana-3827	17	7	era	era	NOUN
cana-3827	17	8	,	,	PUNCT
cana-3827	17	9	software	software	NOUN
cana-3827	17	10	permeates	permeate	VERB
cana-3827	17	11	nearly	nearly	ADV
cana-3827	17	12	every	every	PRON
cana-3827	17	13	aspect	aspect	NOUN
cana-3827	17	14	of	of	ADP
cana-3827	17	15	our	our	PRON
cana-3827	17	16	lives	life	NOUN
cana-3827	17	17	.	.	PUNCT
cana-3827	18	1	it	it	PRON
cana-3827	18	2	is	be	AUX
cana-3827	18	3	one	one	NUM
cana-3827	18	4	of	of	ADP
cana-3827	18	5	the	the	DET
cana-3827	18	6	most	most	ADV
cana-3827	18	7	notable	notable	ADJ
cana-3827	18	8	,	,	PUNCT
cana-3827	18	9	inspiring	inspiring	ADJ
cana-3827	18	10	,	,	PUNCT
cana-3827	18	11	and	and	CCONJ
cana-3827	18	12	challenging	challenging	ADJ
cana-3827	18	13	innovations	innovation	NOUN
cana-3827	18	14	of	of	ADP
cana-3827	18	15	modern	modern	ADJ
cana-3827	18	16	technology	technology	NOUN
cana-3827	18	17	[	[	X
cana-3827	18	18	1	1	NUM
cana-3827	18	19	]	]	PUNCT
cana-3827	18	20	.	.	PUNCT
cana-3827	19	1	however	however	ADV
cana-3827	19	2	,	,	PUNCT
cana-3827	19	3	the	the	DET
cana-3827	19	4	software	software	NOUN
cana-3827	19	5	industry	industry	NOUN
cana-3827	19	6	communications	communication	NOUN
cana-3827	19	7	on	on	ADP
cana-3827	19	8	applied	apply	VERB
cana-3827	19	9	nonlinear	nonlinear	ADJ
cana-3827	19	10	analysis	analysis	NOUN
cana-3827	19	11	issn	issn	NOUN
cana-3827	19	12	:	:	PUNCT
cana-3827	19	13	1074	1074	NUM
cana-3827	19	14	-	-	PUNCT
cana-3827	19	15	133x	133x	NUM
cana-3827	19	16	vol	vol	NOUN
cana-3827	19	17	32	32	NUM
cana-3827	19	18	no	no	NOUN
cana-3827	19	19	.	.	PUNCT
cana-3827	20	1	8s	8s	PROPN
cana-3827	20	2	(	(	PUNCT
cana-3827	20	3	2025	2025	NUM
cana-3827	20	4	)	)	PUNCT
cana-3827	20	5	848	848	NUM
cana-3827	20	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3827	20	7	continues	continue	VERB
cana-3827	20	8	to	to	PART
cana-3827	20	9	experience	experience	VERB
cana-3827	20	10	high	high	ADJ
cana-3827	20	11	rates	rate	NOUN
cana-3827	20	12	of	of	ADP
cana-3827	20	13	project	project	NOUN
cana-3827	20	14	failure	failure	NOUN
cana-3827	20	15	.	.	PUNCT
cana-3827	21	1	one	one	NUM
cana-3827	21	2	primary	primary	ADJ
cana-3827	21	3	reason	reason	NOUN
cana-3827	21	4	is	be	AUX
cana-3827	21	5	the	the	DET
cana-3827	21	6	disconnect	disconnect	NOUN
cana-3827	21	7	between	between	ADP
cana-3827	21	8	academic	academic	ADJ
cana-3827	21	9	training	training	NOUN
cana-3827	21	10	and	and	CCONJ
cana-3827	21	11	industry	industry	NOUN
cana-3827	21	12	requirements	requirement	NOUN
cana-3827	21	13	.	.	PUNCT
cana-3827	22	1	the	the	DET
cana-3827	22	2	business	business	NOUN
cana-3827	22	3	sector	sector	NOUN
cana-3827	22	4	frequently	frequently	ADV
cana-3827	22	5	asserts	assert	VERB
cana-3827	22	6	that	that	SCONJ
cana-3827	22	7	software	software	NOUN
cana-3827	22	8	engineering	engineering	NOUN
cana-3827	22	9	graduates	graduate	NOUN
cana-3827	22	10	are	be	AUX
cana-3827	22	11	ill	ill	ADV
cana-3827	22	12	-	-	PUNCT
cana-3827	22	13	prepared	prepared	ADJ
cana-3827	22	14	to	to	PART
cana-3827	22	15	meet	meet	VERB
cana-3827	22	16	the	the	DET
cana-3827	22	17	demands	demand	NOUN
cana-3827	22	18	of	of	ADP
cana-3827	22	19	the	the	DET
cana-3827	22	20	industry	industry	NOUN
cana-3827	22	21	.	.	PUNCT
cana-3827	23	1	this	this	PRON
cana-3827	23	2	is	be	AUX
cana-3827	23	3	often	often	ADV
cana-3827	23	4	due	due	ADJ
cana-3827	23	5	to	to	ADP
cana-3827	23	6	inadequate	inadequate	ADJ
cana-3827	23	7	skills	skill	NOUN
cana-3827	23	8	and	and	CCONJ
cana-3827	23	9	knowledge	knowledge	NOUN
cana-3827	23	10	,	,	PUNCT
cana-3827	23	11	as	as	ADV
cana-3827	23	12	well	well	ADV
cana-3827	23	13	as	as	ADP
cana-3827	23	14	educational	educational	ADJ
cana-3827	23	15	methodologies	methodology	NOUN
cana-3827	23	16	that	that	PRON
cana-3827	23	17	fail	fail	VERB
cana-3827	23	18	to	to	PART
cana-3827	23	19	emphasize	emphasize	VERB
cana-3827	23	20	experiential	experiential	ADJ
cana-3827	23	21	learning	learning	NOUN
cana-3827	23	22	.	.	PUNCT
cana-3827	24	1	consequently	consequently	ADV
cana-3827	24	2	,	,	PUNCT
cana-3827	24	3	bridging	bridge	VERB
cana-3827	24	4	this	this	DET
cana-3827	24	5	gap	gap	NOUN
cana-3827	24	6	between	between	ADP
cana-3827	24	7	academia	academia	NOUN
cana-3827	24	8	and	and	CCONJ
cana-3827	24	9	the	the	DET
cana-3827	24	10	it	it	PRON
cana-3827	24	11	industry	industry	NOUN
cana-3827	24	12	has	have	AUX
cana-3827	24	13	become	become	VERB
cana-3827	24	14	a	a	DET
cana-3827	24	15	critical	critical	ADJ
cana-3827	24	16	focus	focus	NOUN
cana-3827	24	17	.	.	PUNCT
cana-3827	25	1	skills	skill	NOUN
cana-3827	25	2	development	development	NOUN
cana-3827	25	3	involves	involve	VERB
cana-3827	25	4	identifying	identify	VERB
cana-3827	25	5	skill	skill	NOUN
cana-3827	25	6	gaps	gap	NOUN
cana-3827	25	7	in	in	ADP
cana-3827	25	8	students	student	NOUN
cana-3827	25	9	and	and	CCONJ
cana-3827	25	10	providing	provide	VERB
cana-3827	25	11	training	training	NOUN
cana-3827	25	12	to	to	PART
cana-3827	25	13	bridge	bridge	VERB
cana-3827	25	14	those	those	DET
cana-3827	25	15	gaps	gap	NOUN
cana-3827	25	16	,	,	PUNCT
cana-3827	25	17	ultimately	ultimately	ADV
cana-3827	25	18	enabling	enable	VERB
cana-3827	25	19	employment	employment	NOUN
cana-3827	25	20	.	.	PUNCT
cana-3827	26	1	it	it	PRON
cana-3827	26	2	plays	play	VERB
cana-3827	26	3	a	a	DET
cana-3827	26	4	pivotal	pivotal	ADJ
cana-3827	26	5	role	role	NOUN
cana-3827	26	6	in	in	ADP
cana-3827	26	7	career	career	NOUN
cana-3827	26	8	success	success	NOUN
cana-3827	26	9	.	.	PUNCT
cana-3827	27	1	while	while	SCONJ
cana-3827	27	2	experts	expert	NOUN
cana-3827	27	3	emphasize	emphasize	VERB
cana-3827	27	4	the	the	DET
cana-3827	27	5	need	need	NOUN
cana-3827	27	6	to	to	PART
cana-3827	27	7	develop	develop	VERB
cana-3827	27	8	students	student	NOUN
cana-3827	27	9	'	'	PART
cana-3827	27	10	skills	skill	NOUN
cana-3827	27	11	from	from	ADP
cana-3827	27	12	the	the	DET
cana-3827	27	13	beginning	beginning	NOUN
cana-3827	27	14	of	of	ADP
cana-3827	27	15	their	their	PRON
cana-3827	27	16	college	college	NOUN
cana-3827	27	17	journey	journey	NOUN
cana-3827	27	18	,	,	PUNCT
cana-3827	27	19	they	they	PRON
cana-3827	27	20	often	often	ADV
cana-3827	27	21	assume	assume	VERB
cana-3827	27	22	students	student	NOUN
cana-3827	27	23	will	will	AUX
cana-3827	27	24	acquire	acquire	VERB
cana-3827	27	25	these	these	DET
cana-3827	27	26	skills	skill	NOUN
cana-3827	27	27	on	on	ADP
cana-3827	27	28	their	their	PRON
cana-3827	27	29	own	own	ADJ
cana-3827	27	30	.	.	PUNCT
cana-3827	28	1	in	in	ADP
cana-3827	28	2	reality	reality	NOUN
cana-3827	28	3	,	,	PUNCT
cana-3827	28	4	achieving	achieve	VERB
cana-3827	28	5	competency	competency	NOUN
cana-3827	28	6	in	in	ADP
cana-3827	28	7	specific	specific	ADJ
cana-3827	28	8	skills	skill	NOUN
cana-3827	28	9	,	,	PUNCT
cana-3827	28	10	whether	whether	SCONJ
cana-3827	28	11	technical	technical	ADJ
cana-3827	28	12	,	,	PUNCT
cana-3827	28	13	soft	soft	ADJ
cana-3827	28	14	,	,	PUNCT
cana-3827	28	15	or	or	CCONJ
cana-3827	28	16	life	life	NOUN
cana-3827	28	17	skills	skill	NOUN
cana-3827	28	18	,	,	PUNCT
cana-3827	28	19	requires	require	VERB
cana-3827	28	20	deliberate	deliberate	ADJ
cana-3827	28	21	effort	effort	NOUN
cana-3827	28	22	and	and	CCONJ
cana-3827	28	23	structured	structured	ADJ
cana-3827	28	24	training	training	NOUN
cana-3827	28	25	.	.	PUNCT
cana-3827	29	1	individuals	individual	NOUN
cana-3827	29	2	engaged	engage	VERB
cana-3827	29	3	in	in	ADP
cana-3827	29	4	software	software	NOUN
cana-3827	29	5	development	development	NOUN
cana-3827	29	6	projects	project	NOUN
cana-3827	29	7	need	need	VERB
cana-3827	29	8	three	three	NUM
cana-3827	29	9	primary	primary	ADJ
cana-3827	29	10	skill	skill	NOUN
cana-3827	29	11	sets	set	VERB
cana-3827	29	12	:	:	PUNCT
cana-3827	29	13	soft	soft	ADJ
cana-3827	29	14	skills	skill	NOUN
cana-3827	29	15	,	,	PUNCT
cana-3827	29	16	life	life	NOUN
cana-3827	29	17	skills	skill	NOUN
cana-3827	29	18	,	,	PUNCT
cana-3827	29	19	and	and	CCONJ
cana-3827	29	20	technical	technical	ADJ
cana-3827	29	21	skills	skill	NOUN
cana-3827	29	22	.	.	PUNCT
cana-3827	30	1	while	while	SCONJ
cana-3827	30	2	technical	technical	ADJ
cana-3827	30	3	and	and	CCONJ
cana-3827	30	4	soft	soft	ADJ
cana-3827	30	5	skills	skill	NOUN
cana-3827	30	6	are	be	AUX
cana-3827	30	7	distinct	distinct	ADJ
cana-3827	30	8	,	,	PUNCT
cana-3827	30	9	soft	soft	ADJ
cana-3827	30	10	skills	skill	NOUN
cana-3827	30	11	have	have	AUX
cana-3827	30	12	been	be	AUX
cana-3827	30	13	shown	show	VERB
cana-3827	30	14	to	to	PART
cana-3827	30	15	be	be	AUX
cana-3827	30	16	critical	critical	ADJ
cana-3827	30	17	for	for	ADP
cana-3827	30	18	project	project	NOUN
cana-3827	30	19	success	success	NOUN
cana-3827	31	1	[	[	X
cana-3827	31	2	2	2	NUM
cana-3827	31	3	]	]	PUNCT
cana-3827	31	4	.	.	PUNCT
cana-3827	32	1	these	these	PRON
cana-3827	32	2	include	include	VERB
cana-3827	32	3	teamwork	teamwork	NOUN
cana-3827	32	4	,	,	PUNCT
cana-3827	32	5	leadership	leadership	NOUN
cana-3827	32	6	,	,	PUNCT
cana-3827	32	7	organizational	organizational	ADJ
cana-3827	32	8	effectiveness	effectiveness	NOUN
cana-3827	32	9	,	,	PUNCT
cana-3827	32	10	problem	problem	NOUN
cana-3827	32	11	-	-	PUNCT
cana-3827	32	12	solving	solving	NOUN
cana-3827	32	13	,	,	PUNCT
cana-3827	32	14	and	and	CCONJ
cana-3827	32	15	decision	decision	NOUN
cana-3827	32	16	-	-	PUNCT
cana-3827	32	17	making	making	NOUN
cana-3827	32	18	[	[	X
cana-3827	32	19	3	3	NUM
cana-3827	32	20	]	]	PUNCT
cana-3827	32	21	.	.	PUNCT
cana-3827	33	1	life	life	NOUN
cana-3827	33	2	skills	skill	NOUN
cana-3827	33	3	,	,	PUNCT
cana-3827	33	4	such	such	ADJ
cana-3827	33	5	as	as	ADP
cana-3827	33	6	the	the	DET
cana-3827	33	7	ability	ability	NOUN
cana-3827	33	8	to	to	PART
cana-3827	33	9	collaborate	collaborate	VERB
cana-3827	33	10	effectively	effectively	ADV
cana-3827	33	11	within	within	ADP
cana-3827	33	12	a	a	DET
cana-3827	33	13	team	team	NOUN
cana-3827	33	14	,	,	PUNCT
cana-3827	33	15	further	far	ADV
cana-3827	33	16	support	support	VERB
cana-3827	33	17	these	these	DET
cana-3827	33	18	efforts	effort	NOUN
cana-3827	33	19	[	[	X
cana-3827	33	20	4	4	NUM
cana-3827	33	21	]	]	PUNCT
cana-3827	33	22	.	.	PUNCT
cana-3827	34	1	meanwhile	meanwhile	ADV
cana-3827	34	2	,	,	PUNCT
cana-3827	34	3	technical	technical	ADJ
cana-3827	34	4	skills	skill	NOUN
cana-3827	34	5	,	,	PUNCT
cana-3827	34	6	rooted	root	VERB
cana-3827	34	7	in	in	ADP
cana-3827	34	8	specific	specific	ADJ
cana-3827	34	9	domains	domain	NOUN
cana-3827	34	10	,	,	PUNCT
cana-3827	34	11	involve	involve	VERB
cana-3827	34	12	the	the	DET
cana-3827	34	13	application	application	NOUN
cana-3827	34	14	of	of	ADP
cana-3827	34	15	tools	tool	NOUN
cana-3827	34	16	,	,	PUNCT
cana-3827	34	17	techniques	technique	NOUN
cana-3827	34	18	,	,	PUNCT
cana-3827	34	19	and	and	CCONJ
cana-3827	34	20	methods	method	NOUN
cana-3827	34	21	to	to	PART
cana-3827	34	22	accomplish	accomplish	VERB
cana-3827	34	23	tasks	task	NOUN
cana-3827	34	24	[	[	X
cana-3827	34	25	2	2	NUM
cana-3827	34	26	]	]	PUNCT
cana-3827	34	27	.	.	PUNCT
cana-3827	35	1	a	a	DET
cana-3827	35	2	skill	skill	NOUN
cana-3827	35	3	-	-	PUNCT
cana-3827	35	4	based	base	VERB
cana-3827	35	5	education	education	NOUN
cana-3827	35	6	system	system	NOUN
cana-3827	35	7	ensures	ensure	VERB
cana-3827	35	8	that	that	SCONJ
cana-3827	35	9	students	student	NOUN
cana-3827	35	10	acquire	acquire	VERB
cana-3827	35	11	not	not	PART
cana-3827	35	12	only	only	ADV
cana-3827	35	13	theoretical	theoretical	ADJ
cana-3827	35	14	knowledge	knowledge	NOUN
cana-3827	35	15	but	but	CCONJ
cana-3827	35	16	also	also	ADV
cana-3827	35	17	essential	essential	ADJ
cana-3827	35	18	soft	soft	ADJ
cana-3827	35	19	and	and	CCONJ
cana-3827	35	20	life	life	NOUN
cana-3827	35	21	skills	skill	NOUN
cana-3827	35	22	.	.	PUNCT
cana-3827	36	1	for	for	ADP
cana-3827	36	2	individuals	individual	NOUN
cana-3827	36	3	entering	enter	VERB
cana-3827	36	4	the	the	DET
cana-3827	36	5	it	it	NOUN
cana-3827	36	6	industry	industry	NOUN
cana-3827	36	7	,	,	PUNCT
cana-3827	36	8	analytical	analytical	ADJ
cana-3827	36	9	thinking	thinking	NOUN
cana-3827	36	10	,	,	PUNCT
cana-3827	36	11	problemsolving	problemsolve	VERB
cana-3827	36	12	abilities	ability	NOUN
cana-3827	36	13	,	,	PUNCT
cana-3827	36	14	programming	programming	NOUN
cana-3827	36	15	proficiency	proficiency	NOUN
cana-3827	36	16	,	,	PUNCT
cana-3827	36	17	subject	subject	ADJ
cana-3827	36	18	knowledge	knowledge	NOUN
cana-3827	36	19	,	,	PUNCT
cana-3827	36	20	interpersonal	interpersonal	ADJ
cana-3827	36	21	and	and	CCONJ
cana-3827	36	22	cognitive	cognitive	ADJ
cana-3827	36	23	skills	skill	NOUN
cana-3827	36	24	,	,	PUNCT
cana-3827	36	25	and	and	CCONJ
cana-3827	36	26	effective	effective	ADJ
cana-3827	36	27	communication	communication	NOUN
cana-3827	36	28	are	be	AUX
cana-3827	36	29	indispensable	indispensable	ADJ
cana-3827	36	30	.	.	PUNCT
cana-3827	37	1	teaching	teach	VERB
cana-3827	37	2	software	software	NOUN
cana-3827	37	3	engineering	engineering	NOUN
cana-3827	37	4	presents	present	NOUN
cana-3827	37	5	challenges	challenge	NOUN
cana-3827	37	6	,	,	PUNCT
cana-3827	37	7	particularly	particularly	ADV
cana-3827	37	8	when	when	SCONJ
cana-3827	37	9	students	student	NOUN
cana-3827	37	10	fail	fail	VERB
cana-3827	37	11	to	to	PART
cana-3827	37	12	see	see	VERB
cana-3827	37	13	the	the	DET
cana-3827	37	14	practical	practical	ADJ
cana-3827	37	15	relevance	relevance	NOUN
cana-3827	37	16	of	of	ADP
cana-3827	37	17	their	their	PRON
cana-3827	37	18	studies	study	NOUN
cana-3827	37	19	.	.	PUNCT
cana-3827	38	1	therefore	therefore	ADV
cana-3827	38	2	,	,	PUNCT
cana-3827	38	3	fostering	foster	VERB
cana-3827	38	4	technical	technical	ADJ
cana-3827	38	5	and	and	CCONJ
cana-3827	38	6	transversal	transversal	ADJ
cana-3827	38	7	abilities	ability	NOUN
cana-3827	38	8	within	within	ADP
cana-3827	38	9	the	the	DET
cana-3827	38	10	computer	computer	NOUN
cana-3827	38	11	science	science	NOUN
cana-3827	38	12	curriculum	curriculum	NOUN
cana-3827	38	13	is	be	AUX
cana-3827	38	14	essential	essential	ADJ
cana-3827	38	15	to	to	PART
cana-3827	38	16	motivate	motivate	VERB
cana-3827	38	17	and	and	CCONJ
cana-3827	38	18	prepare	prepare	VERB
cana-3827	38	19	students	student	NOUN
cana-3827	38	20	.	.	PUNCT
cana-3827	39	1	this	this	DET
cana-3827	39	2	research	research	NOUN
cana-3827	39	3	focuses	focus	VERB
cana-3827	39	4	on	on	ADP
cana-3827	39	5	identifying	identify	VERB
cana-3827	39	6	students	student	NOUN
cana-3827	39	7	'	'	PART
cana-3827	39	8	skill	skill	NOUN
cana-3827	39	9	sets	set	NOUN
cana-3827	39	10	,	,	PUNCT
cana-3827	39	11	which	which	PRON
cana-3827	39	12	contributes	contribute	VERB
cana-3827	39	13	to	to	ADP
cana-3827	39	14	their	their	PRON
cana-3827	39	15	motivation	motivation	NOUN
cana-3827	39	16	and	and	CCONJ
cana-3827	39	17	career	career	NOUN
cana-3827	39	18	readiness	readiness	NOUN
cana-3827	39	19	.	.	PUNCT
cana-3827	40	1	it	it	PRON
cana-3827	40	2	evaluates	evaluate	VERB
cana-3827	40	3	their	their	PRON
cana-3827	40	4	understanding	understanding	NOUN
cana-3827	40	5	of	of	ADP
cana-3827	40	6	project	project	NOUN
cana-3827	40	7	management	management	NOUN
cana-3827	40	8	techniques	technique	NOUN
cana-3827	40	9	and	and	CCONJ
cana-3827	40	10	their	their	PRON
cana-3827	40	11	applications	application	NOUN
cana-3827	40	12	.	.	PUNCT
cana-3827	41	1	additionally	additionally	ADV
cana-3827	41	2	,	,	PUNCT
cana-3827	41	3	it	it	PRON
cana-3827	41	4	aims	aim	VERB
cana-3827	41	5	to	to	PART
cana-3827	41	6	train	train	VERB
cana-3827	41	7	students	student	NOUN
cana-3827	41	8	to	to	PART
cana-3827	41	9	enhance	enhance	VERB
cana-3827	41	10	their	their	PRON
cana-3827	41	11	skills	skill	NOUN
cana-3827	41	12	for	for	ADP
cana-3827	41	13	successful	successful	ADJ
cana-3827	41	14	careers	career	NOUN
cana-3827	41	15	.	.	PUNCT
cana-3827	42	1	machine	machine	NOUN
cana-3827	42	2	learning	learn	VERB
cana-3827	42	3	methods	method	NOUN
cana-3827	42	4	offer	offer	VERB
cana-3827	42	5	promising	promise	VERB
cana-3827	42	6	solutions	solution	NOUN
cana-3827	42	7	for	for	ADP
cana-3827	42	8	accurately	accurately	ADV
cana-3827	42	9	predicting	predict	VERB
cana-3827	42	10	students	student	NOUN
cana-3827	42	11	'	'	PART
cana-3827	42	12	skill	skill	NOUN
cana-3827	42	13	sets	set	NOUN
cana-3827	42	14	.	.	PUNCT
cana-3827	43	1	these	these	DET
cana-3827	43	2	methods	method	NOUN
cana-3827	43	3	deploy	deploy	VERB
cana-3827	43	4	impactful	impactful	ADJ
cana-3827	43	5	algorithms	algorithm	NOUN
cana-3827	43	6	to	to	PART
cana-3827	43	7	predict	predict	VERB
cana-3827	43	8	skills	skill	NOUN
cana-3827	43	9	,	,	PUNCT
cana-3827	43	10	ensuring	ensure	VERB
cana-3827	43	11	higher	high	ADJ
cana-3827	43	12	-	-	PUNCT
cana-3827	43	13	quality	quality	NOUN
cana-3827	43	14	training	training	NOUN
cana-3827	43	15	in	in	ADP
cana-3827	43	16	software	software	NOUN
cana-3827	43	17	development	development	NOUN
cana-3827	43	18	courses	course	NOUN
cana-3827	43	19	and	and	CCONJ
cana-3827	43	20	preparing	prepare	VERB
cana-3827	43	21	students	student	NOUN
cana-3827	43	22	for	for	ADP
cana-3827	43	23	successful	successful	ADJ
cana-3827	43	24	careers	career	NOUN
cana-3827	43	25	.	.	PUNCT
cana-3827	44	1	by	by	ADP
cana-3827	44	2	addressing	address	VERB
cana-3827	44	3	the	the	DET
cana-3827	44	4	gap	gap	NOUN
cana-3827	44	5	between	between	ADP
cana-3827	44	6	the	the	DET
cana-3827	44	7	it	it	PRON
cana-3827	44	8	sector	sector	NOUN
cana-3827	44	9	and	and	CCONJ
cana-3827	44	10	academia	academia	NOUN
cana-3827	44	11	,	,	PUNCT
cana-3827	44	12	such	such	ADJ
cana-3827	44	13	approaches	approach	NOUN
cana-3827	44	14	can	can	AUX
cana-3827	44	15	improve	improve	VERB
cana-3827	44	16	software	software	NOUN
cana-3827	44	17	project	project	NOUN
cana-3827	44	18	success	success	NOUN
cana-3827	44	19	rates	rate	NOUN
cana-3827	44	20	.	.	PUNCT
cana-3827	45	1	feature	feature	NOUN
cana-3827	45	2	extraction	extraction	NOUN
cana-3827	45	3	plays	play	VERB
cana-3827	45	4	a	a	DET
cana-3827	45	5	crucial	crucial	ADJ
cana-3827	45	6	role	role	NOUN
cana-3827	45	7	in	in	ADP
cana-3827	45	8	improving	improve	VERB
cana-3827	45	9	the	the	DET
cana-3827	45	10	predictive	predictive	ADJ
cana-3827	45	11	accuracy	accuracy	NOUN
cana-3827	45	12	of	of	ADP
cana-3827	45	13	machine	machine	NOUN
cana-3827	45	14	learning	learning	NOUN
cana-3827	45	15	models	model	NOUN
cana-3827	45	16	.	.	PUNCT
cana-3827	46	1	this	this	DET
cana-3827	46	2	study	study	NOUN
cana-3827	46	3	employs	employ	VERB
cana-3827	46	4	a	a	DET
cana-3827	46	5	pca	pca	NOUN
cana-3827	46	6	-	-	PUNCT
cana-3827	46	7	based	base	VERB
cana-3827	46	8	rf	rf	NOUN
cana-3827	46	9	algorithm	algorithm	NOUN
cana-3827	46	10	to	to	PART
cana-3827	46	11	forecast	forecast	VERB
cana-3827	46	12	the	the	DET
cana-3827	46	13	skill	skill	NOUN
cana-3827	46	14	sets	set	NOUN
cana-3827	46	15	of	of	ADP
cana-3827	46	16	software	software	NOUN
cana-3827	46	17	engineering	engineering	NOUN
cana-3827	46	18	students	student	NOUN
cana-3827	46	19	.	.	PUNCT
cana-3827	47	1	principal	principal	ADJ
cana-3827	47	2	component	component	NOUN
cana-3827	47	3	analysis	analysis	NOUN
cana-3827	47	4	(	(	PUNCT
cana-3827	47	5	pca	pca	NOUN
cana-3827	47	6	)	)	PUNCT
cana-3827	47	7	extracts	extract	VERB
cana-3827	47	8	high	high	ADJ
cana-3827	47	9	-	-	PUNCT
cana-3827	47	10	quality	quality	NOUN
cana-3827	47	11	features	feature	NOUN
cana-3827	47	12	,	,	PUNCT
cana-3827	47	13	while	while	SCONJ
cana-3827	47	14	the	the	DET
cana-3827	47	15	random	random	ADJ
cana-3827	47	16	forest	forest	NOUN
cana-3827	47	17	(	(	PUNCT
cana-3827	47	18	rf	rf	NOUN
cana-3827	47	19	)	)	PUNCT
cana-3827	47	20	algorithm	algorithm	NOUN
cana-3827	47	21	predicts	predict	VERB
cana-3827	47	22	potential	potential	ADJ
cana-3827	47	23	skill	skill	NOUN
cana-3827	47	24	sets	set	NOUN
cana-3827	47	25	.	.	PUNCT
cana-3827	48	1	the	the	DET
cana-3827	48	2	highlights	highlight	NOUN
cana-3827	48	3	of	of	ADP
cana-3827	48	4	this	this	DET
cana-3827	48	5	paper	paper	NOUN
cana-3827	48	6	are	be	AUX
cana-3827	48	7	as	as	SCONJ
cana-3827	48	8	follows	follow	VERB
cana-3827	48	9	:	:	PUNCT
cana-3827	48	10	•	•	NUM
cana-3827	48	11	pca	pca	NOUN
cana-3827	48	12	-	-	PUNCT
cana-3827	48	13	based	base	VERB
cana-3827	48	14	rf	rf	NOUN
cana-3827	48	15	algorithm	algorithm	NOUN
cana-3827	48	16	to	to	PART
cana-3827	48	17	predict	predict	VERB
cana-3827	48	18	various	various	ADJ
cana-3827	48	19	skill	skill	NOUN
cana-3827	48	20	sets	set	NOUN
cana-3827	48	21	of	of	ADP
cana-3827	48	22	software	software	NOUN
cana-3827	48	23	engineering	engineering	NOUN
cana-3827	48	24	students	student	NOUN
cana-3827	48	25	,	,	PUNCT
cana-3827	48	26	namely	namely	ADV
cana-3827	48	27	,	,	PUNCT
cana-3827	48	28	soft	soft	ADJ
cana-3827	48	29	skills	skill	NOUN
cana-3827	48	30	,	,	PUNCT
cana-3827	48	31	life	life	NOUN
cana-3827	48	32	skills	skill	NOUN
cana-3827	48	33	,	,	PUNCT
cana-3827	48	34	and	and	CCONJ
cana-3827	48	35	technical	technical	ADJ
cana-3827	48	36	skills	skill	NOUN
cana-3827	48	37	.	.	PUNCT
cana-3827	49	1	•	•	NUM
cana-3827	49	2	pca	pca	PROPN
cana-3827	49	3	is	be	AUX
cana-3827	49	4	utilized	utilize	VERB
cana-3827	49	5	to	to	PART
cana-3827	49	6	extract	extract	VERB
cana-3827	49	7	high	high	ADJ
cana-3827	49	8	-	-	PUNCT
cana-3827	49	9	quality	quality	NOUN
cana-3827	49	10	and	and	CCONJ
cana-3827	49	11	relevant	relevant	ADJ
cana-3827	49	12	features	feature	NOUN
cana-3827	49	13	.	.	PUNCT
cana-3827	50	1	•	•	NUM
cana-3827	50	2	random	random	ADJ
cana-3827	50	3	forest	forest	NOUN
cana-3827	50	4	algorithm	algorithm	NOUN
cana-3827	50	5	is	be	AUX
cana-3827	50	6	employed	employ	VERB
cana-3827	50	7	for	for	ADP
cana-3827	50	8	skill	skill	NOUN
cana-3827	50	9	set	set	VERB
cana-3827	50	10	prediction	prediction	NOUN
cana-3827	50	11	.	.	PUNCT
cana-3827	51	1	•	•	NUM
cana-3827	51	2	a	a	DET
cana-3827	51	3	customized	customize	VERB
cana-3827	51	4	dataset	dataset	NOUN
cana-3827	51	5	is	be	AUX
cana-3827	51	6	used	use	VERB
cana-3827	51	7	.	.	PUNCT
cana-3827	52	1	communications	communication	NOUN
cana-3827	52	2	on	on	ADP
cana-3827	52	3	applied	apply	VERB
cana-3827	52	4	nonlinear	nonlinear	ADJ
cana-3827	52	5	analysis	analysis	NOUN
cana-3827	52	6	issn	issn	NOUN
cana-3827	52	7	:	:	PUNCT
cana-3827	52	8	1074	1074	NUM
cana-3827	52	9	-	-	PUNCT
cana-3827	52	10	133x	133x	NUM
cana-3827	52	11	vol	vol	NOUN
cana-3827	52	12	32	32	NUM
cana-3827	52	13	no	no	NOUN
cana-3827	52	14	.	.	PUNCT
cana-3827	53	1	8s	8s	PROPN
cana-3827	53	2	(	(	PUNCT
cana-3827	53	3	2025	2025	NUM
cana-3827	53	4	)	)	PUNCT
cana-3827	53	5	849	849	NUM
cana-3827	53	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3827	53	7	•	•	ADP
cana-3827	53	8	the	the	DET
cana-3827	53	9	proposed	propose	VERB
cana-3827	53	10	pca	pca	NOUN
cana-3827	53	11	-	-	PUNCT
cana-3827	53	12	based	base	VERB
cana-3827	53	13	rf	rf	NOUN
cana-3827	53	14	model	model	NOUN
cana-3827	53	15	is	be	AUX
cana-3827	53	16	evaluated	evaluate	VERB
cana-3827	53	17	using	use	VERB
cana-3827	53	18	various	various	ADJ
cana-3827	53	19	metrics	metric	NOUN
cana-3827	53	20	.	.	PUNCT
cana-3827	54	1	•	•	NUM
cana-3827	54	2	the	the	DET
cana-3827	54	3	explainable	explainable	ADJ
cana-3827	54	4	ai	ai	NOUN
cana-3827	54	5	technique	technique	NOUN
cana-3827	54	6	,	,	PUNCT
cana-3827	54	7	accumulated	accumulate	VERB
cana-3827	54	8	local	local	ADJ
cana-3827	54	9	effects	effect	NOUN
cana-3827	54	10	(	(	PUNCT
cana-3827	54	11	ale	ale	NOUN
cana-3827	54	12	)	)	PUNCT
cana-3827	54	13	,	,	PUNCT
cana-3827	54	14	is	be	AUX
cana-3827	54	15	employed	employ	VERB
cana-3827	54	16	to	to	PART
cana-3827	54	17	identify	identify	VERB
cana-3827	54	18	the	the	DET
cana-3827	54	19	features	feature	NOUN
cana-3827	54	20	contributing	contribute	VERB
cana-3827	54	21	to	to	PART
cana-3827	54	22	skill	skill	VERB
cana-3827	54	23	set	set	VERB
cana-3827	54	24	predictions	prediction	NOUN
cana-3827	54	25	.	.	PUNCT
cana-3827	55	1	the	the	DET
cana-3827	55	2	structure	structure	NOUN
cana-3827	55	3	of	of	ADP
cana-3827	55	4	the	the	DET
cana-3827	55	5	paper	paper	NOUN
cana-3827	55	6	is	be	AUX
cana-3827	55	7	organized	organize	VERB
cana-3827	55	8	as	as	SCONJ
cana-3827	55	9	follows	follow	VERB
cana-3827	55	10	:	:	PUNCT
cana-3827	55	11	section	section	NOUN
cana-3827	55	12	1	1	NUM
cana-3827	55	13	introduces	introduce	VERB
cana-3827	55	14	the	the	DET
cana-3827	55	15	methods	method	NOUN
cana-3827	55	16	and	and	CCONJ
cana-3827	55	17	strategies	strategy	NOUN
cana-3827	55	18	for	for	ADP
cana-3827	55	19	predicting	predict	VERB
cana-3827	55	20	students	student	NOUN
cana-3827	55	21	'	'	PART
cana-3827	55	22	skill	skill	NOUN
cana-3827	55	23	sets	set	NOUN
cana-3827	55	24	.	.	PUNCT
cana-3827	56	1	section	section	NOUN
cana-3827	56	2	2	2	NUM
cana-3827	56	3	discusses	discuss	VERB
cana-3827	56	4	the	the	DET
cana-3827	56	5	study	study	NOUN
cana-3827	56	6	's	's	PART
cana-3827	56	7	motivation	motivation	NOUN
cana-3827	56	8	.	.	PUNCT
cana-3827	57	1	section	section	NOUN
cana-3827	57	2	3	3	NUM
cana-3827	57	3	reviews	review	NOUN
cana-3827	57	4	related	relate	VERB
cana-3827	57	5	work	work	NOUN
cana-3827	57	6	.	.	PUNCT
cana-3827	58	1	section	section	NOUN
cana-3827	58	2	4	4	NUM
cana-3827	58	3	describes	describe	VERB
cana-3827	58	4	the	the	DET
cana-3827	58	5	datasets	dataset	NOUN
cana-3827	58	6	,	,	PUNCT
cana-3827	58	7	while	while	SCONJ
cana-3827	58	8	section	section	NOUN
cana-3827	58	9	5	5	NUM
cana-3827	58	10	explains	explain	VERB
cana-3827	58	11	the	the	DET
cana-3827	58	12	proposed	propose	VERB
cana-3827	58	13	methodology	methodology	NOUN
cana-3827	58	14	.	.	PUNCT
cana-3827	59	1	section	section	NOUN
cana-3827	59	2	6	6	NUM
cana-3827	59	3	presents	present	VERB
cana-3827	59	4	the	the	DET
cana-3827	59	5	findings	finding	NOUN
cana-3827	59	6	.	.	PUNCT
cana-3827	60	1	finally	finally	ADV
cana-3827	60	2	,	,	PUNCT
cana-3827	60	3	section	section	NOUN
cana-3827	60	4	7	7	NUM
cana-3827	60	5	concludes	conclude	VERB
cana-3827	60	6	the	the	DET
cana-3827	60	7	study	study	NOUN
cana-3827	60	8	with	with	ADP
cana-3827	60	9	key	key	ADJ
cana-3827	60	10	findings	finding	NOUN
cana-3827	60	11	and	and	CCONJ
cana-3827	60	12	recommendations	recommendation	NOUN
cana-3827	60	13	for	for	ADP
cana-3827	60	14	future	future	ADJ
cana-3827	60	15	research	research	NOUN
cana-3827	60	16	.	.	PUNCT
cana-3827	61	1	2	2	X
cana-3827	61	2	.	.	X
cana-3827	61	3	motivation	motivation	NOUN
cana-3827	61	4	according	accord	VERB
cana-3827	61	5	to	to	ADP
cana-3827	61	6	industry	industry	NOUN
cana-3827	61	7	perspectives	perspective	NOUN
cana-3827	61	8	,	,	PUNCT
cana-3827	61	9	graduates	graduate	NOUN
cana-3827	61	10	with	with	ADP
cana-3827	61	11	software	software	NOUN
cana-3827	61	12	engineering	engineering	NOUN
cana-3827	61	13	degrees	degree	NOUN
cana-3827	61	14	often	often	ADV
cana-3827	61	15	fall	fall	VERB
cana-3827	61	16	short	short	ADV
cana-3827	61	17	of	of	ADP
cana-3827	61	18	industry	industry	NOUN
cana-3827	61	19	expectations	expectation	NOUN
cana-3827	61	20	.	.	PUNCT
cana-3827	62	1	this	this	DET
cana-3827	62	2	discrepancy	discrepancy	NOUN
cana-3827	62	3	surprises	surprise	VERB
cana-3827	62	4	academic	academic	ADJ
cana-3827	62	5	institutions	institution	NOUN
cana-3827	62	6	that	that	PRON
cana-3827	62	7	emphasize	emphasize	VERB
cana-3827	62	8	software	software	NOUN
cana-3827	62	9	engineering	engineering	NOUN
cana-3827	62	10	disciplines	discipline	NOUN
cana-3827	62	11	.	.	PUNCT
cana-3827	63	1	the	the	DET
cana-3827	63	2	persistent	persistent	ADJ
cana-3827	63	3	gap	gap	NOUN
cana-3827	63	4	between	between	ADP
cana-3827	63	5	the	the	DET
cana-3827	63	6	software	software	NOUN
cana-3827	63	7	industry	industry	NOUN
cana-3827	63	8	and	and	CCONJ
cana-3827	63	9	academia	academia	NOUN
cana-3827	63	10	necessitates	necessitate	VERB
cana-3827	63	11	efforts	effort	NOUN
cana-3827	63	12	to	to	PART
cana-3827	63	13	bridge	bridge	VERB
cana-3827	63	14	these	these	DET
cana-3827	63	15	differences	difference	NOUN
cana-3827	63	16	.	.	PUNCT
cana-3827	64	1	identifying	identify	VERB
cana-3827	64	2	students	student	NOUN
cana-3827	64	3	'	'	PART
cana-3827	64	4	weaknesses	weakness	NOUN
cana-3827	64	5	and	and	CCONJ
cana-3827	64	6	predicting	predict	VERB
cana-3827	64	7	their	their	PRON
cana-3827	64	8	skill	skill	NOUN
cana-3827	64	9	sets	set	NOUN
cana-3827	64	10	while	while	SCONJ
cana-3827	64	11	they	they	PRON
cana-3827	64	12	pursue	pursue	VERB
cana-3827	64	13	software	software	NOUN
cana-3827	64	14	engineering	engineering	NOUN
cana-3827	64	15	is	be	AUX
cana-3827	64	16	crucial	crucial	ADJ
cana-3827	64	17	.	.	PUNCT
cana-3827	65	1	numerous	numerous	ADJ
cana-3827	65	2	studies	study	NOUN
cana-3827	65	3	highlight	highlight	VERB
cana-3827	65	4	that	that	PRON
cana-3827	65	5	student	student	NOUN
cana-3827	65	6	graduating	graduate	VERB
cana-3827	65	7	from	from	ADP
cana-3827	65	8	institutions	institution	NOUN
cana-3827	65	9	with	with	ADP
cana-3827	65	10	insufficient	insufficient	ADJ
cana-3827	65	11	emphasis	emphasis	NOUN
cana-3827	65	12	on	on	ADP
cana-3827	65	13	soft	soft	ADJ
cana-3827	65	14	,	,	PUNCT
cana-3827	65	15	life	life	NOUN
cana-3827	65	16	,	,	PUNCT
cana-3827	65	17	and	and	CCONJ
cana-3827	65	18	technical	technical	ADJ
cana-3827	65	19	skills	skill	NOUN
cana-3827	65	20	—	—	PUNCT
cana-3827	65	21	such	such	ADJ
cana-3827	65	22	as	as	ADP
cana-3827	65	23	communication	communication	NOUN
cana-3827	65	24	,	,	PUNCT
cana-3827	65	25	teamwork	teamwork	NOUN
cana-3827	65	26	,	,	PUNCT
cana-3827	65	27	creativity	creativity	NOUN
cana-3827	65	28	,	,	PUNCT
cana-3827	65	29	and	and	CCONJ
cana-3827	65	30	leadership	leadership	NOUN
cana-3827	65	31	—	—	PUNCT
cana-3827	65	32	are	be	AUX
cana-3827	65	33	at	at	ADP
cana-3827	65	34	a	a	DET
cana-3827	65	35	disadvantage	disadvantage	NOUN
cana-3827	65	36	[	[	X
cana-3827	65	37	5	5	NUM
cana-3827	65	38	,	,	PUNCT
cana-3827	65	39	6	6	NUM
cana-3827	65	40	,	,	PUNCT
cana-3827	65	41	7	7	NUM
cana-3827	65	42	,	,	PUNCT
cana-3827	65	43	8	8	NUM
cana-3827	65	44	]	]	PUNCT
cana-3827	65	45	.	.	PUNCT
cana-3827	66	1	companies	company	NOUN
cana-3827	66	2	often	often	ADV
cana-3827	66	3	invest	invest	VERB
cana-3827	66	4	significant	significant	ADJ
cana-3827	66	5	time	time	NOUN
cana-3827	66	6	and	and	CCONJ
cana-3827	66	7	money	money	NOUN
cana-3827	66	8	in	in	ADP
cana-3827	66	9	induction	induction	NOUN
cana-3827	66	10	programs	program	NOUN
cana-3827	66	11	to	to	PART
cana-3827	66	12	train	train	VERB
cana-3827	66	13	fresh	fresh	ADJ
cana-3827	66	14	graduates	graduate	NOUN
cana-3827	66	15	in	in	ADP
cana-3827	66	16	these	these	DET
cana-3827	66	17	essential	essential	ADJ
cana-3827	66	18	skills	skill	NOUN
cana-3827	66	19	.	.	PUNCT
cana-3827	67	1	this	this	PRON
cana-3827	67	2	underscores	underscore	VERB
cana-3827	67	3	the	the	DET
cana-3827	67	4	importance	importance	NOUN
cana-3827	67	5	of	of	ADP
cana-3827	67	6	incorporating	incorporate	VERB
cana-3827	67	7	skill	skill	NOUN
cana-3827	67	8	development	development	NOUN
cana-3827	67	9	into	into	ADP
cana-3827	67	10	academic	academic	ADJ
cana-3827	67	11	curricula	curricula	NOUN
cana-3827	67	12	.	.	PUNCT
cana-3827	68	1	several	several	ADJ
cana-3827	68	2	researchers	researcher	NOUN
cana-3827	68	3	have	have	AUX
cana-3827	68	4	called	call	VERB
cana-3827	68	5	attention	attention	NOUN
cana-3827	68	6	to	to	ADP
cana-3827	68	7	the	the	DET
cana-3827	68	8	relevance	relevance	NOUN
cana-3827	68	9	of	of	ADP
cana-3827	68	10	software	software	NOUN
cana-3827	68	11	engineering	engineering	NOUN
cana-3827	68	12	education	education	NOUN
cana-3827	68	13	to	to	ADP
cana-3827	68	14	industry	industry	NOUN
cana-3827	68	15	requirements	requirement	NOUN
cana-3827	68	16	[	[	X
cana-3827	68	17	9	9	NUM
cana-3827	68	18	,	,	PUNCT
cana-3827	68	19	10	10	NUM
cana-3827	68	20	]	]	PUNCT
cana-3827	68	21	.	.	PUNCT
cana-3827	69	1	establishing	establish	VERB
cana-3827	69	2	a	a	DET
cana-3827	69	3	strong	strong	ADJ
cana-3827	69	4	connection	connection	NOUN
cana-3827	69	5	between	between	ADP
cana-3827	69	6	academic	academic	ADJ
cana-3827	69	7	training	training	NOUN
cana-3827	69	8	and	and	CCONJ
cana-3827	69	9	industry	industry	NOUN
cana-3827	69	10	needs	need	VERB
cana-3827	69	11	benefits	benefit	NOUN
cana-3827	69	12	both	both	DET
cana-3827	69	13	students	student	NOUN
cana-3827	69	14	and	and	CCONJ
cana-3827	69	15	employers	employer	NOUN
cana-3827	70	1	[	[	X
cana-3827	70	2	11	11	NUM
cana-3827	70	3	,	,	PUNCT
cana-3827	70	4	12	12	NUM
cana-3827	70	5	,	,	PUNCT
cana-3827	70	6	13	13	NUM
cana-3827	70	7	,	,	PUNCT
cana-3827	70	8	14	14	NUM
cana-3827	70	9	]	]	PUNCT
cana-3827	70	10	.	.	PUNCT
cana-3827	71	1	some	some	DET
cana-3827	71	2	studies	study	NOUN
cana-3827	71	3	have	have	AUX
cana-3827	71	4	explored	explore	VERB
cana-3827	71	5	the	the	DET
cana-3827	71	6	skill	skill	NOUN
cana-3827	71	7	sets	set	NOUN
cana-3827	71	8	required	require	VERB
cana-3827	71	9	for	for	ADP
cana-3827	71	10	success	success	NOUN
cana-3827	71	11	in	in	ADP
cana-3827	71	12	the	the	DET
cana-3827	71	13	it	it	PROPN
cana-3827	71	14	industry	industry	NOUN
cana-3827	71	15	.	.	PUNCT
cana-3827	72	1	pınar	pınar	PROPN
cana-3827	72	2	cihan	cihan	VERB
cana-3827	73	1	[	[	X
cana-3827	73	2	3	3	NUM
cana-3827	73	3	]	]	PUNCT
cana-3827	73	4	emphasizes	emphasize	VERB
cana-3827	73	5	addressing	address	VERB
cana-3827	73	6	the	the	DET
cana-3827	73	7	limitations	limitation	NOUN
cana-3827	73	8	of	of	ADP
cana-3827	73	9	project	project	NOUN
cana-3827	73	10	-	-	PUNCT
cana-3827	73	11	based	base	VERB
cana-3827	73	12	learning	learning	NOUN
cana-3827	73	13	approaches	approach	NOUN
cana-3827	73	14	to	to	PART
cana-3827	73	15	deliver	deliver	VERB
cana-3827	73	16	high	high	ADJ
cana-3827	73	17	-	-	PUNCT
cana-3827	73	18	quality	quality	NOUN
cana-3827	73	19	instruction	instruction	NOUN
cana-3827	73	20	in	in	ADP
cana-3827	73	21	software	software	NOUN
cana-3827	73	22	development	development	NOUN
cana-3827	73	23	courses	course	NOUN
cana-3827	73	24	.	.	PUNCT
cana-3827	74	1	riza	riza	PROPN
cana-3827	74	2	yosia	yosia	PROPN
cana-3827	74	3	sunindijo	sunindijo	PROPN
cana-3827	74	4	[	[	X
cana-3827	74	5	4	4	X
cana-3827	74	6	]	]	PUNCT
cana-3827	74	7	investigates	investigate	VERB
cana-3827	74	8	16	16	NUM
cana-3827	74	9	skill	skill	NOUN
cana-3827	74	10	elements	element	NOUN
cana-3827	74	11	and	and	CCONJ
cana-3827	74	12	their	their	PRON
cana-3827	74	13	influence	influence	NOUN
cana-3827	74	14	on	on	ADP
cana-3827	74	15	project	project	NOUN
cana-3827	74	16	efficiency	efficiency	NOUN
cana-3827	74	17	in	in	ADP
cana-3827	74	18	the	the	DET
cana-3827	74	19	software	software	NOUN
cana-3827	74	20	sector	sector	NOUN
cana-3827	74	21	,	,	PUNCT
cana-3827	74	22	focusing	focus	VERB
cana-3827	74	23	on	on	ADP
cana-3827	74	24	time	time	NOUN
cana-3827	74	25	,	,	PUNCT
cana-3827	74	26	cost	cost	NOUN
cana-3827	74	27	,	,	PUNCT
cana-3827	74	28	and	and	CCONJ
cana-3827	74	29	quality	quality	NOUN
cana-3827	74	30	.	.	PUNCT
cana-3827	75	1	e.	e.	PROPN
cana-3827	75	2	sventekova	sventekova	PROPN
cana-3827	75	3	et	et	PROPN
cana-3827	75	4	al	al	PROPN
cana-3827	75	5	.	.	PUNCT
cana-3827	76	1	[	[	X
cana-3827	76	2	5	5	X
cana-3827	76	3	]	]	PUNCT
cana-3827	76	4	stress	stress	VERB
cana-3827	76	5	the	the	DET
cana-3827	76	6	importance	importance	NOUN
cana-3827	76	7	of	of	ADP
cana-3827	76	8	developing	develop	VERB
cana-3827	76	9	soft	soft	ADJ
cana-3827	76	10	skills	skill	NOUN
cana-3827	76	11	during	during	ADP
cana-3827	76	12	the	the	DET
cana-3827	76	13	educational	educational	ADJ
cana-3827	76	14	journey	journey	NOUN
cana-3827	76	15	to	to	PART
cana-3827	76	16	foster	foster	VERB
cana-3827	76	17	students	student	NOUN
cana-3827	76	18	'	'	PART
cana-3827	76	19	interest	interest	NOUN
cana-3827	76	20	in	in	ADP
cana-3827	76	21	scientific	scientific	ADJ
cana-3827	76	22	inquiry	inquiry	NOUN
cana-3827	76	23	.	.	PUNCT
cana-3827	77	1	gnatz	gnatz	PROPN
cana-3827	77	2	et	et	PROPN
cana-3827	77	3	al	al	PROPN
cana-3827	77	4	.	.	PUNCT
cana-3827	78	1	[	[	X
cana-3827	78	2	9	9	NUM
cana-3827	78	3	]	]	PUNCT
cana-3827	78	4	provide	provide	VERB
cana-3827	78	5	insights	insight	NOUN
cana-3827	78	6	into	into	ADP
cana-3827	78	7	designing	design	VERB
cana-3827	78	8	courses	course	NOUN
cana-3827	78	9	that	that	PRON
cana-3827	78	10	effectively	effectively	ADV
cana-3827	78	11	impart	impart	VERB
cana-3827	78	12	practical	practical	ADJ
cana-3827	78	13	knowledge	knowledge	NOUN
cana-3827	78	14	,	,	PUNCT
cana-3827	78	15	based	base	VERB
cana-3827	78	16	on	on	ADP
cana-3827	78	17	detailed	detailed	ADJ
cana-3827	78	18	observations	observation	NOUN
cana-3827	78	19	.	.	PUNCT
cana-3827	79	1	carmen	carman	NOUN
cana-3827	79	2	iriarte	iriarte	NOUN
cana-3827	80	1	[	[	X
cana-3827	80	2	15	15	NUM
cana-3827	80	3	]	]	PUNCT
cana-3827	80	4	highlights	highlight	VERB
cana-3827	80	5	the	the	DET
cana-3827	80	6	critical	critical	ADJ
cana-3827	80	7	role	role	NOUN
cana-3827	80	8	of	of	ADP
cana-3827	80	9	soft	soft	ADJ
cana-3827	80	10	skills	skill	NOUN
cana-3827	80	11	in	in	ADP
cana-3827	80	12	determining	determine	VERB
cana-3827	80	13	it	it	PRON
cana-3827	80	14	project	project	NOUN
cana-3827	80	15	success	success	NOUN
cana-3827	80	16	.	.	PUNCT
cana-3827	81	1	alan	alan	PROPN
cana-3827	81	2	r.	r.	PROPN
cana-3827	81	3	peslak	peslak	PROPN
cana-3827	82	1	[	[	X
cana-3827	82	2	16	16	NUM
cana-3827	82	3	]	]	PUNCT
cana-3827	82	4	describes	describe	VERB
cana-3827	82	5	strategies	strategy	NOUN
cana-3827	82	6	for	for	ADP
cana-3827	82	7	fostering	foster	VERB
cana-3827	82	8	effective	effective	ADJ
cana-3827	82	9	group	group	NOUN
cana-3827	82	10	collaboration	collaboration	NOUN
cana-3827	82	11	within	within	ADP
cana-3827	82	12	course	course	NOUN
cana-3827	82	13	frameworks	framework	NOUN
cana-3827	82	14	.	.	PUNCT
cana-3827	83	1	gregory	gregory	PROPN
cana-3827	83	2	j.	j.	PROPN
cana-3827	83	3	skulmoski	skulmoski	PROPN
cana-3827	84	1	[	[	X
cana-3827	84	2	17	17	NUM
cana-3827	84	3	]	]	PUNCT
cana-3827	84	4	examines	examine	VERB
cana-3827	84	5	the	the	DET
cana-3827	84	6	essential	essential	ADJ
cana-3827	84	7	soft	soft	ADJ
cana-3827	84	8	skills	skill	NOUN
cana-3827	84	9	required	require	VERB
cana-3827	84	10	by	by	ADP
cana-3827	84	11	information	information	NOUN
cana-3827	84	12	systems	system	NOUN
cana-3827	84	13	managers	manager	NOUN
cana-3827	84	14	to	to	PART
cana-3827	84	15	ensure	ensure	VERB
cana-3827	84	16	success	success	NOUN
cana-3827	84	17	at	at	ADP
cana-3827	84	18	every	every	DET
cana-3827	84	19	stage	stage	NOUN
cana-3827	84	20	of	of	ADP
cana-3827	84	21	project	project	NOUN
cana-3827	84	22	implementation	implementation	NOUN
cana-3827	84	23	.	.	PUNCT
cana-3827	85	1	the	the	DET
cana-3827	85	2	skillset	skillset	ADJ
cana-3827	85	3	prediction	prediction	NOUN
cana-3827	85	4	helps	help	VERB
cana-3827	85	5	close	close	VERB
cana-3827	85	6	the	the	DET
cana-3827	85	7	gap	gap	NOUN
cana-3827	85	8	between	between	ADP
cana-3827	85	9	what	what	PRON
cana-3827	85	10	is	be	AUX
cana-3827	85	11	needed	need	VERB
cana-3827	85	12	in	in	ADP
cana-3827	85	13	the	the	DET
cana-3827	85	14	workplace	workplace	NOUN
cana-3827	85	15	and	and	CCONJ
cana-3827	85	16	what	what	PRON
cana-3827	85	17	is	be	AUX
cana-3827	85	18	learned	learn	VERB
cana-3827	85	19	in	in	ADP
cana-3827	85	20	colleges	college	NOUN
cana-3827	85	21	.	.	PUNCT
cana-3827	86	1	the	the	DET
cana-3827	86	2	methodology	methodology	NOUN
cana-3827	86	3	enables	enable	VERB
cana-3827	86	4	educators	educator	NOUN
cana-3827	86	5	to	to	PART
cana-3827	86	6	create	create	VERB
cana-3827	86	7	focused	focused	ADJ
cana-3827	86	8	interventions	intervention	NOUN
cana-3827	86	9	that	that	PRON
cana-3827	86	10	address	address	VERB
cana-3827	86	11	specific	specific	ADJ
cana-3827	86	12	skill	skill	NOUN
cana-3827	86	13	gaps	gap	NOUN
cana-3827	86	14	and	and	CCONJ
cana-3827	86	15	enhance	enhance	VERB
cana-3827	86	16	overall	overall	ADJ
cana-3827	86	17	competency	competency	NOUN
cana-3827	86	18	development	development	NOUN
cana-3827	86	19	by	by	ADP
cana-3827	86	20	accurately	accurately	ADV
cana-3827	86	21	identifying	identify	VERB
cana-3827	86	22	students	student	NOUN
cana-3827	86	23	'	'	PART
cana-3827	86	24	technical	technical	ADJ
cana-3827	86	25	,	,	PUNCT
cana-3827	86	26	life	life	NOUN
cana-3827	86	27	,	,	PUNCT
cana-3827	86	28	and	and	CCONJ
cana-3827	86	29	soft	soft	ADJ
cana-3827	86	30	skills	skill	NOUN
cana-3827	86	31	.	.	PUNCT
cana-3827	87	1	by	by	ADP
cana-3827	87	2	aligning	align	VERB
cana-3827	87	3	students	student	NOUN
cana-3827	87	4	'	'	PART
cana-3827	87	5	skills	skill	NOUN
cana-3827	87	6	with	with	ADP
cana-3827	87	7	the	the	DET
cana-3827	87	8	demands	demand	NOUN
cana-3827	87	9	of	of	ADP
cana-3827	87	10	the	the	DET
cana-3827	87	11	it	it	NOUN
cana-3827	87	12	sector	sector	NOUN
cana-3827	87	13	,	,	PUNCT
cana-3827	87	14	this	this	DET
cana-3827	87	15	data	data	NOUN
cana-3827	87	16	-	-	PUNCT
cana-3827	87	17	driven	drive	VERB
cana-3827	87	18	approach	approach	NOUN
cana-3827	87	19	ensures	ensure	VERB
cana-3827	87	20	students	student	NOUN
cana-3827	87	21	are	be	AUX
cana-3827	87	22	better	well	ADV
cana-3827	87	23	prepared	prepared	ADJ
cana-3827	87	24	to	to	PART
cana-3827	87	25	handle	handle	VERB
cana-3827	87	26	real	real	ADJ
cana-3827	87	27	-	-	PUNCT
cana-3827	87	28	world	world	NOUN
cana-3827	87	29	challenges	challenge	NOUN
cana-3827	87	30	.	.	PUNCT
cana-3827	88	1	institutions	institution	NOUN
cana-3827	88	2	benefit	benefit	VERB
cana-3827	88	3	from	from	ADP
