id	sid	tid	token	lemma	pos
esrj-104741	1	1	issn	issn	PROPN
esrj-104741	1	2	1794	1794	NUM
esrj-104741	1	3	-	-	SYM
esrj-104741	1	4	6190	6190	NUM
esrj-104741	1	5	e	e	NOUN
esrj-104741	1	6	-	-	NOUN
esrj-104741	1	7	issn	issn	PROPN
esrj-104741	1	8	2339	2339	NUM
esrj-104741	1	9	-	-	SYM
esrj-104741	1	10	3459	3459	NUM
esrj-104741	1	11	https://doi.org/10.15446/esrj.v27n1.105689	https://doi.org/10.15446/esrj.v27n1.105689	NOUN
esrj-104741	1	12	earth	earth	NOUN
esrj-104741	1	13	sciences	sciences	PROPN
esrj-104741	1	14	research	research	PROPN
esrj-104741	1	15	journal	journal	PROPN
esrj-104741	1	16	earth	earth	PROPN
esrj-104741	1	17	sci	sci	PROPN
esrj-104741	1	18	.	.	PUNCT
esrj-104741	2	1	res	res	PROPN
esrj-104741	2	2	.	.	PUNCT
esrj-104741	3	1	j.	j.	PROPN
esrj-104741	3	2	vol	vol	PROPN
esrj-104741	3	3	.	.	PROPN
esrj-104741	4	1	27	27	NUM
esrj-104741	4	2	,	,	PUNCT
esrj-104741	4	3	no	no	INTJ
esrj-104741	4	4	.	.	NOUN
esrj-104741	4	5	1	1	NUM
esrj-104741	4	6	(	(	PUNCT
esrj-104741	4	7	march	march	NOUN
esrj-104741	4	8	,	,	PUNCT
esrj-104741	4	9	2023	2023	NUM
esrj-104741	4	10	):	):	PUNCT
esrj-104741	4	11	69	69	NUM
esrj-104741	4	12	75	75	NUM
esrj-104741	4	13	pe	pe	INTJ
esrj-104741	4	14	tr	tr	VERB
esrj-104741	4	15	o	o	PROPN
esrj-104741	4	16	le	le	X
esrj-104741	4	17	u	u	NOUN
esrj-104741	4	18	m	m	PROPN
esrj-104741	4	19	e	e	NOUN
esrj-104741	4	20	n	n	PRON
esrj-104741	4	21	g	g	NOUN
esrj-104741	4	22	in	in	ADP
esrj-104741	4	23	ee	ee	ADP
esrj-104741	4	24	r	r	NOUN
esrj-104741	4	25	in	in	ADP
esrj-104741	4	26	g	g	PROPN
esrj-104741	4	27	palabras	palabras	PROPN
esrj-104741	4	28	clave	clave	NOUN
esrj-104741	4	29	:	:	PUNCT
esrj-104741	4	30	información	información	PROPN
esrj-104741	4	31	de	de	PROPN
esrj-104741	4	32	registro	registro	PROPN
esrj-104741	4	33	de	de	X
esrj-104741	4	34	pozo	pozo	PROPN
esrj-104741	4	35	;	;	PUNCT
esrj-104741	5	1	método	método	NOUN
esrj-104741	5	2	bosques	bosque	VERB
esrj-104741	5	3	aleatorios	aleatorio	NOUN
esrj-104741	5	4	;	;	PUNCT
esrj-104741	5	5	método	método	NOUN
esrj-104741	5	6	smote	smote	ADJ
esrj-104741	5	7	;	;	PUNCT
esrj-104741	5	8	identificación	identificación	PROPN
esrj-104741	5	9	de	de	X
esrj-104741	5	10	las	las	X
esrj-104741	5	11	capas	capas	X
esrj-104741	5	12	de	de	X
esrj-104741	5	13	petróleo	petróleo	X
esrj-104741	5	14	y	y	PROPN
esrj-104741	5	15	de	de	PROPN
esrj-104741	5	16	agua	agua	PROPN
esrj-104741	5	17	.	.	PUNCT
esrj-104741	6	1	application	application	NOUN
esrj-104741	6	2	of	of	ADP
esrj-104741	6	3	random	random	ADJ
esrj-104741	6	4	forest	forest	NOUN
esrj-104741	6	5	method	method	NOUN
esrj-104741	6	6	in	in	ADP
esrj-104741	6	7	oil	oil	NOUN
esrj-104741	6	8	and	and	CCONJ
esrj-104741	6	9	water	water	NOUN
esrj-104741	6	10	layer	layer	NOUN
esrj-104741	6	11	identification	identification	NOUN
esrj-104741	6	12	of	of	ADP
esrj-104741	6	13	logging	log	VERB
esrj-104741	6	14	data	datum	NOUN
esrj-104741	6	15	:	:	PUNCT
esrj-104741	6	16	a	a	DET
esrj-104741	6	17	case	case	NOUN
esrj-104741	6	18	study	study	NOUN
esrj-104741	6	19	of	of	ADP
esrj-104741	6	20	the	the	DET
esrj-104741	6	21	liaohe	liaohe	NOUN
esrj-104741	6	22	depression	depression	NOUN
esrj-104741	6	23	chunlei	chunlei	VERB
esrj-104741	6	24	dai1,2	dai1,2	PROPN
esrj-104741	6	25	*	*	PROPN
esrj-104741	6	26	,	,	PUNCT
esrj-104741	6	27	shangming	shangme	VERB
esrj-104741	6	28	shi1	shi1	NOUN
esrj-104741	6	29	,	,	PUNCT
esrj-104741	6	30	chao	chao	PROPN
esrj-104741	6	31	song1	song1	PROPN
esrj-104741	6	32	1	1	X
esrj-104741	6	33	.	.	PUNCT
esrj-104741	7	1	school	school	NOUN
esrj-104741	7	2	of	of	ADP
esrj-104741	7	3	earth	earth	NOUN
esrj-104741	7	4	science	science	NOUN
esrj-104741	7	5	,	,	PUNCT
esrj-104741	7	6	northeast	northeast	ADJ
esrj-104741	7	7	petroleum	petroleum	NOUN
esrj-104741	7	8	university	university	NOUN
esrj-104741	7	9	,	,	PUNCT
esrj-104741	7	10	daqing	daqe	VERB
esrj-104741	7	11	163318	163318	NUM
esrj-104741	7	12	,	,	PUNCT
esrj-104741	7	13	china	china	PROPN
esrj-104741	7	14	2	2	NUM
esrj-104741	7	15	.	.	PUNCT
esrj-104741	7	16	key	key	ADJ
esrj-104741	7	17	laboratory	laboratory	NOUN
esrj-104741	7	18	of	of	ADP
esrj-104741	7	19	oil	oil	NOUN
esrj-104741	7	20	and	and	CCONJ
esrj-104741	7	21	gas	gas	NOUN
esrj-104741	7	22	reservoir	reservoir	NOUN
esrj-104741	7	23	formation	formation	NOUN
esrj-104741	7	24	mechanism	mechanism	NOUN
esrj-104741	7	25	,	,	PUNCT
esrj-104741	7	26	and	and	CCONJ
esrj-104741	7	27	resource	resource	NOUN
esrj-104741	7	28	evaluation	evaluation	NOUN
esrj-104741	7	29	in	in	ADP
esrj-104741	7	30	heilongjiang	heilongjiang	PROPN
esrj-104741	7	31	province	province	NOUN
esrj-104741	7	32	,	,	PUNCT
esrj-104741	7	33	daqing	daqe	VERB
esrj-104741	7	34	163318	163318	NUM
esrj-104741	7	35	,	,	PUNCT
esrj-104741	7	36	china	china	PROPN
esrj-104741	7	37	*	*	PUNCT
esrj-104741	7	38	corresponding	correspond	VERB
esrj-104741	7	39	author	author	NOUN
esrj-104741	7	40	:	:	PUNCT
esrj-104741	7	41	dcl@nepu.edu.cn	dcl@nepu.edu.cn	PROPN
esrj-104741	7	42	aplicación	aplicación	PROPN
esrj-104741	7	43	del	del	PROPN
esrj-104741	7	44	método	método	PROPN
esrj-104741	7	45	de	de	X
esrj-104741	7	46	bosques	bosques	X
esrj-104741	7	47	aleatorios	aleatorio	NOUN
esrj-104741	7	48	en	en	X
esrj-104741	7	49	la	la	PROPN
esrj-104741	7	50	identificación	identificación	PROPN
esrj-104741	7	51	de	de	X
esrj-104741	7	52	las	las	X
esrj-104741	7	53	capas	capas	X
esrj-104741	7	54	de	de	X
esrj-104741	7	55	petróleo	petróleo	PROPN
esrj-104741	7	56	y	y	PROPN
esrj-104741	7	57	de	de	PROPN
esrj-104741	7	58	agua	agua	PROPN
esrj-104741	7	59	durante	durante	PROPN
esrj-104741	7	60	el	el	PROPN
esrj-104741	7	61	registro	registro	PROPN
esrj-104741	7	62	de	de	PROPN
esrj-104741	7	63	pozo	pozo	PROPN
esrj-104741	7	64	:	:	PUNCT
esrj-104741	7	65	caso	caso	PROPN
esrj-104741	7	66	de	de	X
esrj-104741	7	67	estudio	estudio	PROPN
esrj-104741	7	68	en	en	X
esrj-104741	7	69	la	la	PROPN
esrj-104741	7	70	depresión	depresión	PROPN
esrj-104741	7	71	liaohe	liaohe	VERB
esrj-104741	7	72	how	how	SCONJ
esrj-104741	7	73	to	to	PART
esrj-104741	7	74	cite	cite	VERB
esrj-104741	7	75	item	item	NOUN
esrj-104741	7	76	:	:	PUNCT
esrj-104741	7	77	dai	dai	PROPN
esrj-104741	7	78	,	,	PUNCT
esrj-104741	7	79	c.	c.	PROPN
esrj-104741	7	80	,	,	PUNCT
esrj-104741	7	81	shi	shi	PROPN
esrj-104741	7	82	,	,	PUNCT
esrj-104741	7	83	s.	s.	PROPN
esrj-104741	7	84	,	,	PUNCT
esrj-104741	7	85	&	&	CCONJ
esrj-104741	7	86	song	song	PROPN
esrj-104741	7	87	,	,	PUNCT
esrj-104741	7	88	c.	c.	PROPN
esrj-104741	7	89	(	(	PUNCT
esrj-104741	7	90	2023	2023	NUM
esrj-104741	7	91	)	)	PUNCT
esrj-104741	7	92	.	.	PUNCT
esrj-104741	8	1	application	application	NOUN
esrj-104741	8	2	of	of	ADP
esrj-104741	8	3	random	random	ADJ
esrj-104741	8	4	forest	forest	NOUN
esrj-104741	8	5	method	method	NOUN
esrj-104741	8	6	in	in	ADP
esrj-104741	8	7	oil	oil	NOUN
esrj-104741	8	8	and	and	CCONJ
esrj-104741	8	9	water	water	NOUN
esrj-104741	8	10	layer	layer	NOUN
esrj-104741	8	11	identification	identification	NOUN
esrj-104741	8	12	of	of	ADP
esrj-104741	8	13	logging	log	VERB
esrj-104741	8	14	data	datum	NOUN
esrj-104741	8	15	:	:	PUNCT
esrj-104741	8	16	a	a	DET
esrj-104741	8	17	case	case	NOUN
esrj-104741	8	18	study	study	NOUN
esrj-104741	8	19	of	of	ADP
esrj-104741	8	20	the	the	DET
esrj-104741	8	21	liaohe	liaohe	NOUN
esrj-104741	8	22	depression	depression	NOUN
esrj-104741	8	23	.	.	PUNCT
esrj-104741	9	1	earth	earth	PROPN
esrj-104741	9	2	sciences	sciences	PROPN
esrj-104741	9	3	research	research	PROPN
esrj-104741	9	4	journal	journal	NOUN
esrj-104741	9	5	,	,	PUNCT
esrj-104741	9	6	27(1	27(1	NUM
esrj-104741	9	7	)	)	PUNCT
esrj-104741	9	8	,	,	PUNCT
esrj-104741	9	9	69	69	NUM
esrj-104741	9	10	-	-	SYM
esrj-104741	9	11	75	75	NUM
esrj-104741	9	12	.	.	PUNCT
esrj-104741	10	1	https://doi.org/10.15446/	https://doi.org/10.15446/	ADJ
esrj-104741	10	2	esrj.v27n1.105689	esrj.v27n1.105689	ADJ
esrj-104741	10	3	record	record	NOUN
esrj-104741	10	4	manuscript	manuscript	NOUN
esrj-104741	10	5	received	receive	VERB
esrj-104741	10	6	:	:	PUNCT
esrj-104741	10	7	12/09/2022	12/09/2022	NUM
esrj-104741	10	8	accepted	accept	VERB
esrj-104741	10	9	for	for	ADP
esrj-104741	10	10	publication	publication	NOUN
esrj-104741	10	11	:	:	PUNCT
esrj-104741	10	12	06/03/2023	06/03/2023	NUM
esrj-104741	10	13	keywords	keyword	NOUN
esrj-104741	10	14	:	:	PUNCT
esrj-104741	10	15	logging	log	VERB
esrj-104741	10	16	data	datum	NOUN
esrj-104741	10	17	;	;	PUNCT
esrj-104741	10	18	random	random	ADJ
esrj-104741	10	19	forest	forest	NOUN
esrj-104741	10	20	;	;	PUNCT
esrj-104741	10	21	smote	smote	VERB
esrj-104741	10	22	;	;	PUNCT
esrj-104741	10	23	oil	oil	NOUN
esrj-104741	10	24	and	and	CCONJ
esrj-104741	10	25	water	water	NOUN
esrj-104741	10	26	layer	layer	NOUN
esrj-104741	10	27	identification	identification	NOUN
esrj-104741	10	28	abstract	abstract	ADJ
esrj-104741	10	29	accurate	accurate	ADJ
esrj-104741	10	30	identification	identification	NOUN
esrj-104741	10	31	of	of	ADP
esrj-104741	10	32	oil	oil	NOUN
esrj-104741	10	33	and	and	CCONJ
esrj-104741	10	34	water	water	NOUN
esrj-104741	10	35	layers	layer	NOUN
esrj-104741	10	36	is	be	AUX
esrj-104741	10	37	the	the	DET
esrj-104741	10	38	basis	basis	NOUN
esrj-104741	10	39	of	of	ADP
esrj-104741	10	40	qualitative	qualitative	ADJ
esrj-104741	10	41	evaluation	evaluation	NOUN
esrj-104741	10	42	of	of	ADP
esrj-104741	10	43	reservoir	reservoir	NOUN
esrj-104741	10	44	fluid	fluid	NOUN
esrj-104741	10	45	properties	property	NOUN
esrj-104741	10	46	or	or	CCONJ
esrj-104741	10	47	industrial	industrial	ADJ
esrj-104741	10	48	value	value	NOUN
esrj-104741	10	49	and	and	CCONJ
esrj-104741	10	50	selection	selection	NOUN
esrj-104741	10	51	of	of	ADP
esrj-104741	10	52	testing	testing	NOUN
esrj-104741	10	53	layers	layer	NOUN
esrj-104741	10	54	of	of	ADP
esrj-104741	10	55	the	the	DET
esrj-104741	10	56	well	well	NOUN
esrj-104741	10	57	.	.	PUNCT
esrj-104741	11	1	the	the	DET
esrj-104741	11	2	traditional	traditional	ADJ
esrj-104741	11	3	oil	oil	NOUN
esrj-104741	11	4	and	and	CCONJ
esrj-104741	11	5	water	water	NOUN
esrj-104741	11	6	layer	layer	NOUN
esrj-104741	11	7	identification	identification	NOUN
esrj-104741	11	8	is	be	AUX
esrj-104741	11	9	mainly	mainly	ADV
esrj-104741	11	10	based	base	VERB
esrj-104741	11	11	on	on	ADP
esrj-104741	11	12	the	the	DET
esrj-104741	11	13	extensive	extensive	ADJ
esrj-104741	11	14	use	use	NOUN
esrj-104741	11	15	of	of	ADP
esrj-104741	11	16	the	the	DET
esrj-104741	11	17	well	well	NOUN
esrj-104741	11	18	’s	’s	AUX
esrj-104741	11	19	logging	log	VERB
esrj-104741	11	20	and	and	CCONJ
esrj-104741	11	21	logging	log	VERB
esrj-104741	11	22	data	datum	NOUN
esrj-104741	11	23	,	,	PUNCT
esrj-104741	11	24	which	which	PRON
esrj-104741	11	25	is	be	AUX
esrj-104741	11	26	inefficient	inefficient	ADJ
esrj-104741	11	27	and	and	CCONJ
esrj-104741	11	28	easy	easy	ADJ
esrj-104741	11	29	to	to	PART
esrj-104741	11	30	leak	leak	VERB
esrj-104741	11	31	interpretation	interpretation	NOUN
esrj-104741	11	32	or	or	CCONJ
esrj-104741	11	33	misinterpretation	misinterpretation	NOUN
esrj-104741	11	34	for	for	ADP
esrj-104741	11	35	those	those	DET
esrj-104741	11	36	reservoirs	reservoir	NOUN
esrj-104741	11	37	with	with	ADP
esrj-104741	11	38	complex	complex	ADJ
esrj-104741	11	39	geological	geological	ADJ
esrj-104741	11	40	conditions	condition	NOUN
esrj-104741	11	41	.	.	PUNCT
esrj-104741	12	1	in	in	ADP
esrj-104741	12	2	this	this	DET
esrj-104741	12	3	paper	paper	NOUN
esrj-104741	12	4	,	,	PUNCT
esrj-104741	12	5	the	the	DET
esrj-104741	12	6	random	random	ADJ
esrj-104741	12	7	forest	forest	NOUN
esrj-104741	12	8	method	method	NOUN
esrj-104741	12	9	of	of	ADP
esrj-104741	12	10	machine	machine	NOUN
esrj-104741	12	11	learning	learning	NOUN
esrj-104741	12	12	is	be	AUX
esrj-104741	12	13	used	use	VERB
esrj-104741	12	14	to	to	PART
esrj-104741	12	15	select	select	VERB
esrj-104741	12	16	the	the	DET
esrj-104741	12	17	lithology	lithology	NOUN
esrj-104741	12	18	,	,	PUNCT
esrj-104741	12	19	porosity	porosity	NOUN
esrj-104741	12	20	,	,	PUNCT
esrj-104741	12	21	permeability	permeability	NOUN
esrj-104741	12	22	,	,	PUNCT
esrj-104741	12	23	movable	movable	ADJ
esrj-104741	12	24	fluid	fluid	NOUN
esrj-104741	12	25	,	,	PUNCT
esrj-104741	12	26	oil	oil	NOUN
esrj-104741	12	27	saturation	saturation	NOUN
esrj-104741	12	28	,	,	PUNCT
esrj-104741	12	29	s0	s0	PROPN
esrj-104741	12	30	,	,	PUNCT
esrj-104741	12	31	s1	s1	NOUN
esrj-104741	12	32	,	,	PUNCT
esrj-104741	12	33	s2	s2	NOUN
esrj-104741	12	34	,	,	PUNCT
esrj-104741	12	35	tmax	tmax	NOUN
esrj-104741	12	36	of	of	ADP
esrj-104741	12	37	rock	rock	NOUN
esrj-104741	12	38	as	as	ADP
esrj-104741	12	39	characteristics	characteristic	NOUN
esrj-104741	12	40	;	;	PUNCT
esrj-104741	12	41	smote	smote	ADJ
esrj-104741	12	42	oversampling	oversampling	NOUN
esrj-104741	12	43	is	be	AUX
esrj-104741	12	44	used	use	VERB
esrj-104741	12	45	to	to	PART
esrj-104741	12	46	expand	expand	VERB
esrj-104741	12	47	the	the	DET
esrj-104741	12	48	sample	sample	NOUN
esrj-104741	12	49	,	,	PUNCT
esrj-104741	12	50	and	and	CCONJ
esrj-104741	12	51	the	the	DET
esrj-104741	12	52	packet	packet	NOUN
esrj-104741	12	53	estimation	estimation	NOUN
esrj-104741	12	54	is	be	AUX
esrj-104741	12	55	used	use	VERB
esrj-104741	12	56	to	to	PART
esrj-104741	12	57	establish	establish	VERB
esrj-104741	12	58	the	the	DET
esrj-104741	12	59	oil	oil	NOUN
esrj-104741	12	60	and	and	CCONJ
esrj-104741	12	61	water	water	NOUN
esrj-104741	12	62	layer	layer	NOUN
esrj-104741	12	63	identification	identification	NOUN
esrj-104741	12	64	model	model	NOUN
esrj-104741	12	65	.	.	PUNCT
esrj-104741	13	1	this	this	DET
esrj-104741	13	2	method	method	NOUN
esrj-104741	13	3	is	be	AUX
esrj-104741	13	4	simple	simple	ADJ
esrj-104741	13	5	and	and	CCONJ
esrj-104741	13	6	easy	easy	ADJ
esrj-104741	13	7	to	to	PART
esrj-104741	13	8	use	use	VERB
esrj-104741	13	9	,	,	PUNCT
esrj-104741	13	10	not	not	PART
esrj-104741	13	11	prone	prone	ADJ
esrj-104741	13	12	to	to	ADP
esrj-104741	13	13	severe	severe	ADJ
esrj-104741	13	14	overfitting	overfitting	NOUN
esrj-104741	13	15	,	,	PUNCT
esrj-104741	13	16	and	and	CCONJ
esrj-104741	13	17	can	can	AUX
esrj-104741	13	18	find	find	VERB
esrj-104741	13	19	the	the	DET
esrj-104741	13	20	potential	potential	ADJ
esrj-104741	13	21	rules	rule	NOUN
esrj-104741	13	22	in	in	ADP
esrj-104741	13	23	the	the	DET
esrj-104741	13	24	data	datum	NOUN
esrj-104741	13	25	.	.	PUNCT
esrj-104741	14	1	the	the	DET
esrj-104741	14	2	classification	classification	NOUN
esrj-104741	14	3	performance	performance	NOUN
esrj-104741	14	4	is	be	AUX
esrj-104741	14	5	excellent	excellent	ADJ
esrj-104741	14	6	,	,	PUNCT
esrj-104741	14	7	and	and	CCONJ
esrj-104741	14	8	the	the	DET
esrj-104741	14	9	accuracy	accuracy	NOUN
esrj-104741	14	10	rate	rate	NOUN
esrj-104741	14	11	can	can	AUX
esrj-104741	14	12	reach	reach	VERB
esrj-104741	14	13	more	more	ADJ
esrj-104741	14	14	than	than	ADP
esrj-104741	14	15	89.9	89.9	NUM
esrj-104741	14	16	%	%	NOUN
esrj-104741	14	17	,	,	PUNCT
esrj-104741	14	18	which	which	PRON
esrj-104741	14	19	solves	solve	VERB
esrj-104741	14	20	the	the	DET
esrj-104741	14	21	problem	problem	NOUN
esrj-104741	14	22	of	of	ADP
esrj-104741	14	23	low	low	ADJ
esrj-104741	14	24	accuracy	accuracy	NOUN
esrj-104741	14	25	in	in	ADP
esrj-104741	14	26	oil	oil	NOUN
esrj-104741	14	27	-	-	PUNCT
esrj-104741	14	28	water	water	NOUN
esrj-104741	14	29	layer	layer	NOUN
esrj-104741	14	30	identification	identification	NOUN
esrj-104741	14	31	in	in	ADP
esrj-104741	14	32	the	the	DET
esrj-104741	14	33	past	past	NOUN
esrj-104741	14	34	.	.	PUNCT
esrj-104741	15	1	resumen	resuman	NOUN
esrj-104741	15	2	la	la	PRON
esrj-104741	15	3	identificación	identificación	PROPN
esrj-104741	15	4	precisa	precisa	X
esrj-104741	15	5	de	de	X
esrj-104741	15	6	las	las	X
esrj-104741	15	7	capas	capas	X
esrj-104741	15	8	de	de	X
esrj-104741	15	9	agua	agua	PROPN
esrj-104741	15	10	y	y	PROPN
esrj-104741	15	11	petróleo	petróleo	PROPN
esrj-104741	15	12	es	es	PROPN
esrj-104741	15	13	la	la	PROPN
esrj-104741	15	14	base	base	PROPN
esrj-104741	15	15	de	de	X
esrj-104741	15	16	la	la	X
esrj-104741	15	17	evaluación	evaluación	PROPN
esrj-104741	15	18	cualitativa	cualitativa	PROPN
esrj-104741	15	19	de	de	PROPN
esrj-104741	15	20	las	las	PROPN
esrj-104741	15	21	propiedades	propiedades	PROPN
esrj-104741	15	22	de	de	PROPN
esrj-104741	15	23	fluido	fluido	X
esrj-104741	15	24	del	del	PROPN
esrj-104741	15	25	yacimiento	yacimiento	PROPN
esrj-104741	15	26	o	o	PROPN
esrj-104741	15	27	de	de	X
esrj-104741	15	28	valor	valor	PROPN
esrj-104741	15	29	industrial	industrial	NOUN
esrj-104741	15	30	,	,	PUNCT
esrj-104741	15	31	y	y	PROPN
esrj-104741	15	32	de	de	PROPN
esrj-104741	15	33	la	la	PROPN
esrj-104741	15	34	selección	selección	PROPN
esrj-104741	15	35	de	de	PROPN
esrj-104741	15	36	las	las	X
esrj-104741	15	37	capas	capas	X
esrj-104741	15	38	de	de	X
esrj-104741	15	39	ensayo	ensayo	PROPN
esrj-104741	15	40	del	del	PROPN
esrj-104741	15	41	pozo	pozo	PROPN
esrj-104741	15	42	.	.	PUNCT
esrj-104741	16	1	la	la	PROPN
esrj-104741	16	2	identificación	identificación	PROPN
esrj-104741	16	3	tradicional	tradicional	PROPN
esrj-104741	16	4	de	de	X
esrj-104741	16	5	las	las	X
esrj-104741	16	6	capas	capas	X
esrj-104741	16	7	de	de	X
esrj-104741	16	8	petróleo	petróleo	PROPN
esrj-104741	16	9	y	y	PROPN
esrj-104741	16	10	agua	agua	PROPN
esrj-104741	16	11	se	se	PROPN
esrj-104741	16	12	basa	basa	PROPN
esrj-104741	16	13	principalmente	principalmente	PROPN
esrj-104741	16	14	en	en	PROPN
esrj-104741	16	15	el	el	PROPN
esrj-104741	16	16	uso	uso	PROPN
esrj-104741	16	17	extensivo	extensivo	PROPN
esrj-104741	16	18	de	de	PROPN
esrj-104741	16	19	la	la	PROPN
esrj-104741	16	20	información	información	PROPN
esrj-104741	16	21	ofrecida	ofrecida	PROPN
esrj-104741	16	22	por	por	PROPN
esrj-104741	16	23	la	la	PROPN
esrj-104741	16	24	adquisición	adquisición	PROPN
esrj-104741	16	25	de	de	PROPN
esrj-104741	16	26	registros	registros	PROPN
esrj-104741	16	27	del	del	PROPN
esrj-104741	16	28	pozo	pozo	PROPN
esrj-104741	16	29	,	,	PUNCT
esrj-104741	16	30	la	la	PROPN
esrj-104741	16	31	cual	cual	PROPN
esrj-104741	16	32	es	es	PROPN
esrj-104741	16	33	ineficiente	ineficiente	PROPN
esrj-104741	16	34	y	y	PROPN
esrj-104741	16	35	fácil	fácil	PROPN
esrj-104741	16	36	de	de	PROPN
esrj-104741	16	37	perder	perder	PROPN
esrj-104741	16	38	información	información	PROPN
esrj-104741	16	39	o	o	X
esrj-104741	16	40	de	de	X
esrj-104741	16	41	incurrir	incurrir	X
esrj-104741	16	42	en	en	ADP
esrj-104741	16	43	malinterpretación	malinterpretación	PROPN
esrj-104741	16	44	en	en	PROPN
esrj-104741	16	45	aquellos	aquellos	PROPN
esrj-104741	16	46	yacimientos	yacimiento	NOUN
esrj-104741	16	47	con	con	PROPN
esrj-104741	16	48	condiciones	condiciones	PROPN
esrj-104741	16	49	geológicas	geológicas	PROPN
esrj-104741	16	50	complejas	complejas	PROPN
esrj-104741	16	51	.	.	PUNCT
esrj-104741	17	1	en	en	PROPN
esrj-104741	17	2	este	este	PROPN
esrj-104741	17	3	artículo	artículo	PROPN
esrj-104741	17	4	se	se	PROPN
esrj-104741	17	5	utilizó	utilizó	PROPN
esrj-104741	17	6	el	el	PROPN
esrj-104741	17	7	método	método	PROPN
esrj-104741	17	8	de	de	PROPN
esrj-104741	17	9	"	"	PUNCT
esrj-104741	17	10	bosques	bosque	VERB
esrj-104741	17	11	aleatorios	aleatorio	NOUN
esrj-104741	17	12	(	(	PUNCT
esrj-104741	17	13	del	del	X
esrj-104741	17	14	inglés	inglés	X
esrj-104741	17	15	random	random	ADJ
esrj-104741	17	16	forest	forest	NOUN
esrj-104741	17	17	method	method	NOUN
esrj-104741	17	18	)	)	PUNCT
esrj-104741	17	19	"	"	PUNCT
esrj-104741	17	20	para	para	PROPN
esrj-104741	17	21	seleccionar	seleccionar	PROPN
esrj-104741	17	22	la	la	PROPN
esrj-104741	17	23	litología	litología	PROPN
esrj-104741	17	24	,	,	PUNCT
esrj-104741	17	25	porosidad	porosidad	PROPN
esrj-104741	17	26	,	,	PUNCT
esrj-104741	17	27	permeabilidad	permeabilidad	ADJ
esrj-104741	17	28	,	,	PUNCT
esrj-104741	17	29	fluidos	fluido	NOUN
esrj-104741	17	30	móviles	móvile	NOUN
esrj-104741	17	31	,	,	PUNCT
esrj-104741	17	32	saturación	saturación	PROPN
esrj-104741	17	33	de	de	PROPN
esrj-104741	17	34	petróleo	petróleo	PROPN
esrj-104741	17	35	,	,	PUNCT
esrj-104741	17	36	y	y	PROPN
esrj-104741	17	37	las	las	PROPN
esrj-104741	17	38	características	características	X
esrj-104741	17	39	de	de	PROPN
esrj-104741	17	40	la	la	PROPN
esrj-104741	17	41	rocas	rocas	PROPN
esrj-104741	17	42	s0	s0	PROPN
esrj-104741	17	43	,	,	PUNCT
esrj-104741	17	44	s1	s1	NOUN
esrj-104741	17	45	,	,	PUNCT
esrj-104741	17	46	s2	s2	NOUN
esrj-104741	17	47	y	y	PROPN
esrj-104741	17	48	tmax	tmax	PROPN
esrj-104741	17	49	.	.	PUNCT
esrj-104741	18	1	el	el	PROPN
esrj-104741	18	2	sobremuestreo	sobremuestreo	PROPN
esrj-104741	18	3	con	con	PROPN
esrj-104741	18	4	el	el	PROPN
esrj-104741	18	5	método	método	PROPN
esrj-104741	18	6	smote	smote	PROPN
esrj-104741	18	7	se	se	PROPN
esrj-104741	18	8	usó	usó	PROPN
esrj-104741	18	9	para	para	PROPN
esrj-104741	18	10	ampliar	ampliar	PROPN
esrj-104741	18	11	la	la	X
esrj-104741	18	12	muestra	muestra	PROPN
esrj-104741	18	13	,	,	PUNCT
esrj-104741	18	14	y	y	PROPN
esrj-104741	18	15	el	el	PROPN
esrj-104741	18	16	paquete	paquete	PROPN
esrj-104741	18	17	de	de	X
esrj-104741	18	18	estimación	estimación	PROPN
esrj-104741	18	19	se	se	PROPN
esrj-104741	18	20	uilizó	uilizó	PROPN
esrj-104741	18	21	para	para	PROPN
esrj-104741	18	22	establecer	establecer	PROPN
esrj-104741	18	23	el	el	PROPN
esrj-104741	18	24	modelo	modelo	PROPN
esrj-104741	18	25	de	de	PROPN
esrj-104741	18	26	identificación	identificación	PROPN
esrj-104741	18	27	de	de	X
esrj-104741	18	28	las	las	X
esrj-104741	18	29	capas	capas	X
esrj-104741	18	30	de	de	X
esrj-104741	18	31	agua	agua	PROPN
esrj-104741	18	32	y	y	PROPN
esrj-104741	18	33	petróleo	petróleo	PROPN
esrj-104741	18	34	.	.	PUNCT
esrj-104741	18	35	este	este	PROPN
esrj-104741	18	36	método	método	X
esrj-104741	18	37	es	es	X
esrj-104741	18	38	simple	simple	ADJ
esrj-104741	18	39	y	y	PROPN
esrj-104741	18	40	fácil	fácil	PROPN
esrj-104741	18	41	de	de	X
esrj-104741	18	42	usar	usar	PROPN
esrj-104741	18	43	,	,	PUNCT
esrj-104741	18	44	además	además	PROPN
esrj-104741	18	45	de	de	PROPN
esrj-104741	18	46	no	no	PROPN
esrj-104741	18	47	ser	ser	NOUN
esrj-104741	18	48	propenso	propenso	PROPN
esrj-104741	18	49	a	a	DET
esrj-104741	18	50	un	un	PROPN
esrj-104741	18	51	sobreajuste	sobreajuste	PROPN
esrj-104741	18	52	severo	severo	PROPN
esrj-104741	18	53	,	,	PUNCT
esrj-104741	18	54	y	y	PROPN
esrj-104741	18	55	puede	puede	NOUN
esrj-104741	18	56	encontrar	encontrar	PROPN
esrj-104741	18	57	en	en	X
esrj-104741	18	58	la	la	PROPN
esrj-104741	18	59	información	información	PROPN
esrj-104741	18	60	las	las	PROPN
esrj-104741	18	61	normas	normas	PROPN
esrj-104741	18	62	potenciales	potenciales	PROPN
esrj-104741	18	63	que	que	PROPN
esrj-104741	18	64	lo	lo	PROPN
esrj-104741	18	65	rigen	rigen	NOUN
esrj-104741	18	66	.	.	PUNCT
esrj-104741	19	1	la	la	PROPN
esrj-104741	19	2	clasificación	clasificación	PROPN
esrj-104741	19	3	del	del	PROPN
esrj-104741	19	4	desempeño	desempeño	PROPN
esrj-104741	19	5	es	es	X
esrj-104741	19	6	excelente	excelente	PROPN
