id	sid	tid	token	lemma	pos
aiti-8364	1	1	microsoft	microsoft	PROPN
aiti-8364	1	2	word	word	NOUN
aiti-8364	1	3	3	3	NUM
aiti-8364	1	4	-	-	SYM
aiti-8364	1	5	v8n2(2023)-aiti#8364(111	v8n2(2023)-aiti#8364(111	NUM
aiti-8364	1	6	-	-	PUNCT
aiti-8364	1	7	120).docx	120).docx	NUM
aiti-8364	1	8	advances	advance	NOUN
aiti-8364	1	9	in	in	ADP
aiti-8364	1	10	technology	technology	NOUN
aiti-8364	1	11	innovation	innovation	NOUN
aiti-8364	1	12	,	,	PUNCT
aiti-8364	1	13	vol	vol	NOUN
aiti-8364	1	14	.	.	PROPN
aiti-8364	1	15	8	8	NUM
aiti-8364	1	16	,	,	PUNCT
aiti-8364	1	17	no	no	INTJ
aiti-8364	1	18	.	.	NOUN
aiti-8364	1	19	2	2	NUM
aiti-8364	1	20	,	,	PUNCT
aiti-8364	1	21	2023	2023	NUM
aiti-8364	1	22	,	,	PUNCT
aiti-8364	1	23	pp	pp	ADJ
aiti-8364	1	24	.	.	PUNCT
aiti-8364	2	1	111	111	NUM
aiti-8364	2	2	-	-	SYM
aiti-8364	2	3	120	120	NUM
aiti-8364	2	4	short	short	ADJ
aiti-8364	2	5	-	-	PUNCT
aiti-8364	2	6	term	term	NOUN
aiti-8364	2	7	rainfall	rainfall	NOUN
aiti-8364	2	8	prediction	prediction	NOUN
aiti-8364	2	9	using	use	VERB
aiti-8364	2	10	supervised	supervised	ADJ
aiti-8364	2	11	machine	machine	NOUN
aiti-8364	2	12	learning	learning	NOUN
aiti-8364	2	13	nusrat	nusrat	PROPN
aiti-8364	2	14	jahan	jahan	PROPN
aiti-8364	2	15	prottasha1	prottasha1	PROPN
aiti-8364	2	16	,	,	PUNCT
aiti-8364	2	17	*	*	PROPN
aiti-8364	2	18	,	,	PUNCT
aiti-8364	2	19	anik	anik	PROPN
aiti-8364	2	20	tahabilder2	tahabilder2	PROPN
aiti-8364	2	21	,	,	PUNCT
aiti-8364	2	22	md	md	PROPN
aiti-8364	2	23	kowsher3	kowsher3	PROPN
aiti-8364	2	24	,	,	PUNCT
aiti-8364	2	25	md	md	PROPN
aiti-8364	2	26	shanon	shanon	PROPN
aiti-8364	2	27	mia1	mia1	PROPN
aiti-8364	2	28	,	,	PUNCT
aiti-8364	2	29	khadiza	khadiza	PROPN
aiti-8364	2	30	tul	tul	PROPN
aiti-8364	2	31	kobra1	kobra1	PROPN
aiti-8364	3	1	1department	1department	NUM
aiti-8364	3	2	of	of	ADP
aiti-8364	3	3	computer	computer	NOUN
aiti-8364	3	4	science	science	NOUN
aiti-8364	3	5	,	,	PUNCT
aiti-8364	3	6	daffodil	daffodil	ADJ
aiti-8364	3	7	international	international	ADJ
aiti-8364	3	8	university	university	NOUN
aiti-8364	3	9	,	,	PUNCT
aiti-8364	3	10	dhaka	dhaka	PROPN
aiti-8364	3	11	,	,	PUNCT
aiti-8364	3	12	bangladesh	bangladesh	PROPN
aiti-8364	3	13	2department	2department	NUM
aiti-8364	3	14	of	of	ADP
aiti-8364	3	15	computer	computer	NOUN
aiti-8364	3	16	science	science	NOUN
aiti-8364	3	17	,	,	PUNCT
aiti-8364	3	18	wayne	wayne	PROPN
aiti-8364	3	19	state	state	PROPN
aiti-8364	3	20	university	university	PROPN
aiti-8364	3	21	,	,	PUNCT
aiti-8364	3	22	detroit	detroit	PROPN
aiti-8364	3	23	,	,	PUNCT
aiti-8364	3	24	michigan	michigan	PROPN
aiti-8364	3	25	,	,	PUNCT
aiti-8364	3	26	usa	usa	PROPN
aiti-8364	3	27	3department	3department	NUM
aiti-8364	3	28	of	of	ADP
aiti-8364	3	29	computer	computer	NOUN
aiti-8364	3	30	science	science	NOUN
aiti-8364	3	31	,	,	PUNCT
aiti-8364	3	32	stevens	stevens	PROPN
aiti-8364	3	33	institute	institute	PROPN
aiti-8364	3	34	of	of	ADP
aiti-8364	3	35	technology	technology	PROPN
aiti-8364	3	36	,	,	PUNCT
aiti-8364	3	37	hoboken	hoboken	PROPN
aiti-8364	3	38	,	,	PUNCT
aiti-8364	3	39	new	new	PROPN
aiti-8364	3	40	jersey	jersey	PROPN
aiti-8364	3	41	,	,	PUNCT
aiti-8364	3	42	usa	usa	PROPN
aiti-8364	3	43	received	receive	VERB
aiti-8364	3	44	30	30	NUM
aiti-8364	3	45	august	august	PROPN
aiti-8364	3	46	2021	2021	NUM
aiti-8364	3	47	;	;	PUNCT
aiti-8364	3	48	received	receive	VERB
aiti-8364	3	49	in	in	ADP
aiti-8364	3	50	revised	revise	VERB
aiti-8364	3	51	form	form	NOUN
aiti-8364	3	52	16	16	NUM
aiti-8364	3	53	may	may	PROPN
aiti-8364	3	54	2022	2022	NUM
aiti-8364	3	55	;	;	PUNCT
aiti-8364	3	56	accepted	accept	VERB
aiti-8364	3	57	02	02	NUM
aiti-8364	3	58	june	june	PROPN
aiti-8364	3	59	2022	2022	NUM
aiti-8364	3	60	doi	doi	NOUN
aiti-8364	3	61	:	:	PUNCT
aiti-8364	3	62	https://doi.org/10.46604/aiti.2023.8364	https://doi.org/10.46604/aiti.2023.8364	VERB
aiti-8364	3	63	abstract	abstract	ADJ
aiti-8364	3	64	floods	flood	NOUN
aiti-8364	3	65	and	and	CCONJ
aiti-8364	3	66	rain	rain	NOUN
aiti-8364	3	67	significantly	significantly	ADV
aiti-8364	3	68	impact	impact	VERB
aiti-8364	3	69	the	the	DET
aiti-8364	3	70	economy	economy	NOUN
aiti-8364	3	71	of	of	ADP
aiti-8364	3	72	many	many	ADJ
aiti-8364	3	73	agricultural	agricultural	ADJ
aiti-8364	3	74	countries	country	NOUN
aiti-8364	3	75	in	in	ADP
aiti-8364	3	76	the	the	DET
aiti-8364	3	77	world	world	NOUN
aiti-8364	3	78	.	.	PUNCT
aiti-8364	4	1	early	early	ADJ
aiti-8364	4	2	prediction	prediction	NOUN
aiti-8364	4	3	of	of	ADP
aiti-8364	4	4	rain	rain	NOUN
aiti-8364	4	5	and	and	CCONJ
aiti-8364	4	6	floods	flood	NOUN
aiti-8364	4	7	can	can	AUX
aiti-8364	4	8	dramatically	dramatically	ADV
aiti-8364	4	9	help	help	VERB
aiti-8364	4	10	prevent	prevent	VERB
aiti-8364	4	11	natural	natural	ADJ
aiti-8364	4	12	disaster	disaster	NOUN
aiti-8364	4	13	damage	damage	NOUN
aiti-8364	4	14	.	.	PUNCT
aiti-8364	5	1	this	this	DET
aiti-8364	5	2	paper	paper	NOUN
aiti-8364	5	3	presents	present	VERB
aiti-8364	5	4	a	a	DET
aiti-8364	5	5	machine	machine	NOUN
aiti-8364	5	6	learning	learning	NOUN
aiti-8364	5	7	and	and	CCONJ
aiti-8364	5	8	data	data	NOUN
aiti-8364	5	9	-	-	PUNCT
aiti-8364	5	10	driven	drive	VERB
aiti-8364	5	11	method	method	NOUN
aiti-8364	5	12	that	that	PRON
aiti-8364	5	13	can	can	AUX
aiti-8364	5	14	accurately	accurately	ADV
aiti-8364	5	15	predict	predict	VERB
aiti-8364	5	16	short	short	ADJ
aiti-8364	5	17	-	-	PUNCT
aiti-8364	5	18	term	term	NOUN
aiti-8364	5	19	rainfall	rainfall	NOUN
aiti-8364	5	20	.	.	PUNCT
aiti-8364	6	1	various	various	ADJ
aiti-8364	6	2	machine	machine	NOUN
aiti-8364	6	3	learning	learn	VERB
aiti-8364	6	4	classification	classification	NOUN
aiti-8364	6	5	algorithms	algorithm	NOUN
aiti-8364	6	6	have	have	AUX
aiti-8364	6	7	been	be	AUX
aiti-8364	6	8	implemented	implement	VERB
aiti-8364	6	9	on	on	ADP
aiti-8364	6	10	an	an	DET
aiti-8364	6	11	australian	australian	ADJ
aiti-8364	6	12	weather	weather	NOUN
aiti-8364	6	13	dataset	dataset	VERB
aiti-8364	6	14	to	to	PART
aiti-8364	6	15	train	train	VERB
aiti-8364	6	16	and	and	CCONJ
aiti-8364	6	17	develop	develop	VERB
aiti-8364	6	18	an	an	DET
aiti-8364	6	19	accurate	accurate	ADJ
aiti-8364	6	20	and	and	CCONJ
aiti-8364	6	21	reliable	reliable	ADJ
aiti-8364	6	22	model	model	NOUN
aiti-8364	6	23	.	.	PUNCT
aiti-8364	7	1	to	to	PART
aiti-8364	7	2	choose	choose	VERB
aiti-8364	7	3	the	the	DET
aiti-8364	7	4	best	good	ADJ
aiti-8364	7	5	suitable	suitable	ADJ
aiti-8364	7	6	prediction	prediction	NOUN
aiti-8364	7	7	model	model	NOUN
aiti-8364	7	8	,	,	PUNCT
aiti-8364	7	9	diverse	diverse	ADJ
aiti-8364	7	10	machine	machine	NOUN
aiti-8364	7	11	learning	learning	NOUN
aiti-8364	7	12	algorithms	algorithm	NOUN
aiti-8364	7	13	have	have	AUX
aiti-8364	7	14	been	be	AUX
aiti-8364	7	15	applied	apply	VERB
aiti-8364	7	16	for	for	ADP
aiti-8364	7	17	classification	classification	NOUN
aiti-8364	7	18	as	as	ADV
aiti-8364	7	19	well	well	ADV
aiti-8364	7	20	.	.	PUNCT
aiti-8364	8	1	eventually	eventually	ADV
aiti-8364	8	2	,	,	PUNCT
aiti-8364	8	3	the	the	DET
aiti-8364	8	4	performance	performance	NOUN
aiti-8364	8	5	of	of	ADP
aiti-8364	8	6	the	the	DET
aiti-8364	8	7	models	model	NOUN
aiti-8364	8	8	has	have	AUX
aiti-8364	8	9	been	be	AUX
aiti-8364	8	10	compared	compare	VERB
aiti-8364	8	11	based	base	VERB
aiti-8364	8	12	on	on	ADP
aiti-8364	8	13	standard	standard	ADJ
aiti-8364	8	14	performance	performance	NOUN
aiti-8364	8	15	measurement	measurement	NOUN
aiti-8364	8	16	metrics	metric	NOUN
aiti-8364	8	17	.	.	PUNCT
aiti-8364	9	1	the	the	DET
aiti-8364	9	2	finding	finding	NOUN
aiti-8364	9	3	shows	show	VERB
aiti-8364	9	4	that	that	SCONJ
aiti-8364	9	5	the	the	DET
aiti-8364	9	6	hist	hist	PROPN
aiti-8364	9	7	gradient	gradient	NOUN
aiti-8364	9	8	boosting	boost	VERB
aiti-8364	9	9	classifier	classifier	NOUN
aiti-8364	9	10	has	have	AUX
aiti-8364	9	11	given	give	VERB
aiti-8364	9	12	the	the	DET
aiti-8364	9	13	highest	high	ADJ
aiti-8364	9	14	accuracy	accuracy	NOUN
aiti-8364	9	15	of	of	ADP
aiti-8364	9	16	91	91	NUM
aiti-8364	9	17	%	%	NOUN
aiti-8364	9	18	,	,	PUNCT
aiti-8364	9	19	with	with	ADP
aiti-8364	9	20	a	a	DET
aiti-8364	9	21	good	good	ADJ
aiti-8364	9	22	f1	f1	NOUN
aiti-8364	9	23	value	value	NOUN
aiti-8364	9	24	and	and	CCONJ
aiti-8364	9	25	receiver	receiver	NOUN
aiti-8364	9	26	operating	operate	VERB
aiti-8364	9	27	characteristic	characteristic	NOUN
aiti-8364	9	28	,	,	PUNCT
aiti-8364	9	29	the	the	DET
aiti-8364	9	30	area	area	NOUN
aiti-8364	9	31	under	under	ADP
aiti-8364	9	32	the	the	DET
aiti-8364	9	33	curve	curve	NOUN
aiti-8364	9	34	score	score	NOUN
aiti-8364	9	35	.	.	PUNCT
aiti-8364	10	1	keywords	keyword	NOUN
aiti-8364	10	2	:	:	PUNCT
aiti-8364	10	3	rain	rain	NOUN
aiti-8364	10	4	prediction	prediction	NOUN
aiti-8364	10	5	,	,	PUNCT
aiti-8364	10	6	machine	machine	NOUN
aiti-8364	10	7	learning	learning	NOUN
aiti-8364	10	8	,	,	PUNCT
aiti-8364	10	9	supervised	supervise	VERB
aiti-8364	10	10	classification	classification	NOUN
aiti-8364	10	11	,	,	PUNCT
aiti-8364	10	12	agriculture	agriculture	NOUN
aiti-8364	10	13	resource	resource	NOUN
aiti-8364	10	14	,	,	PUNCT
aiti-8364	10	15	crops	crop	NOUN
aiti-8364	10	16	yield	yield	VERB
aiti-8364	10	17	1	1	NUM
aiti-8364	10	18	.	.	PUNCT
aiti-8364	11	1	introduction	introduction	NOUN
aiti-8364	11	2	agriculture	agriculture	NOUN
aiti-8364	11	3	plays	play	VERB
aiti-8364	11	4	a	a	DET
aiti-8364	11	5	vital	vital	ADJ
aiti-8364	11	6	role	role	NOUN
aiti-8364	11	7	in	in	ADP
aiti-8364	11	8	the	the	DET
aiti-8364	11	9	development	development	NOUN
aiti-8364	11	10	of	of	ADP
aiti-8364	11	11	many	many	ADJ
aiti-8364	11	12	developing	develop	VERB
aiti-8364	11	13	countries	country	NOUN
aiti-8364	11	14	[	[	X
aiti-8364	11	15	1	1	NUM
aiti-8364	11	16	]	]	PUNCT
aiti-8364	11	17	.	.	PUNCT
aiti-8364	12	1	iot	iot	PROPN
aiti-8364	12	2	-	-	PUNCT
aiti-8364	12	3	based	base	VERB
aiti-8364	12	4	smart	smart	ADJ
aiti-8364	12	5	agriculture	agriculture	NOUN
aiti-8364	12	6	model	model	NOUN
aiti-8364	12	7	is	be	AUX
aiti-8364	12	8	being	be	AUX
aiti-8364	12	9	implemented	implement	VERB
aiti-8364	12	10	worldwide	worldwide	ADV
aiti-8364	12	11	to	to	PART
aiti-8364	12	12	increase	increase	VERB
aiti-8364	12	13	crop	crop	NOUN
aiti-8364	12	14	yields	yield	NOUN
aiti-8364	12	15	.	.	PUNCT
aiti-8364	13	1	the	the	DET
aiti-8364	13	2	use	use	NOUN
aiti-8364	13	3	of	of	ADP
aiti-8364	13	4	intelligent	intelligent	ADJ
aiti-8364	13	5	tools	tool	NOUN
aiti-8364	13	6	in	in	ADP
aiti-8364	13	7	farming	farming	NOUN
aiti-8364	13	8	can	can	AUX
aiti-8364	13	9	increase	increase	VERB
aiti-8364	13	10	the	the	DET
aiti-8364	13	11	production	production	NOUN
aiti-8364	13	12	of	of	ADP
aiti-8364	13	13	crops	crop	NOUN
aiti-8364	13	14	and	and	CCONJ
aiti-8364	13	15	also	also	ADV
aiti-8364	13	16	minimize	minimize	VERB
aiti-8364	13	17	the	the	DET
aiti-8364	13	18	damage	damage	NOUN
aiti-8364	13	19	due	due	ADP
aiti-8364	13	20	to	to	ADP
aiti-8364	13	21	disasters	disaster	NOUN
aiti-8364	13	22	.	.	PUNCT
aiti-8364	14	1	the	the	DET
aiti-8364	14	2	economy	economy	NOUN
aiti-8364	14	3	of	of	ADP
aiti-8364	14	4	south	south	ADJ
aiti-8364	14	5	asian	asian	ADJ
aiti-8364	14	6	countries	country	NOUN
aiti-8364	14	7	,	,	PUNCT
aiti-8364	14	8	including	include	VERB
aiti-8364	14	9	bangladesh	bangladesh	PROPN
aiti-8364	14	10	,	,	PUNCT
aiti-8364	14	11	india	india	PROPN
aiti-8364	14	12	,	,	PUNCT
aiti-8364	14	13	china	china	PROPN
aiti-8364	14	14	,	,	PUNCT
aiti-8364	14	15	and	and	CCONJ
aiti-8364	14	16	pakistan	pakistan	PROPN
aiti-8364	14	17	,	,	PUNCT
aiti-8364	14	18	depends	depend	VERB
aiti-8364	14	19	more	more	ADV
aiti-8364	14	20	on	on	ADP
aiti-8364	14	21	agriculture	agriculture	NOUN
aiti-8364	14	22	.	.	PUNCT
aiti-8364	15	1	but	but	CCONJ
aiti-8364	15	2	there	there	PRON
aiti-8364	15	3	are	be	VERB
aiti-8364	15	4	always	always	ADV
aiti-8364	15	5	some	some	DET
aiti-8364	15	6	natural	natural	ADJ
aiti-8364	15	7	disasters	disaster	NOUN
aiti-8364	15	8	,	,	PUNCT
aiti-8364	15	9	including	include	VERB
aiti-8364	15	10	rain	rain	NOUN
aiti-8364	15	11	and	and	CCONJ
aiti-8364	15	12	floods	flood	NOUN
aiti-8364	15	13	,	,	PUNCT
aiti-8364	15	14	that	that	PRON
aiti-8364	15	15	create	create	VERB
aiti-8364	15	16	huge	huge	ADJ
aiti-8364	15	17	demolition	demolition	NOUN
aiti-8364	15	18	of	of	ADP
aiti-8364	15	19	crops	crop	NOUN
aiti-8364	15	20	and	and	CCONJ
aiti-8364	15	21	property	property	NOUN
aiti-8364	15	22	.	.	PUNCT
aiti-8364	16	1	therefore	therefore	ADV
aiti-8364	16	2	,	,	PUNCT
aiti-8364	16	3	a	a	DET
aiti-8364	16	4	good	good	ADJ
aiti-8364	16	5	rain	rain	NOUN
aiti-8364	16	6	prediction	prediction	NOUN
aiti-8364	16	7	model	model	NOUN
aiti-8364	16	8	is	be	AUX
aiti-8364	16	9	necessary	necessary	ADJ
aiti-8364	16	10	to	to	PART
aiti-8364	16	11	forecast	forecast	VERB
aiti-8364	16	12	the	the	DET
aiti-8364	16	13	rain	rain	NOUN
aiti-8364	16	14	to	to	PART
aiti-8364	16	15	reduce	reduce	VERB
aiti-8364	16	16	the	the	DET
aiti-8364	16	17	risk	risk	NOUN
aiti-8364	16	18	to	to	ADP
aiti-8364	16	19	life	life	NOUN
aiti-8364	16	20	and	and	CCONJ
aiti-8364	16	21	also	also	ADV
aiti-8364	16	22	to	to	PART
aiti-8364	16	23	maintain	maintain	VERB
aiti-8364	16	24	the	the	DET
aiti-8364	16	25	agriculture	agriculture	NOUN
aiti-8364	16	26	farms	farm	NOUN
aiti-8364	16	27	in	in	ADP
aiti-8364	16	28	a	a	DET
aiti-8364	16	29	better	well	ADJ
aiti-8364	16	30	way	way	NOUN
aiti-8364	16	31	.	.	PUNCT
aiti-8364	17	1	in	in	ADP
aiti-8364	17	2	addition	addition	NOUN
aiti-8364	17	3	,	,	PUNCT
aiti-8364	17	4	a	a	DET
aiti-8364	17	5	rain	rain	NOUN
aiti-8364	17	6	prediction	prediction	NOUN
aiti-8364	17	7	model	model	NOUN
aiti-8364	17	8	helps	help	VERB
aiti-8364	17	9	farmers	farmer	NOUN
aiti-8364	17	10	take	take	VERB
aiti-8364	17	11	early	early	ADJ
aiti-8364	17	12	flood	flood	NOUN
aiti-8364	17	13	measurements	measurement	NOUN
aiti-8364	17	14	and	and	CCONJ
aiti-8364	17	15	properly	properly	ADV
aiti-8364	17	16	manage	manage	VERB
aiti-8364	17	17	water	water	NOUN
aiti-8364	17	18	resources	resource	NOUN
aiti-8364	17	19	.	.	PUNCT
aiti-8364	18	1	observing	observe	VERB
aiti-8364	18	2	the	the	DET
aiti-8364	18	3	significance	significance	NOUN
aiti-8364	18	4	of	of	ADP
aiti-8364	18	5	rain	rain	NOUN
aiti-8364	18	6	prediction	prediction	NOUN
aiti-8364	18	7	,	,	PUNCT
aiti-8364	18	8	researchers	researcher	NOUN
aiti-8364	18	9	have	have	AUX
aiti-8364	18	10	developed	develop	VERB
aiti-8364	18	11	a	a	DET
aiti-8364	18	12	lot	lot	NOUN
aiti-8364	18	13	of	of	ADP
aiti-8364	18	14	devices	device	NOUN
aiti-8364	18	15	to	to	PART
aiti-8364	18	16	predict	predict	VERB
aiti-8364	18	17	rainfall	rainfall	NOUN
aiti-8364	18	18	,	,	PUNCT
aiti-8364	18	19	but	but	CCONJ
aiti-8364	18	20	none	none	NOUN
aiti-8364	18	21	of	of	ADP
aiti-8364	18	22	them	they	PRON
aiti-8364	18	23	is	be	AUX
aiti-8364	18	24	worth	worth	ADJ
aiti-8364	18	25	noting	note	VERB
aiti-8364	18	26	in	in	ADP
aiti-8364	18	27	terms	term	NOUN
aiti-8364	18	28	of	of	ADP
aiti-8364	18	29	short	short	ADJ
aiti-8364	18	30	-	-	PUNCT
aiti-8364	18	31	term	term	NOUN
aiti-8364	18	32	rain	rain	NOUN
aiti-8364	18	33	prediction	prediction	NOUN
aiti-8364	18	34	.	.	PUNCT
aiti-8364	19	1	hence	hence	ADV
aiti-8364	19	2	,	,	PUNCT
aiti-8364	19	3	it	it	PRON
aiti-8364	19	4	has	have	AUX
aiti-8364	19	5	not	not	PART
aiti-8364	19	6	been	be	AUX
aiti-8364	19	7	adopted	adopt	VERB
aiti-8364	19	8	eventually	eventually	ADV
aiti-8364	19	9	by	by	ADP
aiti-8364	19	10	the	the	DET
aiti-8364	19	11	end	end	NOUN
aiti-8364	19	12	-	-	PUNCT
aiti-8364	19	13	level	level	NOUN
aiti-8364	19	14	user	user	NOUN
aiti-8364	19	15	to	to	PART
aiti-8364	19	16	forecast	forecast	VERB
aiti-8364	19	17	the	the	DET
aiti-8364	19	18	rain	rain	NOUN
aiti-8364	19	19	situation	situation	NOUN
aiti-8364	19	20	.	.	PUNCT
aiti-8364	20	1	however	however	ADV
aiti-8364	20	2	,	,	PUNCT
aiti-8364	20	3	machine	machine	NOUN
aiti-8364	20	4	learning	learn	VERB
aiti-8364	20	5	techniques	technique	NOUN
aiti-8364	20	6	can	can	AUX
aiti-8364	20	7	make	make	VERB
aiti-8364	20	8	a	a	DET
aiti-8364	20	9	more	more	ADV
aiti-8364	20	10	accurate	accurate	ADJ
aiti-8364	20	11	prediction	prediction	NOUN
aiti-8364	20	12	because	because	SCONJ
aiti-8364	20	13	of	of	ADP
aiti-8364	20	14	their	their	PRON
aiti-8364	20	15	underlying	underlie	VERB
aiti-8364	20	16	technology	technology	NOUN
aiti-8364	20	17	.	.	PUNCT
aiti-8364	21	1	researchers	researcher	NOUN
aiti-8364	21	2	have	have	AUX
aiti-8364	21	3	implemented	implement	VERB
aiti-8364	21	4	neural	neural	ADJ
aiti-8364	21	5	networks	network	NOUN
aiti-8364	21	6	(	(	PUNCT
aiti-8364	21	7	nn	nn	NOUN
aiti-8364	21	8	)	)	PUNCT
aiti-8364	21	9	in	in	ADP
aiti-8364	21	10	rainfall	rainfall	NOUN
aiti-8364	21	11	prediction	prediction	NOUN
aiti-8364	21	12	and	and	CCONJ
aiti-8364	21	13	showed	show	VERB
aiti-8364	21	14	that	that	SCONJ
aiti-8364	21	15	the	the	DET
aiti-8364	21	16	nn	nn	PROPN
aiti-8364	21	17	-	-	PUNCT
aiti-8364	21	18	based	base	VERB
aiti-8364	21	19	model	model	NOUN
aiti-8364	21	20	usually	usually	ADV
aiti-8364	21	21	exceeds	exceed	VERB
aiti-8364	21	22	the	the	DET
aiti-8364	21	23	performance	performance	NOUN
aiti-8364	21	24	of	of	ADP
aiti-8364	21	25	the	the	DET
aiti-8364	21	26	numerical	numerical	PROPN
aiti-8364	21	27	weather	weather	PROPN
aiti-8364	21	28	prediction	prediction	NOUN
aiti-8364	21	29	model	model	NOUN
aiti-8364	21	30	.	.	PUNCT
aiti-8364	22	1	this	this	DET
aiti-8364	22	2	study	study	NOUN
aiti-8364	22	3	aims	aim	VERB
aiti-8364	22	4	to	to	PART
aiti-8364	22	5	develop	develop	VERB
aiti-8364	22	6	a	a	DET
aiti-8364	22	7	short	short	ADJ
aiti-8364	22	8	-	-	PUNCT
aiti-8364	22	9	term	term	NOUN
aiti-8364	22	10	rain	rain	NOUN
aiti-8364	22	11	prediction	prediction	NOUN
aiti-8364	22	12	model	model	NOUN
aiti-8364	22	13	that	that	PRON
aiti-8364	22	14	can	can	AUX
aiti-8364	22	15	effectively	effectively	ADV
aiti-8364	22	16	and	and	CCONJ
aiti-8364	22	17	accurately	accurately	ADV
aiti-8364	22	18	predict	predict	VERB
aiti-8364	22	19	rainfall	rainfall	NOUN
aiti-8364	22	20	.	.	PUNCT
aiti-8364	23	1	in	in	ADP
aiti-8364	23	2	this	this	DET
aiti-8364	23	3	proposed	propose	VERB
aiti-8364	23	4	work	work	NOUN
aiti-8364	23	5	,	,	PUNCT
aiti-8364	23	6	several	several	ADJ
aiti-8364	23	7	relevant	relevant	ADJ
aiti-8364	23	8	machine	machine	NOUN
aiti-8364	23	9	learning	learning	NOUN
aiti-8364	23	10	models	model	NOUN
aiti-8364	23	11	have	have	AUX
aiti-8364	23	12	been	be	AUX
aiti-8364	23	13	used	use	VERB
aiti-8364	23	14	to	to	PART
aiti-8364	23	15	predict	predict	VERB
aiti-8364	23	16	rainfall	rainfall	NOUN
aiti-8364	23	17	,	,	PUNCT
aiti-8364	23	18	and	and	CCONJ
aiti-8364	23	19	finally	finally	ADV
aiti-8364	23	20	,	,	PUNCT
aiti-8364	23	21	a	a	DET
aiti-8364	23	22	performance	performance	NOUN
aiti-8364	23	23	comparison	comparison	NOUN
aiti-8364	23	24	has	have	AUX
aiti-8364	23	25	been	be	AUX
aiti-8364	23	26	made	make	VERB
aiti-8364	23	27	to	to	PART
aiti-8364	23	28	determine	determine	VERB
aiti-8364	23	29	the	the	DET
aiti-8364	23	30	best	good	ADJ
aiti-8364	23	31	suitable	suitable	ADJ
aiti-8364	23	32	model	model	NOUN
aiti-8364	23	33	.	.	PUNCT
aiti-8364	24	1	*	*	PUNCT
aiti-8364	24	2	corresponding	correspond	VERB
aiti-8364	24	3	author	author	NOUN
aiti-8364	24	4	.	.	PUNCT
aiti-8364	25	1	e	e	X
aiti-8364	25	2	-	-	NOUN
aiti-8364	25	3	mail	mail	NOUN
aiti-8364	25	4	address	address	NOUN
aiti-8364	25	5	:	:	PUNCT
aiti-8364	25	6	jahannusratprotta@gmail.com	jahannusratprotta@gmail.com	ADP
aiti-8364	25	7	advances	advance	NOUN
aiti-8364	25	8	in	in	ADP
aiti-8364	25	9	technology	technology	NOUN
aiti-8364	25	10	innovation	innovation	NOUN
aiti-8364	25	11	,	,	PUNCT
aiti-8364	25	12	vol	vol	NOUN
aiti-8364	25	13	.	.	PROPN
aiti-8364	25	14	8	8	NUM
aiti-8364	25	15	,	,	PUNCT
aiti-8364	25	16	no	no	INTJ
aiti-8364	25	17	.	.	NOUN
aiti-8364	25	18	2	2	NUM
aiti-8364	25	19	,	,	PUNCT
aiti-8364	25	20	2023	2023	NUM
aiti-8364	25	21	,	,	PUNCT
aiti-8364	25	22	pp	pp	ADJ
aiti-8364	25	23	.	.	PUNCT
aiti-8364	25	24	111	111	NUM
aiti-8364	25	25	-	-	SYM
aiti-8364	25	26	120	120	NUM
aiti-8364	25	27	112	112	NUM
aiti-8364	25	28	in	in	ADP
aiti-8364	25	29	this	this	DET
aiti-8364	25	30	project	project	NOUN
aiti-8364	25	31	,	,	PUNCT
aiti-8364	25	32	the	the	DET
aiti-8364	25	33	twenty	twenty	NUM
aiti-8364	25	34	-	-	PUNCT
aiti-8364	25	35	nine	nine	NUM
aiti-8364	25	36	most	most	ADV
aiti-8364	25	37	optimistic	optimistic	ADJ
aiti-8364	25	38	classifiers	classifier	NOUN
aiti-8364	25	39	have	have	AUX
aiti-8364	25	40	been	be	AUX
aiti-8364	25	41	used	use	VERB
aiti-8364	25	42	from	from	ADP
aiti-8364	25	43	eleven	eleven	NUM
aiti-8364	25	44	different	different	ADJ
aiti-8364	25	45	categories	category	NOUN
aiti-8364	25	46	.	.	PUNCT
aiti-8364	26	1	all	all	DET
aiti-8364	26	2	these	these	DET
aiti-8364	26	3	models	model	NOUN
aiti-8364	26	4	have	have	AUX
aiti-8364	26	5	been	be	AUX
aiti-8364	26	6	trained	train	VERB
aiti-8364	26	7	and	and	CCONJ
aiti-8364	26	8	tested	test	VERB
aiti-8364	26	9	with	with	ADP
aiti-8364	26	10	a	a	DET
aiti-8364	26	11	relevant	relevant	ADJ
aiti-8364	26	12	rainfall	rainfall	NOUN
aiti-8364	26	13	dataset	dataset	VERB
aiti-8364	26	14	to	to	PART
aiti-8364	26	15	implement	implement	VERB
aiti-8364	26	16	this	this	DET
aiti-8364	26	17	prediction	prediction	NOUN
aiti-8364	26	18	model	model	NOUN
aiti-8364	26	19	.	.	PUNCT
aiti-8364	27	1	the	the	DET
aiti-8364	27	2	data	datum	NOUN
aiti-8364	27	3	was	be	AUX
aiti-8364	27	4	collected	collect	VERB
aiti-8364	27	5	from	from	ADP
aiti-8364	27	6	a	a	DET
aiti-8364	27	7	popular	popular	ADJ
aiti-8364	27	8	and	and	CCONJ
aiti-8364	27	9	recognized	recognize	VERB
aiti-8364	27	10	public	public	ADJ
aiti-8364	27	11	repository	repository	NOUN
aiti-8364	27	12	and	and	CCONJ
aiti-8364	27	13	split	split	VERB
aiti-8364	27	14	into	into	ADP
aiti-8364	27	15	training	training	NOUN
aiti-8364	27	16	,	,	PUNCT
aiti-8364	27	17	validation	validation	NOUN
aiti-8364	27	18	,	,	PUNCT
aiti-8364	27	19	and	and	CCONJ
aiti-8364	27	20	testing	testing	NOUN
aiti-8364	27	21	data	datum	NOUN
aiti-8364	27	22	.	.	PUNCT
aiti-8364	28	1	since	since	SCONJ
aiti-8364	28	2	the	the	DET
aiti-8364	28	3	raw	raw	ADJ
aiti-8364	28	4	data	datum	NOUN
aiti-8364	28	5	came	come	VERB
aiti-8364	28	6	from	from	ADP
aiti-8364	28	7	natural	natural	ADJ
aiti-8364	28	8	weather	weather	NOUN
aiti-8364	28	9	resources	resource	NOUN
aiti-8364	28	10	,	,	PUNCT
aiti-8364	28	11	it	it	PRON
aiti-8364	28	12	has	have	AUX
aiti-8364	28	13	been	be	AUX
aiti-8364	28	14	preprocessed	preprocesse	VERB
aiti-8364	28	15	before	before	ADP
aiti-8364	28	16	going	go	VERB
aiti-8364	28	17	to	to	ADP
aiti-8364	28	18	the	the	DET
aiti-8364	28	19	training	training	NOUN
aiti-8364	28	20	phase	phase	NOUN
aiti-8364	28	21	.	.	PUNCT
aiti-8364	29	1	a	a	DET
aiti-8364	29	2	few	few	ADJ
aiti-8364	29	3	preprocessing	preprocessing	NOUN
aiti-8364	29	4	techniques	technique	NOUN
aiti-8364	29	5	have	have	AUX
aiti-8364	29	6	been	be	AUX
aiti-8364	29	7	implemented	implement	VERB
aiti-8364	29	8	to	to	PART
aiti-8364	29	9	prepare	prepare	VERB
aiti-8364	29	10	the	the	DET
aiti-8364	29	11	raw	raw	ADJ
aiti-8364	29	12	data	datum	NOUN
aiti-8364	29	13	,	,	PUNCT
aiti-8364	29	14	such	such	ADJ
aiti-8364	29	15	as	as	ADP
aiti-8364	29	16	missing	miss	VERB
aiti-8364	29	17	value	value	NOUN
aiti-8364	29	18	check	check	NOUN
aiti-8364	29	19	,	,	PUNCT
aiti-8364	29	20	feature	feature	NOUN
aiti-8364	29	21	selection	selection	NOUN
aiti-8364	29	22	,	,	PUNCT
aiti-8364	29	23	features	feature	VERB
aiti-8364	29	24	scaling	scaling	NOUN
aiti-8364	29	25	,	,	PUNCT
aiti-8364	29	26	dimension	dimension	NOUN
