id	sid	tid	token	lemma	pos
bitcs-10164	1	1	vol.6	vol.6	PROPN
bitcs-10164	1	2	,	,	PUNCT
bitcs-10164	1	3	no.2	no.2	PROPN
bitcs-10164	1	4	,	,	PUNCT
bitcs-10164	1	5	july	july	PROPN
bitcs-10164	1	6	2025	2025	NUM
bitcs-10164	1	7	|	|	ADV
bitcs-10164	1	8	66	66	NUM
bitcs-10164	1	9	p	p	NOUN
bitcs-10164	1	10	-	-	PUNCT
bitcs-10164	1	11	issn	issn	NOUN
bitcs-10164	1	12	:	:	PUNCT
bitcs-10164	1	13	2715	2715	NUM
bitcs-10164	1	14	-	-	SYM
bitcs-10164	1	15	2448	2448	NUM
bitcs-10164	1	16	|	|	NOUN
bitcs-10164	1	17	e	e	NOUN
bitcs-10164	1	18	-	-	NOUN
bitcs-10164	1	19	issn	issn	NOUN
bitcs-10164	1	20	:	:	PUNCT
bitcs-10164	1	21	2715	2715	NUM
bitcs-10164	1	22	-	-	SYM
bitcs-10164	1	23	7199	7199	NUM
bitcs-10164	1	24	vol.6	vol.6	PROPN
bitcs-10164	1	25	no.2	no.2	PROPN
bitcs-10164	1	26	july	july	PROPN
bitcs-10164	1	27	2025	2025	NUM
bitcs-10164	1	28	buana	buana	PROPN
bitcs-10164	1	29	information	information	PROPN
bitcs-10164	1	30	technology	technology	NOUN
bitcs-10164	1	31	and	and	CCONJ
bitcs-10164	1	32	computer	computer	NOUN
bitcs-10164	1	33	sciences	science	NOUN
bitcs-10164	1	34	(	(	PUNCT
bitcs-10164	1	35	bit	bit	NOUN
bitcs-10164	1	36	and	and	CCONJ
bitcs-10164	1	37	cs	cs	ADJ
bitcs-10164	1	38	)	)	PUNCT
bitcs-10164	1	39	classification	classification	NOUN
bitcs-10164	1	40	of	of	ADP
bitcs-10164	1	41	rice	rice	NOUN
bitcs-10164	1	42	plant	plant	NOUN
bitcs-10164	1	43	diseases	disease	NOUN
bitcs-10164	1	44	based	base	VERB
bitcs-10164	1	45	on	on	ADP
bitcs-10164	1	46	leaf	leaf	NOUN
bitcs-10164	1	47	images	image	NOUN
bitcs-10164	1	48	using	use	VERB
bitcs-10164	1	49	the	the	DET
bitcs-10164	1	50	multi	multi	ADJ
bitcs-10164	1	51	class	class	NOUN
bitcs-10164	1	52	support	support	NOUN
bitcs-10164	1	53	vector	vector	NOUN
bitcs-10164	1	54	machine	machine	NOUN
bitcs-10164	1	55	(	(	PUNCT
bitcs-10164	1	56	m	m	NOUN
bitcs-10164	1	57	-	-	PUNCT
bitcs-10164	1	58	svm	svm	ADJ
bitcs-10164	1	59	)	)	PUNCT
bitcs-10164	1	60	method	method	NOUN
bitcs-10164	1	61	febiana	febiana	PROPN
bitcs-10164	1	62	angela	angela	PROPN
bitcs-10164	1	63	tanesab	tanesab	PROPN
bitcs-10164	1	64	1	1	NUM
bitcs-10164	1	65	,	,	PUNCT
bitcs-10164	1	66	rangga	rangga	PROPN
bitcs-10164	1	67	pahlevi	pahlevi	PROPN
bitcs-10164	1	68	putra	putra	PROPN
bitcs-10164	1	69	2	2	NUM
bitcs-10164	1	70	,	,	PUNCT
bitcs-10164	1	71	aviv	aviv	PROPN
bitcs-10164	1	72	yuniar	yuniar	NOUN
bitcs-10164	1	73	rahman	rahman	PROPN
bitcs-10164	1	74	3	3	NUM
bitcs-10164	1	75	1	1	NUM
bitcs-10164	1	76	2	2	NUM
bitcs-10164	1	77	3	3	NUM
bitcs-10164	1	78	department	department	NOUN
bitcs-10164	1	79	of	of	ADP
bitcs-10164	1	80	informatic	informatic	ADJ
bitcs-10164	1	81	engineering	engineering	NOUN
bitcs-10164	1	82	,	,	PUNCT
bitcs-10164	1	83	universitas	universita	NOUN
bitcs-10164	1	84	widya	widya	NOUN
bitcs-10164	1	85	gama	gama	NOUN
bitcs-10164	1	86	,	,	PUNCT
bitcs-10164	1	87	malang	malang	PROPN
bitcs-10164	1	88	,	,	PUNCT
bitcs-10164	1	89	indonesia	indonesia	PROPN
bitcs-10164	1	90	e	e	PROPN
bitcs-10164	1	91	-	-	NOUN
bitcs-10164	1	92	mail	mail	NOUN
bitcs-10164	1	93	:	:	PUNCT
bitcs-10164	1	94	email	email	NOUN
bitcs-10164	1	95	:	:	PUNCT
bitcs-10164	1	96	febytanesab@gmail.ac.id	febytanesab@gmail.ac.id	ADJ
bitcs-10164	1	97	1	1	NUM
bitcs-10164	1	98	,	,	PUNCT
bitcs-10164	1	99	rangga@widyagama.ac.id	rangga@widyagama.ac.id	NOUN
bitcs-10164	1	100	2	2	NUM
bitcs-10164	1	101	,	,	PUNCT
bitcs-10164	1	102	aviv@widyagama.ac.id	aviv@widyagama.ac.id	PROPN
bitcs-10164	1	103	3	3	NUM
bitcs-10164	1	104	received	receive	VERB
bitcs-10164	1	105	:	:	PUNCT
bitcs-10164	1	106	2025/05/17	2025/05/17	NUM
bitcs-10164	1	107	|	|	ADV
bitcs-10164	1	108	revised	revise	VERB
bitcs-10164	1	109	:	:	PUNCT
bitcs-10164	1	110	2025/06/26	2025/06/26	NUM
bitcs-10164	1	111	|	|	ADV
bitcs-10164	1	112	accepted	accept	VERB
bitcs-10164	1	113	:	:	PUNCT
bitcs-10164	1	114	2025/07/27	2025/07/27	NUM
bitcs-10164	1	115	abstract	abstract	NOUN
bitcs-10164	1	116	the	the	DET
bitcs-10164	1	117	rice	rice	NOUN
bitcs-10164	1	118	farming	farming	NOUN
bitcs-10164	1	119	sector	sector	NOUN
bitcs-10164	1	120	plays	play	VERB
bitcs-10164	1	121	an	an	DET
bitcs-10164	1	122	important	important	ADJ
bitcs-10164	1	123	role	role	NOUN
bitcs-10164	1	124	in	in	ADP
bitcs-10164	1	125	the	the	DET
bitcs-10164	1	126	indonesian	indonesian	ADJ
bitcs-10164	1	127	economy	economy	NOUN
bitcs-10164	1	128	,	,	PUNCT
bitcs-10164	1	129	considering	consider	VERB
bitcs-10164	1	130	that	that	SCONJ
bitcs-10164	1	131	rice	rice	NOUN
bitcs-10164	1	132	is	be	AUX
bitcs-10164	1	133	the	the	DET
bitcs-10164	1	134	main	main	ADJ
bitcs-10164	1	135	staple	staple	NOUN
bitcs-10164	1	136	food	food	NOUN
bitcs-10164	1	137	.	.	PUNCT
bitcs-10164	2	1	according	accord	VERB
bitcs-10164	2	2	to	to	ADP
bitcs-10164	2	3	irri	irri	PROPN
bitcs-10164	2	4	,	,	PUNCT
bitcs-10164	2	5	rice	rice	NOUN
bitcs-10164	2	6	farmers	farmer	NOUN
bitcs-10164	2	7	experience	experience	VERB
bitcs-10164	2	8	crop	crop	NOUN
bitcs-10164	2	9	losses	loss	NOUN
bitcs-10164	2	10	of	of	ADP
bitcs-10164	2	11	up	up	ADP
bitcs-10164	2	12	to	to	PART
bitcs-10164	2	13	37	37	NUM
bitcs-10164	2	14	%	%	NOUN
bitcs-10164	2	15	each	each	DET
bitcs-10164	2	16	year	year	NOUN
bitcs-10164	2	17	due	due	ADP
bitcs-10164	2	18	to	to	ADP
bitcs-10164	2	19	pests	pest	NOUN
bitcs-10164	2	20	and	and	CCONJ
bitcs-10164	2	21	diseases	disease	NOUN
bitcs-10164	2	22	.	.	PUNCT
bitcs-10164	3	1	this	this	DET
bitcs-10164	3	2	study	study	NOUN
bitcs-10164	3	3	aims	aim	VERB
bitcs-10164	3	4	to	to	PART
bitcs-10164	3	5	classify	classify	VERB
bitcs-10164	3	6	rice	rice	NOUN
bitcs-10164	3	7	plant	plant	NOUN
bitcs-10164	3	8	diseases	disease	NOUN
bitcs-10164	3	9	using	use	VERB
bitcs-10164	3	10	the	the	DET
bitcs-10164	3	11	multi	multi	ADJ
bitcs-10164	3	12	-	-	ADJ
bitcs-10164	3	13	class	class	ADJ
bitcs-10164	3	14	support	support	NOUN
bitcs-10164	3	15	vector	vector	NOUN
bitcs-10164	3	16	machine	machine	NOUN
bitcs-10164	3	17	(	(	PUNCT
bitcs-10164	3	18	m	m	NOUN
bitcs-10164	3	19	-	-	PUNCT
bitcs-10164	3	20	svm	svm	ADJ
bitcs-10164	3	21	)	)	PUNCT
bitcs-10164	3	22	method	method	NOUN
bitcs-10164	3	23	based	base	VERB
bitcs-10164	3	24	on	on	ADP
bitcs-10164	3	25	leaf	leaf	NOUN
bitcs-10164	3	26	images	image	NOUN
bitcs-10164	3	27	.	.	PUNCT
bitcs-10164	4	1	this	this	DET
bitcs-10164	4	2	study	study	NOUN
bitcs-10164	4	3	aims	aim	VERB
bitcs-10164	4	4	to	to	PART
bitcs-10164	4	5	provide	provide	VERB
bitcs-10164	4	6	education	education	NOUN
bitcs-10164	4	7	to	to	ADP
bitcs-10164	4	8	farmers	farmer	NOUN
bitcs-10164	4	9	in	in	ADP
bitcs-10164	4	10	recognizing	recognize	VERB
bitcs-10164	4	11	and	and	CCONJ
bitcs-10164	4	12	overcoming	overcome	VERB
bitcs-10164	4	13	diseases	disease	NOUN
bitcs-10164	4	14	in	in	ADP
bitcs-10164	4	15	rice	rice	NOUN
bitcs-10164	4	16	plant	plant	NOUN
bitcs-10164	4	17	leaves	leave	NOUN
bitcs-10164	4	18	.	.	PUNCT
bitcs-10164	5	1	the	the	DET
bitcs-10164	5	2	types	type	NOUN
bitcs-10164	5	3	of	of	ADP
bitcs-10164	5	4	rice	rice	NOUN
bitcs-10164	5	5	leaf	leaf	NOUN
bitcs-10164	5	6	diseases	disease	NOUN
bitcs-10164	5	7	classified	classify	VERB
bitcs-10164	5	8	in	in	ADP
bitcs-10164	5	9	this	this	DET
bitcs-10164	5	10	study	study	NOUN
bitcs-10164	5	11	include	include	VERB
bitcs-10164	5	12	blast	blast	NOUN
bitcs-10164	5	13	,	,	PUNCT
bitcs-10164	5	14	kresek	kresek	NOUN
bitcs-10164	5	15	,	,	PUNCT
bitcs-10164	5	16	and	and	CCONJ
bitcs-10164	5	17	tungro	tungro	VERB
bitcs-10164	5	18	.	.	PUNCT
bitcs-10164	6	1	the	the	DET
bitcs-10164	6	2	data	datum	NOUN
bitcs-10164	6	3	used	use	VERB
bitcs-10164	6	4	in	in	ADP
bitcs-10164	6	5	this	this	DET
bitcs-10164	6	6	study	study	NOUN
bitcs-10164	6	7	amounted	amount	VERB
bitcs-10164	6	8	to	to	ADP
bitcs-10164	6	9	1200	1200	NUM
bitcs-10164	6	10	,	,	PUNCT
bitcs-10164	6	11	which	which	PRON
bitcs-10164	6	12	were	be	AUX
bitcs-10164	6	13	divided	divide	VERB
bitcs-10164	6	14	by	by	ADP
bitcs-10164	6	15	varying	vary	VERB
bitcs-10164	6	16	training	training	NOUN
bitcs-10164	6	17	and	and	CCONJ
bitcs-10164	6	18	testing	testing	NOUN
bitcs-10164	6	19	data	datum	NOUN
bitcs-10164	6	20	ratios	ratio	NOUN
bitcs-10164	6	21	,	,	PUNCT
bitcs-10164	6	22	from	from	ADP
bitcs-10164	6	23	10	10	NUM
bitcs-10164	6	24	%	%	NOUN
bitcs-10164	6	25	training	training	NOUN
bitcs-10164	6	26	and	and	CCONJ
bitcs-10164	6	27	90	90	NUM
bitcs-10164	6	28	%	%	NOUN
bitcs-10164	6	29	testing	testing	NOUN
bitcs-10164	6	30	to	to	ADP
bitcs-10164	6	31	90	90	NUM
bitcs-10164	6	32	%	%	NOUN
bitcs-10164	6	33	training	training	NOUN
bitcs-10164	6	34	and	and	CCONJ
bitcs-10164	6	35	10	10	NUM
bitcs-10164	6	36	%	%	NOUN
bitcs-10164	6	37	testing	testing	NOUN
bitcs-10164	6	38	.	.	PUNCT
bitcs-10164	7	1	each	each	DET
bitcs-10164	7	2	variation	variation	NOUN
bitcs-10164	7	3	of	of	ADP
bitcs-10164	7	4	features	feature	NOUN
bitcs-10164	7	5	and	and	CCONJ
bitcs-10164	7	6	data	datum	NOUN
bitcs-10164	7	7	division	division	NOUN
bitcs-10164	7	8	was	be	AUX
bitcs-10164	7	9	evaluated	evaluate	VERB
bitcs-10164	7	10	by	by	ADP
bitcs-10164	7	11	calculating	calculate	VERB
bitcs-10164	7	12	the	the	DET
bitcs-10164	7	13	model	model	NOUN
bitcs-10164	7	14	performance	performance	NOUN
bitcs-10164	7	15	parameters	parameter	NOUN
bitcs-10164	7	16	.	.	PUNCT
bitcs-10164	8	1	the	the	DET
bitcs-10164	8	2	features	feature	NOUN
bitcs-10164	8	3	used	use	VERB
bitcs-10164	8	4	for	for	ADP
bitcs-10164	8	5	classification	classification	NOUN
bitcs-10164	8	6	include	include	VERB
bitcs-10164	8	7	color	color	NOUN
bitcs-10164	8	8	(	(	PUNCT
bitcs-10164	8	9	rgb	rgb	PROPN
bitcs-10164	8	10	)	)	PUNCT
bitcs-10164	8	11	and	and	CCONJ
bitcs-10164	8	12	texture	texture	NOUN
bitcs-10164	8	13	(	(	PUNCT
bitcs-10164	8	14	glcm	glcm	PROPN
bitcs-10164	8	15	)	)	PUNCT
bitcs-10164	8	16	from	from	ADP
bitcs-10164	8	17	leaf	leaf	NOUN
bitcs-10164	8	18	images	image	NOUN
bitcs-10164	8	19	.	.	PUNCT
bitcs-10164	9	1	the	the	DET
bitcs-10164	9	2	test	test	NOUN
bitcs-10164	9	3	results	result	NOUN
bitcs-10164	9	4	showed	show	VERB
bitcs-10164	9	5	that	that	SCONJ
bitcs-10164	9	6	the	the	DET
bitcs-10164	9	7	best	good	ADJ
bitcs-10164	9	8	accuracy	accuracy	NOUN
bitcs-10164	9	9	obtained	obtain	VERB
bitcs-10164	9	10	was	be	AUX
bitcs-10164	9	11	85.5	85.5	NUM
bitcs-10164	9	12	%	%	NOUN
bitcs-10164	9	13	using	use	VERB
bitcs-10164	9	14	a	a	DET
bitcs-10164	9	15	combination	combination	NOUN
bitcs-10164	9	16	of	of	ADP
bitcs-10164	9	17	color	color	NOUN
bitcs-10164	9	18	and	and	CCONJ
bitcs-10164	9	19	texture	texture	NOUN
bitcs-10164	9	20	features	feature	NOUN
bitcs-10164	9	21	.	.	PUNCT
bitcs-10164	10	1	keywords	keyword	NOUN
bitcs-10164	10	2	:	:	PUNCT
bitcs-10164	10	3	accuracy	accuracy	NOUN
bitcs-10164	10	4	,	,	PUNCT
bitcs-10164	10	5	disease	disease	NOUN
bitcs-10164	10	6	classification	classification	NOUN
bitcs-10164	10	7	,	,	PUNCT
bitcs-10164	10	8	glcm	glcm	NOUN
bitcs-10164	10	9	,	,	PUNCT
bitcs-10164	10	10	leaf	leaf	NOUN
bitcs-10164	10	11	image	image	NOUN
bitcs-10164	10	12	,	,	PUNCT
bitcs-10164	10	13	m	m	NOUN
bitcs-10164	10	14	-	-	PUNCT
bitcs-10164	10	15	svm	svm	ADJ
bitcs-10164	10	16	,	,	PUNCT
bitcs-10164	10	17	rice	rice	NOUN
bitcs-10164	10	18	.	.	PUNCT
bitcs-10164	11	1	i.	i.	PROPN
bitcs-10164	11	2	introduction	introduction	NOUN
bitcs-10164	11	3	the	the	DET
bitcs-10164	11	4	rice	rice	NOUN
bitcs-10164	11	5	farming	farming	NOUN
bitcs-10164	11	6	sector	sector	NOUN
bitcs-10164	11	7	plays	play	VERB
bitcs-10164	11	8	an	an	DET
bitcs-10164	11	9	important	important	ADJ
bitcs-10164	11	10	role	role	NOUN
bitcs-10164	11	11	in	in	ADP
bitcs-10164	11	12	contributing	contribute	VERB
bitcs-10164	11	13	to	to	ADP
bitcs-10164	11	14	the	the	DET
bitcs-10164	11	15	indonesian	indonesian	ADJ
bitcs-10164	11	16	economy	economy	NOUN
bitcs-10164	11	17	,	,	PUNCT
bitcs-10164	11	18	because	because	SCONJ
bitcs-10164	11	19	rice	rice	NOUN
bitcs-10164	11	20	is	be	AUX
bitcs-10164	11	21	one	one	NUM
bitcs-10164	11	22	of	of	ADP
bitcs-10164	11	23	the	the	DET
bitcs-10164	11	24	largest	large	ADJ
bitcs-10164	11	25	commodities	commodity	NOUN
bitcs-10164	11	26	.	.	PUNCT
bitcs-10164	12	1	many	many	ADJ
bitcs-10164	12	2	countries	country	NOUN
bitcs-10164	12	3	,	,	PUNCT
bitcs-10164	12	4	including	include	VERB
bitcs-10164	12	5	indonesia	indonesia	PROPN
bitcs-10164	12	6	,	,	PUNCT
bitcs-10164	12	7	make	make	VERB
bitcs-10164	12	8	rice	rice	NOUN
bitcs-10164	12	9	their	their	PRON
bitcs-10164	12	10	main	main	ADJ
bitcs-10164	12	11	staple	staple	NOUN
bitcs-10164	12	12	food	food	NOUN
bitcs-10164	12	13	.	.	PUNCT
bitcs-10164	13	1	therefore	therefore	ADV
bitcs-10164	13	2	,	,	PUNCT
bitcs-10164	13	3	indonesia	indonesia	PROPN
bitcs-10164	13	4	needs	need	VERB
bitcs-10164	13	5	to	to	PART
bitcs-10164	13	6	continue	continue	VERB
bitcs-10164	13	7	to	to	PART
bitcs-10164	13	8	innovate	innovate	VERB
bitcs-10164	13	9	so	so	SCONJ
bitcs-10164	13	10	that	that	SCONJ
bitcs-10164	13	11	the	the	DET
bitcs-10164	13	12	rice	rice	NOUN
bitcs-10164	13	13	supply	supply	NOUN
bitcs-10164	13	14	remains	remain	VERB
bitcs-10164	13	15	abundant	abundant	ADJ
bitcs-10164	13	16	and	and	CCONJ
bitcs-10164	13	17	stable	stable	ADJ
bitcs-10164	14	1	[	[	X
bitcs-10164	14	2	1	1	NUM
bitcs-10164	14	3	]	]	PUNCT
bitcs-10164	14	4	.	.	PUNCT
bitcs-10164	15	1	agriculture	agriculture	NOUN
bitcs-10164	15	2	itself	itself	PRON
bitcs-10164	15	3	is	be	AUX
bitcs-10164	15	4	an	an	DET
bitcs-10164	15	5	activity	activity	NOUN
bitcs-10164	15	6	that	that	PRON
bitcs-10164	15	7	utilizes	utilize	VERB
bitcs-10164	15	8	nature	nature	NOUN
bitcs-10164	15	9	to	to	PART
bitcs-10164	15	10	produce	produce	VERB
bitcs-10164	15	11	food	food	NOUN
bitcs-10164	15	12	,	,	PUNCT
bitcs-10164	15	13	one	one	NUM
bitcs-10164	15	14	of	of	ADP
bitcs-10164	15	15	which	which	PRON
bitcs-10164	15	16	is	be	AUX
bitcs-10164	15	17	rice	rice	NOUN
bitcs-10164	15	18	cultivation	cultivation	NOUN
bitcs-10164	15	19	.	.	PUNCT
bitcs-10164	16	1	however	however	ADV
bitcs-10164	16	2	,	,	PUNCT
bitcs-10164	16	3	rice	rice	NOUN
bitcs-10164	16	4	plants	plant	NOUN
bitcs-10164	16	5	are	be	AUX
bitcs-10164	16	6	often	often	ADV
bitcs-10164	16	7	attacked	attack	VERB
bitcs-10164	16	8	by	by	ADP
bitcs-10164	16	9	various	various	ADJ
bitcs-10164	16	10	diseases	disease	NOUN
bitcs-10164	16	11	,	,	PUNCT
bitcs-10164	16	12	such	such	ADJ
bitcs-10164	16	13	as	as	ADP
bitcs-10164	16	14	leaf	leaf	NOUN
bitcs-10164	16	15	blight	blight	NOUN
bitcs-10164	16	16	(	(	PUNCT
bitcs-10164	16	17	kresek	kresek	PROPN
bitcs-10164	16	18	)	)	PUNCT
bitcs-10164	16	19	,	,	PUNCT
bitcs-10164	16	20	blast	blast	NOUN
bitcs-10164	16	21	,	,	PUNCT
bitcs-10164	16	22	tungro	tungro	NOUN
bitcs-10164	16	23	and	and	CCONJ
bitcs-10164	16	24	others	other	NOUN
bitcs-10164	17	1	[	[	X
bitcs-10164	17	2	2	2	NUM
bitcs-10164	17	3	]	]	PUNCT
bitcs-10164	17	4	.	.	PUNCT
bitcs-10164	18	1	the	the	DET
bitcs-10164	18	2	development	development	NOUN
bitcs-10164	18	3	of	of	ADP
bitcs-10164	18	4	digital	digital	ADJ
bitcs-10164	18	5	image	image	NOUN
bitcs-10164	18	6	processing	processing	NOUN
bitcs-10164	18	7	technology	technology	NOUN
bitcs-10164	18	8	and	and	CCONJ
bitcs-10164	18	9	artificial	artificial	ADJ
bitcs-10164	18	10	intelligence	intelligence	NOUN
bitcs-10164	18	11	(	(	PUNCT
bitcs-10164	18	12	ai	ai	NOUN
bitcs-10164	18	13	)	)	PUNCT
bitcs-10164	18	14	provides	provide	VERB
bitcs-10164	18	15	potential	potential	ADJ
bitcs-10164	18	16	solutions	solution	NOUN
bitcs-10164	18	17	in	in	ADP
bitcs-10164	18	18	the	the	DET
bitcs-10164	18	19	agricultural	agricultural	ADJ
bitcs-10164	18	20	sector	sector	NOUN
bitcs-10164	18	21	,	,	PUNCT
bitcs-10164	18	22	especially	especially	ADV
bitcs-10164	18	23	in	in	ADP
bitcs-10164	18	24	terms	term	NOUN
bitcs-10164	18	25	of	of	ADP
bitcs-10164	18	26	identifying	identify	VERB
bitcs-10164	18	27	plant	plant	NOUN
bitcs-10164	18	28	diseases	disease	NOUN
bitcs-10164	18	29	.	.	PUNCT
bitcs-10164	19	1	with	with	ADP
bitcs-10164	19	2	the	the	DET
bitcs-10164	19	3	help	help	NOUN
bitcs-10164	19	4	of	of	ADP
bitcs-10164	19	5	machine	machine	NOUN
bitcs-10164	19	6	learning	learning	NOUN
bitcs-10164	19	7	algorithms	algorithm	NOUN
bitcs-10164	19	8	,	,	PUNCT
bitcs-10164	19	9	such	such	ADJ
bitcs-10164	19	10	as	as	ADP
bitcs-10164	19	11	support	support	NOUN
bitcs-10164	19	12	vector	vector	NOUN
bitcs-10164	19	13	machine	machine	NOUN
bitcs-10164	19	14	(	(	PUNCT
bitcs-10164	19	15	svm	svm	PROPN
bitcs-10164	19	16	)	)	PUNCT
bitcs-10164	19	17	,	,	PUNCT
bitcs-10164	19	18	the	the	DET
bitcs-10164	19	19	classification	classification	NOUN
bitcs-10164	19	20	process	process	NOUN
bitcs-10164	19	21	can	can	AUX
bitcs-10164	19	22	be	be	AUX
bitcs-10164	19	23	carried	carry	VERB
bitcs-10164	19	24	out	out	ADP
bitcs-10164	19	25	[	[	X
bitcs-10164	19	26	3	3	NUM
bitcs-10164	19	27	]	]	PUNCT
bitcs-10164	19	28	,	,	PUNCT
bitcs-10164	19	29	multi	multi	ADJ
bitcs-10164	19	30	-	-	ADJ
bitcs-10164	19	31	class	class	ADJ
bitcs-10164	19	32	support	support	NOUN
bitcs-10164	19	33	vector	vector	NOUN
bitcs-10164	19	34	machine	machine	NOUN
bitcs-10164	19	35	(	(	PUNCT
bitcs-10164	19	36	msvm	msvm	PROPN
bitcs-10164	19	37	)	)	PUNCT
bitcs-10164	19	38	is	be	AUX
bitcs-10164	19	39	a	a	DET
bitcs-10164	19	40	variant	variant	NOUN
bitcs-10164	19	41	of	of	ADP
bitcs-10164	19	42	the	the	DET
bitcs-10164	19	43	support	support	NOUN
bitcs-10164	19	44	vector	vector	NOUN
bitcs-10164	19	45	machine	machine	NOUN
bitcs-10164	19	46	(	(	PUNCT
bitcs-10164	19	47	svm	svm	ADJ
bitcs-10164	19	48	)	)	PUNCT
bitcs-10164	19	49	method	method	NOUN
bitcs-10164	19	50	used	use	VERB
bitcs-10164	19	51	to	to	PART
bitcs-10164	19	52	solve	solve	VERB
bitcs-10164	19	53	multi	multi	ADJ
bitcs-10164	19	54	-	-	ADJ
bitcs-10164	19	55	class	class	ADJ
bitcs-10164	19	56	classification	classification	NOUN
bitcs-10164	19	57	problems	problem	NOUN
bitcs-10164	19	58	.	.	PUNCT
bitcs-10164	20	1	svm	svm	PROPN
bitcs-10164	20	2	is	be	AUX
bitcs-10164	20	3	basically	basically	ADV
bitcs-10164	20	4	a	a	DET
bitcs-10164	20	5	classification	classification	NOUN
bitcs-10164	20	6	algorithm	algorithm	NOUN
bitcs-10164	20	7	designed	design	VERB
bitcs-10164	20	8	to	to	PART
bitcs-10164	20	9	handle	handle	VERB
bitcs-10164	20	10	two	two	NUM
bitcs-10164	20	11	-	-	PUNCT
bitcs-10164	20	12	class	class	NOUN
bitcs-10164	20	13	problems	problem	NOUN
bitcs-10164	20	14	(	(	PUNCT
bitcs-10164	20	15	binary	binary	NOUN
bitcs-10164	20	16	classification	classification	NOUN
bitcs-10164	20	17	)	)	PUNCT
bitcs-10164	21	1	[	[	X
bitcs-10164	21	2	4	4	X
bitcs-10164	21	3	]	]	PUNCT
bitcs-10164	21	4	based	base	VERB
bitcs-10164	21	5	on	on	ADP
bitcs-10164	21	6	the	the	DET
bitcs-10164	21	7	background	background	NOUN
bitcs-10164	21	8	of	of	ADP
bitcs-10164	21	9	this	this	DET
bitcs-10164	21	10	problem	problem	NOUN
bitcs-10164	21	11	,	,	PUNCT
bitcs-10164	21	12	researchers	researcher	NOUN
bitcs-10164	21	13	propose	propose	VERB
bitcs-10164	21	14	a	a	DET
bitcs-10164	21	15	solution	solution	NOUN
bitcs-10164	21	16	by	by	ADP
bitcs-10164	21	17	using	use	VERB
bitcs-10164	21	18	the	the	DET
bitcs-10164	21	19	multi	multi	ADJ
bitcs-10164	21	20	-	-	ADJ
bitcs-10164	21	21	class	class	ADJ
bitcs-10164	21	22	support	support	NOUN
bitcs-10164	21	23	vector	vector	NOUN
bitcs-10164	21	24	machine	machine	NOUN
bitcs-10164	21	25	(	(	PUNCT
bitcs-10164	21	26	m	m	NOUN
bitcs-10164	21	27	-	-	PUNCT
bitcs-10164	21	28	svm	svm	ADJ
bitcs-10164	21	29	)	)	PUNCT
bitcs-10164	21	30	method	method	NOUN
bitcs-10164	21	31	.	.	PUNCT
bitcs-10164	22	1	the	the	DET
bitcs-10164	22	2	use	use	NOUN
bitcs-10164	22	3	of	of	ADP
bitcs-10164	22	4	the	the	DET
bitcs-10164	22	5	m	m	ADJ
bitcs-10164	22	6	-	-	ADJ
bitcs-10164	22	7	svm	svm	ADJ
bitcs-10164	22	8	algorithm	algorithm	NOUN
bitcs-10164	22	9	allows	allow	VERB
bitcs-10164	22	10	disease	disease	NOUN
bitcs-10164	22	11	classification	classification	NOUN
bitcs-10164	22	12	based	base	VERB
bitcs-10164	22	13	on	on	ADP
bitcs-10164	22	14	patterns	pattern	NOUN
bitcs-10164	22	15	and	and	CCONJ
bitcs-10164	22	16	textures	texture	NOUN
