id	sid	tid	token	lemma	pos
bitcs-6073	1	1	implementation	implementation	NOUN
bitcs-6073	1	2	of	of	ADP
bitcs-6073	1	3	orange	orange	PROPN
bitcs-6073	1	4	data	data	PROPN
bitcs-6073	1	5	mining	mining	NOUN
bitcs-6073	1	6	to	to	PART
bitcs-6073	1	7	predict	predict	VERB
bitcs-6073	1	8	student	student	NOUN
bitcs-6073	1	9	graduation	graduation	NOUN
bitcs-6073	1	10	on	on	ADP
bitcs-6073	1	11	time	time	NOUN
bitcs-6073	1	12	at	at	ADP
bitcs-6073	1	13	pringsewu	pringsewu	PROPN
bitcs-6073	1	14	muhammadiyah	muhammadiyah	ADP
bitcs-6073	1	15	university	university	PROPN
bitcs-6073	1	16	roby	roby	PROPN
bitcs-6073	1	17	novianto1	novianto1	PROPN
bitcs-6073	1	18	*	*	PROPN
bitcs-6073	1	19	,	,	PUNCT
bitcs-6073	1	20	bambang	bambang	PROPN
bitcs-6073	1	21	triraharjo2	triraharjo2	PROPN
bitcs-6073	1	22	,	,	PUNCT
bitcs-6073	1	23	baskoro3	baskoro3	PROPN
bitcs-6073	1	24	1,2,3	1,2,3	NUM
bitcs-6073	1	25	sistem	sistem	PROPN
bitcs-6073	1	26	dan	dan	PROPN
bitcs-6073	1	27	teknologi	teknologi	PROPN
bitcs-6073	1	28	informasi	informasi	PROPN
bitcs-6073	1	29	,	,	PUNCT
bitcs-6073	1	30	universitas	universita	NOUN
bitcs-6073	1	31	muhammadiyah	muhammadiyah	ADP
bitcs-6073	1	32	pringsewu	pringsewu	PROPN
bitcs-6073	1	33	1robynovianto@umpri.ac.id	1robynovianto@umpri.ac.id	NUM
bitcs-6073	1	34	,	,	PUNCT
bitcs-6073	1	35	2bambangtriraharjo@umpri.ac.id	2bambangtriraharjo@umpri.ac.id	NUM
bitcs-6073	1	36	,	,	PUNCT
bitcs-6073	1	37	3baskoro@umpri.ac.id	3baskoro@umpri.ac.id	NUM
bitcs-6073	1	38	abstract	abstract	ADJ
bitcs-6073	1	39	thel	thel	PROPN
bitcs-6073	1	40	prolcelss	prolcelss	PROPN
bitcs-6073	1	41	olf	olf	CCONJ
bitcs-6073	1	42	molnitolring	molnitolring	NOUN
bitcs-6073	1	43	and	and	CCONJ
bitcs-6073	1	44	elvaluating	elvaluate	VERB
bitcs-6073	1	45	thel	thel	PROPN
bitcs-6073	1	46	graduatioln	graduatioln	NOUN
bitcs-6073	1	47	olf	olf	PROPN
bitcs-6073	1	48	muhammadiyah	muhammadiyah	NOUN
bitcs-6073	1	49	pringselwu	pringselwu	NOUN
bitcs-6073	1	50	univelrsity	univelrsity	NOUN
bitcs-6073	1	51	(	(	PUNCT
bitcs-6073	1	52	umpri	umpri	ADJ
bitcs-6073	1	53	)	)	PUNCT
bitcs-6073	1	54	studelnts	studelnt	NOUN
bitcs-6073	1	55	relally	relally	ADV
bitcs-6073	1	56	ne	ne	PROPN
bitcs-6073	1	57	lelds	lelds	PROPN
bitcs-6073	1	58	tol	tol	NOUN
bitcs-6073	1	59	bel	bel	NOUN
bitcs-6073	1	60	dolne	dolne	PROPN
bitcs-6073	1	61	l	l	PROPN
bitcs-6073	1	62	belcausel	belcausel	PROPN
bitcs-6073	1	63	thel	thel	PROPN
bitcs-6073	1	64	studelnt	studelnt	PROPN
bitcs-6073	1	65	graduatioln	graduatioln	NOUN
bitcs-6073	1	66	ratel	ratel	NOUN
bitcs-6073	1	67	is	be	AUX
bitcs-6073	1	68	an	an	DET
bitcs-6073	1	69	ellelmelnt	ellelmelnt	NOUN
bitcs-6073	1	70	olf	olf	NOUN
bitcs-6073	1	71	accrelditatioln	accrelditatioln	NOUN
bitcs-6073	1	72	asselssmelnt	asselssmelnt	NOUN
bitcs-6073	1	73	that	that	PRON
bitcs-6073	1	74	is	be	AUX
bitcs-6073	1	75	velry	velry	ADJ
bitcs-6073	1	76	impolrtant	impolrtant	ADJ
bitcs-6073	1	77	folr	folr	NOUN
bitcs-6073	1	78	e	e	X
bitcs-6073	1	79	lach	lach	ADJ
bitcs-6073	1	80	study	study	NOUN
bitcs-6073	1	81	prolgram	prolgram	NOUN
bitcs-6073	1	82	.	.	PUNCT
bitcs-6073	2	1	data	datum	NOUN
bitcs-6073	2	2	mining	mining	NOUN
bitcs-6073	2	3	can	can	AUX
bitcs-6073	2	4	be	be	AUX
bitcs-6073	2	5	l	l	NOUN
bitcs-6073	2	6	use	use	NOUN
bitcs-6073	2	7	ld	ld	PROPN
bitcs-6073	2	8	tol	tol	NOUN
bitcs-6073	2	9	classify	classify	VERB
bitcs-6073	2	10	studelnt	studelnt	PROPN
bitcs-6073	2	11	graduatioln	graduatioln	NOUN
bitcs-6073	2	12	accuracy	accuracy	NOUN
bitcs-6073	2	13	.	.	PUNCT
bitcs-6073	3	1	this	this	DET
bitcs-6073	3	2	study	study	NOUN
bitcs-6073	3	3	aims	aim	VERB
bitcs-6073	3	4	to	to	PART
bitcs-6073	3	5	l	l	NOUN
bitcs-6073	3	6	apply	apply	VERB
bitcs-6073	3	7	thel	thel	PROPN
bitcs-6073	3	8	olrangel	olrangel	PROPN
bitcs-6073	3	9	data	data	PROPN
bitcs-6073	3	10	mining	mining	PROPN
bitcs-6073	3	11	applicatioln	applicatioln	NOUN
bitcs-6073	3	12	using	use	VERB
bitcs-6073	3	13	thel	thel	PROPN
bitcs-6073	3	14	k	k	PROPN
bitcs-6073	3	15	-	-	PROPN
bitcs-6073	3	16	nelarelst	nelarelst	ADJ
bitcs-6073	3	17	nelighbolr	nelighbolr	NOUN
bitcs-6073	3	18	(	(	PUNCT
bitcs-6073	3	19	k	k	PROPN
bitcs-6073	3	20	-	-	PUNCT
bitcs-6073	3	21	nn	nn	NOUN
bitcs-6073	3	22	)	)	PUNCT
bitcs-6073	3	23	,	,	PUNCT
bitcs-6073	3	24	de	de	X
bitcs-6073	3	25	lcisioln	lcisioln	NOUN
bitcs-6073	3	26	trelel	trelel	NOUN
bitcs-6073	3	27	and	and	CCONJ
bitcs-6073	3	28	naivel	naivel	VERB
bitcs-6073	3	29	bayels	bayel	NOUN
bitcs-6073	3	30	moldells	moldells	ADV
bitcs-6073	3	31	and	and	CCONJ
bitcs-6073	3	32	will	will	AUX
bitcs-6073	3	33	theln	theln	ADV
bitcs-6073	3	34	elvaluatel	elvaluatel	PROPN
bitcs-6073	3	35	thel	thel	PROPN
bitcs-6073	3	36	accuracy	accuracy	PROPN
bitcs-6073	3	37	olf	olf	PROPN
bitcs-6073	3	38	elach	elach	PROPN
bitcs-6073	3	39	olf	olf	NOUN
bitcs-6073	3	40	thelsel	thelsel	PROPN
bitcs-6073	3	41	moldells	moldell	VERB
bitcs-6073	3	42	.	.	PUNCT
bitcs-6073	4	1	this	this	DET
bitcs-6073	4	2	relselarch	relselarch	NOUN
bitcs-6073	4	3	was	be	AUX
bitcs-6073	4	4	colnducteld	colnducteld	VERB
bitcs-6073	4	5	at	at	ADP
bitcs-6073	4	6	pringselwu	pringselwu	PROPN
bitcs-6073	4	7	muhammadiyah	muhammadiyah	ADP
bitcs-6073	4	8	univelrsity	univelrsity	NOUN
bitcs-6073	4	9	in	in	ADP
bitcs-6073	4	10	selvelral	selvelral	ADJ
bitcs-6073	4	11	batche	batche	NOUN
bitcs-6073	4	12	ls	ls	PROPN
bitcs-6073	4	13	,	,	PUNCT
bitcs-6073	4	14	theln	theln	ADJ
bitcs-6073	4	15	studelnt	studelnt	PROPN
bitcs-6073	4	16	data	datum	NOUN
bitcs-6073	4	17	will	will	AUX
bitcs-6073	4	18	bel	bel	VERB
bitcs-6073	4	19	analyzeld	analyzeld	ADJ
bitcs-6073	4	20	using	use	VERB
bitcs-6073	4	21	thel	thel	PROPN
bitcs-6073	4	22	olrangel	olrangel	PROPN
bitcs-6073	4	23	data	data	PROPN
bitcs-6073	4	24	mining	mining	PROPN
bitcs-6073	4	25	applicatioln	applicatioln	NOUN
bitcs-6073	4	26	using	use	VERB
bitcs-6073	4	27	thel	thel	PROPN
bitcs-6073	4	28	k	k	PROPN
bitcs-6073	4	29	-	-	PUNCT
bitcs-6073	4	30	nn	nn	PROPN
bitcs-6073	4	31	,	,	PUNCT
bitcs-6073	4	32	de	de	X
bitcs-6073	4	33	lcisioln	lcisioln	NOUN
bitcs-6073	4	34	trelel	trelel	NOUN
bitcs-6073	4	35	and	and	CCONJ
bitcs-6073	4	36	naive	naive	ADJ
bitcs-6073	4	37	l	l	NOUN
bitcs-6073	4	38	bayels	bayel	NOUN
bitcs-6073	4	39	moldells	moldell	VERB
bitcs-6073	4	40	.	.	PUNCT
bitcs-6073	5	1	thel	thel	PROPN
bitcs-6073	5	2	data	data	PROPN
bitcs-6073	5	3	te	te	ADP
bitcs-6073	5	4	lsting	lste	VERB
bitcs-6073	5	5	prolcelss	prolcelss	PROPN
bitcs-6073	5	6	appliels	appliel	VERB
bitcs-6073	5	7	k	k	ADJ
bitcs-6073	5	8	-	-	PUNCT
bitcs-6073	5	9	folld	folld	NOUN
bitcs-6073	5	10	cro	cro	PROPN
bitcs-6073	5	11	lss	lss	PROPN
bitcs-6073	5	12	validatioln	validatioln	PROPN
bitcs-6073	5	13	(	(	PUNCT
bitcs-6073	5	14	k=5	k=5	PROPN
bitcs-6073	5	15	)	)	PUNCT
bitcs-6073	5	16	,	,	PUNCT
bitcs-6073	5	17	whilel	whilel	ADJ
bitcs-6073	5	18	thel	thel	PROPN
bitcs-6073	5	19	e	e	PROPN
bitcs-6073	5	20	lvaluatioln	lvaluatioln	PROPN
bitcs-6073	5	21	moldell	moldell	PROPN
bitcs-6073	5	22	useld	useld	PROPN
bitcs-6073	5	23	is	be	AUX
bitcs-6073	5	24	thel	thel	PROPN
bitcs-6073	5	25	colnfusioln	colnfusioln	PROPN
bitcs-6073	5	26	matrix	matrix	NOUN
bitcs-6073	5	27	and	and	CCONJ
bitcs-6073	5	28	rolc	rolc	NOUN
bitcs-6073	5	29	.	.	PUNCT
bitcs-6073	6	1	thel	thel	PROPN
bitcs-6073	6	2	relsults	relsults	PROPN
bitcs-6073	6	3	olf	olf	ADV
bitcs-6073	6	4	thel	thel	PROPN
bitcs-6073	6	5	colmparisoln	colmparisoln	PROPN
bitcs-6073	6	6	olf	olf	PROPN
bitcs-6073	6	7	thel	thel	PROPN
bitcs-6073	6	8	threlel	threlel	VERB
bitcs-6073	6	9	moldells	moldell	NOUN
bitcs-6073	6	10	arel	arel	NOUN
bitcs-6073	6	11	as	as	ADP
bitcs-6073	6	12	folllolws	folllolws	ADJ
bitcs-6073	6	13	,	,	PUNCT
bitcs-6073	6	14	k	k	PROPN
bitcs-6073	6	15	-	-	PUNCT
bitcs-6073	6	16	nn	nn	PROPN
bitcs-6073	6	17	has	have	VERB
bitcs-6073	6	18	an	an	DET
bitcs-6073	6	19	accuracy	accuracy	NOUN
bitcs-6073	6	20	ratel	ratel	NOUN
bitcs-6073	6	21	olf	olf	NOUN
bitcs-6073	6	22	75.7	75.7	NUM
bitcs-6073	6	23	%	%	NOUN
bitcs-6073	6	24	,	,	PUNCT
bitcs-6073	6	25	delcisioln	delcisioln	NOUN
bitcs-6073	6	26	trelel	trelel	NOUN
bitcs-6073	6	27	has	have	VERB
bitcs-6073	6	28	an	an	DET
bitcs-6073	6	29	accuracy	accuracy	NOUN
bitcs-6073	6	30	ratel	ratel	NOUN
bitcs-6073	6	31	olf	olf	NOUN
bitcs-6073	6	32	78.1	78.1	NUM
bitcs-6073	6	33	%	%	NOUN
bitcs-6073	6	34	,	,	PUNCT
bitcs-6073	6	35	and	and	CCONJ
bitcs-6073	6	36	naivel	naivel	VERB
bitcs-6073	6	37	baye	baye	NOUN
bitcs-6073	6	38	ls	ls	PROPN
bitcs-6073	6	39	has	have	VERB
bitcs-6073	6	40	an	an	DET
bitcs-6073	6	41	accuracy	accuracy	NOUN
bitcs-6073	6	42	ratel	ratel	NOUN
bitcs-6073	6	43	olf	olf	NOUN
bitcs-6073	6	44	77.8	77.8	NUM
bitcs-6073	6	45	%	%	NOUN
bitcs-6073	6	46	.	.	PUNCT
bitcs-6073	7	1	thelrelfolrel	thelrelfolrel	PROPN
bitcs-6073	7	2	,	,	PUNCT
bitcs-6073	7	3	folr	folr	NOUN
bitcs-6073	7	4	classifying	classify	VERB
bitcs-6073	7	5	thel	thel	PROPN
bitcs-6073	7	6	graduatioln	graduatioln	NOUN
bitcs-6073	7	7	ratel	ratel	VERB
bitcs-6073	7	8	olf	olf	NOUN
bitcs-6073	7	9	muhammadiyah	muhammadiyah	NOUN
bitcs-6073	7	10	univelrsity	univelrsity	NOUN
bitcs-6073	7	11	studelnts	studelnt	NOUN
bitcs-6073	7	12	,	,	PUNCT
bitcs-6073	7	13	pringselwu	pringselwu	VERB
bitcs-6073	7	14	relcolmmelnds	relcolmmelnd	VERB
bitcs-6073	7	15	thel	thel	PROPN
bitcs-6073	7	16	de	de	PROPN
bitcs-6073	7	17	lcisioln	lcisioln	PROPN
bitcs-6073	7	18	trelel	trelel	PROPN
bitcs-6073	7	19	moldell	moldell	PROPN
bitcs-6073	7	20	belcausel	belcausel	NOUN
bitcs-6073	7	21	it	it	PRON
bitcs-6073	7	22	has	have	VERB
bitcs-6073	7	23	a	a	DET
bitcs-6073	7	24	belttelr	belttelr	NOUN
bitcs-6073	7	25	lelvell	lelvell	ADJ
bitcs-6073	7	26	olf	olf	NOUN
bitcs-6073	7	27	accuracy	accuracy	NOUN
bitcs-6073	7	28	than	than	ADP
bitcs-6073	7	29	k	k	X
bitcs-6073	7	30	-	-	PUNCT
bitcs-6073	7	31	nn	nn	PROPN
bitcs-6073	7	32	and	and	CCONJ
bitcs-6073	7	33	naivel	naivel	NOUN
bitcs-6073	7	34	bayels	bayel	NOUN
bitcs-6073	7	35	.	.	PUNCT
bitcs-6073	8	1	kelywolrds	kelywolrd	NOUN
bitcs-6073	8	2	:	:	PUNCT
bitcs-6073	8	3	graduatioln	graduatioln	NOUN
bitcs-6073	8	4	,	,	PUNCT
bitcs-6073	8	5	preldictioln	preldictioln	PROPN
bitcs-6073	8	6	,	,	PUNCT
bitcs-6073	8	7	data	data	NOUN
bitcs-6073	8	8	mining	mining	NOUN
bitcs-6073	8	9	,	,	PUNCT
bitcs-6073	8	10	c4.5	c4.5	PROPN
bitcs-6073	8	11	,	,	PUNCT
bitcs-6073	8	12	naïvel	naïvel	NOUN
bitcs-6073	8	13	bayels	bayel	NOUN
bitcs-6073	8	14	i.	i.	PROPN
bitcs-6073	8	15	introduction	introduction	NOUN
bitcs-6073	8	16	the	the	DET
bitcs-6073	8	17	development	development	NOUN
bitcs-6073	8	18	of	of	ADP
bitcs-6073	8	19	the	the	DET
bitcs-6073	8	20	world	world	NOUN
bitcs-6073	8	21	of	of	ADP
bitcs-6073	8	22	education	education	NOUN
bitcs-6073	8	23	in	in	ADP
bitcs-6073	8	24	indonesia	indonesia	PROPN
bitcs-6073	8	25	has	have	AUX
bitcs-6073	8	26	had	have	VERB
bitcs-6073	8	27	the	the	DET
bitcs-6073	8	28	impact	impact	NOUN
bitcs-6073	8	29	of	of	ADP
bitcs-6073	8	30	very	very	ADV
bitcs-6073	8	31	tight	tight	ADJ
bitcs-6073	8	32	competition	competition	NOUN
bitcs-6073	8	33	.	.	PUNCT
bitcs-6073	9	1	this	this	PRON
bitcs-6073	9	2	was	be	AUX
bitcs-6073	9	3	triggered	trigger	VERB
bitcs-6073	9	4	by	by	ADP
bitcs-6073	9	5	the	the	DET
bitcs-6073	9	6	increasingly	increasingly	ADV
bitcs-6073	9	7	advanced	advanced	ADJ
bitcs-6073	9	8	education	education	NOUN
bitcs-6073	9	9	in	in	ADP
bitcs-6073	9	10	universities	university	NOUN
bitcs-6073	9	11	.	.	PUNCT
bitcs-6073	10	1	one	one	NUM
bitcs-6073	10	2	of	of	ADP
bitcs-6073	10	3	the	the	DET
bitcs-6073	10	4	impacts	impact	NOUN
bitcs-6073	10	5	of	of	ADP
bitcs-6073	10	6	competition	competition	NOUN
bitcs-6073	10	7	is	be	AUX
bitcs-6073	10	8	producing	produce	VERB
bitcs-6073	10	9	quality	quality	NOUN
bitcs-6073	10	10	graduates	graduate	NOUN
bitcs-6073	10	11	.	.	PUNCT
bitcs-6073	11	1	the	the	DET
bitcs-6073	11	2	criteria	criterion	NOUN
bitcs-6073	11	3	for	for	ADP
bitcs-6073	11	4	quality	quality	NOUN
bitcs-6073	11	5	graduates	graduate	NOUN
bitcs-6073	11	6	include	include	VERB
bitcs-6073	11	7	being	be	AUX
bitcs-6073	11	8	able	able	ADJ
bitcs-6073	11	9	to	to	PART
bitcs-6073	11	10	complete	complete	VERB
bitcs-6073	11	11	mass	mass	ADJ
bitcs-6073	11	12	learning	learning	NOUN
bitcs-6073	11	13	on	on	ADP
bitcs-6073	11	14	time	time	NOUN
bitcs-6073	11	15	.	.	PUNCT
bitcs-6073	12	1	the	the	DET
bitcs-6073	12	2	timely	timely	ADV
bitcs-6073	12	3	learning	learning	NOUN
bitcs-6073	12	4	period	period	NOUN
bitcs-6073	12	5	greatly	greatly	ADV
bitcs-6073	12	6	influences	influence	VERB
bitcs-6073	12	7	the	the	DET
bitcs-6073	12	8	quality	quality	NOUN
bitcs-6073	12	9	of	of	ADP
bitcs-6073	12	10	higher	high	ADJ
bitcs-6073	12	11	education	education	NOUN
bitcs-6073	12	12	[	[	X
bitcs-6073	12	13	16	16	NUM
bitcs-6073	12	14	]	]	PUNCT
bitcs-6073	12	15	.	.	PUNCT
bitcs-6073	13	1	the	the	DET
bitcs-6073	13	2	ability	ability	NOUN
bitcs-6073	13	3	of	of	ADP
bitcs-6073	13	4	universities	university	NOUN
bitcs-6073	13	5	to	to	PART
bitcs-6073	13	6	produce	produce	VERB
bitcs-6073	13	7	graduates	graduate	NOUN
bitcs-6073	13	8	who	who	PRON
bitcs-6073	13	9	are	be	AUX
bitcs-6073	13	10	able	able	ADJ
bitcs-6073	13	11	to	to	PART
bitcs-6073	13	12	solve	solve	VERB
bitcs-6073	13	13	learning	learn	VERB
bitcs-6073	13	14	problems	problem	NOUN
bitcs-6073	13	15	on	on	ADP
bitcs-6073	13	16	time	time	NOUN
bitcs-6073	13	17	is	be	AUX
bitcs-6073	13	18	a	a	DET
bitcs-6073	13	19	factor	factor	NOUN
bitcs-6073	13	20	that	that	PRON
bitcs-6073	13	21	influences	influence	VERB
bitcs-6073	13	22	higher	high	ADJ
bitcs-6073	13	23	education	education	NOUN
bitcs-6073	13	24	accreditation	accreditation	NOUN
bitcs-6073	13	25	.	.	PUNCT
bitcs-6073	14	1	this	this	PRON
bitcs-6073	14	2	is	be	AUX
bitcs-6073	14	3	in	in	ADP
bitcs-6073	14	4	accordance	accordance	NOUN
bitcs-6073	14	5	with	with	ADP
bitcs-6073	14	6	the	the	DET
bitcs-6073	14	7	national	national	ADJ
bitcs-6073	14	8	accreditation	accreditation	PROPN
bitcs-6073	14	9	board	board	NOUN
bitcs-6073	14	10	for	for	ADP
bitcs-6073	14	11	higher	high	ADJ
bitcs-6073	14	12	education	education	NOUN
bitcs-6073	14	13	regulations	regulation	NOUN
bitcs-6073	14	14	number	number	NOUN
bitcs-6073	14	15	3	3	NUM
bitcs-6073	14	16	of	of	ADP
bitcs-6073	14	17	2019	2019	NUM
bitcs-6073	14	18	concerning	concern	VERB
bitcs-6073	14	19	higher	high	ADJ
bitcs-6073	14	20	education	education	NOUN
bitcs-6073	14	21	accreditation	accreditation	NOUN
bitcs-6073	14	22	instruments	instrument	NOUN
bitcs-6073	14	23	which	which	PRON
bitcs-6073	14	24	states	state	VERB
bitcs-6073	14	25	that	that	SCONJ
bitcs-6073	14	26	one	one	NUM
bitcs-6073	14	27	of	of	ADP
bitcs-6073	14	28	the	the	DET
bitcs-6073	14	29	indicators	indicator	NOUN
bitcs-6073	14	30	for	for	ADP
bitcs-6073	14	31	accreditation	accreditation	NOUN
bitcs-6073	14	32	assessment	assessment	NOUN
bitcs-6073	14	33	is	be	AUX
bitcs-6073	14	34	the	the	DET
bitcs-6073	14	35	percentage	percentage	NOUN
bitcs-6073	14	36	of	of	ADP
bitcs-6073	14	37	graduates	graduate	NOUN
bitcs-6073	14	38	on	on	ADP
bitcs-6073	14	39	time	time	NOUN
bitcs-6073	14	40	for	for	ADP
bitcs-6073	14	41	each	each	DET
bitcs-6073	14	42	program	program	NOUN
bitcs-6073	14	43	from	from	ADP
bitcs-6073	14	44	a	a	DET
bitcs-6073	14	45	tertiary	tertiary	ADJ
bitcs-6073	14	46	institution	institution	NOUN
bitcs-6073	14	47	.	.	PUNCT
bitcs-6073	15	1	therefore	therefore	ADV
bitcs-6073	15	2	,	,	PUNCT
bitcs-6073	15	3	it	it	PRON
bitcs-6073	15	4	is	be	AUX
bitcs-6073	15	5	necessary	necessary	ADJ
bitcs-6073	15	6	to	to	PART
bitcs-6073	15	7	monitor	monitor	VERB
bitcs-6073	15	8	the	the	DET
bitcs-6073	15	9	student	student	NOUN
bitcs-6073	15	10	's	's	PART
bitcs-6073	15	11	study	study	NOUN
bitcs-6073	15	12	period	period	NOUN
bitcs-6073	15	13	.	.	PUNCT
bitcs-6073	16	1	the	the	DET
bitcs-6073	16	2	average	average	ADJ
bitcs-6073	16	3	study	study	NOUN
bitcs-6073	16	4	period	period	NOUN
bitcs-6073	16	5	for	for	ADP
bitcs-6073	16	6	students	student	NOUN
bitcs-6073	16	7	studying	study	VERB
bitcs-6073	16	8	at	at	ADP
bitcs-6073	16	9	pringsewu	pringsewu	PROPN
bitcs-6073	16	10	muhammadiyah	muhammadiyah	PROPN
bitcs-6073	16	11	university	university	NOUN
bitcs-6073	16	12	is	be	AUX
bitcs-6073	16	13	still	still	ADV
bitcs-6073	16	14	over	over	ADP
bitcs-6073	16	15	4	4	NUM
bitcs-6073	16	16	years	year	NOUN
bitcs-6073	16	17	so	so	SCONJ
bitcs-6073	16	18	it	it	PRON
bitcs-6073	16	19	is	be	AUX
bitcs-6073	16	20	necessary	necessary	ADJ
bitcs-6073	16	21	to	to	PART
bitcs-6073	16	22	try	try	VERB
bitcs-6073	16	23	an	an	DET
bitcs-6073	16	24	evaluation	evaluation	NOUN
bitcs-6073	16	25	using	use	VERB
bitcs-6073	16	26	the	the	DET
bitcs-6073	16	27	student	student	NOUN
bitcs-6073	16	28	classification	classification	NOUN
bitcs-6073	16	29	method	method	NOUN
bitcs-6073	16	30	using	use	VERB
bitcs-6073	16	31	the	the	DET
bitcs-6073	16	32	orange	orange	ADJ
bitcs-6073	16	33	application	application	NOUN
bitcs-6073	16	34	with	with	ADP
bitcs-6073	16	35	three	three	NUM
bitcs-6073	16	36	models	model	NOUN
bitcs-6073	16	37	,	,	PUNCT
bitcs-6073	16	38	namely	namely	ADV
bitcs-6073	16	39	k	k	X
bitcs-6073	16	40	-	-	PUNCT
bitcs-6073	16	41	nearest	near	ADJ
bitcs-6073	16	42	neighbor	neighbor	NOUN
bitcs-6073	16	43	(	(	PUNCT
bitcs-6073	16	44	knn	knn	PROPN
bitcs-6073	16	45	)	)	PUNCT
bitcs-6073	16	46	,	,	PUNCT
bitcs-6073	16	47	decision	decision	NOUN
bitcs-6073	16	48	tree	tree	NOUN
bitcs-6073	16	49	and	and	CCONJ
bitcs-6073	16	50	naive	naive	ADJ
bitcs-6073	16	51	bayes	baye	NOUN
bitcs-6073	16	52	.	.	PUNCT
bitcs-6073	17	1	length	length	NOUN
bitcs-6073	17	2	of	of	ADP
bitcs-6073	17	3	study	study	NOUN
bitcs-6073	17	4	is	be	AUX
bitcs-6073	17	5	the	the	DET
bitcs-6073	17	6	period	period	NOUN
bitcs-6073	17	7	of	of	ADP
bitcs-6073	17	8	time	time	NOUN
bitcs-6073	17	9	required	require	VERB
bitcs-6073	17	10	for	for	SCONJ
bitcs-6073	17	11	students	student	NOUN
bitcs-6073	17	12	to	to	PART
bitcs-6073	17	13	complete	complete	VERB
bitcs-6073	17	14	their	their	PRON
bitcs-6073	17	15	education	education	NOUN
bitcs-6073	17	16	.	.	PUNCT
bitcs-6073	18	1	the	the	DET
bitcs-6073	18	2	duration	duration	NOUN
bitcs-6073	18	3	of	of	ADP
bitcs-6073	18	4	student	student	NOUN
bitcs-6073	18	5	study	study	NOUN
bitcs-6073	18	6	has	have	AUX
bitcs-6073	18	7	been	be	AUX
bitcs-6073	18	8	regulated	regulate	VERB
bitcs-6073	18	9	in	in	ADP
bitcs-6073	18	10	the	the	DET
bitcs-6073	18	11	ministry	ministry	PROPN
bitcs-6073	18	12	of	of	ADP
bitcs-6073	18	13	education	education	PROPN
bitcs-6073	18	14	and	and	CCONJ
bitcs-6073	18	15	culture	culture	NOUN
bitcs-6073	18	16	's	's	PART
bitcs-6073	18	17	decree	decree	NOUN
bitcs-6073	18	18	regarding	regard	VERB
bitcs-6073	18	19	the	the	DET
bitcs-6073	18	20	undergraduate	undergraduate	ADJ
bitcs-6073	18	21	program	program	NOUN
bitcs-6073	18	22	(	(	PUNCT
bitcs-6073	18	23	s1	s1	NOUN
bitcs-6073	18	24	)	)	PUNCT
bitcs-6073	18	25	education	education	NOUN
bitcs-6073	18	26	system	system	NOUN
bitcs-6073	18	27	which	which	PRON
bitcs-6073	18	28	has	have	VERB
bitcs-6073	18	29	a	a	DET
bitcs-6073	18	30	semester	semester	NOUN
bitcs-6073	18	31	credit	credit	NOUN
bitcs-6073	18	32	load	load	NOUN
bitcs-6073	18	33	that	that	PRON
bitcs-6073	18	34	must	must	AUX
bitcs-6073	18	35	be	be	AUX
bitcs-6073	18	36	taken	take	VERB
bitcs-6073	18	37	between	between	ADP
bitcs-6073	18	38	144	144	NUM
bitcs-6073	18	39	and	and	CCONJ
bitcs-6073	18	40	160	160	NUM
bitcs-6073	18	41	credits	credit	NOUN
bitcs-6073	18	42	with	with	ADP
bitcs-6073	18	43	a	a	DET
bitcs-6073	18	44	length	length	NOUN