esrj-104741	19	7	,	,	PUNCT
esrj-104741	19	8	y	y	PROPN
esrj-104741	19	9	el	el	PROPN
esrj-104741	19	10	índice	índice	PROPN
esrj-104741	19	11	de	de	X
esrj-104741	19	12	exactitud	exactitud	PROPN
esrj-104741	19	13	puede	puede	NOUN
esrj-104741	19	14	alcanzar	alcanzar	X
esrj-104741	19	15	más	más	PROPN
esrj-104741	19	16	del	del	PROPN
esrj-104741	19	17	89.9	89.9	NUM
esrj-104741	19	18	%	%	NOUN
esrj-104741	19	19	,	,	PUNCT
esrj-104741	19	20	lo	lo	PROPN
esrj-104741	19	21	que	que	PROPN
esrj-104741	19	22	resuelve	resuelve	PROPN
esrj-104741	19	23	el	el	PROPN
esrj-104741	19	24	problema	problema	PROPN
esrj-104741	19	25	de	de	PROPN
esrj-104741	19	26	la	la	PROPN
esrj-104741	19	27	baja	baja	PROPN
esrj-104741	19	28	exactitud	exactitud	PROPN
esrj-104741	19	29	que	que	PROPN
esrj-104741	19	30	se	se	X
esrj-104741	19	31	presenta	presenta	PROPN
esrj-104741	19	32	en	en	X
esrj-104741	19	33	la	la	PROPN
esrj-104741	19	34	identificación	identificación	PROPN
esrj-104741	19	35	de	de	X
esrj-104741	19	36	las	las	X
esrj-104741	19	37	capas	capas	X
esrj-104741	19	38	de	de	X
esrj-104741	19	39	petróleo	petróleo	X
esrj-104741	19	40	y	y	PROPN
esrj-104741	19	41	de	de	X
esrj-104741	19	42	agua	agua	PROPN
esrj-104741	19	43	.	.	PUNCT
esrj-104741	20	1	mailto:dcl@nepu.edu.cn	mailto:dcl@nepu.edu.cn	NOUN
esrj-104741	20	2	https://doi.org/10.15446/esrj.v27n1.105689	https://doi.org/10.15446/esrj.v27n1.105689	X
esrj-104741	20	3	https://doi.org/10.15446/esrj.v27n1.105689	https://doi.org/10.15446/esrj.v27n1.105689	X
esrj-104741	20	4	70	70	NUM
esrj-104741	20	5	chunlei	chunlei	NOUN
esrj-104741	20	6	dai	dai	PROPN
esrj-104741	20	7	,	,	PUNCT
esrj-104741	20	8	shangming	shangme	VERB
esrj-104741	20	9	shi	shi	PROPN
esrj-104741	20	10	,	,	PUNCT
esrj-104741	20	11	chao	chao	PROPN
esrj-104741	20	12	song	song	PROPN
esrj-104741	20	13	1	1	NUM
esrj-104741	20	14	.	.	PUNCT
esrj-104741	20	15	introduction	introduction	NOUN
esrj-104741	20	16	accurate	accurate	ADJ
esrj-104741	20	17	identification	identification	NOUN
esrj-104741	20	18	of	of	ADP
esrj-104741	20	19	oil	oil	NOUN
esrj-104741	20	20	and	and	CCONJ
esrj-104741	20	21	water	water	NOUN
esrj-104741	20	22	layers	layer	NOUN
esrj-104741	20	23	is	be	AUX
esrj-104741	20	24	the	the	DET
esrj-104741	20	25	basis	basis	NOUN
esrj-104741	20	26	for	for	ADP
esrj-104741	20	27	the	the	DET
esrj-104741	20	28	qualitative	qualitative	ADJ
esrj-104741	20	29	evaluation	evaluation	NOUN
esrj-104741	20	30	of	of	ADP
esrj-104741	20	31	reservoirs	reservoir	NOUN
esrj-104741	20	32	’	'	PUNCT
esrj-104741	20	33	fluid	fluid	ADJ
esrj-104741	20	34	properties	property	NOUN
esrj-104741	20	35	or	or	CCONJ
esrj-104741	20	36	industrial	industrial	ADJ
esrj-104741	20	37	value	value	NOUN
esrj-104741	20	38	and	and	CCONJ
esrj-104741	20	39	for	for	ADP
esrj-104741	20	40	selecting	select	VERB
esrj-104741	20	41	testing	testing	NOUN
esrj-104741	20	42	layers	layer	NOUN
esrj-104741	20	43	of	of	ADP
esrj-104741	20	44	the	the	DET
esrj-104741	20	45	well	well	NOUN
esrj-104741	20	46	.	.	PUNCT
esrj-104741	21	1	according	accord	VERB
esrj-104741	21	2	to	to	ADP
esrj-104741	21	3	the	the	DET
esrj-104741	21	4	existing	exist	VERB
esrj-104741	21	5	theories	theory	NOUN
esrj-104741	21	6	and	and	CCONJ
esrj-104741	21	7	data	datum	NOUN
esrj-104741	21	8	,	,	PUNCT
esrj-104741	21	9	the	the	DET
esrj-104741	21	10	reservoir	reservoir	NOUN
esrj-104741	21	11	resistivity	resistivity	NOUN
esrj-104741	21	12	is	be	AUX
esrj-104741	21	13	low	low	ADJ
esrj-104741	21	14	after	after	ADP
esrj-104741	21	15	the	the	DET
esrj-104741	21	16	completion	completion	NOUN
esrj-104741	21	17	of	of	ADP
esrj-104741	21	18	the	the	DET
esrj-104741	21	19	pre	pre	NOUN
esrj-104741	21	20	-	-	NOUN
esrj-104741	21	21	exploration	exploration	ADJ
esrj-104741	21	22	well	well	NOUN
esrj-104741	21	23	in	in	ADP
esrj-104741	21	24	the	the	DET
esrj-104741	21	25	more	more	ADV
esrj-104741	21	26	favorable	favorable	ADJ
esrj-104741	21	27	blocks	block	NOUN
esrj-104741	21	28	,	,	PUNCT
esrj-104741	21	29	and	and	CCONJ
esrj-104741	21	30	the	the	DET
esrj-104741	21	31	logging	log	VERB
esrj-104741	21	32	display	display	NOUN
esrj-104741	21	33	features	feature	NOUN
esrj-104741	21	34	of	of	ADP
esrj-104741	21	35	the	the	DET
esrj-104741	21	36	oil	oil	NOUN
esrj-104741	21	37	layer	layer	NOUN
esrj-104741	21	38	are	be	AUX
esrj-104741	21	39	not	not	PART
esrj-104741	21	40	obvious	obvious	ADJ
esrj-104741	21	41	(	(	PUNCT
esrj-104741	21	42	su	su	NOUN
esrj-104741	21	43	,	,	PUNCT
esrj-104741	21	44	2006	2006	NUM
esrj-104741	21	45	)	)	PUNCT
esrj-104741	21	46	.	.	PUNCT
esrj-104741	22	1	in	in	ADP
esrj-104741	22	2	exploration	exploration	NOUN
esrj-104741	22	3	and	and	CCONJ
esrj-104741	22	4	development	development	NOUN
esrj-104741	22	5	,	,	PUNCT
esrj-104741	22	6	the	the	DET
esrj-104741	22	7	interpretation	interpretation	NOUN
esrj-104741	22	8	or	or	CCONJ
esrj-104741	22	9	misinterpretation	misinterpretation	NOUN
esrj-104741	22	10	of	of	ADP
esrj-104741	22	11	the	the	DET
esrj-104741	22	12	oil	oil	NOUN
esrj-104741	22	13	layer	layer	NOUN
esrj-104741	22	14	log	log	NOUN
esrj-104741	22	15	leakage	leakage	NOUN
esrj-104741	22	16	is	be	AUX
esrj-104741	22	17	often	often	ADV
esrj-104741	22	18	caused	cause	VERB
esrj-104741	22	19	,	,	PUNCT
esrj-104741	22	20	which	which	PRON
esrj-104741	22	21	slows	slow	VERB
esrj-104741	22	22	down	down	ADP
esrj-104741	22	23	or	or	CCONJ
esrj-104741	22	24	restricts	restrict	VERB
esrj-104741	22	25	the	the	DET
esrj-104741	22	26	exploration	exploration	NOUN
esrj-104741	22	27	and	and	CCONJ
esrj-104741	22	28	development	development	NOUN
esrj-104741	22	29	process	process	NOUN
esrj-104741	22	30	of	of	ADP
esrj-104741	22	31	the	the	DET
esrj-104741	22	32	oil	oil	NOUN
esrj-104741	22	33	field	field	NOUN
esrj-104741	22	34	.	.	PUNCT
esrj-104741	23	1	using	use	VERB
esrj-104741	23	2	the	the	DET
esrj-104741	23	3	existing	exist	VERB
esrj-104741	23	4	technical	technical	ADJ
esrj-104741	23	5	conditions	condition	NOUN
esrj-104741	23	6	to	to	PART
esrj-104741	23	7	identify	identify	VERB
esrj-104741	23	8	various	various	ADJ
esrj-104741	23	9	types	type	NOUN
esrj-104741	23	10	of	of	ADP
esrj-104741	23	11	oil	oil	NOUN
esrj-104741	23	12	reservoirs	reservoir	NOUN
esrj-104741	23	13	effectively	effectively	ADV
esrj-104741	23	14	is	be	AUX
esrj-104741	23	15	significant	significant	ADJ
esrj-104741	23	16	to	to	ADP
esrj-104741	23	17	exploring	explore	VERB
esrj-104741	23	18	and	and	CCONJ
esrj-104741	23	19	developing	develop	VERB
esrj-104741	23	20	oilfields	oilfield	NOUN
esrj-104741	23	21	.	.	PUNCT
esrj-104741	24	1	when	when	SCONJ
esrj-104741	24	2	conventional	conventional	ADJ
esrj-104741	24	3	logging	logging	NOUN
esrj-104741	24	4	methods	method	NOUN
esrj-104741	24	5	explain	explain	VERB
esrj-104741	24	6	the	the	DET
esrj-104741	24	7	difficulties	difficulty	NOUN
esrj-104741	24	8	encountered	encounter	VERB
esrj-104741	24	9	by	by	ADP
esrj-104741	24	10	oil	oil	NOUN
esrj-104741	24	11	and	and	CCONJ
esrj-104741	24	12	water	water	NOUN
esrj-104741	24	13	reservoirs	reservoir	NOUN
esrj-104741	24	14	,	,	PUNCT
esrj-104741	24	15	the	the	DET
esrj-104741	24	16	analysis	analysis	NOUN
esrj-104741	24	17	data	datum	NOUN
esrj-104741	24	18	of	of	ADP
esrj-104741	24	19	geological	geological	ADJ
esrj-104741	24	20	logging	logging	NOUN
esrj-104741	24	21	and	and	CCONJ
esrj-104741	24	22	gas	gas	NOUN
esrj-104741	24	23	logging	logging	NOUN
esrj-104741	24	24	is	be	AUX
esrj-104741	24	25	another	another	DET
esrj-104741	24	26	way	way	NOUN
esrj-104741	24	27	to	to	PART
esrj-104741	24	28	solve	solve	VERB
esrj-104741	24	29	the	the	DET
esrj-104741	24	30	problem	problem	NOUN
esrj-104741	24	31	.	.	PUNCT
esrj-104741	25	1	the	the	DET
esrj-104741	25	2	application	application	NOUN
esrj-104741	25	3	of	of	ADP
esrj-104741	25	4	geological	geological	ADJ
esrj-104741	25	5	logging	log	VERB
esrj-104741	25	6	data	datum	NOUN
esrj-104741	25	7	oil	oil	NOUN
esrj-104741	25	8	and	and	CCONJ
esrj-104741	25	9	aquifer	aquifer	NOUN
esrj-104741	25	10	identification	identification	NOUN
esrj-104741	25	11	is	be	AUX
esrj-104741	25	12	the	the	DET
esrj-104741	25	13	plate	plate	NOUN
esrj-104741	25	14	method	method	NOUN
esrj-104741	25	15	,	,	PUNCT
esrj-104741	25	16	selecting	select	VERB
esrj-104741	25	17	two	two	NUM
esrj-104741	25	18	features	feature	NOUN
esrj-104741	25	19	as	as	ADP
esrj-104741	25	20	plates	plate	NOUN
esrj-104741	25	21	.	.	PUNCT
esrj-104741	26	1	usually	usually	ADV
esrj-104741	26	2	,	,	PUNCT
esrj-104741	26	3	all	all	DET
esrj-104741	26	4	features	feature	NOUN
esrj-104741	26	5	are	be	AUX
esrj-104741	26	6	made	make	VERB
esrj-104741	26	7	according	accord	VERB
esrj-104741	26	8	to	to	ADP
esrj-104741	26	9	every	every	DET
esrj-104741	26	10	two	two	NUM
esrj-104741	26	11	features	feature	NOUN
esrj-104741	26	12	for	for	ADP
esrj-104741	26	13	a	a	DET
esrj-104741	26	14	combination	combination	NOUN
esrj-104741	26	15	to	to	PART
esrj-104741	26	16	make	make	VERB
esrj-104741	26	17	all	all	DET
esrj-104741	26	18	plates	plate	NOUN
esrj-104741	26	19	,	,	PUNCT
esrj-104741	26	20	filter	filter	VERB
esrj-104741	26	21	out	out	ADP
esrj-104741	26	22	the	the	DET
esrj-104741	26	23	good	good	ADJ
esrj-104741	26	24	effect	effect	NOUN
esrj-104741	26	25	,	,	PUNCT
esrj-104741	26	26	and	and	CCONJ
esrj-104741	26	27	then	then	ADV
esrj-104741	26	28	the	the	DET
esrj-104741	26	29	multiple	multiple	ADJ
esrj-104741	26	30	plates	plate	NOUN
esrj-104741	26	31	screened	screen	VERB
esrj-104741	26	32	out	out	ADP
esrj-104741	26	33	are	be	AUX
esrj-104741	26	34	connected	connect	VERB
esrj-104741	26	35	for	for	ADP
esrj-104741	26	36	oil	oil	NOUN
esrj-104741	26	37	and	and	CCONJ
esrj-104741	26	38	aquifer	aquifer	NOUN
esrj-104741	26	39	identification	identification	NOUN
esrj-104741	26	40	.	.	PUNCT
esrj-104741	27	1	there	there	PRON
esrj-104741	27	2	are	be	VERB
esrj-104741	27	3	also	also	ADV
esrj-104741	27	4	methods	method	NOUN
esrj-104741	27	5	to	to	PART
esrj-104741	27	6	use	use	VERB
esrj-104741	27	7	various	various	ADJ
esrj-104741	27	8	features	feature	NOUN
esrj-104741	27	9	to	to	PART
esrj-104741	27	10	build	build	VERB
esrj-104741	27	11	new	new	ADJ
esrj-104741	27	12	features	feature	NOUN
esrj-104741	27	13	to	to	PART
esrj-104741	27	14	do	do	VERB
esrj-104741	27	15	the	the	DET
esrj-104741	27	16	plate	plate	NOUN
esrj-104741	27	17	for	for	ADP
esrj-104741	27	18	oil	oil	NOUN
esrj-104741	27	19	and	and	CCONJ
esrj-104741	27	20	water	water	NOUN
esrj-104741	27	21	layer	layer	NOUN
esrj-104741	27	22	identification	identification	NOUN
esrj-104741	27	23	.	.	PUNCT
esrj-104741	28	1	the	the	DET
esrj-104741	28	2	use	use	NOUN
esrj-104741	28	3	of	of	ADP
esrj-104741	28	4	new	new	ADJ
esrj-104741	28	5	features	feature	NOUN
esrj-104741	28	6	for	for	ADP
esrj-104741	28	7	oil	oil	NOUN
esrj-104741	28	8	and	and	CCONJ
esrj-104741	28	9	water	water	NOUN
esrj-104741	28	10	layer	layer	NOUN
esrj-104741	28	11	recognition	recognition	NOUN
esrj-104741	28	12	requires	require	VERB
esrj-104741	28	13	fewer	few	ADJ
esrj-104741	28	14	plates	plate	NOUN
esrj-104741	28	15	.	.	PUNCT
esrj-104741	29	1	still	still	ADV
esrj-104741	29	2	,	,	PUNCT
esrj-104741	29	3	in	in	ADP
esrj-104741	29	4	the	the	DET
esrj-104741	29	5	process	process	NOUN
esrj-104741	29	6	of	of	ADP
esrj-104741	29	7	new	new	ADJ
esrj-104741	29	8	feature	feature	NOUN
esrj-104741	29	9	construction	construction	NOUN
esrj-104741	29	10	,	,	PUNCT
esrj-104741	29	11	it	it	PRON
esrj-104741	29	12	is	be	AUX
esrj-104741	29	13	also	also	ADV
esrj-104741	29	14	necessary	necessary	ADJ
esrj-104741	29	15	to	to	PART
esrj-104741	29	16	establish	establish	VERB
esrj-104741	29	17	many	many	ADJ
esrj-104741	29	18	two	two	NUM
esrj-104741	29	19	feature	feature	NOUN
esrj-104741	29	20	plates	plate	NOUN
esrj-104741	29	21	based	base	VERB
esrj-104741	29	22	on	on	ADP
esrj-104741	29	23	the	the	DET
esrj-104741	29	24	establishment	establishment	NOUN
esrj-104741	29	25	.	.	PUNCT
esrj-104741	30	1	after	after	ADP
esrj-104741	30	2	a	a	DET
esrj-104741	30	3	lot	lot	NOUN
esrj-104741	30	4	of	of	ADP
esrj-104741	30	5	theoretical	theoretical	ADJ
esrj-104741	30	6	analysis	analysis	NOUN
esrj-104741	30	7	,	,	PUNCT
esrj-104741	30	8	it	it	PRON
esrj-104741	30	9	is	be	AUX
esrj-104741	30	10	difficult	difficult	ADJ
esrj-104741	30	11	to	to	PART
esrj-104741	30	12	achieve	achieve	VERB
esrj-104741	30	13	an	an	DET
esrj-104741	30	14	excellent	excellent	ADJ
esrj-104741	30	15	organic	organic	ADJ
esrj-104741	30	16	combination	combination	NOUN
esrj-104741	30	17	of	of	ADP
esrj-104741	30	18	all	all	DET
esrj-104741	30	19	features	feature	NOUN
esrj-104741	30	20	;	;	PUNCT
esrj-104741	30	21	the	the	DET
esrj-104741	30	22	effect	effect	NOUN
esrj-104741	30	23	could	could	AUX
esrj-104741	30	24	be	be	AUX
esrj-104741	30	25	better	well	ADJ
esrj-104741	30	26	.	.	PUNCT
esrj-104741	31	1	artificial	artificial	ADJ
esrj-104741	31	2	intelligence	intelligence	NOUN
esrj-104741	31	3	technology	technology	NOUN
esrj-104741	31	4	’s	’s	PART
esrj-104741	31	5	continuous	continuous	ADJ
esrj-104741	31	6	development	development	NOUN
esrj-104741	31	7	has	have	AUX
esrj-104741	31	8	been	be	AUX
esrj-104741	31	9	widely	widely	ADV
esrj-104741	31	10	used	use	VERB
esrj-104741	31	11	in	in	ADP
esrj-104741	31	12	many	many	ADJ
esrj-104741	31	13	fields	field	NOUN
esrj-104741	31	14	(	(	PUNCT
esrj-104741	31	15	wu	wu	PROPN
esrj-104741	31	16	et	et	PROPN
esrj-104741	31	17	al	al	PROPN
esrj-104741	31	18	.	.	PROPN
esrj-104741	31	19	,	,	PUNCT
esrj-104741	31	20	2021	2021	NUM
esrj-104741	31	21	;	;	PUNCT
esrj-104741	31	22	liu	liu	PROPN
esrj-104741	31	23	,	,	PUNCT
esrj-104741	31	24	y.	y.	PROPN
esrj-104741	31	25	,	,	PUNCT
esrj-104741	31	26	liu	liu	PROPN
esrj-104741	31	27	,	,	PUNCT
esrj-104741	31	28	s.	s.	PROPN
esrj-104741	31	29	,	,	PUNCT
esrj-104741	31	30	&	&	CCONJ
esrj-104741	31	31	ma	ma	PROPN
esrj-104741	31	32	,	,	PUNCT
esrj-104741	31	33	2019	2019	NUM
esrj-104741	31	34	;	;	PUNCT
esrj-104741	31	35	liang	liang	PROPN
esrj-104741	31	36	,	,	PUNCT
esrj-104741	31	37	chen	chen	PROPN
esrj-104741	31	38	,	,	PUNCT
esrj-104741	31	39	&	&	CCONJ
esrj-104741	31	40	zhang	zhang	PROPN
esrj-104741	31	41	,	,	PUNCT
esrj-104741	31	42	2019	2019	NUM
esrj-104741	31	43	;	;	PUNCT
esrj-104741	31	44	bengio	bengio	NOUN
esrj-104741	31	45	,	,	PUNCT
esrj-104741	31	46	courville	courville	NOUN
esrj-104741	31	47	,	,	PUNCT
esrj-104741	31	48	&	&	CCONJ
esrj-104741	31	49	vincent	vincent	PROPN
esrj-104741	31	50	,	,	PUNCT
esrj-104741	31	51	2012	2012	NUM
esrj-104741	31	52	;	;	PUNCT
esrj-104741	31	53	džeroski	džeroski	PROPN
esrj-104741	31	54	,	,	PUNCT
esrj-104741	31	55	&	&	CCONJ
esrj-104741	31	56	ženko	ženko	PROPN
esrj-104741	31	57	,	,	PUNCT
esrj-104741	31	58	2004	2004	NUM
esrj-104741	31	59	;	;	PUNCT
esrj-104741	31	60	xing	xing	PROPN
esrj-104741	31	61	,	,	PUNCT
esrj-104741	31	62	zhou	zhou	PROPN
esrj-104741	31	63	,	,	PUNCT
esrj-104741	31	64	&	&	CCONJ
esrj-104741	31	65	he	he	PRON
esrj-104741	31	66	,	,	PUNCT
esrj-104741	31	67	2022	2022	NUM
esrj-104741	31	68	)	)	PUNCT
esrj-104741	31	69	.	.	PUNCT
esrj-104741	32	1	artificial	artificial	ADJ
esrj-104741	32	2	intelligence	intelligence	NOUN
esrj-104741	32	3	technology	technology	NOUN
esrj-104741	32	4	can	can	AUX
esrj-104741	32	5	comprehensively	comprehensively	ADV
esrj-104741	32	6	consider	consider	VERB
esrj-104741	32	7	all	all	DET
esrj-104741	32	8	the	the	DET
esrj-104741	32	9	sample	sample	NOUN
esrj-104741	32	10	characteristics	characteristic	NOUN
esrj-104741	32	11	in	in	ADP
esrj-104741	32	12	the	the	DET
esrj-104741	32	13	model	model	NOUN
esrj-104741	32	14	training	training	NOUN
esrj-104741	32	15	process	process	NOUN
esrj-104741	32	16	by	by	ADP
esrj-104741	32	17	constantly	constantly	ADV
esrj-104741	32	18	adjusting	adjust	VERB
esrj-104741	32	19	the	the	DET
esrj-104741	32	20	weight	weight	NOUN
esrj-104741	32	21	value	value	NOUN
esrj-104741	32	22	of	of	ADP
esrj-104741	32	23	each	each	DET
esrj-104741	32	24	feature	feature	NOUN
esrj-104741	32	25	so	so	SCONJ
esrj-104741	32	26	that	that	SCONJ
esrj-104741	32	27	the	the	DET
esrj-104741	32	28	error	error	NOUN
esrj-104741	32	29	between	between	ADP
esrj-104741	32	30	the	the	DET
esrj-104741	32	31	fitted	fit	VERB
esrj-104741	32	32	value	value	NOUN
esrj-104741	32	33	and	and	CCONJ
esrj-104741	32	34	the	the	DET
esrj-104741	32	35	target	target	NOUN
esrj-104741	32	36	value	value	NOUN
esrj-104741	32	37	of	of	ADP
esrj-104741	32	38	each	each	DET
esrj-104741	32	39	training	training	NOUN
esrj-104741	32	40	sample	sample	NOUN
esrj-104741	32	41	continues	continue	VERB
esrj-104741	32	42	to	to	PART
esrj-104741	32	43	shrink	shrink	VERB
esrj-104741	32	44	.	.	PUNCT
esrj-104741	33	1	when	when	SCONJ
esrj-104741	33	2	the	the	DET
esrj-104741	33	3	error	error	NOUN
esrj-104741	33	4	value	value	NOUN
esrj-104741	33	5	reaches	reach	VERB
esrj-104741	33	6	the	the	DET
esrj-104741	33	7	required	require	VERB
esrj-104741	33	8	accuracy	accuracy	NOUN
esrj-104741	33	9	,	,	PUNCT
esrj-104741	33	10	and	and	CCONJ
esrj-104741	33	11	the	the	DET
esrj-104741	33	12	training	training	NOUN
esrj-104741	33	13	ends	end	VERB
esrj-104741	33	14	,	,	PUNCT
esrj-104741	33	15	the	the	DET
esrj-104741	33	16	trained	train	VERB
esrj-104741	33	17	model	model	NOUN
esrj-104741	33	18	is	be	AUX
esrj-104741	33	19	used	use	VERB
esrj-104741	33	20	to	to	PART
esrj-104741	33	21	identify	identify	VERB
esrj-104741	33	22	one	one	NUM
esrj-104741	33	23	sample	sample	NOUN
esrj-104741	33	24	to	to	PART
esrj-104741	33	25	measure	measure	VERB
esrj-104741	33	26	and	and	CCONJ
esrj-104741	33	27	able	able	ADJ
esrj-104741	33	28	to	to	PART
esrj-104741	33	29	achieve	achieve	VERB
esrj-104741	33	30	good	good	ADJ
esrj-104741	33	31	results	result	NOUN
esrj-104741	33	32	.	.	PUNCT
esrj-104741	34	1	this	this	DET
esrj-104741	34	2	method	method	NOUN
esrj-104741	34	3	is	be	AUX
esrj-104741	34	4	the	the	DET
esrj-104741	34	5	comprehensive	comprehensive	ADJ
esrj-104741	34	6	embodiment	embodiment	NOUN
esrj-104741	34	7	of	of	ADP
esrj-104741	34	8	the	the	DET
esrj-104741	34	9	oil	oil	NOUN
esrj-104741	34	10	and	and	CCONJ
esrj-104741	34	11	water	water	NOUN
esrj-104741	34	12	layer	layer	NOUN
esrj-104741	34	13	’s	’s	PART
esrj-104741	34	14	identification	identification	NOUN
esrj-104741	34	15	plate	plate	NOUN
esrj-104741	34	16	method	method	NOUN
esrj-104741	34	17	,	,	PUNCT
esrj-104741	34	18	which	which	PRON
esrj-104741	34	19	is	be	AUX
esrj-104741	34	20	simpler	simple	ADJ
esrj-104741	34	21	and	and	CCONJ
esrj-104741	34	22	better	well	ADJ
esrj-104741	34	23	than	than	ADP
esrj-104741	34	24	the	the	DET
esrj-104741	34	25	plate	plate	NOUN
esrj-104741	34	26	method	method	NOUN
esrj-104741	34	27	.	.	PUNCT
esrj-104741	35	1	this	this	DET
esrj-104741	35	2	paper	paper	NOUN
esrj-104741	35	3	uses	use	VERB
esrj-104741	35	4	random	random	ADJ
esrj-104741	35	5	forests	forest	NOUN
esrj-104741	35	6	in	in	ADP
esrj-104741	35	7	artificial	artificial	ADJ
esrj-104741	35	8	intelligence	intelligence	NOUN
esrj-104741	35	9	to	to	PART
esrj-104741	35	10	identify	identify	VERB
esrj-104741	35	11	the	the	DET
esrj-104741	35	12	oil	oil	NOUN
esrj-104741	35	13	and	and	CCONJ
esrj-104741	35	14	aquifer	aquifer	NOUN
esrj-104741	35	15	of	of	ADP
esrj-104741	35	16	the	the	DET
esrj-104741	35	17	liaohe	liaohe	NOUN
esrj-104741	35	18	depression	depression	NOUN
esrj-104741	35	19	.	.	PUNCT
esrj-104741	36	1	random	random	ADJ
esrj-104741	36	2	forest	forest	NOUN
esrj-104741	36	3	decision	decision	NOUN
esrj-104741	36	4	tree	tree	NOUN
esrj-104741	36	5	model	model	NOUN
esrj-104741	36	6	the	the	DET
esrj-104741	36	7	random	random	ADJ
esrj-104741	36	8	forest	forest	NOUN
esrj-104741	36	9	is	be	AUX
esrj-104741	36	10	based	base	VERB
esrj-104741	36	11	on	on	ADP
esrj-104741	36	12	a	a	DET
esrj-104741	36	13	decision	decision	NOUN
esrj-104741	36	14	tree	tree	NOUN
esrj-104741	36	15	,	,	PUNCT
esrj-104741	36	16	and	and	CCONJ
esrj-104741	36	17	the	the	DET
esrj-104741	36	18	classification	classification	NOUN
esrj-104741	36	19	decision	decision	NOUN
esrj-104741	36	20	tree	tree	NOUN
esrj-104741	36	21	model	model	NOUN
esrj-104741	36	22	is	be	AUX
esrj-104741	36	23	a	a	DET
esrj-104741	36	24	tree	tree	NOUN
esrj-104741	36	25	structure	structure	NOUN
esrj-104741	36	26	that	that	PRON
esrj-104741	36	27	describes	describe	VERB
esrj-104741	36	28	the	the	DET
esrj-104741	36	29	classification	classification	NOUN
esrj-104741	36	30	of	of	ADP
esrj-104741	36	31	instances	instance	NOUN
esrj-104741	36	32	(	(	PUNCT
esrj-104741	36	33	hang	hang	PROPN
esrj-104741	36	34	,	,	PUNCT
esrj-104741	36	35	2012	2012	NUM
esrj-104741	36	36	)	)	PUNCT
esrj-104741	36	37	.	.	PUNCT
esrj-104741	37	1	decision	decision	NOUN
esrj-104741	37	2	trees	tree	NOUN
esrj-104741	37	3	consist	consist	VERB
esrj-104741	37	4	of	of	ADP
esrj-104741	37	5	nodes	node	NOUN
esrj-104741	37	6	,	,	PUNCT
esrj-104741	37	7	directed	direct	VERB
esrj-104741	37	8	edges	edge	NOUN
esrj-104741	37	9	,	,	PUNCT
esrj-104741	37	10	and	and	CCONJ
esrj-104741	37	11	nodes	node	NOUN
esrj-104741	37	12	consist	consist	VERB
esrj-104741	37	13	of	of	ADP
esrj-104741	37	14	two	two	NUM
esrj-104741	37	15	types	type	NOUN
esrj-104741	37	16	,	,	PUNCT
esrj-104741	37	17	which	which	PRON
esrj-104741	37	18	are	be	AUX
esrj-104741	37	19	internal	internal	ADJ
esrj-104741	37	20	nodes	node	NOUN
esrj-104741	37	21	,	,	PUNCT
esrj-104741	37	22	and	and	CCONJ
esrj-104741	37	23	leaf	leaf	NOUN
esrj-104741	37	24	nodes	node	NOUN
esrj-104741	37	25	.	.	PUNCT
esrj-104741	38	1	internal	internal	ADJ
esrj-104741	38	2	nodes	node	NOUN
esrj-104741	38	3	represent	represent	VERB
esrj-104741	38	4	a	a	DET
esrj-104741	38	5	feature	feature	NOUN
esrj-104741	38	6	or	or	CCONJ
esrj-104741	38	7	attribute	attribute	NOUN
esrj-104741	38	8	,	,	PUNCT
esrj-104741	38	9	and	and	CCONJ
esrj-104741	38	10	leaf	leaf	NOUN
esrj-104741	38	11	nodes	node	NOUN
esrj-104741	38	12	represent	represent	VERB
esrj-104741	38	13	a	a	DET
esrj-104741	38	14	class	class	NOUN
esrj-104741	38	15	.	.	PUNCT
esrj-104741	39	1	the	the	DET
esrj-104741	39	2	classification	classification	NOUN
esrj-104741	39	3	process	process	NOUN
esrj-104741	39	4	of	of	ADP
esrj-104741	39	5	the	the	DET
esrj-104741	39	6	decision	decision	NOUN
esrj-104741	39	7	tree	tree	NOUN
esrj-104741	39	8	starts	start	VERB
esrj-104741	39	9	from	from	ADP
esrj-104741	39	10	the	the	DET
esrj-104741	39	11	root	root	NOUN
esrj-104741	39	12	node	node	NOUN
esrj-104741	39	13	,	,	PUNCT
esrj-104741	39	14	tests	test	VERB
esrj-104741	39	15	a	a	DET
esrj-104741	39	16	specific	specific	ADJ
esrj-104741	39	17	feature	feature	NOUN
esrj-104741	39	18	of	of	ADP
esrj-104741	39	19	the	the	DET
esrj-104741	39	20	instance	instance	NOUN
esrj-104741	39	21	,	,	PUNCT
esrj-104741	39	22	and	and	CCONJ
esrj-104741	39	23	,	,	PUNCT
esrj-104741	39	24	according	accord	VERB
esrj-104741	39	25	to	to	ADP
esrj-104741	39	26	the	the	DET
esrj-104741	39	27	test	test	NOUN
esrj-104741	39	28	results	result	NOUN
esrj-104741	39	29	,	,	PUNCT
esrj-104741	39	30	the	the	DET
esrj-104741	39	31	instance	instance	NOUN