cana-3827	88	4	more	more	ADV
cana-3827	88	5	efficient	efficient	ADJ
cana-3827	88	6	resource	resource	NOUN
cana-3827	88	7	allocation	allocation	NOUN
cana-3827	88	8	,	,	PUNCT
cana-3827	88	9	focusing	focus	VERB
cana-3827	88	10	on	on	ADP
cana-3827	88	11	essential	essential	ADJ
cana-3827	88	12	skills	skill	NOUN
cana-3827	88	13	required	require	VERB
cana-3827	88	14	for	for	ADP
cana-3827	88	15	career	career	NOUN
cana-3827	88	16	growth	growth	NOUN
cana-3827	88	17	and	and	CCONJ
cana-3827	88	18	communications	communication	NOUN
cana-3827	88	19	on	on	ADP
cana-3827	88	20	applied	apply	VERB
cana-3827	88	21	nonlinear	nonlinear	ADJ
cana-3827	88	22	analysis	analysis	NOUN
cana-3827	88	23	issn	issn	NOUN
cana-3827	88	24	:	:	PUNCT
cana-3827	88	25	1074	1074	NUM
cana-3827	88	26	-	-	PUNCT
cana-3827	88	27	133x	133x	NUM
cana-3827	88	28	vol	vol	NOUN
cana-3827	88	29	32	32	NUM
cana-3827	88	30	no	no	NOUN
cana-3827	88	31	.	.	PUNCT
cana-3827	89	1	8s	8s	PROPN
cana-3827	89	2	(	(	PUNCT
cana-3827	89	3	2025	2025	NUM
cana-3827	89	4	)	)	PUNCT
cana-3827	89	5	850	850	NUM
cana-3827	89	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3827	89	7	employability	employability	NOUN
cana-3827	89	8	.	.	PUNCT
cana-3827	90	1	the	the	DET
cana-3827	90	2	study	study	NOUN
cana-3827	90	3	's	's	PART
cana-3827	90	4	ultimate	ultimate	ADJ
cana-3827	90	5	goal	goal	NOUN
cana-3827	90	6	is	be	AUX
cana-3827	90	7	to	to	PART
cana-3827	90	8	advance	advance	VERB
cana-3827	90	9	a	a	DET
cana-3827	90	10	more	more	ADV
cana-3827	90	11	effective	effective	ADJ
cana-3827	90	12	,	,	PUNCT
cana-3827	90	13	personalized	personalized	ADJ
cana-3827	90	14	,	,	PUNCT
cana-3827	90	15	and	and	CCONJ
cana-3827	90	16	industryrelevant	industryrelevant	ADJ
cana-3827	90	17	educational	educational	ADJ
cana-3827	90	18	framework	framework	NOUN
cana-3827	90	19	that	that	PRON
cana-3827	90	20	equips	equip	VERB
cana-3827	90	21	students	student	NOUN
cana-3827	90	22	for	for	ADP
cana-3827	90	23	success	success	NOUN
cana-3827	90	24	in	in	ADP
cana-3827	90	25	the	the	DET
cana-3827	90	26	workplace	workplace	NOUN
cana-3827	90	27	.	.	PUNCT
cana-3827	91	1	3	3	X
cana-3827	91	2	.	.	NUM
cana-3827	91	3	related	relate	VERB
cana-3827	91	4	works	work	NOUN
cana-3827	91	5	machine	machine	NOUN
cana-3827	91	6	learning	learning	NOUN
cana-3827	91	7	models	model	NOUN
cana-3827	91	8	produce	produce	VERB
cana-3827	91	9	more	more	ADV
cana-3827	91	10	accurate	accurate	ADJ
cana-3827	91	11	results	result	NOUN
cana-3827	91	12	for	for	ADP
cana-3827	91	13	prediction	prediction	NOUN
cana-3827	91	14	tasks	task	NOUN
cana-3827	91	15	due	due	ADP
cana-3827	91	16	to	to	ADP
cana-3827	91	17	the	the	DET
cana-3827	91	18	substantial	substantial	ADJ
cana-3827	91	19	development	development	NOUN
cana-3827	91	20	of	of	ADP
cana-3827	91	21	ai	ai	ADJ
cana-3827	91	22	approaches	approach	NOUN
cana-3827	91	23	.	.	PUNCT
cana-3827	92	1	some	some	DET
cana-3827	92	2	works	work	NOUN
cana-3827	92	3	proposed	propose	VERB
cana-3827	92	4	by	by	ADP
cana-3827	92	5	various	various	ADJ
cana-3827	92	6	researchers	researcher	NOUN
cana-3827	92	7	for	for	ADP
cana-3827	92	8	skill	skill	NOUN
cana-3827	92	9	set	set	VERB
cana-3827	92	10	prediction	prediction	NOUN
cana-3827	92	11	are	be	AUX
cana-3827	92	12	presented	present	VERB
cana-3827	92	13	below	below	ADV
cana-3827	92	14	.	.	PUNCT
cana-3827	93	1	pınar	pınar	PROPN
cana-3827	93	2	cihan	cihan	VERB
cana-3827	93	3	[	[	X
cana-3827	93	4	3	3	NUM
cana-3827	93	5	]	]	PUNCT
cana-3827	93	6	highlights	highlight	NOUN
cana-3827	93	7	how	how	SCONJ
cana-3827	93	8	crucial	crucial	ADJ
cana-3827	93	9	it	it	PRON
cana-3827	93	10	is	be	AUX
cana-3827	93	11	to	to	PART
cana-3827	93	12	solve	solve	VERB
cana-3827	93	13	the	the	DET
cana-3827	93	14	drawbacks	drawback	NOUN
cana-3827	93	15	of	of	ADP
cana-3827	93	16	project	project	NOUN
cana-3827	93	17	-	-	PUNCT
cana-3827	93	18	based	base	VERB
cana-3827	93	19	learning	learning	NOUN
cana-3827	93	20	strategies	strategy	NOUN
cana-3827	93	21	in	in	ADP
cana-3827	93	22	order	order	NOUN
cana-3827	93	23	to	to	PART
cana-3827	93	24	provide	provide	VERB
cana-3827	93	25	students	student	NOUN
cana-3827	93	26	in	in	ADP
cana-3827	93	27	software	software	NOUN
cana-3827	93	28	development	development	NOUN
cana-3827	93	29	courses	course	NOUN
cana-3827	93	30	with	with	ADP
cana-3827	93	31	high	high	ADJ
cana-3827	93	32	-	-	PUNCT
cana-3827	93	33	quality	quality	NOUN
cana-3827	93	34	education	education	NOUN
cana-3827	93	35	.	.	PUNCT
cana-3827	94	1	in	in	ADP
cana-3827	94	2	order	order	NOUN
cana-3827	94	3	to	to	PART
cana-3827	94	4	assess	assess	VERB
cana-3827	94	5	their	their	PRON
cana-3827	94	6	impact	impact	NOUN
cana-3827	94	7	on	on	ADP
cana-3827	94	8	improving	improve	VERB
cana-3827	94	9	project	project	NOUN
cana-3827	94	10	efficiency	efficiency	NOUN
cana-3827	94	11	in	in	ADP
cana-3827	94	12	the	the	DET
cana-3827	94	13	software	software	NOUN
cana-3827	94	14	industry	industry	NOUN
cana-3827	94	15	,	,	PUNCT
cana-3827	94	16	specifically	specifically	ADV
cana-3827	94	17	with	with	ADP
cana-3827	94	18	regard	regard	NOUN
cana-3827	94	19	to	to	ADP
cana-3827	94	20	time	time	NOUN
cana-3827	94	21	,	,	PUNCT
cana-3827	94	22	cost	cost	NOUN
cana-3827	94	23	,	,	PUNCT
cana-3827	94	24	and	and	CCONJ
cana-3827	94	25	quality	quality	NOUN
cana-3827	94	26	,	,	PUNCT
cana-3827	94	27	riza	riza	PROPN
cana-3827	94	28	yosia	yosia	PROPN
cana-3827	94	29	sunindijo	sunindijo	PROPN
cana-3827	95	1	[	[	X
cana-3827	95	2	4	4	X
cana-3827	95	3	]	]	X
cana-3827	95	4	looks	look	VERB
cana-3827	95	5	into	into	ADP
cana-3827	95	6	16	16	NUM
cana-3827	95	7	ability	ability	NOUN
cana-3827	95	8	factors	factor	NOUN
cana-3827	95	9	.	.	PUNCT
cana-3827	96	1	according	accord	VERB
cana-3827	96	2	to	to	ADP
cana-3827	96	3	e.	e.	PROPN
cana-3827	96	4	sventekova	sventekova	PROPN
cana-3827	96	5	et	et	PROPN
cana-3827	96	6	al	al	PROPN
cana-3827	96	7	.	.	PUNCT
cana-3827	97	1	[	[	X
cana-3827	97	2	5	5	NUM
cana-3827	97	3	]	]	PUNCT
cana-3827	97	4	,	,	PUNCT
cana-3827	97	5	in	in	ADP
cana-3827	97	6	order	order	NOUN
cana-3827	97	7	to	to	PART
cana-3827	97	8	encourage	encourage	VERB
cana-3827	97	9	a	a	DET
cana-3827	97	10	stronger	strong	ADJ
cana-3827	97	11	interest	interest	NOUN
cana-3827	97	12	in	in	ADP
cana-3827	97	13	engaging	engage	VERB
cana-3827	97	14	in	in	ADP
cana-3827	97	15	scientific	scientific	ADJ
cana-3827	97	16	investigation	investigation	NOUN
cana-3827	97	17	,	,	PUNCT
cana-3827	97	18	young	young	ADJ
cana-3827	97	19	people	people	NOUN
cana-3827	97	20	must	must	AUX
cana-3827	97	21	acquire	acquire	VERB
cana-3827	97	22	soft	soft	ADJ
cana-3827	97	23	skills	skill	NOUN
cana-3827	97	24	throughout	throughout	ADP
cana-3827	97	25	their	their	PRON
cana-3827	97	26	educational	educational	ADJ
cana-3827	97	27	journey	journey	NOUN
cana-3827	97	28	.	.	PUNCT
cana-3827	98	1	based	base	VERB
cana-3827	98	2	on	on	ADP
cana-3827	98	3	in	in	ADP
cana-3827	98	4	-	-	PUNCT
cana-3827	98	5	depth	depth	NOUN
cana-3827	98	6	observations	observation	NOUN
cana-3827	98	7	,	,	PUNCT
cana-3827	98	8	gnatz	gnatz	NOUN
cana-3827	98	9	et	et	PROPN
cana-3827	98	10	al	al	PROPN
cana-3827	98	11	.	.	PUNCT
cana-3827	99	1	[	[	X
cana-3827	99	2	9	9	NUM
cana-3827	99	3	]	]	PUNCT
cana-3827	99	4	offer	offer	VERB
cana-3827	99	5	insights	insight	NOUN
cana-3827	99	6	into	into	ADP
cana-3827	99	7	the	the	DET
cana-3827	99	8	design	design	NOUN
cana-3827	99	9	of	of	ADP
cana-3827	99	10	a	a	DET
cana-3827	99	11	course	course	NOUN
cana-3827	99	12	intended	intend	VERB
cana-3827	99	13	to	to	PART
cana-3827	99	14	successfully	successfully	ADV
cana-3827	99	15	impart	impart	VERB
cana-3827	99	16	practical	practical	ADJ
cana-3827	99	17	knowledge	knowledge	NOUN
cana-3827	99	18	to	to	ADP
cana-3827	99	19	students	student	NOUN
cana-3827	99	20	.	.	PUNCT
cana-3827	100	1	the	the	DET
cana-3827	100	2	results	result	NOUN
cana-3827	100	3	of	of	ADP
cana-3827	100	4	the	the	DET
cana-3827	100	5	study	study	NOUN
cana-3827	100	6	support	support	NOUN
cana-3827	100	7	carmen	carman	NOUN
cana-3827	100	8	iriarte	iriarte	NOUN
cana-3827	100	9	's	's	PART
cana-3827	100	10	[	[	NOUN
cana-3827	100	11	15	15	NUM
cana-3827	100	12	]	]	PUNCT
cana-3827	100	13	assertion	assertion	NOUN
cana-3827	100	14	that	that	SCONJ
cana-3827	100	15	soft	soft	ADJ
cana-3827	100	16	skills	skill	NOUN
cana-3827	100	17	are	be	AUX
cana-3827	100	18	crucial	crucial	ADJ
cana-3827	100	19	to	to	ADP
cana-3827	100	20	the	the	DET
cana-3827	100	21	success	success	NOUN
cana-3827	100	22	of	of	ADP
cana-3827	100	23	it	it	PRON
cana-3827	100	24	initiatives	initiative	VERB
cana-3827	100	25	.	.	PUNCT
cana-3827	101	1	within	within	ADP
cana-3827	101	2	the	the	DET
cana-3827	101	3	course	course	NOUN
cana-3827	101	4	structure	structure	NOUN
cana-3827	101	5	,	,	PUNCT
cana-3827	101	6	alan	alan	PROPN
cana-3827	101	7	r.	r.	PROPN
cana-3827	101	8	peslak	peslak	PROPN
cana-3827	102	1	[	[	X
cana-3827	102	2	16	16	NUM
cana-3827	102	3	]	]	PUNCT
cana-3827	102	4	examines	examine	NOUN
cana-3827	102	5	and	and	CCONJ
cana-3827	102	6	outlines	outline	VERB
cana-3827	102	7	a	a	DET
cana-3827	102	8	number	number	NOUN
cana-3827	102	9	of	of	ADP
cana-3827	102	10	tactics	tactic	NOUN
cana-3827	102	11	and	and	CCONJ
cana-3827	102	12	protocols	protocol	NOUN
cana-3827	102	13	for	for	ADP
cana-3827	102	14	encouraging	encourage	VERB
cana-3827	102	15	productive	productive	ADJ
cana-3827	102	16	group	group	NOUN
cana-3827	102	17	collaboration	collaboration	NOUN
cana-3827	102	18	.	.	PUNCT
cana-3827	103	1	the	the	DET
cana-3827	103	2	fundamental	fundamental	ADJ
cana-3827	103	3	soft	soft	ADJ
cana-3827	103	4	skills	skill	NOUN
cana-3827	103	5	that	that	SCONJ
cana-3827	103	6	information	information	NOUN
cana-3827	103	7	systems	system	NOUN
cana-3827	103	8	managers	manager	NOUN
cana-3827	103	9	need	need	VERB
cana-3827	103	10	to	to	PART
cana-3827	103	11	have	have	VERB
cana-3827	103	12	in	in	SCONJ
cana-3827	103	13	order	order	NOUN
cana-3827	103	14	to	to	PART
cana-3827	103	15	succeed	succeed	VERB
cana-3827	103	16	at	at	ADP
cana-3827	103	17	every	every	DET
cana-3827	103	18	stage	stage	NOUN
cana-3827	103	19	of	of	ADP
cana-3827	103	20	project	project	NOUN
cana-3827	103	21	implementation	implementation	NOUN
cana-3827	103	22	are	be	AUX
cana-3827	103	23	examined	examine	VERB
cana-3827	103	24	by	by	ADP
cana-3827	103	25	gregory	gregory	PROPN
cana-3827	103	26	j.	j.	PROPN
cana-3827	103	27	skulmoski	skulmoski	PROPN
cana-3827	104	1	[	[	X
cana-3827	104	2	17	17	NUM
cana-3827	104	3	]	]	PUNCT
cana-3827	104	4	.	.	PUNCT
cana-3827	105	1	zaman	zaman	PROPN
cana-3827	105	2	et	et	PROPN
cana-3827	105	3	al	al	PROPN
cana-3827	105	4	.	.	PUNCT
cana-3827	106	1	[	[	X
cana-3827	106	2	18	18	NUM
cana-3827	106	3	]	]	PUNCT
cana-3827	106	4	suggested	suggest	VERB
cana-3827	106	5	a	a	DET
cana-3827	106	6	model	model	NOUN
cana-3827	106	7	for	for	ADP
cana-3827	106	8	prediction	prediction	NOUN
cana-3827	106	9	where	where	SCONJ
cana-3827	106	10	the	the	DET
cana-3827	106	11	authors	author	NOUN
cana-3827	106	12	utilized	utilize	VERB
cana-3827	106	13	a	a	DET
cana-3827	106	14	dataset	dataset	NOUN
cana-3827	106	15	taken	take	VERB
cana-3827	106	16	from	from	ADP
cana-3827	106	17	software	software	NOUN
cana-3827	106	18	companies	company	NOUN
cana-3827	106	19	in	in	ADP
cana-3827	106	20	pakistan	pakistan	PROPN
cana-3827	106	21	.	.	PUNCT
cana-3827	107	1	this	this	DET
cana-3827	107	2	research	research	NOUN
cana-3827	107	3	brings	bring	VERB
cana-3827	107	4	findings	finding	NOUN
cana-3827	107	5	that	that	PRON
cana-3827	107	6	illuminates	illuminate	VERB
cana-3827	107	7	practical	practical	ADJ
cana-3827	107	8	and	and	CCONJ
cana-3827	107	9	theoretical	theoretical	ADJ
cana-3827	107	10	contributions	contribution	NOUN
cana-3827	107	11	for	for	ADP
cana-3827	107	12	a	a	DET
cana-3827	107	13	better	well	ADJ
cana-3827	107	14	understanding	understanding	NOUN
cana-3827	107	15	of	of	ADP
cana-3827	107	16	software	software	NOUN
cana-3827	107	17	projects	project	NOUN
cana-3827	107	18	'	'	PART
cana-3827	107	19	performance	performance	NOUN
cana-3827	107	20	complexities	complexity	NOUN
cana-3827	107	21	.	.	PUNCT
cana-3827	108	1	this	this	DET
cana-3827	108	2	study	study	NOUN
cana-3827	108	3	also	also	ADV
cana-3827	108	4	provides	provide	VERB
cana-3827	108	5	priority	priority	NOUN
cana-3827	108	6	for	for	ADP
cana-3827	108	7	social	social	ADJ
cana-3827	108	8	and	and	CCONJ
cana-3827	108	9	political	political	ADJ
cana-3827	108	10	skills	skill	NOUN
cana-3827	108	11	.	.	PUNCT
cana-3827	109	1	furthermore	furthermore	ADV
cana-3827	109	2	,	,	PUNCT
cana-3827	109	3	the	the	DET
cana-3827	109	4	study	study	NOUN
cana-3827	109	5	also	also	ADV
cana-3827	109	6	provides	provide	VERB
cana-3827	109	7	a	a	DET
cana-3827	109	8	clear	clear	ADJ
cana-3827	109	9	idea	idea	NOUN
cana-3827	109	10	about	about	ADP
cana-3827	109	11	the	the	DET
cana-3827	109	12	complex	complex	ADJ
cana-3827	109	13	performance	performance	NOUN
cana-3827	109	14	relationship	relationship	NOUN
cana-3827	109	15	between	between	ADP
cana-3827	109	16	software	software	NOUN
cana-3827	109	17	projects	project	NOUN
cana-3827	109	18	.	.	PUNCT
cana-3827	110	1	mezhoudi	mezhoudi	ADJ
cana-3827	110	2	n	n	INTJ
cana-3827	110	3	et	et	NOUN
cana-3827	110	4	al	al	PROPN
cana-3827	110	5	.	.	PUNCT
cana-3827	111	1	[	[	X
cana-3827	111	2	19	19	NUM
cana-3827	111	3	]	]	PUNCT
cana-3827	111	4	suggested	suggest	VERB
cana-3827	111	5	that	that	SCONJ
cana-3827	111	6	finding	find	VERB
cana-3827	111	7	the	the	DET
cana-3827	111	8	important	important	ADJ
cana-3827	111	9	variables	variable	NOUN
cana-3827	111	10	influencing	influence	VERB
cana-3827	111	11	employability	employability	NOUN
cana-3827	111	12	and	and	CCONJ
cana-3827	111	13	the	the	DET
cana-3827	111	14	demands	demand	NOUN
cana-3827	111	15	of	of	ADP
cana-3827	111	16	the	the	DET
cana-3827	111	17	modern	modern	ADJ
cana-3827	111	18	workforce	workforce	NOUN
cana-3827	111	19	may	may	AUX
cana-3827	111	20	be	be	AUX
cana-3827	111	21	quite	quite	ADV
cana-3827	111	22	beneficial	beneficial	ADJ
cana-3827	111	23	to	to	ADP
cana-3827	111	24	all	all	DET
cana-3827	111	25	parties	party	NOUN
cana-3827	111	26	involved	involve	VERB
cana-3827	111	27	.	.	PUNCT
cana-3827	112	1	students	student	NOUN
cana-3827	112	2	who	who	PRON
cana-3827	112	3	are	be	AUX
cana-3827	112	4	aware	aware	ADJ
cana-3827	112	5	of	of	ADP
cana-3827	112	6	their	their	PRON
cana-3827	112	7	skills	skill	NOUN
cana-3827	112	8	and	and	CCONJ
cana-3827	112	9	shortcomings	shortcoming	NOUN
cana-3827	112	10	may	may	AUX
cana-3827	112	11	be	be	AUX
cana-3827	112	12	able	able	ADJ
cana-3827	112	13	to	to	PART
cana-3827	112	14	better	well	ADV
cana-3827	112	15	plan	plan	VERB
cana-3827	112	16	their	their	PRON
cana-3827	112	17	careers	career	NOUN
cana-3827	112	18	.	.	PUNCT
cana-3827	113	1	according	accord	VERB
cana-3827	113	2	to	to	ADP
cana-3827	113	3	makhoba	makhoba	PROPN
cana-3827	113	4	et	et	PROPN
cana-3827	113	5	al	al	PROPN
cana-3827	113	6	.	.	PUNCT
cana-3827	114	1	[	[	X
cana-3827	114	2	20	20	NUM
cana-3827	114	3	]	]	PUNCT
cana-3827	114	4	,	,	PUNCT
cana-3827	114	5	based	base	VERB
cana-3827	114	6	on	on	ADP
cana-3827	114	7	their	their	PRON
cana-3827	114	8	skill	skill	NOUN
cana-3827	114	9	-	-	PUNCT
cana-3827	114	10	set	set	VERB
cana-3827	114	11	characteristics	characteristic	NOUN
cana-3827	114	12	,	,	PUNCT
cana-3827	114	13	students	student	NOUN
cana-3827	114	14	can	can	AUX
cana-3827	114	15	use	use	VERB
cana-3827	114	16	this	this	DET
cana-3827	114	17	study	study	NOUN
cana-3827	114	18	to	to	PART
cana-3827	114	19	determine	determine	VERB
cana-3827	114	20	which	which	DET
cana-3827	114	21	degree	degree	NOUN
cana-3827	114	22	they	they	PRON
cana-3827	114	23	are	be	AUX
cana-3827	114	24	most	most	ADV
cana-3827	114	25	likely	likely	ADJ
cana-3827	114	26	to	to	PART
cana-3827	114	27	succeed	succeed	VERB
cana-3827	114	28	in	in	ADP
cana-3827	114	29	.	.	PUNCT
cana-3827	115	1	the	the	DET
cana-3827	115	2	university	university	NOUN
cana-3827	115	3	administrative	administrative	ADJ
cana-3827	115	4	staff	staff	NOUN
cana-3827	115	5	,	,	PUNCT
cana-3827	115	6	bursary	bursary	ADJ
cana-3827	115	7	sponsors	sponsor	NOUN
cana-3827	115	8	,	,	PUNCT
cana-3827	115	9	and	and	CCONJ
cana-3827	115	10	scholarship	scholarship	NOUN
cana-3827	115	11	sponsors	sponsor	NOUN
cana-3827	115	12	can	can	AUX
cana-3827	115	13	use	use	VERB
cana-3827	115	14	this	this	DET
cana-3827	115	15	model	model	NOUN
cana-3827	115	16	to	to	PART
cana-3827	115	17	identify	identify	VERB
cana-3827	115	18	students	student	NOUN
cana-3827	115	19	who	who	PRON
cana-3827	115	20	are	be	AUX
cana-3827	115	21	academically	academically	ADV
cana-3827	115	22	challenging	challenging	ADJ
cana-3827	115	23	.	.	PUNCT
cana-3827	116	1	according	accord	VERB
cana-3827	116	2	to	to	ADP
cana-3827	116	3	gonzález	gonzález	PROPN
cana-3827	116	4	-	-	PUNCT
cana-3827	116	5	marcos	marcos	PROPN
cana-3827	116	6	et	et	PROPN
cana-3827	116	7	al	al	PROPN
cana-3827	116	8	.	.	PUNCT
cana-3827	117	1	[	[	X
cana-3827	117	2	21	21	NUM
cana-3827	117	3	]	]	PUNCT
cana-3827	117	4	,	,	PUNCT
cana-3827	117	5	the	the	DET
cana-3827	117	6	education	education	NOUN
cana-3827	117	7	of	of	ADP
cana-3827	117	8	project	project	NOUN
cana-3827	117	9	management	management	NOUN
cana-3827	117	10	was	be	AUX
cana-3827	117	11	designed	design	VERB
cana-3827	117	12	traditionally	traditionally	ADV
cana-3827	117	13	.	.	PUNCT
cana-3827	118	1	this	this	DET
cana-3827	118	2	research	research	NOUN
cana-3827	118	3	work	work	NOUN
cana-3827	118	4	suggests	suggest	VERB
cana-3827	118	5	an	an	DET
cana-3827	118	6	approach	approach	NOUN
cana-3827	118	7	that	that	PRON
cana-3827	118	8	is	be	AUX
cana-3827	118	9	student	student	NOUN
cana-3827	118	10	-	-	PUNCT
cana-3827	118	11	centered	center	VERB
cana-3827	118	12	in	in	ADP
cana-3827	118	13	virtual	virtual	ADJ
cana-3827	118	14	teams	team	NOUN
cana-3827	118	15	.	.	PUNCT
cana-3827	119	1	it	it	PRON
cana-3827	119	2	investigates	investigate	VERB
cana-3827	119	3	the	the	DET
cana-3827	119	4	effect	effect	NOUN
cana-3827	119	5	on	on	ADP
cana-3827	119	6	student	student	NOUN
cana-3827	119	7	satisfaction	satisfaction	NOUN
cana-3827	119	8	and	and	CCONJ
cana-3827	119	9	learning	learning	NOUN
cana-3827	119	10	results	result	NOUN
cana-3827	119	11	.	.	PUNCT
cana-3827	120	1	the	the	DET
cana-3827	120	2	results	result	NOUN
cana-3827	120	3	of	of	ADP
cana-3827	120	4	this	this	DET
cana-3827	120	5	study	study	NOUN
cana-3827	120	6	imply	imply	VERB
cana-3827	120	7	that	that	SCONJ
cana-3827	120	8	students	student	NOUN
cana-3827	120	9	in	in	ADP
cana-3827	120	10	higher	high	ADJ
cana-3827	120	11	education	education	NOUN
cana-3827	120	12	benefit	benefit	NOUN
cana-3827	120	13	from	from	ADP
cana-3827	120	14	motivation	motivation	NOUN
cana-3827	120	15	and	and	CCONJ
cana-3827	120	16	psychological	psychological	ADJ
cana-3827	120	17	states	state	NOUN
cana-3827	120	18	.	.	PUNCT
cana-3827	121	1	current	current	ADJ
cana-3827	121	2	learning	learning	NOUN
cana-3827	121	3	theories	theory	NOUN
cana-3827	121	4	back	back	VERB
cana-3827	121	5	up	up	ADP
cana-3827	121	6	these	these	DET
cana-3827	121	7	claims	claim	NOUN
cana-3827	121	8	.	.	PUNCT
cana-3827	122	1	el	el	PROPN
cana-3827	122	2	-	-	PROPN
cana-3827	122	3	sabaa	sabaa	PROPN
cana-3827	122	4	[	[	X
cana-3827	122	5	22	22	NUM
cana-3827	122	6	]	]	PUNCT
cana-3827	122	7	analyzed	analyze	VERB
cana-3827	122	8	the	the	DET
cana-3827	122	9	talents	talent	NOUN
cana-3827	122	10	and	and	CCONJ
cana-3827	122	11	experiences	experience	NOUN
cana-3827	122	12	that	that	PRON
cana-3827	122	13	project	project	NOUN
cana-3827	122	14	managers	manager	NOUN
cana-3827	122	15	and	and	CCONJ
cana-3827	122	16	functional	functional	ADJ
cana-3827	122	17	managers	manager	NOUN
cana-3827	122	18	bring	bring	VERB
cana-3827	122	19	to	to	ADP
cana-3827	122	20	successful	successful	ADJ
cana-3827	122	21	performance	performance	NOUN
cana-3827	122	22	and	and	CCONJ
cana-3827	122	23	careers	career	NOUN
cana-3827	122	24	,	,	PUNCT
cana-3827	122	25	as	as	ADV
cana-3827	122	26	well	well	ADV
cana-3827	122	27	as	as	ADP
cana-3827	122	28	how	how	SCONJ
cana-3827	122	29	these	these	DET
cana-3827	122	30	attributes	attribute	NOUN
cana-3827	122	31	vary	vary	VERB
cana-3827	122	32	.	.	PUNCT
cana-3827	123	1	the	the	DET
cana-3827	123	2	study	study	NOUN
cana-3827	123	3	's	's	PART
cana-3827	123	4	conclusion	conclusion	NOUN
cana-3827	123	5	offers	offer	VERB
cana-3827	123	6	an	an	DET
cana-3827	123	7	conceptual	conceptual	ADJ
cana-3827	123	8	structure	structure	NOUN
cana-3827	123	9	for	for	ADP
cana-3827	123	10	enhancing	enhance	VERB
cana-3827	123	11	the	the	DET
cana-3827	123	12	recruitment	recruitment	NOUN
cana-3827	123	13	and	and	CCONJ
cana-3827	123	14	effectiveness	effectiveness	NOUN
cana-3827	123	15	of	of	ADP
cana-3827	123	16	project	project	NOUN
cana-3827	123	17	managers	manager	NOUN
cana-3827	123	18	.	.	PUNCT
cana-3827	124	1	additionally	additionally	ADV
cana-3827	124	2	,	,	PUNCT
cana-3827	124	3	project	project	NOUN
cana-3827	124	4	managers	manager	NOUN
cana-3827	124	5	'	'	PART
cana-3827	124	6	interpersonal	interpersonal	ADJ
cana-3827	124	7	abilities	ability	NOUN
cana-3827	124	8	have	have	VERB
cana-3827	124	9	a	a	DET
cana-3827	124	10	more	more	ADV
cana-3827	124	11	significant	significant	ADJ
cana-3827	124	12	impact	impact	NOUN
cana-3827	124	13	on	on	ADP
cana-3827	124	14	how	how	SCONJ
cana-3827	124	15	they	they	PRON
cana-3827	124	16	run	run	VERB
cana-3827	124	17	their	their	PRON
cana-3827	124	18	projects	project	NOUN
cana-3827	124	19	.	.	PUNCT
cana-3827	125	1	kotsiantis	kotsiantis	PROPN
cana-3827	125	2	s	s	PROPN
cana-3827	125	3	b	b	PROPN
cana-3827	125	4	[	[	X
cana-3827	125	5	23	23	NUM
cana-3827	125	6	]	]	PUNCT
cana-3827	125	7	proposed	propose	VERB
cana-3827	125	8	that	that	SCONJ
cana-3827	125	9	machine	machine	NOUN
cana-3827	125	10	learning	learn	VERB
cana-3827	125	11	techniques	technique	NOUN
cana-3827	125	12	applied	apply	VERB
cana-3827	125	13	in	in	ADP
cana-3827	125	14	the	the	DET
cana-3827	125	15	educational	educational	ADJ
cana-3827	125	16	field	field	NOUN
cana-3827	125	17	constitute	constitute	VERB
cana-3827	125	18	an	an	DET
cana-3827	125	19	emerging	emerge	VERB
cana-3827	125	20	technology	technology	NOUN
cana-3827	125	21	.	.	PUNCT
cana-3827	126	1	this	this	DET
cana-3827	126	2	article	article	NOUN
cana-3827	126	3	uses	use	VERB
cana-3827	126	4	machine	machine	NOUN
cana-3827	126	5	learning	learning	NOUN
cana-3827	126	6	approaches	approach	NOUN
cana-3827	126	7	to	to	PART
cana-3827	126	8	estimate	estimate	VERB
cana-3827	126	9	student	student	NOUN
cana-3827	126	10	grades	grade	NOUN
cana-3827	126	11	in	in	ADP
cana-3827	126	12	an	an	DET
cana-3827	126	13	effort	effort	NOUN
cana-3827	126	14	to	to	PART
cana-3827	126	15	close	close	VERB
cana-3827	126	16	the	the	DET
cana-3827	126	17	gap	gap	NOUN
cana-3827	126	18	between	between	ADP
cana-3827	126	19	current	current	ADJ
cana-3827	126	20	communications	communication	NOUN
cana-3827	126	21	on	on	ADP
cana-3827	126	22	applied	apply	VERB
cana-3827	126	23	nonlinear	nonlinear	ADJ
cana-3827	126	24	analysis	analysis	NOUN
cana-3827	126	25	issn	issn	NOUN
cana-3827	126	26	:	:	PUNCT
cana-3827	126	27	1074	1074	NUM
cana-3827	126	28	-	-	PUNCT
cana-3827	126	29	133x	133x	NUM
cana-3827	126	30	vol	vol	NOUN
cana-3827	126	31	32	32	NUM
cana-3827	126	32	no	no	NOUN
cana-3827	126	33	.	.	PUNCT
cana-3827	127	1	8s	8s	PROPN
cana-3827	127	2	(	(	PUNCT
cana-3827	127	3	2025	2025	NUM
cana-3827	127	4	)	)	PUNCT
cana-3827	127	5	851	851	NUM
cana-3827	127	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3827	127	7	regression	regression	NOUN
cana-3827	127	8	techniques	technique	NOUN
cana-3827	127	9	and	and	CCONJ
cana-3827	127	10	student	student	NOUN
cana-3827	127	11	performance	performance	NOUN
cana-3827	127	12	prediction	prediction	NOUN
cana-3827	127	13	.	.	PUNCT
cana-3827	128	1	as	as	ADP
cana-3827	128	2	a	a	DET
cana-3827	128	3	result	result	NOUN
cana-3827	128	4	,	,	PUNCT
cana-3827	128	5	a	a	DET
cana-3827	128	6	prototype	prototype	NOUN
cana-3827	128	7	tutor	tutor	NOUN
cana-3827	128	8	support	support	NOUN
cana-3827	128	9	tool	tool	NOUN
cana-3827	128	10	for	for	ADP
cana-3827	128	11	software	software	NOUN
cana-3827	128	12	has	have	AUX
cana-3827	128	13	been	be	AUX
cana-3827	128	14	created	create	VERB
cana-3827	128	15	.	.	PUNCT
cana-3827	129	1	according	accord	VERB
cana-3827	129	2	to	to	ADP
cana-3827	129	3	md	md	PROPN
cana-3827	129	4	.	.	PUNCT
cana-3827	130	1	s.	s.	PROPN
cana-3827	130	2	and	and	CCONJ
cana-3827	130	3	krishnamoorthy	krishnamoorthy	ADJ
cana-3827	130	4	[	[	X
cana-3827	130	5	24	24	NUM
cana-3827	130	6	]	]	PUNCT
cana-3827	130	7	,	,	PUNCT
cana-3827	130	8	this	this	DET
cana-3827	130	9	study	study	NOUN
cana-3827	130	10	looks	look	VERB
cana-3827	130	11	at	at	ADP
cana-3827	130	12	the	the	DET
cana-3827	130	13	predictability	predictability	NOUN
cana-3827	130	14	and	and	CCONJ
cana-3827	130	15	applicability	applicability	NOUN
cana-3827	130	16	of	of	ADP
cana-3827	130	17	a	a	DET
cana-3827	130	18	characteristic	characteristic	NOUN
cana-3827	130	19	called	call	VERB
cana-3827	130	20	the	the	DET
cana-3827	130	21	context	context	NOUN
cana-3827	130	22	-	-	PUNCT
cana-3827	130	23	dependent	dependent	ADJ
cana-3827	130	24	cognitive	cognitive	ADJ
cana-3827	130	25	abilities	ability	NOUN
cana-3827	130	26	scores	score	NOUN
cana-3827	130	27	.	.	PUNCT
cana-3827	131	1	this	this	PRON
cana-3827	131	2	facilitates	facilitate	VERB
cana-3827	131	3	the	the	DET
cana-3827	131	4	evaluation	evaluation	NOUN
cana-3827	131	5	of	of	ADP
cana-3827	131	6	a	a	DET
cana-3827	131	7	student	student	NOUN
cana-3827	131	8	's	's	PART
cana-3827	131	9	chances	chance	NOUN
cana-3827	131	10	of	of	ADP
cana-3827	131	11	succeeding	succeed	VERB
cana-3827	131	12	and	and	CCONJ
cana-3827	131	13	allows	allow	VERB
cana-3827	131	14	for	for	ADP
cana-3827	131	15	the	the	DET
cana-3827	131	16	application	application	NOUN
cana-3827	131	17	of	of	ADP
cana-3827	131	18	suitable	suitable	ADJ
cana-3827	131	19	interventions	intervention	NOUN
cana-3827	131	20	.	.	PUNCT
cana-3827	132	1	petkovic	petkovic	PROPN
cana-3827	132	2	et	et	PROPN
cana-3827	132	3	al	al	PROPN
cana-3827	132	4	.	.	PUNCT
cana-3827	133	1	[	[	X
cana-3827	133	2	25	25	NUM
cana-3827	133	3	]	]	PUNCT
cana-3827	133	4	proposed	propose	VERB
cana-3827	133	5	an	an	DET
cana-3827	133	6	analytical	analytical	ADJ
cana-3827	133	7	method	method	NOUN
cana-3827	133	8	for	for	ADP
cana-3827	133	9	assessing	assess	VERB
cana-3827	133	10	teamwork	teamwork	NOUN
cana-3827	133	11	in	in	ADP
cana-3827	133	12	software	software	NOUN
cana-3827	133	13	engineering	engineering	NOUN
cana-3827	133	14	and	and	CCONJ
cana-3827	133	15	predicting	predict	VERB
cana-3827	133	16	learning	learn	VERB
cana-3827	133	17	outcomes	outcome	NOUN
cana-3827	133	18	.	.	PUNCT
cana-3827	134	1	the	the	DET
cana-3827	134	2	random	random	ADJ
cana-3827	134	3	forest	forest	NOUN
cana-3827	134	4	(	(	PUNCT
cana-3827	134	5	rf	rf	NOUN
cana-3827	134	6	)	)	PUNCT
cana-3827	134	7	technique	technique	NOUN
cana-3827	134	8	is	be	AUX
cana-3827	134	9	used	use	VERB
cana-3827	134	10	to	to	PART
cana-3827	134	11	analyze	analyze	VERB
cana-3827	134	12	team	team	NOUN
cana-3827	134	13	performance	performance	NOUN
cana-3827	134	14	and	and	CCONJ
cana-3827	134	15	activity	activity	NOUN
cana-3827	134	16	data	datum	NOUN
cana-3827	134	17	using	use	VERB
cana-3827	134	18	a	a	DET
cana-3827	134	19	machine	machine	NOUN
cana-3827	134	20	learning	learn	VERB
cana-3827	134	21	framework	framework	NOUN
cana-3827	134	22	.	.	PUNCT
cana-3827	135	1	two	two	NUM
cana-3827	135	2	independent	independent	ADJ
cana-3827	135	3	accuracy	accuracy	NOUN
cana-3827	135	4	measures	measure	NOUN
cana-3827	135	5	were	be	AUX
cana-3827	135	6	used	use	VERB
cana-3827	135	7	to	to	PART
cana-3827	135	8	validate	validate	VERB
cana-3827	135	9	the	the	DET
cana-3827	135	10	study	study	NOUN
cana-3827	135	11	's	's	PART
cana-3827	135	12	findings	finding	NOUN
cana-3827	135	13	.	.	PUNCT
cana-3827	136	1	it	it	PRON
cana-3827	136	2	is	be	AUX
cana-3827	136	3	clearly	clearly	ADV
cana-3827	136	4	evident	evident	ADJ
cana-3827	136	5	that	that	SCONJ
cana-3827	136	6	the	the	DET
cana-3827	136	7	random	random	ADJ
cana-3827	136	8	forest	forest	NOUN
cana-3827	136	9	algorithm	algorithm	NOUN
cana-3827	136	10	can	can	AUX
cana-3827	136	11	precisely	precisely	ADV
cana-3827	136	12	predict	predict	VERB
cana-3827	136	13	how	how	SCONJ
cana-3827	136	14	the	the	DET
cana-3827	136	15	product	product	NOUN
cana-3827	136	16	team	team	NOUN
cana-3827	136	17	and	and	CCONJ
cana-3827	136	18	the	the	DET
cana-3827	136	19	software	software	NOUN
cana-3827	136	20	engineering	engineering	NOUN
cana-3827	136	21	process	process	NOUN
cana-3827	136	22	will	will	AUX
cana-3827	136	23	function	function	VERB
cana-3827	136	24	.	.	PUNCT
cana-3827	137	1	lin	lin	PROPN
cana-3827	137	2	and	and	CCONJ
cana-3827	137	3	you	you	PRON
cana-3827	138	1	[	[	X
cana-3827	138	2	26	26	NUM
cana-3827	138	3	]	]	PUNCT
cana-3827	138	4	proposed	propose	VERB
cana-3827	138	5	a	a	DET
cana-3827	138	6	model	model	NOUN
cana-3827	138	7	to	to	PART
cana-3827	138	8	forecast	forecast	VERB
cana-3827	138	9	skill	skill	NOUN
cana-3827	138	10	sets	set	NOUN
cana-3827	138	11	and	and	CCONJ
cana-3827	138	12	create	create	VERB
cana-3827	138	13	the	the	DET
cana-3827	138	14	theoretical	theoretical	ADJ
cana-3827	138	15	framework	framework	NOUN
cana-3827	138	16	to	to	PART
cana-3827	138	17	research	research	VERB
cana-3827	138	18	the	the	DET
cana-3827	138	19	project	project	NOUN
cana-3827	138	20	members	member	NOUN
cana-3827	138	21	'	'	PART
cana-3827	138	22	capacities	capacity	NOUN
cana-3827	138	23	.	.	PUNCT
cana-3827	139	1	this	this	DET
cana-3827	139	2	study	study	NOUN
cana-3827	139	3	suggests	suggest	VERB
cana-3827	139	4	a	a	DET
cana-3827	139	5	theoretical	theoretical	ADJ
cana-3827	139	6	framework	framework	NOUN
cana-3827	139	7	that	that	PRON
cana-3827	139	8	aids	aid	VERB
cana-3827	139	9	team	team	NOUN
cana-3827	139	10	leaders	leader	NOUN
cana-3827	139	11	in	in	ADP
cana-3827	139	12	identifying	identify	VERB
cana-3827	139	13	the	the	DET
cana-3827	139	14	skill	skill	NOUN
cana-3827	139	15	sets	set	VERB
cana-3827	139	16	required	require	VERB
cana-3827	139	17	for	for	ADP
cana-3827	139	18	project	project	NOUN
cana-3827	139	19	management	management	NOUN
cana-3827	139	20	.	.	PUNCT
cana-3827	140	1	parneet	parneet	PROPN
cana-3827	140	2	kaur	kaur	PROPN
cana-3827	140	3	et	et	PROPN
cana-3827	140	4	al	al	PROPN
cana-3827	140	5	.	.	PUNCT
cana-3827	141	1	[	[	X
cana-3827	141	2	27	27	NUM
cana-3827	141	3	]	]	PUNCT
cana-3827	141	4	focus	focus	NOUN
cana-3827	141	5	on	on	ADP
cana-3827	141	6	locating	locate	VERB
cana-3827	141	7	the	the	DET
cana-3827	141	8	students	student	NOUN
cana-3827	141	9	who	who	PRON
cana-3827	141	10	are	be	AUX
cana-3827	141	11	slow	slow	ADJ
cana-3827	141	12	learners	learner	NOUN
cana-3827	141	13	and	and	CCONJ
cana-3827	141	14	exhibiting	exhibit	VERB
cana-3827	141	15	them	they	PRON
cana-3827	141	16	through	through	ADP
cana-3827	141	17	predictive	predictive	ADJ
cana-3827	141	18	data	datum	NOUN
cana-3827	141	19	mining	mining	NOUN
cana-3827	141	20	methods	method	NOUN
cana-3827	141	21	.	.	PUNCT
cana-3827	142	1	the	the	DET
cana-3827	142	2	student	student	NOUN
cana-3827	142	3	academic	academic	ADJ
cana-3827	142	4	records	record	NOUN
cana-3827	142	5	dataset	dataset	VERB
cana-3827	142	6	is	be	AUX
cana-3827	142	7	examined	examine	VERB
cana-3827	142	8	using	use	VERB
cana-3827	142	9	various	various	ADJ
cana-3827	142	10	classification	classification	NOUN
cana-3827	142	11	methods	method	NOUN
cana-3827	142	12	.	.	PUNCT
cana-3827	143	1	this	this	PRON
cana-3827	143	2	helps	help	VERB
cana-3827	143	3	to	to	PART
cana-3827	143	4	predict	predict	VERB
cana-3827	143	5	accuracy	accuracy	NOUN
cana-3827	143	6	and	and	CCONJ
cana-3827	143	7	determine	determine	VERB
cana-3827	143	8	which	which	DET
cana-3827	143	9	classification	classification	NOUN
cana-3827	143	10	algorithm	algorithm	NOUN
cana-3827	143	11	performs	perform	VERB
cana-3827	143	12	best	well	ADV
cana-3827	143	13	.	.	PUNCT
cana-3827	144	1	a	a	DET
cana-3827	144	2	knowledge	knowledge	NOUN
cana-3827	144	3	flow	flow	NOUN
cana-3827	144	4	model	model	NOUN
cana-3827	144	5	is	be	AUX
cana-3827	144	6	also	also	ADV
cana-3827	144	7	demonstrated	demonstrate	VERB
cana-3827	144	8	in	in	ADP
cana-3827	144	9	this	this	DET
cana-3827	144	10	study	study	NOUN
cana-3827	144	11	among	among	ADP
cana-3827	144	12	the	the	DET
cana-3827	144	13	five	five	NUM
cana-3827	144	14	classifiers	classifier	NOUN
cana-3827	144	15	.	.	PUNCT
cana-3827	145	1	petkovic	petkovic	PROPN
cana-3827	145	2	et	et	PROPN
cana-3827	145	3	al	al	PROPN
cana-3827	145	4	.	.	PUNCT
cana-3827	146	1	[	[	X
cana-3827	146	2	28	28	NUM
cana-3827	146	3	]	]	X
cana-3827	146	4	used	use	VERB
cana-3827	146	5	an	an	DET
cana-3827	146	6	approach	approach	NOUN
cana-3827	146	7	to	to	PART
cana-3827	146	8	evaluate	evaluate	VERB
cana-3827	146	9	and	and	CCONJ
cana-3827	146	10	predict	predict	VERB
cana-3827	146	11	how	how	SCONJ
cana-3827	146	12	well	well	ADV
cana-3827	146	13	students	student	NOUN
cana-3827	146	14	will	will	AUX
cana-3827	146	15	learn	learn	VERB
cana-3827	146	16	to	to	PART
cana-3827	146	17	cooperate	cooperate	VERB
cana-3827	146	18	.	.	PUNCT
cana-3827	147	1	machine	machine	NOUN
cana-3827	147	2	learning	learning	NOUN
cana-3827	147	3	(	(	PUNCT
cana-3827	147	4	ml	ml	NOUN
cana-3827	147	5	)	)	PUNCT
cana-3827	147	6	is	be	AUX
cana-3827	147	7	used	use	VERB
cana-3827	147	8	in	in	ADP
cana-3827	147	9	the	the	DET
cana-3827	147	10	study	study	NOUN
cana-3827	147	11	,	,	PUNCT
cana-3827	147	12	namely	namely	ADV
cana-3827	147	13	random	random	ADJ
cana-3827	147	14	forest	forest	NOUN
cana-3827	147	15	categorization	categorization	NOUN
cana-3827	147	16	(	(	PUNCT
cana-3827	147	17	rf	rf	NOUN
cana-3827	147	18	)	)	PUNCT
cana-3827	147	19	.	.	PUNCT
cana-3827	148	1	ramalingam	ramalingam	NOUN
cana-3827	148	2	,	,	PUNCT
cana-3827	148	3	m.	m.	NOUN
cana-3827	148	4	and	and	CCONJ
cana-3827	148	5	ilakkiya	ilakkiya	NOUN
cana-3827	148	6	,	,	PUNCT
cana-3827	148	7	r	r	X
cana-3827	149	1	[	[	X
cana-3827	149	2	29	29	NUM
cana-3827	149	3	]	]	PUNCT
cana-3827	149	4	observed	observe	VERB
cana-3827	149	5	that	that	SCONJ
cana-3827	149	6	every	every	DET
cana-3827	149	7	year	year	NOUN
cana-3827	149	8	,	,	PUNCT
cana-3827	149	9	student	student	NOUN
cana-3827	149	10	performance	performance	NOUN
cana-3827	149	11	suffers	suffer	VERB
cana-3827	149	12	in	in	ADP
cana-3827	149	13	both	both	CCONJ
cana-3827	149	14	the	the	DET
cana-3827	149	15	classroom	classroom	NOUN
cana-3827	149	16	and	and	CCONJ
cana-3827	149	17	during	during	ADP
cana-3827	149	18	placement	placement	NOUN
cana-3827	149	19	,	,	PUNCT
cana-3827	149	20	which	which	PRON
cana-3827	149	21	calls	call	VERB
cana-3827	149	22	for	for	ADP
cana-3827	149	23	analysis	analysis	NOUN
cana-3827	149	24	in	in	ADP
cana-3827	149	25	order	order	NOUN
cana-3827	149	26	to	to	PART
cana-3827	149	27	raise	raise	VERB
cana-3827	149	28	student	student	NOUN
cana-3827	149	29	performance	performance	NOUN
cana-3827	149	30	for	for	ADP
cana-3827	149	31	subsequent	subsequent	ADJ
cana-3827	149	32	batches	batch	NOUN
cana-3827	149	33	.	.	PUNCT
cana-3827	150	1	the	the	DET
cana-3827	150	2	only	only	ADJ
cana-3827	150	3	factors	factor	NOUN
cana-3827	150	4	influencing	influence	VERB
cana-3827	150	5	the	the	DET
cana-3827	150	6	students	student	NOUN
cana-3827	150	7	'	'	PART
cana-3827	150	8	placement	placement	NOUN
cana-3827	150	9	performance	performance	NOUN
cana-3827	150	10	are	be	AUX
cana-3827	150	11	their	their	PRON
cana-3827	150	12	academic	academic	ADJ
cana-3827	150	13	and	and	CCONJ
cana-3827	150	14	extracurricular	extracurricular	ADJ
cana-3827	150	15	accomplishments	accomplishment	NOUN
cana-3827	150	16	.	.	PUNCT
cana-3827	151	1	as	as	ADP
cana-3827	151	2	a	a	DET
cana-3827	151	3	result	result	NOUN
cana-3827	151	4	,	,	PUNCT
cana-3827	151	5	both	both	PRON
cana-3827	151	6	will	will	AUX
cana-3827	151	7	be	be	AUX
cana-3827	151	8	considered	consider	VERB
cana-3827	151	9	.	.	PUNCT
cana-3827	152	1	kolo	kolo	PROPN
cana-3827	152	2	,	,	PUNCT
cana-3827	152	3	d.k	d.k	PROPN
cana-3827	152	4	.	.	PROPN
cana-3827	152	5	and	and	CCONJ
cana-3827	152	6	adepoju	adepoju	PROPN
cana-3827	152	7	,	,	PUNCT
cana-3827	152	8	s.a	s.a	PROPN
cana-3827	152	9	.	.	PUNCT
cana-3827	153	1	[	[	X
cana-3827	153	2	30	30	NUM
cana-3827	153	3	]	]	PUNCT
cana-3827	153	4	suggested	suggest	VERB
cana-3827	153	5	that	that	SCONJ
cana-3827	153	6	the	the	DET
cana-3827	153	7	foundation	foundation	NOUN
cana-3827	153	8	of	of	ADP
cana-3827	153	9	a	a	DET
cana-3827	153	10	society	society	NOUN
cana-3827	153	11	's	's	PART
cana-3827	153	12	efforts	effort	NOUN
cana-3827	153	13	to	to	PART
cana-3827	153	14	raise	raise	VERB
cana-3827	153	15	the	the	DET
cana-3827	153	16	standard	standard	NOUN
cana-3827	153	17	of	of	ADP
cana-3827	153	18	its	its	PRON
cana-3827	153	19	citizens	citizen	NOUN
cana-3827	153	20	is	be	AUX
cana-3827	153	21	its	its	PRON
cana-3827	153	22	education	education	NOUN
cana-3827	153	23	.	.	PUNCT
cana-3827	154	1	the	the	DET
cana-3827	154	2	ability	ability	NOUN
cana-3827	154	3	to	to	PART
cana-3827	154	4	forecast	forecast	VERB
cana-3827	154	5	student	student	NOUN
cana-3827	154	6	academic	academic	ADJ
cana-3827	154	7	success	success	NOUN
cana-3827	154	8	is	be	AUX
cana-3827	154	9	necessary	necessary	ADJ
cana-3827	154	10	to	to	PART
cana-3827	154	11	raise	raise	VERB
cana-3827	154	12	the	the	DET
cana-3827	154	13	standard	standard	NOUN
cana-3827	154	14	of	of	ADP
cana-3827	154	15	education	education	NOUN
cana-3827	154	16	.	.	PUNCT
cana-3827	155	1	the	the	DET
cana-3827	155	2	decision	decision	NOUN
cana-3827	155	3	tree	tree	NOUN
cana-3827	155	4	structure	structure	NOUN
cana-3827	155	5	is	be	AUX
cana-3827	155	6	created	create	VERB
cana-3827	155	7	and	and	CCONJ
cana-3827	155	8	implemented	implement	VERB
cana-3827	155	9	.	.	PUNCT
cana-3827	156	1	it	it	PRON
cana-3827	156	2	was	be	AUX
cana-3827	156	3	shown	show	VERB
cana-3827	156	4	that	that	SCONJ
cana-3827	156	5	a	a	DET
cana-3827	156	6	variety	variety	NOUN
cana-3827	156	7	of	of	ADP
cana-3827	156	8	variables	variable	NOUN
cana-3827	156	9	,	,	PUNCT
cana-3827	156	10	including	include	VERB
cana-3827	156	11	the	the	DET
cana-3827	156	12	students	student	NOUN
cana-3827	156	13	'	'	PART
cana-3827	156	14	financial	financial	ADJ
cana-3827	156	15	situation	situation	NOUN
cana-3827	156	16	,	,	PUNCT
cana-3827	156	17	learning	learn	VERB
cana-3827	156	18	motivation	motivation	NOUN
cana-3827	156	19	,	,	PUNCT
cana-3827	156	20	and	and	CCONJ
cana-3827	156	21	gender	gender	NOUN
cana-3827	156	22	,	,	PUNCT
cana-3827	156	23	had	have	VERB
cana-3827	156	24	an	an	DET
cana-3827	156	25	impact	impact	NOUN
cana-3827	156	26	on	on	ADP
cana-3827	156	27	their	their	PRON
cana-3827	156	28	performance	performance	NOUN
cana-3827	156	29	.	.	PUNCT
cana-3827	157	1	e.b	e.b	PROPN
cana-3827	157	2	.	.	PROPN
cana-3827	157	3	costa	costa	PROPN
cana-3827	157	4	et	et	PROPN
cana-3827	157	5	al	al	PROPN
cana-3827	157	6	.	.	PUNCT
cana-3827	158	1	[	[	X
cana-3827	158	2	31	31	NUM
cana-3827	158	3	]	]	PUNCT
cana-3827	158	4	observed	observe	VERB
cana-3827	158	5	that	that	SCONJ
cana-3827	158	6	the	the	DET
cana-3827	158	7	methods	method	NOUN
cana-3827	158	8	examined	examine	VERB
cana-3827	158	9	in	in	ADP
cana-3827	158	10	our	our	PRON
cana-3827	158	11	study	study	NOUN
cana-3827	158	12	can	can	AUX
cana-3827	158	13	predict	predict	VERB
cana-3827	158	14	which	which	PRON
cana-3827	158	15	students	student	NOUN
cana-3827	158	16	are	be	AUX
cana-3827	158	17	most	most	ADV
cana-3827	158	18	likely	likely	ADJ
cana-3827	158	19	to	to	PART
cana-3827	158	20	fail	fail	VERB
cana-3827	158	21	;	;	PUNCT
cana-3827	158	22	some	some	PRON
cana-3827	158	23	of	of	ADP
cana-3827	158	24	these	these	DET
cana-3827	158	25	methods	method	NOUN
cana-3827	158	26	are	be	AUX
cana-3827	158	27	more	more	ADV
cana-3827	158	28	effective	effective	ADJ
cana-3827	158	29	when	when	SCONJ
cana-3827	158	30	data	datum	NOUN
cana-3827	158	31	pre	pre	ADJ
cana-3827	158	32	-	-	ADJ
cana-3827	158	33	processing	processing	NOUN
cana-3827	158	34	is	be	AUX
cana-3827	158	35	used	use	VERB
cana-3827	158	36	.	.	PUNCT
cana-3827	159	1	the	the	DET
cana-3827	159	2	support	support	NOUN
cana-3827	159	3	vector	vector	NOUN
cana-3827	159	4	machine	machine	NOUN
cana-3827	159	5	method	method	NOUN
cana-3827	159	6	performs	perform	VERB
cana-3827	159	7	better	well	ADJ
cana-3827	159	8	than	than	ADP
cana-3827	159	9	other	other	ADJ
cana-3827	159	10	methods	method	NOUN
cana-3827	159	11	.	.	PUNCT
cana-3827	160	1	as	as	SCONJ
cana-3827	160	2	stated	state	VERB
cana-3827	160	3	by	by	ADP
cana-3827	160	4	m.	m.	PROPN
cana-3827	160	5	kumar	kumar	PROPN
cana-3827	160	6	et	et	PROPN
cana-3827	160	7	al	al	PROPN
cana-3827	160	8	.	.	PUNCT
cana-3827	161	1	[	[	X
cana-3827	161	2	32	32	NUM
cana-3827	161	3	]	]	PUNCT
cana-3827	161	4	,	,	PUNCT
cana-3827	161	5	the	the	DET
cana-3827	161	6	fundamental	fundamental	ADJ
cana-3827	161	7	focus	focus	NOUN
cana-3827	161	8	of	of	ADP
cana-3827	161	9	this	this	DET
cana-3827	161	10	article	article	NOUN
cana-3827	161	11	is	be	AUX