aiti-8364	29	27	reduction	reduction	NOUN
aiti-8364	29	28	,	,	PUNCT
aiti-8364	29	29	etc	etc	X
aiti-8364	29	30	.	.	X
aiti-8364	30	1	after	after	ADP
aiti-8364	30	2	analyzing	analyze	VERB
aiti-8364	30	3	all	all	DET
aiti-8364	30	4	the	the	DET
aiti-8364	30	5	models	model	NOUN
aiti-8364	30	6	and	and	CCONJ
aiti-8364	30	7	comparing	compare	VERB
aiti-8364	30	8	them	they	PRON
aiti-8364	30	9	,	,	PUNCT
aiti-8364	30	10	it	it	PRON
aiti-8364	30	11	was	be	AUX
aiti-8364	30	12	found	find	VERB
aiti-8364	30	13	that	that	SCONJ
aiti-8364	30	14	the	the	DET
aiti-8364	30	15	hist	hist	PROPN
aiti-8364	30	16	gradient	gradient	NOUN
aiti-8364	30	17	boosting	boost	VERB
aiti-8364	30	18	classifier	classifier	NOUN
aiti-8364	30	19	(	(	PUNCT
aiti-8364	30	20	hgbc	hgbc	PROPN
aiti-8364	30	21	)	)	PUNCT
aiti-8364	30	22	has	have	AUX
aiti-8364	30	23	shown	show	VERB
aiti-8364	30	24	the	the	DET
aiti-8364	30	25	highest	high	ADJ
aiti-8364	30	26	accuracy	accuracy	NOUN
aiti-8364	30	27	of	of	ADP
aiti-8364	30	28	91	91	NUM
aiti-8364	30	29	%	%	NOUN
aiti-8364	30	30	.	.	PUNCT
aiti-8364	31	1	a	a	DET
aiti-8364	31	2	lot	lot	NOUN
aiti-8364	31	3	of	of	ADP
aiti-8364	31	4	other	other	ADJ
aiti-8364	31	5	models	model	NOUN
aiti-8364	31	6	have	have	AUX
aiti-8364	31	7	shown	show	VERB
aiti-8364	31	8	the	the	DET
aiti-8364	31	9	second	second	ADV
aiti-8364	31	10	-	-	PUNCT
aiti-8364	31	11	highest	high	ADJ
aiti-8364	31	12	accuracy	accuracy	NOUN
aiti-8364	31	13	of	of	ADP
aiti-8364	31	14	90	90	NUM
aiti-8364	31	15	%	%	NOUN
aiti-8364	31	16	.	.	PUNCT
aiti-8364	32	1	the	the	DET
aiti-8364	32	2	contribution	contribution	NOUN
aiti-8364	32	3	of	of	ADP
aiti-8364	32	4	this	this	DET
aiti-8364	32	5	paper	paper	NOUN
aiti-8364	32	6	can	can	AUX
aiti-8364	32	7	be	be	AUX
aiti-8364	32	8	summarized	summarize	VERB
aiti-8364	32	9	below	below	ADP
aiti-8364	32	10	:	:	PUNCT
aiti-8364	32	11	(	(	PUNCT
aiti-8364	32	12	1	1	X
aiti-8364	32	13	)	)	PUNCT
aiti-8364	32	14	a	a	DET
aiti-8364	32	15	pipeline	pipeline	NOUN
aiti-8364	32	16	for	for	ADP
aiti-8364	32	17	estimating	estimate	VERB
aiti-8364	32	18	rain	rain	NOUN
aiti-8364	32	19	prediction	prediction	NOUN
aiti-8364	32	20	has	have	AUX
aiti-8364	32	21	been	be	AUX
aiti-8364	32	22	developed	develop	VERB
aiti-8364	32	23	.	.	PUNCT
aiti-8364	33	1	(	(	PUNCT
aiti-8364	33	2	2	2	X
aiti-8364	33	3	)	)	PUNCT
aiti-8364	33	4	diverse	diverse	ADJ
aiti-8364	33	5	types	type	NOUN
aiti-8364	33	6	of	of	ADP
aiti-8364	33	7	classifiers	classifier	NOUN
aiti-8364	33	8	have	have	AUX
aiti-8364	33	9	been	be	AUX
aiti-8364	33	10	used	use	VERB
aiti-8364	33	11	to	to	PART
aiti-8364	33	12	ensure	ensure	VERB
aiti-8364	33	13	the	the	DET
aiti-8364	33	14	best	good	ADJ
aiti-8364	33	15	model	model	NOUN
aiti-8364	33	16	that	that	PRON
aiti-8364	33	17	suits	suit	VERB
aiti-8364	33	18	diverse	diverse	ADJ
aiti-8364	33	19	types	type	NOUN
aiti-8364	33	20	of	of	ADP
aiti-8364	33	21	data	datum	NOUN
aiti-8364	33	22	.	.	PUNCT
aiti-8364	34	1	(	(	PUNCT
aiti-8364	34	2	3	3	X
aiti-8364	34	3	)	)	PUNCT
aiti-8364	34	4	a	a	DET
aiti-8364	34	5	comparison	comparison	NOUN
aiti-8364	34	6	among	among	ADP
aiti-8364	34	7	all	all	DET
aiti-8364	34	8	trained	train	VERB
aiti-8364	34	9	models	model	NOUN
aiti-8364	34	10	has	have	AUX
aiti-8364	34	11	been	be	AUX
aiti-8364	34	12	described	describe	VERB
aiti-8364	34	13	to	to	PART
aiti-8364	34	14	measure	measure	VERB
aiti-8364	34	15	the	the	DET
aiti-8364	34	16	comparative	comparative	ADJ
aiti-8364	34	17	performance	performance	NOUN
aiti-8364	34	18	.	.	PUNCT
aiti-8364	35	1	the	the	DET
aiti-8364	35	2	rest	rest	NOUN
aiti-8364	35	3	of	of	ADP
aiti-8364	35	4	the	the	DET
aiti-8364	35	5	sections	section	NOUN
aiti-8364	35	6	of	of	ADP
aiti-8364	35	7	this	this	DET
aiti-8364	35	8	paper	paper	NOUN
aiti-8364	35	9	is	be	AUX
aiti-8364	35	10	organized	organize	VERB
aiti-8364	35	11	as	as	SCONJ
aiti-8364	35	12	follows	follow	VERB
aiti-8364	35	13	.	.	PUNCT
aiti-8364	36	1	section	section	NOUN
aiti-8364	36	2	2	2	NUM
aiti-8364	36	3	explains	explain	VERB
aiti-8364	36	4	the	the	DET
aiti-8364	36	5	related	related	ADJ
aiti-8364	36	6	work	work	NOUN
aiti-8364	36	7	of	of	ADP
aiti-8364	36	8	various	various	ADJ
aiti-8364	36	9	classification	classification	NOUN
aiti-8364	36	10	techniques	technique	NOUN
aiti-8364	36	11	for	for	ADP
aiti-8364	36	12	rainfall	rainfall	NOUN
aiti-8364	36	13	prediction	prediction	NOUN
aiti-8364	36	14	.	.	PUNCT
aiti-8364	37	1	section	section	NOUN
aiti-8364	37	2	3	3	NUM
aiti-8364	37	3	describes	describe	VERB
aiti-8364	37	4	the	the	DET
aiti-8364	37	5	major	major	ADJ
aiti-8364	37	6	technology	technology	NOUN
aiti-8364	37	7	components	component	NOUN
aiti-8364	37	8	used	use	VERB
aiti-8364	37	9	,	,	PUNCT
aiti-8364	37	10	including	include	VERB
aiti-8364	37	11	the	the	DET
aiti-8364	37	12	dataset	dataset	NOUN
aiti-8364	37	13	,	,	PUNCT
aiti-8364	37	14	preprocessing	preprocessing	NOUN
aiti-8364	37	15	,	,	PUNCT
aiti-8364	37	16	and	and	CCONJ
aiti-8364	37	17	algorithm	algorithm	NOUN
aiti-8364	37	18	.	.	PUNCT
aiti-8364	38	1	section	section	NOUN
aiti-8364	38	2	4	4	NUM
aiti-8364	38	3	describes	describe	VERB
aiti-8364	38	4	the	the	DET
aiti-8364	38	5	methodology	methodology	NOUN
aiti-8364	38	6	that	that	PRON
aiti-8364	38	7	has	have	AUX
aiti-8364	38	8	been	be	AUX
aiti-8364	38	9	used	use	VERB
aiti-8364	38	10	to	to	PART
aiti-8364	38	11	solve	solve	VERB
aiti-8364	38	12	the	the	DET
aiti-8364	38	13	proposed	propose	VERB
aiti-8364	38	14	problem	problem	NOUN
aiti-8364	38	15	.	.	PUNCT
aiti-8364	39	1	later	later	ADV
aiti-8364	39	2	on	on	ADV
aiti-8364	39	3	,	,	PUNCT
aiti-8364	39	4	section	section	NOUN
aiti-8364	39	5	5	5	NUM
aiti-8364	39	6	contains	contain	VERB
aiti-8364	39	7	the	the	DET
aiti-8364	39	8	experiments	experiment	NOUN
aiti-8364	39	9	and	and	CCONJ
aiti-8364	39	10	the	the	DET
aiti-8364	39	11	results	result	NOUN
aiti-8364	39	12	.	.	PUNCT
aiti-8364	40	1	this	this	DET
aiti-8364	40	2	article	article	NOUN
aiti-8364	40	3	is	be	AUX
aiti-8364	40	4	wrapped	wrap	VERB
aiti-8364	40	5	up	up	ADP
aiti-8364	40	6	in	in	ADP
aiti-8364	40	7	section	section	NOUN
aiti-8364	40	8	6	6	NUM
aiti-8364	40	9	by	by	ADP
aiti-8364	40	10	discussing	discuss	VERB
aiti-8364	40	11	the	the	DET
aiti-8364	40	12	conclusion	conclusion	NOUN
aiti-8364	40	13	and	and	CCONJ
aiti-8364	40	14	future	future	ADJ
aiti-8364	40	15	works	work	NOUN
aiti-8364	40	16	.	.	PUNCT
aiti-8364	41	1	2	2	X
aiti-8364	41	2	.	.	X
aiti-8364	41	3	related	relate	VERB
aiti-8364	41	4	work	work	NOUN
aiti-8364	41	5	a	a	DET
aiti-8364	41	6	country	country	NOUN
aiti-8364	41	7	’s	’s	PART
aiti-8364	41	8	agriculture	agriculture	NOUN
aiti-8364	41	9	largely	largely	ADV
aiti-8364	41	10	depends	depend	VERB
aiti-8364	41	11	on	on	ADP
aiti-8364	41	12	rain	rain	NOUN
aiti-8364	41	13	,	,	PUNCT
aiti-8364	41	14	and	and	CCONJ
aiti-8364	41	15	there	there	PRON
aiti-8364	41	16	is	be	VERB
aiti-8364	41	17	a	a	DET
aiti-8364	41	18	lot	lot	NOUN
aiti-8364	41	19	of	of	ADP
aiti-8364	41	20	research	research	NOUN
aiti-8364	41	21	on	on	ADP
aiti-8364	41	22	forecasting	forecast	VERB
aiti-8364	41	23	rain	rain	NOUN
aiti-8364	41	24	.	.	PUNCT
aiti-8364	42	1	all	all	DET
aiti-8364	42	2	the	the	DET
aiti-8364	42	3	earlier	early	ADJ
aiti-8364	42	4	methods	method	NOUN
aiti-8364	42	5	of	of	ADP
aiti-8364	42	6	rain	rain	NOUN
aiti-8364	42	7	forecasting	forecasting	NOUN
aiti-8364	42	8	are	be	AUX
aiti-8364	42	9	mainly	mainly	ADV
aiti-8364	42	10	statistical	statistical	ADJ
aiti-8364	42	11	and	and	CCONJ
aiti-8364	42	12	numerical	numerical	ADJ
aiti-8364	42	13	analysis	analysis	NOUN
aiti-8364	42	14	based	base	VERB
aiti-8364	42	15	[	[	X
aiti-8364	42	16	1	1	NUM
aiti-8364	42	17	]	]	PUNCT
aiti-8364	42	18	.	.	PUNCT
aiti-8364	43	1	also	also	ADV
aiti-8364	43	2	,	,	PUNCT
aiti-8364	43	3	some	some	DET
aiti-8364	43	4	methods	method	NOUN
aiti-8364	43	5	predict	predict	VERB
aiti-8364	43	6	the	the	DET
aiti-8364	43	7	rain	rain	NOUN
aiti-8364	43	8	by	by	ADP
aiti-8364	43	9	analyzing	analyze	VERB
aiti-8364	43	10	radar	radar	NOUN
aiti-8364	43	11	images	image	NOUN
aiti-8364	43	12	.	.	PUNCT
aiti-8364	44	1	denœux	denœux	NOUN
aiti-8364	44	2	and	and	CCONJ
aiti-8364	44	3	rizand	rizand	VERB
aiti-8364	44	4	[	[	X
aiti-8364	44	5	2	2	X
aiti-8364	44	6	]	]	PUNCT
aiti-8364	44	7	have	have	AUX
aiti-8364	44	8	proposed	propose	VERB
aiti-8364	44	9	a	a	DET
aiti-8364	44	10	model	model	NOUN
aiti-8364	44	11	that	that	PRON
aiti-8364	44	12	performs	perform	VERB
aiti-8364	44	13	deep	deep	ADJ
aiti-8364	44	14	learning	learning	NOUN
aiti-8364	44	15	-	-	PUNCT
aiti-8364	44	16	based	base	VERB
aiti-8364	44	17	analysis	analysis	NOUN
aiti-8364	44	18	on	on	ADP
aiti-8364	44	19	radar	radar	NOUN
aiti-8364	44	20	images	image	NOUN
aiti-8364	44	21	to	to	PART
aiti-8364	44	22	predict	predict	VERB
aiti-8364	44	23	rainfall	rainfall	NOUN
aiti-8364	44	24	.	.	PUNCT
aiti-8364	45	1	however	however	ADV
aiti-8364	45	2	,	,	PUNCT
aiti-8364	45	3	with	with	ADP
aiti-8364	45	4	the	the	DET
aiti-8364	45	5	recent	recent	ADJ
aiti-8364	45	6	advancement	advancement	NOUN
aiti-8364	45	7	of	of	ADP
aiti-8364	45	8	machine	machine	NOUN
aiti-8364	45	9	learning	learning	NOUN
aiti-8364	45	10	,	,	PUNCT
aiti-8364	45	11	many	many	ADJ
aiti-8364	45	12	new	new	ADJ
aiti-8364	45	13	machine	machine	NOUN
aiti-8364	45	14	learning	learning	NOUN
aiti-8364	45	15	-	-	PUNCT
aiti-8364	45	16	based	base	VERB
aiti-8364	45	17	models	model	NOUN
aiti-8364	45	18	have	have	AUX
aiti-8364	45	19	been	be	AUX
aiti-8364	45	20	proposed	propose	VERB
aiti-8364	45	21	for	for	ADP
aiti-8364	45	22	rainfall	rainfall	NOUN
aiti-8364	45	23	prediction	prediction	NOUN
aiti-8364	45	24	.	.	PUNCT
aiti-8364	46	1	researchers	researcher	NOUN
aiti-8364	46	2	like	like	ADP
aiti-8364	46	3	shah	shah	PROPN
aiti-8364	46	4	et	et	PROPN
aiti-8364	46	5	al	al	PROPN
aiti-8364	46	6	.	.	PUNCT
aiti-8364	47	1	[	[	X
aiti-8364	47	2	3	3	X
aiti-8364	47	3	]	]	PUNCT
aiti-8364	47	4	have	have	AUX
aiti-8364	47	5	developed	develop	VERB
aiti-8364	47	6	a	a	DET
aiti-8364	47	7	simple	simple	ADJ
aiti-8364	47	8	polynomial	polynomial	ADJ
aiti-8364	47	9	regression	regression	NOUN
aiti-8364	47	10	-	-	PUNCT
aiti-8364	47	11	based	base	VERB
aiti-8364	47	12	model	model	NOUN
aiti-8364	47	13	to	to	PART
aiti-8364	47	14	predict	predict	VERB
aiti-8364	47	15	the	the	DET
aiti-8364	47	16	rain	rain	NOUN
aiti-8364	47	17	to	to	PART
aiti-8364	47	18	benefit	benefit	VERB
aiti-8364	47	19	agricultural	agricultural	ADJ
aiti-8364	47	20	products	product	NOUN
aiti-8364	47	21	.	.	PUNCT
aiti-8364	48	1	asha	asha	PROPN
aiti-8364	48	2	et	et	PROPN
aiti-8364	48	3	al	al	PROPN
aiti-8364	48	4	.	.	PUNCT
aiti-8364	49	1	[	[	X
aiti-8364	49	2	4	4	X
aiti-8364	49	3	]	]	PUNCT
aiti-8364	49	4	have	have	AUX
aiti-8364	49	5	proposed	propose	VERB
aiti-8364	49	6	a	a	DET
aiti-8364	49	7	hybrid	hybrid	ADJ
aiti-8364	49	8	machine	machine	NOUN
aiti-8364	49	9	learning	learn	VERB
aiti-8364	49	10	classification	classification	NOUN
aiti-8364	49	11	model	model	NOUN
aiti-8364	49	12	for	for	ADP
aiti-8364	49	13	predicting	predict	VERB
aiti-8364	49	14	rainfall	rainfall	NOUN
aiti-8364	49	15	,	,	PUNCT
aiti-8364	49	16	and	and	CCONJ
aiti-8364	49	17	it	it	PRON
aiti-8364	49	18	has	have	AUX
aiti-8364	49	19	shown	show	VERB
aiti-8364	49	20	better	well	ADJ
aiti-8364	49	21	performance	performance	NOUN
aiti-8364	49	22	than	than	ADP
aiti-8364	49	23	the	the	DET
aiti-8364	49	24	ordinary	ordinary	ADJ
aiti-8364	49	25	ml	ml	NOUN
aiti-8364	49	26	-	-	PUNCT
aiti-8364	49	27	based	base	VERB
aiti-8364	49	28	model	model	NOUN
aiti-8364	49	29	.	.	PUNCT
aiti-8364	50	1	sakthivel	sakthivel	NOUN
aiti-8364	50	2	and	and	CCONJ
aiti-8364	50	3	thailambal	thailambal	ADJ
aiti-8364	50	4	[	[	X
aiti-8364	50	5	5	5	NUM
aiti-8364	50	6	]	]	PUNCT
aiti-8364	50	7	have	have	AUX
aiti-8364	50	8	also	also	ADV
aiti-8364	50	9	demonstrated	demonstrate	VERB
aiti-8364	50	10	such	such	DET
aiti-8364	50	11	a	a	DET
aiti-8364	50	12	hybrid	hybrid	ADJ
aiti-8364	50	13	approach	approach	NOUN
aiti-8364	50	14	for	for	ADP
aiti-8364	50	15	rain	rain	NOUN
aiti-8364	50	16	prediction	prediction	NOUN
aiti-8364	50	17	,	,	PUNCT
aiti-8364	50	18	predicting	predict	VERB
aiti-8364	50	19	continuous	continuous	ADJ
aiti-8364	50	20	long	long	ADJ
aiti-8364	50	21	period	period	NOUN
aiti-8364	50	22	rainfall	rainfall	NOUN
aiti-8364	50	23	.	.	PUNCT
aiti-8364	51	1	naidu	naidu	PROPN
aiti-8364	51	2	et	et	PROPN
aiti-8364	51	3	al	al	PROPN
aiti-8364	51	4	.	.	PUNCT
aiti-8364	52	1	[	[	X
aiti-8364	52	2	6	6	NUM
aiti-8364	52	3	]	]	PUNCT
aiti-8364	52	4	presented	present	VERB
aiti-8364	52	5	the	the	DET
aiti-8364	52	6	changes	change	NOUN
aiti-8364	52	7	in	in	ADP
aiti-8364	52	8	rainfall	rainfall	NOUN
aiti-8364	52	9	patterns	pattern	NOUN
aiti-8364	52	10	in	in	ADP
aiti-8364	52	11	numerous	numerous	ADJ
aiti-8364	52	12	agro	agro	ADJ
aiti-8364	52	13	-	-	ADJ
aiti-8364	52	14	climatic	climatic	ADJ
aiti-8364	52	15	zones	zone	NOUN
aiti-8364	52	16	using	use	VERB
aiti-8364	52	17	machine	machine	NOUN
aiti-8364	52	18	learning	learning	NOUN
aiti-8364	52	19	approaches	approach	NOUN
aiti-8364	52	20	.	.	PUNCT
aiti-8364	53	1	besides	besides	SCONJ
aiti-8364	53	2	,	,	PUNCT
aiti-8364	53	3	dinh	dinh	NOUN
aiti-8364	53	4	et	et	PROPN
aiti-8364	53	5	al	al	PROPN
aiti-8364	53	6	.	.	PUNCT
aiti-8364	54	1	[	[	X
aiti-8364	54	2	7	7	X
aiti-8364	54	3	]	]	PUNCT
aiti-8364	54	4	have	have	AUX
aiti-8364	54	5	used	use	VERB
aiti-8364	54	6	a	a	DET
aiti-8364	54	7	support	support	NOUN
aiti-8364	54	8	vector	vector	NOUN
aiti-8364	54	9	machine	machine	NOUN
aiti-8364	54	10	(	(	PUNCT
aiti-8364	54	11	svm)-based	svm)-base	VERB
aiti-8364	54	12	method	method	NOUN
aiti-8364	54	13	to	to	PART
aiti-8364	54	14	measure	measure	VERB
aiti-8364	54	15	the	the	DET
aiti-8364	54	16	rain	rain	NOUN
aiti-8364	54	17	forecast	forecast	NOUN
aiti-8364	54	18	and	and	CCONJ
aiti-8364	54	19	the	the	DET
aiti-8364	54	20	soil	soil	NOUN
aiti-8364	54	21	erosion	erosion	NOUN
aiti-8364	54	22	due	due	ADP
aiti-8364	54	23	to	to	ADP
aiti-8364	54	24	the	the	DET
aiti-8364	54	25	rain	rain	NOUN
aiti-8364	54	26	.	.	PUNCT
aiti-8364	55	1	on	on	ADP
aiti-8364	55	2	the	the	DET
aiti-8364	55	3	other	other	ADJ
aiti-8364	55	4	hand	hand	NOUN
aiti-8364	55	5	,	,	PUNCT
aiti-8364	55	6	abdel	abdel	PROPN
aiti-8364	55	7	-	-	PUNCT
aiti-8364	55	8	kader	kader	PROPN
aiti-8364	55	9	et	et	PROPN
aiti-8364	55	10	al	al	PROPN
aiti-8364	55	11	.	.	PUNCT
aiti-8364	56	1	[	[	X
aiti-8364	56	2	8	8	NUM
aiti-8364	56	3	]	]	PUNCT
aiti-8364	56	4	showed	show	VERB
aiti-8364	56	5	a	a	DET
aiti-8364	56	6	vigorous	vigorous	ADJ
aiti-8364	56	7	hybrid	hybrid	NOUN
aiti-8364	56	8	technique	technique	NOUN
aiti-8364	56	9	by	by	ADP
aiti-8364	56	10	particle	particle	NOUN
aiti-8364	56	11	swarm	swarm	NOUN
aiti-8364	56	12	optimization	optimization	NOUN
aiti-8364	56	13	(	(	PUNCT
aiti-8364	56	14	pso	pso	NOUN
aiti-8364	56	15	)	)	PUNCT
aiti-8364	56	16	and	and	CCONJ
aiti-8364	56	17	multi	multi	ADJ
aiti-8364	56	18	-	-	ADJ
aiti-8364	56	19	layer	layer	ADJ
aiti-8364	56	20	perceptron	perceptron	NOUN
aiti-8364	56	21	(	(	PUNCT
aiti-8364	56	22	mlp	mlp	PROPN
aiti-8364	56	23	)	)	PUNCT
aiti-8364	56	24	for	for	ADP
aiti-8364	56	25	the	the	DET
aiti-8364	56	26	prediction	prediction	NOUN
aiti-8364	56	27	of	of	ADP
aiti-8364	56	28	rainfall	rainfall	NOUN
aiti-8364	56	29	.	.	PUNCT
aiti-8364	57	1	also	also	ADV
aiti-8364	57	2	,	,	PUNCT
aiti-8364	57	3	samsiahsani	samsiahsani	PROPN
aiti-8364	57	4	et	et	PROPN
aiti-8364	57	5	al	al	PROPN
aiti-8364	57	6	.	.	PUNCT
aiti-8364	58	1	[	[	X
aiti-8364	58	2	9	9	NUM
aiti-8364	58	3	]	]	PUNCT
aiti-8364	58	4	evaluated	evaluate	VERB
aiti-8364	58	5	many	many	ADJ
aiti-8364	58	6	machine	machine	NOUN
aiti-8364	58	7	learning	learn	VERB
aiti-8364	58	8	classifiers	classifier	NOUN
aiti-8364	58	9	based	base	VERB
aiti-8364	58	10	on	on	ADP
aiti-8364	58	11	malaysian	malaysian	ADJ
aiti-8364	58	12	data	datum	NOUN
aiti-8364	58	13	for	for	ADP
aiti-8364	58	14	rainfall	rainfall	NOUN
aiti-8364	58	15	prediction	prediction	NOUN
aiti-8364	58	16	.	.	PUNCT
aiti-8364	59	1	similar	similar	ADJ
aiti-8364	59	2	models	model	NOUN
aiti-8364	59	3	have	have	AUX
aiti-8364	59	4	been	be	AUX
aiti-8364	59	5	developed	develop	VERB
aiti-8364	59	6	to	to	PART
aiti-8364	59	7	predict	predict	VERB
aiti-8364	59	8	the	the	DET
aiti-8364	59	9	flood	flood	NOUN
aiti-8364	59	10	forecast	forecast	NOUN
aiti-8364	59	11	due	due	ADP
aiti-8364	59	12	to	to	ADP
aiti-8364	59	13	heavy	heavy	ADJ
aiti-8364	59	14	rainfall	rainfall	NOUN
aiti-8364	59	15	and	and	CCONJ
aiti-8364	59	16	ocean	ocean	NOUN
aiti-8364	59	17	waves	wave	NOUN
aiti-8364	59	18	.	.	PUNCT
aiti-8364	60	1	luk	luk	PROPN
aiti-8364	60	2	et	et	PROPN
aiti-8364	60	3	al	al	PROPN
aiti-8364	60	4	.	.	PUNCT
aiti-8364	61	1	[	[	X
aiti-8364	61	2	10	10	NUM
aiti-8364	61	3	]	]	PUNCT
aiti-8364	61	4	mentioned	mention	VERB
aiti-8364	61	5	data	datum	NOUN
aiti-8364	61	6	scarcity	scarcity	NOUN
aiti-8364	61	7	as	as	ADP
aiti-8364	61	8	a	a	DET
aiti-8364	61	9	limitation	limitation	NOUN
aiti-8364	61	10	in	in	ADP
aiti-8364	61	11	modeling	model	VERB
aiti-8364	61	12	such	such	DET
aiti-8364	61	13	a	a	DET
aiti-8364	61	14	predictive	predictive	ADJ
aiti-8364	61	15	model	model	NOUN
aiti-8364	61	16	.	.	PUNCT
aiti-8364	62	1	abbot	abbot	NOUN
aiti-8364	62	2	and	and	CCONJ
aiti-8364	62	3	marohasy	marohasy	ADJ
aiti-8364	62	4	[	[	X
aiti-8364	62	5	11	11	NUM
aiti-8364	62	6	]	]	PUNCT
aiti-8364	62	7	have	have	AUX
aiti-8364	62	8	shown	show	VERB
aiti-8364	62	9	the	the	DET
aiti-8364	62	10	application	application	NOUN
aiti-8364	62	11	of	of	ADP
aiti-8364	62	12	nn	nn	PROPN
aiti-8364	62	13	in	in	ADP
aiti-8364	62	14	rainfall	rainfall	NOUN
aiti-8364	62	15	prediction	prediction	NOUN
aiti-8364	62	16	based	base	VERB
aiti-8364	62	17	on	on	ADP
aiti-8364	62	18	a	a	DET
aiti-8364	62	19	dataset	dataset	NOUN
aiti-8364	62	20	from	from	ADP
aiti-8364	62	21	queensland	queensland	PROPN
aiti-8364	62	22	,	,	PUNCT
aiti-8364	62	23	australia	australia	PROPN
aiti-8364	62	24	.	.	PUNCT
aiti-8364	63	1	among	among	ADP
aiti-8364	63	2	the	the	DET
aiti-8364	63	3	short	short	ADJ
aiti-8364	63	4	-	-	PUNCT
aiti-8364	63	5	term	term	NOUN
aiti-8364	63	6	prediction	prediction	NOUN
aiti-8364	63	7	models	model	NOUN
aiti-8364	63	8	,	,	PUNCT
aiti-8364	63	9	a	a	DET
aiti-8364	63	10	model	model	NOUN
aiti-8364	63	11	by	by	ADP
aiti-8364	63	12	shah	shah	PROPN
aiti-8364	63	13	et	et	PROPN
aiti-8364	63	14	al	al	PROPN
aiti-8364	63	15	.	.	PUNCT
aiti-8364	64	1	[	[	X
aiti-8364	64	2	12	12	NUM
aiti-8364	64	3	]	]	PUNCT
aiti-8364	64	4	,	,	PUNCT
aiti-8364	64	5	is	be	AUX
aiti-8364	64	6	a	a	DET
aiti-8364	64	7	good	good	ADJ
aiti-8364	64	8	invention	invention	NOUN
aiti-8364	64	9	for	for	ADP
aiti-8364	64	10	predicting	predict	VERB
aiti-8364	64	11	very	very	ADV
aiti-8364	64	12	short	short	ADJ
aiti-8364	64	13	-	-	PUNCT
aiti-8364	64	14	term	term	NOUN
aiti-8364	64	15	rainfall	rainfall	NOUN
aiti-8364	64	16	.	.	PUNCT
aiti-8364	65	1	on	on	ADP
aiti-8364	65	2	the	the	DET
aiti-8364	65	3	other	other	ADJ
aiti-8364	65	4	hand	hand	NOUN
aiti-8364	65	5	,	,	PUNCT
aiti-8364	65	6	some	some	DET
aiti-8364	65	7	researchers	researcher	NOUN
aiti-8364	65	8	focused	focus	VERB
aiti-8364	65	9	on	on	ADP
aiti-8364	65	10	heavy	heavy	ADJ
aiti-8364	65	11	rainfall	rainfall	NOUN
aiti-8364	65	12	only	only	ADV
aiti-8364	65	13	.	.	PUNCT
aiti-8364	66	1	research	research	NOUN
aiti-8364	66	2	by	by	ADP
aiti-8364	66	3	sangiorgioet	sangiorgioet	PROPN
aiti-8364	66	4	al	al	PROPN
aiti-8364	66	5	.	.	PUNCT
aiti-8364	67	1	[	[	X
aiti-8364	67	2	13	13	NUM
aiti-8364	67	3	]	]	PUNCT
aiti-8364	67	4	has	have	AUX
aiti-8364	67	5	made	make	VERB
aiti-8364	67	6	improvements	improvement	NOUN
aiti-8364	67	7	in	in	ADP
aiti-8364	67	8	determining	determine	VERB
aiti-8364	67	9	heavy	heavy	ADJ
aiti-8364	67	10	rainfall	rainfall	NOUN
aiti-8364	67	11	based	base	VERB
aiti-8364	67	12	on	on	ADP
aiti-8364	67	13	water	water	NOUN
aiti-8364	67	14	vapor	vapor	NOUN
aiti-8364	67	15	measurement	measurement	NOUN
aiti-8364	67	16	using	use	VERB
aiti-8364	67	17	a	a	DET
aiti-8364	67	18	nn	nn	NOUN
aiti-8364	67	19	-	-	PUNCT
aiti-8364	67	20	based	base	VERB
aiti-8364	67	21	model	model	NOUN
aiti-8364	67	22	.	.	PUNCT
aiti-8364	68	1	han	han	PROPN
aiti-8364	68	2	et	et	PROPN
aiti-8364	68	3	al	al	PROPN
aiti-8364	68	4	.	.	PUNCT
aiti-8364	69	1	[	[	X
aiti-8364	69	2	14	14	NUM
aiti-8364	69	3	]	]	PUNCT
aiti-8364	69	4	have	have	AUX
aiti-8364	69	5	mentioned	mention	VERB
aiti-8364	69	6	the	the	DET
aiti-8364	69	7	limitations	limitation	NOUN
aiti-8364	69	8	of	of	ADP
aiti-8364	69	9	such	such	DET
aiti-8364	69	10	a	a	DET
aiti-8364	69	11	predictive	predictive	ADJ
aiti-8364	69	12	model	model	NOUN
aiti-8364	69	13	for	for	ADP
aiti-8364	69	14	forecasting	forecast	VERB
aiti-8364	69	15	rainfall	rainfall	NOUN
aiti-8364	69	16	and	and	CCONJ
aiti-8364	69	17	flood	flood	NOUN
aiti-8364	69	18	by	by	ADP
aiti-8364	69	19	determining	determine	VERB
aiti-8364	69	20	the	the	DET
aiti-8364	69	21	major	major	ADJ
aiti-8364	69	22	uncertainties	uncertainty	NOUN
aiti-8364	69	23	.	.	PUNCT
aiti-8364	70	1	advances	advance	NOUN
aiti-8364	70	2	in	in	ADP
aiti-8364	70	3	technology	technology	NOUN
aiti-8364	70	4	innovation	innovation	NOUN
aiti-8364	70	5	,	,	PUNCT
aiti-8364	70	6	vol	vol	NOUN
aiti-8364	70	7	.	.	PROPN
aiti-8364	70	8	8	8	NUM
aiti-8364	70	9	,	,	PUNCT
aiti-8364	70	10	no	no	INTJ
aiti-8364	70	11	.	.	NOUN
aiti-8364	70	12	2	2	NUM
aiti-8364	70	13	,	,	PUNCT
aiti-8364	70	14	2023	2023	NUM
aiti-8364	70	15	,	,	PUNCT
aiti-8364	70	16	pp	pp	ADJ
aiti-8364	70	17	.	.	PUNCT
aiti-8364	71	1	111	111	NUM
aiti-8364	71	2	-	-	SYM
aiti-8364	71	3	120	120	NUM
aiti-8364	71	4	113	113	NUM
aiti-8364	71	5	unlike	unlike	ADP
aiti-8364	71	6	those	those	DET
aiti-8364	71	7	works	work	NOUN
aiti-8364	71	8	,	,	PUNCT
aiti-8364	71	9	in	in	ADP
aiti-8364	71	10	this	this	DET
aiti-8364	71	11	project	project	NOUN
aiti-8364	71	12	,	,	PUNCT
aiti-8364	71	13	several	several	ADJ
aiti-8364	71	14	rain	rain	NOUN
aiti-8364	71	15	-	-	PUNCT
aiti-8364	71	16	forecasting	forecasting	NOUN
aiti-8364	71	17	models	model	NOUN
aiti-8364	71	18	for	for	ADP
aiti-8364	71	19	upcoming	upcoming	ADJ
aiti-8364	71	20	rain	rain	NOUN
aiti-8364	71	21	prediction	prediction	NOUN
aiti-8364	71	22	have	have	AUX
aiti-8364	71	23	been	be	AUX
aiti-8364	71	24	developed	develop	VERB
aiti-8364	71	25	using	use	VERB
aiti-8364	71	26	twenty	twenty	NUM
aiti-8364	71	27	-	-	PUNCT
aiti-8364	71	28	nine	nine	NUM
aiti-8364	71	29	different	different	ADJ
aiti-8364	71	30	machine	machine	NOUN
aiti-8364	71	31	learning	learn	VERB
aiti-8364	71	32	classifiers	classifier	NOUN
aiti-8364	71	33	.	.	PUNCT
aiti-8364	72	1	additionally	additionally	ADV
aiti-8364	72	2	,	,	PUNCT
aiti-8364	72	3	their	their	PRON
aiti-8364	72	4	performances	performance	NOUN
aiti-8364	72	5	have	have	AUX
aiti-8364	72	6	also	also	ADV
aiti-8364	72	7	been	be	AUX
aiti-8364	72	8	compared	compare	VERB
aiti-8364	72	9	,	,	PUNCT
aiti-8364	72	10	and	and	CCONJ
aiti-8364	72	11	hence	hence	ADV
aiti-8364	72	12	the	the	DET
aiti-8364	72	13	best	good	ADJ
aiti-8364	72	14	machine	machine	NOUN
aiti-8364	72	15	learning	learning	NOUN
aiti-8364	72	16	model	model	NOUN
aiti-8364	72	17	for	for	ADP
aiti-8364	72	18	rain	rain	NOUN
aiti-8364	72	19	prediction	prediction	NOUN
aiti-8364	72	20	has	have	AUX
aiti-8364	72	21	been	be	AUX
aiti-8364	72	22	determined	determine	VERB
aiti-8364	72	23	.	.	PUNCT
aiti-8364	73	1	3	3	X
aiti-8364	73	2	.	.	X
aiti-8364	73	3	dataset	dataset	NOUN
aiti-8364	73	4	and	and	CCONJ
aiti-8364	73	5	algorithm	algorithm	NOUN
aiti-8364	73	6	description	description	NOUN
aiti-8364	73	7	the	the	DET