esrj-104741	39	32	is	be	AUX
esrj-104741	39	33	assigned	assign	VERB
esrj-104741	39	34	to	to	ADP
esrj-104741	39	35	one	one	NUM
esrj-104741	39	36	of	of	ADP
esrj-104741	39	37	its	its	PRON
esrj-104741	39	38	sub	sub	NOUN
esrj-104741	39	39	-	-	NOUN
esrj-104741	39	40	nodes	node	NOUN
esrj-104741	39	41	.	.	PUNCT
esrj-104741	40	1	then	then	ADV
esrj-104741	40	2	,	,	PUNCT
esrj-104741	40	3	the	the	DET
esrj-104741	40	4	corresponding	correspond	VERB
esrj-104741	40	5	elements	element	NOUN
esrj-104741	40	6	of	of	ADP
esrj-104741	40	7	each	each	DET
esrj-104741	40	8	node	node	NOUN
esrj-104741	40	9	are	be	AUX
esrj-104741	40	10	detected	detect	VERB
esrj-104741	40	11	and	and	CCONJ
esrj-104741	40	12	assigned	assign	VERB
esrj-104741	40	13	,	,	PUNCT
esrj-104741	40	14	and	and	CCONJ
esrj-104741	40	15	finally	finally	ADV
esrj-104741	40	16	,	,	PUNCT
esrj-104741	40	17	the	the	DET
esrj-104741	40	18	instance	instance	NOUN
esrj-104741	40	19	is	be	AUX
esrj-104741	40	20	assigned	assign	VERB
esrj-104741	40	21	to	to	ADP
esrj-104741	40	22	the	the	DET
esrj-104741	40	23	leaf	leaf	NOUN
esrj-104741	40	24	node	node	NOUN
esrj-104741	40	25	.	.	PUNCT
esrj-104741	41	1	the	the	DET
esrj-104741	41	2	class	class	NOUN
esrj-104741	41	3	corresponding	correspond	VERB
esrj-104741	41	4	to	to	ADP
esrj-104741	41	5	the	the	DET
esrj-104741	41	6	leaf	leaf	NOUN
esrj-104741	41	7	node	node	NOUN
esrj-104741	41	8	at	at	ADP
esrj-104741	41	9	this	this	DET
esrj-104741	41	10	time	time	NOUN
esrj-104741	41	11	is	be	AUX
esrj-104741	41	12	the	the	DET
esrj-104741	41	13	judgment	judgment	NOUN
esrj-104741	41	14	result	result	NOUN
esrj-104741	41	15	of	of	ADP
esrj-104741	41	16	the	the	DET
esrj-104741	41	17	decision	decision	NOUN
esrj-104741	41	18	tree	tree	NOUN
esrj-104741	41	19	model	model	NOUN
esrj-104741	41	20	.	.	PUNCT
esrj-104741	42	1	feature	feature	NOUN
esrj-104741	42	2	selection	selection	NOUN
esrj-104741	42	3	the	the	DET
esrj-104741	42	4	key	key	NOUN
esrj-104741	42	5	to	to	ADP
esrj-104741	42	6	the	the	DET
esrj-104741	42	7	decision	decision	NOUN
esrj-104741	42	8	tree	tree	NOUN
esrj-104741	42	9	is	be	AUX
esrj-104741	42	10	selecting	select	VERB
esrj-104741	42	11	the	the	DET
esrj-104741	42	12	optimal	optimal	ADJ
esrj-104741	42	13	features	feature	NOUN
esrj-104741	42	14	and	and	CCONJ
esrj-104741	42	15	dividing	divide	VERB
esrj-104741	42	16	the	the	DET
esrj-104741	42	17	current	current	ADJ
esrj-104741	42	18	sample	sample	NOUN
esrj-104741	42	19	so	so	SCONJ
esrj-104741	42	20	that	that	SCONJ
esrj-104741	42	21	the	the	DET
esrj-104741	42	22	“	"	PUNCT
esrj-104741	42	23	purity	purity	NOUN
esrj-104741	42	24	”	"	PUNCT
esrj-104741	42	25	of	of	ADP
esrj-104741	42	26	the	the	DET
esrj-104741	42	27	split	split	NOUN
esrj-104741	42	28	nodes	node	NOUN
esrj-104741	42	29	is	be	AUX
esrj-104741	42	30	higher	high	ADJ
esrj-104741	42	31	(	(	PUNCT
esrj-104741	42	32	zhou	zhou	PROPN
esrj-104741	42	33	,	,	PUNCT
esrj-104741	42	34	2016	2016	NUM
esrj-104741	42	35	;	;	PUNCT
esrj-104741	42	36	wang	wang	PROPN
esrj-104741	42	37	et	et	PROPN
esrj-104741	42	38	al	al	PROPN
esrj-104741	42	39	.	.	PROPN
esrj-104741	42	40	,	,	PUNCT
esrj-104741	42	41	2021	2021	NUM
esrj-104741	42	42	;	;	PUNCT
esrj-104741	42	43	zhao	zhao	PROPN
esrj-104741	42	44	et	et	PROPN
esrj-104741	42	45	al	al	PROPN
esrj-104741	42	46	.	.	PROPN
esrj-104741	42	47	,	,	PUNCT
esrj-104741	42	48	2021	2021	NUM
esrj-104741	42	49	;	;	PUNCT
esrj-104741	42	50	wang	wang	PROPN
esrj-104741	42	51	et	et	PROPN
esrj-104741	42	52	al	al	PROPN
esrj-104741	42	53	.	.	PROPN
esrj-104741	42	54	,	,	PUNCT
esrj-104741	42	55	2021	2021	NUM
esrj-104741	42	56	)	)	PUNCT
esrj-104741	42	57	.	.	PUNCT
esrj-104741	43	1	information	information	NOUN
esrj-104741	43	2	gain	gain	VERB
esrj-104741	43	3	“	"	PUNCT
esrj-104741	43	4	information	information	NOUN
esrj-104741	43	5	entropy	entropy	NOUN
esrj-104741	43	6	”	"	PUNCT
esrj-104741	43	7	is	be	AUX
esrj-104741	43	8	one	one	NUM
esrj-104741	43	9	of	of	ADP
esrj-104741	43	10	the	the	DET
esrj-104741	43	11	most	most	ADV
esrj-104741	43	12	used	use	VERB
esrj-104741	43	13	metrics	metric	NOUN
esrj-104741	43	14	to	to	PART
esrj-104741	43	15	measure	measure	VERB
esrj-104741	43	16	the	the	DET
esrj-104741	43	17	purity	purity	NOUN
esrj-104741	43	18	of	of	ADP
esrj-104741	43	19	a	a	DET
esrj-104741	43	20	sample	sample	NOUN
esrj-104741	43	21	set	set	NOUN
esrj-104741	43	22	.	.	PUNCT
esrj-104741	44	1	suppose	suppose	VERB
esrj-104741	44	2	that	that	SCONJ
esrj-104741	44	3	the	the	DET
esrj-104741	44	4	proportion	proportion	NOUN
esrj-104741	44	5	of	of	ADP
esrj-104741	44	6	samples	sample	NOUN
esrj-104741	44	7	of	of	ADP
esrj-104741	44	8	the	the	DET
esrj-104741	44	9	kth	kth	PROPN
esrj-104741	44	10	class	class	NOUN
esrj-104741	44	11	in	in	ADP
esrj-104741	44	12	the	the	DET
esrj-104741	44	13	current	current	ADJ
esrj-104741	44	14	set	set	NOUN
esrj-104741	44	15	of	of	ADP
esrj-104741	44	16	samples	sample	NOUN
esrj-104741	44	17	d	d	NOUN
esrj-104741	44	18	is	be	AUX
esrj-104741	44	19	pk(k	pk(k	ADJ
esrj-104741	44	20	=	=	SYM
esrj-104741	44	21	1	1	NUM
esrj-104741	44	22	,	,	PUNCT
esrj-104741	44	23	2	2	NUM
esrj-104741	44	24	,	,	PUNCT
esrj-104741	44	25	...	...	PUNCT
esrj-104741	44	26	)	)	PUNCT
esrj-104741	44	27	,	,	PUNCT
esrj-104741	44	28	then	then	ADV
esrj-104741	44	29	the	the	DET
esrj-104741	44	30	information	information	NOUN
esrj-104741	44	31	entropy	entropy	NOUN
esrj-104741	44	32	of	of	ADP
esrj-104741	44	33	d	d	PROPN
esrj-104741	44	34	is	be	AUX
esrj-104741	44	35	defined	define	VERB
esrj-104741	44	36	as	as	ADP
esrj-104741	44	37	|y|	|y|	PROPN
esrj-104741	44	38	meet	meet	VERB
esrj-104741	44	39	the	the	DET
esrj-104741	44	40	conditions	condition	NOUN
esrj-104741	44	41	1	1	X
esrj-104741	44	42	?	?	PUNCT
esrj-104741	45	1	meet	meet	VERB
esrj-104741	45	2	the	the	DET
esrj-104741	45	3	conditions	condition	NOUN
esrj-104741	45	4	2	2	X
esrj-104741	45	5	?	?	PUNCT
esrj-104741	45	6	meet	meet	VERB
esrj-104741	45	7	the	the	DET
esrj-104741	45	8	conditions	condition	NOUN
esrj-104741	45	9	3	3	X
esrj-104741	45	10	?	?	PUNCT
esrj-104741	45	11	meet	meet	VERB
esrj-104741	45	12	the	the	DET
esrj-104741	45	13	conditions	condition	NOUN
esrj-104741	45	14	3?type	3?type	PROPN
esrj-104741	45	15	1	1	NUM
esrj-104741	45	16	type	type	NOUN
esrj-104741	45	17	2	2	NUM
esrj-104741	45	18	type	type	NOUN
esrj-104741	45	19	3	3	NUM
esrj-104741	45	20	type	type	NOUN
esrj-104741	45	21	4	4	NUM
esrj-104741	45	22	type	type	NOUN
esrj-104741	45	23	5	5	NUM
esrj-104741	45	24	y	y	NOUN
esrj-104741	45	25	y	y	PROPN
esrj-104741	45	26	y	y	PROPN
esrj-104741	45	27	y	y	PROPN
esrj-104741	45	28	n	n	CCONJ
esrj-104741	45	29	n	n	CCONJ
esrj-104741	45	30	n	n	CCONJ
esrj-104741	45	31	n	n	PRON
esrj-104741	45	32	figure	figure	NOUN
esrj-104741	45	33	1	1	NUM
esrj-104741	45	34	.	.	PUNCT
esrj-104741	45	35	decision	decision	NOUN
esrj-104741	45	36	tree	tree	NOUN
esrj-104741	45	37	model	model	NOUN
esrj-104741	45	38	ent(d	ent(d	PROPN
esrj-104741	45	39	)	)	PUNCT
esrj-104741	45	40	=	=	PUNCT
esrj-104741	46	1	-∑|y|	-∑|y|	NOUN
esrj-104741	46	2	k=1	k=1	PUNCT
esrj-104741	46	3	pklog2	pklog2	PROPN
esrj-104741	46	4	pk	pk	NOUN
esrj-104741	46	5	(	(	PUNCT
esrj-104741	46	6	1	1	NUM
esrj-104741	46	7	)	)	PUNCT
esrj-104741	46	8	the	the	PRON
esrj-104741	46	9	smaller	small	ADJ
esrj-104741	46	10	the	the	DET
esrj-104741	46	11	value	value	NOUN
esrj-104741	46	12	of	of	ADP
esrj-104741	46	13	ent(d	ent(d	PROPN
esrj-104741	46	14	)	)	PUNCT
esrj-104741	46	15	,	,	PUNCT
esrj-104741	46	16	the	the	PRON
esrj-104741	46	17	higher	high	ADJ
esrj-104741	46	18	the	the	DET
esrj-104741	46	19	purity	purity	NOUN
esrj-104741	46	20	of	of	ADP
esrj-104741	46	21	d.	d.	PROPN
esrj-104741	46	22	the	the	DET
esrj-104741	46	23	information	information	NOUN
esrj-104741	46	24	entropy	entropy	VERB
esrj-104741	46	25	dv	dv	PROPN
esrj-104741	46	26	of	of	ADP
esrj-104741	46	27	can	can	AUX
esrj-104741	46	28	be	be	AUX
esrj-104741	46	29	calculated	calculate	VERB
esrj-104741	46	30	according	accord	VERB
esrj-104741	46	31	to	to	ADP
esrj-104741	46	32	equation	equation	NOUN
esrj-104741	46	33	1	1	NUM
esrj-104741	46	34	.	.	PUNCT
esrj-104741	47	1	then	then	ADV
esrj-104741	47	2	,	,	PUNCT
esrj-104741	47	3	considering	consider	VERB
esrj-104741	47	4	that	that	SCONJ
esrj-104741	47	5	the	the	DET
esrj-104741	47	6	number	number	NOUN
esrj-104741	47	7	of	of	ADP
esrj-104741	47	8	samples	sample	NOUN
esrj-104741	47	9	contained	contain	VERB
esrj-104741	47	10	in	in	ADP
esrj-104741	47	11	different	different	ADJ
esrj-104741	47	12	branch	branch	NOUN
esrj-104741	47	13	nodes	node	NOUN
esrj-104741	47	14	is	be	AUX
esrj-104741	47	15	different	different	ADJ
esrj-104741	47	16	,	,	PUNCT
esrj-104741	47	17	the	the	DET
esrj-104741	47	18	branch	branch	NOUN
esrj-104741	47	19	nodes	node	NOUN
esrj-104741	47	20	are	be	AUX
esrj-104741	47	21	given	give	VERB
esrj-104741	47	22	weights	weight	NOUN
esrj-104741	47	23	d	d	X
esrj-104741	47	24	d	d	NOUN
esrj-104741	47	25	v	v	NOUN
esrj-104741	47	26	.	.	PUNCT
esrj-104741	48	1	the	the	DET
esrj-104741	48	2	more	more	ADJ
esrj-104741	48	3	samples	sample	NOUN
esrj-104741	48	4	there	there	PRON
esrj-104741	48	5	are	be	VERB
esrj-104741	48	6	,	,	PUNCT
esrj-104741	48	7	the	the	PRON
esrj-104741	48	8	greater	great	ADJ
esrj-104741	48	9	the	the	DET
esrj-104741	48	10	influence	influence	NOUN
esrj-104741	48	11	of	of	ADP
esrj-104741	48	12	the	the	DET
esrj-104741	48	13	branch	branch	NOUN
esrj-104741	48	14	nodes	nod	VERB
esrj-104741	48	15	,	,	PUNCT
esrj-104741	48	16	so	so	SCONJ
esrj-104741	48	17	it	it	PRON
esrj-104741	48	18	is	be	AUX
esrj-104741	48	19	possible	possible	ADJ
esrj-104741	48	20	to	to	PART
esrj-104741	48	21	calculate	calculate	VERB
esrj-104741	48	22	the	the	DET
esrj-104741	48	23	attribute	attribute	NOUN
esrj-104741	48	24	‘	'	PUNCT
esrj-104741	48	25	a	a	PRON
esrj-104741	48	26	’	'	PUNCT
esrj-104741	48	27	to	to	PART
esrj-104741	48	28	divide	divide	VERB
esrj-104741	48	29	the	the	DET
esrj-104741	48	30	sample	sample	NOUN
esrj-104741	49	1	set	set	VERB
esrj-104741	50	1	d	d	NOUN
esrj-104741	50	2	:	:	PUNCT
esrj-104741	50	3	“	"	PUNCT
esrj-104741	50	4	information	information	NOUN
esrj-104741	50	5	gain	gain	NOUN
esrj-104741	50	6	.	.	PUNCT
esrj-104741	50	7	”	"	PUNCT
esrj-104741	51	1	gain	gain	VERB
esrj-104741	51	2	d	d	PROPN
esrj-104741	51	3	a	a	DET
esrj-104741	51	4	ent	ent	NOUN
esrj-104741	51	5	d	d	PROPN
esrj-104741	51	6	d	d	PROPN
esrj-104741	51	7	d	d	X
esrj-104741	51	8	ent	ent	PROPN
esrj-104741	51	9	d	d	PROPN
esrj-104741	51	10	v	v	ADP
esrj-104741	51	11	v	v	PROPN
esrj-104741	51	12	d	d	X
esrj-104741	51	13	v	v	NOUN
esrj-104741	51	14	(	(	PUNCT
esrj-104741	51	15	,	,	PUNCT
esrj-104741	51	16	)	)	PUNCT
esrj-104741	51	17	(	(	PUNCT
esrj-104741	51	18	)	)	PUNCT
esrj-104741	51	19	(	(	PUNCT
esrj-104741	51	20	)	)	PUNCT
esrj-104741	51	21	�	�	PROPN
esrj-104741	51	22	�	�	PROPN
esrj-104741	51	23	�	�	PROPN
esrj-104741	51	24	�	�	PROPN
esrj-104741	51	25	�	�	PROPN
esrj-104741	51	26	�	�	PROPN
esrj-104741	51	27	�	�	PROPN
esrj-104741	51	28	�	�	PROPN
esrj-104741	51	29	1	1	NUM
esrj-104741	51	30	(	(	PUNCT
esrj-104741	51	31	2	2	NUM
esrj-104741	51	32	)	)	PUNCT
esrj-104741	51	33	in	in	ADP
esrj-104741	51	34	general	general	ADJ
esrj-104741	51	35	,	,	PUNCT
esrj-104741	51	36	the	the	DET
esrj-104741	51	37	information	information	NOUN
esrj-104741	51	38	gain	gain	NOUN
esrj-104741	51	39	is	be	AUX
esrj-104741	51	40	greater	great	ADJ
esrj-104741	51	41	,	,	PUNCT
esrj-104741	51	42	and	and	CCONJ
esrj-104741	51	43	the	the	DET
esrj-104741	51	44	“	"	PUNCT
esrj-104741	51	45	purity	purity	NOUN
esrj-104741	51	46	boost	boost	NOUN
esrj-104741	51	47	”	"	PUNCT
esrj-104741	51	48	obtained	obtain	VERB
esrj-104741	51	49	is	be	AUX
esrj-104741	51	50	greater	great	ADJ
esrj-104741	51	51	by	by	ADP
esrj-104741	51	52	dividing	divide	VERB
esrj-104741	51	53	using	use	VERB
esrj-104741	51	54	the	the	DET
esrj-104741	51	55	attribute‘a	attribute‘a	NOUN
esrj-104741	51	56	’	'	PUNCT
esrj-104741	51	57	.	.	PUNCT
esrj-104741	52	1	therefore	therefore	ADV
esrj-104741	52	2	,	,	PUNCT
esrj-104741	52	3	we	we	PRON
esrj-104741	52	4	can	can	AUX
esrj-104741	52	5	use	use	VERB
esrj-104741	52	6	the	the	DET
esrj-104741	52	7	information	information	NOUN
esrj-104741	52	8	gained	gain	VERB
esrj-104741	52	9	for	for	ADP
esrj-104741	52	10	attribute	attribute	NOUN
esrj-104741	52	11	selection	selection	NOUN
esrj-104741	52	12	.	.	PUNCT
esrj-104741	53	1	the	the	DET
esrj-104741	53	2	famous	famous	ADJ
esrj-104741	53	3	id3	id3	NOUN
esrj-104741	53	4	decision	decision	NOUN
esrj-104741	53	5	tree	tree	NOUN
esrj-104741	53	6	learning	learn	VERB
esrj-104741	53	7	algorithm	algorithm	PROPN
esrj-104741	53	8	uses	use	VERB
esrj-104741	53	9	the	the	DET
esrj-104741	53	10	information	information	NOUN
esrj-104741	53	11	gained	gain	VERB
esrj-104741	53	12	as	as	ADP
esrj-104741	53	13	a	a	DET
esrj-104741	53	14	reference	reference	NOUN
esrj-104741	53	15	to	to	PART
esrj-104741	53	16	select	select	VERB
esrj-104741	53	17	the	the	DET
esrj-104741	53	18	division	division	NOUN
esrj-104741	53	19	attributes	attribute	VERB
esrj-104741	53	20	.	.	PUNCT
esrj-104741	54	1	gini	gini	NOUN
esrj-104741	54	2	index	index	PROPN
esrj-104741	54	3	there	there	PRON
esrj-104741	54	4	is	be	VERB
esrj-104741	54	5	also	also	ADV
esrj-104741	54	6	a	a	DET
esrj-104741	54	7	classification	classification	NOUN
esrj-104741	54	8	index	index	NOUN
esrj-104741	54	9	called	call	VERB
esrj-104741	54	10	the	the	DET
esrj-104741	54	11	gini	gini	PROPN
esrj-104741	54	12	index	index	PROPN
esrj-104741	54	13	,	,	PUNCT
esrj-104741	54	14	which	which	PRON
esrj-104741	54	15	uses	use	VERB
esrj-104741	54	16	the	the	DET
esrj-104741	54	17	same	same	ADJ
esrj-104741	54	18	symbol	symbol	NOUN
esrj-104741	54	19	as	as	ADP
esrj-104741	54	20	1	1	NUM
esrj-104741	54	21	,	,	PUNCT
esrj-104741	54	22	and	and	CCONJ
esrj-104741	54	23	the	the	DET
esrj-104741	54	24	gini	gini	PROPN
esrj-104741	54	25	index	index	NOUN
esrj-104741	54	26	can	can	AUX
esrj-104741	54	27	measure	measure	VERB
esrj-104741	54	28	the	the	DET
esrj-104741	54	29	purity	purity	NOUN
esrj-104741	54	30	of	of	ADP
esrj-104741	54	31	data	datum	NOUN
esrj-104741	54	32	set	set	VERB
esrj-104741	55	1	d	d	PROPN
esrj-104741	55	2	gini	gini	PROPN
esrj-104741	55	3	d	d	PROPN
esrj-104741	55	4	p	p	X
esrj-104741	55	5	p	p	X
esrj-104741	55	6	p	p	PROPN
esrj-104741	55	7	kkk	kkk	NOUN
esrj-104741	55	8	y	y	PROPN
esrj-104741	55	9	k	k	PROPN
esrj-104741	55	10	kk	kk	PROPN
esrj-104741	55	11	y	y	PROPN
esrj-104741	55	12	k	k	PROPN
esrj-104741	55	13	(	(	PUNCT
esrj-104741	55	14	)	)	PUNCT
esrj-104741	55	15	�	�	PROPN
esrj-104741	55	16	�	�	PROPN
esrj-104741	55	17	�	�	PROPN
esrj-104741	55	18	�	�	PROPN
esrj-104741	55	19	�	�	PROPN
esrj-104741	55	20	�	�	PROPN
esrj-104741	55	21	�	�	PROPN
esrj-104741	55	22	�	�	PROPN
esrj-104741	55	23	�	�	PROPN
esrj-104741	55	24	�	�	PROPN
esrj-104741	55	25	�	�	PROPN
esrj-104741	55	26	�	�	PROPN
esrj-104741	55	27	�	�	PROPN
esrj-104741	55	28	�	�	PROPN
esrj-104741	55	29	�	�	PROPN
esrj-104741	55	30	�	�	PROPN
esrj-104741	55	31	�	�	PROPN
esrj-104741	55	32	�	�	PROPN
esrj-104741	55	33	�	�	PROPN
esrj-104741	55	34	�	�	PROPN
esrj-104741	55	35	1	1	NUM
esrj-104741	55	36	2	2	NUM
esrj-104741	55	37	1	1	NUM
esrj-104741	55	38	1	1	NUM
esrj-104741	55	39	(	(	PUNCT
esrj-104741	55	40	3	3	NUM
esrj-104741	55	41	)	)	PUNCT
esrj-104741	55	42	intuitively	intuitively	ADV
esrj-104741	55	43	,	,	PUNCT
esrj-104741	55	44	the	the	DET
esrj-104741	55	45	gini	gini	PROPN
esrj-104741	55	46	index	index	NOUN
esrj-104741	55	47	reflects	reflect	VERB
esrj-104741	55	48	the	the	DET
esrj-104741	55	49	probability	probability	NOUN
esrj-104741	55	50	that	that	SCONJ
esrj-104741	55	51	two	two	NUM
esrj-104741	55	52	random	random	ADJ
esrj-104741	55	53	samples	sample	NOUN
esrj-104741	55	54	were	be	AUX
esrj-104741	55	55	taken	take	VERB
esrj-104741	55	56	from	from	ADP
esrj-104741	55	57	dataset	dataset	ADJ
esrj-104741	55	58	d	d	NOUN
esrj-104741	55	59	with	with	ADP
esrj-104741	55	60	inconsistent	inconsistent	ADJ
esrj-104741	55	61	categorical	categorical	ADJ
esrj-104741	55	62	markers	marker	NOUN
esrj-104741	55	63	.	.	PUNCT
esrj-104741	56	1	therefore	therefore	ADV
esrj-104741	56	2	,	,	PUNCT
esrj-104741	56	3	if	if	SCONJ
esrj-104741	56	4	the	the	DET
esrj-104741	56	5	gini	gini	PROPN
esrj-104741	56	6	index	index	NOUN
esrj-104741	56	7	gini(d	gini(d	PROPN
esrj-104741	56	8	)	)	PUNCT
esrj-104741	56	9	is	be	AUX
esrj-104741	56	10	smaller	small	ADJ
esrj-104741	56	11	,	,	PUNCT
esrj-104741	56	12	the	the	DET
esrj-104741	56	13	purity	purity	NOUN
esrj-104741	56	14	of	of	ADP
esrj-104741	56	15	dataset	dataset	NOUN
esrj-104741	56	16	d	d	NOUN
esrj-104741	56	17	is	be	AUX
esrj-104741	56	18	higher	high	ADJ
esrj-104741	56	19	.	.	PUNCT
esrj-104741	57	1	expressed	express	VERB
esrj-104741	57	2	by	by	ADP
esrj-104741	57	3	the	the	DET
esrj-104741	57	4	same	same	ADJ
esrj-104741	57	5	symbol	symbol	NOUN
esrj-104741	57	6	as	as	ADP
esrj-104741	57	7	equation	equation	NOUN
esrj-104741	57	8	2	2	NUM
esrj-104741	57	9	,	,	PUNCT
esrj-104741	57	10	the	the	DET
esrj-104741	57	11	gini	gini	PROPN
esrj-104741	57	12	index	index	NOUN
esrj-104741	57	13	of	of	ADP
esrj-104741	57	14	attribute	attribute	NOUN
esrj-104741	57	15	‘	'	PUNCT
esrj-104741	57	16	a	a	PRON
esrj-104741	57	17	’	'	PUNCT
esrj-104741	57	18	is	be	AUX
esrj-104741	57	19	defined	define	VERB
esrj-104741	57	20	as	as	SCONJ
esrj-104741	57	21	follows	follow	VERB
esrj-104741	57	22	:	:	PUNCT
esrj-104741	57	23	gini	gini	NOUN
esrj-104741	57	24	index	index	PROPN
esrj-104741	58	1	d	d	PROPN
esrj-104741	58	2	a	a	PROPN
esrj-104741	58	3	d	d	X
esrj-104741	59	1	d	d	PROPN
esrj-104741	59	2	gini	gini	PROPN
esrj-104741	59	3	d	d	PROPN
esrj-104741	59	4	v	v	PROPN
esrj-104741	59	5	v	v	NUM
esrj-104741	59	6	v	v	NOUN
esrj-104741	59	7	v	v	NOUN
esrj-104741	59	8	_	_	PUNCT
esrj-104741	60	1	(	(	PUNCT
esrj-104741	60	2	,	,	PUNCT
esrj-104741	60	3	)	)	PUNCT
esrj-104741	60	4	(	(	PUNCT
esrj-104741	60	5	)	)	PUNCT
esrj-104741	60	6	�	�	PROPN
esrj-104741	60	7	�	�	PROPN
esrj-104741	60	8	�	�	PROPN
esrj-104741	60	9	�	�	PROPN
esrj-104741	60	10	�	�	PROPN
esrj-104741	60	11	�	�	PROPN
esrj-104741	60	12	1	1	NUM
esrj-104741	60	13	(	(	PUNCT
esrj-104741	60	14	4	4	NUM
esrj-104741	60	15	)	)	PUNCT
esrj-104741	60	16	thus	thus	ADV
esrj-104741	60	17	,	,	PUNCT
esrj-104741	60	18	in	in	ADP
esrj-104741	60	19	the	the	DET
esrj-104741	60	20	candidate	candidate	NOUN
esrj-104741	60	21	set	set	NOUN
esrj-104741	60	22	of	of	ADP
esrj-104741	60	23	attributes	attribute	NOUN
esrj-104741	60	24	‘	'	PUNCT
esrj-104741	60	25	a	a	PRON
esrj-104741	60	26	’	'	PUNCT
esrj-104741	60	27	,	,	PUNCT
esrj-104741	60	28	the	the	DET
esrj-104741	60	29	attribute	attribute	NOUN
esrj-104741	60	30	that	that	PRON
esrj-104741	60	31	makes	make	VERB
esrj-104741	60	32	the	the	DET
esrj-104741	60	33	gini	gini	PROPN
esrj-104741	60	34	exponential	exponential	PROPN
esrj-104741	60	35	minimal	minimal	ADJ
esrj-104741	60	36	after	after	SCONJ
esrj-104741	60	37	the	the	DET
esrj-104741	60	38	division	division	NOUN
esrj-104741	60	39	is	be	AUX
esrj-104741	60	40	chosen	choose	VERB
esrj-104741	60	41	as	as	ADP
esrj-104741	60	42	the	the	DET
esrj-104741	60	43	optimal	optimal	ADJ
esrj-104741	60	44	division	division	NOUN
esrj-104741	60	45	attribute	attribute	NOUN
esrj-104741	60	46	,	,	PUNCT
esrj-104741	60	47	i.e.	i.e.	X
esrj-104741	60	48	,	,	PUNCT
esrj-104741	60	49	a⁎=	a⁎=	ADJ
esrj-104741	60	50	argaϵamaxgini_index(d	argaϵamaxgini_index(d	NOUN
esrj-104741	60	51	,	,	PUNCT
esrj-104741	60	52	a	a	PRON
esrj-104741	60	53	)	)	PUNCT
esrj-104741	60	54	.	.	PUNCT
esrj-104741	61	1	self	self	NOUN
esrj-104741	61	2	-	-	PUNCT
esrj-104741	61	3	service	service	NOUN
esrj-104741	61	4	sampling	sample	VERB
esrj-104741	61	5	self	self	NOUN
esrj-104741	61	6	-	-	PUNCT
esrj-104741	61	7	service	service	NOUN
esrj-104741	61	8	sampling	sampling	NOUN
esrj-104741	61	9	is	be	AUX
esrj-104741	61	10	a	a	DET
esrj-104741	61	11	standard	standard	ADJ
esrj-104741	61	12	sampling	sampling	NOUN
esrj-104741	61	13	method	method	NOUN
esrj-104741	61	14	.	.	PUNCT
esrj-104741	62	1	given	give	VERB
esrj-104741	62	2	a	a	DET
esrj-104741	62	3	dataset	dataset	NOUN
esrj-104741	62	4	d	d	NOUN
esrj-104741	62	5	containing	contain	VERB
esrj-104741	62	6	m	m	NOUN
esrj-104741	62	7	samples	sample	NOUN
esrj-104741	62	8	,	,	PUNCT
esrj-104741	62	9	we	we	PRON
esrj-104741	62	10	sample	sample	VERB
esrj-104741	62	11	it	it	PRON
esrj-104741	62	12	to	to	PART
esrj-104741	62	13	produce	produce	VERB
esrj-104741	62	14	a	a	DET
esrj-104741	62	15	dataset	dataset	NOUN
esrj-104741	62	16	d	d	NOUN
esrj-104741	62	17	’	'	PUNCT
esrj-104741	62	18	:	:	PUNCT
esrj-104741	62	19	each	each	DET
esrj-104741	62	20	time	time	NOUN
esrj-104741	62	21	a	a	DET
esrj-104741	62	22	random	random	ADJ
esrj-104741	62	23	sample	sample	NOUN
esrj-104741	62	24	is	be	AUX
esrj-104741	62	25	selected	select	VERB
esrj-104741	62	26	from	from	ADP
esrj-104741	62	27	d	d	PROPN
esrj-104741	62	28	,	,	PUNCT
esrj-104741	62	29	copied	copy	VERB
esrj-104741	62	30	into	into	ADP
esrj-104741	62	31	d	d	NOUN
esrj-104741	62	32	’	'	PUNCT
esrj-104741	62	33	,	,	PUNCT
esrj-104741	62	34	and	and	CCONJ
esrj-104741	62	35	then	then	ADV
esrj-104741	62	36	put	put	VERB
esrj-104741	62	37	the	the	DET
esrj-104741	62	38	sample	sample	NOUN
esrj-104741	62	39	71application	71application	NUM
esrj-104741	62	40	of	of	ADP
esrj-104741	62	41	random	random	ADJ
esrj-104741	62	42	forest	forest	NOUN
esrj-104741	62	43	method	method	NOUN
esrj-104741	62	44	in	in	ADP
esrj-104741	62	45	oil	oil	NOUN
esrj-104741	62	46	and	and	CCONJ
esrj-104741	62	47	water	water	NOUN
esrj-104741	62	48	layer	layer	NOUN
esrj-104741	62	49	identification	identification	NOUN
esrj-104741	62	50	of	of	ADP
esrj-104741	62	51	logging	log	VERB
esrj-104741	62	52	data	datum	NOUN
esrj-104741	62	53	:	:	PUNCT
esrj-104741	62	54	a	a	DET
esrj-104741	62	55	case	case	NOUN
esrj-104741	62	56	study	study	NOUN
esrj-104741	62	57	of	of	ADP
esrj-104741	62	58	the	the	DET
esrj-104741	62	59	liaohe	liaohe	NOUN
esrj-104741	62	60	depression	depression	NOUN
esrj-104741	62	61	back	back	ADV
esrj-104741	62	62	,	,	PUNCT
esrj-104741	62	63	making	make	VERB
esrj-104741	62	64	m	m	VERB
esrj-104741	62	65	times	time	NOUN
esrj-104741	62	66	such	such	DET
esrj-104741	62	67	a	a	DET
esrj-104741	62	68	retraction	retraction	NOUN
esrj-104741	62	69	sample	sample	NOUN
esrj-104741	62	70	,	,	PUNCT
esrj-104741	62	71	you	you	PRON
esrj-104741	62	72	can	can	AUX
esrj-104741	62	73	get	get	VERB
esrj-104741	62	74	a	a	DET
esrj-104741	62	75	dataset	dataset	NOUN
esrj-104741	62	76	d	d	NOUN
esrj-104741	62	77	’	'	PUNCT
esrj-104741	62	78	with	with	ADP
esrj-104741	62	79	a	a	DET
esrj-104741	62	80	sample	sample	NOUN
esrj-104741	62	81	count	count	NOUN
esrj-104741	62	82	of	of	ADP
esrj-104741	62	83	m	m	PROPN
esrj-104741	62	84	,	,	PUNCT
esrj-104741	62	85	which	which	PRON
esrj-104741	62	86	is	be	AUX
esrj-104741	62	87	the	the	DET
esrj-104741	62	88	result	result	NOUN
esrj-104741	62	89	of	of	ADP
esrj-104741	62	90	self	self	NOUN
esrj-104741	62	91	-	-	PUNCT