bitcs-10164	22	17	on	on	ADP
bitcs-10164	22	18	rice	rice	NOUN
bitcs-10164	22	19	leaves	leave	NOUN
bitcs-10164	22	20	,	,	PUNCT
bitcs-10164	22	21	so	so	SCONJ
bitcs-10164	22	22	that	that	SCONJ
bitcs-10164	22	23	each	each	DET
bitcs-10164	22	24	type	type	NOUN
bitcs-10164	22	25	of	of	ADP
bitcs-10164	22	26	disease	disease	NOUN
bitcs-10164	22	27	can	can	AUX
bitcs-10164	22	28	be	be	AUX
bitcs-10164	22	29	recognized	recognize	VERB
bitcs-10164	22	30	more	more	ADV
bitcs-10164	22	31	quickly	quickly	ADV
bitcs-10164	22	32	and	and	CCONJ
bitcs-10164	22	33	accurately	accurately	ADV
bitcs-10164	22	34	.	.	PUNCT
bitcs-10164	23	1	ii	ii	X
bitcs-10164	23	2	.	.	PUNCT
bitcs-10164	24	1	methods	method	NOUN
bitcs-10164	24	2	in	in	ADP
bitcs-10164	24	3	(	(	PUNCT
bitcs-10164	24	4	figure	figure	NOUN
bitcs-10164	24	5	1	1	NUM
bitcs-10164	24	6	)	)	PUNCT
bitcs-10164	24	7	it	it	PRON
bitcs-10164	24	8	will	will	AUX
bitcs-10164	24	9	explain	explain	VERB
bitcs-10164	24	10	the	the	DET
bitcs-10164	24	11	research	research	NOUN
bitcs-10164	24	12	stages	stage	NOUN
bitcs-10164	24	13	including	include	VERB
bitcs-10164	24	14	several	several	ADJ
bitcs-10164	24	15	steps	step	NOUN
bitcs-10164	24	16	carried	carry	VERB
bitcs-10164	24	17	out	out	ADP
bitcs-10164	24	18	systematically	systematically	ADV
bitcs-10164	24	19	to	to	PART
bitcs-10164	24	20	achieve	achieve	VERB
bitcs-10164	24	21	the	the	DET
bitcs-10164	24	22	objectives	objective	NOUN
bitcs-10164	24	23	of	of	ADP
bitcs-10164	24	24	the	the	DET
bitcs-10164	24	25	research	research	NOUN
bitcs-10164	24	26	,	,	PUNCT
bitcs-10164	24	27	the	the	DET
bitcs-10164	24	28	research	research	NOUN
bitcs-10164	24	29	stages	stage	NOUN
bitcs-10164	24	30	include	include	VERB
bitcs-10164	24	31	starting	start	VERB
bitcs-10164	24	32	,	,	PUNCT
bitcs-10164	24	33	input	input	NOUN
bitcs-10164	24	34	of	of	ADP
bitcs-10164	24	35	rice	rice	NOUN
bitcs-10164	24	36	leaves	leave	NOUN
bitcs-10164	24	37	,	,	PUNCT
bitcs-10164	24	38	analysis	analysis	NOUN
bitcs-10164	24	39	of	of	ADP
bitcs-10164	24	40	the	the	DET
bitcs-10164	24	41	problem	problem	NOUN
bitcs-10164	24	42	identification	identification	NOUN
bitcs-10164	24	43	system	system	NOUN
bitcs-10164	24	44	,	,	PUNCT
bitcs-10164	24	45	implementation	implementation	NOUN
bitcs-10164	24	46	,	,	PUNCT
bitcs-10164	24	47	trial	trial	NOUN
bitcs-10164	24	48	,	,	PUNCT
bitcs-10164	24	49	success	success	NOUN
bitcs-10164	24	50	.	.	PUNCT
bitcs-10164	25	1	mailto:febytanesab@gmail.ac.id	mailto:febytanesab@gmail.ac.id	PROPN
bitcs-10164	25	2	mailto:rangga@widyagama.ac.id	mailto:rangga@widyagama.ac.id	PROPN
bitcs-10164	25	3	mailto:aviv@widyagama.ac.id	mailto:aviv@widyagama.ac.id	PROPN
bitcs-10164	25	4	vol.6	vol.6	PROPN
bitcs-10164	25	5	,	,	PUNCT
bitcs-10164	25	6	no.2	no.2	PROPN
bitcs-10164	25	7	,	,	PUNCT
bitcs-10164	25	8	july	july	PROPN
bitcs-10164	25	9	2025	2025	NUM
bitcs-10164	25	10	|	|	ADV
bitcs-10164	25	11	67	67	NUM
bitcs-10164	25	12	.	.	PUNCT
bitcs-10164	26	1	figure	figure	NOUN
bitcs-10164	26	2	1	1	NUM
bitcs-10164	26	3	.	.	PUNCT
bitcs-10164	26	4	research	research	NOUN
bitcs-10164	26	5	stage	stage	NOUN
bitcs-10164	26	6	flowcart	flowcart	NOUN
bitcs-10164	26	7	.	.	PUNCT
bitcs-10164	27	1	(	(	PUNCT
bitcs-10164	27	2	source	source	NOUN
bitcs-10164	27	3	:	:	PUNCT
bitcs-10164	27	4	personal	personal	ADJ
bitcs-10164	27	5	preparation	preparation	NOUN
bitcs-10164	27	6	)	)	PUNCT
bitcs-10164	27	7	1	1	NUM
bitcs-10164	27	8	.	.	PUNCT
bitcs-10164	28	1	input	input	NOUN
bitcs-10164	28	2	data	datum	NOUN
bitcs-10164	28	3	for	for	ADP
bitcs-10164	28	4	rice	rice	NOUN
bitcs-10164	28	5	disease	disease	NOUN
bitcs-10164	28	6	leaves	leave	VERB
bitcs-10164	28	7	:	:	PUNCT
bitcs-10164	28	8	(	(	PUNCT
bitcs-10164	28	9	a	a	NOUN
bitcs-10164	28	10	)	)	PUNCT
bitcs-10164	28	11	.	.	PUNCT
bitcs-10164	29	1	leaf	leaf	NOUN
bitcs-10164	29	2	blight	blight	NOUN
bitcs-10164	29	3	(	(	PUNCT
bitcs-10164	29	4	kresek	kresek	NOUN
bitcs-10164	29	5	)	)	PUNCT
bitcs-10164	29	6	(	(	PUNCT
bitcs-10164	29	7	b	b	NOUN
bitcs-10164	29	8	)	)	PUNCT
bitcs-10164	29	9	.	.	PUNCT
bitcs-10164	30	1	blast	blast	NOUN
bitcs-10164	30	2	(	(	PUNCT
bitcs-10164	30	3	c	c	NOUN
bitcs-10164	30	4	)	)	PUNCT
bitcs-10164	30	5	.	.	PUNCT
bitcs-10164	31	1	tungro	tungro	NOUN
bitcs-10164	31	2	figure	figure	NOUN
bitcs-10164	31	3	2	2	NUM
bitcs-10164	31	4	.	.	PUNCT
bitcs-10164	31	5	image	image	NOUN
bitcs-10164	31	6	of	of	ADP
bitcs-10164	31	7	rice	rice	NOUN
bitcs-10164	31	8	leaves	leave	VERB
bitcs-10164	31	9	in	in	ADP
bitcs-10164	31	10	(	(	PUNCT
bitcs-10164	31	11	figure	figure	NOUN
bitcs-10164	31	12	2	2	NUM
bitcs-10164	31	13	)	)	PUNCT
bitcs-10164	31	14	we	we	PRON
bitcs-10164	31	15	will	will	AUX
bitcs-10164	31	16	explain	explain	VERB
bitcs-10164	31	17	about	about	ADP
bitcs-10164	31	18	3	3	NUM
bitcs-10164	31	19	diseases	disease	NOUN
bitcs-10164	31	20	of	of	ADP
bitcs-10164	31	21	rice	rice	NOUN
bitcs-10164	31	22	as	as	SCONJ
bitcs-10164	31	23	follows	follow	VERB
bitcs-10164	31	24	:	:	PUNCT
bitcs-10164	31	25	a.	a.	NOUN
bitcs-10164	31	26	bacterial	bacterial	ADJ
bitcs-10164	31	27	leaf	leaf	NOUN
bitcs-10164	31	28	blight	blight	NOUN
bitcs-10164	31	29	is	be	AUX
bitcs-10164	31	30	a	a	DET
bitcs-10164	31	31	very	very	ADV
bitcs-10164	31	32	common	common	ADJ
bitcs-10164	31	33	disease	disease	NOUN
bitcs-10164	31	34	found	find	VERB
bitcs-10164	31	35	in	in	ADP
bitcs-10164	31	36	rice	rice	NOUN
bitcs-10164	31	37	fields	field	NOUN
bitcs-10164	31	38	.	.	PUNCT
bitcs-10164	32	1	the	the	DET
bitcs-10164	32	2	main	main	ADJ
bitcs-10164	32	3	cause	cause	NOUN
bitcs-10164	32	4	of	of	ADP
bitcs-10164	32	5	this	this	DET
bitcs-10164	32	6	disease	disease	NOUN
bitcs-10164	32	7	is	be	AUX
bitcs-10164	32	8	the	the	DET
bitcs-10164	32	9	bacteria	bacteria	NOUN
bitcs-10164	32	10	xanthomonas	xanthomonas	PROPN
bitcs-10164	32	11	oryzae	oryzae	PROPN
bitcs-10164	32	12	.	.	PUNCT
bitcs-10164	33	1	symptoms	symptom	NOUN
bitcs-10164	33	2	of	of	ADP
bitcs-10164	33	3	bacterial	bacterial	ADJ
bitcs-10164	33	4	leaf	leaf	NOUN
bitcs-10164	33	5	blight	blight	NOUN
bitcs-10164	33	6	on	on	ADP
bitcs-10164	33	7	leaf	leaf	NOUN
bitcs-10164	33	8	blades	blade	NOUN
bitcs-10164	33	9	are	be	AUX
bitcs-10164	33	10	characterized	characterize	VERB
bitcs-10164	33	11	by	by	ADP
bitcs-10164	33	12	damage	damage	NOUN
bitcs-10164	33	13	that	that	PRON
bitcs-10164	33	14	usually	usually	ADV
bitcs-10164	33	15	begins	begin	VERB
bitcs-10164	33	16	a	a	DET
bitcs-10164	33	17	few	few	ADJ
bitcs-10164	33	18	centimeters	centimeter	NOUN
bitcs-10164	33	19	from	from	ADP
bitcs-10164	33	20	the	the	DET
bitcs-10164	33	21	edge	edge	NOUN
bitcs-10164	33	22	,	,	PUNCT
bitcs-10164	33	23	which	which	PRON
bitcs-10164	33	24	appears	appear	VERB
bitcs-10164	33	25	as	as	ADP
bitcs-10164	33	26	lines	line	NOUN
bitcs-10164	33	27	and	and	CCONJ
bitcs-10164	33	28	blisters	blister	NOUN
bitcs-10164	33	29	,	,	PUNCT
bitcs-10164	33	30	then	then	ADV
bitcs-10164	33	31	spreads	spread	VERB
bitcs-10164	33	32	to	to	ADP
bitcs-10164	33	33	the	the	DET
bitcs-10164	33	34	wavy	wavy	ADJ
bitcs-10164	33	35	edges	edge	NOUN
bitcs-10164	33	36	[	[	PUNCT
bitcs-10164	33	37	1	1	NUM
bitcs-10164	33	38	]	]	PUNCT
bitcs-10164	33	39	.	.	PUNCT
bitcs-10164	34	1	b.	b.	PROPN
bitcs-10164	34	2	blast	blast	PROPN
bitcs-10164	34	3	disease	disease	NOUN
bitcs-10164	34	4	caused	cause	VERB
bitcs-10164	34	5	by	by	ADP
bitcs-10164	34	6	pyricularia	pyricularia	PROPN
bitcs-10164	34	7	grisea	grisea	PROPN
bitcs-10164	34	8	is	be	AUX
bitcs-10164	34	9	an	an	DET
bitcs-10164	34	10	important	important	ADJ
bitcs-10164	34	11	disease	disease	NOUN
bitcs-10164	34	12	in	in	ADP
bitcs-10164	34	13	rice	rice	NOUN
bitcs-10164	34	14	plants	plant	NOUN
bitcs-10164	34	15	in	in	ADP
bitcs-10164	34	16	indonesia	indonesia	PROPN
bitcs-10164	34	17	,	,	PUNCT
bitcs-10164	34	18	especially	especially	ADV
bitcs-10164	34	19	in	in	ADP
bitcs-10164	34	20	upland	upland	NOUN
bitcs-10164	34	21	rice	rice	NOUN
bitcs-10164	34	22	in	in	ADP
bitcs-10164	34	23	dry	dry	ADJ
bitcs-10164	34	24	land	land	NOUN
bitcs-10164	34	25	.	.	PUNCT
bitcs-10164	35	1	grisea	grisea	PROPN
bitcs-10164	35	2	infects	infect	VERB
bitcs-10164	35	3	the	the	DET
bitcs-10164	35	4	leaves	leave	NOUN
bitcs-10164	35	5	and	and	CCONJ
bitcs-10164	35	6	causes	cause	VERB
bitcs-10164	35	7	disease	disease	NOUN
bitcs-10164	35	8	symptoms	symptom	NOUN
bitcs-10164	35	9	in	in	ADP
bitcs-10164	35	10	the	the	DET
bitcs-10164	35	11	form	form	NOUN
bitcs-10164	35	12	of	of	ADP
bitcs-10164	35	13	diamond	diamond	NOUN
bitcs-10164	35	14	-	-	PUNCT
bitcs-10164	35	15	shaped	shape	VERB
bitcs-10164	35	16	brown	brown	ADJ
bitcs-10164	35	17	spots	spot	NOUN
bitcs-10164	35	18	called	call	VERB
bitcs-10164	35	19	leaf	leaf	NOUN
bitcs-10164	35	20	blast	blast	NOUN
bitcs-10164	36	1	[	[	X
bitcs-10164	36	2	5	5	NUM
bitcs-10164	36	3	]	]	PUNCT
bitcs-10164	36	4	.	.	PUNCT
bitcs-10164	37	1	c.	c.	NOUN
bitcs-10164	37	2	tungro	tungro	PROPN
bitcs-10164	37	3	is	be	AUX
bitcs-10164	37	4	a	a	DET
bitcs-10164	37	5	disease	disease	NOUN
bitcs-10164	37	6	caused	cause	VERB
bitcs-10164	37	7	by	by	ADP
bitcs-10164	37	8	a	a	DET
bitcs-10164	37	9	double	double	ADJ
bitcs-10164	37	10	infection	infection	NOUN
bitcs-10164	37	11	of	of	ADP
bitcs-10164	37	12	2	2	NUM
bitcs-10164	37	13	different	different	ADJ
bitcs-10164	37	14	types	type	NOUN
bitcs-10164	37	15	of	of	ADP
bitcs-10164	37	16	viruses	virus	NOUN
bitcs-10164	37	17	.	.	PUNCT
bitcs-10164	38	1	the	the	DET
bitcs-10164	38	2	second	second	ADJ
bitcs-10164	38	3	virus	virus	NOUN
bitcs-10164	38	4	in	in	ADP
bitcs-10164	38	5	question	question	NOUN
bitcs-10164	38	6	is	be	AUX
bitcs-10164	38	7	rice	rice	NOUN
bitcs-10164	38	8	tungro	tungro	NOUN
bitcs-10164	38	9	spherical	spherical	ADJ
bitcs-10164	38	10	virus	virus	NOUN
bitcs-10164	38	11	(	(	PUNCT
bitcs-10164	38	12	rtsv	rtsv	NOUN
bitcs-10164	38	13	)	)	PUNCT
bitcs-10164	38	14	and	and	CCONJ
bitcs-10164	38	15	rice	rice	NOUN
bitcs-10164	38	16	tungro	tungro	NOUN
bitcs-10164	38	17	bacilliform	bacilliform	NOUN
bitcs-10164	38	18	virus	virus	NOUN
bitcs-10164	38	19	(	(	PUNCT
bitcs-10164	38	20	rtbv	rtbv	PROPN
bitcs-10164	38	21	)	)	PUNCT
bitcs-10164	38	22	.	.	PUNCT
bitcs-10164	39	1	vol.6	vol.6	PROPN
bitcs-10164	39	2	,	,	PUNCT
bitcs-10164	39	3	no.2	no.2	PROPN
bitcs-10164	39	4	,	,	PUNCT
bitcs-10164	39	5	july	july	PROPN
bitcs-10164	39	6	2025	2025	NUM
bitcs-10164	39	7	|	|	ADV
bitcs-10164	39	8	68	68	NUM
bitcs-10164	39	9	symptoms	symptom	NOUN
bitcs-10164	39	10	of	of	ADP
bitcs-10164	39	11	tungro	tungro	NOUN
bitcs-10164	39	12	disease	disease	NOUN
bitcs-10164	39	13	are	be	AUX
bitcs-10164	39	14	that	that	SCONJ
bitcs-10164	39	15	the	the	DET
bitcs-10164	39	16	leaves	leave	NOUN
bitcs-10164	39	17	will	will	AUX
bitcs-10164	39	18	turn	turn	VERB
bitcs-10164	39	19	yellow	yellow	ADJ
bitcs-10164	39	20	starting	start	VERB
bitcs-10164	39	21	from	from	ADP
bitcs-10164	39	22	the	the	DET
bitcs-10164	39	23	tips	tip	NOUN
bitcs-10164	39	24	of	of	ADP
bitcs-10164	39	25	the	the	DET
bitcs-10164	39	26	leaves	leave	NOUN
bitcs-10164	39	27	that	that	PRON
bitcs-10164	39	28	are	be	AUX
bitcs-10164	39	29	still	still	ADV
bitcs-10164	39	30	in	in	ADP
bitcs-10164	39	31	the	the	DET
bitcs-10164	39	32	growth	growth	NOUN
bitcs-10164	39	33	stage	stage	NOUN
bitcs-10164	39	34	[	[	X
bitcs-10164	39	35	5	5	NUM
bitcs-10164	39	36	]	]	PUNCT
bitcs-10164	39	37	.	.	PUNCT
bitcs-10164	40	1	rice	rice	NOUN
bitcs-10164	40	2	plants	plant	NOUN
bitcs-10164	40	3	are	be	AUX
bitcs-10164	40	4	susceptible	susceptible	ADJ
bitcs-10164	40	5	to	to	ADP
bitcs-10164	40	6	various	various	ADJ
bitcs-10164	40	7	types	type	NOUN
bitcs-10164	40	8	of	of	ADP
bitcs-10164	40	9	diseases	disease	NOUN
bitcs-10164	40	10	.	.	PUNCT
bitcs-10164	41	1	in	in	ADP
bitcs-10164	41	2	this	this	DET
bitcs-10164	41	3	study	study	NOUN
bitcs-10164	41	4	,	,	PUNCT
bitcs-10164	41	5	we	we	PRON
bitcs-10164	41	6	focus	focus	VERB
bitcs-10164	41	7	on	on	ADP
bitcs-10164	41	8	three	three	NUM
bitcs-10164	41	9	main	main	ADJ
bitcs-10164	41	10	types	type	NOUN
bitcs-10164	41	11	of	of	ADP
bitcs-10164	41	12	diseases	disease	NOUN
bitcs-10164	41	13	in	in	ADP
bitcs-10164	41	14	rice	rice	NOUN
bitcs-10164	41	15	plants	plant	NOUN
bitcs-10164	41	16	,	,	PUNCT
bitcs-10164	41	17	namely	namely	ADV
bitcs-10164	41	18	tungro	tungro	NOUN
bitcs-10164	41	19	disease	disease	NOUN
bitcs-10164	41	20	,	,	PUNCT
bitcs-10164	41	21	leaf	leaf	NOUN
bitcs-10164	41	22	blight	blight	NOUN
bitcs-10164	41	23	,	,	PUNCT
bitcs-10164	41	24	and	and	CCONJ
bitcs-10164	41	25	leaf	leaf	NOUN
bitcs-10164	41	26	blast	blast	NOUN
bitcs-10164	41	27	.	.	PUNCT
bitcs-10164	42	1	the	the	DET
bitcs-10164	42	2	data	datum	NOUN
bitcs-10164	42	3	used	use	VERB
bitcs-10164	42	4	consists	consist	NOUN
bitcs-10164	42	5	of	of	ADP
bitcs-10164	42	6	1200	1200	NUM
bitcs-10164	42	7	leaf	leaf	NOUN
bitcs-10164	42	8	images	image	NOUN
bitcs-10164	42	9	divided	divide	VERB
bitcs-10164	42	10	into	into	ADP
bitcs-10164	42	11	3	3	NUM
bitcs-10164	42	12	classes	class	NOUN
bitcs-10164	42	13	,	,	PUNCT
bitcs-10164	42	14	namely	namely	ADV
bitcs-10164	42	15	400	400	NUM
bitcs-10164	42	16	leaf	leaf	NOUN
bitcs-10164	42	17	blight	blight	NOUN
bitcs-10164	42	18	(	(	PUNCT
bitcs-10164	42	19	kresek	kresek	NOUN
bitcs-10164	42	20	)	)	PUNCT
bitcs-10164	42	21	image	image	NOUN
bitcs-10164	42	22	data	datum	NOUN
bitcs-10164	42	23	,	,	PUNCT
bitcs-10164	42	24	400	400	NUM
bitcs-10164	42	25	leaf	leaf	NOUN
bitcs-10164	42	26	blast	blast	NOUN
bitcs-10164	42	27	image	image	NOUN
bitcs-10164	42	28	data	datum	NOUN
bitcs-10164	42	29	,	,	PUNCT
bitcs-10164	42	30	400	400	NUM
bitcs-10164	42	31	tungro	tungro	NOUN
bitcs-10164	42	32	image	image	NOUN
bitcs-10164	42	33	data	datum	NOUN
bitcs-10164	42	34	.	.	PUNCT
bitcs-10164	43	1	data	datum	NOUN
bitcs-10164	43	2	division	division	NOUN
bitcs-10164	43	3	is	be	AUX
bitcs-10164	43	4	carried	carry	VERB
bitcs-10164	43	5	out	out	ADP
bitcs-10164	43	6	for	for	ADP
bitcs-10164	43	7	training	training	NOUN
bitcs-10164	43	8	data	datum	NOUN
bitcs-10164	43	9	(	(	PUNCT
bitcs-10164	43	10	80	80	NUM
bitcs-10164	43	11	%	%	NOUN
bitcs-10164	43	12	)	)	PUNCT
bitcs-10164	43	13	and	and	CCONJ
bitcs-10164	43	14	test	test	NOUN
bitcs-10164	43	15	data	datum	NOUN
bitcs-10164	43	16	(	(	PUNCT
bitcs-10164	43	17	20	20	NUM
bitcs-10164	43	18	%	%	NOUN
bitcs-10164	43	19	)	)	PUNCT
bitcs-10164	44	1	[	[	X
bitcs-10164	44	2	3	3	NUM
bitcs-10164	44	3	]	]	PUNCT
bitcs-10164	44	4	.	.	PUNCT
bitcs-10164	45	1	2	2	X
bitcs-10164	45	2	.	.	X
bitcs-10164	45	3	pre	pre	ADJ
bitcs-10164	45	4	-	-	ADJ
bitcs-10164	45	5	processing	processing	ADJ
bitcs-10164	45	6	pre	pre	ADJ
bitcs-10164	45	7	-	-	ADJ
bitcs-10164	45	8	processing	processing	NOUN
bitcs-10164	45	9	is	be	AUX
bitcs-10164	45	10	a	a	DET
bitcs-10164	45	11	crucial	crucial	ADJ
bitcs-10164	45	12	step	step	NOUN
bitcs-10164	45	13	that	that	PRON
bitcs-10164	45	14	is	be	AUX
bitcs-10164	45	15	carried	carry	VERB
bitcs-10164	45	16	out	out	ADP
bitcs-10164	45	17	before	before	SCONJ
bitcs-10164	45	18	the	the	DET
bitcs-10164	45	19	image	image	NOUN
bitcs-10164	45	20	is	be	AUX
bitcs-10164	45	21	used	use	VERB
bitcs-10164	45	22	for	for	ADP
bitcs-10164	45	23	feature	feature	NOUN
bitcs-10164	45	24	extraction	extraction	NOUN
bitcs-10164	45	25	or	or	CCONJ
bitcs-10164	45	26	classification	classification	NOUN
bitcs-10164	45	27	model	model	NOUN
bitcs-10164	45	28	development	development	NOUN
bitcs-10164	45	29	.	.	PUNCT
bitcs-10164	46	1	the	the	DET
bitcs-10164	46	2	main	main	ADJ
bitcs-10164	46	3	purpose	purpose	NOUN
bitcs-10164	46	4	of	of	ADP
bitcs-10164	46	5	this	this	DET
bitcs-10164	46	6	stage	stage	NOUN
bitcs-10164	46	7	is	be	AUX
bitcs-10164	46	8	to	to	PART
bitcs-10164	46	9	prepare	prepare	VERB
bitcs-10164	46	10	the	the	DET
bitcs-10164	46	11	image	image	NOUN
bitcs-10164	46	12	so	so	SCONJ
bitcs-10164	46	13	that	that	SCONJ
bitcs-10164	46	14	it	it	PRON
bitcs-10164	46	15	is	be	AUX
bitcs-10164	46	16	more	more	ADV
bitcs-10164	46	17	ready	ready	ADJ
bitcs-10164	46	18	for	for	ADP
bitcs-10164	46	19	further	further	ADJ
bitcs-10164	46	20	analysis	analysis	NOUN
bitcs-10164	46	21	and	and	CCONJ
bitcs-10164	46	22	can	can	AUX
bitcs-10164	46	23	improve	improve	VERB
bitcs-10164	46	24	accuracy	accuracy	NOUN
bitcs-10164	46	25	[	[	X
bitcs-10164	46	26	6	6	NUM
bitcs-10164	46	27	]	]	PUNCT
bitcs-10164	46	28	.	.	PUNCT
bitcs-10164	47	1	the	the	DET
bitcs-10164	47	2	disease	disease	NOUN
bitcs-10164	47	3	detection	detection	NOUN
bitcs-10164	47	4	system	system	NOUN
bitcs-10164	47	5	at	at	ADP
bitcs-10164	47	6	this	this	DET
bitcs-10164	47	7	processing	processing	NOUN
bitcs-10164	47	8	stage	stage	NOUN
bitcs-10164	47	9	includes	include	VERB
bitcs-10164	47	10	:	:	PUNCT
bitcs-10164	47	11	normalization	normalization	NOUN
bitcs-10164	47	12	,	,	PUNCT
bitcs-10164	47	13	contraction	contraction	NOUN
bitcs-10164	47	14	,	,	PUNCT
bitcs-10164	47	15	cropping	cropping	NOUN
bitcs-10164	47	16	,	,	PUNCT
bitcs-10164	47	17	resize	resize	NOUN
bitcs-10164	47	18	.	.	PUNCT
bitcs-10164	48	1	3	3	X
bitcs-10164	48	2	.	.	X
bitcs-10164	48	3	glcm	glcm	PROPN
bitcs-10164	48	4	and	and	CCONJ
bitcs-10164	48	5	rgb	rgb	PROPN
bitcs-10164	48	6	feature	feature	NOUN
bitcs-10164	48	7	extraction	extraction	NOUN
bitcs-10164	48	8	glcm	glcm	NOUN
bitcs-10164	48	9	(	(	PUNCT
bitcs-10164	48	10	gray	gray	ADJ
bitcs-10164	48	11	level	level	NOUN
bitcs-10164	48	12	co	co	NOUN
bitcs-10164	48	13	-	-	NOUN
bitcs-10164	48	14	occurrence	occurrence	ADJ
bitcs-10164	48	15	matrix	matrix	NOUN
bitcs-10164	48	16	)	)	PUNCT
bitcs-10164	48	17	and	and	CCONJ
bitcs-10164	48	18	rgb	rgb	PROPN
bitcs-10164	48	19	(	(	PUNCT
bitcs-10164	48	20	red	red	ADJ
bitcs-10164	48	21	,	,	PUNCT
bitcs-10164	48	22	green	green	ADJ
bitcs-10164	48	23	,	,	PUNCT
bitcs-10164	48	24	blue	blue	ADJ
bitcs-10164	48	25	)	)	PUNCT
bitcs-10164	48	26	feature	feature	NOUN
bitcs-10164	48	27	extraction	extraction	NOUN
bitcs-10164	48	28	are	be	AUX
bitcs-10164	48	29	used	use	VERB
bitcs-10164	48	30	to	to	PART
bitcs-10164	48	31	analyse	analyse	VERB
bitcs-10164	48	32	the	the	DET
bitcs-10164	48	33	texture	texture	NOUN
bitcs-10164	48	34	and	and	CCONJ
bitcs-10164	48	35	color	color	NOUN
bitcs-10164	48	36	of	of	ADP
bitcs-10164	48	37	rice	rice	NOUN
bitcs-10164	48	38	leaf	leaf	NOUN
bitcs-10164	48	39	images	image	NOUN
bitcs-10164	48	40	,	,	PUNCT
bitcs-10164	48	41	especially	especially	ADV
bitcs-10164	48	42	in	in	ADP
bitcs-10164	48	43	detecting	detect	VERB
bitcs-10164	48	44	and	and	CCONJ
bitcs-10164	48	45	classifying	classify	VERB
bitcs-10164	48	46	diseases	disease	NOUN
bitcs-10164	48	47	that	that	PRON
bitcs-10164	48	48	attack	attack	NOUN
bitcs-10164	48	49	rice	rice	NOUN
bitcs-10164	48	50	leaves	leave	VERB
bitcs-10164	48	51	[	[	X
bitcs-10164	48	52	7	7	NUM
bitcs-10164	48	53	]	]	PUNCT
bitcs-10164	48	54	.	.	PUNCT
bitcs-10164	49	1	when	when	SCONJ
bitcs-10164	49	2	rice	rice	NOUN
bitcs-10164	49	3	leaves	leave	NOUN
bitcs-10164	49	4	are	be	AUX
bitcs-10164	49	5	infected	infect	VERB
bitcs-10164	49	6	with	with	ADP
bitcs-10164	49	7	disease	disease	NOUN
bitcs-10164	49	8	,	,	PUNCT
bitcs-10164	49	9	both	both	CCONJ
bitcs-10164	49	10	the	the	DET
bitcs-10164	49	11	texture	texture	NOUN
bitcs-10164	49	12	and	and	CCONJ
bitcs-10164	49	13	color	color	NOUN
bitcs-10164	49	14	of	of	ADP
bitcs-10164	49	15	the	the	DET
bitcs-10164	49	16	leaves	leave	NOUN
bitcs-10164	49	17	will	will	AUX
bitcs-10164	49	18	experience	experience	VERB
bitcs-10164	49	19	different	different	ADJ
bitcs-10164	49	20	changes	change	NOUN
bitcs-10164	49	21	from	from	ADP
bitcs-10164	49	22	healthy	healthy	ADJ
bitcs-10164	49	23	leaves	leave	NOUN
bitcs-10164	49	24	.	.	PUNCT
bitcs-10164	50	1	infection	infection	NOUN
bitcs-10164	50	2	can	can	AUX
bitcs-10164	50	3	cause	cause	VERB
bitcs-10164	50	4	color	color	NOUN
bitcs-10164	50	5	changes	change	NOUN
bitcs-10164	50	6	,	,	PUNCT
bitcs-10164	50	7	such	such	ADJ
bitcs-10164	50	8	as	as	ADP
bitcs-10164	50	9	yellowish	yellowish	NOUN
bitcs-10164	50	10	or	or	CCONJ
bitcs-10164	50	11	brownish	brownish	ADJ