cana-3827	161	12	to	to	PART
cana-3827	161	13	provide	provide	VERB
cana-3827	161	14	readers	reader	NOUN
cana-3827	161	15	with	with	ADP
cana-3827	161	16	a	a	DET
cana-3827	161	17	comprehensive	comprehensive	ADJ
cana-3827	161	18	understanding	understanding	NOUN
cana-3827	161	19	of	of	ADP
cana-3827	161	20	the	the	DET
cana-3827	161	21	various	various	ADJ
cana-3827	161	22	data	data	NOUN
cana-3827	161	23	mining	mining	NOUN
cana-3827	161	24	techniques	technique	NOUN
cana-3827	161	25	that	that	PRON
cana-3827	161	26	have	have	AUX
cana-3827	161	27	been	be	AUX
cana-3827	161	28	applied	apply	VERB
cana-3827	161	29	to	to	PART
cana-3827	161	30	evaluate	evaluate	VERB
cana-3827	161	31	student	student	NOUN
cana-3827	161	32	growth	growth	NOUN
cana-3827	161	33	and	and	CCONJ
cana-3827	161	34	efficiency	efficiency	NOUN
cana-3827	161	35	,	,	PUNCT
cana-3827	161	36	since	since	SCONJ
cana-3827	161	37	there	there	PRON
cana-3827	161	38	are	be	VERB
cana-3827	161	39	several	several	ADJ
cana-3827	161	40	methods	method	NOUN
cana-3827	161	41	for	for	ADP
cana-3827	161	42	classifying	classify	VERB
cana-3827	161	43	data	datum	NOUN
cana-3827	161	44	,	,	PUNCT
cana-3827	161	45	ahmed	ahme	VERB
cana-3827	161	46	a	a	DET
cana-3827	161	47	b	b	PROPN
cana-3827	161	48	e	e	X
cana-3827	161	49	d	d	PROPN
cana-3827	161	50	and	and	CCONJ
cana-3827	161	51	elaraby	elaraby	PROPN
cana-3827	162	1	i	i	PRON
cana-3827	162	2	s	s	VERB
cana-3827	163	1	[	[	X
cana-3827	163	2	33	33	NUM
cana-3827	163	3	]	]	PUNCT
cana-3827	163	4	suggested	suggest	VERB
cana-3827	163	5	using	use	VERB
cana-3827	163	6	the	the	DET
cana-3827	163	7	classification	classification	NOUN
cana-3827	163	8	process	process	NOUN
cana-3827	163	9	to	to	PART
cana-3827	163	10	forecast	forecast	VERB
cana-3827	163	11	students	student	NOUN
cana-3827	163	12	'	'	PART
cana-3827	163	13	ultimate	ultimate	ADJ
cana-3827	163	14	scores	score	NOUN
cana-3827	163	15	.	.	PUNCT
cana-3827	164	1	in	in	ADP
cana-3827	164	2	this	this	DET
cana-3827	164	3	case	case	NOUN
cana-3827	164	4	,	,	PUNCT
cana-3827	164	5	the	the	DET
cana-3827	164	6	decision	decision	NOUN
cana-3827	164	7	tree	tree	NOUN
cana-3827	164	8	(	(	PUNCT
cana-3827	164	9	id3	id3	NOUN
cana-3827	164	10	)	)	PUNCT
cana-3827	164	11	technique	technique	NOUN
cana-3827	164	12	is	be	AUX
cana-3827	164	13	employed	employ	VERB
cana-3827	164	14	.	.	PUNCT
cana-3827	165	1	a	a	DET
cana-3827	165	2	graph	graph	NOUN
cana-3827	165	3	convolutional	convolutional	ADJ
cana-3827	165	4	network	network	NOUN
cana-3827	165	5	-	-	PUNCT
cana-3827	165	6	based	base	VERB
cana-3827	165	7	approach	approach	NOUN
cana-3827	165	8	was	be	AUX
cana-3827	165	9	presented	present	VERB
cana-3827	165	10	by	by	ADP
cana-3827	165	11	alnasyan	alnasyan	PROPN
cana-3827	165	12	et	et	PROPN
cana-3827	165	13	al	al	PROPN
cana-3827	165	14	.	.	PUNCT
cana-3827	166	1	[	[	X
cana-3827	166	2	34	34	NUM
cana-3827	166	3	]	]	PUNCT
cana-3827	166	4	to	to	PART
cana-3827	166	5	identify	identify	VERB
cana-3827	166	6	students	student	NOUN
cana-3827	166	7	'	'	PART
cana-3827	166	8	participation	participation	NOUN
cana-3827	166	9	in	in	ADP
cana-3827	166	10	different	different	ADJ
cana-3827	166	11	behavioural	behavioural	ADJ
cana-3827	166	12	patterns	pattern	NOUN
cana-3827	166	13	.	.	PUNCT
cana-3827	167	1	the	the	DET
cana-3827	167	2	paradigm	paradigm	NOUN
cana-3827	167	3	can	can	AUX
cana-3827	167	4	be	be	AUX
cana-3827	167	5	used	use	VERB
cana-3827	167	6	to	to	ADP
cana-3827	167	7	a	a	DET
cana-3827	167	8	wide	wide	ADJ
cana-3827	167	9	range	range	NOUN
cana-3827	167	10	of	of	ADP
cana-3827	167	11	knowledge	knowledge	NOUN
cana-3827	167	12	graphs	graph	NOUN
cana-3827	167	13	by	by	ADP
cana-3827	167	14	default	default	NOUN
cana-3827	167	15	.	.	PUNCT
cana-3827	168	1	zhang	zhang	PROPN
cana-3827	168	2	and	and	CCONJ
cana-3827	168	3	yang	yang	PROPN
cana-3827	169	1	[	[	X
cana-3827	169	2	35	35	NUM
cana-3827	169	3	]	]	PUNCT
cana-3827	169	4	developed	develop	VERB
cana-3827	169	5	a	a	DET
cana-3827	169	6	deep	deep	ADJ
cana-3827	169	7	learning	learning	NOUN
cana-3827	169	8	model	model	NOUN
cana-3827	169	9	using	use	VERB
cana-3827	169	10	the	the	DET
cana-3827	169	11	nutcracker	nutcracker	NOUN
cana-3827	169	12	optimisation	optimisation	NOUN
cana-3827	169	13	algorithm	algorithm	NOUN
cana-3827	169	14	to	to	PART
cana-3827	169	15	forecast	forecast	VERB
cana-3827	169	16	students	student	NOUN
cana-3827	169	17	'	'	PART
cana-3827	169	18	final	final	ADJ
cana-3827	169	19	grades	grade	NOUN
cana-3827	169	20	.	.	PUNCT
cana-3827	170	1	4	4	X
cana-3827	170	2	.	.	X
cana-3827	170	3	dataset	dataset	ADJ
cana-3827	170	4	description	description	NOUN
cana-3827	170	5	the	the	DET
cana-3827	170	6	dataset	dataset	NOUN
cana-3827	170	7	comprises	comprise	NOUN
cana-3827	170	8	of	of	ADP
cana-3827	170	9	soft	soft	ADJ
cana-3827	170	10	,	,	PUNCT
cana-3827	170	11	lif	lif	PROPN
cana-3827	170	12	eand	eand	PROPN
cana-3827	170	13	technical	technical	ADJ
cana-3827	170	14	skills	skill	NOUN
cana-3827	170	15	which	which	PRON
cana-3827	170	16	are	be	AUX
cana-3827	170	17	the	the	DET
cana-3827	170	18	key	key	ADJ
cana-3827	170	19	components	component	NOUN
cana-3827	170	20	of	of	ADP
cana-3827	170	21	this	this	DET
cana-3827	170	22	study	study	NOUN
cana-3827	170	23	.	.	PUNCT
cana-3827	171	1	communications	communication	NOUN
cana-3827	171	2	on	on	ADP
cana-3827	171	3	applied	apply	VERB
cana-3827	171	4	nonlinear	nonlinear	ADJ
cana-3827	171	5	analysis	analysis	NOUN
cana-3827	171	6	issn	issn	NOUN
cana-3827	171	7	:	:	PUNCT
cana-3827	171	8	1074	1074	NUM
cana-3827	171	9	-	-	PUNCT
cana-3827	171	10	133x	133x	NUM
cana-3827	171	11	vol	vol	NOUN
cana-3827	171	12	32	32	NUM
cana-3827	171	13	no	no	NOUN
cana-3827	171	14	.	.	PUNCT
cana-3827	172	1	8s	8s	PROPN
cana-3827	172	2	(	(	PUNCT
cana-3827	172	3	2025	2025	NUM
cana-3827	172	4	)	)	PUNCT
cana-3827	172	5	852	852	NUM
cana-3827	172	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3827	172	7	the	the	DET
cana-3827	172	8	dataset	dataset	NOUN
cana-3827	172	9	was	be	AUX
cana-3827	172	10	prepared	prepare	VERB
cana-3827	172	11	from	from	ADP
cana-3827	172	12	the	the	DET
cana-3827	172	13	inputs	input	NOUN
cana-3827	172	14	from	from	ADP
cana-3827	172	15	the	the	DET
cana-3827	172	16	questionnaire	questionnaire	NOUN
cana-3827	172	17	distributed	distribute	VERB
cana-3827	172	18	among	among	ADP
cana-3827	172	19	computer	computer	NOUN
cana-3827	172	20	science	science	NOUN
cana-3827	172	21	students	student	NOUN
cana-3827	172	22	at	at	ADP
cana-3827	172	23	various	various	ADJ
cana-3827	172	24	colleges	college	NOUN
cana-3827	172	25	in	in	ADP
cana-3827	172	26	kerala	kerala	PROPN
cana-3827	172	27	,	,	PUNCT
cana-3827	172	28	india	india	PROPN
cana-3827	172	29	.	.	PUNCT
cana-3827	173	1	this	this	PRON
cana-3827	173	2	includes	include	VERB
cana-3827	173	3	skill	skill	NOUN
cana-3827	173	4	-	-	PUNCT
cana-3827	173	5	related	relate	VERB
cana-3827	173	6	quiz	quiz	NOUN
cana-3827	173	7	assessments	assessment	NOUN
cana-3827	173	8	.	.	PUNCT
cana-3827	174	1	the	the	DET
cana-3827	174	2	soft	soft	ADJ
cana-3827	174	3	skills	skill	NOUN
cana-3827	174	4	of	of	ADP
cana-3827	174	5	each	each	DET
cana-3827	174	6	student	student	NOUN
cana-3827	174	7	are	be	AUX
cana-3827	174	8	evaluated	evaluate	VERB
cana-3827	174	9	based	base	VERB
cana-3827	174	10	on	on	ADP
cana-3827	174	11	18	18	NUM
cana-3827	174	12	features	feature	NOUN
cana-3827	174	13	and	and	CCONJ
cana-3827	174	14	5	5	NUM
cana-3827	174	15	quiz	quiz	NOUN
cana-3827	174	16	questions	question	NOUN
cana-3827	174	17	based	base	VERB
cana-3827	174	18	on	on	ADP
cana-3827	174	19	decisionmaking	decisionmake	VERB
cana-3827	174	20	,	,	PUNCT
cana-3827	174	21	planning	planning	NOUN
cana-3827	174	22	,	,	PUNCT
cana-3827	174	23	creativity	creativity	NOUN
cana-3827	174	24	,	,	PUNCT
cana-3827	174	25	teamwork	teamwork	NOUN
cana-3827	174	26	,	,	PUNCT
cana-3827	174	27	meeting	meeting	NOUN
cana-3827	174	28	deadlines	deadline	NOUN
cana-3827	174	29	,	,	PUNCT
cana-3827	174	30	and	and	CCONJ
cana-3827	174	31	multitasking	multitaske	VERB
cana-3827	174	32	.	.	PUNCT
cana-3827	175	1	for	for	ADP
cana-3827	175	2	assessing	assess	VERB
cana-3827	175	3	life	life	NOUN
cana-3827	175	4	skills	skill	NOUN
cana-3827	175	5	,	,	PUNCT
cana-3827	175	6	a	a	DET
cana-3827	175	7	questionnaire	questionnaire	NOUN
cana-3827	175	8	carries	carry	VERB
cana-3827	175	9	nine	nine	NUM
cana-3827	175	10	features	feature	NOUN
cana-3827	175	11	and	and	CCONJ
cana-3827	175	12	five	five	NUM
cana-3827	175	13	quiz	quiz	NOUN
cana-3827	175	14	questions	question	NOUN
cana-3827	175	15	based	base	VERB
cana-3827	175	16	on	on	ADP
cana-3827	175	17	presentation	presentation	NOUN
cana-3827	175	18	skills	skill	NOUN
cana-3827	175	19	,	,	PUNCT
cana-3827	175	20	leadership	leadership	NOUN
cana-3827	175	21	,	,	PUNCT
cana-3827	175	22	good	good	ADJ
cana-3827	175	23	listening	listening	NOUN
cana-3827	175	24	,	,	PUNCT
cana-3827	175	25	communication	communication	NOUN
cana-3827	175	26	skills	skill	NOUN
cana-3827	175	27	,	,	PUNCT
cana-3827	175	28	and	and	CCONJ
cana-3827	175	29	conflict	conflict	NOUN
cana-3827	175	30	in	in	ADP
cana-3827	175	31	an	an	DET
cana-3827	175	32	area	area	NOUN
cana-3827	175	33	of	of	ADP
cana-3827	175	34	interest	interest	NOUN
cana-3827	175	35	.	.	PUNCT
cana-3827	176	1	to	to	PART
cana-3827	176	2	measure	measure	VERB
cana-3827	176	3	technical	technical	ADJ
cana-3827	176	4	skills	skill	NOUN
cana-3827	176	5	,	,	PUNCT
cana-3827	176	6	there	there	PRON
cana-3827	176	7	are	be	VERB
cana-3827	176	8	nine	nine	NUM
cana-3827	176	9	features	feature	NOUN
cana-3827	176	10	and	and	CCONJ
cana-3827	176	11	five	five	NUM
cana-3827	176	12	quiz	quiz	NOUN
cana-3827	176	13	questions	question	NOUN
cana-3827	176	14	consisting	consist	VERB
cana-3827	176	15	of	of	ADP
cana-3827	176	16	time	time	NOUN
cana-3827	176	17	management	management	NOUN
cana-3827	176	18	,	,	PUNCT
cana-3827	176	19	quality	quality	NOUN
cana-3827	176	20	management	management	NOUN
cana-3827	176	21	,	,	PUNCT
cana-3827	176	22	new	new	ADJ
cana-3827	176	23	technology	technology	NOUN
cana-3827	176	24	,	,	PUNCT
cana-3827	176	25	new	new	ADJ
cana-3827	176	26	hands	hand	NOUN
cana-3827	176	27	-	-	PUNCT
cana-3827	176	28	on	on	ADP
cana-3827	176	29	tools	tool	NOUN
cana-3827	176	30	,	,	PUNCT
cana-3827	176	31	cost	cost	NOUN
cana-3827	176	32	or	or	CCONJ
cana-3827	176	33	time	time	NOUN
cana-3827	176	34	management	management	NOUN
cana-3827	176	35	challenges	challenge	NOUN
cana-3827	176	36	,	,	PUNCT
cana-3827	176	37	and	and	CCONJ
cana-3827	176	38	so	so	ADV
cana-3827	176	39	on	on	ADV
cana-3827	176	40	and	and	CCONJ
cana-3827	176	41	so	so	ADV
cana-3827	176	42	forth	forth	ADV
cana-3827	176	43	.	.	PUNCT
cana-3827	177	1	the	the	DET
cana-3827	177	2	above	above	ADV
cana-3827	177	3	-	-	PUNCT
cana-3827	177	4	mentioned	mention	VERB
cana-3827	177	5	dataset	dataset	NOUN
cana-3827	177	6	is	be	AUX
cana-3827	177	7	used	use	VERB
cana-3827	177	8	to	to	PART
cana-3827	177	9	evaluate	evaluate	VERB
cana-3827	177	10	,	,	PUNCT
cana-3827	177	11	predict	predict	VERB
cana-3827	177	12	,	,	PUNCT
cana-3827	177	13	or	or	CCONJ
cana-3827	177	14	classify	classify	VERB
cana-3827	177	15	the	the	DET
cana-3827	177	16	student	student	NOUN
cana-3827	177	17	’s	’s	PART
cana-3827	177	18	strengths	strength	NOUN
cana-3827	177	19	and	and	CCONJ
cana-3827	177	20	areas	area	NOUN
cana-3827	177	21	for	for	ADP
cana-3827	177	22	improvement	improvement	NOUN
cana-3827	177	23	based	base	VERB
cana-3827	177	24	on	on	ADP
cana-3827	177	25	three	three	NUM
cana-3827	177	26	skillsets	skillset	NOUN
cana-3827	177	27	.	.	PUNCT
cana-3827	178	1	the	the	DET
cana-3827	178	2	numerous	numerous	ADJ
cana-3827	178	3	criteria	criterion	NOUN
cana-3827	178	4	chosen	choose	VERB
cana-3827	178	5	to	to	PART
cana-3827	178	6	predict	predict	VERB
cana-3827	178	7	the	the	DET
cana-3827	178	8	soft	soft	ADJ
cana-3827	178	9	skills	skill	NOUN
cana-3827	178	10	,	,	PUNCT
cana-3827	178	11	life	life	NOUN
cana-3827	178	12	skills	skill	NOUN
cana-3827	178	13	,	,	PUNCT
cana-3827	178	14	and	and	CCONJ
cana-3827	178	15	technical	technical	ADJ
cana-3827	178	16	skills	skill	NOUN
cana-3827	178	17	of	of	ADP
cana-3827	178	18	software	software	NOUN
cana-3827	178	19	engineering	engineering	NOUN
cana-3827	178	20	among	among	ADP
cana-3827	178	21	computer	computer	NOUN
cana-3827	178	22	science	science	NOUN
cana-3827	178	23	students	student	NOUN
cana-3827	178	24	are	be	AUX
cana-3827	178	25	presented	present	VERB
cana-3827	178	26	in	in	ADP
cana-3827	178	27	tables	table	NOUN
cana-3827	178	28	1	1	NUM
cana-3827	178	29	,	,	PUNCT
cana-3827	178	30	2	2	NUM
cana-3827	178	31	,	,	PUNCT
cana-3827	178	32	and	and	CCONJ
cana-3827	178	33	3	3	X
cana-3827	178	34	.	.	NOUN
cana-3827	178	35	table	table	NOUN
cana-3827	178	36	1	1	NUM
cana-3827	178	37	.	.	PUNCT
cana-3827	179	1	attributes	attribute	NOUN
cana-3827	179	2	used	use	VERB
cana-3827	179	3	to	to	PART
cana-3827	179	4	predict	predict	VERB
cana-3827	179	5	soft	soft	ADJ
cana-3827	179	6	skills	skill	NOUN
cana-3827	179	7	sl	sl	VERB
cana-3827	179	8	no	no	DET
cana-3827	179	9	attributes	attribute	NOUN
cana-3827	179	10	to	to	PART
cana-3827	179	11	predict	predict	VERB
cana-3827	179	12	soft	soft	ADJ
cana-3827	179	13	skills	skill	NOUN
cana-3827	179	14	1	1	NUM
cana-3827	179	15	decision	decision	NOUN
cana-3827	179	16	-	-	PUNCT
cana-3827	179	17	making	make	VERB
cana-3827	179	18	2	2	NUM
cana-3827	179	19	planning	planning	NOUN
cana-3827	179	20	3	3	NUM
cana-3827	179	21	teamwork	teamwork	NOUN
cana-3827	179	22	experience	experience	NOUN
cana-3827	179	23	4	4	NUM
cana-3827	179	24	confident	confident	ADJ
cana-3827	179	25	management	management	NOUN
cana-3827	179	26	5	5	NUM
cana-3827	179	27	meeting	meeting	NOUN
cana-3827	179	28	deadlines	deadline	NOUN
cana-3827	179	29	6	6	NUM
cana-3827	179	30	stress	stress	NOUN
cana-3827	179	31	critical	critical	ADJ
cana-3827	179	32	situations	situation	NOUN
cana-3827	179	33	7	7	NUM
cana-3827	179	34	communicate	communicate	VERB
cana-3827	179	35	closed	closed	ADJ
cana-3827	179	36	connect	connect	VERB
cana-3827	179	37	8	8	NUM
cana-3827	179	38	boosting	boost	VERB
cana-3827	179	39	creativity	creativity	NOUN
cana-3827	179	40	9	9	NUM
cana-3827	179	41	multitask	multitask	NOUN
cana-3827	179	42	10	10	NUM
cana-3827	179	43	working	work	VERB
cana-3827	179	44	over	over	ADP
cana-3827	179	45	hours	hour	NOUN
cana-3827	179	46	11	11	NUM
cana-3827	179	47	opinion	opinion	NOUN
cana-3827	179	48	differences	difference	NOUN
cana-3827	179	49	12	12	NUM
cana-3827	179	50	resolving	resolve	VERB
cana-3827	179	51	conflict	conflict	NOUN
cana-3827	179	52	13	13	NUM
cana-3827	179	53	conveying	convey	VERB
cana-3827	179	54	unpopular	unpopular	ADJ
cana-3827	179	55	information	information	NOUN
cana-3827	179	56	14	14	NUM
cana-3827	179	57	working	work	VERB
cana-3827	179	58	alone	alone	ADV
cana-3827	179	59	15	15	NUM
cana-3827	179	60	rearranging	rearrange	VERB
cana-3827	179	61	schedules	schedule	NOUN
cana-3827	179	62	16	16	NUM
cana-3827	179	63	inspiration	inspiration	NOUN
cana-3827	179	64	17	17	NUM
cana-3827	179	65	motivation	motivation	NOUN
cana-3827	179	66	18	18	NUM
cana-3827	179	67	emotional	emotional	ADJ
cana-3827	179	68	intelligence	intelligence	NOUN
cana-3827	179	69	table	table	NOUN
cana-3827	179	70	2	2	NUM
cana-3827	179	71	.	.	PUNCT
cana-3827	179	72	attributes	attribute	NOUN
cana-3827	179	73	used	use	VERB
cana-3827	179	74	to	to	PART
cana-3827	179	75	predict	predict	VERB
cana-3827	179	76	life	life	NOUN
cana-3827	179	77	skills	skill	NOUN
cana-3827	179	78	sl	sl	VERB
cana-3827	179	79	no	no	DET
cana-3827	179	80	attributes	attribute	NOUN
cana-3827	179	81	to	to	PART
cana-3827	179	82	predict	predict	VERB
cana-3827	179	83	life	life	NOUN
cana-3827	179	84	skills	skill	NOUN
cana-3827	179	85	1	1	NUM
cana-3827	179	86	demonstrator	demonstrator	NOUN
cana-3827	179	87	2	2	NUM
cana-3827	179	88	good	good	ADJ
cana-3827	179	89	leader	leader	NOUN
cana-3827	179	90	3	3	NUM
cana-3827	179	91	good	good	ADJ
cana-3827	179	92	listening	listen	VERB
cana-3827	179	93	4	4	NUM
cana-3827	179	94	oral	oral	ADJ
cana-3827	179	95	message	message	NOUN
cana-3827	179	96	communication	communication	NOUN
cana-3827	179	97	5	5	NUM
cana-3827	179	98	team	team	NOUN
cana-3827	179	99	building	build	VERB
cana-3827	179	100	6	6	NUM
cana-3827	179	101	area	area	NOUN
cana-3827	179	102	of	of	ADP
cana-3827	179	103	conflict	conflict	NOUN
cana-3827	179	104	interest	interest	NOUN
cana-3827	179	105	7	7	NUM
cana-3827	179	106	good	good	ADJ
cana-3827	179	107	presenter	presenter	NOUN
cana-3827	179	108	8	8	NUM
cana-3827	179	109	coach	coach	NOUN
cana-3827	179	110	others	other	NOUN
cana-3827	179	111	9	9	NUM
cana-3827	179	112	interpersonal	interpersonal	ADJ
cana-3827	179	113	communication	communication	NOUN
cana-3827	179	114	table	table	NOUN
cana-3827	179	115	3	3	NUM
cana-3827	179	116	.	.	PUNCT
cana-3827	179	117	attributes	attribute	NOUN
cana-3827	179	118	used	use	VERB
cana-3827	179	119	to	to	PART
cana-3827	179	120	predict	predict	VERB
cana-3827	179	121	technical	technical	ADJ
cana-3827	179	122	skills	skill	NOUN
cana-3827	179	123	sl	sl	VERB
cana-3827	179	124	no	no	DET
cana-3827	179	125	attributes	attribute	NOUN
cana-3827	179	126	to	to	PART
cana-3827	179	127	predict	predict	VERB
cana-3827	179	128	technical	technical	ADJ
cana-3827	179	129	skills	skill	NOUN
cana-3827	179	130	1	1	NUM
cana-3827	179	131	time	time	NOUN
cana-3827	179	132	management	management	NOUN
cana-3827	179	133	2	2	NUM
cana-3827	179	134	quality	quality	NOUN
cana-3827	179	135	management	management	NOUN
cana-3827	179	136	communications	communication	NOUN
cana-3827	179	137	on	on	ADP
cana-3827	179	138	applied	apply	VERB
cana-3827	179	139	nonlinear	nonlinear	ADJ
cana-3827	179	140	analysis	analysis	NOUN
cana-3827	179	141	issn	issn	NOUN
cana-3827	179	142	:	:	PUNCT
cana-3827	179	143	1074	1074	NUM
cana-3827	179	144	-	-	PUNCT
cana-3827	179	145	133x	133x	NUM
cana-3827	179	146	vol	vol	NOUN
cana-3827	179	147	32	32	NUM
cana-3827	179	148	no	no	NOUN
cana-3827	179	149	.	.	PUNCT
cana-3827	180	1	8s	8s	PROPN
cana-3827	180	2	(	(	PUNCT
cana-3827	180	3	2025	2025	NUM
cana-3827	180	4	)	)	PUNCT
cana-3827	180	5	853	853	NUM
cana-3827	180	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3827	180	7	3	3	NUM
cana-3827	180	8	blend	blend	NOUN
cana-3827	180	9	of	of	ADP
cana-3827	180	10	management	management	NOUN
cana-3827	180	11	plus	plus	CCONJ
cana-3827	180	12	technical	technical	ADJ
cana-3827	180	13	subject	subject	NOUN
cana-3827	180	14	4	4	NUM
cana-3827	180	15	gaining	gain	VERB
cana-3827	180	16	extra	extra	ADJ
cana-3827	180	17	information	information	NOUN
cana-3827	180	18	5	5	NUM
cana-3827	180	19	new	new	ADJ
cana-3827	180	20	hands	hand	NOUN
cana-3827	180	21	-	-	PUNCT
cana-3827	180	22	on	on	ADP
cana-3827	180	23	tools	tool	NOUN
cana-3827	180	24	6	6	NUM
cana-3827	180	25	group	group	NOUN
cana-3827	180	26	project	project	NOUN
cana-3827	180	27	activities	activity	NOUN
cana-3827	180	28	7	7	NUM
cana-3827	180	29	developing	develop	VERB
cana-3827	180	30	projects	project	NOUN
cana-3827	180	31	alone	alone	ADV
cana-3827	180	32	8	8	NUM
cana-3827	180	33	cost	cost	NOUN
cana-3827	180	34	or	or	CCONJ
cana-3827	180	35	time	time	NOUN
cana-3827	180	36	management	management	NOUN
cana-3827	180	37	challenges	challenge	VERB
cana-3827	180	38	9	9	NUM
cana-3827	180	39	administrative	administrative	ADJ
cana-3827	180	40	tasks	task	NOUN
cana-3827	180	41	5	5	NUM
cana-3827	180	42	.	.	PUNCT
cana-3827	180	43	proposed	propose	VERB
cana-3827	180	44	methodology	methodology	NOUN
cana-3827	180	45	figure	figure	NOUN
cana-3827	180	46	1	1	NUM
cana-3827	180	47	:	:	PUNCT
cana-3827	180	48	proposed	propose	VERB
cana-3827	180	49	methodology	methodology	NOUN
cana-3827	180	50	the	the	DET
cana-3827	180	51	proposed	propose	VERB
cana-3827	180	52	study	study	NOUN
cana-3827	180	53	combines	combine	VERB
cana-3827	180	54	random	random	ADJ
cana-3827	180	55	forest	forest	NOUN
cana-3827	180	56	with	with	ADP
cana-3827	180	57	the	the	DET
cana-3827	180	58	pca	pca	PROPN
cana-3827	180	59	algorithm	algorithm	NOUN
cana-3827	180	60	to	to	PART
cana-3827	180	61	predict	predict	VERB
cana-3827	180	62	the	the	DET
cana-3827	180	63	various	various	ADJ
cana-3827	180	64	skillsets	skillset	NOUN
cana-3827	180	65	of	of	ADP
cana-3827	180	66	software	software	NOUN
cana-3827	180	67	engineering	engineering	NOUN
cana-3827	180	68	among	among	ADP
cana-3827	180	69	computer	computer	NOUN
cana-3827	180	70	science	science	NOUN
cana-3827	180	71	students	student	NOUN
cana-3827	180	72	.	.	PUNCT
cana-3827	181	1	data	datum	NOUN
cana-3827	181	2	collection	collection	PROPN
cana-3827	181	3	,	,	PUNCT
cana-3827	181	4	data	datum	NOUN
cana-3827	181	5	preprocessing	preprocessing	NOUN
cana-3827	181	6	,	,	PUNCT
cana-3827	181	7	feature	feature	NOUN
cana-3827	181	8	extraction	extraction	NOUN
cana-3827	181	9	,	,	PUNCT
cana-3827	181	10	model	model	NOUN
cana-3827	181	11	selection	selection	NOUN
cana-3827	181	12	,	,	PUNCT
cana-3827	181	13	model	model	NOUN
cana-3827	181	14	training	training	NOUN
cana-3827	181	15	,	,	PUNCT
cana-3827	181	16	and	and	CCONJ
cana-3827	181	17	evaluation	evaluation	NOUN
cana-3827	181	18	are	be	AUX
cana-3827	181	19	among	among	ADP
cana-3827	181	20	the	the	DET
cana-3827	181	21	methodology	methodology	NOUN
cana-3827	181	22	's	's	PART
cana-3827	181	23	proposed	propose	VERB
cana-3827	181	24	steps	step	NOUN
cana-3827	181	25	.	.	PUNCT
cana-3827	182	1	the	the	DET
cana-3827	182	2	proposed	propose	VERB
cana-3827	182	3	methodology	methodology	NOUN
cana-3827	182	4	's	's	PART
cana-3827	182	5	layout	layout	NOUN
cana-3827	182	6	is	be	AUX
cana-3827	182	7	depicted	depict	VERB
cana-3827	182	8	in	in	ADP
cana-3827	182	9	figure	figure	NOUN
cana-3827	182	10	1	1	NUM
cana-3827	182	11	.	.	NOUN
cana-3827	182	12	5.1	5.1	NUM
cana-3827	182	13	data	datum	NOUN
cana-3827	182	14	collection	collection	NOUN
cana-3827	182	15	any	any	DET
cana-3827	182	16	prediction	prediction	NOUN
cana-3827	182	17	model	model	NOUN
cana-3827	182	18	relies	rely	VERB
cana-3827	182	19	heavily	heavily	ADV
cana-3827	182	20	on	on	ADP
cana-3827	182	21	data	datum	NOUN
cana-3827	182	22	.	.	PUNCT
cana-3827	183	1	for	for	ADP
cana-3827	183	2	this	this	DET
cana-3827	183	3	study	study	NOUN
cana-3827	183	4	,	,	PUNCT
cana-3827	183	5	surveys	survey	NOUN
cana-3827	183	6	are	be	AUX
cana-3827	183	7	the	the	DET
cana-3827	183	8	main	main	ADJ
cana-3827	183	9	method	method	NOUN
cana-3827	183	10	of	of	ADP
cana-3827	183	11	data	datum	NOUN
cana-3827	183	12	gathering	gathering	NOUN
cana-3827	183	13	.	.	PUNCT
cana-3827	184	1	a	a	DET
cana-3827	184	2	survey	survey	NOUN
cana-3827	184	3	was	be	AUX
cana-3827	184	4	carried	carry	VERB
cana-3827	184	5	out	out	ADP
cana-3827	184	6	among	among	ADP
cana-3827	184	7	computer	computer	NOUN
cana-3827	184	8	science	science	NOUN
cana-3827	184	9	graduates	graduate	NOUN
cana-3827	184	10	of	of	ADP
cana-3827	184	11	different	different	ADJ
cana-3827	184	12	institutions	institution	NOUN
cana-3827	184	13	in	in	ADP
cana-3827	184	14	kerala	kerala	PROPN
cana-3827	184	15	to	to	PART
cana-3827	184	16	identify	identify	VERB
cana-3827	184	17	the	the	DET
cana-3827	184	18	gaps	gap	NOUN
cana-3827	184	19	in	in	ADP
cana-3827	184	20	skills	skill	NOUN
cana-3827	184	21	using	use	VERB
cana-3827	184	22	a	a	DET
cana-3827	184	23	well	well	ADV
cana-3827	184	24	-	-	PUNCT
cana-3827	184	25	drafted	draft	VERB
cana-3827	184	26	questionnaire	questionnaire	NOUN
cana-3827	184	27	.	.	PUNCT
cana-3827	185	1	the	the	DET
cana-3827	185	2	survey	survey	NOUN
cana-3827	185	3	was	be	AUX
cana-3827	185	4	done	do	VERB
cana-3827	185	5	among	among	ADP
cana-3827	185	6	students	student	NOUN
cana-3827	185	7	who	who	PRON
cana-3827	185	8	studied	study	VERB
cana-3827	185	9	software	software	NOUN
cana-3827	185	10	engineering	engineering	NOUN
cana-3827	185	11	as	as	ADP
cana-3827	185	12	a	a	DET
cana-3827	185	13	course	course	NOUN
cana-3827	185	14	in	in	ADP
cana-3827	185	15	their	their	PRON
cana-3827	185	16	curriculum	curriculum	NOUN
cana-3827	185	17	.	.	PUNCT
cana-3827	186	1	the	the	DET
cana-3827	186	2	questionnaire	questionnaire	NOUN
cana-3827	186	3	consists	consist	VERB
cana-3827	186	4	of	of	ADP
cana-3827	186	5	several	several	ADJ
cana-3827	186	6	questions	question	NOUN
cana-3827	186	7	covering	cover	VERB
cana-3827	186	8	various	various	ADJ
cana-3827	186	9	parameters	parameter	NOUN
cana-3827	186	10	related	relate	VERB
cana-3827	186	11	to	to	ADP
cana-3827	186	12	soft	soft	ADJ
cana-3827	186	13	skills	skill	NOUN
cana-3827	186	14	,	,	PUNCT
cana-3827	186	15	life	life	NOUN
cana-3827	186	16	skills	skill	NOUN
cana-3827	186	17	,	,	PUNCT
cana-3827	186	18	and	and	CCONJ
cana-3827	186	19	technical	technical	ADJ
cana-3827	186	20	skills	skill	NOUN
cana-3827	186	21	.	.	PUNCT
cana-3827	187	1	each	each	DET
cana-3827	187	2	question	question	NOUN
cana-3827	187	3	has	have	VERB
cana-3827	187	4	six	six	NUM
cana-3827	187	5	options	option	NOUN
cana-3827	187	6	with	with	ADP
cana-3827	187	7	a	a	DET
cana-3827	187	8	score	score	NOUN
cana-3827	187	9	of	of	ADP
cana-3827	187	10	5	5	NUM
cana-3827	187	11	,	,	PUNCT
cana-3827	187	12	4	4	NUM
cana-3827	187	13	,	,	PUNCT
cana-3827	187	14	3	3	NUM
cana-3827	187	15	,	,	PUNCT
cana-3827	187	16	2	2	NUM
cana-3827	187	17	,	,	PUNCT
cana-3827	187	18	1	1	NUM
cana-3827	187	19	,	,	PUNCT
cana-3827	187	20	and	and	CCONJ
cana-3827	187	21	0	0	NUM
cana-3827	187	22	,	,	PUNCT
cana-3827	187	23	respectively	respectively	ADV
cana-3827	187	24	.	.	PUNCT
cana-3827	188	1	a	a	DET
cana-3827	188	2	quiz	quiz	NOUN
cana-3827	188	3	assessment	assessment	NOUN
cana-3827	188	4	of	of	ADP
cana-3827	188	5	each	each	DET
cana-3827	188	6	category	category	NOUN
cana-3827	188	7	of	of	ADP
cana-3827	188	8	skill	skill	NOUN
cana-3827	188	9	is	be	AUX
cana-3827	188	10	conducted	conduct	VERB
cana-3827	188	11	in	in	ADP
cana-3827	188	12	the	the	DET
cana-3827	188	13	survey	survey	NOUN
cana-3827	188	14	.	.	PUNCT
cana-3827	189	1	the	the	DET
cana-3827	189	2	dataset	dataset	NOUN
cana-3827	189	3	consists	consist	VERB
cana-3827	189	4	of	of	ADP
cana-3827	189	5	more	more	ADJ
cana-3827	189	6	than	than	ADP
cana-3827	189	7	a	a	DET
cana-3827	189	8	thousand	thousand	NUM
cana-3827	189	9	samples	sample	NOUN
cana-3827	189	10	.	.	PUNCT
cana-3827	190	1	a	a	DET
cana-3827	190	2	score	score	NOUN
cana-3827	190	3	of	of	ADP
cana-3827	190	4	five	five	NUM
cana-3827	190	5	represents	represent	VERB
cana-3827	190	6	the	the	DET
cana-3827	190	7	most	most	ADV
cana-3827	190	8	-	-	PUNCT
cana-3827	190	9	rated	rate	VERB
cana-3827	190	10	skill	skill	NOUN
cana-3827	190	11	,	,	PUNCT
cana-3827	190	12	and	and	CCONJ
cana-3827	190	13	zero	zero	NUM
cana-3827	190	14	represents	represent	VERB
cana-3827	190	15	the	the	DET
cana-3827	190	16	least	least	ADV
cana-3827	190	17	-	-	PUNCT
cana-3827	190	18	rated	rate	VERB
cana-3827	190	19	skill	skill	NOUN
cana-3827	190	20	.	.	PUNCT
cana-3827	191	1	there	there	PRON
cana-3827	191	2	are	be	VERB
cana-3827	191	3	five	five	NUM
cana-3827	191	4	quiz	quiz	NOUN
cana-3827	191	5	questions	question	NOUN
cana-3827	191	6	,	,	PUNCT
cana-3827	191	7	each	each	PRON
cana-3827	191	8	from	from	ADP
cana-3827	191	9	three	three	NUM
cana-3827	191	10	categories	category	NOUN
cana-3827	191	11	of	of	ADP
cana-3827	191	12	skills	skill	NOUN
cana-3827	191	13	,	,	PUNCT
cana-3827	191	14	for	for	ADP
cana-3827	191	15	a	a	DET
cana-3827	191	16	total	total	NOUN
cana-3827	191	17	of	of	ADP
cana-3827	191	18	fifteen	fifteen	NUM
cana-3827	191	19	.	.	PUNCT
cana-3827	192	1	if	if	SCONJ
cana-3827	192	2	the	the	DET
cana-3827	192	3	score	score	NOUN
cana-3827	192	4	of	of	ADP
cana-3827	192	5	a	a	DET
cana-3827	192	6	student	student	NOUN
cana-3827	192	7	is	be	AUX
cana-3827	192	8	more	more	ADJ
cana-3827	192	9	than	than	ADP
cana-3827	192	10	60	60	NUM
cana-3827	192	11	%	%	NOUN
cana-3827	192	12	against	against	ADP
cana-3827	192	13	each	each	DET
cana-3827	192	14	category	category	NOUN
cana-3827	192	15	of	of	ADP
cana-3827	192	16	skills	skill	NOUN
cana-3827	192	17	,	,	PUNCT
cana-3827	192	18	then	then	ADV
cana-3827	192	19	the	the	DET
cana-3827	192	20	model	model	NOUN
cana-3827	192	21	can	can	AUX
cana-3827	192	22	correctly	correctly	ADV
cana-3827	192	23	predict	predict	VERB
cana-3827	192	24	whether	whether	SCONJ
cana-3827	192	25	they	they	PRON
cana-3827	192	26	possess	possess	VERB
cana-3827	192	27	that	that	DET
cana-3827	192	28	competence	competence	NOUN
cana-3827	192	29	:	:	PUNCT
cana-3827	192	30	soft	soft	ADJ
cana-3827	192	31	skills	skill	NOUN
cana-3827	192	32	,	,	PUNCT
cana-3827	192	33	life	life	NOUN
cana-3827	192	34	skills	skill	NOUN
cana-3827	192	35	,	,	PUNCT
cana-3827	192	36	and	and	CCONJ
cana-3827	192	37	technical	technical	ADJ
cana-3827	192	38	skills	skill	NOUN
cana-3827	192	39	.	.	PUNCT
cana-3827	193	1	one	one	NUM
cana-3827	193	2	thousand	thousand	NUM
cana-3827	193	3	and	and	CCONJ
cana-3827	193	4	twenty	twenty	NUM
cana-3827	193	5	-	-	PUNCT
cana-3827	193	6	six	six	NUM
cana-3827	193	7	students	student	NOUN
cana-3827	193	8	were	be	AUX
cana-3827	193	9	required	require	VERB
cana-3827	193	10	to	to	PART
cana-3827	193	11	complete	complete	VERB
cana-3827	193	12	the	the	DET
cana-3827	193	13	survey	survey	NOUN
cana-3827	193	14	.	.	PUNCT
cana-3827	194	1	the	the	DET
cana-3827	194	2	survey	survey	NOUN
cana-3827	194	3	questionnaires	questionnaire	NOUN
cana-3827	194	4	evaluate	evaluate	VERB
cana-3827	194	5	the	the	DET
cana-3827	194	6	students	student	NOUN
cana-3827	194	7	’	'	PUNCT
cana-3827	194	8	skill	skill	NOUN
cana-3827	194	9	sets	set	NOUN
cana-3827	194	10	in	in	ADP
cana-3827	194	11	software	software	NOUN
cana-3827	194	12	engineering	engineering	NOUN
cana-3827	194	13	.	.	PUNCT
cana-3827	195	1	questionnaires	questionnaire	NOUN
cana-3827	195	2	consist	consist	VERB
cana-3827	195	3	of	of	ADP
cana-3827	195	4	fifty	fifty	NUM
cana-3827	195	5	-	-	PUNCT
cana-3827	195	6	three	three	NUM
cana-3827	195	7	questions	question	NOUN
cana-3827	195	8	and	and	CCONJ
cana-3827	195	9	have	have	VERB
cana-3827	195	10	three	three	NUM
cana-3827	195	11	parts	part	NOUN
cana-3827	195	12	.	.	PUNCT
cana-3827	196	1	the	the	DET
cana-3827	196	2	first	first	ADJ
cana-3827	196	3	part	part	NOUN
cana-3827	196	4	is	be	AUX
cana-3827	196	5	focused	focus	VERB
cana-3827	196	6	on	on	ADP
cana-3827	196	7	students	student	NOUN
cana-3827	196	8	’	'	PUNCT
cana-3827	196	9	soft	soft	ADJ
cana-3827	196	10	skills	skill	NOUN
cana-3827	196	11	,	,	PUNCT
cana-3827	196	12	the	the	DET
cana-3827	196	13	second	second	ADJ
cana-3827	196	14	on	on	ADP
cana-3827	196	15	their	their	PRON
cana-3827	196	16	life	life	NOUN
cana-3827	196	17	skills	skill	NOUN
cana-3827	196	18	and	and	CCONJ
cana-3827	196	19	the	the	DET
cana-3827	196	20	third	third	ADJ
cana-3827	196	21	part	part	NOUN
cana-3827	196	22	observed	observed	ADJ
cana-3827	196	23	students	student	NOUN
cana-3827	196	24	’	'	PUNCT
cana-3827	196	25	technical	technical	ADJ
cana-3827	196	26	skills	skill	NOUN
cana-3827	196	27	.	.	PUNCT
cana-3827	197	1	eighteen	eighteen	NUM
cana-3827	197	2	features	feature	NOUN
cana-3827	197	3	and	and	CCONJ
cana-3827	197	4	five	five	NUM
cana-3827	197	5	softskill	softskill	NOUN
cana-3827	197	6	quizzes	quiz	NOUN
cana-3827	197	7	were	be	AUX
cana-3827	197	8	used	use	VERB
cana-3827	197	9	to	to	PART
cana-3827	197	10	evaluate	evaluate	VERB
cana-3827	197	11	the	the	DET
cana-3827	197	12	soft	soft	ADJ
cana-3827	197	13	skills	skill	NOUN
cana-3827	197	14	of	of	ADP
cana-3827	197	15	each	each	DET
cana-3827	197	16	student	student	NOUN
cana-3827	197	17	.	.	PUNCT
cana-3827	198	1	soft	soft	ADJ
cana-3827	198	2	skills	skill	NOUN
cana-3827	198	3	in	in	ADP
cana-3827	198	4	software	software	NOUN
cana-3827	198	5	communications	communication	NOUN
cana-3827	198	6	on	on	ADP
cana-3827	198	7	applied	apply	VERB
cana-3827	198	8	nonlinear	nonlinear	ADJ
cana-3827	198	9	analysis	analysis	NOUN
cana-3827	198	10	issn	issn	NOUN
cana-3827	198	11	:	:	PUNCT
cana-3827	198	12	1074	1074	NUM
cana-3827	198	13	-	-	PUNCT
cana-3827	198	14	133x	133x	NUM
cana-3827	198	15	vol	vol	NOUN
cana-3827	198	16	32	32	NUM
cana-3827	198	17	no	no	NOUN
cana-3827	198	18	.	.	PUNCT
cana-3827	199	1	8s	8s	PROPN
cana-3827	199	2	(	(	PUNCT
cana-3827	199	3	2025	2025	NUM
cana-3827	199	4	)	)	PUNCT
cana-3827	199	5	854	854	NUM
cana-3827	199	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3827	199	7	engineering	engineering	NOUN
cana-3827	199	8	,	,	PUNCT
cana-3827	199	9	such	such	ADJ
cana-3827	199	10	as	as	ADP
cana-3827	199	11	overseeing	oversee	VERB
cana-3827	199	12	large	large	ADJ
cana-3827	199	13	projects	project	NOUN
cana-3827	199	14	and	and	CCONJ
cana-3827	199	15	working	work	VERB
cana-3827	199	16	collaboratively	collaboratively	ADV
cana-3827	199	17	with	with	ADP
cana-3827	199	18	team	team	NOUN
cana-3827	199	19	members	member	NOUN
cana-3827	199	20	,	,	PUNCT
cana-3827	199	21	receive	receive	VERB
cana-3827	199	22	comparatively	comparatively	ADV
cana-3827	199	23	less	less	ADJ
cana-3827	199	24	emphasis	emphasis	NOUN
cana-3827	199	25	and	and	CCONJ
cana-3827	199	26	support	support	NOUN
cana-3827	199	27	in	in	ADP
cana-3827	199	28	curriculum	curriculum	NOUN
cana-3827	199	29	pedagogy	pedagogy	NOUN
cana-3827	199	30	.	.	PUNCT
cana-3827	200	1	nine	nine	NUM
cana-3827	200	2	features	feature	NOUN
cana-3827	200	3	and	and	CCONJ
cana-3827	200	4	fivelifeskill	fivelifeskill	VERB
cana-3827	200	5	quizzes	quiz	NOUN
cana-3827	200	6	were	be	AUX
cana-3827	200	7	used	use	VERB
cana-3827	200	8	to	to	PART
cana-3827	200	9	evaluate	evaluate	VERB
cana-3827	200	10	the	the	DET
cana-3827	200	11	life	life	NOUN
cana-3827	200	12	skills	skill	NOUN
cana-3827	200	13	.	.	PUNCT
cana-3827	201	1	the	the	DET
cana-3827	201	2	development	development	NOUN
cana-3827	201	3	of	of	ADP
cana-3827	201	4	life	life	NOUN
cana-3827	201	5	skills	skill	NOUN
cana-3827	201	6	has	have	AUX
cana-3827	201	7	been	be	AUX
cana-3827	201	8	influenced	influence	VERB
cana-3827	201	9	by	by	ADP
cana-3827	201	10	advancements	advancement	NOUN
cana-3827	201	11	in	in	ADP
cana-3827	201	12	the	the	DET
cana-3827	201	13	workplace	workplace	NOUN
cana-3827	201	14	,	,	PUNCT
cana-3827	201	15	such	such	ADJ
cana-3827	201	16	as	as	ADP
cana-3827	201	17	development	development	NOUN
cana-3827	201	18	strategies	strategy	NOUN
cana-3827	201	19	and	and	CCONJ
cana-3827	201	20	techniques	technique	NOUN
cana-3827	201	21	.	.	PUNCT
cana-3827	202	1	they	they	PRON
cana-3827	202	2	include	include	VERB
cana-3827	202	3	presentation	presentation	NOUN
cana-3827	202	4	skills	skill	NOUN
cana-3827	202	5	,	,	PUNCT
cana-3827	202	6	leadership	leadership	NOUN
cana-3827	202	7	,	,	PUNCT
cana-3827	202	8	good	good	ADJ
cana-3827	202	9	listening	listening	NOUN
cana-3827	202	10	,	,	PUNCT
cana-3827	202	11	communication	communication	NOUN
cana-3827	202	12	skills	skill	NOUN
cana-3827	202	13	,	,	PUNCT
cana-3827	202	14	and	and	CCONJ
cana-3827	202	15	conflict	conflict	NOUN
cana-3827	202	16	in	in	ADP
cana-3827	202	17	an	an	DET
cana-3827	202	18	area	area	NOUN
cana-3827	202	19	of	of	ADP
cana-3827	202	20	interest	interest	NOUN
cana-3827	202	21	.	.	PUNCT
cana-3827	203	1	nine	nine	NUM
cana-3827	203	2	features	feature	NOUN
cana-3827	203	3	and	and	CCONJ
cana-3827	203	4	five	five	NUM
cana-3827	203	5	technical	technical	ADJ
cana-3827	203	6	skill	skill	NOUN
cana-3827	203	7	quizzes	quiz	NOUN
cana-3827	203	8	were	be	AUX
cana-3827	203	9	used	use	VERB
cana-3827	203	10	to	to	PART
cana-3827	203	11	evaluate	evaluate	VERB
cana-3827	203	12	the	the	DET
cana-3827	203	13	technical	technical	ADJ
cana-3827	203	14	skills	skill	NOUN
cana-3827	203	15	.	.	PUNCT
cana-3827	204	1	the	the	DET
cana-3827	204	2	features	feature	NOUN
cana-3827	204	3	comprise	comprise	VERB
cana-3827	204	4	time	time	NOUN
cana-3827	204	5	management	management	NOUN
cana-3827	204	6	,	,	PUNCT
cana-3827	204	7	quality	quality	NOUN
cana-3827	204	8	management	management	NOUN
cana-3827	204	9	,	,	PUNCT
cana-3827	204	10	new	new	ADJ
cana-3827	204	11	technology	technology	NOUN
cana-3827	204	12	,	,	PUNCT
cana-3827	204	13	new	new	ADJ
cana-3827	204	14	hands	hand	NOUN
cana-3827	204	15	-	-	PUNCT
cana-3827	204	16	on	on	ADP
cana-3827	204	17	tools	tool	NOUN
cana-3827	204	18	,	,	PUNCT
cana-3827	204	19	cost	cost	NOUN
cana-3827	204	20	or	or	CCONJ
cana-3827	204	21	time	time	NOUN
cana-3827	204	22	management	management	NOUN
cana-3827	204	23	challenges	challenge	NOUN
cana-3827	204	24	,	,	PUNCT
cana-3827	204	25	programming	programming	NOUN
cana-3827	204	26	abilities	ability	NOUN
cana-3827	204	27	,	,	PUNCT
cana-3827	204	28	and	and	CCONJ
cana-3827	204	29	so	so	ADV
cana-3827	204	30	on	on	ADV
cana-3827	204	31	.	.	PUNCT
cana-3827	205	1	this	this	DET
cana-3827	205	2	survey	survey	NOUN
cana-3827	205	3	method	method	NOUN
cana-3827	205	4	will	will	AUX
cana-3827	205	5	help	help	VERB
cana-3827	205	6	the	the	DET
cana-3827	205	7	students	student	NOUN
cana-3827	205	8	to	to	PART
cana-3827	205	9	understand	understand	VERB
cana-3827	205	10	some	some	PRON
cana-3827	205	11	of	of	ADP
cana-3827	205	12	their	their	PRON
cana-3827	205	13	academic	academic	ADJ
cana-3827	205	14	skills	skill	NOUN
cana-3827	205	15	,	,	PUNCT
cana-3827	205	16	and	and	CCONJ
cana-3827	205	17	gives	give	VERB
cana-3827	205	18	a	a	DET
cana-3827	205	19	general	general	ADJ
cana-3827	205	20	idea	idea	NOUN
cana-3827	205	21	of	of	ADP
cana-3827	205	22	their	their	PRON
cana-3827	205	23	skillset	skillset	ADJ
cana-3827	205	24	gap	gap	NOUN
cana-3827	205	25	.	.	PUNCT
cana-3827	206	1	figure	figure	NOUN
cana-3827	206	2	2	2	NUM
cana-3827	206	3	represents	represent	VERB
cana-3827	206	4	a	a	DET
cana-3827	206	5	screenshot	screenshot	NOUN
cana-3827	206	6	of	of	ADP
cana-3827	206	7	the	the	DET
cana-3827	206	8	dataset	dataset	NOUN
cana-3827	206	9	of	of	ADP
cana-3827	206	10	the	the	DET
cana-3827	206	11	study	study	NOUN
cana-3827	206	12	.	.	PUNCT
cana-3827	207	1	some	some	PRON
cana-3827	207	2	of	of	ADP
cana-3827	207	3	the	the	DET
cana-3827	207	4	sample	sample	NOUN
cana-3827	207	5	questions	question	NOUN
cana-3827	207	6	used	use	VERB
cana-3827	207	7	in	in	ADP
cana-3827	207	8	the	the	DET
cana-3827	207	9	survey	survey	NOUN
cana-3827	207	10	to	to	PART
cana-3827	207	11	assess	assess	VERB
cana-3827	207	12	the	the	DET
cana-3827	207	13	soft	soft	ADJ
cana-3827	207	14	skills	skill	NOUN
cana-3827	207	15	of	of	ADP
cana-3827	207	16	the	the	DET
cana-3827	207	17	students	student	NOUN
cana-3827	207	18	are	be	AUX
cana-3827	207	19	presented	present	VERB
cana-3827	207	20	below	below	ADP
cana-3827	207	21	:	:	PUNCT
cana-3827	207	22	•	•	ADP
cana-3827	207	23	do	do	AUX
cana-3827	207	24	you	you	PRON
cana-3827	207	25	feel	feel	VERB
cana-3827	207	26	comfortable	comfortable	ADJ
cana-3827	207	27	leading	lead	VERB
cana-3827	207	28	a	a	DET
cana-3827	207	29	team	team	NOUN
cana-3827	207	30	of	of	ADP
cana-3827	207	31	over	over	ADP
cana-3827	207	32	twenty	twenty	NUM
cana-3827	207	33	people	people	NOUN
cana-3827	207	34	?	?	PUNCT
cana-3827	208	1	•	•	NUM
cana-3827	208	2	how	how	SCONJ
cana-3827	208	3	confident	confident	ADJ
cana-3827	208	4	are	be	AUX
cana-3827	208	5	you	you	PRON
cana-3827	208	6	to	to	PART
cana-3827	208	7	communicate	communicate	VERB
cana-3827	208	8	within	within	ADP
cana-3827	208	9	your	your	PRON
cana-3827	208	10	closed	closed	ADJ
cana-3827	208	11	connect	connect	NOUN
cana-3827	208	12	/	/	SYM
cana-3827	208	13	group	group	NOUN
cana-3827	208	14	?	?	PUNCT
cana-3827	209	1	•	•	NUM
cana-3827	209	2	how	how	SCONJ
cana-3827	209	3	confident	confident	ADJ
cana-3827	209	4	are	be	AUX
cana-3827	209	5	you	you	PRON
cana-3827	209	6	to	to	PART
cana-3827	209	7	spice	spice	VERB
cana-3827	209	8	up	up	ADP
cana-3827	209	9	in	in	ADP
cana-3827	209	10	group	group	NOUN
cana-3827	209	11	discussions	discussion	NOUN
cana-3827	209	12	to	to	PART
cana-3827	209	13	boost	boost	VERB
cana-3827	209	14	creativity	creativity	NOUN
cana-3827	209	15	?	?	PUNCT
cana-3827	210	1	•	•	NUM
cana-3827	210	2	is	be	AUX
cana-3827	210	3	there	there	PRON
cana-3827	210	4	anyone	anyone	PRON
cana-3827	210	5	you	you	PRON
cana-3827	210	6	would	would	AUX
cana-3827	210	7	rather	rather	ADV
cana-3827	210	8	delegate	delegate	VERB
cana-3827	210	9	decision	decision	NOUN
cana-3827	210	10	-	-	PUNCT
cana-3827	210	11	making	make	VERB
cana-3827	210	12	authority	authority	NOUN
cana-3827	210	13	to	to	PART
cana-3827	210	14	?	?	PUNCT
cana-3827	211	1	•	•	INTJ
cana-3827	211	2	do	do	AUX
cana-3827	211	3	you	you	PRON
cana-3827	211	4	go	go	VERB
cana-3827	211	5	about	about	ADP
cana-3827	211	6	rearranging	rearrange	VERB
cana-3827	211	7	your	your	PRON
cana-3827	211	8	schedule	schedule	NOUN
cana-3827	211	9	if	if	SCONJ
cana-3827	211	10	something	something	PRON
cana-3827	211	11	unplanned	unplanned	ADJ
cana-3827	211	12	occurs	occur	VERB
cana-3827	211	13	?	?	PUNCT
cana-3827	212	1	some	some	PRON
cana-3827	212	2	of	of	ADP
cana-3827	212	3	the	the	DET
cana-3827	212	4	sample	sample	NOUN
cana-3827	212	5	questions	question	NOUN
cana-3827	212	6	used	use	VERB
cana-3827	212	7	in	in	ADP
cana-3827	212	8	the	the	DET
cana-3827	212	9	survey	survey	NOUN
cana-3827	212	10	for	for	ADP
cana-3827	212	11	measuring	measure	VERB
cana-3827	212	12	the	the	DET
cana-3827	212	13	life	life	NOUN
cana-3827	212	14	skills	skill	NOUN
cana-3827	212	15	of	of	ADP