esrj-104741	62	92	service	service	NOUN
esrj-104741	62	93	sampling	sampling	NOUN
esrj-104741	62	94	.	.	PUNCT
esrj-104741	63	1	a	a	DET
esrj-104741	63	2	part	part	NOUN
esrj-104741	63	3	of	of	ADP
esrj-104741	63	4	the	the	DET
esrj-104741	63	5	sample	sample	NOUN
esrj-104741	63	6	in	in	ADP
esrj-104741	63	7	d	d	PROPN
esrj-104741	63	8	appears	appear	VERB
esrj-104741	63	9	multiple	multiple	ADJ
esrj-104741	63	10	times	time	NOUN
esrj-104741	63	11	in	in	ADP
esrj-104741	63	12	the	the	DET
esrj-104741	63	13	d	d	NOUN
esrj-104741	63	14	’	'	PUNCT
esrj-104741	63	15	,	,	PUNCT
esrj-104741	63	16	and	and	CCONJ
esrj-104741	63	17	a	a	DET
esrj-104741	63	18	part	part	NOUN
esrj-104741	63	19	does	do	AUX
esrj-104741	63	20	not	not	PART
esrj-104741	63	21	appear	appear	VERB
esrj-104741	63	22	.	.	PUNCT
esrj-104741	64	1	to	to	PART
esrj-104741	64	2	make	make	VERB
esrj-104741	64	3	a	a	DET
esrj-104741	64	4	simple	simple	ADJ
esrj-104741	64	5	estimate	estimate	NOUN
esrj-104741	64	6	,	,	PUNCT
esrj-104741	64	7	the	the	DET
esrj-104741	64	8	probability	probability	NOUN
esrj-104741	64	9	that	that	SCONJ
esrj-104741	64	10	a	a	DET
esrj-104741	64	11	sample	sample	NOUN
esrj-104741	64	12	will	will	AUX
esrj-104741	64	13	never	never	ADV
esrj-104741	64	14	be	be	AUX
esrj-104741	64	15	taken	take	VERB
esrj-104741	64	16	in	in	ADP
esrj-104741	64	17	m	m	NOUN
esrj-104741	64	18	-	-	NOUN
esrj-104741	64	19	samples	sample	NOUN
esrj-104741	64	20	is	be	AUX
esrj-104741	64	21	that	that	SCONJ
esrj-104741	64	22	the	the	DET
esrj-104741	64	23	limit	limit	NOUN
esrj-104741	64	24	is	be	AUX
esrj-104741	64	25	available	available	ADJ
esrj-104741	64	26	(	(	PUNCT
esrj-104741	64	27	)	)	SYM
esrj-104741	64	28	1	1	NUM
esrj-104741	64	29	1	1	NUM
esrj-104741	64	30	−−	−−	NOUN
esrj-104741	64	31	m	m	NOUN
esrj-104741	64	32	m	m	NOUN
esrj-104741	64	33	.	.	PUNCT
esrj-104741	65	1	lim	lim	PROPN
esrj-104741	65	2	(	(	PUNCT
esrj-104741	65	3	)	)	PUNCT
esrj-104741	65	4	.	.	PUNCT
esrj-104741	66	1	m	m	VERB
esrj-104741	66	2	m	m	VERB
esrj-104741	66	3	m	m	VERB
esrj-104741	66	4	e	e	NOUN
esrj-104741	66	5	�	�	PROPN
esrj-104741	66	6	�	�	PROPN
esrj-104741	66	7	�	�	PROPN
esrj-104741	66	8	�	�	PROPN
esrj-104741	66	9	�	�	PROPN
esrj-104741	66	10	�	�	PROPN
esrj-104741	66	11	�	�	PROPN
esrj-104741	66	12	�	�	PROPN
esrj-104741	66	13	�	�	PROPN
esrj-104741	66	14	�	�	PROPN
esrj-104741	66	15	1	1	NUM
esrj-104741	66	16	1	1	NUM
esrj-104741	66	17	1	1	NUM
esrj-104741	66	18	0	0	NUM
esrj-104741	66	19	368	368	NUM
esrj-104741	66	20	(	(	PUNCT
esrj-104741	66	21	5	5	NUM
esrj-104741	66	22	)	)	PUNCT
esrj-104741	66	23	that	that	PRON
esrj-104741	66	24	is	be	AUX
esrj-104741	66	25	,	,	PUNCT
esrj-104741	66	26	through	through	ADP
esrj-104741	66	27	self	self	NOUN
esrj-104741	66	28	-	-	PUNCT
esrj-104741	66	29	service	service	NOUN
esrj-104741	66	30	sampling	sampling	NOUN
esrj-104741	66	31	,	,	PUNCT
esrj-104741	66	32	about	about	ADV
esrj-104741	66	33	36.8	36.8	NUM
esrj-104741	66	34	%	%	NOUN
esrj-104741	66	35	of	of	ADP
esrj-104741	66	36	the	the	DET
esrj-104741	66	37	samples	sample	NOUN
esrj-104741	66	38	in	in	ADP
esrj-104741	66	39	the	the	DET
esrj-104741	66	40	original	original	ADJ
esrj-104741	66	41	dataset	dataset	NOUN
esrj-104741	66	42	d	d	NOUN
esrj-104741	66	43	did	do	AUX
esrj-104741	66	44	not	not	PART
esrj-104741	66	45	appear	appear	VERB
esrj-104741	66	46	in	in	ADP
esrj-104741	66	47	the	the	DET
esrj-104741	66	48	sampling	sample	VERB
esrj-104741	66	49	dataset	dataset	NOUN
esrj-104741	66	50	d	d	NOUN
esrj-104741	66	51	’	'	PUNCT
esrj-104741	66	52	.	.	PUNCT
esrj-104741	67	1	so	so	ADV
esrj-104741	67	2	,	,	PUNCT
esrj-104741	67	3	we	we	PRON
esrj-104741	67	4	can	can	AUX
esrj-104741	67	5	train	train	VERB
esrj-104741	67	6	the	the	DET
esrj-104741	67	7	model	model	NOUN
esrj-104741	67	8	with	with	ADP
esrj-104741	67	9	d	d	NOUN
esrj-104741	67	10	’	'	PUNCT
esrj-104741	67	11	as	as	SCONJ
esrj-104741	67	12	the	the	DET
esrj-104741	67	13	training	training	NOUN
esrj-104741	67	14	set	set	NOUN
esrj-104741	67	15	and	and	CCONJ
esrj-104741	67	16	d	d	NOUN
esrj-104741	67	17	-	-	PUNCT
esrj-104741	67	18	d	d	NOUN
esrj-104741	67	19	’	'	PUNCT
esrj-104741	67	20	as	as	ADP
esrj-104741	67	21	the	the	DET
esrj-104741	67	22	test	test	NOUN
esrj-104741	67	23	set	set	NOUN
esrj-104741	67	24	.	.	PUNCT
esrj-104741	68	1	then	then	ADV
esrj-104741	68	2	,	,	PUNCT
esrj-104741	68	3	we	we	PRON
esrj-104741	68	4	use	use	VERB
esrj-104741	68	5	m	m	VERB
esrj-104741	68	6	training	training	NOUN
esrj-104741	68	7	samples	sample	NOUN
esrj-104741	68	8	on	on	ADP
esrj-104741	68	9	both	both	CCONJ
esrj-104741	68	10	the	the	DET
esrj-104741	68	11	model	model	NOUN
esrj-104741	68	12	of	of	ADP
esrj-104741	68	13	the	the	DET
esrj-104741	68	14	actual	actual	ADJ
esrj-104741	68	15	evaluation	evaluation	NOUN
esrj-104741	68	16	and	and	CCONJ
esrj-104741	68	17	the	the	DET
esrj-104741	68	18	expectation	expectation	NOUN
esrj-104741	68	19	evaluation	evaluation	NOUN
esrj-104741	68	20	.	.	PUNCT
esrj-104741	69	1	about	about	ADV
esrj-104741	69	2	a	a	DET
esrj-104741	69	3	third	third	NOUN
esrj-104741	69	4	of	of	ADP
esrj-104741	69	5	the	the	DET
esrj-104741	69	6	samples	sample	NOUN
esrj-104741	69	7	still	still	ADV
esrj-104741	69	8	do	do	AUX
esrj-104741	69	9	not	not	PART
esrj-104741	69	10	appear	appear	VERB
esrj-104741	69	11	in	in	ADP
esrj-104741	69	12	the	the	DET
esrj-104741	69	13	training	training	NOUN
esrj-104741	69	14	set	set	VERB
esrj-104741	69	15	to	to	PART
esrj-104741	69	16	test	test	VERB
esrj-104741	69	17	,	,	PUNCT
esrj-104741	69	18	and	and	CCONJ
esrj-104741	69	19	such	such	ADJ
esrj-104741	69	20	test	test	NOUN
esrj-104741	69	21	results	result	NOUN
esrj-104741	69	22	are	be	AUX
esrj-104741	69	23	also	also	ADV
esrj-104741	69	24	known	know	VERB
esrj-104741	69	25	as	as	ADP
esrj-104741	69	26	“	"	PUNCT
esrj-104741	69	27	out	out	ADP
esrj-104741	69	28	-	-	PUNCT
esrj-104741	69	29	of	of	ADP
esrj-104741	69	30	-	-	PUNCT
esrj-104741	69	31	bag	bag	NOUN
esrj-104741	69	32	estimates	estimate	NOUN
esrj-104741	69	33	.	.	PUNCT
esrj-104741	69	34	”	"	PUNCT
esrj-104741	70	1	random	random	ADJ
esrj-104741	70	2	forest	forest	NOUN
esrj-104741	70	3	random	random	ADJ
esrj-104741	70	4	forest	forest	NOUN
esrj-104741	70	5	(	(	PUNCT
esrj-104741	70	6	rf	rf	NOUN
esrj-104741	70	7	)	)	PUNCT
esrj-104741	70	8	is	be	AUX
esrj-104741	70	9	an	an	DET
esrj-104741	70	10	extension	extension	NOUN
esrj-104741	70	11	of	of	ADP
esrj-104741	70	12	bagging	bagging	NOUN
esrj-104741	70	13	(	(	PUNCT
esrj-104741	70	14	breiman	breiman	NOUN
esrj-104741	70	15	,	,	PUNCT
esrj-104741	70	16	2001	2001	NUM
esrj-104741	70	17	;	;	PUNCT
esrj-104741	70	18	zhou	zhou	PROPN
esrj-104741	70	19	et	et	PROPN
esrj-104741	70	20	al	al	PROPN
esrj-104741	70	21	.	.	PROPN
esrj-104741	70	22	,	,	PUNCT
esrj-104741	70	23	2017	2017	NUM
esrj-104741	70	24	;	;	PUNCT
esrj-104741	70	25	lai	lai	PROPN
esrj-104741	70	26	et	et	PROPN
esrj-104741	70	27	al	al	PROPN
esrj-104741	70	28	.	.	PROPN
esrj-104741	70	29	,	,	PUNCT
esrj-104741	70	30	2021	2021	NUM
esrj-104741	70	31	;	;	PUNCT
esrj-104741	70	32	zhong	zhong	PROPN
esrj-104741	70	33	et	et	PROPN
esrj-104741	70	34	al	al	PROPN
esrj-104741	70	35	.	.	PROPN
esrj-104741	70	36	,	,	PUNCT
esrj-104741	70	37	2022	2022	NUM
esrj-104741	70	38	;	;	PUNCT
esrj-104741	70	39	kang	kang	PROPN
esrj-104741	70	40	,	,	PUNCT
esrj-104741	70	41	&	&	CCONJ
esrj-104741	70	42	lu	lu	PROPN
esrj-104741	70	43	,	,	PUNCT
esrj-104741	70	44	2020	2020	NUM
esrj-104741	70	45	)	)	PUNCT
esrj-104741	70	46	.	.	PUNCT
esrj-104741	71	1	rf	rf	PRON
esrj-104741	71	2	is	be	AUX
esrj-104741	71	3	based	base	VERB
esrj-104741	71	4	on	on	ADP
esrj-104741	71	5	a	a	DET
esrj-104741	71	6	decision	decision	NOUN
esrj-104741	71	7	tree	tree	NOUN
esrj-104741	71	8	-	-	PUNCT
esrj-104741	71	9	based	base	VERB
esrj-104741	71	10	learner	learner	NOUN
esrj-104741	71	11	,	,	PUNCT
esrj-104741	71	12	built	build	VERB
esrj-104741	71	13	on	on	ADP
esrj-104741	71	14	top	top	NOUN
esrj-104741	71	15	of	of	ADP
esrj-104741	71	16	bagging	bagging	NOUN
esrj-104741	71	17	,	,	PUNCT
esrj-104741	71	18	and	and	CCONJ
esrj-104741	71	19	introduces	introduce	VERB
esrj-104741	71	20	a	a	DET
esrj-104741	71	21	new	new	ADJ
esrj-104741	71	22	feature	feature	NOUN
esrj-104741	71	23	of	of	ADP
esrj-104741	71	24	random	random	ADJ
esrj-104741	71	25	attribute	attribute	NOUN
esrj-104741	71	26	selection	selection	NOUN
esrj-104741	71	27	in	in	ADP
esrj-104741	71	28	individual	individual	ADJ
esrj-104741	71	29	learner	learner	NOUN
esrj-104741	71	30	training	training	NOUN
esrj-104741	71	31	.	.	PUNCT
esrj-104741	72	1	during	during	ADP
esrj-104741	72	2	training	training	NOUN
esrj-104741	72	3	,	,	PUNCT
esrj-104741	72	4	the	the	DET
esrj-104741	72	5	decision	decision	NOUN
esrj-104741	72	6	tree	tree	NOUN
esrj-104741	72	7	is	be	AUX
esrj-104741	72	8	divided	divide	VERB
esrj-104741	72	9	according	accord	VERB
esrj-104741	72	10	to	to	ADP
esrj-104741	72	11	the	the	DET
esrj-104741	72	12	gini	gini	PROPN
esrj-104741	72	13	index	index	NOUN
esrj-104741	72	14	or	or	CCONJ
esrj-104741	72	15	information	information	NOUN
esrj-104741	72	16	gain	gain	NOUN
esrj-104741	72	17	of	of	ADP
esrj-104741	72	18	the	the	DET
esrj-104741	72	19	current	current	ADJ
esrj-104741	72	20	node	node	NOUN
esrj-104741	72	21	,	,	PUNCT
esrj-104741	72	22	and	and	CCONJ
esrj-104741	72	23	the	the	DET
esrj-104741	72	24	optimal	optimal	ADJ
esrj-104741	72	25	attribute	attribute	NOUN
esrj-104741	72	26	is	be	AUX
esrj-104741	72	27	selected	select	VERB
esrj-104741	72	28	,	,	PUNCT
esrj-104741	72	29	while	while	SCONJ
esrj-104741	72	30	the	the	DET
esrj-104741	72	31	random	random	ADJ
esrj-104741	72	32	forest	forest	NOUN
esrj-104741	72	33	is	be	AUX
esrj-104741	72	34	different	different	ADJ
esrj-104741	72	35	.	.	PUNCT
esrj-104741	73	1	in	in	ADP
esrj-104741	73	2	the	the	DET
esrj-104741	73	3	process	process	NOUN
esrj-104741	73	4	of	of	ADP
esrj-104741	73	5	training	train	VERB
esrj-104741	73	6	each	each	DET
esrj-104741	73	7	base	base	NOUN
esrj-104741	73	8	learner	learner	NOUN
esrj-104741	73	9	,	,	PUNCT
esrj-104741	73	10	the	the	DET
esrj-104741	73	11	random	random	ADJ
esrj-104741	73	12	forest	forest	NOUN
esrj-104741	73	13	arbitrarily	arbitrarily	ADV
esrj-104741	73	14	selects	select	VERB
esrj-104741	73	15	k	k	PROPN
esrj-104741	73	16	from	from	ADP
esrj-104741	73	17	all	all	DET
esrj-104741	73	18	the	the	DET
esrj-104741	73	19	features	feature	NOUN
esrj-104741	73	20	(	(	PUNCT
esrj-104741	73	21	attributes	attribute	NOUN
esrj-104741	73	22	)	)	PUNCT
esrj-104741	73	23	,	,	PUNCT
esrj-104741	73	24	and	and	CCONJ
esrj-104741	73	25	uses	use	VERB
esrj-104741	73	26	this	this	PRON
esrj-104741	73	27	k	k	PROPN
esrj-104741	73	28	features	feature	VERB
esrj-104741	73	29	to	to	PART
esrj-104741	73	30	train	train	VERB
esrj-104741	73	31	the	the	DET
esrj-104741	73	32	base	base	NOUN
esrj-104741	73	33	learner	learner	NOUN
esrj-104741	73	34	,	,	PUNCT
esrj-104741	73	35	and	and	CCONJ
esrj-104741	73	36	the	the	DET
esrj-104741	73	37	training	training	NOUN
esrj-104741	73	38	process	process	NOUN
esrj-104741	73	39	is	be	AUX
esrj-104741	73	40	the	the	DET
esrj-104741	73	41	same	same	ADJ
esrj-104741	73	42	as	as	ADP
esrj-104741	73	43	the	the	DET
esrj-104741	73	44	training	training	NOUN
esrj-104741	73	45	decision	decision	NOUN
esrj-104741	73	46	tree	tree	NOUN
esrj-104741	73	47	,	,	PUNCT
esrj-104741	73	48	using	use	VERB
esrj-104741	73	49	the	the	DET
esrj-104741	73	50	partition	partition	NOUN
esrj-104741	73	51	criteria	criterion	NOUN
esrj-104741	73	52	to	to	PART
esrj-104741	73	53	divide	divide	VERB
esrj-104741	73	54	the	the	DET
esrj-104741	73	55	samples	sample	NOUN
esrj-104741	73	56	in	in	ADP
esrj-104741	73	57	the	the	DET
esrj-104741	73	58	node	node	NOUN
esrj-104741	73	59	.	.	PUNCT
esrj-104741	74	1	the	the	DET
esrj-104741	74	2	parameter	parameter	NOUN
esrj-104741	74	3	k	k	PROPN
esrj-104741	74	4	represents	represent	VERB
esrj-104741	74	5	the	the	DET
esrj-104741	74	6	randomness	randomness	NOUN
esrj-104741	74	7	of	of	ADP
esrj-104741	74	8	feature	feature	NOUN
esrj-104741	74	9	selection	selection	NOUN
esrj-104741	74	10	and	and	CCONJ
esrj-104741	74	11	controls	control	VERB
esrj-104741	74	12	the	the	DET
esrj-104741	74	13	degree	degree	NOUN
esrj-104741	74	14	of	of	ADP
esrj-104741	74	15	introduction	introduction	NOUN
esrj-104741	74	16	of	of	ADP
esrj-104741	74	17	randomness	randomness	NOUN
esrj-104741	74	18	.	.	PUNCT
esrj-104741	75	1	when	when	SCONJ
esrj-104741	75	2	k	k	PROPN
esrj-104741	75	3	is	be	AUX
esrj-104741	75	4	equal	equal	ADJ
esrj-104741	75	5	to	to	ADP
esrj-104741	75	6	the	the	DET
esrj-104741	75	7	number	number	NOUN
esrj-104741	75	8	of	of	ADP
esrj-104741	75	9	features	feature	NOUN
esrj-104741	75	10	in	in	ADP
esrj-104741	75	11	the	the	DET
esrj-104741	75	12	dataset	dataset	NOUN
esrj-104741	75	13	,	,	PUNCT
esrj-104741	75	14	the	the	DET
esrj-104741	75	15	base	base	NOUN
esrj-104741	75	16	learner	learner	NOUN
esrj-104741	75	17	is	be	AUX
esrj-104741	75	18	the	the	DET
esrj-104741	75	19	same	same	ADJ
esrj-104741	75	20	as	as	ADP
esrj-104741	75	21	the	the	DET
esrj-104741	75	22	traditional	traditional	ADJ
esrj-104741	75	23	decision	decision	NOUN
esrj-104741	75	24	tree	tree	NOUN
esrj-104741	75	25	.	.	PUNCT
esrj-104741	76	1	when	when	SCONJ
esrj-104741	76	2	k=1	k=1	NOUN
esrj-104741	76	3	,	,	PUNCT
esrj-104741	76	4	only	only	ADV
esrj-104741	76	5	one	one	NUM
esrj-104741	76	6	feature	feature	NOUN
esrj-104741	76	7	is	be	AUX
esrj-104741	76	8	divided	divide	VERB
esrj-104741	76	9	at	at	ADP
esrj-104741	76	10	a	a	DET
esrj-104741	76	11	time	time	NOUN
esrj-104741	76	12	.	.	PUNCT
esrj-104741	77	1	in	in	ADP
esrj-104741	77	2	general	general	ADJ
esrj-104741	77	3	,	,	PUNCT
esrj-104741	77	4	it	it	PRON
esrj-104741	77	5	is	be	AUX
esrj-104741	77	6	recommended	recommend	VERB
esrj-104741	77	7	to	to	PART
esrj-104741	77	8	take	take	VERB
esrj-104741	77	9	or	or	CCONJ
esrj-104741	77	10	for	for	ADP
esrj-104741	77	11	k	k	PROPN
esrj-104741	77	12	(	(	PUNCT
esrj-104741	77	13	d	d	NOUN
esrj-104741	77	14	is	be	AUX
esrj-104741	77	15	the	the	DET
esrj-104741	77	16	number	number	NOUN
esrj-104741	77	17	of	of	ADP
esrj-104741	77	18	features	feature	NOUN
esrj-104741	77	19	)	)	PUNCT
esrj-104741	77	20	(	(	PUNCT
esrj-104741	77	21	breiman	breiman	NOUN
esrj-104741	77	22	,	,	PUNCT
esrj-104741	77	23	2001	2001	NUM
esrj-104741	77	24	)	)	PUNCT
esrj-104741	77	25	.	.	PUNCT
esrj-104741	78	1	the	the	DET
esrj-104741	78	2	random	random	ADJ
esrj-104741	78	3	forest	forest	NOUN
esrj-104741	78	4	algorithm	algorithm	NOUN
esrj-104741	78	5	is	be	AUX
esrj-104741	78	6	simple	simple	ADJ
esrj-104741	78	7	and	and	CCONJ
esrj-104741	78	8	easy	easy	ADJ
esrj-104741	78	9	to	to	PART
esrj-104741	78	10	implement	implement	VERB
esrj-104741	78	11	,	,	PUNCT
esrj-104741	78	12	and	and	CCONJ
esrj-104741	78	13	is	be	AUX
esrj-104741	78	14	known	know	VERB
esrj-104741	78	15	as	as	ADP
esrj-104741	78	16	the	the	DET
esrj-104741	78	17	“	"	PUNCT
esrj-104741	78	18	representative	representative	ADJ
esrj-104741	78	19	method	method	NOUN
esrj-104741	78	20	of	of	ADP
esrj-104741	78	21	ensemble	ensemble	ADJ
esrj-104741	78	22	learning	learning	NOUN
esrj-104741	78	23	”	"	PUNCT
esrj-104741	78	24	because	because	SCONJ
esrj-104741	78	25	of	of	ADP
esrj-104741	78	26	its	its	PRON
esrj-104741	78	27	strong	strong	ADJ
esrj-104741	78	28	performance	performance	NOUN
esrj-104741	78	29	in	in	ADP
esrj-104741	78	30	many	many	ADJ
esrj-104741	78	31	tasks	task	NOUN
esrj-104741	78	32	.	.	PUNCT
esrj-104741	79	1	compared	compare	VERB
esrj-104741	79	2	to	to	ADP
esrj-104741	79	3	bagging	bagging	NOUN
esrj-104741	79	4	,	,	PUNCT
esrj-104741	79	5	random	random	ADJ
esrj-104741	79	6	forests	forest	NOUN
esrj-104741	79	7	not	not	PART
esrj-104741	79	8	only	only	ADV
esrj-104741	79	9	use	use	VERB
esrj-104741	79	10	sampling	sample	VERB
esrj-104741	79	11	methods	method	NOUN
esrj-104741	79	12	,	,	PUNCT
esrj-104741	79	13	but	but	CCONJ
esrj-104741	79	14	also	also	ADV
esrj-104741	79	15	perturb	perturb	VERB
esrj-104741	79	16	the	the	DET
esrj-104741	79	17	training	training	NOUN
esrj-104741	79	18	set	set	NOUN
esrj-104741	79	19	.	.	PUNCT
esrj-104741	80	1	adding	add	VERB
esrj-104741	80	2	randomness	randomness	NOUN
esrj-104741	80	3	,	,	PUNCT
esrj-104741	80	4	the	the	DET
esrj-104741	80	5	base	base	ADJ
esrj-104741	80	6	learner	learner	NOUN
esrj-104741	80	7	is	be	AUX
esrj-104741	80	8	also	also	ADV
esrj-104741	80	9	trained	train	VERB
esrj-104741	80	10	by	by	ADP
esrj-104741	80	11	randomly	randomly	ADV
esrj-104741	80	12	selecting	select	VERB
esrj-104741	80	13	features	feature	NOUN
esrj-104741	80	14	.	.	PUNCT
esrj-104741	81	1	introducing	introduce	VERB
esrj-104741	81	2	randomness	randomness	NOUN
esrj-104741	81	3	,	,	PUNCT
esrj-104741	81	4	which	which	PRON
esrj-104741	81	5	is	be	AUX
esrj-104741	81	6	the	the	DET
esrj-104741	81	7	data	data	NOUN
esrj-104741	81	8	sample	sample	NOUN
esrj-104741	81	9	perturbation	perturbation	NOUN
esrj-104741	81	10	and	and	CCONJ
esrj-104741	81	11	input	input	NOUN
esrj-104741	81	12	attribute	attribute	NOUN
esrj-104741	81	13	perturbation	perturbation	NOUN
esrj-104741	81	14	of	of	ADP
esrj-104741	81	15	random	random	ADJ
esrj-104741	81	16	forest	forest	NOUN
esrj-104741	81	17	,	,	PUNCT
esrj-104741	81	18	makes	make	VERB
esrj-104741	81	19	each	each	DET
esrj-104741	81	20	basic	basic	ADJ
esrj-104741	81	21	learner	learner	NOUN
esrj-104741	81	22	in	in	ADP
esrj-104741	81	23	random	random	ADJ
esrj-104741	81	24	forest	forest	NOUN
esrj-104741	81	25	very	very	ADV
esrj-104741	81	26	different	different	ADJ
esrj-104741	81	27	,	,	PUNCT
esrj-104741	81	28	and	and	CCONJ
esrj-104741	81	29	finally	finally	ADV
esrj-104741	81	30	improves	improve	VERB
esrj-104741	81	31	the	the	DET
esrj-104741	81	32	generalization	generalization	NOUN
esrj-104741	81	33	performance	performance	NOUN
esrj-104741	81	34	of	of	ADP
esrj-104741	81	35	ensemble	ensemble	ADJ
esrj-104741	81	36	.	.	PUNCT
esrj-104741	82	1	2	2	X
esrj-104741	82	2	.	.	X
esrj-104741	82	3	data	datum	NOUN
esrj-104741	82	4	preprocessing	preprocessing	NOUN
esrj-104741	82	5	in	in	ADP
esrj-104741	82	6	this	this	DET
esrj-104741	82	7	paper	paper	NOUN
esrj-104741	82	8	,	,	PUNCT
esrj-104741	82	9	the	the	DET
esrj-104741	82	10	nmr	nmr	NOUN
esrj-104741	82	11	logging	log	VERB
esrj-104741	82	12	data	datum	NOUN
esrj-104741	82	13	and	and	CCONJ
esrj-104741	82	14	geochemical	geochemical	ADJ
esrj-104741	82	15	logging	logging	NOUN
esrj-104741	82	16	data	datum	NOUN
esrj-104741	82	17	in	in	ADP
esrj-104741	82	18	the	the	DET
esrj-104741	82	19	eastern	eastern	ADJ
esrj-104741	82	20	and	and	CCONJ
esrj-104741	82	21	western	western	ADJ
esrj-104741	82	22	liaoning	liaoning	NOUN
esrj-104741	82	23	rivers	river	NOUN
esrj-104741	82	24	are	be	AUX
esrj-104741	82	25	taken	take	VERB
esrj-104741	82	26	as	as	ADP
esrj-104741	82	27	examples	example	NOUN
esrj-104741	82	28	,	,	PUNCT
esrj-104741	82	29	and	and	CCONJ
esrj-104741	82	30	the	the	DET
esrj-104741	82	31	oil	oil	NOUN
esrj-104741	82	32	and	and	CCONJ
esrj-104741	82	33	water	water	NOUN
esrj-104741	82	34	layers	layer	NOUN
esrj-104741	82	35	are	be	AUX
esrj-104741	82	36	identified	identify	VERB
esrj-104741	82	37	by	by	ADP
esrj-104741	82	38	using	use	VERB
esrj-104741	82	39	a	a	DET
esrj-104741	82	40	random	random	ADJ
esrj-104741	82	41	forest	forest	NOUN
esrj-104741	82	42	algorithm	algorithm	NOUN
esrj-104741	82	43	.	.	PUNCT
esrj-104741	83	1	there	there	PRON
esrj-104741	83	2	are	be	VERB
esrj-104741	83	3	a	a	DET
esrj-104741	83	4	total	total	NOUN
esrj-104741	83	5	of	of	ADP
esrj-104741	83	6	79	79	NUM
esrj-104741	83	7	samples	sample	NOUN
esrj-104741	83	8	in	in	ADP
esrj-104741	83	9	the	the	DET
esrj-104741	83	10	eastern	eastern	ADJ
esrj-104741	83	11	part	part	NOUN
esrj-104741	83	12	of	of	ADP
esrj-104741	83	13	the	the	DET
esrj-104741	83	14	liaohe	liaohe	NOUN
esrj-104741	83	15	river	river	NOUN
esrj-104741	83	16	and	and	CCONJ
esrj-104741	83	17	99	99	NUM
esrj-104741	83	18	samples	sample	NOUN
esrj-104741	83	19	in	in	ADP
esrj-104741	83	20	the	the	DET
esrj-104741	83	21	western	western	ADJ
esrj-104741	83	22	part	part	NOUN
esrj-104741	83	23	of	of	ADP
esrj-104741	83	24	the	the	DET
esrj-104741	83	25	liaohe	liaohe	NOUN
esrj-104741	83	26	river	river	PROPN
esrj-104741	83	27	.	.	PUNCT
esrj-104741	84	1	a	a	DET
esrj-104741	84	2	total	total	NOUN
esrj-104741	84	3	of	of	ADP
esrj-104741	84	4	9	9	NUM
esrj-104741	84	5	features	feature	NOUN
esrj-104741	84	6	of	of	ADP
esrj-104741	84	7	lithology	lithology	NOUN
esrj-104741	84	8	,	,	PUNCT
esrj-104741	84	9	porosity	porosity	NOUN
esrj-104741	84	10	,	,	PUNCT
esrj-104741	84	11	permeability	permeability	NOUN
esrj-104741	84	12	,	,	PUNCT
esrj-104741	84	13	movable	movable	ADJ
esrj-104741	84	14	fluid	fluid	NOUN
esrj-104741	84	15	,	,	PUNCT
esrj-104741	84	16	oil	oil	NOUN
esrj-104741	84	17	saturation	saturation	NOUN
esrj-104741	84	18	,	,	PUNCT
esrj-104741	84	19	s0	s0	PROPN
esrj-104741	84	20	,	,	PUNCT
esrj-104741	84	21	s1	s1	NOUN
esrj-104741	84	22	,	,	PUNCT
esrj-104741	84	23	s2	s2	NOUN
esrj-104741	84	24	,	,	PUNCT
esrj-104741	84	25	and	and	CCONJ
esrj-104741	84	26	tmax	tmax	ADV
esrj-104741	84	27	were	be	AUX
esrj-104741	84	28	selected	select	VERB
esrj-104741	84	29	for	for	ADP
esrj-104741	84	30	analysis	analysis	NOUN
esrj-104741	84	31	,	,	PUNCT
esrj-104741	84	32	and	and	CCONJ
esrj-104741	84	33	the	the	DET
esrj-104741	84	34	appropriate	appropriate	ADJ
esrj-104741	84	35	features	feature	NOUN
esrj-104741	84	36	were	be	AUX
esrj-104741	84	37	selected	select	VERB
esrj-104741	84	38	,	,	PUNCT
esrj-104741	84	39	which	which	PRON
esrj-104741	84	40	had	have	VERB
esrj-104741	84	41	a	a	DET
esrj-104741	84	42	great	great	ADJ
esrj-104741	84	43	impact	impact	NOUN
esrj-104741	84	44	on	on	ADP
esrj-104741	84	45	the	the	DET
esrj-104741	84	46	accuracy	accuracy	NOUN
esrj-104741	84	47	of	of	ADP
esrj-104741	84	48	the	the	DET
esrj-104741	84	49	model	model	NOUN
esrj-104741	84	50	.	.	PUNCT
esrj-104741	85	1	2.1	2.1	NUM
esrj-104741	85	2	added	add	VERB
esrj-104741	85	3	oil	oil	NOUN
esrj-104741	85	4	level	level	NOUN
esrj-104741	85	5	features	feature	VERB
esrj-104741	85	6	through	through	ADP
esrj-104741	85	7	the	the	DET
esrj-104741	85	8	observation	observation	NOUN
esrj-104741	85	9	data	datum	NOUN
esrj-104741	85	10	,	,	PUNCT
esrj-104741	85	11	it	it	PRON
esrj-104741	85	12	can	can	AUX
esrj-104741	85	13	be	be	AUX
esrj-104741	85	14	found	find	VERB
esrj-104741	85	15	that	that	SCONJ
esrj-104741	85	16	the	the	DET
esrj-104741	85	17	lithology	lithology	NOUN
esrj-104741	85	18	of	of	ADP
esrj-104741	85	19	some	some	DET
esrj-104741	85	20	layers	layer	NOUN
esrj-104741	85	21	is	be	AUX
esrj-104741	85	22	igneous	igneous	ADJ
esrj-104741	85	23	,	,	PUNCT
esrj-104741	85	24	but	but	CCONJ
esrj-104741	85	25	most	most	ADJ
esrj-104741	85	26	of	of	ADP
esrj-104741	85	27	the	the	DET
esrj-104741	85	28	lithology	lithology	NOUN
esrj-104741	85	29	of	of	ADP
esrj-104741	85	30	the	the	DET
esrj-104741	85	31	layers	layer	NOUN
esrj-104741	85	32	is	be	AUX
esrj-104741	85	33	sedimentary	sedimentary	ADJ