bitcs-10164	50	12	,	,	PUNCT
bitcs-10164	50	13	as	as	ADV
bitcs-10164	50	14	well	well	ADV
bitcs-10164	50	15	as	as	ADP
bitcs-10164	50	16	the	the	DET
bitcs-10164	50	17	appearance	appearance	NOUN
bitcs-10164	50	18	of	of	ADP
bitcs-10164	50	19	spots	spot	NOUN
bitcs-10164	50	20	with	with	ADP
bitcs-10164	50	21	certain	certain	ADJ
bitcs-10164	50	22	intensities	intensity	NOUN
bitcs-10164	50	23	,	,	PUNCT
bitcs-10164	50	24	which	which	PRON
bitcs-10164	50	25	can	can	AUX
bitcs-10164	50	26	be	be	AUX
bitcs-10164	50	27	analyzed	analyze	VERB
bitcs-10164	50	28	through	through	ADP
bitcs-10164	50	29	rgb	rgb	PROPN
bitcs-10164	50	30	features	feature	NOUN
bitcs-10164	50	31	[	[	X
bitcs-10164	50	32	8	8	NUM
bitcs-10164	50	33	]	]	PUNCT
bitcs-10164	50	34	.	.	PUNCT
bitcs-10164	51	1	in	in	ADP
bitcs-10164	51	2	addition	addition	NOUN
bitcs-10164	51	3	,	,	PUNCT
bitcs-10164	51	4	changes	change	NOUN
bitcs-10164	51	5	in	in	ADP
bitcs-10164	51	6	texture	texture	ADJ
bitcs-10164	51	7	patterns	pattern	NOUN
bitcs-10164	51	8	such	such	ADJ
bitcs-10164	51	9	as	as	ADP
bitcs-10164	51	10	spots	spot	NOUN
bitcs-10164	51	11	,	,	PUNCT
bitcs-10164	51	12	lines	line	NOUN
bitcs-10164	51	13	,	,	PUNCT
bitcs-10164	51	14	or	or	CCONJ
bitcs-10164	51	15	holes	hole	NOUN
bitcs-10164	51	16	on	on	ADP
bitcs-10164	51	17	leaves	leave	NOUN
bitcs-10164	51	18	can	can	AUX
bitcs-10164	51	19	be	be	AUX
bitcs-10164	51	20	evaluated	evaluate	VERB
bitcs-10164	51	21	using	use	VERB
bitcs-10164	51	22	the	the	DET
bitcs-10164	51	23	glcm	glcm	PROPN
bitcs-10164	51	24	method	method	NOUN
bitcs-10164	51	25	which	which	PRON
bitcs-10164	51	26	extracts	extract	VERB
bitcs-10164	51	27	features	feature	NOUN
bitcs-10164	51	28	such	such	ADJ
bitcs-10164	51	29	as	as	ADP
bitcs-10164	51	30	contrast	contrast	NOUN
bitcs-10164	51	31	and	and	CCONJ
bitcs-10164	51	32	correlation	correlation	NOUN
bitcs-10164	51	33	.	.	PUNCT
bitcs-10164	52	1	by	by	ADP
bitcs-10164	52	2	combining	combine	VERB
bitcs-10164	52	3	texture	texture	ADJ
bitcs-10164	52	4	analysis	analysis	NOUN
bitcs-10164	52	5	using	use	VERB
bitcs-10164	52	6	glcm	glcm	NOUN
bitcs-10164	52	7	and	and	CCONJ
bitcs-10164	52	8	color	color	NOUN
bitcs-10164	52	9	analysis	analysis	NOUN
bitcs-10164	52	10	using	use	VERB
bitcs-10164	52	11	rgb	rgb	PROPN
bitcs-10164	52	12	,	,	PUNCT
bitcs-10164	52	13	we	we	PRON
bitcs-10164	52	14	can	can	AUX
bitcs-10164	52	15	obtain	obtain	VERB
bitcs-10164	52	16	more	more	ADV
bitcs-10164	52	17	complete	complete	ADJ
bitcs-10164	52	18	information	information	NOUN
bitcs-10164	52	19	about	about	ADP
bitcs-10164	52	20	the	the	DET
bitcs-10164	52	21	condition	condition	NOUN
bitcs-10164	52	22	of	of	ADP
bitcs-10164	52	23	rice	rice	NOUN
bitcs-10164	52	24	leaves	leave	NOUN
bitcs-10164	52	25	,	,	PUNCT
bitcs-10164	52	26	thereby	thereby	ADV
bitcs-10164	52	27	increasing	increase	VERB
bitcs-10164	52	28	the	the	DET
bitcs-10164	52	29	accuracy	accuracy	NOUN
bitcs-10164	52	30	of	of	ADP
bitcs-10164	52	31	disease	disease	NOUN
bitcs-10164	52	32	identification	identification	NOUN
bitcs-10164	52	33	and	and	CCONJ
bitcs-10164	52	34	classification	classification	NOUN
bitcs-10164	52	35	[	[	X
bitcs-10164	52	36	9	9	NUM
bitcs-10164	52	37	]	]	SYM
bitcs-10164	52	38	.	.	PUNCT
bitcs-10164	53	1	4	4	X
bitcs-10164	53	2	.	.	X
bitcs-10164	53	3	m	m	ADJ
bitcs-10164	53	4	-	-	PUNCT
bitcs-10164	53	5	svm	svm	ADJ
bitcs-10164	53	6	classification	classification	NOUN
bitcs-10164	53	7	classification	classification	NOUN
bitcs-10164	53	8	using	use	VERB
bitcs-10164	53	9	the	the	DET
bitcs-10164	53	10	multi	multi	ADJ
bitcs-10164	53	11	-	-	ADJ
bitcs-10164	53	12	class	class	ADJ
bitcs-10164	53	13	svm	svm	NOUN
bitcs-10164	53	14	(	(	PUNCT
bitcs-10164	53	15	msvm	msvm	NOUN
bitcs-10164	53	16	)	)	PUNCT
bitcs-10164	53	17	method	method	NOUN
bitcs-10164	53	18	is	be	AUX
bitcs-10164	53	19	divided	divide	VERB
bitcs-10164	53	20	into	into	ADP
bitcs-10164	53	21	two	two	NUM
bitcs-10164	53	22	stages	stage	NOUN
bitcs-10164	53	23	,	,	PUNCT
bitcs-10164	53	24	namely	namely	ADV
bitcs-10164	53	25	training	training	NOUN
bitcs-10164	53	26	and	and	CCONJ
bitcs-10164	53	27	testing	testing	NOUN
bitcs-10164	53	28	,	,	PUNCT
bitcs-10164	53	29	where	where	SCONJ
bitcs-10164	53	30	the	the	DET
bitcs-10164	53	31	image	image	NOUN
bitcs-10164	53	32	dataset	dataset	NOUN
bitcs-10164	53	33	goes	go	VERB
bitcs-10164	53	34	through	through	ADP
bitcs-10164	53	35	a	a	DET
bitcs-10164	53	36	feature	feature	NOUN
bitcs-10164	53	37	extraction	extraction	NOUN
bitcs-10164	53	38	process	process	NOUN
bitcs-10164	53	39	using	use	VERB
bitcs-10164	53	40	the	the	DET
bitcs-10164	53	41	glcm	glcm	PROPN
bitcs-10164	53	42	and	and	CCONJ
bitcs-10164	53	43	rgb	rgb	PROPN
bitcs-10164	53	44	methods	method	NOUN
bitcs-10164	53	45	.	.	PUNCT
bitcs-10164	54	1	glcm	glcm	PROPN
bitcs-10164	54	2	is	be	AUX
bitcs-10164	54	3	used	use	VERB
bitcs-10164	54	4	to	to	PART
bitcs-10164	54	5	extract	extract	VERB
bitcs-10164	54	6	texture	texture	ADJ
bitcs-10164	54	7	information	information	NOUN
bitcs-10164	54	8	,	,	PUNCT
bitcs-10164	54	9	such	such	ADJ
bitcs-10164	54	10	as	as	ADP
bitcs-10164	54	11	contrast	contrast	NOUN
bitcs-10164	54	12	and	and	CCONJ
bitcs-10164	54	13	correlation	correlation	NOUN
bitcs-10164	54	14	,	,	PUNCT
bitcs-10164	54	15	while	while	SCONJ
bitcs-10164	54	16	rgb	rgb	PROPN
bitcs-10164	54	17	is	be	AUX
bitcs-10164	54	18	used	use	VERB
bitcs-10164	54	19	to	to	PART
bitcs-10164	54	20	analyse	analyse	VERB
bitcs-10164	54	21	colour	colour	NOUN
bitcs-10164	54	22	characteristics	characteristic	NOUN
bitcs-10164	54	23	in	in	ADP
bitcs-10164	54	24	rice	rice	NOUN
bitcs-10164	54	25	leaf	leaf	NOUN
bitcs-10164	54	26	images	image	NOUN
bitcs-10164	54	27	.	.	PUNCT
bitcs-10164	55	1	furthermore	furthermore	ADV
bitcs-10164	55	2	,	,	PUNCT
bitcs-10164	55	3	the	the	DET
bitcs-10164	55	4	extracted	extract	VERB
bitcs-10164	55	5	images	image	NOUN
bitcs-10164	55	6	are	be	AUX
bitcs-10164	55	7	classified	classify	VERB
bitcs-10164	55	8	using	use	VERB
bitcs-10164	55	9	multi	multi	ADJ
bitcs-10164	55	10	-	-	ADJ
bitcs-10164	55	11	class	class	ADJ
bitcs-10164	55	12	svm	svm	NOUN
bitcs-10164	55	13	.	.	PROPN
bitcs-10164	55	14	through	through	ADP
bitcs-10164	55	15	this	this	DET
bitcs-10164	55	16	classification	classification	NOUN
bitcs-10164	55	17	process	process	NOUN
bitcs-10164	55	18	,	,	PUNCT
bitcs-10164	55	19	it	it	PRON
bitcs-10164	55	20	can	can	AUX
bitcs-10164	55	21	be	be	AUX
bitcs-10164	55	22	identified	identify	VERB
bitcs-10164	55	23	whether	whether	SCONJ
bitcs-10164	55	24	the	the	DET
bitcs-10164	55	25	input	input	NOUN
bitcs-10164	55	26	leaves	leave	NOUN
bitcs-10164	55	27	are	be	AUX
bitcs-10164	55	28	included	include	VERB
bitcs-10164	55	29	in	in	ADP
bitcs-10164	55	30	the	the	DET
bitcs-10164	55	31	category	category	NOUN
bitcs-10164	55	32	of	of	ADP
bitcs-10164	55	33	normal	normal	ADJ
bitcs-10164	55	34	leaves	leave	NOUN
bitcs-10164	55	35	or	or	CCONJ
bitcs-10164	55	36	diseased	diseased	ADJ
bitcs-10164	55	37	rice	rice	NOUN
bitcs-10164	55	38	leaves	leave	NOUN
bitcs-10164	55	39	,	,	PUNCT
bitcs-10164	55	40	and	and	CCONJ
bitcs-10164	55	41	can	can	AUX
bitcs-10164	55	42	be	be	AUX
bitcs-10164	55	43	separated	separate	VERB
bitcs-10164	55	44	based	base	VERB
bitcs-10164	55	45	on	on	ADP
bitcs-10164	55	46	their	their	PRON
bitcs-10164	55	47	respective	respective	ADJ
bitcs-10164	55	48	classes	class	NOUN
bitcs-10164	55	49	by	by	ADP
bitcs-10164	55	50	considering	consider	VERB
bitcs-10164	55	51	a	a	DET
bitcs-10164	55	52	combination	combination	NOUN
bitcs-10164	55	53	of	of	ADP
bitcs-10164	55	54	texture	texture	NOUN
bitcs-10164	55	55	and	and	CCONJ
bitcs-10164	55	56	colour	colour	NOUN
bitcs-10164	55	57	features	feature	NOUN
bitcs-10164	55	58	to	to	PART
bitcs-10164	55	59	improve	improve	VERB
bitcs-10164	55	60	identification	identification	NOUN
bitcs-10164	55	61	accuracy	accuracy	NOUN
bitcs-10164	56	1	[	[	X
bitcs-10164	56	2	10],[11],[12	10],[11],[12	NUM
bitcs-10164	56	3	]	]	PUNCT
bitcs-10164	56	4	.	.	PUNCT
bitcs-10164	57	1	5	5	NUM
bitcs-10164	57	2	.	.	NOUN
bitcs-10164	57	3	accuracy	accuracy	NOUN
bitcs-10164	57	4	evaluation	evaluation	NOUN
bitcs-10164	57	5	at	at	ADP
bitcs-10164	57	6	this	this	DET
bitcs-10164	57	7	stage	stage	NOUN
bitcs-10164	57	8	there	there	PRON
bitcs-10164	57	9	are	be	VERB
bitcs-10164	57	10	several	several	ADJ
bitcs-10164	57	11	steps	step	NOUN
bitcs-10164	57	12	taken	take	VERB
bitcs-10164	57	13	,	,	PUNCT
bitcs-10164	57	14	namely	namely	ADV
bitcs-10164	57	15	:	:	PUNCT
bitcs-10164	57	16	a.	a.	NOUN
bitcs-10164	57	17	confusion	confusion	NOUN
bitcs-10164	57	18	matrix	matrix	NOUN
bitcs-10164	57	19	use	use	VERB
bitcs-10164	57	20	a	a	DET
bitcs-10164	57	21	confusion	confusion	NOUN
bitcs-10164	57	22	matrix	matrix	NOUN
bitcs-10164	57	23	to	to	PART
bitcs-10164	57	24	see	see	VERB
bitcs-10164	57	25	how	how	SCONJ
bitcs-10164	57	26	well	well	ADV
bitcs-10164	57	27	the	the	DET
bitcs-10164	57	28	model	model	NOUN
bitcs-10164	57	29	classifies	classify	VERB
bitcs-10164	57	30	diseases	disease	NOUN
bitcs-10164	57	31	.	.	PUNCT
bitcs-10164	58	1	the	the	DET
bitcs-10164	58	2	confusion	confusion	NOUN
bitcs-10164	58	3	matrix	matrix	NOUN
bitcs-10164	58	4	will	will	AUX
bitcs-10164	58	5	show	show	VERB
bitcs-10164	58	6	the	the	DET
bitcs-10164	58	7	number	number	NOUN
bitcs-10164	58	8	of	of	ADP
bitcs-10164	58	9	correct	correct	ADJ
bitcs-10164	58	10	and	and	CCONJ
bitcs-10164	58	11	incorrect	incorrect	ADJ
bitcs-10164	58	12	predictions	prediction	NOUN
bitcs-10164	58	13	for	for	ADP
bitcs-10164	58	14	each	each	DET
bitcs-10164	58	15	disease	disease	NOUN
bitcs-10164	58	16	class	class	NOUN
bitcs-10164	58	17	(	(	PUNCT
bitcs-10164	58	18	e.g.	e.g.	ADV
bitcs-10164	58	19	,	,	PUNCT
bitcs-10164	58	20	leaf	leaf	NOUN
bitcs-10164	58	21	blight	blight	NOUN
bitcs-10164	58	22	,	,	PUNCT
bitcs-10164	58	23	leaf	leaf	NOUN
bitcs-10164	58	24	blast	blast	NOUN
bitcs-10164	58	25	,	,	PUNCT
bitcs-10164	58	26	and	and	CCONJ
bitcs-10164	58	27	tungro	tungro	VERB
bitcs-10164	58	28	)	)	PUNCT
bitcs-10164	58	29	that	that	PRON
bitcs-10164	58	30	exist	exist	VERB
bitcs-10164	58	31	[	[	X
bitcs-10164	58	32	9	9	NUM
bitcs-10164	58	33	]	]	PUNCT
bitcs-10164	58	34	,	,	PUNCT
bitcs-10164	58	35	[	[	X
bitcs-10164	58	36	13	13	NUM
bitcs-10164	58	37	]	]	PUNCT
bitcs-10164	58	38	,	,	PUNCT
bitcs-10164	58	39	[	[	X
bitcs-10164	58	40	14	14	NUM
bitcs-10164	58	41	]	]	PUNCT
bitcs-10164	58	42	.	.	PUNCT
bitcs-10164	59	1	b.	b.	PROPN
bitcs-10164	59	2	accuracy	accuracy	NOUN
bitcs-10164	59	3	accuracy	accuracy	NOUN
bitcs-10164	59	4	=	=	SYM
bitcs-10164	59	5	𝑇𝑃+𝑇𝑁	𝑇𝑃+𝑇𝑁	ADJ
bitcs-10164	59	6	𝑇𝑃+𝑇𝑁+𝐹𝑃+𝐹𝑁	𝑇𝑃+𝑇𝑁+𝐹𝑃+𝐹𝑁	NUM
bitcs-10164	59	7	×	×	NOUN
bitcs-10164	59	8	100	100	NUM
bitcs-10164	59	9	%	%	NOUN
bitcs-10164	59	10	(	(	PUNCT
bitcs-10164	59	11	1	1	NUM
bitcs-10164	59	12	)	)	PUNCT
bitcs-10164	59	13	vol.6	vol.6	PROPN
bitcs-10164	59	14	,	,	PUNCT
bitcs-10164	59	15	no.2	no.2	PROPN
bitcs-10164	59	16	,	,	PUNCT
bitcs-10164	59	17	july	july	PROPN
bitcs-10164	59	18	2025	2025	NUM
bitcs-10164	59	19	|	|	ADV
bitcs-10164	59	20	69	69	NUM
bitcs-10164	59	21	c.	c.	NOUN
bitcs-10164	59	22	precision	precision	NOUN
bitcs-10164	59	23	precision	precision	NOUN
bitcs-10164	59	24	=	=	SYM
bitcs-10164	59	25	𝑇𝑃	𝑇𝑃	PROPN
bitcs-10164	60	1	𝑇𝑃+𝐹𝑃	𝑇𝑃+𝐹𝑃	NOUN
bitcs-10164	60	2	×	×	NOUN
bitcs-10164	60	3	100	100	NUM
bitcs-10164	60	4	%	%	NOUN
bitcs-10164	60	5	(	(	PUNCT
bitcs-10164	60	6	2	2	NUM
bitcs-10164	60	7	)	)	PUNCT
bitcs-10164	60	8	d.	d.	NOUN
bitcs-10164	60	9	recall	recall	PROPN
bitcs-10164	60	10	recall	recall	PROPN
bitcs-10164	60	11	=	=	SYM
bitcs-10164	60	12	𝑇𝑃	𝑇𝑃	PROPN
bitcs-10164	60	13	𝑇𝑃+𝐹𝑁	𝑇𝑃+𝐹𝑁	NOUN
bitcs-10164	60	14	×	×	NOUN
bitcs-10164	60	15	100	100	NUM
bitcs-10164	60	16	%	%	NOUN
bitcs-10164	60	17	(	(	PUNCT
bitcs-10164	60	18	3	3	NUM
bitcs-10164	60	19	)	)	PUNCT
bitcs-10164	60	20	the	the	DET
bitcs-10164	60	21	research	research	NOUN
bitcs-10164	60	22	will	will	AUX
bitcs-10164	60	23	be	be	AUX
bitcs-10164	60	24	conducted	conduct	VERB
bitcs-10164	60	25	at	at	ADP
bitcs-10164	60	26	jl	jl	PROPN
bitcs-10164	60	27	.	.	PUNCT
bitcs-10164	61	1	sudimoro	sudimoro	PROPN
bitcs-10164	61	2	,	,	PUNCT
bitcs-10164	61	3	behind	behind	ADP
bitcs-10164	61	4	the	the	DET
bitcs-10164	61	5	sawah	sawah	NOUN
bitcs-10164	61	6	cafe	cafe	NOUN
bitcs-10164	61	7	,	,	PUNCT
bitcs-10164	61	8	and	and	CCONJ
bitcs-10164	61	9	is	be	AUX
bitcs-10164	61	10	targeted	target	VERB
bitcs-10164	61	11	to	to	PART
bitcs-10164	61	12	take	take	VERB
bitcs-10164	61	13	place	place	NOUN
bitcs-10164	61	14	from	from	ADP
bitcs-10164	61	15	november	november	PROPN
bitcs-10164	61	16	2024	2024	NUM
bitcs-10164	61	17	to	to	ADP
bitcs-10164	61	18	february	february	PROPN
bitcs-10164	61	19	2025	2025	NUM
bitcs-10164	61	20	.	.	PUNCT
bitcs-10164	62	1	this	this	DET
bitcs-10164	62	2	extended	extended	ADJ
bitcs-10164	62	3	period	period	NOUN
bitcs-10164	62	4	will	will	AUX
bitcs-10164	62	5	provide	provide	VERB
bitcs-10164	62	6	sufficient	sufficient	ADJ
bitcs-10164	62	7	time	time	NOUN
bitcs-10164	62	8	for	for	SCONJ
bitcs-10164	62	9	the	the	DET
bitcs-10164	62	10	researcher	researcher	NOUN
bitcs-10164	62	11	to	to	PART
bitcs-10164	62	12	make	make	VERB
bitcs-10164	62	13	necessary	necessary	ADJ
bitcs-10164	62	14	preparations	preparation	NOUN
bitcs-10164	62	15	,	,	PUNCT
bitcs-10164	62	16	such	such	ADJ
bitcs-10164	62	17	as	as	ADP
bitcs-10164	62	18	understanding	understand	VERB
bitcs-10164	62	19	the	the	DET
bitcs-10164	62	20	research	research	NOUN
bitcs-10164	62	21	problems	problem	NOUN
bitcs-10164	62	22	,	,	PUNCT
bitcs-10164	62	23	objectives	objective	NOUN
bitcs-10164	62	24	,	,	PUNCT
bitcs-10164	62	25	methods	method	NOUN
bitcs-10164	62	26	,	,	PUNCT
bitcs-10164	62	27	and	and	CCONJ
bitcs-10164	62	28	the	the	DET
bitcs-10164	62	29	tools	tool	NOUN
bitcs-10164	62	30	required	require	VERB
bitcs-10164	62	31	for	for	ADP
bitcs-10164	62	32	the	the	DET
bitcs-10164	62	33	research	research	NOUN
bitcs-10164	62	34	process	process	NOUN
bitcs-10164	62	35	[	[	X
bitcs-10164	62	36	15	15	NUM
bitcs-10164	62	37	]	]	SYM
bitcs-10164	62	38	.	.	PUNCT
bitcs-10164	63	1	iii	iii	X
bitcs-10164	63	2	.	.	PROPN
bitcs-10164	63	3	results	result	NOUN
bitcs-10164	63	4	and	and	CCONJ
bitcs-10164	63	5	discussions	discussion	NOUN
bitcs-10164	63	6	a.	a.	NOUN
bitcs-10164	63	7	feature	feature	NOUN
bitcs-10164	63	8	extraction	extraction	NOUN
bitcs-10164	63	9	using	use	VERB
bitcs-10164	63	10	gray	gray	ADJ
bitcs-10164	63	11	level	level	NOUN
bitcs-10164	63	12	co	co	NOUN
bitcs-10164	63	13	-	-	NOUN
bitcs-10164	63	14	occurrence	occurrence	ADJ
bitcs-10164	63	15	matrix	matrix	NOUN
bitcs-10164	63	16	(	(	PUNCT
bitcs-10164	63	17	glcm	glcm	PROPN
bitcs-10164	63	18	)	)	PUNCT
bitcs-10164	63	19	and	and	CCONJ
bitcs-10164	63	20	rgb	rgb	PROPN
bitcs-10164	63	21	feature	feature	NOUN
bitcs-10164	63	22	extraction	extraction	NOUN
bitcs-10164	63	23	using	use	VERB
bitcs-10164	63	24	the	the	DET
bitcs-10164	63	25	gray	gray	ADJ
bitcs-10164	63	26	level	level	NOUN
bitcs-10164	63	27	co	co	NOUN
bitcs-10164	63	28	-	-	NOUN
bitcs-10164	63	29	occurrence	occurrence	ADJ
bitcs-10164	63	30	matrix	matrix	NOUN
bitcs-10164	63	31	(	(	PUNCT
bitcs-10164	63	32	glcm	glcm	PROPN
bitcs-10164	63	33	)	)	PUNCT
bitcs-10164	63	34	method	method	NOUN
bitcs-10164	63	35	is	be	AUX
bitcs-10164	63	36	a	a	DET
bitcs-10164	63	37	technique	technique	NOUN
bitcs-10164	63	38	in	in	ADP
bitcs-10164	63	39	image	image	NOUN
bitcs-10164	63	40	processing	processing	NOUN
bitcs-10164	63	41	used	use	VERB
bitcs-10164	63	42	to	to	PART
bitcs-10164	63	43	obtain	obtain	VERB
bitcs-10164	63	44	texture	texture	ADJ
bitcs-10164	63	45	information	information	NOUN
bitcs-10164	63	46	from	from	ADP
bitcs-10164	63	47	images	image	NOUN
bitcs-10164	63	48	.	.	PUNCT
bitcs-10164	64	1	glcm	glcm	PROPN
bitcs-10164	64	2	analyzes	analyze	VERB
bitcs-10164	64	3	the	the	DET
bitcs-10164	64	4	spatial	spatial	ADJ
bitcs-10164	64	5	relationship	relationship	NOUN
bitcs-10164	64	6	between	between	ADP
bitcs-10164	64	7	pixels	pixel	NOUN
bitcs-10164	64	8	based	base	VERB
bitcs-10164	64	9	on	on	ADP
bitcs-10164	64	10	gray	gray	ADJ
bitcs-10164	64	11	levels	level	NOUN
bitcs-10164	64	12	to	to	PART
bitcs-10164	64	13	form	form	VERB
bitcs-10164	64	14	a	a	DET
bitcs-10164	64	15	co	co	NOUN
bitcs-10164	64	16	-	-	NOUN
bitcs-10164	64	17	occurrence	occurrence	ADJ
bitcs-10164	64	18	matrix	matrix	NOUN
bitcs-10164	64	19	,	,	PUNCT
bitcs-10164	64	20	from	from	ADP
bitcs-10164	64	21	which	which	DET
bitcs-10164	64	22	texture	texture	NOUN
bitcs-10164	64	23	features	feature	VERB
bitcs-10164	64	24	such	such	ADJ
bitcs-10164	64	25	as	as	ADP
bitcs-10164	64	26	contrast	contrast	NOUN
bitcs-10164	64	27	,	,	PUNCT
bitcs-10164	64	28	correlation	correlation	NOUN
bitcs-10164	64	29	can	can	AUX
bitcs-10164	64	30	be	be	AUX
bitcs-10164	64	31	calculated	calculate	VERB
bitcs-10164	64	32	.	.	PUNCT
bitcs-10164	65	1	at	at	ADP
bitcs-10164	65	2	this	this	DET
bitcs-10164	65	3	stage	stage	NOUN
bitcs-10164	65	4	,	,	PUNCT
bitcs-10164	65	5	the	the	DET
bitcs-10164	65	6	method	method	NOUN
bitcs-10164	65	7	is	be	AUX
bitcs-10164	65	8	used	use	VERB
bitcs-10164	65	9	to	to	PART
bitcs-10164	65	10	detect	detect	VERB
bitcs-10164	65	11	rice	rice	NOUN
bitcs-10164	65	12	leaf	leaf	NOUN
bitcs-10164	65	13	images	image	NOUN
bitcs-10164	65	14	.	.	PUNCT
bitcs-10164	66	1	in	in	ADP
bitcs-10164	66	2	addition	addition	NOUN
bitcs-10164	66	3	,	,	PUNCT
bitcs-10164	66	4	the	the	DET
bitcs-10164	66	5	basic	basic	ADJ
bitcs-10164	66	6	color	color	NOUN
bitcs-10164	66	7	values	value	NOUN
bitcs-10164	66	8	of	of	ADP
bitcs-10164	66	9	the	the	DET
bitcs-10164	66	10	image	image	NOUN
bitcs-10164	66	11	are	be	AUX
bitcs-10164	66	12	also	also	ADV
bitcs-10164	66	13	used	use	VERB
bitcs-10164	66	14	by	by	ADP
bitcs-10164	66	15	taking	take	VERB
bitcs-10164	66	16	rgb	rgb	PROPN
bitcs-10164	66	17	(	(	PUNCT
bitcs-10164	66	18	red	red	ADJ
bitcs-10164	66	19	,	,	PUNCT
bitcs-10164	66	20	green	green	ADJ
bitcs-10164	66	21	,	,	PUNCT
bitcs-10164	66	22	blue	blue	ADJ
bitcs-10164	66	23	)	)	PUNCT
bitcs-10164	66	24	values	value	NOUN
bitcs-10164	66	25	directly	directly	ADV
bitcs-10164	66	26	from	from	ADP
bitcs-10164	66	27	each	each	DET
bitcs-10164	66	28	pixel	pixel	NOUN
bitcs-10164	66	29	as	as	ADP
bitcs-10164	66	30	additional	additional	ADJ
bitcs-10164	66	31	features	feature	NOUN
bitcs-10164	66	32	that	that	PRON
bitcs-10164	66	33	represent	represent	VERB
bitcs-10164	66	34	image	image	NOUN
bitcs-10164	66	35	color	color	NOUN
bitcs-10164	66	36	information	information	NOUN
bitcs-10164	66	37	.	.	PUNCT
bitcs-10164	67	1	figure	figure	VERB
bitcs-10164	67	2	3	3	NUM
bitcs-10164	67	3	.	.	NOUN
bitcs-10164	67	4	blast	blast	NOUN
bitcs-10164	67	5	image	image	NOUN
bitcs-10164	67	6	capture	capture	NOUN
bitcs-10164	67	7	interface	interface	NOUN
bitcs-10164	67	8	design	design	NOUN
bitcs-10164	67	9	in	in	ADP
bitcs-10164	67	10	(	(	PUNCT
bitcs-10164	67	11	figure	figure	NOUN
bitcs-10164	67	12	3	3	NUM
bitcs-10164	67	13	.	.	PUNCT
bitcs-10164	67	14	)	)	PUNCT
bitcs-10164	67	15	to	to	PART
bitcs-10164	67	16	convert	convert	VERB
bitcs-10164	67	17	data	datum	NOUN
bitcs-10164	67	18	from	from	ADP
bitcs-10164	67	19	image	image	NOUN
bitcs-10164	67	20	form	form	NOUN
bitcs-10164	67	21	into	into	ADP
bitcs-10164	67	22	numeric	numeric	ADJ
bitcs-10164	67	23	form	form	NOUN
bitcs-10164	67	24	,	,	PUNCT
bitcs-10164	67	25	a	a	DET
bitcs-10164	67	26	data	data	NOUN
bitcs-10164	67	27	conversion	conversion	NOUN
bitcs-10164	67	28	process	process	NOUN
bitcs-10164	67	29	design	design	NOUN
bitcs-10164	67	30	is	be	AUX
bitcs-10164	67	31	needed	need	VERB
bitcs-10164	67	32	that	that	PRON
bitcs-10164	67	33	utilizes	utilize	VERB
bitcs-10164	67	34	a	a	DET
bitcs-10164	67	35	graphical	graphical	ADJ
bitcs-10164	67	36	interface	interface	NOUN
bitcs-10164	67	37	(	(	PUNCT
bitcs-10164	67	38	gui	gui	NOUN
bitcs-10164	67	39	)	)	PUNCT
bitcs-10164	67	40	using	use	VERB
bitcs-10164	67	41	the	the	DET