cana-3827	212	16	the	the	DET
cana-3827	212	17	students	student	NOUN
cana-3827	212	18	are	be	AUX
cana-3827	212	19	given	give	VERB
cana-3827	212	20	below	below	ADP
cana-3827	212	21	:	:	PUNCT
cana-3827	212	22	•	•	NUM
cana-3827	212	23	how	how	SCONJ
cana-3827	212	24	good	good	ADJ
cana-3827	212	25	are	be	AUX
cana-3827	212	26	you	you	PRON
cana-3827	212	27	in	in	ADP
cana-3827	212	28	resolving	resolve	VERB
cana-3827	212	29	a	a	DET
cana-3827	212	30	conflict	conflict	NOUN
cana-3827	212	31	in	in	ADP
cana-3827	212	32	area	area	NOUN
cana-3827	212	33	of	of	ADP
cana-3827	212	34	interest	interest	NOUN
cana-3827	212	35	in	in	ADP
cana-3827	212	36	group	group	NOUN
cana-3827	212	37	work	work	NOUN
cana-3827	212	38	?	?	PUNCT
cana-3827	213	1	•	•	NUM
cana-3827	213	2	are	be	AUX
cana-3827	213	3	you	you	PRON
cana-3827	213	4	a	a	DET
cana-3827	213	5	good	good	ADJ
cana-3827	213	6	listener	listener	NOUN
cana-3827	213	7	in	in	ADP
cana-3827	213	8	the	the	DET
cana-3827	213	9	communication	communication	NOUN
cana-3827	213	10	of	of	ADP
cana-3827	213	11	group	group	NOUN
cana-3827	213	12	work	work	NOUN
cana-3827	213	13	?	?	PUNCT
cana-3827	214	1	•	•	NUM
cana-3827	214	2	are	be	AUX
cana-3827	214	3	you	you	PRON
cana-3827	214	4	self	self	NOUN
cana-3827	214	5	-	-	PUNCT
cana-3827	214	6	efficient	efficient	ADJ
cana-3827	214	7	in	in	ADP
cana-3827	214	8	giving	give	VERB
cana-3827	214	9	presentations	presentation	NOUN
cana-3827	214	10	/	/	PUNCT
cana-3827	214	11	facing	face	VERB
cana-3827	214	12	larger	large	ADJ
cana-3827	214	13	groups	group	NOUN
cana-3827	214	14	?	?	PUNCT
cana-3827	215	1	•	•	NUM
cana-3827	215	2	how	how	SCONJ
cana-3827	215	3	good	good	ADJ
cana-3827	215	4	are	be	AUX
cana-3827	215	5	you	you	PRON
cana-3827	215	6	at	at	ADP
cana-3827	215	7	interpersonal	interpersonal	ADJ
cana-3827	215	8	communication	communication	NOUN
cana-3827	215	9	?	?	PUNCT
cana-3827	216	1	•	•	NUM
cana-3827	216	2	how	how	SCONJ
cana-3827	216	3	good	good	ADJ
cana-3827	216	4	a	a	DET
cana-3827	216	5	leader	leader	NOUN
cana-3827	216	6	you	you	PRON
cana-3827	216	7	are	be	AUX
cana-3827	216	8	in	in	ADP
cana-3827	216	9	motivating	motivating	NOUN
cana-3827	216	10	and	and	CCONJ
cana-3827	216	11	building	build	VERB
cana-3827	216	12	a	a	DET
cana-3827	216	13	core	core	NOUN
cana-3827	216	14	team	team	NOUN
cana-3827	216	15	?	?	PUNCT
cana-3827	217	1	some	some	PRON
cana-3827	217	2	of	of	ADP
cana-3827	217	3	the	the	DET
cana-3827	217	4	questions	question	NOUN
cana-3827	217	5	used	use	VERB
cana-3827	217	6	to	to	PART
cana-3827	217	7	measure	measure	VERB
cana-3827	217	8	technical	technical	ADJ
cana-3827	217	9	skills	skill	NOUN
cana-3827	217	10	are	be	AUX
cana-3827	217	11	provided	provide	VERB
cana-3827	217	12	below	below	ADP
cana-3827	217	13	:	:	PUNCT
cana-3827	217	14	•	•	X
cana-3827	217	15	would	would	AUX
cana-3827	217	16	you	you	PRON
cana-3827	217	17	like	like	VERB
cana-3827	217	18	to	to	PART
cana-3827	217	19	prefer	prefer	VERB
cana-3827	217	20	a	a	DET
cana-3827	217	21	blend	blend	NOUN
cana-3827	217	22	of	of	ADP
cana-3827	217	23	management	management	NOUN
cana-3827	217	24	+	+	CCONJ
cana-3827	217	25	technical	technical	ADJ
cana-3827	217	26	subject	subject	NOUN
cana-3827	217	27	than	than	ADP
cana-3827	217	28	pure	pure	ADJ
cana-3827	217	29	management	management	NOUN
cana-3827	217	30	or	or	CCONJ
cana-3827	217	31	technical	technical	ADJ
cana-3827	217	32	course	course	NOUN
cana-3827	217	33	?	?	PUNCT
cana-3827	218	1	•	•	NOUN
cana-3827	218	2	are	be	AUX
cana-3827	218	3	you	you	PRON
cana-3827	218	4	open	open	ADJ
cana-3827	218	5	to	to	ADP
cana-3827	218	6	learning	learn	VERB
cana-3827	218	7	new	new	ADJ
cana-3827	218	8	hands	hand	NOUN
cana-3827	218	9	-	-	PUNCT
cana-3827	218	10	on	on	ADP
cana-3827	218	11	tools	tool	NOUN
cana-3827	218	12	and	and	CCONJ
cana-3827	218	13	techniques	technique	NOUN
cana-3827	218	14	?	?	PUNCT
cana-3827	219	1	•	•	NUM
cana-3827	219	2	how	how	SCONJ
cana-3827	219	3	confident	confident	ADJ
cana-3827	219	4	are	be	AUX
cana-3827	219	5	you	you	PRON
cana-3827	219	6	in	in	ADP
cana-3827	219	7	developing	develop	VERB
cana-3827	219	8	a	a	DET
cana-3827	219	9	project	project	NOUN
cana-3827	219	10	alone	alone	ADV
cana-3827	219	11	?	?	PUNCT
cana-3827	220	1	•	•	CCONJ
cana-3827	220	2	did	do	AUX
cana-3827	220	3	you	you	PRON
cana-3827	220	4	think	think	VERB
cana-3827	220	5	cost	cost	NOUN
cana-3827	220	6	/	/	SYM
cana-3827	220	7	compute	compute	NOUN
cana-3827	220	8	/	/	SYM
cana-3827	220	9	time	time	NOUN
cana-3827	220	10	management	management	NOUN
cana-3827	220	11	challenges	challenge	NOUN
cana-3827	220	12	are	be	AUX
cana-3827	220	13	more	more	ADV
cana-3827	220	14	crucial	crucial	ADJ
cana-3827	220	15	than	than	ADP
cana-3827	220	16	technical	technical	ADJ
cana-3827	220	17	challenges	challenge	NOUN
cana-3827	220	18	in	in	ADP
cana-3827	220	19	a	a	DET
cana-3827	220	20	group	group	NOUN
cana-3827	220	21	project	project	NOUN
cana-3827	220	22	?	?	PUNCT
cana-3827	221	1	•	•	NUM
cana-3827	221	2	have	have	AUX
cana-3827	221	3	you	you	PRON
cana-3827	221	4	possessed	possess	VERB
cana-3827	221	5	quality	quality	NOUN
cana-3827	221	6	management	management	NOUN
cana-3827	221	7	in	in	ADP
cana-3827	221	8	your	your	PRON
cana-3827	221	9	projects	project	NOUN
cana-3827	221	10	?	?	PUNCT
cana-3827	222	1	communications	communication	NOUN
cana-3827	222	2	on	on	ADP
cana-3827	222	3	applied	apply	VERB
cana-3827	222	4	nonlinear	nonlinear	ADJ
cana-3827	222	5	analysis	analysis	NOUN
cana-3827	222	6	issn	issn	NOUN
cana-3827	222	7	:	:	PUNCT
cana-3827	222	8	1074	1074	NUM
cana-3827	222	9	-	-	PUNCT
cana-3827	222	10	133x	133x	NUM
cana-3827	222	11	vol	vol	NOUN
cana-3827	222	12	32	32	NUM
cana-3827	222	13	no	no	NOUN
cana-3827	222	14	.	.	PUNCT
cana-3827	223	1	8s	8s	PROPN
cana-3827	223	2	(	(	PUNCT
cana-3827	223	3	2025	2025	NUM
cana-3827	223	4	)	)	PUNCT
cana-3827	223	5	855	855	NUM
cana-3827	223	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3827	223	7	figure	figure	NOUN
cana-3827	223	8	2	2	NUM
cana-3827	223	9	:	:	PUNCT
cana-3827	223	10	screenshot	screenshot	NOUN
cana-3827	223	11	of	of	ADP
cana-3827	223	12	dataset	dataset	ADJ
cana-3827	223	13	5.2	5.2	NUM
cana-3827	223	14	data	datum	NOUN
cana-3827	223	15	preprocessing	preprocesse	VERB
cana-3827	223	16	techniques	technique	NOUN
cana-3827	223	17	for	for	ADP
cana-3827	223	18	preprocessing	preprocesse	VERB
cana-3827	223	19	data	datum	NOUN
cana-3827	223	20	prepare	prepare	VERB
cana-3827	223	21	the	the	DET
cana-3827	223	22	dataset	dataset	NOUN
cana-3827	223	23	for	for	ADP
cana-3827	223	24	model	model	NOUN
cana-3827	223	25	creation	creation	NOUN
cana-3827	223	26	.	.	PUNCT
cana-3827	224	1	before	before	ADP
cana-3827	224	2	building	building	NOUN
cana-3827	224	3	models	model	NOUN
cana-3827	224	4	,	,	PUNCT
cana-3827	224	5	the	the	DET
cana-3827	224	6	data	datum	NOUN
cana-3827	224	7	collected	collect	VERB
cana-3827	224	8	for	for	ADP
cana-3827	224	9	training	training	NOUN
cana-3827	224	10	and	and	CCONJ
cana-3827	224	11	testing	testing	NOUN
cana-3827	224	12	should	should	AUX
cana-3827	224	13	be	be	AUX
cana-3827	224	14	suitably	suitably	ADV
cana-3827	224	15	preprocessed	preprocesse	VERB
cana-3827	224	16	to	to	PART
cana-3827	224	17	help	help	VERB
cana-3827	224	18	the	the	DET
cana-3827	224	19	models	model	NOUN
cana-3827	224	20	quickly	quickly	ADV
cana-3827	224	21	pick	pick	VERB
cana-3827	224	22	up	up	ADP
cana-3827	224	23	on	on	ADP
cana-3827	224	24	trends	trend	NOUN
cana-3827	224	25	.	.	PUNCT
cana-3827	225	1	data	datum	NOUN
cana-3827	225	2	with	with	ADP
cana-3827	225	3	missing	miss	VERB
cana-3827	225	4	values	value	NOUN
cana-3827	225	5	can	can	AUX
cana-3827	225	6	not	not	PART
cana-3827	225	7	be	be	AUX
cana-3827	225	8	analyzed	analyze	VERB
cana-3827	225	9	to	to	PART
cana-3827	225	10	train	train	VERB
cana-3827	225	11	a	a	DET
cana-3827	225	12	machine	machine	NOUN
cana-3827	225	13	learning	learn	VERB
cana-3827	225	14	model	model	NOUN
cana-3827	225	15	.	.	PUNCT
cana-3827	226	1	90	90	NUM
cana-3827	226	2	%	%	NOUN
cana-3827	226	3	of	of	ADP
cana-3827	226	4	our	our	PRON
cana-3827	226	5	time	time	NOUN
cana-3827	226	6	is	be	AUX
cana-3827	226	7	spent	spend	VERB
cana-3827	226	8	preparing	prepare	VERB
cana-3827	226	9	the	the	DET
cana-3827	226	10	data	datum	NOUN
cana-3827	226	11	because	because	SCONJ
cana-3827	226	12	of	of	ADP
cana-3827	226	13	this	this	PRON
cana-3827	226	14	.	.	PUNCT
cana-3827	227	1	so	so	ADV
cana-3827	227	2	missing	missing	ADJ
cana-3827	227	3	values	value	NOUN
cana-3827	227	4	are	be	AUX
cana-3827	227	5	inputted	inputte	VERB
cana-3827	227	6	using	use	VERB
cana-3827	227	7	the	the	DET
cana-3827	227	8	average	average	NOUN
cana-3827	227	9	.	.	PUNCT
cana-3827	228	1	using	use	VERB
cana-3827	228	2	standard	standard	ADJ
cana-3827	228	3	scaler	scaler	ADJ
cana-3827	228	4	normalization	normalization	NOUN
cana-3827	228	5	,	,	PUNCT
cana-3827	228	6	it	it	PRON
cana-3827	228	7	worked	work	VERB
cana-3827	228	8	out	out	ADP
cana-3827	228	9	,	,	PUNCT
cana-3827	228	10	but	but	CCONJ
cana-3827	228	11	we	we	PRON
cana-3827	228	12	achieved	achieve	VERB
cana-3827	228	13	better	well	ADJ
cana-3827	228	14	results	result	NOUN
cana-3827	228	15	with	with	ADP
cana-3827	228	16	minmax	minmax	PROPN
cana-3827	228	17	normalization	normalization	NOUN
cana-3827	228	18	.	.	PUNCT
cana-3827	229	1	minmax	minmax	PROPN
cana-3827	229	2	normalization	normalization	NOUN
cana-3827	229	3	is	be	AUX
cana-3827	229	4	one	one	NUM
cana-3827	229	5	of	of	ADP
cana-3827	229	6	the	the	DET
cana-3827	229	7	many	many	ADJ
cana-3827	229	8	data	datum	NOUN
cana-3827	229	9	preprocessing	preprocessing	NOUN
cana-3827	229	10	methods	method	NOUN
cana-3827	229	11	used	use	VERB
cana-3827	229	12	in	in	ADP
cana-3827	229	13	this	this	DET
cana-3827	229	14	study	study	NOUN
cana-3827	229	15	.	.	PUNCT
cana-3827	230	1	in	in	ADP
cana-3827	230	2	machine	machine	NOUN
cana-3827	230	3	learning	learning	NOUN
cana-3827	230	4	,	,	PUNCT
cana-3827	230	5	it	it	PRON
cana-3827	230	6	is	be	AUX
cana-3827	230	7	extensively	extensively	ADV
cana-3827	230	8	utilized	utilize	VERB
cana-3827	230	9	to	to	PART
cana-3827	230	10	standardize	standardize	VERB
cana-3827	230	11	numerical	numerical	ADJ
cana-3827	230	12	characteristics	characteristic	NOUN
cana-3827	230	13	to	to	ADP
cana-3827	230	14	a	a	DET
cana-3827	230	15	certain	certain	ADJ
cana-3827	230	16	range	range	NOUN
cana-3827	230	17	.	.	PUNCT
cana-3827	231	1	this	this	DET
cana-3827	231	2	normalization	normalization	NOUN
cana-3827	231	3	method	method	NOUN
cana-3827	231	4	transforms	transform	VERB
cana-3827	231	5	each	each	DET
cana-3827	231	6	feature	feature	NOUN
cana-3827	231	7	in	in	ADP
cana-3827	231	8	the	the	DET
cana-3827	231	9	dataset	dataset	NOUN
cana-3827	231	10	into	into	ADP
cana-3827	231	11	a	a	DET
cana-3827	231	12	new	new	ADJ
cana-3827	231	13	range	range	NOUN
cana-3827	231	14	between	between	ADP
cana-3827	231	15	a	a	DET
cana-3827	231	16	specified	specified	ADJ
cana-3827	231	17	minimum	minimum	ADJ
cana-3827	231	18	and	and	CCONJ
cana-3827	231	19	maximum	maximum	ADJ
cana-3827	231	20	value	value	NOUN
cana-3827	231	21	,	,	PUNCT
cana-3827	231	22	typically	typically	ADV
cana-3827	231	23	between	between	ADP
cana-3827	231	24	0	0	NUM
cana-3827	231	25	and	and	CCONJ
cana-3827	231	26	1	1	NUM
cana-3827	231	27	.	.	X
cana-3827	232	1	the	the	DET
cana-3827	232	2	resulting	result	VERB
cana-3827	232	3	normalized	normalize	VERB
cana-3827	232	4	values	value	NOUN
cana-3827	232	5	will	will	AUX
cana-3827	232	6	lie	lie	VERB
cana-3827	232	7	between	between	ADP
cana-3827	232	8	[	[	X
cana-3827	232	9	0	0	NUM
cana-3827	232	10	,	,	PUNCT
cana-3827	232	11	1	1	NUM
cana-3827	232	12	]	]	PUNCT
cana-3827	232	13	,	,	PUNCT
cana-3827	232	14	where	where	SCONJ
cana-3827	232	15	the	the	DET
cana-3827	232	16	dataset	dataset	NOUN
cana-3827	232	17	's	's	PART
cana-3827	232	18	minimum	minimum	ADJ
cana-3827	232	19	and	and	CCONJ
cana-3827	232	20	maximum	maximum	ADJ
cana-3827	232	21	values	value	NOUN
cana-3827	232	22	will	will	AUX
cana-3827	232	23	be	be	AUX
cana-3827	232	24	changed	change	VERB
cana-3827	232	25	to	to	ADP
cana-3827	232	26	0	0	NUM
cana-3827	232	27	and	and	CCONJ
cana-3827	232	28	1	1	NUM
cana-3827	232	29	,	,	PUNCT
cana-3827	232	30	respectively	respectively	ADV
cana-3827	232	31	.	.	PUNCT
cana-3827	233	1	although	although	SCONJ
cana-3827	233	2	other	other	ADJ
cana-3827	233	3	ranges	range	NOUN
cana-3827	233	4	can	can	AUX
cana-3827	233	5	be	be	AUX
cana-3827	233	6	chosen	choose	VERB
cana-3827	233	7	,	,	PUNCT
cana-3827	233	8	if	if	SCONJ
cana-3827	233	9	necessary	necessary	ADJ
cana-3827	233	10	,	,	PUNCT
cana-3827	233	11	[	[	X
cana-3827	233	12	0	0	NUM
cana-3827	233	13	,	,	PUNCT
cana-3827	233	14	1	1	NUM
cana-3827	233	15	]	]	PUNCT
cana-3827	233	16	is	be	AUX
cana-3827	233	17	the	the	DET
cana-3827	233	18	most	most	ADV
cana-3827	233	19	common	common	ADJ
cana-3827	233	20	choice	choice	NOUN
cana-3827	233	21	due	due	ADP
cana-3827	233	22	to	to	ADP
cana-3827	233	23	its	its	PRON
cana-3827	233	24	ease	ease	NOUN
cana-3827	233	25	of	of	ADP
cana-3827	233	26	interpretation	interpretation	NOUN
cana-3827	233	27	and	and	CCONJ
cana-3827	233	28	compatibility	compatibility	NOUN
cana-3827	233	29	with	with	ADP
cana-3827	233	30	many	many	ADJ
cana-3827	233	31	machine	machine	NOUN
cana-3827	233	32	learning	learn	VERB
cana-3827	233	33	algorithms	algorithm	NOUN
cana-3827	233	34	.	.	PUNCT
cana-3827	234	1	eq	eq	X
cana-3827	234	2	.	.	PUNCT
cana-3827	235	1	(	(	PUNCT
cana-3827	235	2	1	1	X
cana-3827	235	3	)	)	PUNCT
cana-3827	235	4	displays	display	VERB
cana-3827	235	5	the	the	DET
cana-3827	235	6	equation	equation	NOUN
cana-3827	235	7	for	for	ADP
cana-3827	235	8	min	min	NOUN
cana-3827	235	9	-	-	ADJ
cana-3827	235	10	max	max	PROPN
cana-3827	235	11	normalization	normalization	NOUN
cana-3827	235	12	,	,	PUNCT
cana-3827	235	13	where	where	SCONJ
cana-3827	235	14	min	min	NOUN
cana-3827	235	15	is	be	AUX
cana-3827	235	16	the	the	DET
cana-3827	235	17	value	value	NOUN
cana-3827	235	18	in	in	ADP
cana-3827	235	19	x	x	PROPN
cana-3827	235	20	that	that	PRON
cana-3827	235	21	is	be	AUX
cana-3827	235	22	the	the	DET
cana-3827	235	23	smallest	small	ADJ
cana-3827	235	24	,	,	PUNCT
cana-3827	235	25	max	max	PROPN
cana-3827	235	26	is	be	AUX
cana-3827	235	27	the	the	DET
cana-3827	235	28	value	value	NOUN
cana-3827	235	29	in	in	ADP
cana-3827	235	30	x	x	PROPN
cana-3827	235	31	that	that	PRON
cana-3827	235	32	is	be	AUX
cana-3827	235	33	the	the	DET
cana-3827	235	34	largest	large	ADJ
cana-3827	235	35	,	,	PUNCT
cana-3827	235	36	and	and	CCONJ
cana-3827	236	1	x	x	X
cana-3827	236	2	'	'	PUNCT
cana-3827	236	3	is	be	AUX
cana-3827	236	4	the	the	DET
cana-3827	236	5	normalized	normalize	VERB
cana-3827	236	6	data	datum	NOUN
cana-3827	236	7	[	[	X
cana-3827	236	8	36	36	NUM
cana-3827	236	9	]	]	PUNCT
cana-3827	236	10	.	.	PUNCT
cana-3827	237	1	𝒙′	𝒙′	X
cana-3827	238	1	=	=	PUNCT
cana-3827	238	2	𝒙−𝒎𝒊𝒏	𝒙−𝒎𝒊𝒏	VERB
cana-3827	238	3	𝐦𝐚𝐱	𝐦𝐚𝐱	NOUN
cana-3827	238	4	−	−	PROPN
cana-3827	238	5	𝒎𝒊𝒏	𝒎𝒊𝒏	ADJ
cana-3827	238	6	(	(	PUNCT
cana-3827	238	7	1	1	NUM
cana-3827	238	8	)	)	PUNCT
cana-3827	238	9	5.3	5.3	NUM
cana-3827	238	10	feature	feature	NOUN
cana-3827	238	11	extraction	extraction	NOUN
cana-3827	238	12	sometimes	sometimes	ADV
cana-3827	238	13	adding	add	VERB
cana-3827	238	14	more	more	ADJ
cana-3827	238	15	features	feature	NOUN
cana-3827	238	16	can	can	AUX
cana-3827	238	17	make	make	VERB
cana-3827	238	18	the	the	DET
cana-3827	238	19	model	model	NOUN
cana-3827	238	20	less	less	ADV
cana-3827	238	21	accurate	accurate	ADJ
cana-3827	238	22	.	.	PUNCT
cana-3827	239	1	therefore	therefore	ADV
cana-3827	239	2	,	,	PUNCT
cana-3827	239	3	feature	feature	NOUN
cana-3827	239	4	extraction	extraction	NOUN
cana-3827	239	5	can	can	AUX
cana-3827	239	6	be	be	AUX
cana-3827	239	7	used	use	VERB
cana-3827	239	8	to	to	PART
cana-3827	239	9	simplify	simplify	VERB
cana-3827	239	10	the	the	DET
cana-3827	239	11	model	model	NOUN
cana-3827	239	12	and	and	CCONJ
cana-3827	239	13	prevent	prevent	VERB
cana-3827	239	14	data	datum	NOUN
cana-3827	239	15	over	over	ADP
cana-3827	239	16	-	-	PUNCT
cana-3827	239	17	fitting	fitting	ADJ
cana-3827	239	18	.	.	PUNCT
cana-3827	240	1	by	by	ADP
cana-3827	240	2	extracting	extract	VERB
cana-3827	240	3	data	datum	NOUN
cana-3827	240	4	with	with	ADP
cana-3827	240	5	a	a	DET
cana-3827	240	6	lot	lot	NOUN
cana-3827	240	7	of	of	ADP
cana-3827	240	8	features	feature	NOUN
cana-3827	240	9	,	,	PUNCT
cana-3827	240	10	feature	feature	NOUN
cana-3827	240	11	extraction	extraction	NOUN
cana-3827	240	12	aims	aim	VERB
cana-3827	240	13	to	to	PART
cana-3827	240	14	produce	produce	VERB
cana-3827	240	15	altered	altered	ADJ
cana-3827	240	16	feature	feature	NOUN
cana-3827	240	17	domain	domain	NOUN
cana-3827	240	18	.	.	PUNCT
cana-3827	241	1	this	this	DET
cana-3827	241	2	paper	paper	NOUN
cana-3827	241	3	utilizes	utilize	VERB
cana-3827	241	4	the	the	DET
cana-3827	241	5	pca	pca	NOUN
cana-3827	241	6	technique	technique	NOUN
cana-3827	241	7	for	for	ADP
cana-3827	241	8	the	the	DET
cana-3827	241	9	purpose	purpose	NOUN
cana-3827	241	10	of	of	ADP
cana-3827	241	11	feature	feature	NOUN
cana-3827	241	12	extraction	extraction	NOUN
cana-3827	241	13	.	.	PUNCT
cana-3827	242	1	in	in	ADP
cana-3827	242	2	a	a	DET
cana-3827	242	3	data	datum	NOUN
cana-3827	242	4	set	set	VERB
cana-3827	242	5	with	with	ADP
cana-3827	242	6	more	more	ADJ
cana-3827	242	7	dimensions	dimension	NOUN
cana-3827	242	8	,	,	PUNCT
cana-3827	242	9	the	the	DET
cana-3827	242	10	direction	direction	NOUN
cana-3827	242	11	of	of	ADP
cana-3827	242	12	the	the	DET
cana-3827	242	13	most	most	ADV
cana-3827	242	14	significant	significant	ADJ
cana-3827	242	15	variance	variance	NOUN
cana-3827	242	16	is	be	AUX
cana-3827	242	17	identified	identify	VERB
cana-3827	242	18	via	via	ADP
cana-3827	242	19	pca	pca	PROPN
cana-3827	242	20	,	,	PUNCT
cana-3827	242	21	and	and	CCONJ
cana-3827	242	22	it	it	PRON
cana-3827	242	23	is	be	AUX
cana-3827	242	24	then	then	ADV
cana-3827	242	25	projected	project	VERB
cana-3827	242	26	onto	onto	ADP
cana-3827	242	27	a	a	DET
cana-3827	242	28	new	new	ADJ
cana-3827	242	29	sub	sub	NOUN
cana-3827	242	30	-	-	NOUN
cana-3827	242	31	space	space	NOUN
cana-3827	242	32	with	with	ADP
cana-3827	242	33	a	a	DET
cana-3827	242	34	smaller	small	ADJ
cana-3827	242	35	number	number	NOUN
cana-3827	242	36	of	of	ADP
cana-3827	242	37	dimensions	dimension	NOUN
cana-3827	242	38	.	.	PUNCT
cana-3827	243	1	equation	equation	NOUN
cana-3827	243	2	(	(	PUNCT
cana-3827	243	3	2	2	X
cana-3827	243	4	)	)	PUNCT
cana-3827	243	5	illustrates	illustrate	VERB
cana-3827	243	6	how	how	SCONJ
cana-3827	243	7	the	the	DET
cana-3827	243	8	mean	mean	ADJ
cana-3827	243	9	-	-	PUNCT
cana-3827	243	10	subtracted	subtract	VERB
cana-3827	243	11	data	data	NOUN
cana-3827	243	12	matrix	matrix	NOUN
cana-3827	243	13	is	be	AUX
cana-3827	243	14	used	use	VERB
cana-3827	243	15	to	to	PART
cana-3827	243	16	calculate	calculate	VERB
cana-3827	243	17	the	the	DET
cana-3827	243	18	covariance	covariance	NOUN
cana-3827	243	19	matrix	matrix	NOUN
cana-3827	243	20	for	for	ADP
cana-3827	243	21	the	the	DET
cana-3827	243	22	available	available	ADJ
cana-3827	243	23	data	datum	NOUN
cana-3827	243	24	.	.	PUNCT
cana-3827	244	1	when	when	SCONJ
cana-3827	244	2	d	d	NOUN
cana-3827	244	3	is	be	AUX
cana-3827	244	4	utilised	utilise	VERB
cana-3827	244	5	as	as	ADP
cana-3827	244	6	the	the	DET
cana-3827	244	7	diagonal	diagonal	ADJ
cana-3827	244	8	matrix	matrix	NOUN
cana-3827	244	9	for	for	ADP
cana-3827	244	10	the	the	DET
cana-3827	244	11	eigenvalues	eigenvalue	NOUN
cana-3827	244	12	of	of	ADP
cana-3827	244	13	c	c	NOUN
cana-3827	244	14	,	,	PUNCT
cana-3827	244	15	the	the	DET
cana-3827	244	16	covariance	covariance	NOUN
cana-3827	244	17	matrix	matrix	NOUN
cana-3827	244	18	c	c	NOUN
cana-3827	244	19	is	be	AUX
cana-3827	244	20	diagonalized	diagonalize	VERB
cana-3827	244	21	by	by	ADP
cana-3827	244	22	the	the	DET
cana-3827	244	23	eigenvector	eigenvector	NOUN
cana-3827	244	24	matrix	matrix	NOUN
cana-3827	244	25	v	v	NOUN
cana-3827	244	26	that	that	PRON
cana-3827	244	27	is	be	AUX
cana-3827	244	28	produced	produce	VERB
cana-3827	244	29	in	in	ADP
cana-3827	244	30	equation	equation	NOUN
cana-3827	244	31	(	(	PUNCT
cana-3827	244	32	3	3	NUM
cana-3827	244	33	)	)	PUNCT
cana-3827	244	34	.	.	PUNCT
cana-3827	245	1	the	the	DET
cana-3827	245	2	eigenvector	eigenvector	NOUN
cana-3827	245	3	that	that	PRON
cana-3827	245	4	corresponds	correspond	VERB
cana-3827	245	5	to	to	ADP
cana-3827	245	6	the	the	DET
cana-3827	245	7	highest	high	ADJ
cana-3827	245	8	eigenvalue	eigenvalue	NOUN
cana-3827	245	9	represents	represent	VERB
cana-3827	245	10	the	the	DET
cana-3827	245	11	primary	primary	ADJ
cana-3827	245	12	component	component	NOUN
cana-3827	245	13	of	of	ADP
cana-3827	245	14	the	the	DET
cana-3827	245	15	data	datum	NOUN
cana-3827	245	16	.	.	PUNCT
cana-3827	246	1	the	the	DET
cana-3827	246	2	appropriate	appropriate	ADJ
cana-3827	246	3	eigenvectors	eigenvector	NOUN
cana-3827	246	4	supply	supply	VERB
cana-3827	246	5	the	the	DET
cana-3827	246	6	required	require	VERB
cana-3827	246	7	components	component	NOUN
cana-3827	246	8	because	because	SCONJ
cana-3827	246	9	of	of	ADP
cana-3827	246	10	their	their	PRON
cana-3827	246	11	importance	importance	NOUN
cana-3827	246	12	.	.	PUNCT
cana-3827	247	1	after	after	ADP
cana-3827	247	2	that	that	PRON
cana-3827	247	3	,	,	PUNCT
cana-3827	247	4	the	the	DET
cana-3827	247	5	model	model	NOUN
cana-3827	247	6	receives	receive	VERB
cana-3827	247	7	the	the	DET
cana-3827	247	8	attributes	attribute	NOUN
cana-3827	247	9	extracted	extract	VERB
cana-3827	247	10	and	and	CCONJ
cana-3827	247	11	generates	generate	VERB
cana-3827	247	12	a	a	DET
cana-3827	247	13	prediction	prediction	NOUN
cana-3827	247	14	[	[	X
cana-3827	247	15	37	37	NUM
cana-3827	247	16	]	]	PUNCT
cana-3827	247	17	.	.	PUNCT
cana-3827	248	1	communications	communication	NOUN
cana-3827	248	2	on	on	ADP
cana-3827	248	3	applied	apply	VERB
cana-3827	248	4	nonlinear	nonlinear	ADJ
cana-3827	248	5	analysis	analysis	NOUN
cana-3827	248	6	issn	issn	NOUN
cana-3827	248	7	:	:	PUNCT
cana-3827	248	8	1074	1074	NUM
cana-3827	248	9	-	-	PUNCT
cana-3827	248	10	133x	133x	NUM
cana-3827	248	11	vol	vol	NOUN
cana-3827	248	12	32	32	NUM
cana-3827	248	13	no	no	NOUN
cana-3827	248	14	.	.	PUNCT
cana-3827	249	1	8s	8s	PROPN
cana-3827	249	2	(	(	PUNCT
cana-3827	249	3	2025	2025	NUM
cana-3827	249	4	)	)	PUNCT
cana-3827	249	5	856	856	NUM
cana-3827	249	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3827	249	7	𝑪	𝑪	NOUN
cana-3827	249	8	=	=	SYM
cana-3827	249	9	𝟏	𝟏	PUNCT
cana-3827	249	10	𝐧−𝟏	𝐧−𝟏	PROPN
cana-3827	249	11	𝑩	𝑩	PROPN
cana-3827	249	12	∗	∗	NOUN
cana-3827	249	13	𝑩	𝑩	PROPN
cana-3827	249	14	(	(	PUNCT
cana-3827	249	15	2	2	NUM
cana-3827	249	16	)	)	PUNCT
cana-3827	249	17	𝑽−𝟏𝑪𝑽	𝑽−𝟏𝑪𝑽	PROPN
cana-3827	249	18	=	=	SYM
cana-3827	249	19	𝐃	𝐃	PROPN
cana-3827	249	20	(	(	PUNCT
cana-3827	249	21	3	3	NUM
cana-3827	249	22	)	)	PUNCT
cana-3827	249	23	5.4	5.4	NUM
cana-3827	249	24	model	model	NOUN
cana-3827	249	25	selection	selection	NOUN
cana-3827	249	26	and	and	CCONJ
cana-3827	249	27	training	train	VERB
cana-3827	249	28	the	the	DET
cana-3827	249	29	proposed	propose	VERB
cana-3827	249	30	model	model	NOUN
cana-3827	249	31	was	be	AUX
cana-3827	249	32	developed	develop	VERB
cana-3827	249	33	using	use	VERB
cana-3827	249	34	the	the	DET
cana-3827	249	35	random	random	ADJ
cana-3827	249	36	forest	forest	NOUN
cana-3827	249	37	with	with	ADP
cana-3827	249	38	pca	pca	NOUN
cana-3827	249	39	technique	technique	NOUN
cana-3827	249	40	.	.	PUNCT
cana-3827	250	1	the	the	DET
cana-3827	250	2	functions	function	NOUN
cana-3827	250	3	offered	offer	VERB
cana-3827	250	4	by	by	ADP
cana-3827	250	5	the	the	DET
cana-3827	250	6	python	python	PROPN
cana-3827	250	7	scikit	scikit	NOUN
cana-3827	250	8	-	-	PUNCT
cana-3827	250	9	learn	learn	VERB
cana-3827	250	10	(	(	PUNCT
cana-3827	250	11	sklearn	sklearn	ADJ
cana-3827	250	12	)	)	PUNCT
cana-3827	250	13	machine	machine	NOUN
cana-3827	250	14	learning	learn	VERB
cana-3827	250	15	toolkit	toolkit	NOUN
cana-3827	250	16	were	be	AUX
cana-3827	250	17	used	use	VERB
cana-3827	250	18	to	to	PART
cana-3827	250	19	implement	implement	VERB
cana-3827	250	20	the	the	DET
cana-3827	250	21	random	random	ADJ
cana-3827	250	22	forest	forest	NOUN
cana-3827	250	23	.	.	PUNCT
cana-3827	251	1	a	a	DET
cana-3827	251	2	well	well	ADV
cana-3827	251	3	-	-	PUNCT
cana-3827	251	4	liked	like	VERB
cana-3827	251	5	supervised	supervise	VERB
cana-3827	251	6	classification	classification	NOUN
cana-3827	251	7	and	and	CCONJ
cana-3827	251	8	regression	regression	NOUN
cana-3827	251	9	method	method	NOUN
cana-3827	251	10	is	be	AUX
cana-3827	251	11	random	random	ADJ
cana-3827	251	12	forest	forest	NOUN
cana-3827	251	13	.	.	PUNCT
cana-3827	252	1	a	a	DET
cana-3827	252	2	collection	collection	NOUN
cana-3827	252	3	of	of	ADP
cana-3827	252	4	unpruned	unpruned	ADJ
cana-3827	252	5	classification	classification	NOUN
cana-3827	252	6	or	or	CCONJ
cana-3827	252	7	regression	regression	NOUN
cana-3827	252	8	trees	tree	NOUN
cana-3827	252	9	produced	produce	VERB
cana-3827	252	10	from	from	ADP
cana-3827	252	11	a	a	DET
cana-3827	252	12	randomly	randomly	ADV
cana-3827	252	13	selected	select	VERB
cana-3827	252	14	sample	sample	NOUN
cana-3827	252	15	of	of	ADP
cana-3827	252	16	training	training	NOUN
cana-3827	252	17	data	datum	NOUN
cana-3827	252	18	is	be	AUX
cana-3827	252	19	known	know	VERB
cana-3827	252	20	as	as	ADP
cana-3827	252	21	the	the	DET
cana-3827	252	22	random	random	ADJ
cana-3827	252	23	forest	forest	NOUN
cana-3827	253	1	[	[	X
cana-3827	253	2	38	38	NUM
cana-3827	253	3	]	]	PUNCT
cana-3827	253	4	.	.	PUNCT
cana-3827	254	1	attributes	attribute	NOUN
cana-3827	254	2	are	be	AUX
cana-3827	254	3	chosen	choose	VERB
cana-3827	254	4	at	at	ADP
cana-3827	254	5	randomly	randomly	ADV
cana-3827	254	6	during	during	ADP
cana-3827	254	7	the	the	DET
cana-3827	254	8	induction	induction	NOUN
cana-3827	254	9	phase	phase	NOUN
cana-3827	254	10	,	,	PUNCT
cana-3827	254	11	and	and	CCONJ
cana-3827	254	12	the	the	DET
cana-3827	254	13	group	group	NOUN
cana-3827	254	14	's	's	PART
cana-3827	254	15	forecasts	forecast	NOUN
cana-3827	254	16	are	be	AUX
cana-3827	254	17	combined	combine	VERB
cana-3827	254	18	to	to	PART
cana-3827	254	19	create	create	VERB
cana-3827	254	20	the	the	DET
cana-3827	254	21	final	final	ADJ
cana-3827	254	22	forecast	forecast	NOUN
cana-3827	254	23	.	.	PUNCT
cana-3827	255	1	figure	figure	VERB
cana-3827	255	2	3[39	3[39	NUM
cana-3827	255	3	]	]	PUNCT
cana-3827	255	4	illustrates	illustrate	VERB
cana-3827	255	5	the	the	DET
cana-3827	255	6	schematic	schematic	ADJ
cana-3827	255	7	of	of	ADP
cana-3827	255	8	the	the	DET
cana-3827	255	9	random	random	ADJ
cana-3827	255	10	forest	forest	NOUN
cana-3827	255	11	algorithm	algorithm	NOUN
cana-3827	255	12	.	.	PUNCT
cana-3827	256	1	following	follow	VERB
cana-3827	256	2	is	be	AUX
cana-3827	256	3	a	a	DET
cana-3827	256	4	description	description	NOUN
cana-3827	256	5	of	of	ADP
cana-3827	256	6	the	the	DET
cana-3827	256	7	training	training	NOUN
cana-3827	256	8	part	part	NOUN
cana-3827	256	9	of	of	ADP
cana-3827	256	10	the	the	DET
cana-3827	256	11	algorithm	algorithm	NOUN
cana-3827	256	12	:	:	PUNCT
cana-3827	256	13	trees	tree	NOUN
cana-3827	256	14	hj(x	hj(x	PRON
cana-3827	256	15	,	,	PUNCT
cana-3827	256	16	θj	θj	NOUN
cana-3827	256	17	)	)	PUNCT
cana-3827	256	18	are	be	AUX
cana-3827	256	19	used	use	VERB
cana-3827	256	20	as	as	ADP
cana-3827	256	21	the	the	DET
cana-3827	256	22	base	base	NOUN
cana-3827	256	23	learners	learner	NOUN
cana-3827	256	24	in	in	ADP
cana-3827	256	25	a	a	DET
cana-3827	256	26	random	random	ADJ
cana-3827	256	27	forest	forest	NOUN
cana-3827	256	28	.	.	PUNCT
cana-3827	257	1	the	the	DET
cana-3827	257	2	trained	train	VERB
cana-3827	257	3	tree	tree	NOUN
cana-3827	257	4	is	be	AUX
cana-3827	257	5	denoted	denote	VERB
cana-3827	257	6	as	as	ADP
cana-3827	257	7	hˆ	hˆ	PROPN
cana-3827	257	8	j(x	j(x	PROPN
cana-3827	257	9	,	,	PUNCT
cana-3827	257	10	θ	θ	PROPN
cana-3827	257	11	j	j	PROPN
cana-3827	257	12	,	,	PUNCT
cana-3827	257	13	d	d	PROPN
cana-3827	257	14	)	)	PUNCT
cana-3827	257	15	with	with	ADP
cana-3827	257	16	training	training	NOUN
cana-3827	257	17	data	datum	NOUN
cana-3827	258	1	d	d	NOUN
cana-3827	258	2	=	=	PRON
cana-3827	258	3	{	{	PUNCT
cana-3827	258	4	(	(	PUNCT
cana-3827	258	5	x1	x1	PROPN
cana-3827	258	6	,	,	PUNCT
cana-3827	258	7	y1),	y1),	NUM
cana-3827	258	8	...	...	PUNCT
cana-3827	258	9	,(xn	,(xn	PUNCT
cana-3827	258	10	,	,	PUNCT
cana-3827	258	11	yn	yn	PROPN
cana-3827	258	12	)	)	PUNCT
cana-3827	258	13	}	}	PUNCT
cana-3827	258	14	,	,	PUNCT
cana-3827	258	15	where	where	SCONJ
cana-3827	258	16	xi	xi	X
cana-3827	258	17	=	=	SYM
cana-3827	258	18	(	(	PUNCT
cana-3827	258	19	xi,1	xi,1	PROPN
cana-3827	258	20	,	,	PUNCT
cana-3827	258	21	...	...	PUNCT
cana-3827	258	22	,	,	PUNCT
cana-3827	258	23	xi	xi	PROPN
cana-3827	258	24	,	,	PUNCT
cana-3827	258	25	p	p	NOUN
cana-3827	258	26	)	)	PUNCT
cana-3827	258	27	t	t	PROPN
cana-3827	258	28	represents	represent	VERB
cana-3827	258	29	the	the	DET
cana-3827	258	30	p	p	ADJ
cana-3827	258	31	predictors	predictor	NOUN
cana-3827	258	32	,	,	PUNCT
cana-3827	258	33	and	and	CCONJ
cana-3827	258	34	yi	yi	PROPN
cana-3827	258	35	is	be	AUX
cana-3827	258	36	the	the	DET
cana-3827	258	37	response	response	NOUN
cana-3827	258	38	,	,	PUNCT
cana-3827	258	39	given	give	VERB
cana-3827	258	40	a	a	DET
cana-3827	258	41	particular	particular	ADJ
cana-3827	258	42	realization	realization	NOUN
cana-3827	258	43	θ	θ	PROPN
cana-3827	258	44	j	j	PROPN
cana-3827	258	45	of	of	ADP
cana-3827	258	46	θj	θj	PROPN
cana-3827	258	47	.	.	PUNCT
cana-3827	259	1	the	the	DET
cana-3827	259	2	following	follow	VERB
cana-3827	259	3	is	be	AUX
cana-3827	259	4	a	a	DET
cana-3827	259	5	description	description	NOUN
cana-3827	259	6	of	of	ADP
cana-3827	259	7	the	the	DET
cana-3827	259	8	random	random	ADJ
cana-3827	259	9	forest	forest	NOUN
cana-3827	259	10	classification	classification	NOUN
cana-3827	259	11	algorithm	algorithm	NOUN
cana-3827	259	12	[	[	X
cana-3827	259	13	40	40	NUM
cana-3827	259	14	]	]	PUNCT
cana-3827	259	15	.	.	PUNCT
cana-3827	260	1	let	let	VERB
cana-3827	260	2	's	us	PRON
cana-3827	260	3	designate	designate	ADJ
cana-3827	260	4	d	d	NOUN
cana-3827	260	5	=	=	PRON
cana-3827	260	6	{	{	PUNCT
cana-3827	260	7	(	(	PUNCT
cana-3827	260	8	x1	x1	PROPN
cana-3827	260	9	,	,	PUNCT
cana-3827	260	10	y1),	y1),	NUM
cana-3827	260	11	...	...	PUNCT
cana-3827	260	12	,(xn	,(xn	PUNCT
cana-3827	260	13	,	,	PUNCT
cana-3827	260	14	yn	yn	PROPN
cana-3827	260	15	)	)	PUNCT
cana-3827	260	16	}	}	PUNCT
cana-3827	260	17	as	as	ADP
cana-3827	260	18	the	the	DET
cana-3827	260	19	training	training	NOUN
cana-3827	260	20	dataset	dataset	NOUN
cana-3827	260	21	,	,	PUNCT
cana-3827	260	22	where	where	SCONJ
cana-3827	260	23	xi	xi	X
cana-3827	260	24	=	=	SYM
cana-3827	260	25	(	(	PUNCT
cana-3827	260	26	xi,1	xi,1	PROPN
cana-3827	260	27	,	,	PUNCT
cana-3827	260	28	...	...	PUNCT
cana-3827	260	29	,	,	PUNCT
cana-3827	260	30	xi	xi	PROPN
cana-3827	260	31	,	,	PUNCT
cana-3827	260	32	p	p	NOUN
cana-3827	260	33	)	)	PUNCT
cana-3827	260	34	t.	t.	NOUN
cana-3827	260	35	for	for	ADP
cana-3827	260	36	each	each	DET
cana-3827	260	37	index	index	NOUN
cana-3827	260	38	from	from	ADP
cana-3827	260	39	1	1	NUM
cana-3827	260	40	through	through	ADP
cana-3827	260	41	j	j	PROPN
cana-3827	260	42	:	:	PUNCT
cana-3827	260	43	1	1	X
cana-3827	260	44	.	.	X
cana-3827	260	45	generate	generate	VERB
cana-3827	260	46	a	a	DET
cana-3827	260	47	bootstrap	bootstrap	NOUN
cana-3827	260	48	sample	sample	NOUN
cana-3827	260	49	dj	dj	NOUN
cana-3827	260	50	from	from	ADP
cana-3827	260	51	d	d	PROPN
cana-3827	260	52	with	with	ADP
cana-3827	260	53	a	a	DET
cana-3827	260	54	size	size	NOUN
cana-3827	260	55	of	of	ADP
cana-3827	260	56	n.	n.	PROPN
cana-3827	260	57	2	2	NUM
cana-3827	260	58	.	.	PUNCT
cana-3827	260	59	employ	employ	VERB
cana-3827	260	60	binary	binary	ADJ
cana-3827	260	61	recursive	recursive	NOUN
cana-3827	260	62	partitioning	partitioning	NOUN
cana-3827	260	63	to	to	PART
cana-3827	260	64	construct	construct	VERB
cana-3827	260	65	a	a	DET
cana-3827	260	66	tree	tree	NOUN
cana-3827	260	67	using	use	VERB
cana-3827	260	68	the	the	DET
cana-3827	260	69	bootstrap	bootstrap	NOUN
cana-3827	260	70	sample	sample	NOUN
cana-3827	260	71	dj	dj	NOUN
cana-3827	260	72	as	as	ADP
cana-3827	260	73	the	the	DET
cana-3827	260	74	training	training	NOUN
cana-3827	260	75	data	datum	NOUN
cana-3827	260	76	.	.	PUNCT
cana-3827	261	1	a.	a.	NOUN
cana-3827	261	2	aggregate	aggregate	VERB
cana-3827	261	3	all	all	DET
cana-3827	261	4	observations	observation	NOUN
cana-3827	261	5	into	into	ADP
cana-3827	261	6	a	a	DET
cana-3827	261	7	single	single	ADJ
cana-3827	261	8	node	node	NOUN
cana-3827	261	9	to	to	PART
cana-3827	261	10	initiate	initiate	VERB
cana-3827	261	11	.	.	PUNCT
cana-3827	262	1	b.	b.	PROPN
cana-3827	263	1	for	for	ADP
cana-3827	263	2	each	each	DET
cana-3827	263	3	undivided	undivided	ADJ
cana-3827	263	4	node	node	NOUN
cana-3827	263	5	,	,	PUNCT
cana-3827	263	6	execute	execute	VERB
cana-3827	263	7	the	the	DET
cana-3827	263	8	following	follow	VERB
cana-3827	263	9	steps	step	NOUN
cana-3827	263	10	recursively	recursively	ADV
cana-3827	263	11	until	until	SCONJ
cana-3827	263	12	the	the	DET
cana-3827	263	13	stopping	stopping	NOUN
cana-3827	263	14	criterion	criterion	NOUN
cana-3827	263	15	is	be	AUX
cana-3827	263	16	met	meet	VERB
cana-3827	263	17	:	:	PUNCT
cana-3827	263	18	i.	i.	NOUN
cana-3827	263	19	randomly	randomly	ADV
cana-3827	263	20	select	select	VERB
cana-3827	263	21	m	m	VERB
cana-3827	263	22	variables	variable	NOUN
cana-3827	263	23	at	at	ADP
cana-3827	263	24	random	random	ADJ
cana-3827	263	25	from	from	ADP
cana-3827	263	26	the	the	DET
cana-3827	263	27	p	p	NOUN
cana-3827	263	28	available	available	ADJ
cana-3827	263	29	variables	variable	NOUN
cana-3827	263	30	.	.	PUNCT
cana-3827	264	1	ii	ii	X
cana-3827	264	2	.	.	PUNCT
cana-3827	265	1	among	among	ADP
cana-3827	265	2	the	the	DET
cana-3827	265	3	m	m	NOUN
cana-3827	265	4	variables	variable	NOUN
cana-3827	265	5	,	,	PUNCT
cana-3827	265	6	find	find	VERB
cana-3827	265	7	the	the	DET
cana-3827	265	8	best	good	ADJ
cana-3827	265	9	binary	binary	ADJ
cana-3827	265	10	divide	divide	NOUN
cana-3827	265	11	from	from	ADP
cana-3827	265	12	step	step	NOUN
cana-3827	265	13	1	1	NUM
cana-3827	265	14	for	for	ADP
cana-3827	265	15	each	each	DET
cana-3827	265	16	variable	variable	NOUN
cana-3827	265	17	.	.	PUNCT
cana-3827	266	1	iii	iii	X
cana-3827	266	2	.	.	PROPN
cana-3827	266	3	divide	divide	VERB
cana-3827	266	4	the	the	DET
cana-3827	266	5	node	node	NOUN
cana-3827	266	6	into	into	ADP
cana-3827	266	7	two	two	NUM
cana-3827	266	8	descendant	descendant	ADJ
cana-3827	266	9	nodes	node	NOUN
cana-3827	266	10	using	use	VERB
cana-3827	266	11	the	the	DET
cana-3827	266	12	partition	partition	NOUN
cana-3827	266	13	that	that	PRON
cana-3827	266	14	was	be	AUX
cana-3827	266	15	established	establish	VERB
cana-3827	266	16	in	in	ADP
cana-3827	266	17	step	step	PROPN
cana-3827	266	18	ii	ii	PROPN
cana-3827	266	19	.	.	PUNCT
cana-3827	267	1	the	the	DET
cana-3827	267	2	formula	formula	NOUN
cana-3827	267	3	to	to	PART
cana-3827	267	4	forecast	forecast	VERB
cana-3827	267	5	the	the	DET
cana-3827	267	6	categorization	categorization	NOUN
cana-3827	267	7	at	at	ADP
cana-3827	267	8	a	a	DET
cana-3827	267	9	new	new	ADJ
cana-3827	267	10	point	point	NOUN
cana-3827	267	11	x	x	VERB
cana-3827	267	12	is	be	AUX
cana-3827	267	13	as	as	SCONJ
cana-3827	267	14	follows	follow	VERB
cana-3827	267	15	:	:	PUNCT
cana-3827	267	16	ˆ𝐟(𝐱	ˆ𝐟(𝐱	X
cana-3827	267	17	)	)	PUNCT
cana-3827	267	18	=	=	VERB
cana-3827	268	1	𝐚𝐫𝐠𝐦𝐚𝐱𝐲	𝐚𝐫𝐠𝐦𝐚𝐱𝐲	ADJ
cana-3827	268	2	∑	∑	PUNCT
cana-3827	268	3	𝐉	𝐉	PROPN
cana-3827	268	4	𝐣	𝐣	X
cana-3827	268	5	=	=	SYM
cana-3827	268	6	𝟏	𝟏	NOUN
cana-3827	268	7	𝐈(𝐡ˆ	𝐈(𝐡ˆ	NOUN
cana-3827	268	8	𝐣(𝐱	𝐣(𝐱	NUM
cana-3827	268	9	)	)	PUNCT
cana-3827	268	10	=	=	SYM
cana-3827	268	11	𝐲	𝐲	NOUN
cana-3827	268	12	)	)	PUNCT
cana-3827	268	13	(	(	PUNCT
cana-3827	268	14	4	4	X
cana-3827	268	15	)	)	PUNCT
cana-3827	268	16	in	in	ADP
cana-3827	268	17	this	this	DET
cana-3827	268	18	instance	instance	NOUN
cana-3827	268	19	,	,	PUNCT
cana-3827	268	20	hˆ	hˆ	PROPN
cana-3827	268	21	j(x	j(x	PROPN
cana-3827	268	22	)	)	PUNCT
cana-3827	268	23	is	be	AUX
cana-3827	268	24	the	the	DET
cana-3827	268	25	jth	jth	PROPN
cana-3827	268	26	tree	tree	PROPN
cana-3827	268	27	's	's	PART
cana-3827	268	28	forecast	forecast	NOUN
cana-3827	268	29	of	of	ADP
cana-3827	268	30	the	the	DET
cana-3827	268	31	answer	answer	ADJ
cana-3827	268	32	variable	variable	NOUN
cana-3827	268	33	at	at	ADP
cana-3827	268	34	x.	x.	NOUN
cana-3827	268	35	communications	communication	NOUN
cana-3827	268	36	on	on	ADP
cana-3827	268	37	applied	apply	VERB
cana-3827	268	38	nonlinear	nonlinear	ADJ
cana-3827	268	39	analysis	analysis	NOUN
cana-3827	268	40	issn	issn	NOUN
cana-3827	268	41	:	:	PUNCT
cana-3827	268	42	1074	1074	NUM
cana-3827	268	43	-	-	PUNCT
cana-3827	268	44	133x	133x	NUM
cana-3827	268	45	vol	vol	NOUN
cana-3827	268	46	32	32	NUM
cana-3827	268	47	no	no	NOUN
cana-3827	268	48	.	.	PUNCT
cana-3827	269	1	8s	8s	PROPN
cana-3827	269	2	(	(	PUNCT
cana-3827	269	3	2025	2025	NUM
cana-3827	269	4	)	)	PUNCT
cana-3827	269	5	857	857	NUM
cana-3827	269	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3827	269	7	figure	figure	NOUN
cana-3827	269	8	3	3	NUM
cana-3827	269	9	:	:	PUNCT
cana-3827	269	10	schematic	schematic	ADJ
cana-3827	269	11	of	of	ADP
cana-3827	269	12	random	random	ADJ
cana-3827	269	13	forest	forest	NOUN
cana-3827	269	14	algorithm	algorithm	NOUN
cana-3827	269	15	in	in	ADP
cana-3827	269	16	this	this	DET
cana-3827	269	17	study	study	NOUN
cana-3827	269	18	,	,	PUNCT
cana-3827	269	19	a	a	DET
cana-3827	269	20	randomized	randomized	ADJ
cana-3827	269	21	search	search	NOUN
cana-3827	269	22	is	be	AUX
cana-3827	269	23	employed	employ	VERB
cana-3827	269	24	for	for	ADP
cana-3827	269	25	hyperparameter	hyperparameter	NOUN
cana-3827	269	26	tuning	tuning	NOUN
cana-3827	269	27	.	.	PUNCT
cana-3827	270	1	randomized	randomized	ADJ
cana-3827	270	2	search	search	NOUN
cana-3827	270	3	is	be	AUX
cana-3827	270	4	one	one	NUM
cana-3827	270	5	of	of	ADP
cana-3827	270	6	the	the	DET
cana-3827	270	7	most	most	ADV
cana-3827	270	8	popular	popular	ADJ
cana-3827	270	9	algorithms	algorithm	NOUN
cana-3827	270	10	for	for	ADP
cana-3827	270	11	finding	find	VERB
cana-3827	270	12	the	the	DET
cana-3827	270	13	best	good	ADJ
cana-3827	270	14	parameters	parameter	NOUN
cana-3827	270	15	.	.	PUNCT
cana-3827	271	1	the	the	DET
cana-3827	271	2	number	number	NOUN
cana-3827	271	3	of	of	ADP
cana-3827	271	4	estimators	estimator	NOUN
cana-3827	271	5	,	,	PUNCT
cana-3827	271	6	minimum	minimum	ADJ
cana-3827	271	7	leaf	leaf	NOUN
cana-3827	271	8	sample	sample	NOUN
cana-3827	271	9	,	,	PUNCT
cana-3827	271	10	maximum	maximum	ADJ
cana-3827	271	11	feature	feature	NOUN
cana-3827	271	12	,	,	PUNCT
cana-3827	271	13	maximum	maximum	ADJ
cana-3827	271	14	depth	depth	NOUN
cana-3827	271	15	,	,	PUNCT
cana-3827	271	16	and	and	CCONJ
cana-3827	271	17	bootstrap	bootstrap	NOUN
cana-3827	271	18	were	be	AUX
cana-3827	271	19	chosen	choose	VERB
cana-3827	271	20	as	as	ADP
cana-3827	271	21	the	the	DET
cana-3827	271	22	random	random	ADJ
cana-3827	271	23	forest	forest	NOUN
cana-3827	271	24	algorithm	algorithm	NOUN
cana-3827	271	25	's	's	PART
cana-3827	271	26	training	training	NOUN
cana-3827	271	27	parameters	parameter	NOUN
cana-3827	271	28	.	.	PUNCT
cana-3827	272	1	when	when	SCONJ
cana-3827	272	2	working	work	VERB
cana-3827	272	3	with	with	ADP
cana-3827	272	4	huge	huge	ADJ
cana-3827	272	5	datasets	dataset	NOUN
cana-3827	272	6	,	,	PUNCT
cana-3827	272	7	it	it	PRON
cana-3827	272	8	is	be	AUX
cana-3827	272	9	impossible	impossible	ADJ
cana-3827	272	10	to	to	PART
cana-3827	272	11	avoid	avoid	VERB
cana-3827	272	12	the	the	DET
cana-3827	272	13	fact	fact	NOUN
cana-3827	272	14	that	that	SCONJ
cana-3827	272	15	the	the	DET
cana-3827	272	16	model	model	NOUN
cana-3827	272	17	's	's	PART
cana-3827	272	18	overall	overall	ADJ
cana-3827	272	19	training	training	NOUN
cana-3827	272	20	time	time	NOUN
cana-3827	272	21	will	will	AUX
cana-3827	272	22	increase	increase	VERB
cana-3827	272	23	as	as	SCONJ
cana-3827	272	24	it	it	PRON
cana-3827	272	25	is	be	AUX
cana-3827	272	26	trained	train	VERB
cana-3827	272	27	and	and	CCONJ
cana-3827	272	28	cross	cross	ADJ
cana-3827	272	29	-	-	VERB
cana-3827	272	30	validated	validated	ADJ
cana-3827	272	31	with	with	ADP
cana-3827	272	32	different	different	ADJ
cana-3827	272	33	parameters	parameter	NOUN
cana-3827	272	34	[	[	X
cana-3827	272	35	41	41	NUM
cana-3827	272	36	]	]	PUNCT
cana-3827	272	37	.	.	PUNCT
cana-3827	273	1	the	the	DET
cana-3827	273	2	parameters	parameter	NOUN
cana-3827	273	3	with	with	ADP
cana-3827	273	4	the	the	DET
cana-3827	273	5	best	good	ADJ
cana-3827	273	6	scores	score	NOUN
cana-3827	273	7	are	be	AUX
cana-3827	273	8	shown	show	VERB
cana-3827	273	9	in	in	ADP
cana-3827	273	10	table	table	NOUN
cana-3827	273	11	4	4	NUM
cana-3827	273	12	.	.	PUNCT
cana-3827	274	1	the	the	DET
cana-3827	274	2	number	number	NOUN
cana-3827	274	3	of	of	ADP
cana-3827	274	4	estimators	estimator	NOUN