bitcs-6073	18	45	of	of	ADP
bitcs-6073	18	46	study	study	NOUN
bitcs-6073	18	47	on	on	ADP
bitcs-6073	18	48	campus	campus	NOUN
bitcs-6073	18	49	of	of	ADP
bitcs-6073	18	50	between	between	ADP
bitcs-6073	18	51	8	8	NUM
bitcs-6073	18	52	and	and	CCONJ
bitcs-6073	18	53	10	10	NUM
bitcs-6073	18	54	semesters	semester	NOUN
bitcs-6073	18	55	or	or	CCONJ
bitcs-6073	18	56	the	the	DET
bitcs-6073	18	57	equivalent	equivalent	NOUN
bitcs-6073	18	58	of	of	ADP
bitcs-6073	18	59	between	between	ADP
bitcs-6073	18	60	4	4	NUM
bitcs-6073	18	61	and	and	CCONJ
bitcs-6073	18	62	5	5	NUM
bitcs-6073	18	63	years	year	NOUN
bitcs-6073	18	64	.	.	PUNCT
bitcs-6073	19	1	information	information	NOUN
bitcs-6073	19	2	on	on	ADP
bitcs-6073	19	3	students	student	NOUN
bitcs-6073	19	4	'	'	PART
bitcs-6073	19	5	grades	grade	NOUN
bitcs-6073	19	6	for	for	ADP
bitcs-6073	19	7	each	each	DET
bitcs-6073	19	8	semester	semester	NOUN
bitcs-6073	19	9	and	and	CCONJ
bitcs-6073	19	10	student	student	NOUN
bitcs-6073	19	11	graduation	graduation	NOUN
bitcs-6073	19	12	information	information	NOUN
bitcs-6073	19	13	can	can	AUX
bitcs-6073	19	14	be	be	AUX
bitcs-6073	19	15	processed	process	VERB
bitcs-6073	19	16	to	to	PART
bitcs-6073	19	17	create	create	VERB
bitcs-6073	19	18	data	datum	NOUN
bitcs-6073	19	19	that	that	PRON
bitcs-6073	19	20	is	be	AUX
bitcs-6073	19	21	useful	useful	ADJ
bitcs-6073	19	22	for	for	ADP
bitcs-6073	19	23	analyzing	analyze	VERB
bitcs-6073	19	24	the	the	DET
bitcs-6073	19	25	accuracy	accuracy	NOUN
bitcs-6073	19	26	of	of	ADP
bitcs-6073	19	27	students	student	NOUN
bitcs-6073	19	28	'	'	PART
bitcs-6073	19	29	study	study	NOUN
bitcs-6073	19	30	progress	progress	NOUN
bitcs-6073	20	1	[	[	X
bitcs-6073	20	2	1	1	NUM
bitcs-6073	20	3	]	]	PUNCT
bitcs-6073	20	4	.	.	PUNCT
bitcs-6073	21	1	based	base	VERB
bitcs-6073	21	2	on	on	ADP
bitcs-6073	21	3	information	information	NOUN
bitcs-6073	21	4	obtained	obtain	VERB
bitcs-6073	21	5	from	from	ADP
bitcs-6073	21	6	muhammadiyah	muhammadiyah	PROPN
bitcs-6073	21	7	pringsewa	pringsewa	PROPN
bitcs-6073	21	8	university	university	PROPN
bitcs-6073	21	9	,	,	PUNCT
bitcs-6073	21	10	in	in	ADP
bitcs-6073	21	11	the	the	DET
bitcs-6073	21	12	2015	2015	NUM
bitcs-6073	21	13	to	to	ADP
bitcs-6073	21	14	2020	2020	NUM
bitcs-6073	21	15	class	class	NOUN
bitcs-6073	21	16	year	year	NOUN
bitcs-6073	21	17	with	with	ADP
bitcs-6073	21	18	an	an	DET
bitcs-6073	21	19	average	average	ADJ
bitcs-6073	21	20	number	number	NOUN
bitcs-6073	21	21	of	of	ADP
bitcs-6073	21	22	graduates	graduate	NOUN
bitcs-6073	21	23	of	of	ADP
bitcs-6073	21	24	63	63	NUM
bitcs-6073	21	25	%	%	NOUN
bitcs-6073	21	26	,	,	PUNCT
bitcs-6073	21	27	data	datum	NOUN
bitcs-6073	21	28	obtained	obtain	VERB
bitcs-6073	21	29	that	that	SCONJ
bitcs-6073	21	30	the	the	DET
bitcs-6073	21	31	average	average	ADJ
bitcs-6073	21	32	student	student	NOUN
bitcs-6073	21	33	study	study	NOUN
bitcs-6073	21	34	period	period	NOUN
bitcs-6073	21	35	was	be	AUX
bitcs-6073	21	36	p	p	NOUN
bitcs-6073	21	37	-	-	PUNCT
bitcs-6073	21	38	issn	issn	NOUN
bitcs-6073	21	39	:	:	PUNCT
bitcs-6073	21	40	2715	2715	NUM
bitcs-6073	21	41	-	-	SYM
bitcs-6073	21	42	2448	2448	NUM
bitcs-6073	21	43	|	|	NOUN
bitcs-6073	21	44	e	e	NOUN
bitcs-6073	21	45	-	-	NOUN
bitcs-6073	21	46	issn	issn	NOUN
bitcs-6073	21	47	:	:	PUNCT
bitcs-6073	21	48	2715	2715	NUM
bitcs-6073	21	49	-	-	SYM
bitcs-6073	21	50	7199	7199	NUM
bitcs-6073	21	51	vol.5	vol.5	ADV
bitcs-6073	21	52	no.1	no.1	VERB
bitcs-6073	21	53	januari	januari	NOUN
bitcs-6073	21	54	2024	2024	NUM
bitcs-6073	21	55	buana	buana	PROPN
bitcs-6073	21	56	information	information	PROPN
bitcs-6073	21	57	technology	technology	NOUN
bitcs-6073	21	58	and	and	CCONJ
bitcs-6073	21	59	computer	computer	NOUN
bitcs-6073	21	60	sciences	science	NOUN
bitcs-6073	21	61	(	(	PUNCT
bitcs-6073	21	62	bit	bit	NOUN
bitcs-6073	21	63	and	and	CCONJ
bitcs-6073	21	64	cs	cs	ADJ
bitcs-6073	21	65	)	)	PUNCT
bitcs-6073	21	66	vol	vol	NOUN
bitcs-6073	21	67	.	.	PROPN
bitcs-6073	21	68	5	5	NUM
bitcs-6073	21	69	,	,	PUNCT
bitcs-6073	21	70	no.1	no.1	VERB
bitcs-6073	21	71	|	|	ADJ
bitcs-6073	21	72	29	29	NUM
bitcs-6073	21	73	mailto:robynovianto@umpri.ac.id	mailto:robynovianto@umpri.ac.id	PROPN
bitcs-6073	21	74	mailto:bambangtriraharjo@umpri.ac.id	mailto:bambangtriraharjo@umpri.ac.id	PROPN
bitcs-6073	21	75	mailto:baskoro@umpri.ac.id	mailto:baskoro@umpri.ac.id	PROPN
bitcs-6073	21	76	still	still	ADV
bitcs-6073	21	77	over	over	ADP
bitcs-6073	21	78	4	4	NUM
bitcs-6073	21	79	years	year	NOUN
bitcs-6073	22	1	[	[	X
bitcs-6073	22	2	6	6	NUM
bitcs-6073	22	3	]	]	PUNCT
bitcs-6073	22	4	.	.	PUNCT
bitcs-6073	23	1	therefore	therefore	ADV
bitcs-6073	23	2	,	,	PUNCT
bitcs-6073	23	3	it	it	PRON
bitcs-6073	23	4	is	be	AUX
bitcs-6073	23	5	necessary	necessary	ADJ
bitcs-6073	23	6	to	to	PART
bitcs-6073	23	7	try	try	VERB
bitcs-6073	23	8	to	to	PART
bitcs-6073	23	9	analyze	analyze	VERB
bitcs-6073	23	10	the	the	DET
bitcs-6073	23	11	factors	factor	NOUN
bitcs-6073	23	12	that	that	PRON
bitcs-6073	23	13	support	support	VERB
bitcs-6073	23	14	the	the	DET
bitcs-6073	23	15	punctuality	punctuality	NOUN
bitcs-6073	23	16	and	and	CCONJ
bitcs-6073	23	17	delays	delay	NOUN
bitcs-6073	23	18	in	in	ADP
bitcs-6073	23	19	the	the	DET
bitcs-6073	23	20	student	student	NOUN
bitcs-6073	23	21	's	's	PART
bitcs-6073	23	22	study	study	NOUN
bitcs-6073	23	23	period	period	NOUN
bitcs-6073	23	24	.	.	PUNCT
bitcs-6073	24	1	previous	previous	ADJ
bitcs-6073	24	2	research	research	NOUN
bitcs-6073	24	3	related	relate	VERB
bitcs-6073	24	4	to	to	ADP
bitcs-6073	24	5	predicting	predict	VERB
bitcs-6073	24	6	student	student	NOUN
bitcs-6073	24	7	graduation	graduation	NOUN
bitcs-6073	24	8	and	and	CCONJ
bitcs-6073	24	9	classification	classification	NOUN
bitcs-6073	24	10	mostly	mostly	ADV
bitcs-6073	24	11	used	use	VERB
bitcs-6073	24	12	k	k	PROPN
bitcs-6073	24	13	-	-	PUNCT
bitcs-6073	24	14	nn	nn	ADJ
bitcs-6073	24	15	,	,	PUNCT
bitcs-6073	24	16	svm	svm	ADJ
bitcs-6073	24	17	,	,	PUNCT
bitcs-6073	24	18	neural	neural	ADJ
bitcs-6073	24	19	network	network	NOUN
bitcs-6073	24	20	and	and	CCONJ
bitcs-6073	24	21	naive	naive	ADJ
bitcs-6073	24	22	bayes	bayes	NOUN
bitcs-6073	24	23	modes	mode	NOUN
bitcs-6073	24	24	.	.	PUNCT
bitcs-6073	25	1	[	[	X
bitcs-6073	25	2	2],[14	2],[14	NUM
bitcs-6073	25	3	]	]	PUNCT
bitcs-6073	25	4	.	.	PUNCT
bitcs-6073	26	1	on	on	ADP
bitcs-6073	26	2	the	the	DET
bitcs-6073	26	3	other	other	ADJ
bitcs-6073	26	4	hand	hand	NOUN
bitcs-6073	26	5	,	,	PUNCT
bitcs-6073	26	6	many	many	ADJ
bitcs-6073	26	7	previous	previous	ADJ
bitcs-6073	26	8	studies	study	NOUN
bitcs-6073	26	9	have	have	AUX
bitcs-6073	26	10	reviewed	review	VERB
bitcs-6073	26	11	the	the	DET
bitcs-6073	26	12	results	result	NOUN
bitcs-6073	26	13	of	of	ADP
bitcs-6073	26	14	comparative	comparative	ADJ
bitcs-6073	26	15	analyzes	analyze	NOUN
bitcs-6073	26	16	of	of	ADP
bitcs-6073	26	17	several	several	ADJ
bitcs-6073	26	18	data	datum	NOUN
bitcs-6073	26	19	mining	mining	NOUN
bitcs-6073	26	20	models	model	NOUN
bitcs-6073	26	21	used	use	VERB
bitcs-6073	26	22	to	to	PART
bitcs-6073	26	23	classify	classify	VERB
bitcs-6073	26	24	poor	poor	ADJ
bitcs-6073	26	25	people	people	NOUN
bitcs-6073	26	26	[	[	X
bitcs-6073	26	27	1	1	NUM
bitcs-6073	26	28	]	]	PUNCT
bitcs-6073	26	29	,	,	PUNCT
bitcs-6073	26	30	umkm	umkm	ADJ
bitcs-6073	26	31	income	income	NOUN
bitcs-6073	26	32	classification	classification	NOUN
bitcs-6073	26	33	[	[	X
bitcs-6073	26	34	3	3	NUM
bitcs-6073	26	35	]	]	PUNCT
bitcs-6073	26	36	,	,	PUNCT
bitcs-6073	26	37	nutritional	nutritional	ADJ
bitcs-6073	26	38	classification	classification	NOUN
bitcs-6073	26	39	[	[	X
bitcs-6073	26	40	8	8	NUM
bitcs-6073	26	41	]	]	PUNCT
bitcs-6073	26	42	,	,	PUNCT
bitcs-6073	26	43	as	as	ADV
bitcs-6073	26	44	well	well	ADV
bitcs-6073	26	45	as	as	ADP
bitcs-6073	26	46	classifications	classification	NOUN
bitcs-6073	26	47	for	for	ADP
bitcs-6073	26	48	the	the	DET
bitcs-6073	26	49	agricultural	agricultural	ADJ
bitcs-6073	26	50	industry	industry	NOUN
bitcs-6073	26	51	and	and	CCONJ
bitcs-6073	26	52	public	public	ADJ
bitcs-6073	26	53	health	health	NOUN
bitcs-6073	27	1	[	[	X
bitcs-6073	27	2	12	12	NUM
bitcs-6073	27	3	]	]	PUNCT
bitcs-6073	27	4	.	.	PUNCT
bitcs-6073	28	1	this	this	DET
bitcs-6073	28	2	research	research	NOUN
bitcs-6073	28	3	aims	aim	VERB
bitcs-6073	28	4	to	to	PART
bitcs-6073	28	5	classify	classify	VERB
bitcs-6073	28	6	the	the	DET
bitcs-6073	28	7	timeliness	timeliness	NOUN
bitcs-6073	28	8	of	of	ADP
bitcs-6073	28	9	the	the	DET
bitcs-6073	28	10	study	study	NOUN
bitcs-6073	28	11	period	period	NOUN
bitcs-6073	28	12	of	of	ADP
bitcs-6073	28	13	muhammadiyah	muhammadiyah	NOUN
bitcs-6073	28	14	pringsewu	pringsewu	PROPN
bitcs-6073	28	15	university	university	NOUN
bitcs-6073	28	16	students	student	NOUN
bitcs-6073	28	17	by	by	ADP
bitcs-6073	28	18	applying	apply	VERB
bitcs-6073	28	19	three	three	NUM
bitcs-6073	28	20	methods	method	NOUN
bitcs-6073	28	21	,	,	PUNCT
bitcs-6073	28	22	namely	namely	ADV
bitcs-6073	28	23	knn	knn	PROPN
bitcs-6073	28	24	,	,	PUNCT
bitcs-6073	28	25	naive	naive	ADJ
bitcs-6073	28	26	bayes	bayes	NOUN
bitcs-6073	28	27	and	and	CCONJ
bitcs-6073	28	28	decision	decision	NOUN
bitcs-6073	28	29	tree	tree	NOUN
bitcs-6073	28	30	.	.	PUNCT
bitcs-6073	29	1	next	next	ADV
bitcs-6073	29	2	,	,	PUNCT
bitcs-6073	29	3	a	a	DET
bitcs-6073	29	4	comparative	comparative	ADJ
bitcs-6073	29	5	analysis	analysis	NOUN
bitcs-6073	29	6	of	of	ADP
bitcs-6073	29	7	the	the	DET
bitcs-6073	29	8	three	three	NUM
bitcs-6073	29	9	models	model	NOUN
bitcs-6073	29	10	will	will	AUX
bitcs-6073	29	11	be	be	AUX
bitcs-6073	29	12	carried	carry	VERB
bitcs-6073	29	13	out	out	ADP
bitcs-6073	29	14	by	by	ADP
bitcs-6073	29	15	applying	apply	VERB
bitcs-6073	29	16	confusion	confusion	NOUN
bitcs-6073	29	17	matrix	matrix	NOUN
bitcs-6073	29	18	and	and	CCONJ
bitcs-6073	29	19	roc	roc	NOUN
bitcs-6073	29	20	analysis	analysis	NOUN
bitcs-6073	29	21	to	to	PART
bitcs-6073	29	22	ensure	ensure	VERB
bitcs-6073	29	23	the	the	DET
bitcs-6073	29	24	level	level	NOUN
bitcs-6073	29	25	of	of	ADP
bitcs-6073	29	26	accuracy	accuracy	NOUN
bitcs-6073	29	27	of	of	ADP
bitcs-6073	29	28	the	the	DET
bitcs-6073	29	29	three	three	NUM
bitcs-6073	29	30	methods	method	NOUN
bitcs-6073	29	31	.	.	PUNCT
bitcs-6073	30	1	this	this	DET
bitcs-6073	30	2	research	research	NOUN
bitcs-6073	30	3	contribution	contribution	NOUN
bitcs-6073	30	4	really	really	ADV
bitcs-6073	30	5	helps	help	VERB
bitcs-6073	30	6	the	the	DET
bitcs-6073	30	7	management	management	NOUN
bitcs-6073	30	8	of	of	ADP
bitcs-6073	30	9	muhammadiyah	muhammadiyah	NOUN
bitcs-6073	30	10	university	university	PROPN
bitcs-6073	30	11	of	of	ADP
bitcs-6073	30	12	pringsewu	pringsewu	PROPN
bitcs-6073	30	13	to	to	PART
bitcs-6073	30	14	develop	develop	VERB
bitcs-6073	30	15	strategies	strategy	NOUN
bitcs-6073	30	16	to	to	PART
bitcs-6073	30	17	minimize	minimize	VERB
bitcs-6073	30	18	students	student	NOUN
bitcs-6073	30	19	who	who	PRON
bitcs-6073	30	20	are	be	AUX
bitcs-6073	30	21	not	not	PART
bitcs-6073	30	22	on	on	ADP
bitcs-6073	30	23	time	time	NOUN
bitcs-6073	30	24	in	in	ADP
bitcs-6073	30	25	completing	complete	VERB
bitcs-6073	30	26	their	their	PRON
bitcs-6073	30	27	studies	study	NOUN
bitcs-6073	30	28	and	and	CCONJ
bitcs-6073	30	29	contributes	contribute	VERB
bitcs-6073	30	30	to	to	ADP
bitcs-6073	30	31	determining	determine	VERB
bitcs-6073	30	32	the	the	DET
bitcs-6073	30	33	accuracy	accuracy	NOUN
bitcs-6073	30	34	performance	performance	NOUN
bitcs-6073	30	35	of	of	ADP
bitcs-6073	30	36	several	several	ADJ
bitcs-6073	30	37	data	datum	NOUN
bitcs-6073	30	38	mining	mining	NOUN
bitcs-6073	30	39	methods	method	NOUN
bitcs-6073	30	40	,	,	PUNCT
bitcs-6073	30	41	including	include	VERB
bitcs-6073	30	42	knn	knn	PROPN
bitcs-6073	30	43	,	,	PUNCT
bitcs-6073	30	44	naive	naive	ADJ
bitcs-6073	30	45	bayes	bayes	NOUN
bitcs-6073	30	46	and	and	CCONJ
bitcs-6073	30	47	decision	decision	NOUN
bitcs-6073	30	48	tree	tree	NOUN
bitcs-6073	30	49	.	.	PUNCT
bitcs-6073	31	1	ii	ii	PROPN
bitcs-6073	31	2	.	.	PUNCT
bitcs-6073	32	1	methods	method	NOUN
bitcs-6073	32	2	1	1	NUM
bitcs-6073	32	3	.	.	PUNCT
bitcs-6073	32	4	research	research	NOUN
bitcs-6073	32	5	flow	flow	NOUN
bitcs-6073	32	6	this	this	DET
bitcs-6073	32	7	research	research	NOUN
bitcs-6073	32	8	aims	aim	VERB
bitcs-6073	32	9	to	to	PART
bitcs-6073	32	10	carry	carry	VERB
bitcs-6073	32	11	out	out	ADP
bitcs-6073	32	12	a	a	DET
bitcs-6073	32	13	comparative	comparative	ADJ
bitcs-6073	32	14	analysis	analysis	NOUN
bitcs-6073	32	15	of	of	ADP
bitcs-6073	32	16	the	the	DET
bitcs-6073	32	17	knn	knn	PROPN
bitcs-6073	32	18	,	,	PUNCT
bitcs-6073	32	19	naive	naive	ADJ
bitcs-6073	32	20	bayes	bayes	NOUN
bitcs-6073	32	21	and	and	CCONJ
bitcs-6073	32	22	decision	decision	NOUN
bitcs-6073	32	23	tree	tree	NOUN
bitcs-6073	32	24	methods	method	NOUN
bitcs-6073	32	25	used	use	VERB
bitcs-6073	32	26	to	to	PART
bitcs-6073	32	27	classify	classify	VERB
bitcs-6073	32	28	graduating	graduate	VERB
bitcs-6073	32	29	students	student	NOUN
bitcs-6073	32	30	at	at	ADP
bitcs-6073	32	31	muhammadiyah	muhammadiyah	NOUN
bitcs-6073	32	32	university	university	PROPN
bitcs-6073	32	33	of	of	ADP
bitcs-6073	32	34	pringsewu	pringsewu	PROPN
bitcs-6073	32	35	.	.	PUNCT
bitcs-6073	33	1	the	the	DET
bitcs-6073	33	2	application	application	NOUN
bitcs-6073	33	3	used	use	VERB
bitcs-6073	33	4	for	for	ADP
bitcs-6073	33	5	the	the	DET
bitcs-6073	33	6	simulation	simulation	NOUN
bitcs-6073	33	7	is	be	AUX
bitcs-6073	33	8	orange	orange	PROPN
bitcs-6073	33	9	data	data	PROPN
bitcs-6073	33	10	mining	mining	NOUN
bitcs-6073	33	11	,	,	PUNCT
bitcs-6073	33	12	an	an	DET
bitcs-6073	33	13	open	open	ADJ
bitcs-6073	33	14	source	source	NOUN
bitcs-6073	33	15	data	datum	NOUN
bitcs-6073	33	16	mining	mining	NOUN
bitcs-6073	33	17	application	application	NOUN
bitcs-6073	33	18	that	that	PRON
bitcs-6073	33	19	has	have	AUX
bitcs-6073	33	20	been	be	AUX
bitcs-6073	33	21	proven	prove	VERB
bitcs-6073	33	22	to	to	PART
bitcs-6073	33	23	be	be	AUX
bitcs-6073	33	24	able	able	ADJ
bitcs-6073	33	25	to	to	PART
bitcs-6073	33	26	help	help	VERB
bitcs-6073	33	27	researchers	researcher	NOUN
bitcs-6073	33	28	analyze	analyze	VERB
bitcs-6073	33	29	their	their	PRON
bitcs-6073	33	30	data	datum	NOUN
bitcs-6073	33	31	.	.	PUNCT
bitcs-6073	34	1	the	the	DET
bitcs-6073	34	2	process	process	NOUN
bitcs-6073	34	3	stages	stage	VERB
bitcs-6073	34	4	in	in	ADP
bitcs-6073	34	5	this	this	DET
bitcs-6073	34	6	research	research	NOUN
bitcs-6073	34	7	can	can	AUX
bitcs-6073	34	8	be	be	AUX
bitcs-6073	34	9	seen	see	VERB
bitcs-6073	34	10	in	in	ADP
bitcs-6073	34	11	figure	figure	NOUN
bitcs-6073	34	12	1	1	NUM
bitcs-6073	34	13	.	.	PUNCT
bitcs-6073	34	14	figure	figure	VERB
bitcs-6073	34	15	1	1	NUM
bitcs-6073	34	16	research	research	NOUN
bitcs-6073	34	17	flow	flow	NOUN
bitcs-6073	34	18	according	accord	VERB
bitcs-6073	34	19	to	to	PART
bitcs-6073	34	20	figure	figure	NOUN
bitcs-6073	34	21	1	1	NUM
bitcs-6073	34	22	,	,	PUNCT
bitcs-6073	34	23	the	the	DET
bitcs-6073	34	24	first	first	ADJ
bitcs-6073	34	25	step	step	NOUN
bitcs-6073	34	26	is	be	AUX
bitcs-6073	34	27	problem	problem	NOUN
bitcs-6073	34	28	identification	identification	NOUN
bitcs-6073	34	29	,	,	PUNCT
bitcs-6073	34	30	formulation	formulation	NOUN
bitcs-6073	34	31	and	and	CCONJ
bitcs-6073	34	32	literature	literature	NOUN
bitcs-6073	34	33	review	review	PROPN
bitcs-6073	34	34	.	.	PUNCT
bitcs-6073	35	1	this	this	PRON
bitcs-6073	35	2	is	be	AUX
bitcs-6073	35	3	done	do	VERB
bitcs-6073	35	4	first	first	ADV
bitcs-6073	35	5	to	to	PART
bitcs-6073	35	6	develop	develop	VERB
bitcs-6073	35	7	research	research	NOUN
bitcs-6073	35	8	objectives	objective	NOUN
bitcs-6073	35	9	and	and	CCONJ
bitcs-6073	35	10	research	research	NOUN
bitcs-6073	35	11	contributions	contribution	NOUN
bitcs-6073	35	12	[	[	X
bitcs-6073	35	13	10	10	NUM
bitcs-6073	35	14	]	]	PUNCT
bitcs-6073	35	15	.	.	PUNCT
bitcs-6073	36	1	second	second	ADJ
bitcs-6073	36	2	is	be	AUX
bitcs-6073	36	3	the	the	DET
bitcs-6073	36	4	process	process	NOUN
bitcs-6073	36	5	of	of	ADP
bitcs-6073	36	6	collecting	collect	VERB
bitcs-6073	36	7	data	datum	NOUN
bitcs-6073	36	8	,	,	PUNCT
bitcs-6073	36	9	namely	namely	ADV
bitcs-6073	36	10	compiling	compile	VERB
bitcs-6073	36	11	training	training	NOUN
bitcs-6073	36	12	data	datum	NOUN
bitcs-6073	36	13	and	and	CCONJ
bitcs-6073	36	14	test	test	NOUN
bitcs-6073	36	15	data	datum	NOUN
bitcs-6073	36	16	as	as	ADP
bitcs-6073	36	17	a	a	DET
bitcs-6073	36	18	source	source	NOUN
bitcs-6073	36	19	of	of	ADP
bitcs-6073	36	20	data	datum	NOUN
bitcs-6073	36	21	classification	classification	NOUN
bitcs-6073	36	22	.	.	PUNCT
bitcs-6073	37	1	third	third	ADJ
bitcs-6073	37	2	is	be	AUX
bitcs-6073	37	3	the	the	DET
bitcs-6073	37	4	process	process	NOUN
bitcs-6073	37	5	of	of	ADP
bitcs-6073	37	6	designing	design	VERB
bitcs-6073	37	7	the	the	DET
bitcs-6073	37	8	orange	orange	PROPN
bitcs-6073	37	9	data	data	PROPN
bitcs-6073	37	10	mining	mining	NOUN
bitcs-6073	37	11	widget	widget	NOUN
bitcs-6073	37	12	for	for	ADP
bitcs-6073	37	13	the	the	DET
bitcs-6073	37	14	student	student	NOUN
bitcs-6073	37	15	graduation	graduation	NOUN
bitcs-6073	37	16	classification	classification	NOUN
bitcs-6073	37	17	process	process	NOUN
bitcs-6073	37	18	and	and	CCONJ
bitcs-6073	37	19	method	method	ADJ
bitcs-6073	37	20	comparison	comparison	NOUN
bitcs-6073	37	21	.	.	PUNCT
bitcs-6073	38	1	fourth	fourth	ADJ
bitcs-6073	38	2	is	be	AUX
bitcs-6073	38	3	the	the	DET
bitcs-6073	38	4	process	process	NOUN
bitcs-6073	38	5	of	of	ADP
bitcs-6073	38	6	classifying	classify	VERB
bitcs-6073	38	7	graduating	graduate	VERB
bitcs-6073	38	8	students	student	NOUN
bitcs-6073	38	9	from	from	ADP
bitcs-6073	38	10	muhammadiyah	muhammadiyah	NOUN
bitcs-6073	38	11	university	university	NOUN
bitcs-6073	38	12	of	of	ADP
bitcs-6073	38	13	pringsewu	pringsewu	PROPN
bitcs-6073	38	14	using	use	VERB
bitcs-6073	38	15	the	the	DET
bitcs-6073	38	16	knn	knn	PROPN
bitcs-6073	38	17	,	,	PUNCT
bitcs-6073	38	18	decision	decision	NOUN
bitcs-6073	38	19	tree	tree	NOUN
bitcs-6073	38	20	and	and	CCONJ
bitcs-6073	38	21	naive	naive	ADJ
bitcs-6073	38	22	bayes	bayes	NOUN
bitcs-6073	38	23	models	model	NOUN
bitcs-6073	38	24	.	.	PUNCT
bitcs-6073	39	1	fifth	fifth	ADJ
bitcs-6073	39	2	is	be	AUX
bitcs-6073	39	3	the	the	DET
bitcs-6073	39	4	process	process	NOUN
bitcs-6073	39	5	of	of	ADP
bitcs-6073	39	6	evaluating	evaluate	VERB
bitcs-6073	39	7	the	the	DET
bitcs-6073	39	8	performance	performance	NOUN
bitcs-6073	39	9	of	of	ADP
bitcs-6073	39	10	classification	classification	NOUN
bitcs-6073	39	11	methods	method	NOUN
bitcs-6073	39	12	and	and	CCONJ
bitcs-6073	39	13	analyzing	analyze	VERB
bitcs-6073	39	14	the	the	DET
bitcs-6073	39	15	comparison	comparison	NOUN
bitcs-6073	39	16	results	result	NOUN
bitcs-6073	39	17	of	of	ADP
bitcs-6073	39	18	these	these	DET
bitcs-6073	39	19	methods	method	NOUN
bitcs-6073	39	20	.	.	PUNCT
bitcs-6073	40	1	a.	a.	NOUN
bitcs-6073	41	1	k	k	ADV
bitcs-6073	41	2	-	-	PUNCT
bitcs-6073	41	3	nearest	near	ADJ
bitcs-6073	41	4	neighbor	neighbor	NOUN
bitcs-6073	41	5	(	(	PUNCT
bitcs-6073	41	6	k	k	NOUN
bitcs-6073	41	7	-	-	PUNCT
bitcs-6073	41	8	nn	nn	ADJ
bitcs-6073	41	9	)	)	PUNCT
bitcs-6073	41	10	k	k	NOUN
bitcs-6073	41	11	-	-	PUNCT
bitcs-6073	41	12	nearest	near	ADJ
bitcs-6073	41	13	neighbor	neighbor	NOUN
bitcs-6073	41	14	(	(	PUNCT
bitcs-6073	41	15	k	k	NOUN
bitcs-6073	41	16	-	-	PUNCT
bitcs-6073	41	17	nn	nn	NOUN