bitcs-10164	67	42	matlab	matlab	PROPN
bitcs-10164	67	43	programming	programming	NOUN
bitcs-10164	67	44	language	language	NOUN
bitcs-10164	67	45	.	.	PUNCT
bitcs-10164	68	1	this	this	DET
bitcs-10164	68	2	process	process	NOUN
bitcs-10164	68	3	is	be	AUX
bitcs-10164	68	4	important	important	ADJ
bitcs-10164	68	5	for	for	ADP
bitcs-10164	68	6	the	the	DET
bitcs-10164	68	7	purposes	purpose	NOUN
bitcs-10164	68	8	of	of	ADP
bitcs-10164	68	9	texture	texture	ADJ
bitcs-10164	68	10	analysis	analysis	NOUN
bitcs-10164	68	11	with	with	ADP
bitcs-10164	68	12	the	the	DET
bitcs-10164	68	13	m	m	NOUN
bitcs-10164	68	14	-	-	ADJ
bitcs-10164	68	15	svm	svm	ADJ
bitcs-10164	68	16	method	method	NOUN
bitcs-10164	68	17	.	.	PUNCT
bitcs-10164	69	1	the	the	DET
bitcs-10164	69	2	blast	blast	NOUN
bitcs-10164	69	3	,	,	PUNCT
bitcs-10164	69	4	kresek	kresek	NOUN
bitcs-10164	69	5	and	and	CCONJ
bitcs-10164	69	6	tungro	tungro	VERB
bitcs-10164	69	7	data	datum	NOUN
bitcs-10164	69	8	values	value	NOUN
bitcs-10164	69	9	obtained	obtain	VERB
bitcs-10164	69	10	from	from	ADP
bitcs-10164	69	11	the	the	DET
bitcs-10164	69	12	feature	feature	NOUN
bitcs-10164	69	13	extraction	extraction	NOUN
bitcs-10164	69	14	results	result	NOUN
bitcs-10164	69	15	consist	consist	VERB
bitcs-10164	69	16	of	of	ADP
bitcs-10164	69	17	several	several	ADJ
bitcs-10164	69	18	fields	field	NOUN
bitcs-10164	69	19	that	that	PRON
bitcs-10164	69	20	can	can	AUX
bitcs-10164	69	21	be	be	AUX
bitcs-10164	69	22	displayed	display	VERB
bitcs-10164	69	23	in	in	ADP
bitcs-10164	69	24	(	(	PUNCT
bitcs-10164	69	25	table	table	NOUN
bitcs-10164	69	26	1	1	NUM
bitcs-10164	69	27	)	)	PUNCT
bitcs-10164	69	28	.	.	PUNCT
bitcs-10164	70	1	tabel	tabel	NOUN
bitcs-10164	70	2	1	1	NUM
bitcs-10164	70	3	.	.	PUNCT
bitcs-10164	70	4	blast	blast	NOUN
bitcs-10164	70	5	,	,	PUNCT
bitcs-10164	70	6	kresek	kresek	NOUN
bitcs-10164	70	7	and	and	CCONJ
bitcs-10164	70	8	tungro	tungro	VERB
bitcs-10164	70	9	image	image	NOUN
bitcs-10164	70	10	datasets	dataset	NOUN
bitcs-10164	70	11	project_id	project_id	PART
bitcs-10164	70	12	contrast	contrast	NOUN
bitcs-10164	70	13	correlation	correlation	NOUN
bitcs-10164	70	14	red	red	ADJ
bitcs-10164	70	15	greend	greend	NOUN
bitcs-10164	70	16	blue	blue	ADJ
bitcs-10164	70	17	results	result	NOUN
bitcs-10164	70	18	blast111.jpg	blast111.jpg	NOUN
bitcs-10164	70	19	0.091126	0.091126	NUM
bitcs-10164	70	20	0.96395	0.96395	NUM
bitcs-10164	70	21	0.7276	0.7276	NUM
bitcs-10164	70	22	0.74142	0.74142	NUM
bitcs-10164	70	23	0.75599	0.75599	NUM
bitcs-10164	70	24	blast	blast	NOUN
bitcs-10164	70	25	blast144.jpg	blast144.jpg	NOUN
bitcs-10164	70	26	0.09572	0.09572	NUM
bitcs-10164	71	1	0.95864	0.95864	NUM
bitcs-10164	71	2	0.74756	0.74756	NUM
bitcs-10164	71	3	0.72766	0.72766	NUM
bitcs-10164	71	4	0.69713	0.69713	NUM
bitcs-10164	71	5	blast	blast	NOUN
bitcs-10164	71	6	vol.6	vol.6	PROPN
bitcs-10164	71	7	,	,	PUNCT
bitcs-10164	71	8	no.2	no.2	PROPN
bitcs-10164	71	9	,	,	PUNCT
bitcs-10164	71	10	july	july	PROPN
bitcs-10164	71	11	2025	2025	NUM
bitcs-10164	71	12	|	|	ADV
bitcs-10164	71	13	70	70	NUM
bitcs-10164	71	14	kresek11.jpg	kresek11.jpg	NOUN
bitcs-10164	71	15	0.15015	0.15015	NUM
bitcs-10164	71	16	0.93488	0.93488	NUM
bitcs-10164	71	17	0.56585	0.56585	NUM
bitcs-10164	71	18	0.62566	0.62566	NUM
bitcs-10164	71	19	0.76428	0.76428	NUM
bitcs-10164	71	20	plastic	plastic	ADJ
bitcs-10164	71	21	bag	bag	NOUN
bitcs-10164	71	22	kresek109.jpg	kresek109.jpg	NOUN
bitcs-10164	71	23	0.1193	0.1193	NUM
bitcs-10164	71	24	0.95152	0.95152	NUM
bitcs-10164	71	25	0.74032	0.74032	NUM
bitcs-10164	71	26	0.72572	0.72572	NUM
bitcs-10164	71	27	0.71702	0.71702	NUM
bitcs-10164	71	28	plastic	plastic	ADJ
bitcs-10164	71	29	bag	bag	NOUN
bitcs-10164	71	30	tungro1.jpg	tungro1.jpg	X
bitcs-10164	71	31	0.073608	0.073608	NUM
bitcs-10164	71	32	0.96713	0.96713	NUM
bitcs-10164	71	33	0.7847	0.7847	NUM
bitcs-10164	71	34	0.72117	0.72117	NUM
bitcs-10164	71	35	0.66278	0.66278	NUM
bitcs-10164	71	36	tungro	tungro	NOUN
bitcs-10164	71	37	tungro100.jpg	tungro100.jpg	NOUN
bitcs-10164	71	38	0.053928	0.053928	NUM
bitcs-10164	71	39	0.97586	0.97586	NUM
bitcs-10164	71	40	0.79111	0.79111	NUM
bitcs-10164	71	41	0.73136	0.73136	NUM
bitcs-10164	71	42	0.65979	0.65979	NUM
bitcs-10164	71	43	tungro	tungro	NOUN
bitcs-10164	71	44	b.	b.	PROPN
bitcs-10164	71	45	training	training	PROPN
bitcs-10164	71	46	data	data	PROPN
bitcs-10164	71	47	multiclass	multiclass	ADJ
bitcs-10164	71	48	support	support	NOUN
bitcs-10164	71	49	vector	vector	NOUN
bitcs-10164	71	50	machine	machine	NOUN
bitcs-10164	71	51	(	(	PUNCT
bitcs-10164	71	52	m	m	NOUN
bitcs-10164	71	53	-	-	PUNCT
bitcs-10164	71	54	svm	svm	ADJ
bitcs-10164	71	55	)	)	PUNCT
bitcs-10164	71	56	method	method	NOUN
bitcs-10164	71	57	table	table	NOUN
bitcs-10164	71	58	2	2	NUM
bitcs-10164	71	59	.	.	PUNCT
bitcs-10164	71	60	results	result	NOUN
bitcs-10164	71	61	of	of	ADP
bitcs-10164	71	62	polynomial	polynomial	ADJ
bitcs-10164	71	63	m	m	ADJ
bitcs-10164	71	64	-	-	ADJ
bitcs-10164	71	65	svm	svm	ADJ
bitcs-10164	71	66	training	training	NOUN
bitcs-10164	71	67	evaluation	evaluation	NOUN
bitcs-10164	71	68	m	m	NOUN
bitcs-10164	71	69	-	-	ADJ
bitcs-10164	71	70	svm(polynomial	svm(polynomial	ADJ
bitcs-10164	71	71	)	)	PUNCT
bitcs-10164	71	72	split	split	NOUN
bitcs-10164	71	73	ratio	ratio	NOUN
bitcs-10164	71	74	accuracy	accuracy	NOUN
bitcs-10164	71	75	precision	precision	NOUN
bitcs-10164	71	76	recall	recall	PROPN
bitcs-10164	71	77	data	data	PROPN
bitcs-10164	71	78	training	training	NOUN
bitcs-10164	71	79	testing	testing	NOUN
bitcs-10164	71	80	train	train	NOUN
bitcs-10164	71	81	test	test	NOUN
bitcs-10164	71	82	10	10	NUM
bitcs-10164	71	83	%	%	NOUN
bitcs-10164	71	84	90	90	NUM
bitcs-10164	71	85	%	%	NOUN
bitcs-10164	71	86	88	88	NUM
bitcs-10164	71	87	%	%	NOUN
bitcs-10164	71	88	83.3751	83.3751	NUM
bitcs-10164	71	89	%	%	NOUN
bitcs-10164	71	90	83.3333	83.3333	NUM
bitcs-10164	71	91	%	%	NOUN
bitcs-10164	71	92	120	120	NUM
bitcs-10164	71	93	1080	1080	NUM
bitcs-10164	71	94	20	20	NUM
bitcs-10164	71	95	%	%	NOUN
bitcs-10164	71	96	80	80	NUM
bitcs-10164	71	97	%	%	NOUN
bitcs-10164	71	98	89.7222	89.7222	NUM
bitcs-10164	71	99	%	%	NOUN
bitcs-10164	71	100	84.5861	84.5861	NUM
bitcs-10164	71	101	%	%	NOUN
bitcs-10164	71	102	84.5833	84.5833	NUM
bitcs-10164	71	103	%	%	NOUN
bitcs-10164	71	104	240	240	NUM
bitcs-10164	71	105	960	960	NUM
bitcs-10164	71	106	30	30	NUM
bitcs-10164	71	107	%	%	NOUN
bitcs-10164	71	108	70	70	NUM
bitcs-10164	71	109	%	%	NOUN
bitcs-10164	71	110	85.1852	85.1852	NUM
bitcs-10164	71	111	%	%	NOUN
bitcs-10164	71	112	78.8981	78.8981	NUM
bitcs-10164	71	113	%	%	NOUN
bitcs-10164	71	114	77.7778	77.7778	NUM
bitcs-10164	71	115	%	%	NOUN
bitcs-10164	71	116	360	360	NUM
bitcs-10164	71	117	840	840	NUM
bitcs-10164	71	118	40	40	NUM
bitcs-10164	71	119	%	%	NOUN
bitcs-10164	71	120	60	60	NUM
bitcs-10164	71	121	%	%	NOUN
bitcs-10164	71	122	85.5556	85.5556	NUM
bitcs-10164	71	123	%	%	NOUN
bitcs-10164	71	124	78.7160	78.7160	NUM
bitcs-10164	71	125	%	%	NOUN
bitcs-10164	71	126	78.3333	78.3333	NUM
bitcs-10164	71	127	%	%	NOUN
bitcs-10164	71	128	480	480	NUM
bitcs-10164	71	129	720	720	NUM
bitcs-10164	71	130	50	50	NUM
bitcs-10164	71	131	%	%	NOUN
bitcs-10164	71	132	50	50	NUM
bitcs-10164	71	133	%	%	NOUN
bitcs-10164	71	134	85.7778	85.7778	NUM
bitcs-10164	71	135	%	%	NOUN
bitcs-10164	71	136	78.5025	78.5025	NUM
bitcs-10164	71	137	%	%	NOUN
bitcs-10164	71	138	78.6667	78.6667	NUM
bitcs-10164	71	139	%	%	NOUN
bitcs-10164	71	140	600	600	NUM
bitcs-10164	71	141	600	600	NUM
bitcs-10164	71	142	60	60	NUM
bitcs-10164	71	143	%	%	NOUN
bitcs-10164	71	144	40	40	NUM
bitcs-10164	71	145	%	%	NOUN
bitcs-10164	71	146	85.2778	85.2778	NUM
bitcs-10164	71	147	%	%	NOUN
bitcs-10164	71	148	77.8825	77.8825	NUM
bitcs-10164	71	149	%	%	NOUN
bitcs-10164	71	150	77.9167	77.9167	NUM
bitcs-10164	71	151	%	%	NOUN
bitcs-10164	71	152	720	720	NUM
bitcs-10164	71	153	480	480	NUM
bitcs-10164	71	154	70	70	NUM
bitcs-10164	71	155	%	%	NOUN
bitcs-10164	71	156	30	30	NUM
bitcs-10164	71	157	%	%	NOUN
bitcs-10164	71	158	85.2381	85.2381	NUM
bitcs-10164	71	159	%	%	NOUN
bitcs-10164	71	160	79.2707	79.2707	NUM
bitcs-10164	71	161	%	%	NOUN
bitcs-10164	71	162	77.8571	77.8571	NUM
bitcs-10164	71	163	%	%	NOUN
bitcs-10164	71	164	840	840	NUM
bitcs-10164	71	165	360	360	NUM
bitcs-10164	71	166	80	80	NUM
bitcs-10164	71	167	%	%	NOUN
bitcs-10164	71	168	20	20	NUM
bitcs-10164	71	169	%	%	NOUN
bitcs-10164	71	170	84.5833	84.5833	NUM
bitcs-10164	71	171	%	%	NOUN
bitcs-10164	71	172	77.1485	77.1485	NUM
bitcs-10164	71	173	%	%	NOUN
bitcs-10164	71	174	76.8750	76.8750	NUM
bitcs-10164	71	175	%	%	NOUN
bitcs-10164	71	176	960	960	NUM
bitcs-10164	71	177	240	240	NUM
bitcs-10164	71	178	90	90	NUM
bitcs-10164	71	179	%	%	NOUN
bitcs-10164	71	180	10	10	NUM
bitcs-10164	71	181	%	%	NOUN
bitcs-10164	71	182	85.1852	85.1852	NUM
bitcs-10164	71	183	%	%	NOUN
bitcs-10164	71	184	77.9073	77.9073	NUM
bitcs-10164	71	185	%	%	NOUN
bitcs-10164	71	186	77.7778	77.7778	NUM
bitcs-10164	71	187	%	%	NOUN
bitcs-10164	71	188	1080	1080	NUM
bitcs-10164	71	189	120	120	NUM
bitcs-10164	71	190	in	in	ADP
bitcs-10164	71	191	(	(	PUNCT
bitcs-10164	71	192	table	table	NOUN
bitcs-10164	71	193	2	2	NUM
bitcs-10164	71	194	)	)	PUNCT
bitcs-10164	71	195	it	it	PRON
bitcs-10164	71	196	is	be	AUX
bitcs-10164	71	197	explained	explain	VERB
bitcs-10164	71	198	that	that	SCONJ
bitcs-10164	71	199	the	the	DET
bitcs-10164	71	200	results	result	NOUN
bitcs-10164	71	201	of	of	ADP
bitcs-10164	71	202	the	the	DET
bitcs-10164	71	203	training	training	NOUN
bitcs-10164	71	204	data	data	NOUN
bitcs-10164	71	205	evaluation	evaluation	NOUN
bitcs-10164	71	206	using	use	VERB
bitcs-10164	71	207	the	the	DET
bitcs-10164	71	208	m	m	ADJ
bitcs-10164	71	209	-	-	ADJ
bitcs-10164	71	210	svm	svm	ADJ
bitcs-10164	71	211	polynomial	polynomial	ADJ
bitcs-10164	71	212	method	method	NOUN
bitcs-10164	71	213	obtained	obtain	VERB
bitcs-10164	71	214	a	a	DET
bitcs-10164	71	215	high	high	ADJ
bitcs-10164	71	216	accuracy	accuracy	NOUN
bitcs-10164	71	217	score	score	NOUN
bitcs-10164	71	218	,	,	PUNCT
bitcs-10164	71	219	namely	namely	ADV
bitcs-10164	71	220	at	at	ADP
bitcs-10164	71	221	a	a	DET
bitcs-10164	71	222	split	split	ADJ
bitcs-10164	71	223	ratio	ratio	NOUN
bitcs-10164	71	224	of	of	ADP
bitcs-10164	71	225	20:80	20:80	NUM
bitcs-10164	71	226	,	,	PUNCT
bitcs-10164	71	227	the	the	DET
bitcs-10164	71	228	number	number	NOUN
bitcs-10164	71	229	of	of	ADP
bitcs-10164	71	230	training	training	NOUN
bitcs-10164	71	231	data	datum	NOUN
bitcs-10164	71	232	is	be	AUX
bitcs-10164	71	233	240	240	NUM
bitcs-10164	71	234	with	with	ADP
bitcs-10164	71	235	an	an	DET
bitcs-10164	71	236	accuracy	accuracy	NOUN
bitcs-10164	71	237	score	score	NOUN
bitcs-10164	71	238	of	of	ADP
bitcs-10164	71	239	89.7222	89.7222	NUM
bitcs-10164	71	240	%	%	NOUN
bitcs-10164	71	241	.	.	PUNCT
bitcs-10164	72	1	precision	precision	NOUN
bitcs-10164	72	2	84.5861	84.5861	NUM
bitcs-10164	72	3	%	%	NOUN
bitcs-10164	72	4	and	and	CCONJ
bitcs-10164	72	5	recall	recall	NOUN
bitcs-10164	72	6	84.5833	84.5833	NUM
bitcs-10164	72	7	.	.	PUNCT
bitcs-10164	73	1	and	and	CCONJ
bitcs-10164	73	2	the	the	DET
bitcs-10164	73	3	results	result	NOUN
bitcs-10164	73	4	of	of	ADP
bitcs-10164	73	5	the	the	DET
bitcs-10164	73	6	m	m	ADJ
bitcs-10164	73	7	-	-	ADJ
bitcs-10164	73	8	svm	svm	ADJ
bitcs-10164	73	9	polynomial	polynomial	ADJ
bitcs-10164	73	10	graph	graph	NOUN
bitcs-10164	73	11	and	and	CCONJ
bitcs-10164	73	12	the	the	DET
bitcs-10164	73	13	calculation	calculation	NOUN
bitcs-10164	73	14	of	of	ADP
bitcs-10164	73	15	the	the	DET
bitcs-10164	73	16	confusion	confusion	NOUN
bitcs-10164	73	17	matrix	matrix	NOUN
bitcs-10164	73	18	with	with	ADP
bitcs-10164	73	19	the	the	DET
bitcs-10164	73	20	highest	high	ADJ
bitcs-10164	73	21	value	value	NOUN
bitcs-10164	73	22	at	at	ADP
bitcs-10164	73	23	a	a	DET
bitcs-10164	73	24	split	split	ADJ
bitcs-10164	73	25	ratio	ratio	NOUN
bitcs-10164	73	26	of	of	ADP
bitcs-10164	73	27	20:80	20:80	NUM
bitcs-10164	73	28	,	,	PUNCT
bitcs-10164	73	29	can	can	AUX
bitcs-10164	73	30	be	be	AUX
bitcs-10164	73	31	seen	see	VERB
bitcs-10164	73	32	in	in	ADP
bitcs-10164	73	33	(	(	PUNCT
bitcs-10164	73	34	figure	figure	NOUN
bitcs-10164	73	35	4	4	NUM
bitcs-10164	73	36	)	)	PUNCT
bitcs-10164	73	37	and	and	CCONJ
bitcs-10164	73	38	(	(	PUNCT
bitcs-10164	73	39	figure	figure	NOUN
bitcs-10164	73	40	5	5	NUM
bitcs-10164	73	41	)	)	PUNCT
bitcs-10164	73	42	below	below	ADV
bitcs-10164	73	43	.	.	PUNCT
bitcs-10164	74	1	figure	figure	VERB
bitcs-10164	74	2	4	4	NUM
bitcs-10164	74	3	.	.	PUNCT
bitcs-10164	75	1	m	m	ADJ
bitcs-10164	75	2	-	-	PUNCT
bitcs-10164	75	3	svm	svm	ADJ
bitcs-10164	75	4	polynomial	polynomial	ADJ
bitcs-10164	75	5	20:80	20:80	NUM
bitcs-10164	75	6	graph	graph	NOUN
bitcs-10164	75	7	figure	figure	NOUN
bitcs-10164	75	8	5	5	NUM
bitcs-10164	75	9	.	.	NOUN
bitcs-10164	75	10	cm	cm	PROPN
bitcs-10164	75	11	m	m	NOUN
bitcs-10164	75	12	-	-	PUNCT
bitcs-10164	75	13	svm	svm	ADJ
bitcs-10164	75	14	polynomial	polynomial	ADJ
bitcs-10164	75	15	20:80	20:80	NUM
bitcs-10164	75	16	vol.6	vol.6	PROPN
bitcs-10164	75	17	,	,	PUNCT
bitcs-10164	75	18	no.2	no.2	PROPN
bitcs-10164	75	19	,	,	PUNCT
bitcs-10164	75	20	july	july	PROPN
bitcs-10164	75	21	2025	2025	NUM
bitcs-10164	76	1	|	|	ADV
bitcs-10164	76	2	71	71	NUM
bitcs-10164	76	3	table	table	NOUN
bitcs-10164	76	4	3	3	NUM
bitcs-10164	76	5	.	.	PUNCT
bitcs-10164	77	1	linear	linear	PROPN
bitcs-10164	77	2	m	m	ADJ
bitcs-10164	77	3	-	-	ADJ
bitcs-10164	77	4	svm	svm	ADJ
bitcs-10164	77	5	training	training	NOUN
bitcs-10164	77	6	evaluation	evaluation	NOUN
bitcs-10164	77	7	results	result	VERB
bitcs-10164	77	8	m	m	NOUN
bitcs-10164	77	9	-	-	PUNCT
bitcs-10164	77	10	svm(linear	svm(linear	NOUN
bitcs-10164	77	11	)	)	PUNCT
bitcs-10164	77	12	split	split	NOUN
bitcs-10164	77	13	ratio	ratio	NOUN
bitcs-10164	77	14	accuracy	accuracy	NOUN
bitcs-10164	77	15	precision	precision	NOUN
bitcs-10164	77	16	recall	recall	PROPN
bitcs-10164	77	17	data	data	PROPN
bitcs-10164	77	18	training	training	NOUN
bitcs-10164	77	19	testing	testing	NOUN
bitcs-10164	77	20	train	train	NOUN
bitcs-10164	77	21	test	test	NOUN
bitcs-10164	77	22	10	10	NUM
bitcs-10164	77	23	%	%	NOUN
bitcs-10164	77	24	90	90	NUM
bitcs-10164	77	25	%	%	NOUN
bitcs-10164	77	26	87.2222	87.2222	NUM
bitcs-10164	77	27	%	%	NOUN
bitcs-10164	77	28	81.2963	81.2963	NUM
bitcs-10164	77	29	%	%	NOUN
bitcs-10164	77	30	80.8333	80.8333	NUM
bitcs-10164	77	31	%	%	NOUN
bitcs-10164	77	32	120	120	NUM
bitcs-10164	77	33	1080	1080	NUM
bitcs-10164	77	34	20	20	NUM
bitcs-10164	77	35	%	%	NOUN
bitcs-10164	77	36	80	80	NUM
bitcs-10164	77	37	%	%	NOUN
bitcs-10164	77	38	89.4444	89.4444	NUM
bitcs-10164	77	39	%	%	NOUN
bitcs-10164	77	40	84.1667	84.1667	NUM
bitcs-10164	77	41	%	%	NOUN
bitcs-10164	77	42	84.1667	84.1667	NUM
bitcs-10164	77	43	%	%	NOUN
bitcs-10164	77	44	240	240	NUM
bitcs-10164	77	45	960	960	NUM
bitcs-10164	77	46	30	30	NUM
bitcs-10164	77	47	%	%	NOUN
bitcs-10164	77	48	70	70	NUM
bitcs-10164	77	49	%	%	NOUN
bitcs-10164	77	50	84.8148	84.8148	NUM
bitcs-10164	77	51	%	%	NOUN
bitcs-10164	77	52	77.3130	77.3130	NUM
bitcs-10164	77	53	%	%	NOUN
bitcs-10164	77	54	77.2222	77.2222	NUM
bitcs-10164	77	55	%	%	NOUN
bitcs-10164	77	56	360	360	NUM
bitcs-10164	77	57	840	840	NUM
bitcs-10164	77	58	40	40	NUM
bitcs-10164	77	59	%	%	NOUN
bitcs-10164	77	60	60	60	NUM
bitcs-10164	77	61	%	%	NOUN
bitcs-10164	77	62	86.2500	86.2500	NUM
bitcs-10164	77	63	%	%	NOUN
bitcs-10164	77	64	79.5291	79.5291	NUM
bitcs-10164	77	65	%	%	NOUN
bitcs-10164	77	66	79.3750	79.3750	NUM
bitcs-10164	77	67	%	%	NOUN
bitcs-10164	77	68	480	480	NUM
bitcs-10164	77	69	720	720	NUM
bitcs-10164	77	70	50	50	NUM
bitcs-10164	77	71	%	%	NOUN
bitcs-10164	77	72	50	50	NUM
bitcs-10164	77	73	%	%	NOUN
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bitcs-10164	77	75	%	%	NOUN
bitcs-10164	77	76	76.7066	76.7066	NUM
bitcs-10164	77	77	%	%	NOUN
bitcs-10164	77	78	76.6667	76.6667	NUM
bitcs-10164	77	79	%	%	NOUN
bitcs-10164	77	80	600	600	NUM
bitcs-10164	77	81	600	600	NUM
bitcs-10164	77	82	60	60	NUM
bitcs-10164	77	83	%	%	NOUN
bitcs-10164	77	84	40	40	NUM
bitcs-10164	77	85	%	%	NOUN
bitcs-10164	77	86	84.9074	84.9074	NUM
bitcs-10164	77	87	%	%	NOUN
bitcs-10164	77	88	77.2398	77.2398	NUM
bitcs-10164	77	89	%	%	NOUN
bitcs-10164	77	90	77.3611	77.3611	NUM
bitcs-10164	77	91	%	%	NOUN
bitcs-10164	77	92	720	720	NUM
bitcs-10164	77	93	480	480	NUM
bitcs-10164	77	94	70	70	NUM
bitcs-10164	77	95	%	%	NOUN
bitcs-10164	77	96	30	30	NUM
bitcs-10164	77	97	%	%	NOUN
bitcs-10164	77	98	84.2063	84.2063	NUM
bitcs-10164	77	99	%	%	NOUN
bitcs-10164	77	100	76.4328	76.4328	NUM
bitcs-10164	77	101	%	%	NOUN
bitcs-10164	77	102	76.3095	76.3095	NUM
bitcs-10164	77	103	%	%	NOUN
bitcs-10164	77	104	840	840	NUM
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bitcs-10164	77	106	80	80	NUM
bitcs-10164	77	107	%	%	NOUN
bitcs-10164	77	108	20	20	NUM
bitcs-10164	77	109	%	%	NOUN
bitcs-10164	77	110	84.5833	84.5833	NUM
bitcs-10164	77	111	%	%	NOUN
bitcs-10164	77	112	76.7444	76.7444	NUM
bitcs-10164	77	113	%	%	NOUN
bitcs-10164	77	114	76.8750	76.8750	NUM
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bitcs-10164	77	116	960	960	NUM
bitcs-10164	77	117	240	240	NUM
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bitcs-10164	77	119	%	%	NOUN
bitcs-10164	77	120	10	10	NUM
bitcs-10164	77	121	%	%	NOUN
bitcs-10164	77	122	84.3827	84.3827	NUM
bitcs-10164	77	123	%	%	NOUN
bitcs-10164	77	124	76.7453	76.7453	NUM
bitcs-10164	77	125	%	%	NOUN
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bitcs-10164	77	127	%	%	NOUN
bitcs-10164	77	128	1080	1080	NUM
bitcs-10164	77	129	120	120	NUM
bitcs-10164	77	130	in	in	ADP
bitcs-10164	77	131	(	(	PUNCT
bitcs-10164	77	132	table	table	NOUN
bitcs-10164	77	133	3	3	NUM
bitcs-10164	77	134	)	)	PUNCT
bitcs-10164	77	135	,	,	PUNCT
bitcs-10164	77	136	it	it	PRON
bitcs-10164	77	137	can	can	AUX
bitcs-10164	77	138	be	be	AUX
bitcs-10164	77	139	seen	see	VERB
bitcs-10164	77	140	that	that	SCONJ
bitcs-10164	77	141	the	the	DET
bitcs-10164	77	142	m	m	NOUN
bitcs-10164	77	143	-	-	PUNCT
bitcs-10164	77	144	svm	svm	ADJ
bitcs-10164	77	145	linear	linear	PROPN
bitcs-10164	77	146	method	method	NOUN
bitcs-10164	77	147	shows	show	VERB
bitcs-10164	77	148	performance	performance	NOUN
bitcs-10164	77	149	variations	variation	NOUN
bitcs-10164	77	150	at	at	ADP
bitcs-10164	77	151	various	various	ADJ
bitcs-10164	77	152	split	split	ADJ
bitcs-10164	77	153	ratios	ratio	NOUN
bitcs-10164	77	154	of	of	ADP
bitcs-10164	77	155	training	training	NOUN
bitcs-10164	77	156	and	and	CCONJ
bitcs-10164	77	157	testing	testing	NOUN
bitcs-10164	77	158	data	datum	NOUN
bitcs-10164	77	159	.	.	PUNCT
bitcs-10164	78	1	at	at	ADP
bitcs-10164	78	2	a	a	DET
bitcs-10164	78	3	split	split	ADJ
bitcs-10164	78	4	ratio	ratio	NOUN
bitcs-10164	78	5	of	of	ADP
bitcs-10164	78	6	20:80	20:80	NUM
bitcs-10164	78	7	,	,	PUNCT
bitcs-10164	78	8	the	the	DET
bitcs-10164	78	9	m	m	NOUN
bitcs-10164	78	10	-	-	PUNCT
bitcs-10164	78	11	svm	svm	ADJ
bitcs-10164	78	12	linear	linear	PROPN
bitcs-10164	78	13	model	model	NOUN
bitcs-10164	78	14	obtained	obtain	VERB
bitcs-10164	78	15	very	very	ADV
bitcs-10164	78	16	good	good	ADJ
bitcs-10164	78	17	results	result	NOUN
bitcs-10164	78	18	with	with	ADP
bitcs-10164	78	19	the	the	DET
bitcs-10164	78	20	highest	high	ADJ
bitcs-10164	78	21	accuracy	accuracy	NOUN
bitcs-10164	78	22	score	score	NOUN
bitcs-10164	78	23	of	of	ADP
bitcs-10164	78	24	89.4444	89.4444	NUM
bitcs-10164	78	25	%	%	NOUN
bitcs-10164	78	26	,	,	PUNCT
bitcs-10164	78	27	followed	follow	VERB
bitcs-10164	78	28	by	by	ADP
bitcs-10164	78	29	a	a	DET
bitcs-10164	78	30	precision	precision	NOUN
bitcs-10164	78	31	score	score	NOUN
bitcs-10164	78	32	of	of	ADP
bitcs-10164	78	33	84.1667	84.1667	NUM
bitcs-10164	78	34	%	%	NOUN
bitcs-10164	78	35	and	and	CCONJ
bitcs-10164	78	36	a	a	DET
bitcs-10164	78	37	recall	recall	NOUN
bitcs-10164	78	38	of	of	ADP
bitcs-10164	78	39	84.1667	84.1667	NUM