aiti-8364	73	8	structural	structural	ADJ
aiti-8364	73	9	dataset	dataset	NOUN
aiti-8364	73	10	and	and	CCONJ
aiti-8364	73	11	algorithms	algorithm	NOUN
aiti-8364	73	12	are	be	AUX
aiti-8364	73	13	a	a	DET
aiti-8364	73	14	machine	machine	NOUN
aiti-8364	73	15	learning	learn	VERB
aiti-8364	73	16	model	model	NOUN
aiti-8364	73	17	’s	’s	PART
aiti-8364	73	18	two	two	NUM
aiti-8364	73	19	most	most	ADV
aiti-8364	73	20	essential	essential	ADJ
aiti-8364	73	21	parts	part	NOUN
aiti-8364	73	22	.	.	PUNCT
aiti-8364	74	1	this	this	DET
aiti-8364	74	2	section	section	NOUN
aiti-8364	74	3	will	will	AUX
aiti-8364	74	4	provide	provide	VERB
aiti-8364	74	5	a	a	DET
aiti-8364	74	6	brief	brief	ADJ
aiti-8364	74	7	description	description	NOUN
aiti-8364	74	8	of	of	ADP
aiti-8364	74	9	the	the	DET
aiti-8364	74	10	dataset	dataset	NOUN
aiti-8364	74	11	and	and	CCONJ
aiti-8364	74	12	algorithm	algorithm	NOUN
aiti-8364	74	13	.	.	PUNCT
aiti-8364	75	1	the	the	DET
aiti-8364	75	2	features	feature	NOUN
aiti-8364	75	3	of	of	ADP
aiti-8364	75	4	the	the	DET
aiti-8364	75	5	dataset	dataset	NOUN
aiti-8364	75	6	will	will	AUX
aiti-8364	75	7	be	be	AUX
aiti-8364	75	8	discussed	discuss	VERB
aiti-8364	75	9	in	in	ADP
aiti-8364	75	10	more	more	ADJ
aiti-8364	75	11	details	detail	NOUN
aiti-8364	75	12	form	form	NOUN
aiti-8364	75	13	.	.	PUNCT
aiti-8364	76	1	then	then	ADV
aiti-8364	76	2	the	the	DET
aiti-8364	76	3	data	data	NOUN
aiti-8364	76	4	preprocessing	preprocesse	VERB
aiti-8364	76	5	steps	step	NOUN
aiti-8364	76	6	will	will	AUX
aiti-8364	76	7	also	also	ADV
aiti-8364	76	8	be	be	AUX
aiti-8364	76	9	explained	explain	VERB
aiti-8364	76	10	in	in	ADP
aiti-8364	76	11	the	the	DET
aiti-8364	76	12	subsequent	subsequent	ADJ
aiti-8364	76	13	section	section	NOUN
aiti-8364	76	14	.	.	PUNCT
aiti-8364	77	1	finally	finally	ADV
aiti-8364	77	2	,	,	PUNCT
aiti-8364	77	3	all	all	DET
aiti-8364	77	4	the	the	DET
aiti-8364	77	5	algorithms	algorithm	NOUN
aiti-8364	77	6	that	that	PRON
aiti-8364	77	7	have	have	AUX
aiti-8364	77	8	been	be	AUX
aiti-8364	77	9	used	use	VERB
aiti-8364	77	10	to	to	PART
aiti-8364	77	11	make	make	VERB
aiti-8364	77	12	the	the	DET
aiti-8364	77	13	models	model	NOUN
aiti-8364	77	14	will	will	AUX
aiti-8364	77	15	be	be	AUX
aiti-8364	77	16	described	describe	VERB
aiti-8364	77	17	in	in	ADP
aiti-8364	77	18	brief	brief	NOUN
aiti-8364	77	19	.	.	PUNCT
aiti-8364	78	1	3.1	3.1	NUM
aiti-8364	78	2	.	.	PUNCT
aiti-8364	78	3	dataset	dataset	VERB
aiti-8364	78	4	to	to	PART
aiti-8364	78	5	implement	implement	VERB
aiti-8364	78	6	the	the	DET
aiti-8364	78	7	proposed	propose	VERB
aiti-8364	78	8	model	model	NOUN
aiti-8364	78	9	,	,	PUNCT
aiti-8364	78	10	the	the	DET
aiti-8364	78	11	rain	rain	NOUN
aiti-8364	78	12	prediction	prediction	NOUN
aiti-8364	78	13	database	database	NOUN
aiti-8364	78	14	from	from	ADP
aiti-8364	78	15	kaggle	kaggle	PROPN
aiti-8364	78	16	has	have	AUX
aiti-8364	78	17	been	be	AUX
aiti-8364	78	18	used	use	VERB
aiti-8364	78	19	.	.	PUNCT
aiti-8364	79	1	the	the	DET
aiti-8364	79	2	dataset	dataset	NOUN
aiti-8364	79	3	[	[	X
aiti-8364	79	4	15	15	NUM
aiti-8364	79	5	]	]	PUNCT
aiti-8364	79	6	comprises	comprise	VERB
aiti-8364	79	7	the	the	DET
aiti-8364	79	8	precipitation	precipitation	NOUN
aiti-8364	79	9	estimation	estimation	NOUN
aiti-8364	79	10	from	from	ADP
aiti-8364	79	11	the	the	DET
aiti-8364	79	12	years	year	NOUN
aiti-8364	79	13	1901	1901	NUM
aiti-8364	79	14	to	to	ADP
aiti-8364	79	15	2015	2015	NUM
aiti-8364	79	16	for	for	ADP
aiti-8364	79	17	each	each	DET
aiti-8364	79	18	state	state	NOUN
aiti-8364	79	19	of	of	ADP
aiti-8364	79	20	australia	australia	PROPN
aiti-8364	79	21	.	.	PUNCT
aiti-8364	80	1	each	each	DET
aiti-8364	80	2	observation	observation	NOUN
aiti-8364	80	3	contains	contain	VERB
aiti-8364	80	4	19	19	NUM
aiti-8364	80	5	qualities	quality	NOUN
aiti-8364	80	6	(	(	PUNCT
aiti-8364	80	7	person	person	NOUN
aiti-8364	80	8	-	-	PUNCT
aiti-8364	80	9	months	month	NOUN
aiti-8364	80	10	,	,	PUNCT
aiti-8364	80	11	annual	annual	ADJ
aiti-8364	80	12	,	,	PUNCT
aiti-8364	80	13	and	and	CCONJ
aiti-8364	80	14	combinations	combination	NOUN
aiti-8364	80	15	of	of	ADP
aiti-8364	80	16	3	3	NUM
aiti-8364	80	17	continuous	continuous	ADJ
aiti-8364	80	18	months	month	NOUN
aiti-8364	80	19	)	)	PUNCT
aiti-8364	80	20	for	for	ADP
aiti-8364	80	21	subdivisions	subdivision	NOUN
aiti-8364	80	22	.	.	PUNCT
aiti-8364	81	1	the	the	DET
aiti-8364	81	2	rain	rain	NOUN
aiti-8364	81	3	prediction	prediction	NOUN
aiti-8364	81	4	unit	unit	NOUN
aiti-8364	81	5	mentioned	mention	VERB
aiti-8364	81	6	in	in	ADP
aiti-8364	81	7	the	the	DET
aiti-8364	81	8	dataset	dataset	NOUN
aiti-8364	81	9	is	be	AUX
aiti-8364	81	10	measured	measure	VERB
aiti-8364	81	11	in	in	ADP
aiti-8364	81	12	millimeters	millimeter	NOUN
aiti-8364	81	13	(	(	PUNCT
aiti-8364	81	14	mm	mm	PROPN
aiti-8364	81	15	)	)	PUNCT
aiti-8364	81	16	.	.	PUNCT
aiti-8364	82	1	table	table	NOUN
aiti-8364	82	2	1	1	NUM
aiti-8364	82	3	summarizes	summarize	NOUN
aiti-8364	82	4	the	the	DET
aiti-8364	82	5	dataset	dataset	NOUN
aiti-8364	82	6	and	and	CCONJ
aiti-8364	82	7	its	its	PRON
aiti-8364	82	8	features	feature	NOUN
aiti-8364	82	9	.	.	PUNCT
aiti-8364	83	1	the	the	DET
aiti-8364	83	2	feature	feature	NOUN
aiti-8364	83	3	name	name	NOUN
aiti-8364	83	4	and	and	CCONJ
aiti-8364	83	5	the	the	DET
aiti-8364	83	6	description	description	NOUN
aiti-8364	83	7	of	of	ADP
aiti-8364	83	8	the	the	DET
aiti-8364	83	9	feature	feature	NOUN
aiti-8364	83	10	are	be	AUX
aiti-8364	83	11	shown	show	VERB
aiti-8364	83	12	in	in	ADP
aiti-8364	83	13	the	the	DET
aiti-8364	83	14	left	left	ADJ
aiti-8364	83	15	column	column	NOUN
aiti-8364	83	16	and	and	CCONJ
aiti-8364	83	17	the	the	DET
aiti-8364	83	18	right	right	ADJ
aiti-8364	83	19	-	-	PUNCT
aiti-8364	83	20	side	side	NOUN
aiti-8364	83	21	column	column	NOUN
aiti-8364	83	22	,	,	PUNCT
aiti-8364	83	23	respectively	respectively	ADV
aiti-8364	83	24	.	.	PUNCT
aiti-8364	84	1	the	the	DET
aiti-8364	84	2	dataset	dataset	NOUN
aiti-8364	84	3	is	be	AUX
aiti-8364	84	4	robust	robust	ADJ
aiti-8364	84	5	and	and	CCONJ
aiti-8364	84	6	has	have	VERB
aiti-8364	84	7	an	an	DET
aiti-8364	84	8	adequate	adequate	ADJ
aiti-8364	84	9	number	number	NOUN
aiti-8364	84	10	of	of	ADP
aiti-8364	84	11	observations	observation	NOUN
aiti-8364	84	12	and	and	CCONJ
aiti-8364	84	13	features	feature	NOUN
aiti-8364	84	14	,	,	PUNCT
aiti-8364	84	15	which	which	PRON
aiti-8364	84	16	ensures	ensure	VERB
aiti-8364	84	17	the	the	DET
aiti-8364	84	18	quality	quality	NOUN
aiti-8364	84	19	of	of	ADP
aiti-8364	84	20	the	the	DET
aiti-8364	84	21	data	datum	NOUN
aiti-8364	84	22	and	and	CCONJ
aiti-8364	84	23	guarantees	guarantee	VERB
aiti-8364	84	24	a	a	DET
aiti-8364	84	25	model	model	NOUN
aiti-8364	84	26	with	with	ADP
aiti-8364	84	27	good	good	ADJ
aiti-8364	84	28	accuracy	accuracy	NOUN
aiti-8364	84	29	if	if	SCONJ
aiti-8364	84	30	modeled	model	VERB
aiti-8364	84	31	properly	properly	ADV
aiti-8364	84	32	.	.	PUNCT
aiti-8364	85	1	table	table	NOUN
aiti-8364	85	2	1	1	NUM
aiti-8364	85	3	the	the	DET
aiti-8364	85	4	description	description	NOUN
aiti-8364	85	5	of	of	ADP
aiti-8364	85	6	the	the	DET
aiti-8364	85	7	dataset	dataset	NOUN
aiti-8364	85	8	feature	feature	NOUN
aiti-8364	85	9	details	detail	NOUN
aiti-8364	85	10	description	description	NOUN
aiti-8364	85	11	of	of	ADP
aiti-8364	85	12	the	the	DET
aiti-8364	85	13	feature	feature	NOUN
aiti-8364	85	14	location	location	NOUN
aiti-8364	85	15	this	this	PRON
aiti-8364	85	16	is	be	AUX
aiti-8364	85	17	the	the	DET
aiti-8364	85	18	name	name	NOUN
aiti-8364	85	19	of	of	ADP
aiti-8364	85	20	the	the	DET
aiti-8364	85	21	location	location	NOUN
aiti-8364	85	22	maxtemp	maxtemp	NOUN
aiti-8364	85	23	max	max	PROPN
aiti-8364	85	24	temperature	temperature	NOUN
aiti-8364	85	25	recorded	record	VERB
aiti-8364	85	26	in	in	ADP
aiti-8364	85	27	degrees	degree	NOUN
aiti-8364	85	28	centigrade	centigrade	ADJ
aiti-8364	85	29	mintemp	mintemp	PROPN
aiti-8364	85	30	min	min	NOUN
aiti-8364	85	31	temperature	temperature	NOUN
aiti-8364	85	32	recorded	record	VERB
aiti-8364	85	33	in	in	ADP
aiti-8364	85	34	degrees	degree	NOUN
aiti-8364	85	35	centigrade	centigrade	ADJ
aiti-8364	85	36	windgustspeed	windgustspeed	VERB
aiti-8364	85	37	the	the	DET
aiti-8364	85	38	speed	speed	NOUN
aiti-8364	85	39	of	of	ADP
aiti-8364	85	40	wind	wind	NOUN
aiti-8364	85	41	gust	gust	NOUN
aiti-8364	85	42	in	in	ADP
aiti-8364	85	43	km	km	PROPN
aiti-8364	85	44	per	per	ADP
aiti-8364	85	45	hour	hour	NOUN
aiti-8364	85	46	windgustdir	windgustdir	NOUN
aiti-8364	85	47	the	the	DET
aiti-8364	85	48	direction	direction	NOUN
aiti-8364	85	49	of	of	ADP
aiti-8364	85	50	the	the	DET
aiti-8364	85	51	strongest	strong	ADJ
aiti-8364	85	52	wind	wind	NOUN
aiti-8364	85	53	gust	gust	NOUN
aiti-8364	85	54	windspeed9am	windspeed9am	VERB
aiti-8364	85	55	wind	wind	NOUN
aiti-8364	85	56	speed	speed	NOUN
aiti-8364	85	57	averaged	average	VERB
aiti-8364	85	58	over	over	ADP
aiti-8364	85	59	10	10	NUM
aiti-8364	85	60	minutes	minute	NOUN
aiti-8364	85	61	before	before	ADP
aiti-8364	85	62	9	9	NUM
aiti-8364	85	63	a.m.	a.m.	NOUN
aiti-8364	85	64	winddir9am	winddir9am	VERB
aiti-8364	85	65	the	the	DET
aiti-8364	85	66	direction	direction	NOUN
aiti-8364	85	67	of	of	ADP
aiti-8364	85	68	the	the	DET
aiti-8364	85	69	wind	wind	NOUN
aiti-8364	85	70	gust	gust	NOUN
aiti-8364	85	71	at	at	ADP
aiti-8364	85	72	9	9	NUM
aiti-8364	85	73	a.m.	a.m.	NOUN
aiti-8364	86	1	windspeed3pm	windspeed3pm	PROPN
aiti-8364	86	2	averaged	average	VERB
aiti-8364	86	3	wind	wind	NOUN
aiti-8364	86	4	speed	speed	NOUN
aiti-8364	86	5	over	over	ADP
aiti-8364	86	6	10	10	NUM
aiti-8364	86	7	min	min	NOUN
aiti-8364	86	8	before	before	ADP
aiti-8364	86	9	3	3	NUM
aiti-8364	86	10	p.m.	p.m.	NOUN
aiti-8364	86	11	winddir3pm	winddir3pm	PROPN
aiti-8364	86	12	the	the	DET
aiti-8364	86	13	direction	direction	NOUN
aiti-8364	86	14	of	of	ADP
aiti-8364	86	15	the	the	DET
aiti-8364	86	16	wind	wind	NOUN
aiti-8364	86	17	gust	gust	NOUN
aiti-8364	86	18	at	at	ADP
aiti-8364	86	19	3	3	NUM
aiti-8364	86	20	p.m.	p.m.	NOUN
aiti-8364	86	21	humidity9am	humidity9am	PROPN
aiti-8364	86	22	relative	relative	ADJ
aiti-8364	86	23	humidity	humidity	NOUN
aiti-8364	86	24	at	at	ADP
aiti-8364	86	25	9	9	NUM
aiti-8364	86	26	a.m.	a.m.	ADV
aiti-8364	86	27	measured	measure	VERB
aiti-8364	86	28	in	in	ADP
aiti-8364	86	29	percentage	percentage	NOUN
aiti-8364	86	30	humidity3pm	humidity3pm	PROPN
aiti-8364	86	31	relative	relative	ADJ
aiti-8364	86	32	humidity	humidity	NOUN
aiti-8364	86	33	at	at	ADP
aiti-8364	86	34	3	3	NUM
aiti-8364	86	35	p.m.	p.m.	NOUN
aiti-8364	86	36	measured	measure	VERB
aiti-8364	86	37	in	in	ADP
aiti-8364	86	38	percentage	percentage	NOUN
aiti-8364	86	39	temp9am	temp9am	PROPN
aiti-8364	86	40	the	the	DET
aiti-8364	86	41	temperature	temperature	NOUN
aiti-8364	86	42	at	at	ADP
aiti-8364	86	43	9	9	NUM
aiti-8364	86	44	a.m.	a.m.	ADV
aiti-8364	86	45	measured	measure	VERB
aiti-8364	86	46	in	in	ADP
aiti-8364	86	47	degrees	degree	NOUN
aiti-8364	86	48	celsius	celsius	NOUN
aiti-8364	86	49	temp3pm	temp3pm	PROPN
aiti-8364	86	50	the	the	DET
aiti-8364	86	51	temperature	temperature	NOUN
aiti-8364	86	52	at	at	ADP
aiti-8364	86	53	3	3	NUM
aiti-8364	86	54	p.m.	p.m.	NOUN
aiti-8364	86	55	measured	measure	VERB
aiti-8364	86	56	in	in	ADP
aiti-8364	86	57	degrees	degree	NOUN
aiti-8364	86	58	celsius	celsius	NOUN
aiti-8364	86	59	pressure9am	pressure9am	VERB
aiti-8364	86	60	atmospheric	atmospheric	ADJ
aiti-8364	86	61	pressure	pressure	NOUN
aiti-8364	86	62	at	at	ADP
aiti-8364	86	63	9	9	NUM
aiti-8364	86	64	a.m.	a.m.	ADV
aiti-8364	86	65	measured	measure	VERB
aiti-8364	86	66	in	in	ADP
aiti-8364	86	67	hpa	hpa	NOUN
aiti-8364	86	68	pressure3pm	pressure3pm	ADJ
aiti-8364	86	69	atmospheric	atmospheric	ADJ
aiti-8364	86	70	pressure	pressure	NOUN
aiti-8364	86	71	at	at	ADP
aiti-8364	86	72	3	3	NUM
aiti-8364	86	73	p.m.	p.m.	NOUN
aiti-8364	86	74	measured	measure	VERB
aiti-8364	86	75	in	in	ADP
aiti-8364	86	76	hpa	hpa	NOUN
aiti-8364	86	77	rainfall	rainfall	NOUN
aiti-8364	86	78	the	the	DET
aiti-8364	86	79	rainfall	rainfall	NOUN
aiti-8364	86	80	recorded	record	VERB
aiti-8364	86	81	for	for	ADP
aiti-8364	86	82	the	the	DET
aiti-8364	86	83	day	day	NOUN
aiti-8364	86	84	(	(	PUNCT
aiti-8364	86	85	mm	mm	NOUN
aiti-8364	86	86	)	)	PUNCT
aiti-8364	86	87	raintoday	raintoday	NOUN
aiti-8364	86	88	if	if	SCONJ
aiti-8364	86	89	precipitation	precipitation	NOUN
aiti-8364	86	90	in	in	ADP
aiti-8364	86	91	the	the	DET
aiti-8364	86	92	24	24	NUM
aiti-8364	86	93	h	h	NOUN
aiti-8364	86	94	to	to	ADP
aiti-8364	86	95	9	9	NUM
aiti-8364	86	96	a.m.	a.m.	NOUN
aiti-8364	86	97	exceeds	exceed	VERB
aiti-8364	86	98	1	1	NUM
aiti-8364	86	99	mm	mm	NOUN
aiti-8364	86	100	it	it	PRON
aiti-8364	86	101	will	will	AUX
aiti-8364	86	102	be	be	AUX
aiti-8364	86	103	1	1	NUM
aiti-8364	86	104	,	,	PUNCT
aiti-8364	86	105	otherwise	otherwise	ADV
aiti-8364	86	106	0	0	NUM
aiti-8364	87	1	(	(	PUNCT
aiti-8364	87	2	mm	mm	NOUN
aiti-8364	87	3	)	)	PUNCT
aiti-8364	87	4	rain	rain	NOUN
aiti-8364	87	5	tomorrow	tomorrow	NOUN
aiti-8364	87	6	if	if	SCONJ
aiti-8364	87	7	it	it	PRON
aiti-8364	87	8	will	will	AUX
aiti-8364	87	9	rain	rain	VERB
aiti-8364	87	10	or	or	CCONJ
aiti-8364	87	11	not	not	PART
aiti-8364	87	12	on	on	ADP
aiti-8364	87	13	the	the	DET
aiti-8364	87	14	next	next	ADJ
aiti-8364	87	15	day	day	NOUN
aiti-8364	87	16	,	,	PUNCT
aiti-8364	87	17	it	it	PRON
aiti-8364	87	18	is	be	AUX
aiti-8364	87	19	output	output	NOUN
aiti-8364	87	20	as	as	ADP
aiti-8364	87	21	binary	binary	ADJ
aiti-8364	87	22	target	target	NOUN
aiti-8364	87	23	variable	variable	ADJ
aiti-8364	87	24	3.2	3.2	NUM
aiti-8364	87	25	.	.	PUNCT
aiti-8364	88	1	pre	pre	ADJ
aiti-8364	88	2	-	-	ADJ
aiti-8364	88	3	processing	processing	ADJ
aiti-8364	88	4	data	datum	NOUN
aiti-8364	88	5	preprocessing	preprocessing	NOUN
aiti-8364	88	6	is	be	AUX
aiti-8364	88	7	a	a	DET
aiti-8364	88	8	crucial	crucial	ADJ
aiti-8364	88	9	step	step	NOUN
aiti-8364	88	10	that	that	PRON
aiti-8364	88	11	helps	help	VERB
aiti-8364	88	12	improve	improve	VERB
aiti-8364	88	13	the	the	DET
aiti-8364	88	14	quality	quality	NOUN
aiti-8364	88	15	of	of	ADP
aiti-8364	88	16	data	datum	NOUN
aiti-8364	88	17	to	to	PART
aiti-8364	88	18	advance	advance	VERB
aiti-8364	88	19	the	the	DET
aiti-8364	88	20	extraction	extraction	NOUN
aiti-8364	88	21	of	of	ADP
aiti-8364	88	22	important	important	ADJ
aiti-8364	88	23	bits	bit	NOUN
aiti-8364	88	24	of	of	ADP
aiti-8364	88	25	knowledge	knowledge	NOUN
aiti-8364	88	26	from	from	ADP
aiti-8364	88	27	the	the	DET
aiti-8364	88	28	data	datum	NOUN
aiti-8364	88	29	.	.	PUNCT
aiti-8364	89	1	it	it	PRON
aiti-8364	89	2	refers	refer	VERB
aiti-8364	89	3	to	to	ADP
aiti-8364	89	4	preparing	prepare	VERB
aiti-8364	89	5	the	the	DET
aiti-8364	89	6	raw	raw	ADJ
aiti-8364	89	7	data	datum	NOUN
aiti-8364	89	8	in	in	ADP
aiti-8364	89	9	a	a	DET
aiti-8364	89	10	format	format	NOUN
aiti-8364	89	11	that	that	PRON
aiti-8364	89	12	will	will	AUX
aiti-8364	89	13	be	be	AUX
aiti-8364	89	14	neat	neat	ADJ
aiti-8364	89	15	,	,	PUNCT
aiti-8364	89	16	clean	clean	ADJ
aiti-8364	89	17	,	,	PUNCT
aiti-8364	89	18	and	and	CCONJ
aiti-8364	89	19	understandable	understandable	ADJ
aiti-8364	89	20	to	to	ADP
aiti-8364	89	21	the	the	DET
aiti-8364	89	22	machine	machine	NOUN
aiti-8364	89	23	learning	learn	VERB
aiti-8364	89	24	model	model	NOUN
aiti-8364	89	25	.	.	PUNCT
aiti-8364	90	1	advances	advance	NOUN
aiti-8364	90	2	in	in	ADP
aiti-8364	90	3	technology	technology	NOUN
aiti-8364	90	4	innovation	innovation	NOUN
aiti-8364	90	5	,	,	PUNCT
aiti-8364	90	6	vol	vol	NOUN
aiti-8364	90	7	.	.	PROPN
aiti-8364	90	8	8	8	NUM
aiti-8364	90	9	,	,	PUNCT
aiti-8364	90	10	no	no	INTJ
aiti-8364	90	11	.	.	NOUN
aiti-8364	90	12	2	2	NUM
aiti-8364	90	13	,	,	PUNCT
aiti-8364	90	14	2023	2023	NUM
aiti-8364	90	15	,	,	PUNCT
aiti-8364	90	16	pp	pp	ADJ
aiti-8364	90	17	.	.	PUNCT
aiti-8364	91	1	111	111	NUM
aiti-8364	91	2	-	-	SYM
aiti-8364	91	3	120	120	NUM
aiti-8364	91	4	114	114	NUM
aiti-8364	91	5	the	the	DET
aiti-8364	91	6	flowchart	flowchart	NOUN
aiti-8364	91	7	of	of	ADP
aiti-8364	91	8	data	datum	NOUN
aiti-8364	91	9	preprocessing	preprocessing	NOUN
aiti-8364	91	10	steps	step	NOUN
aiti-8364	91	11	is	be	AUX
aiti-8364	91	12	illustrated	illustrate	VERB
aiti-8364	91	13	in	in	ADP
aiti-8364	91	14	fig	fig	NOUN
aiti-8364	91	15	.	.	PUNCT
aiti-8364	92	1	1	1	X
aiti-8364	92	2	.	.	X
aiti-8364	92	3	in	in	ADP
aiti-8364	92	4	the	the	DET
aiti-8364	92	5	subsequent	subsequent	ADJ
aiti-8364	92	6	section	section	NOUN
aiti-8364	92	7	.	.	PUNCT
aiti-8364	93	1	after	after	SCONJ
aiti-8364	93	2	the	the	DET
aiti-8364	93	3	data	data	NOUN
aiti-8364	93	4	is	be	AUX
aiti-8364	93	5	collected	collect	VERB
aiti-8364	93	6	,	,	PUNCT
aiti-8364	93	7	it	it	PRON
aiti-8364	93	8	goes	go	VERB
aiti-8364	93	9	through	through	ADP
aiti-8364	93	10	a	a	DET
aiti-8364	93	11	cleaning	cleaning	NOUN
aiti-8364	93	12	process	process	NOUN
aiti-8364	93	13	,	,	PUNCT
aiti-8364	93	14	and	and	CCONJ
aiti-8364	93	15	then	then	ADV
aiti-8364	93	16	the	the	DET
aiti-8364	93	17	missing	miss	VERB
aiti-8364	93	18	values	value	NOUN
aiti-8364	93	19	are	be	AUX
aiti-8364	93	20	handled	handle	VERB
aiti-8364	93	21	logically	logically	ADV
aiti-8364	93	22	.	.	PUNCT
aiti-8364	94	1	then	then	ADV
aiti-8364	94	2	the	the	DET
aiti-8364	94	3	data	data	NOUN
aiti-8364	94	4	encoding	encoding	NOUN
aiti-8364	94	5	is	be	AUX
aiti-8364	94	6	performed	perform	VERB
aiti-8364	94	7	,	,	PUNCT
aiti-8364	94	8	and	and	CCONJ
aiti-8364	94	9	important	important	ADJ
aiti-8364	94	10	features	feature	NOUN
aiti-8364	94	11	get	get	AUX
aiti-8364	94	12	selected	select	VERB
aiti-8364	94	13	.	.	PUNCT
aiti-8364	95	1	eventually	eventually	ADV
aiti-8364	95	2	feature	feature	VERB
aiti-8364	95	3	scaling	scaling	NOUN
aiti-8364	95	4	process	process	NOUN
aiti-8364	95	5	is	be	AUX
aiti-8364	95	6	used	use	VERB
aiti-8364	95	7	to	to	PART
aiti-8364	95	8	bring	bring	VERB
aiti-8364	95	9	all	all	DET
aiti-8364	95	10	the	the	DET
aiti-8364	95	11	features	feature	NOUN
aiti-8364	95	12	on	on	ADP
aiti-8364	95	13	a	a	DET
aiti-8364	95	14	similar	similar	ADJ
aiti-8364	95	15	scale	scale	NOUN
aiti-8364	95	16	,	,	PUNCT
aiti-8364	95	17	and	and	CCONJ
aiti-8364	95	18	10	10	NUM
aiti-8364	95	19	-	-	ADJ
aiti-8364	95	20	fold	fold	ADJ
aiti-8364	95	21	cross	cross	NOUN
aiti-8364	95	22	-	-	NOUN
aiti-8364	95	23	validation	validation	ADJ
aiti-8364	95	24	(	(	PUNCT
aiti-8364	95	25	cv	cv	NOUN
aiti-8364	95	26	)	)	PUNCT
aiti-8364	95	27	is	be	AUX
aiti-8364	95	28	implemented	implement	VERB
aiti-8364	95	29	.	.	PUNCT
aiti-8364	96	1	each	each	DET
aiti-8364	96	2	stage	stage	NOUN
aiti-8364	96	3	of	of	ADP
aiti-8364	96	4	data	datum	NOUN
aiti-8364	96	5	preprocessing	preprocessing	NOUN
aiti-8364	96	6	is	be	AUX
aiti-8364	96	7	described	describe	VERB
aiti-8364	96	8	elaborately	elaborately	ADV
aiti-8364	96	9	below	below	ADV
aiti-8364	96	10	.	.	PUNCT
aiti-8364	97	1	data	datum	NOUN
aiti-8364	97	2	cleaning	clean	VERB
aiti-8364	97	3	is	be	AUX
aiti-8364	97	4	the	the	DET
aiti-8364	97	5	method	method	NOUN
aiti-8364	97	6	of	of	ADP
aiti-8364	97	7	preparing	prepare	VERB
aiti-8364	97	8	data	datum	NOUN
aiti-8364	97	9	for	for	ADP
aiti-8364	97	10	analysis	analysis	NOUN
aiti-8364	97	11	by	by	ADP
aiti-8364	97	12	removing	remove	VERB
aiti-8364	97	13	or	or	CCONJ
aiti-8364	97	14	adjusting	adjust	VERB
aiti-8364	97	15	incorrect	incorrect	ADJ
aiti-8364	97	16	,	,	PUNCT
aiti-8364	97	17	fragmented	fragmented	ADJ
aiti-8364	97	18	,	,	PUNCT
aiti-8364	97	19	unimportant	unimportant	ADJ
aiti-8364	97	20	,	,	PUNCT
aiti-8364	97	21	duplicated	duplicate	VERB
aiti-8364	97	22	,	,	PUNCT
aiti-8364	97	23	or	or	CCONJ
aiti-8364	97	24	improperly	improperly	ADV
aiti-8364	97	25	organized	organize	VERB
aiti-8364	97	26	data	datum	NOUN
aiti-8364	97	27	.	.	PUNCT
aiti-8364	98	1	it	it	PRON
aiti-8364	98	2	includes	include	VERB
aiti-8364	98	3	further	further	ADJ
aiti-8364	98	4	tuning	tuning	NOUN
aiti-8364	98	5	of	of	ADP
aiti-8364	98	6	data	datum	NOUN
aiti-8364	98	7	by	by	ADP
aiti-8364	98	8	fixing	fix	VERB
aiti-8364	98	9	spelling	spelling	NOUN
aiti-8364	98	10	,	,	PUNCT
aiti-8364	98	11	and	and	CCONJ
aiti-8364	98	12	syntax	syntax	NOUN
aiti-8364	98	13	errors	error	NOUN
aiti-8364	98	14	,	,	PUNCT
aiti-8364	98	15	and	and	CCONJ
aiti-8364	98	16	adjusting	adjust	VERB
aiti-8364	98	17	mistakes	mistake	NOUN
aiti-8364	98	18	,	,	PUNCT
aiti-8364	98	19	such	such	ADJ
aiti-8364	98	20	as	as	ADP
aiti-8364	98	21	dealing	deal	VERB
aiti-8364	98	22	with	with	ADP
aiti-8364	98	23	empty	empty	ADJ
aiti-8364	98	24	data	datum	NOUN
aiti-8364	98	25	,	,	PUNCT
aiti-8364	98	26	invalid	invalid	ADJ
aiti-8364	98	27	values	value	NOUN
aiti-8364	98	28	,	,	PUNCT
aiti-8364	98	29	and	and	CCONJ
aiti-8364	98	30	recognizing	recognize	VERB
aiti-8364	98	31	duplicate	duplicate	ADJ
aiti-8364	98	32	data	datum	NOUN
aiti-8364	98	33	points	point	NOUN
aiti-8364	98	34	.	.	PUNCT
aiti-8364	99	1	there	there	PRON
aiti-8364	99	2	were	be	VERB
aiti-8364	99	3	some	some	DET
aiti-8364	99	4	missing	missing	ADJ
aiti-8364	99	5	,	,	PUNCT
aiti-8364	99	6	some	some	DET
aiti-8364	99	7	duplicates	duplicate	NOUN
aiti-8364	99	8	,	,	PUNCT
aiti-8364	99	9	some	some	DET
aiti-8364	99	10	invalid	invalid	ADJ
aiti-8364	99	11	,	,	PUNCT
aiti-8364	99	12	and	and	CCONJ
aiti-8364	99	13	some	some	DET
aiti-8364	99	14	incomplete	incomplete	ADJ
aiti-8364	99	15	values	value	NOUN
aiti-8364	99	16	in	in	ADP
aiti-8364	99	17	this	this	DET
aiti-8364	99	18	dataset	dataset	NOUN
aiti-8364	99	19	.	.	PUNCT
aiti-8364	100	1	the	the	DET
aiti-8364	100	2	following	follow	VERB
aiti-8364	100	3	actions	action	NOUN
aiti-8364	100	4	have	have	AUX
aiti-8364	100	5	been	be	AUX
aiti-8364	100	6	taken	take	VERB
aiti-8364	100	7	to	to	PART
aiti-8364	100	8	correct	correct	VERB
aiti-8364	100	9	those	those	DET
aiti-8364	100	10	data	datum	NOUN
aiti-8364	100	11	.	.	PUNCT
aiti-8364	101	1	(	(	PUNCT
aiti-8364	101	2	1	1	X
aiti-8364	101	3	)	)	PUNCT
aiti-8364	101	4	a	a	DET
aiti-8364	101	5	part	part	NOUN
aiti-8364	101	6	of	of	ADP
aiti-8364	101	7	the	the	DET
aiti-8364	101	8	data	data	NOUN
aiti-8364	101	9	points	point	NOUN
aiti-8364	101	10	is	be	AUX
aiti-8364	101	11	repeated	repeat	VERB
aiti-8364	101	12	in	in	ADP
aiti-8364	101	13	row	row	NOUN
aiti-8364	101	14	and	and	CCONJ
aiti-8364	101	15	column	column	NOUN
aiti-8364	101	16	segments	segment	NOUN
aiti-8364	101	17	.	.	PUNCT
aiti-8364	102	1	hence	hence	ADV
aiti-8364	102	2	,	,	PUNCT
aiti-8364	102	3	all	all	DET
aiti-8364	102	4	the	the	DET
aiti-8364	102	5	duplicate	duplicate	ADJ
aiti-8364	102	6	data	datum	NOUN
aiti-8364	102	7	was	be	AUX
aiti-8364	102	8	removed	remove	VERB
aiti-8364	102	9	,	,	PUNCT
aiti-8364	102	10	and	and	CCONJ
aiti-8364	102	11	only	only	ADV
aiti-8364	102	12	a	a	DET
aiti-8364	102	13	single	single	ADJ
aiti-8364	102	14	instance	instance	NOUN
aiti-8364	102	15	was	be	AUX
aiti-8364	102	16	kept	keep	VERB
aiti-8364	102	17	.	.	PUNCT
aiti-8364	103	1	(	(	PUNCT
aiti-8364	103	2	2	2	X
aiti-8364	103	3	)	)	PUNCT
aiti-8364	103	4	a	a	DET
aiti-8364	103	5	few	few	ADJ
aiti-8364	103	6	rows	row	NOUN
aiti-8364	103	7	and	and	CCONJ
aiti-8364	103	8	columns	column	NOUN
aiti-8364	103	9	were	be	AUX
aiti-8364	103	10	almost	almost	ADV
aiti-8364	103	11	empty	empty	ADJ
aiti-8364	103	12	.	.	PUNCT
aiti-8364	104	1	that	that	PRON
aiti-8364	104	2	corresponding	correspond	VERB
aiti-8364	104	3	row	row	NOUN
aiti-8364	104	4	or	or	CCONJ
aiti-8364	104	5	column	column	NOUN
aiti-8364	104	6	has	have	AUX
aiti-8364	104	7	been	be	AUX
aiti-8364	104	8	removed	remove	VERB