esrj-104741	85	34	,	,	PUNCT
esrj-104741	85	35	and	and	CCONJ
esrj-104741	85	36	there	there	PRON
esrj-104741	85	37	is	be	VERB
esrj-104741	85	38	an	an	DET
esrj-104741	85	39	oil	oil	NOUN
esrj-104741	85	40	-	-	PUNCT
esrj-104741	85	41	bearing	bear	VERB
esrj-104741	85	42	level	level	NOUN
esrj-104741	85	43	in	in	ADP
esrj-104741	85	44	the	the	DET
esrj-104741	85	45	lithology	lithology	NOUN
esrj-104741	85	46	of	of	ADP
esrj-104741	85	47	the	the	DET
esrj-104741	85	48	sedimentary	sedimentary	ADJ
esrj-104741	85	49	rock	rock	NOUN
esrj-104741	85	50	,	,	PUNCT
esrj-104741	85	51	and	and	CCONJ
esrj-104741	85	52	since	since	SCONJ
esrj-104741	85	53	the	the	DET
esrj-104741	85	54	oil	oil	NOUN
esrj-104741	85	55	-	-	PUNCT
esrj-104741	85	56	bearing	bear	VERB
esrj-104741	85	57	level	level	NOUN
esrj-104741	85	58	is	be	AUX
esrj-104741	85	59	crucial	crucial	ADJ
esrj-104741	85	60	to	to	ADP
esrj-104741	85	61	the	the	DET
esrj-104741	85	62	analysis	analysis	NOUN
esrj-104741	85	63	of	of	ADP
esrj-104741	85	64	the	the	DET
esrj-104741	85	65	oil	oil	NOUN
esrj-104741	85	66	-	-	PUNCT
esrj-104741	85	67	bearing	bear	VERB
esrj-104741	85	68	water	water	NOUN
esrj-104741	85	69	layer	layer	NOUN
esrj-104741	85	70	,	,	PUNCT
esrj-104741	85	71	it	it	PRON
esrj-104741	85	72	is	be	AUX
esrj-104741	85	73	necessary	necessary	ADJ
esrj-104741	85	74	to	to	PART
esrj-104741	85	75	convert	convert	VERB
esrj-104741	85	76	the	the	DET
esrj-104741	85	77	oil	oil	NOUN
esrj-104741	85	78	-	-	PUNCT
esrj-104741	85	79	bearing	bear	VERB
esrj-104741	85	80	level	level	NOUN
esrj-104741	85	81	to	to	ADP
esrj-104741	85	82	a	a	DET
esrj-104741	85	83	numerical	numerical	ADJ
esrj-104741	85	84	format	format	NOUN
esrj-104741	85	85	.	.	PUNCT
esrj-104741	86	1	according	accord	VERB
esrj-104741	86	2	to	to	ADP
esrj-104741	86	3	the	the	DET
esrj-104741	86	4	industry	industry	NOUN
esrj-104741	86	5	standard	standard	NOUN
esrj-104741	86	6	of	of	ADP
esrj-104741	86	7	89	89	NUM
esrj-104741	86	8	years	year	NOUN
esrj-104741	86	9	(	(	PUNCT
esrj-104741	86	10	syt536489	syt536489	NOUN
esrj-104741	86	11	)	)	PUNCT
esrj-104741	86	12	,	,	PUNCT
esrj-104741	86	13	this	this	DET
esrj-104741	86	14	article	article	NOUN
esrj-104741	86	15	improves	improve	VERB
esrj-104741	86	16	on	on	ADP
esrj-104741	86	17	it	it	PRON
esrj-104741	86	18	by	by	ADP
esrj-104741	86	19	setting	set	VERB
esrj-104741	86	20	the	the	DET
esrj-104741	86	21	saturated	saturate	VERB
esrj-104741	86	22	oil	oil	NOUN
esrj-104741	86	23	to	to	ADP
esrj-104741	86	24	97.5	97.5	NUM
esrj-104741	86	25	,	,	PUNCT
esrj-104741	86	26	the	the	DET
esrj-104741	86	27	enriched	enrich	VERB
esrj-104741	86	28	oil	oil	NOUN
esrj-104741	86	29	to	to	ADP
esrj-104741	86	30	85	85	NUM
esrj-104741	86	31	,	,	PUNCT
esrj-104741	86	32	and	and	CCONJ
esrj-104741	86	33	the	the	DET
esrj-104741	86	34	oil	oil	NOUN
esrj-104741	86	35	immersion	immersion	NOUN
esrj-104741	86	36	to	to	ADP
esrj-104741	86	37	57.5	57.5	NUM
esrj-104741	86	38	,	,	PUNCT
esrj-104741	86	39	the	the	DET
esrj-104741	86	40	oil	oil	NOUN
esrj-104741	86	41	spot	spot	NOUN
esrj-104741	86	42	is	be	AUX
esrj-104741	86	43	22.5	22.5	NUM
esrj-104741	86	44	,	,	PUNCT
esrj-104741	86	45	the	the	DET
esrj-104741	86	46	oil	oil	NOUN
esrj-104741	86	47	trace	trace	NOUN
esrj-104741	86	48	is	be	AUX
esrj-104741	86	49	3	3	NUM
esrj-104741	86	50	,	,	PUNCT
esrj-104741	86	51	the	the	DET
esrj-104741	86	52	fluorescence	fluorescence	NOUN
esrj-104741	86	53	is	be	AUX
esrj-104741	86	54	1	1	NUM
esrj-104741	86	55	,	,	PUNCT
esrj-104741	86	56	the	the	DET
esrj-104741	86	57	oil	oil	NOUN
esrj-104741	86	58	content	content	NOUN
esrj-104741	86	59	level	level	NOUN
esrj-104741	86	60	is	be	AUX
esrj-104741	86	61	higher	high	ADJ
esrj-104741	86	62	,	,	PUNCT
esrj-104741	86	63	the	the	DET
esrj-104741	86	64	value	value	NOUN
esrj-104741	86	65	is	be	AUX
esrj-104741	86	66	greater	great	ADJ
esrj-104741	86	67	,	,	PUNCT
esrj-104741	86	68	that	that	ADV
esrj-104741	86	69	is	is	ADV
esrj-104741	86	70	,	,	PUNCT
esrj-104741	86	71	the	the	DET
esrj-104741	86	72	proportion	proportion	NOUN
esrj-104741	86	73	is	be	AUX
esrj-104741	86	74	greater	great	ADJ
esrj-104741	86	75	.	.	PUNCT
esrj-104741	87	1	for	for	ADP
esrj-104741	87	2	igneous	igneous	ADJ
esrj-104741	87	3	rocks	rock	NOUN
esrj-104741	87	4	,	,	PUNCT
esrj-104741	87	5	set	set	VERB
esrj-104741	87	6	the	the	DET
esrj-104741	87	7	oil	oil	NOUN
esrj-104741	87	8	level	level	NOUN
esrj-104741	87	9	to	to	ADP
esrj-104741	87	10	a	a	DET
esrj-104741	87	11	missing	missing	ADJ
esrj-104741	87	12	value	value	NOUN
esrj-104741	87	13	and	and	CCONJ
esrj-104741	87	14	deal	deal	VERB
esrj-104741	87	15	with	with	ADP
esrj-104741	87	16	it	it	PRON
esrj-104741	87	17	later	later	ADV
esrj-104741	87	18	.	.	PUNCT
esrj-104741	88	1	observing	observe	VERB
esrj-104741	88	2	the	the	DET
esrj-104741	88	3	data	datum	NOUN
esrj-104741	88	4	can	can	AUX
esrj-104741	88	5	also	also	ADV
esrj-104741	88	6	find	find	VERB
esrj-104741	88	7	missing	miss	VERB
esrj-104741	88	8	geochemical	geochemical	ADJ
esrj-104741	88	9	pyrolysis	pyrolysis	NOUN
esrj-104741	88	10	data	datum	NOUN
esrj-104741	88	11	for	for	ADP
esrj-104741	88	12	some	some	DET
esrj-104741	88	13	samples	sample	NOUN
esrj-104741	88	14	,	,	PUNCT
esrj-104741	88	15	which	which	PRON
esrj-104741	88	16	are	be	AUX
esrj-104741	88	17	also	also	ADV
esrj-104741	88	18	set	set	VERB
esrj-104741	88	19	as	as	ADP
esrj-104741	88	20	missing	miss	VERB
esrj-104741	88	21	values	value	NOUN
esrj-104741	88	22	for	for	ADP
esrj-104741	88	23	later	later	ADJ
esrj-104741	88	24	processing	processing	NOUN
esrj-104741	88	25	.	.	PUNCT
esrj-104741	89	1	according	accord	VERB
esrj-104741	89	2	to	to	ADP
esrj-104741	89	3	the	the	DET
esrj-104741	89	4	branching	branch	VERB
esrj-104741	89	5	rule	rule	NOUN
esrj-104741	89	6	of	of	ADP
esrj-104741	89	7	decision	decision	NOUN
esrj-104741	89	8	tree	tree	NOUN
esrj-104741	89	9	,	,	PUNCT
esrj-104741	89	10	when	when	SCONJ
esrj-104741	89	11	dividing	divide	VERB
esrj-104741	89	12	a	a	DET
esrj-104741	89	13	node	node	NOUN
esrj-104741	89	14	,	,	PUNCT
esrj-104741	89	15	it	it	PRON
esrj-104741	89	16	has	have	VERB
esrj-104741	89	17	nothing	nothing	PRON
esrj-104741	89	18	to	to	PART
esrj-104741	89	19	do	do	VERB
esrj-104741	89	20	with	with	ADP
esrj-104741	89	21	the	the	DET
esrj-104741	89	22	size	size	NOUN
esrj-104741	89	23	of	of	ADP
esrj-104741	89	24	the	the	DET
esrj-104741	89	25	value	value	NOUN
esrj-104741	89	26	,	,	PUNCT
esrj-104741	89	27	but	but	CCONJ
esrj-104741	89	28	only	only	ADV
esrj-104741	89	29	how	how	SCONJ
esrj-104741	89	30	much	much	ADJ
esrj-104741	89	31	the	the	DET
esrj-104741	89	32	value	value	NOUN
esrj-104741	89	33	is	be	AUX
esrj-104741	89	34	,	,	PUNCT
esrj-104741	89	35	so	so	CCONJ
esrj-104741	89	36	the	the	DET
esrj-104741	89	37	number	number	NOUN
esrj-104741	89	38	is	be	AUX
esrj-104741	89	39	set	set	VERB
esrj-104741	89	40	.	.	PUNCT
esrj-104741	90	1	it	it	PRON
esrj-104741	90	2	has	have	VERB
esrj-104741	90	3	no	no	DET
esrj-104741	90	4	effect	effect	NOUN
esrj-104741	90	5	on	on	ADP
esrj-104741	90	6	the	the	DET
esrj-104741	90	7	actual	actual	ADJ
esrj-104741	90	8	division	division	NOUN
esrj-104741	90	9	,	,	PUNCT
esrj-104741	90	10	but	but	CCONJ
esrj-104741	90	11	it	it	PRON
esrj-104741	90	12	is	be	AUX
esrj-104741	90	13	converted	convert	VERB
esrj-104741	90	14	into	into	ADP
esrj-104741	90	15	a	a	DET
esrj-104741	90	16	numeric	numeric	ADJ
esrj-104741	90	17	type	type	NOUN
esrj-104741	90	18	to	to	PART
esrj-104741	90	19	facilitate	facilitate	VERB
esrj-104741	90	20	subsequent	subsequent	ADJ
esrj-104741	90	21	processing	processing	NOUN
esrj-104741	90	22	of	of	ADP
esrj-104741	90	23	missing	miss	VERB
esrj-104741	90	24	values	value	NOUN
esrj-104741	90	25	.	.	PUNCT
esrj-104741	91	1	2.2	2.2	NUM
esrj-104741	91	2	handle	handle	NOUN
esrj-104741	91	3	missing	miss	VERB
esrj-104741	91	4	values	value	NOUN
esrj-104741	91	5	observations	observation	NOUN
esrj-104741	91	6	have	have	AUX
esrj-104741	91	7	found	find	VERB
esrj-104741	91	8	that	that	SCONJ
esrj-104741	91	9	some	some	DET
esrj-104741	91	10	samples	sample	NOUN
esrj-104741	91	11	lack	lack	VERB
esrj-104741	91	12	geothermal	geothermal	ADJ
esrj-104741	91	13	data	datum	NOUN
esrj-104741	91	14	and	and	CCONJ
esrj-104741	91	15	igneous	igneous	ADJ
esrj-104741	91	16	rocks	rock	NOUN
esrj-104741	91	17	lack	lack	VERB
esrj-104741	91	18	oil	oil	NOUN
esrj-104741	91	19	levels	level	NOUN
esrj-104741	91	20	.	.	PUNCT
esrj-104741	92	1	there	there	PRON
esrj-104741	92	2	are	be	VERB
esrj-104741	92	3	three	three	NUM
esrj-104741	92	4	common	common	ADJ
esrj-104741	92	5	ways	way	NOUN
esrj-104741	92	6	to	to	PART
esrj-104741	92	7	handle	handle	VERB
esrj-104741	92	8	missing	miss	VERB
esrj-104741	92	9	values	value	NOUN
esrj-104741	92	10	(	(	PUNCT
esrj-104741	92	11	cheng	cheng	PROPN
esrj-104741	92	12	,	,	PUNCT
esrj-104741	92	13	2007	2007	NUM
esrj-104741	92	14	)	)	PUNCT
esrj-104741	92	15	.	.	PUNCT
esrj-104741	93	1	the	the	DET
esrj-104741	93	2	first	first	ADJ
esrj-104741	93	3	method	method	NOUN
esrj-104741	93	4	is	be	AUX
esrj-104741	93	5	to	to	PART
esrj-104741	93	6	discard	discard	VERB
esrj-104741	93	7	the	the	DET
esrj-104741	93	8	data	datum	NOUN
esrj-104741	93	9	,	,	PUNCT
esrj-104741	93	10	discarding	discard	VERB
esrj-104741	93	11	samples	sample	NOUN
esrj-104741	93	12	with	with	ADP
esrj-104741	93	13	missing	miss	VERB
esrj-104741	93	14	values	value	NOUN
esrj-104741	93	15	and	and	CCONJ
esrj-104741	93	16	leaving	leave	VERB
esrj-104741	93	17	only	only	ADV
esrj-104741	93	18	the	the	DET
esrj-104741	93	19	samples	sample	NOUN
esrj-104741	93	20	with	with	ADP
esrj-104741	93	21	complete	complete	ADJ
esrj-104741	93	22	data	datum	NOUN
esrj-104741	93	23	.	.	PUNCT
esrj-104741	94	1	however	however	ADV
esrj-104741	94	2	,	,	PUNCT
esrj-104741	94	3	in	in	ADP
esrj-104741	94	4	the	the	DET
esrj-104741	94	5	process	process	NOUN
esrj-104741	94	6	of	of	ADP
esrj-104741	94	7	logging	log	VERB
esrj-104741	94	8	,	,	PUNCT
esrj-104741	94	9	less	less	ADJ
esrj-104741	94	10	data	datum	NOUN
esrj-104741	94	11	is	be	AUX
esrj-104741	94	12	obtained	obtain	VERB
esrj-104741	94	13	.	.	PUNCT
esrj-104741	95	1	if	if	SCONJ
esrj-104741	95	2	the	the	DET
esrj-104741	95	3	sample	sample	NOUN
esrj-104741	95	4	with	with	ADP
esrj-104741	95	5	missing	miss	VERB
esrj-104741	95	6	values	value	NOUN
esrj-104741	95	7	is	be	AUX
esrj-104741	95	8	discarded	discard	VERB
esrj-104741	95	9	,	,	PUNCT
esrj-104741	95	10	there	there	PRON
esrj-104741	95	11	will	will	AUX
esrj-104741	95	12	be	be	AUX
esrj-104741	95	13	fewer	few	ADJ
esrj-104741	95	14	samples	sample	NOUN
esrj-104741	95	15	available	available	ADJ
esrj-104741	95	16	for	for	ADP
esrj-104741	95	17	use	use	NOUN
esrj-104741	95	18	,	,	PUNCT
esrj-104741	95	19	which	which	PRON
esrj-104741	95	20	is	be	AUX
esrj-104741	95	21	not	not	PART
esrj-104741	95	22	conducive	conducive	ADJ
esrj-104741	95	23	to	to	ADP
esrj-104741	95	24	our	our	PRON
esrj-104741	95	25	model	model	NOUN
esrj-104741	95	26	building	building	NOUN
esrj-104741	95	27	,	,	PUNCT
esrj-104741	95	28	and	and	CCONJ
esrj-104741	95	29	the	the	DET
esrj-104741	95	30	accuracy	accuracy	NOUN
esrj-104741	95	31	of	of	ADP
esrj-104741	95	32	the	the	DET
esrj-104741	95	33	model	model	NOUN
esrj-104741	95	34	after	after	SCONJ
esrj-104741	95	35	the	the	DET
esrj-104741	95	36	establishment	establishment	NOUN
esrj-104741	95	37	will	will	AUX
esrj-104741	95	38	be	be	AUX
esrj-104741	95	39	affected	affect	VERB
esrj-104741	95	40	.	.	PUNCT
esrj-104741	96	1	the	the	DET
esrj-104741	96	2	second	second	ADJ
esrj-104741	96	3	method	method	NOUN
esrj-104741	96	4	is	be	AUX
esrj-104741	96	5	to	to	PART
esrj-104741	96	6	use	use	VERB
esrj-104741	96	7	other	other	ADJ
esrj-104741	96	8	variables	variable	NOUN
esrj-104741	96	9	as	as	ADP
esrj-104741	96	10	a	a	DET
esrj-104741	96	11	predictive	predictive	ADJ
esrj-104741	96	12	model	model	NOUN
esrj-104741	96	13	to	to	PART
esrj-104741	96	14	calculate	calculate	VERB
esrj-104741	96	15	the	the	DET
esrj-104741	96	16	missing	miss	VERB
esrj-104741	96	17	variables	variable	NOUN
esrj-104741	96	18	,	,	PUNCT
esrj-104741	96	19	but	but	CCONJ
esrj-104741	96	20	this	this	DET
esrj-104741	96	21	method	method	NOUN
esrj-104741	96	22	has	have	VERB
esrj-104741	96	23	a	a	DET
esrj-104741	96	24	fundamental	fundamental	ADJ
esrj-104741	96	25	flaw	flaw	NOUN
esrj-104741	96	26	.	.	PUNCT
esrj-104741	97	1	if	if	SCONJ
esrj-104741	97	2	the	the	DET
esrj-104741	97	3	other	other	ADJ
esrj-104741	97	4	variables	variable	NOUN
esrj-104741	97	5	are	be	AUX
esrj-104741	97	6	not	not	PART
esrj-104741	97	7	related	relate	VERB
esrj-104741	97	8	to	to	ADP
esrj-104741	97	9	the	the	DET
esrj-104741	97	10	missing	miss	VERB
esrj-104741	97	11	variables	variable	NOUN
esrj-104741	97	12	,	,	PUNCT
esrj-104741	97	13	the	the	DET
esrj-104741	97	14	predicted	predict	VERB
esrj-104741	97	15	result	result	NOUN
esrj-104741	97	16	is	be	AUX
esrj-104741	97	17	meaningless	meaningless	ADJ
esrj-104741	97	18	,	,	PUNCT
esrj-104741	97	19	and	and	CCONJ
esrj-104741	97	20	if	if	SCONJ
esrj-104741	97	21	the	the	DET
esrj-104741	97	22	prediction	prediction	NOUN
esrj-104741	97	23	is	be	AUX
esrj-104741	97	24	fairly	fairly	ADV
esrj-104741	97	25	accurate	accurate	ADJ
esrj-104741	97	26	,	,	PUNCT
esrj-104741	97	27	it	it	PRON
esrj-104741	97	28	is	be	AUX
esrj-104741	97	29	not	not	PART
esrj-104741	97	30	necessary	necessary	ADJ
esrj-104741	97	31	for	for	SCONJ
esrj-104741	97	32	this	this	DET
esrj-104741	97	33	variable	variable	NOUN
esrj-104741	97	34	to	to	PART
esrj-104741	97	35	add	add	VERB
esrj-104741	97	36	to	to	ADP
esrj-104741	97	37	the	the	DET
esrj-104741	97	38	model	model	NOUN
esrj-104741	97	39	.	.	PUNCT
esrj-104741	98	1	the	the	DET
esrj-104741	98	2	third	third	ADJ
esrj-104741	98	3	method	method	NOUN
esrj-104741	98	4	is	be	AUX
esrj-104741	98	5	replaced	replace	VERB
esrj-104741	98	6	by	by	ADP
esrj-104741	98	7	mean	mean	ADJ
esrj-104741	98	8	,	,	PUNCT
esrj-104741	98	9	median	median	ADJ
esrj-104741	98	10	,	,	PUNCT
esrj-104741	98	11	quantile	quantile	ADJ
esrj-104741	98	12	,	,	PUNCT
esrj-104741	98	13	mode	mode	NOUN
esrj-104741	98	14	,	,	PUNCT
esrj-104741	98	15	random	random	ADJ
esrj-104741	98	16	number	number	NOUN
esrj-104741	98	17	,	,	PUNCT
esrj-104741	98	18	etc	etc	X
esrj-104741	98	19	.	.	X
esrj-104741	99	1	this	this	DET
esrj-104741	99	2	article	article	NOUN
esrj-104741	99	3	adopts	adopt	VERB
esrj-104741	99	4	the	the	DET
esrj-104741	99	5	average	average	NOUN
esrj-104741	99	6	of	of	ADP
esrj-104741	99	7	the	the	DET
esrj-104741	99	8	same	same	ADJ
esrj-104741	99	9	sample	sample	NOUN
esrj-104741	99	10	to	to	PART
esrj-104741	99	11	fill	fill	VERB
esrj-104741	99	12	in	in	ADP
esrj-104741	99	13	the	the	DET
esrj-104741	99	14	missing	miss	VERB
esrj-104741	99	15	values	value	NOUN
esrj-104741	99	16	,	,	PUNCT
esrj-104741	99	17	because	because	SCONJ
esrj-104741	99	18	the	the	DET
esrj-104741	99	19	same	same	ADJ
esrj-104741	99	20	samples	sample	NOUN
esrj-104741	99	21	should	should	AUX
esrj-104741	99	22	have	have	VERB
esrj-104741	99	23	similar	similar	ADJ
esrj-104741	99	24	properties	property	NOUN
esrj-104741	99	25	,	,	PUNCT
esrj-104741	99	26	and	and	CCONJ
esrj-104741	99	27	the	the	DET
esrj-104741	99	28	value	value	NOUN
esrj-104741	99	29	of	of	ADP
esrj-104741	99	30	this	this	DET
esrj-104741	99	31	attribute	attribute	NOUN
esrj-104741	99	32	should	should	AUX
esrj-104741	99	33	fluctuate	fluctuate	VERB
esrj-104741	99	34	within	within	ADP
esrj-104741	99	35	a	a	DET
esrj-104741	99	36	certain	certain	ADJ
esrj-104741	99	37	range	range	NOUN
esrj-104741	99	38	,	,	PUNCT
esrj-104741	99	39	so	so	ADV
esrj-104741	99	40	the	the	DET
esrj-104741	99	41	mean	mean	NOUN
esrj-104741	99	42	is	be	AUX
esrj-104741	99	43	used	use	VERB
esrj-104741	99	44	instead	instead	ADV
esrj-104741	99	45	of	of	ADP
esrj-104741	99	46	the	the	DET
esrj-104741	99	47	missing	miss	VERB
esrj-104741	99	48	values	value	NOUN
esrj-104741	99	49	.	.	PUNCT
esrj-104741	100	1	in	in	ADP
esrj-104741	100	2	fact	fact	NOUN
esrj-104741	100	3	,	,	PUNCT
esrj-104741	100	4	for	for	ADP
esrj-104741	100	5	the	the	DET
esrj-104741	100	6	random	random	ADJ
esrj-104741	100	7	forest	forest	NOUN
esrj-104741	100	8	algorithm	algorithm	NOUN
esrj-104741	100	9	,	,	PUNCT
esrj-104741	100	10	there	there	PRON
esrj-104741	100	11	is	be	VERB
esrj-104741	100	12	another	another	DET
esrj-104741	100	13	method	method	NOUN
esrj-104741	100	14	of	of	ADP
esrj-104741	100	15	filling	fill	VERB
esrj-104741	100	16	in	in	ADP
esrj-104741	100	17	missing	miss	VERB
esrj-104741	100	18	values	value	NOUN
esrj-104741	100	19	that	that	PRON
esrj-104741	100	20	is	be	AUX
esrj-104741	100	21	unique	unique	ADJ
esrj-104741	100	22	to	to	ADP
esrj-104741	100	23	this	this	DET
esrj-104741	100	24	algorithm	algorithm	NOUN
esrj-104741	100	25	(	(	PUNCT
esrj-104741	100	26	cutler	cutler	PROPN
esrj-104741	100	27	et	et	PROPN
esrj-104741	100	28	al	al	PROPN
esrj-104741	100	29	.	.	PROPN
esrj-104741	100	30	,	,	PUNCT
esrj-104741	100	31	2004	2004	NUM
esrj-104741	100	32	)	)	PUNCT
esrj-104741	100	33	.	.	PUNCT
esrj-104741	101	1	first	first	ADV
esrj-104741	101	2	,	,	PUNCT
esrj-104741	101	3	the	the	DET
esrj-104741	101	4	affinity	affinity	NOUN
esrj-104741	101	5	among	among	ADP
esrj-104741	101	6	the	the	DET
esrj-104741	101	7	samples	sample	NOUN
esrj-104741	101	8	is	be	AUX
esrj-104741	101	9	calculated	calculate	VERB
esrj-104741	101	10	,	,	PUNCT
esrj-104741	101	11	and	and	CCONJ
esrj-104741	101	12	then	then	ADV
esrj-104741	101	13	the	the	DET
esrj-104741	101	14	affinity	affinity	NOUN
esrj-104741	101	15	is	be	AUX
esrj-104741	101	16	used	use	VERB
esrj-104741	101	17	as	as	ADP
esrj-104741	101	18	the	the	DET
esrj-104741	101	19	weight	weight	NOUN
esrj-104741	101	20	,	,	PUNCT
esrj-104741	101	21	and	and	CCONJ
esrj-104741	101	22	all	all	DET
esrj-104741	101	23	non	non	ADJ
esrj-104741	101	24	-	-	ADJ
esrj-104741	101	25	missing	missing	ADJ
esrj-104741	101	26	values	value	NOUN
esrj-104741	101	27	are	be	AUX
esrj-104741	101	28	weighted	weight	VERB
esrj-104741	101	29	,	,	PUNCT
esrj-104741	101	30	and	and	CCONJ
esrj-104741	101	31	the	the	DET
esrj-104741	101	32	average	average	ADJ
esrj-104741	101	33	value	value	NOUN
esrj-104741	101	34	is	be	AUX
esrj-104741	101	35	obtained	obtain	VERB
esrj-104741	101	36	instead	instead	ADV
esrj-104741	101	37	of	of	ADP
esrj-104741	101	38	the	the	DET
esrj-104741	101	39	missing	miss	VERB
esrj-104741	101	40	value	value	NOUN
esrj-104741	101	41	.	.	PUNCT
esrj-104741	102	1	this	this	DET
esrj-104741	102	2	method	method	NOUN
esrj-104741	102	3	is	be	AUX
esrj-104741	102	4	only	only	ADV
esrj-104741	102	5	valid	valid	ADJ
esrj-104741	102	6	in	in	ADP
esrj-104741	102	7	random	random	ADJ
esrj-104741	102	8	forest	forest	NOUN
esrj-104741	102	9	algorithms	algorithm	NOUN
esrj-104741	102	10	,	,	PUNCT
esrj-104741	102	11	because	because	SCONJ
esrj-104741	102	12	calculating	calculate	VERB
esrj-104741	102	13	affinity	affinity	NOUN
esrj-104741	102	14	among	among	ADP
esrj-104741	102	15	samples	sample	NOUN
esrj-104741	102	16	is	be	AUX
esrj-104741	102	17	an	an	DET
esrj-104741	102	18	advantage	advantage	NOUN
esrj-104741	102	19	of	of	ADP
esrj-104741	102	20	random	random	ADJ
esrj-104741	102	21	forest	forest	NOUN
esrj-104741	102	22	algorithms	algorithm	NOUN
esrj-104741	102	23	.	.	PUNCT
esrj-104741	103	1	this	this	DET
esrj-104741	103	2	filling	filling	NOUN
esrj-104741	103	3	method	method	NOUN
esrj-104741	103	4	results	result	NOUN
esrj-104741	103	5	in	in	ADP
esrj-104741	103	6	better	well	ADJ
esrj-104741	103	7	performance	performance	NOUN
esrj-104741	103	8	than	than	ADP
esrj-104741	103	9	the	the	DET
esrj-104741	103	10	previous	previous	ADJ
esrj-104741	103	11	methods	method	NOUN
esrj-104741	103	12	,	,	PUNCT
esrj-104741	103	13	but	but	CCONJ
esrj-104741	103	14	the	the	DET
esrj-104741	103	15	amount	amount	NOUN
esrj-104741	103	16	of	of	ADP
esrj-104741	103	17	computation	computation	NOUN
esrj-104741	103	18	increases	increase	NOUN
esrj-104741	103	19	.	.	PUNCT
esrj-104741	104	1	as	as	ADP
esrj-104741	104	2	the	the	DET
esrj-104741	104	3	number	number	NOUN
esrj-104741	104	4	of	of	ADP
esrj-104741	104	5	samples	sample	NOUN
esrj-104741	104	6	and	and	CCONJ
esrj-104741	104	7	the	the	DET
esrj-104741	104	8	number	number	NOUN
esrj-104741	104	9	of	of	ADP
esrj-104741	104	10	base	base	NOUN
esrj-104741	104	11	learners	learner	NOUN
esrj-104741	104	12	increases	increase	NOUN
esrj-104741	104	13	,	,	PUNCT
esrj-104741	104	14	the	the	DET
esrj-104741	104	15	calculation	calculation	NOUN
esrj-104741	104	16	time	time	NOUN
esrj-104741	104	17	increases	increase	NOUN
esrj-104741	104	18	.	.	PUNCT
esrj-104741	105	1	this	this	DET
esrj-104741	105	2	article	article	NOUN
esrj-104741	105	3	uses	use	VERB
esrj-104741	105	4	the	the	DET
esrj-104741	105	5	average	average	NOUN
esrj-104741	105	6	of	of	ADP
esrj-104741	105	7	each	each	DET
esrj-104741	105	8	feature	feature	NOUN
esrj-104741	105	9	to	to	PART
esrj-104741	105	10	populate	populate	VERB
esrj-104741	105	11	the	the	DET
esrj-104741	105	12	missing	miss	VERB
esrj-104741	105	13	values	value	NOUN
esrj-104741	105	14	to	to	PART
esrj-104741	105	15	reduce	reduce	VERB
esrj-104741	105	16	the	the	DET
esrj-104741	105	17	workload	workload	NOUN
esrj-104741	105	18	.	.	PUNCT
esrj-104741	106	1	2.3	2.3	NUM
esrj-104741	106	2	deal	deal	NOUN
esrj-104741	106	3	with	with	ADP
esrj-104741	106	4	sample	sample	NOUN
esrj-104741	106	5	imbalance	imbalance	NOUN
esrj-104741	106	6	problems	problem	NOUN
esrj-104741	106	7	due	due	ADJ
esrj-104741	106	8	to	to	ADP
esrj-104741	106	9	practical	practical	ADJ
esrj-104741	106	10	factors	factor	NOUN
esrj-104741	106	11	and	and	CCONJ
esrj-104741	106	12	other	other	ADJ
esrj-104741	106	13	reasons	reason	NOUN
esrj-104741	106	14	,	,	PUNCT
esrj-104741	106	15	the	the	DET
esrj-104741	106	16	number	number	NOUN
esrj-104741	106	17	of	of	ADP
esrj-104741	106	18	samples	sample	NOUN
esrj-104741	106	19	obtained	obtain	VERB
esrj-104741	106	20	is	be	AUX
esrj-104741	106	21	not	not	PART
esrj-104741	106	22	much	much	ADJ
esrj-104741	106	23	,	,	PUNCT
esrj-104741	106	24	and	and	CCONJ
esrj-104741	106	25	after	after	ADP
esrj-104741	106	26	the	the	DET
esrj-104741	106	27	statistics	statistic	NOUN
esrj-104741	106	28	of	of	ADP
esrj-104741	106	29	the	the	DET
esrj-104741	106	30	samples	sample	NOUN
esrj-104741	106	31	(	(	PUNCT
esrj-104741	106	32	table	table	NOUN
esrj-104741	106	33	1	1	NUM
esrj-104741	106	34	)	)	PUNCT
esrj-104741	106	35	,	,	PUNCT
esrj-104741	106	36	it	it	PRON
esrj-104741	106	37	is	be	AUX
esrj-104741	106	38	found	find	VERB
esrj-104741	106	39	that	that	SCONJ
esrj-104741	106	40	there	there	PRON
esrj-104741	106	41	are	be	VERB
esrj-104741	106	42	4	4	NUM
esrj-104741	106	43	samples	sample	NOUN
esrj-104741	106	44	of	of	ADP
esrj-104741	106	45	the	the	DET
esrj-104741	106	46	aqueous	aqueous	ADJ
esrj-104741	106	47	oil	oil	NOUN
esrj-104741	106	48	layer	layer	NOUN
esrj-104741	106	49	in	in	ADP
esrj-104741	106	50	the	the	DET
esrj-104741	106	51	eastern	eastern	ADJ
esrj-104741	106	52	part	part	NOUN