cana-3827	274	5	determines	determine	VERB
cana-3827	274	6	the	the	DET
cana-3827	274	7	number	number	NOUN
cana-3827	274	8	of	of	ADP
cana-3827	274	9	individual	individual	ADJ
cana-3827	274	10	decision	decision	NOUN
cana-3827	274	11	trees	tree	NOUN
cana-3827	274	12	that	that	PRON
cana-3827	274	13	will	will	AUX
cana-3827	274	14	be	be	AUX
cana-3827	274	15	employed	employ	VERB
cana-3827	274	16	in	in	ADP
cana-3827	274	17	the	the	DET
cana-3827	274	18	random	random	ADJ
cana-3827	274	19	forest	forest	NOUN
cana-3827	274	20	ensemble	ensemble	ADJ
cana-3827	274	21	.	.	PUNCT
cana-3827	275	1	the	the	DET
cana-3827	275	2	minimum	minimum	ADJ
cana-3827	275	3	leaf	leaf	NOUN
cana-3827	275	4	sample	sample	NOUN
cana-3827	275	5	determines	determine	VERB
cana-3827	275	6	how	how	SCONJ
cana-3827	275	7	many	many	ADJ
cana-3827	275	8	samples	sample	NOUN
cana-3827	275	9	must	must	AUX
cana-3827	275	10	be	be	AUX
cana-3827	275	11	present	present	ADJ
cana-3827	275	12	at	at	ADP
cana-3827	275	13	each	each	DET
cana-3827	275	14	decision	decision	NOUN
cana-3827	275	15	tree	tree	NOUN
cana-3827	275	16	's	's	PART
cana-3827	275	17	leaf	leaf	NOUN
cana-3827	275	18	node	node	NOUN
cana-3827	275	19	.	.	PUNCT
cana-3827	276	1	in	in	ADP
cana-3827	276	2	a	a	DET
cana-3827	276	3	decision	decision	NOUN
cana-3827	276	4	tree	tree	NOUN
cana-3827	276	5	,	,	PUNCT
cana-3827	276	6	the	the	DET
cana-3827	276	7	maximum	maximum	ADJ
cana-3827	276	8	feature	feature	NOUN
cana-3827	276	9	indicates	indicate	VERB
cana-3827	276	10	the	the	DET
cana-3827	276	11	greatest	great	ADJ
cana-3827	276	12	number	number	NOUN
cana-3827	276	13	of	of	ADP
cana-3827	276	14	characteristics	characteristic	NOUN
cana-3827	276	15	that	that	PRON
cana-3827	276	16	are	be	AUX
cana-3827	276	17	taken	take	VERB
cana-3827	276	18	into	into	ADP
cana-3827	276	19	account	account	NOUN
cana-3827	276	20	for	for	ADP
cana-3827	276	21	determining	determine	VERB
cana-3827	276	22	the	the	DET
cana-3827	276	23	optimum	optimum	ADJ
cana-3827	276	24	divide	divide	NOUN
cana-3827	276	25	at	at	ADP
cana-3827	276	26	each	each	DET
cana-3827	276	27	node	node	NOUN
cana-3827	276	28	.	.	PUNCT
cana-3827	277	1	each	each	DET
cana-3827	277	2	decision	decision	NOUN
cana-3827	277	3	tree	tree	NOUN
cana-3827	277	4	's	's	PART
cana-3827	277	5	maximum	maximum	ADJ
cana-3827	277	6	depth	depth	NOUN
cana-3827	277	7	is	be	AUX
cana-3827	277	8	determined	determine	VERB
cana-3827	277	9	by	by	ADP
cana-3827	277	10	its	its	PRON
cana-3827	277	11	maximum	maximum	ADJ
cana-3827	277	12	depth	depth	NOUN
cana-3827	277	13	.	.	PUNCT
cana-3827	278	1	additionally	additionally	ADV
cana-3827	278	2	,	,	PUNCT
cana-3827	278	3	each	each	DET
cana-3827	278	4	decision	decision	NOUN
cana-3827	278	5	tree	tree	NOUN
cana-3827	278	6	is	be	AUX
cana-3827	278	7	built	build	VERB
cana-3827	278	8	using	use	VERB
cana-3827	278	9	a	a	DET
cana-3827	278	10	random	random	ADJ
cana-3827	278	11	forest	forest	NOUN
cana-3827	278	12	using	use	VERB
cana-3827	278	13	a	a	DET
cana-3827	278	14	method	method	NOUN
cana-3827	278	15	known	know	VERB
cana-3827	278	16	as	as	ADP
cana-3827	278	17	bootstrapped	bootstrapped	ADJ
cana-3827	278	18	sampling	sampling	NOUN
cana-3827	278	19	,	,	PUNCT
cana-3827	278	20	which	which	PRON
cana-3827	278	21	generates	generate	VERB
cana-3827	278	22	numerous	numerous	ADJ
cana-3827	278	23	datasets	dataset	NOUN
cana-3827	278	24	by	by	ADP
cana-3827	278	25	randomly	randomly	ADV
cana-3827	278	26	sampling	sample	VERB
cana-3827	278	27	the	the	DET
cana-3827	278	28	original	original	ADJ
cana-3827	278	29	data	datum	NOUN
cana-3827	278	30	and	and	CCONJ
cana-3827	278	31	replacing	replace	VERB
cana-3827	278	32	it	it	PRON
cana-3827	278	33	.	.	PUNCT
cana-3827	279	1	table	table	NOUN
cana-3827	279	2	4	4	NUM
cana-3827	279	3	.	.	PUNCT
cana-3827	280	1	optimum	optimum	ADJ
cana-3827	280	2	values	value	NOUN
cana-3827	280	3	for	for	ADP
cana-3827	280	4	the	the	DET
cana-3827	280	5	parameters	parameter	NOUN
cana-3827	280	6	sl	sl	VERB
cana-3827	280	7	no	no	DET
cana-3827	280	8	name	name	NOUN
cana-3827	280	9	of	of	ADP
cana-3827	280	10	parameter	parameter	NOUN
cana-3827	280	11	value	value	NOUN
cana-3827	280	12	1	1	NUM
cana-3827	280	13	number	number	NOUN
cana-3827	280	14	of	of	ADP
cana-3827	280	15	estimators	estimator	NOUN
cana-3827	280	16	351	351	NUM
cana-3827	280	17	2	2	NUM
cana-3827	280	18	minimum	minimum	NOUN
cana-3827	280	19	samples	sample	NOUN
cana-3827	280	20	of	of	ADP
cana-3827	280	21	split	split	ADJ
cana-3827	280	22	5	5	NUM
cana-3827	280	23	3	3	NUM
cana-3827	280	24	minimum	minimum	NOUN
cana-3827	280	25	samples	sample	NOUN
cana-3827	280	26	of	of	ADP
cana-3827	280	27	leaf	leaf	NOUN
cana-3827	280	28	2	2	NUM
cana-3827	280	29	4	4	NUM
cana-3827	280	30	maximum	maximum	ADJ
cana-3827	280	31	depth	depth	NOUN
cana-3827	280	32	5	5	NUM
cana-3827	280	33	5	5	NUM
cana-3827	280	34	maximum	maximum	ADJ
cana-3827	280	35	feature	feature	NOUN
cana-3827	280	36	’	'	PUNCT
cana-3827	280	37	sqrt	sqrt	NOUN
cana-3827	280	38	’	'	PUNCT
cana-3827	280	39	6	6	NUM
cana-3827	280	40	bootstrap	bootstrap	NOUN
cana-3827	280	41	false	false	ADJ
cana-3827	280	42	5.4.1	5.4.1	NUM
cana-3827	280	43	accumulated	accumulate	VERB
cana-3827	280	44	local	local	ADJ
cana-3827	280	45	effects	effect	NOUN
cana-3827	280	46	(	(	PUNCT
cana-3827	280	47	ale	ale	NOUN
cana-3827	280	48	)	)	PUNCT
cana-3827	280	49	interpretable	interpretable	ADJ
cana-3827	280	50	machine	machine	NOUN
cana-3827	280	51	learning	learning	NOUN
cana-3827	280	52	uses	use	VERB
cana-3827	280	53	a	a	DET
cana-3827	280	54	technique	technique	NOUN
cana-3827	280	55	called	call	VERB
cana-3827	280	56	accumulated	accumulate	VERB
cana-3827	280	57	local	local	ADJ
cana-3827	280	58	effects	effect	NOUN
cana-3827	280	59	(	(	PUNCT
cana-3827	280	60	ale	ale	NOUN
cana-3827	280	61	)	)	PUNCT
cana-3827	281	1	[	[	X
cana-3827	281	2	42	42	NUM
cana-3827	281	3	]	]	PUNCT
cana-3827	281	4	to	to	PART
cana-3827	281	5	examine	examine	VERB
cana-3827	281	6	how	how	SCONJ
cana-3827	281	7	individual	individual	ADJ
cana-3827	281	8	features	feature	NOUN
cana-3827	281	9	affect	affect	VERB
cana-3827	281	10	a	a	DET
cana-3827	281	11	model	model	NOUN
cana-3827	281	12	's	's	PART
cana-3827	281	13	predictions	prediction	NOUN
cana-3827	281	14	.	.	PUNCT
cana-3827	282	1	ale	ale	NOUN
cana-3827	282	2	is	be	AUX
cana-3827	282	3	computationally	computationally	ADV
cana-3827	282	4	efficient	efficient	ADJ
cana-3827	282	5	and	and	CCONJ
cana-3827	282	6	unbiased	unbiased	ADJ
cana-3827	282	7	in	in	ADP
cana-3827	282	8	the	the	DET
cana-3827	282	9	presence	presence	NOUN
cana-3827	282	10	of	of	ADP
cana-3827	282	11	correlated	correlate	VERB
cana-3827	282	12	features	feature	NOUN
cana-3827	282	13	because	because	SCONJ
cana-3827	282	14	,	,	PUNCT
cana-3827	282	15	in	in	ADP
cana-3827	282	16	contrast	contrast	NOUN
cana-3827	282	17	to	to	ADP
cana-3827	282	18	partial	partial	ADJ
cana-3827	282	19	dependence	dependence	NOUN
cana-3827	282	20	plots	plot	NOUN
cana-3827	282	21	,	,	PUNCT
cana-3827	282	22	it	it	PRON
cana-3827	282	23	isolates	isolate	VERB
cana-3827	282	24	the	the	DET
cana-3827	282	25	impacts	impact	NOUN
cana-3827	282	26	of	of	ADP
cana-3827	282	27	each	each	DET
cana-3827	282	28	feature	feature	NOUN
cana-3827	282	29	within	within	ADP
cana-3827	282	30	narrow	narrow	ADJ
cana-3827	282	31	intervals	interval	NOUN
cana-3827	282	32	,	,	PUNCT
cana-3827	282	33	accounting	account	VERB
cana-3827	282	34	for	for	ADP
cana-3827	282	35	feature	feature	NOUN
cana-3827	282	36	interactions	interaction	NOUN
cana-3827	282	37	.	.	PUNCT
cana-3827	283	1	ale	ale	NOUN
cana-3827	283	2	plots	plot	NOUN
cana-3827	283	3	,	,	PUNCT
cana-3827	283	4	which	which	PRON
cana-3827	283	5	are	be	AUX
cana-3827	283	6	averaged	average	VERB
cana-3827	283	7	over	over	ADP
cana-3827	283	8	the	the	DET
cana-3827	283	9	feature	feature	NOUN
cana-3827	283	10	's	's	PART
cana-3827	283	11	distribution	distribution	NOUN
cana-3827	283	12	,	,	PUNCT
cana-3827	283	13	show	show	VERB
cana-3827	283	14	how	how	SCONJ
cana-3827	283	15	the	the	DET
cana-3827	283	16	predictions	prediction	NOUN
cana-3827	283	17	change	change	VERB
cana-3827	283	18	when	when	SCONJ
cana-3827	283	19	a	a	DET
cana-3827	283	20	feature	feature	NOUN
cana-3827	283	21	changes	change	NOUN
cana-3827	283	22	.	.	PUNCT
cana-3827	284	1	by	by	ADP
cana-3827	284	2	offering	offer	VERB
cana-3827	284	3	a	a	DET
cana-3827	284	4	localised	localised	ADJ
cana-3827	284	5	perspective	perspective	NOUN
cana-3827	284	6	on	on	ADP
cana-3827	284	7	feature	feature	NOUN
cana-3827	284	8	impact	impact	NOUN
cana-3827	284	9	,	,	PUNCT
cana-3827	284	10	this	this	DET
cana-3827	284	11	method	method	NOUN
cana-3827	284	12	guarantees	guarantee	VERB
cana-3827	284	13	that	that	SCONJ
cana-3827	284	14	the	the	DET
cana-3827	284	15	communications	communication	NOUN
cana-3827	284	16	on	on	ADP
cana-3827	284	17	applied	apply	VERB
cana-3827	284	18	nonlinear	nonlinear	ADJ
cana-3827	284	19	analysis	analysis	NOUN
cana-3827	284	20	issn	issn	NOUN
cana-3827	284	21	:	:	PUNCT
cana-3827	284	22	1074	1074	NUM
cana-3827	284	23	-	-	PUNCT
cana-3827	284	24	133x	133x	NUM
cana-3827	284	25	vol	vol	NOUN
cana-3827	284	26	32	32	NUM
cana-3827	284	27	no	no	NOUN
cana-3827	284	28	.	.	PUNCT
cana-3827	285	1	8s	8s	PROPN
cana-3827	285	2	(	(	PUNCT
cana-3827	285	3	2025	2025	NUM
cana-3827	285	4	)	)	PUNCT
cana-3827	285	5	858	858	NUM
cana-3827	285	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3827	285	7	analysis	analysis	NOUN
cana-3827	285	8	is	be	AUX
cana-3827	285	9	still	still	ADV
cana-3827	285	10	reliable	reliable	ADJ
cana-3827	285	11	even	even	ADV
cana-3827	285	12	in	in	ADP
cana-3827	285	13	cases	case	NOUN
cana-3827	285	14	when	when	SCONJ
cana-3827	285	15	features	feature	NOUN
cana-3827	285	16	are	be	AUX
cana-3827	285	17	not	not	PART
cana-3827	285	18	independent	independent	ADJ
cana-3827	285	19	.	.	PUNCT
cana-3827	286	1	when	when	SCONJ
cana-3827	286	2	it	it	PRON
cana-3827	286	3	comes	come	VERB
cana-3827	286	4	to	to	ADP
cana-3827	286	5	comprehending	comprehend	VERB
cana-3827	286	6	intricate	intricate	ADJ
cana-3827	286	7	,	,	PUNCT
cana-3827	286	8	nonlinear	nonlinear	ADJ
cana-3827	286	9	models	model	NOUN
cana-3827	286	10	like	like	ADP
cana-3827	286	11	random	random	ADJ
cana-3827	286	12	forests	forest	NOUN
cana-3827	286	13	or	or	CCONJ
cana-3827	286	14	neural	neural	ADJ
cana-3827	286	15	networks	network	NOUN
cana-3827	286	16	,	,	PUNCT
cana-3827	286	17	ale	ale	NOUN
cana-3827	286	18	is	be	AUX
cana-3827	286	19	particularly	particularly	ADV
cana-3827	286	20	helpful	helpful	ADJ
cana-3827	286	21	.	.	PUNCT
cana-3827	287	1	5.5	5.5	NUM
cana-3827	287	2	models	model	NOUN
cana-3827	287	3	used	use	VERB
cana-3827	287	4	for	for	ADP
cana-3827	287	5	comparison	comparison	NOUN
cana-3827	287	6	the	the	DET
cana-3827	287	7	models	model	NOUN
cana-3827	287	8	used	use	VERB
cana-3827	287	9	for	for	ADP
cana-3827	287	10	comparison	comparison	NOUN
cana-3827	287	11	with	with	ADP
cana-3827	287	12	the	the	DET
cana-3827	287	13	proposed	propose	VERB
cana-3827	287	14	study	study	NOUN
cana-3827	287	15	are	be	AUX
cana-3827	287	16	logistics	logistic	NOUN
cana-3827	287	17	regression	regression	NOUN
cana-3827	287	18	(	(	PUNCT
cana-3827	287	19	logr	logr	NOUN
cana-3827	287	20	)	)	PUNCT
cana-3827	287	21	,	,	PUNCT
cana-3827	287	22	decision	decision	NOUN
cana-3827	287	23	trees	tree	NOUN
cana-3827	287	24	(	(	PUNCT
cana-3827	287	25	dt	dt	PROPN
cana-3827	287	26	)	)	PUNCT
cana-3827	287	27	,	,	PUNCT
cana-3827	287	28	random	random	ADJ
cana-3827	287	29	forest	forest	NOUN
cana-3827	287	30	(	(	PUNCT
cana-3827	287	31	rf	rf	NOUN
cana-3827	287	32	)	)	PUNCT
cana-3827	287	33	and	and	CCONJ
cana-3827	287	34	support	support	VERB
cana-3827	287	35	vector	vector	NOUN
cana-3827	287	36	machine	machine	NOUN
cana-3827	287	37	(	(	PUNCT
cana-3827	287	38	svm	svm	PROPN
cana-3827	287	39	)	)	PUNCT
cana-3827	287	40	.	.	PUNCT
cana-3827	288	1	and	and	CCONJ
cana-3827	288	2	these	these	DET
cana-3827	288	3	models	model	NOUN
cana-3827	288	4	are	be	AUX
cana-3827	288	5	evaluated	evaluate	VERB
cana-3827	288	6	using	use	VERB
cana-3827	288	7	the	the	DET
cana-3827	288	8	metrics	metric	NOUN
cana-3827	288	9	accuracy	accuracy	NOUN
cana-3827	288	10	,	,	PUNCT
cana-3827	288	11	precision	precision	NOUN
cana-3827	288	12	,	,	PUNCT
cana-3827	288	13	recall	recall	NOUN
cana-3827	288	14	,	,	PUNCT
cana-3827	288	15	f1	f1	NOUN
cana-3827	288	16	-	-	PUNCT
cana-3827	288	17	score	score	NOUN
cana-3827	288	18	,	,	PUNCT
cana-3827	288	19	and	and	CCONJ
cana-3827	288	20	auc	auc	NOUN
cana-3827	288	21	.	.	PUNCT
cana-3827	289	1	5.5.1	5.5.1	NUM
cana-3827	289	2	logistic	logistic	ADJ
cana-3827	289	3	regression	regression	NOUN
cana-3827	289	4	a	a	DET
cana-3827	289	5	supervised	supervised	ADJ
cana-3827	289	6	learning	learning	NOUN
cana-3827	289	7	technique	technique	NOUN
cana-3827	289	8	that	that	PRON
cana-3827	289	9	forecasts	forecast	VERB
cana-3827	289	10	the	the	DET
cana-3827	289	11	result	result	NOUN
cana-3827	289	12	of	of	ADP
cana-3827	289	13	a	a	DET
cana-3827	289	14	dependent	dependent	ADJ
cana-3827	289	15	variable	variable	NOUN
cana-3827	289	16	that	that	PRON
cana-3827	289	17	is	be	AUX
cana-3827	289	18	classified	classified	ADJ
cana-3827	289	19	is	be	AUX
cana-3827	289	20	called	call	VERB
cana-3827	289	21	logistic	logistic	ADJ
cana-3827	289	22	regression	regression	NOUN
cana-3827	289	23	[	[	X
cana-3827	289	24	43	43	NUM
cana-3827	289	25	]	]	PUNCT
cana-3827	289	26	.	.	PUNCT
cana-3827	290	1	this	this	PRON
cana-3827	290	2	implies	imply	VERB
cana-3827	290	3	that	that	SCONJ
cana-3827	290	4	an	an	DET
cana-3827	290	5	independent	independent	ADJ
cana-3827	290	6	or	or	CCONJ
cana-3827	290	7	categorical	categorical	ADJ
cana-3827	290	8	value	value	NOUN
cana-3827	290	9	must	must	AUX
cana-3827	290	10	be	be	AUX
cana-3827	290	11	the	the	DET
cana-3827	290	12	outcome	outcome	NOUN
cana-3827	290	13	.	.	PUNCT
cana-3827	291	1	it	it	PRON
cana-3827	291	2	delivers	deliver	VERB
cana-3827	291	3	probabilistic	probabilistic	ADJ
cana-3827	291	4	values	value	NOUN
cana-3827	291	5	in	in	ADP
cana-3827	291	6	the	the	DET
cana-3827	291	7	0	0	NUM
cana-3827	291	8	1	1	NUM
cana-3827	291	9	range	range	NOUN
cana-3827	291	10	rather	rather	ADV
cana-3827	291	11	than	than	ADP
cana-3827	291	12	an	an	DET
cana-3827	291	13	exact	exact	ADJ
cana-3827	291	14	number	number	NOUN
cana-3827	291	15	between	between	ADP
cana-3827	291	16	0	0	NUM
cana-3827	291	17	and	and	CCONJ
cana-3827	291	18	1	1	NUM
cana-3827	291	19	.	.	X
cana-3827	292	1	it	it	PRON
cana-3827	292	2	can	can	AUX
cana-3827	292	3	be	be	AUX
cana-3827	292	4	true	true	ADJ
cana-3827	292	5	or	or	CCONJ
cana-3827	292	6	false	false	ADJ
cana-3827	292	7	,	,	PUNCT
cana-3827	292	8	yes	yes	INTJ
cana-3827	292	9	or	or	CCONJ
cana-3827	292	10	no	no	INTJ
cana-3827	292	11	,	,	PUNCT
cana-3827	292	12	0	0	NUM
cana-3827	292	13	or	or	CCONJ
cana-3827	292	14	1	1	NUM
cana-3827	292	15	,	,	PUNCT
cana-3827	292	16	etc	etc	X
cana-3827	292	17	.	.	X
cana-3827	293	1	5.5.2	5.5.2	NUM
cana-3827	293	2	decision	decision	NOUN
cana-3827	293	3	tree	tree	NOUN
cana-3827	293	4	a	a	DET
cana-3827	293	5	visual	visual	ADJ
cana-3827	293	6	depiction	depiction	NOUN
cana-3827	293	7	of	of	ADP
cana-3827	293	8	a	a	DET
cana-3827	293	9	structure	structure	NOUN
cana-3827	293	10	that	that	PRON
cana-3827	293	11	resembles	resemble	VERB
cana-3827	293	12	a	a	DET
cana-3827	293	13	flowchart	flowchart	NOUN
cana-3827	293	14	is	be	AUX
cana-3827	293	15	called	call	VERB
cana-3827	293	16	a	a	DET
cana-3827	293	17	decision	decision	NOUN
cana-3827	293	18	tree	tree	NOUN
cana-3827	293	19	[	[	X
cana-3827	293	20	29	29	NUM
cana-3827	293	21	]	]	PUNCT
cana-3827	293	22	.	.	PUNCT
cana-3827	294	1	the	the	DET
cana-3827	294	2	work	work	NOUN
cana-3827	294	3	’s	’s	PART
cana-3827	294	4	requirements	requirement	NOUN
cana-3827	294	5	are	be	AUX
cana-3827	294	6	represented	represent	VERB
cana-3827	294	7	by	by	ADP
cana-3827	294	8	the	the	DET
cana-3827	294	9	nodes	node	NOUN
cana-3827	294	10	,	,	PUNCT
cana-3827	294	11	decision	decision	NOUN
cana-3827	294	12	-	-	PUNCT
cana-3827	294	13	making	make	VERB
cana-3827	294	14	criteria	criterion	NOUN
cana-3827	294	15	are	be	AUX
cana-3827	294	16	shown	show	VERB
cana-3827	294	17	by	by	ADP
cana-3827	294	18	the	the	DET
cana-3827	294	19	branches	branch	NOUN
cana-3827	294	20	,	,	PUNCT
cana-3827	294	21	and	and	CCONJ
cana-3827	294	22	the	the	DET
cana-3827	294	23	task	task	NOUN
cana-3827	294	24	's	's	PART
cana-3827	294	25	outcome	outcome	NOUN
cana-3827	294	26	is	be	AUX
cana-3827	294	27	the	the	DET
cana-3827	294	28	final	final	ADJ
cana-3827	294	29	node	node	NOUN
cana-3827	294	30	.	.	PUNCT
cana-3827	295	1	the	the	DET
cana-3827	295	2	initial	initial	ADJ
cana-3827	295	3	element	element	NOUN
cana-3827	295	4	in	in	ADP
cana-3827	295	5	the	the	DET
cana-3827	295	6	series	series	NOUN
cana-3827	295	7	represents	represent	VERB
cana-3827	295	8	the	the	DET
cana-3827	295	9	tree	tree	NOUN
cana-3827	295	10	's	's	PART
cana-3827	295	11	root	root	NOUN
cana-3827	295	12	node	node	NOUN
cana-3827	295	13	.	.	PUNCT
cana-3827	296	1	the	the	DET
cana-3827	296	2	contents	content	NOUN
cana-3827	296	3	of	of	ADP
cana-3827	296	4	each	each	DET
cana-3827	296	5	property	property	NOUN
cana-3827	296	6	are	be	AUX
cana-3827	296	7	used	use	VERB
cana-3827	296	8	by	by	ADP
cana-3827	296	9	the	the	DET
cana-3827	296	10	roots	root	NOUN
cana-3827	296	11	node	node	VERB
cana-3827	296	12	to	to	PART
cana-3827	296	13	determine	determine	VERB
cana-3827	296	14	how	how	SCONJ
cana-3827	296	15	to	to	PART
cana-3827	296	16	split	split	VERB
cana-3827	296	17	the	the	DET
cana-3827	296	18	tree	tree	NOUN
cana-3827	296	19	into	into	ADP
cana-3827	296	20	pieces	piece	NOUN
cana-3827	296	21	.	.	PUNCT
cana-3827	297	1	this	this	DET
cana-3827	297	2	iterative	iterative	NOUN
cana-3827	297	3	structure	structure	NOUN
cana-3827	297	4	further	far	ADV
cana-3827	297	5	splits	split	VERB
cana-3827	297	6	the	the	DET
cana-3827	297	7	tree	tree	NOUN
cana-3827	297	8	into	into	ADP
cana-3827	297	9	multiple	multiple	ADJ
cana-3827	297	10	branches	branch	NOUN
cana-3827	297	11	.	.	PUNCT
cana-3827	298	1	5.5.3	5.5.3	PRON
cana-3827	298	2	support	support	VERB
cana-3827	298	3	vector	vector	NOUN
cana-3827	298	4	machine	machine	NOUN
cana-3827	298	5	for	for	ADP
cana-3827	298	6	classification	classification	NOUN
cana-3827	298	7	task	task	NOUN
cana-3827	298	8	,	,	PUNCT
cana-3827	298	9	support	support	NOUN
cana-3827	298	10	vector	vector	NOUN
cana-3827	298	11	machines	machine	NOUN
cana-3827	298	12	(	(	PUNCT
cana-3827	298	13	svm	svm	PROPN
cana-3827	298	14	)	)	PUNCT
cana-3827	298	15	[	[	X
cana-3827	298	16	29	29	NUM
cana-3827	298	17	]	]	PUNCT
cana-3827	298	18	identify	identify	VERB
cana-3827	298	19	the	the	DET
cana-3827	298	20	appropriate	appropriate	ADJ
cana-3827	298	21	hyperplane	hyperplane	NOUN
cana-3827	298	22	for	for	ADP
cana-3827	298	23	dividing	divide	VERB
cana-3827	298	24	data	datum	NOUN
cana-3827	298	25	into	into	ADP
cana-3827	298	26	discrete	discrete	ADJ
cana-3827	298	27	classes	class	NOUN
cana-3827	298	28	.	.	PUNCT
cana-3827	299	1	method	method	NOUN
cana-3827	299	2	that	that	PRON
cana-3827	299	3	helps	help	VERB
cana-3827	299	4	to	to	PART
cana-3827	299	5	categorise	categorise	VERB
cana-3827	299	6	many	many	ADJ
cana-3827	299	7	types	type	NOUN
cana-3827	299	8	of	of	ADP
cana-3827	299	9	data	datum	NOUN
cana-3827	299	10	.	.	PUNCT
cana-3827	300	1	it	it	PRON
cana-3827	300	2	works	work	VERB
cana-3827	300	3	especially	especially	ADV
cana-3827	300	4	well	well	ADV
cana-3827	300	5	when	when	SCONJ
cana-3827	300	6	the	the	DET
cana-3827	300	7	data	datum	NOUN
cana-3827	300	8	can	can	AUX
cana-3827	300	9	not	not	PART
cana-3827	300	10	be	be	AUX
cana-3827	300	11	separated	separate	VERB
cana-3827	300	12	linearly	linearly	ADV
cana-3827	300	13	or	or	CCONJ
cana-3827	300	14	when	when	SCONJ
cana-3827	300	15	you	you	PRON
cana-3827	300	16	need	need	VERB
cana-3827	300	17	to	to	PART
cana-3827	300	18	develop	develop	VERB
cana-3827	300	19	a	a	DET
cana-3827	300	20	strong	strong	ADJ
cana-3827	300	21	decision	decision	NOUN
cana-3827	300	22	boundary	boundary	NOUN
cana-3827	300	23	that	that	PRON
cana-3827	300	24	adapts	adapt	VERB
cana-3827	300	25	effectively	effectively	ADV
cana-3827	300	26	to	to	ADP
cana-3827	300	27	new	new	ADJ
cana-3827	300	28	,	,	PUNCT
cana-3827	300	29	untested	untested	ADJ
cana-3827	300	30	data	datum	NOUN
cana-3827	300	31	.	.	PUNCT
cana-3827	301	1	5.6	5.6	NUM
cana-3827	301	2	model	model	NOUN
cana-3827	301	3	evaluation	evaluation	NOUN
cana-3827	301	4	the	the	DET
cana-3827	301	5	performance	performance	NOUN
cana-3827	301	6	of	of	ADP
cana-3827	301	7	the	the	DET
cana-3827	301	8	suggested	suggest	VERB
cana-3827	301	9	framework	framework	NOUN
cana-3827	301	10	is	be	AUX
cana-3827	301	11	evaluated	evaluate	VERB
cana-3827	301	12	using	use	VERB
cana-3827	301	13	the	the	DET
cana-3827	301	14	metrics	metric	NOUN
cana-3827	301	15	—	—	PUNCT
cana-3827	301	16	accuracy	accuracy	NOUN
cana-3827	301	17	,	,	PUNCT
cana-3827	301	18	precision	precision	NOUN
cana-3827	301	19	,	,	PUNCT
cana-3827	301	20	recall	recall	NOUN
cana-3827	301	21	,	,	PUNCT
cana-3827	301	22	f1	f1	NOUN
cana-3827	301	23	-	-	PUNCT
cana-3827	301	24	score	score	NOUN
cana-3827	301	25	,	,	PUNCT
cana-3827	301	26	and	and	CCONJ
cana-3827	301	27	auc	auc	NOUN
cana-3827	301	28	value	value	NOUN
cana-3827	301	29	—	—	PUNCT
cana-3827	301	30	that	that	PRON
cana-3827	301	31	have	have	AUX
cana-3827	301	32	been	be	AUX
cana-3827	301	33	found	find	VERB
cana-3827	301	34	to	to	PART
cana-3827	301	35	be	be	AUX
cana-3827	301	36	the	the	DET
cana-3827	301	37	most	most	ADV
cana-3827	301	38	frequently	frequently	ADV
cana-3827	301	39	used	use	VERB
cana-3827	301	40	metrics	metric	NOUN
cana-3827	301	41	for	for	ADP
cana-3827	301	42	classification	classification	NOUN
cana-3827	301	43	tasks	task	NOUN
cana-3827	301	44	.	.	PUNCT
cana-3827	302	1	all	all	DET
cana-3827	302	2	these	these	DET
cana-3827	302	3	measurements	measurement	NOUN
cana-3827	302	4	are	be	AUX
cana-3827	302	5	good	good	ADJ
cana-3827	302	6	indicators	indicator	NOUN
cana-3827	302	7	.	.	PUNCT
cana-3827	303	1	so	so	ADV
cana-3827	303	2	,	,	PUNCT
cana-3827	303	3	it	it	PRON
cana-3827	303	4	stands	stand	VERB
cana-3827	303	5	to	to	PART
cana-3827	303	6	reason	reason	NOUN
cana-3827	303	7	that	that	SCONJ
cana-3827	303	8	the	the	DET
cana-3827	303	9	models	model	NOUN
cana-3827	303	10	will	will	AUX
cana-3827	303	11	function	function	VERB
cana-3827	303	12	more	more	ADV
cana-3827	303	13	effectively	effectively	ADV
cana-3827	303	14	with	with	ADP
cana-3827	303	15	a	a	DET
cana-3827	303	16	higher	high	ADJ
cana-3827	303	17	value	value	NOUN
cana-3827	303	18	.	.	PUNCT
cana-3827	304	1	the	the	DET
cana-3827	304	2	precision	precision	NOUN
cana-3827	304	3	and	and	CCONJ
cana-3827	304	4	recall	recall	NOUN
cana-3827	304	5	of	of	ADP
cana-3827	304	6	a	a	DET
cana-3827	304	7	perfect	perfect	ADJ
cana-3827	304	8	classifier	classifier	NOUN
cana-3827	304	9	are	be	AUX
cana-3827	304	10	both	both	ADV
cana-3827	304	11	equal	equal	ADJ
cana-3827	304	12	to	to	ADP
cana-3827	304	13	one	one	NUM
cana-3827	304	14	.	.	PUNCT
cana-3827	305	1	accuracy	accuracy	NOUN
cana-3827	305	2	is	be	AUX
cana-3827	305	3	calculated	calculate	VERB
cana-3827	305	4	using	use	VERB
cana-3827	305	5	the	the	DET
cana-3827	305	6	formula	formula	NOUN
cana-3827	305	7	in	in	ADP
cana-3827	305	8	equation	equation	NOUN
cana-3827	305	9	(	(	PUNCT
cana-3827	305	10	5	5	NUM
cana-3827	305	11	)	)	PUNCT
cana-3827	305	12	and	and	CCONJ
cana-3827	305	13	represents	represent	VERB
cana-3827	305	14	the	the	DET
cana-3827	305	15	ratio	ratio	NOUN
cana-3827	305	16	of	of	ADP
cana-3827	305	17	accurately	accurately	ADV
cana-3827	305	18	anticipated	anticipate	VERB
cana-3827	305	19	occurrences	occurrence	NOUN
cana-3827	305	20	to	to	ADP
cana-3827	305	21	all	all	DET
cana-3827	305	22	observed	observed	ADJ
cana-3827	305	23	data	datum	NOUN
cana-3827	305	24	.	.	PUNCT
cana-3827	306	1	the	the	DET
cana-3827	306	2	proportion	proportion	NOUN
cana-3827	306	3	of	of	ADP
cana-3827	306	4	observations	observation	NOUN
cana-3827	306	5	among	among	ADP
cana-3827	306	6	all	all	DET
cana-3827	306	7	retrieved	retrieve	VERB
cana-3827	306	8	observations	observation	NOUN
cana-3827	306	9	is	be	AUX
cana-3827	306	10	referred	refer	VERB
cana-3827	306	11	to	to	ADP
cana-3827	306	12	as	as	ADP
cana-3827	306	13	precision	precision	NOUN
cana-3827	306	14	.	.	PUNCT
cana-3827	307	1	it	it	PRON
cana-3827	307	2	is	be	AUX
cana-3827	307	3	mathematically	mathematically	ADV
cana-3827	307	4	represented	represent	VERB
cana-3827	307	5	in	in	ADP
cana-3827	307	6	equation	equation	NOUN
cana-3827	307	7	(	(	PUNCT
cana-3827	307	8	6	6	NUM
cana-3827	307	9	)	)	PUNCT
cana-3827	307	10	.	.	PUNCT
cana-3827	308	1	recall	recall	PROPN
cana-3827	308	2	is	be	AUX
cana-3827	308	3	the	the	DET
cana-3827	308	4	fraction	fraction	NOUN
cana-3827	308	5	of	of	ADP
cana-3827	308	6	actual	actual	ADJ
cana-3827	308	7	positive	positive	ADJ
cana-3827	308	8	instances	instance	NOUN
cana-3827	308	9	that	that	PRON
cana-3827	308	10	were	be	AUX
cana-3827	308	11	appropriately	appropriately	ADV
cana-3827	308	12	identified	identify	VERB
cana-3827	308	13	by	by	ADP
cana-3827	308	14	the	the	DET
cana-3827	308	15	model	model	NOUN
cana-3827	308	16	.	.	PUNCT
cana-3827	309	1	it	it	PRON
cana-3827	309	2	is	be	AUX
cana-3827	309	3	mathematically	mathematically	ADV
cana-3827	309	4	represented	represent	VERB
cana-3827	309	5	in	in	ADP
cana-3827	309	6	equation	equation	NOUN
cana-3827	309	7	(	(	PUNCT
cana-3827	309	8	7	7	NUM
cana-3827	309	9	)	)	PUNCT
cana-3827	309	10	.	.	PUNCT
cana-3827	310	1	the	the	DET
cana-3827	310	2	harmonic	harmonic	ADJ
cana-3827	310	3	mean	mean	NOUN
cana-3827	310	4	of	of	ADP
cana-3827	310	5	precision	precision	NOUN
cana-3827	310	6	,	,	PUNCT
cana-3827	310	7	recall	recall	NOUN
cana-3827	310	8	,	,	PUNCT
cana-3827	310	9	and	and	CCONJ
cana-3827	310	10	f1	f1	NOUN
cana-3827	310	11	-	-	PUNCT
cana-3827	310	12	score	score	NOUN
cana-3827	310	13	can	can	AUX
cana-3827	310	14	be	be	AUX
cana-3827	310	15	computed	compute	VERB
cana-3827	310	16	using	use	VERB
cana-3827	310	17	equation	equation	NOUN
cana-3827	310	18	(	(	PUNCT
cana-3827	310	19	8)	8)	NUM
cana-3827	310	20	[	[	X
cana-3827	310	21	44	44	NUM
cana-3827	310	22	]	]	PUNCT
cana-3827	310	23	.	.	PUNCT
cana-3827	311	1	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	PROPN
cana-3827	311	2	=	=	X
cana-3827	311	3	𝑇𝑃+𝑇𝑁	𝑇𝑃+𝑇𝑁	ADJ
cana-3827	311	4	𝑇𝑃+𝑇𝑁+𝐹𝑃+𝐹𝑁	𝑇𝑃+𝑇𝑁+𝐹𝑃+𝐹𝑁	PUNCT
cana-3827	311	5	(	(	PUNCT
cana-3827	311	6	5	5	X
cana-3827	311	7	)	)	PUNCT
cana-3827	311	8	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
cana-3827	311	9	=	=	SYM
cana-3827	311	10	𝑁𝑢𝑚𝑏𝑒𝑟	𝑁𝑢𝑚𝑏𝑒𝑟	PROPN
cana-3827	311	11	𝑜𝑓	𝑜𝑓	ADP
cana-3827	311	12	𝑟𝑒𝑡𝑟𝑖𝑒𝑣𝑒𝑑	𝑟𝑒𝑡𝑟𝑖𝑒𝑣𝑒𝑑	PROPN
cana-3827	311	13	𝑎𝑛𝑑	𝑎𝑛𝑑	PROPN
cana-3827	311	14	𝑟𝑒𝑙𝑒𝑣𝑎𝑛𝑡	𝑟𝑒𝑙𝑒𝑣𝑎𝑛𝑡	VERB
cana-3827	311	15	𝑜𝑏𝑠𝑒𝑟𝑣𝑎𝑡𝑖𝑜𝑛𝑠	𝑜𝑏𝑠𝑒𝑟𝑣𝑎𝑡𝑖𝑜𝑛𝑠	VERB
cana-3827	312	1	𝑇𝑜𝑡𝑎𝑙	𝑇𝑜𝑡𝑎𝑙	PROPN
cana-3827	312	2	𝑟𝑒𝑡𝑟𝑖𝑒𝑣𝑒𝑑	𝑟𝑒𝑡𝑟𝑖𝑒𝑣𝑒𝑑	PROPN
cana-3827	312	3	𝑜𝑏𝑠𝑒𝑟𝑣𝑎𝑡𝑖𝑜𝑛𝑠	𝑜𝑏𝑠𝑒𝑟𝑣𝑎𝑡𝑖𝑜𝑛𝑠	VERB
cana-3827	312	4	=	=	NOUN
cana-3827	312	5	𝑇𝑃	𝑇𝑃	PROPN
cana-3827	312	6	𝑇𝑃+𝐹𝑃	𝑇𝑃+𝐹𝑃	NUM
cana-3827	312	7	(	(	PUNCT
cana-3827	312	8	6	6	NUM
cana-3827	312	9	)	)	PUNCT
cana-3827	312	10	communications	communication	NOUN
cana-3827	312	11	on	on	ADP
cana-3827	312	12	applied	apply	VERB
cana-3827	312	13	nonlinear	nonlinear	ADJ
cana-3827	312	14	analysis	analysis	NOUN
cana-3827	312	15	issn	issn	NOUN
cana-3827	312	16	:	:	PUNCT
cana-3827	312	17	1074	1074	NUM
cana-3827	312	18	-	-	PUNCT
cana-3827	312	19	133x	133x	NUM
cana-3827	312	20	vol	vol	NOUN
cana-3827	312	21	32	32	NUM
cana-3827	312	22	no	no	NOUN
cana-3827	312	23	.	.	PUNCT
cana-3827	313	1	8s	8s	PROPN
cana-3827	313	2	(	(	PUNCT
cana-3827	313	3	2025	2025	NUM
cana-3827	313	4	)	)	PUNCT
cana-3827	313	5	859	859	NUM
cana-3827	314	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3827	314	2	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
cana-3827	314	3	=	=	SYM
cana-3827	314	4	𝑁𝑢𝑚𝑏𝑒𝑟	𝑁𝑢𝑚𝑏𝑒𝑟	PROPN
cana-3827	314	5	𝑜𝑓	𝑜𝑓	ADP
cana-3827	314	6	𝑟𝑒𝑡𝑟𝑖𝑒𝑣𝑒𝑑	𝑟𝑒𝑡𝑟𝑖𝑒𝑣𝑒𝑑	PROPN
cana-3827	314	7	𝑎𝑛𝑑	𝑎𝑛𝑑	PROPN
cana-3827	314	8	𝑟𝑒𝑙𝑒𝑣𝑎𝑛𝑡	𝑟𝑒𝑙𝑒𝑣𝑎𝑛𝑡	VERB
cana-3827	314	9	𝑜𝑏𝑠𝑒𝑟𝑣𝑎𝑡𝑖𝑜𝑛𝑠	𝑜𝑏𝑠𝑒𝑟𝑣𝑎𝑡𝑖𝑜𝑛𝑠	VERB
cana-3827	314	10	𝑇𝑜𝑡𝑎𝑙	𝑇𝑜𝑡𝑎𝑙	PROPN
cana-3827	314	11	𝑟𝑒𝑙𝑒𝑣𝑎𝑛𝑡	𝑟𝑒𝑙𝑒𝑣𝑎𝑛𝑡	VERB
cana-3827	314	12	𝑜𝑏𝑠𝑒𝑟𝑣𝑎𝑡𝑖𝑜𝑛𝑠	𝑜𝑏𝑠𝑒𝑟𝑣𝑎𝑡𝑖𝑜𝑛𝑠	NOUN
cana-3827	314	13	=	=	X
cana-3827	314	14	𝑇𝑃	𝑇𝑃	NOUN
cana-3827	314	15	𝑇𝑃+𝐹𝑁	𝑇𝑃+𝐹𝑁	NOUN
cana-3827	314	16	(	(	PUNCT
cana-3827	314	17	7	7	NUM
cana-3827	314	18	)	)	PUNCT
cana-3827	314	19	𝐹1	𝐹1	PROPN
cana-3827	314	20	𝑆𝑐𝑜𝑟𝑒	𝑆𝑐𝑜𝑟𝑒	PROPN
cana-3827	314	21	=	=	SYM
cana-3827	314	22	2	2	NUM
cana-3827	314	23	∗	∗	NOUN
cana-3827	314	24	(	(	PUNCT
cana-3827	314	25	𝑟𝑒𝑐𝑎𝑙𝑙	𝑟𝑒𝑐𝑎𝑙𝑙	NOUN
cana-3827	314	26	∗	∗	NOUN
cana-3827	314	27	𝑝𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑝𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	NOUN
cana-3827	314	28	)	)	PUNCT
cana-3827	314	29	(	(	PUNCT
cana-3827	314	30	𝑟𝑒𝑐𝑎𝑙𝑙+	𝑟𝑒𝑐𝑎𝑙𝑙+	X
cana-3827	314	31	𝑝𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑝𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	NOUN
cana-3827	314	32	)	)	PUNCT
cana-3827	314	33	(	(	PUNCT
cana-3827	314	34	8)	8)	NUM
cana-3827	314	35	true	true	ADJ
cana-3827	314	36	positive	positive	ADJ
cana-3827	314	37	(	(	PUNCT
cana-3827	314	38	tp	tp	NOUN
cana-3827	314	39	)	)	PUNCT
cana-3827	314	40	represents	represent	VERB
cana-3827	314	41	the	the	DET
cana-3827	314	42	count	count	NOUN
cana-3827	314	43	of	of	ADP
cana-3827	314	44	relevant	relevant	ADJ
cana-3827	314	45	observations	observation	NOUN
cana-3827	314	46	accurately	accurately	ADV
cana-3827	314	47	identified	identify	VERB
cana-3827	314	48	by	by	ADP
cana-3827	314	49	the	the	DET
cana-3827	314	50	model	model	NOUN
cana-3827	314	51	,	,	PUNCT
cana-3827	314	52	as	as	SCONJ
cana-3827	314	53	described	describe	VERB
cana-3827	314	54	in	in	ADP
cana-3827	314	55	equations	equation	NOUN
cana-3827	314	56	(	(	PUNCT
cana-3827	314	57	5	5	NUM
cana-3827	314	58	)	)	PUNCT
cana-3827	314	59	to	to	ADP
cana-3827	314	60	(	(	PUNCT
cana-3827	314	61	8)	8)	NUM
cana-3827	314	62	.	.	PUNCT
cana-3827	315	1	the	the	DET
cana-3827	315	2	number	number	NOUN
cana-3827	315	3	of	of	ADP
cana-3827	315	4	irrelevant	irrelevant	ADJ
cana-3827	315	5	observations	observation	NOUN
cana-3827	315	6	that	that	PRON
cana-3827	315	7	the	the	DET
cana-3827	315	8	model	model	NOUN
cana-3827	315	9	mistakenly	mistakenly	ADV
cana-3827	315	10	labels	label	VERB
cana-3827	315	11	as	as	ADP
cana-3827	315	12	relevant	relevant	ADJ
cana-3827	315	13	is	be	AUX
cana-3827	315	14	indicated	indicate	VERB
cana-3827	315	15	by	by	ADP
cana-3827	315	16	the	the	DET
cana-3827	315	17	term	term	NOUN
cana-3827	315	18	"	"	PUNCT
cana-3827	315	19	false	false	ADJ
cana-3827	315	20	positive	positive	ADJ
cana-3827	315	21	"	"	PUNCT
cana-3827	315	22	(	(	PUNCT
cana-3827	315	23	fp	fp	NOUN
cana-3827	315	24	)	)	PUNCT
cana-3827	315	25	.	.	PUNCT
cana-3827	316	1	the	the	DET
cana-3827	316	2	amount	amount	NOUN
cana-3827	316	3	of	of	ADP
cana-3827	316	4	relevant	relevant	ADJ
cana-3827	316	5	data	datum	NOUN
cana-3827	316	6	that	that	PRON
cana-3827	316	7	the	the	DET
cana-3827	316	8	model	model	NOUN
cana-3827	316	9	mistakenly	mistakenly	ADV
cana-3827	316	10	classified	classify	VERB
cana-3827	316	11	as	as	ADP
cana-3827	316	12	irrelevant	irrelevant	ADJ
cana-3827	316	13	is	be	AUX
cana-3827	316	14	known	know	VERB
cana-3827	316	15	as	as	ADP
cana-3827	316	16	a	a	DET
cana-3827	316	17	false	false	ADJ
cana-3827	316	18	negative	negative	ADJ
cana-3827	316	19	,	,	PUNCT
cana-3827	316	20	or	or	CCONJ
cana-3827	316	21	fn	fn	NOUN
cana-3827	316	22	.	.	PUNCT
cana-3827	317	1	the	the	DET
cana-3827	317	2	area	area	NOUN
cana-3827	317	3	will	will	AUX
cana-3827	317	4	be	be	AUX
cana-3827	317	5	between	between	ADP
cana-3827	317	6	0	0	NUM
cana-3827	317	7	and	and	CCONJ
cana-3827	317	8	1	1	NUM
cana-3827	317	9	always	always	ADV
cana-3827	317	10	,	,	PUNCT
cana-3827	317	11	considering	consider	VERB
cana-3827	317	12	that	that	SCONJ
cana-3827	317	13	both	both	DET
cana-3827	317	14	tpr	tpr	NOUN
cana-3827	317	15	and	and	CCONJ
cana-3827	317	16	fpr	fpr	NOUN
cana-3827	317	17	have	have	VERB
cana-3827	317	18	a	a	DET
cana-3827	317	19	range	range	NOUN
cana-3827	317	20	of	of	ADP
cana-3827	317	21	0	0	NUM
cana-3827	317	22	to	to	PART
cana-3827	317	23	1	1	NUM
cana-3827	317	24	.	.	PUNCT
cana-3827	318	1	better	well	ADJ
cana-3827	318	2	model	model	NOUN
cana-3827	318	3	performance	performance	NOUN
cana-3827	318	4	is	be	AUX
cana-3827	318	5	indicated	indicate	VERB
cana-3827	318	6	by	by	ADP
cana-3827	318	7	a	a	DET
cana-3827	318	8	higher	high	ADJ
cana-3827	318	9	auc	auc	NOUN
cana-3827	318	10	value	value	NOUN
cana-3827	318	11	.	.	PUNCT
cana-3827	319	1	the	the	DET
cana-3827	319	2	area	area	NOUN
cana-3827	319	3	beneath	beneath	ADP
cana-3827	319	4	the	the	DET
cana-3827	319	5	roc	roc	PROPN
cana-3827	319	6	curve	curve	NOUN
cana-3827	319	7	is	be	AUX
cana-3827	319	8	known	know	VERB
cana-3827	319	9	as	as	ADP
cana-3827	319	10	the	the	DET
cana-3827	319	11	"	"	PUNCT
cana-3827	319	12	area	area	NOUN
cana-3827	319	13	under	under	ADP
cana-3827	319	14	the	the	DET
cana-3827	319	15	curve	curve	NOUN
cana-3827	319	16	"	"	PUNCT
cana-3827	319	17	(	(	PUNCT
cana-3827	319	18	auc	auc	NOUN
cana-3827	319	19	)	)	PUNCT
cana-3827	319	20	.	.	PUNCT
cana-3827	320	1	the	the	DET
cana-3827	320	2	auc	auc	NOUN
cana-3827	320	3	value	value	NOUN
cana-3827	320	4	serves	serve	VERB
cana-3827	320	5	as	as	ADP
cana-3827	320	6	a	a	DET
cana-3827	320	7	valuable	valuable	ADJ
cana-3827	320	8	metric	metric	NOUN
cana-3827	320	9	for	for	ADP
cana-3827	320	10	assessing	assess	VERB
cana-3827	320	11	the	the	DET
cana-3827	320	12	performance	performance	NOUN
cana-3827	320	13	of	of	ADP
cana-3827	320	14	classification	classification	NOUN
cana-3827	320	15	models	model	NOUN
cana-3827	320	16	,	,	PUNCT
cana-3827	320	17	indicating	indicate	VERB
cana-3827	320	18	the	the	DET
cana-3827	320	19	model	model	NOUN
cana-3827	320	20	's	's	PART
cana-3827	320	21	ability	ability	NOUN
cana-3827	320	22	to	to	PART
cana-3827	320	23	distinguish	distinguish	VERB
cana-3827	320	24	between	between	ADP
cana-3827	320	25	positive	positive	ADJ
cana-3827	320	26	and	and	CCONJ
cana-3827	320	27	negative	negative	ADJ
cana-3827	320	28	classes	class	NOUN
cana-3827	320	29	across	across	ADP
cana-3827	320	30	different	different	ADJ
cana-3827	320	31	thresholds	threshold	NOUN
cana-3827	320	32	.	.	PUNCT
cana-3827	321	1	from	from	ADP
cana-3827	321	2	the	the	DET
cana-3827	321	3	receiver	receiver	ADJ
cana-3827	321	4	operator	operator	NOUN
cana-3827	321	5	characteristic	characteristic	ADJ
cana-3827	321	6	(	(	PUNCT
cana-3827	321	7	roc	roc	NOUN
cana-3827	321	8	)	)	PUNCT
cana-3827	321	9	curves	curve	NOUN
cana-3827	321	10	,	,	PUNCT
cana-3827	321	11	the	the	DET
cana-3827	321	12	auc	auc	NOUN
cana-3827	321	13	value	value	NOUN
cana-3827	321	14	may	may	AUX
cana-3827	321	15	be	be	AUX
cana-3827	321	16	calculated	calculate	VERB
cana-3827	321	17	.	.	PUNCT
cana-3827	322	1	the	the	DET
cana-3827	322	2	fluctuation	fluctuation	NOUN
cana-3827	322	3	in	in	ADP
cana-3827	322	4	false	false	ADJ
cana-3827	322	5	positive	positive	ADJ
cana-3827	322	6	and	and	CCONJ
cana-3827	322	7	true	true	ADJ
cana-3827	322	8	positive	positive	ADJ
cana-3827	322	9	rates	rate	NOUN
cana-3827	322	10	is	be	AUX
cana-3827	322	11	depicted	depict	VERB
cana-3827	322	12	by	by	ADP
cana-3827	322	13	the	the	DET
cana-3827	322	14	roc	roc	PROPN
cana-3827	322	15	curve	curve	NOUN
cana-3827	322	16	.	.	PUNCT
cana-3827	323	1	typically	typically	ADV
cana-3827	323	2	,	,	PUNCT
cana-3827	323	3	auc	auc	ADJ
cana-3827	323	4	values	value	NOUN
cana-3827	323	5	fall	fall	VERB
cana-3827	323	6	between	between	ADP
cana-3827	323	7	0.5	0.5	NUM
cana-3827	323	8	and	and	CCONJ
cana-3827	323	9	1	1	NUM
cana-3827	323	10	,	,	PUNCT
cana-3827	323	11	with	with	ADP
cana-3827	323	12	1	1	NUM
cana-3827	323	13	indicating	indicate	VERB
cana-3827	323	14	that	that	SCONJ
cana-3827	323	15	the	the	DET
cana-3827	323	16	generated	generate	VERB
cana-3827	323	17	model	model	NOUN
cana-3827	323	18	is	be	AUX
cana-3827	323	19	the	the	DET
cana-3827	323	20	best	good	ADJ
cana-3827	323	21	possible	possible	ADJ
cana-3827	323	22	classifier	classifier	NOUN
cana-3827	323	23	.	.	PUNCT
cana-3827	324	1	5.7	5.7	NUM
cana-3827	324	2	parameter	parameter	NOUN
cana-3827	324	3	settings	setting	NOUN
cana-3827	324	4	of	of	ADP
cana-3827	324	5	the	the	DET
cana-3827	324	6	model	model	NOUN
cana-3827	324	7	the	the	DET
cana-3827	324	8	effectiveness	effectiveness	NOUN
cana-3827	324	9	of	of	ADP
cana-3827	324	10	the	the	DET
cana-3827	324	11	suggested	suggested	ADJ
cana-3827	324	12	model	model	NOUN
cana-3827	324	13	,	,	PUNCT
cana-3827	324	14	random	random	ADJ
cana-3827	324	15	forest	forest	NOUN
cana-3827	324	16	with	with	ADP
cana-3827	324	17	pca	pca	PROPN
cana-3827	324	18	,	,	PUNCT
cana-3827	324	19	is	be	AUX
cana-3827	324	20	compared	compare	VERB
cana-3827	324	21	with	with	ADP
cana-3827	324	22	benchmark	benchmark	NOUN
cana-3827	324	23	models	model	NOUN
cana-3827	324	24	,	,	PUNCT
cana-3827	324	25	logistics	logistic	NOUN
cana-3827	324	26	regression	regression	NOUN
cana-3827	324	27	(	(	PUNCT
cana-3827	324	28	logr	logr	NOUN
cana-3827	324	29	)	)	PUNCT
cana-3827	324	30	,	,	PUNCT
cana-3827	324	31	decision	decision	NOUN
cana-3827	324	32	trees	tree	NOUN
cana-3827	324	33	(	(	PUNCT
cana-3827	324	34	dt	dt	PROPN
cana-3827	324	35	)	)	PUNCT
cana-3827	324	36	,	,	PUNCT
cana-3827	324	37	random	random	ADJ
cana-3827	324	38	forest	forest	NOUN
cana-3827	324	39	(	(	PUNCT
cana-3827	324	40	rf	rf	NOUN
cana-3827	324	41	)	)	PUNCT
cana-3827	324	42	,	,	PUNCT
cana-3827	324	43	and	and	CCONJ
cana-3827	324	44	support	support	VERB
cana-3827	324	45	vector	vector	NOUN
cana-3827	324	46	machine	machine	NOUN
cana-3827	324	47	(	(	PUNCT
cana-3827	324	48	svm	svm	PROPN
cana-3827	324	49	)	)	PUNCT
cana-3827	324	50	.	.	PUNCT
cana-3827	325	1	support	support	NOUN
cana-3827	325	2	vector	vector	NOUN
cana-3827	325	3	machine	machine	NOUN
cana-3827	325	4	algorithms	algorithm	NOUN
cana-3827	325	5	perform	perform	VERB
cana-3827	325	6	well	well	ADV
cana-3827	325	7	with	with	ADP
cana-3827	325	8	both	both	CCONJ
cana-3827	325	9	highand	highand	ADJ
cana-3827	325	10	lowdimensional	lowdimensional	ADJ
cana-3827	325	11	datasets	dataset	NOUN
cana-3827	325	12	because	because	SCONJ
cana-3827	325	13	of	of	ADP
cana-3827	325	14	the	the	DET
cana-3827	325	15	kernel	kernel	PROPN
cana-3827	325	16	function	function	PROPN
cana-3827	325	17	.	.	PUNCT
cana-3827	326	1	the	the	DET
cana-3827	326	2	various	various	ADJ
cana-3827	326	3	parameters	parameter	NOUN
cana-3827	326	4	of	of	ADP
cana-3827	326	5	the	the	DET
cana-3827	326	6	decision	decision	NOUN
cana-3827	326	7	tree	tree	NOUN
cana-3827	326	8	are	be	AUX
cana-3827	326	9	carefully	carefully	ADV
cana-3827	326	10	adjusted	adjust	VERB
cana-3827	326	11	in	in	ADP
cana-3827	326	12	order	order	NOUN
cana-3827	326	13	to	to	PART
cana-3827	326	14	have	have	AUX
cana-3827	326	15	a	a	DET
cana-3827	326	16	robust	robust	ADJ
cana-3827	326	17	decision	decision	NOUN
cana-3827	326	18	tree	tree	NOUN
cana-3827	326	19	with	with	ADP
cana-3827	326	20	good	good	ADJ
cana-3827	326	21	performance	performance	NOUN
cana-3827	326	22	.	.	PUNCT
cana-3827	327	1	a	a	DET
cana-3827	327	2	random	random	ADJ
cana-3827	327	3	forest	forest	NOUN
cana-3827	327	4	is	be	AUX
cana-3827	327	5	a	a	DET
cana-3827	327	6	meta	meta	ADJ
cana-3827	327	7	-	-	PUNCT
cana-3827	327	8	learner	learner	NOUN
cana-3827	327	9	that	that	PRON
cana-3827	327	10	uses	use	VERB
cana-3827	327	11	averaging	average	VERB
cana-3827	327	12	to	to	PART
cana-3827	327	13	fit	fit	VERB
cana-3827	327	14	numerous	numerous	ADJ
cana-3827	327	15	decision	decision	NOUN
cana-3827	327	16	trees	tree	NOUN
cana-3827	327	17	to	to	ADP
cana-3827	327	18	various	various	ADJ
cana-3827	327	19	dataset	dataset	VERB
cana-3827	327	20	sub	sub	NOUN
cana-3827	327	21	-	-	NOUN
cana-3827	327	22	samples	sample	NOUN
cana-3827	327	23	,	,	PUNCT
cana-3827	327	24	improving	improve	VERB
cana-3827	327	25	prediction	prediction	NOUN
cana-3827	327	26	accuracy	accuracy	NOUN
cana-3827	327	27	and	and	CCONJ
cana-3827	327	28	lowering	lower	VERB
cana-3827	327	29	overfitting	overfitte	VERB
cana-3827	327	30	[	[	X
cana-3827	327	31	40	40	NUM
cana-3827	327	32	]	]	PUNCT
cana-3827	327	33	.	.	PUNCT
cana-3827	328	1	table	table	NOUN
cana-3827	328	2	5	5	NUM
cana-3827	328	3	displays	display	VERB
cana-3827	328	4	the	the	DET
cana-3827	328	5	parameter	parameter	NOUN
cana-3827	328	6	settings	setting	NOUN
cana-3827	328	7	for	for	ADP
cana-3827	328	8	the	the	DET
cana-3827	328	9	machine	machine	NOUN
cana-3827	328	10	learning	learning	NOUN
cana-3827	328	11	models	model	NOUN
cana-3827	328	12	utilized	utilize	VERB
cana-3827	328	13	for	for	ADP
cana-3827	328	14	comparison	comparison	NOUN
cana-3827	328	15	.	.	PUNCT
cana-3827	329	1	table	table	NOUN
cana-3827	329	2	5	5	NUM
cana-3827	329	3	.	.	PUNCT
cana-3827	330	1	the	the	DET
cana-3827	330	2	parameters	parameter	NOUN
cana-3827	330	3	used	use	VERB
cana-3827	330	4	by	by	ADP
cana-3827	330	5	the	the	DET
cana-3827	330	6	models	model	NOUN
cana-3827	330	7	used	use	VERB
cana-3827	330	8	for	for	ADP
cana-3827	330	9	comparison	comparison	NOUN