aiti-8364	104	9	from	from	ADP
aiti-8364	104	10	the	the	DET
aiti-8364	104	11	dataset	dataset	NOUN
aiti-8364	104	12	.	.	PUNCT
aiti-8364	105	1	(	(	PUNCT
aiti-8364	105	2	3	3	X
aiti-8364	105	3	)	)	PUNCT
aiti-8364	105	4	some	some	DET
aiti-8364	105	5	instances	instance	NOUN
aiti-8364	105	6	were	be	AUX
aiti-8364	105	7	shown	show	VERB
aiti-8364	105	8	to	to	PART
aiti-8364	105	9	have	have	VERB
aiti-8364	105	10	some	some	DET
aiti-8364	105	11	invalid	invalid	ADJ
aiti-8364	105	12	values	value	NOUN
aiti-8364	105	13	.	.	PUNCT
aiti-8364	106	1	that	that	DET
aiti-8364	106	2	instance	instance	NOUN
aiti-8364	106	3	was	be	AUX
aiti-8364	106	4	also	also	ADV
aiti-8364	106	5	deleted	delete	VERB
aiti-8364	106	6	to	to	PART
aiti-8364	106	7	make	make	VERB
aiti-8364	106	8	the	the	DET
aiti-8364	106	9	dataset	dataset	NOUN
aiti-8364	106	10	solid	solid	ADJ
aiti-8364	106	11	and	and	CCONJ
aiti-8364	106	12	readable	readable	ADJ
aiti-8364	106	13	.	.	PUNCT
aiti-8364	107	1	fig	fig	NOUN
aiti-8364	107	2	.	.	PUNCT
aiti-8364	108	1	1	1	NUM
aiti-8364	108	2	the	the	DET
aiti-8364	108	3	entire	entire	ADJ
aiti-8364	108	4	data	datum	NOUN
aiti-8364	108	5	preprocessing	preprocessing	NOUN
aiti-8364	108	6	procedure	procedure	NOUN
aiti-8364	108	7	missing	miss	VERB
aiti-8364	108	8	values	value	NOUN
aiti-8364	108	9	are	be	AUX
aiti-8364	108	10	a	a	DET
aiti-8364	108	11	common	common	ADJ
aiti-8364	108	12	occurrence	occurrence	NOUN
aiti-8364	108	13	in	in	ADP
aiti-8364	108	14	the	the	DET
aiti-8364	108	15	dataset	dataset	NOUN
aiti-8364	108	16	.	.	PUNCT
aiti-8364	109	1	therefore	therefore	ADV
aiti-8364	109	2	,	,	PUNCT
aiti-8364	109	3	they	they	PRON
aiti-8364	109	4	need	need	VERB
aiti-8364	109	5	to	to	PART
aiti-8364	109	6	be	be	AUX
aiti-8364	109	7	handled	handle	VERB
aiti-8364	109	8	to	to	PART
aiti-8364	109	9	prepare	prepare	VERB
aiti-8364	109	10	the	the	DET
aiti-8364	109	11	dataset	dataset	NOUN
aiti-8364	109	12	properly	properly	ADV
aiti-8364	109	13	.	.	PUNCT
aiti-8364	110	1	if	if	SCONJ
aiti-8364	110	2	the	the	DET
aiti-8364	110	3	data	datum	NOUN
aiti-8364	110	4	can	can	AUX
aiti-8364	110	5	not	not	PART
aiti-8364	110	6	pass	pass	VERB
aiti-8364	110	7	the	the	DET
aiti-8364	110	8	statistical	statistical	ADJ
aiti-8364	110	9	test	test	NOUN
aiti-8364	110	10	,	,	PUNCT
aiti-8364	110	11	then	then	ADV
aiti-8364	110	12	it	it	PRON
aiti-8364	110	13	is	be	AUX
aiti-8364	110	14	removed	remove	VERB
aiti-8364	110	15	from	from	ADP
aiti-8364	110	16	the	the	DET
aiti-8364	110	17	dataset	dataset	NOUN
aiti-8364	110	18	.	.	PUNCT
aiti-8364	111	1	besides	besides	SCONJ
aiti-8364	111	2	,	,	PUNCT
aiti-8364	111	3	most	most	ADJ
aiti-8364	111	4	predictive	predictive	ADJ
aiti-8364	111	5	algorithms	algorithm	NOUN
aiti-8364	111	6	ca	can	AUX
aiti-8364	111	7	n't	not	PART
aiti-8364	111	8	handle	handle	VERB
aiti-8364	111	9	any	any	DET
aiti-8364	111	10	missing	missing	ADJ
aiti-8364	111	11	value	value	NOUN
aiti-8364	111	12	.	.	PUNCT
aiti-8364	112	1	hence	hence	ADV
aiti-8364	112	2	,	,	PUNCT
aiti-8364	112	3	this	this	DET
aiti-8364	112	4	issue	issue	NOUN
aiti-8364	112	5	must	must	AUX
aiti-8364	112	6	be	be	AUX
aiti-8364	112	7	solved	solve	VERB
aiti-8364	112	8	before	before	SCONJ
aiti-8364	112	9	the	the	DET
aiti-8364	112	10	data	data	NOUN
aiti-8364	112	11	is	be	AUX
aiti-8364	112	12	fed	feed	VERB
aiti-8364	112	13	into	into	ADP
aiti-8364	112	14	the	the	DET
aiti-8364	112	15	model	model	NOUN
aiti-8364	112	16	.	.	PUNCT
aiti-8364	113	1	in	in	ADP
aiti-8364	113	2	most	most	ADJ
aiti-8364	113	3	machine	machine	NOUN
aiti-8364	113	4	learning	learn	VERB
aiti-8364	113	5	work	work	NOUN
aiti-8364	113	6	,	,	PUNCT
aiti-8364	113	7	people	people	NOUN
aiti-8364	113	8	utilize	utilize	VERB
aiti-8364	113	9	various	various	ADJ
aiti-8364	113	10	techniques	technique	NOUN
aiti-8364	113	11	such	such	ADJ
aiti-8364	113	12	as	as	ADP
aiti-8364	113	13	mean	mean	ADJ
aiti-8364	113	14	,	,	PUNCT
aiti-8364	113	15	median	median	ADJ
aiti-8364	113	16	,	,	PUNCT
aiti-8364	113	17	and	and	CCONJ
aiti-8364	113	18	mode	mode	NOUN
aiti-8364	113	19	methods	method	NOUN
aiti-8364	113	20	to	to	PART
aiti-8364	113	21	handle	handle	VERB
aiti-8364	113	22	missing	miss	VERB
aiti-8364	113	23	values	value	NOUN
aiti-8364	113	24	.	.	PUNCT
aiti-8364	114	1	but	but	CCONJ
aiti-8364	114	2	the	the	DET
aiti-8364	114	3	most	most	ADV
aiti-8364	114	4	appropriate	appropriate	ADJ
aiti-8364	114	5	method	method	NOUN
aiti-8364	114	6	for	for	ADP
aiti-8364	114	7	managing	manage	VERB
aiti-8364	114	8	missing	miss	VERB
aiti-8364	114	9	data	datum	NOUN
aiti-8364	114	10	is	be	AUX
aiti-8364	114	11	to	to	PART
aiti-8364	114	12	remove	remove	VERB
aiti-8364	114	13	the	the	DET
aiti-8364	114	14	full	full	ADJ
aiti-8364	114	15	row	row	NOUN
aiti-8364	114	16	for	for	ADP
aiti-8364	114	17	categorical	categorical	ADJ
aiti-8364	114	18	features	feature	NOUN
aiti-8364	114	19	and	and	CCONJ
aiti-8364	114	20	replace	replace	VERB
aiti-8364	114	21	the	the	DET
aiti-8364	114	22	missing	miss	VERB
aiti-8364	114	23	data	datum	NOUN
aiti-8364	114	24	with	with	ADP
aiti-8364	114	25	the	the	DET
aiti-8364	114	26	nearest	near	ADJ
aiti-8364	114	27	neighbors	neighbor	NOUN
aiti-8364	114	28	for	for	ADP
aiti-8364	114	29	numerical	numerical	ADJ
aiti-8364	114	30	data	datum	NOUN
aiti-8364	114	31	.	.	PUNCT
aiti-8364	115	1	the	the	DET
aiti-8364	115	2	k	k	NOUN
aiti-8364	115	3	-	-	PUNCT
aiti-8364	115	4	nearest	near	ADJ
aiti-8364	115	5	neighbors	neighbor	NOUN
aiti-8364	115	6	(	(	PUNCT
aiti-8364	115	7	knn)-based	knn)-base	VERB
aiti-8364	115	8	imputation	imputation	NOUN
aiti-8364	115	9	method	method	NOUN
aiti-8364	115	10	has	have	AUX
aiti-8364	115	11	been	be	AUX
aiti-8364	115	12	implemented	implement	VERB
aiti-8364	115	13	in	in	ADP
aiti-8364	115	14	this	this	DET
aiti-8364	115	15	work	work	NOUN
aiti-8364	115	16	for	for	ADP
aiti-8364	115	17	a	a	DET
aiti-8364	115	18	more	more	ADV
aiti-8364	115	19	accurate	accurate	ADJ
aiti-8364	115	20	missing	missing	ADJ
aiti-8364	115	21	value	value	NOUN
aiti-8364	115	22	imputation	imputation	NOUN
aiti-8364	115	23	.	.	PUNCT
aiti-8364	116	1	the	the	DET
aiti-8364	116	2	not	not	PART
aiti-8364	116	3	-	-	PUNCT
aiti-8364	116	4	a	a	DET
aiti-8364	116	5	-	-	PUNCT
aiti-8364	116	6	number	number	NOUN
aiti-8364	116	7	(	(	PUNCT
aiti-8364	116	8	nan	nan	PROPN
aiti-8364	116	9	)	)	PUNCT
aiti-8364	116	10	data	datum	NOUN
aiti-8364	116	11	has	have	AUX
aiti-8364	116	12	been	be	AUX
aiti-8364	116	13	replaced	replace	VERB
aiti-8364	116	14	by	by	ADP
aiti-8364	116	15	getting	get	VERB
aiti-8364	116	16	the	the	DET
aiti-8364	116	17	nearest	near	ADJ
aiti-8364	116	18	value	value	NOUN
aiti-8364	116	19	by	by	ADP
aiti-8364	116	20	considering	consider	VERB
aiti-8364	116	21	the	the	DET
aiti-8364	116	22	three	three	NUM
aiti-8364	116	23	neighbors	neighbor	NOUN
aiti-8364	116	24	.	.	PUNCT
aiti-8364	117	1	categorical	categorical	ADJ
aiti-8364	117	2	data	datum	NOUN
aiti-8364	117	3	could	could	AUX
aiti-8364	117	4	be	be	AUX
aiti-8364	117	5	a	a	DET
aiti-8364	117	6	subjective	subjective	ADJ
aiti-8364	117	7	feature	feature	NOUN
aiti-8364	117	8	whose	whose	DET
aiti-8364	117	9	values	value	NOUN
aiti-8364	117	10	are	be	AUX
aiti-8364	117	11	taken	take	VERB
aiti-8364	117	12	by	by	ADP
aiti-8364	117	13	label	label	NOUN
aiti-8364	117	14	encoding	encoding	NOUN
aiti-8364	117	15	or	or	CCONJ
aiti-8364	117	16	one	one	NUM
aiti-8364	117	17	-	-	PUNCT
aiti-8364	117	18	hot	hot	ADJ
aiti-8364	117	19	representation	representation	NOUN
aiti-8364	117	20	.	.	PUNCT
aiti-8364	118	1	it	it	PRON
aiti-8364	118	2	implies	imply	VERB
aiti-8364	118	3	that	that	SCONJ
aiti-8364	118	4	categorical	categorical	ADJ
aiti-8364	118	5	data	datum	NOUN
aiti-8364	118	6	must	must	AUX
aiti-8364	118	7	be	be	AUX
aiti-8364	118	8	encoded	encode	VERB
aiti-8364	118	9	into	into	ADP
aiti-8364	118	10	numbers	number	NOUN
aiti-8364	118	11	before	before	SCONJ
aiti-8364	118	12	it	it	PRON
aiti-8364	118	13	is	be	AUX
aiti-8364	118	14	fed	feed	VERB
aiti-8364	118	15	to	to	ADP
aiti-8364	118	16	the	the	DET
aiti-8364	118	17	model	model	NOUN
aiti-8364	118	18	.	.	PUNCT
aiti-8364	119	1	in	in	ADP
aiti-8364	119	2	the	the	DET
aiti-8364	119	3	dataset	dataset	NOUN
aiti-8364	119	4	,	,	PUNCT
aiti-8364	119	5	there	there	PRON
aiti-8364	119	6	are	be	VERB
aiti-8364	119	7	six	six	NUM
aiti-8364	119	8	categorical	categorical	ADJ
aiti-8364	119	9	factors	factor	NOUN
aiti-8364	119	10	“	"	PUNCT
aiti-8364	119	11	location	location	NOUN
aiti-8364	119	12	,	,	PUNCT
aiti-8364	119	13	”	"	PUNCT
aiti-8364	119	14	“	"	PUNCT
aiti-8364	119	15	windgustdir	windgustdir	NOUN
aiti-8364	119	16	,	,	PUNCT
aiti-8364	119	17	”	"	PUNCT
aiti-8364	119	18	“	"	PUNCT
aiti-8364	119	19	winddir9am	winddir9am	NOUN
aiti-8364	119	20	,	,	PUNCT
aiti-8364	119	21	”	"	PUNCT
aiti-8364	119	22	“	"	PUNCT
aiti-8364	119	23	winddir3pm	winddir3pm	PROPN
aiti-8364	119	24	,	,	PUNCT
aiti-8364	119	25	”	"	PUNCT
aiti-8364	119	26	“	"	PUNCT
aiti-8364	119	27	raintoday	raintoday	NOUN
aiti-8364	119	28	,	,	PUNCT
aiti-8364	119	29	”	"	PUNCT
aiti-8364	119	30	and	and	CCONJ
aiti-8364	119	31	“	"	PUNCT
aiti-8364	119	32	rain	rain	NOUN
aiti-8364	119	33	tomorrow	tomorrow	NOUN
aiti-8364	119	34	.	.	PUNCT
aiti-8364	119	35	”	"	PUNCT
aiti-8364	120	1	one	one	NUM
aiti-8364	120	2	hot	hot	ADJ
aiti-8364	120	3	encoding	encoding	NOUN
aiti-8364	120	4	is	be	AUX
aiti-8364	120	5	one	one	NUM
aiti-8364	120	6	of	of	ADP
aiti-8364	120	7	the	the	DET
aiti-8364	120	8	most	most	ADV
aiti-8364	120	9	popular	popular	ADJ
aiti-8364	120	10	methods	method	NOUN
aiti-8364	120	11	for	for	ADP
aiti-8364	120	12	encoding	encode	VERB
aiti-8364	120	13	categorical	categorical	ADJ
aiti-8364	120	14	variables	variable	NOUN
aiti-8364	120	15	,	,	PUNCT
aiti-8364	120	16	which	which	PRON
aiti-8364	120	17	has	have	AUX
aiti-8364	120	18	been	be	AUX
aiti-8364	120	19	used	use	VERB
aiti-8364	120	20	in	in	ADP
aiti-8364	120	21	this	this	DET
aiti-8364	120	22	project	project	NOUN
aiti-8364	120	23	.	.	PUNCT
aiti-8364	121	1	it	it	PRON
aiti-8364	121	2	is	be	AUX
aiti-8364	121	3	one	one	NUM
aiti-8364	121	4	of	of	ADP
aiti-8364	121	5	the	the	DET
aiti-8364	121	6	widespread	widespread	ADJ
aiti-8364	121	7	approaches	approach	NOUN
aiti-8364	121	8	,	,	PUNCT
aiti-8364	121	9	and	and	CCONJ
aiti-8364	121	10	it	it	PRON
aiti-8364	121	11	works	work	VERB
aiti-8364	121	12	well	well	ADV
aiti-8364	121	13	unless	unless	SCONJ
aiti-8364	121	14	the	the	DET
aiti-8364	121	15	categorical	categorical	ADJ
aiti-8364	121	16	variables	variable	NOUN
aiti-8364	121	17	count	count	VERB
aiti-8364	121	18	is	be	AUX
aiti-8364	121	19	too	too	ADV
aiti-8364	121	20	high	high	ADJ
aiti-8364	121	21	.	.	PUNCT
aiti-8364	122	1	it	it	PRON
aiti-8364	122	2	makes	make	VERB
aiti-8364	122	3	a	a	DET
aiti-8364	122	4	new	new	ADJ
aiti-8364	122	5	binary	binary	ADJ
aiti-8364	122	6	column	column	NOUN
aiti-8364	122	7	for	for	ADP
aiti-8364	122	8	each	each	DET
aiti-8364	122	9	category	category	NOUN
aiti-8364	122	10	,	,	PUNCT
aiti-8364	122	11	demonstrating	demonstrate	VERB
aiti-8364	122	12	the	the	DET
aiti-8364	122	13	presence	presence	NOUN
aiti-8364	122	14	of	of	ADP
aiti-8364	122	15	each	each	DET
aiti-8364	122	16	possible	possible	ADJ
aiti-8364	122	17	value	value	NOUN
aiti-8364	122	18	from	from	ADP
aiti-8364	122	19	the	the	DET
aiti-8364	122	20	categorical	categorical	ADJ
aiti-8364	122	21	data	datum	NOUN
aiti-8364	122	22	.	.	PUNCT
aiti-8364	123	1	feature	feature	NOUN
aiti-8364	123	2	selection	selection	NOUN
aiti-8364	123	3	is	be	AUX
aiti-8364	123	4	the	the	DET
aiti-8364	123	5	strategy	strategy	NOUN
aiti-8364	123	6	to	to	PART
aiti-8364	123	7	figure	figure	VERB
aiti-8364	123	8	out	out	ADP
aiti-8364	123	9	highly	highly	ADV
aiti-8364	123	10	related	relate	VERB
aiti-8364	123	11	input	input	NOUN
aiti-8364	123	12	variables	variable	NOUN
aiti-8364	123	13	when	when	SCONJ
aiti-8364	123	14	creating	create	VERB
aiti-8364	123	15	a	a	DET
aiti-8364	123	16	predictive	predictive	ADJ
aiti-8364	123	17	model	model	NOUN
aiti-8364	123	18	.	.	PUNCT
aiti-8364	124	1	reducing	reduce	VERB
aiti-8364	124	2	the	the	DET
aiti-8364	124	3	number	number	NOUN
aiti-8364	124	4	of	of	ADP
aiti-8364	124	5	input	input	NOUN
aiti-8364	124	6	variables	variable	NOUN
aiti-8364	124	7	is	be	AUX
aiti-8364	124	8	desirable	desirable	ADJ
aiti-8364	124	9	to	to	PART
aiti-8364	124	10	reduce	reduce	VERB
aiti-8364	124	11	the	the	DET
aiti-8364	124	12	computational	computational	ADJ
aiti-8364	124	13	cost	cost	NOUN
aiti-8364	124	14	in	in	ADP
aiti-8364	124	15	modeling	modeling	NOUN
aiti-8364	124	16	and	and	CCONJ
aiti-8364	124	17	increase	increase	VERB
aiti-8364	124	18	the	the	DET
aiti-8364	124	19	model	model	NOUN
aiti-8364	124	20	’s	’s	PART
aiti-8364	124	21	performance	performance	NOUN
aiti-8364	124	22	.	.	PUNCT
aiti-8364	125	1	the	the	DET
aiti-8364	125	2	dataset	dataset	NOUN
aiti-8364	125	3	contains	contain	VERB
aiti-8364	125	4	21	21	NUM
aiti-8364	125	5	components	component	NOUN
aiti-8364	125	6	,	,	PUNCT
aiti-8364	125	7	and	and	CCONJ
aiti-8364	125	8	the	the	DET
aiti-8364	125	9	p	p	NOUN
aiti-8364	125	10	-	-	PUNCT
aiti-8364	125	11	value	value	NOUN
aiti-8364	125	12	has	have	AUX
aiti-8364	125	13	been	be	AUX
aiti-8364	125	14	tested	test	VERB
aiti-8364	125	15	to	to	PART
aiti-8364	125	16	check	check	VERB
aiti-8364	125	17	the	the	DET
aiti-8364	125	18	probability	probability	NOUN
aiti-8364	125	19	of	of	ADP
aiti-8364	125	20	the	the	DET
aiti-8364	125	21	null	null	ADJ
aiti-8364	125	22	hypothesis	hypothesis	NOUN
aiti-8364	125	23	.	.	PUNCT
aiti-8364	126	1	features	feature	VERB
aiti-8364	126	2	advances	advance	NOUN
aiti-8364	126	3	in	in	ADP
aiti-8364	126	4	technology	technology	NOUN
aiti-8364	126	5	innovation	innovation	NOUN
aiti-8364	126	6	,	,	PUNCT
aiti-8364	126	7	vol	vol	NOUN
aiti-8364	126	8	.	.	PROPN
aiti-8364	126	9	8	8	NUM
aiti-8364	126	10	,	,	PUNCT
aiti-8364	126	11	no	no	INTJ
aiti-8364	126	12	.	.	NOUN
aiti-8364	126	13	2	2	NUM
aiti-8364	126	14	,	,	PUNCT
aiti-8364	126	15	2023	2023	NUM
aiti-8364	126	16	,	,	PUNCT
aiti-8364	126	17	pp	pp	ADJ
aiti-8364	126	18	.	.	PUNCT
aiti-8364	127	1	111	111	NUM
aiti-8364	127	2	-	-	SYM
aiti-8364	127	3	120	120	NUM
aiti-8364	127	4	115	115	NUM
aiti-8364	127	5	with	with	ADP
aiti-8364	127	6	a	a	DET
aiti-8364	127	7	p	p	NOUN
aiti-8364	127	8	-	-	PUNCT
aiti-8364	127	9	value	value	NOUN
aiti-8364	127	10	less	less	ADJ
aiti-8364	127	11	than	than	ADP
aiti-8364	127	12	0.05	0.05	NUM
aiti-8364	127	13	have	have	AUX
aiti-8364	127	14	been	be	AUX
aiti-8364	127	15	discarded	discard	VERB
aiti-8364	127	16	.	.	PUNCT
aiti-8364	128	1	after	after	ADP
aiti-8364	128	2	checking	check	VERB
aiti-8364	128	3	multicollinearity	multicollinearity	NOUN
aiti-8364	128	4	,	,	PUNCT
aiti-8364	128	5	a	a	DET
aiti-8364	128	6	vital	vital	ADJ
aiti-8364	128	7	separation	separation	NOUN
aiti-8364	128	8	is	be	AUX
aiti-8364	128	9	maintained	maintain	VERB
aiti-8364	128	10	from	from	ADP
aiti-8364	128	11	those	those	DET
aiti-8364	128	12	components	component	NOUN
aiti-8364	128	13	which	which	PRON
aiti-8364	128	14	appear	appear	VERB
aiti-8364	128	15	redundant	redundant	ADJ
aiti-8364	128	16	and	and	CCONJ
aiti-8364	128	17	do	do	AUX
aiti-8364	128	18	n’t	not	PART
aiti-8364	128	19	back	back	VERB
aiti-8364	128	20	the	the	DET
aiti-8364	128	21	p	p	ADJ
aiti-8364	128	22	-	-	PUNCT
aiti-8364	128	23	value	value	NOUN
aiti-8364	128	24	assumption	assumption	NOUN
aiti-8364	128	25	.	.	PUNCT
aiti-8364	129	1	besides	besides	SCONJ
aiti-8364	129	2	,	,	PUNCT
aiti-8364	129	3	to	to	PART
aiti-8364	129	4	handle	handle	VERB
aiti-8364	129	5	the	the	DET
aiti-8364	129	6	numerical	numerical	ADJ
aiti-8364	129	7	feature	feature	NOUN
aiti-8364	129	8	,	,	PUNCT
aiti-8364	129	9	the	the	DET
aiti-8364	129	10	pearson	pearson	PROPN
aiti-8364	129	11	correlation	correlation	NOUN
aiti-8364	129	12	coefficient	coefficient	NOUN
aiti-8364	129	13	has	have	AUX
aiti-8364	129	14	been	be	AUX
aiti-8364	129	15	used	use	VERB
aiti-8364	129	16	,	,	PUNCT
aiti-8364	129	17	which	which	PRON
aiti-8364	129	18	is	be	AUX
aiti-8364	129	19	characterized	characterize	VERB
aiti-8364	129	20	within	within	ADP
aiti-8364	129	21	condition-1	condition-1	NOUN
aiti-8364	129	22	,	,	PUNCT
aiti-8364	129	23	and	and	CCONJ
aiti-8364	129	24	for	for	ADP
aiti-8364	129	25	categorical	categorical	ADJ
aiti-8364	129	26	features	feature	NOUN
aiti-8364	129	27	,	,	PUNCT
aiti-8364	129	28	anova	anova	PROPN
aiti-8364	129	29	-	-	PROPN
aiti-8364	129	30	f	f	PROPN
aiti-8364	129	31	has	have	AUX
aiti-8364	129	32	been	be	AUX
aiti-8364	129	33	used	use	VERB
aiti-8364	129	34	,	,	PUNCT
aiti-8364	129	35	which	which	PRON
aiti-8364	129	36	is	be	AUX
aiti-8364	129	37	described	describe	VERB
aiti-8364	129	38	as	as	ADP
aiti-8364	129	39	:	:	PUNCT
aiti-8364	129	40	(	(	PUNCT
aiti-8364	129	41	)	)	PUNCT
aiti-8364	129	42	(	(	PUNCT
aiti-8364	129	43	)	)	PUNCT
aiti-8364	129	44	(	(	PUNCT
aiti-8364	129	45	)	)	PUNCT
aiti-8364	129	46	(	(	PUNCT
aiti-8364	129	47	)	)	PUNCT
aiti-8364	129	48	1	1	NUM
aiti-8364	129	49	2	2	NUM
aiti-8364	129	50	2	2	NUM
aiti-8364	129	51	1	1	NUM
aiti-8364	129	52	1	1	NUM
aiti-8364	129	53	n	n	NUM
aiti-8364	130	1	i	i	PRON
aiti-8364	131	1	i	i	PRON
aiti-8364	132	1	i	i	VERB
aiti-8364	133	1	n	n	VERB
aiti-8364	134	1	n	n	NOUN
aiti-8364	135	1	i	i	PRON
aiti-8364	135	2	i	i	PRON
aiti-8364	136	1	i	i	PRON
aiti-8364	136	2	i	i	VERB
aiti-8364	136	3	x	x	VERB
aiti-8364	137	1	x	x	VERB
aiti-8364	137	2	y	y	NOUN
aiti-8364	137	3	y	y	NOUN
aiti-8364	137	4	r	r	NOUN
aiti-8364	137	5	x	x	PUNCT
aiti-8364	137	6	x	x	VERB
aiti-8364	137	7	y	y	PROPN
aiti-8364	137	8	y	y	NOUN
aiti-8364	137	9	=	=	PUNCT
aiti-8364	137	10	=	=	PUNCT
aiti-8364	137	11	=	=	PUNCT
aiti-8364	137	12	−	−	NOUN
aiti-8364	137	13	−	−	PROPN
aiti-8364	137	14	=	=	SYM
aiti-8364	137	15	−	−	PROPN
aiti-8364	137	16	−	−	NOUN
aiti-8364	137	17			X
aiti-8364	137	18			X
aiti-8364	137	19			X
aiti-8364	137	20	(	(	PUNCT
aiti-8364	137	21	1	1	X
aiti-8364	137	22	)	)	PUNCT
aiti-8364	137	23	after	after	ADP
aiti-8364	137	24	performing	perform	VERB
aiti-8364	137	25	the	the	DET
aiti-8364	137	26	feature	feature	NOUN
aiti-8364	137	27	selection	selection	NOUN
aiti-8364	137	28	,	,	PUNCT
aiti-8364	137	29	eighteen	eighteen	NUM
aiti-8364	137	30	features	feature	NOUN
aiti-8364	137	31	were	be	AUX
aiti-8364	137	32	kept	keep	VERB
aiti-8364	137	33	,	,	PUNCT
aiti-8364	137	34	including	include	VERB
aiti-8364	137	35	location	location	NOUN
aiti-8364	137	36	,	,	PUNCT
aiti-8364	137	37	mintemp	mintemp	NOUN
aiti-8364	137	38	,	,	PUNCT
aiti-8364	137	39	maxtemp	maxtemp	ADJ
aiti-8364	137	40	,	,	PUNCT
aiti-8364	137	41	rainfall	rainfall	NOUN
aiti-8364	137	42	,	,	PUNCT
aiti-8364	137	43	windgustdir	windgustdir	NOUN
aiti-8364	137	44	,	,	PUNCT
aiti-8364	137	45	windgustspeed	windgustspeed	NOUN
aiti-8364	137	46	,	,	PUNCT
aiti-8364	137	47	winddir9am	winddir9am	NOUN
aiti-8364	137	48	,	,	PUNCT
aiti-8364	137	49	windspeed9am	windspeed9am	PROPN
aiti-8364	137	50	,	,	PUNCT
aiti-8364	137	51	windspeed3pm	windspeed3pm	PROPN
aiti-8364	137	52	,	,	PUNCT
aiti-8364	137	53	humidity9am	humidity9am	PROPN
aiti-8364	137	54	,	,	PUNCT
aiti-8364	137	55	humidity3pm	humidity3pm	PROPN
aiti-8364	137	56	,	,	PUNCT
aiti-8364	137	57	pressure9am	pressure9am	NOUN
aiti-8364	137	58	,	,	PUNCT
aiti-8364	137	59	pressure3pm	pressure3pm	ADJ
aiti-8364	137	60	,	,	PUNCT
aiti-8364	137	61	temp9am	temp9am	PROPN
aiti-8364	137	62	,	,	PUNCT
aiti-8364	137	63	temp3pm	temp3pm	PROPN
aiti-8364	137	64	,	,	PUNCT
aiti-8364	137	65	raintoday	raintoday	NOUN
aiti-8364	137	66	,	,	PUNCT
aiti-8364	137	67	and	and	CCONJ
aiti-8364	137	68	rain	rain	NOUN
aiti-8364	137	69	tomorrow	tomorrow	NOUN
aiti-8364	137	70	.	.	PUNCT
aiti-8364	138	1	the	the	DET
aiti-8364	138	2	numerical	numerical	PROPN
aiti-8364	138	3	data	datum	NOUN
aiti-8364	138	4	are	be	AUX
aiti-8364	138	5	mostly	mostly	ADV
aiti-8364	138	6	skewed	skewed	ADJ
aiti-8364	138	7	or	or	CCONJ
aiti-8364	138	8	nonstandard	nonstandard	ADJ
aiti-8364	138	9	deviation	deviation	NOUN
aiti-8364	138	10	in	in	ADP
aiti-8364	138	11	data	data	NOUN
aiti-8364	138	12	analysis	analysis	NOUN
aiti-8364	138	13	due	due	ADP
aiti-8364	138	14	to	to	ADP
aiti-8364	138	15	outliers	outlier	NOUN
aiti-8364	138	16	,	,	PUNCT
aiti-8364	138	17	multi	multi	NOUN
aiti-8364	138	18	distributions	distribution	NOUN
aiti-8364	138	19	,	,	PUNCT
aiti-8364	138	20	exceptionally	exceptionally	ADV
aiti-8364	138	21	exponential	exponential	ADJ
aiti-8364	138	22	distributions	distribution	NOUN
aiti-8364	138	23	,	,	PUNCT
aiti-8364	138	24	and	and	CCONJ
aiti-8364	138	25	more	more	ADJ
aiti-8364	138	26	.	.	PUNCT
aiti-8364	139	1	this	this	DET
aiti-8364	139	2	issue	issue	NOUN
aiti-8364	139	3	was	be	AUX
aiti-8364	139	4	solved	solve	VERB
aiti-8364	139	5	by	by	ADP
aiti-8364	139	6	changing	change	VERB
aiti-8364	139	7	the	the	DET
aiti-8364	139	8	numeric	numeric	ADJ
aiti-8364	139	9	value	value	NOUN
aiti-8364	139	10	into	into	ADP
aiti-8364	139	11	a	a	DET
aiti-8364	139	12	categorical	categorical	ADJ
aiti-8364	139	13	feature	feature	NOUN
aiti-8364	139	14	.	.	PUNCT
aiti-8364	140	1	to	to	PART
aiti-8364	140	2	implement	implement	VERB
aiti-8364	140	3	this	this	DET
aiti-8364	140	4	method	method	NOUN
aiti-8364	140	5	,	,	PUNCT
aiti-8364	140	6	a	a	DET
aiti-8364	140	7	discretization	discretization	NOUN
aiti-8364	140	8	process	process	NOUN
aiti-8364	140	9	that	that	PRON
aiti-8364	140	10	changes	change	VERB
aiti-8364	140	11	over	over	ADP
aiti-8364	140	12	the	the	DET
aiti-8364	140	13	numerical	numerical	ADJ
aiti-8364	140	14	value	value	NOUN
aiti-8364	140	15	into	into	ADP
aiti-8364	140	16	different	different	ADJ
aiti-8364	140	17	distribution	distribution	NOUN
aiti-8364	140	18	work	work	NOUN
aiti-8364	140	19	has	have	AUX
aiti-8364	140	20	been	be	AUX
aiti-8364	140	21	applied	apply	VERB
aiti-8364	140	22	as	as	SCONJ
aiti-8364	140	23	shown	show	VERB
aiti-8364	140	24	below	below	ADP
aiti-8364	140	25	:	:	PUNCT
aiti-8364	140	26	(	(	PUNCT
aiti-8364	140	27	)	)	PUNCT
aiti-8364	140	28	(	(	PUNCT
aiti-8364	140	29	)	)	PUNCT
aiti-8364	140	30	(	(	PUNCT
aiti-8364	140	31	)	)	PUNCT
aiti-8364	140	32	(	(	PUNCT
aiti-8364	140	33	)	)	PUNCT
aiti-8364	140	34	2	2	NUM
aiti-8364	140	35	1	1	NUM
aiti-8364	140	36	2	2	NUM
aiti-8364	140	37	1	1	NUM
aiti-8364	140	38	/	/	SYM
aiti-8364	140	39	1	1	NUM
aiti-8364	140	40	/	/	SYM
aiti-8364	140	41	n	n	NOUN
aiti-8364	140	42	k	k	NOUN
aiti-8364	140	43	g	g	PROPN
aiti-8364	141	1	i	i	PRON
aiti-8364	142	1	n	n	VERB
aiti-8364	143	1	k	k	NOUN
aiti-8364	143	2	g	g	PROPN
aiti-8364	144	1	i	i	PRON
aiti-8364	145	1	n	n	ADV
aiti-8364	145	2	x	x	NOUN
aiti-8364	146	1	x	x	PUNCT
aiti-8364	146	2	k	k	NOUN
aiti-8364	146	3	f	f	PUNCT
aiti-8364	146	4	x	x	X
aiti-8364	146	5	x	x	PROPN
aiti-8364	146	6	n	n	X
aiti-8364	146	7	k	k	NOUN
aiti-8364	146	8	=	=	PUNCT
aiti-8364	146	9	=	=	PUNCT
aiti-8364	147	1	−	−	NOUN
aiti-8364	147	2	−	−	PROPN
aiti-8364	147	3	=	=	SYM
aiti-8364	148	1	−	−	PROPN
aiti-8364	148	2	−	−	NOUN
aiti-8364	148	3			X
aiti-8364	148	4			X
aiti-8364	148	5	(	(	PUNCT
aiti-8364	148	6	2	2	X
aiti-8364	148	7	)	)	PUNCT
aiti-8364	148	8	feature	feature	NOUN
aiti-8364	148	9	scaling	scale	VERB
aiti-8364	148	10	is	be	AUX
aiti-8364	148	11	one	one	NUM
aiti-8364	148	12	of	of	ADP
aiti-8364	148	13	the	the	DET
aiti-8364	148	14	significant	significant	ADJ
aiti-8364	148	15	procedures	procedure	NOUN
aiti-8364	148	16	required	require	VERB
aiti-8364	148	17	to	to	PART
aiti-8364	148	18	standardize	standardize	VERB
aiti-8364	148	19	the	the	DET
aiti-8364	148	20	independent	independent	ADJ
aiti-8364	148	21	features	feature	NOUN
aiti-8364	148	22	of	of	ADP