bitcs-6073	41	18	)	)	PUNCT
bitcs-6073	41	19	is	be	AUX
bitcs-6073	41	20	a	a	DET
bitcs-6073	41	21	supervised	supervised	ADJ
bitcs-6073	41	22	method	method	NOUN
bitcs-6073	41	23	which	which	PRON
bitcs-6073	41	24	means	mean	VERB
bitcs-6073	41	25	it	it	PRON
bitcs-6073	41	26	requires	require	VERB
bitcs-6073	41	27	training	train	VERB
bitcs-6073	41	28	information	information	NOUN
bitcs-6073	41	29	to	to	PART
bitcs-6073	41	30	classify	classify	VERB
bitcs-6073	41	31	objects	object	NOUN
bitcs-6073	41	32	that	that	PRON
bitcs-6073	41	33	are	be	AUX
bitcs-6073	41	34	very	very	ADV
bitcs-6073	41	35	close	close	ADJ
bitcs-6073	41	36	.	.	PUNCT
bitcs-6073	42	1	the	the	DET
bitcs-6073	42	2	working	work	VERB
bitcs-6073	42	3	principle	principle	NOUN
bitcs-6073	42	4	of	of	ADP
bitcs-6073	42	5	k	k	PROPN
bitcs-6073	42	6	-	-	PUNCT
bitcs-6073	42	7	nn	nn	PROPN
bitcs-6073	42	8	is	be	AUX
bitcs-6073	42	9	to	to	PART
bitcs-6073	42	10	find	find	VERB
bitcs-6073	42	11	the	the	DET
bitcs-6073	42	12	shortest	short	ADJ
bitcs-6073	42	13	distance	distance	NOUN
bitcs-6073	42	14	between	between	ADP
bitcs-6073	42	15	the	the	DET
bitcs-6073	42	16	information	information	NOUN
bitcs-6073	42	17	to	to	PART
bitcs-6073	42	18	be	be	AUX
bitcs-6073	42	19	evaluated	evaluate	VERB
bitcs-6073	42	20	and	and	CCONJ
bitcs-6073	42	21	k	k	PROPN
bitcs-6073	42	22	neighbors	neighbor	NOUN
bitcs-6073	42	23	in	in	ADP
bitcs-6073	42	24	the	the	DET
bitcs-6073	42	25	training	training	NOUN
bitcs-6073	42	26	data	datum	NOUN
bitcs-6073	42	27	[	[	X
bitcs-6073	42	28	11	11	NUM
bitcs-6073	42	29	]	]	PUNCT
bitcs-6073	42	30	.	.	PUNCT
bitcs-6073	43	1	the	the	DET
bitcs-6073	43	2	dataset	dataset	NOUN
bitcs-6073	43	3	is	be	AUX
bitcs-6073	43	4	grouped	group	VERB
bitcs-6073	43	5	manually	manually	ADV
bitcs-6073	43	6	according	accord	VERB
bitcs-6073	43	7	to	to	ADP
bitcs-6073	43	8	the	the	DET
bitcs-6073	43	9	type	type	NOUN
bitcs-6073	43	10	of	of	ADP
bitcs-6073	43	11	student	student	NOUN
bitcs-6073	43	12	data	datum	NOUN
bitcs-6073	43	13	pringsewu	pringsewu	PROPN
bitcs-6073	43	14	muhammadiyah	muhammadiyah	ADP
bitcs-6073	43	15	university	university	PROPN
bitcs-6073	43	16	.	.	PUNCT
bitcs-6073	44	1	the	the	DET
bitcs-6073	44	2	dataset	dataset	NOUN
bitcs-6073	44	3	used	use	VERB
bitcs-6073	44	4	as	as	ADP
bitcs-6073	44	5	a	a	DET
bitcs-6073	44	6	reference	reference	NOUN
bitcs-6073	44	7	is	be	AUX
bitcs-6073	44	8	35	35	NUM
bitcs-6073	44	9	student	student	NOUN
bitcs-6073	44	10	data	datum	NOUN
bitcs-6073	44	11	for	for	ADP
bitcs-6073	44	12	which	which	PRON
bitcs-6073	44	13	the	the	DET
bitcs-6073	44	14	classification	classification	NOUN
bitcs-6073	44	15	model	model	NOUN
bitcs-6073	44	16	will	will	AUX
bitcs-6073	44	17	be	be	AUX
bitcs-6073	44	18	tested	test	VERB
bitcs-6073	44	19	.	.	PUNCT
bitcs-6073	45	1	next	next	ADV
bitcs-6073	45	2	,	,	PUNCT
bitcs-6073	45	3	the	the	DET
bitcs-6073	45	4	formula	formula	NOUN
bitcs-6073	45	5	calculates	calculate	VERB
bitcs-6073	45	6	the	the	DET
bitcs-6073	45	7	similarity	similarity	NOUN
bitcs-6073	45	8	of	of	ADP
bitcs-6073	45	9	the	the	DET
bitcs-6073	45	10	dataset	dataset	ADJ
bitcs-6073	45	11	vector	vector	NOUN
bitcs-6073	45	12	to	to	ADP
bitcs-6073	45	13	each	each	DET
bitcs-6073	45	14	training	training	NOUN
bitcs-6073	45	15	dataset	dataset	NOUN
bitcs-6073	45	16	that	that	PRON
bitcs-6073	45	17	has	have	AUX
bitcs-6073	45	18	been	be	AUX
bitcs-6073	45	19	classified	classify	VERB
bitcs-6073	45	20	.	.	PUNCT
bitcs-6073	46	1	the	the	DET
bitcs-6073	46	2	k	k	PROPN
bitcs-6073	46	3	-	-	PUNCT
bitcs-6073	46	4	nn	nn	X
bitcs-6073	46	5	theorem	theorem	NOUN
bitcs-6073	46	6	for	for	ADP
bitcs-6073	46	7	calculating	calculate	VERB
bitcs-6073	46	8	distance	distance	NOUN
bitcs-6073	46	9	universally	universally	ADV
bitcs-6073	46	10	is	be	AUX
bitcs-6073	46	11	as	as	SCONJ
bitcs-6073	46	12	follows	follow	VERB
bitcs-6073	46	13	:	:	PUNCT
bitcs-6073	46	14	𝑑𝑖	𝑑𝑖	PROPN
bitcs-6073	46	15	=	=	SYM
bitcs-6073	46	16	√∑(𝑥1𝑗	√∑(𝑥1𝑗	PROPN
bitcs-6073	46	17	−	−	PROPN
bitcs-6073	46	18	𝑛	𝑛	PRON
bitcs-6073	46	19	𝑖=1	𝑖=1	PROPN
bitcs-6073	46	20	𝑝𝑗	𝑝𝑗	NOUN
bitcs-6073	46	21	)	)	PUNCT
bitcs-6073	46	22	2	2	NUM
bitcs-6073	46	23	problem	problem	NOUN
bitcs-6073	46	24	identification	identification	NOUN
bitcs-6073	46	25	,	,	PUNCT
bitcs-6073	46	26	problem	problem	NOUN
bitcs-6073	46	27	formulation	formulation	NOUN
bitcs-6073	46	28	and	and	CCONJ
bitcs-6073	46	29	literature	literature	NOUN
bitcs-6073	46	30	review	review	PROPN
bitcs-6073	46	31	dataset	dataset	VERB
bitcs-6073	46	32	orange	orange	PROPN
bitcs-6073	46	33	data	data	PROPN
bitcs-6073	46	34	mining	mining	NOUN
bitcs-6073	46	35	design	design	NOUN
bitcs-6073	46	36	classification	classification	NOUN
bitcs-6073	46	37	process	process	NOUN
bitcs-6073	46	38	using	use	VERB
bitcs-6073	46	39	knn	knn	PROPN
bitcs-6073	46	40	,	,	PUNCT
bitcs-6073	46	41	naive	naive	ADJ
bitcs-6073	46	42	bayes	bayes	NOUN
bitcs-6073	46	43	and	and	CCONJ
bitcs-6073	46	44	decision	decision	NOUN
bitcs-6073	46	45	tree	tree	NOUN
bitcs-6073	46	46	methods	method	NOUN
bitcs-6073	46	47	evaluation	evaluation	NOUN
bitcs-6073	46	48	of	of	ADP
bitcs-6073	46	49	classification	classification	NOUN
bitcs-6073	46	50	performance	performance	NOUN
bitcs-6073	46	51	and	and	CCONJ
bitcs-6073	46	52	method	method	VERB
bitcs-6073	46	53	comparison	comparison	NOUN
bitcs-6073	46	54	results	result	VERB
bitcs-6073	46	55	vol	vol	NOUN
bitcs-6073	46	56	.	.	PROPN
bitcs-6073	46	57	5	5	NUM
bitcs-6073	46	58	,	,	PUNCT
bitcs-6073	46	59	no.1	no.1	X
bitcs-6073	46	60	|	|	NOUN
bitcs-6073	46	61	30	30	NUM
bitcs-6073	46	62	information	information	NOUN
bitcs-6073	46	63	:	:	PUNCT
bitcs-6073	46	64	di	di	NOUN
bitcs-6073	46	65	=	=	NOUN
bitcs-6073	46	66	sample	sample	NOUN
bitcs-6073	46	67	distance	distance	NOUN
bitcs-6073	46	68	xij	xij	NOUN
bitcs-6073	47	1	=	=	PUNCT
bitcs-6073	47	2	knowledge	knowledge	NOUN
bitcs-6073	47	3	sample	sample	NOUN
bitcs-6073	47	4	data	datum	NOUN
bitcs-6073	47	5	pj	pj	PROPN
bitcs-6073	47	6	=	=	PROPN
bitcs-6073	47	7	data	datum	NOUN
bitcs-6073	47	8	input	input	NOUN
bitcs-6073	47	9	var	var	PROPN
bitcs-6073	47	10	ke	ke	PROPN
bitcs-6073	47	11	-	-	PUNCT
bitcs-6073	47	12	j	j	PROPN
bitcs-6073	47	13	n	n	CCONJ
bitcs-6073	47	14	=	=	NOUN
bitcs-6073	47	15	number	number	NOUN
bitcs-6073	47	16	of	of	ADP
bitcs-6073	47	17	samples	sample	NOUN
bitcs-6073	47	18	the	the	DET
bitcs-6073	47	19	stages	stage	NOUN
bitcs-6073	47	20	of	of	ADP
bitcs-6073	47	21	the	the	DET
bitcs-6073	47	22	process	process	NOUN
bitcs-6073	47	23	of	of	ADP
bitcs-6073	47	24	implementing	implement	VERB
bitcs-6073	47	25	the	the	DET
bitcs-6073	47	26	k	k	PROPN
bitcs-6073	47	27	-	-	PUNCT
bitcs-6073	47	28	nn	nn	PROPN
bitcs-6073	47	29	method	method	NOUN
bitcs-6073	47	30	are	be	AUX
bitcs-6073	47	31	as	as	SCONJ
bitcs-6073	47	32	follows	follow	VERB
bitcs-6073	47	33	:	:	PUNCT
bitcs-6073	47	34	1	1	X
bitcs-6073	47	35	)	)	PUNCT
bitcs-6073	47	36	determine	determine	VERB
bitcs-6073	47	37	the	the	DET
bitcs-6073	47	38	parameter	parameter	NOUN
bitcs-6073	47	39	k	k	PROPN
bitcs-6073	47	40	(	(	PUNCT
bitcs-6073	47	41	number	number	NOUN
bitcs-6073	47	42	of	of	ADP
bitcs-6073	47	43	closest	close	ADJ
bitcs-6073	47	44	neighbors	neighbor	NOUN
bitcs-6073	47	45	)	)	PUNCT
bitcs-6073	47	46	.	.	PUNCT
bitcs-6073	48	1	2	2	X
bitcs-6073	48	2	)	)	PUNCT
bitcs-6073	48	3	calculates	calculate	VERB
bitcs-6073	48	4	the	the	DET
bitcs-6073	48	5	square	square	NOUN
bitcs-6073	48	6	of	of	ADP
bitcs-6073	48	7	the	the	DET
bitcs-6073	48	8	object	object	NOUN
bitcs-6073	48	9	's	's	PART
bitcs-6073	48	10	euclidean	euclidean	ADJ
bitcs-6073	48	11	distance	distance	NOUN
bitcs-6073	48	12	to	to	ADP
bitcs-6073	48	13	the	the	DET
bitcs-6073	48	14	given	give	VERB
bitcs-6073	48	15	training	training	NOUN
bitcs-6073	48	16	data	datum	NOUN
bitcs-6073	48	17	.	.	PUNCT
bitcs-6073	49	1	3	3	X
bitcs-6073	49	2	)	)	PUNCT
bitcs-6073	49	3	sort	sort	NOUN
bitcs-6073	49	4	result	result	VERB
bitcs-6073	49	5	number	number	NOUN
bitcs-6073	49	6	2	2	NUM
bitcs-6073	49	7	in	in	ADP
bitcs-6073	49	8	ascending	ascend	VERB
bitcs-6073	49	9	order	order	NOUN
bitcs-6073	49	10	(	(	PUNCT
bitcs-6073	49	11	in	in	ADP
bitcs-6073	49	12	order	order	NOUN
bitcs-6073	49	13	from	from	ADP
bitcs-6073	49	14	high	high	ADJ
bitcs-6073	49	15	to	to	PART
bitcs-6073	49	16	low	low	ADJ
bitcs-6073	49	17	)	)	PUNCT
bitcs-6073	49	18	4	4	NUM
bitcs-6073	49	19	)	)	PUNCT
bitcs-6073	49	20	collecting	collect	VERB
bitcs-6073	49	21	y	y	PROPN
bitcs-6073	49	22	categories	category	NOUN
bitcs-6073	49	23	(	(	PUNCT
bitcs-6073	49	24	nearest	near	ADJ
bitcs-6073	49	25	neighbor	neighbor	NOUN
bitcs-6073	49	26	classification	classification	NOUN
bitcs-6073	49	27	based	base	VERB
bitcs-6073	49	28	on	on	ADP
bitcs-6073	49	29	k	k	PROPN
bitcs-6073	49	30	value	value	NOUN
bitcs-6073	49	31	)	)	PUNCT
bitcs-6073	49	32	5	5	NUM
bitcs-6073	49	33	)	)	PUNCT
bitcs-6073	49	34	by	by	ADP
bitcs-6073	49	35	using	use	VERB
bitcs-6073	49	36	the	the	DET
bitcs-6073	49	37	nearest	near	ADJ
bitcs-6073	49	38	neighbor	neighbor	NOUN
bitcs-6073	49	39	category	category	NOUN
bitcs-6073	49	40	with	with	ADP
bitcs-6073	49	41	the	the	DET
bitcs-6073	49	42	majority	majority	NOUN
bitcs-6073	49	43	,	,	PUNCT
bitcs-6073	49	44	the	the	DET
bitcs-6073	49	45	object	object	NOUN
bitcs-6073	49	46	category	category	NOUN
bitcs-6073	49	47	can	can	AUX
bitcs-6073	49	48	be	be	AUX
bitcs-6073	49	49	predicted	predict	VERB
bitcs-6073	49	50	.	.	PUNCT
bitcs-6073	50	1	b.	b.	PROPN
bitcs-6073	50	2	decision	decision	NOUN
bitcs-6073	50	3	tree	tree	NOUN
bitcs-6073	50	4	(	(	PUNCT
bitcs-6073	50	5	c4.5	c4.5	NOUN
bitcs-6073	50	6	)	)	PUNCT
bitcs-6073	50	7	decision	decision	NOUN
bitcs-6073	50	8	tree	tree	NOUN
bitcs-6073	50	9	based	base	VERB
bitcs-6073	50	10	on	on	ADP
bitcs-6073	50	11	c4.5	c4.5	PROPN
bitcs-6073	50	12	algorithm	algorithm	NOUN
bitcs-6073	50	13	is	be	AUX
bitcs-6073	50	14	a	a	DET
bitcs-6073	50	15	commonly	commonly	ADV
bitcs-6073	50	16	used	use	VERB
bitcs-6073	50	17	classification	classification	NOUN
bitcs-6073	50	18	technique	technique	NOUN
bitcs-6073	50	19	to	to	PART
bitcs-6073	50	20	extract	extract	VERB
bitcs-6073	50	21	relevant	relevant	ADJ
bitcs-6073	50	22	relationships	relationship	NOUN
bitcs-6073	50	23	in	in	ADP
bitcs-6073	50	24	data	datum	NOUN
bitcs-6073	50	25	.	.	PUNCT
bitcs-6073	51	1	the	the	DET
bitcs-6073	51	2	c4.5	c4.5	PROPN
bitcs-6073	51	3	algorithm	algorithm	NOUN
bitcs-6073	51	4	is	be	AUX
bitcs-6073	51	5	a	a	DET
bitcs-6073	51	6	program	program	NOUN
bitcs-6073	51	7	that	that	PRON
bitcs-6073	51	8	creates	create	VERB
bitcs-6073	51	9	a	a	DET
bitcs-6073	51	10	decision	decision	NOUN
bitcs-6073	51	11	tree	tree	NOUN
bitcs-6073	51	12	based	base	VERB
bitcs-6073	51	13	on	on	ADP
bitcs-6073	51	14	a	a	DET
bitcs-6073	51	15	labeled	label	VERB
bitcs-6073	51	16	input	input	NOUN
bitcs-6073	51	17	data	datum	NOUN
bitcs-6073	51	18	set	set	VERB
bitcs-6073	51	19	.	.	PUNCT
bitcs-6073	52	1	the	the	DET
bitcs-6073	52	2	advantage	advantage	NOUN
bitcs-6073	52	3	is	be	AUX
bitcs-6073	52	4	that	that	SCONJ
bitcs-6073	52	5	the	the	DET
bitcs-6073	52	6	model	model	NOUN
bitcs-6073	52	7	can	can	AUX
bitcs-6073	52	8	be	be	AUX
bitcs-6073	52	9	easily	easily	ADV
bitcs-6073	52	10	interpreted	interpret	VERB
bitcs-6073	52	11	and	and	CCONJ
bitcs-6073	52	12	implemented	implement	VERB
bitcs-6073	52	13	with	with	ADP
bitcs-6073	52	14	both	both	CCONJ
bitcs-6073	52	15	continuous	continuous	ADJ
bitcs-6073	52	16	and	and	CCONJ
bitcs-6073	52	17	discrete	discrete	ADJ
bitcs-6073	52	18	values	value	NOUN
bitcs-6073	52	19	.	.	PUNCT
bitcs-6073	53	1	the	the	DET
bitcs-6073	53	2	c4.5	c4.5	PROPN
bitcs-6073	53	3	algorithm	algorithm	NOUN
bitcs-6073	53	4	divides	divide	VERB
bitcs-6073	53	5	training	training	NOUN
bitcs-6073	53	6	data	datum	NOUN
bitcs-6073	53	7	with	with	ADP
bitcs-6073	53	8	the	the	DET
bitcs-6073	53	9	help	help	NOUN
bitcs-6073	53	10	of	of	ADP
bitcs-6073	53	11	information	information	NOUN
bitcs-6073	53	12	acquisition	acquisition	NOUN
bitcs-6073	53	13	[	[	X
bitcs-6073	53	14	17	17	NUM
bitcs-6073	53	15	]	]	PUNCT
bitcs-6073	53	16	.	.	PUNCT
bitcs-6073	54	1	attributes	attribute	NOUN
bitcs-6073	54	2	that	that	PRON
bitcs-6073	54	3	have	have	VERB
bitcs-6073	54	4	high	high	ADJ
bitcs-6073	54	5	frequencies	frequency	NOUN
bitcs-6073	54	6	are	be	AUX
bitcs-6073	54	7	considered	consider	VERB
bitcs-6073	54	8	to	to	PART
bitcs-6073	54	9	separate	separate	VERB
bitcs-6073	54	10	data	datum	NOUN
bitcs-6073	54	11	based	base	VERB
bitcs-6073	54	12	on	on	ADP
bitcs-6073	54	13	the	the	DET
bitcs-6073	54	14	information	information	NOUN
bitcs-6073	54	15	available	available	ADJ
bitcs-6073	54	16	in	in	ADP
bitcs-6073	54	17	the	the	DET
bitcs-6073	54	18	dataset	dataset	NOUN
bitcs-6073	54	19	.	.	PUNCT
bitcs-6073	55	1	when	when	SCONJ
bitcs-6073	55	2	calculating	calculate	VERB
bitcs-6073	55	3	the	the	DET
bitcs-6073	55	4	gain	gain	NOUN
bitcs-6073	55	5	value	value	NOUN
bitcs-6073	55	6	,	,	PUNCT
bitcs-6073	55	7	you	you	PRON
bitcs-6073	55	8	need	need	VERB
bitcs-6073	55	9	to	to	PART
bitcs-6073	55	10	know	know	VERB
bitcs-6073	55	11	the	the	DET
bitcs-6073	55	12	entropy	entropy	NOUN
bitcs-6073	55	13	value	value	NOUN
bitcs-6073	55	14	,	,	PUNCT
bitcs-6073	55	15	namely	namely	ADV
bitcs-6073	55	16	using	use	VERB
bitcs-6073	55	17	the	the	DET
bitcs-6073	55	18	following	follow	VERB
bitcs-6073	55	19	formula	formula	NOUN
bitcs-6073	55	20	:	:	PUNCT
bitcs-6073	55	21	𝐸𝑛𝑡𝑟𝑜𝑝𝑦	𝐸𝑛𝑡𝑟𝑜𝑝𝑦	NOUN
bitcs-6073	55	22	(	(	PUNCT
bitcs-6073	55	23	𝑖	𝑖	NOUN
bitcs-6073	55	24	)	)	PUNCT
bitcs-6073	55	25	=	=	SYM
bitcs-6073	56	1	𝑓(𝑖	𝑓(𝑖	PROPN
bitcs-6073	56	2	,	,	PUNCT
bitcs-6073	56	3	𝑗	𝑗	NOUN
bitcs-6073	56	4	)	)	PUNCT
bitcs-6073	56	5	.	.	PUNCT
bitcs-6073	57	1	2𝑓	2𝑓	NOUN
bitcs-6073	58	1	[	[	X
bitcs-6073	58	2	(	(	PUNCT
bitcs-6073	58	3	𝑖	𝑖	SYM
bitcs-6073	58	4	,	,	PUNCT
bitcs-6073	58	5	𝑗	𝑗	NOUN
bitcs-6073	58	6	)	)	PUNCT
bitcs-6073	58	7	]	]	PUNCT
bitcs-6073	58	8	1	1	X
bitcs-6073	58	9	)	)	PUNCT
bitcs-6073	58	10	gain	gain	NOUN
bitcs-6073	58	11	value	value	NOUN
bitcs-6073	58	12	using	use	VERB
bitcs-6073	58	13	the	the	DET
bitcs-6073	58	14	formula	formula	NOUN
bitcs-6073	58	15	:	:	PUNCT
bitcs-6073	58	16	𝑔𝑎𝑖𝑛	𝑔𝑎𝑖𝑛	NOUN
bitcs-6073	58	17	=	=	PUNCT
bitcs-6073	58	18	−	−	PROPN
bitcs-6073	58	19	.	.	PUNCT
bitcs-6073	59	1	𝐼𝐸	𝐼𝐸	PROPN
bitcs-6073	59	2	(	(	PUNCT
bitcs-6073	59	3	𝑖	𝑖	NOUN
bitcs-6073	59	4	)	)	PUNCT
bitcs-6073	59	5	2	2	NUM
bitcs-6073	59	6	)	)	PUNCT
bitcs-6073	59	7	to	to	PART
bitcs-6073	59	8	calculate	calculate	VERB
bitcs-6073	59	9	the	the	DET
bitcs-6073	59	10	gain	gain	NOUN
bitcs-6073	59	11	ratio	ratio	NOUN
bitcs-6073	59	12	,	,	PUNCT
bitcs-6073	59	13	you	you	PRON
bitcs-6073	59	14	need	need	VERB
bitcs-6073	59	15	to	to	PART
bitcs-6073	59	16	know	know	VERB
bitcs-6073	59	17	a	a	DET
bitcs-6073	59	18	new	new	ADJ
bitcs-6073	59	19	term	term	NOUN
bitcs-6073	59	20	called	call	VERB
bitcs-6073	59	21	split	split	ADJ
bitcs-6073	59	22	information	information	NOUN
bitcs-6073	59	23	with	with	ADP
bitcs-6073	59	24	the	the	DET
bitcs-6073	59	25	formula	formula	NOUN
bitcs-6073	59	26	:	:	PUNCT
bitcs-6073	59	27	𝑆𝑝𝑙𝑖𝑡𝐼𝑛𝑓𝑜𝑟𝑚𝑎𝑡𝑖𝑜𝑛	𝑆𝑝𝑙𝑖𝑡𝐼𝑛𝑓𝑜𝑟𝑚𝑎𝑡𝑖𝑜𝑛	PROPN
bitcs-6073	59	28	=	=	SYM
bitcs-6073	59	29	-∑𝑐	-∑𝑐	PUNCT
bitcs-6073	59	30	𝑡=1	𝑡=1	PROPN
bitcs-6073	59	31	𝑆1	𝑆1	NOUN
bitcs-6073	59	32	𝑆	𝑆	PROPN
bitcs-6073	59	33	𝑙𝑜𝑔2	𝑙𝑜𝑔2	PROPN
bitcs-6073	59	34	𝑆1	𝑆1	NOUN
bitcs-6073	59	35	𝑆	𝑆	PROPN
bitcs-6073	59	36	3	3	NUM
bitcs-6073	59	37	)	)	PUNCT
bitcs-6073	59	38	next	next	ADV
bitcs-6073	59	39	,	,	PUNCT
bitcs-6073	59	40	calculate	calculate	VERB
bitcs-6073	59	41	the	the	DET
bitcs-6073	59	42	gain	gain	NOUN
bitcs-6073	59	43	ratio	ratio	NOUN
bitcs-6073	59	44	𝐺𝑎𝑖𝑛𝑟𝑎𝑡𝑖𝑜	𝐺𝑎𝑖𝑛𝑟𝑎𝑡𝑖𝑜	PROPN
bitcs-6073	59	45	(	(	PUNCT
bitcs-6073	59	46	𝑆	𝑆	PROPN
bitcs-6073	59	47	,	,	PUNCT
bitcs-6073	59	48	𝐴	𝐴	PROPN
bitcs-6073	59	49	)	)	PUNCT
bitcs-6073	59	50	=	=	SYM
bitcs-6073	59	51	4	4	X
bitcs-6073	59	52	)	)	PUNCT
bitcs-6073	59	53	repeat	repeat	NOUN
bitcs-6073	59	54	step	step	NOUN
bitcs-6073	59	55	2	2	NUM
bitcs-6073	59	56	until	until	SCONJ
bitcs-6073	59	57	all	all	DET
bitcs-6073	59	58	records	record	NOUN
bitcs-6073	59	59	have	have	AUX
bitcs-6073	59	60	been	be	AUX
bitcs-6073	59	61	split	split	VERB
bitcs-6073	59	62	.	.	PUNCT
bitcs-6073	60	1	the	the	DET
bitcs-6073	60	2	decision	decision	NOUN
bitcs-6073	60	3	tree	tree	NOUN
bitcs-6073	60	4	splitting	splitting	NOUN
bitcs-6073	60	5	process	process	NOUN
bitcs-6073	60	6	ends	end	VERB
bitcs-6073	60	7	when	when	SCONJ
bitcs-6073	60	8	:	:	PUNCT
bitcs-6073	60	9	1	1	X
bitcs-6073	60	10	)	)	PUNCT
bitcs-6073	60	11	all	all	DET
bitcs-6073	60	12	tuples	tuple	NOUN
bitcs-6073	60	13	in	in	ADP
bitcs-6073	60	14	node	node	NOUN
bitcs-6073	60	15	record	record	NOUN
bitcs-6073	60	16	m	m	NOUN
bitcs-6073	60	17	are	be	AUX
bitcs-6073	60	18	of	of	ADP
bitcs-6073	60	19	the	the	DET
bitcs-6073	60	20	same	same	ADJ
bitcs-6073	60	21	class	class	NOUN
bitcs-6073	60	22	.	.	PUNCT
bitcs-6073	61	1	2	2	X
bitcs-6073	61	2	)	)	PUNCT
bitcs-6073	61	3	the	the	DET
bitcs-6073	61	4	attributes	attribute	NOUN
bitcs-6073	61	5	in	in	ADP
bitcs-6073	61	6	the	the	DET
bitcs-6073	61	7	dataset	dataset	NOUN
bitcs-6073	61	8	are	be	AUX
bitcs-6073	61	9	not	not	PART
bitcs-6073	61	10	further	far	ADV
bitcs-6073	61	11	divided	divide	VERB
bitcs-6073	61	12	.	.	PUNCT
bitcs-6073	62	1	3	3	X
bitcs-6073	62	2	)	)	PUNCT
bitcs-6073	62	3	an	an	DET
bitcs-6073	62	4	empty	empty	ADJ
bitcs-6073	62	5	branch	branch	NOUN
bitcs-6073	62	6	has	have	VERB
bitcs-6073	62	7	no	no	DET
bitcs-6073	62	8	records	record	NOUN
bitcs-6073	62	9	c.	c.	PROPN
bitcs-6073	62	10	naïve	naïve	PROPN
bitcs-6073	62	11	bayes	bayes	PROPN
bitcs-6073	62	12	bayesian	bayesian	NOUN
bitcs-6073	62	13	classification	classification	NOUN
bitcs-6073	62	14	is	be	AUX
bitcs-6073	62	15	a	a	DET
bitcs-6073	62	16	statistical	statistical	ADJ
bitcs-6073	62	17	classification	classification	NOUN
bitcs-6073	62	18	that	that	PRON
bitcs-6073	62	19	can	can	AUX
bitcs-6073	62	20	be	be	AUX
bitcs-6073	62	21	used	use	VERB
bitcs-6073	62	22	to	to	PART
bitcs-6073	62	23	predict	predict	VERB
bitcs-6073	62	24	the	the	DET
bitcs-6073	62	25	probability	probability	NOUN
bitcs-6073	62	26	of	of	ADP
bitcs-6073	62	27	membership	membership	NOUN
bitcs-6073	62	28	of	of	ADP
bitcs-6073	62	29	a	a	DET
bitcs-6073	62	30	class	class	NOUN
bitcs-6073	62	31	discovered	discover	VERB
bitcs-6073	62	32	by	by	ADP
bitcs-6073	62	33	the	the	DET
bitcs-6073	62	34	british	british	ADJ
bitcs-6073	62	35	scientist	scientist	NOUN
bitcs-6073	62	36	thomas	thomas	PROPN
bitcs-6073	62	37	bayes	bayes	PROPN
bitcs-6073	63	1	[	[	X
bitcs-6073	63	2	4	4	NUM
bitcs-6073	63	3	]	]	PUNCT
bitcs-6073	63	4	.	.	PUNCT
bitcs-6073	64	1	naive	naive	ADJ
bitcs-6073	64	2	bayes	bayes	PROPN
bitcs-6073	64	3	is	be	AUX
bitcs-6073	64	4	a	a	DET
bitcs-6073	64	5	classification	classification	NOUN
bitcs-6073	64	6	algorithm	algorithm	NOUN
bitcs-6073	64	7	that	that	PRON
bitcs-6073	64	8	is	be	AUX
bitcs-6073	64	9	quite	quite	ADV
bitcs-6073	64	10	simple	simple	ADJ
bitcs-6073	64	11	and	and	CCONJ
bitcs-6073	64	12	easy	easy	ADJ
bitcs-6073	64	13	to	to	PART
bitcs-6073	64	14	implement	implement	VERB
bitcs-6073	64	15	so	so	SCONJ
bitcs-6073	64	16	this	this	DET
bitcs-6073	64	17	algorithm	algorithm	NOUN
bitcs-6073	64	18	is	be	AUX
bitcs-6073	64	19	very	very	ADV
bitcs-6073	64	20	effective	effective	ADJ
bitcs-6073	64	21	when	when	SCONJ
bitcs-6073	64	22	tested	test	VERB
bitcs-6073	64	23	with	with	ADP
bitcs-6073	64	24	the	the	DET