cana-3827	330	10	.	.	PUNCT
cana-3827	331	1	models	model	NOUN
cana-3827	331	2	parameters	parameter	NOUN
cana-3827	331	3	number	number	NOUN
cana-3827	331	4	or	or	CCONJ
cana-3827	331	5	type	type	NOUN
cana-3827	331	6	svm	svm	ADJ
cana-3827	331	7	kernel	kernel	PROPN
cana-3827	331	8	function	function	VERB
cana-3827	331	9	radial	radial	ADJ
cana-3827	331	10	basis	basis	NOUN
cana-3827	331	11	function	function	NOUN
cana-3827	331	12	(	(	PUNCT
cana-3827	331	13	rbf	rbf	PROPN
cana-3827	331	14	)	)	PUNCT
cana-3827	331	15	dt	dt	X
cana-3827	332	1	maximum	maximum	ADJ
cana-3827	332	2	depth	depth	NOUN
cana-3827	332	3	of	of	ADP
cana-3827	332	4	base	base	NOUN
cana-3827	332	5	estimator	estimator	NOUN
cana-3827	332	6	10	10	NUM
cana-3827	332	7	minimum	minimum	ADJ
cana-3827	332	8	samples	sample	NOUN
cana-3827	332	9	of	of	ADP
cana-3827	332	10	leaf	leaf	NOUN
cana-3827	332	11	of	of	ADP
cana-3827	332	12	base	base	NOUN
cana-3827	332	13	estimator	estimator	NOUN
cana-3827	332	14	5	5	NUM
cana-3827	332	15	learning	learning	NOUN
cana-3827	332	16	rate	rate	NOUN
cana-3827	332	17	0.1	0.1	NUM
cana-3827	332	18	number	number	NOUN
cana-3827	332	19	of	of	ADP
cana-3827	332	20	estimators	estimator	NOUN
cana-3827	332	21	300	300	NUM
cana-3827	332	22	maximum	maximum	ADJ
cana-3827	332	23	depth	depth	NOUN
cana-3827	332	24	of	of	ADP
cana-3827	332	25	base	base	NOUN
cana-3827	332	26	estimator	estimator	NOUN
cana-3827	332	27	10	10	NUM
cana-3827	332	28	number	number	NOUN
cana-3827	332	29	of	of	ADP
cana-3827	332	30	estimators	estimator	NOUN
cana-3827	332	31	3	3	NUM
cana-3827	332	32	minimum	minimum	NOUN
cana-3827	332	33	samples	sample	NOUN
cana-3827	332	34	of	of	ADP
cana-3827	332	35	split	split	ADJ
cana-3827	332	36	5	5	NUM
cana-3827	332	37	rf	rf	NOUN
cana-3827	332	38	minimum	minimum	ADJ
cana-3827	332	39	samples	sample	NOUN
cana-3827	332	40	of	of	ADP
cana-3827	332	41	leaf	leaf	NOUN
cana-3827	332	42	2	2	NUM
cana-3827	332	43	maximum	maximum	NOUN
cana-3827	332	44	feature	feature	NOUN
cana-3827	332	45	sqrt	sqrt	NOUN
cana-3827	332	46	bootstrap	bootstrap	NOUN
cana-3827	332	47	false	false	ADJ
cana-3827	332	48	communications	communication	NOUN
cana-3827	332	49	on	on	ADP
cana-3827	332	50	applied	apply	VERB
cana-3827	332	51	nonlinear	nonlinear	ADJ
cana-3827	332	52	analysis	analysis	NOUN
cana-3827	332	53	issn	issn	NOUN
cana-3827	332	54	:	:	PUNCT
cana-3827	332	55	1074	1074	NUM
cana-3827	332	56	-	-	PUNCT
cana-3827	332	57	133x	133x	NUM
cana-3827	332	58	vol	vol	NOUN
cana-3827	332	59	32	32	NUM
cana-3827	332	60	no	no	NOUN
cana-3827	332	61	.	.	PUNCT
cana-3827	333	1	8s	8s	PROPN
cana-3827	333	2	(	(	PUNCT
cana-3827	333	3	2025	2025	NUM
cana-3827	333	4	)	)	PUNCT
cana-3827	333	5	860	860	NUM
cana-3827	333	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3827	333	7	6	6	NUM
cana-3827	333	8	results	result	NOUN
cana-3827	333	9	and	and	CCONJ
cana-3827	333	10	discussions	discussion	NOUN
cana-3827	333	11	in	in	ADP
cana-3827	333	12	this	this	DET
cana-3827	333	13	study	study	NOUN
cana-3827	333	14	,	,	PUNCT
cana-3827	333	15	random	random	ADJ
cana-3827	333	16	forest	forest	NOUN
cana-3827	333	17	with	with	ADP
cana-3827	333	18	pca	pca	PROPN
cana-3827	333	19	is	be	AUX
cana-3827	333	20	recommended	recommend	VERB
cana-3827	333	21	for	for	ADP
cana-3827	333	22	predicting	predict	VERB
cana-3827	333	23	students	student	NOUN
cana-3827	333	24	'	'	PART
cana-3827	333	25	skill	skill	NOUN
cana-3827	333	26	sets	set	NOUN
cana-3827	333	27	,	,	PUNCT
cana-3827	333	28	with	with	ADP
cana-3827	333	29	pca	pca	PROPN
cana-3827	333	30	being	be	AUX
cana-3827	333	31	used	use	VERB
cana-3827	333	32	for	for	ADP
cana-3827	333	33	feature	feature	NOUN
cana-3827	333	34	extraction	extraction	NOUN
cana-3827	333	35	.	.	PUNCT
cana-3827	334	1	assessment	assessment	NOUN
cana-3827	334	2	of	of	ADP
cana-3827	334	3	performance	performance	NOUN
cana-3827	334	4	involves	involve	VERB
cana-3827	334	5	metrics	metric	NOUN
cana-3827	334	6	such	such	ADJ
cana-3827	334	7	as	as	ADP
cana-3827	334	8	accuracy	accuracy	NOUN
cana-3827	334	9	,	,	PUNCT
cana-3827	334	10	precision	precision	NOUN
cana-3827	334	11	,	,	PUNCT
cana-3827	334	12	recall	recall	NOUN
cana-3827	334	13	,	,	PUNCT
cana-3827	334	14	f1	f1	NOUN
cana-3827	334	15	-	-	PUNCT
cana-3827	334	16	score	score	NOUN
cana-3827	334	17	,	,	PUNCT
cana-3827	334	18	and	and	CCONJ
cana-3827	334	19	auc	auc	NOUN
cana-3827	334	20	.	.	PUNCT
cana-3827	335	1	the	the	DET
cana-3827	335	2	effectiveness	effectiveness	NOUN
cana-3827	335	3	of	of	ADP
cana-3827	335	4	the	the	DET
cana-3827	335	5	proposed	propose	VERB
cana-3827	335	6	rf	rf	ADJ
cana-3827	335	7	-	-	ADJ
cana-3827	335	8	pca	pca	NOUN
cana-3827	335	9	model	model	NOUN
cana-3827	335	10	is	be	AUX
cana-3827	335	11	compared	compare	VERB
cana-3827	335	12	with	with	ADP
cana-3827	335	13	decision	decision	NOUN
cana-3827	335	14	trees	tree	NOUN
cana-3827	335	15	(	(	PUNCT
cana-3827	335	16	dt	dt	PROPN
cana-3827	335	17	)	)	PUNCT
cana-3827	335	18	,	,	PUNCT
cana-3827	335	19	logistic	logistic	ADJ
cana-3827	335	20	regression	regression	NOUN
cana-3827	335	21	(	(	PUNCT
cana-3827	335	22	logr	logr	NOUN
cana-3827	335	23	)	)	PUNCT
cana-3827	335	24	,	,	PUNCT
cana-3827	335	25	support	support	VERB
cana-3827	335	26	vector	vector	NOUN
cana-3827	335	27	machine	machine	NOUN
cana-3827	335	28	(	(	PUNCT
cana-3827	335	29	svm	svm	PROPN
cana-3827	335	30	)	)	PUNCT
cana-3827	335	31	,	,	PUNCT
cana-3827	335	32	and	and	CCONJ
cana-3827	335	33	random	random	ADJ
cana-3827	335	34	forest	forest	NOUN
cana-3827	335	35	(	(	PUNCT
cana-3827	335	36	rf	rf	NOUN
cana-3827	335	37	)	)	PUNCT
cana-3827	335	38	algorithms	algorithm	NOUN
cana-3827	335	39	.	.	PUNCT
cana-3827	336	1	6.1	6.1	NUM
cana-3827	336	2	assessment	assessment	NOUN
cana-3827	336	3	of	of	ADP
cana-3827	336	4	soft	soft	ADJ
cana-3827	336	5	skills	skill	NOUN
cana-3827	336	6	outcomes	outcome	NOUN
cana-3827	336	7	of	of	ADP
cana-3827	336	8	the	the	DET
cana-3827	336	9	soft	soft	ADJ
cana-3827	336	10	skills	skill	NOUN
cana-3827	336	11	assessment	assessment	NOUN
cana-3827	336	12	are	be	AUX
cana-3827	336	13	shown	show	VERB
cana-3827	336	14	in	in	ADP
cana-3827	336	15	table	table	NOUN
cana-3827	336	16	6	6	NUM
cana-3827	336	17	.	.	PUNCT
cana-3827	337	1	the	the	DET
cana-3827	337	2	results	result	NOUN
cana-3827	337	3	indicate	indicate	VERB
cana-3827	337	4	that	that	SCONJ
cana-3827	337	5	while	while	SCONJ
cana-3827	337	6	random	random	ADJ
cana-3827	337	7	forest	forest	NOUN
cana-3827	337	8	,	,	PUNCT
cana-3827	337	9	logistic	logistic	ADJ
cana-3827	337	10	regression	regression	NOUN
cana-3827	337	11	,	,	PUNCT
cana-3827	337	12	decision	decision	NOUN
cana-3827	337	13	tree	tree	NOUN
cana-3827	337	14	,	,	PUNCT
cana-3827	337	15	and	and	CCONJ
cana-3827	337	16	support	support	VERB
cana-3827	337	17	vector	vector	NOUN
cana-3827	337	18	machine	machine	NOUN
cana-3827	337	19	all	all	PRON
cana-3827	337	20	perform	perform	VERB
cana-3827	337	21	reasonably	reasonably	ADV
cana-3827	337	22	well	well	ADV
cana-3827	337	23	,	,	PUNCT
cana-3827	337	24	random	random	ADJ
cana-3827	337	25	forest	forest	NOUN
cana-3827	337	26	with	with	ADP
cana-3827	337	27	pca	pca	PROPN
cana-3827	337	28	achieves	achieve	VERB
cana-3827	337	29	superior	superior	ADJ
cana-3827	337	30	results	result	NOUN
cana-3827	337	31	with	with	ADP
cana-3827	337	32	an	an	DET
cana-3827	337	33	accuracy	accuracy	NOUN
cana-3827	337	34	of	of	ADP
cana-3827	337	35	86.56	86.56	NUM
cana-3827	337	36	%	%	NOUN
cana-3827	337	37	.	.	PUNCT
cana-3827	338	1	the	the	DET
cana-3827	338	2	random	random	ADJ
cana-3827	338	3	forest	forest	NOUN
cana-3827	338	4	with	with	ADP
cana-3827	338	5	pca	pca	PROPN
cana-3827	338	6	model	model	NOUN
cana-3827	338	7	's	's	PART
cana-3827	338	8	recall	recall	NOUN
cana-3827	338	9	,	,	PUNCT
cana-3827	338	10	f1	f1	NOUN
cana-3827	338	11	-	-	PUNCT
cana-3827	338	12	score	score	NOUN
cana-3827	338	13	,	,	PUNCT
cana-3827	338	14	and	and	CCONJ
cana-3827	338	15	precision	precision	NOUN
cana-3827	338	16	all	all	PRON
cana-3827	338	17	exceed	exceed	VERB
cana-3827	338	18	0.82	0.82	NUM
cana-3827	338	19	,	,	PUNCT
cana-3827	338	20	demonstrating	demonstrate	VERB
cana-3827	338	21	the	the	DET
cana-3827	338	22	model	model	NOUN
cana-3827	338	23	's	's	PART
cana-3827	338	24	excellent	excellent	ADJ
cana-3827	338	25	generalizability	generalizability	NOUN
cana-3827	338	26	and	and	CCONJ
cana-3827	338	27	its	its	PRON
cana-3827	338	28	ability	ability	NOUN
cana-3827	338	29	to	to	PART
cana-3827	338	30	predict	predict	VERB
cana-3827	338	31	soft	soft	ADJ
cana-3827	338	32	skills	skill	NOUN
cana-3827	338	33	with	with	ADP
cana-3827	338	34	the	the	DET
cana-3827	338	35	highest	high	ADJ
cana-3827	338	36	degree	degree	NOUN
cana-3827	338	37	of	of	ADP
cana-3827	338	38	accuracy	accuracy	NOUN
cana-3827	338	39	.	.	PUNCT
cana-3827	339	1	6.2	6.2	NUM
cana-3827	339	2	assessment	assessment	NOUN
cana-3827	339	3	of	of	ADP
cana-3827	339	4	life	life	NOUN
cana-3827	339	5	skills	skill	NOUN
cana-3827	339	6	table	table	NOUN
cana-3827	339	7	7	7	NUM
cana-3827	339	8	presents	present	VERB
cana-3827	339	9	the	the	DET
cana-3827	339	10	results	result	NOUN
cana-3827	339	11	related	relate	VERB
cana-3827	339	12	to	to	ADP
cana-3827	339	13	the	the	DET
cana-3827	339	14	prediction	prediction	NOUN
cana-3827	339	15	of	of	ADP
cana-3827	339	16	life	life	NOUN
cana-3827	339	17	skills	skill	NOUN
cana-3827	339	18	.	.	PUNCT
cana-3827	340	1	the	the	DET
cana-3827	340	2	findings	finding	NOUN
cana-3827	340	3	demonstrate	demonstrate	VERB
cana-3827	340	4	that	that	SCONJ
cana-3827	340	5	random	random	ADJ
cana-3827	340	6	forest	forest	NOUN
cana-3827	340	7	with	with	ADP
cana-3827	340	8	pca	pca	NOUN
cana-3827	340	9	outperforms	outperform	NOUN
cana-3827	340	10	support	support	VERB
cana-3827	340	11	vector	vector	NOUN
cana-3827	340	12	machine	machine	NOUN
cana-3827	340	13	(	(	PUNCT
cana-3827	340	14	svm	svm	PROPN
cana-3827	340	15	)	)	PUNCT
cana-3827	340	16	,	,	PUNCT
cana-3827	340	17	logistic	logistic	ADJ
cana-3827	340	18	regression	regression	NOUN
cana-3827	340	19	,	,	PUNCT
cana-3827	340	20	decision	decision	NOUN
cana-3827	340	21	tree	tree	NOUN
cana-3827	340	22	,	,	PUNCT
cana-3827	340	23	and	and	CCONJ
cana-3827	340	24	random	random	ADJ
cana-3827	340	25	forest	forest	NOUN
cana-3827	340	26	,	,	PUNCT
cana-3827	340	27	achieving	achieve	VERB
cana-3827	340	28	an	an	DET
cana-3827	340	29	accuracy	accuracy	NOUN
cana-3827	340	30	of	of	ADP
cana-3827	340	31	84.62	84.62	NUM
cana-3827	340	32	%	%	NOUN
cana-3827	340	33	.	.	PUNCT
cana-3827	341	1	additionally	additionally	ADV
cana-3827	341	2	,	,	PUNCT
cana-3827	341	3	recall	recall	NOUN
cana-3827	341	4	,	,	PUNCT
cana-3827	341	5	f1	f1	NOUN
cana-3827	341	6	-	-	PUNCT
cana-3827	341	7	score	score	NOUN
cana-3827	341	8	,	,	PUNCT
cana-3827	341	9	and	and	CCONJ
cana-3827	341	10	precision	precision	NOUN
cana-3827	341	11	for	for	ADP
cana-3827	341	12	the	the	DET
cana-3827	341	13	random	random	ADJ
cana-3827	341	14	forest	forest	NOUN
cana-3827	341	15	with	with	ADP
cana-3827	341	16	pca	pca	NOUN
cana-3827	341	17	model	model	NOUN
cana-3827	341	18	are	be	AUX
cana-3827	341	19	all	all	PRON
cana-3827	341	20	above	above	ADP
cana-3827	341	21	0.82	0.82	NUM
cana-3827	341	22	,	,	PUNCT
cana-3827	341	23	underscoring	underscore	VERB
cana-3827	341	24	the	the	DET
cana-3827	341	25	model	model	NOUN
cana-3827	341	26	's	's	PART
cana-3827	341	27	robustness	robustness	NOUN
cana-3827	341	28	and	and	CCONJ
cana-3827	341	29	its	its	PRON
cana-3827	341	30	capability	capability	NOUN
cana-3827	341	31	to	to	PART
cana-3827	341	32	accurately	accurately	ADV
cana-3827	341	33	predict	predict	VERB
cana-3827	341	34	life	life	NOUN
cana-3827	341	35	skills	skill	NOUN
cana-3827	341	36	.	.	PUNCT
cana-3827	342	1	6.3	6.3	NUM
cana-3827	342	2	assessment	assessment	NOUN
cana-3827	342	3	of	of	ADP
cana-3827	342	4	technical	technical	ADJ
cana-3827	342	5	skills	skill	NOUN
cana-3827	342	6	in	in	ADP
cana-3827	342	7	table	table	NOUN
cana-3827	342	8	8	8	NUM
cana-3827	342	9	,	,	PUNCT
cana-3827	342	10	the	the	DET
cana-3827	342	11	outcomes	outcome	NOUN
cana-3827	342	12	of	of	ADP
cana-3827	342	13	the	the	DET
cana-3827	342	14	technical	technical	ADJ
cana-3827	342	15	skills	skill	NOUN
cana-3827	342	16	prediction	prediction	NOUN
cana-3827	342	17	are	be	AUX
cana-3827	342	18	presented	present	VERB
cana-3827	342	19	.	.	PUNCT
cana-3827	343	1	the	the	DET
cana-3827	343	2	results	result	NOUN
cana-3827	343	3	indicate	indicate	VERB
cana-3827	343	4	that	that	SCONJ
cana-3827	343	5	random	random	ADJ
cana-3827	343	6	forest	forest	NOUN
cana-3827	343	7	with	with	ADP
cana-3827	343	8	pca	pca	NOUN
cana-3827	343	9	outperforms	outperform	NOUN
cana-3827	343	10	all	all	DET
cana-3827	343	11	other	other	ADJ
cana-3827	343	12	models	model	NOUN
cana-3827	343	13	,	,	PUNCT
cana-3827	343	14	including	include	VERB
cana-3827	343	15	random	random	ADJ
cana-3827	343	16	forest	forest	NOUN
cana-3827	343	17	,	,	PUNCT
cana-3827	343	18	logistic	logistic	ADJ
cana-3827	343	19	regression	regression	NOUN
cana-3827	343	20	,	,	PUNCT
cana-3827	343	21	decision	decision	NOUN
cana-3827	343	22	tree	tree	NOUN
cana-3827	343	23	,	,	PUNCT
cana-3827	343	24	and	and	CCONJ
cana-3827	343	25	support	support	VERB
cana-3827	343	26	vector	vector	NOUN
cana-3827	343	27	machine	machine	NOUN
cana-3827	343	28	,	,	PUNCT
cana-3827	343	29	achieving	achieve	VERB
cana-3827	343	30	an	an	DET
cana-3827	343	31	accuracy	accuracy	NOUN
cana-3827	343	32	of	of	ADP
cana-3827	343	33	87.05	87.05	NUM
cana-3827	343	34	%	%	NOUN
cana-3827	343	35	.	.	PUNCT
cana-3827	344	1	the	the	DET
cana-3827	344	2	random	random	ADJ
cana-3827	344	3	forest	forest	NOUN
cana-3827	344	4	with	with	ADP
cana-3827	344	5	pca	pca	PROPN
cana-3827	344	6	model	model	NOUN
cana-3827	344	7	's	's	PART
cana-3827	344	8	recall	recall	NOUN
cana-3827	344	9	,	,	PUNCT
cana-3827	344	10	f1	f1	NOUN
cana-3827	344	11	-	-	PUNCT
cana-3827	344	12	score	score	NOUN
cana-3827	344	13	,	,	PUNCT
cana-3827	344	14	and	and	CCONJ
cana-3827	344	15	precision	precision	NOUN
cana-3827	344	16	all	all	PRON
cana-3827	344	17	exceed	exceed	VERB
cana-3827	344	18	0.84	0.84	NUM
cana-3827	344	19	,	,	PUNCT
cana-3827	344	20	highlighting	highlight	VERB
cana-3827	344	21	the	the	DET
cana-3827	344	22	model	model	NOUN
cana-3827	344	23	's	's	PART
cana-3827	344	24	exceptional	exceptional	ADJ
cana-3827	344	25	generalizability	generalizability	NOUN
cana-3827	344	26	and	and	CCONJ
cana-3827	344	27	its	its	PRON
cana-3827	344	28	capacity	capacity	NOUN
cana-3827	344	29	to	to	PART
cana-3827	344	30	precisely	precisely	ADV
cana-3827	344	31	predict	predict	VERB
cana-3827	344	32	technical	technical	ADJ
cana-3827	344	33	skill	skill	NOUN
cana-3827	344	34	levels	level	NOUN
cana-3827	344	35	.	.	PUNCT
cana-3827	345	1	table	table	NOUN
cana-3827	345	2	6	6	NUM
cana-3827	345	3	.	.	PUNCT
cana-3827	346	1	analysis	analysis	NOUN
cana-3827	346	2	of	of	ADP
cana-3827	346	3	accuracy	accuracy	NOUN
cana-3827	346	4	,	,	PUNCT
cana-3827	346	5	precision	precision	NOUN
cana-3827	346	6	,	,	PUNCT
cana-3827	346	7	recall	recall	NOUN
cana-3827	346	8	,	,	PUNCT
cana-3827	346	9	f1	f1	NOUN
cana-3827	346	10	-	-	PUNCT
cana-3827	346	11	score	score	NOUN
cana-3827	346	12	,	,	PUNCT
cana-3827	346	13	and	and	CCONJ
cana-3827	346	14	auc	auc	VERB
cana-3827	346	15	values	value	NOUN
cana-3827	346	16	across	across	ADP
cana-3827	346	17	different	different	ADJ
cana-3827	346	18	models	model	NOUN
cana-3827	346	19	for	for	ADP
cana-3827	346	20	predicting	predict	VERB
cana-3827	346	21	soft	soft	ADJ
cana-3827	346	22	skills	skill	NOUN
cana-3827	346	23	modelemployed	modelemploye	VERB
cana-3827	346	24	accuracy	accuracy	NOUN
cana-3827	346	25	precision	precision	NOUN
cana-3827	346	26	recall	recall	VERB
cana-3827	346	27	f1	f1	NOUN
cana-3827	346	28	-	-	PUNCT
cana-3827	346	29	score	score	NOUN
cana-3827	346	30	auc	auc	NOUN
cana-3827	346	31	value	value	NOUN
cana-3827	346	32	logr	logr	NOUN
cana-3827	346	33	0.7014	0.7014	NUM
cana-3827	347	1	0.7166	0.7166	NUM
cana-3827	347	2	0.7678	0.7678	NUM
cana-3827	347	3	0.7413	0.7413	NUM
cana-3827	347	4	0.6929	0.6929	NUM
cana-3827	347	5	dt	dt	ADP
cana-3827	347	6	0.8059	0.8059	NUM
cana-3827	347	7	0.7920	0.7920	NUM
cana-3827	347	8	0.8839	0.8839	NUM
cana-3827	347	9	0.8354	0.8354	NUM
cana-3827	347	10	0.7958	0.7958	NUM
cana-3827	347	11	svm	svm	NOUN
cana-3827	347	12	0.8009	0.8009	NUM
cana-3827	347	13	0.7812	0.7812	NUM
cana-3827	347	14	0.8928	0.8928	NUM
cana-3827	347	15	0.8333	0.8333	NUM
cana-3827	347	16	0.7958	0.7958	NUM
cana-3827	347	17	rf	rf	NOUN
cana-3827	347	18	0.8507	0.8507	NUM
cana-3827	347	19	0.8202	0.8202	NUM
cana-3827	347	20	0.9375	0.9375	NUM
cana-3827	347	21	0.8750	0.8750	NUM
cana-3827	347	22	0.8395	0.8395	NUM
cana-3827	347	23	rf	rf	NOUN
cana-3827	347	24	-	-	NOUN
cana-3827	347	25	pca	pca	NOUN
cana-3827	347	26	0.8656	0.8656	NUM
cana-3827	347	27	0.8244	0.8244	NUM
cana-3827	347	28	0.9642	0.9642	NUM
cana-3827	347	29	0.8888	0.8888	NUM
cana-3827	347	30	0.8529	0.8529	NUM
cana-3827	347	31	table	table	NOUN
cana-3827	347	32	7	7	NUM
cana-3827	347	33	.	.	PUNCT
cana-3827	347	34	analysis	analysis	NOUN
cana-3827	347	35	of	of	ADP
cana-3827	347	36	accuracy	accuracy	NOUN
cana-3827	347	37	,	,	PUNCT
cana-3827	347	38	precision	precision	NOUN
cana-3827	347	39	,	,	PUNCT
cana-3827	347	40	recall	recall	NOUN
cana-3827	347	41	,	,	PUNCT
cana-3827	347	42	f1	f1	NOUN
cana-3827	347	43	-	-	PUNCT
cana-3827	347	44	score	score	NOUN
cana-3827	347	45	,	,	PUNCT
cana-3827	347	46	and	and	CCONJ
cana-3827	347	47	auc	auc	VERB
cana-3827	347	48	values	value	NOUN
cana-3827	347	49	across	across	ADP
cana-3827	347	50	different	different	ADJ
cana-3827	347	51	models	model	NOUN
cana-3827	347	52	predicting	predict	VERB
cana-3827	347	53	life	life	NOUN
cana-3827	347	54	skills	skill	NOUN
cana-3827	347	55	model	model	NOUN
cana-3827	347	56	employed	employ	VERB
cana-3827	347	57	accuracy	accuracy	NOUN
cana-3827	347	58	precision	precision	NOUN
cana-3827	347	59	recall	recall	VERB
cana-3827	347	60	f1	f1	NOUN
cana-3827	347	61	-	-	PUNCT
cana-3827	347	62	score	score	NOUN
cana-3827	347	63	auc	auc	NOUN
cana-3827	347	64	value	value	NOUN
cana-3827	347	65	logr	logr	NOUN
cana-3827	347	66	0.6069	0.6069	NUM
cana-3827	347	67	0.5700	0.5700	NUM
cana-3827	347	68	0.6129	0.6129	NUM
cana-3827	347	69	0.5906	0.5906	NUM
cana-3827	347	70	0.6073	0.6073	NUM
cana-3827	347	71	dt	dt	NOUN
cana-3827	347	72	0.8109	0.8109	NUM
cana-3827	347	73	0.8125	0.8125	NUM
cana-3827	347	74	0.7959	0.7959	NUM
cana-3827	347	75	0.8041	0.8041	NUM
cana-3827	347	76	0.8105	0.8105	NUM
cana-3827	347	77	svm	svm	VERB
cana-3827	347	78	0.6716	0.6716	NUM
cana-3827	347	79	0.6310	0.6310	NUM
cana-3827	347	80	0.6989	0.6989	NUM
cana-3827	347	81	0.6632	0.6632	NUM
cana-3827	347	82	0.8243	0.8243	NUM
cana-3827	347	83	rf	rf	VERB
cana-3827	347	84	0.8208	0.8208	NUM
cana-3827	347	85	0.7786	0.7786	NUM
cana-3827	347	86	0.9134	0.9134	NUM
cana-3827	347	87	0.8407	0.8407	NUM
cana-3827	347	88	0.8175	0.8175	NUM
cana-3827	347	89	rf	rf	ADJ
cana-3827	347	90	-	-	NOUN
cana-3827	347	91	pca	pca	NOUN
cana-3827	347	92	0.8462	0.8462	NUM
cana-3827	347	93	0.8252	0.8252	NUM
cana-3827	347	94	0.8673	0.8673	NUM
cana-3827	347	95	0.8457	0.8457	NUM
cana-3827	347	96	0.8462	0.8462	NUM
cana-3827	347	97	communications	communication	NOUN
cana-3827	347	98	on	on	ADP
cana-3827	347	99	applied	apply	VERB
cana-3827	347	100	nonlinear	nonlinear	ADJ
cana-3827	347	101	analysis	analysis	NOUN
cana-3827	347	102	issn	issn	NOUN
cana-3827	347	103	:	:	PUNCT
cana-3827	347	104	1074	1074	NUM
cana-3827	347	105	-	-	PUNCT
cana-3827	347	106	133x	133x	NUM
cana-3827	347	107	vol	vol	NOUN
cana-3827	347	108	32	32	NUM
cana-3827	347	109	no	no	NOUN
cana-3827	347	110	.	.	PUNCT
cana-3827	348	1	8s	8s	PROPN
cana-3827	348	2	(	(	PUNCT
cana-3827	348	3	2025	2025	NUM
cana-3827	348	4	)	)	PUNCT
cana-3827	348	5	861	861	NUM
cana-3827	348	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3827	348	7	table	table	NOUN
cana-3827	348	8	8	8	NUM
cana-3827	348	9	.	.	PUNCT
cana-3827	349	1	analysis	analysis	NOUN
cana-3827	349	2	of	of	ADP
cana-3827	349	3	accuracy	accuracy	NOUN
cana-3827	349	4	,	,	PUNCT
cana-3827	349	5	precision	precision	NOUN
cana-3827	349	6	,	,	PUNCT
cana-3827	349	7	recall	recall	NOUN
cana-3827	349	8	,	,	PUNCT
cana-3827	349	9	f1	f1	NOUN
cana-3827	349	10	-	-	PUNCT
cana-3827	349	11	score	score	NOUN
cana-3827	349	12	,	,	PUNCT
cana-3827	349	13	and	and	CCONJ
cana-3827	349	14	auc	auc	VERB
cana-3827	349	15	values	value	NOUN
cana-3827	349	16	across	across	ADP
cana-3827	349	17	different	different	ADJ
cana-3827	349	18	models	model	NOUN
cana-3827	349	19	predicting	predict	VERB
cana-3827	349	20	technical	technical	ADJ
cana-3827	349	21	skills	skill	NOUN
cana-3827	349	22	model	model	NOUN
cana-3827	349	23	employed	employ	VERB
cana-3827	349	24	accuracy	accuracy	NOUN
cana-3827	349	25	precision	precision	NOUN
cana-3827	349	26	recall	recall	VERB
cana-3827	349	27	f1	f1	NOUN
cana-3827	349	28	-	-	PUNCT
cana-3827	349	29	score	score	NOUN
cana-3827	349	30	auc	auc	NOUN
cana-3827	349	31	value	value	NOUN
cana-3827	349	32	logr	logr	NOUN
cana-3827	349	33	0.7064	0.7064	NUM
cana-3827	349	34	0.7289	0.7289	NUM
cana-3827	349	35	0.7222	0.7222	NUM
cana-3827	349	36	0.7255	0.7255	NUM
cana-3827	349	37	0.7051	0.7051	NUM
cana-3827	349	38	dt	dt	NOUN
cana-3827	349	39	0.8308	0.8308	NUM
cana-3827	349	40	0.7747	0.7747	NUM
cana-3827	350	1	0.9052	0.9052	NUM
cana-3827	350	2	0.8349	0.8349	NUM
cana-3827	350	3	0.8347	0.8347	NUM
cana-3827	350	4	svm	svm	NOUN
cana-3827	350	5	0.8258	0.8258	NUM
cana-3827	350	6	0.7542	0.7542	NUM
cana-3827	350	7	0.9368	0.9368	NUM
cana-3827	350	8	0.8356	0.8356	NUM
cana-3827	350	9	0.8347	0.8347	NUM
cana-3827	350	10	rf	rf	NUM
cana-3827	350	11	0.8606	0.8606	NUM
cana-3827	350	12	0.8474	0.8474	NUM
cana-3827	350	13	0.9259	0.9259	NUM
cana-3827	350	14	0.8849	0.8849	NUM
cana-3827	350	15	0.8661	0.8661	NUM
cana-3827	350	16	rf	rf	ADJ
cana-3827	350	17	-	-	NOUN
cana-3827	350	18	pca	pca	NOUN
cana-3827	350	19	0.8705	0.8705	NUM
cana-3827	350	20	0.8442	0.8442	NUM
cana-3827	350	21	0.9537	0.9537	NUM
cana-3827	350	22	0.8956	0.8956	NUM
cana-3827	350	23	0.8747	0.8747	NUM
cana-3827	350	24	figure	figure	NOUN
cana-3827	350	25	4	4	NUM
cana-3827	350	26	demonstrates	demonstrate	VERB
cana-3827	350	27	the	the	DET
cana-3827	350	28	roc	roc	PROPN
cana-3827	350	29	curves	curve	NOUN
cana-3827	350	30	for	for	ADP
cana-3827	350	31	five	five	NUM
cana-3827	350	32	different	different	ADJ
cana-3827	350	33	algorithms	algorithm	NOUN
cana-3827	350	34	used	use	VERB
cana-3827	350	35	in	in	ADP
cana-3827	350	36	predicting	predict	VERB
cana-3827	350	37	the	the	DET
cana-3827	350	38	soft	soft	ADJ
cana-3827	350	39	,	,	PUNCT
cana-3827	350	40	life	life	NOUN
cana-3827	350	41	and	and	CCONJ
cana-3827	350	42	technical	technical	ADJ
cana-3827	350	43	skills	skill	NOUN
cana-3827	350	44	of	of	ADP
cana-3827	350	45	computer	computer	NOUN
cana-3827	350	46	science	science	NOUN
cana-3827	350	47	students	student	NOUN
cana-3827	350	48	:	:	PUNCT
cana-3827	350	49	logistic	logistic	ADJ
cana-3827	350	50	regression	regression	NOUN
cana-3827	350	51	,	,	PUNCT
cana-3827	350	52	decision	decision	NOUN
cana-3827	350	53	tree	tree	NOUN
cana-3827	350	54	,	,	PUNCT
cana-3827	350	55	support	support	VERB
cana-3827	350	56	vector	vector	NOUN
cana-3827	350	57	machine	machine	NOUN
cana-3827	350	58	,	,	PUNCT
cana-3827	350	59	random	random	ADJ
cana-3827	350	60	forest	forest	NOUN
cana-3827	350	61	,	,	PUNCT
cana-3827	350	62	and	and	CCONJ
cana-3827	350	63	random	random	ADJ
cana-3827	350	64	forest	forest	NOUN
cana-3827	350	65	-	-	PUNCT
cana-3827	350	66	pca	pca	NOUN
cana-3827	350	67	.	.	PUNCT
cana-3827	350	68	figure	figure	NOUN
cana-3827	350	69	4	4	NUM
cana-3827	350	70	:	:	PUNCT
cana-3827	350	71	roc	roc	PROPN
cana-3827	350	72	curves	curve	NOUN
cana-3827	350	73	for	for	ADP
cana-3827	350	74	soft	soft	ADJ
cana-3827	350	75	,	,	PUNCT
cana-3827	350	76	life	life	NOUN
cana-3827	350	77	and	and	CCONJ
cana-3827	350	78	technical	technical	ADJ
cana-3827	350	79	skills	skill	NOUN
cana-3827	350	80	6.4	6.4	NUM
cana-3827	350	81	confusion	confusion	NOUN
cana-3827	350	82	matrix	matrix	NOUN
cana-3827	350	83	of	of	ADP
cana-3827	350	84	proposed	propose	VERB
cana-3827	350	85	model	model	NOUN
cana-3827	350	86	the	the	DET
cana-3827	350	87	confusion	confusion	NOUN
cana-3827	350	88	matrix	matrix	NOUN
cana-3827	350	89	is	be	AUX
cana-3827	350	90	an	an	DET
cana-3827	350	91	excellent	excellent	ADJ
cana-3827	350	92	tool	tool	NOUN
cana-3827	350	93	for	for	ADP
cana-3827	350	94	assessing	assess	VERB
cana-3827	350	95	classifier	classifier	NOUN
cana-3827	350	96	performance	performance	NOUN
cana-3827	350	97	.	.	PUNCT
cana-3827	351	1	after	after	ADP
cana-3827	351	2	using	use	VERB
cana-3827	351	3	neural	neural	ADJ
cana-3827	351	4	networks	network	NOUN
cana-3827	351	5	on	on	ADP
cana-3827	351	6	a	a	DET
cana-3827	351	7	training	training	NOUN
cana-3827	351	8	set	set	NOUN
cana-3827	351	9	of	of	ADP
cana-3827	351	10	data	datum	NOUN
cana-3827	351	11	,	,	PUNCT
cana-3827	351	12	the	the	DET
cana-3827	351	13	results	result	NOUN
cana-3827	351	14	are	be	AUX
cana-3827	351	15	displayed	display	VERB
cana-3827	351	16	as	as	ADP
cana-3827	351	17	confusion	confusion	NOUN
cana-3827	351	18	matrices	matrix	NOUN
cana-3827	351	19	,	,	PUNCT
cana-3827	351	20	which	which	PRON
cana-3827	351	21	are	be	AUX
cana-3827	351	22	twodimensional	twodimensional	ADJ
cana-3827	351	23	matrices	matrix	NOUN
cana-3827	351	24	.	.	PUNCT
cana-3827	352	1	the	the	DET
cana-3827	352	2	confusion	confusion	NOUN
cana-3827	352	3	matrix	matrix	NOUN
cana-3827	352	4	's	's	PART
cana-3827	352	5	operation	operation	NOUN
cana-3827	352	6	is	be	AUX
cana-3827	352	7	depicted	depict	VERB
cana-3827	352	8	in	in	ADP
cana-3827	352	9	figure	figure	NOUN
cana-3827	352	10	5	5	NUM
cana-3827	353	1	[	[	X
cana-3827	353	2	20	20	NUM
cana-3827	353	3	]	]	PUNCT
cana-3827	353	4	.	.	PUNCT
cana-3827	354	1	the	the	DET
cana-3827	354	2	confusion	confusion	NOUN
cana-3827	354	3	matrix	matrix	NOUN
cana-3827	354	4	for	for	ADP
cana-3827	354	5	the	the	DET
cana-3827	354	6	soft	soft	ADJ
cana-3827	354	7	skill	skill	NOUN
cana-3827	354	8	of	of	ADP
cana-3827	354	9	the	the	DET
cana-3827	354	10	rf	rf	NOUN
cana-3827	354	11	-	-	NOUN
cana-3827	354	12	pca	pca	NOUN
cana-3827	354	13	is	be	AUX
cana-3827	354	14	shown	show	VERB
cana-3827	354	15	in	in	ADP
cana-3827	354	16	figure	figure	NOUN
cana-3827	354	17	6	6	NUM
cana-3827	354	18	,	,	PUNCT
cana-3827	354	19	and	and	CCONJ
cana-3827	354	20	with	with	ADP
cana-3827	354	21	an	an	DET
cana-3827	354	22	accuracy	accuracy	NOUN
cana-3827	354	23	of	of	ADP
cana-3827	354	24	86.56	86.56	NUM
cana-3827	354	25	%	%	NOUN
cana-3827	354	26	,	,	PUNCT
cana-3827	354	27	it	it	PRON
cana-3827	354	28	is	be	AUX
cana-3827	354	29	the	the	DET
cana-3827	354	30	most	most	ADV
cana-3827	354	31	accurate	accurate	ADJ
cana-3827	354	32	classifier	classifier	NOUN
cana-3827	354	33	.	.	PUNCT
cana-3827	355	1	the	the	DET
cana-3827	355	2	confusion	confusion	NOUN
cana-3827	355	3	matrix	matrix	NOUN
cana-3827	355	4	for	for	ADP
cana-3827	355	5	life	life	NOUN
cana-3827	355	6	skill	skill	NOUN
cana-3827	355	7	of	of	ADP
cana-3827	355	8	the	the	DET
cana-3827	355	9	rf	rf	NOUN
cana-3827	355	10	-	-	NOUN
cana-3827	355	11	pca	pca	NOUN
cana-3827	355	12	is	be	AUX
cana-3827	355	13	shown	show	VERB
cana-3827	355	14	in	in	ADP
cana-3827	355	15	figure	figure	NOUN
cana-3827	355	16	7	7	NUM
cana-3827	355	17	,	,	PUNCT
cana-3827	355	18	and	and	CCONJ
cana-3827	355	19	with	with	ADP
cana-3827	355	20	an	an	DET
cana-3827	355	21	accuracy	accuracy	NOUN
cana-3827	355	22	of	of	ADP
cana-3827	355	23	84.62	84.62	NUM
cana-3827	355	24	%	%	NOUN
cana-3827	355	25	,	,	PUNCT
cana-3827	355	26	it	it	PRON
cana-3827	355	27	is	be	AUX
cana-3827	355	28	the	the	DET
cana-3827	355	29	classifier	classifier	NOUN
cana-3827	355	30	with	with	ADP
cana-3827	355	31	greatest	great	ADJ
cana-3827	355	32	results	result	NOUN
cana-3827	355	33	.	.	PUNCT
cana-3827	356	1	the	the	DET
cana-3827	356	2	rf	rf	NOUN
cana-3827	356	3	-	-	PUNCT
cana-3827	356	4	pca	pca	NOUN
cana-3827	356	5	's	's	PART
cana-3827	356	6	technical	technical	ADJ
cana-3827	356	7	skill	skill	NOUN
cana-3827	356	8	confusion	confusion	NOUN
cana-3827	356	9	matrix	matrix	NOUN
cana-3827	356	10	is	be	AUX
cana-3827	356	11	shown	show	VERB
cana-3827	356	12	in	in	ADP
cana-3827	356	13	figure	figure	NOUN
cana-3827	356	14	8	8	NUM
cana-3827	356	15	,	,	PUNCT
cana-3827	356	16	and	and	CCONJ
cana-3827	356	17	with	with	ADP
cana-3827	356	18	an	an	DET
cana-3827	356	19	accuracy	accuracy	NOUN
cana-3827	356	20	of	of	ADP
cana-3827	356	21	87.05	87.05	NUM
cana-3827	356	22	%	%	NOUN
cana-3827	356	23	,	,	PUNCT
cana-3827	356	24	it	it	PRON
cana-3827	356	25	is	be	AUX
cana-3827	356	26	the	the	DET
cana-3827	356	27	best	good	ADJ
cana-3827	356	28	classifier	classifier	NOUN
cana-3827	356	29	available	available	ADJ
cana-3827	356	30	.	.	PUNCT
cana-3827	357	1	communications	communication	NOUN
cana-3827	357	2	on	on	ADP
cana-3827	357	3	applied	apply	VERB
cana-3827	357	4	nonlinear	nonlinear	ADJ
cana-3827	357	5	analysis	analysis	NOUN
cana-3827	357	6	issn	issn	NOUN
cana-3827	357	7	:	:	PUNCT
cana-3827	357	8	1074	1074	NUM
cana-3827	357	9	-	-	PUNCT
cana-3827	357	10	133x	133x	NUM
cana-3827	357	11	vol	vol	NOUN
cana-3827	357	12	32	32	NUM
cana-3827	357	13	no	no	NOUN
cana-3827	357	14	.	.	PUNCT
cana-3827	358	1	8s	8s	PROPN
cana-3827	358	2	(	(	PUNCT
cana-3827	358	3	2025	2025	NUM
cana-3827	358	4	)	)	PUNCT
cana-3827	358	5	862	862	NUM
cana-3827	358	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3827	358	7	figure	figure	NOUN
cana-3827	358	8	5	5	NUM
cana-3827	358	9	:	:	PUNCT
cana-3827	358	10	confusion	confusion	NOUN
cana-3827	358	11	matrix	matrix	NOUN
cana-3827	358	12	breakdown	breakdown	NOUN
cana-3827	358	13	figure	figure	NOUN
cana-3827	358	14	6	6	NUM
cana-3827	358	15	:	:	PUNCT
cana-3827	358	16	confusion	confusion	NOUN
cana-3827	358	17	matrix	matrix	NOUN
cana-3827	358	18	for	for	ADP
cana-3827	358	19	soft	soft	ADJ
cana-3827	358	20	skills	skill	NOUN
cana-3827	358	21	figure	figure	NOUN
cana-3827	358	22	7	7	NUM
cana-3827	358	23	:	:	PUNCT
cana-3827	358	24	confusion	confusion	NOUN
cana-3827	358	25	matrix	matrix	NOUN
cana-3827	358	26	for	for	ADP
cana-3827	358	27	life	life	NOUN
cana-3827	358	28	skills	skill	NOUN
cana-3827	358	29	figure	figure	VERB
cana-3827	358	30	8	8	NUM
cana-3827	358	31	:	:	PUNCT
cana-3827	358	32	confusion	confusion	NOUN
cana-3827	358	33	matrix	matrix	NOUN
cana-3827	358	34	for	for	ADP
cana-3827	358	35	technical	technical	ADJ
cana-3827	358	36	skills	skill	NOUN
cana-3827	358	37	6.5	6.5	NUM
cana-3827	358	38	comparison	comparison	NOUN
cana-3827	358	39	of	of	ADP
cana-3827	358	40	the	the	DET
cana-3827	358	41	proposed	propose	VERB
cana-3827	358	42	model	model	NOUN
cana-3827	358	43	with	with	ADP
cana-3827	358	44	other	other	ADJ
cana-3827	358	45	models	model	NOUN
cana-3827	358	46	the	the	DET
cana-3827	358	47	model	model	NOUN
cana-3827	358	48	's	's	PART
cana-3827	358	49	effectiveness	effectiveness	NOUN
cana-3827	358	50	is	be	AUX
cana-3827	358	51	thoroughly	thoroughly	ADV
cana-3827	358	52	assessed	assess	VERB
cana-3827	358	53	using	use	VERB
cana-3827	358	54	various	various	ADJ
cana-3827	358	55	evaluation	evaluation	NOUN
cana-3827	358	56	metrics	metric	NOUN
cana-3827	358	57	,	,	PUNCT
cana-3827	358	58	providing	provide	VERB
cana-3827	358	59	insights	insight	NOUN
cana-3827	358	60	into	into	ADP
cana-3827	358	61	its	its	PRON
cana-3827	358	62	overall	overall	ADJ
cana-3827	358	63	performance	performance	NOUN
cana-3827	358	64	.	.	PUNCT
cana-3827	359	1	this	this	DET
cana-3827	359	2	study	study	NOUN
cana-3827	359	3	employs	employ	VERB
cana-3827	359	4	diverse	diverse	ADJ
cana-3827	359	5	statistical	statistical	ADJ
cana-3827	359	6	measures	measure	NOUN
cana-3827	359	7	,	,	PUNCT
cana-3827	359	8	including	include	VERB
cana-3827	359	9	accuracy	accuracy	NOUN
cana-3827	359	10	,	,	PUNCT
cana-3827	359	11	precision	precision	NOUN
cana-3827	359	12	,	,	PUNCT
cana-3827	359	13	recall	recall	NOUN
cana-3827	359	14	,	,	PUNCT
cana-3827	359	15	f1	f1	NOUN
cana-3827	359	16	-	-	PUNCT
cana-3827	359	17	score	score	NOUN
cana-3827	359	18	,	,	PUNCT
cana-3827	359	19	and	and	CCONJ
cana-3827	359	20	auc	auc	NOUN
cana-3827	359	21	,	,	PUNCT
cana-3827	359	22	for	for	ADP
cana-3827	359	23	the	the	DET
cana-3827	359	24	comprehensive	comprehensive	ADJ
cana-3827	359	25	evaluation	evaluation	NOUN
cana-3827	359	26	of	of	ADP
cana-3827	359	27	the	the	DET
cana-3827	359	28	rf	rf	ADJ
cana-3827	359	29	-	-	ADJ
cana-3827	359	30	pca	pca	NOUN
cana-3827	359	31	model	model	NOUN
cana-3827	359	32	.	.	PUNCT
cana-3827	360	1	to	to	PART
cana-3827	360	2	gauge	gauge	VERB
cana-3827	360	3	its	its	PRON
cana-3827	360	4	performance	performance	NOUN
cana-3827	360	5	,	,	PUNCT
cana-3827	360	6	the	the	DET
cana-3827	360	7	rf	rf	ADJ
cana-3827	360	8	-	-	PUNCT
cana-3827	360	9	pca	pca	ADJ
cana-3827	360	10	model	model	NOUN
cana-3827	360	11	is	be	AUX
cana-3827	360	12	compared	compare	VERB
cana-3827	360	13	against	against	ADP
cana-3827	360	14	alternative	alternative	ADJ
cana-3827	360	15	machine	machine	NOUN
cana-3827	360	16	learning	learning	NOUN
cana-3827	360	17	models	model	NOUN
cana-3827	360	18	such	such	ADJ
cana-3827	360	19	as	as	ADP
cana-3827	360	20	random	random	ADJ
cana-3827	360	21	forest	forest	NOUN
cana-3827	360	22	(	(	PUNCT
cana-3827	360	23	rf	rf	NOUN
cana-3827	360	24	)	)	PUNCT
cana-3827	360	25	,	,	PUNCT
cana-3827	360	26	logistic	logistic	ADJ
cana-3827	360	27	regression	regression	NOUN
cana-3827	360	28	(	(	PUNCT
cana-3827	360	29	logr	logr	NOUN
cana-3827	360	30	)	)	PUNCT
cana-3827	360	31	,	,	PUNCT
cana-3827	360	32	decision	decision	NOUN
cana-3827	360	33	tree	tree	NOUN
cana-3827	360	34	(	(	PUNCT
cana-3827	360	35	dt	dt	NOUN
cana-3827	360	36	)	)	PUNCT
cana-3827	360	37	,	,	PUNCT
cana-3827	360	38	and	and	CCONJ
cana-3827	360	39	support	support	VERB
cana-3827	360	40	vector	vector	NOUN
cana-3827	360	41	machine	machine	NOUN
cana-3827	360	42	(	(	PUNCT
cana-3827	360	43	svm	svm	PROPN
cana-3827	360	44	)	)	PUNCT
cana-3827	360	45	.	.	PUNCT
cana-3827	361	1	this	this	DET
cana-3827	361	2	comparative	comparative	ADJ
cana-3827	361	3	analysis	analysis	NOUN
cana-3827	361	4	across	across	ADP
cana-3827	361	5	accuracy	accuracy	NOUN
cana-3827	361	6	,	,	PUNCT
cana-3827	361	7	precision	precision	NOUN
cana-3827	361	8	,	,	PUNCT
cana-3827	361	9	recall	recall	NOUN
cana-3827	361	10	,	,	PUNCT
cana-3827	361	11	f1	f1	NOUN
cana-3827	361	12	-	-	PUNCT
cana-3827	361	13	score	score	NOUN
cana-3827	361	14	,	,	PUNCT
cana-3827	361	15	and	and	CCONJ
cana-3827	361	16	auc	auc	NOUN
cana-3827	361	17	highlights	highlight	NOUN
cana-3827	361	18	the	the	DET
cana-3827	361	19	rf	rf	ADJ
cana-3827	361	20	-	-	PUNCT
cana-3827	361	21	pca	pca	NOUN
cana-3827	361	22	model	model	NOUN
cana-3827	361	23	's	's	PART
cana-3827	361	24	proficiency	proficiency	NOUN
cana-3827	361	25	in	in	ADP
cana-3827	361	26	predicting	predict	VERB
cana-3827	361	27	skill	skill	NOUN
cana-3827	361	28	sets	set	NOUN
cana-3827	361	29	.	.	PUNCT
cana-3827	362	1	figures	figure	NOUN
cana-3827	362	2	9,10	9,10	NUM
cana-3827	362	3	and	and	CCONJ
cana-3827	362	4	11	11	NUM
cana-3827	362	5	visually	visually	ADV
cana-3827	362	6	depict	depict	VERB
cana-3827	362	7	the	the	DET
cana-3827	362	8	comparison	comparison	NOUN
cana-3827	362	9	of	of	ADP
cana-3827	362	10	the	the	DET
cana-3827	362	11	proposed	propose	VERB
cana-3827	362	12	model	model	NOUN
cana-3827	362	13	with	with	ADP
cana-3827	362	14	others	other	NOUN
cana-3827	362	15	in	in	ADP
cana-3827	362	16	predicting	predict	VERB
cana-3827	362	17	soft	soft	ADJ
cana-3827	362	18	skills	skill	NOUN
cana-3827	362	19	,	,	PUNCT
cana-3827	362	20	life	life	NOUN
cana-3827	362	21	skills	skill	NOUN
cana-3827	362	22	,	,	PUNCT
cana-3827	362	23	and	and	CCONJ
cana-3827	362	24	technical	technical	ADJ
cana-3827	362	25	skills	skill	NOUN
cana-3827	362	26	,	,	PUNCT
cana-3827	362	27	showcasing	showcase	VERB
cana-3827	362	28	its	its	PRON
cana-3827	362	29	superior	superior	ADJ
cana-3827	362	30	performance	performance	NOUN
cana-3827	362	31	across	across	ADP
cana-3827	362	32	these	these	DET
cana-3827	362	33	metrics	metric	NOUN
cana-3827	362	34	.	.	PUNCT
cana-3827	363	1	the	the	DET
cana-3827	363	2	results	result	NOUN
cana-3827	363	3	from	from	ADP
cana-3827	363	4	the	the	DET
cana-3827	363	5	figures	figure	NOUN
cana-3827	363	6	unmistakably	unmistakably	ADV
cana-3827	363	7	indicate	indicate	VERB
cana-3827	363	8	the	the	DET
cana-3827	363	9	rf	rf	ADJ
cana-3827	363	10	-	-	ADJ
cana-3827	363	11	pca	pca	NOUN
cana-3827	363	12	model	model	NOUN
cana-3827	363	13	's	's	PART
cana-3827	363	14	outperformance	outperformance	NOUN
cana-3827	363	15	compared	compare	VERB
cana-3827	363	16	to	to	ADP
cana-3827	363	17	alternative	alternative	ADJ
cana-3827	363	18	models	model	NOUN
cana-3827	363	19	.	.	PUNCT
cana-3827	364	1	the	the	DET
cana-3827	364	2	figures	figure	NOUN
cana-3827	364	3	clearly	clearly	ADV
cana-3827	364	4	show	show	VERB
cana-3827	364	5	that	that	SCONJ
cana-3827	364	6	the	the	DET
cana-3827	364	7	suggested	suggest	VERB
cana-3827	364	8	rf	rf	ADJ
cana-3827	364	9	-	-	ADJ
cana-3827	364	10	pca	pca	ADJ
cana-3827	364	11	model	model	NOUN
cana-3827	364	12	outperforms	outperform	VERB
cana-3827	364	13	other	other	ADJ
cana-3827	364	14	models	model	NOUN
cana-3827	364	15	.	.	PUNCT
cana-3827	365	1	the	the	DET
cana-3827	365	2	findings	finding	NOUN
cana-3827	365	3	from	from	ADP
cana-3827	365	4	the	the	DET
cana-3827	365	5	figures	figure	NOUN
cana-3827	365	6	unmistakably	unmistakably	ADV
cana-3827	365	7	indicate	indicate	VERB
cana-3827	365	8	the	the	DET
cana-3827	365	9	rf	rf	ADJ
cana-3827	365	10	-	-	ADJ
cana-3827	365	11	pca	pca	NOUN
cana-3827	365	12	model	model	NOUN
cana-3827	365	13	's	's	PART
cana-3827	365	14	outperformance	outperformance	NOUN
cana-3827	365	15	compared	compare	VERB
cana-3827	365	16	to	to	ADP
cana-3827	365	17	alternative	alternative	ADJ
cana-3827	365	18	models	model	NOUN
cana-3827	365	19	.	.	PUNCT
cana-3827	366	1	communications	communication	NOUN
cana-3827	366	2	on	on	ADP
cana-3827	366	3	applied	apply	VERB
cana-3827	366	4	nonlinear	nonlinear	ADJ
cana-3827	366	5	analysis	analysis	NOUN
cana-3827	366	6	issn	issn	NOUN
cana-3827	366	7	:	:	PUNCT
cana-3827	366	8	1074	1074	NUM
cana-3827	366	9	-	-	PUNCT
cana-3827	366	10	133x	133x	NUM
cana-3827	366	11	vol	vol	NOUN
cana-3827	366	12	32	32	NUM
cana-3827	366	13	no	no	NOUN
cana-3827	366	14	.	.	PUNCT
cana-3827	367	1	8s	8s	PROPN
cana-3827	367	2	(	(	PUNCT
cana-3827	367	3	2025	2025	NUM
cana-3827	367	4	)	)	PUNCT
cana-3827	367	5	863	863	NUM
cana-3827	367	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3827	367	7	figure	figure	NOUN
cana-3827	367	8	9	9	NUM
cana-3827	367	9	:	:	PUNCT
cana-3827	367	10	accuracy	accuracy	NOUN
cana-3827	367	11	values	value	NOUN
cana-3827	367	12	for	for	ADP
cana-3827	367	13	prediction	prediction	NOUN
cana-3827	367	14	of	of	ADP
cana-3827	367	15	soft	soft	ADJ
cana-3827	367	16	skills	skill	NOUN
cana-3827	367	17	figure	figure	NOUN
cana-3827	367	18	10	10	NUM
cana-3827	367	19	:	:	PUNCT
cana-3827	367	20	accuracy	accuracy	NOUN
cana-3827	367	21	values	value	NOUN
cana-3827	367	22	for	for	ADP
cana-3827	367	23	the	the	DET
cana-3827	367	24	prediction	prediction	NOUN
cana-3827	367	25	of	of	ADP
cana-3827	367	26	life	life	NOUN
cana-3827	367	27	skills	skill	NOUN
cana-3827	367	28	figure	figure	VERB
cana-3827	367	29	11	11	NUM
cana-3827	367	30	:	:	PUNCT
cana-3827	367	31	accuracy	accuracy	NOUN
cana-3827	367	32	values	value	NOUN
cana-3827	367	33	for	for	ADP
cana-3827	367	34	prediction	prediction	NOUN
cana-3827	367	35	of	of	ADP
cana-3827	367	36	technical	technical	ADJ
cana-3827	367	37	skills	skill	NOUN
cana-3827	367	38	6.6	6.6	NUM
cana-3827	367	39	interpretability	interpretability	NOUN
cana-3827	367	40	of	of	ADP
cana-3827	367	41	the	the	DET
cana-3827	367	42	proposed	propose	VERB
cana-3827	367	43	model	model	NOUN
cana-3827	367	44	using	use	VERB
cana-3827	367	45	ale	ale	NOUN
cana-3827	367	46	accumulated	accumulate	VERB
cana-3827	367	47	local	local	ADJ
cana-3827	367	48	effects	effect	NOUN
cana-3827	367	49	(	(	PUNCT
cana-3827	367	50	ale	ale	NOUN
cana-3827	367	51	)	)	PUNCT
cana-3827	367	52	explains	explain	VERB
cana-3827	367	53	how	how	SCONJ
cana-3827	367	54	the	the	DET
cana-3827	367	55	predictions	prediction	NOUN
cana-3827	367	56	of	of	ADP
cana-3827	367	57	the	the	DET
cana-3827	367	58	random	random	ADJ
cana-3827	367	59	forest	forest	NOUN
cana-3827	367	60	model	model	NOUN
cana-3827	367	61	are	be	AUX
cana-3827	367	62	influenced	influence	VERB
cana-3827	367	63	by	by	ADP
cana-3827	367	64	the	the	DET
cana-3827	367	65	pca	pca	PROPN
cana-3827	367	66	components	component	NOUN
cana-3827	367	67	,	,	PUNCT
cana-3827	367	68	which	which	PRON
cana-3827	367	69	are	be	AUX
cana-3827	367	70	linear	linear	ADJ
cana-3827	367	71	combinations	combination	NOUN
cana-3827	367	72	of	of	ADP
cana-3827	367	73	the	the	DET
cana-3827	367	74	original	original	ADJ
cana-3827	367	75	features	feature	NOUN
cana-3827	367	76	.	.	PUNCT
cana-3827	368	1	ale	ale	NOUN
cana-3827	368	2	isolates	isolate	VERB
cana-3827	368	3	the	the	DET
cana-3827	368	4	effects	effect	NOUN
cana-3827	368	5	of	of	ADP