aiti-8364	148	23	the	the	DET
aiti-8364	148	24	working	work	VERB
aiti-8364	148	25	dataset	dataset	NOUN
aiti-8364	148	26	.	.	PUNCT
aiti-8364	149	1	there	there	PRON
aiti-8364	149	2	are	be	VERB
aiti-8364	149	3	different	different	ADJ
aiti-8364	149	4	strategies	strategy	NOUN
aiti-8364	149	5	for	for	ADP
aiti-8364	149	6	feature	feature	NOUN
aiti-8364	149	7	scaling	scale	VERB
aiti-8364	149	8	such	such	ADJ
aiti-8364	149	9	as	as	ADP
aiti-8364	149	10	min	min	NOUN
aiti-8364	149	11	-	-	ADJ
aiti-8364	149	12	max	max	ADJ
aiti-8364	149	13	scaling	scaling	NOUN
aiti-8364	149	14	,	,	PUNCT
aiti-8364	149	15	variance	variance	NOUN
aiti-8364	149	16	scaling	scaling	NOUN
aiti-8364	149	17	,	,	PUNCT
aiti-8364	149	18	standardization	standardization	NOUN
aiti-8364	149	19	,	,	PUNCT
aiti-8364	149	20	mean	mean	ADJ
aiti-8364	149	21	normalization	normalization	NOUN
aiti-8364	149	22	,	,	PUNCT
aiti-8364	149	23	unit	unit	NOUN
aiti-8364	149	24	vectors	vector	NOUN
aiti-8364	149	25	,	,	PUNCT
aiti-8364	149	26	etc	etc	X
aiti-8364	149	27	.	.	X
aiti-8364	149	28	in	in	ADP
aiti-8364	149	29	this	this	DET
aiti-8364	149	30	work	work	NOUN
aiti-8364	149	31	,	,	PUNCT
aiti-8364	149	32	min	min	PROPN
aiti-8364	149	33	-	-	ADJ
aiti-8364	149	34	max	max	ADJ
aiti-8364	149	35	scaling	scaling	NOUN
aiti-8364	149	36	has	have	AUX
aiti-8364	149	37	been	be	AUX
aiti-8364	149	38	used	use	VERB
aiti-8364	149	39	as	as	ADP
aiti-8364	149	40	a	a	DET
aiti-8364	149	41	feature	feature	NOUN
aiti-8364	149	42	scaling	scale	VERB
aiti-8364	149	43	method	method	NOUN
aiti-8364	149	44	,	,	PUNCT
aiti-8364	149	45	and	and	CCONJ
aiti-8364	149	46	the	the	DET
aiti-8364	149	47	exchange	exchange	NOUN
aiti-8364	149	48	range	range	NOUN
aiti-8364	149	49	has	have	AUX
aiti-8364	149	50	been	be	AUX
aiti-8364	149	51	set	set	VERB
aiti-8364	149	52	between	between	ADP
aiti-8364	149	53	0	0	NUM
aiti-8364	149	54	and	and	CCONJ
aiti-8364	149	55	1	1	NUM
aiti-8364	149	56	.	.	NOUN
aiti-8364	149	57	mathematical	mathematical	ADJ
aiti-8364	149	58	formulla	formulla	NOUN
aiti-8364	149	59	of	of	ADP
aiti-8364	149	60	the	the	DET
aiti-8364	149	61	min	min	PROPN
aiti-8364	149	62	-	-	ADJ
aiti-8364	149	63	max	max	ADJ
aiti-8364	149	64	scaling	scaling	NOUN
aiti-8364	149	65	has	have	AUX
aiti-8364	149	66	been	be	AUX
aiti-8364	149	67	described	describe	VERB
aiti-8364	149	68	as	as	ADP
aiti-8364	149	69	:	:	PUNCT
aiti-8364	149	70	(	(	PUNCT
aiti-8364	149	71	)	)	PUNCT
aiti-8364	149	72	(	(	PUNCT
aiti-8364	149	73	)	)	PUNCT
aiti-8364	149	74	(	(	PUNCT
aiti-8364	149	75	)	)	PUNCT
aiti-8364	149	76	min	min	PROPN
aiti-8364	149	77	max	max	PROPN
aiti-8364	149	78	min	min	PROPN
aiti-8364	150	1	x	x	PUNCT
aiti-8364	150	2	x	x	PUNCT
aiti-8364	150	3	x	x	PUNCT
aiti-8364	150	4	x	x	PUNCT
aiti-8364	150	5	x	x	SYM
aiti-8364	150	6	−	−	NOUN
aiti-8364	151	1	′	′	NUM
aiti-8364	151	2	=	=	PUNCT
aiti-8364	151	3	−	−	PROPN
aiti-8364	151	4	(	(	PUNCT
aiti-8364	151	5	3	3	NUM
aiti-8364	151	6	)	)	PUNCT
aiti-8364	151	7	cv	cv	PROPN
aiti-8364	151	8	is	be	AUX
aiti-8364	151	9	a	a	DET
aiti-8364	151	10	resampling	resample	VERB
aiti-8364	151	11	method	method	NOUN
aiti-8364	151	12	to	to	PART
aiti-8364	151	13	train	train	VERB
aiti-8364	151	14	,	,	PUNCT
aiti-8364	151	15	test	test	NOUN
aiti-8364	151	16	,	,	PUNCT
aiti-8364	151	17	and	and	CCONJ
aiti-8364	151	18	validate	validate	VERB
aiti-8364	151	19	the	the	DET
aiti-8364	151	20	model	model	NOUN
aiti-8364	151	21	using	use	VERB
aiti-8364	151	22	different	different	ADJ
aiti-8364	151	23	data	datum	NOUN
aiti-8364	151	24	in	in	ADP
aiti-8364	151	25	each	each	DET
aiti-8364	151	26	iteration	iteration	NOUN
aiti-8364	151	27	.	.	PUNCT
aiti-8364	152	1	there	there	PRON
aiti-8364	152	2	are	be	VERB
aiti-8364	152	3	lots	lot	NOUN
aiti-8364	152	4	of	of	ADP
aiti-8364	152	5	cv	cv	ADJ
aiti-8364	152	6	methods	method	NOUN
aiti-8364	152	7	to	to	PART
aiti-8364	152	8	perform	perform	VERB
aiti-8364	152	9	this	this	DET
aiti-8364	152	10	operation	operation	NOUN
aiti-8364	152	11	.	.	PUNCT
aiti-8364	153	1	this	this	DET
aiti-8364	153	2	paper	paper	NOUN
aiti-8364	153	3	uses	use	VERB
aiti-8364	153	4	a	a	DET
aiti-8364	153	5	10	10	NUM
aiti-8364	153	6	-	-	ADJ
aiti-8364	153	7	fold	fold	ADJ
aiti-8364	153	8	cv	cv	NOUN
aiti-8364	153	9	technique	technique	NOUN
aiti-8364	153	10	where	where	SCONJ
aiti-8364	153	11	the	the	DET
aiti-8364	153	12	whole	whole	ADJ
aiti-8364	153	13	dataset	dataset	NOUN
aiti-8364	153	14	is	be	AUX
aiti-8364	153	15	separated	separate	VERB
aiti-8364	153	16	into	into	ADP
aiti-8364	153	17	ten	ten	NUM
aiti-8364	153	18	folds	fold	NOUN
aiti-8364	153	19	.	.	PUNCT
aiti-8364	154	1	each	each	DET
aiti-8364	154	2	section	section	NOUN
aiti-8364	154	3	is	be	AUX
aiti-8364	154	4	used	use	VERB
aiti-8364	154	5	either	either	ADV
aiti-8364	154	6	for	for	ADP
aiti-8364	154	7	training	training	NOUN
aiti-8364	154	8	,	,	PUNCT
aiti-8364	154	9	validation	validation	NOUN
aiti-8364	154	10	,	,	PUNCT
aiti-8364	154	11	or	or	CCONJ
aiti-8364	154	12	test	test	NOUN
aiti-8364	154	13	set	set	VERB
aiti-8364	154	14	.	.	PUNCT
aiti-8364	155	1	after	after	ADP
aiti-8364	155	2	data	data	NOUN
aiti-8364	155	3	preprocessing	preprocessing	NOUN
aiti-8364	155	4	,	,	PUNCT
aiti-8364	155	5	there	there	PRON
aiti-8364	155	6	were	be	VERB
aiti-8364	155	7	142193	142193	NUM
aiti-8364	155	8	rows	row	NOUN
aiti-8364	155	9	as	as	ADP
aiti-8364	155	10	samples	sample	NOUN
aiti-8364	155	11	and	and	CCONJ
aiti-8364	155	12	17	17	NUM
aiti-8364	155	13	columns	column	NOUN
aiti-8364	155	14	as	as	ADP
aiti-8364	155	15	features	feature	NOUN
aiti-8364	155	16	.	.	PUNCT
aiti-8364	156	1	3.3	3.3	NUM
aiti-8364	156	2	.	.	PUNCT
aiti-8364	157	1	algorithms	algorithm	NOUN
aiti-8364	157	2	a	a	DET
aiti-8364	157	3	few	few	ADJ
aiti-8364	157	4	of	of	ADP
aiti-8364	157	5	the	the	DET
aiti-8364	157	6	most	most	ADV
aiti-8364	157	7	suitable	suitable	ADJ
aiti-8364	157	8	machine	machine	NOUN
aiti-8364	157	9	learning	learning	NOUN
aiti-8364	157	10	and	and	CCONJ
aiti-8364	157	11	deep	deep	ADJ
aiti-8364	157	12	learning	learning	NOUN
aiti-8364	157	13	-	-	PUNCT
aiti-8364	157	14	based	base	VERB
aiti-8364	157	15	models	model	NOUN
aiti-8364	157	16	have	have	AUX
aiti-8364	157	17	been	be	AUX
aiti-8364	157	18	implemented	implement	VERB
aiti-8364	157	19	to	to	PART
aiti-8364	157	20	build	build	VERB
aiti-8364	157	21	the	the	DET
aiti-8364	157	22	best	good	ADJ
aiti-8364	157	23	model	model	NOUN
aiti-8364	157	24	.	.	PUNCT
aiti-8364	158	1	some	some	PRON
aiti-8364	158	2	of	of	ADP
aiti-8364	158	3	them	they	PRON
aiti-8364	158	4	are	be	AUX
aiti-8364	158	5	neighbor	neighbor	NOUN
aiti-8364	158	6	relationship	relationship	NOUN
aiti-8364	158	7	-	-	PUNCT
aiti-8364	158	8	based	base	VERB
aiti-8364	158	9	,	,	PUNCT
aiti-8364	158	10	some	some	PRON
aiti-8364	158	11	are	be	AUX
aiti-8364	158	12	naive	naive	ADJ
aiti-8364	158	13	bayes	bayes	NOUN
aiti-8364	158	14	(	(	PUNCT
aiti-8364	158	15	nb	nb	NOUN
aiti-8364	158	16	)	)	PUNCT
aiti-8364	158	17	theory	theory	NOUN
aiti-8364	158	18	-	-	PUNCT
aiti-8364	158	19	based	base	VERB
aiti-8364	158	20	,	,	PUNCT
aiti-8364	158	21	some	some	PRON
aiti-8364	158	22	are	be	AUX
aiti-8364	158	23	based	base	VERB
aiti-8364	158	24	on	on	ADP
aiti-8364	158	25	svm	svm	PROPN
aiti-8364	158	26	,	,	PUNCT
aiti-8364	158	27	and	and	CCONJ
aiti-8364	158	28	so	so	ADV
aiti-8364	158	29	on	on	ADV
aiti-8364	158	30	.	.	PUNCT
aiti-8364	158	31	table	table	NOUN
aiti-8364	158	32	2	2	NUM
aiti-8364	158	33	shows	show	VERB
aiti-8364	158	34	a	a	DET
aiti-8364	158	35	summary	summary	NOUN
aiti-8364	158	36	of	of	ADP
aiti-8364	158	37	all	all	DET
aiti-8364	158	38	the	the	DET
aiti-8364	158	39	algorithms	algorithm	NOUN
aiti-8364	158	40	that	that	PRON
aiti-8364	158	41	have	have	AUX
aiti-8364	158	42	been	be	AUX
aiti-8364	158	43	used	use	VERB
aiti-8364	158	44	in	in	ADP
aiti-8364	158	45	this	this	DET
aiti-8364	158	46	research	research	NOUN
aiti-8364	158	47	.	.	PUNCT
aiti-8364	159	1	for	for	ADP
aiti-8364	159	2	the	the	DET
aiti-8364	159	3	knn	knn	PROPN
aiti-8364	159	4	,	,	PUNCT
aiti-8364	159	5	five	five	NUM
aiti-8364	159	6	neighbors	neighbor	NOUN
aiti-8364	159	7	have	have	AUX
aiti-8364	159	8	been	be	AUX
aiti-8364	159	9	considered	consider	VERB
aiti-8364	159	10	to	to	PART
aiti-8364	159	11	find	find	VERB
aiti-8364	159	12	the	the	DET
aiti-8364	159	13	similarity	similarity	NOUN
aiti-8364	159	14	.	.	PUNCT
aiti-8364	160	1	for	for	ADP
aiti-8364	160	2	mlp	mlp	PROPN
aiti-8364	160	3	,	,	PUNCT
aiti-8364	160	4	the	the	DET
aiti-8364	160	5	learning	learning	NOUN
aiti-8364	160	6	rate	rate	NOUN
aiti-8364	160	7	is	be	AUX
aiti-8364	160	8	0.001	0.001	NUM
aiti-8364	160	9	with	with	ADP
aiti-8364	160	10	two	two	NUM
aiti-8364	160	11	hidden	hidden	ADJ
aiti-8364	160	12	layers	layer	NOUN
aiti-8364	160	13	of	of	ADP
aiti-8364	160	14	56	56	NUM
aiti-8364	160	15	units	unit	NOUN
aiti-8364	160	16	.	.	PUNCT
aiti-8364	161	1	for	for	ADP
aiti-8364	161	2	radius	radius	NOUN
aiti-8364	161	3	learning	learning	NOUN
aiti-8364	161	4	,	,	PUNCT
aiti-8364	161	5	the	the	DET
aiti-8364	161	6	radius	radius	NOUN
aiti-8364	161	7	value	value	NOUN
aiti-8364	161	8	was	be	AUX
aiti-8364	161	9	set	set	VERB
aiti-8364	161	10	to	to	ADP
aiti-8364	161	11	0.1	0.1	NUM
aiti-8364	161	12	.	.	PUNCT
aiti-8364	162	1	the	the	DET
aiti-8364	162	2	gini	gini	PROPN
aiti-8364	162	3	index	index	NOUN
aiti-8364	162	4	has	have	AUX
aiti-8364	162	5	been	be	AUX
aiti-8364	162	6	used	use	VERB
aiti-8364	162	7	to	to	PART
aiti-8364	162	8	split	split	VERB
aiti-8364	162	9	decisions	decision	NOUN
aiti-8364	162	10	between	between	ADP
aiti-8364	162	11	the	the	DET
aiti-8364	162	12	decision	decision	NOUN
aiti-8364	162	13	tree	tree	NOUN
aiti-8364	162	14	and	and	CCONJ
aiti-8364	162	15	the	the	DET
aiti-8364	162	16	random	random	ADJ
aiti-8364	162	17	forest	forest	NOUN
aiti-8364	162	18	tree	tree	NOUN
aiti-8364	162	19	.	.	PUNCT
aiti-8364	163	1	table	table	NOUN
aiti-8364	163	2	2	2	NUM
aiti-8364	163	3	the	the	DET
aiti-8364	163	4	summary	summary	NOUN
aiti-8364	163	5	of	of	ADP
aiti-8364	163	6	the	the	DET
aiti-8364	163	7	algorithm	algorithm	NOUN
aiti-8364	163	8	used	use	VERB
aiti-8364	163	9	methodology	methodology	NOUN
aiti-8364	163	10	algorithms	algorithms	NOUN
aiti-8364	163	11	methodology	methodology	NOUN
aiti-8364	163	12	algorithms	algorithm	NOUN
aiti-8364	163	13	neighbors	neighbor	NOUN
aiti-8364	163	14	classifier	classifier	VERB
aiti-8364	163	15	k	k	PROPN
aiti-8364	163	16	-	-	PUNCT
aiti-8364	163	17	nearest	near	ADJ
aiti-8364	163	18	neighbors	neighbor	NOUN
aiti-8364	163	19	discriminant	discriminant	VERB
aiti-8364	163	20	analysis	analysis	NOUN
aiti-8364	163	21	classifier	classifier	NOUN
aiti-8364	163	22	linear	linear	VERB
aiti-8364	163	23	discriminant	discriminant	ADJ
aiti-8364	163	24	analysis	analysis	NOUN
aiti-8364	163	25	radius	radius	NOUN
aiti-8364	163	26	neighbors	neighbor	NOUN
aiti-8364	163	27	classifier	classifier	VERB
aiti-8364	163	28	quadratic	quadratic	ADJ
aiti-8364	163	29	discriminant	discriminant	NOUN
aiti-8364	163	30	analysis	analysis	NOUN
aiti-8364	163	31	advances	advance	NOUN
aiti-8364	163	32	in	in	ADP
aiti-8364	163	33	technology	technology	NOUN
aiti-8364	163	34	innovation	innovation	NOUN
aiti-8364	163	35	,	,	PUNCT
aiti-8364	163	36	vol	vol	NOUN
aiti-8364	163	37	.	.	PROPN
aiti-8364	163	38	8	8	NUM
aiti-8364	163	39	,	,	PUNCT
aiti-8364	163	40	no	no	INTJ
aiti-8364	163	41	.	.	NOUN
aiti-8364	163	42	2	2	NUM
aiti-8364	163	43	,	,	PUNCT
aiti-8364	163	44	2023	2023	NUM
aiti-8364	163	45	,	,	PUNCT
aiti-8364	163	46	pp	pp	ADJ
aiti-8364	163	47	.	.	PUNCT
aiti-8364	164	1	111	111	NUM
aiti-8364	164	2	-	-	SYM
aiti-8364	164	3	120	120	NUM
aiti-8364	164	4	116	116	NUM
aiti-8364	164	5	table	table	NOUN
aiti-8364	164	6	2	2	NUM
aiti-8364	164	7	the	the	DET
aiti-8364	164	8	summary	summary	NOUN
aiti-8364	164	9	of	of	ADP
aiti-8364	164	10	the	the	DET
aiti-8364	164	11	algorithm	algorithm	NOUN
aiti-8364	164	12	used	use	VERB
aiti-8364	164	13	(	(	PUNCT
aiti-8364	164	14	continued	continued	ADJ
aiti-8364	164	15	)	)	PUNCT
aiti-8364	164	16	methodology	methodology	NOUN
aiti-8364	164	17	algorithms	algorithms	NOUN
aiti-8364	164	18	methodology	methodology	NOUN
aiti-8364	164	19	algorithms	algorithm	NOUN
aiti-8364	164	20	neighbors	neighbor	NOUN
aiti-8364	164	21	classifier	classifier	VERB
aiti-8364	164	22	nearest	near	ADJ
aiti-8364	164	23	centroid	centroid	PROPN
aiti-8364	164	24	support	support	NOUN
aiti-8364	164	25	vector	vector	NOUN
aiti-8364	164	26	machine	machine	NOUN
aiti-8364	164	27	classifiers	classifier	NOUN
aiti-8364	164	28	linear	linear	VERB
aiti-8364	164	29	svc	svc	PROPN
aiti-8364	164	30	ensemble	ensemble	ADJ
aiti-8364	164	31	classifiers	classifier	NOUN
aiti-8364	164	32	adaboost	adaboost	ADV
aiti-8364	164	33	classifier	classifier	PROPN
aiti-8364	164	34	linear	linear	PROPN
aiti-8364	164	35	svc	svc	PROPN
aiti-8364	164	36	bagging	bag	VERB
aiti-8364	164	37	classifier	classifier	PROPN
aiti-8364	164	38	nu	nu	PROPN
aiti-8364	165	1	svc	svc	PROPN
aiti-8364	165	2	gradient	gradient	NOUN
aiti-8364	165	3	boosting	boost	VERB
aiti-8364	165	4	classifier	classifier	NOUN
aiti-8364	165	5	linear	linear	ADJ
aiti-8364	165	6	model	model	NOUN
aiti-8364	165	7	stochastic	stochastic	ADJ
aiti-8364	165	8	gradient	gradient	ADJ
aiti-8364	165	9	descent	descent	NOUN
aiti-8364	165	10	classifier	classifier	NOUN
aiti-8364	165	11	hist	hist	PROPN
aiti-8364	165	12	gradient	gradient	PROPN
aiti-8364	165	13	boosting	boost	VERB
aiti-8364	165	14	classifier	classifier	NOUN
aiti-8364	165	15	ridge	ridge	PROPN
aiti-8364	165	16	classifier	classifier	PROPN
aiti-8364	165	17	random	random	PROPN
aiti-8364	165	18	forest	forest	NOUN
aiti-8364	165	19	classifier	classifier	PROPN
aiti-8364	165	20	ridge	ridge	PROPN
aiti-8364	165	21	classifier	classifier	PROPN
aiti-8364	165	22	cv	cv	PROPN
aiti-8364	165	23	naive	naive	ADJ
aiti-8364	165	24	bayes	bayes	PROPN
aiti-8364	165	25	classifiers	classifier	VERB
aiti-8364	165	26	bernoulli	bernoulli	PROPN
aiti-8364	165	27	nb	nb	INTJ
aiti-8364	165	28	passive	passive	ADJ
aiti-8364	165	29	aggressive	aggressive	ADJ
aiti-8364	165	30	classifier	classifier	NOUN
aiti-8364	165	31	multinomial	multinomial	PROPN
aiti-8364	165	32	nb	nb	PROPN
aiti-8364	165	33	logistic	logistic	PROPN
aiti-8364	165	34	regression	regression	PROPN
aiti-8364	165	35	cv	cv	PROPN
aiti-8364	165	36	categorical	categorical	PROPN
aiti-8364	165	37	nb	nb	PROPN
aiti-8364	165	38	logistic	logistic	ADJ
aiti-8364	165	39	regression	regression	NOUN
aiti-8364	165	40	complement	complement	NOUN
aiti-8364	166	1	nb	nb	PROPN
aiti-8364	166	2	perceptron	perceptron	PROPN
aiti-8364	166	3	gaussian	gaussian	PROPN
aiti-8364	166	4	nb	nb	PROPN
aiti-8364	166	5	impact	impact	NOUN
aiti-8364	166	6	learning	learn	VERB
aiti-8364	166	7	[	[	X
aiti-8364	166	8	16	16	NUM
aiti-8364	166	9	]	]	PUNCT
aiti-8364	166	10	semi	semi	ADJ
aiti-8364	166	11	-	-	ADJ
aiti-8364	166	12	supervised	supervised	ADJ
aiti-8364	166	13	classifiers	classifier	NOUN
aiti-8364	166	14	label	label	NOUN
aiti-8364	166	15	propagation	propagation	NOUN
aiti-8364	166	16	gaussian	gaussian	ADJ
aiti-8364	166	17	process	process	NOUN
aiti-8364	166	18	classifiers	classifier	NOUN
aiti-8364	166	19	radial	radial	ADJ
aiti-8364	166	20	basis	basis	NOUN
aiti-8364	166	21	function	function	NOUN
aiti-8364	166	22	label	label	NOUN
aiti-8364	166	23	spreading	spread	VERB
aiti-8364	166	24	neural	neural	ADJ
aiti-8364	166	25	network	network	NOUN
aiti-8364	166	26	mlp	mlp	PROPN
aiti-8364	166	27	classifier	classifier	PROPN
aiti-8364	166	28	4	4	PROPN
aiti-8364	166	29	.	.	PUNCT
aiti-8364	166	30	methodology	methodology	NOUN
aiti-8364	166	31	to	to	PART
aiti-8364	166	32	complete	complete	VERB
aiti-8364	166	33	the	the	DET
aiti-8364	166	34	whole	whole	ADJ
aiti-8364	166	35	workflow	workflow	NOUN
aiti-8364	166	36	,	,	PUNCT
aiti-8364	166	37	a	a	DET
aiti-8364	166	38	total	total	NOUN
aiti-8364	166	39	of	of	ADP
aiti-8364	166	40	four	four	NUM
aiti-8364	166	41	steps	step	NOUN
aiti-8364	166	42	have	have	AUX
aiti-8364	166	43	been	be	AUX
aiti-8364	166	44	executed	execute	VERB
aiti-8364	166	45	:	:	PUNCT
aiti-8364	166	46	data	datum	NOUN
aiti-8364	166	47	collection	collection	NOUN
aiti-8364	166	48	and	and	CCONJ
aiti-8364	166	49	preprocessing	preprocessing	NOUN
aiti-8364	166	50	,	,	PUNCT
aiti-8364	166	51	training	training	NOUN
aiti-8364	166	52	model	model	NOUN
aiti-8364	166	53	using	use	VERB
aiti-8364	166	54	supervised	supervised	ADJ
aiti-8364	166	55	learning	learning	NOUN
aiti-8364	166	56	methods	method	NOUN
aiti-8364	166	57	,	,	PUNCT
aiti-8364	166	58	testing	testing	NOUN
aiti-8364	166	59	,	,	PUNCT
aiti-8364	166	60	and	and	CCONJ
aiti-8364	166	61	performance	performance	NOUN
aiti-8364	166	62	analysis	analysis	NOUN
aiti-8364	166	63	.	.	PUNCT
aiti-8364	167	1	a	a	DET
aiti-8364	167	2	popular	popular	ADJ
aiti-8364	167	3	and	and	CCONJ
aiti-8364	167	4	acceptable	acceptable	ADJ
aiti-8364	167	5	dataset	dataset	NOUN
aiti-8364	167	6	from	from	ADP
aiti-8364	167	7	the	the	DET
aiti-8364	167	8	kaggle	kaggle	ADJ
aiti-8364	167	9	platform	platform	NOUN
aiti-8364	167	10	[	[	X
aiti-8364	167	11	11	11	NUM
aiti-8364	167	12	]	]	PUNCT
aiti-8364	167	13	has	have	AUX
aiti-8364	167	14	been	be	AUX
aiti-8364	167	15	adopted	adopt	VERB
aiti-8364	167	16	for	for	ADP
aiti-8364	167	17	this	this	DET
aiti-8364	167	18	project	project	NOUN
aiti-8364	167	19	.	.	PUNCT
aiti-8364	168	1	this	this	DET
aiti-8364	168	2	dataset	dataset	NOUN
aiti-8364	168	3	was	be	AUX
aiti-8364	168	4	split	split	VERB
aiti-8364	168	5	into	into	ADP
aiti-8364	168	6	three	three	NUM
aiti-8364	168	7	parts	part	NOUN
aiti-8364	168	8	:	:	PUNCT
aiti-8364	168	9	the	the	DET
aiti-8364	168	10	training	training	NOUN
aiti-8364	168	11	part	part	NOUN
aiti-8364	168	12	,	,	PUNCT
aiti-8364	168	13	the	the	DET
aiti-8364	168	14	validation	validation	NOUN
aiti-8364	168	15	part	part	NOUN
aiti-8364	168	16	,	,	PUNCT
aiti-8364	168	17	and	and	CCONJ
aiti-8364	168	18	the	the	DET
aiti-8364	168	19	testing	testing	NOUN
aiti-8364	168	20	part	part	NOUN
aiti-8364	168	21	.	.	PUNCT
aiti-8364	169	1	after	after	ADP
aiti-8364	169	2	gathering	gather	VERB
aiti-8364	169	3	all	all	DET
aiti-8364	169	4	raw	raw	ADJ
aiti-8364	169	5	data	datum	NOUN
aiti-8364	169	6	,	,	PUNCT
aiti-8364	169	7	the	the	DET
aiti-8364	169	8	dataset	dataset	NOUN
aiti-8364	169	9	goes	go	VERB
aiti-8364	169	10	through	through	ADP
aiti-8364	169	11	data	datum	NOUN
aiti-8364	169	12	preprocessing	preprocessing	NOUN
aiti-8364	169	13	steps	step	NOUN
aiti-8364	169	14	,	,	PUNCT
aiti-8364	169	15	which	which	PRON
aiti-8364	169	16	have	have	AUX
aiti-8364	169	17	been	be	AUX
aiti-8364	169	18	used	use	VERB
aiti-8364	169	19	to	to	PART
aiti-8364	169	20	make	make	VERB
aiti-8364	169	21	the	the	DET
aiti-8364	169	22	dataset	dataset	NOUN
aiti-8364	169	23	outliers	outlier	NOUN
aiti-8364	169	24	-	-	PUNCT
aiti-8364	169	25	free	free	ADJ
aiti-8364	169	26	and	and	CCONJ
aiti-8364	169	27	more	more	ADV
aiti-8364	169	28	solid	solid	ADJ
aiti-8364	169	29	.	.	PUNCT
aiti-8364	170	1	these	these	DET
aiti-8364	170	2	data	datum	NOUN
aiti-8364	170	3	preprocessing	preprocesse	VERB
aiti-8364	170	4	steps	step	NOUN
aiti-8364	170	5	also	also	ADV
aiti-8364	170	6	help	help	VERB
aiti-8364	170	7	in	in	ADP
aiti-8364	170	8	increasing	increase	VERB
aiti-8364	170	9	the	the	DET
aiti-8364	170	10	performance	performance	NOUN
aiti-8364	170	11	of	of	ADP
aiti-8364	170	12	the	the	DET
aiti-8364	170	13	models	model	NOUN
aiti-8364	170	14	[	[	X
aiti-8364	170	15	17	17	NUM
aiti-8364	170	16	]	]	PUNCT
aiti-8364	170	17	.	.	PUNCT
aiti-8364	171	1	as	as	ADP
aiti-8364	171	2	a	a	DET
aiti-8364	171	3	result	result	NOUN
aiti-8364	171	4	,	,	PUNCT
aiti-8364	171	5	diverse	diverse	ADJ
aiti-8364	171	6	preprocessing	preprocessing	NOUN
aiti-8364	171	7	methods	method	NOUN
aiti-8364	171	8	such	such	ADJ
aiti-8364	171	9	as	as	ADP
aiti-8364	171	10	cleaning	clean	VERB
aiti-8364	171	11	data	datum	NOUN
aiti-8364	171	12	,	,	PUNCT
aiti-8364	171	13	missing	miss	VERB
aiti-8364	171	14	value	value	NOUN
aiti-8364	171	15	checks	check	NOUN
aiti-8364	171	16	,	,	PUNCT
aiti-8364	171	17	handling	handle	VERB
aiti-8364	171	18	the	the	DET
aiti-8364	171	19	categorical	categorical	ADJ
aiti-8364	171	20	data	datum	NOUN
aiti-8364	171	21	,	,	PUNCT
aiti-8364	171	22	feature	feature	NOUN
aiti-8364	171	23	selection	selection	NOUN
aiti-8364	171	24	,	,	PUNCT
aiti-8364	171	25	and	and	CCONJ
aiti-8364	171	26	feature	feature	NOUN
aiti-8364	171	27	scaling	scaling	NOUN
aiti-8364	171	28	have	have	AUX
aiti-8364	171	29	been	be	AUX
aiti-8364	171	30	applied	apply	VERB
aiti-8364	171	31	.	.	PUNCT
aiti-8364	172	1	the	the	DET
aiti-8364	172	2	machine	machine	NOUN
aiti-8364	172	3	learning	learning	NOUN
aiti-8364	172	4	models	model	NOUN
aiti-8364	172	5	are	be	AUX
aiti-8364	172	6	made	make	VERB
aiti-8364	172	7	by	by	ADP
aiti-8364	172	8	training	training	NOUN
aiti-8364	172	9	with	with	ADP
aiti-8364	172	10	the	the	DET
aiti-8364	172	11	data	datum	NOUN
aiti-8364	172	12	preprocessed	preprocesse	VERB
aiti-8364	172	13	earlier	early	ADV
aiti-8364	172	14	.	.	PUNCT
aiti-8364	173	1	the	the	DET
aiti-8364	173	2	training	training	NOUN
aiti-8364	173	3	and	and	CCONJ
aiti-8364	173	4	testing	testing	NOUN
aiti-8364	173	5	methods	method	NOUN
aiti-8364	173	6	of	of	ADP
aiti-8364	173	7	all	all	DET
aiti-8364	173	8	those	those	DET
aiti-8364	173	9	models	model	NOUN
aiti-8364	173	10	are	be	AUX
aiti-8364	173	11	different	different	ADJ
aiti-8364	173	12	.	.	PUNCT
aiti-8364	174	1	from	from	ADP
aiti-8364	174	2	all	all	DET
aiti-8364	174	3	the	the	DET
aiti-8364	174	4	training	training	NOUN
aiti-8364	174	5	methods	method	NOUN
aiti-8364	174	6	,	,	PUNCT
aiti-8364	174	7	29	29	NUM
aiti-8364	174	8	classifiers	classifier	NOUN
aiti-8364	174	9	have	have	AUX
aiti-8364	174	10	been	be	AUX
aiti-8364	174	11	used	use	VERB
aiti-8364	174	12	so	so	SCONJ
aiti-8364	174	13	that	that	SCONJ
aiti-8364	174	14	the	the	DET
aiti-8364	174	15	performance	performance	NOUN
aiti-8364	174	16	can	can	AUX
aiti-8364	174	17	be	be	AUX
aiti-8364	174	18	compared	compare	VERB
aiti-8364	174	19	and	and	CCONJ
aiti-8364	174	20	the	the	DET
aiti-8364	174	21	best	good	ADJ
aiti-8364	174	22	suitable	suitable	ADJ
aiti-8364	174	23	model	model	NOUN
aiti-8364	174	24	can	can	AUX
aiti-8364	174	25	be	be	AUX
aiti-8364	174	26	selected	select	VERB
aiti-8364	174	27	.	.	PUNCT
aiti-8364	175	1	most	most	ADJ
aiti-8364	175	2	of	of	ADP
aiti-8364	175	3	the	the	DET
aiti-8364	175	4	models	model	NOUN
aiti-8364	175	5	listed	list	VERB
aiti-8364	175	6	in	in	ADP
aiti-8364	175	7	the	the	DET
aiti-8364	175	8	table	table	NOUN
aiti-8364	175	9	showed	show	VERB
aiti-8364	175	10	good	good	ADJ
aiti-8364	175	11	performance	performance	NOUN
aiti-8364	175	12	,	,	PUNCT
aiti-8364	175	13	but	but	CCONJ
aiti-8364	175	14	some	some	PRON
aiti-8364	175	15	did	do	AUX
aiti-8364	175	16	n’t	not	PART
aiti-8364	175	17	fit	fit	VERB
aiti-8364	175	18	very	very	ADV
aiti-8364	175	19	well	well	ADV
aiti-8364	175	20	.	.	PUNCT
aiti-8364	176	1	the	the	DET
aiti-8364	176	2	complete	complete	ADJ
aiti-8364	176	3	methodology	methodology	NOUN
aiti-8364	176	4	of	of	ADP
aiti-8364	176	5	this	this	DET
aiti-8364	176	6	proposed	propose	VERB
aiti-8364	176	7	model	model	NOUN
aiti-8364	176	8	is	be	AUX
aiti-8364	176	9	shown	show	VERB
aiti-8364	176	10	in	in	ADP
aiti-8364	176	11	fig	fig	NOUN
aiti-8364	176	12	.	.	PUNCT
aiti-8364	177	1	2	2	X
aiti-8364	177	2	.	.	X
aiti-8364	177	3	fig	fig	NOUN
aiti-8364	177	4	.	.	PUNCT
aiti-8364	178	1	2	2	NUM
aiti-8364	179	1	the	the	DET
aiti-8364	179	2	overview	overview	NOUN
