id	sid	tid	token	lemma	pos
cana-2668	1	1	communications	communication	NOUN
cana-2668	1	2	on	on	ADP
cana-2668	1	3	applied	apply	VERB
cana-2668	1	4	nonlinear	nonlinear	ADJ
cana-2668	1	5	analysis	analysis	NOUN
cana-2668	1	6	issn	issn	NOUN
cana-2668	1	7	:	:	PUNCT
cana-2668	1	8	1074	1074	NUM
cana-2668	1	9	-	-	PUNCT
cana-2668	1	10	133x	133x	NUM
cana-2668	1	11	vol	vol	NOUN
cana-2668	1	12	32	32	NUM
cana-2668	1	13	no	no	NOUN
cana-2668	1	14	.	.	PUNCT
cana-2668	2	1	3s	3s	NUM
cana-2668	2	2	(	(	PUNCT
cana-2668	2	3	2025	2025	NUM
cana-2668	2	4	)	)	PUNCT
cana-2668	2	5	406	406	NUM
cana-2668	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2668	2	7	a	a	DET
cana-2668	2	8	streamlined	streamlined	ADJ
cana-2668	2	9	approach	approach	NOUN
cana-2668	2	10	to	to	ADP
cana-2668	2	11	student	student	NOUN
cana-2668	2	12	stream	stream	NOUN
cana-2668	2	13	prediction	prediction	NOUN
cana-2668	2	14	using	use	VERB
cana-2668	2	15	an	an	DET
cana-2668	2	16	ensemble	ensemble	ADJ
cana-2668	2	17	machine	machine	NOUN
cana-2668	2	18	learning	learning	NOUN
cana-2668	2	19	model	model	PROPN
cana-2668	2	20	rajan	rajan	PROPN
cana-2668	2	21	saluja1	saluja1	PROPN
cana-2668	2	22	munishwar	munishwar	PROPN
cana-2668	2	23	rai2	rai2	PROPN
cana-2668	2	24	1research	1research	NUM
cana-2668	2	25	scholar	scholar	NOUN
cana-2668	2	26	,	,	PUNCT
cana-2668	2	27	mmdu	mmdu	PROPN
cana-2668	2	28	mullana	mullana	PROPN
cana-2668	2	29	,	,	PUNCT
cana-2668	2	30	ambala	ambala	PROPN
cana-2668	2	31	cantt	cantt	PROPN
cana-2668	2	32	,	,	PUNCT
cana-2668	2	33	haryana	haryana	PROPN
cana-2668	2	34	,	,	PUNCT
cana-2668	2	35	india	india	PROPN
cana-2668	2	36	,	,	PUNCT
cana-2668	2	37	assistant	assistant	NOUN
cana-2668	2	38	professor	professor	NOUN
cana-2668	2	39	,	,	PUNCT
cana-2668	2	40	uic	uic	PROPN
cana-2668	2	41	,	,	PUNCT
cana-2668	2	42	chandigarh	chandigarh	PROPN
cana-2668	2	43	university	university	NOUN
cana-2668	2	44	,	,	PUNCT
cana-2668	2	45	gharun-14030	gharun-14030	NOUN
cana-2668	2	46	mohali	mohali	PROPN
cana-2668	2	47	,	,	PUNCT
cana-2668	2	48	punjab	punjab	PROPN
cana-2668	2	49	,	,	PUNCT
cana-2668	2	50	india	india	PROPN
cana-2668	2	51	,	,	PUNCT
cana-2668	2	52	rajansaluja@yahoo.com	rajansaluja@yahoo.com	X
cana-2668	3	1	2professor	2professor	NUM
cana-2668	3	2	,	,	PUNCT
cana-2668	3	3	mmictbm	mmictbm	NOUN
cana-2668	3	4	,	,	PUNCT
cana-2668	3	5	mmdu	mmdu	PROPN
cana-2668	3	6	,	,	PUNCT
cana-2668	3	7	mullana	mullana	PROPN
cana-2668	3	8	,	,	PUNCT
cana-2668	3	9	ambala	ambala	PROPN
cana-2668	3	10	cantt	cantt	PROPN
cana-2668	3	11	,	,	PUNCT
cana-2668	3	12	haryana	haryana	PROPN
cana-2668	3	13	article	article	PROPN
cana-2668	3	14	history	history	NOUN
cana-2668	3	15	:	:	PUNCT
cana-2668	3	16	received	receive	VERB
cana-2668	3	17	:	:	PUNCT
cana-2668	3	18	22	22	NUM
cana-2668	3	19	-	-	SYM
cana-2668	3	20	09	09	NUM
cana-2668	3	21	-	-	PUNCT
cana-2668	3	22	2024	2024	NUM
cana-2668	3	23	revised	revise	VERB
cana-2668	3	24	:	:	PUNCT
cana-2668	3	25	03	03	NUM
cana-2668	3	26	-	-	SYM
cana-2668	3	27	11	11	NUM
cana-2668	3	28	-	-	PUNCT
cana-2668	3	29	2024	2024	NUM
cana-2668	3	30	accepted	accept	VERB
cana-2668	3	31	:	:	PUNCT
cana-2668	3	32	18	18	NUM
cana-2668	3	33	-	-	SYM
cana-2668	3	34	11	11	NUM
cana-2668	3	35	-	-	PUNCT
cana-2668	3	36	2024	2024	NUM
cana-2668	3	37	abstract	abstract	NOUN
cana-2668	3	38	:	:	PUNCT
cana-2668	3	39	finding	find	VERB
cana-2668	3	40	a	a	DET
cana-2668	3	41	stream	stream	NOUN
cana-2668	3	42	or	or	CCONJ
cana-2668	3	43	course	course	NOUN
cana-2668	3	44	after	after	SCONJ
cana-2668	3	45	secondary	secondary	ADJ
cana-2668	3	46	or	or	CCONJ
cana-2668	3	47	senior	senior	ADJ
cana-2668	3	48	secondary	secondary	ADJ
cana-2668	3	49	education	education	NOUN
cana-2668	3	50	is	be	AUX
cana-2668	3	51	a	a	DET
cana-2668	3	52	daunting	daunting	ADJ
cana-2668	3	53	challenge	challenge	NOUN
cana-2668	3	54	for	for	ADP
cana-2668	3	55	students	student	NOUN
cana-2668	3	56	and	and	CCONJ
cana-2668	3	57	parents	parent	NOUN
cana-2668	3	58	,	,	PUNCT
cana-2668	3	59	as	as	SCONJ
cana-2668	3	60	numerous	numerous	ADJ
cana-2668	3	61	options	option	NOUN
cana-2668	3	62	are	be	AUX
cana-2668	3	63	available	available	ADJ
cana-2668	3	64	in	in	ADP
cana-2668	3	65	various	various	ADJ
cana-2668	3	66	engineering	engineering	NOUN
cana-2668	3	67	and	and	CCONJ
cana-2668	3	68	non	non	ADJ
cana-2668	3	69	-	-	ADJ
cana-2668	3	70	engineering	engineering	ADJ
cana-2668	3	71	courses	course	NOUN
cana-2668	3	72	.	.	PUNCT
cana-2668	4	1	this	this	DET
cana-2668	4	2	decision	decision	NOUN
cana-2668	4	3	potentially	potentially	ADV
cana-2668	4	4	influences	influence	VERB
cana-2668	4	5	a	a	DET
cana-2668	4	6	student	student	NOUN
cana-2668	4	7	’s	’s	PART
cana-2668	4	8	academic	academic	ADJ
cana-2668	4	9	success	success	NOUN
cana-2668	4	10	and	and	CCONJ
cana-2668	4	11	career	career	NOUN
cana-2668	4	12	.	.	PUNCT
cana-2668	5	1	most	most	ADV
cana-2668	5	2	frequently	frequently	ADV
cana-2668	5	3	,	,	PUNCT
cana-2668	5	4	they	they	PRON
cana-2668	5	5	take	take	VERB
cana-2668	5	6	courses	course	NOUN
cana-2668	5	7	with	with	ADP
cana-2668	5	8	the	the	DET
cana-2668	5	9	advice	advice	NOUN
cana-2668	5	10	of	of	ADP
cana-2668	5	11	relatives	relative	NOUN
cana-2668	5	12	,	,	PUNCT
cana-2668	5	13	neighbors	neighbor	NOUN
cana-2668	5	14	,	,	PUNCT
cana-2668	5	15	or	or	CCONJ
cana-2668	5	16	career	career	NOUN
cana-2668	5	17	counsellors	counsellor	NOUN
cana-2668	5	18	.	.	PUNCT
cana-2668	6	1	online	online	ADJ
cana-2668	6	2	platforms	platform	NOUN
cana-2668	6	3	and	and	CCONJ
cana-2668	6	4	learning	learn	VERB
cana-2668	6	5	management	management	NOUN
cana-2668	6	6	systems	system	NOUN
cana-2668	6	7	also	also	ADV
cana-2668	6	8	exist	exist	VERB
cana-2668	6	9	to	to	PART
cana-2668	6	10	offer	offer	VERB
cana-2668	6	11	guidance	guidance	NOUN
cana-2668	6	12	on	on	ADP
cana-2668	6	13	stream	stream	NOUN
cana-2668	6	14	selection	selection	NOUN
cana-2668	6	15	.	.	PUNCT
cana-2668	7	1	still	still	ADV
cana-2668	7	2	,	,	PUNCT
cana-2668	7	3	these	these	DET
cana-2668	7	4	systems	system	NOUN
cana-2668	7	5	rely	rely	VERB
cana-2668	7	6	on	on	ADP
cana-2668	7	7	short	short	ADJ
cana-2668	7	8	-	-	PUNCT
cana-2668	7	9	term	term	NOUN
cana-2668	7	10	assessments	assessment	NOUN
cana-2668	7	11	such	such	ADJ
cana-2668	7	12	as	as	ADP
cana-2668	7	13	tests	test	NOUN
cana-2668	7	14	,	,	PUNCT
cana-2668	7	15	quizzes	quiz	NOUN
cana-2668	7	16	,	,	PUNCT
cana-2668	7	17	or	or	CCONJ
cana-2668	7	18	interviews	interview	NOUN
cana-2668	7	19	,	,	PUNCT
cana-2668	7	20	potentially	potentially	ADV
cana-2668	7	21	restricting	restrict	VERB
cana-2668	7	22	a	a	DET
cana-2668	7	23	student	student	NOUN
cana-2668	7	24	's	's	PART
cana-2668	7	25	options	option	NOUN
cana-2668	7	26	.	.	PUNCT
cana-2668	8	1	our	our	PRON
cana-2668	8	2	research	research	NOUN
cana-2668	8	3	employed	employ	VERB
cana-2668	8	4	the	the	DET
cana-2668	8	5	rajan	rajan	PROPN
cana-2668	8	6	and	and	CCONJ
cana-2668	8	7	rai	rai	PROPN
cana-2668	8	8	(	(	PUNCT
cana-2668	8	9	rr	rr	NOUN
cana-2668	8	10	)	)	PUNCT
cana-2668	8	11	student	student	NOUN
cana-2668	8	12	performance	performance	NOUN
cana-2668	8	13	prediction	prediction	NOUN
cana-2668	8	14	model	model	NOUN
cana-2668	8	15	based	base	VERB
cana-2668	8	16	on	on	ADP
cana-2668	8	17	a	a	DET
cana-2668	8	18	sophisticated	sophisticated	ADJ
cana-2668	8	19	ensemble	ensemble	ADJ
cana-2668	8	20	machine	machine	NOUN
cana-2668	8	21	learning	learning	NOUN
cana-2668	8	22	approach	approach	NOUN
cana-2668	8	23	.	.	PUNCT
cana-2668	9	1	our	our	PRON
cana-2668	9	2	model	model	NOUN
cana-2668	9	3	incorporates	incorporate	VERB
cana-2668	9	4	a	a	DET
cana-2668	9	5	stack	stack	NOUN
cana-2668	9	6	of	of	ADP
cana-2668	9	7	four	four	NUM
cana-2668	9	8	multiclass	multiclass	ADJ
cana-2668	9	9	classifiers	classifier	NOUN
cana-2668	9	10	,	,	PUNCT
cana-2668	9	11	namely	namely	ADV
cana-2668	9	12	decision	decision	NOUN
cana-2668	9	13	tree	tree	NOUN
cana-2668	9	14	,	,	PUNCT
cana-2668	9	15	k	k	NOUN
cana-2668	9	16	-	-	PUNCT
cana-2668	9	17	nearest	near	ADJ
cana-2668	9	18	neighbor	neighbor	NOUN
cana-2668	9	19	,	,	PUNCT
cana-2668	9	20	naïve	naïve	ADJ
cana-2668	9	21	bayes	bayes	NOUN
cana-2668	9	22	,	,	PUNCT
cana-2668	9	23	and	and	CCONJ
cana-2668	9	24	one	one	NUM
cana-2668	9	25	vs.	vs.	ADP
cana-2668	9	26	rest	rest	NOUN
cana-2668	9	27	support	support	NOUN
cana-2668	9	28	vector	vector	NOUN
cana-2668	9	29	machine	machine	NOUN
cana-2668	9	30	classifiers	classifier	NOUN
cana-2668	9	31	,	,	PUNCT
cana-2668	9	32	and	and	CCONJ
cana-2668	9	33	demonstrates	demonstrate	VERB
cana-2668	9	34	a	a	DET
cana-2668	9	35	remarkable	remarkable	ADJ
cana-2668	9	36	accuracy	accuracy	NOUN
cana-2668	9	37	rate	rate	NOUN
cana-2668	9	38	of	of	ADP
cana-2668	9	39	80	80	NUM
cana-2668	9	40	%	%	NOUN
cana-2668	9	41	for	for	ADP
cana-2668	9	42	predicting	predict	VERB
cana-2668	9	43	the	the	DET
cana-2668	9	44	most	most	ADV
cana-2668	9	45	suitable	suitable	ADJ
cana-2668	9	46	academic	academic	ADJ
cana-2668	9	47	stream	stream	NOUN
cana-2668	9	48	for	for	ADP
cana-2668	9	49	a	a	DET
cana-2668	9	50	student	student	NOUN
cana-2668	9	51	in	in	ADP
cana-2668	9	52	an	an	DET
cana-2668	9	53	institution	institution	NOUN
cana-2668	9	54	.	.	PUNCT
cana-2668	10	1	to	to	PART
cana-2668	10	2	develop	develop	VERB
cana-2668	10	3	this	this	DET
cana-2668	10	4	model	model	NOUN
cana-2668	10	5	,	,	PUNCT
cana-2668	10	6	we	we	PRON
cana-2668	10	7	utilized	utilize	VERB
cana-2668	10	8	data	datum	NOUN
cana-2668	10	9	from	from	ADP
cana-2668	10	10	five	five	NUM
cana-2668	10	11	distinct	distinct	ADJ
cana-2668	10	12	branches	branch	NOUN
cana-2668	10	13	of	of	ADP
cana-2668	10	14	students	student	NOUN
cana-2668	10	15	.	.	PUNCT
cana-2668	11	1	we	we	PRON
cana-2668	11	2	aim	aim	VERB
cana-2668	11	3	to	to	PART
cana-2668	11	4	enhance	enhance	VERB
cana-2668	11	5	students	student	NOUN
cana-2668	11	6	'	'	PART
cana-2668	11	7	academic	academic	ADJ
cana-2668	11	8	success	success	NOUN
cana-2668	11	9	so	so	SCONJ
cana-2668	11	10	they	they	PRON
cana-2668	11	11	can	can	AUX
cana-2668	11	12	complete	complete	VERB
cana-2668	11	13	their	their	PRON
cana-2668	11	14	degrees	degree	NOUN
cana-2668	11	15	with	with	ADP
cana-2668	11	16	excellent	excellent	ADJ
cana-2668	11	17	grades	grade	NOUN
cana-2668	11	18	.	.	PUNCT
cana-2668	12	1	exploring	explore	VERB
cana-2668	12	2	our	our	PRON
cana-2668	12	3	model	model	NOUN
cana-2668	12	4	in	in	ADP
cana-2668	12	5	the	the	DET
cana-2668	12	6	education	education	NOUN
cana-2668	12	7	sector	sector	NOUN
cana-2668	12	8	empowers	empower	VERB
cana-2668	12	9	students	student	NOUN
cana-2668	12	10	with	with	ADP
cana-2668	12	11	the	the	DET
cana-2668	12	12	timely	timely	ADJ
cana-2668	12	13	facilities	facility	NOUN
cana-2668	12	14	they	they	PRON
cana-2668	12	15	need	need	VERB
cana-2668	12	16	for	for	ADP
cana-2668	12	17	a	a	DET
cana-2668	12	18	successful	successful	ADJ
cana-2668	12	19	and	and	CCONJ
cana-2668	12	20	fulfilling	fulfil	VERB
cana-2668	12	21	educational	educational	ADJ
cana-2668	12	22	journey	journey	NOUN
cana-2668	12	23	.	.	PUNCT
cana-2668	13	1	keywords	keyword	NOUN
cana-2668	13	2	:	:	PUNCT
cana-2668	13	3	academic	academic	ADJ
cana-2668	13	4	guidance	guidance	NOUN
cana-2668	13	5	;	;	PUNCT
cana-2668	13	6	decision	decision	NOUN
cana-2668	13	7	tree	tree	NOUN
cana-2668	13	8	;	;	PUNCT
cana-2668	13	9	k	k	X
cana-2668	13	10	-	-	PUNCT
cana-2668	13	11	nearest	near	ADJ
cana-2668	13	12	neighbor	neighbor	NOUN
cana-2668	13	13	;	;	PUNCT
cana-2668	13	14	naïve	naïve	ADJ
cana-2668	13	15	bayes	bayes	NOUN
cana-2668	13	16	;	;	PUNCT
cana-2668	13	17	one	one	NUM
cana-2668	13	18	vs.	vs.	ADP
cana-2668	13	19	rest	rest	NOUN
cana-2668	13	20	support	support	NOUN
cana-2668	13	21	vector	vector	NOUN
cana-2668	13	22	machine	machine	NOUN
cana-2668	13	23	;	;	PUNCT
cana-2668	13	24	ensemble	ensemble	ADJ
cana-2668	13	25	machine	machine	NOUN
cana-2668	13	26	learning	learning	NOUN
cana-2668	13	27	.	.	PUNCT
cana-2668	14	1	1	1	X
cana-2668	14	2	.	.	X
cana-2668	14	3	introduction	introduction	NOUN
cana-2668	14	4	a	a	DET
cana-2668	14	5	student	student	NOUN
cana-2668	14	6	's	's	PART
cana-2668	14	7	academic	academic	ADJ
cana-2668	14	8	success	success	NOUN
cana-2668	14	9	is	be	AUX
cana-2668	14	10	of	of	ADP
cana-2668	14	11	utmost	utmost	ADJ
cana-2668	14	12	importance	importance	NOUN
cana-2668	14	13	as	as	SCONJ
cana-2668	14	14	it	it	PRON
cana-2668	14	15	serves	serve	VERB
cana-2668	14	16	as	as	ADP
cana-2668	14	17	the	the	DET
cana-2668	14	18	pivot	pivot	NOUN
cana-2668	14	19	that	that	PRON
cana-2668	14	20	determines	determine	VERB
cana-2668	14	21	their	their	PRON
cana-2668	14	22	future	future	ADJ
cana-2668	14	23	path	path	NOUN
cana-2668	14	24	.	.	PUNCT
cana-2668	15	1	the	the	DET
cana-2668	15	2	two	two	NUM
cana-2668	15	3	phases	phase	NOUN
cana-2668	15	4	of	of	ADP
cana-2668	15	5	a	a	DET
cana-2668	15	6	student	student	NOUN
cana-2668	15	7	's	's	PART
cana-2668	15	8	educational	educational	ADJ
cana-2668	15	9	journey	journey	NOUN
cana-2668	15	10	are	be	AUX
cana-2668	15	11	the	the	DET
cana-2668	15	12	foundational	foundational	ADJ
cana-2668	15	13	school	school	NOUN
cana-2668	15	14	education	education	NOUN
cana-2668	15	15	and	and	CCONJ
cana-2668	15	16	the	the	DET
cana-2668	15	17	succeeding	succeed	VERB
cana-2668	15	18	college	college	NOUN
cana-2668	15	19	education	education	NOUN
cana-2668	15	20	.	.	PUNCT
cana-2668	16	1	after	after	ADP
cana-2668	16	2	graduation	graduation	NOUN
cana-2668	16	3	,	,	PUNCT
cana-2668	16	4	students	student	NOUN
cana-2668	16	5	face	face	VERB
cana-2668	16	6	many	many	ADJ
cana-2668	16	7	duties	duty	NOUN
cana-2668	16	8	,	,	PUNCT
cana-2668	16	9	all	all	PRON
cana-2668	16	10	of	of	ADP
cana-2668	16	11	which	which	PRON
cana-2668	16	12	play	play	VERB
cana-2668	16	13	a	a	DET
cana-2668	16	14	part	part	NOUN
cana-2668	16	15	in	in	ADP
cana-2668	16	16	shaping	shape	VERB
cana-2668	16	17	their	their	PRON
cana-2668	16	18	future	future	NOUN
cana-2668	16	19	.	.	PUNCT
cana-2668	17	1	choosing	choose	VERB
cana-2668	17	2	a	a	DET
cana-2668	17	3	career	career	NOUN
cana-2668	17	4	stream	stream	NOUN
cana-2668	17	5	is	be	AUX
cana-2668	17	6	essential	essential	ADJ
cana-2668	17	7	and	and	CCONJ
cana-2668	17	8	forms	form	VERB
cana-2668	17	9	the	the	DET
cana-2668	17	10	cornerstone	cornerstone	NOUN
cana-2668	17	11	of	of	ADP
cana-2668	17	12	their	their	PRON
cana-2668	17	13	future	future	ADJ
cana-2668	17	14	professional	professional	ADJ
cana-2668	17	15	journey	journey	NOUN
cana-2668	17	16	.	.	PUNCT
cana-2668	18	1	this	this	DET
cana-2668	18	2	decision	decision	NOUN
cana-2668	18	3	requires	require	VERB
cana-2668	18	4	careful	careful	ADJ
cana-2668	18	5	consideration	consideration	NOUN
cana-2668	18	6	and	and	CCONJ
cana-2668	18	7	judgment	judgment	NOUN
cana-2668	18	8	because	because	SCONJ
cana-2668	18	9	,	,	PUNCT
cana-2668	18	10	once	once	ADV
cana-2668	18	11	taken	take	VERB
cana-2668	18	12	,	,	PUNCT
cana-2668	18	13	it	it	PRON
cana-2668	18	14	is	be	AUX
cana-2668	18	15	difficult	difficult	ADJ
cana-2668	18	16	to	to	PART
cana-2668	18	17	undo	undo	VERB
cana-2668	18	18	.	.	PUNCT
cana-2668	19	1	after	after	ADP
cana-2668	19	2	middle	middle	ADJ
cana-2668	19	3	school	school	NOUN
cana-2668	19	4	,	,	PUNCT
cana-2668	19	5	the	the	DET
cana-2668	19	6	curriculum	curriculum	NOUN
cana-2668	19	7	opens	open	VERB
cana-2668	19	8	into	into	ADP
cana-2668	19	9	main	main	ADJ
cana-2668	19	10	disciplines	discipline	NOUN
cana-2668	19	11	,	,	PUNCT
cana-2668	19	12	including	include	VERB
cana-2668	19	13	non	non	ADJ
cana-2668	19	14	-	-	ADJ
cana-2668	19	15	medical	medical	ADJ
cana-2668	19	16	science	science	NOUN
cana-2668	19	17	,	,	PUNCT
cana-2668	19	18	medical	medical	ADJ
cana-2668	19	19	science	science	NOUN
cana-2668	19	20	,	,	PUNCT
cana-2668	19	21	commerce	commerce	NOUN
cana-2668	19	22	,	,	PUNCT
cana-2668	19	23	and	and	CCONJ
cana-2668	19	24	the	the	DET
cana-2668	19	25	arts	art	NOUN
cana-2668	19	26	.	.	PUNCT
cana-2668	20	1	somewhere	somewhere	ADV
cana-2668	20	2	,	,	PUNCT
cana-2668	20	3	educational	educational	ADJ
cana-2668	20	4	policies	policy	NOUN
cana-2668	20	5	allow	allow	VERB
cana-2668	20	6	students	student	NOUN
cana-2668	20	7	to	to	PART
cana-2668	20	8	create	create	VERB
cana-2668	20	9	a	a	DET
cana-2668	20	10	personalized	personalized	ADJ
cana-2668	20	11	curriculum	curriculum	NOUN
cana-2668	20	12	,	,	PUNCT
cana-2668	20	13	which	which	PRON
cana-2668	20	14	adds	add	VERB
cana-2668	20	15	a	a	DET
cana-2668	20	16	deeper	deep	ADJ
cana-2668	20	17	level	level	NOUN
cana-2668	20	18	of	of	ADP
cana-2668	20	19	complexity	complexity	NOUN
cana-2668	20	20	to	to	ADP
cana-2668	20	21	their	their	PRON
cana-2668	20	22	academics	academic	NOUN
cana-2668	20	23	.	.	PUNCT
cana-2668	21	1	students	student	NOUN
cana-2668	21	2	who	who	PRON
cana-2668	21	3	prefer	prefer	VERB
cana-2668	21	4	the	the	DET
cana-2668	21	5	arts	art	NOUN
cana-2668	21	6	,	,	PUNCT
cana-2668	21	7	business	business	NOUN
cana-2668	21	8	,	,	PUNCT
cana-2668	21	9	or	or	CCONJ
cana-2668	21	10	medical	medical	ADJ
cana-2668	21	11	sciences	science	NOUN
cana-2668	21	12	have	have	VERB
cana-2668	21	13	limited	limit	VERB
cana-2668	21	14	college	college	NOUN
cana-2668	21	15	-	-	PUNCT
cana-2668	21	16	level	level	NOUN
cana-2668	21	17	course	course	NOUN
cana-2668	21	18	alternatives	alternative	NOUN
cana-2668	21	19	.	.	PUNCT
cana-2668	22	1	the	the	DET
cana-2668	22	2	available	available	ADJ
cana-2668	22	3	options	option	NOUN
cana-2668	22	4	correspond	correspond	VERB
cana-2668	22	5	to	to	ADP
cana-2668	22	6	their	their	PRON
cana-2668	22	7	interests	interest	NOUN
cana-2668	22	8	and	and	CCONJ
cana-2668	22	9	skills	skill	NOUN
cana-2668	22	10	in	in	ADP
cana-2668	22	11	the	the	DET
cana-2668	22	12	core	core	ADJ
cana-2668	22	13	topics	topic	NOUN
cana-2668	22	14	they	they	PRON
cana-2668	22	15	studied	study	VERB
cana-2668	22	16	at	at	ADP
cana-2668	22	17	the	the	DET
cana-2668	22	18	school	school	NOUN
cana-2668	22	19	level	level	NOUN
cana-2668	22	20	.	.	PUNCT
cana-2668	23	1	conversely	conversely	ADV
cana-2668	23	2	,	,	PUNCT
cana-2668	23	3	students	student	NOUN
cana-2668	23	4	studying	study	VERB
cana-2668	23	5	sciences	science	NOUN
cana-2668	23	6	in	in	ADP
cana-2668	23	7	schools	school	NOUN
cana-2668	23	8	other	other	ADJ
cana-2668	23	9	than	than	ADP
cana-2668	23	10	medicine	medicine	NOUN
cana-2668	23	11	communications	communication	NOUN
cana-2668	23	12	on	on	ADP
cana-2668	23	13	applied	apply	VERB
cana-2668	23	14	nonlinear	nonlinear	ADJ
cana-2668	23	15	analysis	analysis	NOUN
cana-2668	23	16	issn	issn	NOUN
cana-2668	23	17	:	:	PUNCT
cana-2668	23	18	1074	1074	NUM
cana-2668	23	19	-	-	PUNCT
cana-2668	23	20	133x	133x	NUM
cana-2668	23	21	vol	vol	NOUN
cana-2668	23	22	32	32	NUM
cana-2668	23	23	no	no	NOUN
cana-2668	23	24	.	.	PUNCT
cana-2668	24	1	3s	3s	NUM
cana-2668	24	2	(	(	PUNCT
cana-2668	24	3	2025	2025	NUM
cana-2668	24	4	)	)	PUNCT
cana-2668	24	5	407	407	NUM
cana-2668	24	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2668	24	7	choose	choose	VERB
cana-2668	24	8	engineering	engineering	NOUN
cana-2668	24	9	as	as	ADP
cana-2668	24	10	their	their	PRON
cana-2668	24	11	primary	primary	ADJ
cana-2668	24	12	choice	choice	NOUN
cana-2668	24	13	,	,	PUNCT
cana-2668	24	14	with	with	ADP
cana-2668	24	15	a	a	DET
cana-2668	24	16	wide	wide	ADJ
cana-2668	24	17	range	range	NOUN
cana-2668	24	18	of	of	ADP
cana-2668	24	19	specializations	specialization	NOUN
cana-2668	24	20	and	and	CCONJ
cana-2668	24	21	subfields	subfield	NOUN
cana-2668	24	22	available	available	ADJ
cana-2668	24	23	.	.	PUNCT
cana-2668	25	1	a	a	DET
cana-2668	25	2	student	student	NOUN
cana-2668	25	3	's	's	PART
cana-2668	25	4	academic	academic	ADJ
cana-2668	25	5	success	success	NOUN
cana-2668	25	6	is	be	AUX
cana-2668	25	7	a	a	DET
cana-2668	25	8	crucial	crucial	ADJ
cana-2668	25	9	pillar	pillar	NOUN
cana-2668	25	10	that	that	PRON
cana-2668	25	11	significantly	significantly	ADV
cana-2668	25	12	impacts	impact	VERB
cana-2668	25	13	their	their	PRON
cana-2668	25	14	future	future	ADJ
cana-2668	25	15	path	path	NOUN
cana-2668	25	16	.	.	PUNCT
cana-2668	26	1	a	a	DET
cana-2668	26	2	student	student	NOUN
cana-2668	26	3	's	's	PART
cana-2668	26	4	life	life	NOUN
cana-2668	26	5	is	be	AUX
cana-2668	26	6	played	play	VERB
cana-2668	26	7	out	out	ADP
cana-2668	26	8	in	in	ADP
cana-2668	26	9	two	two	NUM
cana-2668	26	10	parts	part	NOUN
cana-2668	26	11	:	:	PUNCT
cana-2668	26	12	one	one	NUM
cana-2668	26	13	at	at	ADP
cana-2668	26	14	the	the	DET
cana-2668	26	15	school	school	NOUN
cana-2668	26	16	level	level	NOUN
cana-2668	26	17	education	education	NOUN
cana-2668	26	18	and	and	CCONJ
cana-2668	26	19	the	the	DET
cana-2668	26	20	other	other	ADJ
cana-2668	26	21	at	at	ADP
cana-2668	26	22	college	college	NOUN
cana-2668	26	23	education	education	NOUN
cana-2668	26	24	after	after	ADP
cana-2668	26	25	school	school	NOUN
cana-2668	26	26	.	.	PUNCT
cana-2668	27	1	students	student	NOUN
cana-2668	27	2	are	be	AUX
cana-2668	27	3	burdened	burden	VERB
cana-2668	27	4	with	with	ADP
cana-2668	27	5	many	many	ADJ
cana-2668	27	6	duties	duty	NOUN
cana-2668	27	7	after	after	ADP
cana-2668	27	8	college	college	NOUN
cana-2668	27	9	,	,	PUNCT
cana-2668	27	10	each	each	PRON
cana-2668	27	11	shaping	shape	VERB
cana-2668	27	12	the	the	DET
cana-2668	27	13	course	course	NOUN
cana-2668	27	14	of	of	ADP
cana-2668	27	15	a	a	DET
cana-2668	27	16	more	more	ADV
cana-2668	27	17	promising	promising	ADJ
cana-2668	27	18	life	life	NOUN
cana-2668	27	19	.	.	PUNCT
cana-2668	28	1	the	the	DET
cana-2668	28	2	choice	choice	NOUN
cana-2668	28	3	of	of	ADP
cana-2668	28	4	career	career	NOUN
cana-2668	28	5	stream	stream	NOUN
cana-2668	28	6	is	be	AUX
cana-2668	28	7	a	a	DET
cana-2668	28	8	critical	critical	ADJ
cana-2668	28	9	turning	turning	NOUN
cana-2668	28	10	point	point	NOUN
cana-2668	28	11	that	that	PRON
cana-2668	28	12	will	will	AUX
cana-2668	28	13	determine	determine	VERB
cana-2668	28	14	their	their	PRON
cana-2668	28	15	future	future	ADJ
cana-2668	28	16	career	career	NOUN
cana-2668	28	17	path	path	NOUN
cana-2668	28	18	.	.	PUNCT
cana-2668	29	1	as	as	SCONJ
cana-2668	29	2	such	such	ADJ
cana-2668	29	3	,	,	PUNCT
cana-2668	29	4	once	once	ADV
cana-2668	29	5	taken	take	VERB
cana-2668	29	6	,	,	PUNCT
cana-2668	29	7	this	this	DET
cana-2668	29	8	choice	choice	NOUN
cana-2668	29	9	takes	take	VERB
cana-2668	29	10	a	a	DET
cana-2668	29	11	fearsome	fearsome	ADJ
cana-2668	29	12	permanence	permanence	NOUN
cana-2668	29	13	;	;	PUNCT
cana-2668	29	14	thus	thus	ADV
cana-2668	29	15	,	,	PUNCT
cana-2668	29	16	it	it	PRON
cana-2668	29	17	requires	require	VERB
cana-2668	29	18	careful	careful	ADJ
cana-2668	29	19	study	study	NOUN
cana-2668	29	20	.	.	PUNCT
cana-2668	30	1	after	after	ADP
cana-2668	30	2	completing	complete	VERB
cana-2668	30	3	intermediate	intermediate	ADJ
cana-2668	30	4	school	school	NOUN
cana-2668	30	5	,	,	PUNCT
cana-2668	30	6	the	the	DET
cana-2668	30	7	curriculum	curriculum	NOUN
cana-2668	30	8	opens	open	VERB
cana-2668	30	9	into	into	ADP
cana-2668	30	10	critical	critical	ADJ
cana-2668	30	11	courses	course	NOUN
cana-2668	30	12	,	,	PUNCT
cana-2668	30	13	including	include	VERB
cana-2668	30	14	,	,	PUNCT
cana-2668	30	15	but	but	CCONJ
cana-2668	30	16	not	not	PART
cana-2668	30	17	limited	limit	VERB
cana-2668	30	18	to	to	ADP
cana-2668	30	19	,	,	PUNCT
cana-2668	30	20	arts	art	NOUN
cana-2668	30	21	,	,	PUNCT
cana-2668	30	22	commerce	commerce	PROPN
cana-2668	30	23	,	,	PUNCT
cana-2668	30	24	medical	medical	ADJ
cana-2668	30	25	science	science	NOUN
cana-2668	30	26	,	,	PUNCT
cana-2668	30	27	and	and	CCONJ
cana-2668	30	28	non	non	ADJ
cana-2668	30	29	-	-	ADJ
cana-2668	30	30	medical	medical	ADJ
cana-2668	30	31	science	science	NOUN
cana-2668	30	32	.	.	PUNCT
cana-2668	31	1	a	a	DET
cana-2668	31	2	new	new	ADJ
cana-2668	31	3	curriculum	curriculum	NOUN
cana-2668	31	4	that	that	PRON
cana-2668	31	5	recognizes	recognize	VERB
cana-2668	31	6	changing	change	VERB
cana-2668	31	7	paradigms	paradigm	NOUN
cana-2668	31	8	allows	allow	VERB
cana-2668	31	9	students	student	NOUN
cana-2668	31	10	to	to	PART
cana-2668	31	11	customize	customize	VERB
cana-2668	31	12	their	their	PRON
cana-2668	31	13	course	course	NOUN
cana-2668	31	14	schedules	schedule	NOUN
cana-2668	31	15	.	.	PUNCT
cana-2668	32	1	within	within	ADP
cana-2668	32	2	the	the	DET
cana-2668	32	3	arts	art	NOUN
cana-2668	32	4	,	,	PUNCT
cana-2668	32	5	business	business	NOUN
cana-2668	32	6	,	,	PUNCT
cana-2668	32	7	and	and	CCONJ
cana-2668	32	8	medical	medical	ADJ
cana-2668	32	9	science	science	NOUN
cana-2668	32	10	fields	field	NOUN
cana-2668	32	11	,	,	PUNCT
cana-2668	32	12	the	the	DET
cana-2668	32	13	variety	variety	NOUN
cana-2668	32	14	of	of	ADP
cana-2668	32	15	college	college	NOUN
cana-2668	32	16	possibilities	possibility	NOUN
cana-2668	32	17	corresponds	correspond	VERB
cana-2668	32	18	well	well	ADV
cana-2668	32	19	with	with	ADP
cana-2668	32	20	personal	personal	ADJ
cana-2668	32	21	preferences	preference	NOUN
cana-2668	32	22	and	and	CCONJ
cana-2668	32	23	skills	skill	NOUN
cana-2668	32	24	developed	develop	VERB
cana-2668	32	25	in	in	ADP
cana-2668	32	26	core	core	ADJ
cana-2668	32	27	topics	topic	NOUN
cana-2668	32	28	.	.	PUNCT
cana-2668	33	1	on	on	ADP
cana-2668	33	2	the	the	DET
cana-2668	33	3	other	other	ADJ
cana-2668	33	4	hand	hand	NOUN
cana-2668	33	5	,	,	PUNCT
cana-2668	33	6	students	student	NOUN
cana-2668	33	7	studying	study	VERB
cana-2668	33	8	non	non	ADJ
cana-2668	33	9	-	-	ADJ
cana-2668	33	10	medical	medical	ADJ
cana-2668	33	11	sciences	science	NOUN
cana-2668	33	12	tend	tend	VERB
cana-2668	33	13	to	to	PART
cana-2668	33	14	go	go	VERB
cana-2668	33	15	into	into	ADP
cana-2668	33	16	engineering	engineering	NOUN
cana-2668	33	17	,	,	PUNCT
cana-2668	33	18	which	which	PRON
cana-2668	33	19	is	be	AUX
cana-2668	33	20	their	their	PRON
cana-2668	33	21	favourite	favourite	ADJ
cana-2668	33	22	career	career	NOUN
cana-2668	33	23	path	path	NOUN
cana-2668	33	24	with	with	ADP
cana-2668	33	25	a	a	DET
cana-2668	33	26	wide	wide	ADJ
cana-2668	33	27	range	range	NOUN
cana-2668	33	28	of	of	ADP
cana-2668	33	29	specialized	specialized	ADJ
cana-2668	33	30	specializations	specialization	NOUN
cana-2668	33	31	.	.	PUNCT
cana-2668	34	1	there	there	PRON
cana-2668	34	2	are	be	VERB