bitcs-6073	64	25	correct	correct	ADJ
bitcs-6073	64	26	data	datum	NOUN
bitcs-6073	64	27	set	set	VERB
bitcs-6073	64	28	,	,	PUNCT
bitcs-6073	64	29	especially	especially	ADV
bitcs-6073	64	30	if	if	SCONJ
bitcs-6073	64	31	naive	naive	ADJ
bitcs-6073	64	32	bayes	bayes	NOUN
bitcs-6073	64	33	is	be	AUX
bitcs-6073	64	34	combined	combine	VERB
bitcs-6073	64	35	with	with	ADP
bitcs-6073	64	36	function	function	NOUN
bitcs-6073	64	37	selection	selection	NOUN
bitcs-6073	64	38	,	,	PUNCT
bitcs-6073	64	39	so	so	ADV
bitcs-6073	64	40	naive	naive	ADJ
bitcs-6073	64	41	bayes	bayes	NOUN
bitcs-6073	64	42	can	can	AUX
bitcs-6073	64	43	reduce	reduce	VERB
bitcs-6073	64	44	redundancies	redundancy	NOUN
bitcs-6073	64	45	in	in	ADP
bitcs-6073	64	46	the	the	DET
bitcs-6073	64	47	data	datum	NOUN
bitcs-6073	64	48	,	,	PUNCT
bitcs-6073	64	49	besides	besides	SCONJ
bitcs-6073	64	50	that	that	DET
bitcs-6073	64	51	naive	naive	ADJ
bitcs-6073	64	52	bayes	bayes	NOUN
bitcs-6073	64	53	shows	show	VERB
bitcs-6073	64	54	good	good	ADJ
bitcs-6073	64	55	results	result	NOUN
bitcs-6073	64	56	when	when	SCONJ
bitcs-6073	64	57	combined	combine	VERB
bitcs-6073	64	58	with	with	ADP
bitcs-6073	64	59	clustering	clustering	ADJ
bitcs-6073	64	60	methods	method	NOUN
bitcs-6073	64	61	.	.	PUNCT
bitcs-6073	65	1	naive	naive	ADJ
bitcs-6073	65	2	bayes	bayes	PROPN
bitcs-6073	65	3	is	be	AUX
bitcs-6073	65	4	proven	prove	VERB
bitcs-6073	65	5	to	to	PART
bitcs-6073	65	6	have	have	VERB
bitcs-6073	65	7	high	high	ADJ
bitcs-6073	65	8	accuracy	accuracy	NOUN
bitcs-6073	65	9	compared	compare	VERB
bitcs-6073	65	10	to	to	PART
bitcs-6073	65	11	support	support	VERB
bitcs-6073	65	12	vector	vector	NOUN
bitcs-6073	65	13	machines	machine	NOUN
bitcs-6073	65	14	.	.	PUNCT
bitcs-6073	66	1	vol	vol	NOUN
bitcs-6073	66	2	.	.	PROPN
bitcs-6073	66	3	5	5	NUM
bitcs-6073	66	4	,	,	PUNCT
bitcs-6073	66	5	no.1	no.1	X
bitcs-6073	66	6	|	|	ADV
bitcs-6073	66	7	31	31	NUM
bitcs-6073	66	8	vol	vol	NOUN
bitcs-6073	66	9	.	.	PROPN
bitcs-6073	66	10	5	5	NUM
bitcs-6073	66	11	,	,	PUNCT
bitcs-6073	66	12	no.1	no.1	X
bitcs-6073	67	1	|	|	NOUN
bitcs-6073	67	2	31	31	NUM
bitcs-6073	67	3	then	then	ADV
bitcs-6073	67	4	x	x	X
bitcs-6073	67	5	is	be	AUX
bitcs-6073	67	6	evidence	evidence	NOUN
bitcs-6073	67	7	,	,	PUNCT
bitcs-6073	67	8	h	h	NOUN
bitcs-6073	67	9	is	be	AUX
bitcs-6073	67	10	hypothesis	hypothesis	NOUN
bitcs-6073	67	11	,	,	PUNCT
bitcs-6073	67	12	p(h|x	p(h|x	PROPN
bitcs-6073	67	13	)	)	PUNCT
bitcs-6073	67	14	is	be	AUX
bitcs-6073	67	15	probability	probability	NOUN
bitcs-6073	67	16	that	that	SCONJ
bitcs-6073	67	17	hypothesis	hypothesis	NOUN
bitcs-6073	67	18	h	h	NOUN
bitcs-6073	67	19	is	be	AUX
bitcs-6073	67	20	true	true	ADJ
bitcs-6073	67	21	,	,	PUNCT
bitcs-6073	67	22	evidence	evidence	NOUN
bitcs-6073	67	23	of	of	ADP
bitcs-6073	67	24	true	true	ADJ
bitcs-6073	67	25	or	or	CCONJ
bitcs-6073	67	26	hypothesis	hypothesis	NOUN
bitcs-6073	67	27	h	h	NOUN
bitcs-6073	67	28	or	or	CCONJ
bitcs-6073	67	29	posterior	posterior	ADJ
bitcs-6073	67	30	so	so	ADV
bitcs-6073	67	31	variable	variable	ADJ
bitcs-6073	67	32	c	c	NOUN
bitcs-6073	67	33	explains	explain	VERB
bitcs-6073	67	34	the	the	DET
bitcs-6073	67	35	class	class	NOUN
bitcs-6073	67	36	,	,	PUNCT
bitcs-6073	67	37	while	while	SCONJ
bitcs-6073	67	38	variables	variable	NOUN
bitcs-6073	67	39	f1	f1	PROPN
bitcs-6073	67	40	...	...	PUNCT
bitcs-6073	68	1	fn	fn	PROPN
bitcs-6073	68	2	explain	explain	VERB
bitcs-6073	68	3	the	the	DET
bitcs-6073	68	4	character	character	NOUN
bitcs-6073	68	5	of	of	ADP
bitcs-6073	68	6	the	the	DET
bitcs-6073	68	7	instructions	instruction	NOUN
bitcs-6073	68	8	in	in	ADP
bitcs-6073	68	9	carrying	carry	VERB
bitcs-6073	68	10	out	out	ADP
bitcs-6073	68	11	the	the	DET
bitcs-6073	68	12	classification	classification	NOUN
bitcs-6073	68	13	.	.	PUNCT
bitcs-6073	69	1	where	where	SCONJ
bitcs-6073	69	2	this	this	DET
bitcs-6073	69	3	formula	formula	NOUN
bitcs-6073	69	4	explains	explain	VERB
bitcs-6073	69	5	the	the	DET
bitcs-6073	69	6	probability	probability	NOUN
bitcs-6073	69	7	that	that	SCONJ
bitcs-6073	69	8	the	the	DET
bitcs-6073	69	9	sample	sample	NOUN
bitcs-6073	69	10	enters	enter	VERB
bitcs-6073	69	11	a	a	DET
bitcs-6073	69	12	special	special	ADJ
bitcs-6073	69	13	character	character	NOUN
bitcs-6073	69	14	in	in	ADP
bitcs-6073	69	15	class	class	NOUN
bitcs-6073	69	16	c	c	PROPN
bitcs-6073	69	17	(	(	PUNCT
bitcs-6073	69	18	posterior	posterior	ADJ
bitcs-6073	69	19	)	)	PUNCT
bitcs-6073	69	20	,	,	PUNCT
bitcs-6073	69	21	namely	namely	ADV
bitcs-6073	69	22	the	the	DET
bitcs-6073	69	23	probability	probability	NOUN
bitcs-6073	69	24	that	that	SCONJ
bitcs-6073	69	25	it	it	PRON
bitcs-6073	69	26	comes	come	VERB
bitcs-6073	69	27	out	out	ADP
bitcs-6073	69	28	of	of	ADP
bitcs-6073	69	29	class	class	NOUN
bitcs-6073	69	30	c	c	PROPN
bitcs-6073	69	31	(	(	PUNCT
bitcs-6073	69	32	before	before	ADP
bitcs-6073	69	33	entering	enter	VERB
bitcs-6073	69	34	the	the	DET
bitcs-6073	69	35	sample	sample	NOUN
bitcs-6073	69	36	,	,	PUNCT
bitcs-6073	69	37	many	many	ADJ
bitcs-6073	69	38	priors	prior	NOUN
bitcs-6073	69	39	are	be	AUX
bitcs-6073	69	40	made	make	VERB
bitcs-6073	69	41	)	)	PUNCT
bitcs-6073	69	42	,	,	PUNCT
bitcs-6073	69	43	multiplied	multiply	VERB
bitcs-6073	69	44	by	by	ADP
bitcs-6073	69	45	the	the	DET
bitcs-6073	69	46	probability	probability	NOUN
bitcs-6073	69	47	of	of	ADP
bitcs-6073	69	48	the	the	DET
bitcs-6073	69	49	sample	sample	NOUN
bitcs-6073	69	50	character	character	NOUN
bitcs-6073	69	51	appearing	appear	VERB
bitcs-6073	69	52	in	in	ADP
bitcs-6073	69	53	class	class	NOUN
bitcs-6073	69	54	(	(	PUNCT
bitcs-6073	69	55	also	also	ADV
bitcs-6073	69	56	called	call	VERB
bitcs-6073	69	57	likelihood	likelihood	NOUN
bitcs-6073	69	58	)	)	PUNCT
bitcs-6073	69	59	,	,	PUNCT
bitcs-6073	69	60	divided	divide	VERB
bitcs-6073	69	61	by	by	ADP
bitcs-6073	69	62	the	the	DET
bitcs-6073	69	63	probability	probability	NOUN
bitcs-6073	69	64	of	of	ADP
bitcs-6073	69	65	the	the	DET
bitcs-6073	69	66	character	character	NOUN
bitcs-6073	69	67	appearing	appear	VERB
bitcs-6073	69	68	global	global	ADJ
bitcs-6073	69	69	examples	example	NOUN
bitcs-6073	69	70	(	(	PUNCT
bitcs-6073	69	71	also	also	ADV
bitcs-6073	69	72	called	call	VERB
bitcs-6073	69	73	evidence	evidence	NOUN
bitcs-6073	69	74	)	)	PUNCT
bitcs-6073	69	75	.	.	PUNCT
bitcs-6073	70	1	the	the	DET
bitcs-6073	70	2	formula	formula	NOUN
bitcs-6073	70	3	above	above	ADV
bitcs-6073	70	4	can	can	AUX
bitcs-6073	70	5	be	be	AUX
bitcs-6073	70	6	made	make	VERB
bitcs-6073	70	7	simply	simply	ADV
bitcs-6073	70	8	as	as	SCONJ
bitcs-6073	70	9	follows	follow	VERB
bitcs-6073	70	10	𝑃𝑜𝑠𝑡𝑒𝑟𝑖𝑜𝑟	𝑃𝑜𝑠𝑡𝑒𝑟𝑖𝑜𝑟	PROPN
bitcs-6073	70	11	=	=	PUNCT
bitcs-6073	70	12	𝑃𝑟𝑖𝑜𝑟	𝑃𝑟𝑖𝑜𝑟	PROPN
bitcs-6073	70	13	𝑥	𝑥	PROPN
bitcs-6073	70	14	𝑙𝑖𝑘𝑒𝑙𝑖ℎ𝑜𝑑	𝑙𝑖𝑘𝑒𝑙𝑖ℎ𝑜𝑑	NOUN
bitcs-6073	70	15	𝑒𝑣𝑖𝑑𝑒𝑛𝑐𝑒	𝑒𝑣𝑖𝑑𝑒𝑛𝑐𝑒	VERB
bitcs-6073	70	16	for	for	ADP
bitcs-6073	70	17	continuous	continuous	ADJ
bitcs-6073	70	18	data	datum	NOUN
bitcs-6073	70	19	classification	classification	NOUN
bitcs-6073	70	20	,	,	PUNCT
bitcs-6073	70	21	the	the	DET
bitcs-6073	70	22	gaussian	gaussian	ADJ
bitcs-6073	70	23	density	density	NOUN
bitcs-6073	70	24	formula	formula	NOUN
bitcs-6073	70	25	is	be	AUX
bitcs-6073	70	26	used	use	VERB
bitcs-6073	70	27	:	:	PUNCT
bitcs-6073	71	1	where	where	SCONJ
bitcs-6073	71	2	:	:	PUNCT
bitcs-6073	71	3	p	p	X
bitcs-6073	71	4	:	:	PUNCT
bitcs-6073	71	5	opportunity	opportunity	NOUN
bitcs-6073	71	6	xi	xi	NOUN
bitcs-6073	71	7	:	:	PUNCT
bitcs-6073	71	8	atributke	atributke	PROPN
bitcs-6073	71	9	i	i	PRON
bitcs-6073	71	10	xi	xi	VERB
bitcs-6073	71	11	:	:	PUNCT
bitcs-6073	71	12	the	the	DET
bitcs-6073	71	13	value	value	NOUN
bitcs-6073	71	14	of	of	ADP
bitcs-6073	71	15	the	the	DET
bitcs-6073	71	16	i	i	PROPN
bitcs-6073	71	17	attribute	attribute	VERB
bitcs-6073	71	18	y	y	NOUN
bitcs-6073	71	19	:	:	PUNCT
bitcs-6073	71	20	class	class	NOUN
bitcs-6073	71	21	sought	seek	VERB
bitcs-6073	71	22	yi	yi	NOUN
bitcs-6073	71	23	:	:	PUNCT
bitcs-6073	71	24	subclass	subclass	NOUN
bitcs-6073	71	25	y	y	PROPN
bitcs-6073	71	26	is	be	AUX
bitcs-6073	71	27	sought	seek	VERB
bitcs-6073	71	28	μ	μ	NUM
bitcs-6073	71	29	:	:	PUNCT
bitcs-6073	71	30	mean	mean	ADJ
bitcs-6073	71	31	,	,	PUNCT
bitcs-6073	71	32	explains	explain	VERB
bitcs-6073	71	33	the	the	DET
bitcs-6073	71	34	average	average	NOUN
bitcs-6073	71	35	of	of	ADP
bitcs-6073	71	36	all	all	DET
bitcs-6073	71	37	attributes	attribute	NOUN
bitcs-6073	71	38	σ	σ	NOUN
bitcs-6073	71	39	:	:	PUNCT
bitcs-6073	71	40	standard	standard	ADJ
bitcs-6073	71	41	deviation	deviation	NOUN
bitcs-6073	71	42	,	,	PUNCT
bitcs-6073	71	43	explained	explain	VERB
bitcs-6073	71	44	variance	variance	NOUN
bitcs-6073	71	45	across	across	ADP
bitcs-6073	71	46	attributes	attribute	NOUN
bitcs-6073	71	47	.	.	PUNCT
bitcs-6073	72	1	2	2	X
bitcs-6073	72	2	.	.	X
bitcs-6073	72	3	evaluasi	evaluasi	PROPN
bitcs-6073	72	4	kinerja	kinerja	PROPN
bitcs-6073	72	5	a.	a.	NOUN
bitcs-6073	72	6	confusion	confusion	NOUN
bitcs-6073	72	7	matrix	matrix	NOUN
bitcs-6073	72	8	this	this	DET
bitcs-6073	72	9	method	method	NOUN
bitcs-6073	72	10	only	only	ADV
bitcs-6073	72	11	uses	use	VERB
bitcs-6073	72	12	a	a	DET
bitcs-6073	72	13	matrix	matrix	NOUN
bitcs-6073	72	14	table	table	NOUN
bitcs-6073	72	15	as	as	ADP
bitcs-6073	72	16	in	in	ADP
bitcs-6073	72	17	table	table	NOUN
bitcs-6073	72	18	1	1	NUM
bitcs-6073	72	19	,	,	PUNCT
bitcs-6073	72	20	if	if	SCONJ
bitcs-6073	72	21	the	the	DET
bitcs-6073	72	22	dataset	dataset	NOUN
bitcs-6073	72	23	only	only	ADV
bitcs-6073	72	24	consists	consist	VERB
bitcs-6073	72	25	of	of	ADP
bitcs-6073	72	26	two	two	NUM
bitcs-6073	72	27	classes	class	NOUN
bitcs-6073	72	28	,	,	PUNCT
bitcs-6073	72	29	one	one	NUM
bitcs-6073	72	30	class	class	NOUN
bitcs-6073	72	31	is	be	AUX
bitcs-6073	72	32	considered	consider	VERB
bitcs-6073	72	33	positive	positive	ADJ
bitcs-6073	72	34	and	and	CCONJ
bitcs-6073	72	35	the	the	DET
bitcs-6073	72	36	other	other	ADJ
bitcs-6073	72	37	negative	negative	ADJ
bitcs-6073	72	38	[	[	X
bitcs-6073	72	39	5	5	NUM
bitcs-6073	72	40	]	]	PUNCT
bitcs-6073	72	41	.	.	PUNCT
bitcs-6073	73	1	evaluation	evaluation	NOUN
bitcs-6073	73	2	with	with	ADP
bitcs-6073	73	3	the	the	DET
bitcs-6073	73	4	confusion	confusion	NOUN
bitcs-6073	73	5	matrix	matrix	NOUN
bitcs-6073	73	6	produces	produce	VERB
bitcs-6073	73	7	accuracy	accuracy	NOUN
bitcs-6073	73	8	,	,	PUNCT
bitcs-6073	73	9	precision	precision	NOUN
bitcs-6073	73	10	and	and	CCONJ
bitcs-6073	73	11	recall	recall	NOUN
bitcs-6073	73	12	values	value	NOUN
bitcs-6073	73	13	.	.	PUNCT
bitcs-6073	74	1	table	table	NOUN
bitcs-6073	74	2	1	1	NUM
bitcs-6073	74	3	confusion	confusion	NOUN
bitcs-6073	74	4	matrix	matrix	NOUN
bitcs-6073	74	5	correct	correct	ADJ
bitcs-6073	74	6	clalssificaltion	clalssificaltion	NOUN
bitcs-6073	74	7	clalssified	clalssifie	VERB
bitcs-6073	74	8	als	als	NOUN
bitcs-6073	74	9	+	+	X
bitcs-6073	74	10	+	+	CCONJ
bitcs-6073	74	11	true	true	ADJ
bitcs-6073	74	12	positives	positive	NOUN
bitcs-6073	74	13	fallse	fallse	NOUN
bitcs-6073	74	14	negaltives	negaltive	VERB
bitcs-6073	74	15	fallse	fallse	NOUN
bitcs-6073	74	16	positives	positive	NOUN
bitcs-6073	74	17	true	true	ADJ
bitcs-6073	74	18	negaltives	negaltive	NOUN
bitcs-6073	74	19	true	true	ADJ
bitcs-6073	74	20	positive	positive	ADJ
bitcs-6073	74	21	is	be	AUX
bitcs-6073	74	22	the	the	DET
bitcs-6073	74	23	number	number	NOUN
bitcs-6073	74	24	of	of	ADP
bitcs-6073	74	25	positive	positive	ADJ
bitcs-6073	74	26	records	record	NOUN
bitcs-6073	74	27	that	that	PRON
bitcs-6073	74	28	are	be	AUX
bitcs-6073	74	29	classified	classify	VERB
bitcs-6073	74	30	as	as	ADP
bitcs-6073	74	31	positive	positive	ADJ
bitcs-6073	74	32	,	,	PUNCT
bitcs-6073	74	33	false	false	ADJ
bitcs-6073	74	34	positive	positive	ADJ
bitcs-6073	74	35	is	be	AUX
bitcs-6073	74	36	the	the	DET
bitcs-6073	74	37	number	number	NOUN
bitcs-6073	74	38	of	of	ADP
bitcs-6073	74	39	negative	negative	ADJ
bitcs-6073	74	40	records	record	NOUN
bitcs-6073	74	41	that	that	PRON
bitcs-6073	74	42	are	be	AUX
bitcs-6073	74	43	classified	classify	VERB
bitcs-6073	74	44	as	as	ADP
bitcs-6073	74	45	positive	positive	ADJ
bitcs-6073	74	46	,	,	PUNCT
bitcs-6073	74	47	false	false	ADJ
bitcs-6073	74	48	negative	negative	ADJ
bitcs-6073	74	49	is	be	AUX
bitcs-6073	74	50	the	the	DET
bitcs-6073	74	51	number	number	NOUN
bitcs-6073	74	52	of	of	ADP
bitcs-6073	74	53	positive	positive	ADJ
bitcs-6073	74	54	records	record	NOUN
bitcs-6073	74	55	that	that	PRON
bitcs-6073	74	56	are	be	AUX
bitcs-6073	74	57	classified	classify	VERB
bitcs-6073	74	58	as	as	ADP
bitcs-6073	74	59	negative	negative	ADJ
bitcs-6073	74	60	,	,	PUNCT
bitcs-6073	74	61	true	true	ADJ
bitcs-6073	74	62	negative	negative	ADJ
bitcs-6073	74	63	is	be	AUX
bitcs-6073	74	64	the	the	DET
bitcs-6073	74	65	number	number	NOUN
bitcs-6073	74	66	of	of	ADP
bitcs-6073	74	67	negative	negative	ADJ
bitcs-6073	74	68	records	record	NOUN
bitcs-6073	74	69	that	that	PRON
bitcs-6073	74	70	are	be	AUX
bitcs-6073	74	71	classified	classify	VERB
bitcs-6073	74	72	as	as	ADP
bitcs-6073	74	73	negative	negative	ADJ
bitcs-6073	74	74	,	,	PUNCT
bitcs-6073	74	75	𝐴𝐶𝐶	𝐴𝐶𝐶	PROPN
bitcs-6073	74	76	=	=	SYM
bitcs-6073	74	77	𝑇𝑃+𝑇𝑁	𝑇𝑃+𝑇𝑁	ADJ
bitcs-6073	74	78	𝑇𝑃+𝑇𝑁+𝐹𝑃+𝐹𝑁	𝑇𝑃+𝑇𝑁+𝐹𝑃+𝐹𝑁	ADJ
bitcs-6073	74	79	𝑃	𝑃	PROPN
bitcs-6073	74	80	=	=	SYM
bitcs-6073	74	81	𝑇𝑃	𝑇𝑃	NOUN
bitcs-6073	74	82	𝑇𝑃+𝐹𝑃	𝑇𝑃+𝐹𝑃	NOUN
bitcs-6073	74	83	𝑆𝑛	𝑆𝑛	PROPN
bitcs-6073	74	84	=	=	PUNCT
bitcs-6073	74	85	𝑇𝑃	𝑇𝑃	NOUN
bitcs-6073	74	86	𝑇𝑃	𝑇𝑃	NOUN
bitcs-6073	74	87	+	+	CCONJ
bitcs-6073	74	88	𝐹𝑁	𝐹𝑁	PROPN
bitcs-6073	74	89	𝑆𝑝	𝑆𝑝	PROPN
bitcs-6073	74	90	=	=	PROPN
bitcs-6073	74	91	𝑇𝑁	𝑇𝑁	PROPN
bitcs-6073	74	92	𝑇𝑁	𝑇𝑁	PROPN
bitcs-6073	74	93	+	+	CCONJ
bitcs-6073	74	94	𝐹𝑃	𝐹𝑃	PROPN
bitcs-6073	74	95	vol	vol	NOUN
bitcs-6073	74	96	.	.	PROPN
bitcs-6073	74	97	5	5	NUM
bitcs-6073	74	98	,	,	PUNCT
bitcs-6073	74	99	no.1	no.1	X
bitcs-6073	74	100	|	|	PROPN
bitcs-6073	74	101	32	32	NUM
bitcs-6073	74	102	b.	b.	PROPN
bitcs-6073	74	103	kurva	kurva	PROPN
bitcs-6073	74	104	roc	roc	PROPN
bitcs-6073	74	105	the	the	DET
bitcs-6073	74	106	roc	roc	PROPN
bitcs-6073	74	107	curve	curve	NOUN
bitcs-6073	74	108	is	be	AUX
bitcs-6073	74	109	a	a	DET
bitcs-6073	74	110	graphical	graphical	ADJ
bitcs-6073	74	111	plot	plot	NOUN
bitcs-6073	74	112	that	that	PRON
bitcs-6073	74	113	illustrates	illustrate	VERB
bitcs-6073	74	114	the	the	DET
bitcs-6073	74	115	diagnostic	diagnostic	ADJ
bitcs-6073	74	116	ability	ability	NOUN
bitcs-6073	74	117	of	of	ADP
bitcs-6073	74	118	a	a	DET
bitcs-6073	74	119	binary	binary	ADJ
bitcs-6073	74	120	classifier	classifier	NOUN
bitcs-6073	74	121	system	system	NOUN
bitcs-6073	74	122	as	as	SCONJ
bitcs-6073	74	123	its	its	PRON
bitcs-6073	74	124	discrimination	discrimination	NOUN
bitcs-6073	74	125	threshold	threshold	NOUN
bitcs-6073	74	126	varies	vary	VERB
bitcs-6073	74	127	[	[	X
bitcs-6073	74	128	2	2	NUM
bitcs-6073	74	129	]	]	PUNCT
bitcs-6073	74	130	.	.	PUNCT
bitcs-6073	75	1	this	this	DET
bitcs-6073	75	2	method	method	NOUN
bitcs-6073	75	3	was	be	AUX
bitcs-6073	75	4	originally	originally	ADV
bitcs-6073	75	5	developed	develop	VERB
bitcs-6073	75	6	for	for	ADP
bitcs-6073	75	7	military	military	ADJ
bitcs-6073	75	8	radar	radar	NOUN
bitcs-6073	75	9	receiver	receiver	NOUN
bitcs-6073	75	10	operators	operator	NOUN
bitcs-6073	75	11	starting	start	VERB
bitcs-6073	75	12	in	in	ADP
bitcs-6073	75	13	1941	1941	NUM
bitcs-6073	75	14	,	,	PUNCT
bitcs-6073	75	15	giving	give	VERB
bitcs-6073	75	16	rise	rise	NOUN
bitcs-6073	75	17	to	to	ADP
bitcs-6073	75	18	its	its	PRON
bitcs-6073	75	19	name	name	NOUN
bitcs-6073	75	20	.	.	PUNCT
bitcs-6073	76	1	the	the	DET
bitcs-6073	76	2	roc	roc	PROPN
bitcs-6073	76	3	curve	curve	NOUN
bitcs-6073	76	4	is	be	AUX
bitcs-6073	76	5	created	create	VERB
bitcs-6073	76	6	by	by	ADP
bitcs-6073	76	7	plotting	plot	VERB
bitcs-6073	76	8	the	the	DET
bitcs-6073	76	9	true	true	ADJ
bitcs-6073	76	10	positive	positive	ADJ
bitcs-6073	76	11	rate	rate	NOUN
bitcs-6073	76	12	(	(	PUNCT
bitcs-6073	76	13	tpr	tpr	NOUN
bitcs-6073	76	14	)	)	PUNCT
bitcs-6073	76	15	against	against	ADP
bitcs-6073	76	16	the	the	DET
bitcs-6073	76	17	false	false	ADJ
bitcs-6073	76	18	positive	positive	ADJ
bitcs-6073	76	19	rate	rate	NOUN
bitcs-6073	76	20	(	(	PUNCT
bitcs-6073	76	21	fpr	fpr	NOUN
bitcs-6073	76	22	)	)	PUNCT
bitcs-6073	76	23	at	at	ADP
bitcs-6073	76	24	various	various	ADJ
bitcs-6073	76	25	threshold	threshold	NOUN
bitcs-6073	76	26	settings	setting	NOUN
bitcs-6073	76	27	.	.	PUNCT
bitcs-6073	77	1	true	true	ADJ
bitcs-6073	77	2	positive	positive	ADJ
bitcs-6073	77	3	rate	rate	NOUN
bitcs-6073	77	4	is	be	AUX
bitcs-6073	77	5	also	also	ADV
bitcs-6073	77	6	known	know	VERB
bitcs-6073	77	7	as	as	ADP
bitcs-6073	77	8	sensitivity	sensitivity	NOUN
bitcs-6073	77	9	,	,	PUNCT
bitcs-6073	77	10	recall	recall	NOUN
bitcs-6073	77	11	,	,	PUNCT
bitcs-6073	77	12	or	or	CCONJ
bitcs-6073	77	13	probability	probability	NOUN
bitcs-6073	77	14	of	of	ADP
bitcs-6073	77	15	detection	detection	NOUN
bitcs-6073	77	16	.	.	PUNCT
bitcs-6073	78	1	the	the	DET
bitcs-6073	78	2	false	false	ADJ
bitcs-6073	78	3	positive	positive	ADJ
bitcs-6073	78	4	rate	rate	NOUN
bitcs-6073	78	5	is	be	AUX
bitcs-6073	78	6	also	also	ADV
bitcs-6073	78	7	known	know	VERB
bitcs-6073	78	8	as	as	ADP
bitcs-6073	78	9	the	the	DET
bitcs-6073	78	10	false	false	ADJ
bitcs-6073	78	11	alarm	alarm	NOUN
bitcs-6073	78	12	probability	probability	NOUN
bitcs-6073	78	13	and	and	CCONJ
bitcs-6073	78	14	can	can	AUX
bitcs-6073	78	15	be	be	AUX
bitcs-6073	78	16	calculated	calculate	VERB
bitcs-6073	78	17	as	as	ADP
bitcs-6073	78	18	(	(	PUNCT
bitcs-6073	78	19	1	1	NUM
bitcs-6073	78	20	specificity	specificity	NOUN
bitcs-6073	78	21	)	)	PUNCT
bitcs-6073	78	22	.	.	PUNCT
bitcs-6073	79	1	the	the	DET
bitcs-6073	79	2	roc	roc	PROPN
bitcs-6073	79	3	can	can	AUX
bitcs-6073	79	4	also	also	ADV
bitcs-6073	79	5	be	be	AUX
bitcs-6073	79	6	thought	think	VERB
bitcs-6073	79	7	of	of	ADP
bitcs-6073	79	8	as	as	ADP
bitcs-6073	79	9	a	a	DET
bitcs-6073	79	10	plot	plot	NOUN
bitcs-6073	79	11	of	of	ADP
bitcs-6073	79	12	the	the	DET
bitcs-6073	79	13	power	power	NOUN
bitcs-6073	79	14	as	as	ADP
bitcs-6073	79	15	a	a	DET
bitcs-6073	79	16	function	function	NOUN
bitcs-6073	79	17	of	of	ADP
bitcs-6073	79	18	the	the	DET
bitcs-6073	79	19	type	type	NOUN
bitcs-6073	79	20	i	i	PRON
bitcs-6073	79	21	error	error	NOUN
bitcs-6073	79	22	of	of	ADP
bitcs-6073	79	23	the	the	DET
bitcs-6073	79	24	decision	decision	NOUN
bitcs-6073	79	25	rule	rule	NOUN
bitcs-6073	79	26	(	(	PUNCT
bitcs-6073	79	27	when	when	SCONJ
bitcs-6073	79	28	performance	performance	NOUN
bitcs-6073	79	29	is	be	AUX
bitcs-6073	79	30	calculated	calculate	VERB
bitcs-6073	79	31	only	only	ADV
bitcs-6073	79	32	from	from	ADP
bitcs-6073	79	33	a	a	DET
bitcs-6073	79	34	sample	sample	NOUN
bitcs-6073	79	35	of	of	ADP
bitcs-6073	79	36	the	the	DET
bitcs-6073	79	37	population	population	NOUN
bitcs-6073	79	38	,	,	PUNCT
bitcs-6073	79	39	it	it	PRON
bitcs-6073	79	40	can	can	AUX
bitcs-6073	79	41	be	be	AUX
bitcs-6073	79	42	thought	think	VERB
bitcs-6073	79	43	of	of	ADP
bitcs-6073	79	44	as	as	ADP
bitcs-6073	79	45	an	an	DET
bitcs-6073	79	46	estimator	estimator	NOUN
bitcs-6073	79	47	of	of	ADP
bitcs-6073	79	48	this	this	DET
bitcs-6073	79	49	quantity	quantity	NOUN
bitcs-6073	79	50	)	)	PUNCT
bitcs-6073	79	51	.	.	PUNCT
bitcs-6073	80	1	auc	auc	NOUN
bitcs-6073	80	2	accuracy	accuracy	NOUN
bitcs-6073	80	3	performance	performance	NOUN
bitcs-6073	80	4	can	can	AUX
bitcs-6073	80	5	be	be	AUX