esrj-104741	106	53	of	of	ADP
esrj-104741	106	54	the	the	DET
esrj-104741	106	55	liaohe	liaohe	NOUN
esrj-104741	106	56	river	river	NOUN
esrj-104741	106	57	,	,	PUNCT
esrj-104741	106	58	11	11	NUM
esrj-104741	106	59	oil	oil	NOUN
esrj-104741	106	60	-	-	PUNCT
esrj-104741	106	61	water	water	NOUN
esrj-104741	106	62	layers	layer	NOUN
esrj-104741	106	63	,	,	PUNCT
esrj-104741	106	64	12	12	NUM
esrj-104741	106	65	oil	oil	NOUN
esrj-104741	106	66	layers	layer	NOUN
esrj-104741	106	67	,	,	PUNCT
esrj-104741	106	68	21	21	NUM
esrj-104741	106	69	dry	dry	ADJ
esrj-104741	106	70	layers	layer	NOUN
esrj-104741	106	71	and	and	CCONJ
esrj-104741	106	72	31	31	NUM
esrj-104741	106	73	water	water	NOUN
esrj-104741	106	74	layers	layer	NOUN
esrj-104741	106	75	.	.	PUNCT
esrj-104741	107	1	there	there	PRON
esrj-104741	107	2	are	be	VERB
esrj-104741	107	3	1	1	NUM
esrj-104741	107	4	aqueous	aqueous	ADJ
esrj-104741	107	5	oil	oil	NOUN
esrj-104741	107	6	layer	layer	NOUN
esrj-104741	107	7	in	in	ADP
esrj-104741	107	8	the	the	DET
esrj-104741	107	9	western	western	ADJ
esrj-104741	107	10	part	part	NOUN
esrj-104741	107	11	of	of	ADP
esrj-104741	107	12	the	the	DET
esrj-104741	107	13	liaohe	liaohe	NOUN
esrj-104741	107	14	river	river	NOUN
esrj-104741	107	15	,	,	PUNCT
esrj-104741	107	16	3	3	NUM
esrj-104741	107	17	dry	dry	ADJ
esrj-104741	107	18	layers	layer	NOUN
esrj-104741	107	19	,	,	PUNCT
esrj-104741	107	20	7	7	NUM
esrj-104741	107	21	oil	oil	NOUN
esrj-104741	107	22	-	-	PUNCT
esrj-104741	107	23	water	water	NOUN
esrj-104741	107	24	layers	layer	NOUN
esrj-104741	107	25	,	,	PUNCT
esrj-104741	107	26	7	7	NUM
esrj-104741	107	27	self	self	NOUN
esrj-104741	107	28	-	-	PUNCT
esrj-104741	107	29	injection	injection	NOUN
esrj-104741	107	30	layers	layer	NOUN
esrj-104741	107	31	,	,	PUNCT
esrj-104741	107	32	16	16	NUM
esrj-104741	107	33	low	low	ADJ
esrj-104741	107	34	-	-	PUNCT
esrj-104741	107	35	yield	yield	NOUN
esrj-104741	107	36	oil	oil	NOUN
esrj-104741	107	37	layers	layer	NOUN
esrj-104741	107	38	,	,	PUNCT
esrj-104741	107	39	17	17	NUM
esrj-104741	107	40	dry	dry	ADJ
esrj-104741	107	41	layers	layer	NOUN
esrj-104741	107	42	and	and	CCONJ
esrj-104741	107	43	48	48	NUM
esrj-104741	107	44	oil	oil	NOUN
esrj-104741	107	45	layers	layer	NOUN
esrj-104741	107	46	.	.	PUNCT
esrj-104741	108	1	table	table	NOUN
esrj-104741	108	2	1	1	NUM
esrj-104741	108	3	statistics	statistic	NOUN
esrj-104741	108	4	of	of	ADP
esrj-104741	108	5	sample	sample	NOUN
esrj-104741	108	6	categories	category	NOUN
esrj-104741	108	7	in	in	ADP
esrj-104741	108	8	liaohe	liaohe	NOUN
esrj-104741	108	9	depression	depression	NOUN
esrj-104741	108	10	category	category	NOUN
esrj-104741	108	11	number	number	NOUN
esrj-104741	108	12	of	of	ADP
esrj-104741	108	13	samples	sample	NOUN
esrj-104741	108	14	eastern	eastern	ADJ
esrj-104741	108	15	westward	westward	ADJ
esrj-104741	108	16	aqueous	aqueous	ADJ
esrj-104741	108	17	oil	oil	NOUN
esrj-104741	108	18	layer	layer	NOUN
esrj-104741	108	19	4	4	NUM
esrj-104741	108	20	1	1	NUM
esrj-104741	108	21	dry	dry	ADJ
esrj-104741	108	22	layer	layer	NOUN
esrj-104741	108	23	21	21	NUM
esrj-104741	108	24	3	3	NUM
esrj-104741	108	25	oil	oil	NOUN
esrj-104741	108	26	and	and	CCONJ
esrj-104741	108	27	water	water	NOUN
esrj-104741	108	28	are	be	AUX
esrj-104741	108	29	in	in	ADP
esrj-104741	108	30	the	the	DET
esrj-104741	108	31	same	same	ADJ
esrj-104741	108	32	layer	layer	NOUN
esrj-104741	108	33	11	11	NUM
esrj-104741	108	34	7	7	NUM
esrj-104741	108	35	self	self	NOUN
esrj-104741	108	36	-	-	PUNCT
esrj-104741	108	37	injecting	inject	VERB
esrj-104741	108	38	layer	layer	NOUN
esrj-104741	108	39	7	7	NUM
esrj-104741	108	40	low	low	ADV
esrj-104741	108	41	-	-	PUNCT
esrj-104741	108	42	yielding	yield	VERB
esrj-104741	108	43	reservoir	reservoir	NOUN
esrj-104741	108	44	16	16	NUM
esrj-104741	108	45	dry	dry	ADJ
esrj-104741	108	46	layer	layer	NOUN
esrj-104741	108	47	see	see	VERB
esrj-104741	108	48	oil	oil	NOUN
esrj-104741	108	49	17	17	NUM
esrj-104741	108	50	reservoir	reservoir	NOUN
esrj-104741	108	51	12	12	NUM
esrj-104741	108	52	48	48	NUM
esrj-104741	108	53	water	water	NOUN
esrj-104741	108	54	31	31	NUM
esrj-104741	108	55	total	total	NOUN
esrj-104741	108	56	79	79	NUM
esrj-104741	108	57	99	99	NUM
esrj-104741	108	58	random	random	ADJ
esrj-104741	108	59	forest	forest	NOUN
esrj-104741	108	60	algorithm	algorithm	NOUN
esrj-104741	108	61	,	,	PUNCT
esrj-104741	108	62	using	use	VERB
esrj-104741	108	63	self	self	NOUN
esrj-104741	108	64	-	-	PUNCT
esrj-104741	108	65	sampling	sample	VERB
esrj-104741	108	66	method	method	NOUN
esrj-104741	108	67	,	,	PUNCT
esrj-104741	108	68	about	about	ADV
esrj-104741	108	69	36.8	36.8	NUM
esrj-104741	108	70	%	%	NOUN
esrj-104741	108	71	of	of	ADP
esrj-104741	108	72	the	the	DET
esrj-104741	108	73	samples	sample	NOUN
esrj-104741	108	74	can	can	AUX
esrj-104741	108	75	not	not	PART
esrj-104741	108	76	enter	enter	VERB
esrj-104741	108	77	the	the	DET
esrj-104741	108	78	training	training	NOUN
esrj-104741	108	79	set	set	NOUN
esrj-104741	108	80	,	,	PUNCT
esrj-104741	108	81	through	through	ADP
esrj-104741	108	82	the	the	DET
esrj-104741	108	83	statistics	statistic	NOUN
esrj-104741	108	84	can	can	AUX
esrj-104741	108	85	be	be	AUX
esrj-104741	108	86	found	find	VERB
esrj-104741	108	87	that	that	SCONJ
esrj-104741	108	88	the	the	DET
esrj-104741	108	89	eastern	eastern	ADJ
esrj-104741	108	90	liaohe	liaohe	NOUN
esrj-104741	108	91	aquifer	aquifer	NOUN
esrj-104741	108	92	only	only	ADV
esrj-104741	108	93	4	4	NUM
esrj-104741	108	94	samples	sample	NOUN
esrj-104741	108	95	,	,	PUNCT
esrj-104741	108	96	far	far	ADV
esrj-104741	108	97	below	below	ADP
esrj-104741	108	98	the	the	DET
esrj-104741	108	99	aquifer	aquifer	NOUN
esrj-104741	108	100	31	31	NUM
esrj-104741	108	101	samples	sample	NOUN
esrj-104741	108	102	,	,	PUNCT
esrj-104741	108	103	while	while	SCONJ
esrj-104741	108	104	the	the	DET
esrj-104741	108	105	western	western	ADJ
esrj-104741	108	106	liaohe	liaohe	NOUN
esrj-104741	108	107	river	river	NOUN
esrj-104741	108	108	aquifer	aquifer	NOUN
esrj-104741	108	109	and	and	CCONJ
esrj-104741	108	110	dry	dry	ADJ
esrj-104741	108	111	layer	layer	NOUN
esrj-104741	108	112	only	only	ADV
esrj-104741	108	113	1	1	NUM
esrj-104741	108	114	and	and	CCONJ
esrj-104741	108	115	3	3	NUM
esrj-104741	108	116	,	,	PUNCT
esrj-104741	108	117	far	far	ADV
esrj-104741	108	118	lower	low	ADJ
esrj-104741	108	119	than	than	ADP
esrj-104741	108	120	the	the	DET
esrj-104741	108	121	oil	oil	NOUN
esrj-104741	108	122	layer	layer	NOUN
esrj-104741	108	123	48	48	NUM
esrj-104741	108	124	.	.	PUNCT
esrj-104741	109	1	this	this	PRON
esrj-104741	109	2	will	will	AUX
esrj-104741	109	3	lead	lead	VERB
esrj-104741	109	4	to	to	ADP
esrj-104741	109	5	a	a	DET
esrj-104741	109	6	large	large	ADJ
esrj-104741	109	7	probability	probability	NOUN
esrj-104741	109	8	that	that	SCONJ
esrj-104741	109	9	a	a	DET
esrj-104741	109	10	small	small	ADJ
esrj-104741	109	11	sample	sample	NOUN
esrj-104741	109	12	size	size	NOUN
esrj-104741	109	13	of	of	ADP
esrj-104741	109	14	the	the	DET
esrj-104741	109	15	class	class	NOUN
esrj-104741	109	16	can	can	AUX
esrj-104741	109	17	not	not	PART
esrj-104741	109	18	be	be	AUX
esrj-104741	109	19	,	,	PUNCT
esrj-104741	109	20	or	or	CCONJ
esrj-104741	109	21	only	only	ADV
esrj-104741	109	22	a	a	DET
esrj-104741	109	23	very	very	ADV
esrj-104741	109	24	small	small	ADJ
esrj-104741	109	25	number	number	NOUN
esrj-104741	109	26	of	of	ADP
esrj-104741	109	27	samples	sample	NOUN
esrj-104741	109	28	will	will	AUX
esrj-104741	109	29	be	be	AUX
esrj-104741	109	30	collected	collect	VERB
esrj-104741	109	31	into	into	ADP
esrj-104741	109	32	the	the	DET
esrj-104741	109	33	training	training	NOUN
esrj-104741	109	34	set	set	NOUN
esrj-104741	109	35	,	,	PUNCT
esrj-104741	109	36	resulting	result	VERB
esrj-104741	109	37	in	in	ADP
esrj-104741	109	38	the	the	DET
esrj-104741	109	39	trained	train	VERB
esrj-104741	109	40	model	model	NOUN
esrj-104741	109	41	of	of	ADP
esrj-104741	109	42	the	the	DET
esrj-104741	109	43	class	class	NOUN
esrj-104741	109	44	of	of	ADP
esrj-104741	109	45	recognition	recognition	NOUN
esrj-104741	109	46	of	of	ADP
esrj-104741	109	47	the	the	DET
esrj-104741	109	48	class	class	NOUN
esrj-104741	109	49	of	of	ADP
esrj-104741	109	50	samples	sample	NOUN
esrj-104741	109	51	is	be	AUX
esrj-104741	109	52	low	low	ADJ
esrj-104741	109	53	,	,	PUNCT
esrj-104741	109	54	or	or	CCONJ
esrj-104741	109	55	can	can	AUX
esrj-104741	109	56	not	not	PART
esrj-104741	109	57	be	be	AUX
esrj-104741	109	58	distinguished	distinguish	VERB
esrj-104741	109	59	,	,	PUNCT
esrj-104741	109	60	the	the	DET
esrj-104741	109	61	generalization	generalization	NOUN
esrj-104741	109	62	ability	ability	NOUN
esrj-104741	109	63	of	of	ADP
esrj-104741	109	64	the	the	DET
esrj-104741	109	65	model	model	NOUN
esrj-104741	109	66	is	be	AUX
esrj-104741	109	67	insufficient	insufficient	ADJ
esrj-104741	109	68	,	,	PUNCT
esrj-104741	109	69	the	the	DET
esrj-104741	109	70	new	new	ADJ
esrj-104741	109	71	sample	sample	NOUN
esrj-104741	109	72	,	,	PUNCT
esrj-104741	109	73	especially	especially	ADV
esrj-104741	109	74	the	the	DET
esrj-104741	109	75	small	small	ADJ
esrj-104741	109	76	sample	sample	NOUN
esrj-104741	109	77	category	category	NOUN
esrj-104741	109	78	can	can	AUX
esrj-104741	109	79	not	not	PART
esrj-104741	109	80	be	be	AUX
esrj-104741	109	81	judged	judge	VERB
esrj-104741	109	82	.	.	PUNCT
esrj-104741	110	1	for	for	ADP
esrj-104741	110	2	this	this	DET
esrj-104741	110	3	kind	kind	NOUN
esrj-104741	110	4	of	of	ADP
esrj-104741	110	5	extreme	extreme	ADJ
esrj-104741	110	6	sample	sample	NOUN
esrj-104741	110	7	imbalance	imbalance	NOUN
esrj-104741	110	8	problem	problem	NOUN
esrj-104741	110	9	,	,	PUNCT
esrj-104741	110	10	there	there	PRON
esrj-104741	110	11	are	be	VERB
esrj-104741	110	12	two	two	NUM
esrj-104741	110	13	solutions	solution	NOUN
esrj-104741	110	14	,	,	PUNCT
esrj-104741	110	15	one	one	NUM
esrj-104741	110	16	is	be	AUX
esrj-104741	110	17	to	to	PART
esrj-104741	110	18	improve	improve	VERB
esrj-104741	110	19	the	the	DET
esrj-104741	110	20	sampling	sampling	NOUN
esrj-104741	110	21	method	method	NOUN
esrj-104741	110	22	,	,	PUNCT
esrj-104741	110	23	so	so	SCONJ
esrj-104741	110	24	that	that	SCONJ
esrj-104741	110	25	the	the	DET
esrj-104741	110	26	number	number	NOUN
esrj-104741	110	27	of	of	ADP
esrj-104741	110	28	samples	sample	NOUN
esrj-104741	110	29	in	in	ADP
esrj-104741	110	30	the	the	DET
esrj-104741	110	31	sample	sample	NOUN
esrj-104741	110	32	set	set	NOUN
esrj-104741	110	33	reaches	reach	VERB
esrj-104741	110	34	the	the	DET
esrj-104741	110	35	same	same	ADJ
esrj-104741	110	36	level	level	NOUN
esrj-104741	110	37	.	.	PUNCT
esrj-104741	111	1	this	this	DET
esrj-104741	111	2	method	method	NOUN
esrj-104741	111	3	is	be	AUX
esrj-104741	111	4	called	call	VERB
esrj-104741	111	5	balanced	balanced	ADJ
esrj-104741	111	6	random	random	ADJ
esrj-104741	111	7	72	72	NUM
esrj-104741	111	8	chunlei	chunlei	NOUN
esrj-104741	111	9	dai	dai	PROPN
esrj-104741	111	10	,	,	PUNCT
esrj-104741	111	11	shangming	shangme	VERB
esrj-104741	111	12	shi	shi	PROPN
esrj-104741	111	13	,	,	PUNCT
esrj-104741	111	14	chao	chao	PROPN
esrj-104741	111	15	song	song	PROPN
esrj-104741	111	16	forest	forest	NOUN
esrj-104741	111	17	,	,	PUNCT
esrj-104741	111	18	and	and	CCONJ
esrj-104741	111	19	the	the	DET
esrj-104741	111	20	other	other	ADJ
esrj-104741	111	21	is	be	AUX
esrj-104741	111	22	to	to	PART
esrj-104741	111	23	use	use	VERB
esrj-104741	111	24	a	a	DET
esrj-104741	111	25	weighted	weight	VERB
esrj-104741	111	26	random	random	ADJ
esrj-104741	111	27	forest	forest	NOUN
esrj-104741	111	28	,	,	PUNCT
esrj-104741	111	29	that	that	ADV
esrj-104741	111	30	is	is	ADV
esrj-104741	111	31	,	,	PUNCT
esrj-104741	111	32	through	through	ADP
esrj-104741	111	33	the	the	DET
esrj-104741	111	34	costsensitive	costsensitive	ADJ
esrj-104741	111	35	learning	learning	NOUN
esrj-104741	111	36	method	method	NOUN
esrj-104741	111	37	,	,	PUNCT
esrj-104741	111	38	the	the	DET
esrj-104741	111	39	learner	learner	NOUN
esrj-104741	111	40	is	be	AUX
esrj-104741	111	41	improved	improve	VERB
esrj-104741	111	42	,	,	PUNCT
esrj-104741	111	43	so	so	SCONJ
esrj-104741	111	44	that	that	SCONJ
esrj-104741	111	45	its	its	PRON
esrj-104741	111	46	prediction	prediction	NOUN
esrj-104741	111	47	results	result	NOUN
esrj-104741	111	48	are	be	AUX
esrj-104741	111	49	connected	connect	VERB
esrj-104741	111	50	with	with	ADP
esrj-104741	111	51	the	the	DET
esrj-104741	111	52	weights	weight	NOUN
esrj-104741	111	53	,	,	PUNCT
esrj-104741	111	54	thereby	thereby	ADV
esrj-104741	111	55	improving	improve	VERB
esrj-104741	111	56	the	the	DET
esrj-104741	111	57	performance	performance	NOUN
esrj-104741	111	58	of	of	ADP
esrj-104741	111	59	the	the	DET
esrj-104741	111	60	learner	learner	NOUN
esrj-104741	111	61	.	.	PUNCT
esrj-104741	112	1	this	this	DET
esrj-104741	112	2	paper	paper	NOUN
esrj-104741	112	3	uses	use	VERB
esrj-104741	112	4	the	the	DET
esrj-104741	112	5	first	first	ADJ
esrj-104741	112	6	method	method	NOUN
esrj-104741	112	7	,	,	PUNCT
esrj-104741	112	8	which	which	PRON
esrj-104741	112	9	is	be	AUX
esrj-104741	112	10	“	"	PUNCT
esrj-104741	112	11	oversampling	oversampling	ADJ
esrj-104741	112	12	”	"	PUNCT
esrj-104741	112	13	technique	technique	NOUN
esrj-104741	112	14	,	,	PUNCT
esrj-104741	112	15	to	to	PART
esrj-104741	112	16	construct	construct	VERB
esrj-104741	112	17	a	a	DET
esrj-104741	112	18	balanced	balanced	ADJ
esrj-104741	112	19	random	random	ADJ
esrj-104741	112	20	forest	forest	NOUN
esrj-104741	112	21	algorithm	algorithm	NOUN
esrj-104741	112	22	.	.	PUNCT
esrj-104741	113	1	specifically	specifically	ADV
esrj-104741	113	2	,	,	PUNCT
esrj-104741	113	3	there	there	PRON
esrj-104741	113	4	are	be	VERB
esrj-104741	113	5	two	two	NUM
esrj-104741	113	6	ways	way	NOUN
esrj-104741	113	7	to	to	PART
esrj-104741	113	8	equalize	equalize	VERB
esrj-104741	113	9	the	the	DET
esrj-104741	113	10	number	number	NOUN
esrj-104741	113	11	of	of	ADP
esrj-104741	113	12	samples	sample	NOUN
esrj-104741	113	13	of	of	ADP
esrj-104741	113	14	each	each	DET
esrj-104741	113	15	type	type	NOUN
esrj-104741	113	16	of	of	ADP
esrj-104741	113	17	sample	sample	NOUN
esrj-104741	113	18	in	in	ADP
esrj-104741	113	19	the	the	DET
esrj-104741	113	20	sample	sample	NOUN
esrj-104741	113	21	set	set	NOUN
esrj-104741	113	22	.	.	PUNCT
esrj-104741	114	1	one	one	NUM
esrj-104741	114	2	is	be	AUX
esrj-104741	114	3	to	to	PART
esrj-104741	114	4	randomly	randomly	ADV
esrj-104741	114	5	select	select	VERB
esrj-104741	114	6	the	the	DET
esrj-104741	114	7	same	same	ADJ
esrj-104741	114	8	number	number	NOUN
esrj-104741	114	9	of	of	ADP
esrj-104741	114	10	samples	sample	NOUN
esrj-104741	114	11	as	as	ADP
esrj-104741	114	12	the	the	DET
esrj-104741	114	13	class	class	NOUN
esrj-104741	114	14	with	with	ADP
esrj-104741	114	15	the	the	DET
esrj-104741	114	16	smallest	small	ADJ
esrj-104741	114	17	number	number	NOUN
esrj-104741	114	18	as	as	ADP
esrj-104741	114	19	samples	sample	NOUN
esrj-104741	114	20	of	of	ADP
esrj-104741	114	21	this	this	DET
esrj-104741	114	22	class	class	NOUN
esrj-104741	114	23	by	by	ADP
esrj-104741	114	24	“	"	PUNCT
esrj-104741	114	25	under	under	ADV
esrj-104741	114	26	-	-	PUNCT
esrj-104741	114	27	sampling	sampling	NOUN
esrj-104741	114	28	”	"	PUNCT
esrj-104741	114	29	the	the	DET
esrj-104741	114	30	samples	sample	NOUN
esrj-104741	114	31	of	of	ADP
esrj-104741	114	32	a	a	DET
esrj-104741	114	33	larger	large	ADJ
esrj-104741	114	34	number	number	NOUN
esrj-104741	114	35	of	of	ADP
esrj-104741	114	36	categories	category	NOUN
esrj-104741	114	37	.	.	PUNCT
esrj-104741	115	1	this	this	PRON
esrj-104741	115	2	will	will	AUX
esrj-104741	115	3	give	give	VERB
esrj-104741	115	4	you	you	PRON
esrj-104741	115	5	a	a	DET
esrj-104741	115	6	new	new	ADJ
esrj-104741	115	7	sample	sample	NOUN
esrj-104741	115	8	set	set	NOUN
esrj-104741	115	9	.	.	PUNCT
esrj-104741	116	1	the	the	DET
esrj-104741	116	2	number	number	NOUN
esrj-104741	116	3	of	of	ADP
esrj-104741	116	4	samples	sample	NOUN
esrj-104741	116	5	of	of	ADP
esrj-104741	116	6	each	each	DET
esrj-104741	116	7	type	type	NOUN
esrj-104741	116	8	in	in	ADP
esrj-104741	116	9	the	the	DET
esrj-104741	116	10	sample	sample	NOUN
esrj-104741	116	11	set	set	NOUN
esrj-104741	116	12	is	be	AUX
esrj-104741	116	13	equal	equal	ADJ
esrj-104741	116	14	.	.	PUNCT
esrj-104741	117	1	therefore	therefore	ADV
esrj-104741	117	2	,	,	PUNCT
esrj-104741	117	3	during	during	ADP
esrj-104741	117	4	self	self	NOUN
esrj-104741	117	5	-	-	PUNCT
esrj-104741	117	6	service	service	NOUN
esrj-104741	117	7	sampling	sampling	NOUN
esrj-104741	117	8	,	,	PUNCT
esrj-104741	117	9	each	each	DET
esrj-104741	117	10	type	type	NOUN
esrj-104741	117	11	of	of	ADP
esrj-104741	117	12	sample	sample	NOUN
esrj-104741	117	13	may	may	AUX
esrj-104741	117	14	be	be	AUX
esrj-104741	117	15	selected	select	VERB
esrj-104741	117	16	into	into	ADP
esrj-104741	117	17	the	the	DET
esrj-104741	117	18	training	training	NOUN
esrj-104741	117	19	set	set	NOUN
esrj-104741	117	20	,	,	PUNCT
esrj-104741	117	21	and	and	CCONJ
esrj-104741	117	22	there	there	PRON
esrj-104741	117	23	will	will	AUX
esrj-104741	117	24	be	be	AUX
esrj-104741	117	25	no	no	DET
esrj-104741	117	26	sample	sample	NOUN
esrj-104741	117	27	imbalance	imbalance	NOUN
esrj-104741	117	28	.	.	PUNCT
esrj-104741	118	1	as	as	ADP
esrj-104741	118	2	a	a	DET
esrj-104741	118	3	result	result	NOUN
esrj-104741	118	4	,	,	PUNCT
esrj-104741	118	5	the	the	DET
esrj-104741	118	6	model	model	NOUN
esrj-104741	118	7	has	have	VERB
esrj-104741	118	8	insufficient	insufficient	ADJ
esrj-104741	118	9	learning	learning	NOUN
esrj-104741	118	10	ability	ability	NOUN
esrj-104741	118	11	for	for	ADP
esrj-104741	118	12	certain	certain	ADJ
esrj-104741	118	13	types	type	NOUN
esrj-104741	118	14	of	of	ADP
esrj-104741	118	15	samples	sample	NOUN
esrj-104741	118	16	,	,	PUNCT
esrj-104741	118	17	or	or	CCONJ
esrj-104741	118	18	can	can	AUX
esrj-104741	118	19	not	not	PART
esrj-104741	118	20	learn	learn	VERB
esrj-104741	118	21	.	.	PUNCT
esrj-104741	119	1	but	but	CCONJ
esrj-104741	119	2	the	the	DET
esrj-104741	119	3	biggest	big	ADJ
esrj-104741	119	4	problem	problem	NOUN
esrj-104741	119	5	with	with	ADP
esrj-104741	119	6	this	this	DET
esrj-104741	119	7	method	method	NOUN
esrj-104741	119	8	is	be	AUX
esrj-104741	119	9	that	that	SCONJ
esrj-104741	119	10	in	in	ADP
esrj-104741	119	11	the	the	DET
esrj-104741	119	12	process	process	NOUN
esrj-104741	119	13	of	of	ADP
esrj-104741	119	14	undersampling	undersample	VERB
esrj-104741	119	15	,	,	PUNCT
esrj-104741	119	16	a	a	DET
esrj-104741	119	17	lot	lot	NOUN
esrj-104741	119	18	of	of	ADP
esrj-104741	119	19	information	information	NOUN
esrj-104741	119	20	will	will	AUX
esrj-104741	119	21	be	be	AUX
esrj-104741	119	22	lost	lose	VERB
esrj-104741	119	23	.	.	PUNCT
esrj-104741	120	1	because	because	SCONJ
esrj-104741	120	2	the	the	DET
esrj-104741	120	3	selection	selection	NOUN
esrj-104741	120	4	process	process	NOUN
esrj-104741	120	5	is	be	AUX
esrj-104741	120	6	completely	completely	ADV
esrj-104741	120	7	random	random	ADJ
esrj-104741	120	8	,	,	PUNCT
esrj-104741	120	9	the	the	DET
esrj-104741	120	10	information	information	NOUN
esrj-104741	120	11	of	of	ADP
esrj-104741	120	12	some	some	DET
esrj-104741	120	13	samples	sample	NOUN
esrj-104741	120	14	can	can	AUX
esrj-104741	120	15	not	not	PART
esrj-104741	120	16	enter	enter	VERB
esrj-104741	120	17	the	the	DET
esrj-104741	120	18	training	training	NOUN
esrj-104741	120	19	set	set	NOUN
esrj-104741	120	20	and	and	CCONJ
esrj-104741	120	21	be	be	AUX
esrj-104741	120	22	learned	learn	VERB
esrj-104741	120	23	by	by	ADP
esrj-104741	120	24	the	the	DET
esrj-104741	120	25	model	model	NOUN
esrj-104741	120	26	.	.	PUNCT
esrj-104741	121	1	the	the	DET
esrj-104741	121	2	other	other	ADJ
esrj-104741	121	3	way	way	NOUN
esrj-104741	121	4	is	be	AUX
esrj-104741	121	5	“	"	PUNCT
esrj-104741	121	6	oversampling	oversample	VERB
esrj-104741	121	7	”	"	PUNCT
esrj-104741	121	8	,	,	PUNCT
esrj-104741	121	9	in	in	ADP
esrj-104741	121	10	which	which	PRON
esrj-104741	121	11	a	a	DET
esrj-104741	121	12	random	random	ADJ
esrj-104741	121	13	sample	sample	NOUN
esrj-104741	121	14	with	with	ADP
esrj-104741	121	15	replacement	replacement	NOUN
esrj-104741	121	16	in	in	ADP
esrj-104741	121	17	the	the	DET
esrj-104741	121	18	current	current	ADJ
esrj-104741	121	19	class	class	NOUN
esrj-104741	121	20	is	be	AUX
esrj-104741	121	21	selected	select	VERB
esrj-104741	121	22	and	and	CCONJ
esrj-104741	121	23	replicated	replicate	VERB
esrj-104741	121	24	until	until	SCONJ
esrj-104741	121	25	it	it	PRON
esrj-104741	121	26	is	be	AUX
esrj-104741	121	27	the	the	DET
esrj-104741	121	28	same	same	ADJ
esrj-104741	121	29	as	as	ADP
esrj-104741	121	30	the	the	DET
esrj-104741	121	31	number	number	NOUN
esrj-104741	121	32	of	of	ADP
esrj-104741	121	33	main	main	ADJ
esrj-104741	121	34	samples	sample	NOUN
esrj-104741	121	35	.	.	PUNCT
esrj-104741	122	1	this	this	PRON
esrj-104741	122	2	avoids	avoid	VERB
esrj-104741	122	3	the	the	DET
esrj-104741	122	4	loss	loss	NOUN
esrj-104741	122	5	of	of	ADP
esrj-104741	122	6	a	a	DET
esrj-104741	122	7	lot	lot	NOUN
esrj-104741	122	8	of	of	ADP
esrj-104741	122	9	information	information	NOUN
esrj-104741	122	10	from	from	ADP
esrj-104741	122	11	undersampling	undersample	VERB
esrj-104741	122	12	.	.	PUNCT
esrj-104741	123	1	but	but	CCONJ
esrj-104741	123	2	the	the	DET
esrj-104741	123	3	shortcomings	shortcoming	NOUN
esrj-104741	123	4	are	be	AUX
esrj-104741	123	5	also	also	ADV
esrj-104741	123	6	obvious	obvious	ADJ
esrj-104741	123	7	.	.	PUNCT
esrj-104741	124	1	for	for	ADP
esrj-104741	124	2	example	example	NOUN
esrj-104741	124	3	,	,	PUNCT
esrj-104741	124	4	in	in	ADP
esrj-104741	124	5	the	the	DET
esrj-104741	124	6	west	west	NOUN
esrj-104741	124	7	of	of	ADP
esrj-104741	124	8	the	the	DET
esrj-104741	124	9	liaohe	liaohe	NOUN
esrj-104741	124	10	river	river	NOUN
esrj-104741	124	11	,	,	PUNCT
esrj-104741	124	12	there	there	PRON
esrj-104741	124	13	is	be	VERB
esrj-104741	124	14	only	only	ADV
esrj-104741	124	15	one	one	NUM
esrj-104741	124	16	water	water	NOUN
esrj-104741	124	17	-	-	PUNCT
esrj-104741	124	18	bearing	bear	VERB
esrj-104741	124	19	oil	oil	NOUN
esrj-104741	124	20	layer	layer	NOUN
esrj-104741	124	21	sample	sample	NOUN
esrj-104741	124	22	.	.	PUNCT
esrj-104741	125	1	if	if	SCONJ
esrj-104741	125	2	you	you	PRON
esrj-104741	125	3	replicate	replicate	VERB
esrj-104741	125	4	this	this	DET
esrj-104741	125	5	sample	sample	NOUN
esrj-104741	125	6	47	47	NUM
esrj-104741	125	7	times	time	NOUN
esrj-104741	125	8	,	,	PUNCT
esrj-104741	125	9	you	you	PRON
esrj-104741	125	10	get	get	VERB
esrj-104741	125	11	48	48	NUM
esrj-104741	125	12	identical	identical	ADJ
esrj-104741	125	13	samples	sample	NOUN
esrj-104741	125	14	.	.	PUNCT
esrj-104741	126	1	if	if	SCONJ
esrj-104741	126	2	the	the	DET
esrj-104741	126	3	learner	learner	NOUN
esrj-104741	126	4	learns	learn	VERB
esrj-104741	126	5	it	it	PRON
esrj-104741	126	6	,	,	PUNCT
esrj-104741	126	7	it	it	PRON