cana-2668	34	3	many	many	ADJ
cana-2668	34	4	options	option	NOUN
cana-2668	34	5	available	available	ADJ
cana-2668	34	6	to	to	ADP
cana-2668	34	7	a	a	DET
cana-2668	34	8	non	non	ADJ
cana-2668	34	9	-	-	ADJ
cana-2668	34	10	medical	medical	ADJ
cana-2668	34	11	science	science	NOUN
cana-2668	34	12	student	student	NOUN
cana-2668	34	13	,	,	PUNCT
cana-2668	34	14	including	include	VERB
cana-2668	34	15	computer	computer	NOUN
cana-2668	34	16	applications	application	NOUN
cana-2668	34	17	,	,	PUNCT
cana-2668	34	18	business	business	NOUN
cana-2668	34	19	administration	administration	NOUN
cana-2668	34	20	,	,	PUNCT
cana-2668	34	21	science	science	NOUN
cana-2668	34	22	courses	course	NOUN
cana-2668	34	23	,	,	PUNCT
cana-2668	34	24	and	and	CCONJ
cana-2668	34	25	science	science	NOUN
cana-2668	34	26	honors	honor	NOUN
cana-2668	34	27	,	,	PUNCT
cana-2668	34	28	to	to	PART
cana-2668	34	29	name	name	VERB
cana-2668	34	30	just	just	ADV
cana-2668	34	31	a	a	DET
cana-2668	34	32	few	few	ADJ
cana-2668	34	33	.	.	PUNCT
cana-2668	35	1	for	for	ADP
cana-2668	35	2	parents	parent	NOUN
cana-2668	35	3	and	and	CCONJ
cana-2668	35	4	students	student	NOUN
cana-2668	35	5	alike	alike	ADV
cana-2668	35	6	,	,	PUNCT
cana-2668	35	7	navigating	navigate	VERB
cana-2668	35	8	this	this	DET
cana-2668	35	9	sea	sea	NOUN
cana-2668	35	10	of	of	ADP
cana-2668	35	11	options	option	NOUN
cana-2668	35	12	is	be	AUX
cana-2668	35	13	daunting	daunt	VERB
cana-2668	35	14	.	.	PUNCT
cana-2668	36	1	making	make	VERB
cana-2668	36	2	a	a	DET
cana-2668	36	3	wise	wise	ADJ
cana-2668	36	4	choice	choice	NOUN
cana-2668	36	5	might	might	AUX
cana-2668	36	6	help	help	VERB
cana-2668	36	7	a	a	DET
cana-2668	36	8	student	student	NOUN
cana-2668	36	9	succeed	succeed	VERB
cana-2668	36	10	academically	academically	ADV
cana-2668	36	11	,	,	PUNCT
cana-2668	36	12	while	while	SCONJ
cana-2668	36	13	making	make	VERB
cana-2668	36	14	a	a	DET
cana-2668	36	15	wrong	wrong	ADJ
cana-2668	36	16	choice	choice	NOUN
cana-2668	36	17	can	can	AUX
cana-2668	36	18	lead	lead	VERB
cana-2668	36	19	to	to	ADP
cana-2668	36	20	a	a	DET
cana-2668	36	21	nightmare	nightmare	NOUN
cana-2668	36	22	.	.	PUNCT
cana-2668	37	1	erroneous	erroneous	ADJ
cana-2668	37	2	stream	stream	NOUN
cana-2668	37	3	selection	selection	NOUN
cana-2668	37	4	by	by	ADP
cana-2668	37	5	students	student	NOUN
cana-2668	37	6	has	have	VERB
cana-2668	37	7	far	far	ADV
cana-2668	37	8	-	-	PUNCT
cana-2668	37	9	reaching	reach	VERB
cana-2668	37	10	consequences	consequence	NOUN
cana-2668	37	11	that	that	PRON
cana-2668	37	12	affect	affect	VERB
cana-2668	37	13	not	not	PART
cana-2668	37	14	just	just	ADV
cana-2668	37	15	the	the	DET
cana-2668	37	16	individual	individual	NOUN
cana-2668	37	17	but	but	CCONJ
cana-2668	37	18	all	all	DET
cana-2668	37	19	parties	party	NOUN
cana-2668	37	20	involved	involve	VERB
cana-2668	37	21	in	in	ADP
cana-2668	37	22	an	an	DET
cana-2668	37	23	educational	educational	ADJ
cana-2668	37	24	setting	setting	NOUN
cana-2668	37	25	,	,	PUNCT
cana-2668	37	26	including	include	VERB
cana-2668	37	27	parents	parent	NOUN
cana-2668	37	28	,	,	PUNCT
cana-2668	37	29	instructors	instructor	NOUN
cana-2668	37	30	,	,	PUNCT
cana-2668	37	31	administrators	administrator	NOUN
cana-2668	37	32	,	,	PUNCT
cana-2668	37	33	managers	manager	NOUN
cana-2668	37	34	,	,	PUNCT
cana-2668	37	35	and	and	CCONJ
cana-2668	37	36	society	society	NOUN
cana-2668	37	37	.	.	PUNCT
cana-2668	38	1	in	in	ADP
cana-2668	38	2	our	our	PRON
cana-2668	38	3	research	research	NOUN
cana-2668	38	4	endeavors	endeavor	NOUN
cana-2668	38	5	,	,	PUNCT
cana-2668	38	6	we	we	PRON
cana-2668	38	7	have	have	AUX
cana-2668	38	8	harnessed	harness	VERB
cana-2668	38	9	our	our	PRON
cana-2668	38	10	previously	previously	ADV
cana-2668	38	11	proposed	propose	VERB
cana-2668	38	12	student	student	NOUN
cana-2668	38	13	performance	performance	NOUN
cana-2668	38	14	prediction	prediction	NOUN
cana-2668	38	15	model	model	NOUN
cana-2668	38	16	emlrr(ensemble	emlrr(ensemble	ADJ
cana-2668	38	17	machine	machine	NOUN
cana-2668	38	18	learning	learn	VERB
cana-2668	38	19	rajan	rajan	PROPN
cana-2668	38	20	and	and	CCONJ
cana-2668	38	21	rai	rai	PROPN
cana-2668	38	22	model	model	PROPN
cana-2668	38	23	)	)	PUNCT
cana-2668	39	1	[	[	X
cana-2668	39	2	1	1	X
cana-2668	39	3	]	]	PUNCT
cana-2668	39	4	to	to	PART
cana-2668	39	5	forecast	forecast	VERB
cana-2668	39	6	a	a	DET
cana-2668	39	7	student	student	NOUN
cana-2668	39	8	's	's	PART
cana-2668	39	9	most	most	ADV
cana-2668	39	10	fitting	fitting	ADJ
cana-2668	39	11	academic	academic	ADJ
cana-2668	39	12	stream	stream	NOUN
cana-2668	39	13	.	.	PUNCT
cana-2668	40	1	designed	design	VERB
cana-2668	40	2	initially	initially	ADV
cana-2668	40	3	to	to	PART
cana-2668	40	4	anticipate	anticipate	VERB
cana-2668	40	5	academic	academic	ADJ
cana-2668	40	6	success	success	NOUN
cana-2668	40	7	at	at	ADP
cana-2668	40	8	the	the	DET
cana-2668	40	9	earliest	early	ADJ
cana-2668	40	10	juncture	juncture	NOUN
cana-2668	40	11	,	,	PUNCT
cana-2668	40	12	our	our	PRON
cana-2668	40	13	rr	rr	PROPN
cana-2668	40	14	model	model	NOUN
cana-2668	40	15	strives	strive	VERB
cana-2668	40	16	to	to	PART
cana-2668	40	17	facilitate	facilitate	VERB
cana-2668	40	18	timely	timely	ADJ
cana-2668	40	19	interventions	intervention	NOUN
cana-2668	40	20	.	.	PUNCT
cana-2668	41	1	selecting	select	VERB
cana-2668	41	2	an	an	DET
cana-2668	41	3	appropriate	appropriate	ADJ
cana-2668	41	4	stream	stream	NOUN
cana-2668	41	5	post	post	ADJ
cana-2668	41	6	-	-	ADJ
cana-2668	41	7	senior	senior	ADJ
cana-2668	41	8	secondary	secondary	ADJ
cana-2668	41	9	school	school	NOUN
cana-2668	41	10	is	be	AUX
cana-2668	41	11	pivotal	pivotal	ADJ
cana-2668	41	12	to	to	ADP
cana-2668	41	13	a	a	DET
cana-2668	41	14	student	student	NOUN
cana-2668	41	15	's	's	PART
cana-2668	41	16	academic	academic	ADJ
cana-2668	41	17	triumph	triumph	NOUN
cana-2668	41	18	.	.	PUNCT
cana-2668	42	1	thus	thus	ADV
cana-2668	42	2	,	,	PUNCT
cana-2668	42	3	we	we	PRON
cana-2668	42	4	have	have	AUX
cana-2668	42	5	adapted	adapt	VERB
cana-2668	42	6	the	the	DET
cana-2668	42	7	same	same	ADJ
cana-2668	42	8	predictive	predictive	ADJ
cana-2668	42	9	model	model	NOUN
cana-2668	42	10	to	to	PART
cana-2668	42	11	ascertain	ascertain	VERB
cana-2668	42	12	the	the	DET
cana-2668	42	13	optimal	optimal	ADJ
cana-2668	42	14	stream	stream	NOUN
cana-2668	42	15	for	for	ADP
cana-2668	42	16	a	a	DET
cana-2668	42	17	student	student	NOUN
cana-2668	42	18	's	's	PART
cana-2668	42	19	educational	educational	ADJ
cana-2668	42	20	success	success	NOUN
cana-2668	42	21	.	.	PUNCT
cana-2668	43	1	our	our	PRON
cana-2668	43	2	dataset	dataset	NOUN
cana-2668	43	3	encompasses	encompass	VERB
cana-2668	43	4	over	over	ADP
cana-2668	43	5	2000	2000	NUM
cana-2668	43	6	students	student	NOUN
cana-2668	43	7	from	from	ADP
cana-2668	43	8	four	four	NUM
cana-2668	43	9	engineering	engineering	NOUN
cana-2668	43	10	branches	branch	NOUN
cana-2668	43	11	and	and	CCONJ
cana-2668	43	12	the	the	DET
cana-2668	43	13	bachelor	bachelor	NOUN
cana-2668	43	14	of	of	ADP
cana-2668	43	15	computer	computer	NOUN
cana-2668	43	16	applications	application	NOUN
cana-2668	43	17	(	(	PUNCT
cana-2668	43	18	bca	bca	NOUN
cana-2668	43	19	)	)	PUNCT
cana-2668	43	20	program	program	NOUN
cana-2668	43	21	at	at	ADP
cana-2668	43	22	the	the	DET
cana-2668	43	23	panipat	panipat	PROPN
cana-2668	43	24	institute	institute	PROPN
cana-2668	43	25	of	of	ADP
cana-2668	43	26	engineering	engineering	NOUN
cana-2668	43	27	and	and	CCONJ
cana-2668	43	28	technology	technology	NOUN
cana-2668	43	29	(	(	PUNCT
cana-2668	43	30	piet	piet	ADJ
cana-2668	43	31	)	)	PUNCT
cana-2668	43	32	.	.	PUNCT
cana-2668	44	1	while	while	SCONJ
cana-2668	44	2	a	a	DET
cana-2668	44	3	multitude	multitude	NOUN
cana-2668	44	4	of	of	ADP
cana-2668	44	5	platforms	platform	NOUN
cana-2668	44	6	and	and	CCONJ
cana-2668	44	7	applications	application	NOUN
cana-2668	44	8	exist	exist	VERB
cana-2668	44	9	for	for	ADP
cana-2668	44	10	stream	stream	NOUN
cana-2668	44	11	/	/	SYM
cana-2668	44	12	subject	subject	NOUN
cana-2668	44	13	selection	selection	NOUN
cana-2668	44	14	,	,	PUNCT
cana-2668	44	15	often	often	ADV
cana-2668	44	16	relying	rely	VERB
cana-2668	44	17	on	on	ADP
cana-2668	44	18	quizzes	quiz	NOUN
cana-2668	44	19	or	or	CCONJ
cana-2668	44	20	small	small	ADJ
cana-2668	44	21	tests	test	NOUN
cana-2668	44	22	,	,	PUNCT
cana-2668	44	23	many	many	ADJ
cana-2668	44	24	operate	operate	VERB
cana-2668	44	25	on	on	ADP
cana-2668	44	26	parameters	parameter	NOUN
cana-2668	44	27	such	such	ADJ
cana-2668	44	28	as	as	ADP
cana-2668	44	29	gender	gender	NOUN
cana-2668	44	30	,	,	PUNCT
cana-2668	44	31	parents	parent	NOUN
cana-2668	44	32	'	'	PART
cana-2668	44	33	income	income	NOUN
cana-2668	44	34	and	and	CCONJ
cana-2668	44	35	education	education	NOUN
cana-2668	44	36	,	,	PUNCT
cana-2668	44	37	student	student	NOUN
cana-2668	44	38	's	's	PART
cana-2668	44	39	preferences	preference	NOUN
cana-2668	44	40	,	,	PUNCT
cana-2668	44	41	guidance	guidance	NOUN
cana-2668	44	42	from	from	ADP
cana-2668	44	43	relatives	relative	NOUN
cana-2668	44	44	,	,	PUNCT
cana-2668	44	45	school	school	NOUN
cana-2668	44	46	-	-	PUNCT
cana-2668	44	47	level	level	NOUN
cana-2668	44	48	percentage	percentage	NOUN
cana-2668	44	49	or	or	CCONJ
cana-2668	44	50	cgpa	cgpa	PROPN
cana-2668	44	51	,	,	PUNCT
cana-2668	44	52	college	college	NOUN
cana-2668	44	53	reputation	reputation	NOUN
cana-2668	44	54	,	,	PUNCT
cana-2668	44	55	trending	trend	VERB
cana-2668	44	56	courses	course	NOUN
cana-2668	44	57	,	,	PUNCT
cana-2668	44	58	and	and	CCONJ
cana-2668	44	59	market	market	NOUN
cana-2668	44	60	demand	demand	NOUN
cana-2668	44	61	.	.	PUNCT
cana-2668	45	1	unfortunately	unfortunately	ADV
cana-2668	45	2	,	,	PUNCT
cana-2668	45	3	these	these	DET
cana-2668	45	4	methods	method	NOUN
cana-2668	45	5	may	may	AUX
cana-2668	45	6	lead	lead	VERB
cana-2668	45	7	to	to	ADP
cana-2668	45	8	selecting	select	VERB
cana-2668	45	9	a	a	DET
cana-2668	45	10	course	course	NOUN
cana-2668	45	11	misaligned	misalign	VERB
cana-2668	45	12	with	with	ADP
cana-2668	45	13	a	a	DET
cana-2668	45	14	student	student	NOUN
cana-2668	45	15	's	's	PART
cana-2668	45	16	interests	interest	NOUN
cana-2668	45	17	or	or	CCONJ
cana-2668	45	18	one	one	NUM
cana-2668	45	19	that	that	PRON
cana-2668	45	20	loses	lose	VERB
cana-2668	45	21	market	market	NOUN
cana-2668	45	22	relevance	relevance	NOUN
cana-2668	45	23	after	after	ADP
cana-2668	45	24	a	a	DET
cana-2668	45	25	few	few	ADJ
cana-2668	45	26	years	year	NOUN
cana-2668	45	27	.	.	PUNCT
cana-2668	46	1	communications	communication	NOUN
cana-2668	46	2	on	on	ADP
cana-2668	46	3	applied	apply	VERB
cana-2668	46	4	nonlinear	nonlinear	ADJ
cana-2668	46	5	analysis	analysis	NOUN
cana-2668	46	6	issn	issn	NOUN
cana-2668	46	7	:	:	PUNCT
cana-2668	46	8	1074	1074	NUM
cana-2668	46	9	-	-	PUNCT
cana-2668	46	10	133x	133x	NUM
cana-2668	46	11	vol	vol	NOUN
cana-2668	46	12	32	32	NUM
cana-2668	46	13	no	no	NOUN
cana-2668	46	14	.	.	PUNCT
cana-2668	47	1	3s	3s	NUM
cana-2668	47	2	(	(	PUNCT
cana-2668	47	3	2025	2025	NUM
cana-2668	47	4	)	)	PUNCT
cana-2668	47	5	408	408	NUM
cana-2668	47	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2668	47	7	figure	figure	NOUN
cana-2668	47	8	1	1	NUM
cana-2668	47	9	.	.	PUNCT
cana-2668	47	10	emlrr	emlrr	NOUN
cana-2668	47	11	model	model	NOUN
cana-2668	47	12	for	for	ADP
cana-2668	47	13	prediction	prediction	NOUN
cana-2668	47	14	our	our	PRON
cana-2668	47	15	model	model	NOUN
cana-2668	47	16	,	,	PUNCT
cana-2668	47	17	honed	hone	VERB
cana-2668	47	18	with	with	ADP
cana-2668	47	19	data	datum	NOUN
cana-2668	47	20	from	from	ADP
cana-2668	47	21	diverse	diverse	ADJ
cana-2668	47	22	branches	branch	NOUN
cana-2668	47	23	,	,	PUNCT
cana-2668	47	24	regions	region	NOUN
cana-2668	47	25	,	,	PUNCT
cana-2668	47	26	and	and	CCONJ
cana-2668	47	27	periods	period	NOUN
cana-2668	47	28	,	,	PUNCT
cana-2668	47	29	leverages	leverage	VERB
cana-2668	47	30	ensemble	ensemble	ADJ
cana-2668	47	31	machine	machine	NOUN
cana-2668	47	32	learning	learn	VERB
cana-2668	47	33	to	to	PART
cana-2668	47	34	predict	predict	VERB
cana-2668	47	35	the	the	DET
cana-2668	47	36	optimal	optimal	ADJ
cana-2668	47	37	stream	stream	NOUN
cana-2668	47	38	for	for	ADP
cana-2668	47	39	a	a	DET
cana-2668	47	40	student	student	NOUN
cana-2668	47	41	with	with	ADP
cana-2668	47	42	an	an	DET
cana-2668	47	43	impressive	impressive	ADJ
cana-2668	47	44	accuracy	accuracy	NOUN
cana-2668	47	45	of	of	ADP
cana-2668	47	46	80	80	NUM
cana-2668	47	47	%	%	NOUN
cana-2668	47	48	.	.	PUNCT
cana-2668	48	1	we	we	PRON
cana-2668	48	2	are	be	AUX
cana-2668	48	3	employing	employ	VERB
cana-2668	48	4	decision	decision	NOUN
cana-2668	48	5	tree	tree	NOUN
cana-2668	48	6	(	(	PUNCT
cana-2668	48	7	dt	dt	NOUN
cana-2668	48	8	)	)	PUNCT
cana-2668	49	1	[	[	X
cana-2668	49	2	2–5	2–5	NOUN
cana-2668	49	3	,	,	PUNCT
cana-2668	49	4	10	10	NUM
cana-2668	49	5	]	]	PUNCT
cana-2668	49	6	,	,	PUNCT
cana-2668	49	7	support	support	NOUN
cana-2668	49	8	vector	vector	NOUN
cana-2668	49	9	machine	machine	NOUN
cana-2668	49	10	(	(	PUNCT
cana-2668	49	11	svm	svm	PROPN
cana-2668	49	12	)	)	PUNCT
cana-2668	50	1	[	[	X
cana-2668	50	2	6	6	NUM
cana-2668	50	3	-	-	SYM
cana-2668	50	4	10	10	NUM
cana-2668	50	5	]	]	PUNCT
cana-2668	50	6	,	,	PUNCT
cana-2668	50	7	k	k	X
cana-2668	50	8	-	-	PUNCT
cana-2668	50	9	nearest	near	ADJ
cana-2668	50	10	neighbours	neighbour	NOUN
cana-2668	50	11	(	(	PUNCT
cana-2668	50	12	knn	knn	PROPN
cana-2668	50	13	)	)	PUNCT
cana-2668	50	14	[	[	X
cana-2668	50	15	10	10	NUM
cana-2668	50	16	-	-	SYM
cana-2668	50	17	12	12	NUM
cana-2668	50	18	]	]	PUNCT
cana-2668	50	19	,	,	PUNCT
cana-2668	50	20	and	and	CCONJ
cana-2668	50	21	gaussian	gaussian	ADJ
cana-2668	50	22	naïve	naïve	ADJ
cana-2668	50	23	bayes	bayes	PROPN
cana-2668	50	24	(	(	PUNCT
cana-2668	50	25	gnb	gnb	PROPN
cana-2668	50	26	)	)	PUNCT
cana-2668	51	1	[	[	X
cana-2668	51	2	8,10,11	8,10,11	NUM
cana-2668	51	3	]	]	PUNCT
cana-2668	51	4	as	as	ADP
cana-2668	51	5	base	base	NOUN
cana-2668	51	6	models	model	NOUN
cana-2668	51	7	,	,	PUNCT
cana-2668	51	8	with	with	ADP
cana-2668	51	9	one	one	NUM
cana-2668	51	10	vs.	vs.	ADP
cana-2668	51	11	rest	rest	NOUN
cana-2668	51	12	support	support	NOUN
cana-2668	51	13	vector	vector	NOUN
cana-2668	51	14	machine	machine	NOUN
cana-2668	51	15	serving	serve	VERB
cana-2668	51	16	as	as	ADP
cana-2668	51	17	the	the	DET
cana-2668	51	18	meta	meta	NOUN
cana-2668	51	19	-	-	PUNCT
cana-2668	51	20	model	model	NOUN
cana-2668	51	21	for	for	ADP
cana-2668	51	22	stacking	stacking	NOUN
cana-2668	51	23	,	,	PUNCT
cana-2668	51	24	our	our	PRON
cana-2668	51	25	approach	approach	NOUN
cana-2668	51	26	incorporates	incorporate	VERB
cana-2668	51	27	various	various	ADJ
cana-2668	51	28	attributes	attribute	NOUN
cana-2668	51	29	such	such	ADJ
cana-2668	51	30	as	as	ADP
cana-2668	51	31	student	student	NOUN
cana-2668	51	32	school	school	NOUN
cana-2668	51	33	-	-	PUNCT
cana-2668	51	34	level	level	NOUN
cana-2668	51	35	cgpa	cgpa	NOUN
cana-2668	51	36	,	,	PUNCT
cana-2668	51	37	parents	parent	NOUN
cana-2668	51	38	'	'	PART
cana-2668	51	39	financial	financial	ADJ
cana-2668	51	40	status	status	NOUN
cana-2668	51	41	,	,	PUNCT
cana-2668	51	42	city	city	NOUN
cana-2668	51	43	and	and	CCONJ
cana-2668	51	44	area	area	NOUN
cana-2668	51	45	of	of	ADP
cana-2668	51	46	residence	residence	NOUN
cana-2668	51	47	,	,	PUNCT
cana-2668	51	48	connectivity	connectivity	NOUN
cana-2668	51	49	,	,	PUNCT
cana-2668	51	50	zodiac	zodiac	NOUN
cana-2668	51	51	sign	sign	NOUN
cana-2668	51	52	,	,	PUNCT
cana-2668	51	53	gender	gender	NOUN
cana-2668	51	54	,	,	PUNCT
cana-2668	51	55	willingness	willingness	NOUN
cana-2668	51	56	to	to	PART
cana-2668	51	57	reside	reside	VERB
cana-2668	51	58	in	in	ADP
cana-2668	51	59	a	a	DET
cana-2668	51	60	hostel	hostel	NOUN
cana-2668	51	61	,	,	PUNCT
cana-2668	51	62	and	and	CCONJ
cana-2668	51	63	test	test	NOUN
cana-2668	51	64	scores	score	NOUN
cana-2668	51	65	.	.	PUNCT
cana-2668	52	1	the	the	DET
cana-2668	52	2	structure	structure	NOUN
cana-2668	52	3	of	of	ADP
cana-2668	52	4	our	our	PRON
cana-2668	52	5	paper	paper	NOUN
cana-2668	52	6	unfolds	unfold	VERB
cana-2668	52	7	across	across	ADP
cana-2668	52	8	various	various	ADJ
cana-2668	52	9	sections	section	NOUN
cana-2668	52	10	:	:	PUNCT
cana-2668	52	11	section	section	NOUN
cana-2668	52	12	2	2	NUM
cana-2668	52	13	outlines	outline	VERB
cana-2668	52	14	the	the	DET
cana-2668	52	15	research	research	NOUN
cana-2668	52	16	objectives	objective	NOUN
cana-2668	52	17	,	,	PUNCT
cana-2668	52	18	section	section	NOUN
cana-2668	52	19	3	3	NUM
cana-2668	52	20	delves	delf	NOUN
cana-2668	52	21	into	into	ADP
cana-2668	52	22	the	the	DET
cana-2668	52	23	literature	literature	PROPN
cana-2668	52	24	review	review	NOUN
cana-2668	52	25	,	,	PUNCT
cana-2668	52	26	section	section	NOUN
cana-2668	52	27	4	4	NUM
cana-2668	52	28	explains	explain	VERB
cana-2668	52	29	the	the	DET
cana-2668	52	30	methodology	methodology	NOUN
cana-2668	52	31	,	,	PUNCT
cana-2668	52	32	section	section	NOUN
cana-2668	52	33	5	5	NUM
cana-2668	52	34	presents	present	NOUN
cana-2668	52	35	results	result	NOUN
cana-2668	52	36	and	and	CCONJ
cana-2668	52	37	analysis	analysis	NOUN
cana-2668	52	38	,	,	PUNCT
cana-2668	52	39	and	and	CCONJ
cana-2668	52	40	section	section	NOUN
cana-2668	52	41	6	6	NUM
cana-2668	52	42	draws	draw	VERB
cana-2668	52	43	conclusions	conclusion	NOUN
cana-2668	52	44	.	.	PUNCT
cana-2668	53	1	2	2	X
cana-2668	53	2	.	.	X
cana-2668	53	3	research	research	NOUN
cana-2668	53	4	objectives	objective	NOUN
cana-2668	53	5	our	our	PRON
cana-2668	53	6	study	study	NOUN
cana-2668	53	7	endeavors	endeavor	NOUN
cana-2668	53	8	to	to	PART
cana-2668	53	9	enhance	enhance	VERB
cana-2668	53	10	student	student	NOUN
cana-2668	53	11	academic	academic	ADJ
cana-2668	53	12	success	success	NOUN
cana-2668	53	13	by	by	ADP
cana-2668	53	14	applying	apply	VERB
cana-2668	53	15	our	our	PRON
cana-2668	53	16	ensemble	ensemble	ADJ
cana-2668	53	17	machine	machine	NOUN
cana-2668	53	18	learning	learning	NOUN
cana-2668	53	19	model	model	NOUN
cana-2668	53	20	,	,	PUNCT
cana-2668	53	21	a	a	DET
cana-2668	53	22	pivotal	pivotal	ADJ
cana-2668	53	23	step	step	NOUN
cana-2668	53	24	involving	involve	VERB
cana-2668	53	25	the	the	DET
cana-2668	53	26	meticulous	meticulous	ADJ
cana-2668	53	27	selection	selection	NOUN
cana-2668	53	28	of	of	ADP
cana-2668	53	29	an	an	DET
cana-2668	53	30	appropriate	appropriate	ADJ
cana-2668	53	31	academic	academic	ADJ
cana-2668	53	32	stream	stream	NOUN
cana-2668	53	33	for	for	ADP
cana-2668	53	34	each	each	DET
cana-2668	53	35	student	student	NOUN
cana-2668	53	36	.	.	PUNCT
cana-2668	54	1	the	the	DET
cana-2668	54	2	research	research	NOUN
cana-2668	54	3	is	be	AUX
cana-2668	54	4	structured	structure	VERB
cana-2668	54	5	into	into	ADP
cana-2668	54	6	two	two	NUM
cana-2668	54	7	distinct	distinct	ADJ
cana-2668	54	8	phases	phase	NOUN
cana-2668	54	9	:	:	PUNCT
cana-2668	54	10	the	the	DET
cana-2668	54	11	initial	initial	ADJ
cana-2668	54	12	phase	phase	NOUN
cana-2668	54	13	consists	consist	VERB
cana-2668	54	14	of	of	ADP
cana-2668	54	15	the	the	DET
cana-2668	54	16	collection	collection	NOUN
cana-2668	54	17	,	,	PUNCT
cana-2668	54	18	cleaning	cleaning	NOUN
cana-2668	54	19	,	,	PUNCT
cana-2668	54	20	and	and	CCONJ
cana-2668	54	21	curation	curation	NOUN
cana-2668	54	22	of	of	ADP
cana-2668	54	23	data	datum	NOUN
cana-2668	54	24	,	,	PUNCT
cana-2668	54	25	focusing	focus	VERB
cana-2668	54	26	on	on	ADP
cana-2668	54	27	identifying	identify	VERB
cana-2668	54	28	pertinent	pertinent	ADJ
cana-2668	54	29	parameters	parameter	NOUN
cana-2668	54	30	influencing	influence	VERB
cana-2668	54	31	the	the	DET
cana-2668	54	32	choice	choice	NOUN
cana-2668	54	33	of	of	ADP
cana-2668	54	34	academic	academic	ADJ
cana-2668	54	35	stream	stream	NOUN
cana-2668	54	36	.	.	PUNCT
cana-2668	55	1	in	in	ADP
cana-2668	55	2	the	the	DET
cana-2668	55	3	subsequent	subsequent	ADJ
cana-2668	55	4	phase	phase	NOUN
cana-2668	55	5	,	,	PUNCT
cana-2668	55	6	our	our	PRON
cana-2668	55	7	model	model	NOUN
cana-2668	55	8	is	be	AUX
cana-2668	55	9	trained	train	VERB
cana-2668	55	10	using	use	VERB
cana-2668	55	11	this	this	DET
cana-2668	55	12	refined	refined	ADJ
cana-2668	55	13	dataset	dataset	NOUN
cana-2668	55	14	,	,	PUNCT
cana-2668	55	15	and	and	CCONJ
cana-2668	55	16	its	its	PRON
cana-2668	55	17	predictive	predictive	ADJ
cana-2668	55	18	capabilities	capability	NOUN
cana-2668	55	19	are	be	AUX
cana-2668	55	20	tested	test	VERB
cana-2668	55	21	in	in	ADP
cana-2668	55	22	real	real	ADJ
cana-2668	55	23	-	-	PUNCT
cana-2668	55	24	world	world	NOUN
cana-2668	55	25	scenarios	scenario	NOUN
cana-2668	55	26	,	,	PUNCT
cana-2668	55	27	specifically	specifically	ADV
cana-2668	55	28	at	at	ADP
cana-2668	55	29	the	the	DET
cana-2668	55	30	point	point	NOUN
cana-2668	55	31	of	of	ADP
cana-2668	55	32	student	student	NOUN
cana-2668	55	33	admission	admission	NOUN
cana-2668	55	34	.	.	PUNCT
cana-2668	56	1	our	our	PRON
cana-2668	56	2	investigation	investigation	NOUN
cana-2668	56	3	addresses	address	VERB
cana-2668	56	4	several	several	ADJ
cana-2668	56	5	research	research	NOUN
cana-2668	56	6	questions	question	NOUN
cana-2668	56	7	aimed	aim	VERB
cana-2668	56	8	at	at	ADP
cana-2668	56	9	unraveling	unravel	VERB
cana-2668	56	10	the	the	DET
cana-2668	56	11	intricacies	intricacy	NOUN
cana-2668	56	12	of	of	ADP
cana-2668	56	13	stream	stream	NOUN
cana-2668	56	14	selection	selection	NOUN
cana-2668	56	15	and	and	CCONJ
cana-2668	56	16	model	model	NOUN
cana-2668	56	17	performance	performance	NOUN
cana-2668	56	18	:	:	PUNCT
cana-2668	56	19	•	•	ADP
cana-2668	56	20	what	what	DET
cana-2668	56	21	factors	factor	NOUN
cana-2668	56	22	influence	influence	VERB
cana-2668	56	23	a	a	DET
cana-2668	56	24	student	student	NOUN
cana-2668	56	25	's	's	PART
cana-2668	56	26	choice	choice	NOUN
cana-2668	56	27	of	of	ADP
cana-2668	56	28	academic	academic	ADJ
cana-2668	56	29	stream	stream	NOUN
cana-2668	56	30	?	?	PUNCT
cana-2668	57	1	•	•	NUM
cana-2668	57	2	meta	meta	ADJ
cana-2668	57	3	-	-	PUNCT
cana-2668	57	4	model	model	NOUN
cana-2668	57	5	comparison	comparison	NOUN
cana-2668	57	6	:	:	PUNCT
cana-2668	57	7	how	how	SCONJ
cana-2668	57	8	does	do	AUX
cana-2668	57	9	the	the	DET
cana-2668	57	10	prediction	prediction	NOUN
cana-2668	57	11	accuracy	accuracy	NOUN
cana-2668	57	12	of	of	ADP
cana-2668	57	13	our	our	PRON
cana-2668	57	14	proposed	propose	VERB
cana-2668	57	15	model	model	NOUN
cana-2668	57	16	compare	compare	VERB
cana-2668	57	17	with	with	ADP
cana-2668	57	18	alternative	alternative	ADJ
cana-2668	57	19	meta	meta	ADJ
cana-2668	57	20	-	-	PUNCT
cana-2668	57	21	model	model	NOUN
cana-2668	57	22	options	option	NOUN
cana-2668	57	23	?	?	PUNCT
cana-2668	58	1	communications	communication	NOUN
cana-2668	58	2	on	on	ADP
cana-2668	58	3	applied	apply	VERB
cana-2668	58	4	nonlinear	nonlinear	ADJ
cana-2668	58	5	analysis	analysis	NOUN
cana-2668	58	6	issn	issn	NOUN
cana-2668	58	7	:	:	PUNCT
cana-2668	58	8	1074	1074	NUM
cana-2668	58	9	-	-	PUNCT
cana-2668	58	10	133x	133x	NUM
cana-2668	58	11	vol	vol	NOUN
cana-2668	58	12	32	32	NUM
cana-2668	58	13	no	no	NOUN
cana-2668	58	14	.	.	PUNCT
cana-2668	59	1	3s	3s	NUM
cana-2668	59	2	(	(	PUNCT
cana-2668	59	3	2025	2025	NUM
cana-2668	59	4	)	)	PUNCT
cana-2668	59	5	409	409	NUM
cana-2668	59	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-2668	59	7	•	•	NUM
cana-2668	59	8	smote	smote	ADJ
cana-2668	59	9	evaluation	evaluation	NOUN
cana-2668	59	10	in	in	ADP
cana-2668	59	11	rr	rr	PROPN
cana-2668	59	12	model	model	NOUN
cana-2668	59	13	:	:	PUNCT
cana-2668	59	14	how	how	SCONJ
cana-2668	59	15	do	do	AUX
cana-2668	59	16	the	the	DET
cana-2668	59	17	prediction	prediction	NOUN
cana-2668	59	18	accuracy	accuracy	NOUN
cana-2668	59	19	and	and	CCONJ
cana-2668	59	20	other	other	ADJ
cana-2668	59	21	pertinent	pertinent	ADJ
cana-2668	59	22	parameters	parameter	NOUN
cana-2668	59	23	compare	compare	VERB
cana-2668	59	24	when	when	SCONJ
cana-2668	59	25	employing	employ	VERB
cana-2668	59	26	synthetic	synthetic	ADJ
cana-2668	59	27	minority	minority	NOUN
cana-2668	59	28	over	over	ADP
cana-2668	59	29	-	-	PUNCT
cana-2668	59	30	sampling	sample	VERB
cana-2668	59	31	technique	technique	NOUN
cana-2668	59	32	(	(	PUNCT
cana-2668	59	33	smote	smote	NOUN
cana-2668	59	34	)	)	PUNCT
cana-2668	59	35	options	option	NOUN
cana-2668	59	36	within	within	ADP
cana-2668	59	37	the	the	DET
cana-2668	59	38	rr	rr	PROPN
cana-2668	59	39	model	model	NOUN
cana-2668	59	40	?	?	PUNCT
cana-2668	60	1	this	this	DET
cana-2668	60	2	structured	structured	ADJ
cana-2668	60	3	approach	approach	NOUN
cana-2668	60	4	allows	allow	VERB
cana-2668	60	5	us	we	PRON
cana-2668	60	6	to	to	PART
cana-2668	60	7	delve	delve	VERB
cana-2668	60	8	into	into	ADP
cana-2668	60	9	the	the	DET
cana-2668	60	10	complexities	complexity	NOUN
cana-2668	60	11	of	of	ADP
cana-2668	60	12	stream	stream	NOUN
cana-2668	60	13	selection	selection	NOUN
cana-2668	60	14	,	,	PUNCT
cana-2668	60	15	assess	assess	VERB
cana-2668	60	16	the	the	DET
cana-2668	60	17	comparative	comparative	ADJ
cana-2668	60	18	efficacy	efficacy	NOUN
cana-2668	60	19	of	of	ADP
cana-2668	60	20	our	our	PRON
cana-2668	60	21	ensemble	ensemble	ADJ
cana-2668	60	22	machine	machine	NOUN
cana-2668	60	23	learning	learn	VERB
cana-2668	60	24	model	model	NOUN
cana-2668	60	25	against	against	ADP
cana-2668	60	26	alternative	alternative	ADJ
cana-2668	60	27	meta	meta	ADJ
cana-2668	60	28	-	-	PUNCT
cana-2668	60	29	models	model	NOUN
cana-2668	60	30	,	,	PUNCT
cana-2668	60	31	and	and	CCONJ
cana-2668	60	32	evaluate	evaluate	VERB
cana-2668	60	33	the	the	DET
cana-2668	60	34	impact	impact	NOUN
cana-2668	60	35	of	of	ADP
cana-2668	60	36	different	different	ADJ
cana-2668	60	37	smote	smote	ADJ
cana-2668	60	38	options	option	NOUN
cana-2668	60	39	within	within	ADP
cana-2668	60	40	the	the	DET
cana-2668	60	41	rr	rr	PROPN
cana-2668	60	42	model	model	NOUN
cana-2668	60	43	.	.	PUNCT
cana-2668	61	1	ultimately	ultimately	ADV
cana-2668	61	2	,	,	PUNCT
cana-2668	61	3	we	we	PRON
cana-2668	61	4	aim	aim	VERB
cana-2668	61	5	to	to	PART
cana-2668	61	6	provide	provide	VERB
cana-2668	61	7	insights	insight	NOUN
cana-2668	61	8	that	that	PRON
cana-2668	61	9	contribute	contribute	VERB
cana-2668	61	10	to	to	ADP