aiti-8364	179	3	of	of	ADP
aiti-8364	179	4	the	the	DET
aiti-8364	179	5	methodology	methodology	NOUN
aiti-8364	179	6	of	of	ADP
aiti-8364	179	7	the	the	DET
aiti-8364	179	8	proposed	propose	VERB
aiti-8364	179	9	work	work	NOUN
aiti-8364	179	10	5	5	NUM
aiti-8364	179	11	.	.	PUNCT
aiti-8364	179	12	experiments	experiment	NOUN
aiti-8364	179	13	and	and	CCONJ
aiti-8364	179	14	results	result	VERB
aiti-8364	179	15	the	the	DET
aiti-8364	179	16	model	model	NOUN
aiti-8364	179	17	was	be	AUX
aiti-8364	179	18	built	build	VERB
aiti-8364	179	19	and	and	CCONJ
aiti-8364	179	20	then	then	ADV
aiti-8364	179	21	trained	train	VERB
aiti-8364	179	22	with	with	ADP
aiti-8364	179	23	the	the	DET
aiti-8364	179	24	preprocessed	preprocesse	VERB
aiti-8364	179	25	dataset	dataset	NOUN
aiti-8364	179	26	.	.	PUNCT
aiti-8364	180	1	in	in	ADP
aiti-8364	180	2	this	this	DET
aiti-8364	180	3	section	section	NOUN
aiti-8364	180	4	,	,	PUNCT
aiti-8364	180	5	the	the	DET
aiti-8364	180	6	performances	performance	NOUN
aiti-8364	180	7	of	of	ADP
aiti-8364	180	8	all	all	DET
aiti-8364	180	9	the	the	DET
aiti-8364	180	10	algorithms	algorithm	NOUN
aiti-8364	180	11	have	have	AUX
aiti-8364	180	12	been	be	AUX
aiti-8364	180	13	compared	compare	VERB
aiti-8364	180	14	.	.	PUNCT
aiti-8364	181	1	besides	besides	ADV
aiti-8364	181	2	,	,	PUNCT
aiti-8364	181	3	various	various	ADJ
aiti-8364	181	4	experimental	experimental	ADJ
aiti-8364	181	5	parameter	parameter	NOUN
aiti-8364	181	6	has	have	AUX
aiti-8364	181	7	been	be	AUX
aiti-8364	181	8	tuned	tune	VERB
aiti-8364	181	9	for	for	ADP
aiti-8364	181	10	performance	performance	NOUN
aiti-8364	181	11	analysis	analysis	NOUN
aiti-8364	181	12	and	and	CCONJ
aiti-8364	181	13	evaluation	evaluation	NOUN
aiti-8364	181	14	.	.	PUNCT
aiti-8364	182	1	in	in	ADP
aiti-8364	182	2	addition	addition	NOUN
aiti-8364	182	3	,	,	PUNCT
aiti-8364	182	4	the	the	DET
aiti-8364	182	5	experimental	experimental	ADJ
aiti-8364	182	6	setup	setup	NOUN
aiti-8364	182	7	to	to	PART
aiti-8364	182	8	accomplish	accomplish	VERB
aiti-8364	182	9	the	the	DET
aiti-8364	182	10	entire	entire	ADJ
aiti-8364	182	11	task	task	NOUN
aiti-8364	182	12	has	have	AUX
aiti-8364	182	13	also	also	ADV
aiti-8364	182	14	been	be	AUX
aiti-8364	182	15	described	describe	VERB
aiti-8364	182	16	.	.	PUNCT
aiti-8364	183	1	for	for	ADP
aiti-8364	183	2	this	this	DET
aiti-8364	183	3	model	model	NOUN
aiti-8364	183	4	,	,	PUNCT
aiti-8364	183	5	11	11	NUM
aiti-8364	183	6	statistical	statistical	ADJ
aiti-8364	183	7	performance	performance	NOUN
aiti-8364	183	8	metrics	metric	NOUN
aiti-8364	183	9	have	have	AUX
aiti-8364	183	10	been	be	AUX
aiti-8364	183	11	considered	consider	VERB
aiti-8364	183	12	for	for	ADP
aiti-8364	183	13	performance	performance	NOUN
aiti-8364	183	14	analysis	analysis	NOUN
aiti-8364	183	15	and	and	CCONJ
aiti-8364	183	16	comparison	comparison	NOUN
aiti-8364	183	17	.	.	PUNCT
aiti-8364	184	1	advances	advance	NOUN
aiti-8364	184	2	in	in	ADP
aiti-8364	184	3	technology	technology	NOUN
aiti-8364	184	4	innovation	innovation	NOUN
aiti-8364	184	5	,	,	PUNCT
aiti-8364	184	6	vol	vol	NOUN
aiti-8364	184	7	.	.	PROPN
aiti-8364	184	8	8	8	NUM
aiti-8364	184	9	,	,	PUNCT
aiti-8364	184	10	no	no	INTJ
aiti-8364	184	11	.	.	NOUN
aiti-8364	184	12	2	2	NUM
aiti-8364	184	13	,	,	PUNCT
aiti-8364	184	14	2023	2023	NUM
aiti-8364	184	15	,	,	PUNCT
aiti-8364	184	16	pp	pp	ADJ
aiti-8364	184	17	.	.	PUNCT
aiti-8364	185	1	111	111	NUM
aiti-8364	185	2	-	-	SYM
aiti-8364	185	3	120	120	NUM
aiti-8364	185	4	117	117	NUM
aiti-8364	185	5	the	the	DET
aiti-8364	185	6	whole	whole	ADJ
aiti-8364	185	7	work	work	NOUN
aiti-8364	185	8	has	have	AUX
aiti-8364	185	9	been	be	AUX
aiti-8364	185	10	completed	complete	VERB
aiti-8364	185	11	in	in	ADP
aiti-8364	185	12	google	google	PROPN
aiti-8364	185	13	colab	colab	PROPN
aiti-8364	185	14	,	,	PUNCT
aiti-8364	185	15	and	and	CCONJ
aiti-8364	185	16	python	python	NOUN
aiti-8364	185	17	has	have	AUX
aiti-8364	185	18	been	be	AUX
aiti-8364	185	19	provided	provide	VERB
aiti-8364	185	20	as	as	ADP
aiti-8364	185	21	a	a	DET
aiti-8364	185	22	simulation	simulation	NOUN
aiti-8364	185	23	environment	environment	NOUN
aiti-8364	185	24	by	by	ADP
aiti-8364	185	25	google	google	PROPN
aiti-8364	185	26	.	.	PUNCT
aiti-8364	186	1	a	a	DET
aiti-8364	186	2	machine	machine	NOUN
aiti-8364	186	3	learning	learn	VERB
aiti-8364	186	4	framework	framework	NOUN
aiti-8364	186	5	named	name	VERB
aiti-8364	186	6	sci	sci	PROPN
aiti-8364	186	7	-	-	PUNCT
aiti-8364	186	8	kit	kit	NOUN
aiti-8364	186	9	learns	learn	NOUN
aiti-8364	186	10	and	and	CCONJ
aiti-8364	186	11	deep	deep	ADJ
aiti-8364	186	12	learning	learning	NOUN
aiti-8364	186	13	framework	framework	NOUN
aiti-8364	186	14	keras	keras	PROPN
aiti-8364	186	15	have	have	AUX
aiti-8364	186	16	also	also	ADV
aiti-8364	186	17	been	be	AUX
aiti-8364	186	18	used	use	VERB
aiti-8364	186	19	to	to	PART
aiti-8364	186	20	implement	implement	VERB
aiti-8364	186	21	the	the	DET
aiti-8364	186	22	classification	classification	NOUN
aiti-8364	186	23	algorithm	algorithm	NOUN
aiti-8364	186	24	.	.	PUNCT
aiti-8364	187	1	in	in	ADP
aiti-8364	187	2	addition	addition	NOUN
aiti-8364	187	3	,	,	PUNCT
aiti-8364	187	4	the	the	DET
aiti-8364	187	5	matplotlib	matplotlib	PROPN
aiti-8364	187	6	library	library	NOUN
aiti-8364	187	7	for	for	ADP
aiti-8364	187	8	data	data	NOUN
aiti-8364	187	9	visualization	visualization	NOUN
aiti-8364	187	10	,	,	PUNCT
aiti-8364	187	11	graphical	graphical	ADJ
aiti-8364	187	12	representation	representation	NOUN
aiti-8364	187	13	,	,	PUNCT
aiti-8364	187	14	and	and	CCONJ
aiti-8364	187	15	data	datum	NOUN
aiti-8364	187	16	analysis	analysis	NOUN
aiti-8364	187	17	has	have	AUX
aiti-8364	187	18	been	be	AUX
aiti-8364	187	19	used	use	VERB
aiti-8364	187	20	in	in	ADP
aiti-8364	187	21	this	this	DET
aiti-8364	187	22	project	project	NOUN
aiti-8364	187	23	.	.	PUNCT
aiti-8364	188	1	table	table	NOUN
aiti-8364	188	2	3	3	NUM
aiti-8364	188	3	the	the	DET
aiti-8364	188	4	summary	summary	NOUN
aiti-8364	188	5	of	of	ADP
aiti-8364	188	6	the	the	DET
aiti-8364	188	7	algorithms	algorithm	NOUN
aiti-8364	188	8	that	that	PRON
aiti-8364	188	9	have	have	AUX
aiti-8364	188	10	been	be	AUX
aiti-8364	188	11	used	use	VERB
aiti-8364	188	12	in	in	ADP
aiti-8364	188	13	this	this	DET
aiti-8364	188	14	research	research	NOUN
aiti-8364	188	15	model	model	NOUN
aiti-8364	188	16	accuracy	accuracy	NOUN
aiti-8364	188	17	f1	f1	PROPN
aiti-8364	188	18	score	score	NOUN
aiti-8364	188	19	rs	rs	NOUN
aiti-8364	188	20	ps	ps	PROPN
aiti-8364	188	21	fbs	fbs	PROPN
aiti-8364	188	22	hl	hl	PROPN
aiti-8364	189	1	js	js	PROPN
aiti-8364	189	2	mc	mc	PROPN
aiti-8364	189	3	auc	auc	PROPN
aiti-8364	189	4	bac	bac	PROPN
aiti-8364	189	5	cks	cks	PROPN
aiti-8364	189	6	neighbors	neighbor	NOUN
aiti-8364	189	7	classifier	classifier	NOUN
aiti-8364	189	8	knc	knc	VERB
aiti-8364	189	9	0.868	0.868	NUM
aiti-8364	189	10	0.752	0.752	NUM
aiti-8364	189	11	0.672	0.672	NUM
aiti-8364	189	12	0.749	0.749	NUM
aiti-8364	189	13	0.809	0.809	NUM
aiti-8364	189	14	0.202	0.202	NUM
aiti-8364	189	15	0.604	0.604	NUM
aiti-8364	189	16	0.468	0.468	NUM
aiti-8364	189	17	0.749	0.749	NUM
aiti-8364	189	18	0.689	0.689	NUM
aiti-8364	189	19	0.411	0.411	NUM
aiti-8364	189	20	nc	nc	PROPN
aiti-8364	189	21	0.813	0.813	NUM
aiti-8364	189	22	0.719	0.719	NUM
aiti-8364	189	23	0.663	0.663	NUM
aiti-8364	189	24	0.661	0.661	NUM
aiti-8364	189	25	0.749	0.749	NUM
aiti-8364	189	26	0.257	0.257	NUM
aiti-8364	189	27	0.561	0.561	NUM
aiti-8364	189	28	0.378	0.378	NUM
aiti-8364	189	29	0.74	0.74	NUM
aiti-8364	189	30	0.68	0.68	NUM
aiti-8364	189	31	0.338	0.338	NUM
aiti-8364	189	32	rnc	rnc	NOUN
aiti-8364	189	33	0.803	0.803	NUM
aiti-8364	189	34	0.708	0.708	NUM
aiti-8364	189	35	0.654	0.654	NUM
aiti-8364	189	36	0.648	0.648	NUM
aiti-8364	189	37	0.736	0.736	NUM
aiti-8364	189	38	0.267	0.267	NUM
aiti-8364	189	39	0.55	0.55	NUM
aiti-8364	189	40	0.356	0.356	NUM
aiti-8364	189	41	0.731	0.731	NUM
aiti-8364	189	42	0.671	0.671	NUM
aiti-8364	189	43	0.316	0.316	NUM
aiti-8364	189	44	ensemble	ensemble	ADJ
aiti-8364	189	45	classifiers	classifier	NOUN
aiti-8364	189	46	adc	adc	VERB
aiti-8364	189	47	0.893	0.893	NUM
aiti-8364	189	48	0.802	0.802	NUM
aiti-8364	189	49	0.72	0.72	NUM
aiti-8364	189	50	0.791	0.791	NUM
aiti-8364	189	51	0.856	0.856	NUM
aiti-8364	189	52	0.177	0.177	NUM
aiti-8364	189	53	0.656	0.656	NUM
aiti-8364	189	54	0.559	0.559	NUM
aiti-8364	189	55	0.797	0.797	NUM
aiti-8364	189	56	0.737	0.737	NUM
aiti-8364	189	57	0.507	0.507	NUM
aiti-8364	189	58	bc	bc	VERB
aiti-8364	189	59	0.894	0.894	NUM
aiti-8364	189	60	0.802	0.802	NUM
aiti-8364	189	61	0.72	0.72	NUM
aiti-8364	189	62	0.793	0.793	NUM
aiti-8364	189	63	0.857	0.857	NUM
aiti-8364	189	64	0.176	0.176	NUM
aiti-8364	189	65	0.657	0.657	NUM
aiti-8364	189	66	0.561	0.561	NUM
aiti-8364	189	67	0.797	0.797	NUM
aiti-8364	189	68	0.737	0.737	NUM
aiti-8364	189	69	0.508	0.508	NUM
aiti-8364	189	70	gbc	gbc	NOUN
aiti-8364	189	71	0.904	0.904	NUM
aiti-8364	189	72	0.818	0.818	NUM
aiti-8364	189	73	0.734	0.734	NUM
aiti-8364	189	74	0.812	0.812	NUM
aiti-8364	189	75	0.875	0.875	NUM
aiti-8364	189	76	0.166	0.166	NUM
aiti-8364	189	77	0.675	0.675	NUM
aiti-8364	189	78	0.594	0.594	NUM
aiti-8364	189	79	0.811	0.811	NUM
aiti-8364	189	80	0.751	0.751	NUM
aiti-8364	189	81	0.54	0.54	NUM
aiti-8364	189	82	hgbc	hgbc	NOUN
aiti-8364	189	83	0.91	0.91	NUM
aiti-8364	189	84	0.833	0.833	NUM
aiti-8364	189	85	0.751	0.751	NUM
aiti-8364	189	86	0.817	0.817	NUM
aiti-8364	189	87	0.885	0.885	NUM
aiti-8364	189	88	0.16	0.16	NUM
aiti-8364	189	89	0.692	0.692	NUM
aiti-8364	189	90	0.619	0.619	NUM
aiti-8364	189	91	0.828	0.828	NUM
aiti-8364	189	92	0.768	0.768	NUM
aiti-8364	189	93	0.569	0.569	NUM
aiti-8364	189	94	rfc	rfc	PRON
aiti-8364	189	95	0.907	0.907	NUM
aiti-8364	189	96	0.823	0.823	NUM
aiti-8364	189	97	0.737	0.737	NUM
aiti-8364	189	98	0.819	0.819	NUM
aiti-8364	189	99	0.881	0.881	NUM
aiti-8364	189	100	0.163	0.163	NUM
aiti-8364	189	101	0.68	0.68	NUM
aiti-8364	189	102	0.604	0.604	NUM
aiti-8364	189	103	0.814	0.814	NUM
aiti-8364	189	104	0.754	0.754	NUM
aiti-8364	189	105	0.549	0.549	NUM
aiti-8364	189	106	naive	naive	ADJ
aiti-8364	189	107	bayes	bayes	NOUN
aiti-8364	189	108	classifiers	classifier	NOUN
aiti-8364	189	109	mnb	mnb	VERB
aiti-8364	189	110	0.811	0.811	NUM
aiti-8364	189	111	0.718	0.718	NUM
aiti-8364	189	112	0.662	0.662	NUM
aiti-8364	189	113	0.659	0.659	NUM
aiti-8364	189	114	0.747	0.747	NUM
aiti-8364	189	115	0.259	0.259	NUM
aiti-8364	189	116	0.56	0.56	NUM
aiti-8364	189	117	0.376	0.376	NUM
aiti-8364	189	118	0.739	0.739	NUM
aiti-8364	189	119	0.679	0.679	NUM
aiti-8364	189	120	0.335	0.335	NUM
aiti-8364	189	121	conb	conb	ADJ
aiti-8364	189	122	0.733	0.733	NUM
aiti-8364	190	1	0.686	0.686	NUM
aiti-8364	190	2	0.679	0.679	NUM
aiti-8364	190	3	0.63	0.63	NUM
aiti-8364	190	4	0.712	0.712	NUM
aiti-8364	190	5	0.337	0.337	NUM
aiti-8364	190	6	0.512	0.512	NUM
aiti-8364	190	7	0.36	0.36	NUM
aiti-8364	190	8	0.756	0.756	NUM
aiti-8364	190	9	0.696	0.696	NUM
aiti-8364	190	10	0.297	0.297	NUM
aiti-8364	190	11	cnb	cnb	PROPN
aiti-8364	190	12	0.731	0.731	NUM
aiti-8364	190	13	0.686	0.686	NUM
aiti-8364	190	14	0.683	0.683	NUM
aiti-8364	190	15	0.632	0.632	NUM
aiti-8364	190	16	0.713	0.713	NUM
aiti-8364	190	17	0.339	0.339	NUM
aiti-8364	190	18	0.512	0.512	NUM
aiti-8364	190	19	0.365	0.365	NUM
aiti-8364	190	20	0.76	0.76	NUM
aiti-8364	190	21	0.7	0.7	NUM
aiti-8364	190	22	0.299	0.299	NUM
aiti-8364	190	23	gnb	gnb	PROPN
aiti-8364	190	24	0.695	0.695	NUM
aiti-8364	190	25	0.66	0.66	NUM
aiti-8364	190	26	0.669	0.669	NUM
aiti-8364	190	27	0.618	0.618	NUM
aiti-8364	190	28	0.692	0.692	NUM
aiti-8364	190	29	0.375	0.375	NUM
aiti-8364	190	30	0.482	0.482	NUM
aiti-8364	190	31	0.336	0.336	NUM
aiti-8364	190	32	0.746	0.746	NUM
aiti-8364	190	33	0.686	0.686	NUM
aiti-8364	190	34	0.263	0.263	NUM
aiti-8364	190	35	cc	cc	VERB
aiti-8364	190	36	0.899	0.899	NUM
aiti-8364	190	37	0.813	0.813	NUM
aiti-8364	190	38	0.731	0.731	NUM
aiti-8364	190	39	0.799	0.799	NUM
aiti-8364	190	40	0.866	0.866	NUM
aiti-8364	190	41	0.171	0.171	NUM
aiti-8364	190	42	0.668	0.668	NUM
aiti-8364	190	43	0.58	0.58	NUM
aiti-8364	190	44	0.808	0.808	NUM
aiti-8364	190	45	0.748	0.748	NUM
aiti-8364	190	46	0.529	0.529	NUM
aiti-8364	190	47	semi	semi	ADJ
aiti-8364	190	48	-	-	ADJ
aiti-8364	190	49	supervised	supervised	ADJ
aiti-8364	190	50	classifiers	classifier	NOUN
aiti-8364	190	51	lp	lp	ADP
aiti-8364	190	52	0.884	0.884	NUM
aiti-8364	190	53	0.787	0.787	NUM
aiti-8364	190	54	0.712	0.712	NUM
aiti-8364	190	55	0.758	0.758	NUM
aiti-8364	190	56	0.832	0.832	NUM
aiti-8364	190	57	0.186	0.186	NUM
aiti-8364	190	58	0.64	0.64	NUM
aiti-8364	190	59	0.521	0.521	NUM
aiti-8364	190	60	0.789	0.789	NUM
aiti-8364	190	61	0.729	0.729	NUM
aiti-8364	190	62	0.476	0.476	NUM
aiti-8364	190	63	ls	ls	ADP
aiti-8364	190	64	0.902	0.902	NUM
aiti-8364	190	65	0.816	0.816	NUM
aiti-8364	190	66	0.733	0.733	NUM
aiti-8364	190	67	0.808	0.808	NUM
aiti-8364	190	68	0.872	0.872	NUM
aiti-8364	190	69	0.168	0.168	NUM
aiti-8364	190	70	0.673	0.673	NUM
aiti-8364	190	71	0.589	0.589	NUM
aiti-8364	190	72	0.81	0.81	NUM
aiti-8364	190	73	0.75	0.75	NUM
aiti-8364	190	74	0.536	0.536	NUM
aiti-8364	190	75	discriminant	discriminant	ADJ
aiti-8364	190	76	analysis	analysis	NOUN
aiti-8364	190	77	classifier	classifier	NOUN
aiti-8364	190	78	lda	lda	VERB
aiti-8364	190	79	0.901	0.901	NUM
aiti-8364	190	80	0.817	0.817	NUM
aiti-8364	190	81	0.736	0.736	NUM
aiti-8364	190	82	0.802	0.802	NUM
aiti-8364	190	83	0.869	0.869	NUM
aiti-8364	190	84	0.169	0.169	NUM
aiti-8364	190	85	0.673	0.673	NUM
aiti-8364	190	86	0.588	0.588	NUM
aiti-8364	190	87	0.813	0.813	NUM
aiti-8364	190	88	0.753	0.753	NUM
aiti-8364	190	89	0.537	0.537	NUM
aiti-8364	190	90	qda	qda	NOUN
aiti-8364	190	91	0.708	0.708	NUM
aiti-8364	190	92	0.656	0.656	NUM
aiti-8364	190	93	0.641	0.641	NUM
aiti-8364	190	94	0.603	0.603	NUM
aiti-8364	190	95	0.684	0.684	NUM
aiti-8364	190	96	0.362	0.362	NUM
aiti-8364	190	97	0.483	0.483	NUM
aiti-8364	190	98	0.294	0.294	NUM
aiti-8364	190	99	0.718	0.718	NUM
aiti-8364	190	100	0.658	0.658	NUM
aiti-8364	190	101	0.237	0.237	NUM
aiti-8364	190	102	svm	svm	ADJ
aiti-8364	190	103	classifiers	classifier	NOUN
aiti-8364	190	104	lsvc	lsvc	VERB
aiti-8364	190	105	0.902	0.902	NUM
aiti-8364	190	106	0.812	0.812	NUM
aiti-8364	190	107	0.727	0.727	NUM
aiti-8364	190	108	0.811	0.811	NUM
aiti-8364	190	109	0.872	0.872	NUM
aiti-8364	190	110	0.168	0.168	NUM
aiti-8364	190	111	0.669	0.669	NUM
aiti-8364	190	112	0.586	0.586	NUM
aiti-8364	190	113	0.804	0.804	NUM
aiti-8364	190	114	0.744	0.744	NUM
aiti-8364	190	115	0.529	0.529	NUM
aiti-8364	190	116	nusvc	nusvc	ADV
aiti-8364	190	117	0.899	0.899	NUM
aiti-8364	190	118	0.809	0.809	NUM
aiti-8364	190	119	0.726	0.726	NUM
aiti-8364	190	120	0.802	0.802	NUM
aiti-8364	190	121	0.865	0.865	NUM
aiti-8364	190	122	0.171	0.171	NUM
aiti-8364	190	123	0.665	0.665	NUM
aiti-8364	190	124	0.576	0.576	NUM
aiti-8364	190	125	0.803	0.803	NUM
aiti-8364	190	126	0.743	0.743	NUM
aiti-8364	190	127	0.522	0.522	NUM
aiti-8364	190	128	sgdc	sgdc	NOUN
aiti-8364	190	129	0.894	0.894	NUM
aiti-8364	190	130	0.795	0.795	NUM
aiti-8364	190	131	0.709	0.709	NUM
aiti-8364	190	132	0.8	0.8	NUM
aiti-8364	190	133	0.857	0.857	NUM
aiti-8364	190	134	0.176	0.176	NUM
aiti-8364	190	135	0.65	0.65	NUM
aiti-8364	190	136	0.555	0.555	NUM
aiti-8364	190	137	0.786	0.786	NUM
aiti-8364	190	138	0.726	0.726	NUM
aiti-8364	190	139	0.496	0.496	NUM
aiti-8364	190	140	rdc	rdc	NOUN
aiti-8364	190	141	0.9	0.9	NUM
aiti-8364	190	142	0.802	0.802	NUM
aiti-8364	190	143	0.714	0.714	NUM
aiti-8364	190	144	0.813	0.813	NUM
aiti-8364	190	145	0.867	0.867	NUM
aiti-8364	190	146	0.17	0.17	NUM
aiti-8364	190	147	0.658	0.658	NUM
aiti-8364	190	148	0.572	0.572	NUM
aiti-8364	190	149	0.791	0.791	NUM
aiti-8364	190	150	0.731	0.731	NUM
aiti-8364	190	151	0.511	0.511	NUM
aiti-8364	190	152	rdcv	rdcv	NOUN
aiti-8364	190	153	0.9	0.9	NUM
aiti-8364	190	154	0.802	0.802	NUM
aiti-8364	190	155	0.714	0.714	NUM
aiti-8364	190	156	0.813	0.813	NUM
aiti-8364	190	157	0.867	0.867	NUM
aiti-8364	190	158	0.17	0.17	NUM
aiti-8364	190	159	0.659	0.659	NUM
aiti-8364	190	160	0.572	0.572	NUM
aiti-8364	190	161	0.791	0.791	NUM
aiti-8364	190	162	0.731	0.731	NUM
aiti-8364	190	163	0.511	0.511	NUM
aiti-8364	191	1	pac	pac	NOUN
aiti-8364	191	2	0.85	0.85	NUM
aiti-8364	191	3	0.623	0.623	NUM
aiti-8364	191	4	0.568	0.568	NUM
aiti-8364	191	5	0.767	0.767	NUM
aiti-8364	191	6	0.709	0.709	NUM
aiti-8364	191	7	0.22	0.22	NUM
aiti-8364	191	8	0.506	0.506	NUM
aiti-8364	191	9	0.322	0.322	NUM
aiti-8364	191	10	0.645	0.645	NUM
aiti-8364	191	11	0.585	0.585	NUM
aiti-8364	191	12	0.202	0.202	NUM
aiti-8364	191	13	lrcv	lrcv	ADJ
aiti-8364	191	14	0.9	0.9	NUM
aiti-8364	192	1	0.815	0.815	NUM
aiti-8364	192	2	0.733	0.733	NUM
aiti-8364	192	3	0.801	0.801	NUM
aiti-8364	192	4	0.868	0.868	NUM
aiti-8364	192	5	0.17	0.17	NUM
aiti-8364	192	6	0.671	0.671	NUM
aiti-8364	192	7	0.584	0.584	NUM
aiti-8364	192	8	0.81	0.81	NUM
aiti-8364	192	9	0.75	0.75	NUM
aiti-8364	192	10	0.533	0.533	NUM
aiti-8364	192	11	lr	lr	NOUN
aiti-8364	192	12	0.901	0.901	NUM
aiti-8364	192	13	0.815	0.815	NUM
aiti-8364	192	14	0.733	0.733	NUM
aiti-8364	192	15	0.802	0.802	NUM
aiti-8364	192	16	0.869	0.869	NUM
aiti-8364	192	17	0.169	0.169	NUM
aiti-8364	192	18	0.672	0.672	NUM
aiti-8364	192	19	0.585	0.585	NUM
aiti-8364	192	20	0.81	0.81	NUM
aiti-8364	192	21	0.75	0.75	NUM
aiti-8364	192	22	0.534	0.534	NUM
aiti-8364	192	23	pr	pr	NOUN
aiti-8364	192	24	0.804	0.804	NUM
aiti-8364	192	25	0.716	0.716	NUM
aiti-8364	192	26	0.666	0.666	NUM
aiti-8364	192	27	0.653	0.653	NUM
aiti-8364	192	28	0.742	0.742	NUM
aiti-8364	192	29	0.266	0.266	NUM
aiti-8364	192	30	0.556	0.556	NUM
aiti-8364	192	31	0.373	0.373	NUM
aiti-8364	192	32	0.743	0.743	NUM
aiti-8364	192	33	0.683	0.683	NUM
aiti-8364	192	34	0.332	0.332	NUM
aiti-8364	192	35	il	il	PROPN
aiti-8364	192	36	0.902	0.902	NUM
aiti-8364	192	37	0.813	0.813	NUM
aiti-8364	192	38	0.727	0.727	NUM
aiti-8364	192	39	0.811	0.811	NUM
aiti-8364	192	40	0.872	0.872	NUM
aiti-8364	192	41	0.168	0.168	NUM
aiti-8364	192	42	0.669	0.669	NUM
aiti-8364	192	43	0.586	0.586	NUM
aiti-8364	192	44	0.804	0.804	NUM
aiti-8364	192	45	0.744	0.744	NUM
aiti-8364	192	46	0.53	0.53	NUM
aiti-8364	192	47	gaussian	gaussian	ADJ
aiti-8364	192	48	process	process	NOUN
aiti-8364	192	49	classifiers	classifier	NOUN
aiti-8364	192	50	gpc	gpc	PROPN
aiti-8364	192	51	0.903	0.903	NUM
aiti-8364	192	52	0.818	0.818	NUM
aiti-8364	192	53	0.736	0.736	NUM
aiti-8364	192	54	0.807	0.807	NUM
aiti-8364	192	55	0.873	0.873	NUM
aiti-8364	192	56	0.167	0.167	NUM
aiti-8364	192	57	0.675	0.675	NUM
aiti-8364	192	58	0.592	0.592	NUM
aiti-8364	192	59	0.813	0.813	NUM
aiti-8364	192	60	0.753	0.753	NUM
aiti-8364	192	61	0.54	0.54	NUM
aiti-8364	192	62	neural	neural	ADJ
aiti-8364	192	63	network	network	NOUN
aiti-8364	192	64	classifier	classifier	NOUN
aiti-8364	192	65	mlpc	mlpc	VERB
aiti-8364	192	66	0.906	0.906	NUM
aiti-8364	192	67	0.833	0.833	NUM
aiti-8364	192	68	0.757	0.757	NUM
aiti-8364	192	69	0.805	0.805	NUM
aiti-8364	192	70	0.879	0.879	NUM
aiti-8364	192	71	0.164	0.164	NUM
aiti-8364	192	72	0.691	0.691	NUM
aiti-8364	192	73	0.613	0.613	NUM
aiti-8364	192	74	0.834	0.834	NUM
aiti-8364	192	75	0.774	0.774	NUM
aiti-8364	192	76	0.568	0.568	NUM
aiti-8364	192	77	advances	advance	NOUN
aiti-8364	192	78	in	in	ADP
aiti-8364	192	79	technology	technology	NOUN
aiti-8364	192	80	innovation	innovation	NOUN
aiti-8364	192	81	,	,	PUNCT
aiti-8364	192	82	vol	vol	NOUN
aiti-8364	192	83	.	.	PROPN
aiti-8364	192	84	8	8	NUM
aiti-8364	192	85	,	,	PUNCT
aiti-8364	192	86	no	no	INTJ
aiti-8364	192	87	.	.	NOUN
aiti-8364	192	88	2	2	NUM
aiti-8364	192	89	,	,	PUNCT
aiti-8364	192	90	2023	2023	NUM
aiti-8364	192	91	,	,	PUNCT
aiti-8364	192	92	pp	pp	ADJ
aiti-8364	192	93	.	.	PUNCT
aiti-8364	193	1	111	111	NUM
aiti-8364	193	2	-	-	SYM
aiti-8364	193	3	120	120	NUM
aiti-8364	193	4	118	118	NUM
aiti-8364	193	5	here	here	ADV
aiti-8364	193	6	,	,	PUNCT
aiti-8364	193	7	the	the	DET
aiti-8364	193	8	twenty	twenty	NUM
aiti-8364	193	9	-	-	PUNCT
aiti-8364	193	10	nine	nine	NUM
aiti-8364	193	11	most	most	ADV
aiti-8364	193	12	suitable	suitable	ADJ
aiti-8364	193	13	machine	machine	NOUN
aiti-8364	193	14	learning	learning	NOUN
aiti-8364	193	15	models	model	NOUN
aiti-8364	193	16	have	have	AUX
aiti-8364	193	17	been	be	AUX
aiti-8364	193	18	used	use	VERB
aiti-8364	193	19	to	to	PART
aiti-8364	193	20	predict	predict	VERB
aiti-8364	193	21	the	the	DET
aiti-8364	193	22	rainfall	rainfall	NOUN
aiti-8364	193	23	possibility	possibility	NOUN
aiti-8364	193	24	.	.	PUNCT
aiti-8364	194	1	a	a	DET
aiti-8364	194	2	total	total	NOUN
aiti-8364	194	3	of	of	ADP
aiti-8364	194	4	11	11	NUM
aiti-8364	194	5	statistical	statistical	ADJ
aiti-8364	194	6	measurements	measurement	NOUN
aiti-8364	194	7	have	have	AUX
aiti-8364	194	8	been	be	AUX
aiti-8364	194	9	considered	consider	VERB
aiti-8364	194	10	and	and	CCONJ
aiti-8364	194	11	listed	list	VERB
aiti-8364	194	12	in	in	ADP
aiti-8364	194	13	table	table	NOUN
aiti-8364	194	14	3	3	NUM
aiti-8364	194	15	.	.	PUNCT
aiti-8364	195	1	the	the	DET
aiti-8364	195	2	table	table	NOUN
aiti-8364	195	3	shows	show	VERB
aiti-8364	195	4	that	that	SCONJ
aiti-8364	195	5	the	the	DET
aiti-8364	195	6	hgbc	hgbc	NOUN
aiti-8364	195	7	has	have	AUX
aiti-8364	195	8	predicted	predict	VERB
aiti-8364	195	9	the	the	DET
aiti-8364	195	10	best	good	ADJ
aiti-8364	195	11	accuracy	accuracy	NOUN
aiti-8364	195	12	of	of	ADP
aiti-8364	195	13	0.91	0.91	NUM
aiti-8364	195	14	,	,	PUNCT
aiti-8364	195	15	and	and	CCONJ
aiti-8364	195	16	the	the	DET
aiti-8364	195	17	f1	f1	PROPN
aiti-8364	195	18	score	score	NOUN
aiti-8364	195	19	is	be	AUX
aiti-8364	195	20	0.833	0.833	NUM
aiti-8364	195	21	.	.	PUNCT
aiti-8364	196	1	the	the	DET
aiti-8364	196	2	random	random	ADJ
aiti-8364	196	3	forest	forest	NOUN
aiti-8364	196	4	tree	tree	NOUN
aiti-8364	196	5	classifier	classifier	NOUN
aiti-8364	196	6	has	have	AUX
aiti-8364	196	7	obtained	obtain	VERB
aiti-8364	196	8	the	the	DET
aiti-8364	196	9	best	good	ADJ
aiti-8364	196	10	accuracy	accuracy	NOUN
aiti-8364	196	11	of	of	ADP
aiti-8364	196	12	0.907	0.907	NUM
aiti-8364	196	13	with	with	ADP
aiti-8364	196	14	an	an	DET
aiti-8364	196	15	f1	f1	ADJ
aiti-8364	196	16	score	score	NOUN
aiti-8364	196	17	is	be	AUX
aiti-8364	196	18	0.823	0.823	NUM
aiti-8364	196	19	from	from	ADP
aiti-8364	196	20	the	the	DET
aiti-8364	196	21	branch	branch	NOUN
aiti-8364	196	22	of	of	ADP
aiti-8364	196	23	ensemble	ensemble	ADJ
aiti-8364	196	24	classifiers	classifier	NOUN
aiti-8364	196	25	.	.	PUNCT
aiti-8364	197	1	the	the	DET
aiti-8364	197	2	mlpc	mlpc	PROPN
aiti-8364	197	3	has	have	AUX
aiti-8364	197	4	acquired	acquire	VERB
aiti-8364	197	5	good	good	ADJ
aiti-8364	197	6	accuracy	accuracy	NOUN
aiti-8364	197	7	,	,	PUNCT
aiti-8364	197	8	which	which	PRON
aiti-8364	197	9	is	be	AUX
aiti-8364	197	10	0.906	0.906	NUM
aiti-8364	197	11	,	,	PUNCT
aiti-8364	197	12	along	along	ADP
aiti-8364	197	13	with	with	ADP
aiti-8364	197	14	an	an	DET
aiti-8364	197	15	f1	f1	ADJ
aiti-8364	197	16	score	score	NOUN
aiti-8364	197	17	of	of	ADP
aiti-8364	197	18	0.833	0.833	NUM
aiti-8364	197	19	from	from	ADP
aiti-8364	197	20	the	the	DET
aiti-8364	197	21	section	section	NOUN
aiti-8364	197	22	of	of	ADP
aiti-8364	197	23	the	the	DET
aiti-8364	197	24	nn	nn	PROPN
aiti-8364	197	25	classifier	classifier	NOUN
aiti-8364	197	26	.	.	PUNCT
aiti-8364	198	1	moreover	moreover	ADV
aiti-8364	198	2	,	,	PUNCT
aiti-8364	198	3	from	from	ADP
aiti-8364	198	4	the	the	DET