bitcs-10164	78	40	%	%	NOUN
bitcs-10164	78	41	.	.	PUNCT
bitcs-10164	79	1	and	and	CCONJ
bitcs-10164	79	2	the	the	DET
bitcs-10164	79	3	results	result	NOUN
bitcs-10164	79	4	of	of	ADP
bitcs-10164	79	5	the	the	DET
bitcs-10164	79	6	m	m	NOUN
bitcs-10164	79	7	-	-	ADJ
bitcs-10164	79	8	svm	svm	ADJ
bitcs-10164	79	9	linear	linear	NOUN
bitcs-10164	79	10	graph	graph	NOUN
bitcs-10164	79	11	and	and	CCONJ
bitcs-10164	79	12	the	the	DET
bitcs-10164	79	13	calculation	calculation	NOUN
bitcs-10164	79	14	of	of	ADP
bitcs-10164	79	15	the	the	DET
bitcs-10164	79	16	confusion	confusion	NOUN
bitcs-10164	79	17	matrix	matrix	NOUN
bitcs-10164	79	18	with	with	ADP
bitcs-10164	79	19	the	the	DET
bitcs-10164	79	20	highest	high	ADJ
bitcs-10164	79	21	value	value	NOUN
bitcs-10164	79	22	at	at	ADP
bitcs-10164	79	23	a	a	DET
bitcs-10164	79	24	split	split	ADJ
bitcs-10164	79	25	ratio	ratio	NOUN
bitcs-10164	79	26	of	of	ADP
bitcs-10164	79	27	20:80	20:80	NUM
bitcs-10164	79	28	,	,	PUNCT
bitcs-10164	79	29	can	can	AUX
bitcs-10164	79	30	be	be	AUX
bitcs-10164	79	31	seen	see	VERB
bitcs-10164	79	32	in	in	ADP
bitcs-10164	79	33	(	(	PUNCT
bitcs-10164	79	34	figure	figure	NOUN
bitcs-10164	79	35	6	6	NUM
bitcs-10164	79	36	)	)	PUNCT
bitcs-10164	79	37	and	and	CCONJ
bitcs-10164	79	38	(	(	PUNCT
bitcs-10164	79	39	figure	figure	NOUN
bitcs-10164	79	40	7	7	NUM
bitcs-10164	79	41	)	)	PUNCT
bitcs-10164	79	42	below	below	ADV
bitcs-10164	79	43	.	.	PUNCT
bitcs-10164	80	1	figure	figure	VERB
bitcs-10164	80	2	6	6	NUM
bitcs-10164	80	3	.	.	PUNCT
bitcs-10164	81	1	m	m	ADJ
bitcs-10164	81	2	-	-	PUNCT
bitcs-10164	81	3	svm	svm	ADJ
bitcs-10164	81	4	linear	linear	NOUN
bitcs-10164	81	5	graph	graph	NOUN
bitcs-10164	81	6	20:80	20:80	NUM
bitcs-10164	81	7	figure	figure	NOUN
bitcs-10164	81	8	7	7	NUM
bitcs-10164	81	9	.	.	NOUN
bitcs-10164	81	10	cm	cm	NOUN
bitcs-10164	81	11	m	m	NOUN
bitcs-10164	81	12	-	-	PUNCT
bitcs-10164	81	13	svm	svm	ADJ
bitcs-10164	81	14	linear	linear	PROPN
bitcs-10164	81	15	20:80	20:80	NUM
bitcs-10164	81	16	table	table	NOUN
bitcs-10164	81	17	4	4	NUM
bitcs-10164	81	18	.	.	PUNCT
bitcs-10164	81	19	results	result	NOUN
bitcs-10164	81	20	of	of	ADP
bitcs-10164	81	21	gausian	gausian	PROPN
bitcs-10164	81	22	m	m	PROPN
bitcs-10164	81	23	-	-	ADJ
bitcs-10164	81	24	svm	svm	ADJ
bitcs-10164	81	25	performance	performance	NOUN
bitcs-10164	81	26	evaluation	evaluation	NOUN
bitcs-10164	81	27	m	m	NOUN
bitcs-10164	81	28	-	-	ADJ
bitcs-10164	81	29	svm(polynomial	svm(polynomial	ADJ
bitcs-10164	81	30	)	)	PUNCT
bitcs-10164	81	31	split	split	NOUN
bitcs-10164	81	32	ratio	ratio	NOUN
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bitcs-10164	81	34	precision	precision	NOUN
bitcs-10164	81	35	recall	recall	PROPN
bitcs-10164	81	36	data	data	PROPN
bitcs-10164	81	37	training	training	NOUN
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bitcs-10164	81	40	test	test	NOUN
bitcs-10164	81	41	10	10	NUM
bitcs-10164	81	42	%	%	NOUN
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bitcs-10164	81	44	%	%	NOUN
bitcs-10164	81	45	80	80	NUM
bitcs-10164	81	46	%	%	NOUN
bitcs-10164	81	47	77.5360	77.5360	NUM
bitcs-10164	81	48	%	%	NOUN
bitcs-10164	81	49	76.6667	76.6667	NUM
bitcs-10164	81	50	%	%	NOUN
bitcs-10164	81	51	120	120	NUM
bitcs-10164	81	52	1080	1080	NUM
bitcs-10164	81	53	20	20	NUM
bitcs-10164	81	54	%	%	NOUN
bitcs-10164	81	55	80	80	NUM
bitcs-10164	81	56	%	%	NOUN
bitcs-10164	81	57	79.2125	79.2125	NUM
bitcs-10164	81	58	%	%	NOUN
bitcs-10164	81	59	75.7534	75.7534	NUM
bitcs-10164	81	60	%	%	NOUN
bitcs-10164	81	61	75.8333	75.8333	NUM
bitcs-10164	81	62	%	%	NOUN
bitcs-10164	81	63	240	240	NUM
bitcs-10164	81	64	960	960	NUM
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bitcs-10164	81	66	%	%	NOUN
bitcs-10164	81	67	70	70	NUM
bitcs-10164	81	68	%	%	NOUN
bitcs-10164	81	69	79	79	NUM
bitcs-10164	81	70	%	%	NOUN
bitcs-10164	81	71	69.3777	69.3777	NUM
bitcs-10164	81	72	%	%	NOUN
bitcs-10164	81	73	70	70	NUM
bitcs-10164	81	74	%	%	NOUN
bitcs-10164	81	75	360	360	NUM
bitcs-10164	81	76	840	840	NUM
bitcs-10164	81	77	40	40	NUM
bitcs-10164	81	78	%	%	NOUN
bitcs-10164	81	79	60	60	NUM
bitcs-10164	81	80	%	%	NOUN
bitcs-10164	81	81	77.2222	77.2222	NUM
bitcs-10164	81	82	%	%	NOUN
bitcs-10164	81	83	65.0255	65.0255	NUM
bitcs-10164	81	84	%	%	NOUN
bitcs-10164	81	85	65.8333	65.8333	NUM
bitcs-10164	81	86	%	%	NOUN
bitcs-10164	81	87	480	480	NUM
bitcs-10164	81	88	720	720	NUM
bitcs-10164	81	89	vol.6	vol.6	PROPN
bitcs-10164	81	90	,	,	PUNCT
bitcs-10164	81	91	no.2	no.2	PROPN
bitcs-10164	81	92	,	,	PUNCT
bitcs-10164	81	93	july	july	PROPN
bitcs-10164	81	94	2025	2025	NUM
bitcs-10164	81	95	|	|	ADV
bitcs-10164	81	96	72	72	NUM
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bitcs-10164	81	98	%	%	NOUN
bitcs-10164	81	99	50	50	NUM
bitcs-10164	81	100	%	%	NOUN
bitcs-10164	81	101	76	76	NUM
bitcs-10164	81	102	%	%	NOUN
bitcs-10164	81	103	62.9947	62.9947	NUM
bitcs-10164	81	104	%	%	NOUN
bitcs-10164	81	105	64	64	NUM
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bitcs-10164	81	107	600	600	NUM
bitcs-10164	81	108	600	600	NUM
bitcs-10164	81	109	60	60	NUM
bitcs-10164	81	110	%	%	NOUN
bitcs-10164	81	111	40	40	NUM
bitcs-10164	81	112	%	%	NOUN
bitcs-10164	81	113	74.6296	74.6296	NUM
bitcs-10164	81	114	%	%	NOUN
bitcs-10164	81	115	60.8490	60.8490	NUM
bitcs-10164	81	116	%	%	NOUN
bitcs-10164	81	117	59.5833	59.5833	NUM
bitcs-10164	81	118	%	%	NOUN
bitcs-10164	81	119	720	720	NUM
bitcs-10164	81	120	480	480	NUM
bitcs-10164	81	121	70	70	NUM
bitcs-10164	81	122	%	%	NOUN
bitcs-10164	81	123	30	30	NUM
bitcs-10164	81	124	%	%	NOUN
bitcs-10164	81	125	71.1905	71.1905	NUM
bitcs-10164	81	126	%	%	NOUN
bitcs-10164	81	127	55.6062	55.6062	NUM
bitcs-10164	81	128	%	%	NOUN
bitcs-10164	81	129	56.7857	56.7857	NUM
bitcs-10164	81	130	%	%	NOUN
bitcs-10164	81	131	840	840	NUM
bitcs-10164	81	132	360	360	NUM
bitcs-10164	81	133	80	80	NUM
bitcs-10164	81	134	%	%	NOUN
bitcs-10164	81	135	20	20	NUM
bitcs-10164	81	136	%	%	NOUN
bitcs-10164	81	137	71.5278	71.5278	NUM
bitcs-10164	81	138	%	%	NOUN
bitcs-10164	81	139	54.3445	54.3445	NUM
bitcs-10164	81	140	%	%	NOUN
bitcs-10164	81	141	57.2917	57.2917	NUM
bitcs-10164	81	142	%	%	NOUN
bitcs-10164	81	143	960	960	NUM
bitcs-10164	81	144	240	240	NUM
bitcs-10164	81	145	90	90	NUM
bitcs-10164	81	146	%	%	NOUN
bitcs-10164	81	147	10	10	NUM
bitcs-10164	81	148	%	%	NOUN
bitcs-10164	81	149	71.2346	71.2346	NUM
bitcs-10164	81	150	%	%	NOUN
bitcs-10164	81	151	53.6462	53.6462	NUM
bitcs-10164	81	152	%	%	NOUN
bitcs-10164	81	153	56.8519	56.8519	NUM
bitcs-10164	81	154	%	%	NOUN
bitcs-10164	81	155	1080	1080	NUM
bitcs-10164	81	156	120	120	NUM
bitcs-10164	81	157	in	in	ADP
bitcs-10164	81	158	(	(	PUNCT
bitcs-10164	81	159	table	table	NOUN
bitcs-10164	81	160	4	4	NUM
bitcs-10164	81	161	)	)	PUNCT
bitcs-10164	81	162	it	it	PRON
bitcs-10164	81	163	is	be	AUX
bitcs-10164	81	164	explained	explain	VERB
bitcs-10164	81	165	that	that	SCONJ
bitcs-10164	81	166	the	the	DET
bitcs-10164	81	167	gaussian	gaussian	PROPN
bitcs-10164	81	168	m	m	ADJ
bitcs-10164	81	169	-	-	ADJ
bitcs-10164	81	170	svm	svm	ADJ
bitcs-10164	81	171	method	method	NOUN
bitcs-10164	81	172	on	on	ADP
bitcs-10164	81	173	training	training	NOUN
bitcs-10164	81	174	data	datum	NOUN
bitcs-10164	81	175	obtained	obtain	VERB
bitcs-10164	81	176	the	the	DET
bitcs-10164	81	177	highest	high	ADJ
bitcs-10164	81	178	accuracy	accuracy	NOUN
bitcs-10164	81	179	at	at	ADP
bitcs-10164	81	180	a	a	DET
bitcs-10164	81	181	split	split	ADJ
bitcs-10164	81	182	ratio	ratio	NOUN
bitcs-10164	81	183	of	of	ADP
bitcs-10164	81	184	10:90	10:90	NUM
bitcs-10164	81	185	,	,	PUNCT
bitcs-10164	81	186	with	with	ADP
bitcs-10164	81	187	a	a	DET
bitcs-10164	81	188	total	total	NOUN
bitcs-10164	81	189	of	of	ADP
bitcs-10164	81	190	120	120	NUM
bitcs-10164	81	191	data	datum	NOUN
bitcs-10164	81	192	.	.	PUNCT
bitcs-10164	82	1	at	at	ADP
bitcs-10164	82	2	this	this	DET
bitcs-10164	82	3	split	split	ADJ
bitcs-10164	82	4	ratio	ratio	NOUN
bitcs-10164	82	5	,	,	PUNCT
bitcs-10164	82	6	the	the	DET
bitcs-10164	82	7	accuracy	accuracy	NOUN
bitcs-10164	82	8	obtained	obtain	VERB
bitcs-10164	82	9	was	be	AUX
bitcs-10164	82	10	80	80	NUM
bitcs-10164	82	11	%	%	NOUN
bitcs-10164	82	12	,	,	PUNCT
bitcs-10164	82	13	precision	precision	NOUN
bitcs-10164	82	14	75.7534	75.7534	NUM
bitcs-10164	82	15	%	%	NOUN
bitcs-10164	82	16	,	,	PUNCT
bitcs-10164	82	17	and	and	CCONJ
bitcs-10164	82	18	recall	recall	VERB
bitcs-10164	82	19	75.8333	75.8333	NUM
bitcs-10164	82	20	%	%	NOUN
bitcs-10164	82	21	.	.	PUNCT
bitcs-10164	83	1	the	the	DET
bitcs-10164	83	2	gaussian	gaussian	ADJ
bitcs-10164	83	3	m	m	PROPN
bitcs-10164	83	4	-	-	ADJ
bitcs-10164	83	5	svm	svm	ADJ
bitcs-10164	83	6	graph	graph	NOUN
bitcs-10164	83	7	and	and	CCONJ
bitcs-10164	83	8	confusion	confusion	NOUN
bitcs-10164	83	9	matrix	matrix	NOUN
bitcs-10164	83	10	calculation	calculation	NOUN
bitcs-10164	83	11	for	for	ADP
bitcs-10164	83	12	a	a	DET
bitcs-10164	83	13	split	split	ADJ
bitcs-10164	83	14	ratio	ratio	NOUN
bitcs-10164	83	15	of	of	ADP
bitcs-10164	83	16	10:90	10:90	NUM
bitcs-10164	83	17	can	can	AUX
bitcs-10164	83	18	be	be	AUX
bitcs-10164	83	19	seen	see	VERB
bitcs-10164	83	20	in	in	ADP
bitcs-10164	83	21	(	(	PUNCT
bitcs-10164	83	22	figure	figure	NOUN
bitcs-10164	83	23	8)	8)	NUM
bitcs-10164	83	24	and	and	CCONJ
bitcs-10164	83	25	(	(	PUNCT
bitcs-10164	83	26	figure	figure	NOUN
bitcs-10164	83	27	9	9	NUM
bitcs-10164	83	28	)	)	PUNCT
bitcs-10164	83	29	.	.	PUNCT
bitcs-10164	84	1	figure	figure	VERB
bitcs-10164	84	2	8	8	NUM
bitcs-10164	84	3	gaussian	gaussian	PROPN
bitcs-10164	84	4	m	m	ADJ
bitcs-10164	84	5	-	-	ADJ
bitcs-10164	84	6	svm	svm	ADJ
bitcs-10164	84	7	graph	graph	NOUN
bitcs-10164	84	8	10:90	10:90	NUM
bitcs-10164	84	9	figure	figure	NOUN
bitcs-10164	84	10	9	9	NUM
bitcs-10164	84	11	gaussian	gaussian	NOUN
bitcs-10164	84	12	cm	cm	PROPN
bitcs-10164	84	13	m	m	NOUN
bitcs-10164	84	14	-	-	PUNCT
bitcs-10164	84	15	svm	svm	ADJ
bitcs-10164	84	16	10:90	10:90	NUM
bitcs-10164	84	17	c.	c.	NOUN
bitcs-10164	84	18	test	test	NOUN
bitcs-10164	84	19	data	datum	NOUN
bitcs-10164	84	20	for	for	ADP
bitcs-10164	84	21	the	the	DET
bitcs-10164	84	22	multiclass	multiclass	ADJ
bitcs-10164	84	23	support	support	NOUN
bitcs-10164	84	24	vector	vector	NOUN
bitcs-10164	84	25	machine	machine	NOUN
bitcs-10164	84	26	(	(	PUNCT
bitcs-10164	84	27	m	m	NOUN
bitcs-10164	84	28	-	-	PUNCT
bitcs-10164	84	29	svm	svm	ADJ
bitcs-10164	84	30	)	)	PUNCT
bitcs-10164	84	31	method	method	NOUN
bitcs-10164	84	32	table	table	NOUN
bitcs-10164	84	33	5	5	NUM
bitcs-10164	84	34	.	.	PUNCT
bitcs-10164	84	35	results	result	NOUN
bitcs-10164	84	36	of	of	ADP
bitcs-10164	84	37	the	the	DET
bitcs-10164	84	38	m	m	ADJ
bitcs-10164	84	39	-	-	ADJ
bitcs-10164	84	40	svm	svm	ADJ
bitcs-10164	84	41	polynomial	polynomial	ADJ
bitcs-10164	84	42	test	test	NOUN
bitcs-10164	84	43	evaluation	evaluation	NOUN
bitcs-10164	84	44	m	m	NOUN
bitcs-10164	84	45	-	-	PUNCT
bitcs-10164	84	46	svm(polynomial	svm(polynomial	ADJ
bitcs-10164	84	47	)	)	PUNCT
bitcs-10164	84	48	split	split	NOUN
bitcs-10164	84	49	ratio	ratio	NOUN
bitcs-10164	84	50	accuracy	accuracy	NOUN
bitcs-10164	84	51	precision	precision	NOUN
bitcs-10164	84	52	recall	recall	PROPN
bitcs-10164	84	53	data	data	PROPN
bitcs-10164	84	54	training	training	NOUN
bitcs-10164	84	55	testing	testing	NOUN
bitcs-10164	84	56	train	train	NOUN
bitcs-10164	84	57	test	test	NOUN
bitcs-10164	84	58	10	10	NUM
bitcs-10164	84	59	%	%	NOUN
bitcs-10164	84	60	90	90	NUM
bitcs-10164	84	61	%	%	NOUN
bitcs-10164	84	62	71.2346	71.2346	NUM
bitcs-10164	84	63	%	%	NOUN
bitcs-10164	84	64	53.6462	53.6462	NUM
bitcs-10164	84	65	%	%	NOUN
bitcs-10164	84	66	56.8519	56.8519	NUM
bitcs-10164	84	67	%	%	NOUN
bitcs-10164	84	68	1080	1080	NUM
bitcs-10164	84	69	120	120	NUM
bitcs-10164	84	70	20	20	NUM
bitcs-10164	84	71	%	%	NOUN
bitcs-10164	84	72	80	80	NUM
bitcs-10164	84	73	%	%	NOUN
bitcs-10164	84	74	71.5278	71.5278	NUM
bitcs-10164	84	75	%	%	NOUN
bitcs-10164	84	76	54.3445	54.3445	NUM
bitcs-10164	84	77	%	%	NOUN
bitcs-10164	84	78	57.2917	57.2917	NUM
bitcs-10164	84	79	%	%	NOUN
bitcs-10164	84	80	240	240	NUM
bitcs-10164	84	81	960	960	NUM
bitcs-10164	84	82	30	30	NUM
bitcs-10164	84	83	%	%	NOUN
bitcs-10164	84	84	70	70	NUM
bitcs-10164	84	85	%	%	NOUN
bitcs-10164	84	86	71.7460	71.7460	NUM
bitcs-10164	84	87	%	%	NOUN
bitcs-10164	84	88	53.2519	53.2519	NUM
bitcs-10164	84	89	%	%	NOUN
bitcs-10164	84	90	57.6190	57.6190	NUM
bitcs-10164	84	91	%	%	NOUN
bitcs-10164	84	92	360	360	NUM
bitcs-10164	84	93	840	840	NUM
bitcs-10164	84	94	40	40	NUM
bitcs-10164	84	95	%	%	NOUN
bitcs-10164	84	96	60	60	NUM
bitcs-10164	84	97	%	%	NOUN
bitcs-10164	84	98	75.7407	75.7407	NUM
bitcs-10164	84	99	%	%	NOUN
bitcs-10164	84	100	62.1921	62.1921	NUM
bitcs-10164	84	101	%	%	NOUN
bitcs-10164	84	102	63.6111	63.6111	NUM
bitcs-10164	84	103	%	%	NOUN
bitcs-10164	84	104	480	480	NUM
bitcs-10164	84	105	720	720	NUM
bitcs-10164	84	106	50	50	NUM
bitcs-10164	84	107	%	%	NOUN
bitcs-10164	84	108	50	50	NUM
bitcs-10164	84	109	%	%	NOUN
bitcs-10164	84	110	77.4444	77.4444	NUM
bitcs-10164	84	111	%	%	NOUN
bitcs-10164	84	112	64.9680	64.9680	NUM
bitcs-10164	84	113	%	%	NOUN
bitcs-10164	84	114	66.1667	66.1667	NUM
bitcs-10164	84	115	%	%	NOUN
bitcs-10164	84	116	600	600	NUM
bitcs-10164	84	117	600	600	NUM
bitcs-10164	84	118	60	60	NUM
bitcs-10164	84	119	%	%	NOUN
bitcs-10164	84	120	40	40	NUM
bitcs-10164	84	121	%	%	NOUN
bitcs-10164	84	122	78.7500	78.7500	NUM
bitcs-10164	84	123	%	%	NOUN
bitcs-10164	84	124	67.4113	67.4113	NUM
bitcs-10164	84	125	%	%	NOUN
bitcs-10164	84	126	68.1250	68.1250	NUM
bitcs-10164	84	127	%	%	NOUN
bitcs-10164	84	128	720	720	NUM
bitcs-10164	84	129	480	480	NUM
bitcs-10164	84	130	70	70	NUM
bitcs-10164	84	131	%	%	NOUN
bitcs-10164	84	132	30	30	NUM
bitcs-10164	84	133	%	%	NOUN
bitcs-10164	84	134	80.7407	80.7407	NUM
bitcs-10164	84	135	%	%	NOUN
bitcs-10164	84	136	70.9712	70.9712	NUM
bitcs-10164	84	137	%	%	NOUN
bitcs-10164	84	138	71.1111	71.1111	NUM
bitcs-10164	84	139	%	%	NOUN
bitcs-10164	84	140	840	840	NUM
bitcs-10164	84	141	360	360	NUM
bitcs-10164	84	142	80	80	NUM
bitcs-10164	84	143	%	%	NOUN
bitcs-10164	84	144	20	20	NUM
bitcs-10164	84	145	%	%	NOUN
bitcs-10164	84	146	85.5556	85.5556	NUM
bitcs-10164	84	147	%	%	NOUN
bitcs-10164	84	148	77.9906	77.9906	NUM
bitcs-10164	84	149	%	%	NOUN
bitcs-10164	84	150	78.3333	78.3333	NUM
bitcs-10164	84	151	%	%	NOUN
bitcs-10164	84	152	960	960	NUM
bitcs-10164	84	153	240	240	NUM
bitcs-10164	84	154	90	90	NUM
bitcs-10164	84	155	%	%	NOUN
bitcs-10164	84	156	10	10	NUM
bitcs-10164	84	157	%	%	NOUN
bitcs-10164	84	158	85	85	NUM
bitcs-10164	84	159	%	%	NOUN
bitcs-10164	84	160	77.5126	77.5126	NUM
bitcs-10164	84	161	%	%	NOUN
bitcs-10164	84	162	77.5	77.5	NUM
bitcs-10164	84	163	%	%	NOUN
bitcs-10164	84	164	120	120	NUM
bitcs-10164	84	165	1080	1080	NUM
bitcs-10164	84	166	in	in	ADP
bitcs-10164	84	167	(	(	PUNCT
bitcs-10164	84	168	table	table	NOUN
bitcs-10164	84	169	5	5	NUM
bitcs-10164	84	170	)	)	PUNCT
bitcs-10164	84	171	explains	explain	VERB
bitcs-10164	84	172	that	that	SCONJ
bitcs-10164	84	173	the	the	DET
bitcs-10164	84	174	results	result	NOUN
bitcs-10164	84	175	of	of	ADP
bitcs-10164	84	176	the	the	DET
bitcs-10164	84	177	evaluation	evaluation	NOUN
bitcs-10164	84	178	of	of	ADP
bitcs-10164	84	179	test	test	NOUN
bitcs-10164	84	180	data	datum	NOUN
bitcs-10164	84	181	using	use	VERB
bitcs-10164	84	182	the	the	DET
bitcs-10164	84	183	m	m	ADJ
bitcs-10164	84	184	-	-	ADJ
bitcs-10164	84	185	svm	svm	ADJ
bitcs-10164	84	186	polynomial	polynomial	ADJ
bitcs-10164	84	187	method	method	NOUN
bitcs-10164	84	188	obtained	obtain	VERB
bitcs-10164	84	189	the	the	DET
bitcs-10164	84	190	highest	high	ADJ
bitcs-10164	84	191	accuracy	accuracy	NOUN
bitcs-10164	84	192	score	score	NOUN
bitcs-10164	84	193	,	,	PUNCT
bitcs-10164	84	194	namely	namely	ADV
bitcs-10164	84	195	at	at	ADP
bitcs-10164	84	196	a	a	DET
bitcs-10164	84	197	split	split	ADJ
bitcs-10164	84	198	ratio	ratio	NOUN
bitcs-10164	84	199	of	of	ADP
bitcs-10164	84	200	80:20	80:20	NUM
bitcs-10164	84	201	with	with	ADP
bitcs-10164	84	202	an	an	DET
bitcs-10164	84	203	accuracy	accuracy	NOUN
bitcs-10164	84	204	score	score	NOUN
bitcs-10164	84	205	=	=	NOUN
bitcs-10164	84	206	85.5556	85.5556	NUM
bitcs-10164	84	207	%	%	NOUN
bitcs-10164	84	208	,	,	PUNCT
bitcs-10164	84	209	precision	precision	NOUN
bitcs-10164	84	210	=	=	SYM
bitcs-10164	84	211	78.9906	78.9906	NUM
bitcs-10164	84	212	%	%	NOUN
bitcs-10164	84	213	,	,	PUNCT
bitcs-10164	84	214	and	and	CCONJ
bitcs-10164	84	215	recall	recall	VERB
bitcs-10164	84	216	=	=	NOUN
bitcs-10164	84	217	78.3333	78.3333	NUM
bitcs-10164	84	218	%	%	NOUN
bitcs-10164	84	219	.	.	PUNCT
bitcs-10164	85	1	and	and	CCONJ
bitcs-10164	85	2	the	the	DET
bitcs-10164	85	3	results	result	NOUN
bitcs-10164	85	4	of	of	ADP
bitcs-10164	85	5	the	the	DET
bitcs-10164	85	6	calculation	calculation	NOUN
bitcs-10164	85	7	of	of	ADP
bitcs-10164	85	8	the	the	DET
bitcs-10164	85	9	confusion	confusion	NOUN
bitcs-10164	85	10	matrix	matrix	NOUN
bitcs-10164	85	11	m	m	NOUN
bitcs-10164	85	12	-	-	PUNCT
bitcs-10164	85	13	svm	svm	ADJ
bitcs-10164	85	14	polynomial	polynomial	NOUN
bitcs-10164	85	15	with	with	ADP
bitcs-10164	85	16	the	the	DET
bitcs-10164	85	17	highest	high	ADJ
bitcs-10164	85	18	value	value	NOUN
bitcs-10164	85	19	can	can	AUX
bitcs-10164	85	20	be	be	AUX
bitcs-10164	85	21	seen	see	VERB
bitcs-10164	85	22	in	in	ADP
bitcs-10164	85	23	(	(	PUNCT
bitcs-10164	85	24	figure	figure	NOUN
bitcs-10164	85	25	10	10	NUM
bitcs-10164	85	26	)	)	PUNCT
bitcs-10164	85	27	.	.	PUNCT
bitcs-10164	86	1	vol.6	vol.6	PROPN
bitcs-10164	86	2	,	,	PUNCT
bitcs-10164	86	3	no.2	no.2	PROPN
bitcs-10164	86	4	,	,	PUNCT
bitcs-10164	86	5	july	july	PROPN
bitcs-10164	86	6	2025	2025	NUM
bitcs-10164	86	7	|	|	ADV
bitcs-10164	86	8	73	73	NUM
bitcs-10164	86	9	figure	figure	NOUN
bitcs-10164	86	10	10	10	NUM
bitcs-10164	86	11	.	.	PUNCT
bitcs-10164	87	1	cm	cm	PROPN
bitcs-10164	87	2	m	m	NOUN
bitcs-10164	87	3	-	-	PUNCT
bitcs-10164	87	4	svm	svm	ADJ
bitcs-10164	87	5	polynomial	polynomial	ADJ
bitcs-10164	87	6	80:20	80:20	NUM
bitcs-10164	87	7	table	table	NOUN
bitcs-10164	87	8	6	6	NUM
bitcs-10164	87	9	.	.	PUNCT
bitcs-10164	88	1	m	m	ADJ
bitcs-10164	88	2	-	-	PUNCT
bitcs-10164	88	3	svm	svm	ADJ
bitcs-10164	88	4	linear	linear	PROPN
bitcs-10164	88	5	test	test	NOUN
bitcs-10164	88	6	evaluation	evaluation	NOUN
bitcs-10164	88	7	results	result	VERB
bitcs-10164	88	8	m	m	NOUN
bitcs-10164	88	9	-	-	PUNCT
bitcs-10164	88	10	svm(linear	svm(linear	NOUN
bitcs-10164	88	11	)	)	PUNCT
bitcs-10164	88	12	split	split	NOUN
bitcs-10164	88	13	ratio	ratio	NOUN
bitcs-10164	88	14	accuracy	accuracy	NOUN
bitcs-10164	88	15	precision	precision	NOUN
bitcs-10164	88	16	recall	recall	PROPN
bitcs-10164	88	17	data	data	PROPN
bitcs-10164	88	18	training	training	NOUN
bitcs-10164	88	19	testing	testing	NOUN
bitcs-10164	88	20	test	test	NOUN
bitcs-10164	88	21	lati	lati	PROPN
bitcs-10164	88	22	10	10	NUM
bitcs-10164	88	23	%	%	NOUN
bitcs-10164	88	24	90	90	NUM
bitcs-10164	88	25	%	%	NOUN
bitcs-10164	88	26	71	71	NUM
bitcs-10164	88	27	%	%	NOUN
bitcs-10164	88	28	52.5762	52.5762	NUM
bitcs-10164	88	29	%	%	NOUN
bitcs-10164	88	30	56.6219	56.6219	NUM
bitcs-10164	88	31	%	%	NOUN
bitcs-10164	88	32	1080	1080	NUM
bitcs-10164	88	33	120	120	NUM
bitcs-10164	88	34	20	20	NUM
bitcs-10164	88	35	%	%	NOUN
bitcs-10164	88	36	80	80	NUM
bitcs-10164	88	37	%	%	NOUN
bitcs-10164	88	38	71.1078	71.1078	NUM
bitcs-10164	88	39	%	%	NOUN
bitcs-10164	88	40	54.4445	54.4445	NUM
bitcs-10164	88	41	%	%	NOUN
bitcs-10164	88	42	57	57	NUM
bitcs-10164	88	43	%	%	NOUN
bitcs-10164	88	44	960	960	NUM
bitcs-10164	88	45	240	240	NUM
bitcs-10164	88	46	30	30	NUM
bitcs-10164	88	47	%	%	NOUN
bitcs-10164	88	48	70	70	NUM
bitcs-10164	88	49	%	%	NOUN
bitcs-10164	88	50	71.1905	71.1905	NUM
bitcs-10164	88	51	%	%	NOUN
bitcs-10164	88	52	55.6062	55.6062	NUM
bitcs-10164	88	53	%	%	NOUN
bitcs-10164	88	54	56.7857	56.7857	NUM
bitcs-10164	88	55	%	%	NOUN
bitcs-10164	88	56	840	840	NUM