cana-2668	61	11	an	an	DET
cana-2668	61	12	informed	informed	ADJ
cana-2668	61	13	and	and	CCONJ
cana-2668	61	14	effective	effective	ADJ
cana-2668	61	15	stream	stream	NOUN
cana-2668	61	16	selection	selection	NOUN
cana-2668	61	17	process	process	NOUN
cana-2668	61	18	,	,	PUNCT
cana-2668	61	19	thereby	thereby	ADV
cana-2668	61	20	bolstering	bolster	VERB
cana-2668	61	21	students	student	NOUN
cana-2668	61	22	'	'	PART
cana-2668	61	23	academic	academic	ADJ
cana-2668	61	24	success	success	NOUN
cana-2668	61	25	.	.	PUNCT
cana-2668	62	1	3	3	X
cana-2668	62	2	.	.	X
cana-2668	62	3	literature	literature	NOUN
cana-2668	62	4	survey	survey	VERB
cana-2668	62	5	the	the	DET
cana-2668	62	6	pursuit	pursuit	NOUN
cana-2668	62	7	of	of	ADP
cana-2668	62	8	selecting	select	VERB
cana-2668	62	9	the	the	DET
cana-2668	62	10	optimal	optimal	ADJ
cana-2668	62	11	academic	academic	ADJ
cana-2668	62	12	stream	stream	NOUN
cana-2668	62	13	for	for	ADP
cana-2668	62	14	a	a	DET
cana-2668	62	15	student	student	NOUN
cana-2668	62	16	is	be	AUX
cana-2668	62	17	a	a	DET
cana-2668	62	18	crucial	crucial	ADJ
cana-2668	62	19	factor	factor	NOUN
cana-2668	62	20	in	in	ADP
cana-2668	62	21	enhancing	enhance	VERB
cana-2668	62	22	their	their	PRON
cana-2668	62	23	educational	educational	ADJ
cana-2668	62	24	success	success	NOUN
cana-2668	62	25	.	.	PUNCT
cana-2668	63	1	in	in	ADP
cana-2668	63	2	the	the	DET
cana-2668	63	3	contemporary	contemporary	ADJ
cana-2668	63	4	era	era	NOUN
cana-2668	63	5	of	of	ADP
cana-2668	63	6	digitized	digitize	VERB
cana-2668	63	7	education	education	NOUN
cana-2668	63	8	systems	system	NOUN
cana-2668	63	9	,	,	PUNCT
cana-2668	63	10	where	where	SCONJ
cana-2668	63	11	vast	vast	ADJ
cana-2668	63	12	student	student	NOUN
cana-2668	63	13	data	datum	NOUN
cana-2668	63	14	are	be	AUX
cana-2668	63	15	readily	readily	ADV
cana-2668	63	16	available	available	ADJ
cana-2668	63	17	,	,	PUNCT
cana-2668	63	18	cutting	cut	VERB
cana-2668	63	19	-	-	PUNCT
cana-2668	63	20	edge	edge	NOUN
cana-2668	63	21	technologies	technology	NOUN
cana-2668	63	22	such	such	ADJ
cana-2668	63	23	as	as	ADP
cana-2668	63	24	machine	machine	NOUN
cana-2668	63	25	learning	learning	NOUN
cana-2668	63	26	and	and	CCONJ
cana-2668	63	27	data	datum	NOUN
cana-2668	63	28	science	science	NOUN
cana-2668	63	29	offer	offer	VERB
cana-2668	63	30	the	the	DET
cana-2668	63	31	potential	potential	NOUN
cana-2668	63	32	to	to	PART
cana-2668	63	33	transform	transform	VERB
cana-2668	63	34	machines	machine	NOUN
cana-2668	63	35	into	into	ADP
cana-2668	63	36	intelligent	intelligent	ADJ
cana-2668	63	37	expert	expert	NOUN
cana-2668	63	38	systems	system	NOUN
cana-2668	63	39	.	.	PUNCT
cana-2668	64	1	leveraging	leverage	VERB
cana-2668	64	2	historical	historical	ADJ
cana-2668	64	3	data	datum	NOUN
cana-2668	64	4	,	,	PUNCT
cana-2668	64	5	these	these	DET
cana-2668	64	6	machines	machine	NOUN
cana-2668	64	7	can	can	AUX
cana-2668	64	8	guide	guide	VERB
cana-2668	64	9	students	student	NOUN
cana-2668	64	10	through	through	ADP
cana-2668	64	11	informed	informed	ADJ
cana-2668	64	12	counseling	counseling	NOUN
cana-2668	64	13	and	and	CCONJ
cana-2668	64	14	predict	predict	VERB
cana-2668	64	15	the	the	DET
cana-2668	64	16	most	most	ADV
cana-2668	64	17	suitable	suitable	ADJ
cana-2668	64	18	academic	academic	ADJ
cana-2668	64	19	stream	stream	NOUN
cana-2668	64	20	.	.	PUNCT
cana-2668	65	1	our	our	PRON
cana-2668	65	2	model	model	NOUN
cana-2668	65	3	employs	employ	VERB
cana-2668	65	4	stacking	stack	VERB
cana-2668	65	5	[	[	X
cana-2668	65	6	13	13	NUM
cana-2668	65	7	]	]	PUNCT
cana-2668	65	8	,	,	PUNCT
cana-2668	65	9	where	where	SCONJ
cana-2668	65	10	we	we	PRON
cana-2668	65	11	have	have	VERB
cana-2668	65	12	combined	combine	VERB
cana-2668	65	13	ovr	ovr	NOUN
cana-2668	66	1	[	[	X
cana-2668	66	2	14	14	NUM
cana-2668	66	3	]	]	PUNCT
cana-2668	66	4	,	,	PUNCT
cana-2668	66	5	dt	dt	X
cana-2668	67	1	[	[	X
cana-2668	67	2	15	15	NUM
cana-2668	67	3	]	]	PUNCT
cana-2668	67	4	,	,	PUNCT
cana-2668	67	5	gnb	gnb	PROPN
cana-2668	68	1	[	[	X
cana-2668	68	2	16	16	NUM
cana-2668	68	3	]	]	PUNCT
cana-2668	68	4	,	,	PUNCT
cana-2668	68	5	and	and	CCONJ
cana-2668	68	6	knn	knn	PROPN
cana-2668	68	7	classifier	classifier	NOUN
cana-2668	68	8	[	[	X
cana-2668	68	9	17	17	NUM
cana-2668	68	10	]	]	PUNCT
cana-2668	68	11	are	be	AUX
cana-2668	68	12	combined	combine	VERB
cana-2668	68	13	with	with	ADP
cana-2668	68	14	a	a	DET
cana-2668	68	15	meta	meta	NOUN
cana-2668	68	16	-	-	PUNCT
cana-2668	68	17	model	model	NOUN
cana-2668	68	18	to	to	PART
cana-2668	68	19	predict	predict	VERB
cana-2668	68	20	the	the	DET
cana-2668	68	21	academic	academic	ADJ
cana-2668	68	22	stream	stream	NOUN
cana-2668	68	23	as	as	ADP
cana-2668	68	24	a	a	DET
cana-2668	68	25	multi	multi	ADJ
cana-2668	68	26	-	-	ADJ
cana-2668	68	27	class	class	ADJ
cana-2668	68	28	output	output	NOUN
cana-2668	68	29	.	.	PUNCT
cana-2668	69	1	additionally	additionally	ADV
cana-2668	69	2	,	,	PUNCT
cana-2668	69	3	our	our	PRON
cana-2668	69	4	study	study	NOUN
cana-2668	69	5	examines	examine	VERB
cana-2668	69	6	the	the	DET
cana-2668	69	7	various	various	ADJ
cana-2668	69	8	parameters	parameter	NOUN
cana-2668	69	9	,	,	PUNCT
cana-2668	69	10	including	include	VERB
cana-2668	69	11	the	the	DET
cana-2668	69	12	accuracy	accuracy	NOUN
cana-2668	69	13	and	and	CCONJ
cana-2668	69	14	precision	precision	NOUN
cana-2668	69	15	of	of	ADP
cana-2668	69	16	these	these	DET
cana-2668	69	17	four	four	NUM
cana-2668	69	18	ml	ml	NOUN
cana-2668	69	19	models	model	NOUN
cana-2668	69	20	,	,	PUNCT
cana-2668	69	21	with	with	ADP
cana-2668	69	22	and	and	CCONJ
cana-2668	69	23	without	without	ADP
cana-2668	69	24	applying	apply	VERB
cana-2668	69	25	smote	smote	NOUN
cana-2668	69	26	.	.	PUNCT
cana-2668	70	1	in	in	ADP
cana-2668	70	2	essence	essence	NOUN
cana-2668	70	3	,	,	PUNCT
cana-2668	70	4	our	our	PRON
cana-2668	70	5	problem	problem	NOUN
cana-2668	70	6	constitutes	constitute	VERB
cana-2668	70	7	a	a	DET
cana-2668	70	8	multi	multi	ADJ
cana-2668	70	9	-	-	ADJ
cana-2668	70	10	class	class	ADJ
cana-2668	70	11	classification	classification	NOUN
cana-2668	70	12	challenge	challenge	NOUN
cana-2668	70	13	analogous	analogous	ADJ
cana-2668	70	14	to	to	PART
cana-2668	70	15	image	image	VERB
cana-2668	70	16	classification	classification	NOUN
cana-2668	70	17	or	or	CCONJ
cana-2668	70	18	handwriting	handwriting	NOUN
cana-2668	70	19	classification	classification	NOUN
cana-2668	70	20	problems	problem	NOUN
cana-2668	70	21	.	.	PUNCT
cana-2668	71	1	the	the	DET
cana-2668	71	2	dataset	dataset	NOUN
cana-2668	71	3	comprises	comprise	VERB
cana-2668	71	4	three	three	NUM
cana-2668	71	5	target	target	NOUN
cana-2668	71	6	class	class	NOUN
cana-2668	71	7	labels	label	NOUN
cana-2668	71	8	:	:	PUNCT
cana-2668	71	9	class	class	NOUN
cana-2668	71	10	0	0	NUM
cana-2668	71	11	for	for	ADP
cana-2668	71	12	bachelor	bachelor	NOUN
cana-2668	71	13	in	in	ADP
cana-2668	71	14	computer	computer	NOUN
cana-2668	71	15	applications	application	NOUN
cana-2668	71	16	(	(	PUNCT
cana-2668	71	17	bca	bca	PROPN
cana-2668	71	18	)	)	PUNCT
cana-2668	71	19	,	,	PUNCT
cana-2668	71	20	class	class	NOUN
cana-2668	71	21	1	1	NUM
cana-2668	71	22	for	for	ADP
cana-2668	71	23	computer	computer	NOUN
cana-2668	71	24	science	science	NOUN
cana-2668	71	25	&	&	CCONJ
cana-2668	71	26	engineering	engineering	PROPN
cana-2668	71	27	(	(	PUNCT
cana-2668	71	28	cse)/information	cse)/information	NOUN
cana-2668	71	29	technology	technology	NOUN
cana-2668	71	30	(	(	PUNCT
cana-2668	71	31	it	it	PRON
cana-2668	71	32	)	)	PUNCT
cana-2668	71	33	,	,	PUNCT
cana-2668	71	34	class	class	NOUN
cana-2668	71	35	2	2	NUM
cana-2668	71	36	for	for	ADP
cana-2668	71	37	electronics	electronic	NOUN
cana-2668	71	38	and	and	CCONJ
cana-2668	71	39	communication	communication	NOUN
cana-2668	71	40	(	(	PUNCT
cana-2668	71	41	ece	ece	PROPN
cana-2668	71	42	)	)	PUNCT
cana-2668	71	43	,	,	PUNCT
cana-2668	71	44	and	and	CCONJ
cana-2668	71	45	mechanical	mechanical	ADJ
cana-2668	71	46	engineering	engineering	NOUN
cana-2668	71	47	(	(	PUNCT
cana-2668	71	48	me	i	PRON
cana-2668	71	49	)	)	PUNCT
cana-2668	71	50	.	.	PUNCT
cana-2668	72	1	a	a	DET
cana-2668	72	2	comparative	comparative	ADJ
cana-2668	72	3	analysis	analysis	NOUN
cana-2668	72	4	with	with	ADP
cana-2668	72	5	previous	previous	ADJ
cana-2668	72	6	studies	study	NOUN
cana-2668	72	7	reveals	reveal	VERB
cana-2668	72	8	opportunities	opportunity	NOUN
cana-2668	72	9	for	for	ADP
cana-2668	72	10	refinement	refinement	NOUN
cana-2668	72	11	.	.	PUNCT
cana-2668	73	1	alsayed	alsaye	VERB
cana-2668	73	2	et	et	PROPN
cana-2668	73	3	al	al	PROPN
cana-2668	73	4	.	.	PUNCT
cana-2668	74	1	[	[	X
cana-2668	74	2	18	18	NUM
cana-2668	74	3	]	]	PUNCT
cana-2668	74	4	demonstrated	demonstrate	VERB
cana-2668	74	5	the	the	DET
cana-2668	74	6	efficacy	efficacy	NOUN
cana-2668	74	7	of	of	ADP
cana-2668	74	8	supervised	supervised	ADJ
cana-2668	74	9	learning	learning	NOUN
cana-2668	74	10	techniques	technique	NOUN
cana-2668	74	11	but	but	CCONJ
cana-2668	74	12	suggested	suggest	VERB
cana-2668	74	13	room	room	NOUN
cana-2668	74	14	for	for	ADP
cana-2668	74	15	improved	improved	ADJ
cana-2668	74	16	prediction	prediction	NOUN
cana-2668	74	17	accuracy	accuracy	NOUN
cana-2668	74	18	.	.	PUNCT
cana-2668	75	1	kapil	kapil	PROPN
cana-2668	75	2	sethi	sethi	PROPN
cana-2668	75	3	and	and	CCONJ
cana-2668	75	4	mohd	mohd	PROPN
cana-2668	75	5	dilshad	dilshad	VERB
cana-2668	75	6	ansari	ansari	PROPN
cana-2668	76	1	[	[	X
cana-2668	76	2	12	12	NUM
cana-2668	76	3	]	]	PUNCT
cana-2668	76	4	achieved	achieve	VERB
cana-2668	76	5	classification	classification	NOUN
cana-2668	76	6	accuracy	accuracy	NOUN
cana-2668	76	7	exceeding	exceed	VERB
cana-2668	76	8	80	80	NUM
cana-2668	76	9	%	%	NOUN
cana-2668	76	10	but	but	CCONJ
cana-2668	76	11	faced	face	VERB
cana-2668	76	12	limitations	limitation	NOUN
cana-2668	76	13	due	due	ADP
cana-2668	76	14	to	to	ADP
cana-2668	76	15	a	a	DET
cana-2668	76	16	restricted	restricted	ADJ
cana-2668	76	17	dataset	dataset	NOUN
cana-2668	76	18	and	and	CCONJ
cana-2668	76	19	focus	focus	VERB
cana-2668	76	20	on	on	ADP
cana-2668	76	21	only	only	ADV
cana-2668	76	22	two	two	NUM
cana-2668	76	23	output	output	NOUN
cana-2668	76	24	class	class	NOUN
cana-2668	76	25	data	datum	NOUN
cana-2668	76	26	.	.	PUNCT
cana-2668	77	1	yara	yara	PROPN
cana-2668	77	2	zayed	zayed	PROPN
cana-2668	77	3	et	et	PROPN
cana-2668	77	4	al	al	PROPN
cana-2668	77	5	.	.	PUNCT
cana-2668	78	1	[	[	X
cana-2668	78	2	19	19	NUM
cana-2668	78	3	]	]	PUNCT
cana-2668	78	4	enhanced	enhance	VERB
cana-2668	78	5	their	their	PRON
cana-2668	78	6	intelligent	intelligent	ADJ
cana-2668	78	7	recommendation	recommendation	NOUN
cana-2668	78	8	system	system	NOUN
cana-2668	78	9	with	with	ADP
cana-2668	78	10	ml	ml	ADP
cana-2668	78	11	hyper	hyper	ADV
cana-2668	78	12	-	-	ADJ
cana-2668	78	13	tuning	tuning	NOUN
cana-2668	78	14	,	,	PUNCT
cana-2668	78	15	achieving	achieve	VERB
cana-2668	78	16	accuracy	accuracy	NOUN
cana-2668	78	17	surpassing	surpass	VERB
cana-2668	78	18	90	90	NUM
cana-2668	78	19	%	%	NOUN
cana-2668	78	20	,	,	PUNCT
cana-2668	78	21	but	but	CCONJ
cana-2668	78	22	faced	faced	ADJ
cana-2668	78	23	constraints	constraint	NOUN
cana-2668	78	24	in	in	ADP
cana-2668	78	25	dataset	dataset	ADJ
cana-2668	78	26	variety	variety	NOUN
cana-2668	78	27	.	.	PUNCT
cana-2668	79	1	samuel	samuel	PROPN
cana-2668	79	2	a.	a.	PROPN
cana-2668	79	3	stein	stein	PROPN
cana-2668	79	4	et	et	PROPN
cana-2668	79	5	al	al	PROPN
cana-2668	79	6	.	.	PUNCT
cana-2668	80	1	[	[	X
cana-2668	80	2	20	20	NUM
cana-2668	80	3	]	]	X
cana-2668	80	4	leveraged	leveraged	ADJ
cana-2668	80	5	student	student	NOUN
cana-2668	80	6	data	datum	NOUN
cana-2668	80	7	for	for	ADP
cana-2668	80	8	significant	significant	ADJ
cana-2668	80	9	recommendations	recommendation	NOUN
cana-2668	80	10	,	,	PUNCT
cana-2668	80	11	obtaining	obtain	VERB
cana-2668	80	12	a	a	DET
cana-2668	80	13	61	61	NUM
cana-2668	80	14	%	%	NOUN
cana-2668	80	15	success	success	NOUN
cana-2668	80	16	rate	rate	NOUN
cana-2668	80	17	in	in	ADP
cana-2668	80	18	predicting	predict	VERB
cana-2668	80	19	actual	actual	ADJ
cana-2668	80	20	majors	major	NOUN
cana-2668	80	21	.	.	PUNCT
cana-2668	81	1	charbel	charbel	NOUN
cana-2668	81	2	obeid	obeid	PROPN
cana-2668	81	3	et	et	PROPN
cana-2668	81	4	al	al	PROPN
cana-2668	81	5	.	.	PUNCT
cana-2668	82	1	[	[	X
cana-2668	82	2	21	21	NUM
cana-2668	82	3	]	]	PUNCT
cana-2668	82	4	proposed	propose	VERB
cana-2668	82	5	an	an	DET
cana-2668	82	6	ontology	ontology	NOUN
cana-2668	82	7	-	-	PUNCT
cana-2668	82	8	based	base	VERB
cana-2668	82	9	recommender	recommender	NOUN
cana-2668	82	10	system	system	NOUN
cana-2668	82	11	yet	yet	ADV
cana-2668	82	12	lacked	lack	VERB
cana-2668	82	13	transparency	transparency	NOUN
cana-2668	82	14	on	on	ADP
cana-2668	82	15	dataset	dataset	NOUN
cana-2668	82	16	attributes	attribute	NOUN
cana-2668	82	17	.	.	PUNCT
cana-2668	83	1	inssaf	inssaf	PROPN
cana-2668	83	2	el	el	PROPN
cana-2668	83	3	guabassi	guabassi	PROPN
cana-2668	83	4	et	et	PROPN
cana-2668	83	5	al	al	PROPN
cana-2668	83	6	.	.	PUNCT
cana-2668	84	1	[	[	X
cana-2668	84	2	22	22	NUM
cana-2668	84	3	]	]	PUNCT
cana-2668	84	4	developed	develop	VERB
cana-2668	84	5	a	a	DET
cana-2668	84	6	predictive	predictive	ADJ
cana-2668	84	7	model	model	NOUN
cana-2668	84	8	for	for	ADP
cana-2668	84	9	students	student	NOUN
cana-2668	84	10	’	'	PUNCT
cana-2668	84	11	admission	admission	NOUN
cana-2668	84	12	using	use	VERB
cana-2668	84	13	machine	machine	NOUN
cana-2668	84	14	learning	learning	NOUN
cana-2668	84	15	algorithms	algorithm	NOUN
cana-2668	84	16	but	but	CCONJ
cana-2668	84	17	faced	face	VERB
cana-2668	84	18	limitations	limitation	NOUN
cana-2668	84	19	with	with	ADP
cana-2668	84	20	a	a	DET
cana-2668	84	21	small	small	ADJ
cana-2668	84	22	dataset	dataset	NOUN
cana-2668	84	23	and	and	CCONJ
cana-2668	84	24	binary	binary	ADJ
cana-2668	84	25	class	class	NOUN
cana-2668	84	26	output	output	NOUN
cana-2668	84	27	.	.	PUNCT
cana-2668	85	1	lamees	lamees	PROPN
cana-2668	85	2	al	al	PROPN
cana-2668	85	3	-	-	PUNCT
cana-2668	85	4	alawiin	alawiin	PROPN
cana-2668	85	5	et	et	PROPN
cana-2668	85	6	al	al	PROPN
cana-2668	85	7	.	.	PUNCT
cana-2668	86	1	[	[	X
cana-2668	86	2	23	23	NUM
cana-2668	86	3	]	]	PUNCT
cana-2668	86	4	identified	identify	VERB
cana-2668	86	5	significant	significant	ADJ
cana-2668	86	6	parameters	parameter	NOUN
cana-2668	86	7	affecting	affect	VERB
cana-2668	86	8	academic	academic	ADJ
cana-2668	86	9	success	success	NOUN
cana-2668	86	10	but	but	CCONJ
cana-2668	86	11	grappled	grapple	VERB
cana-2668	86	12	with	with	ADP
cana-2668	86	13	data	datum	NOUN
cana-2668	86	14	gaps	gap	NOUN
cana-2668	86	15	due	due	ADP
cana-2668	86	16	to	to	ADP
cana-2668	86	17	the	the	DET
cana-2668	86	18	covid-19	covid-19	PROPN
cana-2668	86	19	pandemic	pandemic	NOUN
cana-2668	86	20	.	.	PUNCT
cana-2668	87	1	recent	recent	ADJ
cana-2668	87	2	studies	study	NOUN
cana-2668	87	3	by	by	ADP
cana-2668	87	4	laszlo	laszlo	ADJ
cana-2668	87	5	bognar	bognar	NOUN
cana-2668	87	6	and	and	CCONJ
cana-2668	87	7	tibor	tibor	PROPN
cana-2668	87	8	fauszt	fauszt	NOUN
cana-2668	87	9	[	[	X
cana-2668	87	10	24	24	NUM
cana-2668	87	11	]	]	PUNCT
cana-2668	87	12	and	and	CCONJ
cana-2668	87	13	others	other	NOUN
cana-2668	87	14	underscore	underscore	VERB
cana-2668	87	15	the	the	DET
cana-2668	87	16	ongoing	ongoing	ADJ
cana-2668	87	17	exploration	exploration	NOUN
cana-2668	87	18	of	of	ADP
cana-2668	87	19	factors	factor	NOUN
cana-2668	87	20	influencing	influence	VERB
cana-2668	87	21	the	the	DET
cana-2668	87	22	predictive	predictive	ADJ
cana-2668	87	23	ability	ability	NOUN
cana-2668	87	24	of	of	ADP
cana-2668	87	25	exam	exam	NOUN
cana-2668	87	26	-	-	PUNCT
cana-2668	87	27	level	level	NOUN
cana-2668	87	28	models	model	NOUN
cana-2668	87	29	in	in	ADP
cana-2668	87	30	predicting	predict	VERB
cana-2668	87	31	students	student	NOUN
cana-2668	87	32	’	'	PUNCT
cana-2668	87	33	success	success	NOUN
cana-2668	87	34	in	in	ADP
cana-2668	87	35	learning	learn	VERB
cana-2668	87	36	management	management	NOUN
cana-2668	87	37	systems	system	NOUN
cana-2668	87	38	.	.	PUNCT
cana-2668	88	1	an	an	DET
cana-2668	88	2	analysis	analysis	NOUN
cana-2668	88	3	of	of	ADP
cana-2668	88	4	different	different	ADJ
cana-2668	88	5	machine	machine	NOUN
cana-2668	88	6	learning	learn	VERB
cana-2668	88	7	algorithms	algorithm	NOUN
cana-2668	88	8	for	for	ADP
cana-2668	88	9	predicting	predict	VERB
cana-2668	88	10	a	a	DET
cana-2668	88	11	student	student	NOUN
cana-2668	88	12	's	's	PART
cana-2668	88	13	success	success	NOUN
cana-2668	88	14	was	be	AUX
cana-2668	88	15	done	do	VERB
cana-2668	88	16	[	[	X
cana-2668	88	17	25	25	NUM
cana-2668	88	18	]	]	PUNCT
cana-2668	88	19	to	to	PART
cana-2668	88	20	find	find	VERB
cana-2668	88	21	out	out	ADP
cana-2668	88	22	the	the	DET
cana-2668	88	23	strengths	strength	NOUN
cana-2668	88	24	and	and	CCONJ
cana-2668	88	25	weaknesses	weakness	NOUN
cana-2668	88	26	of	of	ADP
cana-2668	88	27	various	various	ADJ
cana-2668	88	28	ml	ml	NOUN
cana-2668	88	29	techniques	technique	NOUN
cana-2668	88	30	.	.	PUNCT
cana-2668	89	1	communications	communication	NOUN
cana-2668	89	2	on	on	ADP
cana-2668	89	3	applied	apply	VERB
cana-2668	89	4	nonlinear	nonlinear	ADJ
cana-2668	89	5	analysis	analysis	NOUN
cana-2668	89	6	issn	issn	NOUN
cana-2668	89	7	:	:	PUNCT
cana-2668	89	8	1074	1074	NUM
cana-2668	89	9	-	-	PUNCT
cana-2668	89	10	133x	133x	NUM
cana-2668	89	11	vol	vol	NOUN
cana-2668	89	12	32	32	NUM
cana-2668	89	13	no	no	NOUN
cana-2668	89	14	.	.	PUNCT
cana-2668	90	1	3s	3s	NUM
cana-2668	90	2	(	(	PUNCT
cana-2668	90	3	2025	2025	NUM
cana-2668	90	4	)	)	PUNCT
cana-2668	90	5	410	410	NUM
cana-2668	90	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2668	90	7	our	our	PRON
cana-2668	90	8	choice	choice	NOUN
cana-2668	90	9	of	of	ADP
cana-2668	90	10	machine	machine	NOUN
cana-2668	90	11	learning	learn	VERB
cana-2668	90	12	techniques	technique	NOUN
cana-2668	90	13	,	,	PUNCT
cana-2668	90	14	such	such	ADJ
cana-2668	90	15	as	as	ADP
cana-2668	90	16	knn	knn	PROPN
cana-2668	90	17	,	,	PUNCT
cana-2668	90	18	gnb	gnb	PROPN
cana-2668	90	19	,	,	PUNCT
cana-2668	90	20	dt	dt	X
cana-2668	90	21	,	,	PUNCT
cana-2668	90	22	and	and	CCONJ
cana-2668	90	23	svm	svm	ADJ
cana-2668	90	24	,	,	PUNCT
cana-2668	90	25	aligns	align	VERB
cana-2668	90	26	with	with	ADP
cana-2668	90	27	recent	recent	ADJ
cana-2668	90	28	trends	trend	NOUN
cana-2668	90	29	in	in	ADP
cana-2668	90	30	academic	academic	ADJ
cana-2668	90	31	performance	performance	NOUN
cana-2668	90	32	prediction	prediction	NOUN
cana-2668	90	33	.	.	PUNCT
cana-2668	91	1	bagging	bagging	NOUN
cana-2668	91	2	,	,	PUNCT
cana-2668	91	3	boosting	boost	VERB
cana-2668	91	4	,	,	PUNCT
cana-2668	91	5	and	and	CCONJ
cana-2668	91	6	stacking	stacking	NOUN
cana-2668	91	7	,	,	PUNCT
cana-2668	91	8	like	like	ADP
cana-2668	91	9	ml	ml	NOUN
cana-2668	91	10	techniques	technique	NOUN
cana-2668	91	11	,	,	PUNCT
cana-2668	91	12	are	be	AUX
cana-2668	91	13	incorporated	incorporate	VERB
cana-2668	91	14	into	into	ADP
cana-2668	91	15	complicated	complicated	ADJ
cana-2668	91	16	problems	problem	NOUN
cana-2668	91	17	such	such	ADJ
cana-2668	91	18	as	as	ADP
cana-2668	91	19	emotional	emotional	ADJ
cana-2668	91	20	recognition	recognition	NOUN
cana-2668	91	21	,	,	PUNCT
cana-2668	91	22	speech	speech	NOUN
cana-2668	91	23	recognition	recognition	NOUN
cana-2668	91	24	,	,	PUNCT
cana-2668	91	25	disease	disease	NOUN
cana-2668	91	26	detection	detection	NOUN
cana-2668	91	27	,	,	PUNCT
cana-2668	91	28	and	and	CCONJ
cana-2668	91	29	spam	spam	NOUN
cana-2668	91	30	/	/	SYM
cana-2668	91	31	fraud	fraud	NOUN
cana-2668	91	32	detection	detection	NOUN
cana-2668	91	33	.	.	PUNCT
cana-2668	92	1	stacking	stack	VERB
cana-2668	92	2	[	[	X
cana-2668	92	3	13	13	NUM
cana-2668	92	4	]	]	PUNCT
cana-2668	92	5	is	be	AUX
cana-2668	92	6	an	an	DET
cana-2668	92	7	ensemble	ensemble	ADJ
cana-2668	92	8	technique	technique	NOUN
cana-2668	92	9	[	[	X
cana-2668	92	10	26	26	NUM
cana-2668	92	11	]	]	PUNCT
cana-2668	92	12	that	that	PRON
cana-2668	92	13	is	be	AUX
cana-2668	92	14	being	be	AUX
cana-2668	92	15	used	use	VERB
cana-2668	92	16	to	to	PART
cana-2668	92	17	design	design	VERB
cana-2668	92	18	a	a	DET
cana-2668	92	19	new	new	ADJ
cana-2668	92	20	model	model	NOUN
cana-2668	92	21	with	with	ADP
cana-2668	92	22	the	the	DET
cana-2668	92	23	help	help	NOUN
cana-2668	92	24	of	of	ADP
cana-2668	92	25	existing	exist	VERB
cana-2668	92	26	models	model	NOUN
cana-2668	92	27	so	so	SCONJ
cana-2668	92	28	that	that	DET
cana-2668	92	29	performance	performance	NOUN
cana-2668	92	30	can	can	AUX
cana-2668	92	31	be	be	AUX
cana-2668	92	32	boosted	boost	VERB
cana-2668	92	33	[	[	PUNCT
cana-2668	92	34	27	27	NUM
cana-2668	92	35	-	-	SYM
cana-2668	92	36	30	30	NUM
cana-2668	92	37	]	]	PUNCT
cana-2668	92	38	.	.	PUNCT
cana-2668	93	1	the	the	DET
cana-2668	93	2	stacking	stack	VERB
cana-2668	93	3	architecture	architecture	NOUN
cana-2668	93	4	[	[	X
cana-2668	93	5	31	31	NUM
cana-2668	93	6	]	]	PUNCT
cana-2668	93	7	includes	include	VERB
cana-2668	93	8	two	two	NUM
cana-2668	93	9	models	model	NOUN
cana-2668	93	10	;	;	PUNCT
cana-2668	93	11	at	at	ADP
cana-2668	93	12	the	the	DET
cana-2668	93	13	low	low	ADJ
cana-2668	93	14	level	level	NOUN
cana-2668	93	15	,	,	PUNCT
cana-2668	93	16	more	more	ADJ
cana-2668	93	17	than	than	ADP
cana-2668	93	18	one	one	NUM
cana-2668	93	19	base	base	NOUN
cana-2668	93	20	model	model	NOUN
cana-2668	93	21	is	be	AUX
cana-2668	93	22	planted	plant	VERB
cana-2668	93	23	,	,	PUNCT
cana-2668	93	24	and	and	CCONJ
cana-2668	93	25	at	at	ADP
cana-2668	93	26	the	the	DET
cana-2668	93	27	upper	upper	ADJ
cana-2668	93	28	level	level	NOUN
cana-2668	93	29	,	,	PUNCT
cana-2668	93	30	there	there	PRON
cana-2668	93	31	is	be	VERB
cana-2668	93	32	one	one	NUM
cana-2668	93	33	metamodel	metamodel	NOUN
cana-2668	93	34	.	.	PUNCT
cana-2668	94	1	ensemble	ensemble	ADJ
cana-2668	94	2	means	mean	VERB
cana-2668	94	3	training	train	VERB
cana-2668	94	4	the	the	DET
cana-2668	94	5	base	base	NOUN
cana-2668	94	6	models	model	NOUN
cana-2668	94	7	with	with	ADP
cana-2668	94	8	the	the	DET
cana-2668	94	9	dataset	dataset	NOUN
cana-2668	94	10	and	and	CCONJ
cana-2668	94	11	getting	get	VERB
cana-2668	94	12	prediction	prediction	NOUN
cana-2668	94	13	data	datum	NOUN
cana-2668	94	14	at	at	ADP
cana-2668	94	15	a	a	DET
cana-2668	94	16	low	low	ADJ
cana-2668	94	17	level	level	NOUN
cana-2668	94	18	;	;	PUNCT
cana-2668	94	19	after	after	ADP
cana-2668	94	20	that	that	PRON
cana-2668	94	21	,	,	PUNCT
cana-2668	94	22	training	train	VERB
cana-2668	94	23	the	the	DET
cana-2668	94	24	meta	meta	NOUN
cana-2668	94	25	-	-	PUNCT
cana-2668	94	26	model	model	NOUN
cana-2668	94	27	with	with	ADP
cana-2668	94	28	prediction	prediction	NOUN
cana-2668	94	29	data	datum	NOUN
cana-2668	94	30	collected	collect	VERB
cana-2668	94	31	from	from	ADP
cana-2668	94	32	base	base	NOUN
cana-2668	94	33	models	model	NOUN
cana-2668	94	34	and	and	CCONJ
cana-2668	94	35	getting	get	VERB
cana-2668	94	36	a	a	DET
cana-2668	94	37	final	final	ADJ
cana-2668	94	38	prediction	prediction	NOUN
cana-2668	94	39	.	.	PUNCT
cana-2668	95	1	our	our	PRON
cana-2668	95	2	study	study	NOUN
cana-2668	95	3	advances	advance	VERB
cana-2668	95	4	the	the	DET
cana-2668	95	5	field	field	NOUN
cana-2668	95	6	by	by	ADP
cana-2668	95	7	combining	combine	VERB
cana-2668	95	8	diverse	diverse	ADJ
cana-2668	95	9	machine	machine	NOUN
cana-2668	95	10	-	-	PUNCT
cana-2668	95	11	learning	learn	VERB
cana-2668	95	12	techniques	technique	NOUN
cana-2668	95	13	and	and	CCONJ
cana-2668	95	14	employing	employ	VERB
cana-2668	95	15	stacking	stack	VERB
cana-2668	95	16	for	for	ADP
cana-2668	95	17	improved	improved	ADJ
cana-2668	95	18	accuracy	accuracy	NOUN
cana-2668	95	19	in	in	ADP
cana-2668	95	20	predicting	predict	VERB
cana-2668	95	21	academic	academic	ADJ
cana-2668	95	22	streams	stream	NOUN
cana-2668	95	23	.	.	PUNCT
cana-2668	96	1	by	by	ADP
cana-2668	96	2	addressing	address	VERB
cana-2668	96	3	the	the	DET
cana-2668	96	4	limitations	limitation	NOUN
cana-2668	96	5	observed	observe	VERB
cana-2668	96	6	in	in	ADP
cana-2668	96	7	prior	prior	ADJ
cana-2668	96	8	research	research	NOUN
cana-2668	96	9	,	,	PUNCT
cana-2668	96	10	our	our	PRON
cana-2668	96	11	work	work	NOUN
cana-2668	96	12	contributes	contribute	VERB
cana-2668	96	13	to	to	ADP
cana-2668	96	14	the	the	DET
cana-2668	96	15	ongoing	ongoing	ADJ
cana-2668	96	16	discourse	discourse	NOUN
cana-2668	96	17	on	on	ADP
cana-2668	96	18	leveraging	leverage	VERB
cana-2668	96	19	technology	technology	NOUN
cana-2668	96	20	to	to	PART
cana-2668	96	21	enhance	enhance	VERB
cana-2668	96	22	academic	academic	ADJ
cana-2668	96	23	student	student	NOUN
cana-2668	96	24	success	success	NOUN
cana-2668	96	25	.	.	PUNCT
cana-2668	97	1	4	4	X
cana-2668	97	2	.	.	X
cana-2668	97	3	methodology	methodology	NOUN
cana-2668	97	4	the	the	DET
cana-2668	97	5	methodology	methodology	NOUN
cana-2668	97	6	employed	employ	VERB
cana-2668	97	7	in	in	ADP
cana-2668	97	8	our	our	PRON
cana-2668	97	9	research	research	NOUN
cana-2668	97	10	delineates	delineate	VERB
cana-2668	97	11	a	a	DET
cana-2668	97	12	systematic	systematic	ADJ
cana-2668	97	13	approach	approach	NOUN
cana-2668	97	14	to	to	PART
cana-2668	97	15	accomplish	accomplish	VERB
cana-2668	97	16	our	our	PRON
cana-2668	97	17	objectives	objective	NOUN
cana-2668	97	18	,	,	PUNCT
cana-2668	97	19	encompassing	encompass	VERB
cana-2668	97	20	the	the	DET
cana-2668	97	21	following	follow	VERB
cana-2668	97	22	key	key	ADJ
cana-2668	97	23	steps	step	NOUN
cana-2668	97	24	:	:	PUNCT
cana-2668	97	25	4.1	4.1	NUM
cana-2668	97	26	data	datum	NOUN
cana-2668	97	27	collection	collection	NOUN
cana-2668	97	28	,	,	PUNCT
cana-2668	97	29	data	datum	NOUN
cana-2668	97	30	preprocessing	preprocessing	NOUN
cana-2668	97	31	,	,	PUNCT
cana-2668	97	32	and	and	CCONJ
cana-2668	97	33	cleaning	clean	VERB
cana-2668	97	34	4.2	4.2	NUM
cana-2668	97	35	data	datum	NOUN
cana-2668	97	36	splitting	splitting	NOUN
cana-2668	97	37	into	into	ADP
cana-2668	97	38	train	train	NOUN
cana-2668	97	39	and	and	CCONJ
cana-2668	97	40	test	test	NOUN
cana-2668	97	41	data	datum	NOUN
cana-2668	97	42	4.3	4.3	NUM
cana-2668	97	43	training	train	VERB
cana-2668	97	44	the	the	DET
cana-2668	97	45	model	model	NOUN