aiti-8364	198	5	section	section	NOUN
aiti-8364	198	6	on	on	ADP
aiti-8364	198	7	the	the	DET
aiti-8364	198	8	neighbor	neighbor	NOUN
aiti-8364	198	9	’s	’s	PART
aiti-8364	198	10	classifier	classifier	NOUN
aiti-8364	198	11	,	,	PUNCT
aiti-8364	198	12	it	it	PRON
aiti-8364	198	13	can	can	AUX
aiti-8364	198	14	be	be	AUX
aiti-8364	198	15	noticed	notice	VERB
aiti-8364	198	16	that	that	SCONJ
aiti-8364	198	17	the	the	DET
aiti-8364	198	18	knc	knc	NOUN
aiti-8364	198	19	has	have	AUX
aiti-8364	198	20	shown	show	VERB
aiti-8364	198	21	the	the	DET
aiti-8364	198	22	best	good	ADJ
aiti-8364	198	23	accuracy	accuracy	NOUN
aiti-8364	198	24	of	of	ADP
aiti-8364	198	25	0.868	0.868	NUM
aiti-8364	198	26	,	,	PUNCT
aiti-8364	198	27	and	and	CCONJ
aiti-8364	198	28	the	the	DET
aiti-8364	198	29	f1	f1	PROPN
aiti-8364	198	30	score	score	NOUN
aiti-8364	198	31	is	be	AUX
aiti-8364	198	32	0.752	0.752	NUM
aiti-8364	198	33	.	.	PUNCT
aiti-8364	199	1	also	also	ADV
aiti-8364	199	2	,	,	PUNCT
aiti-8364	199	3	from	from	ADP
aiti-8364	199	4	the	the	DET
aiti-8364	199	5	section	section	NOUN
aiti-8364	199	6	on	on	ADP
aiti-8364	199	7	nb	nb	PROPN
aiti-8364	199	8	algorithms	algorithms	PROPN
aiti-8364	199	9	,	,	PUNCT
aiti-8364	199	10	cc	cc	PROPN
aiti-8364	199	11	has	have	AUX
aiti-8364	199	12	shown	show	VERB
aiti-8364	199	13	the	the	DET
aiti-8364	199	14	best	good	ADJ
aiti-8364	199	15	accuracy	accuracy	NOUN
aiti-8364	199	16	of	of	ADP
aiti-8364	199	17	0.899	0.899	NUM
aiti-8364	199	18	and	and	CCONJ
aiti-8364	199	19	its	its	PRON
aiti-8364	199	20	f1	f1	NOUN
aiti-8364	199	21	score	score	NOUN
aiti-8364	199	22	is	be	AUX
aiti-8364	199	23	0.813	0.813	NUM
aiti-8364	199	24	among	among	ADP
aiti-8364	199	25	all	all	DET
aiti-8364	199	26	nb	nb	PROPN
aiti-8364	199	27	classifiers	classifier	NOUN
aiti-8364	199	28	.	.	PUNCT
aiti-8364	200	1	after	after	ADP
aiti-8364	200	2	that	that	PRON
aiti-8364	200	3	,	,	PUNCT
aiti-8364	200	4	ls	ls	PROPN
aiti-8364	200	5	also	also	ADV
aiti-8364	200	6	has	have	AUX
aiti-8364	200	7	placed	place	VERB
aiti-8364	200	8	the	the	DET
aiti-8364	200	9	best	good	ADJ
aiti-8364	200	10	accuracy	accuracy	NOUN
aiti-8364	200	11	of	of	ADP
aiti-8364	200	12	0.902	0.902	NUM
aiti-8364	200	13	,	,	PUNCT
aiti-8364	200	14	and	and	CCONJ
aiti-8364	200	15	its	its	PRON
aiti-8364	200	16	f1	f1	NOUN
aiti-8364	200	17	score	score	NOUN
aiti-8364	200	18	is	be	AUX
aiti-8364	200	19	0.816	0.816	NUM
aiti-8364	200	20	from	from	ADP
aiti-8364	200	21	the	the	DET
aiti-8364	200	22	branch	branch	NOUN
aiti-8364	200	23	of	of	ADP
aiti-8364	200	24	semi	semi	ADJ
aiti-8364	200	25	-	-	ADJ
aiti-8364	200	26	supervised	supervised	ADJ
aiti-8364	200	27	classifiers	classifier	NOUN
aiti-8364	200	28	.	.	PUNCT
aiti-8364	201	1	besides	besides	SCONJ
aiti-8364	201	2	,	,	PUNCT
aiti-8364	201	3	it	it	PRON
aiti-8364	201	4	can	can	AUX
aiti-8364	201	5	also	also	ADV
aiti-8364	201	6	be	be	AUX
aiti-8364	201	7	seen	see	VERB
aiti-8364	201	8	from	from	ADP
aiti-8364	201	9	the	the	DET
aiti-8364	201	10	discriminant	discriminant	ADJ
aiti-8364	201	11	analysis	analysis	NOUN
aiti-8364	201	12	section	section	NOUN
aiti-8364	201	13	that	that	SCONJ
aiti-8364	201	14	the	the	DET
aiti-8364	201	15	linear	linear	ADJ
aiti-8364	201	16	discriminant	discriminant	NOUN
aiti-8364	201	17	analysis	analysis	NOUN
aiti-8364	201	18	has	have	AUX
aiti-8364	201	19	proved	prove	VERB
aiti-8364	201	20	the	the	DET
aiti-8364	201	21	best	good	ADJ
aiti-8364	201	22	position	position	NOUN
aiti-8364	201	23	of	of	ADP
aiti-8364	201	24	accuracy	accuracy	NOUN
aiti-8364	201	25	,	,	PUNCT
aiti-8364	201	26	0.901	0.901	NUM
aiti-8364	201	27	,	,	PUNCT
aiti-8364	201	28	with	with	ADP
aiti-8364	201	29	an	an	DET
aiti-8364	201	30	f1	f1	ADJ
aiti-8364	201	31	score	score	NOUN
aiti-8364	201	32	of	of	ADP
aiti-8364	201	33	0.817	0.817	NUM
aiti-8364	201	34	.	.	PUNCT
aiti-8364	202	1	fig	fig	NOUN
aiti-8364	202	2	.	.	PUNCT
aiti-8364	203	1	3	3	NUM
aiti-8364	203	2	comparison	comparison	NOUN
aiti-8364	203	3	of	of	ADP
aiti-8364	203	4	accuracy	accuracy	NOUN
aiti-8364	203	5	among	among	ADP
aiti-8364	203	6	the	the	DET
aiti-8364	203	7	models	model	NOUN
aiti-8364	203	8	next	next	ADV
aiti-8364	203	9	,	,	PUNCT
aiti-8364	203	10	lsvc	lsvc	PROPN
aiti-8364	203	11	also	also	ADV
aiti-8364	203	12	has	have	VERB
aiti-8364	203	13	the	the	DET
aiti-8364	203	14	best	good	ADJ
aiti-8364	203	15	accuracy	accuracy	NOUN
aiti-8364	203	16	of	of	ADP
aiti-8364	203	17	0.902	0.902	NUM
aiti-8364	203	18	,	,	PUNCT
aiti-8364	203	19	and	and	CCONJ
aiti-8364	203	20	its	its	PRON
aiti-8364	203	21	f1	f1	NOUN
aiti-8364	203	22	score	score	NOUN
aiti-8364	203	23	is	be	AUX
aiti-8364	203	24	0.812	0.812	NUM
aiti-8364	203	25	from	from	ADP
aiti-8364	203	26	the	the	DET
aiti-8364	203	27	branch	branch	NOUN
aiti-8364	203	28	of	of	ADP
aiti-8364	203	29	svm	svm	ADJ
aiti-8364	203	30	classifiers	classifier	NOUN
aiti-8364	203	31	.	.	PUNCT
aiti-8364	204	1	finally	finally	ADV
aiti-8364	204	2	,	,	PUNCT
aiti-8364	204	3	gpc	gpc	PROPN
aiti-8364	204	4	has	have	AUX
aiti-8364	204	5	figured	figure	VERB
aiti-8364	204	6	out	out	ADP
aiti-8364	204	7	the	the	DET
aiti-8364	204	8	best	good	ADJ
aiti-8364	204	9	accuracy	accuracy	NOUN
aiti-8364	204	10	result	result	NOUN
aiti-8364	204	11	is	be	AUX
aiti-8364	204	12	0.903	0.903	NUM
aiti-8364	204	13	with	with	ADP
aiti-8364	204	14	an	an	DET
aiti-8364	204	15	f1	f1	ADJ
aiti-8364	204	16	score	score	NOUN
aiti-8364	204	17	of	of	ADP
aiti-8364	204	18	0.818	0.818	NUM
aiti-8364	204	19	from	from	ADP
aiti-8364	204	20	the	the	DET
aiti-8364	204	21	section	section	NOUN
aiti-8364	204	22	of	of	ADP
aiti-8364	204	23	gaussian	gaussian	ADJ
aiti-8364	204	24	process	process	NOUN
aiti-8364	204	25	classifiers	classifier	NOUN
aiti-8364	204	26	.	.	PUNCT
aiti-8364	205	1	all	all	DET
aiti-8364	205	2	-	-	PUNCT
aiti-8364	205	3	inclusive	inclusive	NOUN
aiti-8364	205	4	,	,	PUNCT
aiti-8364	205	5	by	by	ADP
aiti-8364	205	6	analyzing	analyze	VERB
aiti-8364	205	7	all	all	DET
aiti-8364	205	8	the	the	DET
aiti-8364	205	9	sections	section	NOUN
aiti-8364	205	10	of	of	ADP
aiti-8364	205	11	algorithms	algorithm	NOUN
aiti-8364	205	12	for	for	ADP
aiti-8364	205	13	the	the	DET
aiti-8364	205	14	rain	rain	NOUN
aiti-8364	205	15	prediction	prediction	NOUN
aiti-8364	205	16	model	model	NOUN
aiti-8364	205	17	,	,	PUNCT
aiti-8364	205	18	it	it	PRON
aiti-8364	205	19	came	come	VERB
aiti-8364	205	20	out	out	ADP
aiti-8364	205	21	that	that	SCONJ
aiti-8364	205	22	the	the	DET
aiti-8364	205	23	hgbc	hgbc	NOUN
aiti-8364	205	24	is	be	AUX
aiti-8364	205	25	the	the	DET
aiti-8364	205	26	winner	winner	NOUN
aiti-8364	205	27	with	with	ADP
aiti-8364	205	28	an	an	DET
aiti-8364	205	29	accuracy	accuracy	NOUN
aiti-8364	205	30	of	of	ADP
aiti-8364	205	31	0.91	0.91	NUM
aiti-8364	205	32	,	,	PUNCT
aiti-8364	205	33	and	and	CCONJ
aiti-8364	205	34	the	the	DET
aiti-8364	205	35	f1	f1	PROPN
aiti-8364	205	36	score	score	NOUN
aiti-8364	205	37	is	be	AUX
aiti-8364	205	38	0.833	0.833	NUM
aiti-8364	205	39	.	.	PUNCT
aiti-8364	206	1	fig	fig	NOUN
aiti-8364	206	2	.	.	PUNCT
aiti-8364	207	1	3	3	NUM
aiti-8364	207	2	shows	show	VERB
aiti-8364	207	3	the	the	DET
aiti-8364	207	4	accuracy	accuracy	NOUN
aiti-8364	207	5	comparison	comparison	NOUN
aiti-8364	207	6	among	among	ADP
aiti-8364	207	7	all	all	DET
aiti-8364	207	8	the	the	DET
aiti-8364	207	9	models	model	NOUN
aiti-8364	207	10	.	.	PUNCT
aiti-8364	208	1	a	a	DET
aiti-8364	208	2	roc	roc	PROPN
aiti-8364	208	3	curve	curve	NOUN
aiti-8364	208	4	is	be	AUX
aiti-8364	208	5	a	a	DET
aiti-8364	208	6	graph	graph	NOUN
aiti-8364	208	7	showing	show	VERB
aiti-8364	208	8	the	the	DET
aiti-8364	208	9	performance	performance	NOUN
aiti-8364	208	10	of	of	ADP
aiti-8364	208	11	a	a	DET
aiti-8364	208	12	classification	classification	NOUN
aiti-8364	208	13	model	model	NOUN
aiti-8364	208	14	at	at	ADP
aiti-8364	208	15	all	all	DET
aiti-8364	208	16	classification	classification	NOUN
aiti-8364	208	17	thresholds	threshold	NOUN
aiti-8364	208	18	.	.	PUNCT
aiti-8364	209	1	most	most	ADJ
aiti-8364	209	2	of	of	ADP
aiti-8364	209	3	the	the	DET
aiti-8364	209	4	algorithms	algorithm	NOUN
aiti-8364	209	5	show	show	VERB
aiti-8364	209	6	a	a	DET
aiti-8364	209	7	high	high	ADJ
aiti-8364	209	8	chance	chance	NOUN
aiti-8364	209	9	that	that	SCONJ
aiti-8364	209	10	the	the	DET
aiti-8364	209	11	classifier	classifier	NOUN
aiti-8364	209	12	will	will	AUX
aiti-8364	209	13	be	be	AUX
aiti-8364	209	14	able	able	ADJ
aiti-8364	209	15	to	to	PART
aiti-8364	209	16	distinguish	distinguish	VERB
aiti-8364	209	17	the	the	DET
aiti-8364	209	18	positive	positive	ADJ
aiti-8364	209	19	class	class	NOUN
aiti-8364	209	20	values	value	NOUN
aiti-8364	209	21	from	from	ADP
aiti-8364	209	22	the	the	DET
aiti-8364	209	23	negative	negative	ADJ
aiti-8364	209	24	class	class	NOUN
aiti-8364	209	25	values	value	NOUN
aiti-8364	209	26	.	.	PUNCT
aiti-8364	210	1	6	6	X
aiti-8364	210	2	.	.	X
aiti-8364	210	3	conclusion	conclusion	NOUN
aiti-8364	210	4	and	and	CCONJ
aiti-8364	210	5	future	future	ADJ
aiti-8364	210	6	work	work	NOUN
aiti-8364	210	7	in	in	ADP
aiti-8364	210	8	this	this	DET
aiti-8364	210	9	work	work	NOUN
aiti-8364	210	10	,	,	PUNCT
aiti-8364	210	11	a	a	DET
aiti-8364	210	12	machine	machine	NOUN
aiti-8364	210	13	learning	learning	NOUN
aiti-8364	210	14	model	model	NOUN
aiti-8364	210	15	has	have	AUX
aiti-8364	210	16	been	be	AUX
aiti-8364	210	17	presented	present	VERB
aiti-8364	210	18	that	that	PRON
aiti-8364	210	19	can	can	AUX
aiti-8364	210	20	determine	determine	VERB
aiti-8364	210	21	whether	whether	SCONJ
aiti-8364	210	22	it	it	PRON
aiti-8364	210	23	will	will	AUX
aiti-8364	210	24	rain	rain	VERB
aiti-8364	210	25	or	or	CCONJ
aiti-8364	210	26	not	not	PART
aiti-8364	210	27	on	on	ADP
aiti-8364	210	28	the	the	DET
aiti-8364	210	29	very	very	ADV
aiti-8364	210	30	next	next	ADJ
aiti-8364	210	31	day	day	NOUN
aiti-8364	210	32	.	.	PUNCT
aiti-8364	211	1	real	real	ADJ
aiti-8364	211	2	data	datum	NOUN
aiti-8364	211	3	from	from	ADP
aiti-8364	211	4	australia	australia	PROPN
aiti-8364	211	5	has	have	AUX
aiti-8364	211	6	been	be	AUX
aiti-8364	211	7	adopted	adopt	VERB
aiti-8364	211	8	from	from	ADP
aiti-8364	211	9	the	the	DET
aiti-8364	211	10	kaggle	kaggle	ADJ
aiti-8364	211	11	platform	platform	NOUN
aiti-8364	211	12	and	and	CCONJ
aiti-8364	211	13	implemented	implement	VERB
aiti-8364	211	14	in	in	ADP
aiti-8364	211	15	the	the	DET
aiti-8364	211	16	model	model	NOUN
aiti-8364	211	17	.	.	PUNCT
aiti-8364	212	1	this	this	DET
aiti-8364	212	2	data	data	NOUN
aiti-8364	212	3	-	-	PUNCT
aiti-8364	212	4	driven	drive	VERB
aiti-8364	212	5	model	model	NOUN
aiti-8364	212	6	is	be	AUX
aiti-8364	212	7	more	more	ADV
aiti-8364	212	8	accurate	accurate	ADJ
aiti-8364	212	9	than	than	ADP
aiti-8364	212	10	any	any	DET
aiti-8364	212	11	other	other	ADJ
aiti-8364	212	12	statistical	statistical	ADJ
aiti-8364	212	13	or	or	CCONJ
aiti-8364	212	14	numerical	numerical	ADV
aiti-8364	212	15	-	-	PUNCT
aiti-8364	212	16	based	base	VERB
aiti-8364	212	17	model	model	NOUN
aiti-8364	212	18	.	.	PUNCT
aiti-8364	213	1	the	the	DET
aiti-8364	213	2	primary	primary	ADJ
aiti-8364	213	3	purpose	purpose	NOUN
aiti-8364	213	4	here	here	ADV
aiti-8364	213	5	is	be	AUX
aiti-8364	213	6	to	to	PART
aiti-8364	213	7	find	find	VERB
aiti-8364	213	8	the	the	DET
aiti-8364	213	9	best	good	ADJ
aiti-8364	213	10	classifiers	classifier	NOUN
aiti-8364	213	11	for	for	ADP
aiti-8364	213	12	predicting	predict	VERB
aiti-8364	213	13	rainfall	rainfall	NOUN
aiti-8364	213	14	.	.	PUNCT
aiti-8364	214	1	for	for	ADP
aiti-8364	214	2	this	this	DET
aiti-8364	214	3	reason	reason	NOUN
aiti-8364	214	4	,	,	PUNCT
aiti-8364	214	5	various	various	ADJ
aiti-8364	214	6	machine	machine	NOUN
aiti-8364	214	7	learning	learn	VERB
aiti-8364	214	8	classifiers	classifier	NOUN
aiti-8364	214	9	have	have	AUX
aiti-8364	214	10	been	be	AUX
aiti-8364	214	11	implemented	implement	VERB
aiti-8364	214	12	.	.	PUNCT
aiti-8364	215	1	eventually	eventually	ADV
aiti-8364	215	2	,	,	PUNCT
aiti-8364	215	3	the	the	DET
aiti-8364	215	4	most	most	ADV
aiti-8364	215	5	significant	significant	ADJ
aiti-8364	215	6	performance	performance	NOUN
aiti-8364	215	7	metrics	metric	NOUN
aiti-8364	215	8	have	have	AUX
aiti-8364	215	9	been	be	AUX
aiti-8364	215	10	compared	compare	VERB
aiti-8364	215	11	,	,	PUNCT
aiti-8364	215	12	including	include	VERB
aiti-8364	215	13	accuracy	accuracy	NOUN
aiti-8364	215	14	,	,	PUNCT
aiti-8364	215	15	f1	f1	PROPN
aiti-8364	215	16	scores	score	NOUN
aiti-8364	215	17	,	,	PUNCT
aiti-8364	215	18	roc	roc	PROPN
aiti-8364	215	19	,	,	PUNCT
aiti-8364	215	20	auc	auc	NOUN
aiti-8364	215	21	,	,	PUNCT
aiti-8364	215	22	and	and	CCONJ
aiti-8364	215	23	hgbc	hgbc	PROPN
aiti-8364	215	24	have	have	AUX
aiti-8364	215	25	shown	show	VERB
aiti-8364	215	26	the	the	DET
aiti-8364	215	27	best	good	ADJ
aiti-8364	215	28	accuracy	accuracy	NOUN
aiti-8364	215	29	with	with	ADP
aiti-8364	215	30	a	a	DET
aiti-8364	215	31	good	good	ADJ
aiti-8364	215	32	score	score	NOUN
aiti-8364	215	33	.	.	PUNCT
aiti-8364	216	1	all	all	DET
aiti-8364	216	2	the	the	DET
aiti-8364	216	3	models	model	NOUN
aiti-8364	216	4	used	use	VERB
aiti-8364	216	5	here	here	ADV
aiti-8364	216	6	have	have	AUX
aiti-8364	216	7	been	be	AUX
aiti-8364	216	8	trained	train	VERB
aiti-8364	216	9	based	base	VERB
aiti-8364	216	10	on	on	ADP
aiti-8364	216	11	the	the	DET
aiti-8364	216	12	dataset	dataset	NOUN
aiti-8364	216	13	of	of	ADP
aiti-8364	216	14	a	a	DET
aiti-8364	216	15	particular	particular	ADJ
aiti-8364	216	16	zone	zone	NOUN
aiti-8364	216	17	.	.	PUNCT
aiti-8364	217	1	therefore	therefore	ADV
aiti-8364	217	2	,	,	PUNCT
aiti-8364	217	3	rain	rain	NOUN
aiti-8364	217	4	prediction	prediction	NOUN
aiti-8364	217	5	accuracy	accuracy	NOUN
aiti-8364	217	6	may	may	AUX
aiti-8364	217	7	vary	vary	VERB
aiti-8364	217	8	depending	depend	VERB
aiti-8364	217	9	on	on	ADP
aiti-8364	217	10	the	the	DET
aiti-8364	217	11	dataset	dataset	NOUN
aiti-8364	217	12	characteristics	characteristic	NOUN
aiti-8364	217	13	.	.	PUNCT
aiti-8364	218	1	training	train	VERB
aiti-8364	218	2	this	this	DET
aiti-8364	218	3	model	model	NOUN
aiti-8364	218	4	with	with	ADP
aiti-8364	218	5	a	a	DET
aiti-8364	218	6	dataset	dataset	NOUN
aiti-8364	218	7	that	that	PRON
aiti-8364	218	8	has	have	VERB
aiti-8364	218	9	a	a	DET
aiti-8364	218	10	sample	sample	NOUN
aiti-8364	218	11	collected	collect	VERB
aiti-8364	218	12	from	from	ADP
aiti-8364	218	13	diverse	diverse	ADJ
aiti-8364	218	14	places	place	NOUN
aiti-8364	218	15	can	can	AUX
aiti-8364	218	16	make	make	VERB
aiti-8364	218	17	this	this	DET
aiti-8364	218	18	model	model	NOUN
aiti-8364	218	19	more	more	ADV
aiti-8364	218	20	general	general	ADJ
aiti-8364	218	21	and	and	CCONJ
aiti-8364	218	22	suitable	suitable	ADJ
aiti-8364	218	23	for	for	ADP
aiti-8364	218	24	all	all	DET
aiti-8364	218	25	locations	location	NOUN
aiti-8364	218	26	in	in	ADP
aiti-8364	218	27	this	this	DET
aiti-8364	218	28	world	world	NOUN
aiti-8364	218	29	.	.	PUNCT
aiti-8364	219	1	this	this	DET
aiti-8364	219	2	proposed	propose	VERB
aiti-8364	219	3	model	model	NOUN
aiti-8364	219	4	will	will	AUX
aiti-8364	219	5	be	be	AUX
aiti-8364	219	6	able	able	ADJ
aiti-8364	219	7	to	to	PART
aiti-8364	219	8	forecast	forecast	VERB
aiti-8364	219	9	the	the	DET
aiti-8364	219	10	rain	rain	NOUN
aiti-8364	219	11	for	for	ADP
aiti-8364	219	12	the	the	DET
aiti-8364	219	13	short	short	ADJ
aiti-8364	219	14	-	-	PUNCT
aiti-8364	219	15	term	term	NOUN
aiti-8364	219	16	,	,	PUNCT
aiti-8364	219	17	specifically	specifically	ADV
aiti-8364	219	18	for	for	ADP
aiti-8364	219	19	the	the	DET
aiti-8364	219	20	next	next	ADJ
aiti-8364	219	21	day	day	NOUN
aiti-8364	219	22	.	.	PUNCT
aiti-8364	220	1	a	a	DET
aiti-8364	220	2	new	new	ADJ
aiti-8364	220	3	model	model	NOUN
aiti-8364	220	4	can	can	AUX
aiti-8364	220	5	be	be	AUX
aiti-8364	220	6	built	build	VERB
aiti-8364	220	7	that	that	PRON
aiti-8364	220	8	will	will	AUX
aiti-8364	220	9	predict	predict	VERB
aiti-8364	220	10	the	the	DET
aiti-8364	220	11	rain	rain	NOUN
aiti-8364	220	12	for	for	ADP
aiti-8364	220	13	the	the	DET
aiti-8364	220	14	long	long	ADJ
aiti-8364	220	15	term	term	NOUN
aiti-8364	220	16	in	in	ADP
aiti-8364	220	17	the	the	DET
aiti-8364	220	18	future	future	NOUN
aiti-8364	220	19	.	.	PUNCT
aiti-8364	221	1	combining	combine	VERB
aiti-8364	221	2	this	this	DET
aiti-8364	221	3	two	two	NUM
aiti-8364	221	4	may	may	AUX
aiti-8364	221	5	build	build	VERB
aiti-8364	221	6	a	a	DET
aiti-8364	221	7	complete	complete	ADJ
aiti-8364	221	8	solution	solution	NOUN
aiti-8364	221	9	for	for	ADP
aiti-8364	221	10	rain	rain	NOUN
aiti-8364	221	11	prediction	prediction	NOUN
aiti-8364	221	12	.	.	PUNCT
aiti-8364	222	1	moreover	moreover	ADV
aiti-8364	222	2	,	,	PUNCT
aiti-8364	222	3	this	this	DET
aiti-8364	222	4	machine	machine	NOUN
aiti-8364	222	5	learning	learning	NOUN
aiti-8364	222	6	-	-	PUNCT
aiti-8364	222	7	based	base	VERB
aiti-8364	222	8	model	model	NOUN
aiti-8364	222	9	may	may	AUX
aiti-8364	222	10	not	not	PART
aiti-8364	222	11	be	be	AUX
aiti-8364	222	12	easily	easily	ADV
aiti-8364	222	13	useable	useable	ADJ
aiti-8364	222	14	for	for	ADP
aiti-8364	222	15	general	general	ADJ
aiti-8364	222	16	people	people	NOUN
aiti-8364	222	17	.	.	PUNCT
aiti-8364	223	1	therefore	therefore	ADV
aiti-8364	223	2	,	,	PUNCT
aiti-8364	223	3	mobile	mobile	NOUN
aiti-8364	223	4	and	and	CCONJ
aiti-8364	223	5	advances	advance	NOUN
aiti-8364	223	6	in	in	ADP
aiti-8364	223	7	technology	technology	NOUN
aiti-8364	223	8	innovation	innovation	NOUN
aiti-8364	223	9	,	,	PUNCT
aiti-8364	223	10	vol	vol	NOUN
aiti-8364	223	11	.	.	PROPN
aiti-8364	223	12	8	8	NUM
aiti-8364	223	13	,	,	PUNCT
aiti-8364	223	14	no	no	INTJ
aiti-8364	223	15	.	.	NOUN
aiti-8364	223	16	2	2	NUM
aiti-8364	223	17	,	,	PUNCT
aiti-8364	223	18	2023	2023	NUM
aiti-8364	223	19	,	,	PUNCT
aiti-8364	223	20	pp	pp	ADJ
aiti-8364	223	21	.	.	PUNCT
aiti-8364	223	22	111	111	NUM
aiti-8364	223	23	-	-	SYM
aiti-8364	223	24	120	120	NUM
aiti-8364	223	25	119	119	NUM
aiti-8364	223	26	computer	computer	NOUN
aiti-8364	223	27	apps	app	NOUN
aiti-8364	223	28	can	can	AUX
aiti-8364	223	29	be	be	AUX
aiti-8364	223	30	built	build	VERB
aiti-8364	223	31	so	so	SCONJ
aiti-8364	223	32	those	those	DET
aiti-8364	223	33	general	general	ADJ
aiti-8364	223	34	people	people	NOUN
aiti-8364	223	35	can	can	AUX
aiti-8364	223	36	easily	easily	ADV
aiti-8364	223	37	use	use	VERB
aiti-8364	223	38	them	they	PRON
aiti-8364	223	39	.	.	PUNCT
aiti-8364	224	1	a	a	DET
aiti-8364	224	2	deep	deep	ADJ
aiti-8364	224	3	learning	learning	NOUN
aiti-8364	224	4	and	and	CCONJ
aiti-8364	224	5	nn	nn	PROPN
aiti-8364	224	6	model	model	NOUN
aiti-8364	224	7	approach	approach	NOUN
aiti-8364	224	8	can	can	AUX
aiti-8364	224	9	be	be	AUX
aiti-8364	224	10	used	use	VERB
aiti-8364	224	11	to	to	PART
aiti-8364	224	12	improve	improve	VERB
aiti-8364	224	13	the	the	DET
aiti-8364	224	14	result	result	NOUN
aiti-8364	224	15	.	.	PUNCT
aiti-8364	225	1	undoubtedly	undoubtedly	ADV
aiti-8364	225	2	,	,	PUNCT
aiti-8364	225	3	there	there	PRON
aiti-8364	225	4	is	be	VERB
aiti-8364	225	5	a	a	DET
aiti-8364	225	6	plan	plan	NOUN
aiti-8364	225	7	to	to	PART
aiti-8364	225	8	evaluate	evaluate	VERB
aiti-8364	225	9	the	the	DET
aiti-8364	225	10	other	other	ADJ
aiti-8364	225	11	country	country	NOUN
aiti-8364	225	12	’s	’s	PART
aiti-8364	225	13	data	datum	NOUN
aiti-8364	225	14	for	for	ADP
aiti-8364	225	15	forecasting	forecast	VERB
aiti-8364	225	16	the	the	DET
aiti-8364	225	17	rain	rain	NOUN
aiti-8364	225	18	using	use	VERB
aiti-8364	225	19	this	this	DET
aiti-8364	225	20	model	model	NOUN
aiti-8364	225	21	.	.	PUNCT
aiti-8364	226	1	thus	thus	ADV
aiti-8364	226	2	,	,	PUNCT
aiti-8364	226	3	this	this	DET
aiti-8364	226	4	model	model	NOUN
aiti-8364	226	5	is	be	AUX
aiti-8364	226	6	expected	expect	VERB
aiti-8364	226	7	to	to	PART
aiti-8364	226	8	be	be	AUX
aiti-8364	226	9	a	a	DET
aiti-8364	226	10	universal	universal	ADJ
aiti-8364	226	11	and	and	CCONJ
aiti-8364	226	12	easy	easy	ADJ
aiti-8364	226	13	rain	rain	NOUN
aiti-8364	226	14	prediction	prediction	NOUN
aiti-8364	226	15	tool	tool	NOUN
aiti-8364	226	16	for	for	ADP
aiti-8364	226	17	ordinary	ordinary	ADJ
aiti-8364	226	18	people	people	NOUN
aiti-8364	226	19	.	.	PUNCT
aiti-8364	227	1	nomenclature	nomenclature	NOUN
aiti-8364	227	2	hgbc	hgbc	PROPN
aiti-8364	227	3	hist	hist	PROPN
aiti-8364	227	4	gradient	gradient	PROPN
aiti-8364	227	5	boosting	boost	VERB
aiti-8364	227	6	classifier	classifier	NOUN
aiti-8364	227	7	bc	bc	PROPN
aiti-8364	227	8	bagging	bagging	NOUN
aiti-8364	227	9	classifier	classifier	PROPN
aiti-8364	227	10	roc	roc	PROPN
aiti-8364	227	11	receiver	receiver	NOUN
aiti-8364	227	12	operating	operate	VERB
aiti-8364	227	13	characteristic	characteristic	ADJ
aiti-8364	227	14	gbc	gbc	PROPN
aiti-8364	227	15	gradient	gradient	NOUN
aiti-8364	227	16	boosting	boost	VERB
aiti-8364	227	17	classifier	classifier	NOUN
aiti-8364	227	18	auc	auc	NOUN
aiti-8364	227	19	area	area	NOUN
aiti-8364	227	20	under	under	ADP
aiti-8364	227	21	the	the	DET
aiti-8364	227	22	curve	curve	NOUN
aiti-8364	227	23	rfc	rfc	PROPN
aiti-8364	227	24	random	random	ADJ
aiti-8364	227	25	forest	forest	NOUN
aiti-8364	227	26	classifier	classifier	PROPN
aiti-8364	227	27	nn	nn	PROPN
aiti-8364	227	28	neural	neural	ADJ
aiti-8364	227	29	networks	network	NOUN
aiti-8364	227	30	mnb	mnb	VERB
aiti-8364	227	31	multinomial	multinomial	ADJ
aiti-8364	227	32	naive	naive	ADJ
aiti-8364	227	33	bayes	bayes	NOUN
aiti-8364	227	34	svm	svm	VERB
aiti-8364	227	35	support	support	NOUN
aiti-8364	227	36	vector	vector	NOUN
aiti-8364	227	37	machine	machine	NOUN
aiti-8364	227	38	conb	conb	NOUN
aiti-8364	227	39	complement	complement	VERB
aiti-8364	227	40	naive	naive	ADJ
aiti-8364	227	41	bayes	bayes	NOUN
aiti-8364	227	42	pso	pso	NOUN
aiti-8364	227	43	particle	particle	NOUN
aiti-8364	227	44	swarm	swarm	NOUN
aiti-8364	227	45	optimization	optimization	NOUN
aiti-8364	228	1	cnb	cnb	PROPN
aiti-8364	228	2	categorical	categorical	ADJ
aiti-8364	228	3	naive	naive	ADJ
aiti-8364	228	4	bayes	bayes	NOUN
aiti-8364	228	5	classifier	classifier	PROPN
aiti-8364	228	6	mlp	mlp	PROPN
aiti-8364	228	7	multi	multi	ADJ
aiti-8364	228	8	-	-	ADJ
aiti-8364	228	9	layer	layer	ADJ
aiti-8364	228	10	perceptron	perceptron	PROPN
aiti-8364	228	11	gnb	gnb	PROPN
aiti-8364	228	12	gaussian	gaussian	PROPN
aiti-8364	228	13	naive	naive	ADJ
aiti-8364	228	14	bayes	bayes	PROPN
aiti-8364	228	15	mm	mm	PROPN
aiti-8364	228	16	measured	measure	VERB
aiti-8364	228	17	in	in	ADP
aiti-8364	228	18	millimeters	millimeter	NOUN
aiti-8364	228	19	cc	cc	ADP
aiti-8364	228	20	calibration	calibration	NOUN
aiti-8364	228	21	classifier	classifier	PROPN
aiti-8364	228	22	cv	cv	PROPN
aiti-8364	228	23	cross	cross	PROPN
aiti-8364	228	24	-	-	ADJ
aiti-8364	228	25	validation	validation	ADJ
aiti-8364	228	26	lp	lp	ADJ
aiti-8364	228	27	label	label	NOUN
aiti-8364	228	28	propagation	propagation	NOUN
aiti-8364	228	29	knn	knn	NOUN
aiti-8364	229	1	k	k	NOUN
aiti-8364	229	2	-	-	PUNCT
aiti-8364	229	3	nearest	near	ADJ
aiti-8364	229	4	neighbors	neighbor	NOUN
aiti-8364	229	5	ls	ls	ADJ
aiti-8364	229	6	label	label	NOUN
aiti-8364	229	7	spreading	spread	VERB
aiti-8364	229	8	nan	nan	PROPN
aiti-8364	229	9	not	not	PART
aiti-8364	229	10	-	-	PUNCT
aiti-8364	229	11	a	a	DET
aiti-8364	229	12	-	-	PUNCT
aiti-8364	229	13	number	number	NOUN
aiti-8364	229	14	lda	lda	PROPN
aiti-8364	229	15	linear	linear	PROPN
aiti-8364	229	16	discriminant	discriminant	ADJ
aiti-8364	229	17	analysis	analysis	NOUN
aiti-8364	229	18	nb	nb	INTJ
aiti-8364	229	19	naive	naive	ADJ
aiti-8364	229	20	bayes	bayes	PROPN