bitcs-10164	88	57	360	360	NUM
bitcs-10164	88	58	40	40	NUM
bitcs-10164	88	59	%	%	NOUN
bitcs-10164	88	60	60	60	NUM
bitcs-10164	88	61	%	%	NOUN
bitcs-10164	88	62	73.0556	73.0556	NUM
bitcs-10164	88	63	%	%	NOUN
bitcs-10164	88	64	58.3109	58.3109	NUM
bitcs-10164	88	65	%	%	NOUN
bitcs-10164	88	66	59.5833	59.5833	NUM
bitcs-10164	88	67	%	%	NOUN
bitcs-10164	88	68	720	720	NUM
bitcs-10164	88	69	480	480	NUM
bitcs-10164	88	70	50	50	NUM
bitcs-10164	88	71	%	%	NOUN
bitcs-10164	88	72	50	50	NUM
bitcs-10164	88	73	%	%	NOUN
bitcs-10164	88	74	72.8889	72.8889	NUM
bitcs-10164	88	75	%	%	NOUN
bitcs-10164	88	76	57.9054	57.9054	NUM
bitcs-10164	88	77	%	%	NOUN
bitcs-10164	88	78	59.3333	59.3333	NUM
bitcs-10164	88	79	%	%	NOUN
bitcs-10164	88	80	600	600	NUM
bitcs-10164	88	81	600	600	NUM
bitcs-10164	88	82	60	60	NUM
bitcs-10164	88	83	%	%	NOUN
bitcs-10164	88	84	40	40	NUM
bitcs-10164	88	85	%	%	NOUN
bitcs-10164	88	86	77.7778	77.7778	NUM
bitcs-10164	88	87	%	%	NOUN
bitcs-10164	88	88	66.9101	66.9101	NUM
bitcs-10164	88	89	%	%	NOUN
bitcs-10164	88	90	66.6667	66.6667	NUM
bitcs-10164	88	91	%	%	NOUN
bitcs-10164	88	92	480	480	NUM
bitcs-10164	88	93	720	720	NUM
bitcs-10164	88	94	70	70	NUM
bitcs-10164	88	95	%	%	NOUN
bitcs-10164	88	96	30	30	NUM
bitcs-10164	88	97	%	%	NOUN
bitcs-10164	88	98	80	80	NUM
bitcs-10164	88	99	%	%	NOUN
bitcs-10164	88	100	69.8135	69.8135	NUM
bitcs-10164	88	101	%	%	NOUN
bitcs-10164	88	102	70	70	NUM
bitcs-10164	88	103	%	%	NOUN
bitcs-10164	88	104	360	360	NUM
bitcs-10164	88	105	840	840	NUM
bitcs-10164	88	106	80	80	NUM
bitcs-10164	88	107	%	%	NOUN
bitcs-10164	88	108	20	20	NUM
bitcs-10164	88	109	%	%	NOUN
bitcs-10164	88	110	84.4444	84.4444	NUM
bitcs-10164	88	111	%	%	NOUN
bitcs-10164	88	112	76.5757	76.5757	NUM
bitcs-10164	88	113	%	%	NOUN
bitcs-10164	88	114	76.6667	76.6667	NUM
bitcs-10164	88	115	%	%	NOUN
bitcs-10164	88	116	240	240	NUM
bitcs-10164	88	117	960	960	NUM
bitcs-10164	88	118	90	90	NUM
bitcs-10164	88	119	%	%	NOUN
bitcs-10164	88	120	10	10	NUM
bitcs-10164	88	121	%	%	NOUN
bitcs-10164	88	122	83.8889	83.8889	NUM
bitcs-10164	88	123	%	%	NOUN
bitcs-10164	88	124	76.2121	76.2121	NUM
bitcs-10164	88	125	%	%	NOUN
bitcs-10164	88	126	75.8333	75.8333	NUM
bitcs-10164	88	127	%	%	NOUN
bitcs-10164	88	128	120	120	NUM
bitcs-10164	88	129	1080	1080	NUM
bitcs-10164	88	130	in	in	ADP
bitcs-10164	88	131	(	(	PUNCT
bitcs-10164	88	132	table	table	NOUN
bitcs-10164	88	133	6	6	NUM
bitcs-10164	88	134	)	)	PUNCT
bitcs-10164	88	135	it	it	PRON
bitcs-10164	88	136	is	be	AUX
bitcs-10164	88	137	explained	explain	VERB
bitcs-10164	88	138	that	that	SCONJ
bitcs-10164	88	139	the	the	DET
bitcs-10164	88	140	results	result	NOUN
bitcs-10164	88	141	of	of	ADP
bitcs-10164	88	142	the	the	DET
bitcs-10164	88	143	evaluation	evaluation	NOUN
bitcs-10164	88	144	of	of	ADP
bitcs-10164	88	145	the	the	DET
bitcs-10164	88	146	test	test	NOUN
bitcs-10164	88	147	data	datum	NOUN
bitcs-10164	88	148	using	use	VERB
bitcs-10164	88	149	the	the	DET
bitcs-10164	88	150	m	m	ADJ
bitcs-10164	88	151	-	-	ADJ
bitcs-10164	88	152	svm	svm	ADJ
bitcs-10164	88	153	linear	linear	PROPN
bitcs-10164	88	154	method	method	NOUN
bitcs-10164	88	155	obtained	obtain	VERB
bitcs-10164	88	156	the	the	DET
bitcs-10164	88	157	highest	high	ADJ
bitcs-10164	88	158	accuracy	accuracy	NOUN
bitcs-10164	88	159	score	score	NOUN
bitcs-10164	88	160	,	,	PUNCT
bitcs-10164	88	161	namely	namely	ADV
bitcs-10164	88	162	at	at	ADP
bitcs-10164	88	163	a	a	DET
bitcs-10164	88	164	split	split	ADJ
bitcs-10164	88	165	ratio	ratio	NOUN
bitcs-10164	88	166	of	of	ADP
bitcs-10164	88	167	80:20	80:20	NUM
bitcs-10164	88	168	with	with	ADP
bitcs-10164	88	169	an	an	DET
bitcs-10164	88	170	accuracy	accuracy	NOUN
bitcs-10164	88	171	score	score	NOUN
bitcs-10164	88	172	=	=	SYM
bitcs-10164	88	173	84.4444	84.4444	NUM
bitcs-10164	88	174	%	%	NOUN
bitcs-10164	88	175	,	,	PUNCT
bitcs-10164	88	176	precision	precision	NOUN
bitcs-10164	88	177	=	=	PUNCT
bitcs-10164	88	178	76.5757	76.5757	NUM
bitcs-10164	88	179	%	%	NOUN
bitcs-10164	88	180	,	,	PUNCT
bitcs-10164	88	181	and	and	CCONJ
bitcs-10164	88	182	recall	recall	VERB
bitcs-10164	88	183	=	=	SYM
bitcs-10164	88	184	76.6667	76.6667	NUM
bitcs-10164	88	185	%	%	NOUN
bitcs-10164	88	186	.	.	PUNCT
bitcs-10164	89	1	high	high	ADJ
bitcs-10164	89	2	accuracy	accuracy	NOUN
bitcs-10164	89	3	,	,	PUNCT
bitcs-10164	89	4	precision	precision	NOUN
bitcs-10164	89	5	,	,	PUNCT
bitcs-10164	89	6	and	and	CCONJ
bitcs-10164	89	7	recall	recall	VERB
bitcs-10164	89	8	at	at	ADP
bitcs-10164	89	9	a	a	DET
bitcs-10164	89	10	ratio	ratio	NOUN
bitcs-10164	89	11	of	of	ADP
bitcs-10164	89	12	80:20	80:20	NUM
bitcs-10164	89	13	occur	occur	VERB
bitcs-10164	89	14	because	because	SCONJ
bitcs-10164	89	15	the	the	DET
bitcs-10164	89	16	model	model	NOUN
bitcs-10164	89	17	has	have	VERB
bitcs-10164	89	18	enough	enough	ADJ
bitcs-10164	89	19	data	datum	NOUN
bitcs-10164	89	20	for	for	ADP
bitcs-10164	89	21	training	training	NOUN
bitcs-10164	89	22	(	(	PUNCT
bitcs-10164	89	23	80	80	NUM
bitcs-10164	89	24	%	%	NOUN
bitcs-10164	89	25	of	of	ADP
bitcs-10164	89	26	data	datum	NOUN
bitcs-10164	89	27	for	for	ADP
bitcs-10164	89	28	training	training	NOUN
bitcs-10164	89	29	)	)	PUNCT
bitcs-10164	89	30	.	.	PUNCT
bitcs-10164	90	1	and	and	CCONJ
bitcs-10164	90	2	the	the	DET
bitcs-10164	90	3	results	result	NOUN
bitcs-10164	90	4	of	of	ADP
bitcs-10164	90	5	the	the	DET
bitcs-10164	90	6	calculation	calculation	NOUN
bitcs-10164	90	7	of	of	ADP
bitcs-10164	90	8	the	the	DET
bitcs-10164	90	9	m	m	NOUN
bitcs-10164	90	10	-	-	ADJ
bitcs-10164	90	11	svm	svm	ADJ
bitcs-10164	90	12	linear	linear	ADJ
bitcs-10164	90	13	confusion	confusion	NOUN
bitcs-10164	90	14	matrix	matrix	NOUN
bitcs-10164	90	15	with	with	ADP
bitcs-10164	90	16	the	the	DET
bitcs-10164	90	17	highest	high	ADJ
bitcs-10164	90	18	value	value	NOUN
bitcs-10164	90	19	can	can	AUX
bitcs-10164	90	20	be	be	AUX
bitcs-10164	90	21	seen	see	VERB
bitcs-10164	90	22	in	in	ADP
bitcs-10164	90	23	(	(	PUNCT
bitcs-10164	90	24	figure	figure	NOUN
bitcs-10164	90	25	11	11	NUM
bitcs-10164	90	26	)	)	PUNCT
bitcs-10164	90	27	.	.	PUNCT
bitcs-10164	91	1	figure	figure	VERB
bitcs-10164	91	2	11	11	NUM
bitcs-10164	91	3	cm	cm	NOUN
bitcs-10164	91	4	m	m	NOUN
bitcs-10164	91	5	-	-	PUNCT
bitcs-10164	91	6	svm	svm	ADJ
bitcs-10164	91	7	linear	linear	PROPN
bitcs-10164	91	8	80:20	80:20	NUM
bitcs-10164	91	9	vol.6	vol.6	PROPN
bitcs-10164	91	10	,	,	PUNCT
bitcs-10164	91	11	no.2	no.2	PROPN
bitcs-10164	91	12	,	,	PUNCT
bitcs-10164	91	13	july	july	PROPN
bitcs-10164	91	14	2025	2025	NUM
bitcs-10164	91	15	|	|	ADV
bitcs-10164	91	16	74	74	NUM
bitcs-10164	91	17	table	table	NOUN
bitcs-10164	91	18	7	7	NUM
bitcs-10164	91	19	gaussian	gaussian	ADJ
bitcs-10164	91	20	m	m	ADJ
bitcs-10164	91	21	-	-	ADJ
bitcs-10164	91	22	svm	svm	ADJ
bitcs-10164	91	23	test	test	NOUN
bitcs-10164	91	24	evaluation	evaluation	NOUN
bitcs-10164	91	25	results	result	VERB
bitcs-10164	91	26	m	m	NOUN
bitcs-10164	91	27	-	-	PUNCT
bitcs-10164	91	28	svm(gausian	svm(gausian	ADJ
bitcs-10164	91	29	)	)	PUNCT
bitcs-10164	91	30	split	split	ADJ
bitcs-10164	91	31	ratio	ratio	NOUN
bitcs-10164	91	32	accuracy	accuracy	NOUN
bitcs-10164	91	33	precision	precision	NOUN
bitcs-10164	91	34	recall	recall	PROPN
bitcs-10164	91	35	data	data	PROPN
bitcs-10164	91	36	training	training	NOUN
bitcs-10164	91	37	testing	testing	NOUN
bitcs-10164	91	38	test	test	NOUN
bitcs-10164	91	39	lati	lati	PROPN
bitcs-10164	91	40	10	10	NUM
bitcs-10164	91	41	%	%	NOUN
bitcs-10164	91	42	90	90	NUM
bitcs-10164	91	43	%	%	NOUN
bitcs-10164	91	44	61.7778	61.7778	NUM
bitcs-10164	91	45	%	%	NOUN
bitcs-10164	91	46	45.8540	45.8540	NUM
bitcs-10164	91	47	%	%	NOUN
bitcs-10164	91	48	42.6667	42.6667	NUM
bitcs-10164	91	49	%	%	NOUN
bitcs-10164	91	50	1080	1080	NUM
bitcs-10164	91	51	120	120	NUM
bitcs-10164	91	52	20	20	NUM
bitcs-10164	91	53	%	%	NOUN
bitcs-10164	91	54	80	80	NUM
bitcs-10164	91	55	%	%	NOUN
bitcs-10164	91	56	61.7778	61.7778	NUM
bitcs-10164	91	57	%	%	NOUN
bitcs-10164	91	58	45.9603	45.9603	NUM
bitcs-10164	91	59	%	%	NOUN
bitcs-10164	91	60	46.7	46.7	NUM
bitcs-10164	91	61	%	%	NOUN
bitcs-10164	91	62	960	960	NUM
bitcs-10164	91	63	240	240	NUM
bitcs-10164	91	64	30	30	NUM
bitcs-10164	91	65	%	%	NOUN
bitcs-10164	91	66	70	70	NUM
bitcs-10164	91	67	%	%	NOUN
bitcs-10164	91	68	63.4286	63.4286	NUM
bitcs-10164	91	69	%	%	NOUN
bitcs-10164	91	70	47.992	47.992	NUM
bitcs-10164	91	71	%	%	NOUN
bitcs-10164	91	72	45.1429	45.1429	NUM
bitcs-10164	91	73	%	%	NOUN
bitcs-10164	91	74	840	840	NUM
bitcs-10164	91	75	360	360	NUM
bitcs-10164	91	76	40	40	NUM
bitcs-10164	91	77	%	%	NOUN
bitcs-10164	91	78	60	60	NUM
bitcs-10164	91	79	%	%	NOUN
bitcs-10164	91	80	67.4074	67.4074	NUM
bitcs-10164	91	81	%	%	NOUN
bitcs-10164	91	82	50.0876	50.0876	NUM
bitcs-10164	91	83	%	%	NOUN
bitcs-10164	91	84	51.1111	51.1111	NUM
bitcs-10164	91	85	%	%	NOUN
bitcs-10164	91	86	720	720	NUM
bitcs-10164	91	87	480	480	NUM
bitcs-10164	91	88	50	50	NUM
bitcs-10164	91	89	%	%	NOUN
bitcs-10164	91	90	50	50	NUM
bitcs-10164	91	91	%	%	NOUN
bitcs-10164	91	92	67.4667	67.4667	NUM
bitcs-10164	91	93	%	%	NOUN
bitcs-10164	91	94	49.7449	49.7449	NUM
bitcs-10164	91	95	%	%	NOUN
bitcs-10164	91	96	51.2	51.2	NUM
bitcs-10164	91	97	%	%	NOUN
bitcs-10164	91	98	600	600	NUM
bitcs-10164	91	99	600	600	NUM
bitcs-10164	91	100	60	60	NUM
bitcs-10164	91	101	%	%	NOUN
bitcs-10164	91	102	40	40	NUM
bitcs-10164	91	103	%	%	NOUN
bitcs-10164	91	104	67.7778	67.7778	NUM
bitcs-10164	91	105	%	%	NOUN
bitcs-10164	91	106	49.9405	49.9405	NUM
bitcs-10164	91	107	%	%	NOUN
bitcs-10164	91	108	51.6667	51.6667	NUM
bitcs-10164	91	109	%	%	NOUN
bitcs-10164	91	110	480	480	NUM
bitcs-10164	91	111	720	720	NUM
bitcs-10164	91	112	70	70	NUM
bitcs-10164	91	113	%	%	NOUN
bitcs-10164	91	114	30	30	NUM
bitcs-10164	91	115	%	%	NOUN
bitcs-10164	91	116	73.2593	73.2593	NUM
bitcs-10164	91	117	%	%	NOUN
bitcs-10164	91	118	55.5506	55.5506	NUM
bitcs-10164	91	119	%	%	NOUN
bitcs-10164	91	120	56.8889	56.8889	NUM
bitcs-10164	91	121	%	%	NOUN
bitcs-10164	91	122	360	360	NUM
bitcs-10164	91	123	840	840	NUM
bitcs-10164	91	124	80	80	NUM
bitcs-10164	91	125	%	%	NOUN
bitcs-10164	91	126	20	20	NUM
bitcs-10164	91	127	%	%	NOUN
bitcs-10164	91	128	76.8889	76.8889	NUM
bitcs-10164	91	129	%	%	NOUN
bitcs-10164	91	130	58.8763	58.8763	NUM
bitcs-10164	91	131	%	%	NOUN
bitcs-10164	91	132	59.3333	59.3333	NUM
bitcs-10164	91	133	%	%	NOUN
bitcs-10164	91	134	240	240	NUM
bitcs-10164	91	135	960	960	NUM
bitcs-10164	91	136	90	90	NUM
bitcs-10164	91	137	%	%	NOUN
bitcs-10164	91	138	10	10	NUM
bitcs-10164	91	139	%	%	NOUN
bitcs-10164	91	140	79.8889	79.8889	NUM
bitcs-10164	91	141	%	%	NOUN
bitcs-10164	91	142	64.7186	64.7186	NUM
bitcs-10164	91	143	%	%	NOUN
bitcs-10164	91	144	65.3333	65.3333	NUM
bitcs-10164	91	145	%	%	NOUN
bitcs-10164	91	146	120	120	NUM
bitcs-10164	91	147	1080	1080	NUM
bitcs-10164	91	148	in	in	ADP
bitcs-10164	91	149	(	(	PUNCT
bitcs-10164	91	150	table	table	NOUN
bitcs-10164	91	151	7	7	NUM
bitcs-10164	91	152	)	)	PUNCT
bitcs-10164	91	153	it	it	PRON
bitcs-10164	91	154	is	be	AUX
bitcs-10164	91	155	explained	explain	VERB
bitcs-10164	91	156	that	that	SCONJ
bitcs-10164	91	157	the	the	DET
bitcs-10164	91	158	results	result	NOUN
bitcs-10164	91	159	of	of	ADP
bitcs-10164	91	160	the	the	DET
bitcs-10164	91	161	evaluation	evaluation	NOUN
bitcs-10164	91	162	of	of	ADP
bitcs-10164	91	163	the	the	DET
bitcs-10164	91	164	test	test	NOUN
bitcs-10164	91	165	data	datum	NOUN
bitcs-10164	91	166	using	use	VERB
bitcs-10164	91	167	the	the	DET
bitcs-10164	91	168	gausian	gausian	NOUN
bitcs-10164	91	169	msvm	msvm	PROPN
bitcs-10164	91	170	method	method	NOUN
bitcs-10164	91	171	obtained	obtain	VERB
bitcs-10164	91	172	the	the	DET
bitcs-10164	91	173	highest	high	ADJ
bitcs-10164	91	174	accuracy	accuracy	NOUN
bitcs-10164	91	175	score	score	NOUN
bitcs-10164	91	176	,	,	PUNCT
bitcs-10164	91	177	namely	namely	ADV
bitcs-10164	91	178	at	at	ADP
bitcs-10164	91	179	a	a	DET
bitcs-10164	91	180	split	split	ADJ
bitcs-10164	91	181	ratio	ratio	NOUN
bitcs-10164	91	182	of	of	ADP
bitcs-10164	91	183	90:10	90:10	NUM
bitcs-10164	91	184	with	with	ADP
bitcs-10164	91	185	an	an	DET
bitcs-10164	91	186	accuracy	accuracy	NOUN
bitcs-10164	91	187	score	score	NOUN
bitcs-10164	92	1	=	=	PUNCT
bitcs-10164	92	2	69.7778	69.7778	NUM
bitcs-10164	92	3	%	%	NOUN
bitcs-10164	92	4	,	,	PUNCT
bitcs-10164	92	5	precision	precision	NOUN
bitcs-10164	92	6	=	=	PUNCT
bitcs-10164	92	7	52.5284	52.5284	NUM
bitcs-10164	92	8	%	%	NOUN
bitcs-10164	92	9	,	,	PUNCT
bitcs-10164	92	10	and	and	CCONJ
bitcs-10164	92	11	recall	recall	VERB
bitcs-10164	92	12	=	=	SYM
bitcs-10164	92	13	54.6667	54.6667	NUM
bitcs-10164	92	14	%	%	NOUN
bitcs-10164	92	15	.	.	PUNCT
bitcs-10164	93	1	and	and	CCONJ
bitcs-10164	93	2	the	the	DET
bitcs-10164	93	3	results	result	NOUN
bitcs-10164	93	4	of	of	ADP
bitcs-10164	93	5	the	the	DET
bitcs-10164	93	6	calculation	calculation	NOUN
bitcs-10164	93	7	of	of	ADP
bitcs-10164	93	8	the	the	DET
bitcs-10164	93	9	gausian	gausian	NOUN
bitcs-10164	93	10	m	m	PROPN
bitcs-10164	93	11	-	-	PUNCT
bitcs-10164	93	12	svm	svm	ADJ
bitcs-10164	93	13	confusion	confusion	NOUN
bitcs-10164	93	14	matrix	matrix	NOUN
bitcs-10164	93	15	with	with	ADP
bitcs-10164	93	16	the	the	DET
bitcs-10164	93	17	highest	high	ADJ
bitcs-10164	93	18	value	value	NOUN
bitcs-10164	93	19	at	at	ADP
bitcs-10164	93	20	a	a	DET
bitcs-10164	93	21	split	split	ADJ
bitcs-10164	93	22	ratio	ratio	NOUN
bitcs-10164	93	23	of	of	ADP
bitcs-10164	93	24	90:10	90:10	NUM
bitcs-10164	93	25	can	can	AUX
bitcs-10164	93	26	be	be	AUX
bitcs-10164	93	27	seen	see	VERB
bitcs-10164	93	28	in	in	ADP
bitcs-10164	93	29	(	(	PUNCT
bitcs-10164	93	30	figure	figure	NOUN
bitcs-10164	93	31	12	12	NUM
bitcs-10164	93	32	)	)	PUNCT
bitcs-10164	93	33	figure	figure	NOUN
bitcs-10164	93	34	12	12	NUM
bitcs-10164	93	35	.	.	PUNCT
bitcs-10164	94	1	cm	cm	PROPN
bitcs-10164	94	2	m	m	NOUN
bitcs-10164	94	3	-	-	PUNCT
bitcs-10164	94	4	svm	svm	ADJ
bitcs-10164	94	5	gaussian	gaussian	NOUN
bitcs-10164	94	6	90:10	90:10	PROPN
bitcs-10164	94	7	d.	d.	PROPN
bitcs-10164	94	8	results	result	NOUN
bitcs-10164	94	9	of	of	ADP
bitcs-10164	94	10	comparison	comparison	NOUN
bitcs-10164	94	11	of	of	ADP
bitcs-10164	94	12	training	training	NOUN
bitcs-10164	94	13	accuracy	accuracy	NOUN
bitcs-10164	94	14	of	of	ADP
bitcs-10164	94	15	multiclass	multiclass	ADJ
bitcs-10164	94	16	support	support	NOUN
bitcs-10164	94	17	vector	vector	NOUN
bitcs-10164	94	18	machine	machine	NOUN
bitcs-10164	94	19	(	(	PUNCT
bitcs-10164	94	20	m	m	NOUN
bitcs-10164	94	21	-	-	PUNCT
bitcs-10164	94	22	svm	svm	NOUN
bitcs-10164	94	23	)	)	PUNCT
bitcs-10164	94	24	the	the	DET
bitcs-10164	94	25	accuracy	accuracy	NOUN
bitcs-10164	94	26	results	result	NOUN
bitcs-10164	94	27	of	of	ADP
bitcs-10164	94	28	the	the	DET
bitcs-10164	94	29	multiclass	multiclass	ADJ
bitcs-10164	94	30	support	support	NOUN
bitcs-10164	94	31	vector	vector	NOUN
bitcs-10164	94	32	machine	machine	NOUN
bitcs-10164	94	33	(	(	PUNCT
bitcs-10164	94	34	m	m	NOUN
bitcs-10164	94	35	-	-	PUNCT
bitcs-10164	94	36	svm	svm	ADJ
bitcs-10164	94	37	)	)	PUNCT
bitcs-10164	94	38	method	method	NOUN
bitcs-10164	94	39	training	training	NOUN
bitcs-10164	94	40	are	be	AUX
bitcs-10164	94	41	shown	show	VERB
bitcs-10164	94	42	in	in	ADP
bitcs-10164	94	43	the	the	DET
bitcs-10164	94	44	comparison	comparison	NOUN
bitcs-10164	94	45	in	in	ADP
bitcs-10164	94	46	(	(	PUNCT
bitcs-10164	94	47	table	table	NOUN
bitcs-10164	94	48	8)	8)	NUM
bitcs-10164	94	49	.	.	PUNCT
bitcs-10164	95	1	the	the	DET
bitcs-10164	95	2	table	table	NOUN
bitcs-10164	95	3	provides	provide	VERB
bitcs-10164	95	4	an	an	DET
bitcs-10164	95	5	overview	overview	NOUN
bitcs-10164	95	6	of	of	ADP
bitcs-10164	95	7	how	how	SCONJ
bitcs-10164	95	8	effective	effective	ADJ
bitcs-10164	95	9	the	the	DET
bitcs-10164	95	10	m	m	ADJ
bitcs-10164	95	11	-	-	ADJ
bitcs-10164	95	12	svm	svm	ADJ
bitcs-10164	95	13	method	method	NOUN
bitcs-10164	95	14	is	be	AUX
bitcs-10164	95	15	in	in	ADP
bitcs-10164	95	16	classifying	classify	VERB
bitcs-10164	95	17	data	datum	NOUN
bitcs-10164	95	18	,	,	PUNCT
bitcs-10164	95	19	and	and	CCONJ
bitcs-10164	95	20	shows	show	VERB
bitcs-10164	95	21	the	the	DET
bitcs-10164	95	22	variation	variation	NOUN
bitcs-10164	95	23	in	in	ADP
bitcs-10164	95	24	performance	performance	NOUN
bitcs-10164	95	25	based	base	VERB
bitcs-10164	95	26	on	on	ADP
bitcs-10164	95	27	the	the	DET
bitcs-10164	95	28	composition	composition	NOUN
bitcs-10164	95	29	of	of	ADP
bitcs-10164	95	30	the	the	DET
bitcs-10164	95	31	data	datum	NOUN
bitcs-10164	95	32	used	use	VERB
bitcs-10164	95	33	.	.	PUNCT
bitcs-10164	96	1	this	this	PRON
bitcs-10164	96	2	allows	allow	VERB
bitcs-10164	96	3	for	for	ADP
bitcs-10164	96	4	evaluating	evaluate	VERB
bitcs-10164	96	5	the	the	DET
bitcs-10164	96	6	advantages	advantage	NOUN
bitcs-10164	96	7	and	and	CCONJ
bitcs-10164	96	8	disadvantages	disadvantage	NOUN
bitcs-10164	96	9	of	of	ADP
bitcs-10164	96	10	the	the	DET
bitcs-10164	96	11	method	method	NOUN
bitcs-10164	96	12	in	in	ADP
bitcs-10164	96	13	different	different	ADJ
bitcs-10164	96	14	contexts	context	NOUN
bitcs-10164	96	15	.	.	PUNCT
bitcs-10164	97	1	vol.6	vol.6	PROPN
bitcs-10164	97	2	,	,	PUNCT
bitcs-10164	97	3	no.2	no.2	PROPN
bitcs-10164	97	4	,	,	PUNCT
bitcs-10164	97	5	july	july	PROPN
bitcs-10164	97	6	2025	2025	NUM
bitcs-10164	97	7	|	|	ADV
bitcs-10164	97	8	75	75	NUM
bitcs-10164	97	9	table	table	NOUN
bitcs-10164	97	10	8	8	NUM
bitcs-10164	97	11	results	result	NOUN
bitcs-10164	97	12	of	of	ADP
bitcs-10164	97	13	training	training	NOUN
bitcs-10164	97	14	accuracy	accuracy	NOUN
bitcs-10164	97	15	data	datum	NOUN
bitcs-10164	97	16	comparison	comparison	NOUN
bitcs-10164	97	17	split	split	VERB
bitcs-10164	97	18	ratio	ratio	NOUN
bitcs-10164	97	19	accuracy	accuracy	NOUN
bitcs-10164	97	20	polynomial	polynomial	ADJ
bitcs-10164	97	21	linear	linear	PROPN
bitcs-10164	97	22	gaussian	gaussian	NOUN
bitcs-10164	97	23	10;90	10;90	NUM
bitcs-10164	97	24	88	88	NUM
bitcs-10164	97	25	%	%	NOUN
bitcs-10164	97	26	87.2222	87.2222	NUM
bitcs-10164	97	27	%	%	NOUN
bitcs-10164	97	28	80	80	NUM
bitcs-10164	97	29	%	%	NOUN
bitcs-10164	97	30	20;80	20;80	NUM
bitcs-10164	97	31	89.7222	89.7222	NUM
bitcs-10164	97	32	%	%	NOUN
bitcs-10164	97	33	89.4444	89.4444	NUM
bitcs-10164	97	34	%	%	NOUN
bitcs-10164	97	35	79.2125	79.2125	NUM
bitcs-10164	97	36	%	%	NOUN
bitcs-10164	97	37	30;70	30;70	NUM
bitcs-10164	97	38	85.1852	85.1852	NUM
bitcs-10164	97	39	%	%	NOUN
bitcs-10164	97	40	84.8148	84.8148	NUM
bitcs-10164	97	41	%	%	NOUN
bitcs-10164	97	42	79	79	NUM
bitcs-10164	97	43	%	%	NOUN
bitcs-10164	97	44	40;60	40;60	NUM
bitcs-10164	97	45	85.5556	85.5556	NUM
bitcs-10164	97	46	%	%	NOUN
bitcs-10164	97	47	86.2500	86.2500	NUM
bitcs-10164	97	48	%	%	NOUN
bitcs-10164	97	49	77.2222	77.2222	NUM
bitcs-10164	97	50	%	%	NOUN
bitcs-10164	97	51	50;50	50;50	NUM
bitcs-10164	97	52	85.7778	85.7778	NUM
bitcs-10164	97	53	%	%	NOUN
bitcs-10164	97	54	84.4444	84.4444	NUM
bitcs-10164	97	55	%	%	NOUN
bitcs-10164	97	56	76	76	NUM
bitcs-10164	97	57	%	%	NOUN
bitcs-10164	97	58	60;40	60;40	NUM
bitcs-10164	97	59	85.2778	85.2778	NUM
bitcs-10164	97	60	%	%	NOUN
bitcs-10164	97	61	84.9074	84.9074	NUM
bitcs-10164	97	62	%	%	NOUN
bitcs-10164	97	63	74.6296	74.6296	NUM
bitcs-10164	97	64	%	%	NOUN
bitcs-10164	97	65	70;30	70;30	NUM
bitcs-10164	97	66	85.2381	85.2381	NUM
bitcs-10164	97	67	%	%	NOUN
bitcs-10164	97	68	84.2063	84.2063	NUM
bitcs-10164	97	69	%	%	NOUN
bitcs-10164	97	70	71.1905	71.1905	NUM
bitcs-10164	97	71	%	%	NOUN
bitcs-10164	97	72	80;20	80;20	NUM
bitcs-10164	97	73	84.5833	84.5833	NUM
bitcs-10164	97	74	%	%	NOUN
bitcs-10164	97	75	84.5833	84.5833	NUM
bitcs-10164	97	76	%	%	NOUN
bitcs-10164	97	77	71.5278	71.5278	NUM
bitcs-10164	97	78	%	%	NOUN
bitcs-10164	97	79	90;10	90;10	NUM
bitcs-10164	97	80	85.1852	85.1852	NUM
bitcs-10164	97	81	%	%	NOUN
bitcs-10164	97	82	84.3827	84.3827	NUM
bitcs-10164	97	83	%	%	NOUN
bitcs-10164	97	84	71.2346	71.2346	NUM
bitcs-10164	97	85	%	%	NOUN