esrj-104741	126	8	will	will	AUX
esrj-104741	126	9	lead	lead	VERB
esrj-104741	126	10	to	to	ADP
esrj-104741	126	11	serious	serious	ADJ
esrj-104741	126	12	overfitting	overfitting	NOUN
esrj-104741	126	13	,	,	PUNCT
esrj-104741	126	14	and	and	CCONJ
esrj-104741	126	15	the	the	DET
esrj-104741	126	16	generalization	generalization	NOUN
esrj-104741	126	17	ability	ability	NOUN
esrj-104741	126	18	to	to	ADP
esrj-104741	126	19	the	the	DET
esrj-104741	126	20	new	new	ADJ
esrj-104741	126	21	water	water	NOUN
esrj-104741	126	22	-	-	PUNCT
esrj-104741	126	23	bearing	bear	VERB
esrj-104741	126	24	oil	oil	NOUN
esrj-104741	126	25	layer	layer	NOUN
esrj-104741	126	26	samples	sample	NOUN
esrj-104741	126	27	is	be	AUX
esrj-104741	126	28	weak	weak	ADJ
esrj-104741	126	29	.	.	PUNCT
esrj-104741	127	1	the	the	DET
esrj-104741	127	2	samples	sample	NOUN
esrj-104741	127	3	are	be	AUX
esrj-104741	127	4	classified	classify	VERB
esrj-104741	127	5	because	because	SCONJ
esrj-104741	127	6	the	the	DET
esrj-104741	127	7	learner	learner	NOUN
esrj-104741	127	8	can	can	AUX
esrj-104741	127	9	not	not	PART
esrj-104741	127	10	delineate	delineate	VERB
esrj-104741	127	11	a	a	DET
esrj-104741	127	12	valid	valid	ADJ
esrj-104741	127	13	region	region	NOUN
esrj-104741	127	14	in	in	ADP
esrj-104741	127	15	the	the	DET
esrj-104741	127	16	feature	feature	NOUN
esrj-104741	127	17	space	space	NOUN
esrj-104741	127	18	.	.	PUNCT
esrj-104741	128	1	chawla	chawla	PROPN
esrj-104741	128	2	et	et	PROPN
esrj-104741	128	3	al	al	PROPN
esrj-104741	128	4	.	.	PROPN
esrj-104741	128	5	(	(	PUNCT
esrj-104741	128	6	2004	2004	NUM
esrj-104741	128	7	)	)	PUNCT
esrj-104741	128	8	proposed	propose	VERB
esrj-104741	128	9	a	a	DET
esrj-104741	128	10	method	method	NOUN
esrj-104741	128	11	called	call	VERB
esrj-104741	128	12	smote	smote	NOUN
esrj-104741	128	13	that	that	PRON
esrj-104741	128	14	could	could	AUX
esrj-104741	128	15	effectively	effectively	ADV
esrj-104741	128	16	improve	improve	VERB
esrj-104741	128	17	the	the	DET
esrj-104741	128	18	overfitting	overfitte	VERB
esrj-104741	128	19	problem	problem	NOUN
esrj-104741	128	20	caused	cause	VERB
esrj-104741	128	21	by	by	ADP
esrj-104741	128	22	replicating	replicate	VERB
esrj-104741	128	23	samples	sample	NOUN
esrj-104741	128	24	during	during	ADP
esrj-104741	128	25	“	"	PUNCT
esrj-104741	128	26	oversampling	oversampling	ADJ
esrj-104741	128	27	”	"	PUNCT
esrj-104741	128	28	.	.	PUNCT
esrj-104741	129	1	the	the	DET
esrj-104741	129	2	basic	basic	ADJ
esrj-104741	129	3	process	process	NOUN
esrj-104741	129	4	of	of	ADP
esrj-104741	129	5	the	the	DET
esrj-104741	129	6	smote	smote	ADJ
esrj-104741	129	7	method	method	NOUN
esrj-104741	129	8	is	be	AUX
esrj-104741	129	9	that	that	SCONJ
esrj-104741	129	10	in	in	ADP
esrj-104741	129	11	the	the	DET
esrj-104741	129	12	small	small	ADJ
esrj-104741	129	13	category	category	NOUN
esrj-104741	129	14	sample	sample	NOUN
esrj-104741	129	15	,	,	PUNCT
esrj-104741	129	16	a	a	DET
esrj-104741	129	17	sample	sample	NOUN
esrj-104741	129	18	is	be	AUX
esrj-104741	129	19	selected	select	VERB
esrj-104741	129	20	,	,	PUNCT
esrj-104741	129	21	and	and	CCONJ
esrj-104741	129	22	the	the	DET
esrj-104741	129	23	k	k	PROPN
esrj-104741	129	24	nearest	near	ADJ
esrj-104741	129	25	neighbor	neighbor	NOUN
esrj-104741	129	26	algorithm	algorithm	PROPN
esrj-104741	129	27	calculates	calculate	VERB
esrj-104741	129	28	the	the	DET
esrj-104741	129	29	k	k	PROPN
esrj-104741	129	30	samples	sample	NOUN
esrj-104741	129	31	that	that	PRON
esrj-104741	129	32	are	be	AUX
esrj-104741	129	33	closest	close	ADJ
esrj-104741	129	34	to	to	ADP
esrj-104741	129	35	the	the	DET
esrj-104741	129	36	sample	sample	NOUN
esrj-104741	129	37	,	,	PUNCT
esrj-104741	129	38	for	for	ADP
esrj-104741	129	39	each	each	DET
esrj-104741	129	40	feature	feature	NOUN
esrj-104741	129	41	,	,	PUNCT
esrj-104741	129	42	one	one	PRON
esrj-104741	129	43	is	be	AUX
esrj-104741	129	44	randomly	randomly	ADV
esrj-104741	129	45	selected	select	VERB
esrj-104741	129	46	from	from	ADP
esrj-104741	129	47	the	the	DET
esrj-104741	129	48	k	k	PROPN
esrj-104741	129	49	nearest	near	ADJ
esrj-104741	129	50	neighbor	neighbor	NOUN
esrj-104741	129	51	sample	sample	NOUN
esrj-104741	129	52	,	,	PUNCT
esrj-104741	129	53	the	the	DET
esrj-104741	129	54	difference	difference	NOUN
esrj-104741	129	55	between	between	ADP
esrj-104741	129	56	the	the	DET
esrj-104741	129	57	two	two	NUM
esrj-104741	129	58	features	feature	NOUN
esrj-104741	129	59	is	be	AUX
esrj-104741	129	60	calculated	calculate	VERB
esrj-104741	129	61	,	,	PUNCT
esrj-104741	129	62	multiplied	multiply	VERB
esrj-104741	129	63	by	by	ADP
esrj-104741	129	64	a	a	DET
esrj-104741	129	65	random	random	ADJ
esrj-104741	129	66	number	number	NOUN
esrj-104741	129	67	greater	great	ADJ
esrj-104741	129	68	than	than	ADP
esrj-104741	129	69	0	0	NUM
esrj-104741	129	70	less	less	ADJ
esrj-104741	129	71	than	than	ADP
esrj-104741	129	72	1	1	NUM
esrj-104741	129	73	,	,	PUNCT
esrj-104741	129	74	and	and	CCONJ
esrj-104741	129	75	then	then	ADV
esrj-104741	129	76	added	add	VERB
esrj-104741	129	77	back	back	ADV
esrj-104741	129	78	to	to	ADP
esrj-104741	129	79	the	the	DET
esrj-104741	129	80	original	original	ADJ
esrj-104741	129	81	sample	sample	NOUN
esrj-104741	129	82	,	,	PUNCT
esrj-104741	129	83	which	which	PRON
esrj-104741	129	84	is	be	AUX
esrj-104741	129	85	actually	actually	ADV
esrj-104741	129	86	a	a	DET
esrj-104741	129	87	point	point	NOUN
esrj-104741	129	88	on	on	ADP
esrj-104741	129	89	the	the	DET
esrj-104741	129	90	connection	connection	NOUN
esrj-104741	129	91	line	line	NOUN
esrj-104741	129	92	between	between	ADP
esrj-104741	129	93	the	the	DET
esrj-104741	129	94	two	two	NUM
esrj-104741	129	95	samples	sample	NOUN
esrj-104741	129	96	in	in	ADP
esrj-104741	129	97	the	the	DET
esrj-104741	129	98	feature	feature	NOUN
esrj-104741	129	99	space	space	NOUN
esrj-104741	129	100	,	,	PUNCT
esrj-104741	129	101	and	and	CCONJ
esrj-104741	129	102	then	then	ADV
esrj-104741	129	103	after	after	SCONJ
esrj-104741	129	104	all	all	DET
esrj-104741	129	105	the	the	DET
esrj-104741	129	106	features	feature	NOUN
esrj-104741	129	107	are	be	AUX
esrj-104741	129	108	done	do	VERB
esrj-104741	129	109	,	,	PUNCT
esrj-104741	129	110	a	a	DET
esrj-104741	129	111	new	new	ADJ
esrj-104741	129	112	sample	sample	NOUN
esrj-104741	129	113	can	can	AUX
esrj-104741	129	114	be	be	AUX
esrj-104741	129	115	obtained	obtain	VERB
esrj-104741	129	116	.	.	PUNCT
esrj-104741	130	1	this	this	DET
esrj-104741	130	2	method	method	NOUN
esrj-104741	130	3	can	can	AUX
esrj-104741	130	4	effectively	effectively	ADV
esrj-104741	130	5	make	make	VERB
esrj-104741	130	6	the	the	DET
esrj-104741	130	7	decision	decision	NOUN
esrj-104741	130	8	space	space	NOUN
esrj-104741	130	9	of	of	ADP
esrj-104741	130	10	small	small	ADJ
esrj-104741	130	11	category	category	NOUN
esrj-104741	130	12	samples	sample	VERB
esrj-104741	130	13	more	more	ADV
esrj-104741	130	14	generalized	generalize	VERB
esrj-104741	130	15	.	.	PUNCT
esrj-104741	131	1	for	for	ADP
esrj-104741	131	2	the	the	DET
esrj-104741	131	3	liaodong	liaodong	ADJ
esrj-104741	131	4	and	and	CCONJ
esrj-104741	131	5	western	western	ADJ
esrj-104741	131	6	liaoning	liaoning	PROPN
esrj-104741	131	7	data	datum	NOUN
esrj-104741	131	8	used	use	VERB
esrj-104741	131	9	in	in	ADP
esrj-104741	131	10	this	this	DET
esrj-104741	131	11	paper	paper	NOUN
esrj-104741	131	12	,	,	PUNCT
esrj-104741	131	13	if	if	SCONJ
esrj-104741	131	14	you	you	PRON
esrj-104741	131	15	choose	choose	VERB
esrj-104741	131	16	undersampling	undersample	VERB
esrj-104741	131	17	,	,	PUNCT
esrj-104741	131	18	the	the	DET
esrj-104741	131	19	samples	sample	NOUN
esrj-104741	131	20	of	of	ADP
esrj-104741	131	21	the	the	DET
esrj-104741	131	22	trained	train	VERB
esrj-104741	131	23	model	model	NOUN
esrj-104741	131	24	will	will	AUX
esrj-104741	131	25	be	be	AUX
esrj-104741	131	26	seriously	seriously	ADV
esrj-104741	131	27	insufficient	insufficient	ADJ
esrj-104741	131	28	,	,	PUNCT
esrj-104741	131	29	and	and	CCONJ
esrj-104741	131	30	the	the	DET
esrj-104741	131	31	performance	performance	NOUN
esrj-104741	131	32	of	of	ADP
esrj-104741	131	33	the	the	DET
esrj-104741	131	34	model	model	NOUN
esrj-104741	131	35	will	will	AUX
esrj-104741	131	36	be	be	AUX
esrj-104741	131	37	greatly	greatly	ADV
esrj-104741	131	38	reduced	reduce	VERB
esrj-104741	131	39	.	.	PUNCT
esrj-104741	132	1	in	in	ADP
esrj-104741	132	2	order	order	NOUN
esrj-104741	132	3	to	to	PART
esrj-104741	132	4	compare	compare	VERB
esrj-104741	132	5	the	the	DET
esrj-104741	132	6	impact	impact	NOUN
esrj-104741	132	7	of	of	ADP
esrj-104741	132	8	the	the	DET
esrj-104741	132	9	smote	smote	ADJ
esrj-104741	132	10	algorithm	algorithm	NOUN
esrj-104741	132	11	and	and	CCONJ
esrj-104741	132	12	the	the	DET
esrj-104741	132	13	“	"	PUNCT
esrj-104741	132	14	oversampling	oversampling	ADJ
esrj-104741	132	15	”	"	PUNCT
esrj-104741	132	16	method	method	NOUN
esrj-104741	132	17	by	by	ADP
esrj-104741	132	18	copying	copy	VERB
esrj-104741	132	19	on	on	ADP
esrj-104741	132	20	the	the	DET
esrj-104741	132	21	model	model	NOUN
esrj-104741	132	22	,	,	PUNCT
esrj-104741	132	23	this	this	DET
esrj-104741	132	24	article	article	NOUN
esrj-104741	132	25	will	will	AUX
esrj-104741	132	26	use	use	VERB
esrj-104741	132	27	two	two	NUM
esrj-104741	132	28	methods	method	NOUN
esrj-104741	132	29	to	to	PART
esrj-104741	132	30	calculate	calculate	VERB
esrj-104741	132	31	the	the	DET
esrj-104741	132	32	out	out	ADJ
esrj-104741	132	33	-	-	PUNCT
esrj-104741	132	34	of	of	ADP
esrj-104741	132	35	-	-	PUNCT
esrj-104741	132	36	package	package	NOUN
esrj-104741	132	37	estimation	estimation	NOUN
esrj-104741	132	38	accuracy	accuracy	NOUN
esrj-104741	132	39	.	.	PUNCT
esrj-104741	133	1	first	first	ADV
esrj-104741	133	2	,	,	PUNCT
esrj-104741	133	3	calculate	calculate	VERB
esrj-104741	133	4	which	which	DET
esrj-104741	133	5	type	type	NOUN
esrj-104741	133	6	of	of	ADP
esrj-104741	133	7	sample	sample	NOUN
esrj-104741	133	8	has	have	VERB
esrj-104741	133	9	the	the	DET
esrj-104741	133	10	most	most	ADJ
esrj-104741	133	11	samples	sample	NOUN
esrj-104741	133	12	in	in	ADP
esrj-104741	133	13	the	the	DET
esrj-104741	133	14	area	area	NOUN
esrj-104741	133	15	,	,	PUNCT
esrj-104741	133	16	and	and	CCONJ
esrj-104741	133	17	then	then	ADV
esrj-104741	133	18	expand	expand	VERB
esrj-104741	133	19	the	the	DET
esrj-104741	133	20	other	other	ADJ
esrj-104741	133	21	categories	category	NOUN
esrj-104741	133	22	through	through	ADP
esrj-104741	133	23	“	"	PUNCT
esrj-104741	133	24	oversampling	oversampling	VERB
esrj-104741	133	25	”	"	PUNCT
esrj-104741	133	26	,	,	PUNCT
esrj-104741	133	27	and	and	CCONJ
esrj-104741	133	28	use	use	VERB
esrj-104741	133	29	the	the	DET
esrj-104741	133	30	“	"	PUNCT
esrj-104741	133	31	oversampled	oversample	VERB
esrj-104741	133	32	”	"	PUNCT
esrj-104741	133	33	dataset	dataset	NOUN
esrj-104741	133	34	to	to	PART
esrj-104741	133	35	train	train	VERB
esrj-104741	133	36	the	the	DET
esrj-104741	133	37	model	model	NOUN
esrj-104741	133	38	.	.	PUNCT
esrj-104741	134	1	since	since	SCONJ
esrj-104741	134	2	there	there	PRON
esrj-104741	134	3	is	be	VERB
esrj-104741	134	4	only	only	ADV
esrj-104741	134	5	one	one	NUM
esrj-104741	134	6	“	"	PUNCT
esrj-104741	134	7	oil	oil	NOUN
esrj-104741	134	8	and	and	CCONJ
esrj-104741	134	9	water	water	NOUN
esrj-104741	134	10	layer	layer	NOUN
esrj-104741	134	11	“	"	PUNCT
esrj-104741	134	12	sample	sample	NOUN
esrj-104741	134	13	in	in	ADP
esrj-104741	134	14	the	the	DET
esrj-104741	134	15	western	western	ADJ
esrj-104741	134	16	part	part	NOUN
esrj-104741	134	17	of	of	ADP
esrj-104741	134	18	the	the	DET
esrj-104741	134	19	liaohe	liaohe	NOUN
esrj-104741	134	20	river	river	NOUN
esrj-104741	134	21	,	,	PUNCT
esrj-104741	134	22	even	even	ADV
esrj-104741	134	23	if	if	SCONJ
esrj-104741	134	24	the	the	DET
esrj-104741	134	25	move	move	NOUN
esrj-104741	134	26	method	method	NOUN
esrj-104741	134	27	is	be	AUX
esrj-104741	134	28	used	use	VERB
esrj-104741	134	29	,	,	PUNCT
esrj-104741	134	30	it	it	PRON
esrj-104741	134	31	can	can	AUX
esrj-104741	134	32	not	not	PART
esrj-104741	134	33	be	be	AUX
esrj-104741	134	34	effectively	effectively	ADV
esrj-104741	134	35	expanded	expand	VERB
esrj-104741	134	36	.	.	PUNCT
esrj-104741	135	1	if	if	SCONJ
esrj-104741	135	2	it	it	PRON
esrj-104741	135	3	is	be	AUX
esrj-104741	135	4	copied	copy	VERB
esrj-104741	135	5	47	47	NUM
esrj-104741	135	6	,	,	PUNCT
esrj-104741	135	7	it	it	PRON
esrj-104741	135	8	will	will	AUX
esrj-104741	135	9	cause	cause	VERB
esrj-104741	135	10	the	the	DET
esrj-104741	135	11	model	model	NOUN
esrj-104741	135	12	to	to	PART
esrj-104741	135	13	be	be	AUX
esrj-104741	135	14	seriously	seriously	ADV
esrj-104741	135	15	overfitted	overfitte	VERB
esrj-104741	135	16	.	.	PUNCT
esrj-104741	136	1	when	when	SCONJ
esrj-104741	136	2	calculating	calculate	VERB
esrj-104741	136	3	the	the	DET
esrj-104741	136	4	out	out	ADJ
esrj-104741	136	5	-	-	PUNCT
esrj-104741	136	6	of	of	ADP
esrj-104741	136	7	-	-	PUNCT
esrj-104741	136	8	package	package	NOUN
esrj-104741	136	9	estimation	estimation	NOUN
esrj-104741	136	10	accuracy	accuracy	NOUN
esrj-104741	136	11	,	,	PUNCT
esrj-104741	136	12	it	it	PRON
esrj-104741	136	13	will	will	AUX
esrj-104741	136	14	also	also	ADV
esrj-104741	136	15	be	be	AUX
esrj-104741	136	16	affected	affect	VERB
esrj-104741	136	17	,	,	PUNCT
esrj-104741	136	18	resulting	result	VERB
esrj-104741	136	19	in	in	ADP
esrj-104741	136	20	a	a	DET
esrj-104741	136	21	higher	high	ADJ
esrj-104741	136	22	accuracy	accuracy	NOUN
esrj-104741	136	23	obtained	obtain	VERB
esrj-104741	136	24	than	than	ADP
esrj-104741	136	25	normal	normal	ADJ
esrj-104741	136	26	,	,	PUNCT
esrj-104741	136	27	so	so	SCONJ
esrj-104741	136	28	this	this	DET
esrj-104741	136	29	point	point	NOUN
esrj-104741	136	30	is	be	AUX
esrj-104741	136	31	deleted	delete	VERB
esrj-104741	136	32	here	here	ADV
esrj-104741	136	33	.	.	PUNCT
esrj-104741	137	1	through	through	ADP
esrj-104741	137	2	“	"	PUNCT
esrj-104741	137	3	oversampling	oversampling	VERB
esrj-104741	137	4	”	"	PUNCT
esrj-104741	137	5	,	,	PUNCT
esrj-104741	137	6	the	the	DET
esrj-104741	137	7	number	number	NOUN
esrj-104741	137	8	of	of	ADP
esrj-104741	137	9	samples	sample	NOUN
esrj-104741	137	10	in	in	ADP
esrj-104741	137	11	the	the	DET
esrj-104741	137	12	eastern	eastern	ADJ
esrj-104741	137	13	part	part	NOUN
esrj-104741	137	14	of	of	ADP
esrj-104741	137	15	the	the	DET
esrj-104741	137	16	liaohe	liaohe	NOUN
esrj-104741	137	17	river	river	PROPN
esrj-104741	137	18	expanded	expand	VERB
esrj-104741	137	19	to	to	ADP
esrj-104741	137	20	155	155	NUM
esrj-104741	137	21	and	and	CCONJ
esrj-104741	137	22	the	the	DET
esrj-104741	137	23	western	western	ADJ
esrj-104741	137	24	part	part	NOUN
esrj-104741	137	25	of	of	ADP
esrj-104741	137	26	the	the	DET
esrj-104741	137	27	liaohe	liaohe	NOUN
esrj-104741	137	28	river	river	NOUN
esrj-104741	137	29	to	to	ADP
esrj-104741	137	30	288	288	NUM
esrj-104741	137	31	.	.	PUNCT
esrj-104741	138	1	train	train	VERB
esrj-104741	138	2	a	a	DET
esrj-104741	138	3	random	random	ADJ
esrj-104741	138	4	forest	forest	NOUN
esrj-104741	138	5	with	with	ADP
esrj-104741	138	6	an	an	DET
esrj-104741	138	7	enriched	enriched	ADJ
esrj-104741	138	8	dataset	dataset	NOUN
esrj-104741	138	9	and	and	CCONJ
esrj-104741	138	10	measure	measure	VERB
esrj-104741	138	11	its	its	PRON
esrj-104741	138	12	performance	performance	NOUN
esrj-104741	138	13	with	with	ADP
esrj-104741	138	14	out	out	ADV
esrj-104741	138	15	-	-	PUNCT
esrj-104741	138	16	of	of	ADP
esrj-104741	138	17	-	-	PUNCT
esrj-104741	138	18	package	package	NOUN
esrj-104741	138	19	estimation	estimation	NOUN
esrj-104741	138	20	accuracy	accuracy	NOUN
esrj-104741	138	21	.	.	PUNCT
esrj-104741	139	1	however	however	ADV
esrj-104741	139	2	,	,	PUNCT
esrj-104741	139	3	if	if	SCONJ
esrj-104741	139	4	the	the	DET
esrj-104741	139	5	sample	sample	NOUN
esrj-104741	139	6	is	be	AUX
esrj-104741	139	7	balanced	balance	VERB
esrj-104741	139	8	by	by	ADP
esrj-104741	139	9	copying	copy	VERB
esrj-104741	139	10	the	the	DET
esrj-104741	139	11	“	"	PUNCT
esrj-104741	139	12	oversampling	oversampling	NOUN
esrj-104741	139	13	”	"	PUNCT
esrj-104741	139	14	,	,	PUNCT
esrj-104741	139	15	then	then	ADV
esrj-104741	139	16	using	use	VERB
esrj-104741	139	17	the	the	DET
esrj-104741	139	18	processed	process	VERB
esrj-104741	139	19	sample	sample	NOUN
esrj-104741	139	20	to	to	PART
esrj-104741	139	21	calculate	calculate	VERB
esrj-104741	139	22	the	the	DET
esrj-104741	139	23	out	out	ADJ
esrj-104741	139	24	-	-	PUNCT
esrj-104741	139	25	of	of	ADP
esrj-104741	139	26	-	-	PUNCT
esrj-104741	139	27	package	package	NOUN
esrj-104741	139	28	estimate	estimate	NOUN
esrj-104741	139	29	is	be	AUX
esrj-104741	139	30	less	less	ADV
esrj-104741	139	31	efficient	efficient	ADJ
esrj-104741	139	32	.	.	PUNCT
esrj-104741	140	1	because	because	SCONJ
esrj-104741	140	2	“	"	PUNCT
esrj-104741	140	3	oversampling	oversampling	NOUN
esrj-104741	140	4	”	"	PUNCT
esrj-104741	140	5	will	will	AUX
esrj-104741	140	6	lead	lead	VERB
esrj-104741	140	7	to	to	ADP
esrj-104741	140	8	overfitting	overfitte	VERB
esrj-104741	140	9	,	,	PUNCT
esrj-104741	140	10	take	take	VERB
esrj-104741	140	11	the	the	DET
esrj-104741	140	12	sample	sample	NOUN
esrj-104741	140	13	in	in	ADP
esrj-104741	140	14	the	the	DET
esrj-104741	140	15	western	western	ADJ
esrj-104741	140	16	liaohe	liaohe	PROPN
esrj-104741	140	17	river	river	NOUN
esrj-104741	140	18	,	,	PUNCT
esrj-104741	140	19	for	for	ADP
esrj-104741	140	20	example	example	NOUN
esrj-104741	140	21	,	,	PUNCT
esrj-104741	140	22	because	because	SCONJ
esrj-104741	140	23	there	there	PRON
esrj-104741	140	24	is	be	VERB
esrj-104741	140	25	only	only	ADV
esrj-104741	140	26	one	one	NUM
esrj-104741	140	27	aquifer	aquifer	NOUN
esrj-104741	140	28	sample	sample	NOUN
esrj-104741	140	29	,	,	PUNCT
esrj-104741	140	30	if	if	SCONJ
esrj-104741	140	31	the	the	DET
esrj-104741	140	32	learner	learner	NOUN
esrj-104741	140	33	completely	completely	ADV
esrj-104741	140	34	“	"	PUNCT
esrj-104741	140	35	writes	write	VERB
esrj-104741	140	36	down	down	ADP
esrj-104741	140	37	”	"	PUNCT
esrj-104741	140	38	the	the	DET
esrj-104741	140	39	characteristics	characteristic	NOUN
esrj-104741	140	40	of	of	ADP
esrj-104741	140	41	this	this	DET
esrj-104741	140	42	sample	sample	NOUN
esrj-104741	140	43	,	,	PUNCT
esrj-104741	140	44	then	then	ADV
esrj-104741	140	45	the	the	DET
esrj-104741	140	46	sample	sample	NOUN
esrj-104741	140	47	after	after	ADP
esrj-104741	140	48	“	"	PUNCT
esrj-104741	140	49	oversampling	oversampling	NOUN
esrj-104741	140	50	”	"	PUNCT
esrj-104741	140	51	is	be	AUX
esrj-104741	140	52	used	use	VERB
esrj-104741	140	53	,	,	PUNCT
esrj-104741	140	54	it	it	PRON
esrj-104741	140	55	will	will	AUX
esrj-104741	140	56	successfully	successfully	ADV
esrj-104741	140	57	judge	judge	VERB
esrj-104741	140	58	48	48	NUM
esrj-104741	140	59	times	time	NOUN
esrj-104741	140	60	,	,	PUNCT
esrj-104741	140	61	which	which	PRON
esrj-104741	140	62	will	will	AUX
esrj-104741	140	63	make	make	VERB
esrj-104741	140	64	the	the	DET
esrj-104741	140	65	calculation	calculation	NOUN
esrj-104741	140	66	of	of	ADP
esrj-104741	140	67	the	the	DET
esrj-104741	140	68	learner	learner	NOUN
esrj-104741	140	69	accuracy	accuracy	NOUN
esrj-104741	140	70	,	,	PUNCT
esrj-104741	140	71	the	the	DET
esrj-104741	140	72	molecular	molecular	ADJ
esrj-104741	140	73	denominator	denominator	NOUN
esrj-104741	140	74	increases	increase	NOUN
esrj-104741	140	75	by	by	ADP
esrj-104741	140	76	47	47	NUM
esrj-104741	140	77	at	at	ADP
esrj-104741	140	78	the	the	DET
esrj-104741	140	79	same	same	ADJ
esrj-104741	140	80	time	time	NOUN
esrj-104741	140	81	,	,	PUNCT
esrj-104741	140	82	resulting	result	VERB
esrj-104741	140	83	in	in	ADP
esrj-104741	140	84	an	an	DET
esrj-104741	140	85	increase	increase	NOUN
esrj-104741	140	86	in	in	ADP
esrj-104741	140	87	accuracy	accuracy	NOUN
esrj-104741	140	88	.	.	PUNCT
esrj-104741	141	1	even	even	ADV
esrj-104741	141	2	if	if	SCONJ
esrj-104741	141	3	it	it	PRON
esrj-104741	141	4	is	be	AUX
esrj-104741	141	5	deleted	delete	VERB
esrj-104741	141	6	,	,	PUNCT
esrj-104741	141	7	then	then	ADV
esrj-104741	141	8	in	in	ADP
esrj-104741	141	9	other	other	ADJ
esrj-104741	141	10	small	small	ADJ
esrj-104741	141	11	categories	category	NOUN
esrj-104741	141	12	of	of	ADP
esrj-104741	141	13	samples	sample	NOUN
esrj-104741	141	14	,	,	PUNCT
esrj-104741	141	15	a	a	DET
esrj-104741	141	16	similar	similar	ADJ
esrj-104741	141	17	situation	situation	NOUN
esrj-104741	141	18	will	will	AUX
esrj-104741	141	19	occur	occur	VERB
esrj-104741	141	20	,	,	PUNCT
esrj-104741	141	21	affecting	affect	VERB
esrj-104741	141	22	the	the	DET
esrj-104741	141	23	accuracy	accuracy	NOUN
esrj-104741	141	24	of	of	ADP
esrj-104741	141	25	the	the	DET
esrj-104741	141	26	model	model	NOUN
esrj-104741	141	27	,	,	PUNCT
esrj-104741	141	28	so	so	SCONJ
esrj-104741	141	29	the	the	DET
esrj-104741	141	30	original	original	ADJ
esrj-104741	141	31	sample	sample	NOUN
esrj-104741	141	32	should	should	AUX
esrj-104741	141	33	be	be	AUX
esrj-104741	141	34	used	use	VERB
esrj-104741	141	35	to	to	PART
esrj-104741	141	36	calculate	calculate	VERB
esrj-104741	141	37	the	the	DET
esrj-104741	141	38	out	out	ADJ
esrj-104741	141	39	-	-	PUNCT
esrj-104741	141	40	of	of	ADP
esrj-104741	141	41	-	-	PUNCT
esrj-104741	141	42	package	package	NOUN
esrj-104741	141	43	estimate	estimate	NOUN
esrj-104741	141	44	.	.	PUNCT
esrj-104741	142	1	3	3	X
esrj-104741	142	2	.	.	X
esrj-104741	142	3	adjust	adjust	VERB
esrj-104741	142	4	the	the	DET
esrj-104741	142	5	learner	learner	NOUN
esrj-104741	142	6	parameters	parameter	NOUN
esrj-104741	142	7	most	most	ADJ
esrj-104741	142	8	machine	machine	NOUN
esrj-104741	142	9	learning	learn	VERB
esrj-104741	142	10	algorithms	algorithm	NOUN
esrj-104741	142	11	have	have	VERB
esrj-104741	142	12	parameters	parameter	NOUN
esrj-104741	142	13	that	that	PRON
esrj-104741	142	14	need	need	VERB
esrj-104741	142	15	to	to	PART
esrj-104741	142	16	adjust	adjust	VERB
esrj-104741	142	17	and	and	CCONJ
esrj-104741	142	18	set	set	VERB
esrj-104741	142	19	,	,	PUNCT
esrj-104741	142	20	that	that	ADV
esrj-104741	142	21	is	is	ADV
esrj-104741	142	22	,	,	PUNCT
esrj-104741	142	23	tuning	tune	VERB
esrj-104741	142	24	parameters	parameter	NOUN
esrj-104741	142	25	.	.	PUNCT
esrj-104741	143	1	many	many	ADJ
esrj-104741	143	2	times	time	NOUN
esrj-104741	143	3	,	,	PUNCT
esrj-104741	143	4	the	the	DET
esrj-104741	143	5	setting	setting	NOUN
esrj-104741	143	6	of	of	ADP
esrj-104741	143	7	parameters	parameter	NOUN
esrj-104741	143	8	can	can	AUX
esrj-104741	143	9	often	often	ADV
esrj-104741	143	10	determine	determine	VERB
esrj-104741	143	11	the	the	DET
esrj-104741	143	12	quality	quality	NOUN
esrj-104741	143	13	of	of	ADP
esrj-104741	143	14	the	the	DET
esrj-104741	143	15	learner	learner	NOUN
esrj-104741	143	16	.	.	PUNCT
esrj-104741	144	1	for	for	ADP
esrj-104741	144	2	the	the	DET
esrj-104741	144	3	stochastic	stochastic	ADJ
esrj-104741	144	4	forest	forest	NOUN