cana-2668	97	46	with	with	ADP
cana-2668	97	47	training	training	NOUN
cana-2668	97	48	data	datum	NOUN
cana-2668	97	49	4.4	4.4	NUM
cana-2668	97	50	testing	test	VERB
cana-2668	97	51	the	the	DET
cana-2668	97	52	model	model	NOUN
cana-2668	97	53	to	to	PART
cana-2668	97	54	predict	predict	VERB
cana-2668	97	55	the	the	DET
cana-2668	97	56	stream	stream	NOUN
cana-2668	97	57	this	this	DET
cana-2668	97	58	structured	structured	ADJ
cana-2668	97	59	methodology	methodology	NOUN
cana-2668	97	60	,	,	PUNCT
cana-2668	97	61	as	as	SCONJ
cana-2668	97	62	shown	show	VERB
cana-2668	97	63	in	in	ADP
cana-2668	97	64	figure	figure	NOUN
cana-2668	97	65	2	2	NUM
cana-2668	97	66	,	,	PUNCT
cana-2668	97	67	ensures	ensure	VERB
cana-2668	97	68	a	a	DET
cana-2668	97	69	systematic	systematic	ADJ
cana-2668	97	70	approach	approach	NOUN
cana-2668	97	71	to	to	ADP
cana-2668	97	72	solving	solve	VERB
cana-2668	97	73	our	our	PRON
cana-2668	97	74	research	research	NOUN
cana-2668	97	75	objectives	objective	NOUN
cana-2668	97	76	.	.	PUNCT
cana-2668	98	1	following	follow	VERB
cana-2668	98	2	these	these	DET
cana-2668	98	3	steps	step	NOUN
cana-2668	98	4	,	,	PUNCT
cana-2668	98	5	the	the	DET
cana-2668	98	6	outcome	outcome	NOUN
cana-2668	98	7	of	of	ADP
cana-2668	98	8	our	our	PRON
cana-2668	98	9	research	research	NOUN
cana-2668	98	10	endeavors	endeavor	NOUN
cana-2668	98	11	to	to	PART
cana-2668	98	12	provide	provide	VERB
cana-2668	98	13	reliable	reliable	ADJ
cana-2668	98	14	and	and	CCONJ
cana-2668	98	15	meaningful	meaningful	ADJ
cana-2668	98	16	insights	insight	NOUN
cana-2668	98	17	into	into	ADP
cana-2668	98	18	predicting	predict	VERB
cana-2668	98	19	academic	academic	ADJ
cana-2668	98	20	streams	stream	NOUN
cana-2668	98	21	for	for	ADP
cana-2668	98	22	students	student	NOUN
cana-2668	98	23	.	.	PUNCT
cana-2668	99	1	figure	figure	VERB
cana-2668	99	2	2	2	NUM
cana-2668	99	3	.	.	PUNCT
cana-2668	99	4	methodology	methodology	NOUN
cana-2668	99	5	4.1	4.1	NUM
cana-2668	99	6	data	datum	NOUN
cana-2668	99	7	collection	collection	NOUN
cana-2668	99	8	,	,	PUNCT
cana-2668	99	9	data	datum	NOUN
cana-2668	99	10	preprocessing	preprocessing	NOUN
cana-2668	99	11	,	,	PUNCT
cana-2668	99	12	and	and	CCONJ
cana-2668	99	13	cleaning	clean	VERB
cana-2668	99	14	data	datum	NOUN
cana-2668	99	15	was	be	AUX
cana-2668	99	16	collected	collect	VERB
cana-2668	99	17	from	from	ADP
cana-2668	99	18	the	the	DET
cana-2668	99	19	academic	academic	ADJ
cana-2668	99	20	branch	branch	NOUN
cana-2668	99	21	of	of	ADP
cana-2668	99	22	the	the	DET
cana-2668	99	23	panipat	panipat	PROPN
cana-2668	99	24	institute	institute	PROPN
cana-2668	99	25	of	of	ADP
cana-2668	99	26	engineering	engineering	NOUN
cana-2668	99	27	and	and	CCONJ
cana-2668	99	28	technology	technology	NOUN
cana-2668	99	29	(	(	PUNCT
cana-2668	99	30	piet	piet	ADJ
cana-2668	99	31	)	)	PUNCT
cana-2668	99	32	,	,	PUNCT
cana-2668	99	33	samalkha	samalkha	NOUN
cana-2668	99	34	,	,	PUNCT
cana-2668	99	35	delhi	delhi	PROPN
cana-2668	99	36	ncr	ncr	PROPN
cana-2668	99	37	,	,	PUNCT
cana-2668	99	38	haryana	haryana	PROPN
cana-2668	99	39	,	,	PUNCT
cana-2668	99	40	india	india	PROPN
cana-2668	99	41	.	.	PUNCT
cana-2668	100	1	this	this	DET
cana-2668	100	2	data	datum	NOUN
cana-2668	100	3	was	be	AUX
cana-2668	100	4	in	in	ADP
cana-2668	100	5	multiple	multiple	ADJ
cana-2668	100	6	word	word	NOUN
cana-2668	100	7	and	and	CCONJ
cana-2668	100	8	excel	excel	VERB
cana-2668	100	9	files	file	NOUN
cana-2668	100	10	,	,	PUNCT
cana-2668	100	11	each	each	DET
cana-2668	100	12	communications	communication	NOUN
cana-2668	100	13	on	on	ADP
cana-2668	100	14	applied	apply	VERB
cana-2668	100	15	nonlinear	nonlinear	ADJ
cana-2668	100	16	analysis	analysis	NOUN
cana-2668	100	17	issn	issn	NOUN
cana-2668	100	18	:	:	PUNCT
cana-2668	100	19	1074	1074	NUM
cana-2668	100	20	-	-	PUNCT
cana-2668	100	21	133x	133x	NUM
cana-2668	100	22	vol	vol	NOUN
cana-2668	100	23	32	32	NUM
cana-2668	100	24	no	no	NOUN
cana-2668	100	25	.	.	PUNCT
cana-2668	101	1	3s	3s	NUM
cana-2668	101	2	(	(	PUNCT
cana-2668	101	3	2025	2025	NUM
cana-2668	101	4	)	)	PUNCT
cana-2668	101	5	411	411	NUM
cana-2668	101	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2668	101	7	capturing	capture	VERB
cana-2668	101	8	distinct	distinct	ADJ
cana-2668	101	9	aspects	aspect	NOUN
cana-2668	101	10	of	of	ADP
cana-2668	101	11	student	student	NOUN
cana-2668	101	12	information	information	NOUN
cana-2668	101	13	.	.	PUNCT
cana-2668	102	1	a	a	DET
cana-2668	102	2	comprehensive	comprehensive	ADJ
cana-2668	102	3	dataset	dataset	NOUN
cana-2668	102	4	was	be	AUX
cana-2668	102	5	curated	curate	VERB
cana-2668	102	6	by	by	ADP
cana-2668	102	7	arranging	arrange	VERB
cana-2668	102	8	all	all	DET
cana-2668	102	9	attributes	attribute	NOUN
cana-2668	102	10	into	into	ADP
cana-2668	102	11	a	a	DET
cana-2668	102	12	single	single	ADJ
cana-2668	102	13	sheet	sheet	NOUN
cana-2668	102	14	,	,	PUNCT
cana-2668	102	15	as	as	SCONJ
cana-2668	102	16	represented	represent	VERB
cana-2668	102	17	in	in	ADP
cana-2668	102	18	figure	figure	NOUN
cana-2668	102	19	3	3	NUM
cana-2668	102	20	.	.	PUNCT
cana-2668	103	1	in	in	ADP
cana-2668	103	2	total	total	NOUN
cana-2668	103	3	,	,	PUNCT
cana-2668	103	4	the	the	DET
cana-2668	103	5	dataset	dataset	NOUN
cana-2668	103	6	encompasses	encompass	VERB
cana-2668	103	7	26	26	NUM
cana-2668	103	8	attributes	attribute	NOUN
cana-2668	103	9	,	,	PUNCT
cana-2668	103	10	each	each	PRON
cana-2668	103	11	of	of	ADP
cana-2668	103	12	which	which	PRON
cana-2668	103	13	is	be	AUX
cana-2668	103	14	described	describe	VERB
cana-2668	103	15	in	in	ADP
cana-2668	103	16	table	table	NOUN
cana-2668	103	17	1	1	NUM
cana-2668	103	18	.	.	PUNCT
cana-2668	103	19	figure	figure	VERB
cana-2668	103	20	3	3	NUM
cana-2668	103	21	.	.	PUNCT
cana-2668	103	22	final	final	ADJ
cana-2668	103	23	dataset	dataset	NOUN
cana-2668	103	24	used	use	VERB
cana-2668	103	25	for	for	ADP
cana-2668	103	26	prediction	prediction	NOUN
cana-2668	103	27	of	of	ADP
cana-2668	103	28	stream	stream	NOUN
cana-2668	103	29	to	to	PART
cana-2668	103	30	facilitate	facilitate	VERB
cana-2668	103	31	a	a	DET
cana-2668	103	32	standardized	standardized	ADJ
cana-2668	103	33	evaluation	evaluation	NOUN
cana-2668	103	34	,	,	PUNCT
cana-2668	103	35	marks	mark	NOUN
cana-2668	103	36	obtained	obtain	VERB
cana-2668	103	37	in	in	ADP
cana-2668	103	38	both	both	DET
cana-2668	103	39	school	school	NOUN
cana-2668	103	40	and	and	CCONJ
cana-2668	103	41	engineering	engineering	NOUN
cana-2668	103	42	were	be	AUX
cana-2668	103	43	converted	convert	VERB
cana-2668	103	44	into	into	ADP
cana-2668	103	45	percentages	percentage	NOUN
cana-2668	103	46	,	,	PUNCT
cana-2668	103	47	considering	consider	VERB
cana-2668	103	48	the	the	DET
cana-2668	103	49	inherent	inherent	ADJ
cana-2668	103	50	variations	variation	NOUN
cana-2668	103	51	in	in	ADP
cana-2668	103	52	performance	performance	NOUN
cana-2668	103	53	evaluation	evaluation	NOUN
cana-2668	103	54	criteria	criterion	NOUN
cana-2668	103	55	across	across	ADP
cana-2668	103	56	different	different	ADJ
cana-2668	103	57	educational	educational	ADJ
cana-2668	103	58	boards	board	NOUN
cana-2668	103	59	at	at	ADP
cana-2668	103	60	the	the	DET
cana-2668	103	61	school	school	NOUN
cana-2668	103	62	level	level	NOUN
cana-2668	103	63	.	.	PUNCT
cana-2668	104	1	though	though	SCONJ
cana-2668	104	2	initially	initially	ADV
cana-2668	104	3	included	include	VERB
cana-2668	104	4	,	,	PUNCT
cana-2668	104	5	marks	mark	NOUN
cana-2668	104	6	from	from	ADP
cana-2668	104	7	the	the	DET
cana-2668	104	8	graduation	graduation	NOUN
cana-2668	104	9	level	level	NOUN
cana-2668	104	10	were	be	AUX
cana-2668	104	11	ultimately	ultimately	ADV
cana-2668	104	12	excluded	exclude	VERB
cana-2668	104	13	from	from	ADP
cana-2668	104	14	the	the	DET
cana-2668	104	15	dataset	dataset	NOUN
cana-2668	104	16	as	as	SCONJ
cana-2668	104	17	they	they	PRON
cana-2668	104	18	proved	prove	VERB
cana-2668	104	19	unnecessary	unnecessary	ADJ
cana-2668	104	20	for	for	ADP
cana-2668	104	21	branch	branch	NOUN
cana-2668	104	22	prediction	prediction	NOUN
cana-2668	104	23	.	.	PUNCT
cana-2668	105	1	the	the	DET
cana-2668	105	2	grades	grade	NOUN
cana-2668	105	3	were	be	AUX
cana-2668	105	4	calculated	calculate	VERB
cana-2668	105	5	based	base	VERB
cana-2668	105	6	on	on	ADP
cana-2668	105	7	the	the	DET
cana-2668	105	8	average	average	ADJ
cana-2668	105	9	net	net	ADJ
cana-2668	105	10	percentage	percentage	NOUN
cana-2668	105	11	over	over	ADP
cana-2668	105	12	eight	eight	NUM
cana-2668	105	13	or	or	CCONJ
cana-2668	105	14	six	six	NUM
cana-2668	105	15	semesters	semester	NOUN
cana-2668	105	16	,	,	PUNCT
cana-2668	105	17	depending	depend	VERB
cana-2668	105	18	on	on	ADP
cana-2668	105	19	the	the	DET
cana-2668	105	20	course	course	NOUN
cana-2668	105	21	duration	duration	NOUN
cana-2668	105	22	(	(	PUNCT
cana-2668	105	23	applicable	applicable	ADJ
cana-2668	105	24	to	to	ADP
cana-2668	105	25	the	the	DET
cana-2668	105	26	bca	bca	PROPN
cana-2668	105	27	course	course	NOUN
cana-2668	105	28	)	)	PUNCT
cana-2668	105	29	.	.	PUNCT
cana-2668	106	1	the	the	DET
cana-2668	106	2	'	'	PUNCT
cana-2668	106	3	grade	grade	NOUN
cana-2668	106	4	'	'	PUNCT
cana-2668	106	5	field	field	NOUN
cana-2668	106	6	was	be	AUX
cana-2668	106	7	explicitly	explicitly	ADV
cana-2668	106	8	considered	consider	VERB
cana-2668	106	9	,	,	PUNCT
cana-2668	106	10	with	with	ADP
cana-2668	106	11	entries	entry	NOUN
cana-2668	106	12	restricted	restrict	VERB
cana-2668	106	13	to	to	ADP
cana-2668	106	14	either	either	PRON
cana-2668	106	15	grade	grade	NOUN
cana-2668	106	16	1	1	NUM
cana-2668	106	17	or	or	CCONJ
cana-2668	106	18	grade	grade	NOUN
cana-2668	106	19	2	2	NUM
cana-2668	106	20	.	.	PUNCT
cana-2668	106	21	subsequently	subsequently	ADV
cana-2668	106	22	,	,	PUNCT
cana-2668	106	23	data	datum	NOUN
cana-2668	106	24	about	about	ADP
cana-2668	106	25	these	these	DET
cana-2668	106	26	selected	select	VERB
cana-2668	106	27	grades	grade	NOUN
cana-2668	106	28	was	be	AUX
cana-2668	106	29	retained	retain	VERB
cana-2668	106	30	,	,	PUNCT
cana-2668	106	31	while	while	SCONJ
cana-2668	106	32	the	the	DET
cana-2668	106	33	'	'	PUNCT
cana-2668	106	34	grade	grade	NOUN
cana-2668	106	35	'	'	PUNCT
cana-2668	106	36	attribute	attribute	NOUN
cana-2668	106	37	was	be	AUX
cana-2668	106	38	omitted	omit	VERB
cana-2668	106	39	.	.	PUNCT
cana-2668	107	1	the	the	DET
cana-2668	107	2	pandas	panda	NOUN
cana-2668	107	3	module	module	NOUN
cana-2668	107	4	in	in	ADP
cana-2668	107	5	python	python	PROPN
cana-2668	107	6	allowed	allow	VERB
cana-2668	107	7	for	for	ADP
cana-2668	107	8	a	a	DET
cana-2668	107	9	smooth	smooth	ADJ
cana-2668	107	10	dataset	dataset	NOUN
cana-2668	107	11	loading	loading	NOUN
cana-2668	107	12	during	during	ADP
cana-2668	107	13	the	the	DET
cana-2668	107	14	data	data	NOUN
cana-2668	107	15	handling	handling	NOUN
cana-2668	107	16	and	and	CCONJ
cana-2668	107	17	analysis	analysis	NOUN
cana-2668	107	18	.	.	PUNCT
cana-2668	108	1	extraneous	extraneous	ADJ
cana-2668	108	2	attributes	attribute	NOUN
cana-2668	108	3	were	be	AUX
cana-2668	108	4	carefully	carefully	ADV
cana-2668	108	5	removed	remove	VERB
cana-2668	108	6	to	to	PART
cana-2668	108	7	create	create	VERB
cana-2668	108	8	a	a	DET
cana-2668	108	9	simplified	simplified	ADJ
cana-2668	108	10	and	and	CCONJ
cana-2668	108	11	pertinent	pertinent	ADJ
cana-2668	108	12	dataset	dataset	NOUN
cana-2668	108	13	for	for	ADP
cana-2668	108	14	our	our	PRON
cana-2668	108	15	further	further	ADJ
cana-2668	108	16	research	research	NOUN
cana-2668	108	17	stages	stage	NOUN
cana-2668	108	18	.	.	PUNCT
cana-2668	109	1	this	this	DET
cana-2668	109	2	systematic	systematic	ADJ
cana-2668	109	3	approach	approach	NOUN
cana-2668	109	4	to	to	ADP
cana-2668	109	5	gathering	gather	VERB
cana-2668	109	6	and	and	CCONJ
cana-2668	109	7	preparing	prepare	VERB
cana-2668	109	8	data	datum	NOUN
cana-2668	109	9	is	be	AUX
cana-2668	109	10	a	a	DET
cana-2668	109	11	fundamental	fundamental	ADJ
cana-2668	109	12	step	step	NOUN
cana-2668	109	13	in	in	ADP
cana-2668	109	14	our	our	PRON
cana-2668	109	15	effort	effort	NOUN
cana-2668	109	16	to	to	PART
cana-2668	109	17	use	use	VERB
cana-2668	109	18	machine	machine	NOUN
cana-2668	109	19	learning	learn	VERB
cana-2668	109	20	to	to	PART
cana-2668	109	21	forecast	forecast	VERB
cana-2668	109	22	academic	academic	ADJ
cana-2668	109	23	streams	stream	NOUN
cana-2668	109	24	and	and	CCONJ
cana-2668	109	25	provide	provide	VERB
cana-2668	109	26	insightful	insightful	ADJ
cana-2668	109	27	information	information	NOUN
cana-2668	109	28	to	to	ADP
cana-2668	109	29	the	the	DET
cana-2668	109	30	field	field	NOUN
cana-2668	109	31	of	of	ADP
cana-2668	109	32	education	education	NOUN
cana-2668	109	33	.	.	PUNCT
cana-2668	110	1	the	the	DET
cana-2668	110	2	factors	factor	NOUN
cana-2668	110	3	affecting	affect	VERB
cana-2668	110	4	the	the	DET
cana-2668	110	5	choice	choice	NOUN
cana-2668	110	6	of	of	ADP
cana-2668	110	7	stream	stream	NOUN
cana-2668	110	8	,	,	PUNCT
cana-2668	110	9	as	as	SCONJ
cana-2668	110	10	determined	determine	VERB
cana-2668	110	11	by	by	ADP
cana-2668	110	12	a	a	DET
cana-2668	110	13	thorough	thorough	ADJ
cana-2668	110	14	review	review	NOUN
cana-2668	110	15	of	of	ADP
cana-2668	110	16	the	the	DET
cana-2668	110	17	literature	literature	NOUN
cana-2668	110	18	,	,	PUNCT
cana-2668	110	19	include	include	VERB
cana-2668	110	20	primary	primary	ADJ
cana-2668	110	21	student	student	NOUN
cana-2668	110	22	data	datum	NOUN
cana-2668	110	23	like	like	ADP
cana-2668	110	24	age	age	NOUN
cana-2668	110	25	,	,	PUNCT
cana-2668	110	26	gender	gender	NOUN
cana-2668	110	27	,	,	PUNCT
cana-2668	110	28	category	category	NOUN
cana-2668	110	29	,	,	PUNCT
cana-2668	110	30	and	and	CCONJ
cana-2668	110	31	subject	subject	ADJ
cana-2668	110	32	preference	preference	NOUN
cana-2668	110	33	—	—	PUNCT
cana-2668	110	34	furthermore	furthermore	ADV
cana-2668	110	35	,	,	PUNCT
cana-2668	110	36	parents	parent	NOUN
cana-2668	110	37	'	'	PART
cana-2668	110	38	information	information	NOUN
cana-2668	110	39	like	like	ADP
cana-2668	110	40	their	their	PRON
cana-2668	110	41	work	work	NOUN
cana-2668	110	42	,	,	PUNCT
cana-2668	110	43	annual	annual	ADJ
cana-2668	110	44	income	income	NOUN
cana-2668	110	45	,	,	PUNCT
cana-2668	110	46	and	and	CCONJ
cana-2668	110	47	level	level	NOUN
cana-2668	110	48	of	of	ADP
cana-2668	110	49	social	social	ADJ
cana-2668	110	50	connectivity	connectivity	NOUN
cana-2668	110	51	.	.	PUNCT
cana-2668	111	1	decision	decision	NOUN
cana-2668	111	2	-	-	PUNCT
cana-2668	111	3	making	making	NOUN
cana-2668	111	4	is	be	AUX
cana-2668	111	5	further	far	ADV
cana-2668	111	6	aided	aid	VERB
cana-2668	111	7	by	by	ADP
cana-2668	111	8	residential	residential	ADJ
cana-2668	111	9	data	datum	NOUN
cana-2668	111	10	that	that	PRON
cana-2668	111	11	spans	span	VERB
cana-2668	111	12	the	the	DET
cana-2668	111	13	state	state	NOUN
cana-2668	111	14	,	,	PUNCT
cana-2668	111	15	district	district	NOUN
cana-2668	111	16	,	,	PUNCT
cana-2668	111	17	and	and	CCONJ
cana-2668	111	18	area	area	NOUN
cana-2668	111	19	.	.	PUNCT
cana-2668	112	1	one	one	NUM
cana-2668	112	2	crucial	crucial	ADJ
cana-2668	112	3	factor	factor	NOUN
cana-2668	112	4	is	be	AUX
cana-2668	112	5	academic	academic	ADJ
cana-2668	112	6	performance	performance	NOUN
cana-2668	112	7	,	,	PUNCT
cana-2668	112	8	which	which	PRON
cana-2668	112	9	includes	include	VERB
cana-2668	112	10	entrance	entrance	NOUN
cana-2668	112	11	,	,	PUNCT
cana-2668	112	12	senior	senior	ADJ
cana-2668	112	13	secondary	secondary	ADJ
cana-2668	112	14	,	,	PUNCT
cana-2668	112	15	and	and	CCONJ
cana-2668	112	16	school	school	NOUN
cana-2668	112	17	levels	level	NOUN
cana-2668	112	18	academic	academic	ADJ
cana-2668	112	19	grades	grade	NOUN
cana-2668	112	20	.	.	PUNCT
cana-2668	113	1	it	it	PRON
cana-2668	113	2	is	be	AUX
cana-2668	113	3	also	also	ADV
cana-2668	113	4	acknowledged	acknowledge	VERB
cana-2668	113	5	that	that	SCONJ
cana-2668	113	6	market	market	NOUN
cana-2668	113	7	demand	demand	NOUN
cana-2668	113	8	is	be	AUX
cana-2668	113	9	critical	critical	ADJ
cana-2668	113	10	in	in	ADP
cana-2668	113	11	influencing	influence	VERB
cana-2668	113	12	stream	stream	NOUN
cana-2668	113	13	selection	selection	NOUN
cana-2668	113	14	.	.	PUNCT
cana-2668	114	1	to	to	PART
cana-2668	114	2	ensure	ensure	VERB
cana-2668	114	3	the	the	DET
cana-2668	114	4	robustness	robustness	NOUN
cana-2668	114	5	of	of	ADP
cana-2668	114	6	our	our	PRON
cana-2668	114	7	predictive	predictive	ADJ
cana-2668	114	8	model	model	NOUN
cana-2668	114	9	,	,	PUNCT
cana-2668	114	10	we	we	PRON
cana-2668	114	11	gathered	gather	VERB
cana-2668	114	12	student	student	NOUN
cana-2668	114	13	data	datum	NOUN
cana-2668	114	14	spanning	span	VERB
cana-2668	114	15	from	from	ADP
cana-2668	114	16	2007	2007	NUM
cana-2668	114	17	to	to	ADP
cana-2668	114	18	2021	2021	NUM
cana-2668	114	19	across	across	ADP
cana-2668	114	20	disciplines	discipline	NOUN
cana-2668	114	21	such	such	ADJ
cana-2668	114	22	as	as	ADP
cana-2668	114	23	computer	computer	NOUN
cana-2668	114	24	science	science	NOUN
cana-2668	114	25	engineering	engineering	NOUN
cana-2668	114	26	,	,	PUNCT
cana-2668	114	27	information	information	NOUN
cana-2668	114	28	technology	technology	NOUN
cana-2668	114	29	,	,	PUNCT
cana-2668	114	30	electronics	electronic	NOUN
cana-2668	114	31	and	and	CCONJ
cana-2668	114	32	communication	communication	NOUN
cana-2668	114	33	engineering	engineering	NOUN
cana-2668	114	34	,	,	PUNCT
cana-2668	114	35	mechanical	mechanical	ADJ
cana-2668	114	36	engineering	engineering	NOUN
cana-2668	114	37	,	,	PUNCT
cana-2668	114	38	and	and	CCONJ
cana-2668	114	39	bachelor	bachelor	NOUN
cana-2668	114	40	of	of	ADP
cana-2668	114	41	computer	computer	NOUN
cana-2668	114	42	applications	application	NOUN
cana-2668	114	43	(	(	PUNCT
cana-2668	114	44	bca	bca	PROPN
cana-2668	114	45	)	)	PUNCT
cana-2668	114	46	.	.	PUNCT
cana-2668	115	1	the	the	DET
cana-2668	115	2	inclusion	inclusion	NOUN
cana-2668	115	3	criteria	criterion	NOUN
cana-2668	115	4	for	for	ADP
cana-2668	115	5	data	datum	NOUN
cana-2668	115	6	entries	entry	NOUN
cana-2668	115	7	were	be	AUX
cana-2668	115	8	stringent	stringent	ADJ
cana-2668	115	9	,	,	PUNCT
cana-2668	115	10	focusing	focus	VERB
cana-2668	115	11	on	on	ADP
cana-2668	115	12	students	student	NOUN
cana-2668	115	13	with	with	ADP
cana-2668	115	14	good	good	ADJ
cana-2668	115	15	and	and	CCONJ
cana-2668	115	16	excellent	excellent	ADJ
cana-2668	115	17	academic	academic	ADJ
cana-2668	115	18	grades	grade	NOUN
cana-2668	115	19	or	or	CCONJ
cana-2668	115	20	those	those	PRON
cana-2668	115	21	who	who	PRON
cana-2668	115	22	secured	secure	VERB
cana-2668	115	23	job	job	NOUN
cana-2668	115	24	placements	placement	NOUN
cana-2668	115	25	.	.	PUNCT
cana-2668	116	1	communications	communication	NOUN
cana-2668	116	2	on	on	ADP
cana-2668	116	3	applied	apply	VERB
cana-2668	116	4	nonlinear	nonlinear	ADJ
cana-2668	116	5	analysis	analysis	NOUN
cana-2668	116	6	issn	issn	NOUN
cana-2668	116	7	:	:	PUNCT
cana-2668	116	8	1074	1074	NUM
cana-2668	116	9	-	-	PUNCT
cana-2668	116	10	133x	133x	NUM
cana-2668	116	11	vol	vol	NOUN
cana-2668	116	12	32	32	NUM
cana-2668	116	13	no	no	NOUN
cana-2668	116	14	.	.	PUNCT
cana-2668	117	1	3s	3s	NUM
cana-2668	117	2	(	(	PUNCT
cana-2668	117	3	2025	2025	NUM
cana-2668	117	4	)	)	PUNCT
cana-2668	117	5	412	412	NUM
cana-2668	117	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2668	117	7	in	in	ADP
cana-2668	117	8	refining	refine	VERB
cana-2668	117	9	the	the	DET
cana-2668	117	10	dataset	dataset	NOUN
cana-2668	117	11	for	for	ADP
cana-2668	117	12	analysis	analysis	NOUN
cana-2668	117	13	,	,	PUNCT
cana-2668	117	14	extraneous	extraneous	ADJ
cana-2668	117	15	fields	field	NOUN
cana-2668	117	16	such	such	ADJ
cana-2668	117	17	as	as	ADP
cana-2668	117	18	roll	roll	NOUN
cana-2668	117	19	number	number	NOUN
cana-2668	117	20	,	,	PUNCT
cana-2668	117	21	name	name	NOUN
cana-2668	117	22	,	,	PUNCT
cana-2668	117	23	batch	batch	NOUN
cana-2668	117	24	,	,	PUNCT
cana-2668	117	25	graduationlevel	graduationlevel	ADJ
cana-2668	117	26	percentages	percentage	NOUN
cana-2668	117	27	,	,	PUNCT
cana-2668	117	28	grade	grade	NOUN
cana-2668	117	29	,	,	PUNCT
cana-2668	117	30	and	and	CCONJ
cana-2668	117	31	package	package	NOUN
cana-2668	117	32	were	be	AUX
cana-2668	117	33	judiciously	judiciously	ADV
cana-2668	117	34	removed	remove	VERB
cana-2668	117	35	.	.	PUNCT
cana-2668	118	1	this	this	DET
cana-2668	118	2	meticulous	meticulous	ADJ
cana-2668	118	3	curation	curation	NOUN
cana-2668	118	4	process	process	NOUN
cana-2668	118	5	,	,	PUNCT
cana-2668	118	6	outlined	outline	VERB
cana-2668	118	7	in	in	ADP
cana-2668	118	8	table	table	NOUN
cana-2668	118	9	1	1	NUM
cana-2668	118	10	,	,	PUNCT
cana-2668	118	11	ensures	ensure	VERB
cana-2668	118	12	that	that	SCONJ
cana-2668	118	13	the	the	DET
cana-2668	118	14	dataset	dataset	NOUN
cana-2668	118	15	is	be	AUX
cana-2668	118	16	tailored	tailor	VERB
cana-2668	118	17	for	for	ADP
cana-2668	118	18	predictive	predictive	ADJ
cana-2668	118	19	modelling	modelling	NOUN
cana-2668	118	20	,	,	PUNCT
cana-2668	118	21	focusing	focus	VERB
cana-2668	118	22	on	on	ADP
cana-2668	118	23	relevant	relevant	ADJ
cana-2668	118	24	attributes	attribute	NOUN
cana-2668	118	25	conducive	conducive	ADJ
cana-2668	118	26	to	to	ADP
cana-2668	118	27	accurate	accurate	ADJ
cana-2668	118	28	stream	stream	NOUN
cana-2668	118	29	selection	selection	NOUN
cana-2668	118	30	predictions	prediction	NOUN
cana-2668	118	31	.	.	PUNCT
cana-2668	119	1	table	table	NOUN
cana-2668	119	2	1	1	NUM
cana-2668	119	3	attributes	attribute	NOUN
cana-2668	119	4	,	,	PUNCT
cana-2668	119	5	their	their	PRON
cana-2668	119	6	description	description	NOUN
cana-2668	119	7	,	,	PUNCT
cana-2668	119	8	and	and	CCONJ
cana-2668	119	9	selection	selection	NOUN
cana-2668	119	10	for	for	ADP
cana-2668	119	11	stream	stream	NOUN
cana-2668	119	12	prediction	prediction	NOUN
cana-2668	120	1	sr	sr	PROPN
cana-2668	120	2	no	no	INTJ
cana-2668	120	3	.	.	PUNCT
cana-2668	120	4	attribute	attribute	NOUN
cana-2668	120	5	description	description	NOUN
cana-2668	120	6	1	1	NUM
cana-2668	120	7	.	.	PUNCT
cana-2668	120	8	roll	roll	VERB
cana-2668	120	9	no	no	DET
cana-2668	120	10	the	the	DET
cana-2668	120	11	unique	unique	ADJ
cana-2668	120	12	identity	identity	NOUN
cana-2668	120	13	of	of	ADP
cana-2668	120	14	the	the	DET
cana-2668	120	15	student	student	NOUN
cana-2668	120	16	.	.	PUNCT
cana-2668	121	1	not	not	PART
cana-2668	121	2	needed	need	VERB
cana-2668	121	3	for	for	ADP
cana-2668	121	4	stream	stream	NOUN
cana-2668	121	5	prediction	prediction	NOUN
cana-2668	121	6	.	.	PUNCT
cana-2668	122	1	2	2	X
cana-2668	122	2	.	.	X
cana-2668	122	3	name	name	NOUN
cana-2668	122	4	name	name	NOUN
cana-2668	122	5	of	of	ADP
cana-2668	122	6	the	the	DET
cana-2668	122	7	student	student	NOUN
cana-2668	122	8	.	.	PUNCT
cana-2668	123	1	3	3	X
cana-2668	123	2	.	.	X
cana-2668	123	3	batch	batch	VERB
cana-2668	123	4	the	the	DET
cana-2668	123	5	year	year	NOUN
cana-2668	123	6	when	when	SCONJ
cana-2668	123	7	a	a	DET
cana-2668	123	8	student	student	NOUN
cana-2668	123	9	got	get	AUX
cana-2668	123	10	admitted	admit	VERB
cana-2668	123	11	4	4	NUM
cana-2668	123	12	.	.	PUNCT
cana-2668	123	13	zodiac	zodiac	NOUN
cana-2668	123	14	the	the	DET
cana-2668	123	15	zodiac	zodiac	NOUN
cana-2668	123	16	sign	sign	NOUN
cana-2668	123	17	was	be	AUX
cana-2668	123	18	calculated	calculate	VERB
cana-2668	123	19	using	use	VERB
cana-2668	123	20	an	an	DET
cana-2668	123	21	excel	excel	NOUN
cana-2668	123	22	formula	formula	NOUN
cana-2668	123	23	with	with	ADP
cana-2668	123	24	the	the	DET
cana-2668	123	25	date	date	NOUN
cana-2668	123	26	of	of	ADP
cana-2668	123	27	birth	birth	NOUN
cana-2668	123	28	.	.	PUNCT
cana-2668	124	1	5	5	X
cana-2668	124	2	.	.	X
cana-2668	124	3	gender	gender	NOUN
cana-2668	124	4	gender	gender	NOUN
cana-2668	124	5	of	of	ADP
cana-2668	124	6	student	student	NOUN
cana-2668	124	7	.	.	PUNCT
cana-2668	125	1	6	6	X
cana-2668	125	2	.	.	X
cana-2668	125	3	cat	cat	NOUN
cana-2668	125	4	category	category	NOUN
cana-2668	125	5	of	of	ADP
cana-2668	125	6	student	student	NOUN
cana-2668	125	7	:	:	PUNCT
cana-2668	125	8	general	general	ADJ
cana-2668	125	9	,	,	PUNCT
cana-2668	125	10	bc	bc	PROPN
cana-2668	125	11	,	,	PUNCT
cana-2668	125	12	and	and	CCONJ
cana-2668	125	13	sc	sc	PROPN
cana-2668	125	14	7	7	NUM
cana-2668	125	15	.	.	PROPN
cana-2668	125	16	fi	fi	NOUN
cana-2668	125	17	financial	financial	ADJ
cana-2668	125	18	income	income	NOUN
cana-2668	125	19	status	status	NOUN
cana-2668	125	20	a	a	DET
cana-2668	125	21	,	,	PUNCT
cana-2668	125	22	b	b	NOUN
cana-2668	125	23	,	,	PUNCT
cana-2668	125	24	and	and	CCONJ
cana-2668	125	25	c	c	NOUN
cana-2668	125	26	8	8	NUM
cana-2668	125	27	.	.	PUNCT
cana-2668	126	1	city	city	NOUN
cana-2668	126	2	the	the	DET
cana-2668	126	3	part	part	NOUN
cana-2668	126	4	of	of	ADP
cana-2668	126	5	the	the	DET
cana-2668	126	6	country	country	NOUN
cana-2668	126	7	9	9	NUM
cana-2668	126	8	.	.	PUNCT
cana-2668	126	9	location	location	NOUN
cana-2668	126	10	rural	rural	ADJ
cana-2668	126	11	or	or	CCONJ
cana-2668	126	12	urban	urban	ADJ
cana-2668	126	13	areas	area	NOUN
cana-2668	126	14	10	10	NUM
cana-2668	126	15	.	.	PUNCT
cana-2668	127	1	phone	phone	NOUN
cana-2668	127	2	connectivity	connectivity	NOUN
cana-2668	127	3	with	with	ADP
cana-2668	127	4	student	student	NOUN
cana-2668	127	5	/	/	SYM
cana-2668	127	6	father	father	NOUN
cana-2668	127	7	/	/	SYM
cana-2668	127	8	mother	mother	NOUN
cana-2668	127	9	/	/	SYM
cana-2668	127	10	guardian	guardian	NOUN
cana-2668	127	11	11	11	NUM
cana-2668	127	12	.	.	PUNCT
cana-2668	128	1	hostel	hostel	NOUN
cana-2668	128	2	willing	willing	ADJ
cana-2668	128	3	to	to	PART
cana-2668	128	4	live	live	VERB
cana-2668	128	5	in	in	ADP
cana-2668	128	6	a	a	DET
cana-2668	128	7	hostel	hostel	NOUN
cana-2668	128	8	or	or	CCONJ
cana-2668	128	9	day	day	NOUN
cana-2668	128	10	scholar	scholar	NOUN
cana-2668	128	11	.	.	PUNCT
cana-2668	129	1	12	12	NUM
cana-2668	129	2	.	.	PUNCT
cana-2668	129	3	10th	10th	ADJ
cana-2668	129	4	%	%	NOUN
cana-2668	129	5	intermediate	intermediate	ADJ
cana-2668	129	6	school	school	NOUN
cana-2668	129	7	level	level	NOUN
cana-2668	129	8	marks	mark	VERB
cana-2668	129	9	13	13	NUM
cana-2668	129	10	.	.	PUNCT