bitcs-10164	97	86	based	base	VERB
bitcs-10164	97	87	on	on	ADP
bitcs-10164	97	88	the	the	DET
bitcs-10164	97	89	results	result	NOUN
bitcs-10164	97	90	of	of	ADP
bitcs-10164	97	91	the	the	DET
bitcs-10164	97	92	accuracy	accuracy	NOUN
bitcs-10164	97	93	comparison	comparison	NOUN
bitcs-10164	97	94	in	in	ADP
bitcs-10164	97	95	(	(	PUNCT
bitcs-10164	97	96	table	table	NOUN
bitcs-10164	97	97	8)	8)	NUM
bitcs-10164	97	98	,	,	PUNCT
bitcs-10164	97	99	it	it	PRON
bitcs-10164	97	100	can	can	AUX
bitcs-10164	97	101	be	be	AUX
bitcs-10164	97	102	concluded	conclude	VERB
bitcs-10164	97	103	that	that	SCONJ
bitcs-10164	97	104	the	the	DET
bitcs-10164	97	105	method	method	NOUN
bitcs-10164	97	106	with	with	ADP
bitcs-10164	97	107	the	the	DET
bitcs-10164	97	108	polynomial	polynomial	ADJ
bitcs-10164	97	109	kernel	kernel	NOUN
bitcs-10164	97	110	shows	show	VERB
bitcs-10164	97	111	the	the	DET
bitcs-10164	97	112	highest	high	ADJ
bitcs-10164	97	113	accuracy	accuracy	NOUN
bitcs-10164	97	114	value	value	NOUN
bitcs-10164	97	115	of	of	ADP
bitcs-10164	97	116	89.7222	89.7222	NUM
bitcs-10164	97	117	%	%	NOUN
bitcs-10164	97	118	at	at	ADP
bitcs-10164	97	119	a	a	DET
bitcs-10164	97	120	ratio	ratio	NOUN
bitcs-10164	97	121	of	of	ADP
bitcs-10164	97	122	20:80	20:80	NUM
bitcs-10164	97	123	,	,	PUNCT
bitcs-10164	97	124	and	and	CCONJ
bitcs-10164	97	125	in	in	ADP
bitcs-10164	97	126	general	general	ADJ
bitcs-10164	97	127	the	the	DET
bitcs-10164	97	128	performance	performance	NOUN
bitcs-10164	97	129	of	of	ADP
bitcs-10164	97	130	the	the	DET
bitcs-10164	97	131	polynomial	polynomial	ADJ
bitcs-10164	97	132	kernel	kernel	NOUN
bitcs-10164	97	133	is	be	AUX
bitcs-10164	97	134	superior	superior	ADJ
bitcs-10164	97	135	to	to	ADP
bitcs-10164	97	136	the	the	DET
bitcs-10164	97	137	linear	linear	ADJ
bitcs-10164	97	138	and	and	CCONJ
bitcs-10164	97	139	gaussian	gaussian	ADJ
bitcs-10164	97	140	kernels	kernel	NOUN
bitcs-10164	97	141	.	.	PUNCT
bitcs-10164	98	1	the	the	DET
bitcs-10164	98	2	linear	linear	PROPN
bitcs-10164	98	3	kernel	kernel	PROPN
bitcs-10164	98	4	recorded	record	VERB
bitcs-10164	98	5	the	the	DET
bitcs-10164	98	6	highest	high	ADJ
bitcs-10164	98	7	accuracy	accuracy	NOUN
bitcs-10164	98	8	value	value	NOUN
bitcs-10164	98	9	of	of	ADP
bitcs-10164	98	10	88.4444	88.4444	NUM
bitcs-10164	98	11	%	%	NOUN
bitcs-10164	98	12	at	at	ADP
bitcs-10164	98	13	a	a	DET
bitcs-10164	98	14	ratio	ratio	NOUN
bitcs-10164	98	15	of	of	ADP
bitcs-10164	98	16	20:80	20:80	NUM
bitcs-10164	98	17	,	,	PUNCT
bitcs-10164	98	18	while	while	SCONJ
bitcs-10164	98	19	the	the	DET
bitcs-10164	98	20	gaussian	gaussian	ADJ
bitcs-10164	98	21	kernel	kernel	PROPN
bitcs-10164	98	22	had	have	VERB
bitcs-10164	98	23	the	the	DET
bitcs-10164	98	24	lowest	low	ADJ
bitcs-10164	98	25	performance	performance	NOUN
bitcs-10164	98	26	,	,	PUNCT
bitcs-10164	98	27	with	with	ADP
bitcs-10164	98	28	the	the	DET
bitcs-10164	98	29	highest	high	ADJ
bitcs-10164	98	30	accuracy	accuracy	NOUN
bitcs-10164	98	31	of	of	ADP
bitcs-10164	98	32	only	only	ADV
bitcs-10164	98	33	80	80	NUM
bitcs-10164	98	34	%	%	NOUN
bitcs-10164	98	35	at	at	ADP
bitcs-10164	98	36	a	a	DET
bitcs-10164	98	37	ratio	ratio	NOUN
bitcs-10164	98	38	of	of	ADP
bitcs-10164	98	39	10:90	10:90	NUM
bitcs-10164	98	40	.	.	PUNCT
bitcs-10164	99	1	overall	overall	ADJ
bitcs-10164	99	2	,	,	PUNCT
bitcs-10164	99	3	polynomial	polynomial	ADJ
bitcs-10164	99	4	kernels	kernel	NOUN
bitcs-10164	99	5	are	be	AUX
bitcs-10164	99	6	more	more	ADV
bitcs-10164	99	7	effective	effective	ADJ
bitcs-10164	99	8	in	in	ADP
bitcs-10164	99	9	handling	handle	VERB
bitcs-10164	99	10	larger	large	ADJ
bitcs-10164	99	11	training	training	NOUN
bitcs-10164	99	12	data	datum	NOUN
bitcs-10164	99	13	,	,	PUNCT
bitcs-10164	99	14	while	while	SCONJ
bitcs-10164	99	15	linear	linear	ADJ
bitcs-10164	99	16	kernels	kernel	NOUN
bitcs-10164	99	17	show	show	VERB
bitcs-10164	99	18	better	well	ADJ
bitcs-10164	99	19	results	result	NOUN
bitcs-10164	99	20	at	at	ADP
bitcs-10164	99	21	more	more	ADV
bitcs-10164	99	22	balanced	balanced	ADJ
bitcs-10164	99	23	data	data	NOUN
bitcs-10164	99	24	ratios	ratio	NOUN
bitcs-10164	99	25	between	between	ADP
bitcs-10164	99	26	training	training	NOUN
bitcs-10164	99	27	and	and	CCONJ
bitcs-10164	99	28	testing	testing	NOUN
bitcs-10164	99	29	data	datum	NOUN
bitcs-10164	99	30	.	.	PUNCT
bitcs-10164	100	1	gaussian	gaussian	ADJ
bitcs-10164	100	2	kernels	kernel	NOUN
bitcs-10164	100	3	,	,	PUNCT
bitcs-10164	100	4	although	although	SCONJ
bitcs-10164	100	5	inferior	inferior	ADJ
bitcs-10164	100	6	,	,	PUNCT
bitcs-10164	100	7	still	still	ADV
bitcs-10164	100	8	provide	provide	VERB
bitcs-10164	100	9	good	good	ADJ
bitcs-10164	100	10	performance	performance	NOUN
bitcs-10164	100	11	at	at	ADP
bitcs-10164	100	12	more	more	ADV
bitcs-10164	100	13	dominant	dominant	ADJ
bitcs-10164	100	14	testing	testing	NOUN
bitcs-10164	100	15	data	datum	NOUN
bitcs-10164	100	16	ratios	ratio	NOUN
bitcs-10164	100	17	,	,	PUNCT
bitcs-10164	100	18	but	but	CCONJ
bitcs-10164	100	19	not	not	PART
bitcs-10164	100	20	as	as	ADV
bitcs-10164	100	21	high	high	ADJ
bitcs-10164	100	22	as	as	ADP
bitcs-10164	100	23	polynomial	polynomial	ADJ
bitcs-10164	100	24	and	and	CCONJ
bitcs-10164	100	25	linear	linear	ADJ
bitcs-10164	100	26	kernels	kernel	NOUN
bitcs-10164	100	27	.	.	PUNCT
bitcs-10164	101	1	e.	e.	PROPN
bitcs-10164	101	2	results	result	NOUN
bitcs-10164	101	3	of	of	ADP
bitcs-10164	101	4	comparative	comparative	ADJ
bitcs-10164	101	5	accuracy	accuracy	NOUN
bitcs-10164	101	6	of	of	ADP
bitcs-10164	101	7	multiclass	multiclass	ADJ
bitcs-10164	101	8	support	support	NOUN
bitcs-10164	101	9	vector	vector	NOUN
bitcs-10164	101	10	machine	machine	NOUN
bitcs-10164	101	11	(	(	PUNCT
bitcs-10164	101	12	m	m	NOUN
bitcs-10164	101	13	-	-	PUNCT
bitcs-10164	101	14	svm	svm	ADJ
bitcs-10164	101	15	)	)	PUNCT
bitcs-10164	101	16	testing	test	VERB
bitcs-10164	101	17	the	the	DET
bitcs-10164	101	18	accuracy	accuracy	NOUN
bitcs-10164	101	19	results	result	NOUN
bitcs-10164	101	20	of	of	ADP
bitcs-10164	101	21	the	the	DET
bitcs-10164	101	22	testing	testing	NOUN
bitcs-10164	101	23	data	datum	NOUN
bitcs-10164	101	24	from	from	ADP
bitcs-10164	101	25	the	the	DET
bitcs-10164	101	26	multiclass	multiclass	ADJ
bitcs-10164	101	27	support	support	NOUN
bitcs-10164	101	28	vector	vector	NOUN
bitcs-10164	101	29	machine	machine	NOUN
bitcs-10164	101	30	(	(	PUNCT
bitcs-10164	101	31	m	m	NOUN
bitcs-10164	101	32	-	-	PUNCT
bitcs-10164	101	33	svm	svm	ADJ
bitcs-10164	101	34	)	)	PUNCT
bitcs-10164	101	35	method	method	NOUN
bitcs-10164	101	36	are	be	AUX
bitcs-10164	101	37	shown	show	VERB
bitcs-10164	101	38	in	in	ADP
bitcs-10164	101	39	the	the	DET
bitcs-10164	101	40	comparison	comparison	NOUN
bitcs-10164	101	41	results	result	VERB
bitcs-10164	101	42	in	in	ADP
bitcs-10164	101	43	(	(	PUNCT
bitcs-10164	101	44	table	table	NOUN
bitcs-10164	101	45	9	9	NUM
bitcs-10164	101	46	)	)	PUNCT
bitcs-10164	101	47	.	.	PUNCT
bitcs-10164	102	1	the	the	DET
bitcs-10164	102	2	table	table	NOUN
bitcs-10164	102	3	provides	provide	VERB
bitcs-10164	102	4	an	an	DET
bitcs-10164	102	5	overview	overview	NOUN
bitcs-10164	102	6	of	of	ADP
bitcs-10164	102	7	how	how	SCONJ
bitcs-10164	102	8	effective	effective	ADJ
bitcs-10164	102	9	the	the	DET
bitcs-10164	102	10	m	m	ADJ
bitcs-10164	102	11	-	-	ADJ
bitcs-10164	102	12	svm	svm	ADJ
bitcs-10164	102	13	method	method	NOUN
bitcs-10164	102	14	is	be	AUX
bitcs-10164	102	15	in	in	ADP
bitcs-10164	102	16	classifying	classify	VERB
bitcs-10164	102	17	data	datum	NOUN
bitcs-10164	102	18	,	,	PUNCT
bitcs-10164	102	19	and	and	CCONJ
bitcs-10164	102	20	shows	show	VERB
bitcs-10164	102	21	variations	variation	NOUN
bitcs-10164	102	22	in	in	ADP
bitcs-10164	102	23	performance	performance	NOUN
bitcs-10164	102	24	based	base	VERB
bitcs-10164	102	25	on	on	ADP
bitcs-10164	102	26	the	the	DET
bitcs-10164	102	27	composition	composition	NOUN
bitcs-10164	102	28	of	of	ADP
bitcs-10164	102	29	the	the	DET
bitcs-10164	102	30	data	datum	NOUN
bitcs-10164	102	31	used	use	VERB
bitcs-10164	102	32	.	.	PUNCT
bitcs-10164	103	1	table	table	NOUN
bitcs-10164	103	2	9	9	NUM
bitcs-10164	103	3	results	result	NOUN
bitcs-10164	103	4	of	of	ADP
bitcs-10164	103	5	comparison	comparison	NOUN
bitcs-10164	103	6	of	of	ADP
bitcs-10164	103	7	test	test	NOUN
bitcs-10164	103	8	accuracy	accuracy	NOUN
bitcs-10164	103	9	data	datum	NOUN
bitcs-10164	103	10	split	split	VERB
bitcs-10164	103	11	ratio	ratio	NOUN
bitcs-10164	103	12	accuracy	accuracy	NOUN
bitcs-10164	103	13	polynomial	polynomial	ADJ
bitcs-10164	103	14	linear	linear	PROPN
bitcs-10164	103	15	gaussian	gaussian	NOUN
bitcs-10164	103	16	10;90	10;90	NUM
bitcs-10164	103	17	71.2346	71.2346	NUM
bitcs-10164	103	18	%	%	NOUN
bitcs-10164	103	19	71	71	NUM
bitcs-10164	103	20	%	%	NOUN
bitcs-10164	103	21	61.7778	61.7778	NUM
bitcs-10164	103	22	%	%	NOUN
bitcs-10164	103	23	20;80	20;80	NUM
bitcs-10164	103	24	71.5278	71.5278	NUM
bitcs-10164	103	25	%	%	NOUN
bitcs-10164	103	26	71.1078	71.1078	NUM
bitcs-10164	103	27	%	%	NOUN
bitcs-10164	103	28	61.7778	61.7778	NUM
bitcs-10164	103	29	%	%	NOUN
bitcs-10164	103	30	30;70	30;70	NUM
bitcs-10164	103	31	71.7460	71.7460	NUM
bitcs-10164	103	32	%	%	NOUN
bitcs-10164	103	33	71.1905	71.1905	NUM
bitcs-10164	103	34	%	%	NOUN
bitcs-10164	103	35	63.4286	63.4286	NUM
bitcs-10164	103	36	%	%	NOUN
bitcs-10164	103	37	40;60	40;60	NUM
bitcs-10164	103	38	75.7407	75.7407	NUM
bitcs-10164	103	39	%	%	NOUN
bitcs-10164	103	40	73.0556	73.0556	NUM
bitcs-10164	103	41	%	%	NOUN
bitcs-10164	103	42	67.4074	67.4074	NUM
bitcs-10164	103	43	%	%	NOUN
bitcs-10164	103	44	50;50	50;50	NUM
bitcs-10164	103	45	77.4444	77.4444	NUM
bitcs-10164	103	46	%	%	NOUN
bitcs-10164	103	47	72.8889	72.8889	NUM
bitcs-10164	103	48	%	%	NOUN
bitcs-10164	103	49	67.4667	67.4667	NUM
bitcs-10164	103	50	%	%	NOUN
bitcs-10164	103	51	60;40	60;40	NUM
bitcs-10164	103	52	78.7500	78.7500	NUM
bitcs-10164	103	53	%	%	NOUN
bitcs-10164	103	54	77.7778	77.7778	NUM
bitcs-10164	103	55	%	%	NOUN
bitcs-10164	103	56	67.7778	67.7778	NUM
bitcs-10164	103	57	%	%	NOUN
bitcs-10164	103	58	70;30	70;30	NUM
bitcs-10164	103	59	80.7407	80.7407	NUM
bitcs-10164	103	60	%	%	NOUN
bitcs-10164	103	61	80	80	NUM
bitcs-10164	103	62	%	%	NOUN
bitcs-10164	103	63	73.2593	73.2593	NUM
bitcs-10164	103	64	%	%	NOUN
bitcs-10164	103	65	80;20	80;20	NUM
bitcs-10164	103	66	85.5556	85.5556	NUM
bitcs-10164	103	67	%	%	NOUN
bitcs-10164	103	68	84.4444	84.4444	NUM
bitcs-10164	103	69	%	%	NOUN
bitcs-10164	103	70	76.8889	76.8889	NUM
bitcs-10164	103	71	%	%	NOUN
bitcs-10164	103	72	90;10	90;10	NUM
bitcs-10164	103	73	85	85	NUM
bitcs-10164	103	74	%	%	NOUN
bitcs-10164	103	75	83.8889	83.8889	NUM
bitcs-10164	103	76	%	%	NOUN
bitcs-10164	103	77	79.8889	79.8889	NUM
bitcs-10164	103	78	%	%	NOUN
bitcs-10164	103	79	vol.6	vol.6	PROPN
bitcs-10164	103	80	,	,	PUNCT
bitcs-10164	103	81	no.2	no.2	PROPN
bitcs-10164	103	82	,	,	PUNCT
bitcs-10164	103	83	july	july	PROPN
bitcs-10164	103	84	2025	2025	NUM
bitcs-10164	103	85	|	|	ADV
bitcs-10164	103	86	76	76	NUM
bitcs-10164	103	87	based	base	VERB
bitcs-10164	103	88	on	on	ADP
bitcs-10164	103	89	the	the	DET
bitcs-10164	103	90	results	result	NOUN
bitcs-10164	103	91	of	of	ADP
bitcs-10164	103	92	the	the	DET
bitcs-10164	103	93	accuracy	accuracy	NOUN
bitcs-10164	103	94	comparison	comparison	NOUN
bitcs-10164	103	95	in	in	ADP
bitcs-10164	103	96	(	(	PUNCT
bitcs-10164	103	97	table	table	NOUN
bitcs-10164	103	98	9	9	NUM
bitcs-10164	103	99	)	)	PUNCT
bitcs-10164	103	100	,	,	PUNCT
bitcs-10164	103	101	it	it	PRON
bitcs-10164	103	102	can	can	AUX
bitcs-10164	103	103	be	be	AUX
bitcs-10164	103	104	concluded	conclude	VERB
bitcs-10164	103	105	that	that	SCONJ
bitcs-10164	103	106	the	the	DET
bitcs-10164	103	107	methods	method	NOUN
bitcs-10164	103	108	with	with	ADP
bitcs-10164	103	109	polynomial	polynomial	ADJ
bitcs-10164	103	110	kernel	kernel	NOUN
bitcs-10164	103	111	and	and	CCONJ
bitcs-10164	103	112	linear	linear	PROPN
bitcs-10164	103	113	kernel	kernel	PROPN
bitcs-10164	103	114	show	show	VERB
bitcs-10164	103	115	better	well	ADJ
bitcs-10164	103	116	performance	performance	NOUN
bitcs-10164	103	117	compared	compare	VERB
bitcs-10164	103	118	to	to	ADP
bitcs-10164	103	119	the	the	DET
bitcs-10164	103	120	gaussian	gaussian	ADJ
bitcs-10164	103	121	kernel	kernel	NOUN
bitcs-10164	103	122	.	.	PUNCT
bitcs-10164	104	1	the	the	DET
bitcs-10164	104	2	polynomial	polynomial	ADJ
bitcs-10164	104	3	kernel	kernel	NOUN
bitcs-10164	104	4	has	have	VERB
bitcs-10164	104	5	the	the	DET
bitcs-10164	104	6	highest	high	ADJ
bitcs-10164	104	7	accuracy	accuracy	NOUN
bitcs-10164	104	8	value	value	NOUN
bitcs-10164	104	9	of	of	ADP
bitcs-10164	104	10	85.5556	85.5556	NUM
bitcs-10164	104	11	%	%	NOUN
bitcs-10164	104	12	at	at	ADP
bitcs-10164	104	13	a	a	DET
bitcs-10164	104	14	ratio	ratio	NOUN
bitcs-10164	104	15	of	of	ADP
bitcs-10164	104	16	80:20	80:20	NUM
bitcs-10164	104	17	,	,	PUNCT
bitcs-10164	104	18	while	while	SCONJ
bitcs-10164	104	19	the	the	DET
bitcs-10164	104	20	linear	linear	ADJ
bitcs-10164	104	21	kernel	kernel	PROPN
bitcs-10164	104	22	achieves	achieve	VERB
bitcs-10164	104	23	the	the	DET
bitcs-10164	104	24	highest	high	ADJ
bitcs-10164	104	25	accuracy	accuracy	NOUN
bitcs-10164	104	26	value	value	NOUN
bitcs-10164	104	27	of	of	ADP
bitcs-10164	104	28	84.4444	84.4444	NUM
bitcs-10164	104	29	%	%	NOUN
bitcs-10164	104	30	at	at	ADP
bitcs-10164	104	31	a	a	DET
bitcs-10164	104	32	ratio	ratio	NOUN
bitcs-10164	104	33	of	of	ADP
bitcs-10164	104	34	80:20	80:20	NUM
bitcs-10164	104	35	.	.	PUNCT
bitcs-10164	105	1	meanwhile	meanwhile	ADV
bitcs-10164	105	2	,	,	PUNCT
bitcs-10164	105	3	the	the	DET
bitcs-10164	105	4	gaussian	gaussian	ADJ
bitcs-10164	105	5	kernel	kernel	NOUN
bitcs-10164	105	6	is	be	AUX
bitcs-10164	105	7	recorded	record	VERB
bitcs-10164	105	8	with	with	ADP
bitcs-10164	105	9	the	the	DET
bitcs-10164	105	10	highest	high	ADJ
bitcs-10164	105	11	accuracy	accuracy	NOUN
bitcs-10164	105	12	value	value	NOUN
bitcs-10164	105	13	of	of	ADP
bitcs-10164	105	14	79.8889	79.8889	NUM
bitcs-10164	105	15	%	%	NOUN
bitcs-10164	105	16	at	at	ADP
bitcs-10164	105	17	a	a	DET
bitcs-10164	105	18	ratio	ratio	NOUN
bitcs-10164	105	19	of	of	ADP
bitcs-10164	105	20	90:10	90:10	NUM
bitcs-10164	105	21	.	.	PUNCT
bitcs-10164	106	1	overall	overall	ADV
bitcs-10164	106	2	,	,	PUNCT
bitcs-10164	106	3	the	the	DET
bitcs-10164	106	4	polynomial	polynomial	ADJ
bitcs-10164	106	5	kernel	kernel	NOUN
bitcs-10164	106	6	tends	tend	VERB
bitcs-10164	106	7	to	to	PART
bitcs-10164	106	8	be	be	AUX
bitcs-10164	106	9	more	more	ADV
bitcs-10164	106	10	effective	effective	ADJ
bitcs-10164	106	11	in	in	ADP
bitcs-10164	106	12	handling	handle	VERB
bitcs-10164	106	13	larger	large	ADJ
bitcs-10164	106	14	test	test	NOUN
bitcs-10164	106	15	data	datum	NOUN
bitcs-10164	106	16	,	,	PUNCT
bitcs-10164	106	17	with	with	ADP
bitcs-10164	106	18	more	more	ADV
bitcs-10164	106	19	stable	stable	ADJ
bitcs-10164	106	20	accuracy	accuracy	NOUN
bitcs-10164	106	21	across	across	ADP
bitcs-10164	106	22	data	datum	NOUN
bitcs-10164	106	23	ratios	ratio	NOUN
bitcs-10164	106	24	.	.	PUNCT
bitcs-10164	107	1	the	the	DET
bitcs-10164	107	2	linear	linear	ADJ
bitcs-10164	107	3	kernel	kernel	NOUN
bitcs-10164	107	4	,	,	PUNCT
bitcs-10164	107	5	although	although	SCONJ
bitcs-10164	107	6	slightly	slightly	ADV
bitcs-10164	107	7	lower	low	ADJ
bitcs-10164	107	8	,	,	PUNCT
bitcs-10164	107	9	still	still	ADV
bitcs-10164	107	10	shows	show	VERB
bitcs-10164	107	11	consistent	consistent	ADJ
bitcs-10164	107	12	results	result	NOUN
bitcs-10164	107	13	,	,	PUNCT
bitcs-10164	107	14	while	while	SCONJ
bitcs-10164	107	15	the	the	DET
bitcs-10164	107	16	gaussian	gaussian	ADJ
bitcs-10164	107	17	kernel	kernel	NOUN
bitcs-10164	107	18	produces	produce	VERB
bitcs-10164	107	19	lower	low	ADJ
bitcs-10164	107	20	accuracy	accuracy	NOUN
bitcs-10164	107	21	across	across	ADP
bitcs-10164	107	22	almost	almost	ADV
bitcs-10164	107	23	all	all	PRON
bitcs-10164	107	24	test	test	NOUN
bitcs-10164	107	25	data	datum	NOUN
bitcs-10164	107	26	ratios	ratio	NOUN
bitcs-10164	107	27	.	.	PUNCT
bitcs-10164	108	1	this	this	PRON
bitcs-10164	108	2	suggests	suggest	VERB
bitcs-10164	108	3	that	that	SCONJ
bitcs-10164	108	4	the	the	DET
bitcs-10164	108	5	polynomial	polynomial	ADJ
bitcs-10164	108	6	and	and	CCONJ
bitcs-10164	108	7	linear	linear	ADJ
bitcs-10164	108	8	kernels	kernel	NOUN
bitcs-10164	108	9	are	be	AUX
bitcs-10164	108	10	more	more	ADV
bitcs-10164	108	11	suitable	suitable	ADJ
bitcs-10164	108	12	for	for	ADP
bitcs-10164	108	13	this	this	DET
bitcs-10164	108	14	rice	rice	NOUN
bitcs-10164	108	15	leaf	leaf	NOUN
bitcs-10164	108	16	disease	disease	NOUN
bitcs-10164	108	17	classification	classification	NOUN
bitcs-10164	108	18	than	than	ADP
bitcs-10164	108	19	the	the	DET
bitcs-10164	108	20	gaussian	gaussian	ADJ
bitcs-10164	108	21	kernel	kernel	PROPN
bitcs-10164	108	22	iv	iv	PROPN
bitcs-10164	109	1	.	.	PUNCT
bitcs-10164	109	2	conclusions	conclusion	NOUN
bitcs-10164	109	3	this	this	DET
bitcs-10164	109	4	study	study	NOUN
bitcs-10164	109	5	successfully	successfully	ADV
bitcs-10164	109	6	built	build	VERB
bitcs-10164	109	7	a	a	DET
bitcs-10164	109	8	rice	rice	NOUN
bitcs-10164	109	9	leaf	leaf	NOUN
bitcs-10164	109	10	disease	disease	NOUN
bitcs-10164	109	11	classification	classification	NOUN
bitcs-10164	109	12	system	system	NOUN
bitcs-10164	109	13	using	use	VERB
bitcs-10164	109	14	the	the	DET
bitcs-10164	109	15	multi	multi	ADJ
bitcs-10164	109	16	-	-	ADJ
bitcs-10164	109	17	class	class	ADJ
bitcs-10164	109	18	support	support	NOUN
bitcs-10164	109	19	vector	vector	NOUN
bitcs-10164	109	20	machine	machine	NOUN
bitcs-10164	109	21	(	(	PUNCT
bitcs-10164	109	22	m	m	NOUN
bitcs-10164	109	23	-	-	PUNCT
bitcs-10164	109	24	svm	svm	ADJ
bitcs-10164	109	25	)	)	PUNCT
bitcs-10164	109	26	method	method	NOUN
bitcs-10164	109	27	.	.	PUNCT
bitcs-10164	110	1	the	the	DET
bitcs-10164	110	2	test	test	NOUN
bitcs-10164	110	3	results	result	NOUN
bitcs-10164	110	4	showed	show	VERB
bitcs-10164	110	5	that	that	SCONJ
bitcs-10164	110	6	the	the	DET
bitcs-10164	110	7	polynomial	polynomial	ADJ
bitcs-10164	110	8	kernel	kernel	NOUN
bitcs-10164	110	9	provided	provide	VERB
bitcs-10164	110	10	the	the	DET
bitcs-10164	110	11	highest	high	ADJ
bitcs-10164	110	12	accuracy	accuracy	NOUN
bitcs-10164	110	13	of	of	ADP
bitcs-10164	110	14	85.56	85.56	NUM
bitcs-10164	110	15	%	%	NOUN
bitcs-10164	110	16	at	at	ADP
bitcs-10164	110	17	a	a	DET
bitcs-10164	110	18	training	training	NOUN
bitcs-10164	110	19	and	and	CCONJ
bitcs-10164	110	20	testing	testing	NOUN
bitcs-10164	110	21	ratio	ratio	NOUN
bitcs-10164	110	22	of	of	ADP
bitcs-10164	110	23	80:20	80:20	NUM
bitcs-10164	110	24	,	,	PUNCT
bitcs-10164	110	25	followed	follow	VERB
bitcs-10164	110	26	by	by	ADP
bitcs-10164	110	27	the	the	DET
bitcs-10164	110	28	linear	linear	ADJ
bitcs-10164	110	29	kernel	kernel	NOUN
bitcs-10164	110	30	(	(	PUNCT
bitcs-10164	110	31	84.44	84.44	NUM
bitcs-10164	110	32	%	%	NOUN
bitcs-10164	110	33	)	)	PUNCT
bitcs-10164	110	34	and	and	CCONJ
bitcs-10164	110	35	gaussian	gaussian	NOUN
bitcs-10164	110	36	(	(	PUNCT
bitcs-10164	110	37	79.89	79.89	NUM
bitcs-10164	110	38	%	%	NOUN
bitcs-10164	110	39	)	)	PUNCT
bitcs-10164	110	40	.	.	PUNCT
bitcs-10164	111	1	glcm	glcm	PROPN
bitcs-10164	111	2	and	and	CCONJ
bitcs-10164	111	3	rgb	rgb	PROPN
bitcs-10164	111	4	-	-	PUNCT
bitcs-10164	111	5	based	base	VERB
bitcs-10164	111	6	feature	feature	NOUN
bitcs-10164	111	7	extraction	extraction	NOUN
bitcs-10164	111	8	proved	prove	VERB
bitcs-10164	111	9	effective	effective	ADJ
bitcs-10164	111	10	in	in	ADP
bitcs-10164	111	11	supporting	support	VERB
bitcs-10164	111	12	model	model	NOUN
bitcs-10164	111	13	performance	performance	NOUN
bitcs-10164	111	14	through	through	ADP
bitcs-10164	111	15	leaf	leaf	NOUN
bitcs-10164	111	16	texture	texture	NOUN
bitcs-10164	111	17	and	and	CCONJ
bitcs-10164	111	18	color	color	NOUN
bitcs-10164	111	19	analysis	analysis	NOUN