bitcs-6073	80	6	classified	classify	VERB
bitcs-6073	80	7	into	into	ADP
bitcs-6073	80	8	several	several	ADJ
bitcs-6073	80	9	groups	group	NOUN
bitcs-6073	80	10	,	,	PUNCT
bitcs-6073	80	11	namely	namely	ADV
bitcs-6073	80	12	[	[	X
bitcs-6073	80	13	7	7	NUM
bitcs-6073	80	14	]	]	SYM
bitcs-6073	80	15	:	:	PUNCT
bitcs-6073	81	1	1	1	NUM
bitcs-6073	81	2	.	.	NUM
bitcs-6073	81	3	0.90	0.90	NUM
bitcs-6073	81	4	–	–	PUNCT
bitcs-6073	81	5	1.00	1.00	NUM
bitcs-6073	81	6	=	=	SYM
bitcs-6073	81	7	excellent	excellent	ADJ
bitcs-6073	81	8	classification	classification	NOUN
bitcs-6073	81	9	2	2	NUM
bitcs-6073	81	10	.	.	NOUN
bitcs-6073	81	11	0.80	0.80	NUM
bitcs-6073	81	12	–	–	PUNCT
bitcs-6073	81	13	0.90	0.90	NUM
bitcs-6073	81	14	=	=	SYM
bitcs-6073	81	15	good	good	ADJ
bitcs-6073	81	16	classification	classification	NOUN
bitcs-6073	81	17	3	3	NUM
bitcs-6073	81	18	.	.	NOUN
bitcs-6073	81	19	0.70	0.70	NUM
bitcs-6073	81	20	–	–	SYM
bitcs-6073	81	21	0.80	0.80	NUM
bitcs-6073	81	22	=	=	SYM
bitcs-6073	81	23	fair	fair	ADJ
bitcs-6073	81	24	classification	classification	NOUN
bitcs-6073	81	25	4	4	NUM
bitcs-6073	81	26	.	.	NOUN
bitcs-6073	81	27	0.60	0.60	NUM
bitcs-6073	81	28	–	–	PUNCT
bitcs-6073	81	29	0.70	0.70	NUM
bitcs-6073	81	30	=	=	NOUN
bitcs-6073	81	31	poor	poor	ADJ
bitcs-6073	81	32	classification	classification	NOUN
bitcs-6073	81	33	5	5	NUM
bitcs-6073	81	34	.	.	NUM
bitcs-6073	81	35	0.50	0.50	NUM
bitcs-6073	81	36	–	–	PUNCT
bitcs-6073	81	37	0.60	0.60	NUM
bitcs-6073	81	38	=	=	SYM
bitcs-6073	81	39	failure	failure	NOUN
bitcs-6073	81	40	classification	classification	NOUN
bitcs-6073	81	41	iii	iii	NOUN
bitcs-6073	81	42	.	.	PUNCT
bitcs-6073	81	43	results	result	NOUN
bitcs-6073	81	44	and	and	CCONJ
bitcs-6073	81	45	discussions	discussion	NOUN
bitcs-6073	81	46	1	1	NUM
bitcs-6073	81	47	.	.	PUNCT
bitcs-6073	81	48	data	datum	NOUN
bitcs-6073	81	49	mining	mining	NOUN
bitcs-6073	81	50	process	process	NOUN
bitcs-6073	81	51	in	in	ADP
bitcs-6073	81	52	analyzing	analyze	VERB
bitcs-6073	81	53	the	the	DET
bitcs-6073	81	54	performance	performance	NOUN
bitcs-6073	81	55	of	of	ADP
bitcs-6073	81	56	several	several	ADJ
bitcs-6073	81	57	classification	classification	NOUN
bitcs-6073	81	58	models	model	NOUN
bitcs-6073	81	59	in	in	ADP
bitcs-6073	81	60	the	the	DET
bitcs-6073	81	61	orange	orange	PROPN
bitcs-6073	81	62	tool	tool	PROPN
bitcs-6073	81	63	,	,	PUNCT
bitcs-6073	81	64	a	a	DET
bitcs-6073	81	65	comparison	comparison	NOUN
bitcs-6073	81	66	of	of	ADP
bitcs-6073	81	67	several	several	ADJ
bitcs-6073	81	68	data	datum	NOUN
bitcs-6073	81	69	mining	mining	NOUN
bitcs-6073	81	70	methods	method	NOUN
bitcs-6073	81	71	was	be	AUX
bitcs-6073	81	72	carried	carry	VERB
bitcs-6073	81	73	out	out	ADP
bitcs-6073	81	74	to	to	PART
bitcs-6073	81	75	select	select	VERB
bitcs-6073	81	76	the	the	DET
bitcs-6073	81	77	best	good	ADJ
bitcs-6073	81	78	method	method	NOUN
bitcs-6073	81	79	with	with	ADP
bitcs-6073	81	80	high	high	ADJ
bitcs-6073	81	81	accuracy	accuracy	NOUN
bitcs-6073	81	82	,	,	PUNCT
bitcs-6073	81	83	in	in	ADP
bitcs-6073	81	84	classifying	classify	VERB
bitcs-6073	81	85	the	the	DET
bitcs-6073	81	86	pringsewu	pringsewu	PROPN
bitcs-6073	81	87	muhammadiyah	muhammadiyah	PROPN
bitcs-6073	81	88	university	university	NOUN
bitcs-6073	81	89	graduation	graduation	NOUN
bitcs-6073	81	90	status	status	NOUN
bitcs-6073	81	91	dataset	dataset	VERB
bitcs-6073	81	92	as	as	SCONJ
bitcs-6073	81	93	shown	show	VERB
bitcs-6073	81	94	in	in	ADP
bitcs-6073	81	95	figure	figure	NOUN
bitcs-6073	81	96	3	3	NUM
bitcs-6073	81	97	.	.	PUNCT
bitcs-6073	81	98	figure	figure	NOUN
bitcs-6073	81	99	3	3	NUM
bitcs-6073	81	100	.	.	PUNCT
bitcs-6073	81	101	widget	widget	NOUN
bitcs-6073	81	102	design	design	NOUN
bitcs-6073	81	103	for	for	ADP
bitcs-6073	81	104	student	student	NOUN
bitcs-6073	81	105	graduation	graduation	NOUN
bitcs-6073	81	106	status	status	NOUN
bitcs-6073	81	107	classification	classification	NOUN
bitcs-6073	81	108	model	model	NOUN
bitcs-6073	81	109	in	in	ADP
bitcs-6073	81	110	figure	figure	NOUN
bitcs-6073	81	111	3	3	NUM
bitcs-6073	81	112	,	,	PUNCT
bitcs-6073	81	113	a	a	DET
bitcs-6073	81	114	widget	widget	NOUN
bitcs-6073	81	115	is	be	AUX
bitcs-6073	81	116	designed	design	VERB
bitcs-6073	81	117	using	use	VERB
bitcs-6073	81	118	a	a	DET
bitcs-6073	81	119	classification	classification	NOUN
bitcs-6073	81	120	model	model	NOUN
bitcs-6073	81	121	in	in	ADP
bitcs-6073	81	122	orange	orange	PROPN
bitcs-6073	81	123	data	data	PROPN
bitcs-6073	81	124	mining	mining	NOUN
bitcs-6073	81	125	software	software	NOUN
bitcs-6073	81	126	in	in	ADP
bitcs-6073	81	127	the	the	DET
bitcs-6073	81	128	form	form	NOUN
bitcs-6073	81	129	of	of	ADP
bitcs-6073	81	130	k	k	PROPN
bitcs-6073	81	131	-	-	PUNCT
bitcs-6073	81	132	nn	nn	ADJ
bitcs-6073	81	133	,	,	PUNCT
bitcs-6073	81	134	decision	decision	NOUN
bitcs-6073	81	135	tree	tree	NOUN
bitcs-6073	81	136	and	and	CCONJ
bitcs-6073	81	137	naive	naive	ADJ
bitcs-6073	81	138	bayes	baye	NOUN
bitcs-6073	81	139	which	which	PRON
bitcs-6073	81	140	is	be	AUX
bitcs-6073	81	141	input	input	VERB
bitcs-6073	81	142	by	by	ADP
bitcs-6073	81	143	a	a	DET
bitcs-6073	81	144	dataset	dataset	NOUN
bitcs-6073	81	145	that	that	PRON
bitcs-6073	81	146	has	have	AUX
bitcs-6073	81	147	been	be	AUX
bitcs-6073	81	148	previously	previously	ADV
bitcs-6073	81	149	processed	process	VERB
bitcs-6073	81	150	.	.	PUNCT
bitcs-6073	82	1	then	then	ADV
bitcs-6073	82	2	the	the	DET
bitcs-6073	82	3	dataset	dataset	NOUN
bitcs-6073	82	4	is	be	AUX
bitcs-6073	82	5	processed	process	VERB
bitcs-6073	82	6	into	into	ADP
bitcs-6073	82	7	classification	classification	NOUN
bitcs-6073	82	8	mode	mode	NOUN
bitcs-6073	82	9	.	.	PUNCT
bitcs-6073	83	1	2	2	X
bitcs-6073	83	2	.	.	X
bitcs-6073	83	3	classification	classification	NOUN
bitcs-6073	83	4	model	model	NOUN
bitcs-6073	83	5	testing	testing	NOUN
bitcs-6073	83	6	process	process	NOUN
bitcs-6073	83	7	in	in	ADP
bitcs-6073	83	8	the	the	DET
bitcs-6073	83	9	process	process	NOUN
bitcs-6073	83	10	of	of	ADP
bitcs-6073	83	11	testing	test	VERB
bitcs-6073	83	12	the	the	DET
bitcs-6073	83	13	classification	classification	NOUN
bitcs-6073	83	14	model	model	NOUN
bitcs-6073	83	15	that	that	PRON
bitcs-6073	83	16	has	have	AUX
bitcs-6073	83	17	been	be	AUX
bitcs-6073	83	18	created	create	VERB
bitcs-6073	83	19	previously	previously	ADV
bitcs-6073	83	20	,	,	PUNCT
bitcs-6073	83	21	a	a	DET
bitcs-6073	83	22	collection	collection	NOUN
bitcs-6073	83	23	of	of	ADP
bitcs-6073	83	24	test	test	NOUN
bitcs-6073	83	25	data	datum	NOUN
bitcs-6073	83	26	is	be	AUX
bitcs-6073	83	27	needed	need	VERB
bitcs-6073	83	28	to	to	PART
bitcs-6073	83	29	determine	determine	VERB
bitcs-6073	83	30	the	the	DET
bitcs-6073	83	31	classification	classification	NOUN
bitcs-6073	83	32	results	result	NOUN
bitcs-6073	83	33	as	as	SCONJ
bitcs-6073	83	34	shown	show	VERB
bitcs-6073	83	35	in	in	ADP
bitcs-6073	83	36	figure	figure	NOUN
bitcs-6073	83	37	4	4	NUM
bitcs-6073	83	38	.	.	PUNCT
bitcs-6073	83	39	vol	vol	NOUN
bitcs-6073	83	40	.	.	PROPN
bitcs-6073	83	41	5	5	NUM
bitcs-6073	83	42	,	,	PUNCT
bitcs-6073	83	43	no.1	no.1	X
bitcs-6073	83	44	|	|	ADV
bitcs-6073	83	45	33	33	NUM
bitcs-6073	83	46	figure	figure	NOUN
bitcs-6073	83	47	4	4	NUM
bitcs-6073	83	48	.	.	PUNCT
bitcs-6073	83	49	widget	widget	NOUN
bitcs-6073	83	50	design	design	NOUN
bitcs-6073	83	51	for	for	ADP
bitcs-6073	83	52	student	student	NOUN
bitcs-6073	83	53	graduation	graduation	NOUN
bitcs-6073	83	54	status	status	NOUN
bitcs-6073	83	55	dataset	dataset	VERB
bitcs-6073	83	56	classification	classification	NOUN
bitcs-6073	83	57	model	model	NOUN
bitcs-6073	83	58	in	in	ADP
bitcs-6073	83	59	figure	figure	NOUN
bitcs-6073	83	60	4	4	NUM
bitcs-6073	83	61	is	be	AUX
bitcs-6073	83	62	a	a	DET
bitcs-6073	83	63	widget	widget	NOUN
bitcs-6073	83	64	design	design	NOUN
bitcs-6073	83	65	that	that	PRON
bitcs-6073	83	66	has	have	AUX
bitcs-6073	83	67	been	be	AUX
bitcs-6073	83	68	added	add	VERB
bitcs-6073	83	69	to	to	ADP
bitcs-6073	83	70	the	the	DET
bitcs-6073	83	71	classification	classification	NOUN
bitcs-6073	83	72	testing	testing	NOUN
bitcs-6073	83	73	process	process	NOUN
bitcs-6073	83	74	for	for	ADP
bitcs-6073	83	75	the	the	DET
bitcs-6073	83	76	classification	classification	NOUN
bitcs-6073	83	77	model	model	NOUN
bitcs-6073	83	78	.	.	PUNCT
bitcs-6073	84	1	in	in	ADP
bitcs-6073	84	2	the	the	DET
bitcs-6073	84	3	red	red	PROPN
bitcs-6073	84	4	box	box	PROPN
bitcs-6073	84	5	image	image	NOUN
bitcs-6073	84	6	is	be	AUX
bitcs-6073	84	7	a	a	DET
bitcs-6073	84	8	set	set	NOUN
bitcs-6073	84	9	of	of	ADP
bitcs-6073	84	10	trial	trial	NOUN
bitcs-6073	84	11	data	datum	NOUN
bitcs-6073	84	12	that	that	PRON
bitcs-6073	84	13	is	be	AUX
bitcs-6073	84	14	entered	enter	VERB
bitcs-6073	84	15	into	into	ADP
bitcs-6073	84	16	the	the	DET
bitcs-6073	84	17	classification	classification	NOUN
bitcs-6073	84	18	process	process	NOUN
bitcs-6073	84	19	to	to	PART
bitcs-6073	84	20	find	find	VERB
bitcs-6073	84	21	out	out	ADP
bitcs-6073	84	22	the	the	DET
bitcs-6073	84	23	results	result	NOUN
bitcs-6073	84	24	of	of	ADP
bitcs-6073	84	25	the	the	DET
bitcs-6073	84	26	graduation	graduation	NOUN
bitcs-6073	84	27	classification	classification	NOUN
bitcs-6073	84	28	of	of	ADP
bitcs-6073	84	29	muhammadiyah	muhammadiyah	NOUN
bitcs-6073	84	30	university	university	NOUN
bitcs-6073	84	31	pringsewu	pringsewu	PROPN
bitcs-6073	84	32	students	student	NOUN
bitcs-6073	84	33	.	.	PUNCT
bitcs-6073	85	1	3	3	X
bitcs-6073	85	2	.	.	X
bitcs-6073	85	3	evaluation	evaluation	NOUN
bitcs-6073	85	4	process	process	NOUN
bitcs-6073	85	5	of	of	ADP
bitcs-6073	85	6	classification	classification	NOUN
bitcs-6073	85	7	model	model	NOUN
bitcs-6073	85	8	comparison	comparison	NOUN
bitcs-6073	85	9	results	result	VERB
bitcs-6073	85	10	the	the	DET
bitcs-6073	85	11	next	next	ADJ
bitcs-6073	85	12	process	process	NOUN
bitcs-6073	85	13	is	be	AUX
bitcs-6073	85	14	to	to	PART
bitcs-6073	85	15	carry	carry	VERB
bitcs-6073	85	16	out	out	ADP
bitcs-6073	85	17	a	a	DET
bitcs-6073	85	18	classification	classification	NOUN
bitcs-6073	85	19	model	model	NOUN
bitcs-6073	85	20	comparison	comparison	NOUN
bitcs-6073	85	21	process	process	NOUN
bitcs-6073	85	22	using	use	VERB
bitcs-6073	85	23	test	test	NOUN
bitcs-6073	85	24	and	and	CCONJ
bitcs-6073	85	25	score	score	NOUN
bitcs-6073	85	26	which	which	PRON
bitcs-6073	85	27	is	be	AUX
bitcs-6073	85	28	needed	need	VERB
bitcs-6073	85	29	to	to	PART
bitcs-6073	85	30	calculate	calculate	VERB
bitcs-6073	85	31	the	the	DET
bitcs-6073	85	32	success	success	NOUN
bitcs-6073	85	33	rate	rate	NOUN
bitcs-6073	85	34	between	between	ADP
bitcs-6073	85	35	each	each	DET
bitcs-6073	85	36	classification	classification	NOUN
bitcs-6073	85	37	model	model	NOUN
bitcs-6073	85	38	in	in	ADP
bitcs-6073	85	39	orange	orange	PROPN
bitcs-6073	85	40	data	data	PROPN
bitcs-6073	85	41	mining	mining	NOUN
bitcs-6073	85	42	as	as	SCONJ
bitcs-6073	85	43	shown	show	VERB
bitcs-6073	85	44	in	in	ADP
bitcs-6073	85	45	figure	figure	NOUN
bitcs-6073	85	46	5	5	NUM
bitcs-6073	85	47	.	.	PUNCT
bitcs-6073	85	48	figure	figure	NOUN
bitcs-6073	85	49	5	5	NUM
bitcs-6073	85	50	.	.	PUNCT
bitcs-6073	85	51	widget	widget	NOUN
bitcs-6073	85	52	design	design	NOUN
bitcs-6073	85	53	for	for	ADP
bitcs-6073	85	54	calculating	calculate	VERB
bitcs-6073	85	55	the	the	DET
bitcs-6073	85	56	success	success	NOUN
bitcs-6073	85	57	of	of	ADP
bitcs-6073	85	58	the	the	DET
bitcs-6073	85	59	classification	classification	NOUN
bitcs-6073	85	60	model	model	NOUN
bitcs-6073	85	61	in	in	ADP
bitcs-6073	85	62	figure	figure	NOUN
bitcs-6073	85	63	5	5	NUM
bitcs-6073	85	64	is	be	AUX
bitcs-6073	85	65	a	a	DET
bitcs-6073	85	66	widget	widget	NOUN
bitcs-6073	85	67	design	design	NOUN
bitcs-6073	85	68	that	that	PRON
bitcs-6073	85	69	has	have	AUX
bitcs-6073	85	70	been	be	AUX
bitcs-6073	85	71	added	add	VERB
bitcs-6073	85	72	to	to	ADP
bitcs-6073	85	73	the	the	DET
bitcs-6073	85	74	process	process	NOUN
bitcs-6073	85	75	of	of	ADP
bitcs-6073	85	76	calculating	calculate	VERB
bitcs-6073	85	77	the	the	DET
bitcs-6073	85	78	success	success	NOUN
bitcs-6073	85	79	rate	rate	NOUN
bitcs-6073	85	80	of	of	ADP
bitcs-6073	85	81	the	the	DET
bitcs-6073	85	82	classification	classification	NOUN
bitcs-6073	85	83	model	model	NOUN
bitcs-6073	85	84	using	use	VERB
bitcs-6073	85	85	the	the	DET
bitcs-6073	85	86	test	test	NOUN
bitcs-6073	85	87	and	and	CCONJ
bitcs-6073	85	88	score	score	NOUN
bitcs-6073	85	89	widget	widget	NOUN
bitcs-6073	85	90	,	,	PUNCT
bitcs-6073	85	91	which	which	PRON
bitcs-6073	85	92	will	will	AUX
bitcs-6073	85	93	then	then	ADV
bitcs-6073	85	94	be	be	AUX
bitcs-6073	85	95	evaluated	evaluate	VERB
bitcs-6073	85	96	for	for	ADP
bitcs-6073	85	97	accuracy	accuracy	NOUN
bitcs-6073	85	98	using	use	VERB
bitcs-6073	85	99	confusion	confusion	NOUN
bitcs-6073	85	100	matrix	matrix	NOUN
bitcs-6073	85	101	and	and	CCONJ
bitcs-6073	85	102	roc	roc	NOUN
bitcs-6073	85	103	analysis	analysis	NOUN
bitcs-6073	85	104	.	.	PUNCT
bitcs-6073	86	1	4	4	X
bitcs-6073	86	2	.	.	X
bitcs-6073	86	3	simulation	simulation	NOUN
bitcs-6073	86	4	results	result	NOUN
bitcs-6073	86	5	of	of	ADP
bitcs-6073	86	6	3	3	NUM
bitcs-6073	86	7	classification	classification	NOUN
bitcs-6073	86	8	models	model	NOUN
bitcs-6073	86	9	the	the	DET
bitcs-6073	86	10	simulation	simulation	NOUN
bitcs-6073	86	11	results	result	NOUN
bitcs-6073	86	12	of	of	ADP
bitcs-6073	86	13	the	the	DET
bitcs-6073	86	14	classification	classification	NOUN
bitcs-6073	86	15	model	model	NOUN
bitcs-6073	86	16	were	be	AUX
bitcs-6073	86	17	carried	carry	VERB
bitcs-6073	86	18	out	out	ADP
bitcs-6073	86	19	using	use	VERB
bitcs-6073	86	20	a	a	DET
bitcs-6073	86	21	test	test	NOUN
bitcs-6073	86	22	data	datum	NOUN
bitcs-6073	86	23	set	set	VERB
bitcs-6073	86	24	with	with	ADP
bitcs-6073	86	25	1	1	NUM
bitcs-6073	86	26	attribute	attribute	NOUN
bitcs-6073	86	27	as	as	ADP
bitcs-6073	86	28	the	the	DET
bitcs-6073	86	29	target	target	NOUN
bitcs-6073	86	30	,	,	PUNCT
bitcs-6073	86	31	10	10	NUM
bitcs-6073	86	32	numeric	numeric	ADJ
bitcs-6073	86	33	attributes	attribute	NOUN
bitcs-6073	86	34	,	,	PUNCT
bitcs-6073	86	35	namely	namely	ADV
bitcs-6073	86	36	nim	nim	PROPN
bitcs-6073	86	37	,	,	PUNCT
bitcs-6073	86	38	study	study	NOUN
bitcs-6073	86	39	program	program	NOUN
bitcs-6073	86	40	,	,	PUNCT
bitcs-6073	86	41	gender	gender	NOUN
bitcs-6073	86	42	,	,	PUNCT
bitcs-6073	86	43	marital	marital	ADJ
bitcs-6073	86	44	status	status	NOUN
bitcs-6073	86	45	,	,	PUNCT
bitcs-6073	86	46	employment	employment	NOUN
bitcs-6073	86	47	status	status	NOUN
bitcs-6073	86	48	,	,	PUNCT
bitcs-6073	86	49	3rd	3rd	PROPN
bitcs-6073	86	50	sem	sem	PROPN
bitcs-6073	86	51	gpa	gpa	PROPN
bitcs-6073	86	52	,	,	PUNCT
bitcs-6073	86	53	4th	4th	ADJ
bitcs-6073	86	54	sem	sem	PROPN
bitcs-6073	86	55	gpa	gpa	PROPN
bitcs-6073	86	56	,	,	PUNCT
bitcs-6073	86	57	5th	5th	ADJ
bitcs-6073	86	58	sem	sem	PROPN
bitcs-6073	86	59	gpa	gpa	PROPN
bitcs-6073	86	60	,	,	PUNCT
bitcs-6073	86	61	total	total	ADJ
bitcs-6073	86	62	sks	sk	NOUN
bitcs-6073	86	63	,	,	PUNCT
bitcs-6073	86	64	origin	origin	NOUN
bitcs-6073	86	65	students	student	NOUN
bitcs-6073	86	66	,	,	PUNCT
bitcs-6073	86	67	information	information	NOUN
bitcs-6073	86	68	,	,	PUNCT
bitcs-6073	86	69	so	so	SCONJ
bitcs-6073	86	70	that	that	SCONJ
bitcs-6073	86	71	test	test	NOUN
bitcs-6073	86	72	score	score	NOUN
bitcs-6073	86	73	results	result	NOUN
bitcs-6073	86	74	are	be	AUX
bitcs-6073	86	75	obtained	obtain	VERB
bitcs-6073	86	76	as	as	SCONJ
bitcs-6073	86	77	shown	show	VERB
bitcs-6073	86	78	in	in	ADP
bitcs-6073	86	79	figure	figure	NOUN
bitcs-6073	86	80	6	6	NUM
bitcs-6073	86	81	.	.	PUNCT
bitcs-6073	86	82	vol	vol	NOUN
bitcs-6073	86	83	.	.	PROPN
bitcs-6073	86	84	5	5	NUM
bitcs-6073	86	85	,	,	PUNCT
bitcs-6073	86	86	no.1	no.1	X
bitcs-6073	86	87	|	|	ADV
bitcs-6073	86	88	34	34	NUM
bitcs-6073	86	89	figure	figure	NOUN
bitcs-6073	86	90	6	6	NUM
bitcs-6073	86	91	.	.	PUNCT
bitcs-6073	86	92	test	test	NOUN
bitcs-6073	86	93	and	and	CCONJ
bitcs-6073	86	94	score	score	NOUN
bitcs-6073	86	95	widget	widget	NOUN
bitcs-6073	86	96	results	result	NOUN
bitcs-6073	86	97	based	base	VERB
bitcs-6073	86	98	on	on	ADP
bitcs-6073	86	99	student	student	NOUN
bitcs-6073	86	100	data	datum	NOUN
bitcs-6073	86	101	that	that	PRON
bitcs-6073	86	102	has	have	AUX
bitcs-6073	86	103	been	be	AUX
bitcs-6073	86	104	tested	test	VERB
bitcs-6073	86	105	,	,	PUNCT
bitcs-6073	86	106	the	the	DET
bitcs-6073	86	107	calculation	calculation	NOUN
bitcs-6073	86	108	results	result	NOUN
bitcs-6073	86	109	of	of	ADP
bitcs-6073	86	110	precision	precision	NOUN
bitcs-6073	86	111	,	,	PUNCT
bitcs-6073	86	112	recall	recall	NOUN
bitcs-6073	86	113	and	and	CCONJ
bitcs-6073	86	114	accuracy	accuracy	NOUN
bitcs-6073	86	115	for	for	ADP
bitcs-6073	86	116	each	each	DET
bitcs-6073	86	117	model	model	NOUN
bitcs-6073	86	118	are	be	AUX
bitcs-6073	86	119	obtained	obtain	VERB
bitcs-6073	86	120	as	as	SCONJ
bitcs-6073	86	121	shown	show	VERB
bitcs-6073	86	122	in	in	ADP
bitcs-6073	86	123	figure	figure	NOUN
bitcs-6073	86	124	6	6	NUM
bitcs-6073	86	125	.	.	PUNCT
bitcs-6073	86	126	model	model	NOUN
bitcs-6073	86	127	classification	classification	NOUN
bitcs-6073	86	128	resultsk	resultsk	NOUN
bitcs-6073	86	129	-	-	PUNCT
bitcs-6073	86	130	nn	nn	NOUN
bitcs-6073	86	131	,	,	PUNCT
bitcs-6073	86	132	decision	decision	NOUN
bitcs-6073	86	133	tree	tree	NOUN
bitcs-6073	86	134	as	as	ADV
bitcs-6073	86	135	well	well	ADV
bitcs-6073	86	136	asnaive	asnaive	ADJ
bitcs-6073	86	137	bayes	bayes	PROPN
bitcs-6073	86	138	shows	show	VERB
bitcs-6073	86	139	that	that	SCONJ
bitcs-6073	86	140	the	the	DET
bitcs-6073	86	141	accuracy	accuracy	NOUN
bitcs-6073	86	142	valuedecision	valuedecision	NOUN
bitcs-6073	86	143	tree	tree	NOUN
bitcs-6073	86	144	the	the	DET
bitcs-6073	86	145	highest	high	ADJ
bitcs-6073	86	146	is	be	AUX
bitcs-6073	86	147	78	78	NUM
bitcs-6073	86	148	%	%	NOUN
bitcs-6073	86	149	.	.	PUNCT
bitcs-6073	87	1	based	base	VERB
bitcs-6073	87	2	on	on	ADP
bitcs-6073	87	3	figure	figure	NOUN
bitcs-6073	87	4	6	6	NUM
bitcs-6073	87	5	which	which	PRON
bitcs-6073	87	6	also	also	ADV
bitcs-6073	87	7	shows	show	VERB
bitcs-6073	87	8	a	a	DET
bitcs-6073	87	9	comparison	comparison	NOUN
bitcs-6073	87	10	of	of	ADP
bitcs-6073	87	11	3	3	NUM
bitcs-6073	87	12	auc	auc	NOUN
bitcs-6073	87	13	models	model	NOUN
bitcs-6073	87	14	,	,	PUNCT
bitcs-6073	87	15	it	it	PRON
bitcs-6073	87	16	is	be	AUX
bitcs-6073	87	17	known	know	VERB
bitcs-6073	87	18	that	that	SCONJ
bitcs-6073	87	19	the	the	DET
bitcs-6073	87	20	highest	high	ADJ
bitcs-6073	87	21	auc	auc	NOUN
bitcs-6073	87	22	value	value	NOUN
bitcs-6073	87	23	is	be	AUX
bitcs-6073	87	24	the	the	DET
bitcs-6073	87	25	methodk	methodk	NOUN
bitcs-6073	87	26	-	-	PUNCT
bitcs-6073	87	27	nn	nn	NOUN
bitcs-6073	87	28	namely	namely	ADV
bitcs-6073	87	29	0.795	0.795	NUM
bitcs-6073	87	30	.	.	PUNCT
bitcs-6073	88	1	auc	auc	NOUN
bitcs-6073	88	2	is	be	AUX
bitcs-6073	88	3	used	use	VERB
bitcs-6073	88	4	to	to	PART
bitcs-6073	88	5	measure	measure	VERB
bitcs-6073	88	6	discriminatory	discriminatory	ADJ
bitcs-6073	88	7	performance	performance	NOUN
bitcs-6073	88	8	by	by	ADP
bitcs-6073	88	9	estimating	estimate	VERB
bitcs-6073	88	10	the	the	DET
bitcs-6073	88	11	probability	probability	NOUN
bitcs-6073	88	12	of	of	ADP
bitcs-6073	88	13	output	output	NOUN
bitcs-6073	88	14	from	from	ADP
bitcs-6073	88	15	randomly	randomly	ADV
bitcs-6073	88	16	selected	select	VERB
bitcs-6073	88	17	examples	example	NOUN