cana-2668	130	1	12th	12th	ADJ
cana-2668	130	2	%	%	NOUN
cana-2668	130	3	senior	senior	ADJ
cana-2668	130	4	secondary	secondary	ADJ
cana-2668	130	5	school	school	NOUN
cana-2668	130	6	level	level	NOUN
cana-2668	130	7	marks	mark	VERB
cana-2668	130	8	14	14	NUM
cana-2668	130	9	.	.	PUNCT
cana-2668	131	1	pqt	pqt	NOUN
cana-2668	131	2	entrance	entrance	NOUN
cana-2668	131	3	test	test	NOUN
cana-2668	131	4	marks	mark	NOUN
cana-2668	131	5	15	15	NUM
cana-2668	131	6	.	.	PUNCT
cana-2668	132	1	1st	1st	ADJ
cana-2668	132	2	%	%	NOUN
cana-2668	132	3	-8th	-8th	PUNCT
cana-2668	132	4	%	%	NOUN
cana-2668	132	5	marks	mark	NOUN
cana-2668	132	6	1st	1st	PROPN
cana-2668	132	7	sem	sem	NOUN
cana-2668	132	8	to	to	ADP
cana-2668	132	9	8th	8th	PROPN
cana-2668	132	10	sem	sem	NOUN
cana-2668	132	11	.	.	PROPN
cana-2668	132	12	16	16	NUM
cana-2668	132	13	.	.	PUNCT
cana-2668	133	1	net%	net%	VERB
cana-2668	133	2	the	the	DET
cana-2668	133	3	average	average	ADJ
cana-2668	133	4	percentage	percentage	NOUN
cana-2668	133	5	17	17	NUM
cana-2668	133	6	.	.	PUNCT
cana-2668	134	1	grade	grade	NOUN
cana-2668	134	2	average	average	ADJ
cana-2668	134	3	,	,	PUNCT
cana-2668	134	4	good	good	ADJ
cana-2668	134	5	,	,	PUNCT
cana-2668	134	6	and	and	CCONJ
cana-2668	134	7	excellent	excellent	ADJ
cana-2668	134	8	.	.	PUNCT
cana-2668	135	1	18	18	NUM
cana-2668	135	2	.	.	X
cana-2668	135	3	package	package	VERB
cana-2668	135	4	the	the	DET
cana-2668	135	5	salary	salary	NOUN
cana-2668	135	6	package	package	NOUN
cana-2668	135	7	19	19	NUM
cana-2668	135	8	.	.	PUNCT
cana-2668	135	9	branch	branch	NOUN
cana-2668	135	10	/	/	SYM
cana-2668	135	11	stream	stream	NOUN
cana-2668	135	12	the	the	DET
cana-2668	135	13	stream	stream	NOUN
cana-2668	135	14	of	of	ADP
cana-2668	135	15	students	student	NOUN
cana-2668	135	16	:	:	PUNCT
cana-2668	135	17	cse	cse	NOUN
cana-2668	135	18	/	/	SYM
cana-2668	135	19	it	it	PRON
cana-2668	135	20	,	,	PUNCT
cana-2668	135	21	bca	bca	PROPN
cana-2668	135	22	,	,	PUNCT
cana-2668	135	23	ece	ece	PROPN
cana-2668	135	24	/	/	SYM
cana-2668	135	25	me	i	PRON
cana-2668	135	26	.	.	PUNCT
cana-2668	136	1	the	the	DET
cana-2668	136	2	seaborn	seaborn	PROPN
cana-2668	136	3	library	library	PROPN
cana-2668	136	4	's	's	PART
cana-2668	136	5	barplot	barplot	NOUN
cana-2668	136	6	function	function	NOUN
cana-2668	136	7	generated	generate	VERB
cana-2668	136	8	a	a	DET
cana-2668	136	9	bar	bar	NOUN
cana-2668	136	10	graph	graph	NOUN
cana-2668	136	11	to	to	PART
cana-2668	136	12	display	display	VERB
cana-2668	136	13	the	the	DET
cana-2668	136	14	count	count	NOUN
cana-2668	136	15	of	of	ADP
cana-2668	136	16	different	different	ADJ
cana-2668	136	17	categorical	categorical	ADJ
cana-2668	136	18	attributes	attribute	NOUN
cana-2668	136	19	,	,	PUNCT
cana-2668	136	20	as	as	SCONJ
cana-2668	136	21	represented	represent	VERB
cana-2668	136	22	in	in	ADP
cana-2668	136	23	figure	figure	NOUN
cana-2668	136	24	4	4	NUM
cana-2668	136	25	.	.	PUNCT
cana-2668	136	26	categories	category	NOUN
cana-2668	136	27	within	within	ADP
cana-2668	136	28	the	the	DET
cana-2668	136	29	dataset	dataset	NOUN
cana-2668	136	30	are	be	AUX
cana-2668	136	31	assigned	assign	VERB
cana-2668	136	32	three	three	NUM
cana-2668	136	33	distinct	distinct	ADJ
cana-2668	136	34	values	value	NOUN
cana-2668	136	35	:	:	PUNCT
cana-2668	136	36	general	general	ADJ
cana-2668	136	37	,	,	PUNCT
cana-2668	136	38	bc	bc	PROPN
cana-2668	136	39	(	(	PUNCT
cana-2668	136	40	backward	backward	ADJ
cana-2668	136	41	class	class	NOUN
cana-2668	136	42	)	)	PUNCT
cana-2668	136	43	,	,	PUNCT
cana-2668	136	44	and	and	CCONJ
cana-2668	136	45	sc	sc	PROPN
cana-2668	136	46	(	(	PUNCT
cana-2668	136	47	scheduled	schedule	VERB
cana-2668	136	48	caste	caste	NOUN
cana-2668	136	49	)	)	PUNCT
cana-2668	136	50	.	.	PUNCT
cana-2668	137	1	the	the	DET
cana-2668	137	2	city	city	NOUN
cana-2668	137	3	attribute	attribute	NOUN
cana-2668	137	4	is	be	AUX
cana-2668	137	5	the	the	DET
cana-2668	137	6	residential	residential	ADJ
cana-2668	137	7	place	place	NOUN
cana-2668	137	8	of	of	ADP
cana-2668	137	9	the	the	DET
cana-2668	137	10	student	student	NOUN
cana-2668	137	11	;	;	PUNCT
cana-2668	137	12	geographically	geographically	ADV
cana-2668	137	13	,	,	PUNCT
cana-2668	137	14	the	the	DET
cana-2668	137	15	country	country	NOUN
cana-2668	137	16	is	be	AUX
cana-2668	137	17	segmented	segment	VERB
cana-2668	137	18	into	into	ADP
cana-2668	137	19	six	six	NUM
cana-2668	137	20	parts	part	NOUN
cana-2668	137	21	,	,	PUNCT
cana-2668	137	22	including	include	VERB
cana-2668	137	23	four	four	NUM
cana-2668	137	24	regions	region	NOUN
cana-2668	137	25	within	within	ADP
cana-2668	137	26	the	the	DET
cana-2668	137	27	haryana	haryana	PROPN
cana-2668	137	28	state	state	NOUN
cana-2668	137	29	,	,	PUNCT
cana-2668	137	30	denoted	denote	VERB
cana-2668	137	31	as	as	ADP
cana-2668	137	32	majority	majority	NOUN
cana-2668	137	33	locations	location	NOUN
cana-2668	137	34	,	,	PUNCT
cana-2668	137	35	along	along	ADP
cana-2668	137	36	with	with	ADP
cana-2668	137	37	the	the	DET
cana-2668	137	38	delhi	delhi	PROPN
cana-2668	137	39	-	-	PUNCT
cana-2668	137	40	ncr	ncr	PROPN
cana-2668	137	41	and	and	CCONJ
cana-2668	137	42	other	other	ADJ
cana-2668	137	43	states	state	NOUN
cana-2668	137	44	(	(	PUNCT
cana-2668	137	45	os	os	NOUN
cana-2668	137	46	)	)	PUNCT
cana-2668	137	47	category	category	NOUN
cana-2668	137	48	for	for	ADP
cana-2668	137	49	locations	location	NOUN
cana-2668	137	50	outside	outside	ADP
cana-2668	137	51	haryana	haryana	PROPN
cana-2668	137	52	.	.	PUNCT
cana-2668	138	1	in	in	ADP
cana-2668	138	2	addition	addition	NOUN
cana-2668	138	3	to	to	ADP
cana-2668	138	4	the	the	DET
cana-2668	138	5	residential	residential	ADJ
cana-2668	138	6	area	area	NOUN
cana-2668	138	7	,	,	PUNCT
cana-2668	138	8	the	the	DET
cana-2668	138	9	location	location	NOUN
cana-2668	138	10	attribute	attribute	NOUN
cana-2668	138	11	was	be	AUX
cana-2668	138	12	taken	take	VERB
cana-2668	138	13	for	for	ADP
cana-2668	138	14	two	two	NUM
cana-2668	138	15	places	place	NOUN
cana-2668	138	16	,	,	PUNCT
cana-2668	138	17	urban	urban	ADJ
cana-2668	138	18	and	and	CCONJ
cana-2668	138	19	rural	rural	ADJ
cana-2668	138	20	,	,	PUNCT
cana-2668	138	21	along	along	ADP
cana-2668	138	22	with	with	ADP
cana-2668	138	23	five	five	NUM
cana-2668	138	24	variations	variation	NOUN
cana-2668	138	25	in	in	ADP
cana-2668	138	26	parents	parent	NOUN
cana-2668	138	27	'	'	PART
cana-2668	138	28	phone	phone	NOUN
cana-2668	138	29	/	/	SYM
cana-2668	138	30	mobile	mobile	NOUN
cana-2668	138	31	connectivity	connectivity	NOUN
cana-2668	138	32	.	.	PUNCT
cana-2668	139	1	the	the	DET
cana-2668	139	2	categories	category	NOUN
cana-2668	139	3	were	be	AUX
cana-2668	139	4	encoded	encode	VERB
cana-2668	139	5	into	into	ADP
cana-2668	139	6	integers	integer	NOUN
cana-2668	139	7	using	use	VERB
cana-2668	139	8	the	the	DET
cana-2668	139	9	labelencoder	labelencoder	NOUN
cana-2668	139	10	method	method	NOUN
cana-2668	139	11	for	for	ADP
cana-2668	139	12	practical	practical	ADJ
cana-2668	139	13	analysis	analysis	NOUN
cana-2668	139	14	and	and	CCONJ
cana-2668	139	15	model	model	NOUN
cana-2668	139	16	compatibility	compatibility	NOUN
cana-2668	139	17	.	.	PUNCT
cana-2668	140	1	the	the	DET
cana-2668	140	2	resulting	result	VERB
cana-2668	140	3	dataset	dataset	NOUN
cana-2668	140	4	,	,	PUNCT
cana-2668	140	5	post	post	ADJ
cana-2668	140	6	-	-	ADJ
cana-2668	140	7	label	label	ADJ
cana-2668	140	8	encoding	encoding	NOUN
cana-2668	140	9	,	,	PUNCT
cana-2668	140	10	is	be	AUX
cana-2668	140	11	illustrated	illustrate	VERB
cana-2668	140	12	in	in	ADP
cana-2668	140	13	figure	figure	NOUN
cana-2668	140	14	5	5	NUM
cana-2668	140	15	.	.	PUNCT
cana-2668	141	1	this	this	DET
cana-2668	141	2	process	process	NOUN
cana-2668	141	3	ensures	ensure	VERB
cana-2668	141	4	that	that	SCONJ
cana-2668	141	5	categorical	categorical	ADJ
cana-2668	141	6	data	datum	NOUN
cana-2668	141	7	is	be	AUX
cana-2668	141	8	appropriately	appropriately	ADV
cana-2668	141	9	transformed	transform	VERB
cana-2668	141	10	for	for	ADP
cana-2668	141	11	subsequent	subsequent	ADJ
cana-2668	141	12	modeling	modeling	NOUN
cana-2668	141	13	and	and	CCONJ
cana-2668	141	14	analysis	analysis	NOUN
cana-2668	141	15	,	,	PUNCT
cana-2668	141	16	facilitating	facilitate	VERB
cana-2668	141	17	a	a	DET
cana-2668	141	18	more	more	ADV
cana-2668	141	19	comprehensive	comprehensive	ADJ
cana-2668	141	20	understanding	understanding	NOUN
cana-2668	141	21	of	of	ADP
cana-2668	141	22	the	the	DET
cana-2668	141	23	dataset	dataset	NOUN
cana-2668	141	24	's	's	PART
cana-2668	141	25	structure	structure	NOUN
cana-2668	141	26	and	and	CCONJ
cana-2668	141	27	patterns	pattern	NOUN
cana-2668	141	28	.	.	PUNCT
cana-2668	142	1	communications	communication	NOUN
cana-2668	142	2	on	on	ADP
cana-2668	142	3	applied	apply	VERB
cana-2668	142	4	nonlinear	nonlinear	ADJ
cana-2668	142	5	analysis	analysis	NOUN
cana-2668	142	6	issn	issn	NOUN
cana-2668	142	7	:	:	PUNCT
cana-2668	142	8	1074	1074	NUM
cana-2668	142	9	-	-	PUNCT
cana-2668	142	10	133x	133x	NUM
cana-2668	142	11	vol	vol	NOUN
cana-2668	142	12	32	32	NUM
cana-2668	142	13	no	no	NOUN
cana-2668	142	14	.	.	PUNCT
cana-2668	143	1	3s	3s	NUM
cana-2668	143	2	(	(	PUNCT
cana-2668	143	3	2025	2025	NUM
cana-2668	143	4	)	)	PUNCT
cana-2668	143	5	413	413	NUM
cana-2668	143	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2668	143	7	figure	figure	NOUN
cana-2668	143	8	4	4	NUM
cana-2668	143	9	.	.	PUNCT
cana-2668	143	10	categorical	categorical	ADJ
cana-2668	143	11	attributes	attribute	NOUN
cana-2668	143	12	value	value	NOUN
cana-2668	143	13	count	count	VERB
cana-2668	143	14	4.2	4.2	NUM
cana-2668	143	15	data	datum	NOUN
cana-2668	143	16	splitting	splitting	NOUN
cana-2668	143	17	into	into	ADP
cana-2668	143	18	train	train	NOUN
cana-2668	143	19	and	and	CCONJ
cana-2668	143	20	test	test	NOUN
cana-2668	143	21	data	datum	NOUN
cana-2668	143	22	the	the	DET
cana-2668	143	23	dataset	dataset	NOUN
cana-2668	143	24	is	be	AUX
cana-2668	143	25	split	split	VERB
cana-2668	143	26	into	into	ADP
cana-2668	143	27	separate	separate	ADJ
cana-2668	143	28	sets	set	NOUN
cana-2668	143	29	for	for	ADP
cana-2668	143	30	testing	testing	NOUN
cana-2668	143	31	and	and	CCONJ
cana-2668	143	32	training	training	NOUN
cana-2668	143	33	.	.	PUNCT
cana-2668	144	1	this	this	DET
cana-2668	144	2	task	task	NOUN
cana-2668	144	3	is	be	AUX
cana-2668	144	4	essential	essential	ADJ
cana-2668	144	5	for	for	ADP
cana-2668	144	6	evaluating	evaluate	VERB
cana-2668	144	7	the	the	DET
cana-2668	144	8	model	model	NOUN
cana-2668	144	9	's	's	PART
cana-2668	144	10	performance	performance	NOUN
cana-2668	144	11	by	by	ADP
cana-2668	144	12	conducting	conduct	VERB
cana-2668	144	13	a	a	DET
cana-2668	144	14	thorough	thorough	ADJ
cana-2668	144	15	assessment	assessment	NOUN
cana-2668	144	16	to	to	PART
cana-2668	144	17	predict	predict	VERB
cana-2668	144	18	the	the	DET
cana-2668	144	19	results	result	NOUN
cana-2668	144	20	.	.	PUNCT
cana-2668	145	1	the	the	DET
cana-2668	145	2	dataset	dataset	NOUN
cana-2668	145	3	is	be	AUX
cana-2668	145	4	being	be	AUX
cana-2668	145	5	partitioned	partition	VERB
cana-2668	145	6	into	into	ADP
cana-2668	145	7	independent	independent	ADJ
cana-2668	145	8	and	and	CCONJ
cana-2668	145	9	dependent	dependent	ADJ
cana-2668	145	10	attributes	attribute	NOUN
cana-2668	145	11	.	.	PUNCT
cana-2668	146	1	the	the	DET
cana-2668	146	2	independent	independent	ADJ
cana-2668	146	3	features	feature	NOUN
cana-2668	146	4	x	x	PUNCT
cana-2668	146	5	in	in	ADP
cana-2668	146	6	our	our	PRON
cana-2668	146	7	dataset	dataset	NOUN
cana-2668	146	8	constitute	constitute	VERB
cana-2668	146	9	the	the	DET
cana-2668	146	10	attributes	attribute	NOUN
cana-2668	146	11	'	'	PUNCT
cana-2668	146	12	hostel	hostel	NOUN
cana-2668	146	13	,	,	PUNCT
cana-2668	146	14	'	'	PUNCT
cana-2668	146	15	'	'	NUM
cana-2668	146	16	10th%	10th%	NUM
cana-2668	146	17	,	,	PUNCT
cana-2668	146	18	'	'	PUNCT
cana-2668	146	19	'	'	NUM
cana-2668	146	20	12th%	12th%	NUM
cana-2668	146	21	,	,	PUNCT
cana-2668	146	22	'	'	PUNCT
cana-2668	146	23	'	'	PUNCT
cana-2668	146	24	zodiac	zodiac	NOUN
cana-2668	146	25	,	,	PUNCT
cana-2668	146	26	'	'	PUNCT
cana-2668	146	27	'	'	PUNCT
cana-2668	146	28	gender	gender	NOUN
cana-2668	146	29	,	,	PUNCT
cana-2668	146	30	'	'	PUNCT
cana-2668	146	31	'	'	PUNCT
cana-2668	146	32	cat	cat	NOUN
cana-2668	146	33	,	,	PUNCT
cana-2668	146	34	'	'	PUNCT
cana-2668	146	35	'	'	PUNCT
cana-2668	146	36	fi	fi	NOUN
cana-2668	146	37	,	,	PUNCT
cana-2668	146	38	'	'	PUNCT
cana-2668	146	39	'	'	PUNCT
cana-2668	146	40	city	city	NOUN
cana-2668	146	41	,	,	PUNCT
cana-2668	146	42	'	'	PUNCT
cana-2668	146	43	'	'	PUNCT
cana-2668	146	44	loc	loc	NOUN
cana-2668	146	45	,	,	PUNCT
cana-2668	146	46	'	'	PUNCT
cana-2668	146	47	'	'	PUNCT
cana-2668	146	48	phone	phone	NOUN
cana-2668	146	49	,	,	PUNCT
cana-2668	146	50	'	'	PUNCT
cana-2668	146	51	and	and	CCONJ
cana-2668	146	52	'	'	PUNCT
cana-2668	146	53	pqt	pqt	INTJ
cana-2668	146	54	.	.	PUNCT
cana-2668	146	55	'	'	PUNCT
cana-2668	147	1	the	the	DET
cana-2668	147	2	dependent	dependent	ADJ
cana-2668	147	3	attribute	attribute	NOUN
cana-2668	147	4	in	in	ADP
cana-2668	147	5	our	our	PRON
cana-2668	147	6	dataset	dataset	NOUN
cana-2668	147	7	is	be	AUX
cana-2668	147	8	"	"	PUNCT
cana-2668	147	9	branch	branch	NOUN
cana-2668	147	10	"	"	PUNCT
cana-2668	147	11	:	:	PUNCT
cana-2668	147	12	the	the	DET
cana-2668	147	13	target	target	NOUN
cana-2668	147	14	variable	variable	NOUN
cana-2668	147	15	denoted	denote	VERB
cana-2668	147	16	by	by	ADP
cana-2668	147	17	y	y	PROPN
cana-2668	147	18	,	,	PUNCT
cana-2668	147	19	which	which	PRON
cana-2668	147	20	requires	require	VERB
cana-2668	147	21	prediction	prediction	NOUN
cana-2668	147	22	.	.	PUNCT
cana-2668	148	1	the	the	DET
cana-2668	148	2	dataset	dataset	NOUN
cana-2668	148	3	was	be	AUX
cana-2668	148	4	then	then	ADV
cana-2668	148	5	separated	separate	VERB
cana-2668	148	6	into	into	ADP
cana-2668	148	7	x_train	x_train	PROPN
cana-2668	148	8	,	,	PUNCT
cana-2668	148	9	x_test	x_test	NUM
cana-2668	148	10	,	,	PUNCT
cana-2668	148	11	y_train	y_train	X
cana-2668	148	12	,	,	PUNCT
cana-2668	148	13	and	and	CCONJ
cana-2668	148	14	y_test	y_t	ADJ
cana-2668	148	15	sets	set	NOUN
cana-2668	148	16	in	in	ADP
cana-2668	148	17	an	an	DET
cana-2668	148	18	80:20	80:20	NUM
cana-2668	148	19	proportion	proportion	NOUN
cana-2668	148	20	;	;	PUNCT
cana-2668	148	21	the	the	DET
cana-2668	148	22	ratio	ratio	NOUN
cana-2668	148	23	was	be	AUX
cana-2668	148	24	chosen	choose	VERB
cana-2668	148	25	after	after	ADP
cana-2668	148	26	evaluating	evaluate	VERB
cana-2668	148	27	different	different	ADJ
cana-2668	148	28	proportions	proportion	NOUN
cana-2668	148	29	.	.	PUNCT
cana-2668	149	1	4.3training	4.3traine	VERB
cana-2668	149	2	of	of	ADP
cana-2668	149	3	rr	rr	PROPN
cana-2668	149	4	model	model	NOUN
cana-2668	149	5	each	each	DET
cana-2668	149	6	ml	ml	PROPN
cana-2668	149	7	model	model	NOUN
cana-2668	149	8	needs	need	VERB
cana-2668	149	9	a	a	DET
cana-2668	149	10	thorough	thorough	ADJ
cana-2668	149	11	training	training	NOUN
cana-2668	149	12	process	process	NOUN
cana-2668	149	13	using	use	VERB
cana-2668	149	14	the	the	DET
cana-2668	149	15	training	training	NOUN
cana-2668	149	16	dataset	dataset	VERB
cana-2668	149	17	to	to	PART
cana-2668	149	18	create	create	VERB
cana-2668	149	19	accurate	accurate	ADJ
cana-2668	149	20	predictions	prediction	NOUN
cana-2668	149	21	,	,	PUNCT
cana-2668	149	22	as	as	SCONJ
cana-2668	149	23	the	the	DET
cana-2668	149	24	model	model	NOUN
cana-2668	149	25	must	must	AUX
cana-2668	149	26	first	first	ADV
cana-2668	149	27	understand	understand	VERB
cana-2668	149	28	the	the	DET
cana-2668	149	29	intricate	intricate	ADJ
cana-2668	149	30	relationships	relationship	NOUN
cana-2668	149	31	,	,	PUNCT
cana-2668	149	32	patterns	pattern	NOUN
cana-2668	149	33	,	,	PUNCT
cana-2668	149	34	and	and	CCONJ
cana-2668	149	35	other	other	ADJ
cana-2668	149	36	features	feature	NOUN
cana-2668	149	37	included	include	VERB
cana-2668	149	38	in	in	ADP
cana-2668	149	39	the	the	DET
cana-2668	149	40	data	datum	NOUN
cana-2668	149	41	.	.	PUNCT
cana-2668	150	1	the	the	DET
cana-2668	150	2	objective	objective	ADJ
cana-2668	150	3	attribute	attribute	NOUN
cana-2668	150	4	to	to	PART
cana-2668	150	5	be	be	AUX
cana-2668	150	6	predicted	predict	VERB
cana-2668	150	7	(	(	PUNCT
cana-2668	150	8	'	'	PUNCT
cana-2668	150	9	branch	branch	NOUN
cana-2668	150	10	'	'	PUNCT
cana-2668	150	11	)	)	PUNCT
cana-2668	150	12	,	,	PUNCT
cana-2668	150	13	data	datum	NOUN
cana-2668	150	14	transformation	transformation	NOUN
cana-2668	150	15	instructions	instruction	NOUN
cana-2668	150	16	,	,	PUNCT
cana-2668	150	17	training	training	NOUN
cana-2668	150	18	parameters	parameter	NOUN
cana-2668	150	19	to	to	PART
cana-2668	150	20	regulate	regulate	VERB
cana-2668	150	21	the	the	DET
cana-2668	150	22	learning	learning	NOUN
cana-2668	150	23	process	process	NOUN
cana-2668	150	24	,	,	PUNCT
cana-2668	150	25	and	and	CCONJ
cana-2668	150	26	the	the	DET
cana-2668	150	27	input	input	NOUN
cana-2668	150	28	training	training	NOUN
cana-2668	150	29	data	datum	NOUN
cana-2668	150	30	source	source	NOUN
cana-2668	150	31	(	(	PUNCT
cana-2668	150	32	x_train	x_train	X
cana-2668	150	33	and	and	CCONJ
cana-2668	150	34	y_train	y_train	X
cana-2668	150	35	)	)	PUNCT
cana-2668	150	36	were	be	AUX
cana-2668	150	37	all	all	PRON
cana-2668	150	38	specified	specify	VERB
cana-2668	150	39	throughout	throughout	ADP
cana-2668	150	40	the	the	DET
cana-2668	150	41	model	model	NOUN
cana-2668	150	42	's	's	PART
cana-2668	150	43	training	training	NOUN
cana-2668	150	44	.	.	PUNCT
cana-2668	151	1	different	different	ADJ
cana-2668	151	2	independent	independent	ADJ
cana-2668	151	3	characteristics	characteristic	NOUN
cana-2668	151	4	and	and	CCONJ
cana-2668	151	5	train	train	NOUN
cana-2668	151	6	-	-	PUNCT
cana-2668	151	7	test	test	NOUN
cana-2668	151	8	split	split	NOUN
cana-2668	151	9	ratios	ratio	NOUN
cana-2668	151	10	were	be	AUX
cana-2668	151	11	used	use	VERB
cana-2668	151	12	to	to	PART
cana-2668	151	13	train	train	VERB
cana-2668	151	14	the	the	DET
cana-2668	151	15	rr	rr	PROPN
cana-2668	151	16	model	model	NOUN
cana-2668	151	17	.	.	PUNCT
cana-2668	152	1	final	final	ADJ
cana-2668	152	2	training	training	NOUN
cana-2668	152	3	utilized	utilize	VERB
cana-2668	152	4	the	the	DET
cana-2668	152	5	following	following	ADJ
cana-2668	152	6	independent	independent	ADJ
cana-2668	152	7	attributes	attribute	NOUN
cana-2668	152	8	:	:	PUNCT
cana-2668	152	9	'	'	PUNCT
cana-2668	152	10	zodiac	zodiac	NOUN
cana-2668	152	11	,	,	PUNCT
cana-2668	152	12	'	'	PUNCT
cana-2668	152	13	'	'	PUNCT
cana-2668	152	14	gender	gender	NOUN
cana-2668	152	15	,	,	PUNCT
cana-2668	152	16	'	'	PUNCT
cana-2668	152	17	'	'	PUNCT
cana-2668	152	18	cat	cat	NOUN
cana-2668	152	19	,	,	PUNCT
cana-2668	152	20	'	'	PUNCT
cana-2668	152	21	'	'	PUNCT
cana-2668	152	22	fi	fi	NOUN
cana-2668	152	23	,	,	PUNCT
cana-2668	152	24	'	'	PUNCT
cana-2668	152	25	'	'	PUNCT
cana-2668	152	26	city	city	NOUN
cana-2668	152	27	,	,	PUNCT
cana-2668	152	28	'	'	PUNCT
cana-2668	152	29	'	'	PUNCT
cana-2668	152	30	loc	loc	NOUN
cana-2668	152	31	,	,	PUNCT
cana-2668	152	32	'	'	PUNCT
cana-2668	152	33	'	'	PUNCT
cana-2668	152	34	phone	phone	NOUN
cana-2668	152	35	,	,	PUNCT
cana-2668	152	36	'	'	PUNCT
cana-2668	152	37	'	'	PUNCT
cana-2668	152	38	hostel	hostel	NOUN
cana-2668	152	39	,	,	PUNCT
cana-2668	152	40	'	'	PUNCT
cana-2668	152	41	'	'	NUM
cana-2668	152	42	10th%	10th%	NUM
cana-2668	152	43	,	,	PUNCT
cana-2668	152	44	'	'	PUNCT
cana-2668	152	45	'	'	NUM
cana-2668	152	46	12th%	12th%	NUM
cana-2668	152	47	,	,	PUNCT
cana-2668	152	48	'	'	PUNCT
cana-2668	152	49	and	and	CCONJ
cana-2668	152	50	'	'	PUNCT
cana-2668	152	51	pqt	pqt	INTJ
cana-2668	152	52	.	.	PUNCT
cana-2668	152	53	'	'	PUNCT
cana-2668	153	1	communications	communication	NOUN
cana-2668	153	2	on	on	ADP
cana-2668	153	3	applied	apply	VERB
cana-2668	153	4	nonlinear	nonlinear	ADJ
cana-2668	153	5	analysis	analysis	NOUN
cana-2668	153	6	issn	issn	NOUN
cana-2668	153	7	:	:	PUNCT
cana-2668	153	8	1074	1074	NUM
cana-2668	153	9	-	-	PUNCT
cana-2668	153	10	133x	133x	NUM
cana-2668	153	11	vol	vol	NOUN
cana-2668	153	12	32	32	NUM
cana-2668	153	13	no	no	NOUN
cana-2668	153	14	.	.	PUNCT
cana-2668	154	1	3s	3s	NUM
cana-2668	154	2	(	(	PUNCT
cana-2668	154	3	2025	2025	NUM
cana-2668	154	4	)	)	PUNCT
cana-2668	154	5	414	414	NUM
cana-2668	154	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2668	154	7	4.4	4.4	NUM
cana-2668	154	8	testing	test	VERB
cana-2668	154	9	rr	rr	PROPN
cana-2668	154	10	model	model	NOUN
cana-2668	154	11	the	the	DET
cana-2668	154	12	trained	train	VERB
cana-2668	154	13	model	model	NOUN
cana-2668	154	14	is	be	AUX
cana-2668	154	15	to	to	PART
cana-2668	154	16	be	be	AUX
cana-2668	154	17	tested	test	VERB
cana-2668	154	18	with	with	ADP
cana-2668	154	19	a	a	DET
cana-2668	154	20	separate	separate	ADJ
cana-2668	154	21	testing	testing	NOUN
cana-2668	154	22	dataset	dataset	NOUN
cana-2668	154	23	.	.	PUNCT
cana-2668	155	1	its	its	PRON
cana-2668	155	2	efficacy	efficacy	NOUN
cana-2668	155	3	is	be	AUX
cana-2668	155	4	gauged	gauge	VERB
cana-2668	155	5	by	by	ADP
cana-2668	155	6	its	its	PRON
cana-2668	155	7	ability	ability	NOUN
cana-2668	155	8	to	to	PART
cana-2668	155	9	predict	predict	VERB
cana-2668	155	10	students	student	NOUN
cana-2668	155	11	'	'	PART
cana-2668	155	12	academic	academic	ADJ
cana-2668	155	13	stream	stream	NOUN
cana-2668	155	14	accurately	accurately	ADV
cana-2668	155	15	.	.	PUNCT
cana-2668	156	1	this	this	DET
cana-2668	156	2	step	step	NOUN
cana-2668	156	3	serves	serve	VERB
cana-2668	156	4	as	as	ADP
cana-2668	156	5	a	a	DET
cana-2668	156	6	crucial	crucial	ADJ
cana-2668	156	7	validation	validation	NOUN
cana-2668	156	8	of	of	ADP
cana-2668	156	9	the	the	DET
cana-2668	156	10	model	model	NOUN
cana-2668	156	11	's	's	PART
cana-2668	156	12	practical	practical	ADJ
cana-2668	156	13	utility	utility	NOUN
cana-2668	156	14	.	.	PUNCT
cana-2668	157	1	the	the	DET
cana-2668	157	2	testing	testing	NOUN
cana-2668	157	3	of	of	ADP
cana-2668	157	4	the	the	DET
cana-2668	157	5	rr	rr	PROPN
cana-2668	157	6	model	model	NOUN
cana-2668	157	7	was	be	AUX
cana-2668	157	8	completed	complete	VERB
cana-2668	157	9	in	in	ADP
cana-2668	157	10	three	three	NUM
cana-2668	157	11	different	different	ADJ
cana-2668	157	12	phases	phase	NOUN
cana-2668	157	13	.	.	PUNCT
cana-2668	158	1	in	in	ADP
cana-2668	158	2	phase	phase	NOUN
cana-2668	158	3	1	1	NUM
cana-2668	158	4	,	,	PUNCT
cana-2668	158	5	predictions	prediction	NOUN
cana-2668	158	6	have	have	AUX
cana-2668	158	7	been	be	AUX
cana-2668	158	8	computed	compute	VERB
cana-2668	158	9	using	use	VERB
cana-2668	158	10	a	a	DET
cana-2668	158	11	provided	provide	VERB
cana-2668	158	12	dataset	dataset	NOUN
cana-2668	158	13	for	for	ADP
cana-2668	158	14	all	all	DET
cana-2668	158	15	four	four	NUM
cana-2668	158	16	multiclass	multiclass	ADJ
cana-2668	158	17	classification	classification	NOUN
cana-2668	158	18	models	model	NOUN
cana-2668	158	19	.	.	PUNCT
cana-2668	159	1	in	in	ADP
cana-2668	159	2	phase	phase	NOUN
cana-2668	159	3	2	2	NUM
cana-2668	159	4	,	,	PUNCT
cana-2668	159	5	predictions	prediction	NOUN
cana-2668	159	6	were	be	AUX
cana-2668	159	7	calculated	calculate	VERB
cana-2668	159	8	with	with	ADP
cana-2668	159	9	the	the	DET
cana-2668	159	10	help	help	NOUN
cana-2668	159	11	of	of	ADP
cana-2668	159	12	oversampled	oversampled	ADJ
cana-2668	159	13	data	datum	NOUN
cana-2668	159	14	,	,	PUNCT
cana-2668	159	15	and	and	CCONJ
cana-2668	159	16	in	in	ADP
cana-2668	159	17	the	the	DET
cana-2668	159	18	final	final	ADJ
cana-2668	159	19	phase	phase	NOUN
cana-2668	159	20	,	,	PUNCT
cana-2668	159	21	stream	stream	NOUN
cana-2668	159	22	prediction	prediction	NOUN
cana-2668	159	23	was	be	AUX
cana-2668	159	24	computed	compute	VERB
cana-2668	159	25	using	use	VERB
cana-2668	159	26	stacking	stack	VERB
cana-2668	159	27	[	[	X
cana-2668	159	28	31	31	NUM
cana-2668	159	29	]	]	PUNCT
cana-2668	159	30	.	.	PUNCT
cana-2668	160	1	table	table	NOUN
cana-2668	160	2	2	2	NUM
cana-2668	160	3	predictions	prediction	NOUN
cana-2668	160	4	using	use	VERB
cana-2668	160	5	the	the	DET
cana-2668	160	6	given	give	VERB
cana-2668	160	7	dataset	dataset	NOUN
cana-2668	160	8	model	model	NOUN
cana-2668	160	9	accuracy	accuracy	NOUN
cana-2668	160	10	recall	recall	PROPN
cana-2668	160	11	precisio	precisio	VERB
cana-2668	160	12	n	n	DET
cana-2668	160	13	f1score	f1score	NOUN
cana-2668	160	14	dt	dt	PROPN
cana-2668	160	15	69	69	NUM
cana-2668	160	16	67	67	NUM
cana-2668	160	17	67	67	NUM
cana-2668	160	18	68	68	NUM
cana-2668	160	19	ovr	ovr	NOUN
cana-2668	160	20	55	55	NUM
cana-2668	160	21	54	54	NUM
cana-2668	160	22	55	55	NUM
cana-2668	160	23	50	50	NUM
cana-2668	160	24	knn	knn	NOUN
cana-2668	160	25	56	56	NUM
cana-2668	160	26	55	55	NUM
cana-2668	160	27	56	56	NUM
cana-2668	160	28	56	56	NUM
cana-2668	160	29	gnb	gnb	NOUN
cana-2668	160	30	68	68	NUM
cana-2668	160	31	68	68	NUM
cana-2668	160	32	67	67	NUM
cana-2668	160	33	68	68	NUM
cana-2668	160	34	figure	figure	NOUN
cana-2668	160	35	5	5	NUM
cana-2668	160	36	.	.	PUNCT
cana-2668	160	37	final	final	ADJ
cana-2668	160	38	dataset	dataset	NOUN
cana-2668	160	39	used	use	VERB
cana-2668	160	40	for	for	ADP
cana-2668	160	41	training	train	VERB
cana-2668	160	42	the	the	DET
cana-2668	160	43	model	model	NOUN
cana-2668	160	44	the	the	DET
cana-2668	160	45	performance	performance	NOUN
cana-2668	160	46	of	of	ADP
cana-2668	160	47	the	the	DET
cana-2668	160	48	model	model	NOUN
cana-2668	160	49	was	be	AUX
cana-2668	160	50	measured	measure	VERB
cana-2668	160	51	on	on	ADP
cana-2668	160	52	four	four	NUM
cana-2668	160	53	key	key	ADJ
cana-2668	160	54	metrics	metric	NOUN
cana-2668	160	55	:	:	PUNCT
cana-2668	160	56	accuracy	accuracy	NOUN
cana-2668	160	57	,	,	PUNCT
cana-2668	160	58	f1	f1	NOUN
cana-2668	160	59	-	-	PUNCT
cana-2668	160	60	score	score	NOUN
cana-2668	160	61	,	,	PUNCT
cana-2668	160	62	recall	recall	NOUN
cana-2668	160	63	,	,	PUNCT
cana-2668	160	64	and	and	CCONJ
cana-2668	160	65	precision	precision	NOUN
cana-2668	160	66	[	[	X
cana-2668	160	67	1]—the	1]—the	DET
cana-2668	160	68	accuracy	accuracy	NOUN
cana-2668	160	69	of	of	ADP
cana-2668	160	70	predicting	predict	VERB
cana-2668	160	71	stream	stream	NOUN