cana-3827	368	6	each	each	DET
cana-3827	368	7	pca	pca	NOUN
cana-3827	368	8	component	component	NOUN
cana-3827	368	9	by	by	ADP
cana-3827	368	10	averaging	average	VERB
cana-3827	368	11	the	the	DET
cana-3827	368	12	changes	change	NOUN
cana-3827	368	13	in	in	ADP
cana-3827	368	14	the	the	DET
cana-3827	368	15	model	model	NOUN
cana-3827	368	16	’s	’s	PART
cana-3827	368	17	predictions	prediction	NOUN
cana-3827	368	18	when	when	SCONJ
cana-3827	368	19	the	the	DET
cana-3827	368	20	value	value	NOUN
cana-3827	368	21	of	of	ADP
cana-3827	368	22	each	each	DET
cana-3827	368	23	component	component	NOUN
cana-3827	368	24	is	be	AUX
cana-3827	368	25	varied	varied	ADJ
cana-3827	368	26	within	within	ADP
cana-3827	368	27	predetermined	predetermine	VERB
cana-3827	368	28	intervals	interval	NOUN
cana-3827	368	29	,	,	PUNCT
cana-3827	368	30	while	while	SCONJ
cana-3827	368	31	keeping	keep	VERB
cana-3827	368	32	other	other	ADJ
cana-3827	368	33	components	component	NOUN
cana-3827	368	34	constant	constant	ADJ
cana-3827	368	35	.	.	PUNCT
cana-3827	369	1	this	this	DET
cana-3827	369	2	approach	approach	NOUN
cana-3827	369	3	ensures	ensure	VERB
cana-3827	369	4	that	that	SCONJ
cana-3827	369	5	the	the	DET
cana-3827	369	6	impact	impact	NOUN
cana-3827	369	7	of	of	ADP
cana-3827	369	8	each	each	DET
cana-3827	369	9	component	component	NOUN
cana-3827	369	10	is	be	AUX
cana-3827	369	11	evaluated	evaluate	VERB
cana-3827	369	12	independently	independently	ADV
cana-3827	369	13	.	.	PUNCT
cana-3827	370	1	the	the	DET
cana-3827	370	2	findings	finding	NOUN
cana-3827	370	3	reveal	reveal	VERB
cana-3827	370	4	the	the	DET
cana-3827	370	5	relationship	relationship	NOUN
cana-3827	370	6	between	between	ADP
cana-3827	370	7	pca	pca	PROPN
cana-3827	370	8	components	component	NOUN
cana-3827	370	9	and	and	CCONJ
cana-3827	370	10	model	model	NOUN
cana-3827	370	11	predictions	prediction	NOUN
cana-3827	370	12	,	,	PUNCT
cana-3827	370	13	offering	offer	VERB
cana-3827	370	14	insights	insight	NOUN
cana-3827	370	15	into	into	ADP
cana-3827	370	16	how	how	SCONJ
cana-3827	370	17	different	different	ADJ
cana-3827	370	18	aspects	aspect	NOUN
cana-3827	370	19	of	of	ADP
cana-3827	370	20	data	datum	NOUN
cana-3827	370	21	variance	variance	NOUN
cana-3827	370	22	contribute	contribute	VERB
cana-3827	370	23	to	to	ADP
cana-3827	370	24	the	the	DET
cana-3827	370	25	skill	skill	NOUN
cana-3827	370	26	set	set	VERB
cana-3827	370	27	predictions	prediction	NOUN
cana-3827	370	28	.	.	PUNCT
cana-3827	371	1	figure	figure	NOUN
cana-3827	371	2	12	12	NUM
cana-3827	371	3	:	:	PUNCT
cana-3827	371	4	ale	ale	NOUN
cana-3827	371	5	plot	plot	NOUN
cana-3827	371	6	for	for	ADP
cana-3827	371	7	soft	soft	ADJ
cana-3827	371	8	skills	skill	NOUN
cana-3827	371	9	communications	communication	NOUN
cana-3827	371	10	on	on	ADP
cana-3827	371	11	applied	apply	VERB
cana-3827	371	12	nonlinear	nonlinear	ADJ
cana-3827	371	13	analysis	analysis	NOUN
cana-3827	371	14	issn	issn	NOUN
cana-3827	371	15	:	:	PUNCT
cana-3827	371	16	1074	1074	NUM
cana-3827	371	17	-	-	PUNCT
cana-3827	371	18	133x	133x	NUM
cana-3827	371	19	vol	vol	NOUN
cana-3827	371	20	32	32	NUM
cana-3827	371	21	no	no	NOUN
cana-3827	371	22	.	.	PUNCT
cana-3827	372	1	8s	8s	PROPN
cana-3827	372	2	(	(	PUNCT
cana-3827	372	3	2025	2025	NUM
cana-3827	372	4	)	)	PUNCT
cana-3827	372	5	864	864	NUM
cana-3827	372	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3827	372	7	figure	figure	NOUN
cana-3827	372	8	13	13	NUM
cana-3827	372	9	:	:	PUNCT
cana-3827	372	10	ale	ale	NOUN
cana-3827	372	11	plot	plot	NOUN
cana-3827	372	12	for	for	ADP
cana-3827	372	13	life	life	NOUN
cana-3827	372	14	skills	skill	NOUN
cana-3827	372	15	figure	figure	VERB
cana-3827	372	16	14	14	NUM
cana-3827	372	17	:	:	PUNCT
cana-3827	372	18	ale	ale	NOUN
cana-3827	372	19	plot	plot	NOUN
cana-3827	372	20	for	for	ADP
cana-3827	372	21	technical	technical	ADJ
cana-3827	372	22	skills	skill	NOUN
cana-3827	372	23	plotting	plot	VERB
cana-3827	372	24	the	the	DET
cana-3827	372	25	ale	ale	NOUN
cana-3827	372	26	for	for	ADP
cana-3827	372	27	each	each	DET
cana-3827	372	28	pca	pca	NOUN
cana-3827	372	29	component	component	NOUN
cana-3827	372	30	for	for	ADP
cana-3827	372	31	soft	soft	ADJ
cana-3827	372	32	,	,	PUNCT
cana-3827	372	33	life	life	NOUN
cana-3827	372	34	,	,	PUNCT
cana-3827	372	35	and	and	CCONJ
cana-3827	372	36	technical	technical	ADJ
cana-3827	372	37	skills	skill	NOUN
cana-3827	372	38	is	be	AUX
cana-3827	372	39	illustrated	illustrate	VERB
cana-3827	372	40	in	in	ADP
cana-3827	372	41	figures	figure	NOUN
cana-3827	372	42	12	12	NUM
cana-3827	372	43	,	,	PUNCT
cana-3827	372	44	13	13	NUM
cana-3827	372	45	,	,	PUNCT
cana-3827	372	46	and	and	CCONJ
cana-3827	372	47	14	14	NUM
cana-3827	372	48	.	.	PUNCT
cana-3827	373	1	pca	pca	NOUN
cana-3827	373	2	components	component	NOUN
cana-3827	373	3	with	with	ADP
cana-3827	373	4	clear	clear	ADJ
cana-3827	373	5	and	and	CCONJ
cana-3827	373	6	consistent	consistent	ADJ
cana-3827	373	7	patterns	pattern	NOUN
cana-3827	373	8	,	,	PUNCT
cana-3827	373	9	such	such	ADJ
cana-3827	373	10	as	as	ADP
cana-3827	373	11	pca1	pca1	NOUN
cana-3827	373	12	and	and	CCONJ
cana-3827	373	13	pca4	pca4	ADJ
cana-3827	373	14	,	,	PUNCT
cana-3827	373	15	exhibit	exhibit	VERB
cana-3827	373	16	trends	trend	NOUN
cana-3827	373	17	that	that	PRON
cana-3827	373	18	are	be	AUX
cana-3827	373	19	straightforward	straightforward	ADJ
cana-3827	373	20	to	to	PART
cana-3827	373	21	interpret	interpret	VERB
cana-3827	373	22	and	and	CCONJ
cana-3827	373	23	likely	likely	ADV
cana-3827	373	24	play	play	VERB
cana-3827	373	25	a	a	DET
cana-3827	373	26	significant	significant	ADJ
cana-3827	373	27	role	role	NOUN
cana-3827	373	28	in	in	ADP
cana-3827	373	29	accurately	accurately	ADV
cana-3827	373	30	predicting	predict	VERB
cana-3827	373	31	soft	soft	ADJ
cana-3827	373	32	skills	skill	NOUN
cana-3827	373	33	.	.	PUNCT
cana-3827	374	1	the	the	DET
cana-3827	374	2	model	model	NOUN
cana-3827	374	3	's	's	PART
cana-3827	374	4	predictions	prediction	NOUN
cana-3827	374	5	are	be	AUX
cana-3827	374	6	consistently	consistently	ADV
cana-3827	374	7	and	and	CCONJ
cana-3827	374	8	significantly	significantly	ADV
cana-3827	374	9	influenced	influence	VERB
cana-3827	374	10	by	by	ADP
cana-3827	374	11	components	component	NOUN
cana-3827	374	12	like	like	ADP
cana-3827	374	13	pca2	pca2	NOUN
cana-3827	374	14	and	and	CCONJ
cana-3827	374	15	pca6	pca6	PROPN
cana-3827	374	16	,	,	PUNCT
cana-3827	374	17	emphasizing	emphasize	VERB
cana-3827	374	18	their	their	PRON
cana-3827	374	19	importance	importance	NOUN
cana-3827	374	20	in	in	ADP
cana-3827	374	21	correctly	correctly	ADV
cana-3827	374	22	predicting	predict	VERB
cana-3827	374	23	life	life	NOUN
cana-3827	374	24	skills	skill	NOUN
cana-3827	374	25	.	.	PUNCT
cana-3827	375	1	pca3	pca3	PROPN
cana-3827	375	2	and	and	CCONJ
cana-3827	375	3	pca7	pca7	PROPN
cana-3827	375	4	display	display	NOUN
cana-3827	375	5	notable	notable	ADJ
cana-3827	375	6	trends	trend	NOUN
cana-3827	375	7	and	and	CCONJ
cana-3827	375	8	variations	variation	NOUN
cana-3827	375	9	,	,	PUNCT
cana-3827	375	10	indicating	indicate	VERB
cana-3827	375	11	their	their	PRON
cana-3827	375	12	strong	strong	ADJ
cana-3827	375	13	influence	influence	NOUN
cana-3827	375	14	in	in	ADP
cana-3827	375	15	accurately	accurately	ADV
cana-3827	375	16	forecasting	forecast	VERB
cana-3827	375	17	technical	technical	ADJ
cana-3827	375	18	skills	skill	NOUN
cana-3827	375	19	.	.	PUNCT
cana-3827	376	1	ale	ale	NOUN
cana-3827	376	2	curves	curve	NOUN
cana-3827	376	3	with	with	ADP
cana-3827	376	4	positive	positive	ADJ
cana-3827	376	5	slopes	slope	NOUN
cana-3827	376	6	indicate	indicate	VERB
cana-3827	376	7	that	that	SCONJ
cana-3827	376	8	increasing	increase	VERB
cana-3827	376	9	the	the	DET
cana-3827	376	10	value	value	NOUN
cana-3827	376	11	of	of	ADP
cana-3827	376	12	the	the	DET
cana-3827	376	13	component	component	NOUN
cana-3827	376	14	enhances	enhance	VERB
cana-3827	376	15	the	the	DET
cana-3827	376	16	likelihood	likelihood	NOUN
cana-3827	376	17	of	of	ADP
cana-3827	376	18	predicting	predict	VERB
cana-3827	376	19	a	a	DET
cana-3827	376	20	specific	specific	ADJ
cana-3827	376	21	class	class	NOUN
cana-3827	376	22	,	,	PUNCT
cana-3827	376	23	whereas	whereas	SCONJ
cana-3827	376	24	curves	curve	NOUN
cana-3827	376	25	with	with	ADP
cana-3827	376	26	negative	negative	ADJ
cana-3827	376	27	slopes	slope	NOUN
cana-3827	376	28	suggest	suggest	VERB
cana-3827	376	29	the	the	DET
cana-3827	376	30	opposite	opposite	ADJ
cana-3827	376	31	effect	effect	NOUN
cana-3827	376	32	.	.	PUNCT
cana-3827	377	1	when	when	SCONJ
cana-3827	377	2	combined	combine	VERB
cana-3827	377	3	with	with	ADP
cana-3827	377	4	pca	pca	NOUN
cana-3827	377	5	loadings	loading	NOUN
cana-3827	377	6	,	,	PUNCT
cana-3827	377	7	this	this	PRON
cana-3827	377	8	provides	provide	VERB
cana-3827	377	9	a	a	DET
cana-3827	377	10	comprehensive	comprehensive	ADJ
cana-3827	377	11	interpretation	interpretation	NOUN
cana-3827	377	12	of	of	ADP
cana-3827	377	13	feature	feature	NOUN
cana-3827	377	14	importance	importance	NOUN
cana-3827	377	15	and	and	CCONJ
cana-3827	377	16	model	model	NOUN
cana-3827	377	17	behavior	behavior	NOUN
cana-3827	377	18	by	by	ADP
cana-3827	377	19	pinpointing	pinpoint	VERB
cana-3827	377	20	the	the	DET
cana-3827	377	21	original	original	ADJ
cana-3827	377	22	features	feature	NOUN
cana-3827	377	23	that	that	PRON
cana-3827	377	24	contribute	contribute	VERB
cana-3827	377	25	most	most	ADV
cana-3827	377	26	to	to	ADP
cana-3827	377	27	influential	influential	ADJ
cana-3827	377	28	components	component	NOUN
cana-3827	377	29	.	.	PUNCT
cana-3827	378	1	the	the	DET
cana-3827	378	2	plot	plot	NOUN
cana-3827	378	3	of	of	ADP
cana-3827	378	4	ale	ale	NOUN
cana-3827	378	5	for	for	ADP
cana-3827	378	6	all	all	DET
cana-3827	378	7	pca	pca	NOUN
cana-3827	378	8	components	component	NOUN
cana-3827	378	9	in	in	ADP
cana-3827	378	10	soft	soft	ADJ
cana-3827	378	11	,	,	PUNCT
cana-3827	378	12	life	life	NOUN
cana-3827	378	13	,	,	PUNCT
cana-3827	378	14	and	and	CCONJ
cana-3827	378	15	technical	technical	ADJ
cana-3827	378	16	skills	skill	NOUN
cana-3827	378	17	is	be	AUX
cana-3827	378	18	shown	show	VERB
cana-3827	378	19	in	in	ADP
cana-3827	378	20	figure	figure	NOUN
cana-3827	378	21	15	15	NUM
cana-3827	378	22	.	.	PUNCT
cana-3827	379	1	each	each	DET
cana-3827	379	2	original	original	ADJ
cana-3827	379	3	feature	feature	NOUN
cana-3827	379	4	's	's	PART
cana-3827	379	5	contribution	contribution	NOUN
cana-3827	379	6	to	to	ADP
cana-3827	379	7	each	each	DET
cana-3827	379	8	pca	pca	NOUN
cana-3827	379	9	component	component	NOUN
cana-3827	379	10	is	be	AUX
cana-3827	379	11	visually	visually	ADV
cana-3827	379	12	represented	represent	VERB
cana-3827	379	13	in	in	ADP
cana-3827	379	14	the	the	DET
cana-3827	379	15	pca	pca	NOUN
cana-3827	379	16	loadings	loading	NOUN
cana-3827	379	17	heatmap	heatmap	NOUN
cana-3827	379	18	where	where	SCONJ
cana-3827	379	19	color	color	NOUN
cana-3827	379	20	intensity	intensity	NOUN
cana-3827	379	21	signifies	signify	VERB
cana-3827	379	22	the	the	DET
cana-3827	379	23	magnitude	magnitude	NOUN
cana-3827	379	24	and	and	CCONJ
cana-3827	379	25	direction	direction	NOUN
cana-3827	379	26	of	of	ADP
cana-3827	379	27	the	the	DET
cana-3827	379	28	contribution	contribution	NOUN
cana-3827	379	29	.	.	PUNCT
cana-3827	380	1	these	these	DET
cana-3827	380	2	heatmaps	heatmap	NOUN
cana-3827	380	3	facilitate	facilitate	VERB
cana-3827	380	4	the	the	DET
cana-3827	380	5	interpretation	interpretation	NOUN
cana-3827	380	6	of	of	ADP
cana-3827	380	7	how	how	SCONJ
cana-3827	380	8	specific	specific	ADJ
cana-3827	380	9	features	feature	NOUN
cana-3827	380	10	affect	affect	VERB
cana-3827	380	11	the	the	DET
cana-3827	380	12	model	model	NOUN
cana-3827	380	13	's	's	PART
cana-3827	380	14	predictions	prediction	NOUN
cana-3827	380	15	through	through	ADP
cana-3827	380	16	pca	pca	NOUN
cana-3827	380	17	components	component	NOUN
cana-3827	380	18	.	.	PUNCT
cana-3827	381	1	when	when	SCONJ
cana-3827	381	2	paired	pair	VERB
cana-3827	381	3	with	with	ADP
cana-3827	381	4	ale	ale	NOUN
cana-3827	381	5	analysis	analysis	NOUN
cana-3827	381	6	,	,	PUNCT
cana-3827	381	7	the	the	DET
cana-3827	381	8	heatmap	heatmap	NOUN
cana-3827	381	9	traces	trace	VERB
cana-3827	381	10	these	these	DET
cana-3827	381	11	components	component	NOUN
cana-3827	381	12	back	back	ADV
cana-3827	381	13	communications	communication	NOUN
cana-3827	381	14	on	on	ADP
cana-3827	381	15	applied	apply	VERB
cana-3827	381	16	nonlinear	nonlinear	ADJ
cana-3827	381	17	analysis	analysis	NOUN
cana-3827	381	18	issn	issn	NOUN
cana-3827	381	19	:	:	PUNCT
cana-3827	381	20	1074	1074	NUM
cana-3827	381	21	-	-	PUNCT
cana-3827	381	22	133x	133x	NUM
cana-3827	381	23	vol	vol	NOUN
cana-3827	381	24	32	32	NUM
cana-3827	381	25	no	no	NOUN
cana-3827	381	26	.	.	PUNCT
cana-3827	382	1	8s	8s	PROPN
cana-3827	382	2	(	(	PUNCT
cana-3827	382	3	2025	2025	NUM
cana-3827	382	4	)	)	PUNCT
cana-3827	382	5	865	865	NUM
cana-3827	382	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3827	382	7	to	to	ADP
cana-3827	382	8	the	the	DET
cana-3827	382	9	original	original	ADJ
cana-3827	382	10	features	feature	NOUN
cana-3827	382	11	.	.	PUNCT
cana-3827	383	1	while	while	SCONJ
cana-3827	383	2	ale	ale	NOUN
cana-3827	383	3	calculates	calculate	VERB
cana-3827	383	4	the	the	DET
cana-3827	383	5	impact	impact	NOUN
cana-3827	383	6	of	of	ADP
cana-3827	383	7	changes	change	NOUN
cana-3827	383	8	in	in	ADP
cana-3827	383	9	each	each	DET
cana-3827	383	10	pca	pca	NOUN
cana-3827	383	11	component	component	NOUN
cana-3827	383	12	on	on	ADP
cana-3827	383	13	predictions	prediction	NOUN
cana-3827	383	14	,	,	PUNCT
cana-3827	383	15	the	the	DET
cana-3827	383	16	heatmap	heatmap	NOUN
cana-3827	383	17	identifies	identify	VERB
cana-3827	383	18	which	which	PRON
cana-3827	383	19	original	original	ADJ
cana-3827	383	20	features	feature	NOUN
cana-3827	383	21	are	be	AUX
cana-3827	383	22	most	most	ADV
cana-3827	383	23	influential	influential	ADJ
cana-3827	383	24	.	.	PUNCT
cana-3827	384	1	together	together	ADV
cana-3827	384	2	,	,	PUNCT
cana-3827	384	3	they	they	PRON
cana-3827	384	4	illustrate	illustrate	VERB
cana-3827	384	5	the	the	DET
cana-3827	384	6	importance	importance	NOUN
cana-3827	384	7	of	of	ADP
cana-3827	384	8	the	the	DET
cana-3827	384	9	transformed	transform	VERB
cana-3827	384	10	components	component	NOUN
cana-3827	384	11	to	to	ADP
cana-3827	384	12	the	the	DET
cana-3827	384	13	model	model	NOUN
cana-3827	384	14	and	and	CCONJ
cana-3827	384	15	reveal	reveal	VERB
cana-3827	384	16	how	how	SCONJ
cana-3827	384	17	the	the	DET
cana-3827	384	18	original	original	ADJ
cana-3827	384	19	features	feature	NOUN
cana-3827	384	20	indirectly	indirectly	ADV
cana-3827	384	21	influence	influence	VERB
cana-3827	384	22	predictions	prediction	NOUN
cana-3827	384	23	by	by	ADP
cana-3827	384	24	contributing	contribute	VERB
cana-3827	384	25	to	to	ADP
cana-3827	384	26	key	key	ADJ
cana-3827	384	27	pca	pca	NOUN
cana-3827	384	28	components	component	NOUN
cana-3827	384	29	.	.	PUNCT
cana-3827	385	1	figure	figure	VERB
cana-3827	385	2	15	15	NUM
cana-3827	385	3	:	:	PUNCT
cana-3827	385	4	plot	plot	NOUN
cana-3827	385	5	ale	ale	NOUN
cana-3827	385	6	for	for	ADP
cana-3827	385	7	all	all	DET
cana-3827	385	8	pca	pca	NOUN
cana-3827	385	9	components	component	NOUN
cana-3827	385	10	in	in	ADP
cana-3827	385	11	soft	soft	ADJ
cana-3827	385	12	,	,	PUNCT
cana-3827	385	13	life	life	NOUN
cana-3827	385	14	,	,	PUNCT
cana-3827	385	15	and	and	CCONJ
cana-3827	385	16	technical	technical	ADJ
cana-3827	385	17	skills	skill	NOUN
cana-3827	385	18	7.conclusion	7.conclusion	NUM
cana-3827	385	19	and	and	CCONJ
cana-3827	385	20	future	future	ADJ
cana-3827	385	21	works	work	NOUN
cana-3827	385	22	this	this	DET
cana-3827	385	23	proposed	propose	VERB
cana-3827	385	24	study	study	NOUN
cana-3827	385	25	predicts	predict	VERB
cana-3827	385	26	students	student	NOUN
cana-3827	385	27	'	'	PART
cana-3827	385	28	skill	skill	NOUN
cana-3827	385	29	sets	set	NOUN
cana-3827	385	30	,	,	PUNCT
cana-3827	385	31	including	include	VERB
cana-3827	385	32	soft	soft	ADJ
cana-3827	385	33	,	,	PUNCT
cana-3827	385	34	life	life	NOUN
cana-3827	385	35	,	,	PUNCT
cana-3827	385	36	and	and	CCONJ
cana-3827	385	37	technical	technical	ADJ
cana-3827	385	38	skills	skill	NOUN
cana-3827	385	39	,	,	PUNCT
cana-3827	385	40	using	use	VERB
cana-3827	385	41	a	a	DET
cana-3827	385	42	random	random	ADJ
cana-3827	385	43	forest	forest	NOUN
cana-3827	385	44	model	model	NOUN
cana-3827	385	45	combined	combine	VERB
cana-3827	385	46	with	with	ADP
cana-3827	385	47	the	the	DET
cana-3827	385	48	pca	pca	PROPN
cana-3827	385	49	approach	approach	NOUN
cana-3827	385	50	and	and	CCONJ
cana-3827	385	51	ale	ale	NOUN
cana-3827	385	52	.	.	PUNCT
cana-3827	386	1	the	the	DET
cana-3827	386	2	performance	performance	NOUN
cana-3827	386	3	of	of	ADP
cana-3827	386	4	the	the	DET
cana-3827	386	5	proposed	propose	VERB
cana-3827	386	6	model	model	NOUN
cana-3827	386	7	is	be	AUX
cana-3827	386	8	compared	compare	VERB
cana-3827	386	9	with	with	ADP
cana-3827	386	10	machine	machine	NOUN
cana-3827	386	11	learning	learn	VERB
cana-3827	386	12	techniques	technique	NOUN
cana-3827	386	13	,	,	PUNCT
cana-3827	386	14	including	include	VERB
cana-3827	386	15	logistic	logistic	ADJ
cana-3827	386	16	regression	regression	NOUN
cana-3827	386	17	,	,	PUNCT
cana-3827	386	18	decision	decision	NOUN
cana-3827	386	19	trees	tree	NOUN
cana-3827	386	20	,	,	PUNCT
cana-3827	386	21	and	and	CCONJ
cana-3827	386	22	support	support	VERB
cana-3827	386	23	vector	vector	NOUN
cana-3827	386	24	machines	machine	NOUN
cana-3827	386	25	.	.	PUNCT
cana-3827	387	1	experimental	experimental	ADJ
cana-3827	387	2	results	result	NOUN
cana-3827	387	3	indicate	indicate	VERB
cana-3827	387	4	that	that	SCONJ
cana-3827	387	5	the	the	DET
cana-3827	387	6	random	random	ADJ
cana-3827	387	7	forest	forest	NOUN
cana-3827	387	8	model	model	NOUN
cana-3827	387	9	with	with	ADP
cana-3827	387	10	pca	pca	PROPN
cana-3827	387	11	demonstrates	demonstrate	VERB
cana-3827	387	12	significant	significant	ADJ
cana-3827	387	13	generalization	generalization	NOUN
cana-3827	387	14	capabilities	capability	NOUN
cana-3827	387	15	and	and	CCONJ
cana-3827	387	16	outperforms	outperform	VERB
cana-3827	387	17	baseline	baseline	ADJ
cana-3827	387	18	approaches	approach	NOUN
cana-3827	387	19	in	in	ADP
cana-3827	387	20	accurately	accurately	ADV
cana-3827	387	21	forecasting	forecast	VERB
cana-3827	387	22	computer	computer	NOUN
cana-3827	387	23	science	science	NOUN
cana-3827	387	24	students	student	NOUN
cana-3827	387	25	'	'	PART
cana-3827	387	26	software	software	NOUN
cana-3827	387	27	engineering	engineering	NOUN
cana-3827	387	28	talents	talent	NOUN
cana-3827	387	29	.	.	PUNCT
cana-3827	388	1	the	the	DET
cana-3827	388	2	use	use	NOUN
cana-3827	388	3	of	of	ADP
cana-3827	388	4	ale	ale	NOUN
cana-3827	388	5	in	in	ADP
cana-3827	388	6	rf	rf	NOUN
cana-3827	388	7	-	-	NOUN
cana-3827	388	8	pca	pca	NOUN
cana-3827	388	9	provides	provide	VERB
cana-3827	388	10	a	a	DET
cana-3827	388	11	clear	clear	ADJ
cana-3827	388	12	interpretation	interpretation	NOUN
cana-3827	388	13	of	of	ADP
cana-3827	388	14	how	how	SCONJ
cana-3827	388	15	pca	pca	NOUN
cana-3827	388	16	components	component	NOUN
cana-3827	388	17	,	,	PUNCT
cana-3827	388	18	derived	derive	VERB
cana-3827	388	19	from	from	ADP
cana-3827	388	20	original	original	ADJ
cana-3827	388	21	features	feature	NOUN
cana-3827	388	22	,	,	PUNCT
cana-3827	388	23	influence	influence	VERB
cana-3827	388	24	the	the	DET
cana-3827	388	25	predictions	prediction	NOUN
cana-3827	388	26	of	of	ADP
cana-3827	388	27	a	a	DET
cana-3827	388	28	random	random	ADJ
cana-3827	388	29	forest	forest	NOUN
cana-3827	388	30	model	model	NOUN
cana-3827	388	31	.	.	PUNCT
cana-3827	389	1	ale	ale	NOUN
cana-3827	389	2	enhances	enhance	VERB
cana-3827	389	3	the	the	DET
cana-3827	389	4	explainability	explainability	NOUN
cana-3827	389	5	of	of	ADP
cana-3827	389	6	complex	complex	ADJ
cana-3827	389	7	models	model	NOUN
cana-3827	389	8	by	by	ADP
cana-3827	389	9	isolating	isolate	VERB
cana-3827	389	10	the	the	DET
cana-3827	389	11	impact	impact	NOUN
cana-3827	389	12	of	of	ADP
cana-3827	389	13	each	each	DET
cana-3827	389	14	pca	pca	NOUN
cana-3827	389	15	component	component	NOUN
cana-3827	389	16	and	and	CCONJ
cana-3827	389	17	linking	link	VERB
cana-3827	389	18	them	they	PRON
cana-3827	389	19	to	to	ADP
cana-3827	389	20	the	the	DET
cana-3827	389	21	original	original	ADJ
cana-3827	389	22	features	feature	NOUN
cana-3827	389	23	using	use	VERB
cana-3827	389	24	pca	pca	NOUN
cana-3827	389	25	loadings	loading	NOUN
cana-3827	389	26	.	.	PUNCT
cana-3827	390	1	this	this	DET
cana-3827	390	2	combination	combination	NOUN
cana-3827	390	3	retains	retain	VERB
cana-3827	390	4	the	the	DET
cana-3827	390	5	advantages	advantage	NOUN
cana-3827	390	6	of	of	ADP
cana-3827	390	7	pca	pca	NOUN
cana-3827	390	8	's	's	PART
cana-3827	390	9	dimensionality	dimensionality	NOUN
cana-3827	390	10	reduction	reduction	NOUN
cana-3827	390	11	while	while	SCONJ
cana-3827	390	12	enabling	enable	VERB
cana-3827	390	13	a	a	DET
cana-3827	390	14	deeper	deep	ADJ
cana-3827	390	15	understanding	understanding	NOUN
cana-3827	390	16	of	of	ADP
cana-3827	390	17	feature	feature	NOUN
cana-3827	390	18	relevance	relevance	NOUN
cana-3827	390	19	and	and	CCONJ
cana-3827	390	20	helping	helping	AUX
cana-3827	390	21	identify	identify	VERB
cana-3827	390	22	key	key	ADJ
cana-3827	390	23	factors	factor	NOUN
cana-3827	390	24	influencing	influence	VERB
cana-3827	390	25	model	model	NOUN
cana-3827	390	26	decisions	decision	NOUN
cana-3827	390	27	.	.	PUNCT
cana-3827	391	1	the	the	DET
cana-3827	391	2	study	study	NOUN
cana-3827	391	3	aims	aim	VERB
cana-3827	391	4	to	to	PART
cana-3827	391	5	identify	identify	VERB
cana-3827	391	6	skill	skill	NOUN
cana-3827	391	7	gaps	gap	NOUN
cana-3827	391	8	among	among	ADP
cana-3827	391	9	students	student	NOUN
cana-3827	391	10	,	,	PUNCT
cana-3827	391	11	promote	promote	VERB
cana-3827	391	12	skill	skill	NOUN
cana-3827	391	13	-	-	PUNCT
cana-3827	391	14	based	base	VERB
cana-3827	391	15	education	education	NOUN
cana-3827	391	16	in	in	ADP
cana-3827	391	17	software	software	NOUN
cana-3827	391	18	engineering	engineering	NOUN
cana-3827	391	19	programs	program	NOUN
cana-3827	391	20	,	,	PUNCT
cana-3827	391	21	and	and	CCONJ
cana-3827	391	22	better	well	ADV
cana-3827	391	23	prepare	prepare	VERB
cana-3827	391	24	students	student	NOUN
cana-3827	391	25	for	for	ADP
cana-3827	391	26	the	the	DET
cana-3827	391	27	workforce	workforce	NOUN
cana-3827	391	28	while	while	SCONJ
cana-3827	391	29	bridging	bridge	VERB
cana-3827	391	30	the	the	DET
cana-3827	391	31	knowledge	knowledge	NOUN
cana-3827	391	32	gap	gap	NOUN
cana-3827	391	33	between	between	ADP
cana-3827	391	34	academia	academia	NOUN
cana-3827	391	35	and	and	CCONJ
cana-3827	391	36	the	the	DET
cana-3827	391	37	software	software	NOUN
cana-3827	391	38	industry	industry	NOUN
cana-3827	391	39	.	.	PUNCT
cana-3827	392	1	through	through	ADP
cana-3827	392	2	skillset	skillset	NOUN
cana-3827	392	3	prediction	prediction	NOUN
cana-3827	392	4	and	and	CCONJ
cana-3827	392	5	assessment	assessment	NOUN
cana-3827	392	6	,	,	PUNCT
cana-3827	392	7	this	this	DET
cana-3827	392	8	study	study	NOUN
cana-3827	392	9	seeks	seek	VERB
cana-3827	392	10	to	to	PART
cana-3827	392	11	identify	identify	VERB
cana-3827	392	12	students	student	NOUN
cana-3827	392	13	with	with	ADP
cana-3827	392	14	high	high	ADJ
cana-3827	392	15	competence	competence	NOUN
cana-3827	392	16	levels	level	NOUN
cana-3827	392	17	to	to	PART
cana-3827	392	18	improve	improve	VERB
cana-3827	392	19	the	the	DET
cana-3827	392	20	teaching	teaching	NOUN
cana-3827	392	21	-	-	PUNCT
cana-3827	392	22	learning	learn	VERB
cana-3827	392	23	process	process	NOUN
cana-3827	392	24	.	.	PUNCT
cana-3827	393	1	this	this	DET
cana-3827	393	2	approach	approach	NOUN
cana-3827	393	3	greatly	greatly	ADV
cana-3827	393	4	benefits	benefit	VERB
cana-3827	393	5	educators	educator	NOUN
cana-3827	393	6	and	and	CCONJ
cana-3827	393	7	students	student	NOUN
cana-3827	393	8	by	by	ADP
cana-3827	393	9	providing	provide	VERB
cana-3827	393	10	insights	insight	NOUN
cana-3827	393	11	into	into	ADP
cana-3827	393	12	both	both	CCONJ
cana-3827	393	13	technical	technical	ADJ
cana-3827	393	14	and	and	CCONJ
cana-3827	393	15	cognitive	cognitive	ADJ
cana-3827	393	16	abilities	ability	NOUN
cana-3827	393	17	.	.	PUNCT
cana-3827	394	1	it	it	PRON
cana-3827	394	2	fosters	foster	VERB
cana-3827	394	3	a	a	DET
cana-3827	394	4	culture	culture	NOUN
cana-3827	394	5	of	of	ADP
cana-3827	394	6	deeper	deep	ADJ
cana-3827	394	7	understanding	understanding	NOUN
cana-3827	394	8	,	,	PUNCT
cana-3827	394	9	empowering	empower	VERB
cana-3827	394	10	students	student	NOUN
cana-3827	394	11	to	to	PART
cana-3827	394	12	critically	critically	ADV
cana-3827	394	13	evaluate	evaluate	VERB
cana-3827	394	14	their	their	PRON
cana-3827	394	15	work	work	NOUN
cana-3827	394	16	and	and	CCONJ
cana-3827	394	17	take	take	VERB
cana-3827	394	18	greater	great	ADJ
cana-3827	394	19	ownership	ownership	NOUN
cana-3827	394	20	of	of	ADP
cana-3827	394	21	communications	communication	NOUN
cana-3827	394	22	on	on	ADP
cana-3827	394	23	applied	apply	VERB
cana-3827	394	24	nonlinear	nonlinear	ADJ
cana-3827	394	25	analysis	analysis	NOUN
cana-3827	394	26	issn	issn	NOUN
cana-3827	394	27	:	:	PUNCT
cana-3827	394	28	1074	1074	NUM
cana-3827	394	29	-	-	PUNCT
cana-3827	394	30	133x	133x	NUM
cana-3827	394	31	vol	vol	NOUN
cana-3827	394	32	32	32	NUM
cana-3827	394	33	no	no	NOUN
cana-3827	394	34	.	.	PUNCT
cana-3827	395	1	8s	8s	PROPN
cana-3827	395	2	(	(	PUNCT
cana-3827	395	3	2025	2025	NUM
cana-3827	395	4	)	)	PUNCT
cana-3827	395	5	866	866	NUM
cana-3827	395	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3827	395	7	their	their	PRON
cana-3827	395	8	education	education	NOUN
cana-3827	395	9	.	.	PUNCT
cana-3827	396	1	this	this	DET
cana-3827	396	2	method	method	NOUN
cana-3827	396	3	offers	offer	VERB
cana-3827	396	4	a	a	DET
cana-3827	396	5	more	more	ADV
cana-3827	396	6	accurate	accurate	ADJ
cana-3827	396	7	and	and	CCONJ
cana-3827	396	8	comprehensive	comprehensive	ADJ
cana-3827	396	9	analysis	analysis	NOUN
cana-3827	396	10	than	than	ADP
cana-3827	396	11	traditional	traditional	ADJ
cana-3827	396	12	evaluation	evaluation	NOUN
cana-3827	396	13	techniques	technique	NOUN
cana-3827	396	14	,	,	PUNCT
cana-3827	396	15	enabling	enable	VERB
cana-3827	396	16	businesses	business	NOUN
cana-3827	396	17	and	and	CCONJ
cana-3827	396	18	educational	educational	ADJ
cana-3827	396	19	institutions	institution	NOUN
cana-3827	396	20	to	to	PART
cana-3827	396	21	select	select	VERB
cana-3827	396	22	and	and	CCONJ
cana-3827	396	23	develop	develop	VERB
cana-3827	396	24	proficient	proficient	ADJ
cana-3827	396	25	software	software	NOUN
cana-3827	396	26	engineers	engineer	NOUN
cana-3827	396	27	with	with	ADP
cana-3827	396	28	enhanced	enhanced	ADJ
cana-3827	396	29	expertise	expertise	NOUN
cana-3827	396	30	.	.	PUNCT
cana-3827	397	1	educators	educator	NOUN
cana-3827	397	2	also	also	ADV
cana-3827	397	3	gain	gain	VERB
cana-3827	397	4	a	a	DET
cana-3827	397	5	better	well	ADJ
cana-3827	397	6	understanding	understanding	NOUN
cana-3827	397	7	of	of	ADP
cana-3827	397	8	students	student	NOUN
cana-3827	397	9	'	'	PART
cana-3827	397	10	personalities	personality	NOUN
cana-3827	397	11	and	and	CCONJ
cana-3827	397	12	strengths	strength	NOUN
cana-3827	397	13	,	,	PUNCT
cana-3827	397	14	facilitating	facilitate	VERB
cana-3827	397	15	more	more	ADJ
cana-3827	397	16	personalized	personalized	ADJ
cana-3827	397	17	instruction	instruction	NOUN
cana-3827	397	18	.	.	PUNCT
cana-3827	398	1	although	although	SCONJ
cana-3827	398	2	the	the	DET
cana-3827	398	3	study	study	NOUN
cana-3827	398	4	's	's	PART
cana-3827	398	5	objectives	objective	NOUN
cana-3827	398	6	of	of	ADP
cana-3827	398	7	promoting	promote	VERB
cana-3827	398	8	skill	skill	NOUN
cana-3827	398	9	-	-	PUNCT
cana-3827	398	10	based	base	VERB
cana-3827	398	11	learning	learning	NOUN
cana-3827	398	12	and	and	CCONJ
cana-3827	398	13	aligning	align	VERB
cana-3827	398	14	education	education	NOUN
cana-3827	398	15	with	with	ADP
cana-3827	398	16	market	market	NOUN
cana-3827	398	17	demands	demand	NOUN
cana-3827	398	18	are	be	AUX
cana-3827	398	19	achieved	achieve	VERB
cana-3827	398	20	,	,	PUNCT
cana-3827	398	21	there	there	PRON
cana-3827	398	22	are	be	VERB
cana-3827	398	23	some	some	DET
cana-3827	398	24	limitations	limitation	NOUN
cana-3827	398	25	.	.	PUNCT
cana-3827	399	1	for	for	ADP
cana-3827	399	2	example	example	NOUN
cana-3827	399	3	,	,	PUNCT
cana-3827	399	4	the	the	DET
cana-3827	399	5	model	model	NOUN
cana-3827	399	6	primarily	primarily	ADV
cana-3827	399	7	relies	rely	VERB
cana-3827	399	8	on	on	ADP
cana-3827	399	9	the	the	DET
cana-3827	399	10	combination	combination	NOUN
cana-3827	399	11	of	of	ADP
cana-3827	399	12	pca	pca	NOUN
cana-3827	399	13	and	and	CCONJ
cana-3827	399	14	random	random	ADJ
cana-3827	399	15	forest	forest	NOUN
cana-3827	399	16	,	,	PUNCT
cana-3827	399	17	which	which	PRON
cana-3827	399	18	,	,	PUNCT
cana-3827	399	19	while	while	SCONJ
cana-3827	399	20	effective	effective	ADJ
cana-3827	399	21	,	,	PUNCT
cana-3827	399	22	may	may	AUX
cana-3827	399	23	not	not	PART
cana-3827	399	24	capture	capture	VERB
cana-3827	399	25	intricate	intricate	ADJ
cana-3827	399	26	correlations	correlation	NOUN
cana-3827	399	27	as	as	ADV
cana-3827	399	28	well	well	ADV
cana-3827	399	29	as	as	ADP
cana-3827	399	30	more	more	ADV
cana-3827	399	31	advanced	advanced	ADJ
cana-3827	399	32	methods	method	NOUN
cana-3827	399	33	like	like	ADP
cana-3827	399	34	deep	deep	ADJ
cana-3827	399	35	learning	learning	NOUN
cana-3827	399	36	.	.	PUNCT
cana-3827	400	1	additionally	additionally	ADV
cana-3827	400	2	,	,	PUNCT
cana-3827	400	3	focusing	focus	VERB
cana-3827	400	4	on	on	ADP
cana-3827	400	5	a	a	DET
cana-3827	400	6	limited	limited	ADJ
cana-3827	400	7	set	set	NOUN
cana-3827	400	8	of	of	ADP
cana-3827	400	9	skills	skill	NOUN
cana-3827	400	10	(	(	PUNCT
cana-3827	400	11	soft	soft	ADJ
cana-3827	400	12	,	,	PUNCT
cana-3827	400	13	life	life	NOUN
cana-3827	400	14	,	,	PUNCT
cana-3827	400	15	and	and	CCONJ
cana-3827	400	16	technical	technical	ADJ
cana-3827	400	17	skills	skill	NOUN
cana-3827	400	18	)	)	PUNCT
cana-3827	400	19	may	may	AUX
cana-3827	400	20	overlook	overlook	VERB
cana-3827	400	21	other	other	ADJ
cana-3827	400	22	critical	critical	ADJ
cana-3827	400	23	abilities	ability	NOUN
cana-3827	400	24	such	such	ADJ
cana-3827	400	25	as	as	ADP
cana-3827	400	26	creativity	creativity	NOUN
cana-3827	400	27	or	or	CCONJ
cana-3827	400	28	adaptability	adaptability	NOUN
cana-3827	400	29	.	.	PUNCT
cana-3827	401	1	furthermore	furthermore	ADV
cana-3827	401	2	,	,	PUNCT
cana-3827	401	3	this	this	DET
cana-3827	401	4	study	study	NOUN
cana-3827	401	5	did	do	AUX
cana-3827	401	6	not	not	PART
cana-3827	401	7	explore	explore	VERB
cana-3827	401	8	the	the	DET
cana-3827	401	9	model	model	NOUN
cana-3827	401	10	's	's	PART
cana-3827	401	11	adaptability	adaptability	NOUN
cana-3827	401	12	to	to	ADP
cana-3827	401	13	disciplines	discipline	NOUN
cana-3827	401	14	outside	outside	ADP
cana-3827	401	15	software	software	NOUN
cana-3827	401	16	engineering	engineering	NOUN
cana-3827	401	17	or	or	CCONJ
cana-3827	401	18	its	its	PRON
cana-3827	401	19	scalability	scalability	NOUN
cana-3827	401	20	across	across	ADP
cana-3827	401	21	diverse	diverse	ADJ
cana-3827	401	22	student	student	NOUN
cana-3827	401	23	demographics	demographic	NOUN
cana-3827	401	24	.	.	PUNCT
cana-3827	402	1	future	future	ADJ
cana-3827	402	2	advancements	advancement	NOUN
cana-3827	402	3	could	could	AUX
cana-3827	402	4	include	include	VERB
cana-3827	402	5	incorporating	incorporate	VERB
cana-3827	402	6	deep	deep	ADJ
cana-3827	402	7	learning	learning	NOUN
cana-3827	402	8	-	-	PUNCT
cana-3827	402	9	based	base	VERB
cana-3827	402	10	feature	feature	NOUN
cana-3827	402	11	extraction	extraction	NOUN
cana-3827	402	12	and	and	CCONJ
cana-3827	402	13	prediction	prediction	NOUN
cana-3827	402	14	algorithms	algorithm	NOUN
cana-3827	402	15	to	to	PART
cana-3827	402	16	improve	improve	VERB
cana-3827	402	17	the	the	DET
cana-3827	402	18	precision	precision	NOUN
cana-3827	402	19	and	and	CCONJ
cana-3827	402	20	robustness	robustness	NOUN
cana-3827	402	21	of	of	ADP
cana-3827	402	22	skillset	skillset	ADJ
cana-3827	402	23	predictions	prediction	NOUN
cana-3827	402	24	.	.	PUNCT
cana-3827	403	1	expanding	expand	VERB
cana-3827	403	2	the	the	DET
cana-3827	403	3	scope	scope	NOUN
cana-3827	403	4	to	to	PART
cana-3827	403	5	include	include	VERB
cana-3827	403	6	a	a	DET
cana-3827	403	7	broader	broad	ADJ
cana-3827	403	8	range	range	NOUN
cana-3827	403	9	of	of	ADP
cana-3827	403	10	skills	skill	NOUN
cana-3827	403	11	and	and	CCONJ
cana-3827	403	12	testing	test	VERB
cana-3827	403	13	the	the	DET
cana-3827	403	14	model	model	NOUN
cana-3827	403	15	on	on	ADP
cana-3827	403	16	larger	large	ADJ
cana-3827	403	17	datasets	dataset	NOUN
cana-3827	403	18	would	would	AUX
cana-3827	403	19	also	also	ADV
cana-3827	403	20	enhance	enhance	VERB
cana-3827	403	21	its	its	PRON
cana-3827	403	22	generalizability	generalizability	NOUN
cana-3827	403	23	.	.	PUNCT
cana-3827	404	1	despite	despite	SCONJ
cana-3827	404	2	these	these	DET
cana-3827	404	3	limitations	limitation	NOUN
cana-3827	404	4	,	,	PUNCT
cana-3827	404	5	the	the	DET
cana-3827	404	6	study	study	NOUN
cana-3827	404	7	represents	represent	VERB
cana-3827	404	8	a	a	DET
cana-3827	404	9	significant	significant	ADJ
cana-3827	404	10	step	step	NOUN
cana-3827	404	11	in	in	ADP
cana-3827	404	12	leveraging	leverage	VERB
cana-3827	404	13	skillfocused	skillfocuse	VERB
cana-3827	404	14	assessments	assessment	NOUN
cana-3827	404	15	to	to	PART
cana-3827	404	16	bridge	bridge	VERB
cana-3827	404	17	the	the	DET
cana-3827	404	18	knowledge	knowledge	NOUN
cana-3827	404	19	gap	gap	NOUN
cana-3827	404	20	between	between	ADP
cana-3827	404	21	academia	academia	NOUN
cana-3827	404	22	and	and	CCONJ
cana-3827	404	23	industry	industry	NOUN
cana-3827	404	24	.	.	PUNCT
cana-3827	405	1	refrences	refrence	VERB
cana-3827	406	1	[	[	X
cana-3827	406	2	1	1	X
cana-3827	406	3	]	]	PUNCT
cana-3827	406	4	mahanti	mahanti	X
cana-3827	406	5	r	r	PROPN
cana-3827	406	6	,	,	PUNCT
cana-3827	406	7	mahanti	mahanti	X
cana-3827	406	8	pk	pk	PROPN
cana-3827	406	9	.	.	PROPN
cana-3827	406	10	software	software	NOUN
cana-3827	406	11	engineering	engineering	NOUN
cana-3827	406	12	education	education	NOUN
cana-3827	406	13	from	from	ADP
cana-3827	406	14	indian	indian	PROPN
cana-3827	406	15	perspective	perspective	NOUN
cana-3827	406	16	.	.	PUNCT
cana-3827	407	1	in18th	in18th	NOUN
cana-3827	407	2	conference	conference	NOUN
cana-3827	407	3	on	on	ADP
cana-3827	407	4	software	software	NOUN
cana-3827	407	5	engineering	engineering	NOUN
cana-3827	407	6	education	education	NOUN
cana-3827	407	7	&	&	CCONJ
cana-3827	407	8	training	training	NOUN
cana-3827	407	9	(	(	PUNCT
cana-3827	407	10	cseet'05	cseet'05	PROPN
cana-3827	407	11	)	)	PUNCT
cana-3827	407	12	2005	2005	NUM
cana-3827	407	13	apr	apr	NOUN
cana-3827	407	14	18	18	NUM
cana-3827	407	15	(	(	PUNCT
cana-3827	407	16	pp	pp	ADJ
cana-3827	407	17	.	.	PUNCT
cana-3827	408	1	111	111	NUM
cana-3827	408	2	-	-	SYM
cana-3827	408	3	117	117	NUM
cana-3827	408	4	)	)	PUNCT
cana-3827	408	5	.	.	PUNCT
cana-3827	409	1	ieee	ieee	NOUN
cana-3827	409	2	.	.	PUNCT
cana-3827	410	1	[	[	X
cana-3827	410	2	2	2	NUM
cana-3827	410	3	]	]	PUNCT
cana-3827	410	4	belzer	belzer	PROPN
cana-3827	410	5	k.	k.	PROPN
cana-3827	410	6	project	project	PROPN
cana-3827	410	7	management	management	NOUN
cana-3827	410	8	:	:	PUNCT
cana-3827	410	9	still	still	ADV
cana-3827	410	10	more	more	ADJ
cana-3827	410	11	art	art	NOUN
cana-3827	410	12	than	than	ADP
cana-3827	410	13	science	science	NOUN
cana-3827	410	14	.	.	PUNCT
cana-3827	411	1	inpm	inpm	PROPN
cana-3827	411	2	forum	forum	PROPN
cana-3827	411	3	featured	feature	VERB
cana-3827	411	4	papers	paper	NOUN
cana-3827	411	5	2001	2001	NUM
cana-3827	411	6	(	(	PUNCT
cana-3827	411	7	pp	pp	ADJ
cana-3827	411	8	.	.	PUNCT
cana-3827	412	1	1	1	NUM
cana-3827	412	2	-	-	SYM
cana-3827	412	3	6	6	NUM
cana-3827	412	4	)	)	PUNCT
cana-3827	412	5	.	.	PUNCT
cana-3827	413	1	[	[	X
cana-3827	413	2	3	3	X
cana-3827	413	3	]	]	PUNCT
cana-3827	413	4	cihan	cihan	NOUN
cana-3827	413	5	p	p	NOUN
cana-3827	413	6	,	,	PUNCT
cana-3827	413	7	kalıpsız	kalıpsız	ADJ
cana-3827	413	8	o.	o.	NOUN
cana-3827	413	9	evaluation	evaluation	NOUN
cana-3827	413	10	of	of	ADP
cana-3827	413	11	students	student	NOUN
cana-3827	413	12	'	'	PART
cana-3827	413	13	skills	skill	NOUN
cana-3827	413	14	in	in	ADP
cana-3827	413	15	software	software	NOUN
cana-3827	413	16	project	project	NOUN
cana-3827	413	17	.	.	PUNCT
cana-3827	414	1	tem	tem	PROPN
cana-3827	414	2	journal	journal	PROPN
cana-3827	414	3	.	.	PUNCT
cana-3827	415	1	2014	2014	NUM
cana-3827	415	2	feb	feb	NOUN
cana-3827	415	3	1;3(1	1;3(1	NUM
cana-3827	415	4	)	)	PUNCT
cana-3827	415	5	.	.	PUNCT
cana-3827	416	1	[	[	X
cana-3827	416	2	4	4	NUM
cana-3827	416	3	]	]	PUNCT
cana-3827	416	4	sunindijo	sunindijo	PROPN
cana-3827	416	5	ry	ry	PROPN
cana-3827	416	6	.	.	PROPN
cana-3827	416	7	project	project	NOUN
cana-3827	416	8	manager	manager	NOUN
cana-3827	416	9	skills	skill	VERB
cana-3827	416	10	for	for	ADP
cana-3827	416	11	improving	improve	VERB
cana-3827	416	12	project	project	NOUN
cana-3827	416	13	performance	performance	NOUN
cana-3827	416	14	.	.	PUNCT
cana-3827	417	1	international	international	ADJ
cana-3827	417	2	journal	journal	PROPN
cana-3827	417	3	of	of	ADP
cana-3827	417	4	business	business	NOUN
cana-3827	417	5	performance	performance	NOUN
cana-3827	417	6	management	management	NOUN
cana-3827	417	7	.	.	PUNCT
cana-3827	418	1	2015	2015	NUM
cana-3827	418	2	jan	jan	PROPN
cana-3827	418	3	1;16(1):67	1;16(1):67	NUM
cana-3827	418	4	-	-	SYM
cana-3827	418	5	83	83	NUM
cana-3827	418	6	.	.	PUNCT
cana-3827	419	1	[	[	X
cana-3827	419	2	5	5	NUM
cana-3827	419	3	]	]	PUNCT
cana-3827	419	4	sventekova	sventekova	X
cana-3827	419	5	e	e	NOUN
cana-3827	419	6	,	,	PUNCT
cana-3827	419	7	lovecek	lovecek	NOUN
cana-3827	419	8	t.	t.	PROPN
cana-3827	419	9	project	project	NOUN
cana-3827	419	10	-	-	PUNCT
cana-3827	419	11	based	base	VERB
cana-3827	419	12	teaching	teaching	NOUN
cana-3827	419	13	,	,	PUNCT
cana-3827	419	14	practice	practice	NOUN
cana-3827	419	15	in	in	ADP
cana-3827	419	16	the	the	DET
cana-3827	419	17	academic	academic	ADJ
cana-3827	419	18	environment	environment	NOUN
cana-3827	419	19	.	.	PUNCT
cana-3827	420	1	inlatest	inlatest	NOUN
cana-3827	420	2	advances	advance	NOUN
cana-3827	420	3	in	in	ADP
cana-3827	420	4	educational	educational	ADJ
cana-3827	420	5	technologies	technology	NOUN
cana-3827	420	6	:	:	PUNCT
cana-3827	420	7	proceedings	proceeding	NOUN
cana-3827	420	8	of	of	ADP
cana-3827	420	9	the	the	DET
cana-3827	420	10	11th	11th	ADJ
cana-3827	420	11	wseas	wseas	NOUN
cana-3827	420	12	international	international	ADJ
cana-3827	420	13	conference	conference	NOUN
cana-3827	420	14	on	on	ADP
cana-3827	420	15	education	education	NOUN
cana-3827	420	16	and	and	CCONJ
cana-3827	420	17	educational	educational	ADJ
cana-3827	420	18	technology	technology	NOUN
cana-3827	420	19	(	(	PUNCT
cana-3827	420	20	edu	edu	PROPN
cana-3827	420	21	12	12	NUM
cana-3827	420	22	):	):	PUNCT
cana-3827	420	23	singapore	singapore	PROPN
cana-3827	420	24	city	city	PROPN
cana-3827	420	25	,	,	PUNCT
cana-3827	420	26	singapore	singapore	PROPN
cana-3827	420	27	2012	2012	NUM
cana-3827	420	28	may	may	AUX
cana-3827	420	29	11	11	NUM
cana-3827	420	30	.	.	PUNCT
cana-3827	421	1	[	[	X
cana-3827	421	2	6	6	NUM
cana-3827	421	3	]	]	PUNCT
cana-3827	421	4	cihan	cihan	NOUN
cana-3827	421	5	p	p	NOUN
cana-3827	421	6	,	,	PUNCT
cana-3827	421	7	kalıpsiz	kalıpsiz	ADV
cana-3827	421	8	o.	o.	NOUN
cana-3827	421	9	assessing	assess	VERB
cana-3827	421	10	the	the	DET
cana-3827	421	11	human	human	ADJ
cana-3827	421	12	factors	factor	NOUN
cana-3827	421	13	in	in	ADP
cana-3827	421	14	software	software	NOUN
cana-3827	421	15	development	development	NOUN
cana-3827	421	16	courses	course	NOUN
cana-3827	421	17	students	student	NOUN
cana-3827	421	18	project	project	VERB
cana-3827	421	19	.	.	PUNCT
cana-3827	422	1	international	international	ADJ
cana-3827	422	2	conferance	conferance	NOUN
cana-3827	422	3	on	on	ADP
cana-3827	422	4	education	education	NOUN
cana-3827	422	5	and	and	CCONJ
cana-3827	422	6	educational	educational	ADJ
cana-3827	422	7	technologies	technology	NOUN
cana-3827	422	8	.	.	PUNCT
cana-3827	423	1	2013	2013	NUM
cana-3827	423	2	.	.	PUNCT
cana-3827	424	1	[	[	X
cana-3827	424	2	7	7	NUM
cana-3827	424	3	]	]	PUNCT
cana-3827	424	4	begel	begel	NOUN
cana-3827	424	5	a	a	PRON
cana-3827	424	6	,	,	PUNCT
cana-3827	424	7	simon	simon	PROPN
cana-3827	424	8	b.	b.	PROPN
cana-3827	424	9	struggles	struggles	PROPN
cana-3827	424	10	of	of	ADP
cana-3827	424	11	new	new	ADJ
cana-3827	424	12	college	college	NOUN
cana-3827	424	13	graduates	graduate	NOUN
cana-3827	424	14	in	in	ADP
cana-3827	424	15	their	their	PRON
cana-3827	424	16	first	first	ADJ
cana-3827	424	17	software	software	NOUN
cana-3827	424	18	development	development	NOUN
cana-3827	424	19	job	job	NOUN