bitcs-6073	88	18	from	from	ADP
bitcs-6073	88	19	a	a	DET
bitcs-6073	88	20	positive	positive	ADJ
bitcs-6073	88	21	or	or	CCONJ
bitcs-6073	88	22	negative	negative	ADJ
bitcs-6073	88	23	population	population	NOUN
bitcs-6073	88	24	.	.	PUNCT
bitcs-6073	89	1	the	the	DET
bitcs-6073	89	2	greater	great	ADJ
bitcs-6073	89	3	the	the	DET
bitcs-6073	89	4	auc	auc	NOUN
bitcs-6073	89	5	,	,	PUNCT
bitcs-6073	89	6	the	the	PRON
bitcs-6073	89	7	better	well	ADJ
bitcs-6073	89	8	the	the	DET
bitcs-6073	89	9	classification	classification	NOUN
bitcs-6073	89	10	results	result	NOUN
bitcs-6073	89	11	used	use	VERB
bitcs-6073	89	12	.	.	PUNCT
bitcs-6073	90	1	5	5	X
bitcs-6073	90	2	.	.	X
bitcs-6073	90	3	evaluation	evaluation	NOUN
bitcs-6073	90	4	results	result	NOUN
bitcs-6073	90	5	with	with	ADP
bitcs-6073	90	6	confusion	confusion	NOUN
bitcs-6073	90	7	matrix	matrix	NOUN
bitcs-6073	90	8	confusion	confusion	NOUN
bitcs-6073	90	9	matrix	matrix	NOUN
bitcs-6073	90	10	is	be	AUX
bitcs-6073	90	11	a	a	DET
bitcs-6073	90	12	performance	performance	NOUN
bitcs-6073	90	13	measurement	measurement	NOUN
bitcs-6073	90	14	for	for	ADP
bitcs-6073	90	15	machine	machine	NOUN
bitcs-6073	90	16	learning	learn	VERB
bitcs-6073	90	17	classification	classification	NOUN
bitcs-6073	90	18	problems	problem	NOUN
bitcs-6073	90	19	where	where	SCONJ
bitcs-6073	90	20	the	the	DET
bitcs-6073	90	21	output	output	NOUN
bitcs-6073	90	22	can	can	AUX
bitcs-6073	90	23	be	be	AUX
bitcs-6073	90	24	in	in	ADP
bitcs-6073	90	25	the	the	DET
bitcs-6073	90	26	form	form	NOUN
bitcs-6073	90	27	of	of	ADP
bitcs-6073	90	28	2	2	NUM
bitcs-6073	90	29	or	or	CCONJ
bitcs-6073	90	30	more	more	ADJ
bitcs-6073	90	31	classes	class	NOUN
bitcs-6073	90	32	.	.	PUNCT
bitcs-6073	91	1	confusion	confusion	NOUN
bitcs-6073	91	2	matrix	matrix	NOUN
bitcs-6073	91	3	is	be	AUX
bitcs-6073	91	4	a	a	DET
bitcs-6073	91	5	table	table	NOUN
bitcs-6073	91	6	with	with	ADP
bitcs-6073	91	7	4	4	NUM
bitcs-6073	91	8	different	different	ADJ
bitcs-6073	91	9	mixtures	mixture	NOUN
bitcs-6073	91	10	of	of	ADP
bitcs-6073	91	11	predicted	predict	VERB
bitcs-6073	91	12	values	value	NOUN
bitcs-6073	91	13	and	and	CCONJ
bitcs-6073	91	14	actual	actual	ADJ
bitcs-6073	91	15	values	value	NOUN
bitcs-6073	91	16	.	.	PUNCT
bitcs-6073	92	1	the	the	DET
bitcs-6073	92	2	evaluation	evaluation	NOUN
bitcs-6073	92	3	results	result	VERB
bitcs-6073	92	4	for	for	ADP
bitcs-6073	92	5	each	each	DET
bitcs-6073	92	6	classification	classification	NOUN
bitcs-6073	92	7	model	model	NOUN
bitcs-6073	92	8	can	can	AUX
bitcs-6073	92	9	be	be	AUX
bitcs-6073	92	10	seen	see	VERB
bitcs-6073	92	11	in	in	ADP
bitcs-6073	92	12	figure	figure	NOUN
bitcs-6073	92	13	7	7	NUM
bitcs-6073	92	14	for	for	ADP
bitcs-6073	92	15	the	the	DET
bitcs-6073	92	16	k	k	PROPN
bitcs-6073	92	17	-	-	PUNCT
bitcs-6073	92	18	nn	nn	ADJ
bitcs-6073	92	19	model	model	NOUN
bitcs-6073	92	20	,	,	PUNCT
bitcs-6073	92	21	while	while	SCONJ
bitcs-6073	92	22	the	the	DET
bitcs-6073	92	23	confusion	confusion	NOUN
bitcs-6073	92	24	matrix	matrix	NOUN
bitcs-6073	92	25	results	result	NOUN
bitcs-6073	92	26	for	for	ADP
bitcs-6073	92	27	the	the	DET
bitcs-6073	92	28	decision	decision	NOUN
bitcs-6073	92	29	tree	tree	NOUN
bitcs-6073	92	30	model	model	NOUN
bitcs-6073	92	31	can	can	AUX
bitcs-6073	92	32	be	be	AUX
bitcs-6073	92	33	seen	see	VERB
bitcs-6073	92	34	in	in	ADP
bitcs-6073	92	35	figure	figure	NOUN
bitcs-6073	92	36	8	8	NUM
bitcs-6073	92	37	and	and	CCONJ
bitcs-6073	92	38	the	the	DET
bitcs-6073	92	39	confusion	confusion	NOUN
bitcs-6073	92	40	matrix	matrix	NOUN
bitcs-6073	92	41	values	value	NOUN
bitcs-6073	92	42	for	for	ADP
bitcs-6073	92	43	the	the	DET
bitcs-6073	92	44	naive	naive	ADJ
bitcs-6073	92	45	bayes	bayes	NOUN
bitcs-6073	92	46	model	model	NOUN
bitcs-6073	92	47	can	can	AUX
bitcs-6073	92	48	be	be	AUX
bitcs-6073	92	49	seen	see	VERB
bitcs-6073	92	50	in	in	ADP
bitcs-6073	92	51	figure	figure	NOUN
bitcs-6073	92	52	9	9	NUM
bitcs-6073	92	53	.	.	PUNCT
bitcs-6073	93	1	figure	figure	NOUN
bitcs-6073	93	2	7	7	NUM
bitcs-6073	93	3	.	.	PUNCT
bitcs-6073	93	4	confusion	confusion	NOUN
bitcs-6073	93	5	matrix	matrix	NOUN
bitcs-6073	93	6	value	value	NOUN
bitcs-6073	93	7	of	of	ADP
bitcs-6073	93	8	the	the	DET
bitcs-6073	93	9	k	k	PROPN
bitcs-6073	93	10	-	-	PUNCT
bitcs-6073	93	11	nn	nn	PROPN
bitcs-6073	93	12	method	method	NOUN
bitcs-6073	93	13	figure	figure	NOUN
bitcs-6073	93	14	7	7	NUM
bitcs-6073	93	15	shows	show	VERB
bitcs-6073	93	16	that	that	SCONJ
bitcs-6073	93	17	the	the	DET
bitcs-6073	93	18	value	value	NOUN
bitcs-6073	93	19	of	of	ADP
bitcs-6073	93	20	true	true	ADJ
bitcs-6073	93	21	positive	positive	ADJ
bitcs-6073	93	22	(	(	PUNCT
bitcs-6073	93	23	tp	tp	NOUN
bitcs-6073	93	24	)	)	PUNCT
bitcs-6073	93	25	is	be	AUX
bitcs-6073	93	26	541	541	NUM
bitcs-6073	93	27	,	,	PUNCT
bitcs-6073	93	28	true	true	ADJ
bitcs-6073	93	29	negative	negative	ADJ
bitcs-6073	93	30	(	(	PUNCT
bitcs-6073	93	31	tn	tn	NOUN
bitcs-6073	93	32	)	)	PUNCT
bitcs-6073	93	33	is	be	AUX
bitcs-6073	93	34	154	154	NUM
bitcs-6073	93	35	,	,	PUNCT
bitcs-6073	93	36	false	false	ADJ
bitcs-6073	93	37	positive	positive	ADJ
bitcs-6073	93	38	(	(	PUNCT
bitcs-6073	93	39	fp	fp	X
bitcs-6073	93	40	)	)	PUNCT
bitcs-6073	93	41	is	be	AUX
bitcs-6073	93	42	83	83	NUM
bitcs-6073	93	43	,	,	PUNCT
bitcs-6073	93	44	and	and	CCONJ
bitcs-6073	93	45	false	false	ADJ
bitcs-6073	93	46	negative	negative	ADJ
bitcs-6073	93	47	(	(	PUNCT
bitcs-6073	93	48	fn	fn	NOUN
bitcs-6073	93	49	)	)	PUNCT
bitcs-6073	93	50	is	be	AUX
bitcs-6073	93	51	140	140	NUM
bitcs-6073	93	52	.	.	PUNCT
bitcs-6073	94	1	so	so	ADV
bitcs-6073	94	2	the	the	DET
bitcs-6073	94	3	accuracy	accuracy	NOUN
bitcs-6073	94	4	,	,	PUNCT
bitcs-6073	94	5	precision	precision	NOUN
bitcs-6073	94	6	and	and	CCONJ
bitcs-6073	94	7	recall	recall	NOUN
bitcs-6073	94	8	values	value	NOUN
bitcs-6073	94	9	of	of	ADP
bitcs-6073	94	10	the	the	DET
bitcs-6073	94	11	k	k	PROPN
bitcs-6073	94	12	method	method	NOUN
bitcs-6073	94	13	-nn	-nn	PUNCT
bitcs-6073	94	14	is	be	AUX
bitcs-6073	94	15	as	as	SCONJ
bitcs-6073	94	16	follows	follow	VERB
bitcs-6073	94	17	:	:	PUNCT
bitcs-6073	94	18	vol	vol	NOUN
bitcs-6073	94	19	.	.	PROPN
bitcs-6073	94	20	5	5	NUM
bitcs-6073	94	21	,	,	PUNCT
bitcs-6073	94	22	no.1	no.1	NUM
bitcs-6073	94	23	|	|	NOUN
bitcs-6073	94	24	35	35	NUM
bitcs-6073	94	25	figure	figure	NOUN
bitcs-6073	94	26	8	8	NUM
bitcs-6073	94	27	.	.	PUNCT
bitcs-6073	94	28	confusion	confusion	NOUN
bitcs-6073	94	29	matrix	matrix	NOUN
bitcs-6073	94	30	value	value	NOUN
bitcs-6073	94	31	for	for	ADP
bitcs-6073	94	32	the	the	DET
bitcs-6073	94	33	decision	decision	NOUN
bitcs-6073	94	34	tree	tree	NOUN
bitcs-6073	94	35	method	method	NOUN
bitcs-6073	94	36	figure	figure	NOUN
bitcs-6073	94	37	8	8	NUM
bitcs-6073	94	38	shows	show	VERB
bitcs-6073	94	39	that	that	SCONJ
bitcs-6073	94	40	the	the	DET
bitcs-6073	94	41	value	value	NOUN
bitcs-6073	94	42	of	of	ADP
bitcs-6073	94	43	true	true	ADJ
bitcs-6073	94	44	positive	positive	ADJ
bitcs-6073	94	45	(	(	PUNCT
bitcs-6073	94	46	tp	tp	NOUN
bitcs-6073	94	47	)	)	PUNCT
bitcs-6073	94	48	is	be	AUX
bitcs-6073	94	49	535	535	NUM
bitcs-6073	94	50	,	,	PUNCT
bitcs-6073	94	51	true	true	ADJ
bitcs-6073	94	52	negative	negative	ADJ
bitcs-6073	94	53	(	(	PUNCT
bitcs-6073	94	54	tn	tn	NOUN
bitcs-6073	94	55	)	)	PUNCT
bitcs-6073	94	56	is	be	AUX
bitcs-6073	94	57	182	182	NUM
bitcs-6073	94	58	,	,	PUNCT
bitcs-6073	94	59	false	false	ADJ
bitcs-6073	94	60	positive	positive	ADJ
bitcs-6073	94	61	(	(	PUNCT
bitcs-6073	94	62	fp	fp	NOUN
bitcs-6073	94	63	)	)	PUNCT
bitcs-6073	94	64	is	be	AUX
bitcs-6073	94	65	89	89	NUM
bitcs-6073	94	66	,	,	PUNCT
bitcs-6073	94	67	and	and	CCONJ
bitcs-6073	94	68	false	false	ADJ
bitcs-6073	94	69	negative	negative	ADJ
bitcs-6073	94	70	(	(	PUNCT
bitcs-6073	94	71	fn	fn	NOUN
bitcs-6073	94	72	)	)	PUNCT
bitcs-6073	94	73	is	be	AUX
bitcs-6073	94	74	112	112	NUM
bitcs-6073	94	75	.	.	PUNCT
bitcs-6073	95	1	so	so	ADV
bitcs-6073	95	2	the	the	DET
bitcs-6073	95	3	accuracy	accuracy	NOUN
bitcs-6073	95	4	,	,	PUNCT
bitcs-6073	95	5	precision	precision	NOUN
bitcs-6073	95	6	and	and	CCONJ
bitcs-6073	95	7	recall	recall	NOUN
bitcs-6073	95	8	values	value	NOUN
bitcs-6073	95	9	of	of	ADP
bitcs-6073	95	10	the	the	DET
bitcs-6073	95	11	decision	decision	NOUN
bitcs-6073	95	12	method	method	NOUN
bitcs-6073	95	13	tree	tree	NOUN
bitcs-6073	95	14	is	be	AUX
bitcs-6073	95	15	as	as	SCONJ
bitcs-6073	95	16	follows	follow	VERB
bitcs-6073	95	17	:	:	PUNCT
bitcs-6073	95	18	figure	figure	NOUN
bitcs-6073	95	19	9	9	NUM
bitcs-6073	95	20	.	.	PUNCT
bitcs-6073	95	21	confusion	confusion	NOUN
bitcs-6073	95	22	matrix	matrix	NOUN
bitcs-6073	95	23	value	value	NOUN
bitcs-6073	95	24	of	of	ADP
bitcs-6073	95	25	the	the	DET
bitcs-6073	95	26	naive	naive	ADJ
bitcs-6073	95	27	bayes	bayes	NOUN
bitcs-6073	95	28	method	method	NOUN
bitcs-6073	95	29	figure	figure	NOUN
bitcs-6073	95	30	9	9	NUM
bitcs-6073	95	31	shows	show	VERB
bitcs-6073	95	32	that	that	SCONJ
bitcs-6073	95	33	the	the	DET
bitcs-6073	95	34	value	value	NOUN
bitcs-6073	95	35	oftrue	oftrue	X
bitcs-6073	95	36	positif	positif	NOUN
bitcs-6073	95	37	(	(	PUNCT
bitcs-6073	95	38	tp	tp	NOUN
bitcs-6073	95	39	)	)	PUNCT
bitcs-6073	95	40	is	be	AUX
bitcs-6073	95	41	552	552	NUM
bitcs-6073	95	42	,	,	PUNCT
bitcs-6073	95	43	true	true	ADJ
bitcs-6073	95	44	negative	negative	ADJ
bitcs-6073	95	45	(	(	PUNCT
bitcs-6073	95	46	tn	tn	NOUN
bitcs-6073	95	47	)	)	PUNCT
bitcs-6073	95	48	is	be	AUX
bitcs-6073	95	49	162false	162false	PROPN
bitcs-6073	95	50	positive	positive	ADJ
bitcs-6073	95	51	(	(	PUNCT
bitcs-6073	95	52	fp	fp	X
bitcs-6073	95	53	)	)	PUNCT
bitcs-6073	95	54	is	be	AUX
bitcs-6073	95	55	72	72	NUM
bitcs-6073	95	56	,	,	PUNCT
bitcs-6073	95	57	andfalse	andfalse	ADJ
bitcs-6073	95	58	negative	negative	ADJ
bitcs-6073	95	59	(	(	PUNCT
bitcs-6073	95	60	fn	fn	NOUN
bitcs-6073	95	61	)	)	PUNCT
bitcs-6073	95	62	is	be	AUX
bitcs-6073	95	63	132	132	NUM
bitcs-6073	95	64	.	.	PUNCT
bitcs-6073	96	1	then	then	ADV
bitcs-6073	96	2	the	the	DET
bitcs-6073	96	3	valueaccuracy	valueaccuracy	NOUN
bitcs-6073	96	4	,	,	PUNCT
bitcs-6073	96	5	precision	precision	NOUN
bitcs-6073	96	6	dan	dan	PROPN
bitcs-6073	96	7	recall	recall	PROPN
bitcs-6073	96	8	from	from	ADP
bitcs-6073	96	9	the	the	DET
bitcs-6073	96	10	methodnaive	methodnaive	ADJ
bitcs-6073	96	11	bayes	bayes	PROPN
bitcs-6073	96	12	are	be	AUX
bitcs-6073	96	13	as	as	SCONJ
bitcs-6073	96	14	follows	follow	VERB
bitcs-6073	96	15	:	:	PUNCT
bitcs-6073	96	16	based	base	VERB
bitcs-6073	96	17	on	on	ADP
bitcs-6073	96	18	the	the	DET
bitcs-6073	96	19	results	result	NOUN
bitcs-6073	96	20	of	of	ADP
bitcs-6073	96	21	evaluation	evaluation	NOUN
bitcs-6073	96	22	and	and	CCONJ
bitcs-6073	96	23	validation	validation	NOUN
bitcs-6073	96	24	usingconfusion	usingconfusion	NOUN
bitcs-6073	96	25	matrix	matrix	NOUN
bitcs-6073	96	26	comparative	comparative	ADJ
bitcs-6073	96	27	values	value	NOUN
bitcs-6073	96	28	are	be	AUX
bitcs-6073	96	29	obtainedaccuracy	obtainedaccuracy	ADJ
bitcs-6073	96	30	,	,	PUNCT
bitcs-6073	96	31	precision	precision	NOUN
bitcs-6073	96	32	dan	dan	PROPN
bitcs-6073	96	33	recall	recall	PROPN
bitcs-6073	96	34	of	of	ADP
bitcs-6073	96	35	3	3	NUM
bitcs-6073	96	36	methodsk	methodsk	NOUN
bitcs-6073	96	37	-	-	PUNCT
bitcs-6073	96	38	nn	nn	ADJ
bitcs-6073	96	39	,	,	PUNCT
bitcs-6073	96	40	naive	naive	ADJ
bitcs-6073	96	41	bayes	bayes	NOUN
bitcs-6073	96	42	,	,	PUNCT
bitcs-6073	96	43	and	and	CCONJ
bitcs-6073	96	44	decision	decision	NOUN
bitcs-6073	96	45	tree	tree	NOUN
bitcs-6073	96	46	as	as	SCONJ
bitcs-6073	96	47	seen	see	VERB
bitcs-6073	96	48	in	in	ADP
bitcs-6073	96	49	table	table	NOUN
bitcs-6073	96	50	2	2	NUM
bitcs-6073	96	51	.	.	NUM
bitcs-6073	96	52	vol	vol	NOUN
bitcs-6073	96	53	.	.	PROPN
bitcs-6073	96	54	5	5	NUM
bitcs-6073	96	55	,	,	PUNCT
bitcs-6073	96	56	no.1	no.1	X
bitcs-6073	96	57	|	|	ADV
bitcs-6073	96	58	36	36	NUM
bitcs-6073	96	59	table	table	NOUN
bitcs-6073	96	60	2	2	NUM
bitcs-6073	96	61	.	.	PUNCT
bitcs-6073	96	62	performance	performance	NOUN
bitcs-6073	96	63	comparison	comparison	NOUN
bitcs-6073	96	64	metode	metode	PROPN
bitcs-6073	96	65	accuracy	accuracy	PROPN
bitcs-6073	96	66	precision	precision	PROPN
bitcs-6073	96	67	recall	recall	VERB
bitcs-6073	96	68	k	k	PROPN
bitcs-6073	96	69	-	-	PUNCT
bitcs-6073	96	70	nn	nn	PROPN
bitcs-6073	96	71	75,7	75,7	NUM
bitcs-6073	96	72	%	%	NOUN
bitcs-6073	96	73	74,8	74,8	NUM
bitcs-6073	96	74	%	%	NOUN
bitcs-6073	96	75	75,7	75,7	NUM
bitcs-6073	96	76	%	%	NOUN
bitcs-6073	96	77	nalive	nalive	ADJ
bitcs-6073	96	78	balyes	balyes	NOUN
bitcs-6073	96	79	77,8	77,8	NUM
bitcs-6073	96	80	%	%	NOUN
bitcs-6073	96	81	77	77	NUM
bitcs-6073	96	82	%	%	NOUN
bitcs-6073	96	83	77,8	77,8	NUM
bitcs-6073	96	84	%	%	NOUN
bitcs-6073	96	85	decision	decision	NOUN
bitcs-6073	96	86	tree	tree	NOUN
bitcs-6073	96	87	78,1	78,1	NOUN
bitcs-6073	96	88	%	%	NOUN
bitcs-6073	96	89	77,7	77,7	NUM
bitcs-6073	96	90	%	%	NOUN
bitcs-6073	96	91	78,1	78,1	NUM
bitcs-6073	96	92	%	%	NOUN
bitcs-6073	96	93	based	base	VERB
bitcs-6073	96	94	on	on	ADP
bitcs-6073	96	95	table	table	NOUN
bitcs-6073	96	96	2	2	NUM
bitcs-6073	96	97	,	,	PUNCT
bitcs-6073	96	98	it	it	PRON
bitcs-6073	96	99	can	can	AUX
bitcs-6073	96	100	be	be	AUX
bitcs-6073	96	101	seen	see	VERB
bitcs-6073	96	102	that	that	SCONJ
bitcs-6073	96	103	the	the	DET
bitcs-6073	96	104	performance	performance	NOUN
bitcs-6073	96	105	of	of	ADP
bitcs-6073	96	106	the	the	DET
bitcs-6073	96	107	modelnaive	modelnaive	ADJ
bitcs-6073	96	108	bayes	bayes	NOUN
bitcs-6073	96	109	better	well	ADV
bitcs-6073	96	110	than	than	ADP
bitcs-6073	96	111	the	the	DET
bitcs-6073	96	112	modelknn	modelknn	NOUN
bitcs-6073	96	113	anddecision	anddecision	NOUN
bitcs-6073	96	114	tree	tree	NOUN
bitcs-6073	96	115	.	.	PUNCT
bitcs-6073	97	1	classification	classification	NOUN
bitcs-6073	97	2	accuracy	accuracy	NOUN
bitcs-6073	97	3	can	can	AUX
bitcs-6073	97	4	not	not	PART
bitcs-6073	97	5	achieve	achieve	VERB
bitcs-6073	97	6	perfect	perfect	ADJ
bitcs-6073	97	7	results	result	NOUN
bitcs-6073	97	8	because	because	SCONJ
bitcs-6073	97	9	there	there	PRON
bitcs-6073	97	10	must	must	AUX
bitcs-6073	97	11	be	be	AUX
bitcs-6073	97	12	error	error	NOUN
bitcs-6073	97	13	values	value	NOUN
bitcs-6073	97	14	.	.	PUNCT
bitcs-6073	98	1	this	this	PRON
bitcs-6073	98	2	is	be	AUX
bitcs-6073	98	3	influenced	influence	VERB
bitcs-6073	98	4	by	by	ADP
bitcs-6073	98	5	the	the	DET
bitcs-6073	98	6	amount	amount	NOUN
bitcs-6073	98	7	of	of	ADP
bitcs-6073	98	8	test	test	NOUN
bitcs-6073	98	9	data	datum	NOUN
bitcs-6073	98	10	and	and	CCONJ
bitcs-6073	98	11	training	training	NOUN
bitcs-6073	98	12	data	datum	NOUN
bitcs-6073	98	13	used	use	VERB
bitcs-6073	98	14	in	in	ADP
bitcs-6073	98	15	the	the	DET
bitcs-6073	98	16	simulation	simulation	NOUN
bitcs-6073	98	17	process	process	NOUN
bitcs-6073	98	18	carried	carry	VERB
bitcs-6073	98	19	out	out	ADP
bitcs-6073	98	20	.	.	PUNCT
bitcs-6073	99	1	6	6	X
bitcs-6073	99	2	.	.	X
bitcs-6073	99	3	evaluation	evaluation	NOUN
bitcs-6073	99	4	results	result	NOUN
bitcs-6073	99	5	with	with	ADP
bitcs-6073	99	6	roc	roc	PROPN
bitcs-6073	99	7	curve	curve	NOUN
bitcs-6073	99	8	manual	manual	ADJ
bitcs-6073	99	9	accuracy	accuracy	NOUN
bitcs-6073	99	10	values	value	NOUN
bitcs-6073	99	11	can	can	AUX
bitcs-6073	99	12	be	be	AUX
bitcs-6073	99	13	done	do	VERB
bitcs-6073	99	14	by	by	ADP
bitcs-6073	99	15	looking	look	VERB
bitcs-6073	99	16	at	at	ADP
bitcs-6073	99	17	the	the	DET
bitcs-6073	99	18	roc	roc	PROPN
bitcs-6073	99	19	curve	curve	PROPN
bitcs-6073	99	20	comparison	comparison	NOUN
bitcs-6073	99	21	visualized	visualize	VERB
bitcs-6073	99	22	from	from	ADP
bitcs-6073	99	23	the	the	DET
bitcs-6073	99	24	confusion	confusion	NOUN
bitcs-6073	99	25	matrix	matrix	NOUN
bitcs-6073	99	26	.	.	PUNCT
bitcs-6073	100	1	model	model	NOUN
bitcs-6073	100	2	viewing	view	VERB
bitcs-6073	100	3	roc	roc	PROPN
bitcs-6073	100	4	curves	curve	NOUN
bitcs-6073	100	5	are	be	AUX
bitcs-6073	100	6	the	the	DET
bitcs-6073	100	7	most	most	ADV
bitcs-6073	100	8	easily	easily	ADV
bitcs-6073	100	9	visible	visible	ADJ
bitcs-6073	100	10	way	way	NOUN
bitcs-6073	100	11	to	to	PART
bitcs-6073	100	12	graphically	graphically	ADV
bitcs-6073	100	13	compare	compare	VERB
bitcs-6073	100	14	the	the	DET
bitcs-6073	100	15	accuracy	accuracy	NOUN
bitcs-6073	100	16	values	value	NOUN
bitcs-6073	100	17	of	of	ADP
bitcs-6073	100	18	each	each	DET
bitcs-6073	100	19	classification	classification	NOUN
bitcs-6073	100	20	model	model	NOUN
bitcs-6073	100	21	.	.	PUNCT
bitcs-6073	101	1	the	the	DET
bitcs-6073	101	2	graphical	graphical	ADJ
bitcs-6073	101	3	results	result	NOUN
bitcs-6073	101	4	of	of	ADP
bitcs-6073	101	5	the	the	DET
bitcs-6073	101	6	roc	roc	PROPN
bitcs-6073	101	7	can	can	AUX
bitcs-6073	101	8	be	be	AUX
bitcs-6073	101	9	seen	see	VERB
bitcs-6073	101	10	in	in	ADP
bitcs-6073	101	11	figures	figure	NOUN
bitcs-6073	101	12	10	10	NUM
bitcs-6073	101	13	and	and	CCONJ
bitcs-6073	101	14	11	11	NUM
bitcs-6073	101	15	.	.	PUNCT
bitcs-6073	102	1	figure	figure	VERB
bitcs-6073	102	2	10	10	NUM
bitcs-6073	102	3	shows	show	VERB
bitcs-6073	102	4	that	that	SCONJ
bitcs-6073	102	5	the	the	DET
bitcs-6073	102	6	roc	roc	PROPN
bitcs-6073	102	7	analysis	analysis	NOUN
bitcs-6073	102	8	results	result	NOUN
bitcs-6073	102	9	for	for	ADP
bitcs-6073	102	10	student	student	NOUN
bitcs-6073	102	11	graduation	graduation	NOUN
bitcs-6073	102	12	at	at	ADP
bitcs-6073	102	13	muhammadiyah	muhammadiyah	NOUN
bitcs-6073	102	14	university	university	PROPN
bitcs-6073	102	15	of	of	ADP
bitcs-6073	102	16	pringsewu	pringsewu	PROPN
bitcs-6073	102	17	are	be	AUX
bitcs-6073	102	18	correct	correct	ADJ
bitcs-6073	102	19	in	in	ADP
bitcs-6073	102	20	each	each	DET
bitcs-6073	102	21	model	model	NOUN
bitcs-6073	102	22	as	as	SCONJ
bitcs-6073	102	23	follows	follow	VERB
bitcs-6073	102	24	:	:	PUNCT
bitcs-6073	102	25	(	(	PUNCT
bitcs-6073	102	26	1)k	1)k	NUM
bitcs-6073	102	27	-	-	SYM
bitcs-6073	102	28	nn	nn	PROPN
bitcs-6073	102	29	is	be	AUX
bitcs-6073	102	30	0.500	0.500	NUM
bitcs-6073	102	31	,	,	PUNCT
bitcs-6073	102	32	(	(	PUNCT
bitcs-6073	102	33	2	2	X
bitcs-6073	102	34	)	)	PUNCT
bitcs-6073	102	35	naive	naive	ADJ
bitcs-6073	102	36	bayes	bayes	NOUN
bitcs-6073	102	37	is	be	AUX
bitcs-6073	102	38	0.500	0.500	NUM
bitcs-6073	102	39	,	,	PUNCT
bitcs-6073	102	40	and	and	CCONJ
bitcs-6073	102	41	(	(	PUNCT
bitcs-6073	102	42	3	3	X
bitcs-6073	102	43	)	)	PUNCT
bitcs-6073	102	44	decision	decision	NOUN
bitcs-6073	102	45	tree	tree	NOUN
bitcs-6073	102	46	is	be	AUX
bitcs-6073	102	47	0.600	0.600	NUM
bitcs-6073	102	48	.	.	PUNCT
bitcs-6073	103	1	therefore	therefore	ADV
bitcs-6073	103	2	,	,	PUNCT
bitcs-6073	103	3	for	for	ADP
bitcs-6073	103	4	this	this	DET
bitcs-6073	103	5	case	case	NOUN
bitcs-6073	103	6	study	study	NOUN
bitcs-6073	103	7	,	,	PUNCT
bitcs-6073	103	8	the	the	DET
bitcs-6073	103	9	model	model	NOUN
bitcs-6073	103	10	that	that	PRON
bitcs-6073	103	11	has	have	VERB
bitcs-6073	103	12	the	the	DET
bitcs-6073	103	13	best	good	ADJ
bitcs-6073	103	14	accuracy	accuracy	NOUN
bitcs-6073	103	15	value	value	NOUN
bitcs-6073	103	16	isnaive	isnaive	ADJ
bitcs-6073	103	17	bayes	bayes	PROPN
bitcs-6073	103	18	andk	andk	NOUN
bitcs-6073	103	19	-	-	PUNCT
bitcs-6073	103	20	nn	nn	NOUN
bitcs-6073	103	21	because	because	SCONJ
bitcs-6073	103	22	the	the	DET
bitcs-6073	103	23	curve	curve	NOUN
bitcs-6073	103	24	approaches	approach	VERB
bitcs-6073	103	25	the	the	DET
bitcs-6073	103	26	point	point	NOUN