cana-2668	160	72	for	for	ADP
cana-2668	160	73	a	a	DET
cana-2668	160	74	student	student	NOUN
cana-2668	160	75	after	after	SCONJ
cana-2668	160	76	the	the	DET
cana-2668	160	77	final	final	ADJ
cana-2668	160	78	prediction	prediction	NOUN
cana-2668	160	79	was	be	AUX
cana-2668	160	80	found	find	VERB
cana-2668	160	81	to	to	PART
cana-2668	160	82	be	be	AUX
cana-2668	160	83	80	80	NUM
cana-2668	160	84	%	%	NOUN
cana-2668	160	85	.	.	PUNCT
cana-2668	161	1	analysis	analysis	NOUN
cana-2668	161	2	of	of	ADP
cana-2668	161	3	first	first	ADJ
cana-2668	161	4	phase	phase	NOUN
cana-2668	161	5	predictions	prediction	NOUN
cana-2668	161	6	for	for	ADP
cana-2668	161	7	all	all	DET
cana-2668	161	8	classification	classification	NOUN
cana-2668	161	9	models	model	NOUN
cana-2668	161	10	is	be	AUX
cana-2668	161	11	outlined	outline	VERB
cana-2668	161	12	in	in	ADP
cana-2668	161	13	table	table	NOUN
cana-2668	161	14	2	2	NUM
cana-2668	161	15	,	,	PUNCT
cana-2668	161	16	in	in	ADP
cana-2668	161	17	table	table	NOUN
cana-2668	161	18	3	3	NUM
cana-2668	161	19	,	,	PUNCT
cana-2668	161	20	second	second	ADJ
cana-2668	161	21	level	level	NOUN
cana-2668	161	22	predictions	prediction	NOUN
cana-2668	161	23	are	be	AUX
cana-2668	161	24	described	describe	VERB
cana-2668	161	25	3	3	NUM
cana-2668	161	26	,	,	PUNCT
cana-2668	161	27	and	and	CCONJ
cana-2668	161	28	final	final	ADJ
cana-2668	161	29	level	level	NOUN
cana-2668	161	30	prediction	prediction	NOUN
cana-2668	161	31	analysis	analysis	NOUN
cana-2668	161	32	is	be	AUX
cana-2668	161	33	mentioned	mention	VERB
cana-2668	161	34	in	in	ADP
cana-2668	161	35	table	table	NOUN
cana-2668	161	36	4	4	NUM
cana-2668	161	37	.	.	PUNCT
cana-2668	161	38	table	table	NOUN
cana-2668	161	39	3	3	NUM
cana-2668	161	40	predictions	prediction	NOUN
cana-2668	161	41	with	with	ADP
cana-2668	161	42	smote	smote	ADJ
cana-2668	161	43	models	model	NOUN
cana-2668	161	44	testing	test	VERB
cana-2668	161	45	after	after	ADP
cana-2668	161	46	smote	smote	ADJ
cana-2668	161	47	accuracy	accuracy	PROPN
cana-2668	161	48	recall	recall	PROPN
cana-2668	161	49	precision	precision	NOUN
cana-2668	161	50	f1	f1	NOUN
cana-2668	161	51	-	-	PUNCT
cana-2668	161	52	score	score	NOUN
cana-2668	162	1	dt	dt	NOUN
cana-2668	162	2	74	74	NUM
cana-2668	162	3	77	77	NUM
cana-2668	162	4	75	75	NUM
cana-2668	162	5	75	75	NUM
cana-2668	162	6	ovr	ovr	NOUN
cana-2668	162	7	62	62	NUM
cana-2668	162	8	64	64	NUM
cana-2668	162	9	60	60	NUM
cana-2668	162	10	57	57	NUM
cana-2668	162	11	knn	knn	NOUN
cana-2668	163	1	58	58	NUM
cana-2668	163	2	57	57	NUM
cana-2668	163	3	57	57	NUM
cana-2668	163	4	57	57	NUM
cana-2668	163	5	gnb	gnb	NOUN
cana-2668	163	6	71	71	NUM
cana-2668	163	7	71	71	NUM
cana-2668	163	8	71	71	NUM
cana-2668	163	9	71	71	NUM
cana-2668	163	10	5	5	NUM
cana-2668	163	11	.	.	PUNCT
cana-2668	163	12	results	result	NOUN
cana-2668	163	13	and	and	CCONJ
cana-2668	163	14	discussion	discussion	NOUN
cana-2668	163	15	in	in	ADP
cana-2668	163	16	the	the	DET
cana-2668	163	17	first	first	ADJ
cana-2668	163	18	phase	phase	NOUN
cana-2668	163	19	,	,	PUNCT
cana-2668	163	20	the	the	DET
cana-2668	163	21	observation	observation	NOUN
cana-2668	163	22	revealed	reveal	VERB
cana-2668	163	23	that	that	SCONJ
cana-2668	163	24	dt	dt	PROPN
cana-2668	163	25	,	,	PUNCT
cana-2668	163	26	ovr	ovr	PROPN
cana-2668	163	27	,	,	PUNCT
cana-2668	163	28	knn	knn	PROPN
cana-2668	163	29	,	,	PUNCT
cana-2668	163	30	and	and	CCONJ
cana-2668	163	31	gnb	gnb	PROPN
cana-2668	163	32	accuracy	accuracy	NOUN
cana-2668	163	33	levels	level	NOUN
cana-2668	163	34	were	be	AUX
cana-2668	163	35	69	69	NUM
cana-2668	163	36	%	%	NOUN
cana-2668	163	37	,	,	PUNCT
cana-2668	163	38	55	55	NUM
cana-2668	163	39	%	%	NOUN
cana-2668	163	40	,	,	PUNCT
cana-2668	163	41	56	56	NUM
cana-2668	163	42	%	%	NOUN
cana-2668	163	43	,	,	PUNCT
cana-2668	163	44	and	and	CCONJ
cana-2668	163	45	68	68	NUM
cana-2668	163	46	%	%	NOUN
cana-2668	163	47	.	.	PUNCT
cana-2668	164	1	recall	recall	NOUN
cana-2668	164	2	,	,	PUNCT
cana-2668	164	3	precision	precision	NOUN
cana-2668	164	4	,	,	PUNCT
cana-2668	164	5	and	and	CCONJ
cana-2668	164	6	f1	f1	ADJ
cana-2668	164	7	-	-	PUNCT
cana-2668	164	8	score	score	NOUN
cana-2668	164	9	values	value	NOUN
cana-2668	164	10	across	across	ADP
cana-2668	164	11	all	all	DET
cana-2668	164	12	models	model	NOUN
cana-2668	164	13	remained	remain	VERB
cana-2668	164	14	consistently	consistently	ADV
cana-2668	164	15	robust	robust	ADJ
cana-2668	164	16	under	under	ADP
cana-2668	164	17	various	various	ADJ
cana-2668	164	18	sampling	sampling	NOUN
cana-2668	164	19	criteria	criterion	NOUN
cana-2668	164	20	.	.	PUNCT
cana-2668	165	1	skewness	skewness	NOUN
cana-2668	166	1	[	[	X
cana-2668	166	2	32	32	NUM
cana-2668	166	3	]	]	PUNCT
cana-2668	166	4	was	be	AUX
cana-2668	166	5	visible	visible	ADJ
cana-2668	166	6	because	because	SCONJ
cana-2668	166	7	of	of	ADP
cana-2668	166	8	the	the	DET
cana-2668	166	9	different	different	ADJ
cana-2668	166	10	counts	count	NOUN
cana-2668	166	11	in	in	ADP
cana-2668	166	12	the	the	DET
cana-2668	166	13	bca	bca	PROPN
cana-2668	166	14	,	,	PUNCT
cana-2668	166	15	cse	cse	PROPN
cana-2668	166	16	/	/	SYM
cana-2668	166	17	it	it	PRON
cana-2668	166	18	,	,	PUNCT
cana-2668	166	19	and	and	CCONJ
cana-2668	166	20	me	i	PRON
cana-2668	166	21	/	/	SYM
cana-2668	166	22	ece	ece	PROPN
cana-2668	166	23	branches	branches	PROPN
cana-2668	166	24	.	.	PUNCT
cana-2668	167	1	smote	smote	VERB
cana-2668	167	2	[	[	PUNCT
cana-2668	167	3	33	33	NUM
cana-2668	167	4	-	-	SYM
cana-2668	167	5	34	34	NUM
cana-2668	167	6	]	]	PUNCT
cana-2668	167	7	was	be	AUX
cana-2668	167	8	utilized	utilize	VERB
cana-2668	167	9	at	at	ADP
cana-2668	167	10	second	second	ADJ
cana-2668	167	11	-	-	PUNCT
cana-2668	167	12	level	level	NOUN
cana-2668	167	13	prediction	prediction	NOUN
cana-2668	167	14	to	to	PART
cana-2668	167	15	tackle	tackle	VERB
cana-2668	167	16	this	this	DET
cana-2668	167	17	imbalance	imbalance	NOUN
cana-2668	167	18	in	in	ADP
cana-2668	167	19	the	the	DET
cana-2668	167	20	dataset	dataset	NOUN
cana-2668	167	21	,	,	PUNCT
cana-2668	167	22	which	which	PRON
cana-2668	167	23	is	be	AUX
cana-2668	167	24	well	well	ADV
cana-2668	167	25	known	know	VERB
cana-2668	167	26	for	for	ADP
cana-2668	167	27	managing	manage	VERB
cana-2668	167	28	data	datum	NOUN
cana-2668	167	29	that	that	PRON
cana-2668	167	30	is	be	AUX
cana-2668	167	31	not	not	PART
cana-2668	167	32	in	in	ADP
cana-2668	167	33	balance	balance	NOUN
cana-2668	167	34	.	.	PUNCT
cana-2668	168	1	after	after	ADP
cana-2668	168	2	implementing	implement	VERB
cana-2668	168	3	smote	smite	VERB
cana-2668	168	4	,	,	PUNCT
cana-2668	168	5	new	new	ADJ
cana-2668	168	6	data	datum	NOUN
cana-2668	168	7	belonging	belong	VERB
cana-2668	168	8	to	to	ADP
cana-2668	168	9	the	the	DET
cana-2668	168	10	minority	minority	NOUN
cana-2668	168	11	class	class	NOUN
cana-2668	168	12	was	be	AUX
cana-2668	168	13	introduced	introduce	VERB
cana-2668	168	14	.	.	PUNCT
cana-2668	169	1	the	the	DET
cana-2668	169	2	model	model	NOUN
cana-2668	169	3	underwent	undergo	VERB
cana-2668	169	4	thorough	thorough	ADJ
cana-2668	169	5	testing	testing	NOUN
cana-2668	169	6	on	on	ADP
cana-2668	169	7	the	the	DET
cana-2668	169	8	same	same	ADJ
cana-2668	169	9	dataset	dataset	NOUN
cana-2668	169	10	with	with	ADP
cana-2668	169	11	various	various	ADJ
cana-2668	169	12	oversampling	oversampling	ADJ
cana-2668	169	13	techniques	technique	NOUN
cana-2668	169	14	[	[	X
cana-2668	169	15	35–41	35–41	NUM
cana-2668	169	16	]	]	PUNCT
cana-2668	169	17	,	,	PUNCT
cana-2668	169	18	like	like	ADP
cana-2668	169	19	communications	communication	NOUN
cana-2668	169	20	on	on	ADP
cana-2668	169	21	applied	apply	VERB
cana-2668	169	22	nonlinear	nonlinear	ADJ
cana-2668	169	23	analysis	analysis	NOUN
cana-2668	169	24	issn	issn	NOUN
cana-2668	169	25	:	:	PUNCT
cana-2668	169	26	1074	1074	NUM
cana-2668	169	27	-	-	PUNCT
cana-2668	169	28	133x	133x	NUM
cana-2668	169	29	vol	vol	NOUN
cana-2668	169	30	32	32	NUM
cana-2668	170	1	no	no	NOUN
cana-2668	170	2	.	.	PUNCT
cana-2668	171	1	3s	3s	NUM
cana-2668	171	2	(	(	PUNCT
cana-2668	171	3	2025	2025	NUM
cana-2668	171	4	)	)	PUNCT
cana-2668	171	5	415	415	NUM
cana-2668	171	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2668	171	7	random	random	ADJ
cana-2668	171	8	under	under	ADP
cana-2668	171	9	sampler	sampler	NOUN
cana-2668	171	10	[	[	X
cana-2668	171	11	35	35	NUM
cana-2668	171	12	]	]	PUNCT
cana-2668	171	13	,	,	PUNCT
cana-2668	171	14	borderline	borderline	NOUN
cana-2668	171	15	smote	smote	NOUN
cana-2668	171	16	[	[	X
cana-2668	171	17	36	36	NUM
cana-2668	171	18	]	]	PUNCT
cana-2668	171	19	,	,	PUNCT
cana-2668	171	20	svmsmote	svmsmote	X
cana-2668	172	1	[	[	X
cana-2668	172	2	37	37	NUM
cana-2668	172	3	]	]	PUNCT
cana-2668	172	4	and	and	CCONJ
cana-2668	172	5	adasyn	adasyn	NOUN
cana-2668	172	6	[	[	X
cana-2668	172	7	38	38	NUM
cana-2668	172	8	]	]	PUNCT
cana-2668	172	9	.	.	PUNCT
cana-2668	173	1	they	they	PRON
cana-2668	173	2	used	use	VERB
cana-2668	173	3	the	the	DET
cana-2668	173	4	newly	newly	ADV
cana-2668	173	5	smote	smote	ADJ
cana-2668	173	6	-	-	PUNCT
cana-2668	173	7	enhanced	enhance	VERB
cana-2668	173	8	data	datum	NOUN
cana-2668	173	9	to	to	PART
cana-2668	173	10	get	get	VERB
cana-2668	173	11	second	second	ADJ
cana-2668	173	12	-	-	PUNCT
cana-2668	173	13	level	level	NOUN
cana-2668	173	14	predictions	prediction	NOUN
cana-2668	173	15	(	(	PUNCT
cana-2668	173	16	table	table	NOUN
cana-2668	173	17	3	3	NUM
cana-2668	173	18	)	)	PUNCT
cana-2668	173	19	.	.	PUNCT
cana-2668	174	1	following	follow	VERB
cana-2668	174	2	the	the	DET
cana-2668	174	3	application	application	NOUN
cana-2668	174	4	of	of	ADP
cana-2668	174	5	smote	smote	ADJ
cana-2668	174	6	,	,	PUNCT
cana-2668	174	7	noticeable	noticeable	ADJ
cana-2668	174	8	enhancements	enhancement	NOUN
cana-2668	174	9	were	be	AUX
cana-2668	174	10	observed	observe	VERB
cana-2668	174	11	in	in	ADP
cana-2668	174	12	the	the	DET
cana-2668	174	13	performance	performance	NOUN
cana-2668	174	14	of	of	ADP
cana-2668	174	15	each	each	DET
cana-2668	174	16	technique	technique	NOUN
cana-2668	174	17	compared	compare	VERB
cana-2668	174	18	to	to	ADP
cana-2668	174	19	scenarios	scenario	NOUN
cana-2668	174	20	without	without	ADP
cana-2668	174	21	smote	smote	NOUN
cana-2668	174	22	.	.	PUNCT
cana-2668	175	1	dt	dt	PUNCT
cana-2668	176	1	and	and	CCONJ
cana-2668	176	2	gnb	gnb	PROPN
cana-2668	176	3	achieved	achieve	VERB
cana-2668	176	4	a	a	DET
cana-2668	176	5	branch	branch	NOUN
cana-2668	176	6	prediction	prediction	NOUN
cana-2668	176	7	accuracy	accuracy	NOUN
cana-2668	176	8	of	of	ADP
cana-2668	176	9	more	more	ADJ
cana-2668	176	10	than	than	ADP
cana-2668	176	11	70	70	NUM
cana-2668	176	12	%	%	NOUN
cana-2668	176	13	.	.	PUNCT
cana-2668	177	1	we	we	PRON
cana-2668	177	2	utilized	utilize	VERB
cana-2668	177	3	the	the	DET
cana-2668	177	4	ensemble	ensemble	ADJ
cana-2668	177	5	machine	machine	NOUN
cana-2668	177	6	learning	learning	NOUN
cana-2668	177	7	technique	technique	NOUN
cana-2668	177	8	in	in	ADP
cana-2668	177	9	the	the	DET
cana-2668	177	10	third	third	ADJ
cana-2668	177	11	phase	phase	NOUN
cana-2668	177	12	to	to	PART
cana-2668	177	13	further	far	ADV
cana-2668	177	14	boost	boost	VERB
cana-2668	177	15	overall	overall	ADJ
cana-2668	177	16	prediction	prediction	NOUN
cana-2668	177	17	accuracy	accuracy	NOUN
cana-2668	177	18	.	.	PUNCT
cana-2668	178	1	we	we	PRON
cana-2668	178	2	selected	select	VERB
cana-2668	178	3	ovr	ovr	NOUN
cana-2668	178	4	as	as	ADP
cana-2668	178	5	the	the	DET
cana-2668	178	6	meta	meta	NOUN
cana-2668	178	7	-	-	PUNCT
cana-2668	178	8	model	model	NOUN
cana-2668	178	9	for	for	ADP
cana-2668	178	10	the	the	DET
cana-2668	178	11	ensemble	ensemble	ADJ
cana-2668	178	12	model	model	NOUN
cana-2668	178	13	,	,	PUNCT
cana-2668	178	14	incorporating	incorporate	VERB
cana-2668	178	15	all	all	PRON
cana-2668	178	16	four	four	NUM
cana-2668	178	17	ml	ml	NOUN
cana-2668	178	18	classification	classification	NOUN
cana-2668	178	19	models	model	NOUN
cana-2668	178	20	as	as	ADP
cana-2668	178	21	base	base	NOUN
cana-2668	178	22	models	model	NOUN
cana-2668	178	23	.	.	PUNCT
cana-2668	179	1	rigorous	rigorous	ADJ
cana-2668	179	2	testing	testing	NOUN
cana-2668	179	3	of	of	ADP
cana-2668	179	4	various	various	ADJ
cana-2668	179	5	environmental	environmental	ADJ
cana-2668	179	6	parameters	parameter	NOUN
cana-2668	179	7	ensued	ensue	VERB
cana-2668	179	8	,	,	PUNCT
cana-2668	179	9	significantly	significantly	ADV
cana-2668	179	10	elevating	elevate	VERB
cana-2668	179	11	prediction	prediction	NOUN
cana-2668	179	12	accuracy	accuracy	NOUN
cana-2668	179	13	within	within	ADP
cana-2668	179	14	our	our	PRON
cana-2668	179	15	design	design	NOUN
cana-2668	179	16	.	.	PUNCT
cana-2668	180	1	the	the	DET
cana-2668	180	2	detailed	detailed	ADJ
cana-2668	180	3	result	result	NOUN
cana-2668	180	4	analysis	analysis	NOUN
cana-2668	180	5	has	have	AUX
cana-2668	180	6	been	be	AUX
cana-2668	180	7	briefed	brief	VERB
cana-2668	180	8	in	in	ADP
cana-2668	180	9	table	table	NOUN
cana-2668	180	10	4	4	NUM
cana-2668	180	11	.	.	PUNCT
cana-2668	180	12	table	table	NOUN
cana-2668	180	13	4	4	NUM
cana-2668	180	14	results	result	VERB
cana-2668	180	15	analysis	analysis	NOUN
cana-2668	180	16	of	of	ADP
cana-2668	180	17	the	the	DET
cana-2668	180	18	stream	stream	NOUN
cana-2668	180	19	prediction	prediction	NOUN
cana-2668	180	20	using	use	VERB
cana-2668	180	21	the	the	DET
cana-2668	180	22	rr	rr	PROPN
cana-2668	180	23	model	model	PROPN
cana-2668	180	24	ensemble	ensemble	PROPN
cana-2668	180	25	model	model	NOUN
cana-2668	180	26	(	(	PUNCT
cana-2668	180	27	stacking	stacking	NOUN
cana-2668	180	28	)	)	PUNCT
cana-2668	180	29	metamodel	metamodel	NOUN
cana-2668	180	30	base	base	NOUN
cana-2668	180	31	models	model	NOUN
cana-2668	180	32	smote	smote	VERB
cana-2668	180	33	accuracy	accuracy	NOUN
cana-2668	180	34	precision	precision	NOUN
cana-2668	180	35	recall	recall	NOUN
cana-2668	180	36	f1score	f1score	PROPN
cana-2668	180	37	rr	rr	PROPN
cana-2668	180	38	model	model	PROPN
cana-2668	180	39	svm	svm	PROPN
cana-2668	180	40	one	one	NUM
cana-2668	180	41	vs.	vs.	ADP
cana-2668	180	42	rest	rest	NOUN
cana-2668	180	43	dt	dt	PROPN
cana-2668	180	44	,	,	PUNCT
cana-2668	180	45	ovr	ovr	PROPN
cana-2668	180	46	,	,	PUNCT
cana-2668	180	47	knn	knn	PROPN
cana-2668	180	48	,	,	PUNCT
cana-2668	180	49	gnb	gnb	PROPN
cana-2668	180	50	borderline	borderline	NOUN
cana-2668	180	51	smote	smite	VERB
cana-2668	180	52	80	80	NUM
cana-2668	180	53	80	80	NUM
cana-2668	180	54	80	80	NUM
cana-2668	180	55	80	80	NUM
cana-2668	180	56	random	random	ADJ
cana-2668	180	57	under	under	ADP
cana-2668	180	58	sampler	sampler	NOUN
cana-2668	180	59	76	76	NUM
cana-2668	180	60	75	75	NUM
cana-2668	180	61	76	76	NUM
cana-2668	180	62	76	76	NUM
cana-2668	180	63	svmsmote	svmsmote	NOUN
cana-2668	180	64	79	79	NUM
cana-2668	180	65	79	79	NUM
cana-2668	180	66	79	79	NUM
cana-2668	180	67	79	79	NUM
cana-2668	180	68	smote	smite	VERB
cana-2668	180	69	76	76	NUM
cana-2668	180	70	75	75	NUM
cana-2668	180	71	75	75	NUM
cana-2668	180	72	75	75	NUM
cana-2668	180	73	m2	m2	PROPN
cana-2668	180	74	decision	decision	NOUN
cana-2668	180	75	tree	tree	NOUN
cana-2668	180	76	dt	dt	PROPN
cana-2668	180	77	,	,	PUNCT
cana-2668	180	78	ovr	ovr	PROPN
cana-2668	180	79	,	,	PUNCT
cana-2668	180	80	knn	knn	PROPN
cana-2668	180	81	,	,	PUNCT
cana-2668	180	82	gnb	gnb	PROPN
cana-2668	180	83	borderline	borderline	NOUN
cana-2668	180	84	smote	smite	VERB
cana-2668	180	85	76	76	NUM
cana-2668	180	86	78	78	NUM
cana-2668	180	87	76	76	NUM
cana-2668	180	88	75	75	NUM
cana-2668	180	89	random	random	ADJ
cana-2668	180	90	under	under	ADP
cana-2668	180	91	sampler	sampler	NOUN
cana-2668	180	92	71	71	NUM
cana-2668	180	93	71	71	NUM
cana-2668	180	94	71	71	NUM
cana-2668	180	95	71	71	NUM
cana-2668	180	96	svmsmote	svmsmote	NOUN
cana-2668	180	97	77	77	NUM
cana-2668	180	98	78	78	NUM
cana-2668	180	99	77	77	NUM
cana-2668	180	100	77	77	NUM
cana-2668	180	101	smote	smite	VERB
cana-2668	180	102	76	76	NUM
cana-2668	180	103	75	75	NUM
cana-2668	180	104	75	75	NUM
cana-2668	180	105	75	75	NUM
cana-2668	180	106	m3	m3	PROPN
cana-2668	180	107	k	k	ADV
cana-2668	180	108	-	-	PUNCT
cana-2668	180	109	nearest	near	ADJ
cana-2668	180	110	neighbors	neighbor	NOUN
cana-2668	180	111	dt	dt	PROPN
cana-2668	180	112	,	,	PUNCT
cana-2668	180	113	ovr	ovr	PROPN
cana-2668	180	114	,	,	PUNCT
cana-2668	180	115	knn	knn	PROPN
cana-2668	180	116	,	,	PUNCT
cana-2668	180	117	gnb	gnb	PROPN
cana-2668	180	118	borderline	borderline	NOUN
cana-2668	180	119	smote	smite	VERB
cana-2668	180	120	78	78	NUM
cana-2668	180	121	78	78	NUM
cana-2668	180	122	78	78	NUM
cana-2668	180	123	78	78	NUM
cana-2668	180	124	random	random	ADJ
cana-2668	180	125	under	under	ADP
cana-2668	180	126	sampler	sampler	NOUN
cana-2668	180	127	72	72	NUM
cana-2668	180	128	72	72	NUM
cana-2668	180	129	72	72	NUM
cana-2668	180	130	72	72	NUM
cana-2668	180	131	svmsmote	svmsmote	NOUN
cana-2668	180	132	76	76	NUM
cana-2668	180	133	77	77	NUM
cana-2668	180	134	77	77	NUM
cana-2668	180	135	77	77	NUM
cana-2668	180	136	smote	smite	VERB
cana-2668	180	137	77	77	NUM
cana-2668	181	1	79	79	NUM
cana-2668	181	2	79	79	NUM
cana-2668	181	3	79	79	NUM
cana-2668	181	4	m4	m4	PROPN
cana-2668	181	5	gaussian	gaussian	ADJ
cana-2668	181	6	naïve	naïve	ADJ
cana-2668	181	7	bayes	bayes	PROPN
cana-2668	181	8	dt	dt	PROPN
cana-2668	181	9	,	,	PUNCT
cana-2668	181	10	ovr	ovr	PROPN
cana-2668	181	11	,	,	PUNCT
cana-2668	181	12	knn	knn	PROPN
cana-2668	181	13	,	,	PUNCT
cana-2668	181	14	gnb	gnb	PROPN
cana-2668	181	15	borderline	borderline	NOUN
cana-2668	181	16	smote	smite	VERB
cana-2668	181	17	77	77	NUM
cana-2668	181	18	78	78	NUM
cana-2668	181	19	78	78	NUM
cana-2668	181	20	78	78	NUM
cana-2668	181	21	random	random	ADJ
cana-2668	181	22	under	under	ADP
cana-2668	181	23	sampler	sampler	NOUN
cana-2668	181	24	76	76	NUM
cana-2668	181	25	76	76	NUM
cana-2668	181	26	76	76	NUM
cana-2668	181	27	76	76	NUM
cana-2668	181	28	svmsmote	svmsmote	NOUN
cana-2668	181	29	77	77	NUM
cana-2668	181	30	78	78	NUM
cana-2668	181	31	77	77	NUM
cana-2668	181	32	77	77	NUM
cana-2668	181	33	smote	smite	VERB
cana-2668	181	34	79	79	NUM
cana-2668	181	35	80	80	NUM
cana-2668	181	36	79	79	NUM
cana-2668	181	37	79	79	NUM
cana-2668	181	38	the	the	DET
cana-2668	181	39	highest	high	ADJ
cana-2668	181	40	prediction	prediction	NOUN
cana-2668	181	41	accuracy	accuracy	NOUN
cana-2668	181	42	for	for	ADP
cana-2668	181	43	all	all	DET
cana-2668	181	44	three	three	NUM
cana-2668	181	45	classes	class	NOUN
cana-2668	181	46	reached	reach	VERB
cana-2668	181	47	80	80	NUM
cana-2668	181	48	%	%	NOUN
cana-2668	181	49	.	.	PUNCT
cana-2668	182	1	at	at	ADP
cana-2668	182	2	the	the	DET
cana-2668	182	3	first	first	ADJ
cana-2668	182	4	level	level	NOUN
cana-2668	182	5	of	of	ADP
cana-2668	182	6	stacking	stacking	NOUN
cana-2668	182	7	,	,	PUNCT
cana-2668	182	8	knn	knn	PROPN
cana-2668	182	9	,	,	PUNCT
cana-2668	182	10	nb	nb	PROPN
cana-2668	182	11	,	,	PUNCT
cana-2668	182	12	ovr	ovr	PROPN
cana-2668	182	13	,	,	PUNCT
cana-2668	182	14	and	and	CCONJ
cana-2668	182	15	dt	dt	PROPN
cana-2668	182	16	were	be	AUX
cana-2668	182	17	selected	select	VERB
cana-2668	182	18	as	as	ADP
cana-2668	182	19	base	base	NOUN
cana-2668	182	20	models	model	NOUN
cana-2668	182	21	.	.	PUNCT
cana-2668	183	1	in	in	ADP
cana-2668	183	2	the	the	DET
cana-2668	183	3	optimal	optimal	ADJ
cana-2668	183	4	performance	performance	NOUN
cana-2668	183	5	scenario	scenario	NOUN
cana-2668	183	6	,	,	PUNCT
cana-2668	183	7	the	the	DET
cana-2668	183	8	borderline	borderline	NOUN
cana-2668	183	9	smote	smote	NOUN
cana-2668	183	10	emerged	emerge	VERB
cana-2668	183	11	as	as	ADP
cana-2668	183	12	the	the	DET
cana-2668	183	13	most	most	ADV
cana-2668	183	14	effective	effective	ADJ
cana-2668	183	15	oversampling	oversampling	ADJ
cana-2668	183	16	technique	technique	NOUN
cana-2668	183	17	for	for	ADP
cana-2668	183	18	our	our	PRON
cana-2668	183	19	rr	rr	PROPN
cana-2668	183	20	model	model	NOUN
cana-2668	183	21	.	.	PUNCT
cana-2668	184	1	additionally	additionally	ADV
cana-2668	184	2	,	,	PUNCT
cana-2668	184	3	other	other	ADJ
cana-2668	184	4	smote	smote	ADJ
cana-2668	184	5	techniques	technique	NOUN
cana-2668	184	6	demonstrated	demonstrate	VERB
cana-2668	184	7	superior	superior	ADJ
cana-2668	184	8	performance	performance	NOUN
cana-2668	184	9	in	in	ADP
cana-2668	184	10	our	our	PRON
cana-2668	184	11	model	model	NOUN
cana-2668	184	12	,	,	PUNCT
cana-2668	184	13	achieving	achieve	VERB
cana-2668	184	14	a	a	DET
cana-2668	184	15	remarkable	remarkable	ADJ
cana-2668	184	16	communications	communication	NOUN
cana-2668	184	17	on	on	ADP
cana-2668	184	18	applied	apply	VERB
cana-2668	184	19	nonlinear	nonlinear	ADJ
cana-2668	184	20	analysis	analysis	NOUN
cana-2668	184	21	issn	issn	NOUN
cana-2668	184	22	:	:	PUNCT
cana-2668	184	23	1074	1074	NUM
cana-2668	184	24	-	-	PUNCT
cana-2668	184	25	133x	133x	NUM
cana-2668	184	26	vol	vol	NOUN
cana-2668	184	27	32	32	NUM
cana-2668	184	28	no	no	NOUN
cana-2668	184	29	.	.	PUNCT
cana-2668	185	1	3s	3s	NUM
cana-2668	185	2	(	(	PUNCT
cana-2668	185	3	2025	2025	NUM
cana-2668	185	4	)	)	PUNCT
cana-2668	185	5	416	416	NUM
cana-2668	185	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2668	185	7	accuracy	accuracy	NOUN
cana-2668	185	8	of	of	ADP
cana-2668	185	9	up	up	ADP
cana-2668	185	10	to	to	PART
cana-2668	185	11	80	80	NUM
cana-2668	185	12	%	%	NOUN
cana-2668	185	13	in	in	ADP
cana-2668	185	14	predicting	predict	VERB
cana-2668	185	15	the	the	DET
cana-2668	185	16	branch	branch	NOUN
cana-2668	185	17	of	of	ADP
cana-2668	185	18	a	a	DET
cana-2668	185	19	student	student	NOUN
cana-2668	185	20	.	.	PUNCT
cana-2668	186	1	the	the	DET
cana-2668	186	2	model	model	NOUN
cana-2668	186	3	showcased	showcase	VERB
cana-2668	186	4	excellent	excellent	ADJ
cana-2668	186	5	values	value	NOUN
cana-2668	186	6	for	for	ADP
cana-2668	186	7	precision	precision	NOUN
cana-2668	186	8	,	,	PUNCT
cana-2668	186	9	recall	recall	NOUN
cana-2668	186	10	,	,	PUNCT
cana-2668	186	11	and	and	CCONJ
cana-2668	186	12	f1	f1	NOUN
cana-2668	186	13	-	-	PUNCT
cana-2668	186	14	score	score	NOUN
cana-2668	186	15	.	.	PUNCT
cana-2668	187	1	figure	figure	NOUN
cana-2668	187	2	6	6	NUM
cana-2668	187	3	.	.	PUNCT
cana-2668	188	1	the	the	DET
cana-2668	188	2	prediction	prediction	NOUN
cana-2668	188	3	performance	performance	NOUN
cana-2668	188	4	analysis	analysis	NOUN
cana-2668	188	5	of	of	ADP
cana-2668	188	6	the	the	DET
cana-2668	188	7	rr	rr	PROPN
cana-2668	188	8	model	model	NOUN
cana-2668	188	9	.	.	PUNCT
cana-2668	189	1	evaluations	evaluation	NOUN
cana-2668	189	2	were	be	AUX
cana-2668	189	3	conducted	conduct	VERB
cana-2668	189	4	with	with	ADP
cana-2668	189	5	knn	knn	PROPN
cana-2668	189	6	,	,	PUNCT
cana-2668	189	7	dt	dt	X
cana-2668	189	8	,	,	PUNCT
cana-2668	189	9	and	and	CCONJ
cana-2668	189	10	gnb	gnb	PROPN
cana-2668	189	11	as	as	ADP
cana-2668	189	12	meta	meta	NOUN
cana-2668	189	13	-	-	PUNCT
cana-2668	189	14	models	model	NOUN
cana-2668	189	15	.	.	PUNCT
cana-2668	190	1	the	the	DET
cana-2668	190	2	graphical	graphical	ADJ
cana-2668	190	3	representation	representation	NOUN
cana-2668	190	4	in	in	ADP
cana-2668	190	5	figure	figure	NOUN
cana-2668	190	6	6	6	NUM
cana-2668	190	7	illustrates	illustrate	VERB
cana-2668	190	8	that	that	SCONJ
cana-2668	190	9	across	across	ADP
cana-2668	190	10	all	all	DET
cana-2668	190	11	smote	smote	ADJ
cana-2668	190	12	methods	method	NOUN
cana-2668	190	13	(	(	PUNCT
cana-2668	190	14	random	random	ADJ
cana-2668	190	15	under	under	ADP
cana-2668	190	16	sampler	sampler	NOUN
cana-2668	190	17	,	,	PUNCT
cana-2668	190	18	borderline	borderline	NOUN
cana-2668	190	19	smote	smote	NOUN
cana-2668	190	20	,	,	PUNCT
cana-2668	190	21	svmsmote	svmsmote	ADJ
cana-2668	190	22	,	,	PUNCT
cana-2668	190	23	smote	smote	ADJ
cana-2668	190	24	,	,	PUNCT
cana-2668	190	25	or	or	CCONJ
cana-2668	190	26	adasyn	adasyn	PROPN
cana-2668	190	27	)	)	PUNCT
cana-2668	190	28	,	,	PUNCT
cana-2668	190	29	the	the	DET
cana-2668	190	30	rr	rr	PROPN
cana-2668	190	31	model	model	NOUN
cana-2668	190	32	consistently	consistently	ADV
cana-2668	190	33	outperformed	outperform	VERB
cana-2668	190	34	other	other	ADJ
cana-2668	190	35	ensemble	ensemble	ADJ
cana-2668	190	36	models	model	NOUN
cana-2668	190	37	(	(	PUNCT
cana-2668	190	38	m2	m2	PROPN
cana-2668	190	39	,	,	PUNCT
cana-2668	190	40	m3	m3	PROPN
cana-2668	190	41	,	,	PUNCT
cana-2668	190	42	and	and	CCONJ
cana-2668	190	43	m4	m4	PROPN
cana-2668	190	44	)	)	PUNCT
cana-2668	190	45	.	.	PUNCT
cana-2668	191	1	6	6	X
cana-2668	191	2	.	.	X
cana-2668	191	3	conclusions	conclusion	NOUN
cana-2668	191	4	in	in	ADP
cana-2668	191	5	this	this	DET
cana-2668	191	6	paper	paper	NOUN
cana-2668	191	7	,	,	PUNCT
cana-2668	191	8	we	we	PRON
cana-2668	191	9	have	have	AUX
cana-2668	191	10	used	use	VERB
cana-2668	191	11	our	our	PRON
cana-2668	191	12	predictive	predictive	ADJ
cana-2668	191	13	model	model	NOUN
cana-2668	191	14	to	to	PART
cana-2668	191	15	predict	predict	VERB
cana-2668	191	16	the	the	DET
cana-2668	191	17	stream	stream	NOUN
cana-2668	191	18	/	/	SYM
cana-2668	191	19	branch	branch	NOUN
cana-2668	191	20	of	of	ADP
cana-2668	191	21	a	a	DET
cana-2668	191	22	student	student	NOUN
cana-2668	191	23	seeking	seek	VERB
cana-2668	191	24	admission	admission	NOUN
cana-2668	191	25	to	to	ADP
cana-2668	191	26	a	a	DET
cana-2668	191	27	particular	particular	ADJ
cana-2668	191	28	institution	institution	NOUN
cana-2668	191	29	.	.	PUNCT
cana-2668	192	1	the	the	DET
cana-2668	192	2	model	model	NOUN
cana-2668	192	3	works	work	VERB
cana-2668	192	4	on	on	ADP
cana-2668	192	5	ensemble	ensemble	ADJ
cana-2668	192	6	machine	machine	NOUN
cana-2668	192	7	learning	learn	VERB
cana-2668	192	8	techniques	technique	NOUN
cana-2668	192	9	expressly	expressly	ADV
cana-2668	192	10	,	,	PUNCT
cana-2668	192	11	the	the	DET
cana-2668	192	12	stacking	stacking	NOUN
cana-2668	192	13	of	of	ADP
cana-2668	192	14	ovr	ovr	NOUN
cana-2668	192	15	as	as	ADP
cana-2668	192	16	a	a	DET
cana-2668	192	17	meta	meta	NOUN
cana-2668	192	18	-	-	PUNCT
cana-2668	192	19	model	model	NOUN
cana-2668	192	20	,	,	PUNCT
cana-2668	192	21	dt	dt	PROPN
cana-2668	192	22	,	,	PUNCT
cana-2668	192	23	knn	knn	PROPN
cana-2668	192	24	,	,	PUNCT
cana-2668	192	25	gnb	gnb	PROPN
cana-2668	192	26	,	,	PUNCT