cana-3827	424	20	.	.	PUNCT
cana-3827	425	1	inproceedings	inproceeding	NOUN
cana-3827	425	2	of	of	ADP
cana-3827	425	3	the	the	DET
cana-3827	425	4	39th	39th	ADJ
cana-3827	425	5	sigcse	sigcse	NOUN
cana-3827	425	6	technical	technical	ADJ
cana-3827	425	7	symposium	symposium	NOUN
cana-3827	425	8	on	on	ADP
cana-3827	425	9	computer	computer	NOUN
cana-3827	425	10	science	science	NOUN
cana-3827	425	11	education	education	NOUN
cana-3827	425	12	2008	2008	NUM
cana-3827	425	13	mar	mar	PROPN
cana-3827	425	14	12	12	NUM
cana-3827	425	15	(	(	PUNCT
cana-3827	425	16	pp	pp	ADJ
cana-3827	425	17	.	.	PUNCT
cana-3827	426	1	226	226	NUM
cana-3827	426	2	-	-	SYM
cana-3827	426	3	230	230	NUM
cana-3827	426	4	)	)	PUNCT
cana-3827	426	5	.	.	PUNCT
cana-3827	427	1	[	[	X
cana-3827	427	2	8	8	NUM
cana-3827	427	3	]	]	PUNCT
cana-3827	427	4	begel	begel	NOUN
cana-3827	427	5	a	a	PRON
cana-3827	427	6	,	,	PUNCT
cana-3827	427	7	simon	simon	PROPN
cana-3827	427	8	b.	b.	PROPN
cana-3827	427	9	novice	novice	PROPN
cana-3827	427	10	software	software	NOUN
cana-3827	427	11	developers	developer	NOUN
cana-3827	427	12	,	,	PUNCT
cana-3827	427	13	all	all	ADV
cana-3827	427	14	over	over	ADV
cana-3827	427	15	again	again	ADV
cana-3827	427	16	.	.	PUNCT
cana-3827	428	1	inproceedings	inproceeding	NOUN
cana-3827	428	2	of	of	ADP
cana-3827	428	3	the	the	DET
cana-3827	428	4	fourth	fourth	ADJ
cana-3827	428	5	international	international	ADJ
cana-3827	428	6	workshop	workshop	NOUN
cana-3827	428	7	on	on	ADP
cana-3827	428	8	computing	compute	VERB
cana-3827	428	9	education	education	NOUN
cana-3827	428	10	research	research	NOUN
cana-3827	428	11	2008	2008	NUM
cana-3827	428	12	sep	sep	NOUN
cana-3827	428	13	6	6	NUM
cana-3827	428	14	(	(	PUNCT
cana-3827	428	15	pp	pp	ADJ
cana-3827	428	16	.	.	PUNCT
cana-3827	429	1	3	3	NUM
cana-3827	429	2	-	-	SYM
cana-3827	429	3	14	14	NUM
cana-3827	429	4	)	)	PUNCT
cana-3827	429	5	.	.	PUNCT
cana-3827	430	1	[	[	X
cana-3827	430	2	9	9	NUM
cana-3827	430	3	]	]	X
cana-3827	430	4	gnatz	gnatz	NOUN
cana-3827	430	5	m	m	PROPN
cana-3827	430	6	,	,	PUNCT
cana-3827	430	7	kof	kof	PROPN
cana-3827	430	8	l	l	PROPN
cana-3827	430	9	,	,	PUNCT
cana-3827	430	10	prilmeier	prilmeier	NOUN
cana-3827	430	11	f	f	PROPN
cana-3827	430	12	,	,	PUNCT
cana-3827	430	13	seifert	seifert	PROPN
cana-3827	430	14	t.	t.	PROPN
cana-3827	430	15	a	a	DET
cana-3827	430	16	practical	practical	ADJ
cana-3827	430	17	approach	approach	NOUN
cana-3827	430	18	of	of	ADP
cana-3827	430	19	teaching	teach	VERB
cana-3827	430	20	software	software	NOUN
cana-3827	430	21	engineering	engineering	NOUN
cana-3827	430	22	.	.	PUNCT
cana-3827	431	1	inproceedings	inproceeding	NOUN
cana-3827	431	2	16th	16th	ADJ
cana-3827	431	3	conference	conference	NOUN
cana-3827	431	4	on	on	ADP
cana-3827	431	5	software	software	NOUN
cana-3827	431	6	engineering	engineering	NOUN
cana-3827	431	7	education	education	NOUN
cana-3827	431	8	and	and	CCONJ
cana-3827	431	9	training	training	NOUN
cana-3827	431	10	,	,	PUNCT
cana-3827	431	11	2003.(csee&t	2003.(csee&t	NUM
cana-3827	431	12	2003	2003	NUM
cana-3827	431	13	)	)	PUNCT
cana-3827	431	14	.	.	PUNCT
cana-3827	432	1	2003	2003	NUM
cana-3827	432	2	mar	mar	PROPN
cana-3827	432	3	20	20	NUM
cana-3827	432	4	(	(	PUNCT
cana-3827	432	5	pp	pp	ADJ
cana-3827	432	6	.	.	PUNCT
cana-3827	433	1	120	120	NUM
cana-3827	433	2	-	-	SYM
cana-3827	433	3	128	128	NUM
cana-3827	433	4	)	)	PUNCT
cana-3827	433	5	.	.	PUNCT
cana-3827	434	1	ieee	ieee	NOUN
cana-3827	434	2	.	.	PUNCT
cana-3827	435	1	[	[	X
cana-3827	435	2	10	10	NUM
cana-3827	435	3	]	]	X
cana-3827	435	4	yeh	yeh	PROPN
cana-3827	435	5	rt	rt	AUX
cana-3827	435	6	.	.	PUNCT
cana-3827	435	7	educating	educate	VERB
cana-3827	435	8	future	future	ADJ
cana-3827	435	9	software	software	NOUN
cana-3827	435	10	engineers	engineer	NOUN
cana-3827	435	11	.	.	PUNCT
cana-3827	436	1	ieee	ieee	NOUN
cana-3827	436	2	transactions	transaction	NOUN
cana-3827	436	3	on	on	ADP
cana-3827	436	4	education	education	NOUN
cana-3827	436	5	.	.	PUNCT
cana-3827	437	1	2002	2002	NUM
cana-3827	437	2	feb;45(1):2	feb;45(1):2	NOUN
cana-3827	437	3	-	-	SYM
cana-3827	437	4	3	3	NUM
cana-3827	437	5	.	.	PUNCT
cana-3827	438	1	[	[	X
cana-3827	438	2	11	11	NUM
cana-3827	438	3	]	]	X
cana-3827	438	4	garcia	garcia	PROPN
cana-3827	439	1	i	i	PRON
cana-3827	439	2	,	,	PUNCT
cana-3827	439	3	pacheco	pacheco	PROPN
cana-3827	439	4	c	c	PROPN
cana-3827	439	5	,	,	PUNCT
cana-3827	439	6	coronel	coronel	PROPN
cana-3827	439	7	n.	n.	PROPN
cana-3827	439	8	learn	learn	VERB
cana-3827	439	9	from	from	ADP
cana-3827	439	10	practice	practice	NOUN
cana-3827	439	11	:	:	PUNCT
cana-3827	439	12	defining	define	VERB
cana-3827	439	13	an	an	DET
cana-3827	439	14	alternative	alternative	ADJ
cana-3827	439	15	model	model	NOUN
cana-3827	439	16	for	for	ADP
cana-3827	439	17	software	software	NOUN
cana-3827	439	18	engineering	engineering	NOUN
cana-3827	439	19	education	education	NOUN
cana-3827	439	20	in	in	ADP
cana-3827	439	21	mexican	mexican	ADJ
cana-3827	439	22	universities	university	NOUN
cana-3827	439	23	for	for	ADP
cana-3827	439	24	reducing	reduce	VERB
cana-3827	439	25	the	the	DET
cana-3827	439	26	breach	breach	NOUN
cana-3827	439	27	between	between	ADP
cana-3827	439	28	industry	industry	NOUN
cana-3827	439	29	and	and	CCONJ
cana-3827	439	30	academia	academia	NOUN
cana-3827	439	31	.	.	PUNCT
cana-3827	440	1	inproceedings	inproceeding	NOUN
cana-3827	440	2	of	of	ADP
cana-3827	440	3	the	the	DET
cana-3827	440	4	international	international	ADJ
cana-3827	440	5	conference	conference	NOUN
cana-3827	440	6	on	on	ADP
cana-3827	440	7	applied	apply	VERB
cana-3827	440	8	computer	computer	NOUN
cana-3827	440	9	science	science	NOUN
cana-3827	440	10	2010	2010	NUM
cana-3827	440	11	sep	sep	NOUN
cana-3827	440	12	15	15	NUM
cana-3827	440	13	(	(	PUNCT
cana-3827	440	14	pp	pp	ADJ
cana-3827	440	15	.	.	PUNCT
cana-3827	441	1	120	120	NUM
cana-3827	441	2	-	-	SYM
cana-3827	441	3	124	124	NUM
cana-3827	441	4	)	)	PUNCT
cana-3827	441	5	.	.	PUNCT
cana-3827	442	1	[	[	X
cana-3827	442	2	12	12	NUM
cana-3827	442	3	]	]	X
cana-3827	442	4	karunasekera	karunasekera	PROPN
cana-3827	442	5	s	s	PROPN
cana-3827	442	6	,	,	PUNCT
cana-3827	442	7	bedse	bedse	PROPN
cana-3827	442	8	k.	k.	PROPN
cana-3827	443	1	preparing	prepare	VERB
cana-3827	443	2	software	software	NOUN
cana-3827	443	3	engineering	engineering	NOUN
cana-3827	443	4	graduates	graduate	NOUN
cana-3827	443	5	for	for	ADP
cana-3827	443	6	an	an	DET
cana-3827	443	7	industry	industry	NOUN
cana-3827	443	8	career	career	NOUN
cana-3827	443	9	.	.	PUNCT
cana-3827	444	1	in20th	in20th	PROPN
cana-3827	444	2	conference	conference	NOUN
cana-3827	444	3	on	on	ADP
cana-3827	444	4	software	software	NOUN
cana-3827	444	5	engineering	engineering	NOUN
cana-3827	444	6	education	education	NOUN
cana-3827	444	7	&	&	CCONJ
cana-3827	444	8	training	training	NOUN
cana-3827	444	9	(	(	PUNCT
cana-3827	444	10	cseet'07	cseet'07	PROPN
cana-3827	444	11	)	)	PUNCT
cana-3827	444	12	2007	2007	NUM
cana-3827	444	13	jul	jul	NOUN
cana-3827	444	14	3	3	NUM
cana-3827	444	15	(	(	PUNCT
cana-3827	444	16	pp	pp	ADJ
cana-3827	444	17	.	.	PUNCT
cana-3827	445	1	97	97	NUM
cana-3827	445	2	-	-	SYM
cana-3827	445	3	106	106	NUM
cana-3827	445	4	)	)	PUNCT
cana-3827	445	5	.	.	PUNCT
cana-3827	446	1	ieee	ieee	PROPN
cana-3827	446	2	.	.	PUNCT
cana-3827	447	1	[	[	X
cana-3827	447	2	13	13	NUM
cana-3827	447	3	]	]	X
cana-3827	447	4	subrahmanyam	subrahmanyam	NOUN
cana-3827	447	5	gv	gv	PROPN
cana-3827	447	6	.	.	PUNCT
cana-3827	448	1	a	a	DET
cana-3827	448	2	dynamic	dynamic	ADJ
cana-3827	448	3	framework	framework	NOUN
cana-3827	448	4	for	for	ADP
cana-3827	448	5	software	software	NOUN
cana-3827	448	6	engineering	engineering	NOUN
cana-3827	448	7	education	education	NOUN
cana-3827	448	8	curriculum	curriculum	NOUN
cana-3827	448	9	to	to	PART
cana-3827	448	10	reduce	reduce	VERB
cana-3827	448	11	the	the	DET
cana-3827	448	12	gap	gap	NOUN
cana-3827	448	13	between	between	ADP
cana-3827	448	14	the	the	DET
cana-3827	448	15	software	software	NOUN
cana-3827	448	16	organizations	organization	NOUN
cana-3827	448	17	and	and	CCONJ
cana-3827	448	18	software	software	NOUN
cana-3827	448	19	educational	educational	ADJ
cana-3827	448	20	institutions	institution	NOUN
cana-3827	448	21	.	.	PUNCT
cana-3827	449	1	in2009	in2009	PROPN
cana-3827	449	2	22nd	22nd	PROPN
cana-3827	449	3	conference	conference	PROPN
cana-3827	449	4	on	on	ADP
cana-3827	449	5	software	software	NOUN
cana-3827	449	6	engineering	engineering	NOUN
cana-3827	449	7	education	education	NOUN
cana-3827	449	8	and	and	CCONJ
cana-3827	449	9	training	training	NOUN
cana-3827	449	10	2009	2009	NUM
cana-3827	449	11	feb	feb	NOUN
cana-3827	449	12	17	17	NUM
cana-3827	449	13	(	(	PUNCT
cana-3827	449	14	pp	pp	ADJ
cana-3827	449	15	.	.	PUNCT
cana-3827	450	1	248	248	NUM
cana-3827	450	2	-	-	SYM
cana-3827	450	3	254	254	NUM
cana-3827	450	4	)	)	PUNCT
cana-3827	450	5	.	.	PUNCT
cana-3827	451	1	ieee	ieee	PROPN
cana-3827	451	2	.	.	PUNCT
cana-3827	452	1	communications	communication	NOUN
cana-3827	452	2	on	on	ADP
cana-3827	452	3	applied	apply	VERB
cana-3827	452	4	nonlinear	nonlinear	ADJ
cana-3827	452	5	analysis	analysis	NOUN
cana-3827	452	6	issn	issn	NOUN
cana-3827	452	7	:	:	PUNCT
cana-3827	452	8	1074	1074	NUM
cana-3827	452	9	-	-	PUNCT
cana-3827	452	10	133x	133x	NUM
cana-3827	452	11	vol	vol	NOUN
cana-3827	452	12	32	32	NUM
cana-3827	452	13	no	no	NOUN
cana-3827	452	14	.	.	PUNCT
cana-3827	453	1	8s	8s	PROPN
cana-3827	453	2	(	(	PUNCT
cana-3827	453	3	2025	2025	NUM
cana-3827	453	4	)	)	PUNCT
cana-3827	453	5	867	867	NUM
cana-3827	453	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3827	454	1	[	[	X
cana-3827	454	2	14	14	NUM
cana-3827	454	3	]	]	X
cana-3827	454	4	mahmood	mahmood	PROPN
cana-3827	454	5	z.	z.	PROPN
cana-3827	454	6	a	a	DET
cana-3827	454	7	framework	framework	NOUN
cana-3827	454	8	for	for	ADP
cana-3827	454	9	software	software	NOUN
cana-3827	454	10	engineering	engineering	NOUN
cana-3827	454	11	education	education	NOUN
cana-3827	454	12	:	:	PUNCT
cana-3827	454	13	a	a	DET
cana-3827	454	14	group	group	NOUN
cana-3827	454	15	projects	project	NOUN
cana-3827	454	16	approach	approach	NOUN
cana-3827	454	17	.	.	PUNCT
cana-3827	455	1	international	international	ADJ
cana-3827	455	2	journal	journal	PROPN
cana-3827	455	3	of	of	ADP
cana-3827	455	4	education	education	NOUN
cana-3827	455	5	and	and	CCONJ
cana-3827	455	6	information	information	NOUN
cana-3827	455	7	technologies	technology	NOUN
cana-3827	455	8	–	–	PUNCT
cana-3827	455	9	powered	powered	ADJ
cana-3827	455	10	googledoc	googledoc	PROPN
cana-3827	455	11	journals	journal	NOUN
cana-3827	455	12	.	.	PUNCT
cana-3827	456	1	2007	2007	NUM
cana-3827	456	2	mar;1(3):153	mar;1(3):153	NOUN
cana-3827	456	3	-	-	PUNCT
cana-3827	456	4	6	6	NUM
cana-3827	456	5	.	.	PUNCT
cana-3827	457	1	[	[	X
cana-3827	457	2	15	15	NUM
cana-3827	457	3	]	]	X
cana-3827	457	4	iriarte	iriarte	NOUN
cana-3827	457	5	c	c	NOUN
cana-3827	457	6	,	,	PUNCT
cana-3827	457	7	bayona	bayona	PROPN
cana-3827	457	8	orè	orè	X
cana-3827	457	9	s.	s.	PROPN
cana-3827	457	10	soft	soft	ADJ
cana-3827	457	11	skills	skill	NOUN
cana-3827	457	12	for	for	ADP
cana-3827	457	13	it	it	PRON
cana-3827	457	14	project	project	NOUN
cana-3827	457	15	success	success	NOUN
cana-3827	457	16	:	:	PUNCT
cana-3827	457	17	a	a	DET
cana-3827	457	18	systematic	systematic	ADJ
cana-3827	457	19	literature	literature	NOUN
cana-3827	457	20	review	review	NOUN
cana-3827	457	21	.	.	PUNCT
cana-3827	458	1	intrends	intrend	NOUN
cana-3827	458	2	and	and	CCONJ
cana-3827	458	3	applications	application	NOUN
cana-3827	458	4	in	in	ADP
cana-3827	458	5	software	software	NOUN
cana-3827	458	6	engineering	engineering	NOUN
cana-3827	458	7	:	:	PUNCT
cana-3827	458	8	proceedings	proceeding	NOUN
cana-3827	458	9	of	of	ADP
cana-3827	458	10	the	the	DET
cana-3827	458	11	6th	6th	ADJ
cana-3827	458	12	international	international	ADJ
cana-3827	458	13	conference	conference	NOUN
cana-3827	458	14	on	on	ADP
cana-3827	458	15	software	software	NOUN
cana-3827	458	16	process	process	NOUN
cana-3827	458	17	improvement	improvement	NOUN
cana-3827	458	18	(	(	PUNCT
cana-3827	458	19	cimps	cimp	NOUN
cana-3827	458	20	2017	2017	NUM
cana-3827	458	21	)	)	PUNCT
cana-3827	458	22	6	6	NUM
cana-3827	458	23	2018	2018	NUM
cana-3827	458	24	(	(	PUNCT
cana-3827	458	25	pp	pp	ADJ
cana-3827	458	26	.	.	PUNCT
cana-3827	459	1	147	147	NUM
cana-3827	459	2	-	-	SYM
cana-3827	459	3	158	158	NUM
cana-3827	459	4	)	)	PUNCT
cana-3827	459	5	.	.	PUNCT
cana-3827	460	1	springer	springer	NOUN
cana-3827	460	2	international	international	ADJ
cana-3827	460	3	publishing	publishing	NOUN
cana-3827	460	4	.	.	PUNCT
cana-3827	461	1	[	[	X
cana-3827	461	2	16	16	NUM
cana-3827	461	3	]	]	X
cana-3827	461	4	peslak	peslak	PROPN
cana-3827	461	5	ar	ar	PROPN
cana-3827	461	6	.	.	PROPN
cana-3827	461	7	teaching	teach	VERB
cana-3827	461	8	software	software	NOUN
cana-3827	461	9	engineering	engineering	NOUN
cana-3827	461	10	through	through	ADP
cana-3827	461	11	collaborative	collaborative	ADJ
cana-3827	461	12	methods	method	NOUN
cana-3827	461	13	.	.	PUNCT
cana-3827	462	1	issues	issue	NOUN
cana-3827	462	2	in	in	ADP
cana-3827	462	3	information	information	NOUN
cana-3827	462	4	systems	system	NOUN
cana-3827	462	5	.	.	PUNCT
cana-3827	463	1	2004;5(1):24753	2004;5(1):24753	NUM
cana-3827	463	2	.	.	PUNCT
cana-3827	464	1	[	[	X
cana-3827	464	2	17	17	NUM
cana-3827	464	3	]	]	X
cana-3827	464	4	skulmoski	skulmoski	PROPN
cana-3827	464	5	gj	gj	PROPN
cana-3827	464	6	,	,	PUNCT
cana-3827	464	7	hartman	hartman	PROPN
cana-3827	464	8	ft	ft	PROPN
cana-3827	464	9	.	.	PROPN
cana-3827	464	10	information	information	NOUN
cana-3827	464	11	systems	system	NOUN
cana-3827	464	12	project	project	NOUN
cana-3827	464	13	manager	manager	NOUN
cana-3827	464	14	soft	soft	ADJ
cana-3827	464	15	competencies	competency	NOUN
cana-3827	464	16	:	:	PUNCT
cana-3827	464	17	a	a	DET
cana-3827	464	18	project‐phase	project‐phase	NOUN
cana-3827	464	19	investigation	investigation	NOUN
cana-3827	464	20	.	.	PUNCT
cana-3827	465	1	project	project	NOUN
cana-3827	465	2	management	management	NOUN
cana-3827	465	3	journal	journal	NOUN
cana-3827	465	4	.	.	PUNCT
cana-3827	466	1	2010	2010	NUM
cana-3827	466	2	mar;41(1):61	mar;41(1):61	NOUN
cana-3827	466	3	-	-	PUNCT
cana-3827	466	4	80	80	NUM
cana-3827	466	5	.	.	PUNCT
cana-3827	467	1	[	[	X
cana-3827	467	2	18	18	NUM
cana-3827	467	3	]	]	X
cana-3827	467	4	zaman	zaman	X
cana-3827	467	5	u	u	PROPN
cana-3827	467	6	,	,	PUNCT
cana-3827	467	7	jabbar	jabbar	PROPN
cana-3827	467	8	z	z	PROPN
cana-3827	467	9	,	,	PUNCT
cana-3827	467	10	nawaz	nawaz	PROPN
cana-3827	467	11	s	s	NOUN
cana-3827	467	12	,	,	PUNCT
cana-3827	467	13	abbas	abbas	PROPN
cana-3827	467	14	m.	m.	PROPN
cana-3827	467	15	understanding	understand	VERB
cana-3827	467	16	the	the	DET
cana-3827	467	17	soft	soft	ADJ
cana-3827	467	18	side	side	NOUN
cana-3827	467	19	of	of	ADP
cana-3827	467	20	software	software	NOUN
cana-3827	467	21	projects	project	NOUN
cana-3827	467	22	:	:	PUNCT
cana-3827	467	23	an	an	DET
cana-3827	467	24	empirical	empirical	ADJ
cana-3827	467	25	study	study	NOUN
cana-3827	467	26	on	on	ADP
cana-3827	467	27	the	the	DET
cana-3827	467	28	interactive	interactive	ADJ
cana-3827	467	29	effects	effect	NOUN
cana-3827	467	30	of	of	ADP
cana-3827	467	31	social	social	ADJ
cana-3827	467	32	skills	skill	NOUN
cana-3827	467	33	and	and	CCONJ
cana-3827	467	34	political	political	ADJ
cana-3827	467	35	skills	skill	NOUN
cana-3827	467	36	on	on	ADP
cana-3827	467	37	complexity	complexity	NOUN
cana-3827	467	38	–	–	PUNCT
cana-3827	467	39	performance	performance	NOUN
cana-3827	467	40	relationship	relationship	NOUN
cana-3827	467	41	.	.	PUNCT
cana-3827	467	42	international	international	ADJ
cana-3827	467	43	journal	journal	PROPN
cana-3827	467	44	of	of	ADP
cana-3827	467	45	project	project	NOUN
cana-3827	467	46	management	management	NOUN
cana-3827	467	47	.	.	PUNCT
cana-3827	468	1	2019	2019	NUM
cana-3827	468	2	apr	apr	PROPN
cana-3827	468	3	1;37(3):444	1;37(3):444	NUM
cana-3827	468	4	-	-	PUNCT
cana-3827	468	5	60	60	NUM
cana-3827	468	6	.	.	PUNCT
cana-3827	469	1	[	[	X
cana-3827	469	2	19	19	NUM
cana-3827	469	3	]	]	X
cana-3827	469	4	mezhoudi	mezhoudi	ADJ
cana-3827	469	5	n	n	CCONJ
cana-3827	469	6	,	,	PUNCT
cana-3827	469	7	alghamdi	alghamdi	NOUN
cana-3827	469	8	r	r	NOUN
cana-3827	469	9	,	,	PUNCT
cana-3827	469	10	aljunaid	aljunaid	ADJ
cana-3827	469	11	r	r	NOUN
cana-3827	469	12	,	,	PUNCT
cana-3827	469	13	krichna	krichna	ADJ
cana-3827	469	14	g	g	NOUN
cana-3827	469	15	,	,	PUNCT
cana-3827	469	16	düştegör	düştegör	ADJ
cana-3827	469	17	d.	d.	PROPN
cana-3827	469	18	employability	employability	NOUN
cana-3827	469	19	prediction	prediction	NOUN
cana-3827	469	20	:	:	PUNCT
cana-3827	469	21	a	a	DET
cana-3827	469	22	survey	survey	NOUN
cana-3827	469	23	of	of	ADP
cana-3827	469	24	current	current	ADJ
cana-3827	469	25	approaches	approach	NOUN
cana-3827	469	26	,	,	PUNCT
cana-3827	469	27	research	research	NOUN
cana-3827	469	28	challenges	challenge	NOUN
cana-3827	469	29	and	and	CCONJ
cana-3827	469	30	applications	application	NOUN
cana-3827	469	31	.	.	PUNCT
cana-3827	470	1	journal	journal	PROPN
cana-3827	470	2	of	of	ADP
cana-3827	470	3	ambient	ambient	ADJ
cana-3827	470	4	intelligence	intelligence	NOUN
cana-3827	470	5	and	and	CCONJ
cana-3827	470	6	humanized	humanize	VERB
cana-3827	470	7	computing	computing	NOUN
cana-3827	470	8	.	.	PUNCT
cana-3827	471	1	2023	2023	NUM
cana-3827	471	2	mar;14(3):1489505	mar;14(3):1489505	PROPN
cana-3827	471	3	.	.	PUNCT
cana-3827	472	1	[	[	X
cana-3827	472	2	20	20	NUM
cana-3827	472	3	]	]	X
cana-3827	472	4	makhoba	makhoba	PROPN
cana-3827	472	5	l	l	PROPN
cana-3827	472	6	,	,	PUNCT
cana-3827	472	7	jadhav	jadhav	PROPN
cana-3827	472	8	a	a	PROPN
cana-3827	472	9	,	,	PUNCT
cana-3827	472	10	sixhaxa	sixhaxa	ADJ
cana-3827	472	11	k	k	NOUN
cana-3827	472	12	,	,	PUNCT
cana-3827	472	13	ajoodha	ajoodha	PROPN
cana-3827	472	14	r.	r.	PROPN
cana-3827	472	15	evaluation	evaluation	NOUN
cana-3827	472	16	of	of	ADP
cana-3827	472	17	student	student	NOUN
cana-3827	472	18	skill	skill	NOUN
cana-3827	472	19	-	-	PUNCT
cana-3827	472	20	sets	set	NOUN
cana-3827	472	21	as	as	ADP
cana-3827	472	22	predictors	predictor	NOUN
cana-3827	472	23	of	of	ADP
cana-3827	472	24	success	success	NOUN
cana-3827	472	25	at	at	ADP
cana-3827	472	26	higher	high	ADJ
cana-3827	472	27	education	education	NOUN
cana-3827	472	28	institutions	institution	NOUN
cana-3827	472	29	.	.	PUNCT
cana-3827	473	1	inproceedings	inproceeding	NOUN
cana-3827	473	2	of	of	ADP
cana-3827	473	3	international	international	ADJ
cana-3827	473	4	conference	conference	NOUN
cana-3827	473	5	on	on	ADP
cana-3827	473	6	communication	communication	NOUN
cana-3827	473	7	and	and	CCONJ
cana-3827	473	8	computational	computational	ADJ
cana-3827	473	9	technologies	technology	NOUN
cana-3827	473	10	:	:	PUNCT
cana-3827	473	11	iccct	iccct	ADJ
cana-3827	473	12	2022	2022	NUM
cana-3827	473	13	2022	2022	NUM
cana-3827	473	14	sep	sep	NOUN
cana-3827	473	15	27	27	NUM
cana-3827	473	16	(	(	PUNCT
cana-3827	473	17	pp	pp	ADJ
cana-3827	473	18	.	.	PUNCT
cana-3827	474	1	585	585	NUM
cana-3827	474	2	-	-	SYM
cana-3827	474	3	600	600	NUM
cana-3827	474	4	)	)	PUNCT
cana-3827	474	5	.	.	PUNCT
cana-3827	475	1	singapore	singapore	PROPN
cana-3827	475	2	:	:	PUNCT
cana-3827	475	3	springer	springer	NOUN
cana-3827	475	4	nature	nature	PROPN
cana-3827	475	5	singapore	singapore	PROPN
cana-3827	475	6	.	.	PUNCT
cana-3827	476	1	[	[	X
cana-3827	476	2	21	21	NUM
cana-3827	476	3	]	]	X
cana-3827	476	4	gonzález	gonzález	PROPN
cana-3827	476	5	-	-	PUNCT
cana-3827	476	6	marcos	marcos	PROPN
cana-3827	476	7	a	a	PROPN
cana-3827	476	8	,	,	PUNCT
cana-3827	476	9	alba	alba	NOUN
cana-3827	476	10	-	-	PUNCT
cana-3827	476	11	elías	elías	PROPN
cana-3827	476	12	f	f	PROPN
cana-3827	476	13	,	,	PUNCT
cana-3827	476	14	navaridas	navaridas	PROPN
cana-3827	476	15	-	-	PUNCT
cana-3827	476	16	nalda	nalda	NOUN
cana-3827	476	17	f	f	X
cana-3827	476	18	,	,	PUNCT
cana-3827	476	19	ordieres	ordiere	NOUN
cana-3827	476	20	-	-	PUNCT
cana-3827	476	21	meré	meré	NOUN
cana-3827	476	22	j.	j.	PROPN
cana-3827	476	23	student	student	PROPN
cana-3827	476	24	evaluation	evaluation	NOUN
cana-3827	476	25	of	of	ADP
cana-3827	476	26	a	a	DET
cana-3827	476	27	virtual	virtual	ADJ
cana-3827	476	28	experience	experience	NOUN
cana-3827	476	29	for	for	ADP
cana-3827	476	30	project	project	NOUN
cana-3827	476	31	management	management	NOUN
cana-3827	476	32	learning	learning	NOUN
cana-3827	476	33	:	:	PUNCT
cana-3827	476	34	an	an	DET
cana-3827	476	35	empirical	empirical	ADJ
cana-3827	476	36	study	study	NOUN
cana-3827	476	37	for	for	ADP
cana-3827	476	38	learning	learn	VERB
cana-3827	476	39	improvement	improvement	NOUN
cana-3827	476	40	.	.	PUNCT
cana-3827	477	1	computers	computer	NOUN
cana-3827	477	2	&	&	CCONJ
cana-3827	477	3	education	education	NOUN
cana-3827	477	4	.	.	PUNCT
cana-3827	478	1	2016	2016	NUM
cana-3827	478	2	nov	nov	PROPN
cana-3827	478	3	1;102:172	1;102:172	PROPN
cana-3827	478	4	-	-	PUNCT
cana-3827	478	5	87	87	NUM
cana-3827	478	6	.	.	PUNCT
cana-3827	479	1	[	[	X
cana-3827	479	2	22	22	NUM
cana-3827	479	3	]	]	X
cana-3827	479	4	el	el	PROPN
cana-3827	479	5	-	-	PROPN
cana-3827	479	6	sabaa	sabaa	PROPN
cana-3827	479	7	s.	s.	PROPN
cana-3827	479	8	the	the	DET
cana-3827	479	9	skills	skill	NOUN
cana-3827	479	10	and	and	CCONJ
cana-3827	479	11	career	career	NOUN
cana-3827	479	12	path	path	NOUN
cana-3827	479	13	of	of	ADP
cana-3827	479	14	an	an	DET
cana-3827	479	15	effective	effective	ADJ
cana-3827	479	16	project	project	NOUN
cana-3827	479	17	manager	manager	NOUN
cana-3827	479	18	.	.	PUNCT
cana-3827	480	1	international	international	ADJ
cana-3827	480	2	journal	journal	PROPN
cana-3827	480	3	of	of	ADP
cana-3827	480	4	project	project	NOUN
cana-3827	480	5	management	management	NOUN
cana-3827	480	6	.	.	PUNCT
cana-3827	481	1	2001	2001	NUM
cana-3827	481	2	jan	jan	PROPN
cana-3827	481	3	1;19(1):1	1;19(1):1	NUM
cana-3827	481	4	-	-	SYM
cana-3827	481	5	7	7	NUM
cana-3827	481	6	.	.	PUNCT
cana-3827	482	1	[	[	X
cana-3827	482	2	23	23	NUM
cana-3827	482	3	]	]	X
cana-3827	482	4	kotsiantis	kotsiantis	PROPN
cana-3827	482	5	sb	sb	PROPN
cana-3827	482	6	.	.	PROPN
cana-3827	482	7	use	use	NOUN
cana-3827	482	8	of	of	ADP
cana-3827	482	9	machine	machine	NOUN
cana-3827	482	10	learning	learn	VERB
cana-3827	482	11	techniques	technique	NOUN
cana-3827	482	12	for	for	ADP
cana-3827	482	13	educational	educational	ADJ
cana-3827	482	14	proposes	propose	NOUN
cana-3827	482	15	:	:	PUNCT
cana-3827	482	16	a	a	DET
cana-3827	482	17	decision	decision	NOUN
cana-3827	482	18	support	support	NOUN
cana-3827	482	19	system	system	NOUN
cana-3827	482	20	for	for	ADP
cana-3827	482	21	forecasting	forecast	VERB
cana-3827	482	22	students	student	NOUN
cana-3827	482	23	’	’	PART
cana-3827	482	24	grades	grade	NOUN
cana-3827	482	25	.	.	PUNCT
cana-3827	483	1	artificial	artificial	ADJ
cana-3827	483	2	intelligence	intelligence	NOUN
cana-3827	483	3	review	review	NOUN
cana-3827	483	4	.	.	PUNCT
cana-3827	484	1	2012	2012	NUM
cana-3827	484	2	apr;37:331	apr;37:331	NUM
cana-3827	484	3	-	-	SYM
cana-3827	484	4	44	44	NUM
cana-3827	484	5	.	.	PUNCT
cana-3827	485	1	[	[	X
cana-3827	485	2	24	24	NUM
cana-3827	485	3	]	]	X
cana-3827	485	4	md	md	PROPN
cana-3827	485	5	s	s	PROPN
cana-3827	485	6	,	,	PUNCT
cana-3827	485	7	krishnamoorthy	krishnamoorthy	ADJ
cana-3827	485	8	s.	s.	PROPN
cana-3827	485	9	student	student	NOUN
cana-3827	485	10	performance	performance	NOUN
cana-3827	485	11	prediction	prediction	NOUN
cana-3827	485	12	,	,	PUNCT
cana-3827	485	13	risk	risk	NOUN
cana-3827	485	14	analysis	analysis	NOUN
cana-3827	485	15	,	,	PUNCT
cana-3827	485	16	and	and	CCONJ
cana-3827	485	17	feedback	feedback	NOUN
cana-3827	485	18	based	base	VERB
cana-3827	485	19	on	on	ADP
cana-3827	485	20	context	context	NOUN
cana-3827	485	21	-	-	PUNCT
cana-3827	485	22	bound	bind	VERB
cana-3827	485	23	cognitive	cognitive	ADJ
cana-3827	485	24	skill	skill	NOUN
cana-3827	485	25	scores	score	NOUN
cana-3827	485	26	.	.	PUNCT
cana-3827	486	1	education	education	NOUN
cana-3827	486	2	and	and	CCONJ
cana-3827	486	3	information	information	NOUN
cana-3827	486	4	technologies	technology	NOUN
cana-3827	486	5	.	.	PUNCT
cana-3827	487	1	2022	2022	NUM
cana-3827	487	2	apr;27(3):3981	apr;27(3):3981	NOUN
cana-3827	487	3	-	-	PUNCT
cana-3827	487	4	4005	4005	NUM
cana-3827	487	5	.	.	PUNCT
cana-3827	488	1	[	[	X
cana-3827	488	2	25	25	NUM
cana-3827	488	3	]	]	X
cana-3827	488	4	petkovic	petkovic	PROPN
cana-3827	488	5	d	d	PROPN
cana-3827	488	6	,	,	PUNCT
cana-3827	488	7	sosnick	sosnick	NOUN
cana-3827	488	8	-	-	PUNCT
cana-3827	488	9	pérez	pérez	NOUN
cana-3827	488	10	m	m	PROPN
cana-3827	488	11	,	,	PUNCT
cana-3827	488	12	huang	huang	PROPN
cana-3827	488	13	s	s	PROPN
cana-3827	488	14	,	,	PUNCT
cana-3827	488	15	todtenhoefer	todtenhoefer	NOUN
cana-3827	488	16	r	r	NOUN
cana-3827	488	17	,	,	PUNCT
cana-3827	488	18	okada	okada	PROPN
cana-3827	488	19	k	k	PROPN
cana-3827	488	20	,	,	PUNCT
cana-3827	488	21	arora	arora	PROPN
cana-3827	488	22	s	s	PROPN
cana-3827	488	23	,	,	PUNCT
cana-3827	488	24	sreenivasen	sreenivasen	ADV
cana-3827	488	25	r	r	PROPN
cana-3827	488	26	,	,	PUNCT
cana-3827	488	27	flores	flores	PROPN
cana-3827	488	28	l	l	PROPN
cana-3827	488	29	,	,	PUNCT
cana-3827	488	30	dubey	dubey	PROPN
cana-3827	488	31	s.	s.	PROPN
cana-3827	488	32	setap	setap	PROPN
cana-3827	488	33	:	:	PUNCT
cana-3827	488	34	software	software	NOUN
cana-3827	488	35	engineering	engineering	NOUN
cana-3827	488	36	teamwork	teamwork	NOUN
cana-3827	488	37	assessment	assessment	NOUN
cana-3827	488	38	and	and	CCONJ
cana-3827	488	39	prediction	prediction	NOUN
cana-3827	488	40	using	use	VERB
cana-3827	488	41	machine	machine	NOUN
cana-3827	488	42	learning	learning	NOUN
cana-3827	488	43	.	.	PUNCT
cana-3827	489	1	in2014	in2014	PROPN
cana-3827	489	2	ieee	ieee	NOUN
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cana-3827	489	4	in	in	ADP
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cana-3827	489	6	conference	conference	NOUN
cana-3827	489	7	(	(	PUNCT
cana-3827	489	8	fie	fie	NOUN
cana-3827	489	9	)	)	PUNCT
cana-3827	489	10	proceedings	proceeding	NOUN
cana-3827	489	11	2014	2014	NUM
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cana-3827	489	14	(	(	PUNCT
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cana-3827	491	1	[	[	X
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cana-3827	491	3	]	]	X
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cana-3827	491	5	hy	hy	PROPN
cana-3827	491	6	,	,	PUNCT
cana-3827	491	7	you	you	PRON
cana-3827	491	8	j.	j.	PROPN
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cana-3827	491	10	-	-	PUNCT
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cana-3827	491	12	prediction	prediction	NOUN
cana-3827	491	13	by	by	ADP
cana-3827	491	14	using	use	VERB
cana-3827	491	15	soft	soft	ADJ
cana-3827	491	16	skills	skill	NOUN
cana-3827	491	17	and	and	CCONJ
cana-3827	491	18	technological	technological	ADJ
cana-3827	491	19	savvy	savvy	ADJ
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cana-3827	491	21	.	.	PUNCT
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cana-3827	492	8	.	.	PUNCT
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cana-3827	493	2	.	.	PUNCT
cana-3827	494	1	[	[	X
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cana-3827	494	3	]	]	X
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cana-3827	494	20	to	to	PART
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cana-3827	494	27	.	.	PUNCT
cana-3827	495	1	procedia	procedia	NOUN
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cana-3827	495	4	.	.	PUNCT
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cana-3827	496	4	-	-	SYM
cana-3827	496	5	8	8	NUM
cana-3827	496	6	.	.	PUNCT
cana-3827	497	1	[	[	X
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cana-3827	497	3	]	]	X
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cana-3827	497	5	d	d	PROPN
cana-3827	497	6	,	,	PUNCT
cana-3827	497	7	okada	okada	PROPN
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cana-3827	497	10	sosnick	sosnick	PROPN
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cana-3827	497	21	,	,	PUNCT
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cana-3827	497	24	work	work	VERB
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cana-3827	497	27	:	:	PUNCT
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cana-3827	497	38	effectiveness	effectiveness	NOUN
cana-3827	497	39	in	in	ADP
cana-3827	497	40	software	software	NOUN
cana-3827	497	41	engineering	engineering	NOUN
cana-3827	497	42	education	education	NOUN
cana-3827	497	43	.	.	PUNCT
cana-3827	498	1	in2012	in2012	PROPN
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cana-3827	498	3	in	in	ADP
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cana-3827	498	7	2012	2012	NUM
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cana-3827	498	12	.	.	PUNCT
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cana-3827	499	4	)	)	PUNCT
cana-3827	499	5	.	.	PUNCT
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cana-3827	500	2	.	.	PUNCT
cana-3827	501	1	[	[	X
cana-3827	501	2	29	29	NUM
cana-3827	501	3	]	]	X
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cana-3827	501	12	(	(	PUNCT
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cana-3827	501	15	dt	dt	PROPN
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cana-3827	502	16	2021	2021	NUM
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cana-3827	502	19	(	(	PUNCT
cana-3827	502	20	pp	pp	ADJ
cana-3827	502	21	.	.	PUNCT
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cana-3827	503	2	-	-	SYM
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cana-3827	503	5	.	.	PUNCT
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cana-3827	504	2	.	.	PUNCT
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cana-3827	505	3	]	]	X
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cana-3827	506	1	a	a	DET
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cana-3827	506	10	.	.	PUNCT
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cana-3827	507	16	,	,	PUNCT
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cana-3827	507	39	.	.	PUNCT
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cana-3827	508	5	.	.	PUNCT
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cana-3827	510	25	.	.	PUNCT
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cana-3827	512	4	-	-	SYM
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cana-3827	514	3	:	:	PUNCT
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cana-3827	514	13	.	.	PUNCT
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cana-3827	517	7	:	:	PUNCT
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cana-3827	517	9	-	-	PUNCT
cana-3827	517	10	133x	133x	NUM
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cana-3827	518	2	(	(	PUNCT
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cana-3827	519	26	:	:	PUNCT
cana-3827	519	27	a	a	DET
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cana-3827	519	31	.	.	PUNCT
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cana-3827	520	4	:	:	PUNCT
cana-3827	520	5	artificial	artificial	ADJ
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cana-3827	521	1	2024	2024	NUM
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cana-3827	522	3	]	]	X
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cana-3827	522	9	a	a	DET
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cana-3827	522	11	neural	neural	ADJ
cana-3827	522	12	network	network	NOUN
cana-3827	522	13	-	-	PUNCT
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cana-3827	522	23	online	online	ADJ
cana-3827	522	24	courses	course	NOUN
cana-3827	522	25	among	among	ADP
cana-3827	522	26	college	college	NOUN
cana-3827	522	27	students	student	NOUN
cana-3827	522	28	.	.	PUNCT
cana-3827	523	1	international	international	ADJ
cana-3827	523	2	journal	journal	NOUN
cana-3827	523	3	of	of	ADP
cana-3827	523	4	advanced	advanced	ADJ
cana-3827	523	5	computer	computer	NOUN
cana-3827	523	6	science	science	NOUN
cana-3827	523	7	&	&	CCONJ
cana-3827	523	8	applications	application	NOUN
cana-3827	523	9	.	.	PUNCT
cana-3827	524	1	2024	2024	NUM
cana-3827	524	2	sep	sep	PROPN
cana-3827	524	3	1;15(9	1;15(9	NUM
cana-3827	524	4	)	)	PUNCT
cana-3827	524	5	.	.	PUNCT
cana-3827	525	1	[	[	X
cana-3827	525	2	36	36	NUM
cana-3827	525	3	]	]	X
cana-3827	525	4	ku	ku	PROPN
cana-3827	525	5	j	j	PROPN
cana-3827	525	6	,	,	PUNCT
cana-3827	525	7	kovoor	kovoor	PROPN
cana-3827	525	8	bc	bc	PROPN
cana-3827	525	9	.	.	PROPN
cana-3827	526	1	a	a	DET
cana-3827	526	2	wavelet	wavelet	NOUN
cana-3827	526	3	-	-	PUNCT
cana-3827	526	4	based	base	VERB
cana-3827	526	5	hybrid	hybrid	ADJ
cana-3827	526	6	multi	multi	ADJ
cana-3827	526	7	-	-	ADJ
cana-3827	526	8	step	step	ADJ
cana-3827	526	9	wind	wind	NOUN
cana-3827	526	10	speed	speed	NOUN
cana-3827	526	11	forecasting	forecasting	NOUN
cana-3827	526	12	model	model	NOUN
cana-3827	526	13	using	use	VERB
cana-3827	526	14	lstm	lstm	NOUN
cana-3827	526	15	and	and	CCONJ
cana-3827	526	16	svr	svr	PROPN
cana-3827	526	17	.	.	PUNCT
cana-3827	527	1	wind	wind	NOUN
cana-3827	527	2	engineering	engineering	NOUN
cana-3827	527	3	.	.	PUNCT
cana-3827	528	1	2021	2021	NUM
cana-3827	529	1	oct;45(5):1123	oct;45(5):1123	NOUN
cana-3827	529	2	-	-	SYM
cana-3827	529	3	44	44	NUM
cana-3827	529	4	.	.	PUNCT
cana-3827	530	1	[	[	X
cana-3827	530	2	37	37	NUM
cana-3827	530	3	]	]	X
cana-3827	530	4	gupta	gupta	PROPN
cana-3827	530	5	i	i	PRON
cana-3827	530	6	,	,	PUNCT
cana-3827	530	7	sharma	sharma	PROPN
cana-3827	530	8	v	v	PROPN
cana-3827	530	9	,	,	PUNCT
cana-3827	530	10	kaur	kaur	PROPN
cana-3827	530	11	s	s	PROPN
cana-3827	530	12	,	,	PUNCT
cana-3827	530	13	singh	singh	PROPN
cana-3827	530	14	ak	ak	PROPN
cana-3827	530	15	.	.	PROPN
cana-3827	530	16	pca	pca	PROPN
cana-3827	530	17	-	-	PUNCT
cana-3827	530	18	rf	rf	NOUN
cana-3827	530	19	:	:	PUNCT
cana-3827	530	20	an	an	DET
cana-3827	530	21	efficient	efficient	ADJ
cana-3827	530	22	parkinson	parkinson	NOUN
cana-3827	530	23	's	's	PART
cana-3827	530	24	disease	disease	NOUN
cana-3827	530	25	prediction	prediction	NOUN
cana-3827	530	26	model	model	NOUN
cana-3827	530	27	based	base	VERB
cana-3827	530	28	on	on	ADP
cana-3827	530	29	random	random	ADJ
cana-3827	530	30	forest	forest	NOUN
cana-3827	530	31	classification	classification	NOUN
cana-3827	530	32	.	.	PUNCT
cana-3827	531	1	arxiv	arxiv	PROPN
cana-3827	531	2	preprint	preprint	VERB
cana-3827	531	3	arxiv:2203.11287	arxiv:2203.11287	NOUN
cana-3827	531	4	.	.	PUNCT
cana-3827	532	1	2022	2022	NUM
cana-3827	532	2	mar	mar	PROPN
cana-3827	532	3	21	21	NUM
cana-3827	532	4	.	.	PUNCT
cana-3827	533	1	[	[	X
cana-3827	533	2	38	38	NUM
cana-3827	533	3	]	]	PUNCT
cana-3827	533	4	cutler	cutler	NOUN
cana-3827	533	5	a	a	PRON
cana-3827	533	6	,	,	PUNCT
cana-3827	533	7	cutler	cutler	PROPN
cana-3827	533	8	dr	dr	PROPN
cana-3827	533	9	,	,	PUNCT
cana-3827	533	10	stevens	stevens	PROPN
cana-3827	533	11	jr	jr	PROPN
cana-3827	533	12	.	.	PUNCT
cana-3827	533	13	random	random	ADJ
cana-3827	533	14	forests	forest	NOUN
cana-3827	533	15	.	.	PUNCT
cana-3827	534	1	ensemble	ensemble	ADJ
cana-3827	534	2	machine	machine	NOUN
cana-3827	534	3	learning	learning	NOUN
cana-3827	534	4	:	:	PUNCT
cana-3827	534	5	methods	method	NOUN
cana-3827	534	6	and	and	CCONJ
cana-3827	534	7	applications	application	NOUN
cana-3827	534	8	.	.	PUNCT
cana-3827	535	1	2012:157	2012:157	NUM
cana-3827	535	2	-	-	SYM
cana-3827	535	3	75	75	NUM
cana-3827	535	4	.	.	PUNCT
cana-3827	536	1	[	[	X
cana-3827	536	2	39	39	NUM
cana-3827	536	3	]	]	X
cana-3827	536	4	fu	fu	NOUN
cana-3827	536	5	h	h	NOUN
cana-3827	536	6	,	,	PUNCT
cana-3827	536	7	qi	qi	PROPN
cana-3827	536	8	k.	k.	PROPN
cana-3827	536	9	evaluation	evaluation	NOUN
cana-3827	536	10	model	model	NOUN
cana-3827	536	11	of	of	ADP
cana-3827	536	12	teachers	teacher	NOUN
cana-3827	536	13	'	'	PART
cana-3827	536	14	teaching	teaching	NOUN
cana-3827	536	15	ability	ability	NOUN
cana-3827	536	16	based	base	VERB
cana-3827	536	17	on	on	ADP
cana-3827	536	18	improved	improve	VERB
cana-3827	536	19	random	random	ADJ
cana-3827	536	20	forest	forest	NOUN
cana-3827	536	21	with	with	ADP
cana-3827	536	22	grey	grey	PROPN
cana-3827	536	23	relation	relation	NOUN
cana-3827	536	24	projection	projection	NOUN
cana-3827	536	25	.	.	PUNCT
cana-3827	537	1	scientific	scientific	ADJ
cana-3827	537	2	programming	programming	NOUN
cana-3827	537	3	.	.	PUNCT
cana-3827	538	1	2022;2022(1):5793459	2022;2022(1):5793459	NUM
cana-3827	538	2	.	.	PUNCT
cana-3827	539	1	[	[	X
cana-3827	539	2	40	40	NUM
cana-3827	539	3	]	]	PUNCT
cana-3827	539	4	nair	nair	NOUN
cana-3827	539	5	a	a	NOUN
cana-3827	539	6	,	,	PUNCT
cana-3827	539	7	parameter	parameter	NOUN
cana-3827	539	8	tuning	tuning	NOUN
cana-3827	539	9	with	with	ADP
cana-3827	539	10	grid	grid	NOUN
cana-3827	539	11	search	search	NOUN
cana-3827	539	12	:	:	PUNCT
cana-3827	539	13	a	a	DET
cana-3827	539	14	hands	hand	NOUN
cana-3827	539	15	-	-	PUNCT
cana-3827	539	16	on	on	ADP
cana-3827	539	17	introduction	introduction	NOUN
cana-3827	539	18	.	.	PUNCT
cana-3827	540	1	analytics	analytic	NOUN
cana-3827	540	2	india	india	PROPN
cana-3827	540	3	magazine	magazine	PROPN
cana-3827	540	4	.	.	PUNCT
cana-3827	541	1	2019	2019	NUM
cana-3827	541	2	.	.	PUNCT
cana-3827	542	1	[	[	X
cana-3827	542	2	41	41	NUM
cana-3827	542	3	]	]	PUNCT
cana-3827	542	4	fraj	fraj	ADJ
cana-3827	542	5	mb	mb	NOUN
cana-3827	542	6	,	,	PUNCT
cana-3827	542	7	in	in	ADP
cana-3827	542	8	depth	depth	NOUN
cana-3827	542	9	:	:	PUNCT
cana-3827	542	10	parameter	parameter	NOUN
cana-3827	542	11	tuning	tuning	NOUN
cana-3827	542	12	for	for	ADP
cana-3827	542	13	random	random	ADJ
cana-3827	542	14	forest	forest	NOUN
cana-3827	542	15	.	.	PUNCT
cana-3827	543	1	2019	2019	NUM
cana-3827	543	2	.	.	PUNCT
cana-3827	544	1	[	[	X
cana-3827	544	2	42	42	NUM
cana-3827	544	3	]	]	PUNCT
cana-3827	544	4	okoli	okoli	PROPN
cana-3827	544	5	c.	c.	PROPN
cana-3827	544	6	statistical	statistical	ADJ
cana-3827	544	7	inference	inference	NOUN
cana-3827	544	8	using	use	VERB
cana-3827	544	9	machine	machine	NOUN
cana-3827	544	10	learning	learning	NOUN
cana-3827	544	11	and	and	CCONJ
cana-3827	544	12	classical	classical	ADJ
cana-3827	544	13	techniques	technique	NOUN
cana-3827	544	14	based	base	VERB
cana-3827	544	15	on	on	ADP
cana-3827	544	16	accumulated	accumulate	VERB
cana-3827	544	17	local	local	ADJ
cana-3827	544	18	effects	effect	NOUN
cana-3827	544	19	(	(	PUNCT
cana-3827	544	20	ale	ale	NOUN
cana-3827	544	21	)	)	PUNCT
cana-3827	544	22	.	.	PUNCT
cana-3827	545	1	arxiv	arxiv	PROPN
cana-3827	545	2	preprint	preprint	VERB
cana-3827	545	3	arxiv:2310.09877	arxiv:2310.09877	PROPN
cana-3827	545	4	.	.	PUNCT
cana-3827	546	1	2023	2023	NUM
cana-3827	546	2	oct	oct	NOUN
cana-3827	546	3	15	15	NUM
cana-3827	546	4	.	.	PUNCT
cana-3827	547	1	[	[	X
cana-3827	547	2	43	43	NUM
cana-3827	547	3	]	]	X
cana-3827	547	4	boateng	boateng	PROPN
cana-3827	547	5	ey	ey	PROPN
cana-3827	547	6	,	,	PUNCT
cana-3827	547	7	abaye	abaye	NOUN
cana-3827	547	8	da	da	PROPN
cana-3827	547	9	.	.	PUNCT
cana-3827	548	1	a	a	DET
cana-3827	548	2	review	review	NOUN
cana-3827	548	3	of	of	ADP
cana-3827	548	4	the	the	DET
cana-3827	548	5	logistic	logistic	ADJ
cana-3827	548	6	regression	regression	NOUN
cana-3827	548	7	model	model	NOUN
cana-3827	548	8	with	with	ADP
cana-3827	548	9	emphasis	emphasis	NOUN
cana-3827	548	10	on	on	ADP
cana-3827	548	11	medical	medical	ADJ
cana-3827	548	12	research	research	NOUN
cana-3827	548	13	.	.	PUNCT
cana-3827	549	1	journal	journal	PROPN
cana-3827	549	2	of	of	ADP
cana-3827	549	3	data	datum	NOUN
cana-3827	549	4	analysis	analysis	NOUN
cana-3827	549	5	and	and	CCONJ
cana-3827	549	6	information	information	NOUN
cana-3827	549	7	processing	processing	NOUN
cana-3827	549	8	.	.	PUNCT
cana-3827	550	1	2019	2019	NUM
cana-3827	550	2	oct	oct	PROPN
cana-3827	550	3	12;7(04):190	12;7(04):190	NUM
cana-3827	550	4	.	.	PUNCT
cana-3827	551	1	[	[	X
cana-3827	551	2	44	44	NUM
cana-3827	551	3	]	]	PUNCT
cana-3827	551	4	zhu	zhu	PROPN
cana-3827	551	5	l	l	NOUN
cana-3827	551	6	,	,	PUNCT
cana-3827	551	7	qiu	qiu	PROPN
cana-3827	551	8	d	d	PROPN
cana-3827	551	9	,	,	PUNCT
cana-3827	551	10	ergu	ergu	PROPN
cana-3827	551	11	d	d	PROPN
cana-3827	551	12	,	,	PUNCT
cana-3827	551	13	ying	ying	PROPN
cana-3827	551	14	c	c	PROPN
cana-3827	551	15	,	,	PUNCT
cana-3827	551	16	liu	liu	PROPN
cana-3827	551	17	k.	k.	PROPN
cana-3827	552	1	a	a	DET
cana-3827	552	2	study	study	NOUN
cana-3827	552	3	on	on	ADP
cana-3827	552	4	predicting	predict	VERB
cana-3827	552	5	loan	loan	NOUN
cana-3827	552	6	default	default	NOUN
cana-3827	552	7	based	base	VERB
cana-3827	552	8	on	on	ADP
cana-3827	552	9	the	the	DET
cana-3827	552	10	random	random	ADJ
cana-3827	552	11	forest	forest	NOUN
cana-3827	552	12	algorithm	algorithm	NOUN
cana-3827	552	13	.	.	PUNCT
cana-3827	553	1	procedia	procedia	PROPN
cana-3827	553	2	computer	computer	NOUN
cana-3827	553	3	science	science	NOUN
cana-3827	553	4	.	.	PUNCT
cana-3827	554	1	2019	2019	NUM
cana-3827	554	2	jan	jan	PROPN
cana-3827	554	3	1	1	NUM
cana-3827	554	4	;	;	PUNCT
cana-3827	554	5	162:503	162:503	NUM
cana-3827	554	6	-	-	SYM
cana-3827	554	7	13	13	NUM