bitcs-6073	103	27	0.1	0.1	NUM
bitcs-6073	103	28	.	.	PUNCT
bitcs-6073	103	29	figure	figure	NOUN
bitcs-6073	103	30	10	10	NUM
bitcs-6073	103	31	.	.	PUNCT
bitcs-6073	104	1	roc	roc	NOUN
bitcs-6073	104	2	analysis	analysis	NOUN
bitcs-6073	104	3	with	with	ADP
bitcs-6073	104	4	the	the	DET
bitcs-6073	104	5	true	true	ADJ
bitcs-6073	104	6	student	student	NOUN
bitcs-6073	104	7	graduation	graduation	NOUN
bitcs-6073	104	8	target	target	NOUN
bitcs-6073	104	9	figure	figure	NOUN
bitcs-6073	104	10	11	11	NUM
bitcs-6073	104	11	shows	show	VERB
bitcs-6073	104	12	that	that	SCONJ
bitcs-6073	104	13	the	the	DET
bitcs-6073	104	14	results	result	NOUN
bitcs-6073	104	15	of	of	ADP
bitcs-6073	104	16	the	the	DET
bitcs-6073	104	17	roc	roc	PROPN
bitcs-6073	104	18	analysis	analysis	NOUN
bitcs-6073	104	19	of	of	ADP
bitcs-6073	104	20	late	late	ADJ
bitcs-6073	104	21	graduation	graduation	NOUN
bitcs-6073	104	22	of	of	ADP
bitcs-6073	104	23	pringsewu	pringsewu	PROPN
bitcs-6073	104	24	muhammadiyah	muhammadiyah	PROPN
bitcs-6073	104	25	university	university	NOUN
bitcs-6073	104	26	students	student	NOUN
bitcs-6073	104	27	in	in	ADP
bitcs-6073	104	28	each	each	DET
bitcs-6073	104	29	classification	classification	NOUN
bitcs-6073	104	30	model	model	NOUN
bitcs-6073	104	31	are	be	AUX
bitcs-6073	104	32	as	as	SCONJ
bitcs-6073	104	33	follows	follow	VERB
bitcs-6073	104	34	:	:	PUNCT
bitcs-6073	104	35	(	(	PUNCT
bitcs-6073	104	36	1)k	1)k	NUM
bitcs-6073	104	37	-	-	SYM
bitcs-6073	104	38	nn	nn	PROPN
bitcs-6073	104	39	is	be	AUX
bitcs-6073	104	40	0.500	0.500	NUM
bitcs-6073	104	41	,	,	PUNCT
bitcs-6073	104	42	(	(	PUNCT
bitcs-6073	104	43	2	2	X
bitcs-6073	104	44	)	)	PUNCT
bitcs-6073	104	45	naive	naive	ADJ
bitcs-6073	104	46	bayes	bayes	NOUN
bitcs-6073	104	47	is	be	AUX
bitcs-6073	104	48	0.500	0.500	NUM
bitcs-6073	104	49	,	,	PUNCT
bitcs-6073	104	50	and	and	CCONJ
bitcs-6073	104	51	(	(	PUNCT
bitcs-6073	104	52	3	3	X
bitcs-6073	104	53	)	)	PUNCT
bitcs-6073	104	54	decision	decision	NOUN
bitcs-6073	104	55	tree	tree	NOUN
bitcs-6073	104	56	is	be	AUX
bitcs-6073	104	57	0.600	0.600	NUM
bitcs-6073	104	58	.	.	PUNCT
bitcs-6073	105	1	therefore	therefore	ADV
bitcs-6073	105	2	,	,	PUNCT
bitcs-6073	105	3	classification	classification	NOUN
bitcs-6073	105	4	research	research	NOUN
bitcs-6073	105	5	using	use	VERB
bitcs-6073	105	6	3	3	NUM
bitcs-6073	105	7	models	model	NOUN
bitcs-6073	105	8	with	with	ADP
bitcs-6073	105	9	a	a	DET
bitcs-6073	105	10	study	study	NOUN
bitcs-6073	105	11	from	from	ADP
bitcs-6073	105	12	muhammadiyah	muhammadiyah	NOUN
bitcs-6073	105	13	university	university	NOUN
bitcs-6073	105	14	of	of	ADP
bitcs-6073	105	15	pringsewu	pringsewu	PROPN
bitcs-6073	105	16	is	be	AUX
bitcs-6073	105	17	highly	highly	ADV
bitcs-6073	105	18	recommended	recommend	VERB
bitcs-6073	105	19	using	use	VERB
bitcs-6073	105	20	modelsnaive	modelsnaive	ADJ
bitcs-6073	105	21	bayes	bayes	PROPN
bitcs-6073	105	22	andk	andk	NOUN
bitcs-6073	105	23	-	-	PUNCT
bitcs-6073	105	24	nn	nn	NOUN
bitcs-6073	105	25	because	because	SCONJ
bitcs-6073	105	26	the	the	DET
bitcs-6073	105	27	curve	curve	NOUN
bitcs-6073	105	28	approaches	approach	VERB
bitcs-6073	105	29	the	the	DET
bitcs-6073	105	30	point	point	NOUN
bitcs-6073	105	31	0.1	0.1	NUM
bitcs-6073	105	32	.	.	PUNCT
bitcs-6073	106	1	vol	vol	NOUN
bitcs-6073	106	2	.	.	PROPN
bitcs-6073	106	3	5	5	NUM
bitcs-6073	106	4	,	,	PUNCT
bitcs-6073	106	5	no.1	no.1	X
bitcs-6073	106	6	|	|	ADV
bitcs-6073	106	7	37	37	NUM
bitcs-6073	106	8	figure	figure	NOUN
bitcs-6073	106	9	11	11	NUM
bitcs-6073	106	10	.	.	PUNCT
bitcs-6073	107	1	roc	roc	NOUN
bitcs-6073	107	2	analysis	analysis	NOUN
bitcs-6073	107	3	with	with	ADP
bitcs-6073	107	4	the	the	DET
bitcs-6073	107	5	target	target	NOUN
bitcs-6073	107	6	of	of	ADP
bitcs-6073	107	7	late	late	ADJ
bitcs-6073	107	8	student	student	NOUN
bitcs-6073	107	9	graduation	graduation	NOUN
bitcs-6073	107	10	based	base	VERB
bitcs-6073	107	11	on	on	ADP
bitcs-6073	107	12	the	the	DET
bitcs-6073	107	13	test	test	NOUN
bitcs-6073	107	14	results	result	NOUN
bitcs-6073	107	15	above	above	ADV
bitcs-6073	107	16	,	,	PUNCT
bitcs-6073	107	17	in	in	ADP
bitcs-6073	107	18	this	this	DET
bitcs-6073	107	19	research	research	NOUN
bitcs-6073	107	20	the	the	DET
bitcs-6073	107	21	decision	decision	NOUN
bitcs-6073	107	22	tree	tree	NOUN
bitcs-6073	107	23	method	method	NOUN
bitcs-6073	107	24	has	have	VERB
bitcs-6073	107	25	a	a	DET
bitcs-6073	107	26	slightly	slightly	ADV
bitcs-6073	107	27	higher	high	ADJ
bitcs-6073	107	28	level	level	NOUN
bitcs-6073	107	29	of	of	ADP
bitcs-6073	107	30	accuracy	accuracy	NOUN
bitcs-6073	107	31	compared	compare	VERB
bitcs-6073	107	32	to	to	ADP
bitcs-6073	107	33	the	the	DET
bitcs-6073	107	34	naive	naive	ADJ
bitcs-6073	107	35	bayes	bayes	NOUN
bitcs-6073	107	36	method	method	NOUN
bitcs-6073	107	37	.	.	PUNCT
bitcs-6073	108	1	there	there	PRON
bitcs-6073	108	2	are	be	VERB
bitcs-6073	108	3	several	several	ADJ
bitcs-6073	108	4	analyzes	analyze	NOUN
bitcs-6073	108	5	that	that	PRON
bitcs-6073	108	6	cause	cause	VERB
bitcs-6073	108	7	the	the	DET
bitcs-6073	108	8	decision	decision	NOUN
bitcs-6073	108	9	tree	tree	NOUN
bitcs-6073	108	10	method	method	NOUN
bitcs-6073	108	11	to	to	PART
bitcs-6073	108	12	have	have	VERB
bitcs-6073	108	13	higher	high	ADJ
bitcs-6073	108	14	accuracy	accuracy	NOUN
bitcs-6073	108	15	,	,	PUNCT
bitcs-6073	108	16	including	include	VERB
bitcs-6073	108	17	the	the	DET
bitcs-6073	108	18	following	following	NOUN
bitcs-6073	108	19	:	:	PUNCT
bitcs-6073	108	20	a.	a.	NOUN
bitcs-6073	108	21	decision	decision	NOUN
bitcs-6073	108	22	trees	tree	NOUN
bitcs-6073	108	23	can	can	AUX
bitcs-6073	108	24	work	work	VERB
bitcs-6073	108	25	well	well	ADV
bitcs-6073	108	26	on	on	ADP
bitcs-6073	108	27	fairly	fairly	ADV
bitcs-6073	108	28	large	large	ADJ
bitcs-6073	108	29	datasets	dataset	NOUN
bitcs-6073	108	30	without	without	ADP
bitcs-6073	108	31	requiring	require	VERB
bitcs-6073	108	32	excessive	excessive	ADJ
bitcs-6073	108	33	computing	computing	NOUN
bitcs-6073	108	34	time	time	NOUN
bitcs-6073	108	35	.	.	PUNCT
bitcs-6073	109	1	if	if	SCONJ
bitcs-6073	109	2	the	the	DET
bitcs-6073	109	3	dataset	dataset	NOUN
bitcs-6073	109	4	is	be	AUX
bitcs-6073	109	5	large	large	ADJ
bitcs-6073	109	6	enough	enough	ADV
bitcs-6073	109	7	,	,	PUNCT
bitcs-6073	109	8	decision	decision	NOUN
bitcs-6073	109	9	tree	tree	NOUN
bitcs-6073	109	10	may	may	AUX
bitcs-6073	109	11	be	be	AUX
bitcs-6073	109	12	more	more	ADV
bitcs-6073	109	13	efficient	efficient	ADJ
bitcs-6073	109	14	then	then	ADV
bitcs-6073	109	15	decision	decision	NOUN
bitcs-6073	109	16	tree	tree	NOUN
bitcs-6073	109	17	provides	provide	VERB
bitcs-6073	109	18	an	an	DET
bitcs-6073	109	19	easy	easy	ADJ
bitcs-6073	109	20	to	to	PART
bitcs-6073	109	21	interpret	interpret	VERB
bitcs-6073	109	22	decision	decision	NOUN
bitcs-6073	109	23	tree	tree	NOUN
bitcs-6073	109	24	structure	structure	NOUN
bitcs-6073	109	25	,	,	PUNCT
bitcs-6073	109	26	which	which	PRON
bitcs-6073	109	27	can	can	AUX
bitcs-6073	109	28	assist	assist	VERB
bitcs-6073	109	29	in	in	ADP
bitcs-6073	109	30	understanding	understand	VERB
bitcs-6073	109	31	the	the	DET
bitcs-6073	109	32	factors	factor	NOUN
bitcs-6073	109	33	that	that	PRON
bitcs-6073	109	34	most	most	ADJ
bitcs-6073	109	35	influence	influence	NOUN
bitcs-6073	109	36	student	student	NOUN
bitcs-6073	109	37	graduation	graduation	NOUN
bitcs-6073	109	38	.	.	PUNCT
bitcs-6073	110	1	b.	b.	PROPN
bitcs-6073	110	2	naive	naive	ADJ
bitcs-6073	110	3	bayes	bayes	PROPN
bitcs-6073	110	4	assumes	assume	VERB
bitcs-6073	110	5	feature	feature	NOUN
bitcs-6073	110	6	independence	independence	NOUN
bitcs-6073	110	7	,	,	PUNCT
bitcs-6073	110	8	and	and	CCONJ
bitcs-6073	110	9	normality	normality	NOUN
bitcs-6073	110	10	of	of	ADP
bitcs-6073	110	11	distribution	distribution	NOUN
bitcs-6073	110	12	.	.	PUNCT
bitcs-6073	111	1	if	if	SCONJ
bitcs-6073	111	2	these	these	DET
bitcs-6073	111	3	assumptions	assumption	NOUN
bitcs-6073	111	4	are	be	AUX
bitcs-6073	111	5	not	not	PART
bitcs-6073	111	6	fully	fully	ADV
bitcs-6073	111	7	met	meet	VERB
bitcs-6073	111	8	in	in	ADP
bitcs-6073	111	9	the	the	DET
bitcs-6073	111	10	dataset	dataset	NOUN
bitcs-6073	111	11	,	,	PUNCT
bitcs-6073	111	12	the	the	DET
bitcs-6073	111	13	performance	performance	NOUN
bitcs-6073	111	14	of	of	ADP
bitcs-6073	111	15	naive	naive	ADJ
bitcs-6073	111	16	bayes	bayes	NOUN
bitcs-6073	111	17	can	can	AUX
bitcs-6073	111	18	be	be	AUX
bitcs-6073	111	19	affected	affect	VERB
bitcs-6073	111	20	.	.	PUNCT
bitcs-6073	112	1	decision	decision	NOUN
bitcs-6073	112	2	trees	tree	NOUN
bitcs-6073	112	3	,	,	PUNCT
bitcs-6073	112	4	in	in	ADP
bitcs-6073	112	5	some	some	DET
bitcs-6073	112	6	cases	case	NOUN
bitcs-6073	112	7	,	,	PUNCT
bitcs-6073	112	8	are	be	AUX
bitcs-6073	112	9	more	more	ADV
bitcs-6073	112	10	resistant	resistant	ADJ
bitcs-6073	112	11	to	to	ADP
bitcs-6073	112	12	this	this	DET
bitcs-6073	112	13	assumption	assumption	NOUN
bitcs-6073	112	14	.	.	PUNCT
bitcs-6073	113	1	future	future	ADJ
bitcs-6073	113	2	research	research	NOUN
bitcs-6073	113	3	in	in	ADP
bitcs-6073	113	4	the	the	DET
bitcs-6073	113	5	context	context	NOUN
bitcs-6073	113	6	of	of	ADP
bitcs-6073	113	7	predicting	predict	VERB
bitcs-6073	113	8	student	student	NOUN
bitcs-6073	113	9	graduation	graduation	NOUN
bitcs-6073	113	10	on	on	ADP
bitcs-6073	113	11	time	time	NOUN
bitcs-6073	113	12	using	use	VERB
bitcs-6073	113	13	data	datum	NOUN
bitcs-6073	113	14	mining	mining	NOUN
bitcs-6073	113	15	methods	method	NOUN
bitcs-6073	113	16	can	can	AUX
bitcs-6073	113	17	explore	explore	VERB
bitcs-6073	113	18	a	a	DET
bitcs-6073	113	19	number	number	NOUN
bitcs-6073	113	20	of	of	ADP
bitcs-6073	113	21	aspects	aspect	NOUN
bitcs-6073	113	22	to	to	PART
bitcs-6073	113	23	improve	improve	VERB
bitcs-6073	113	24	the	the	DET
bitcs-6073	113	25	accuracy	accuracy	NOUN
bitcs-6073	113	26	and	and	CCONJ
bitcs-6073	113	27	sustainability	sustainability	NOUN
bitcs-6073	113	28	of	of	ADP
bitcs-6073	113	29	the	the	DET
bitcs-6073	113	30	model	model	NOUN
bitcs-6073	113	31	,	,	PUNCT
bitcs-6073	113	32	including	include	VERB
bitcs-6073	113	33	exploring	explore	VERB
bitcs-6073	113	34	the	the	DET
bitcs-6073	113	35	use	use	NOUN
bitcs-6073	113	36	of	of	ADP
bitcs-6073	113	37	deep	deep	ADJ
bitcs-6073	113	38	learning	learning	NOUN
bitcs-6073	113	39	methods	method	NOUN
bitcs-6073	113	40	such	such	ADJ
bitcs-6073	113	41	as	as	ADP
bitcs-6073	113	42	neural	neural	ADJ
bitcs-6073	113	43	networks	network	NOUN
bitcs-6073	113	44	to	to	PART
bitcs-6073	113	45	understand	understand	VERB
bitcs-6073	113	46	more	more	ADV
bitcs-6073	113	47	complex	complex	ADJ
bitcs-6073	113	48	and	and	CCONJ
bitcs-6073	113	49	non	non	ADJ
bitcs-6073	113	50	-	-	ADJ
bitcs-6073	113	51	linear	linear	ADJ
bitcs-6073	113	52	patterns	pattern	NOUN
bitcs-6073	113	53	in	in	ADP
bitcs-6073	113	54	the	the	DET
bitcs-6073	113	55	data	datum	NOUN
bitcs-6073	113	56	and	and	CCONJ
bitcs-6073	113	57	then	then	ADV
bitcs-6073	113	58	considering	consider	VERB
bitcs-6073	113	59	factors	factor	NOUN
bitcs-6073	113	60	time	time	NOUN
bitcs-6073	113	61	in	in	ADP
bitcs-6073	113	62	analysis	analysis	NOUN
bitcs-6073	113	63	,	,	PUNCT
bitcs-6073	113	64	such	such	ADJ
bitcs-6073	113	65	as	as	ADP
bitcs-6073	113	66	changes	change	NOUN
bitcs-6073	113	67	in	in	ADP
bitcs-6073	113	68	student	student	NOUN
bitcs-6073	113	69	behavior	behavior	NOUN
bitcs-6073	113	70	over	over	ADP
bitcs-6073	113	71	time	time	NOUN
bitcs-6073	113	72	,	,	PUNCT
bitcs-6073	113	73	curriculum	curriculum	NOUN
bitcs-6073	113	74	changes	change	NOUN
bitcs-6073	113	75	,	,	PUNCT
bitcs-6073	113	76	or	or	CCONJ
bitcs-6073	113	77	changing	change	VERB
bitcs-6073	113	78	campus	campus	NOUN
bitcs-6073	113	79	policies	policy	NOUN
bitcs-6073	113	80	and	and	CCONJ
bitcs-6073	113	81	can	can	AUX
bitcs-6073	113	82	develop	develop	VERB
bitcs-6073	113	83	algorithms	algorithm	NOUN
bitcs-6073	113	84	that	that	PRON
bitcs-6073	113	85	can	can	AUX
bitcs-6073	113	86	provide	provide	VERB
bitcs-6073	113	87	better	well	ADJ
bitcs-6073	113	88	explanations	explanation	NOUN
bitcs-6073	113	89	for	for	ADP
bitcs-6073	113	90	model	model	NOUN
bitcs-6073	113	91	decisions	decision	NOUN
bitcs-6073	113	92	,	,	PUNCT
bitcs-6073	113	93	especially	especially	ADV
bitcs-6073	113	94	in	in	ADP
bitcs-6073	113	95	the	the	DET
bitcs-6073	113	96	context	context	NOUN
bitcs-6073	113	97	of	of	ADP
bitcs-6073	113	98	academic	academic	ADJ
bitcs-6073	113	99	decisions	decision	NOUN
bitcs-6073	113	100	that	that	PRON
bitcs-6073	113	101	can	can	AUX
bitcs-6073	113	102	have	have	VERB
bitcs-6073	113	103	major	major	ADJ
bitcs-6073	113	104	implications	implication	NOUN
bitcs-6073	113	105	.	.	PUNCT
bitcs-6073	114	1	iv	iv	X
bitcs-6073	114	2	.	.	PUNCT
bitcs-6073	114	3	conclusions	conclusion	NOUN
bitcs-6073	114	4	the	the	DET
bitcs-6073	114	5	resuts	resut	NOUN
bitcs-6073	114	6	of	of	ADP
bitcs-6073	114	7	this	this	DET
bitcs-6073	114	8	research	research	NOUN
bitcs-6073	114	9	show	show	VERB
bitcs-6073	114	10	that	that	SCONJ
bitcs-6073	114	11	after	after	ADP
bitcs-6073	114	12	using	use	VERB
bitcs-6073	114	13	the	the	DET
bitcs-6073	114	14	k	k	NOUN
bitcs-6073	114	15	-	-	PUNCT
bitcs-6073	114	16	nearest	near	ADJ
bitcs-6073	114	17	neighbor	neighbor	NOUN
bitcs-6073	114	18	,	,	PUNCT
bitcs-6073	114	19	decision	decision	NOUN
bitcs-6073	114	20	tree	tree	NOUN
bitcs-6073	114	21	and	and	CCONJ
bitcs-6073	114	22	naive	naive	ADJ
bitcs-6073	114	23	bayes	bayes	NOUN
bitcs-6073	114	24	models	model	NOUN
bitcs-6073	114	25	to	to	PART
bitcs-6073	114	26	classify	classify	VERB
bitcs-6073	114	27	the	the	DET
bitcs-6073	114	28	graduation	graduation	NOUN
bitcs-6073	114	29	status	status	NOUN
bitcs-6073	114	30	of	of	ADP
bitcs-6073	114	31	students	student	NOUN
bitcs-6073	114	32	at	at	ADP
bitcs-6073	114	33	muhammadiyah	muhammadiyah	NOUN
bitcs-6073	114	34	university	university	PROPN
bitcs-6073	114	35	of	of	ADP
bitcs-6073	114	36	pringsewu	pringsewu	PROPN
bitcs-6073	114	37	,	,	PUNCT
bitcs-6073	114	38	the	the	DET
bitcs-6073	114	39	results	result	NOUN
bitcs-6073	114	40	obtained	obtain	VERB
bitcs-6073	114	41	were	be	AUX
bitcs-6073	114	42	that	that	PRON
bitcs-6073	114	43	decision	decision	NOUN
bitcs-6073	114	44	tree	tree	NOUN
bitcs-6073	114	45	's	's	PART
bitcs-6073	114	46	performance	performance	NOUN
bitcs-6073	114	47	was	be	AUX
bitcs-6073	114	48	superior	superior	ADJ
bitcs-6073	114	49	to	to	ADP
bitcs-6073	114	50	k	k	X
bitcs-6073	114	51	-	-	PUNCT
bitcs-6073	114	52	nearest	near	ADJ
bitcs-6073	114	53	neighbor	neighbor	NOUN
bitcs-6073	114	54	and	and	CCONJ
bitcs-6073	114	55	naive	naive	ADJ
bitcs-6073	114	56	bayes	baye	NOUN
bitcs-6073	114	57	.	.	PUNCT
bitcs-6073	115	1	it	it	PRON
bitcs-6073	115	2	is	be	AUX
bitcs-6073	115	3	proven	prove	VERB
bitcs-6073	115	4	that	that	SCONJ
bitcs-6073	115	5	the	the	DET
bitcs-6073	115	6	data	datum	NOUN
bitcs-6073	115	7	used	use	VERB
bitcs-6073	115	8	by	by	ADP
bitcs-6073	115	9	naive	naive	ADJ
bitcs-6073	115	10	bayes	bayes	PROPN
bitcs-6073	115	11	has	have	VERB
bitcs-6073	115	12	an	an	DET
bitcs-6073	115	13	accuracy	accuracy	NOUN
bitcs-6073	115	14	value	value	NOUN
bitcs-6073	115	15	of	of	ADP
bitcs-6073	115	16	77.8	77.8	NUM
bitcs-6073	115	17	%	%	NOUN
bitcs-6073	115	18	,	,	PUNCT
bitcs-6073	115	19	a	a	DET
bitcs-6073	115	20	precision	precision	NOUN
bitcs-6073	115	21	of	of	ADP
bitcs-6073	115	22	77	77	NUM
bitcs-6073	115	23	%	%	NOUN
bitcs-6073	115	24	,	,	PUNCT
bitcs-6073	115	25	while	while	SCONJ
bitcs-6073	115	26	k	k	NOUN
bitcs-6073	115	27	-	-	PUNCT
bitcs-6073	115	28	nearest	near	ADJ
bitcs-6073	115	29	neighbor	neighbor	NOUN
bitcs-6073	115	30	has	have	VERB
bitcs-6073	115	31	an	an	DET
bitcs-6073	115	32	accuracy	accuracy	NOUN
bitcs-6073	115	33	value	value	NOUN
bitcs-6073	115	34	of	of	ADP
bitcs-6073	115	35	75.7	75.7	NUM
bitcs-6073	115	36	%	%	NOUN
bitcs-6073	115	37	,	,	PUNCT
bitcs-6073	115	38	a	a	DET
bitcs-6073	115	39	precision	precision	NOUN
bitcs-6073	115	40	of	of	ADP
bitcs-6073	115	41	74	74	NUM
bitcs-6073	115	42	%	%	NOUN
bitcs-6073	115	43	and	and	CCONJ
bitcs-6073	115	44	the	the	DET
bitcs-6073	115	45	decision	decision	NOUN
bitcs-6073	115	46	tree	tree	NOUN
bitcs-6073	115	47	has	have	VERB
bitcs-6073	115	48	an	an	DET
bitcs-6073	115	49	accuracy	accuracy	NOUN
bitcs-6073	115	50	value	value	NOUN
bitcs-6073	115	51	of	of	ADP
bitcs-6073	115	52	77.9	77.9	NUM
bitcs-6073	115	53	%	%	NOUN
bitcs-6073	115	54	and	and	CCONJ
bitcs-6073	115	55	a	a	DET
bitcs-6073	115	56	precision	precision	NOUN
bitcs-6073	115	57	of	of	ADP
bitcs-6073	115	58	78	78	NUM
bitcs-6073	115	59	%	%	NOUN
bitcs-6073	115	60	.	.	PUNCT
bitcs-6073	116	1	the	the	DET
bitcs-6073	116	2	contribution	contribution	NOUN
bitcs-6073	116	3	of	of	ADP
bitcs-6073	116	4	this	this	DET
bitcs-6073	116	5	research	research	NOUN
bitcs-6073	116	6	can	can	AUX
bitcs-6073	116	7	be	be	AUX
bitcs-6073	116	8	used	use	VERB
bitcs-6073	116	9	by	by	ADP
bitcs-6073	116	10	the	the	DET
bitcs-6073	116	11	management	management	NOUN
bitcs-6073	116	12	of	of	ADP
bitcs-6073	116	13	muhammadiyah	muhammadiyah	NOUN
bitcs-6073	116	14	university	university	PROPN
bitcs-6073	116	15	of	of	ADP
bitcs-6073	116	16	pringsewu	pringsewu	PROPN
bitcs-6073	116	17	to	to	PART
bitcs-6073	116	18	detect	detect	VERB
bitcs-6073	116	19	early	early	ADV
bitcs-6073	116	20	the	the	DET
bitcs-6073	116	21	condition	condition	NOUN
bitcs-6073	116	22	of	of	ADP
bitcs-6073	116	23	students	student	NOUN
bitcs-6073	116	24	so	so	SCONJ
bitcs-6073	116	25	that	that	SCONJ
bitcs-6073	116	26	their	their	PRON
bitcs-6073	116	27	graduation	graduation	NOUN
bitcs-6073	116	28	is	be	AUX
bitcs-6073	116	29	not	not	PART
bitcs-6073	116	30	too	too	ADV
bitcs-6073	116	31	late	late	ADJ
bitcs-6073	116	32	and	and	CCONJ
bitcs-6073	116	33	affect	affect	VERB
bitcs-6073	116	34	the	the	DET
bitcs-6073	116	35	accreditation	accreditation	NOUN
bitcs-6073	116	36	score	score	NOUN
bitcs-6073	116	37	of	of	ADP
bitcs-6073	116	38	muhammadiyah	muhammadiyah	NOUN
bitcs-6073	116	39	university	university	PROPN
bitcs-6073	116	40	of	of	ADP
bitcs-6073	116	41	pringsewu	pringsewu	PROPN
bitcs-6073	116	42	.	.	PUNCT
bitcs-6073	117	1	vol	vol	NOUN
bitcs-6073	117	2	.	.	PROPN
bitcs-6073	117	3	5	5	NUM
bitcs-6073	117	4	,	,	PUNCT
bitcs-6073	117	5	no.1	no.1	X
bitcs-6073	117	6	|	|	ADV
bitcs-6073	117	7	38	38	NUM
bitcs-6073	117	8	references	reference	NOUN
bitcs-6073	117	9	[	[	X
bitcs-6073	117	10	1	1	NUM
bitcs-6073	117	11	]	]	X
bitcs-6073	117	12	alim	alim	NOUN
bitcs-6073	117	13	,	,	PUNCT
bitcs-6073	117	14	s.	s.	PROPN
bitcs-6073	117	15	(	(	PUNCT
bitcs-6073	117	16	2021a	2021a	NUM
bitcs-6073	117	17	)	)	PUNCT
bitcs-6073	117	18	.	.	PUNCT
bitcs-6073	118	1	implementasi	implementasi	PROPN
bitcs-6073	118	2	orange	orange	PROPN
bitcs-6073	118	3	data	data	PROPN
bitcs-6073	118	4	mining	mining	PROPN
bitcs-6073	118	5	untuk	untuk	PROPN
bitcs-6073	118	6	klasifikasi	klasifikasi	PROPN
bitcs-6073	118	7	kelulusan	kelulusan	PROPN
bitcs-6073	118	8	mahasiswa	mahasiswa	PROPN
bitcs-6073	118	9	dengan	dengan	PROPN
bitcs-6073	118	10	model	model	PROPN
bitcs-6073	118	11	k	k	PROPN
bitcs-6073	118	12	-	-	PUNCT
bitcs-6073	118	13	nearest	near	ADJ
bitcs-6073	118	14	neighbor	neighbor	NOUN
bitcs-6073	118	15	,	,	PUNCT
bitcs-6073	118	16	decision	decision	NOUN
bitcs-6073	118	17	tree	tree	NOUN
bitcs-6073	118	18	serta	serta	PROPN
bitcs-6073	118	19	naive	naive	ADJ
bitcs-6073	118	20	bayes	bayes	PROPN
bitcs-6073	118	21	orange	orange	PROPN