cana-2668	192	27	and	and	CCONJ
cana-2668	192	28	ovr	ovr	VERB
cana-2668	192	29	as	as	ADP
cana-2668	192	30	base	base	NOUN
cana-2668	192	31	models	model	NOUN
cana-2668	192	32	,	,	PUNCT
cana-2668	192	33	and	and	CCONJ
cana-2668	192	34	the	the	DET
cana-2668	192	35	borderline	borderline	NOUN
cana-2668	192	36	smote	smite	VERB
cana-2668	192	37	oversampling	oversample	VERB
cana-2668	192	38	technique	technique	NOUN
cana-2668	192	39	has	have	AUX
cana-2668	192	40	been	be	AUX
cana-2668	192	41	incorporated	incorporate	VERB
cana-2668	192	42	in	in	ADP
cana-2668	192	43	the	the	DET
cana-2668	192	44	model	model	NOUN
cana-2668	192	45	.	.	PUNCT
cana-2668	193	1	our	our	PRON
cana-2668	193	2	model	model	NOUN
cana-2668	193	3	demonstrates	demonstrate	VERB
cana-2668	193	4	an	an	DET
cana-2668	193	5	impressive	impressive	ADJ
cana-2668	193	6	accuracy	accuracy	NOUN
cana-2668	193	7	of	of	ADP
cana-2668	193	8	80	80	NUM
cana-2668	193	9	%	%	NOUN
cana-2668	193	10	in	in	ADP
cana-2668	193	11	predicting	predict	VERB
cana-2668	193	12	students	student	NOUN
cana-2668	193	13	'	'	PART
cana-2668	193	14	stream	stream	NOUN
cana-2668	193	15	at	at	ADP
cana-2668	193	16	the	the	DET
cana-2668	193	17	time	time	NOUN
cana-2668	193	18	of	of	ADP
cana-2668	193	19	admission	admission	NOUN
cana-2668	193	20	to	to	ADP
cana-2668	193	21	an	an	DET
cana-2668	193	22	institution	institution	NOUN
cana-2668	193	23	.	.	PUNCT
cana-2668	194	1	precision	precision	NOUN
cana-2668	194	2	,	,	PUNCT
cana-2668	194	3	recall	recall	NOUN
cana-2668	194	4	,	,	PUNCT
cana-2668	194	5	and	and	CCONJ
cana-2668	194	6	f1	f1	NOUN
cana-2668	194	7	-	-	PUNCT
cana-2668	194	8	score	score	NOUN
cana-2668	194	9	metrics	metric	NOUN
cana-2668	194	10	have	have	AUX
cana-2668	194	11	been	be	AUX
cana-2668	194	12	accurately	accurately	ADV
cana-2668	194	13	calculated	calculate	VERB
cana-2668	194	14	and	and	CCONJ
cana-2668	194	15	exhibit	exhibit	VERB
cana-2668	194	16	a	a	DET
cana-2668	194	17	commendable	commendable	ADJ
cana-2668	194	18	performance	performance	NOUN
cana-2668	194	19	.	.	PUNCT
cana-2668	195	1	compared	compare	VERB
cana-2668	195	2	to	to	ADP
cana-2668	195	3	other	other	ADJ
cana-2668	195	4	smote	smote	ADJ
cana-2668	195	5	variants	variant	NOUN
cana-2668	195	6	,	,	PUNCT
cana-2668	195	7	our	our	PRON
cana-2668	195	8	model	model	NOUN
cana-2668	195	9	stands	stand	VERB
cana-2668	195	10	out	out	ADP
cana-2668	195	11	as	as	ADP
cana-2668	195	12	the	the	DET
cana-2668	195	13	top	top	ADJ
cana-2668	195	14	performer	performer	NOUN
cana-2668	195	15	,	,	PUNCT
cana-2668	195	16	surpassing	surpass	VERB
cana-2668	195	17	existing	exist	VERB
cana-2668	195	18	models	model	NOUN
cana-2668	195	19	described	describe	VERB
cana-2668	195	20	in	in	ADP
cana-2668	195	21	the	the	DET
cana-2668	195	22	literature	literature	NOUN
cana-2668	195	23	.	.	PUNCT
cana-2668	196	1	our	our	PRON
cana-2668	196	2	model	model	NOUN
cana-2668	196	3	will	will	AUX
cana-2668	196	4	serve	serve	VERB
cana-2668	196	5	the	the	DET
cana-2668	196	6	students	student	NOUN
cana-2668	196	7	,	,	PUNCT
cana-2668	196	8	ensuring	ensure	VERB
cana-2668	196	9	their	their	PRON
cana-2668	196	10	academic	academic	ADJ
cana-2668	196	11	success	success	NOUN
cana-2668	196	12	and	and	CCONJ
cana-2668	196	13	successful	successful	ADJ
cana-2668	196	14	tests	test	NOUN
cana-2668	196	15	conducted	conduct	VERB
cana-2668	196	16	in	in	ADP
cana-2668	196	17	the	the	DET
cana-2668	196	18	institution	institution	NOUN
cana-2668	196	19	.	.	PUNCT
cana-2668	197	1	our	our	PRON
cana-2668	197	2	model	model	NOUN
cana-2668	197	3	showcases	showcase	VERB
cana-2668	197	4	a	a	DET
cana-2668	197	5	substantial	substantial	ADJ
cana-2668	197	6	improvement	improvement	NOUN
cana-2668	197	7	in	in	ADP
cana-2668	197	8	the	the	DET
cana-2668	197	9	institution	institution	NOUN
cana-2668	197	10	's	's	PART
cana-2668	197	11	academic	academic	ADJ
cana-2668	197	12	performance	performance	NOUN
cana-2668	197	13	.	.	PUNCT
cana-2668	198	1	our	our	PRON
cana-2668	198	2	model	model	NOUN
cana-2668	198	3	's	's	PART
cana-2668	198	4	applicability	applicability	NOUN
cana-2668	198	5	significantly	significantly	ADV
cana-2668	198	6	extends	extend	VERB
cana-2668	198	7	beyond	beyond	ADP
cana-2668	198	8	educational	educational	ADJ
cana-2668	198	9	contexts	contexts	NOUN
cana-2668	198	10	,	,	PUNCT
cana-2668	198	11	making	make	VERB
cana-2668	198	12	it	it	PRON
cana-2668	198	13	suitable	suitable	ADJ
cana-2668	198	14	for	for	ADP
cana-2668	198	15	other	other	ADJ
cana-2668	198	16	multiclass	multiclass	ADJ
cana-2668	198	17	classification	classification	NOUN
cana-2668	198	18	problems	problem	NOUN
cana-2668	198	19	such	such	ADJ
cana-2668	198	20	as	as	ADP
cana-2668	198	21	fraud	fraud	NOUN
cana-2668	198	22	detection	detection	NOUN
cana-2668	198	23	,	,	PUNCT
cana-2668	198	24	cancer	cancer	NOUN
cana-2668	198	25	detection	detection	NOUN
cana-2668	198	26	,	,	PUNCT
cana-2668	198	27	or	or	CCONJ
cana-2668	198	28	image	image	NOUN
cana-2668	198	29	classification	classification	NOUN
cana-2668	198	30	.	.	PUNCT
cana-2668	199	1	for	for	ADP
cana-2668	199	2	future	future	ADJ
cana-2668	199	3	work	work	NOUN
cana-2668	199	4	,	,	PUNCT
cana-2668	199	5	we	we	PRON
cana-2668	199	6	plan	plan	VERB
cana-2668	199	7	to	to	PART
cana-2668	199	8	leverage	leverage	VERB
cana-2668	199	9	this	this	DET
cana-2668	199	10	model	model	NOUN
cana-2668	199	11	to	to	PART
cana-2668	199	12	test	test	VERB
cana-2668	199	13	at	at	ADP
cana-2668	199	14	other	other	ADJ
cana-2668	199	15	institutions	institution	NOUN
cana-2668	199	16	where	where	SCONJ
cana-2668	199	17	other	other	ADJ
cana-2668	199	18	courses	course	NOUN
cana-2668	199	19	are	be	AUX
cana-2668	199	20	available	available	ADJ
cana-2668	199	21	and	and	CCONJ
cana-2668	199	22	different	different	ADJ
cana-2668	199	23	classes	class	NOUN
cana-2668	199	24	of	of	ADP
cana-2668	199	25	students	student	NOUN
cana-2668	199	26	belong	belong	VERB
cana-2668	199	27	to	to	ADP
cana-2668	199	28	other	other	ADJ
cana-2668	199	29	regions	region	NOUN
cana-2668	199	30	and	and	CCONJ
cana-2668	199	31	cultures	culture	NOUN
cana-2668	199	32	.	.	PUNCT
cana-2668	200	1	we	we	PRON
cana-2668	200	2	aim	aim	VERB
cana-2668	200	3	to	to	PART
cana-2668	200	4	explore	explore	VERB
cana-2668	200	5	more	more	ADV
cana-2668	200	6	sophisticated	sophisticated	ADJ
cana-2668	200	7	ensemble	ensemble	ADJ
cana-2668	200	8	machine	machine	NOUN
cana-2668	200	9	-	-	PUNCT
cana-2668	200	10	learning	learn	VERB
cana-2668	200	11	models	model	NOUN
cana-2668	200	12	to	to	PART
cana-2668	200	13	enhance	enhance	VERB
cana-2668	200	14	prediction	prediction	NOUN
cana-2668	200	15	accuracy	accuracy	NOUN
cana-2668	200	16	at	at	ADP
cana-2668	200	17	the	the	DET
cana-2668	200	18	next	next	ADJ
cana-2668	200	19	level	level	NOUN
cana-2668	200	20	.	.	PUNCT
cana-2668	201	1	we	we	PRON
cana-2668	201	2	conclude	conclude	VERB
cana-2668	201	3	that	that	SCONJ
cana-2668	201	4	the	the	DET
cana-2668	201	5	rr	rr	PROPN
cana-2668	201	6	model	model	NOUN
cana-2668	201	7	offers	offer	VERB
cana-2668	201	8	an	an	DET
cana-2668	201	9	excellent	excellent	ADJ
cana-2668	201	10	service	service	NOUN
cana-2668	201	11	to	to	ADP
cana-2668	201	12	students	student	NOUN
cana-2668	201	13	and	and	CCONJ
cana-2668	201	14	institutions	institution	NOUN
cana-2668	201	15	to	to	PART
cana-2668	201	16	improve	improve	VERB
cana-2668	201	17	a	a	DET
cana-2668	201	18	student	student	NOUN
cana-2668	201	19	's	's	PART
cana-2668	201	20	academic	academic	ADJ
cana-2668	201	21	success	success	NOUN
cana-2668	201	22	.	.	PUNCT
cana-2668	202	1	66	66	NUM
cana-2668	202	2	68	68	NUM
cana-2668	202	3	70	70	NUM
cana-2668	202	4	72	72	NUM
cana-2668	202	5	74	74	NUM
cana-2668	202	6	76	76	NUM
cana-2668	202	7	78	78	NUM
cana-2668	202	8	80	80	NUM
cana-2668	202	9	82	82	NUM
cana-2668	202	10	rr	rr	NOUN
cana-2668	202	11	model	model	NOUN
cana-2668	202	12	m2	m2	PROPN
cana-2668	202	13	m3	m3	PROPN
cana-2668	202	14	m4	m4	PROPN
cana-2668	202	15	prediction	prediction	NOUN
cana-2668	202	16	model	model	NOUN
cana-2668	202	17	performance	performance	NOUN
cana-2668	202	18	accuracy	accuracy	NOUN
cana-2668	202	19	precision	precision	NOUN
cana-2668	202	20	recall	recall	VERB
cana-2668	202	21	f1	f1	NOUN
cana-2668	202	22	-	-	PUNCT
cana-2668	202	23	score	score	NOUN
cana-2668	202	24	communications	communication	NOUN
cana-2668	202	25	on	on	ADP
cana-2668	202	26	applied	apply	VERB
cana-2668	202	27	nonlinear	nonlinear	ADJ
cana-2668	202	28	analysis	analysis	NOUN
cana-2668	202	29	issn	issn	NOUN
cana-2668	202	30	:	:	PUNCT
cana-2668	202	31	1074	1074	NUM
cana-2668	202	32	-	-	PUNCT
cana-2668	202	33	133x	133x	NUM
cana-2668	202	34	vol	vol	NOUN
cana-2668	202	35	32	32	NUM
cana-2668	203	1	no	no	NOUN
cana-2668	203	2	.	.	PUNCT
cana-2668	204	1	3s	3s	NUM
cana-2668	204	2	(	(	PUNCT
cana-2668	204	3	2025	2025	NUM
cana-2668	204	4	)	)	PUNCT
cana-2668	204	5	417	417	NUM
cana-2668	204	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2668	204	7	acknowledgment	acknowledgment	NOUN
cana-2668	204	8	i	i	PRON
cana-2668	204	9	am	be	AUX
cana-2668	204	10	highly	highly	ADV
cana-2668	204	11	thankful	thankful	ADJ
cana-2668	204	12	to	to	ADP
cana-2668	204	13	the	the	DET
cana-2668	204	14	academic	academic	ADJ
cana-2668	204	15	and	and	CCONJ
cana-2668	204	16	administrative	administrative	ADJ
cana-2668	204	17	staff	staff	NOUN
cana-2668	204	18	of	of	ADP
cana-2668	204	19	the	the	DET
cana-2668	204	20	panipat	panipat	PROPN
cana-2668	204	21	institute	institute	PROPN
cana-2668	204	22	of	of	ADP
cana-2668	204	23	engineering	engineering	NOUN
cana-2668	204	24	and	and	CCONJ
cana-2668	204	25	technology	technology	NOUN
cana-2668	204	26	for	for	ADP
cana-2668	204	27	providing	provide	VERB
cana-2668	204	28	each	each	DET
cana-2668	204	29	kind	kind	NOUN
cana-2668	204	30	of	of	ADP
cana-2668	204	31	support	support	NOUN
cana-2668	204	32	.	.	PUNCT
cana-2668	205	1	i	i	PRON
cana-2668	205	2	thank	thank	VERB
cana-2668	205	3	the	the	DET
cana-2668	205	4	faculty	faculty	NOUN
cana-2668	205	5	of	of	ADP
cana-2668	205	6	mm	mm	PROPN
cana-2668	205	7	institute	institute	PROPN
cana-2668	205	8	of	of	ADP
cana-2668	205	9	computer	computer	PROPN
cana-2668	205	10	technology	technology	PROPN
cana-2668	205	11	&	&	CCONJ
cana-2668	205	12	business	business	PROPN
cana-2668	205	13	management	management	NOUN
cana-2668	205	14	(	(	PUNCT
cana-2668	205	15	mmdu	mmdu	PROPN
cana-2668	205	16	)	)	PUNCT
cana-2668	205	17	for	for	ADP
cana-2668	205	18	their	their	PRON
cana-2668	205	19	support	support	NOUN
cana-2668	205	20	and	and	CCONJ
cana-2668	205	21	guidance	guidance	NOUN
cana-2668	205	22	.	.	PUNCT
cana-2668	206	1	conflict	conflict	NOUN
cana-2668	206	2	of	of	ADP
cana-2668	206	3	interest	interest	NOUN
cana-2668	206	4	i	i	PRON
cana-2668	206	5	declare	declare	VERB
cana-2668	206	6	that	that	SCONJ
cana-2668	206	7	there	there	PRON
cana-2668	206	8	is	be	VERB
cana-2668	206	9	no	no	DET
cana-2668	206	10	conflict	conflict	NOUN
cana-2668	206	11	of	of	ADP
cana-2668	206	12	interest	interest	NOUN
cana-2668	206	13	regarding	regard	VERB
cana-2668	206	14	the	the	DET
cana-2668	206	15	publication	publication	NOUN
cana-2668	206	16	of	of	ADP
cana-2668	206	17	this	this	DET
cana-2668	206	18	article	article	NOUN
cana-2668	206	19	.	.	PUNCT
cana-2668	207	1	references	reference	NOUN
cana-2668	207	2	[	[	X
cana-2668	207	3	1	1	NUM
cana-2668	207	4	]	]	X
cana-2668	207	5	saluja	saluja	PROPN
cana-2668	207	6	r.	r.	PROPN
cana-2668	207	7	,	,	PUNCT
cana-2668	207	8	rai	rai	PROPN
cana-2668	207	9	m.	m.	PROPN
cana-2668	207	10	,	,	PUNCT
cana-2668	207	11	saluja	saluja	PROPN
cana-2668	207	12	r.	r.	PROPN
cana-2668	207	13	designing	design	VERB
cana-2668	207	14	new	new	ADJ
cana-2668	207	15	student	student	NOUN
cana-2668	207	16	performance	performance	NOUN
cana-2668	207	17	prediction	prediction	NOUN
cana-2668	207	18	model	model	NOUN
cana-2668	207	19	using	use	VERB
cana-2668	207	20	ensemble	ensemble	ADJ
cana-2668	207	21	machine	machine	NOUN
cana-2668	207	22	learning	learning	NOUN
cana-2668	207	23	(	(	PUNCT
cana-2668	207	24	2023	2023	NUM
cana-2668	207	25	)	)	PUNCT
cana-2668	207	26	journal	journal	NOUN
cana-2668	207	27	of	of	ADP
cana-2668	207	28	autonomous	autonomous	ADJ
cana-2668	207	29	intelligence	intelligence	NOUN
cana-2668	207	30	,	,	PUNCT
cana-2668	207	31	6	6	NUM
cana-2668	207	32	(	(	PUNCT
cana-2668	207	33	1	1	NUM
cana-2668	207	34	)	)	PUNCT
cana-2668	207	35	,	,	PUNCT
cana-2668	208	1	pp	pp	ADP
cana-2668	208	2	.	.	PUNCT
cana-2668	209	1	1	1	NUM
cana-2668	209	2	12	12	NUM
cana-2668	209	3	.	.	PUNCT
cana-2668	210	1	doi	doi	NOUN
cana-2668	210	2	:	:	PUNCT
cana-2668	210	3	https://doi.org/10.32629/jai.v6i1.583	https://doi.org/10.32629/jai.v6i1.583	NOUN
cana-2668	210	4	[	[	X
cana-2668	210	5	2	2	NUM
cana-2668	210	6	]	]	X
cana-2668	210	7	ünal	ünal	PROPN
cana-2668	210	8	f.	f.	PROPN
cana-2668	210	9	data	data	PROPN
cana-2668	210	10	mining	mining	NOUN
cana-2668	210	11	for	for	ADP
cana-2668	210	12	student	student	NOUN
cana-2668	210	13	performance	performance	NOUN
cana-2668	210	14	prediction	prediction	NOUN
cana-2668	210	15	in	in	ADP
cana-2668	210	16	education	education	NOUN
cana-2668	210	17	.	.	PUNCT
cana-2668	211	1	in	in	ADP
cana-2668	211	2	:	:	PUNCT
cana-2668	211	3	birant	birant	ADJ
cana-2668	211	4	d	d	PROPN
cana-2668	211	5	(	(	PUNCT
cana-2668	211	6	editor	editor	NOUN
cana-2668	211	7	)	)	PUNCT
cana-2668	211	8	.	.	PUNCT
cana-2668	212	1	data	datum	NOUN
cana-2668	212	2	mining	mining	NOUN
cana-2668	212	3	methods	method	NOUN
cana-2668	212	4	,	,	PUNCT
cana-2668	212	5	applications	application	NOUN
cana-2668	212	6	,	,	PUNCT
cana-2668	212	7	and	and	CCONJ
cana-2668	212	8	systems	system	NOUN
cana-2668	212	9	.	.	PUNCT
cana-2668	213	1	london	london	PROPN
cana-2668	213	2	:	:	PUNCT
cana-2668	213	3	intechopen	intechopen	ADJ
cana-2668	213	4	;	;	PUNCT
cana-2668	213	5	2021	2021	NUM
cana-2668	213	6	.	.	PUNCT
cana-2668	214	1	doi	doi	NOUN
cana-2668	214	2	:	:	PUNCT
cana-2668	214	3	10.5772	10.5772	NUM
cana-2668	214	4	/	/	SYM
cana-2668	214	5	intechopen.91449	intechopen.91449	PROPN
cana-2668	215	1	[	[	X
cana-2668	215	2	3	3	X
cana-2668	215	3	]	]	X
cana-2668	215	4	palacios	palacio	NOUN
cana-2668	215	5	ca	can	AUX
cana-2668	215	6	,	,	PUNCT
cana-2668	215	7	reyes	reyes	PROPN
cana-2668	215	8	-	-	PUNCT
cana-2668	215	9	suárez	suárez	PROPN
cana-2668	215	10	ja	ja	PROPN
cana-2668	215	11	,	,	PUNCT
cana-2668	215	12	bearzotti	bearzotti	PROPN
cana-2668	215	13	la	la	PROPN
cana-2668	215	14	,	,	PUNCT
cana-2668	215	15	et	et	PROPN
cana-2668	215	16	al	al	PROPN
cana-2668	215	17	.	.	PUNCT
cana-2668	215	18	knowledge	knowledge	PROPN
cana-2668	215	19	discovery	discovery	PROPN
cana-2668	215	20	for	for	ADP
cana-2668	215	21	higher	high	ADJ
cana-2668	215	22	education	education	NOUN
cana-2668	215	23	student	student	NOUN
cana-2668	215	24	retention	retention	NOUN
cana-2668	215	25	based	base	VERB
cana-2668	215	26	on	on	ADP
cana-2668	215	27	data	data	NOUN
cana-2668	215	28	mining	mining	NOUN
cana-2668	215	29	:	:	PUNCT
cana-2668	215	30	machine	machine	NOUN
cana-2668	215	31	learning	learn	VERB
cana-2668	215	32	algorithms	algorithm	NOUN
cana-2668	215	33	and	and	CCONJ
cana-2668	215	34	case	case	NOUN
cana-2668	215	35	study	study	NOUN
cana-2668	215	36	in	in	ADP
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cana-2668	216	4	23(4	23(4	NUM
cana-2668	216	5	):	):	PUNCT
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cana-2668	216	7	.	.	PUNCT
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cana-2668	217	5	4	4	X
cana-2668	217	6	]	]	PUNCT
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cana-2668	217	9	,	,	PUNCT
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cana-2668	217	17	using	use	VERB
cana-2668	217	18	data	datum	NOUN
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cana-2668	217	20	.	.	PUNCT
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cana-2668	218	2	:	:	PUNCT
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cana-2668	218	11	(	(	PUNCT
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cana-2668	218	18	;	;	PUNCT
cana-2668	218	19	palembang	palembang	PROPN
cana-2668	218	20	,	,	PUNCT
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cana-2668	218	22	.	.	PUNCT
cana-2668	219	1	new	new	PROPN
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cana-2668	219	3	:	:	PUNCT
cana-2668	219	4	ieee	ieee	NOUN
cana-2668	219	5	;	;	PUNCT
cana-2668	219	6	2019	2019	NUM
cana-2668	219	7	.	.	PUNCT
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cana-2668	220	2	:	:	PUNCT
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cana-2668	220	8	]	]	PUNCT
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cana-2668	220	14	,	,	PUNCT
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cana-2668	220	34	attendance	attendance	NOUN
cana-2668	220	35	.	.	PUNCT
cana-2668	221	1	interactive	interactive	ADJ
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cana-2668	221	3	environments	environment	NOUN
cana-2668	221	4	2020	2020	NUM
cana-2668	221	5	;	;	PUNCT
cana-2668	221	6	28(1	28(1	NOUN
cana-2668	221	7	):	):	PUNCT
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cana-2668	221	9	.	.	PUNCT
cana-2668	222	1	doi	doi	NOUN
cana-2668	222	2	:	:	PUNCT
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cana-2668	222	5	6	6	NUM
cana-2668	222	6	]	]	PUNCT
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cana-2668	222	8	s.	s.	PROPN
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cana-2668	222	35	,	,	PUNCT
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cana-2668	222	37	(	(	PUNCT
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cana-2668	222	40	,	,	PUNCT
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cana-2668	222	42	.	.	PUNCT
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cana-2668	223	3	.	.	PUNCT
cana-2668	223	4	doi	doi	NOUN
cana-2668	223	5	:	:	PUNCT
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cana-2668	223	7	/	/	SYM
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cana-2668	223	9	-	-	PUNCT
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cana-2668	224	1	[	[	X
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cana-2668	225	4	;	;	PUNCT
cana-2668	225	5	9	9	NUM
cana-2668	225	6	:	:	SYM
cana-2668	225	7	95608–95621	95608–95621	NUM
cana-2668	225	8	.	.	PUNCT
cana-2668	226	1	doi	doi	NOUN
cana-2668	226	2	:	:	PUNCT
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cana-2668	226	4	/	/	SYM
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cana-2668	227	6	,	,	PUNCT
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cana-2668	227	21	outcomes	outcome	NOUN
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cana-2668	228	2	:	:	PUNCT
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cana-2668	228	8	(	(	PUNCT
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cana-2668	228	10	)	)	PUNCT
cana-2668	228	11	;	;	PUNCT
cana-2668	228	12	2017	2017	NUM
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cana-2668	228	15	;	;	PUNCT
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cana-2668	228	24	:	:	PUNCT
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cana-2668	229	2	:	:	PUNCT
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cana-2668	229	4	/	/	SYM
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cana-2668	230	23	)	)	PUNCT
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cana-2668	235	2	11	11	NUM
cana-2668	235	3	]	]	PUNCT
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cana-2668	236	11	):	):	PUNCT
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cana-2668	237	2	.	.	PUNCT
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cana-2668	238	2	:	:	PUNCT
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cana-2668	238	28	subject	subject	NOUN
cana-2668	238	29	)	)	PUNCT
cana-2668	238	30	.	.	PUNCT
cana-2668	239	1	recent	recent	ADJ
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cana-2668	239	3	in	in	ADP
cana-2668	239	4	computer	computer	NOUN
cana-2668	239	5	science	science	NOUN
cana-2668	239	6	and	and	CCONJ
cana-2668	239	7	communications	communication	NOUN
cana-2668	239	8	2020	2020	NUM
cana-2668	239	9	;	;	PUNCT
cana-2668	239	10	13(3	13(3	NUM
cana-2668	239	11	):	):	PUNCT
cana-2668	239	12	336–344	336–344	NUM
cana-2668	239	13	.	.	PUNCT
cana-2668	239	14	doi	doi	PROPN
cana-2668	239	15	:	:	PUNCT
cana-2668	240	1	10.2174/2213275912666181128120527	10.2174/2213275912666181128120527	NUM
cana-2668	241	1	[	[	X
cana-2668	241	2	13	13	NUM
cana-2668	241	3	]	]	X
cana-2668	241	4	nti	nti	PROPN
cana-2668	241	5	ik	ik	PROPN
cana-2668	241	6	,	,	PUNCT
cana-2668	241	7	adekoya	adekoya	VERB
cana-2668	241	8	af	af	PROPN
cana-2668	241	9	,	,	PUNCT
cana-2668	241	10	weyori	weyori	PROPN
cana-2668	241	11	ba	ba	PROPN
cana-2668	241	12	.	.	PUNCT
cana-2668	242	1	a	a	DET
cana-2668	242	2	comprehensive	comprehensive	ADJ
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cana-2668	242	4	of	of	ADP
cana-2668	242	5	ensemble	ensemble	ADJ
cana-2668	242	6	learning	learning	NOUN
cana-2668	242	7	for	for	ADP
cana-2668	242	8	stock	stock	NOUN
cana-2668	242	9	-	-	PUNCT
cana-2668	242	10	market	market	NOUN
cana-2668	242	11	prediction	prediction	NOUN
cana-2668	242	12	.	.	PUNCT
cana-2668	243	1	journal	journal	NOUN
cana-2668	243	2	of	of	ADP
cana-2668	243	3	big	big	ADJ
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cana-2668	243	5	2020	2020	NUM
cana-2668	243	6	;	;	PUNCT
cana-2668	243	7	7	7	NUM
cana-2668	243	8	:	:	SYM
cana-2668	243	9	20	20	NUM
cana-2668	243	10	.	.	X
cana-2668	243	11	doi	doi	NOUN
cana-2668	243	12	:	:	PUNCT
cana-2668	243	13	10.1186	10.1186	NUM
cana-2668	243	14	/	/	SYM
cana-2668	243	15	s40537	s40537	NOUN
cana-2668	243	16	-	-	PUNCT
cana-2668	243	17	020	020	NUM
cana-2668	243	18	-	-	PUNCT
cana-2668	243	19	00299	00299	NUM
cana-2668	243	20	-	-	SYM
cana-2668	243	21	5	5	NUM
cana-2668	244	1	[	[	X
cana-2668	244	2	14	14	NUM
cana-2668	244	3	]	]	PUNCT
cana-2668	244	4	xu	xu	PROPN
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cana-2668	245	2	extended	extended	ADJ
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cana-2668	245	4	-	-	PUNCT
cana-2668	245	5	versus	versus	ADP
cana-2668	245	6	-	-	PUNCT
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cana-2668	245	8	support	support	NOUN
cana-2668	245	9	vector	vector	NOUN
cana-2668	245	10	machine	machine	NOUN
cana-2668	245	11	for	for	ADP
cana-2668	245	12	multi	multi	ADJ
cana-2668	245	13	-	-	ADJ
cana-2668	245	14	label	label	ADJ
cana-2668	245	15	classification	classification	NOUN
cana-2668	245	16	.	.	PUNCT
cana-2668	246	1	neurocom	neurocom	NOUN
cana-2668	246	2	-	-	PUNCT
cana-2668	246	3	puting	put	VERB
cana-2668	246	4	2011	2011	NUM
cana-2668	246	5	;	;	PUNCT
cana-2668	246	6	74(17	74(17	NUM
cana-2668	246	7	):	):	PUNCT
cana-2668	246	8	3114–3124	3114–3124	NUM
cana-2668	246	9	.	.	PUNCT
cana-2668	247	1	doi	doi	NOUN
cana-2668	247	2	:	:	PUNCT
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cana-2668	247	4	/	/	SYM
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cana-2668	248	2	15	15	NUM
cana-2668	248	3	]	]	X
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cana-2668	248	5	a	a	PRON
cana-2668	248	6	,	,	PUNCT
cana-2668	248	7	elouedi	elouedi	PROPN
cana-2668	248	8	z	z	PROPN
cana-2668	248	9	,	,	PUNCT
cana-2668	248	10	lefevre	lefevre	PROPN
cana-2668	248	11	e.	e.	PROPN
cana-2668	248	12	decision	decision	PROPN
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cana-2668	248	14	classifiers	classifier	NOUN
cana-2668	248	15	for	for	ADP
cana-2668	248	16	evidential	evidential	ADJ
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cana-2668	248	18	values	value	NOUN
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cana-2668	248	20	class	class	NOUN
cana-2668	248	21	labels	label	NOUN
cana-2668	248	22	.	.	PUNCT
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cana-2668	249	2	sets	set	NOUN
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cana-2668	249	6	;	;	PUNCT
cana-2668	249	7	366	366	NUM
cana-2668	249	8	:	:	PUNCT
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cana-2668	249	10	.	.	PUNCT
cana-2668	250	1	doi	doi	NOUN
cana-2668	250	2	:	:	PUNCT
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cana-2668	250	4	/	/	SYM
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cana-2668	250	11	issn	issn	NOUN
cana-2668	250	12	:	:	PUNCT
cana-2668	250	13	1074	1074	NUM
cana-2668	250	14	-	-	PUNCT
cana-2668	250	15	133x	133x	NUM
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cana-2668	250	17	32	32	NUM
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cana-2668	251	1	3s	3s	NUM
cana-2668	251	2	(	(	PUNCT
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cana-2668	251	4	)	)	PUNCT
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cana-2668	252	3	]	]	X
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cana-2668	252	19	.	.	PUNCT
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cana-2668	253	6	;	;	PUNCT
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cana-2668	253	8	:	:	PUNCT
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cana-2668	253	10	.	.	PUNCT
cana-2668	254	1	doi	doi	NOUN
cana-2668	254	2	:	:	PUNCT
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cana-2668	254	4	/	/	SYM
cana-2668	254	5	s10115	s10115	PROPN
cana-2668	254	6	-	-	PUNCT
cana-2668	254	7	014	014	NUM
cana-2668	254	8	-	-	PUNCT
cana-2668	254	9	0746	0746	NUM
cana-2668	254	10	-	-	PUNCT
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cana-2668	255	2	17	17	NUM
cana-2668	255	3	]	]	PUNCT
cana-2668	255	4	k.	k.	PROPN
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cana-2668	255	29	,	,	PUNCT
cana-2668	255	30	"	"	PUNCT
cana-2668	255	31	2019	2019	NUM
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cana-2668	255	34	on	on	ADP
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cana-2668	255	36	computing	computing	NOUN
cana-2668	255	37	and	and	CCONJ
cana-2668	255	38	control	control	NOUN
cana-2668	255	39	systems	system	NOUN
cana-2668	255	40	(	(	PUNCT
cana-2668	255	41	iccs	iccs	PROPN
cana-2668	255	42	)	)	PUNCT
cana-2668	255	43	,	,	PUNCT
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cana-2668	255	45	,	,	PUNCT