aiti-8364	229	21	qda	qda	PROPN
aiti-8364	229	22	quadratic	quadratic	ADJ
aiti-8364	229	23	discriminant	discriminant	NOUN
aiti-8364	229	24	analysis	analysis	NOUN
aiti-8364	229	25	rs	rs	NOUN
aiti-8364	229	26	recall	recall	NOUN
aiti-8364	229	27	score	score	NOUN
aiti-8364	229	28	lsvc	lsvc	PROPN
aiti-8364	229	29	linear	linear	PROPN
aiti-8364	229	30	support	support	NOUN
aiti-8364	229	31	vector	vector	NOUN
aiti-8364	229	32	classifier	classifier	NOUN
aiti-8364	229	33	ps	ps	PROPN
aiti-8364	229	34	precision	precision	NOUN
aiti-8364	229	35	score	score	NOUN
aiti-8364	229	36	nusvc	nusvc	ADV
aiti-8364	229	37	nu	nu	INTJ
aiti-8364	229	38	support	support	NOUN
aiti-8364	229	39	vector	vector	NOUN
aiti-8364	229	40	classification	classification	NOUN
aiti-8364	229	41	fbs	fbs	AUX
aiti-8364	229	42	f	f	X
aiti-8364	229	43	-	-	PUNCT
aiti-8364	229	44	beta	beta	ADJ
aiti-8364	229	45	score	score	NOUN
aiti-8364	229	46	sgdc	sgdc	NOUN
aiti-8364	229	47	stochastic	stochastic	ADJ
aiti-8364	229	48	gradient	gradient	ADJ
aiti-8364	229	49	descent	descent	NOUN
aiti-8364	229	50	classifier	classifier	NOUN
aiti-8364	229	51	hl	hl	NOUN
aiti-8364	229	52	hamming	ham	VERB
aiti-8364	229	53	loss	loss	PROPN
aiti-8364	229	54	rdc	rdc	PROPN
aiti-8364	229	55	ridge	ridge	PROPN
aiti-8364	229	56	classifier	classifier	PROPN
aiti-8364	229	57	js	js	PROPN
aiti-8364	229	58	jaccard	jaccard	PROPN
aiti-8364	229	59	score	score	PROPN
aiti-8364	229	60	rdcv	rdcv	PROPN
aiti-8364	229	61	ridge	ridge	PROPN
aiti-8364	229	62	classifier	classifier	PROPN
aiti-8364	229	63	cv	cv	PROPN
aiti-8364	229	64	mc	mc	PROPN
aiti-8364	229	65	matthew	matthew	PROPN
aiti-8364	229	66	’s	’s	PART
aiti-8364	229	67	correlation	correlation	NOUN
aiti-8364	229	68	pac	pac	PROPN
aiti-8364	230	1	passive	passive	ADJ
aiti-8364	230	2	aggressive	aggressive	ADJ
aiti-8364	230	3	classifier	classifier	NOUN
aiti-8364	230	4	bac	bac	PROPN
aiti-8364	230	5	balanced	balanced	ADJ
aiti-8364	230	6	accuracy	accuracy	NOUN
aiti-8364	230	7	lrcv	lrcv	PROPN
aiti-8364	230	8	logistic	logistic	ADJ
aiti-8364	230	9	regression	regression	NOUN
aiti-8364	230	10	cv	cv	PROPN
aiti-8364	230	11	cks	cks	PROPN
aiti-8364	230	12	cohen	cohen	PROPN
aiti-8364	230	13	’s	’s	PART
aiti-8364	230	14	kappa	kappa	PROPN
aiti-8364	230	15	lr	lr	X
aiti-8364	230	16	logistic	logistic	ADJ
aiti-8364	230	17	regression	regression	NOUN
aiti-8364	230	18	knc	knc	VERB
aiti-8364	230	19	k	k	PROPN
aiti-8364	230	20	neighbors	neighbor	NOUN
aiti-8364	230	21	’	'	PUNCT
aiti-8364	230	22	classifier	classifier	NOUN
aiti-8364	230	23	pr	pr	PROPN
aiti-8364	230	24	perceptron	perceptron	PROPN
aiti-8364	230	25	classifier	classifier	PROPN
aiti-8364	230	26	nc	nc	PROPN
aiti-8364	230	27	nearest	nearest	PROPN
aiti-8364	230	28	centroid	centroid	PROPN
aiti-8364	230	29	il	il	PROPN
aiti-8364	230	30	impact	impact	PROPN
aiti-8364	230	31	learning	learn	VERB
aiti-8364	230	32	rnc	rnc	PROPN
aiti-8364	230	33	radius	radius	PROPN
aiti-8364	230	34	neighbor	neighbor	NOUN
aiti-8364	230	35	’s	’s	PART
aiti-8364	230	36	classifier	classifier	PROPN
aiti-8364	230	37	gpc	gpc	PROPN
aiti-8364	230	38	gaussian	gaussian	PROPN
aiti-8364	230	39	process	process	NOUN
aiti-8364	230	40	classifier	classifier	PROPN
aiti-8364	230	41	adc	adc	PROPN
aiti-8364	230	42	adaboost	adaboost	PROPN
aiti-8364	230	43	classifier	classifier	PROPN
aiti-8364	230	44	mlpc	mlpc	PROPN
aiti-8364	230	45	multi	multi	ADJ
aiti-8364	230	46	-	-	ADJ
aiti-8364	230	47	layer	layer	ADJ
aiti-8364	230	48	perceptron	perceptron	NOUN
aiti-8364	230	49	classifier	classifier	NOUN
aiti-8364	230	50	conflicts	conflict	NOUN
aiti-8364	230	51	of	of	ADP
aiti-8364	230	52	interest	interest	NOUN
aiti-8364	230	53	the	the	DET
aiti-8364	230	54	authors	author	NOUN
aiti-8364	230	55	declare	declare	VERB
aiti-8364	230	56	no	no	DET
aiti-8364	230	57	conflict	conflict	NOUN
aiti-8364	230	58	of	of	ADP
aiti-8364	230	59	interest	interest	NOUN
aiti-8364	230	60	.	.	PUNCT
aiti-8364	231	1	references	reference	NOUN
aiti-8364	231	2	[	[	X
aiti-8364	231	3	1	1	NUM
aiti-8364	231	4	]	]	PUNCT
aiti-8364	231	5	k.	k.	PROPN
aiti-8364	231	6	t.	t.	PROPN
aiti-8364	231	7	sohn	sohn	PROPN
aiti-8364	231	8	,	,	PUNCT
aiti-8364	231	9	j.	j.	PROPN
aiti-8364	231	10	h.	h.	PROPN
aiti-8364	231	11	lee	lee	PROPN
aiti-8364	231	12	,	,	PUNCT
aiti-8364	231	13	and	and	CCONJ
aiti-8364	231	14	s.	s.	PROPN
aiti-8364	231	15	h.	h.	PROPN
aiti-8364	231	16	lee	lee	PROPN
aiti-8364	231	17	,	,	PUNCT
aiti-8364	231	18	“	"	PUNCT
aiti-8364	231	19	statistical	statistical	ADJ
aiti-8364	231	20	prediction	prediction	NOUN
aiti-8364	231	21	of	of	ADP
aiti-8364	231	22	heavy	heavy	ADJ
aiti-8364	231	23	rain	rain	NOUN
aiti-8364	231	24	in	in	ADP
aiti-8364	231	25	south	south	PROPN
aiti-8364	231	26	korea	korea	PROPN
aiti-8364	231	27	,	,	PUNCT
aiti-8364	231	28	”	"	PUNCT
aiti-8364	231	29	advances	advance	NOUN
aiti-8364	231	30	in	in	ADP
aiti-8364	231	31	atmospheric	atmospheric	ADJ
aiti-8364	231	32	sciences	science	NOUN
aiti-8364	231	33	,	,	PUNCT
aiti-8364	231	34	vol	vol	NOUN
aiti-8364	231	35	.	.	PROPN
aiti-8364	232	1	22	22	NUM
aiti-8364	232	2	,	,	PUNCT
aiti-8364	232	3	no	no	INTJ
aiti-8364	232	4	.	.	NOUN
aiti-8364	232	5	5	5	NUM
aiti-8364	232	6	,	,	PUNCT
aiti-8364	232	7	pp	pp	ADJ
aiti-8364	232	8	.	.	PUNCT
aiti-8364	233	1	703	703	NUM
aiti-8364	233	2	-	-	NUM
aiti-8364	233	3	710	710	NUM
aiti-8364	233	4	,	,	PUNCT
aiti-8364	233	5	2005	2005	NUM
aiti-8364	233	6	.	.	PUNCT
aiti-8364	234	1	[	[	X
aiti-8364	234	2	2	2	X
aiti-8364	234	3	]	]	PUNCT
aiti-8364	234	4	t.	t.	NOUN
aiti-8364	234	5	denœux	denœux	NOUN
aiti-8364	234	6	and	and	CCONJ
aiti-8364	234	7	p.	p.	PROPN
aiti-8364	234	8	rizand	rizand	PROPN
aiti-8364	234	9	,	,	PUNCT
aiti-8364	234	10	“	"	PUNCT
aiti-8364	234	11	analysis	analysis	NOUN
aiti-8364	234	12	of	of	ADP
aiti-8364	234	13	radar	radar	NOUN
aiti-8364	234	14	images	image	NOUN
aiti-8364	234	15	for	for	ADP
aiti-8364	234	16	rainfall	rainfall	NOUN
aiti-8364	234	17	forecasting	forecasting	NOUN
aiti-8364	234	18	using	use	VERB
aiti-8364	234	19	neural	neural	ADJ
aiti-8364	234	20	networks	network	NOUN
aiti-8364	234	21	,	,	PUNCT
aiti-8364	234	22	”	"	PUNCT
aiti-8364	234	23	neural	neural	ADJ
aiti-8364	234	24	computing	computing	NOUN
aiti-8364	234	25	and	and	CCONJ
aiti-8364	234	26	applications	application	NOUN
aiti-8364	234	27	,	,	PUNCT
aiti-8364	234	28	vol	vol	NOUN
aiti-8364	234	29	.	.	PROPN
aiti-8364	235	1	3	3	NUM
aiti-8364	235	2	,	,	PUNCT
aiti-8364	235	3	no	no	INTJ
aiti-8364	235	4	.	.	NOUN
aiti-8364	235	5	1	1	NUM
aiti-8364	235	6	,	,	PUNCT
aiti-8364	235	7	pp	pp	ADJ
aiti-8364	235	8	.	.	PUNCT
aiti-8364	236	1	50	50	NUM
aiti-8364	236	2	-	-	SYM
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aiti-8364	236	4	,	,	PUNCT
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aiti-8364	236	7	.	.	PUNCT
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aiti-8364	237	2	3	3	X
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aiti-8364	237	4	b.	b.	PROPN
aiti-8364	237	5	k.	k.	PROPN
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aiti-8364	237	8	s.	s.	PROPN
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aiti-8364	237	10	,	,	PUNCT
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aiti-8364	237	19	s.	s.	PROPN
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aiti-8364	237	23	rain	rain	NOUN
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aiti-8364	237	44	and	and	CCONJ
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aiti-8364	238	2	-	-	SYM
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aiti-8364	238	4	,	,	PUNCT
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aiti-8364	238	7	.	.	PUNCT
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aiti-8364	239	2	4	4	X
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aiti-8364	239	19	and	and	CCONJ
aiti-8364	239	20	k.	k.	PROPN
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aiti-8364	239	34	,	,	PUNCT
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aiti-8364	239	37	of	of	ADP
aiti-8364	239	38	physics	physics	PROPN
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aiti-8364	239	42	,	,	PUNCT
aiti-8364	239	43	vol	vol	NOUN
aiti-8364	239	44	.	.	PROPN
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aiti-8364	239	46	,	,	PUNCT
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aiti-8364	239	50	,	,	PUNCT
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aiti-8364	239	55	,	,	PUNCT
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aiti-8364	240	2	5	5	X
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aiti-8364	240	9	,	,	PUNCT
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aiti-8364	240	29	mathematics	mathematic	NOUN
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aiti-8364	240	31	,	,	PUNCT
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aiti-8364	240	39	,	,	PUNCT
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aiti-8364	240	41	.	.	PUNCT
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aiti-8364	241	2	-	-	SYM
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aiti-8364	241	4	,	,	PUNCT
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aiti-8364	241	7	.	.	PUNCT
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aiti-8364	242	13	,	,	PUNCT
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aiti-8364	242	17	.	.	PUNCT
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aiti-8364	243	2	-	-	SYM
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aiti-8364	243	4	120	120	NUM
aiti-8364	243	5	[	[	X
aiti-8364	243	6	6	6	NUM
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aiti-8364	243	8	d.	d.	PROPN
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aiti-8364	243	45	advanced	advanced	ADJ
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aiti-8364	243	50	,	,	PUNCT
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aiti-8364	244	16	n.	n.	PROPN
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aiti-8364	244	48	.	.	PROPN
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aiti-8364	244	50	,	,	PUNCT
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aiti-8364	244	53	.	.	PROPN
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aiti-8364	244	55	,	,	PUNCT
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aiti-8364	244	57	.	.	PUNCT
aiti-8364	245	1	[	[	X
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aiti-8364	245	45	,	,	PUNCT
aiti-8364	245	46	pp	pp	ADJ
aiti-8364	245	47	.	.	PUNCT
aiti-8364	246	1	5	5	NUM
aiti-8364	246	2	-	-	SYM
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aiti-8364	246	4	,	,	PUNCT
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aiti-8364	247	17	m.	m.	NOUN
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aiti-8364	247	19	,	,	PUNCT
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aiti-8364	250	15	,	,	PUNCT
aiti-8364	250	16	“	"	PUNCT
aiti-8364	250	17	an	an	DET
aiti-8364	250	18	application	application	NOUN
aiti-8364	250	19	of	of	ADP
aiti-8364	250	20	artificial	artificial	ADJ
aiti-8364	250	21	neural	neural	ADJ
aiti-8364	250	22	networks	network	NOUN
aiti-8364	250	23	for	for	ADP
aiti-8364	250	24	rainfall	rainfall	NOUN
aiti-8364	250	25	forecasting	forecasting	NOUN
aiti-8364	250	26	,	,	PUNCT
aiti-8364	250	27	”	"	PUNCT
aiti-8364	250	28	mathematical	mathematical	ADJ
aiti-8364	250	29	and	and	CCONJ
aiti-8364	250	30	computer	computer	NOUN
aiti-8364	250	31	modeling	modeling	NOUN
aiti-8364	250	32	,	,	PUNCT
aiti-8364	250	33	vol	vol	NOUN
aiti-8364	250	34	.	.	PROPN
aiti-8364	250	35	33	33	NUM
aiti-8364	250	36	,	,	PUNCT
aiti-8364	250	37	no	no	INTJ
aiti-8364	250	38	.	.	NOUN
aiti-8364	250	39	6	6	NUM
aiti-8364	250	40	-	-	SYM
aiti-8364	250	41	7	7	NUM
aiti-8364	250	42	,	,	PUNCT
aiti-8364	250	43	pp	pp	ADJ
aiti-8364	250	44	.	.	PUNCT
aiti-8364	251	1	683	683	NUM
aiti-8364	251	2	-	-	SYM
aiti-8364	251	3	693	693	NUM
aiti-8364	251	4	,	,	PUNCT
aiti-8364	251	5	march	march	PROPN
aiti-8364	251	6	2001	2001	NUM
aiti-8364	251	7	.	.	PUNCT
aiti-8364	252	1	[	[	X
aiti-8364	252	2	11	11	NUM
aiti-8364	252	3	]	]	PUNCT
aiti-8364	252	4	j.	j.	PROPN
aiti-8364	252	5	abbot	abbot	PROPN
aiti-8364	252	6	and	and	CCONJ
aiti-8364	252	7	j.	j.	PROPN
aiti-8364	252	8	marohasy	marohasy	PROPN
aiti-8364	252	9	,	,	PUNCT
aiti-8364	252	10	“	"	PUNCT
aiti-8364	252	11	application	application	NOUN
aiti-8364	252	12	of	of	ADP
aiti-8364	252	13	artificial	artificial	ADJ
aiti-8364	252	14	neural	neural	ADJ
aiti-8364	252	15	networks	network	NOUN
aiti-8364	252	16	to	to	ADP
aiti-8364	252	17	rainfall	rainfall	NOUN
aiti-8364	252	18	forecasting	forecasting	NOUN
aiti-8364	252	19	in	in	ADP
aiti-8364	252	20	queensland	queensland	PROPN
aiti-8364	252	21	,	,	PUNCT
aiti-8364	252	22	australia	australia	PROPN
aiti-8364	252	23	,	,	PUNCT
aiti-8364	252	24	”	"	PUNCT
aiti-8364	252	25	advances	advance	NOUN
aiti-8364	252	26	in	in	ADP
aiti-8364	252	27	atmospheric	atmospheric	ADJ
aiti-8364	252	28	sciences	science	NOUN
aiti-8364	252	29	,	,	PUNCT
aiti-8364	252	30	vol	vol	NOUN
aiti-8364	252	31	.	.	PROPN
aiti-8364	252	32	29	29	NUM
aiti-8364	252	33	,	,	PUNCT
aiti-8364	252	34	no	no	INTJ
aiti-8364	252	35	.	.	NOUN
aiti-8364	252	36	4	4	NUM
aiti-8364	252	37	,	,	PUNCT
aiti-8364	252	38	pp	pp	ADJ
aiti-8364	252	39	.	.	PUNCT
aiti-8364	253	1	717	717	NUM
aiti-8364	253	2	-	-	SYM
aiti-8364	253	3	730	730	NUM
aiti-8364	253	4	,	,	PUNCT
aiti-8364	253	5	june	june	PROPN
aiti-8364	253	6	2012	2012	NUM
aiti-8364	253	7	.	.	PUNCT
aiti-8364	254	1	[	[	X
aiti-8364	254	2	12	12	NUM
aiti-8364	254	3	]	]	X
aiti-8364	254	4	c.	c.	NOUN
aiti-8364	254	5	shah	shah	PROPN
aiti-8364	254	6	,	,	PUNCT
aiti-8364	254	7	c.	c.	PROPN
aiti-8364	254	8	hendahewa	hendahewa	PROPN
aiti-8364	254	9	,	,	PUNCT
aiti-8364	254	10	and	and	CCONJ
aiti-8364	254	11	r.	r.	PROPN
aiti-8364	254	12	gonzalez	gonzalez	PROPN
aiti-8364	254	13	-	-	PUNCT
aiti-8364	254	14	ibanez	ibanez	PROPN
aiti-8364	254	15	,	,	PUNCT
aiti-8364	254	16	“	"	PUNCT
aiti-8364	254	17	rain	rain	NOUN
aiti-8364	254	18	or	or	CCONJ
aiti-8364	254	19	shine	shine	NOUN
aiti-8364	254	20	?	?	PUNCT
aiti-8364	254	21	forecasting	forecasting	NOUN
aiti-8364	254	22	search	search	NOUN
aiti-8364	254	23	process	process	NOUN
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aiti-8364	254	25	in	in	ADP
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aiti-8364	254	28	tasks	task	NOUN
aiti-8364	254	29	,	,	PUNCT
aiti-8364	254	30	”	"	PUNCT
aiti-8364	254	31	journal	journal	NOUN
aiti-8364	254	32	of	of	ADP
aiti-8364	254	33	the	the	DET
aiti-8364	254	34	association	association	NOUN
aiti-8364	254	35	for	for	ADP
aiti-8364	254	36	information	information	NOUN
aiti-8364	254	37	science	science	NOUN
aiti-8364	254	38	and	and	CCONJ
aiti-8364	254	39	technology	technology	NOUN
aiti-8364	254	40	,	,	PUNCT
aiti-8364	254	41	vol	vol	NOUN
aiti-8364	254	42	.	.	PROPN
aiti-8364	254	43	67	67	NUM
aiti-8364	254	44	,	,	PUNCT
aiti-8364	254	45	no	no	INTJ
aiti-8364	254	46	.	.	NOUN
aiti-8364	254	47	7	7	NUM
aiti-8364	254	48	,	,	PUNCT
aiti-8364	254	49	pp	pp	ADJ
aiti-8364	254	50	.	.	PUNCT
aiti-8364	255	1	1607	1607	NUM
aiti-8364	255	2	-	-	SYM
aiti-8364	255	3	1623	1623	NUM
aiti-8364	255	4	,	,	PUNCT
aiti-8364	255	5	july	july	PROPN
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aiti-8364	255	7	.	.	PUNCT
aiti-8364	256	1	[	[	X
aiti-8364	256	2	13	13	NUM
aiti-8364	256	3	]	]	PUNCT
aiti-8364	256	4	m.	m.	NOUN
aiti-8364	256	5	sangiorgio	sangiorgio	NOUN
aiti-8364	256	6	,	,	PUNCT
aiti-8364	256	7	s.	s.	PROPN
aiti-8364	256	8	barindelli	barindelli	PROPN
aiti-8364	256	9	,	,	PUNCT
aiti-8364	256	10	r.	r.	PROPN
aiti-8364	256	11	biondi	biondi	PROPN
aiti-8364	256	12	,	,	PUNCT
aiti-8364	256	13	e.	e.	PROPN
aiti-8364	256	14	solazzo	solazzo	PROPN
aiti-8364	256	15	,	,	PUNCT
aiti-8364	256	16	e.	e.	PROPN
aiti-8364	256	17	realini	realini	PROPN
aiti-8364	256	18	,	,	PUNCT
aiti-8364	256	19	g.	g.	PROPN
aiti-8364	256	20	venuti	venuti	PROPN
aiti-8364	256	21	,	,	PUNCT
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aiti-8364	256	24	.	.	PROPN
aiti-8364	256	25	,	,	PUNCT
aiti-8364	256	26	“	"	PUNCT
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aiti-8364	256	28	extreme	extreme	ADJ
aiti-8364	256	29	rainfall	rainfall	NOUN
aiti-8364	256	30	events	event	NOUN
aiti-8364	256	31	forecasting	forecast	VERB
aiti-8364	256	32	using	use	VERB
aiti-8364	256	33	neural	neural	ADJ
aiti-8364	256	34	networks	network	NOUN
aiti-8364	256	35	and	and	CCONJ
aiti-8364	256	36	water	water	NOUN
aiti-8364	256	37	vapor	vapor	NOUN
aiti-8364	256	38	measures	measure	NOUN
aiti-8364	256	39	,	,	PUNCT
aiti-8364	256	40	”	"	PUNCT
aiti-8364	256	41	6th	6th	ADJ
aiti-8364	256	42	international	international	ADJ
aiti-8364	256	43	conference	conference	NOUN
aiti-8364	256	44	on	on	ADP
aiti-8364	256	45	time	time	NOUN
aiti-8364	256	46	series	series	NOUN
aiti-8364	256	47	and	and	CCONJ
aiti-8364	256	48	forecasting	forecasting	NOUN
aiti-8364	256	49	,	,	PUNCT
aiti-8364	256	50	pp	pp	PROPN
aiti-8364	256	51	.	.	PUNCT
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aiti-8364	257	2	-	-	SYM
aiti-8364	257	3	826	826	NUM
aiti-8364	257	4	,	,	PUNCT
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aiti-8364	257	7	.	.	PUNCT
aiti-8364	258	1	[	[	X
aiti-8364	258	2	14	14	NUM
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aiti-8364	258	4	d.	d.	PROPN
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aiti-8364	258	6	,	,	PUNCT
aiti-8364	258	7	t.	t.	PROPN
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aiti-8364	258	9	,	,	PUNCT
aiti-8364	258	10	and	and	CCONJ
aiti-8364	258	11	s.	s.	PROPN
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aiti-8364	258	14	“	"	PUNCT
aiti-8364	258	15	uncertainties	uncertainty	NOUN
aiti-8364	258	16	in	in	ADP
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aiti-8364	258	18	-	-	PUNCT
aiti-8364	258	19	time	time	NOUN
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aiti-8364	258	21	forecasting	forecasting	NOUN
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aiti-8364	258	24	networks	network	NOUN
aiti-8364	258	25	,	,	PUNCT
aiti-8364	258	26	”	"	PUNCT
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aiti-8364	258	29	:	:	PUNCT
aiti-8364	258	30	an	an	DET
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aiti-8364	258	32	journal	journal	NOUN
aiti-8364	258	33	,	,	PUNCT
aiti-8364	258	34	vol	vol	NOUN
aiti-8364	258	35	.	.	PROPN
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aiti-8364	258	37	,	,	PUNCT
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aiti-8364	258	39	.	.	NOUN
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aiti-8364	258	41	,	,	PUNCT
aiti-8364	258	42	pp	pp	ADJ
aiti-8364	258	43	.	.	PUNCT
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aiti-8364	258	45	-	-	SYM
aiti-8364	258	46	228	228	NUM
aiti-8364	258	47	,	,	PUNCT
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aiti-8364	258	50	.	.	PUNCT
aiti-8364	259	1	[	[	X
aiti-8364	259	2	15	15	NUM
aiti-8364	259	3	]	]	X
aiti-8364	259	4	j.	j.	PROPN
aiti-8364	259	5	young	young	PROPN
aiti-8364	259	6	,	,	PUNCT
aiti-8364	259	7	“	"	PUNCT
aiti-8364	259	8	rain	rain	NOUN
aiti-8364	259	9	in	in	ADP
aiti-8364	259	10	australia	australia	PROPN
aiti-8364	259	11	,	,	PUNCT
aiti-8364	259	12	”	"	PUNCT
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aiti-8364	259	14	,	,	PUNCT
aiti-8364	259	15	october	october	PROPN
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aiti-8364	259	17	,	,	PUNCT
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aiti-8364	260	1	[	[	X
aiti-8364	260	2	16	16	NUM
aiti-8364	260	3	]	]	PUNCT
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aiti-8364	260	6	,	,	PUNCT
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aiti-8364	260	9	,	,	PUNCT
aiti-8364	260	10	and	and	CCONJ
aiti-8364	260	11	s.	s.	PROPN
aiti-8364	260	12	a.	a.	PROPN
aiti-8364	260	13	murad	murad	PROPN
aiti-8364	260	14	,	,	PUNCT
aiti-8364	260	15	“	"	PUNCT
aiti-8364	260	16	impact	impact	NOUN
aiti-8364	260	17	-	-	PUNCT
aiti-8364	260	18	learning	learning	NOUN
aiti-8364	260	19	:	:	PUNCT
aiti-8364	260	20	a	a	DET
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aiti-8364	260	22	machine	machine	NOUN
aiti-8364	260	23	learning	learning	NOUN
aiti-8364	260	24	algorithm	algorithm	NOUN
aiti-8364	260	25	,	,	PUNCT
aiti-8364	260	26	”	"	PUNCT
aiti-8364	260	27	proceedings	proceeding	NOUN
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aiti-8364	260	30	8th	8th	ADJ
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aiti-8364	260	32	conference	conference	NOUN
aiti-8364	260	33	on	on	ADP
aiti-8364	260	34	computer	computer	NOUN
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aiti-8364	260	36	communications	communication	NOUN
aiti-8364	260	37	management	management	NOUN
aiti-8364	260	38	,	,	PUNCT
aiti-8364	260	39	pp	pp	ADP
aiti-8364	260	40	.	.	PUNCT
aiti-8364	261	1	9	9	NUM
aiti-8364	261	2	-	-	SYM
aiti-8364	261	3	13	13	NUM
aiti-8364	261	4	,	,	PUNCT
aiti-8364	261	5	july	july	PROPN
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aiti-8364	261	7	.	.	PUNCT
aiti-8364	262	1	[	[	X
aiti-8364	262	2	17	17	NUM
aiti-8364	262	3	]	]	X
aiti-8364	262	4	c.	c.	PROPN
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aiti-8364	262	8	,	,	PUNCT
aiti-8364	262	9	“	"	PUNCT
aiti-8364	262	10	towards	towards	ADP
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aiti-8364	262	13	effects	effect	NOUN
aiti-8364	262	14	of	of	ADP
aiti-8364	262	15	data	datum	NOUN
aiti-8364	262	16	preprocessing	preprocesse	VERB
aiti-8364	262	17	on	on	ADP
aiti-8364	262	18	machine	machine	NOUN
aiti-8364	262	19	learning	learning	NOUN
aiti-8364	262	20	,	,	PUNCT
aiti-8364	262	21	”	"	PUNCT
aiti-8364	262	22	ieee	ieee	NOUN
aiti-8364	262	23	35th	35th	ADJ
aiti-8364	262	24	international	international	ADJ
aiti-8364	262	25	conference	conference	NOUN
aiti-8364	262	26	on	on	ADP
aiti-8364	262	27	data	datum	NOUN
aiti-8364	262	28	engineering	engineering	NOUN
aiti-8364	262	29	,	,	PUNCT
aiti-8364	262	30	pp	pp	ADJ
aiti-8364	262	31	.	.	PUNCT
aiti-8364	262	32	2086	2086	NUM
aiti-8364	262	33	-	-	SYM
aiti-8364	262	34	2090	2090	NUM
aiti-8364	262	35	,	,	PUNCT
aiti-8364	262	36	april	april	PROPN
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aiti-8364	262	38	.	.	PUNCT
aiti-8364	263	1	copyright	copyright	NOUN
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aiti-8364	263	6	.	.	PUNCT
aiti-8364	264	1	licensee	licensee	PROPN
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aiti-8364	264	5	.	.	PUNCT
aiti-8364	265	1	this	this	DET
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aiti-8364	265	4	an	an	DET
aiti-8364	265	5	open	open	ADJ
aiti-8364	265	6	access	access	NOUN
aiti-8364	265	7	article	article	NOUN
aiti-8364	265	8	distributed	distribute	VERB
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aiti-8364	265	12	and	and	CCONJ
aiti-8364	265	13	conditions	condition	NOUN
aiti-8364	265	14	of	of	ADP
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aiti-8364	265	16	creative	creative	ADJ
aiti-8364	265	17	commons	common	NOUN
aiti-8364	265	18	attribution	attribution	NOUN
aiti-8364	265	19	(	(	PUNCT
aiti-8364	265	20	cc	cc	NOUN
aiti-8364	265	21	by	by	ADP
aiti-8364	265	22	-	-	PUNCT
aiti-8364	265	23	nc	nc	NOUN
aiti-8364	265	24	)	)	PUNCT
aiti-8364	265	25	license	license	NOUN
aiti-8364	265	26	(	(	PUNCT
aiti-8364	265	27	https://creativecommons.org/licenses/by-nc/4.0/	https://creativecommons.org/licenses/by-nc/4.0/	NOUN
aiti-8364	265	28	)	)	PUNCT
aiti-8364	265	29	.	.	PUNCT