bitcs-6073	118	22	data	data	PROPN
bitcs-6073	118	23	mining	mining	NOUN
bitcs-6073	118	24	implementation	implementation	NOUN
bitcs-6073	118	25	for	for	ADP
bitcs-6073	118	26	student	student	NOUN
bitcs-6073	118	27	graduation	graduation	NOUN
bitcs-6073	118	28	classification	classification	NOUN
bitcs-6073	118	29	using	use	VERB
bitcs-6073	118	30	k	k	PROPN
bitcs-6073	118	31	-	-	PUNCT
bitcs-6073	118	32	nearest	near	ADJ
bitcs-6073	118	33	neighbor	neighbor	NOUN
bitcs-6073	118	34	,	,	PUNCT
bitcs-6073	118	35	decision	decision	NOUN
bitcs-6073	118	36	tree	tree	NOUN
bitcs-6073	118	37	and	and	CCONJ
bitcs-6073	118	38	naive	naive	ADJ
bitcs-6073	118	39	bayes	bayes	NOUN
bitcs-6073	118	40	models	model	NOUN
bitcs-6073	118	41	.	.	PUNCT
bitcs-6073	119	1	in	in	ADP
bitcs-6073	119	2	jurnal	jurnal	ADJ
bitcs-6073	119	3	ilmiah	ilmiah	PROPN
bitcs-6073	119	4	nero	nero	PROPN
bitcs-6073	119	5	(	(	PUNCT
bitcs-6073	119	6	vol	vol	NOUN
bitcs-6073	119	7	.	.	PROPN
bitcs-6073	119	8	6	6	NUM
bitcs-6073	119	9	,	,	PUNCT
bitcs-6073	119	10	issue	issue	NOUN
bitcs-6073	119	11	2	2	NUM
bitcs-6073	119	12	)	)	PUNCT
bitcs-6073	119	13	.	.	PUNCT
bitcs-6073	120	1	[	[	X
bitcs-6073	120	2	2	2	NUM
bitcs-6073	120	3	]	]	PUNCT
bitcs-6073	120	4	amra	amra	NOUN
bitcs-6073	120	5	,	,	PUNCT
bitcs-6073	120	6	i.	i.	PROPN
bitcs-6073	120	7	a.	a.	PROPN
bitcs-6073	120	8	a.	a.	PROPN
bitcs-6073	120	9	,	,	PUNCT
bitcs-6073	120	10	&	&	CCONJ
bitcs-6073	120	11	maghari	maghari	PROPN
bitcs-6073	120	12	,	,	PUNCT
bitcs-6073	120	13	a.	a.	PROPN
bitcs-6073	120	14	y.	y.	PROPN
bitcs-6073	120	15	a.	a.	PROPN
bitcs-6073	120	16	(	(	PUNCT
bitcs-6073	120	17	2017	2017	NUM
bitcs-6073	120	18	)	)	PUNCT
bitcs-6073	120	19	.	.	PUNCT
bitcs-6073	121	1	students	student	NOUN
bitcs-6073	121	2	performance	performance	NOUN
bitcs-6073	121	3	prediction	prediction	NOUN
bitcs-6073	121	4	using	use	VERB
bitcs-6073	121	5	knn	knn	PROPN
bitcs-6073	121	6	and	and	CCONJ
bitcs-6073	121	7	naïve	naïve	ADJ
bitcs-6073	121	8	bayesian	bayesian	NOUN
bitcs-6073	121	9	.	.	PUNCT
bitcs-6073	122	1	icit	icit	ADJ
bitcs-6073	122	2	2017	2017	NUM
bitcs-6073	122	3	8th	8th	ADJ
bitcs-6073	122	4	international	international	ADJ
bitcs-6073	122	5	conference	conference	NOUN
bitcs-6073	122	6	on	on	ADP
bitcs-6073	122	7	information	information	NOUN
bitcs-6073	122	8	technology	technology	NOUN
bitcs-6073	122	9	,	,	PUNCT
bitcs-6073	122	10	proceedings	proceeding	NOUN
bitcs-6073	122	11	,	,	PUNCT
bitcs-6073	122	12	909–913	909–913	NUM
bitcs-6073	122	13	.	.	PUNCT
bitcs-6073	123	1	doi	doi	NOUN
bitcs-6073	123	2	:	:	PUNCT
bitcs-6073	123	3	10.1109	10.1109	NUM
bitcs-6073	123	4	/	/	SYM
bitcs-6073	123	5	icitech.2017.8079967	icitech.2017.8079967	NOUN
bitcs-6073	123	6	[	[	X
bitcs-6073	123	7	3	3	NUM
bitcs-6073	123	8	]	]	PUNCT
bitcs-6073	123	9	annur	annur	NOUN
bitcs-6073	123	10	,	,	PUNCT
bitcs-6073	123	11	h.	h.	PROPN
bitcs-6073	123	12	(	(	PUNCT
bitcs-6073	123	13	2018	2018	NUM
bitcs-6073	123	14	)	)	PUNCT
bitcs-6073	123	15	.	.	PUNCT
bitcs-6073	124	1	klasifikasi	klasifikasi	PROPN
bitcs-6073	124	2	masyarakat	masyarakat	PROPN
bitcs-6073	124	3	miskin	miskin	PROPN
bitcs-6073	124	4	menggunakan	menggunakan	PROPN
bitcs-6073	124	5	metode	metode	PROPN
bitcs-6073	124	6	naïve	naïve	PROPN
bitcs-6073	124	7	bayes	bayes	PROPN
bitcs-6073	124	8	.	.	PUNCT
bitcs-6073	125	1	in	in	ADP
bitcs-6073	125	2	agustus	agustus	PROPN
bitcs-6073	125	3	(	(	PUNCT
bitcs-6073	125	4	vol	vol	NOUN
bitcs-6073	125	5	.	.	PROPN
bitcs-6073	125	6	10	10	NUM
bitcs-6073	125	7	,	,	PUNCT
bitcs-6073	125	8	issue	issue	NOUN
bitcs-6073	125	9	2	2	NUM
bitcs-6073	125	10	)	)	PUNCT
bitcs-6073	125	11	.	.	PUNCT
bitcs-6073	126	1	[	[	X
bitcs-6073	126	2	4	4	NUM
bitcs-6073	126	3	]	]	X
bitcs-6073	126	4	berrar	berrar	NOUN
bitcs-6073	126	5	,	,	PUNCT
bitcs-6073	126	6	d.	d.	PROPN
bitcs-6073	126	7	(	(	PUNCT
bitcs-6073	126	8	2019	2019	NUM
bitcs-6073	126	9	)	)	PUNCT
bitcs-6073	126	10	.	.	PUNCT
bitcs-6073	126	11	bayes	bayes	PROPN
bitcs-6073	126	12	’	'	PUNCT
bitcs-6073	126	13	theorem	theorem	VERB
bitcs-6073	126	14	and	and	CCONJ
bitcs-6073	126	15	naive	naive	ADJ
bitcs-6073	126	16	bayes	bayes	NOUN
bitcs-6073	126	17	classifier	classifier	NOUN
bitcs-6073	126	18	.	.	PUNCT
bitcs-6073	127	1	in	in	ADP
bitcs-6073	127	2	s.	s.	PROPN
bitcs-6073	127	3	ranganathan	ranganathan	PROPN
bitcs-6073	127	4	,	,	PUNCT
bitcs-6073	127	5	m.	m.	NOUN
bitcs-6073	127	6	gribskov	gribskov	NOUN
bitcs-6073	127	7	,	,	PUNCT
bitcs-6073	127	8	k.	k.	PROPN
bitcs-6073	127	9	nakai	nakai	PROPN
bitcs-6073	127	10	,	,	PUNCT
bitcs-6073	127	11	&	&	CCONJ
bitcs-6073	127	12	c.	c.	PROPN
bitcs-6073	127	13	schönbach	schönbach	PROPN
bitcs-6073	127	14	(	(	PUNCT
bitcs-6073	127	15	eds	ed	NOUN
bitcs-6073	127	16	.	.	PUNCT
bitcs-6073	127	17	)	)	PUNCT
bitcs-6073	127	18	,	,	PUNCT
bitcs-6073	127	19	encyclopedia	encyclopedia	NOUN
bitcs-6073	127	20	of	of	ADP
bitcs-6073	127	21	bioinformatics	bioinformatics	NOUN
bitcs-6073	127	22	and	and	CCONJ
bitcs-6073	127	23	computational	computational	ADJ
bitcs-6073	127	24	biology	biology	NOUN
bitcs-6073	127	25	(	(	PUNCT
bitcs-6073	127	26	pp	pp	ADJ
bitcs-6073	127	27	.	.	PUNCT
bitcs-6073	128	1	403–412	403–412	NUM
bitcs-6073	128	2	)	)	PUNCT
bitcs-6073	128	3	.	.	PUNCT
bitcs-6073	129	1	oxford	oxford	NOUN
bitcs-6073	129	2	:	:	PUNCT
bitcs-6073	129	3	academic	academic	ADJ
bitcs-6073	129	4	press	press	NOUN
bitcs-6073	129	5	.	.	PUNCT
bitcs-6073	130	1	doi	doi	NOUN
bitcs-6073	130	2	:	:	PUNCT
bitcs-6073	130	3	https://doi.org/10.1016/b978-0-12-8096338.20473-1	https://doi.org/10.1016/b978-0-12-8096338.20473-1	PROPN
bitcs-6073	131	1	[	[	X
bitcs-6073	131	2	5	5	NUM
bitcs-6073	131	3	]	]	X
bitcs-6073	131	4	caelen	caelen	ADJ
bitcs-6073	131	5	,	,	PUNCT
bitcs-6073	131	6	o.	o.	INTJ
bitcs-6073	131	7	(	(	PUNCT
bitcs-6073	131	8	2017	2017	NUM
bitcs-6073	131	9	)	)	PUNCT
bitcs-6073	131	10	.	.	PUNCT
bitcs-6073	132	1	a	a	DET
bitcs-6073	132	2	bayesian	bayesian	NOUN
bitcs-6073	132	3	interpretation	interpretation	NOUN
bitcs-6073	132	4	of	of	ADP
bitcs-6073	132	5	the	the	DET
bitcs-6073	132	6	confusion	confusion	NOUN
bitcs-6073	132	7	matrix	matrix	NOUN
bitcs-6073	132	8	.	.	PUNCT
bitcs-6073	133	1	[	[	X
bitcs-6073	133	2	6	6	NUM
bitcs-6073	133	3	]	]	PUNCT
bitcs-6073	133	4	eko	eko	PROPN
bitcs-6073	133	5	prasetiyo	prasetiyo	NOUN
bitcs-6073	133	6	rohmawan	rohmawan	NOUN
bitcs-6073	133	7	.	.	PUNCT
bitcs-6073	134	1	(	(	PUNCT
bitcs-6073	134	2	2018	2018	NUM
bitcs-6073	134	3	)	)	PUNCT
bitcs-6073	134	4	.	.	PUNCT
bitcs-6073	135	1	prediksi	prediksi	PROPN
bitcs-6073	135	2	kelulusan	kelulusan	PROPN
bitcs-6073	135	3	mahasiswa	mahasiswa	PROPN
bitcs-6073	135	4	tepat	tepat	PROPN
bitcs-6073	135	5	waktu	waktu	PROPN
bitcs-6073	135	6	menggunakan	menggunakan	PROPN
bitcs-6073	135	7	metode	metode	PROPN
bitcs-6073	135	8	desicion	desicion	PROPN
bitcs-6073	135	9	tree	tree	NOUN
bitcs-6073	135	10	dan	dan	PROPN
bitcs-6073	135	11	artificial	artificial	ADJ
bitcs-6073	135	12	neural	neural	ADJ
bitcs-6073	135	13	networ	networ	NOUN
bitcs-6073	135	14	.	.	PUNCT
bitcs-6073	136	1	[	[	X
bitcs-6073	136	2	7	7	NUM
bitcs-6073	136	3	]	]	X
bitcs-6073	136	4	forsyth	forsyth	NOUN
bitcs-6073	136	5	,	,	PUNCT
bitcs-6073	136	6	d.	d.	PROPN
bitcs-6073	136	7	(	(	PUNCT
bitcs-6073	136	8	2018	2018	NUM
bitcs-6073	136	9	)	)	PUNCT
bitcs-6073	136	10	.	.	PUNCT
bitcs-6073	137	1	probability	probability	NOUN
bitcs-6073	137	2	and	and	CCONJ
bitcs-6073	137	3	statistics	statistic	NOUN
bitcs-6073	137	4	for	for	ADP
bitcs-6073	137	5	computer	computer	NOUN
bitcs-6073	137	6	science	science	NOUN
bitcs-6073	137	7	.	.	PUNCT
bitcs-6073	138	1	[	[	X
bitcs-6073	138	2	8	8	NUM
bitcs-6073	138	3	]	]	SYM
bitcs-6073	138	4	hafizan	hafizan	NOUN
bitcs-6073	138	5	,	,	PUNCT
bitcs-6073	138	6	h.	h.	PROPN
bitcs-6073	138	7	,	,	PUNCT
bitcs-6073	138	8	&	&	CCONJ
bitcs-6073	138	9	putri	putri	PROPN
bitcs-6073	138	10	,	,	PUNCT
bitcs-6073	138	11	a.	a.	NOUN
bitcs-6073	138	12	n.	n.	NOUN
bitcs-6073	138	13	(	(	PUNCT
bitcs-6073	138	14	2020	2020	NUM
bitcs-6073	138	15	)	)	PUNCT
bitcs-6073	138	16	.	.	PUNCT
bitcs-6073	139	1	penerapan	penerapan	PROPN
bitcs-6073	139	2	metode	metode	PROPN
bitcs-6073	139	3	klasifikasi	klasifikasi	PROPN
bitcs-6073	139	4	decision	decision	NOUN
bitcs-6073	139	5	tree	tree	NOUN
bitcs-6073	139	6	pada	pada	PROPN
bitcs-6073	139	7	status	status	PROPN
bitcs-6073	139	8	gizi	gizi	PROPN
bitcs-6073	139	9	balita	balita	PROPN
bitcs-6073	139	10	di	di	PROPN
bitcs-6073	139	11	kabupaten	kabupaten	PROPN
bitcs-6073	139	12	simalungun	simalungun	PROPN
bitcs-6073	139	13	(	(	PUNCT
bitcs-6073	139	14	vol	vol	NOUN
bitcs-6073	139	15	.	.	NOUN
bitcs-6073	139	16	1	1	NUM
bitcs-6073	139	17	,	,	PUNCT
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bitcs-6073	139	19	2	2	NUM
bitcs-6073	139	20	)	)	PUNCT
bitcs-6073	139	21	.	.	PUNCT
bitcs-6073	140	1	[	[	X
bitcs-6073	140	2	9	9	NUM
bitcs-6073	140	3	]	]	SYM
bitcs-6073	140	4	kartini	kartini	NOUN
bitcs-6073	140	5	,	,	PUNCT
bitcs-6073	140	6	d.	d.	PROPN
bitcs-6073	140	7	,	,	PUNCT
bitcs-6073	140	8	nugroho	nugroho	PROPN
bitcs-6073	140	9	,	,	PUNCT
bitcs-6073	140	10	r.	r.	PROPN
bitcs-6073	140	11	a.	a.	PROPN
bitcs-6073	140	12	,	,	PUNCT
bitcs-6073	140	13	&	&	CCONJ
bitcs-6073	140	14	faisal	faisal	PROPN
bitcs-6073	140	15	,	,	PUNCT
bitcs-6073	140	16	m.	m.	PROPN
bitcs-6073	140	17	r.	r.	PROPN
bitcs-6073	140	18	(	(	PUNCT
bitcs-6073	140	19	2017	2017	NUM
bitcs-6073	140	20	)	)	PUNCT
bitcs-6073	140	21	.	.	PUNCT
bitcs-6073	141	1	klasifikasi	klasifikasi	PROPN
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bitcs-6073	141	3	mahasiswa	mahasiswa	PROPN
bitcs-6073	141	4	menggunakan	menggunakan	PROPN
bitcs-6073	141	5	algoritma	algoritma	PROPN
bitcs-6073	141	6	learning	learn	VERB
bitcs-6073	141	7	vector	vector	NOUN
bitcs-6073	141	8	quantization	quantization	NOUN
bitcs-6073	141	9	.	.	PUNCT
bitcs-6073	142	1	in	in	ADP
bitcs-6073	142	2	jurnal	jurnal	ADJ
bitcs-6073	142	3	positif	positif	PROPN
bitcs-6073	142	4	(	(	PUNCT
bitcs-6073	142	5	vol	vol	NOUN
bitcs-6073	142	6	.	.	NOUN
bitcs-6073	142	7	3	3	NUM
bitcs-6073	142	8	,	,	PUNCT
bitcs-6073	142	9	issue	issue	NOUN
bitcs-6073	142	10	2	2	NUM
bitcs-6073	142	11	)	)	PUNCT
bitcs-6073	142	12	.	.	PUNCT
bitcs-6073	143	1	[	[	X
bitcs-6073	143	2	10	10	NUM
bitcs-6073	143	3	]	]	X
bitcs-6073	143	4	mikut	mikut	ADJ
bitcs-6073	143	5	,	,	PUNCT
bitcs-6073	143	6	r.	r.	PROPN
bitcs-6073	143	7	,	,	PUNCT
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bitcs-6073	143	9	reischl	reischl	PROPN
bitcs-6073	143	10	,	,	PUNCT
bitcs-6073	143	11	m.	m.	NOUN
bitcs-6073	143	12	(	(	PUNCT
bitcs-6073	143	13	2011	2011	NUM
bitcs-6073	143	14	)	)	PUNCT
bitcs-6073	143	15	.	.	PUNCT
bitcs-6073	144	1	data	datum	NOUN
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bitcs-6073	144	3	tools	tool	NOUN
bitcs-6073	144	4	.	.	PUNCT
bitcs-6073	145	1	wires	wire	NOUN
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bitcs-6073	145	3	mining	mining	NOUN
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bitcs-6073	145	7	,	,	PUNCT
bitcs-6073	145	8	1(5	1(5	NUM
bitcs-6073	145	9	)	)	PUNCT
bitcs-6073	145	10	,	,	PUNCT
bitcs-6073	145	11	431–443	431–443	NUM
bitcs-6073	145	12	.	.	PUNCT
bitcs-6073	146	1	doi	doi	NOUN
bitcs-6073	146	2	:	:	PUNCT
bitcs-6073	146	3	https://doi.org/10.1002/widm.24	https://doi.org/10.1002/widm.24	PROPN
bitcs-6073	147	1	[	[	X
bitcs-6073	147	2	11	11	NUM
bitcs-6073	147	3	]	]	X
bitcs-6073	147	4	parteek	parteek	PROPN
bitcs-6073	147	5	bhatia	bhatia	PROPN
bitcs-6073	147	6	.	.	PUNCT
bitcs-6073	148	1	(	(	PUNCT
bitcs-6073	148	2	2019	2019	NUM
bitcs-6073	148	3	)	)	PUNCT
bitcs-6073	148	4	.	.	PUNCT
bitcs-6073	149	1	data	datum	NOUN
bitcs-6073	149	2	mining	mining	NOUN
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bitcs-6073	149	4	data	datum	NOUN
bitcs-6073	149	5	warehousing	warehousing	NOUN
bitcs-6073	149	6	.	.	PUNCT
bitcs-6073	150	1	[	[	X
bitcs-6073	150	2	12	12	NUM
bitcs-6073	150	3	]	]	X
bitcs-6073	150	4	sari	sari	PROPN
bitcs-6073	150	5	dewi	dewi	PROPN
bitcs-6073	150	6	.	.	PUNCT
bitcs-6073	151	1	(	(	PUNCT
bitcs-6073	151	2	2016	2016	NUM
bitcs-6073	151	3	)	)	PUNCT
bitcs-6073	151	4	.	.	PUNCT
bitcs-6073	152	1	komparasi	komparasi	NOUN
bitcs-6073	152	2	5	5	NUM
bitcs-6073	152	3	metode	metode	PROPN
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bitcs-6073	152	5	klasifikasi	klasifikasi	PROPN
bitcs-6073	152	6	data	data	PROPN
bitcs-6073	152	7	mining	mining	PROPN
bitcs-6073	152	8	pada	pada	PROPN
bitcs-6073	152	9	prediksi	prediksi	PROPN
bitcs-6073	152	10	keberhasilan	keberhasilan	PROPN
bitcs-6073	152	11	pemasaran	pemasaran	PROPN
bitcs-6073	152	12	produk	produk	PROPN
bitcs-6073	152	13	layanan	layanan	PROPN
bitcs-6073	152	14	perbankan	perbankan	NOUN
bitcs-6073	152	15	.	.	PUNCT
bitcs-6073	153	1	[	[	X
bitcs-6073	153	2	13	13	NUM
bitcs-6073	153	3	]	]	X
bitcs-6073	153	4	seref	seref	PROPN
bitcs-6073	153	5	,	,	PUNCT
bitcs-6073	153	6	b.	b.	PROPN
bitcs-6073	153	7	,	,	PUNCT
bitcs-6073	153	8	&	&	CCONJ
bitcs-6073	153	9	bostanci	bostanci	PROPN
bitcs-6073	153	10	,	,	PUNCT
bitcs-6073	153	11	e.	e.	PROPN
bitcs-6073	153	12	(	(	PUNCT
bitcs-6073	153	13	2018	2018	NUM
bitcs-6073	153	14	)	)	PUNCT
bitcs-6073	153	15	.	.	PUNCT
bitcs-6073	154	1	sentiment	sentiment	NOUN
bitcs-6073	154	2	analysis	analysis	NOUN
bitcs-6073	154	3	using	use	VERB
bitcs-6073	154	4	naive	naive	ADJ
bitcs-6073	154	5	bayes	bayes	NOUN
bitcs-6073	154	6	and	and	CCONJ
bitcs-6073	154	7	complement	complement	VERB
bitcs-6073	154	8	naive	naive	ADJ
bitcs-6073	154	9	bayes	bayes	NOUN
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bitcs-6073	154	15	.	.	PUNCT
bitcs-6073	155	1	2018	2018	NUM
bitcs-6073	155	2	2nd	2nd	ADJ
bitcs-6073	155	3	international	international	ADJ
bitcs-6073	155	4	symposium	symposium	NOUN
bitcs-6073	155	5	on	on	ADP
bitcs-6073	155	6	multidisciplinary	multidisciplinary	ADJ
bitcs-6073	155	7	studies	study	NOUN
bitcs-6073	155	8	and	and	CCONJ
bitcs-6073	155	9	innovative	innovative	ADJ
bitcs-6073	155	10	technologies	technology	NOUN
bitcs-6073	155	11	(	(	PUNCT
bitcs-6073	155	12	ismsit	ismsit	NOUN
bitcs-6073	155	13	)	)	PUNCT
bitcs-6073	155	14	,	,	PUNCT
bitcs-6073	155	15	1–7	1–7	X
bitcs-6073	155	16	.	.	PUNCT
bitcs-6073	155	17	doi	doi	NOUN
bitcs-6073	155	18	:	:	PUNCT
bitcs-6073	155	19	10.1109	10.1109	NUM
bitcs-6073	155	20	/	/	SYM
bitcs-6073	155	21	ismsit.2018.8567243	ismsit.2018.8567243	NOUN
bitcs-6073	156	1	[	[	X
bitcs-6073	156	2	14	14	NUM
bitcs-6073	156	3	]	]	SYM
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bitcs-6073	156	5	,	,	PUNCT
bitcs-6073	156	6	e.	e.	PROPN
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bitcs-6073	156	8	,	,	PUNCT
bitcs-6073	156	9	&	&	CCONJ
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bitcs-6073	156	11	,	,	PUNCT
bitcs-6073	156	12	b.	b.	PROPN
bitcs-6073	156	13	(	(	PUNCT
bitcs-6073	156	14	2022	2022	NUM
bitcs-6073	156	15	)	)	PUNCT
bitcs-6073	156	16	.	.	PUNCT
bitcs-6073	157	1	universitas	universitas	PROPN
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bitcs-6073	157	5	1	1	NUM
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bitcs-6073	157	8	,	,	PUNCT
bitcs-6073	157	9	universitas	universita	NOUN
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bitcs-6073	157	12	,	,	PUNCT
bitcs-6073	157	13	2	2	NUM
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bitcs-6073	157	15	.	.	PUNCT
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bitcs-6073	158	2	raya	raya	PROPN
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bitcs-6073	158	4	,	,	PUNCT
bitcs-6073	158	5	senen	senen	PROPN
bitcs-6073	158	6	,	,	PUNCT
bitcs-6073	158	7	jakarta	jakarta	PROPN
bitcs-6073	158	8	pusat	pusat	PROPN
bitcs-6073	158	9	10450	10450	NUM
bitcs-6073	158	10	1	1	NUM
bitcs-6073	158	11	jl	jl	PROPN
bitcs-6073	158	12	.	.	PUNCT
bitcs-6073	159	1	in	in	ADP
bitcs-6073	159	2	raya	raya	PROPN
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bitcs-6073	159	4	(	(	PUNCT
bitcs-6073	159	5	vol	vol	NOUN
bitcs-6073	159	6	.	.	PROPN
bitcs-6073	159	7	11	11	NUM
bitcs-6073	159	8	,	,	PUNCT
bitcs-6073	159	9	issue	issue	NOUN
bitcs-6073	159	10	2	2	NUM
bitcs-6073	159	11	)	)	PUNCT
bitcs-6073	159	12	.	.	PUNCT
bitcs-6073	160	1	teknik	teknik	NOUN
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bitcs-6073	160	4	.	.	PUNCT
bitcs-6073	161	1	[	[	X
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bitcs-6073	161	3	]	]	X
bitcs-6073	161	4	wojtek	wojtek	PROPN
bitcs-6073	161	5	j.	j.	PROPN
bitcs-6073	161	6	krzanowski	krzanowski	PROPN
bitcs-6073	161	7	,	,	PUNCT
bitcs-6073	161	8	d.	d.	PROPN
bitcs-6073	161	9	j.	j.	PROPN
bitcs-6073	161	10	h.	h.	PROPN
bitcs-6073	161	11	(	(	PUNCT
bitcs-6073	161	12	2009	2009	NUM
bitcs-6073	161	13	)	)	PUNCT
bitcs-6073	161	14	.	.	PUNCT
bitcs-6073	162	1	roc	roc	PROPN
bitcs-6073	162	2	curves	curve	NOUN
bitcs-6073	162	3	for	for	ADP
bitcs-6073	162	4	continuous	continuous	ADJ
bitcs-6073	162	5	data	datum	NOUN
bitcs-6073	162	6	.	.	PUNCT
bitcs-6073	163	1	[	[	X
bitcs-6073	163	2	16	16	NUM
bitcs-6073	163	3	]	]	PUNCT
bitcs-6073	163	4	kartini	kartini	NOUN
bitcs-6073	163	5	,	,	PUNCT
bitcs-6073	163	6	k.	k.	PROPN
bitcs-6073	163	7	,	,	PUNCT
bitcs-6073	163	8	sujanto	sujanto	PROPN
bitcs-6073	163	9	,	,	PUNCT
bitcs-6073	163	10	b.	b.	PROPN
bitcs-6073	163	11	,	,	PUNCT
bitcs-6073	163	12	&	&	CCONJ
bitcs-6073	163	13	mukhtar	mukhtar	PROPN
bitcs-6073	163	14	,	,	PUNCT
bitcs-6073	163	15	m.	m.	NOUN
bitcs-6073	163	16	(	(	PUNCT
bitcs-6073	163	17	2017	2017	NUM
bitcs-6073	163	18	)	)	PUNCT
bitcs-6073	163	19	.	.	PUNCT
bitcs-6073	164	1	the	the	DET
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bitcs-6073	164	5	climate	climate	NOUN
bitcs-6073	164	6	,	,	PUNCT
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bitcs-6073	164	8	leadership	leadership	NOUN
bitcs-6073	164	9	,	,	PUNCT
bitcs-6073	164	10	and	and	CCONJ
bitcs-6073	164	11	work	work	NOUN
bitcs-6073	164	12	motivation	motivation	NOUN
bitcs-6073	164	13	on	on	ADP
bitcs-6073	164	14	teacher	teacher	NOUN
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bitcs-6073	164	17	.	.	PUNCT
bitcs-6073	165	1	ijhcm	ijhcm	PROPN
bitcs-6073	165	2	(	(	PUNCT
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bitcs-6073	165	4	journal	journal	NOUN
bitcs-6073	165	5	of	of	ADP
bitcs-6073	165	6	human	human	ADJ
bitcs-6073	165	7	capital	capital	NOUN
bitcs-6073	165	8	management	management	NOUN
bitcs-6073	165	9	)	)	PUNCT
bitcs-6073	165	10	,	,	PUNCT
bitcs-6073	165	11	1(01	1(01	NUM
bitcs-6073	165	12	)	)	PUNCT
bitcs-6073	165	13	,	,	PUNCT
bitcs-6073	165	14	192	192	NUM
bitcs-6073	165	15	-	-	SYM
bitcs-6073	165	16	205	205	NUM
bitcs-6073	165	17	.	.	PUNCT
bitcs-6073	166	1	[	[	X
bitcs-6073	166	2	17	17	NUM
bitcs-6073	166	3	]	]	X
bitcs-6073	166	4	galit	galit	PROPN
bitcs-6073	166	5	shmueli	shmueli	PROPN
bitcs-6073	166	6	,	,	PUNCT
bitcs-6073	167	1	p.	p.	PROPN
bitcs-6073	167	2	c.	c.	PROPN
bitcs-6073	167	3	b.	b.	PROPN
bitcs-6073	167	4	i.	i.	PROPN
bitcs-6073	167	5	y.	y.	PROPN
bitcs-6073	167	6	n.	n.	PROPN
bitcs-6073	167	7	r.	r.	PROPN
bitcs-6073	167	8	p.	p.	PROPN
bitcs-6073	167	9	k.	k.	PROPN
bitcs-6073	168	1	c.	c.	PROPN
bitcs-6073	168	2	l.	l.	PROPN
bitcs-6073	168	3	jr	jr	PROPN
bitcs-6073	168	4	.	.	PROPN
bitcs-6073	168	5	(	(	PUNCT
bitcs-6073	168	6	2018	2018	NUM
bitcs-6073	168	7	)	)	PUNCT
bitcs-6073	168	8	.	.	PUNCT
bitcs-6073	169	1	data	datum	NOUN
bitcs-6073	169	2	mining	mining	NOUN
bitcs-6073	169	3	for	for	ADP
bitcs-6073	169	4	business	business	NOUN
bitcs-6073	169	5	analytics	analytic	NOUN
bitcs-6073	169	6	.	.	PUNCT