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cana-2668	257	3	]	]	PUNCT
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cana-2668	257	13	;	;	PUNCT
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cana-2668	258	17	;	;	PUNCT
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cana-2668	262	3	]	]	X
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cana-2668	269	14	20	20	NUM
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cana-2668	271	4	charbel	charbel	NOUN
cana-2668	271	5	obeid	obeid	NOUN
cana-2668	271	6	,	,	PUNCT
cana-2668	271	7	christine	christine	PROPN
cana-2668	271	8	lahoud	lahoud	PROPN
cana-2668	271	9	,	,	PUNCT
cana-2668	271	10	hicham	hicham	PROPN
cana-2668	271	11	el	el	PROPN
cana-2668	271	12	khoury	khoury	PROPN
cana-2668	271	13	,	,	PUNCT
cana-2668	271	14	pierre	pierre	PROPN
cana-2668	271	15	-	-	PUNCT
cana-2668	271	16	antoine	antoine	PROPN
cana-2668	271	17	champin	champin	NOUN
cana-2668	271	18	:	:	PUNCT
cana-2668	271	19	a	a	DET
cana-2668	271	20	novel	novel	ADJ
cana-2668	271	21	hybrid	hybrid	NOUN
cana-2668	271	22	recommender	recommender	NOUN
cana-2668	271	23	system	system	NOUN
cana-2668	271	24	approach	approach	NOUN
cana-2668	271	25	for	for	ADP
cana-2668	271	26	student	student	NOUN
cana-2668	271	27	academic	academic	ADJ
cana-2668	271	28	advising	advising	NOUN
cana-2668	271	29	named	name	VERB
cana-2668	271	30	cohrs	cohrs	NOUN
cana-2668	271	31	,	,	PUNCT
cana-2668	271	32	supported	support	VERB
cana-2668	271	33	by	by	ADP
cana-2668	271	34	case	case	NOUN
cana-2668	271	35	-	-	PUNCT
cana-2668	271	36	based	base	VERB
cana-2668	271	37	reasoning	reasoning	NOUN
cana-2668	271	38	and	and	CCONJ
cana-2668	271	39	ontology	ontology	NOUN
cana-2668	271	40	.	.	PUNCT
cana-2668	272	1	comput	comput	NOUN
cana-2668	272	2	.	.	PUNCT
cana-2668	273	1	sci	sci	PROPN
cana-2668	273	2	.	.	PROPN
cana-2668	273	3	inf	inf	PROPN
cana-2668	273	4	.	.	PUNCT
cana-2668	273	5	syst	syst	PROPN
cana-2668	273	6	.	.	PUNCT
cana-2668	274	1	19(2	19(2	NUM
cana-2668	274	2	):	):	PUNCT
cana-2668	274	3	979	979	NUM
cana-2668	274	4	-	-	SYM
cana-2668	274	5	1005	1005	NUM
cana-2668	274	6	(	(	PUNCT
cana-2668	274	7	2022	2022	NUM
cana-2668	274	8	)	)	PUNCT
cana-2668	274	9	doi	doi	NOUN
cana-2668	274	10	:	:	PUNCT
cana-2668	274	11	10.2298	10.2298	NUM
cana-2668	274	12	/	/	SYM
cana-2668	274	13	csis220215011o	csis220215011o	ADJ
cana-2668	274	14	[	[	X
cana-2668	274	15	22	22	NUM
cana-2668	274	16	]	]	X
cana-2668	274	17	el	el	PROPN
cana-2668	274	18	guabassi	guabassi	PROPN
cana-2668	274	19	,	,	PUNCT
cana-2668	274	20	inssaf	inssaf	PROPN
cana-2668	274	21	&	&	CCONJ
cana-2668	274	22	bousalem	bousalem	PROPN
cana-2668	274	23	,	,	PUNCT
cana-2668	274	24	zakaria	zakaria	PROPN
cana-2668	274	25	&	&	CCONJ
cana-2668	274	26	rim	rim	PROPN
cana-2668	274	27	,	,	PUNCT
cana-2668	274	28	marah	marah	PROPN
cana-2668	274	29	&	&	CCONJ
cana-2668	274	30	qazdar	qazdar	PROPN
cana-2668	274	31	,	,	PUNCT
cana-2668	274	32	aimad	aimad	PROPN
cana-2668	274	33	.	.	PUNCT
cana-2668	275	1	(	(	PUNCT
cana-2668	275	2	2021	2021	NUM
cana-2668	275	3	)	)	PUNCT
cana-2668	275	4	.	.	PUNCT
cana-2668	276	1	rsepua	rsepua	PROPN
cana-2668	276	2	:	:	PUNCT
cana-2668	276	3	a	a	DET
cana-2668	276	4	recommender	recommender	NOUN
cana-2668	276	5	system	system	NOUN
cana-2668	276	6	for	for	ADP
cana-2668	276	7	early	early	ADV
cana-2668	276	8	predicting	predict	VERB
cana-2668	276	9	university	university	NOUN
cana-2668	276	10	admission	admission	NOUN
cana-2668	276	11	.	.	PUNCT
cana-2668	277	1	209	209	NUM
cana-2668	277	2	-	-	SYM
cana-2668	277	3	219	219	NUM
cana-2668	277	4	.	.	PUNCT
cana-2668	278	1	doi	doi	NOUN
cana-2668	278	2	:	:	PUNCT
cana-2668	278	3	10.1007/978	10.1007/978	NUM
cana-2668	278	4	-	-	SYM
cana-2668	278	5	3	3	NUM
cana-2668	278	6	-	-	PUNCT
cana-2668	278	7	030	030	NUM
cana-2668	278	8	-	-	PUNCT
cana-2668	278	9	73882	73882	NUM
cana-2668	278	10	-	-	NUM
cana-2668	278	11	2_20	2_20	NUM
cana-2668	279	1	[	[	X
cana-2668	279	2	23	23	NUM
cana-2668	279	3	]	]	X
cana-2668	279	4	al	al	PROPN
cana-2668	279	5	-	-	PUNCT
cana-2668	279	6	alawi	alawi	PROPN
cana-2668	279	7	,	,	PUNCT
cana-2668	279	8	lamees	lamee	NOUN
cana-2668	279	9	&	&	CCONJ
cana-2668	279	10	tarhini	tarhini	PROPN
cana-2668	279	11	,	,	PUNCT
cana-2668	279	12	ali	ali	PROPN
cana-2668	279	13	&	&	CCONJ
cana-2668	279	14	al	al	PROPN
cana-2668	279	15	-	-	PUNCT
cana-2668	279	16	busaidi	busaidi	NOUN
cana-2668	279	17	,	,	PUNCT
cana-2668	279	18	adil	adil	PROPN
cana-2668	279	19	.	.	PUNCT
cana-2668	280	1	(	(	PUNCT
cana-2668	280	2	2023	2023	NUM
cana-2668	280	3	)	)	PUNCT
cana-2668	280	4	.	.	PUNCT
cana-2668	281	1	using	use	VERB
cana-2668	281	2	machine	machine	NOUN
cana-2668	281	3	learning	learn	VERB
cana-2668	281	4	to	to	PART
cana-2668	281	5	predict	predict	VERB
cana-2668	281	6	factors	factor	NOUN
cana-2668	281	7	affecting	affect	VERB
cana-2668	281	8	academic	academic	ADJ
cana-2668	281	9	performance	performance	NOUN
cana-2668	281	10	:	:	PUNCT
cana-2668	281	11	the	the	DET
cana-2668	281	12	case	case	NOUN
cana-2668	281	13	of	of	ADP
cana-2668	281	14	college	college	NOUN
cana-2668	281	15	students	student	NOUN
cana-2668	281	16	on	on	ADP
cana-2668	281	17	academic	academic	ADJ
cana-2668	281	18	probation	probation	NOUN
cana-2668	281	19	.	.	PUNCT
cana-2668	282	1	education	education	NOUN
cana-2668	282	2	and	and	CCONJ
cana-2668	282	3	information	information	NOUN
cana-2668	282	4	technologies	technology	NOUN
cana-2668	282	5	.	.	PUNCT
cana-2668	283	1	28	28	NUM
cana-2668	283	2	.	.	X
cana-2668	284	1	1	1	NUM
cana-2668	284	2	-	-	SYM
cana-2668	284	3	26	26	NUM
cana-2668	284	4	.	.	PUNCT
cana-2668	285	1	doi	doi	NOUN
cana-2668	285	2	:	:	PUNCT
cana-2668	285	3	10.1007	10.1007	NUM
cana-2668	285	4	/	/	SYM
cana-2668	285	5	s10639	s10639	NOUN
cana-2668	285	6	-	-	PUNCT
cana-2668	285	7	023	023	NUM
cana-2668	285	8	-	-	PUNCT
cana-2668	285	9	11700	11700	NUM
cana-2668	285	10	-	-	SYM
cana-2668	285	11	0	0	NUM
cana-2668	286	1	[	[	X
cana-2668	286	2	24	24	NUM
cana-2668	286	3	]	]	PUNCT
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cana-2668	286	5	,	,	PUNCT
cana-2668	286	6	laszlo	laszlo	ADJ
cana-2668	286	7	&	&	CCONJ
cana-2668	286	8	fauszt	fauszt	NOUN
cana-2668	286	9	,	,	PUNCT
cana-2668	286	10	tibor	tibor	PROPN
cana-2668	286	11	&	&	CCONJ
cana-2668	286	12	váraljai	váraljai	PROPN
cana-2668	286	13	,	,	PUNCT
cana-2668	286	14	mariann	mariann	PROPN
cana-2668	286	15	.	.	PUNCT
cana-2668	287	1	(	(	PUNCT
cana-2668	287	2	2021	2021	NUM
cana-2668	287	3	)	)	PUNCT
cana-2668	287	4	.	.	PUNCT
cana-2668	288	1	the	the	DET
cana-2668	288	2	impact	impact	NOUN
cana-2668	288	3	of	of	ADP
cana-2668	288	4	online	online	ADJ
cana-2668	288	5	quizzes	quiz	NOUN
cana-2668	288	6	on	on	ADP
cana-2668	288	7	student	student	NOUN
cana-2668	288	8	success	success	NOUN
cana-2668	288	9	.	.	PUNCT
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cana-2668	289	2	journal	journal	NOUN
cana-2668	289	3	of	of	ADP
cana-2668	289	4	emerging	emerge	VERB
cana-2668	289	5	technologies	technology	NOUN
cana-2668	289	6	in	in	ADP
cana-2668	289	7	learning	learn	VERB
cana-2668	289	8	(	(	PUNCT
cana-2668	289	9	ijet	ijet	NOUN
cana-2668	289	10	)	)	PUNCT
cana-2668	289	11	.	.	PUNCT
cana-2668	290	1	16	16	NUM
cana-2668	290	2	.	.	X
cana-2668	291	1	225	225	NUM
cana-2668	291	2	.	.	X
cana-2668	292	1	doi	doi	NOUN
cana-2668	292	2	:	:	PUNCT
cana-2668	292	3	https://doi.org/10.3991/ijet.v16i11.21679	https://doi.org/10.3991/ijet.v16i11.21679	PROPN
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cana-2668	293	7	m.	m.	PROPN
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cana-2668	293	9	,	,	PUNCT
cana-2668	293	10	"	"	PUNCT
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cana-2668	293	12	of	of	ADP
cana-2668	293	13	existing	exist	VERB
cana-2668	293	14	ml	ml	NOUN
cana-2668	293	15	techniques	technique	NOUN
cana-2668	293	16	for	for	ADP
cana-2668	293	17	students	student	NOUN
cana-2668	293	18	success	success	NOUN
cana-2668	293	19	prediction	prediction	NOUN
cana-2668	293	20	,	,	PUNCT
cana-2668	293	21	"	"	PUNCT
cana-2668	293	22	2022	2022	NUM
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cana-2668	293	24	international	international	ADJ
cana-2668	293	25	conference	conference	NOUN
cana-2668	293	26	on	on	ADP
cana-2668	293	27	parallel	parallel	NOUN
cana-2668	293	28	,	,	PUNCT
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cana-2668	293	30	and	and	CCONJ
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cana-2668	293	33	(	(	PUNCT
cana-2668	293	34	pdgc	pdgc	NOUN
cana-2668	293	35	)	)	PUNCT
cana-2668	293	36	,	,	PUNCT
cana-2668	293	37	solan	solan	PROPN
cana-2668	293	38	,	,	PUNCT
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cana-2668	293	40	pradesh	pradesh	PROPN
cana-2668	293	41	,	,	PUNCT
cana-2668	293	42	india	india	PROPN
cana-2668	293	43	,	,	PUNCT
cana-2668	293	44	2022	2022	NUM
cana-2668	293	45	,	,	PUNCT
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cana-2668	293	47	.	.	PUNCT
cana-2668	294	1	507	507	NUM
cana-2668	294	2	-	-	SYM
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cana-2668	294	4	,	,	PUNCT
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cana-2668	295	2	/	/	SYM
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cana-2668	295	14	-	-	PUNCT
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cana-2668	295	20	using	use	VERB
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cana-2668	295	23	learning	learning	NOUN
cana-2668	295	24	.	.	PUNCT
cana-2668	296	1	procedia	procedia	PROPN
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cana-2668	296	5	;	;	PUNCT
cana-2668	296	6	81	81	NUM
cana-2668	296	7	:	:	PUNCT
cana-2668	296	8	221–228	221–228	NUM
cana-2668	296	9	.	.	PUNCT
cana-2668	297	1	doi	doi	NOUN
cana-2668	297	2	:	:	PUNCT
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cana-2668	297	4	/	/	SYM
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cana-2668	297	8	]	]	SYM
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cana-2668	298	2	,	,	PUNCT
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cana-2668	298	5	,	,	PUNCT
cana-2668	298	6	mei	mei	PROPN
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cana-2668	298	9	et	et	PROPN
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cana-2668	298	15	using	use	VERB
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cana-2668	298	22	in	in	ADP
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cana-2668	299	4	;	;	PUNCT
cana-2668	299	5	10(11	10(11	NUM
cana-2668	299	6	):	):	PUNCT
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cana-2668	299	8	.	.	PUNCT
cana-2668	300	1	doi	doi	NOUN
cana-2668	300	2	:	:	PUNCT
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cana-2668	300	4	/	/	SYM
cana-2668	300	5	app10114016	app10114016	NOUN
cana-2668	301	1	[	[	X
cana-2668	301	2	28	28	NUM
cana-2668	301	3	]	]	X
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cana-2668	301	9	,	,	PUNCT
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cana-2668	301	29	in	in	ADP
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cana-2668	302	6	;	;	PUNCT
cana-2668	302	7	295	295	NUM
cana-2668	302	8	:	:	SYM
cana-2668	302	9	113086	113086	NUM
cana-2668	302	10	.	.	PUNCT
cana-2668	303	1	doi	doi	NOUN
cana-2668	303	2	:	:	PUNCT
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cana-2668	303	4	/	/	SYM
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cana-2668	304	1	[	[	X
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cana-2668	304	13	machine	machine	NOUN
cana-2668	304	14	learning	learn	VERB
cana-2668	304	15	approaches	approach	NOUN
cana-2668	304	16	for	for	ADP
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cana-2668	304	18	health	health	NOUN
cana-2668	304	19	prediction	prediction	NOUN
cana-2668	304	20	.	.	PUNCT
cana-2668	305	1	brain	brain	NOUN
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cana-2668	305	4	;	;	PUNCT
cana-2668	305	5	10	10	NUM
cana-2668	305	6	:	:	SYM
cana-2668	305	7	1	1	NUM
cana-2668	305	8	.	.	X
cana-2668	305	9	doi	doi	NOUN
cana-2668	305	10	:	:	PUNCT
cana-2668	305	11	10.1186	10.1186	NUM
cana-2668	305	12	/	/	SYM
cana-2668	305	13	s40708	s40708	PROPN
cana-2668	305	14	-	-	PUNCT
cana-2668	305	15	022	022	NUM
cana-2668	305	16	-	-	PUNCT
cana-2668	305	17	00180	00180	NUM
cana-2668	305	18	-	-	SYM
cana-2668	305	19	6	6	NUM
cana-2668	305	20	[	[	SYM
cana-2668	305	21	30	30	NUM
cana-2668	305	22	]	]	X
cana-2668	305	23	smirani	smirani	PROPN
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cana-2668	306	1	using	use	VERB
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cana-2668	306	13	paths	path	NOUN
cana-2668	306	14	.	.	PUNCT
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cana-2668	307	4	;	;	PUNCT
cana-2668	307	5	2022	2022	NUM
cana-2668	307	6	:	:	PUNCT
cana-2668	307	7	3805235	3805235	NUM
cana-2668	307	8	.	.	PUNCT
cana-2668	308	1	doi	doi	NOUN
cana-2668	308	2	:	:	PUNCT
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cana-2668	308	20	:	:	PUNCT
cana-2668	308	21	a	a	DET
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cana-2668	308	23	self	self	NOUN
cana-2668	308	24	-	-	PUNCT
cana-2668	308	25	adaptive	adaptive	ADJ
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cana-2668	309	4	;	;	PUNCT
cana-2668	309	5	7	7	NUM
cana-2668	309	6	:	:	SYM
cana-2668	309	7	120337–120349	120337–120349	NUM
cana-2668	309	8	.	.	PUNCT
cana-2668	310	1	doi	doi	NOUN
cana-2668	310	2	:	:	PUNCT
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cana-2668	310	4	/	/	SYM
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cana-2668	310	7	32	32	NUM
cana-2668	310	8	]	]	PUNCT
cana-2668	310	9	barella	barella	X
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cana-2668	310	13	lpf	lpf	PROPN
cana-2668	310	14	,	,	PUNCT
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cana-2668	310	16	souto	souto	PROPN
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cana-2668	310	18	,	,	PUNCT
cana-2668	310	19	et	et	PROPN
cana-2668	310	20	al	al	PROPN
cana-2668	310	21	.	.	PUNCT
cana-2668	311	1	assessing	assess	VERB
cana-2668	311	2	the	the	DET
cana-2668	311	3	data	data	NOUN
cana-2668	311	4	complexity	complexity	NOUN
cana-2668	311	5	of	of	ADP
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cana-2668	311	8	.	.	PUNCT
cana-2668	312	1	information	information	NOUN
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cana-2668	312	4	;	;	PUNCT
cana-2668	313	1	553	553	NUM
cana-2668	313	2	:	:	PUNCT
cana-2668	313	3	83–109	83–109	NUM
cana-2668	313	4	.	.	PUNCT
cana-2668	313	5	doi	doi	PROPN
cana-2668	313	6	:	:	PUNCT
cana-2668	313	7	10.1016	10.1016	NUM
cana-2668	313	8	/	/	SYM
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cana-2668	313	10	[	[	X
cana-2668	313	11	33	33	NUM
cana-2668	313	12	]	]	PUNCT
cana-2668	313	13	bej	bej	PROPN
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cana-2668	313	17	n	n	CCONJ
cana-2668	313	18	,	,	PUNCT
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cana-2668	313	20	m	m	PROPN
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cana-2668	314	9	.	.	PUNCT
cana-2668	315	1	machine	machine	NOUN
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cana-2668	315	4	;	;	PUNCT
cana-2668	315	5	110	110	NUM
cana-2668	315	6	:	:	PUNCT
cana-2668	316	1	279–301	279–301	NUM
cana-2668	316	2	.	.	PUNCT
cana-2668	317	1	doi	doi	NOUN
cana-2668	317	2	:	:	PUNCT
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cana-2668	317	4	/	/	SYM
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cana-2668	317	6	-	-	PUNCT
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cana-2668	317	8	-	-	PUNCT
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cana-2668	317	10	-	-	SYM
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cana-2668	317	12	[	[	SYM
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cana-2668	319	2	;	;	PUNCT
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cana-2668	320	2	.	.	PUNCT
cana-2668	321	1	https://doi.org/10.3390/app13064006	https://doi.org/10.3390/app13064006	ADJ
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cana-2668	321	3	on	on	ADP
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cana-2668	321	8	:	:	PUNCT
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cana-2668	321	10	-	-	PUNCT
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cana-2668	322	2	(	(	PUNCT
cana-2668	322	3	2025	2025	NUM
cana-2668	322	4	)	)	PUNCT
cana-2668	322	5	419	419	NUM
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cana-2668	323	1	[	[	X
cana-2668	323	2	35	35	NUM
cana-2668	323	3	]	]	PUNCT
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cana-2668	323	5	,	,	PUNCT
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cana-2668	325	13	.	.	PUNCT
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cana-2668	327	2	.	.	PUNCT
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cana-2668	331	4	.	.	PUNCT
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cana-2668	332	27	imbalanced	imbalanced	ADJ
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cana-2668	332	29	data	datum	NOUN
cana-2668	332	30	.	.	PUNCT
cana-2668	333	1	computers	computer	NOUN
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cana-2668	334	2	;	;	PUNCT
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cana-2668	335	34	,	,	PUNCT
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cana-2668	335	39	-	-	SYM
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cana-2668	335	41	,	,	PUNCT
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cana-2668	335	45	]	]	PUNCT
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cana-2668	336	1	a	a	DET
cana-2668	336	2	comparative	comparative	ADJ
cana-2668	336	3	analysis	analysis	NOUN
cana-2668	336	4	of	of	ADP
cana-2668	336	5	machine	machine	NOUN
cana-2668	336	6	learning	learning	NOUN
cana-2668	336	7	methods	method	NOUN
cana-2668	336	8	for	for	ADP
cana-2668	336	9	class	class	NOUN
cana-2668	336	10	imbalance	imbalance	NOUN
cana-2668	336	11	in	in	ADP
cana-2668	336	12	a	a	DET
cana-2668	336	13	smoking	smoking	NOUN
cana-2668	336	14	cessation	cessation	NOUN
cana-2668	336	15	intervention	intervention	NOUN
cana-2668	336	16	.	.	PUNCT
cana-2668	337	1	applied	apply	VERB
cana-2668	337	2	sciences	science	NOUN
cana-2668	337	3	2020	2020	NUM
cana-2668	337	4	;	;	PUNCT
cana-2668	337	5	10(9	10(9	NUM
cana-2668	337	6	):	):	PUNCT
cana-2668	337	7	3307	3307	NUM
cana-2668	337	8	.	.	PUNCT
cana-2668	338	1	doi	doi	NOUN
cana-2668	338	2	:	:	PUNCT
cana-2668	338	3	10.3390	10.3390	NUM
cana-2668	338	4	/	/	SYM
cana-2668	338	5	app10093307	app10093307	NOUN
cana-2668	339	1	[	[	X
cana-2668	339	2	40	40	NUM
cana-2668	339	3	]	]	PUNCT
cana-2668	339	4	seo	seo	PROPN
cana-2668	339	5	jh	jh	PROPN
cana-2668	339	6	,	,	PUNCT
cana-2668	339	7	kim	kim	PROPN
cana-2668	339	8	yh	yh	PROPN
cana-2668	339	9	.	.	PUNCT
cana-2668	340	1	a	a	DET
cana-2668	340	2	machine	machine	NOUN
cana-2668	340	3	-	-	PUNCT
cana-2668	340	4	learning	learn	VERB
cana-2668	340	5	approach	approach	NOUN
cana-2668	340	6	to	to	PART
cana-2668	340	7	optimize	optimize	VERB
cana-2668	340	8	smote	smote	ADJ
cana-2668	340	9	ratio	ratio	NOUN
cana-2668	340	10	in	in	ADP
cana-2668	340	11	class	class	NOUN
cana-2668	340	12	imbalance	imbalance	NOUN
cana-2668	340	13	dataset	dataset	NOUN
cana-2668	340	14	for	for	ADP
cana-2668	340	15	intrusion	intrusion	NOUN
cana-2668	340	16	detection	detection	NOUN
cana-2668	340	17	.	.	PUNCT
cana-2668	341	1	computational	computational	ADJ
cana-2668	341	2	intelligence	intelligence	NOUN
cana-2668	341	3	and	and	CCONJ
cana-2668	341	4	neuroscience	neuroscience	NOUN
cana-2668	341	5	2018	2018	NUM
cana-2668	341	6	;	;	PUNCT
cana-2668	341	7	2018	2018	NUM
cana-2668	341	8	:	:	PUNCT
cana-2668	341	9	9704672	9704672	NUM
cana-2668	341	10	.	.	PUNCT
cana-2668	342	1	doi	doi	NOUN
cana-2668	342	2	:	:	PUNCT
cana-2668	342	3	10.1155/2018/9704672	10.1155/2018/9704672	NUM
cana-2668	342	4	[	[	SYM
cana-2668	342	5	41	41	NUM
cana-2668	342	6	]	]	X
cana-2668	342	7	ijaz	ijaz	PROPN
cana-2668	342	8	mf	mf	PROPN
cana-2668	342	9	,	,	PUNCT
cana-2668	342	10	alfian	alfian	ADJ
cana-2668	342	11	g	g	NOUN
cana-2668	342	12	,	,	PUNCT
cana-2668	342	13	syafrudin	syafrudin	VERB
cana-2668	342	14	m	m	PROPN
cana-2668	342	15	,	,	PUNCT
cana-2668	342	16	rhee	rhee	PROPN
cana-2668	342	17	j.	j.	PROPN
cana-2668	342	18	hybrid	hybrid	PROPN
cana-2668	342	19	prediction	prediction	NOUN
cana-2668	342	20	model	model	NOUN
cana-2668	342	21	for	for	ADP
cana-2668	342	22	type	type	NOUN
cana-2668	342	23	2	2	NUM
cana-2668	342	24	diabetes	diabetes	NOUN
cana-2668	342	25	and	and	CCONJ
cana-2668	342	26	hypertension	hypertension	NOUN
cana-2668	342	27	using	use	VERB
cana-2668	342	28	dbscan	dbscan	NOUN
cana-2668	342	29	-	-	PUNCT
cana-2668	342	30	based	base	VERB
cana-2668	342	31	outlier	outlier	NOUN
cana-2668	342	32	detection	detection	NOUN
cana-2668	342	33	,	,	PUNCT
cana-2668	342	34	synthetic	synthetic	ADJ
cana-2668	342	35	minority	minority	NOUN
cana-2668	342	36	over	over	ADP
cana-2668	342	37	sampling	sample	VERB
cana-2668	342	38	technique	technique	NOUN
cana-2668	342	39	(	(	PUNCT
cana-2668	342	40	smote	smote	NOUN
cana-2668	342	41	)	)	PUNCT
cana-2668	342	42	,	,	PUNCT
cana-2668	342	43	and	and	CCONJ
cana-2668	342	44	random	random	ADJ
cana-2668	342	45	forest	forest	NOUN
cana-2668	342	46	.	.	PUNCT
cana-2668	343	1	applied	apply	VERB
cana-2668	343	2	sciences	science	NOUN
cana-2668	343	3	2018	2018	NUM
cana-2668	343	4	;	;	PUNCT
cana-2668	343	5	8(8	8(8	NUM
cana-2668	343	6	):	):	PUNCT
cana-2668	343	7	1325	1325	NUM
cana-2668	343	8	.	.	PUNCT
cana-2668	344	1	doi	doi	NOUN
cana-2668	344	2	:	:	PUNCT
cana-2668	344	3	10.3390	10.3390	NUM
cana-2668	344	4	/	/	SYM
cana-2668	344	5	app8081325	app8081325	PROPN
cana-2668	344	6	rajan	rajan	PROPN
cana-2668	344	7	saluja	saluja	PROPN
cana-2668	345	1	i	i	PRON
cana-2668	345	2	am	be	AUX
cana-2668	345	3	rajan	rajan	PROPN
cana-2668	345	4	saluja	saluja	PROPN
cana-2668	345	5	,	,	PUNCT
cana-2668	345	6	a	a	DET
cana-2668	345	7	research	research	NOUN
cana-2668	345	8	scholar	scholar	NOUN
cana-2668	345	9	at	at	ADP
cana-2668	345	10	mmictbm	mmictbm	NOUN
cana-2668	345	11	,	,	PUNCT
cana-2668	345	12	mmdu	mmdu	PROPN
cana-2668	345	13	,	,	PUNCT
cana-2668	345	14	mullana	mullana	PROPN
cana-2668	345	15	,	,	PUNCT
cana-2668	345	16	ambala	ambala	PROPN
cana-2668	345	17	,	,	PUNCT
cana-2668	345	18	india	india	PROPN
cana-2668	345	19	.	.	PUNCT
cana-2668	346	1	i	i	PRON
cana-2668	346	2	am	be	AUX
cana-2668	346	3	also	also	ADV
cana-2668	346	4	working	work	VERB
cana-2668	346	5	as	as	ADP
cana-2668	346	6	an	an	DET
cana-2668	346	7	assistant	assistant	NOUN
cana-2668	346	8	professor	professor	NOUN
cana-2668	346	9	at	at	ADP
cana-2668	346	10	uic	uic	PROPN
cana-2668	346	11	,	,	PUNCT
cana-2668	346	12	chandigarh	chandigarh	PROPN
cana-2668	346	13	university	university	NOUN
cana-2668	346	14	.	.	PUNCT
cana-2668	347	1	the	the	DET
cana-2668	347	2	research	research	NOUN
cana-2668	347	3	area	area	NOUN
cana-2668	347	4	i	i	PRON
cana-2668	347	5	am	be	AUX
cana-2668	347	6	interested	interested	ADJ
cana-2668	347	7	in	in	ADP
cana-2668	347	8	,	,	PUNCT
cana-2668	347	9	is	be	AUX
cana-2668	347	10	ensemble	ensemble	ADJ
cana-2668	347	11	machine	machine	NOUN
cana-2668	347	12	learning	learning	NOUN
cana-2668	347	13	models	model	NOUN
cana-2668	347	14	.	.	PUNCT
cana-2668	348	1	i	i	PRON
cana-2668	348	2	am	be	AUX
cana-2668	348	3	having	have	VERB
cana-2668	348	4	acm	acm	NOUN
cana-2668	348	5	professional	professional	ADJ
cana-2668	348	6	membership	membership	NOUN
cana-2668	348	7	and	and	CCONJ
cana-2668	348	8	5	5	NUM
cana-2668	348	9	publications	publication	NOUN
cana-2668	348	10	related	relate	VERB
cana-2668	348	11	to	to	ADP
cana-2668	348	12	the	the	DET
cana-2668	348	13	field	field	NOUN
cana-2668	348	14	.	.	PUNCT
cana-2668	349	1	my	my	PRON
cana-2668	349	2	emailid	emailid	PROPN
cana-2668	349	3	is	be	AUX
cana-2668	349	4	rajansaluja@yahoo.com	rajansaluja@yahoo.com	X
cana-2668	349	5	dr	dr	PROPN
cana-2668	349	6	.	.	PROPN
cana-2668	349	7	munishwar	munishwar	PROPN
cana-2668	349	8	rai	rai	PROPN
cana-2668	350	1	he	he	PRON
cana-2668	350	2	is	be	AUX
cana-2668	350	3	professor	professor	NOUN
cana-2668	350	4	at	at	ADP
cana-2668	350	5	mmictbm	mmictbm	NOUN
cana-2668	350	6	,	,	PUNCT
cana-2668	350	7	mmdu	mmdu	PROPN
cana-2668	350	8	,	,	PUNCT
cana-2668	350	9	mullana	mullana	PROPN
cana-2668	350	10	,	,	PUNCT
cana-2668	350	11	ambala	ambala	PROPN
cana-2668	350	12	.	.	PUNCT
cana-2668	351	1	he	he	PRON
cana-2668	351	2	is	be	AUX
cana-2668	351	3	having	have	VERB
cana-2668	351	4	more	more	ADJ
cana-2668	351	5	25	25	NUM
cana-2668	351	6	years	year	NOUN
cana-2668	351	7	experience	experience	NOUN
cana-2668	351	8	in	in	ADP
cana-2668	351	9	teaching	teaching	NOUN
cana-2668	351	10	and	and	CCONJ
cana-2668	351	11	more	more	ADJ
cana-2668	351	12	than	than	ADP
cana-2668	351	13	10	10	NUM
cana-2668	351	14	years	year	NOUN
cana-2668	351	15	experience	experience	NOUN
cana-2668	351	16	in	in	ADP
cana-2668	351	17	research	research	NOUN
cana-2668	351	18	field	field	NOUN
cana-2668	351	19	related	relate	VERB
cana-2668	351	20	to	to	ADP
cana-2668	351	21	machine	machine	NOUN
cana-2668	351	22	learning	learning	NOUN
cana-2668	351	23	and	and	CCONJ
cana-2668	351	24	its	its	PRON
cana-2668	351	25	applications	application	NOUN
cana-2668	351	26	.	.	PUNCT
cana-2668	352	1	he	he	PRON
cana-2668	352	2	has	have	VERB
cana-2668	352	3	more	more	ADV
cana-2668	352	4	40	40	NUM
cana-2668	352	5	publication	publication	NOUN
cana-2668	352	6	in	in	ADP
cana-2668	352	7	scopus	scopus	PROPN
cana-2668	352	8	indexed	index	VERB
cana-2668	352	9	,	,	PUNCT
cana-2668	352	10	wos	wos	NOUN
cana-2668	352	11	,	,	PUNCT
cana-2668	352	12	and	and	CCONJ
cana-2668	352	13	ugc	ugc	PROPN
cana-2668	352	14	approved	approve	VERB
cana-2668	352	15	journals	journal	NOUN
cana-2668	352	16	and	and	CCONJ
cana-2668	352	17	conference	conference	NOUN
cana-2668	352	18	proceedings	proceeding	NOUN
cana-2668	352	19	.	.	PUNCT
cana-2668	353	1	author	author	NOUN
cana-2668	353	2	’s	’s	PART
cana-2668	353	3	photo	photo	PROPN
cana-2668	353	4	author	author	NOUN
cana-2668	353	5	’s	’s	PART
cana-2668	353	6	photo	photo	NOUN
cana-2668	353	7	mailto:rajansaluja@yahoo.com	mailto:rajansaluja@yahoo.com	X