bitcs-10164	111	20	.	.	PUNCT
bitcs-10164	112	1	references	reference	NOUN
bitcs-10164	112	2	[	[	X
bitcs-10164	112	3	1	1	X
bitcs-10164	112	4	]	]	PUNCT
bitcs-10164	112	5	s.	s.	PROPN
bitcs-10164	112	6	sulistiyanto	sulistiyanto	PROPN
bitcs-10164	112	7	,	,	PUNCT
bitcs-10164	112	8	ta	ta	AUX
bitcs-10164	112	9	saputri	saputri	PROPN
bitcs-10164	112	10	,	,	PUNCT
bitcs-10164	112	11	and	and	CCONJ
bitcs-10164	112	12	n.	n.	NOUN
bitcs-10164	112	13	noviyanti	noviyanti	PROPN
bitcs-10164	112	14	,	,	PUNCT
bitcs-10164	112	15	“	"	PUNCT
bitcs-10164	112	16	early	early	ADJ
bitcs-10164	112	17	detection	detection	NOUN
bitcs-10164	112	18	of	of	ADP
bitcs-10164	112	19	rice	rice	NOUN
bitcs-10164	112	20	pests	pest	NOUN
bitcs-10164	112	21	and	and	CCONJ
bitcs-10164	112	22	diseases	disease	NOUN
bitcs-10164	112	23	using	use	VERB
bitcs-10164	112	24	the	the	DET
bitcs-10164	112	25	certainty	certainty	NOUN
bitcs-10164	112	26	factor	factor	NOUN
bitcs-10164	112	27	method	method	NOUN
bitcs-10164	112	28	,	,	PUNCT
bitcs-10164	112	29	”	"	PUNCT
bitcs-10164	112	30	jurikom	jurikom	NOUN
bitcs-10164	112	31	(	(	PUNCT
bitcs-10164	112	32	jurnal	jurnal	ADJ
bitcs-10164	112	33	ris	ris	PROPN
bitcs-10164	112	34	.	.	PUNCT
bitcs-10164	112	35	komputer	komputer	PROPN
bitcs-10164	112	36	)	)	PUNCT
bitcs-10164	112	37	,	,	PUNCT
bitcs-10164	112	38	vol	vol	NOUN
bitcs-10164	112	39	.	.	PROPN
bitcs-10164	112	40	9	9	NUM
bitcs-10164	112	41	,	,	PUNCT
bitcs-10164	112	42	no	no	INTJ
bitcs-10164	112	43	.	.	NOUN
bitcs-10164	112	44	1	1	NUM
bitcs-10164	112	45	,	,	PUNCT
bitcs-10164	112	46	p.	p.	NOUN
bitcs-10164	112	47	48	48	NUM
bitcs-10164	112	48	,	,	PUNCT
bitcs-10164	112	49	2022	2022	NUM
bitcs-10164	112	50	,	,	PUNCT
bitcs-10164	112	51	doi	doi	NOUN
bitcs-10164	112	52	:	:	PUNCT
bitcs-10164	112	53	10.30865	10.30865	NUM
bitcs-10164	112	54	/	/	SYM
bitcs-10164	112	55	jurikom.v9i1.3778	jurikom.v9i1.3778	NUM
bitcs-10164	112	56	.	.	PUNCT
bitcs-10164	113	1	[	[	X
bitcs-10164	113	2	2	2	NUM
bitcs-10164	113	3	]	]	PUNCT
bitcs-10164	113	4	ulfah	ulfah	PROPN
bitcs-10164	113	5	nur	nur	PROPN
bitcs-10164	113	6	oktaviana	oktaviana	PROPN
bitcs-10164	113	7	,	,	PUNCT
bitcs-10164	113	8	ricky	ricky	PROPN
bitcs-10164	113	9	hendrawan	hendrawan	PROPN
bitcs-10164	113	10	,	,	PUNCT
bitcs-10164	113	11	alfian	alfian	PROPN
bitcs-10164	113	12	dwi	dwi	PROPN
bitcs-10164	113	13	khoirul	khoirul	PROPN
bitcs-10164	113	14	annas	annas	PROPN
bitcs-10164	113	15	,	,	PUNCT
bitcs-10164	113	16	and	and	CCONJ
bitcs-10164	113	17	galih	galih	ADJ
bitcs-10164	113	18	wasis	wasis	NOUN
bitcs-10164	113	19	wicaksono	wicaksono	NOUN
bitcs-10164	113	20	,	,	PUNCT
bitcs-10164	113	21	“	"	PUNCT
bitcs-10164	113	22	rice	rice	NOUN
bitcs-10164	113	23	disease	disease	NOUN
bitcs-10164	113	24	classification	classification	NOUN
bitcs-10164	113	25	based	base	VERB
bitcs-10164	113	26	on	on	ADP
bitcs-10164	113	27	leaf	leaf	NOUN
bitcs-10164	113	28	images	image	NOUN
bitcs-10164	113	29	using	use	VERB
bitcs-10164	113	30	resnet101	resnet101	PROPN
bitcs-10164	113	31	trained	train	VERB
bitcs-10164	113	32	model	model	NOUN
bitcs-10164	113	33	,	,	PUNCT
bitcs-10164	113	34	”	"	PUNCT
bitcs-10164	113	35	j.	j.	PROPN
bitcs-10164	113	36	resti	resti	PROPN
bitcs-10164	113	37	(	(	PUNCT
bitcs-10164	113	38	information	information	NOUN
bitcs-10164	113	39	systems	system	NOUN
bitcs-10164	113	40	and	and	CCONJ
bitcs-10164	113	41	technology	technology	NOUN
bitcs-10164	113	42	engineering	engineering	NOUN
bitcs-10164	113	43	)	)	PUNCT
bitcs-10164	113	44	,	,	PUNCT
bitcs-10164	113	45	vol	vol	NOUN
bitcs-10164	113	46	.	.	PROPN
bitcs-10164	113	47	5	5	NUM
bitcs-10164	113	48	,	,	PUNCT
bitcs-10164	113	49	no	no	INTJ
bitcs-10164	113	50	.	.	NOUN
bitcs-10164	113	51	6	6	NUM
bitcs-10164	113	52	,	,	PUNCT
bitcs-10164	113	53	pp	pp	ADJ
bitcs-10164	113	54	.	.	PUNCT
bitcs-10164	113	55	1216	1216	NUM
bitcs-10164	113	56	–	–	PUNCT
bitcs-10164	113	57	1222	1222	NUM
bitcs-10164	113	58	,	,	PUNCT
bitcs-10164	113	59	2021	2021	NUM
bitcs-10164	113	60	,	,	PUNCT
bitcs-10164	113	61	doi	doi	NOUN
bitcs-10164	113	62	:	:	PUNCT
bitcs-10164	113	63	10.29207	10.29207	NUM
bitcs-10164	113	64	/	/	SYM
bitcs-10164	113	65	resti.v5i6.3607	resti.v5i6.3607	ADJ
bitcs-10164	113	66	.	.	PUNCT
bitcs-10164	114	1	[	[	X
bitcs-10164	114	2	3	3	NUM
bitcs-10164	114	3	]	]	X
bitcs-10164	114	4	m.	m.	NOUN
bitcs-10164	114	5	khoiruddin	khoiruddin	PROPN
bitcs-10164	114	6	,	,	PUNCT
bitcs-10164	114	7	a.	a.	NOUN
bitcs-10164	114	8	junaidi	junaidi	PROPN
bitcs-10164	114	9	,	,	PUNCT
bitcs-10164	114	10	and	and	CCONJ
bitcs-10164	114	11	wa	wa	PROPN
bitcs-10164	114	12	saputra	saputra	PROPN
bitcs-10164	114	13	,	,	PUNCT
bitcs-10164	114	14	“	"	PUNCT
bitcs-10164	114	15	rice	rice	NOUN
bitcs-10164	114	16	leaf	leaf	NOUN
bitcs-10164	114	17	disease	disease	NOUN
bitcs-10164	114	18	classification	classification	NOUN
bitcs-10164	114	19	using	use	VERB
bitcs-10164	114	20	convolutional	convolutional	ADJ
bitcs-10164	114	21	neural	neural	ADJ
bitcs-10164	114	22	network	network	NOUN
bitcs-10164	114	23	,	,	PUNCT
bitcs-10164	114	24	”	"	PUNCT
bitcs-10164	114	25	j.	j.	PROPN
bitcs-10164	114	26	dinda	dinda	PROPN
bitcs-10164	114	27	data	data	PROPN
bitcs-10164	114	28	sci	sci	PROPN
bitcs-10164	114	29	.	.	PROPN
bitcs-10164	114	30	inf	inf	PROPN
bitcs-10164	115	1	.	.	PUNCT
bitcs-10164	115	2	technol	technol	PROPN
bitcs-10164	115	3	.	.	PUNCT
bitcs-10164	116	1	data	data	PROPN
bitcs-10164	116	2	anal	anal	PROPN
bitcs-10164	116	3	.	.	PUNCT
bitcs-10164	117	1	,	,	PUNCT
bitcs-10164	117	2	vol	vol	NOUN
bitcs-10164	117	3	.	.	PROPN
bitcs-10164	118	1	2	2	NUM
bitcs-10164	118	2	,	,	PUNCT
bitcs-10164	118	3	no	no	INTJ
bitcs-10164	118	4	.	.	NOUN
bitcs-10164	118	5	1	1	NUM
bitcs-10164	118	6	,	,	PUNCT
bitcs-10164	118	7	pp	pp	ADJ
bitcs-10164	118	8	.	.	PUNCT
bitcs-10164	119	1	37–45	37–45	NUM
bitcs-10164	119	2	,	,	PUNCT
bitcs-10164	119	3	2022	2022	NUM
bitcs-10164	119	4	,	,	PUNCT
bitcs-10164	119	5	doi	doi	NOUN
bitcs-10164	119	6	:	:	PUNCT
bitcs-10164	119	7	10.20895	10.20895	NUM
bitcs-10164	119	8	/	/	SYM
bitcs-10164	119	9	dinda.v2i1.341	dinda.v2i1.341	PROPN
bitcs-10164	119	10	.	.	PUNCT
bitcs-10164	120	1	[	[	X
bitcs-10164	120	2	4	4	NUM
bitcs-10164	120	3	]	]	PUNCT
bitcs-10164	120	4	r.	r.	PROPN
bitcs-10164	120	5	naa	naa	PROPN
bitcs-10164	120	6	et	et	PROPN
bitcs-10164	120	7	al	al	PROPN
bitcs-10164	120	8	.	.	PROPN
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bitcs-10164	120	16	motifs	motif	NOUN
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bitcs-10164	120	18	the	the	DET
bitcs-10164	120	19	support	support	NOUN
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bitcs-10164	120	21	machine	machine	NOUN
bitcs-10164	120	22	(	(	PUNCT
bitcs-10164	120	23	svm	svm	ADJ
bitcs-10164	120	24	)	)	PUNCT
bitcs-10164	120	25	1,2	1,2	NUM
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bitcs-10164	120	36	,	,	PUNCT
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bitcs-10164	121	3	]	]	PUNCT
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bitcs-10164	121	8	bacterial	bacterial	ADJ
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bitcs-10164	121	10	blight	blight	NOUN
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bitcs-10164	121	12	,	,	PUNCT
bitcs-10164	121	13	”	"	PUNCT
bitcs-10164	121	14	bbpp	bbpp	X
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bitcs-10164	122	6	,	,	PUNCT
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bitcs-10164	122	8	.	.	PUNCT
bitcs-10164	123	1	[	[	X
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bitcs-10164	123	3	]	]	X
bitcs-10164	123	4	.	.	PUNCT
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bitcs-10164	124	2	:	:	PUNCT
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bitcs-10164	125	1	[	[	X
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bitcs-10164	125	3	]	]	PUNCT
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bitcs-10164	125	26	,	,	PUNCT
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bitcs-10164	125	31	,	,	PUNCT
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bitcs-10164	125	37	.	.	PUNCT
bitcs-10164	126	1	401–408	401–408	NUM
bitcs-10164	126	2	,	,	PUNCT
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bitcs-10164	127	13	using	use	VERB
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bitcs-10164	127	20	(	(	PUNCT
bitcs-10164	127	21	glcm	glcm	PROPN
bitcs-10164	127	22	)	)	PUNCT
bitcs-10164	127	23	and	and	CCONJ
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bitcs-10164	127	25	vector	vector	NOUN
bitcs-10164	127	26	machine	machine	NOUN
bitcs-10164	127	27	(	(	PUNCT
bitcs-10164	127	28	svm	svm	PROPN
bitcs-10164	127	29	)	)	PUNCT
bitcs-10164	127	30	,	,	PUNCT
bitcs-10164	127	31	”	"	PUNCT
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bitcs-10164	128	1	and	and	CCONJ
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bitcs-10164	129	1	,	,	PUNCT
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bitcs-10164	130	1	08–16	08–16	NOUN
bitcs-10164	130	2	,	,	PUNCT
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bitcs-10164	130	4	,	,	PUNCT
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bitcs-10164	130	10	.	.	PUNCT
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bitcs-10164	131	7	soffiana	soffiana	PROPN
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bitcs-10164	131	9	,	,	PUNCT
bitcs-10164	131	10	“	"	PUNCT
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bitcs-10164	131	12	of	of	ADP
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bitcs-10164	131	14	leaf	leaf	NOUN
bitcs-10164	131	15	diseases	disease	NOUN
bitcs-10164	131	16	using	use	VERB
bitcs-10164	131	17	rgb	rgb	PROPN
bitcs-10164	131	18	color	color	NOUN
bitcs-10164	131	19	feature	feature	NOUN
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bitcs-10164	131	21	,	,	PUNCT
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bitcs-10164	131	25	.	.	PUNCT
bitcs-10164	132	1	tech	tech	NOUN
bitcs-10164	132	2	.	.	PUNCT
bitcs-10164	133	1	inform	inform	NOUN
bitcs-10164	133	2	.	.	PUNCT
bitcs-10164	134	1	and	and	CCONJ
bitcs-10164	134	2	jar	jar	NOUN
bitcs-10164	134	3	.	.	PUNCT
bitcs-10164	134	4	,	,	PUNCT
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bitcs-10164	135	1	2	2	NUM
bitcs-10164	135	2	,	,	PUNCT
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bitcs-10164	135	4	.	.	NOUN
bitcs-10164	135	5	3	3	NUM
bitcs-10164	135	6	,	,	PUNCT
bitcs-10164	135	7	pp	pp	ADJ
bitcs-10164	135	8	.	.	PUNCT
bitcs-10164	136	1	147–156	147–156	NUM
bitcs-10164	136	2	,	,	PUNCT
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bitcs-10164	136	4	,	,	PUNCT
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bitcs-10164	137	2	9	9	NUM
bitcs-10164	137	3	]	]	PUNCT
bitcs-10164	137	4	c.	c.	PROPN
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bitcs-10164	137	6	,	,	PUNCT
bitcs-10164	137	7	h.	h.	PROPN
bitcs-10164	137	8	irsyad	irsyad	PROPN
bitcs-10164	137	9	,	,	PUNCT
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bitcs-10164	137	11	w.	w.	PROPN
bitcs-10164	137	12	widhiarso	widhiarso	PROPN
bitcs-10164	137	13	,	,	PUNCT
bitcs-10164	137	14	“	"	PUNCT
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bitcs-10164	137	16	classification	classification	NOUN
bitcs-10164	137	17	using	use	VERB
bitcs-10164	137	18	k	k	NOUN
bitcs-10164	137	19	-	-	PUNCT
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bitcs-10164	137	21	neighbor	neighbor	NOUN
bitcs-10164	137	22	method	method	NOUN
bitcs-10164	137	23	with	with	ADP
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bitcs-10164	137	26	,	,	PUNCT
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bitcs-10164	138	1	,	,	PUNCT
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bitcs-10164	139	6	,	,	PUNCT
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bitcs-10164	140	2	,	,	PUNCT
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bitcs-10164	140	14	77	77	NUM
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bitcs-10164	141	2	10	10	NUM
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bitcs-10164	141	28	,	,	PUNCT
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bitcs-10164	141	30	.	.	PUNCT
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bitcs-10164	142	4	,	,	PUNCT
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bitcs-10164	142	6	.	.	PUNCT
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bitcs-10164	143	2	11	11	NUM
bitcs-10164	143	3	]	]	X
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bitcs-10164	144	5	dan	dan	PROPN
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bitcs-10164	144	13	.	.	PUNCT
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bitcs-10164	145	11	10(1	10(1	NUM
bitcs-10164	145	12	)	)	PUNCT
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bitcs-10164	146	3	]	]	PUNCT
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bitcs-10164	146	5	,	,	PUNCT
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bitcs-10164	146	11	s.	s.	PROPN
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bitcs-10164	146	15	)	)	PUNCT
bitcs-10164	146	16	.	.	PUNCT
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bitcs-10164	147	4	ulasan	ulasan	PROPN
bitcs-10164	147	5	aplikasi	aplikasi	PROPN
bitcs-10164	147	6	alfagift	alfagift	PROPN
bitcs-10164	147	7	menggunakan	menggunakan	PROPN
bitcs-10164	147	8	algoritma	algoritma	PROPN
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bitcs-10164	147	10	short	short	ADJ
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bitcs-10164	147	13	.	.	PUNCT
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bitcs-10164	148	2	:	:	PUNCT
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bitcs-10164	148	10	4(2	4(2	NUM
bitcs-10164	148	11	)	)	PUNCT
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bitcs-10164	148	14	-	-	SYM
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bitcs-10164	149	15	,	,	PUNCT
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bitcs-10164	149	17	l.	l.	PROPN
bitcs-10164	149	18	,	,	PUNCT
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bitcs-10164	149	20	,	,	PUNCT
bitcs-10164	149	21	a.	a.	NOUN
bitcs-10164	149	22	,	,	PUNCT
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bitcs-10164	149	26	a.	a.	PROPN
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bitcs-10164	149	30	)	)	PUNCT
bitcs-10164	149	31	.	.	PUNCT
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bitcs-10164	150	2	backbone	backbone	NOUN
bitcs-10164	150	3	based	base	VERB
bitcs-10164	150	4	approach	approach	NOUN
bitcs-10164	150	5	for	for	ADP
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bitcs-10164	150	10	mushrooms	mushroom	NOUN
bitcs-10164	150	11	(	(	PUNCT
bitcs-10164	150	12	volvariella	volvariella	NOUN
bitcs-10164	150	13	volvacea	volvacea	NOUN
bitcs-10164	150	14	)	)	PUNCT
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bitcs-10164	150	16	convolutional	convolutional	ADJ
bitcs-10164	150	17	neural	neural	ADJ
bitcs-10164	150	18	networks	network	NOUN
bitcs-10164	150	19	(	(	PUNCT
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bitcs-10164	150	21	)	)	PUNCT
bitcs-10164	150	22	.	.	PUNCT
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bitcs-10164	151	2	:	:	PUNCT
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bitcs-10164	151	4	journal	journal	NOUN
bitcs-10164	151	5	on	on	ADP
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bitcs-10164	151	7	visualization	visualization	NOUN
bitcs-10164	151	8	,	,	PUNCT
bitcs-10164	151	9	8(3	8(3	NUM
bitcs-10164	151	10	-	-	SYM
bitcs-10164	151	11	2	2	NUM
bitcs-10164	151	12	)	)	PUNCT
bitcs-10164	151	13	,	,	PUNCT
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bitcs-10164	151	15	-	-	SYM
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bitcs-10164	151	17	.	.	PUNCT
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bitcs-10164	152	2	14	14	NUM
bitcs-10164	152	3	]	]	X
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bitcs-10164	152	5	,	,	PUNCT
bitcs-10164	152	6	s.	s.	PROPN
bitcs-10164	152	7	a.	a.	PROPN
bitcs-10164	152	8	,	,	PUNCT
bitcs-10164	152	9	priyatna	priyatna	PROPN
bitcs-10164	152	10	,	,	PUNCT
bitcs-10164	152	11	b.	b.	PROPN
bitcs-10164	152	12	,	,	PUNCT
bitcs-10164	152	13	&	&	CCONJ
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bitcs-10164	152	15	,	,	PUNCT
bitcs-10164	152	16	a.	a.	NOUN
bitcs-10164	152	17	(	(	PUNCT
bitcs-10164	152	18	2025	2025	NUM
bitcs-10164	152	19	)	)	PUNCT
bitcs-10164	152	20	.	.	PUNCT
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bitcs-10164	153	2	kinerja	kinerja	PROPN
bitcs-10164	153	3	model	model	PROPN
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bitcs-10164	153	5	bayes	bayes	NOUN
bitcs-10164	153	6	,	,	PUNCT
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bitcs-10164	153	8	,	,	PUNCT
bitcs-10164	153	9	dan	dan	PROPN
bitcs-10164	153	10	bert	bert	PROPN
bitcs-10164	153	11	dalam	dalam	PROPN
bitcs-10164	153	12	klasifikasi	klasifikasi	PROPN
bitcs-10164	153	13	sentimen	sentimen	PROPN
bitcs-10164	153	14	ulasan	ulasan	PROPN
bitcs-10164	153	15	pada	pada	PROPN
bitcs-10164	153	16	aplikasi	aplikasi	PROPN
bitcs-10164	153	17	yummy	yummy	ADJ
bitcs-10164	153	18	.	.	PUNCT
bitcs-10164	154	1	storage	storage	NOUN
bitcs-10164	154	2	:	:	PUNCT
bitcs-10164	154	3	jurnal	jurnal	ADJ
bitcs-10164	154	4	ilmiah	ilmiah	PROPN
bitcs-10164	154	5	teknik	teknik	NOUN
bitcs-10164	154	6	dan	dan	PROPN
bitcs-10164	154	7	ilmu	ilmu	PROPN
bitcs-10164	154	8	komputer	komputer	PROPN
bitcs-10164	154	9	,	,	PUNCT
bitcs-10164	154	10	4(2	4(2	NUM
bitcs-10164	154	11	)	)	PUNCT
bitcs-10164	154	12	,	,	PUNCT
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bitcs-10164	154	14	-	-	SYM
bitcs-10164	154	15	47	47	NUM
bitcs-10164	154	16	.	.	PUNCT
bitcs-10164	155	1	[	[	X
bitcs-10164	155	2	15	15	NUM
bitcs-10164	155	3	]	]	X
bitcs-10164	155	4	hananto	hananto	NOUN
bitcs-10164	155	5	,	,	PUNCT
bitcs-10164	155	6	a.	a.	PROPN
bitcs-10164	155	7	l.	l.	PROPN
bitcs-10164	155	8	,	,	PUNCT
bitcs-10164	155	9	hananto	hananto	PROPN
bitcs-10164	155	10	,	,	PUNCT
bitcs-10164	155	11	a.	a.	PROPN
bitcs-10164	155	12	,	,	PUNCT
bitcs-10164	155	13	huda	huda	PROPN
bitcs-10164	155	14	,	,	PUNCT
bitcs-10164	155	15	b.	b.	PROPN
bitcs-10164	155	16	,	,	PUNCT
bitcs-10164	155	17	rahman	rahman	PROPN
bitcs-10164	155	18	,	,	PUNCT
bitcs-10164	155	19	a.	a.	NOUN
bitcs-10164	155	20	y.	y.	PROPN
bitcs-10164	155	21	,	,	PUNCT
bitcs-10164	155	22	novalia	novalia	PROPN
bitcs-10164	155	23	,	,	PUNCT
bitcs-10164	155	24	e.	e.	PROPN
bitcs-10164	155	25	,	,	PUNCT
bitcs-10164	155	26	&	&	CCONJ
bitcs-10164	155	27	priyatna	priyatna	PROPN
bitcs-10164	155	28	,	,	PUNCT
bitcs-10164	155	29	b.	b.	PROPN
bitcs-10164	155	30	(	(	PUNCT
bitcs-10164	155	31	2024	2024	NUM
bitcs-10164	155	32	)	)	PUNCT
bitcs-10164	155	33	.	.	PUNCT
bitcs-10164	156	1	determination	determination	NOUN
bitcs-10164	156	2	of	of	ADP
bitcs-10164	156	3	training	training	NOUN
bitcs-10164	156	4	participants	participant	NOUN
bitcs-10164	156	5	in	in	ADP
bitcs-10164	156	6	community	community	NOUN
bitcs-10164	156	7	work	work	NOUN
bitcs-10164	156	8	training	training	NOUN
bitcs-10164	156	9	centers	center	NOUN
bitcs-10164	156	10	using	use	VERB
bitcs-10164	156	11	the	the	DET
bitcs-10164	156	12	naïve	naïve	ADJ
bitcs-10164	156	13	bayes	bayes	NOUN
bitcs-10164	156	14	classifier	classifier	PROPN
bitcs-10164	156	15	algorithm	algorithm	PROPN
bitcs-10164	156	16	.	.	PUNCT
bitcs-10164	157	1	joiv	joiv	PROPN
bitcs-10164	157	2	:	:	PUNCT
bitcs-10164	157	3	international	international	ADJ
bitcs-10164	157	4	journal	journal	NOUN
bitcs-10164	157	5	on	on	ADP
bitcs-10164	157	6	informatics	informatics	PROPN
bitcs-10164	157	7	visualization	visualization	NOUN
bitcs-10164	157	8	,	,	PUNCT
bitcs-10164	157	9	8(3	8(3	NUM
bitcs-10164	157	10	)	)	PUNCT
bitcs-10164	157	11	,	,	PUNCT
bitcs-10164	157	12	1162	1162	NUM
bitcs-10164	157	13	-	-	SYM
bitcs-10164	157	14	1167	1167	NUM
bitcs-10164	157	15	.	.	PUNCT