esrj-104741	144	5	algorithm	algorithm	NOUN
esrj-104741	144	6	,	,	PUNCT
esrj-104741	144	7	there	there	PRON
esrj-104741	144	8	are	be	VERB
esrj-104741	144	9	also	also	ADV
esrj-104741	144	10	many	many	ADJ
esrj-104741	144	11	important	important	ADJ
esrj-104741	144	12	parameters	parameter	NOUN
esrj-104741	144	13	,	,	PUNCT
esrj-104741	144	14	such	such	ADJ
esrj-104741	144	15	as	as	ADP
esrj-104741	144	16	the	the	DET
esrj-104741	144	17	number	number	NOUN
esrj-104741	144	18	of	of	ADP
esrj-104741	144	19	base	base	NOUN
esrj-104741	144	20	learners	learner	NOUN
esrj-104741	144	21	,	,	PUNCT
esrj-104741	144	22	that	that	ADV
esrj-104741	144	23	is	is	ADV
esrj-104741	144	24	,	,	PUNCT
esrj-104741	144	25	the	the	DET
esrj-104741	144	26	number	number	NOUN
esrj-104741	144	27	of	of	ADP
esrj-104741	144	28	decision	decision	NOUN
esrj-104741	144	29	trees	tree	NOUN
esrj-104741	144	30	.	.	PUNCT
esrj-104741	145	1	how	how	SCONJ
esrj-104741	145	2	many	many	ADJ
esrj-104741	145	3	features	feature	VERB
esrj-104741	145	4	to	to	PART
esrj-104741	145	5	use	use	VERB
esrj-104741	145	6	for	for	ADP
esrj-104741	145	7	training	training	NOUN
esrj-104741	145	8	,	,	PUNCT
esrj-104741	145	9	etc	etc	X
esrj-104741	145	10	.	.	X
esrj-104741	145	11	out	out	ADV
esrj-104741	145	12	-	-	PUNCT
esrj-104741	145	13	of	of	ADP
esrj-104741	145	14	-	-	PUNCT
esrj-104741	145	15	package	package	NOUN
esrj-104741	145	16	estimation	estimation	NOUN
esrj-104741	145	17	used	use	VERB
esrj-104741	145	18	to	to	PART
esrj-104741	145	19	adjust	adjust	VERB
esrj-104741	145	20	the	the	DET
esrj-104741	145	21	parameters	parameter	NOUN
esrj-104741	145	22	.	.	PUNCT
esrj-104741	146	1	the	the	DET
esrj-104741	146	2	error	error	NOUN
esrj-104741	146	3	rate	rate	NOUN
esrj-104741	146	4	estimated	estimate	VERB
esrj-104741	146	5	out	out	ADP
esrj-104741	146	6	of	of	ADP
esrj-104741	146	7	package	package	NOUN
esrj-104741	146	8	is	be	AUX
esrj-104741	146	9	lower	low	ADJ
esrj-104741	146	10	,	,	PUNCT
esrj-104741	146	11	the	the	DET
esrj-104741	146	12	generalization	generalization	NOUN
esrj-104741	146	13	ability	ability	NOUN
esrj-104741	146	14	of	of	ADP
esrj-104741	146	15	the	the	DET
esrj-104741	146	16	adjusted	adjust	VERB
esrj-104741	146	17	model	model	NOUN
esrj-104741	146	18	is	be	AUX
esrj-104741	146	19	stronger	strong	ADJ
esrj-104741	146	20	.	.	PUNCT
esrj-104741	147	1	3.1	3.1	NUM
esrj-104741	147	2	the	the	DET
esrj-104741	147	3	number	number	NOUN
esrj-104741	147	4	of	of	ADP
esrj-104741	147	5	features	feature	NOUN
esrj-104741	147	6	used	use	VERB
esrj-104741	147	7	as	as	SCONJ
esrj-104741	147	8	can	can	AUX
esrj-104741	147	9	be	be	AUX
esrj-104741	147	10	seen	see	VERB
esrj-104741	147	11	from	from	ADP
esrj-104741	147	12	figure	figure	NOUN
esrj-104741	147	13	2	2	NUM
esrj-104741	147	14	and	and	CCONJ
esrj-104741	147	15	figure	figure	VERB
esrj-104741	147	16	3	3	NUM
esrj-104741	147	17	,	,	PUNCT
esrj-104741	147	18	when	when	SCONJ
esrj-104741	147	19	the	the	DET
esrj-104741	147	20	number	number	NOUN
esrj-104741	147	21	of	of	ADP
esrj-104741	147	22	base	base	NOUN
esrj-104741	147	23	learners	learner	NOUN
esrj-104741	147	24	is	be	AUX
esrj-104741	147	25	small	small	ADJ
esrj-104741	147	26	,	,	PUNCT
esrj-104741	147	27	the	the	DET
esrj-104741	147	28	accuracy	accuracy	NOUN
esrj-104741	147	29	is	be	AUX
esrj-104741	147	30	not	not	PART
esrj-104741	147	31	high	high	ADJ
esrj-104741	147	32	,	,	PUNCT
esrj-104741	147	33	and	and	CCONJ
esrj-104741	147	34	when	when	SCONJ
esrj-104741	147	35	15	15	NUM
esrj-104741	147	36	base	base	NOUN
esrj-104741	147	37	learners	learner	NOUN
esrj-104741	147	38	are	be	AUX
esrj-104741	147	39	reached	reach	VERB
esrj-104741	147	40	,	,	PUNCT
esrj-104741	147	41	the	the	DET
esrj-104741	147	42	accuracy	accuracy	NOUN
esrj-104741	147	43	can	can	AUX
esrj-104741	147	44	be	be	AUX
esrj-104741	147	45	stabilized	stabilize	VERB
esrj-104741	147	46	at	at	ADP
esrj-104741	147	47	90	90	NUM
esrj-104741	147	48	%	%	NOUN
esrj-104741	147	49	above	above	ADV
esrj-104741	147	50	,	,	PUNCT
esrj-104741	147	51	and	and	CCONJ
esrj-104741	147	52	then	then	ADV
esrj-104741	147	53	increase	increase	VERB
esrj-104741	147	54	the	the	DET
esrj-104741	147	55	number	number	NOUN
esrj-104741	147	56	of	of	ADP
esrj-104741	147	57	base	base	NOUN
esrj-104741	147	58	learners	learner	NOUN
esrj-104741	147	59	,	,	PUNCT
esrj-104741	147	60	the	the	DET
esrj-104741	147	61	effect	effect	NOUN
esrj-104741	147	62	on	on	ADP
esrj-104741	147	63	accuracy	accuracy	NOUN
esrj-104741	147	64	improvement	improvement	NOUN
esrj-104741	147	65	is	be	AUX
esrj-104741	147	66	not	not	PART
esrj-104741	147	67	large	large	ADJ
esrj-104741	147	68	.	.	PUNCT
esrj-104741	148	1	the	the	DET
esrj-104741	148	2	number	number	NOUN
esrj-104741	148	3	of	of	ADP
esrj-104741	148	4	base	base	NOUN
esrj-104741	148	5	learners	learner	NOUN
esrj-104741	148	6	is	be	AUX
esrj-104741	148	7	greater	great	ADJ
esrj-104741	148	8	,	,	PUNCT
esrj-104741	148	9	the	the	DET
esrj-104741	148	10	generalization	generalization	NOUN
esrj-104741	148	11	ability	ability	NOUN
esrj-104741	148	12	of	of	ADP
esrj-104741	148	13	the	the	DET
esrj-104741	148	14	integration	integration	NOUN
esrj-104741	148	15	is	be	AUX
esrj-104741	148	16	stronger	strong	ADJ
esrj-104741	148	17	.	.	PUNCT
esrj-104741	149	1	after	after	ADP
esrj-104741	149	2	reaching	reach	VERB
esrj-104741	149	3	a	a	DET
esrj-104741	149	4	certain	certain	ADJ
esrj-104741	149	5	number	number	NOUN
esrj-104741	149	6	,	,	PUNCT
esrj-104741	149	7	the	the	DET
esrj-104741	149	8	improvement	improvement	NOUN
esrj-104741	149	9	of	of	ADP
esrj-104741	149	10	accuracy	accuracy	NOUN
esrj-104741	149	11	is	be	AUX
esrj-104741	149	12	no	no	ADV
esrj-104741	149	13	longer	long	ADV
esrj-104741	149	14	obvious	obvious	ADJ
esrj-104741	149	15	.	.	PUNCT
esrj-104741	150	1	at	at	ADP
esrj-104741	150	2	the	the	DET
esrj-104741	150	3	same	same	ADJ
esrj-104741	150	4	time	time	NOUN
esrj-104741	150	5	,	,	PUNCT
esrj-104741	150	6	the	the	DET
esrj-104741	150	7	number	number	NOUN
esrj-104741	150	8	of	of	ADP
esrj-104741	150	9	base	base	NOUN
esrj-104741	150	10	learners	learner	NOUN
esrj-104741	150	11	is	be	AUX
esrj-104741	150	12	greater	great	ADJ
esrj-104741	150	13	,	,	PUNCT
esrj-104741	150	14	the	the	DET
esrj-104741	150	15	training	training	NOUN
esrj-104741	150	16	time	time	NOUN
esrj-104741	150	17	is	be	AUX
esrj-104741	150	18	longer	long	ADJ
esrj-104741	150	19	,	,	PUNCT
esrj-104741	150	20	because	because	SCONJ
esrj-104741	150	21	every	every	DET
esrj-104741	150	22	time	time	NOUN
esrj-104741	150	23	a	a	DET
esrj-104741	150	24	base	base	NOUN
esrj-104741	150	25	learner	learner	NOUN
esrj-104741	150	26	is	be	AUX
esrj-104741	150	27	trained	train	VERB
esrj-104741	150	28	,	,	PUNCT
esrj-104741	150	29	a	a	DET
esrj-104741	150	30	new	new	ADJ
esrj-104741	150	31	self	self	NOUN
esrj-104741	150	32	-	-	PUNCT
esrj-104741	150	33	service	service	NOUN
esrj-104741	150	34	sample	sample	NOUN
esrj-104741	150	35	of	of	ADP
esrj-104741	150	36	the	the	DET
esrj-104741	150	37	sample	sample	NOUN
esrj-104741	150	38	needs	need	VERB
esrj-104741	150	39	to	to	PART
esrj-104741	150	40	be	be	AUX
esrj-104741	150	41	trained	train	VERB
esrj-104741	150	42	,	,	PUNCT
esrj-104741	150	43	and	and	CCONJ
esrj-104741	150	44	a	a	DET
esrj-104741	150	45	new	new	ADJ
esrj-104741	150	46	base	base	NOUN
esrj-104741	150	47	learner	learner	NOUN
esrj-104741	150	48	needs	need	VERB
esrj-104741	150	49	to	to	PART
esrj-104741	150	50	be	be	AUX
esrj-104741	150	51	trained	train	VERB
esrj-104741	150	52	.	.	PUNCT
esrj-104741	151	1	figure	figure	NOUN
esrj-104741	151	2	2	2	NUM
esrj-104741	151	3	relationship	relationship	NOUN
esrj-104741	151	4	between	between	ADP
esrj-104741	151	5	the	the	DET
esrj-104741	151	6	number	number	NOUN
esrj-104741	151	7	of	of	ADP
esrj-104741	151	8	subbase	subbase	NOUN
esrj-104741	151	9	learners	learner	NOUN
esrj-104741	151	10	in	in	ADP
esrj-104741	151	11	different	different	ADJ
esrj-104741	151	12	max	max	NOUN
esrj-104741	151	13	_	_	NOUN
esrj-104741	151	14	features	feature	VERB
esrj-104741	151	15	in	in	ADP
esrj-104741	151	16	the	the	DET
esrj-104741	151	17	western	western	ADJ
esrj-104741	151	18	part	part	NOUN
esrj-104741	151	19	of	of	ADP
esrj-104741	151	20	the	the	DET
esrj-104741	151	21	liaohe	liaohe	NOUN
esrj-104741	151	22	river	river	PROPN
esrj-104741	151	23	and	and	CCONJ
esrj-104741	151	24	the	the	DET
esrj-104741	151	25	error	error	NOUN
esrj-104741	151	26	rate	rate	NOUN
esrj-104741	151	27	of	of	ADP
esrj-104741	151	28	out	out	ADV
esrj-104741	151	29	-	-	PUNCT
esrj-104741	151	30	of	of	ADP
esrj-104741	151	31	-	-	PUNCT
esrj-104741	151	32	package	package	NOUN
esrj-104741	151	33	estimation	estimation	NOUN
esrj-104741	151	34	0	0	NUM
esrj-104741	151	35	0.1	0.1	NUM
esrj-104741	151	36	0.2	0.2	NUM
esrj-104741	151	37	0.3	0.3	NUM
esrj-104741	151	38	0.4	0.4	NUM
esrj-104741	151	39	0.5	0.5	NUM
esrj-104741	151	40	0.6	0.6	NUM
esrj-104741	151	41	0	0	NUM
esrj-104741	151	42	50	50	NUM
esrj-104741	151	43	100	100	NUM
esrj-104741	151	44	150	150	NUM
esrj-104741	151	45	200	200	NUM
esrj-104741	151	46	o	o	NOUN
esrj-104741	151	47	ut	ut	PROPN
esrj-104741	152	1	-o	-o	INTJ
esrj-104741	152	2	f	f	X
esrj-104741	152	3	-	-	PUNCT
esrj-104741	152	4	p	p	PROPN
esrj-104741	152	5	ac	ac	PROPN
esrj-104741	152	6	ka	ka	PROPN
esrj-104741	152	7	ge	ge	PROPN
esrj-104741	153	1	e	e	PROPN
esrj-104741	153	2	s	s	PROPN
esrj-104741	153	3	�	�	PROPN
esrj-104741	153	4	m	m	PROPN
esrj-104741	153	5	a	a	DET
esrj-104741	153	6	�	�	PROPN
esrj-104741	153	7	on	on	ADP
esrj-104741	153	8	e	e	PROPN
esrj-104741	153	9	rr	rr	NOUN
esrj-104741	153	10	or	or	CCONJ
esrj-104741	153	11	ra	ra	INTJ
esrj-104741	153	12	te	te	INTJ
esrj-104741	153	13	number	number	NOUN
esrj-104741	153	14	of	of	ADP
esrj-104741	153	15	base	base	NOUN
esrj-104741	153	16	learmers	learmer	NOUN
esrj-104741	153	17	randomforestclassifier	randomforestclassifier	NOUN
esrj-104741	153	18	,	,	PUNCT
esrj-104741	153	19	max_features	max_feature	NOUN
esrj-104741	153	20	=	=	SYM
esrj-104741	153	21	sqrt	sqrt	NOUN
esrj-104741	153	22	randomforestclassifier	randomforestclassifier	NOUN
esrj-104741	153	23	,	,	PUNCT
esrj-104741	153	24	max_features	max_feature	NOUN
esrj-104741	153	25	=	=	SYM
esrj-104741	153	26	log2	log2	NOUN
esrj-104741	153	27	randomforestclassifier	randomforestclassifier	NOUN
esrj-104741	153	28	,	,	PUNCT
esrj-104741	153	29	max_features	max_feature	NOUN
esrj-104741	153	30	=	=	NOUN
esrj-104741	153	31	none	none	NOUN
esrj-104741	153	32	0	0	NUM
esrj-104741	153	33	0.1	0.1	NUM
esrj-104741	153	34	0.2	0.2	NUM
esrj-104741	153	35	0.3	0.3	NUM
esrj-104741	153	36	0.4	0.4	NUM
esrj-104741	153	37	0.5	0.5	NUM
esrj-104741	153	38	0.6	0.6	NUM
esrj-104741	153	39	0	0	NUM
esrj-104741	153	40	50	50	NUM
esrj-104741	153	41	100	100	NUM
esrj-104741	153	42	150	150	NUM
esrj-104741	153	43	200	200	NUM
esrj-104741	153	44	o	o	NOUN
esrj-104741	153	45	ut	ut	PROPN
esrj-104741	154	1	-o	-o	INTJ
esrj-104741	154	2	f	f	X
esrj-104741	154	3	-	-	PUNCT
esrj-104741	154	4	p	p	PROPN
esrj-104741	154	5	ac	ac	PROPN
esrj-104741	154	6	ka	ka	PROPN
esrj-104741	154	7	ge	ge	PROPN
esrj-104741	155	1	e	e	PROPN
esrj-104741	155	2	s	s	PROPN
esrj-104741	155	3	�	�	PROPN
esrj-104741	155	4	m	m	PROPN
esrj-104741	155	5	a	a	DET
esrj-104741	155	6	�	�	PROPN
esrj-104741	155	7	on	on	ADP
esrj-104741	155	8	e	e	PROPN
esrj-104741	155	9	rr	rr	NOUN
esrj-104741	155	10	or	or	CCONJ
esrj-104741	155	11	ra	ra	INTJ
esrj-104741	155	12	te	te	INTJ
esrj-104741	155	13	number	number	NOUN
esrj-104741	155	14	of	of	ADP
esrj-104741	155	15	base	base	NOUN
esrj-104741	155	16	learmers	learmer	NOUN
esrj-104741	155	17	randomforestclassifier	randomforestclassifier	NOUN
esrj-104741	155	18	,	,	PUNCT
esrj-104741	155	19	max_features	max_feature	NOUN
esrj-104741	155	20	=	=	SYM
esrj-104741	155	21	sqrt	sqrt	NOUN
esrj-104741	155	22	randomforestclassifier	randomforestclassifier	NOUN
esrj-104741	155	23	,	,	PUNCT
esrj-104741	155	24	max_features	max_feature	NOUN
esrj-104741	155	25	=	=	SYM
esrj-104741	155	26	log2	log2	NOUN
esrj-104741	155	27	randomforestclassifier	randomforestclassifier	NOUN
esrj-104741	155	28	,	,	PUNCT
esrj-104741	155	29	max_features	max_feature	NOUN
esrj-104741	155	30	=	=	NOUN
esrj-104741	155	31	none	none	NOUN
esrj-104741	155	32	figure	figure	NOUN
esrj-104741	155	33	3	3	NUM
esrj-104741	155	34	.	.	X
esrj-104741	155	35	relationship	relationship	NOUN
esrj-104741	155	36	between	between	ADP
esrj-104741	155	37	the	the	DET
esrj-104741	155	38	number	number	NOUN
esrj-104741	155	39	of	of	ADP
esrj-104741	155	40	subbase	subbase	NOUN
esrj-104741	155	41	learners	learner	NOUN
esrj-104741	155	42	in	in	ADP
esrj-104741	155	43	different	different	ADJ
esrj-104741	155	44	max	max	NOUN
esrj-104741	155	45	_	_	NOUN
esrj-104741	155	46	features	feature	VERB
esrj-104741	155	47	in	in	ADP
esrj-104741	155	48	the	the	DET
esrj-104741	155	49	eastern	eastern	ADJ
esrj-104741	155	50	part	part	NOUN
esrj-104741	155	51	of	of	ADP
esrj-104741	155	52	the	the	DET
esrj-104741	155	53	liaohe	liaohe	NOUN
esrj-104741	155	54	river	river	PROPN
esrj-104741	155	55	and	and	CCONJ
esrj-104741	155	56	the	the	DET
esrj-104741	155	57	error	error	NOUN
esrj-104741	155	58	rate	rate	NOUN
esrj-104741	155	59	of	of	ADP
esrj-104741	155	60	out	out	ADV
esrj-104741	155	61	-	-	PUNCT
esrj-104741	155	62	of	of	ADP
esrj-104741	155	63	-	-	PUNCT
esrj-104741	155	64	package	package	NOUN
esrj-104741	155	65	estimation	estimation	NOUN
esrj-104741	155	66	73application	73application	NOUN
esrj-104741	155	67	of	of	ADP
esrj-104741	155	68	random	random	ADJ
esrj-104741	155	69	forest	forest	NOUN
esrj-104741	155	70	method	method	NOUN
esrj-104741	155	71	in	in	ADP
esrj-104741	155	72	oil	oil	NOUN
esrj-104741	155	73	and	and	CCONJ
esrj-104741	155	74	water	water	NOUN
esrj-104741	155	75	layer	layer	NOUN
esrj-104741	155	76	identification	identification	NOUN
esrj-104741	155	77	of	of	ADP
esrj-104741	155	78	logging	log	VERB
esrj-104741	155	79	data	datum	NOUN
esrj-104741	155	80	:	:	PUNCT
esrj-104741	155	81	a	a	DET
esrj-104741	155	82	case	case	NOUN
esrj-104741	155	83	study	study	NOUN
esrj-104741	155	84	of	of	ADP
esrj-104741	155	85	the	the	DET
esrj-104741	155	86	liaohe	liaohe	NOUN
esrj-104741	155	87	depression	depression	NOUN
esrj-104741	155	88	for	for	ADP
esrj-104741	155	89	the	the	DET
esrj-104741	155	90	random	random	ADJ
esrj-104741	155	91	forest	forest	NOUN
esrj-104741	155	92	algorithm	algorithm	NOUN
esrj-104741	155	93	,	,	PUNCT
esrj-104741	155	94	there	there	PRON
esrj-104741	155	95	is	be	VERB
esrj-104741	155	96	also	also	ADV
esrj-104741	155	97	an	an	DET
esrj-104741	155	98	important	important	ADJ
esrj-104741	155	99	parameter	parameter	NOUN
esrj-104741	155	100	,	,	PUNCT
esrj-104741	155	101	that	that	ADV
esrj-104741	155	102	is	is	ADV
esrj-104741	155	103	,	,	PUNCT
esrj-104741	155	104	how	how	SCONJ
esrj-104741	155	105	many	many	ADJ
esrj-104741	155	106	features	feature	NOUN
esrj-104741	155	107	are	be	AUX
esrj-104741	155	108	used	use	VERB
esrj-104741	155	109	to	to	PART
esrj-104741	155	110	train	train	VERB
esrj-104741	155	111	each	each	DET
esrj-104741	155	112	base	base	NOUN
esrj-104741	155	113	learner	learner	NOUN
esrj-104741	155	114	.	.	PUNCT
esrj-104741	156	1	according	accord	VERB
esrj-104741	156	2	to	to	ADP
esrj-104741	156	3	breiman	breiman	NOUN
esrj-104741	156	4	’s	’s	PART
esrj-104741	156	5	research	research	NOUN
esrj-104741	156	6	(	(	PUNCT
esrj-104741	156	7	breiman	breiman	NOUN
esrj-104741	156	8	,	,	PUNCT
esrj-104741	156	9	2001	2001	NUM
esrj-104741	156	10	)	)	PUNCT
esrj-104741	156	11	.	.	PUNCT
esrj-104741	157	1	it	it	PRON
esrj-104741	157	2	is	be	AUX
esrj-104741	157	3	recommended	recommend	VERB
esrj-104741	157	4	log2d	log2d	PROPN
esrj-104741	157	5	to	to	PART
esrj-104741	157	6	train	train	VERB
esrj-104741	157	7	with	with	ADP
esrj-104741	157	8	individual	individual	ADJ
esrj-104741	157	9	features	feature	NOUN
esrj-104741	157	10	,	,	PUNCT
esrj-104741	157	11	while	while	SCONJ
esrj-104741	157	12	it	it	PRON
esrj-104741	157	13	is	be	AUX
esrj-104741	157	14	proposed	propose	VERB
esrj-104741	157	15	that	that	SCONJ
esrj-104741	157	16	training	training	NOUN
esrj-104741	157	17	with	with	ADP
esrj-104741	157	18	individual	individual	ADJ
esrj-104741	157	19	features	feature	NOUN
esrj-104741	157	20	often	often	ADV
esrj-104741	157	21	results	result	VERB
esrj-104741	157	22	in	in	ADP
esrj-104741	157	23	good	good	ADJ
esrj-104741	157	24	performance	performance	NOUN
esrj-104741	157	25	.	.	PUNCT
esrj-104741	158	1	therefore	therefore	ADV
esrj-104741	158	2	,	,	PUNCT
esrj-104741	158	3	this	this	DET
esrj-104741	158	4	paper	paper	NOUN
esrj-104741	158	5	uses	use	VERB
esrj-104741	158	6	three	three	NUM
esrj-104741	158	7	methods	method	NOUN
esrj-104741	158	8	,	,	PUNCT
esrj-104741	158	9	using	use	VERB
esrj-104741	158	10	individual	individual	ADJ
esrj-104741	158	11	features	feature	NOUN
esrj-104741	158	12	√d	√d	ADJ
esrj-104741	158	13	,	,	PUNCT
esrj-104741	158	14	individual	individual	ADJ
esrj-104741	158	15	features	feature	NOUN
esrj-104741	158	16	,	,	PUNCT
esrj-104741	158	17	and	and	CCONJ
esrj-104741	158	18	all	all	DET
esrj-104741	158	19	features	feature	NOUN
esrj-104741	158	20	for	for	ADP
esrj-104741	158	21	training	training	NOUN
esrj-104741	158	22	,	,	PUNCT
esrj-104741	158	23	and	and	CCONJ
esrj-104741	158	24	draws	draw	VERB
esrj-104741	158	25	a	a	DET
esrj-104741	158	26	graph	graph	NOUN
esrj-104741	158	27	of	of	ADP
esrj-104741	158	28	the	the	DET
esrj-104741	158	29	relationship	relationship	NOUN
esrj-104741	158	30	between	between	ADP
esrj-104741	158	31	the	the	DET
esrj-104741	158	32	number	number	NOUN
esrj-104741	158	33	of	of	ADP
esrj-104741	158	34	base	base	NOUN
esrj-104741	158	35	learners	learner	NOUN
esrj-104741	158	36	and	and	CCONJ
esrj-104741	158	37	the	the	DET
esrj-104741	158	38	error	error	NOUN
esrj-104741	158	39	rate	rate	NOUN
esrj-104741	158	40	of	of	ADP
esrj-104741	158	41	out	out	ADV
esrj-104741	158	42	-	-	PUNCT
esrj-104741	158	43	of	of	ADP
esrj-104741	158	44	-	-	PUNCT
esrj-104741	158	45	package	package	NOUN
esrj-104741	158	46	estimation	estimation	NOUN
esrj-104741	158	47	in	in	ADP
esrj-104741	158	48	three	three	NUM
esrj-104741	158	49	cases	case	NOUN
esrj-104741	158	50	(	(	PUNCT
esrj-104741	158	51	figure	figure	NOUN
esrj-104741	158	52	log2d	log2d	PROPN
esrj-104741	158	53	2	2	NUM
esrj-104741	158	54	,	,	PUNCT
esrj-104741	158	55	figure	figure	NOUN
esrj-104741	158	56	3	3	NUM
esrj-104741	158	57	)	)	PUNCT
esrj-104741	158	58	.	.	PUNCT
esrj-104741	159	1	it	it	PRON
esrj-104741	159	2	can	can	AUX
esrj-104741	159	3	be	be	AUX
esrj-104741	159	4	seen	see	VERB
esrj-104741	159	5	that	that	SCONJ
esrj-104741	159	6	the	the	DET
esrj-104741	159	7	error	error	NOUN
esrj-104741	159	8	rate	rate	NOUN
esrj-104741	159	9	of	of	ADP
esrj-104741	159	10	out	out	ADV
esrj-104741	159	11	-	-	PUNCT
esrj-104741	159	12	of	of	ADP
esrj-104741	159	13	-	-	PUNCT
esrj-104741	159	14	package	package	NOUN
esrj-104741	159	15	estimation	estimation	NOUN
esrj-104741	159	16	is	be	AUX
esrj-104741	159	17	very	very	ADV
esrj-104741	159	18	similar	similar	ADJ
esrj-104741	159	19	in	in	ADP
esrj-104741	159	20	the	the	DET
esrj-104741	159	21	three	three	NUM
esrj-104741	159	22	cases	case	NOUN
esrj-104741	159	23	,	,	PUNCT
esrj-104741	159	24	and	and	CCONJ
esrj-104741	159	25	only	only	ADV
esrj-104741	159	26	the	the	DET
esrj-104741	159	27	random	random	ADJ
esrj-104741	159	28	forest	forest	NOUN
esrj-104741	159	29	classifier	classifier	NOUN
esrj-104741	159	30	trained	train	VERB
esrj-104741	159	31	with	with	ADP
esrj-104741	159	32	all	all	DET
esrj-104741	159	33	features	feature	NOUN
esrj-104741	159	34	has	have	VERB
esrj-104741	159	35	a	a	DET
esrj-104741	159	36	slightly	slightly	ADV
esrj-104741	159	37	higher	high	ADJ
esrj-104741	159	38	error	error	NOUN
esrj-104741	159	39	rate	rate	NOUN
esrj-104741	159	40	,	,	PUNCT
esrj-104741	159	41	which	which	PRON
esrj-104741	159	42	also	also	ADV
esrj-104741	159	43	shows	show	VERB
esrj-104741	159	44	the	the	DET
esrj-104741	159	45	effect	effect	NOUN
esrj-104741	159	46	of	of	ADP
esrj-104741	159	47	using	use	VERB
esrj-104741	159	48	the	the	DET
esrj-104741	159	49	random	random	ADJ
esrj-104741	159	50	feature	feature	NOUN
esrj-104741	159	51	training	training	NOUN
esrj-104741	159	52	base	base	NOUN
esrj-104741	159	53	learner	learner	NOUN
esrj-104741	159	54	to	to	PART
esrj-104741	159	55	introduce	introduce	VERB
esrj-104741	159	56	randomness	randomness	NOUN
esrj-104741	159	57	and	and	CCONJ
esrj-104741	159	58	improve	improve	VERB
esrj-104741	159	59	the	the	DET
esrj-104741	159	60	generalization	generalization	NOUN
esrj-104741	159	61	ability	ability	NOUN
esrj-104741	159	62	of	of	ADP
esrj-104741	159	63	random	random	ADJ
esrj-104741	159	64	forests	forest	NOUN
esrj-104741	159	65	.	.	PUNCT
esrj-104741	160	1	however	however	ADV
esrj-104741	160	2	,	,	PUNCT
esrj-104741	160	3	the	the	DET
esrj-104741	160	4	direct	direct	ADJ
esrj-104741	160	5	reason	reason	NOUN
esrj-104741	160	6	why	why	SCONJ
esrj-104741	160	7	it	it	PRON
esrj-104741	160	8	is	be	AUX
esrj-104741	160	9	not	not	PART
esrj-104741	160	10	possible	possible	ADJ
esrj-104741	160	11	to	to	PART
esrj-104741	160	12	see	see	VERB
esrj-104741	160	13	log2d√d	log2d√d	NOUN
esrj-104741	160	14	,	,	PUNCT
esrj-104741	160	15	which	which	DET
esrj-104741	160	16	feature	feature	NOUN
esrj-104741	160	17	has	have	VERB
esrj-104741	160	18	more	more	ADJ
esrj-104741	160	19	advantages	advantage	NOUN
esrj-104741	160	20	is	be	AUX
esrj-104741	160	21	that	that	SCONJ
esrj-104741	160	22	the	the	DET
esrj-104741	160	23	characteristics	characteristic	NOUN
esrj-104741	160	24	selected	select	VERB
esrj-104741	160	25	for	for	ADP
esrj-104741	160	26	this	this	DET
esrj-104741	160	27	experiment	experiment	NOUN
esrj-104741	160	28	are	be	AUX
esrj-104741	160	29	oil	oil	NOUN
esrj-104741	160	30	content	content	NOUN
esrj-104741	160	31	level	level	NOUN
esrj-104741	160	32	,	,	PUNCT
esrj-104741	160	33	porosity	porosity	NOUN
esrj-104741	160	34	,	,	PUNCT
esrj-104741	160	35	permeability	permeability	NOUN
esrj-104741	160	36	,	,	PUNCT
esrj-104741	160	37	movable	movable	ADJ
esrj-104741	160	38	fluid	fluid	NOUN
esrj-104741	160	39	,	,	PUNCT
esrj-104741	160	40	oil	oil	NOUN
esrj-104741	160	41	saturation	saturation	NOUN
esrj-104741	160	42	,	,	PUNCT
esrj-104741	160	43	s0	s0	PROPN
esrj-104741	160	44	,	,	PUNCT
esrj-104741	160	45	s1	s1	NOUN
esrj-104741	160	46	,	,	PUNCT
esrj-104741	160	47	s2	s2	PROPN
esrj-104741	160	48	,	,	PUNCT
esrj-104741	160	49	tmax	tmax	VERB
esrj-104741	160	50	has	have	VERB
esrj-104741	160	51	a	a	DET
esrj-104741	160	52	total	total	NOUN
esrj-104741	160	53	of	of	ADP
esrj-104741	160	54	9	9	NUM
esrj-104741	160	55	features	feature	NOUN
esrj-104741	160	56	,	,	PUNCT
esrj-104741	160	57	|log29|	|log29|	PRON
esrj-104741	160	58	and	and	CCONJ
esrj-104741	160	59	equal	equal	ADJ
esrj-104741	160	60	√9(|x|for	√9(|x|for	ADP
esrj-104741	160	61	x	x	PUNCT
esrj-104741	160	62	rounding	round	VERB
esrj-104741	160	63	down	down	ADP
esrj-104741	160	64	)	)	PUNCT
esrj-104741	160	65	,	,	PUNCT
esrj-104741	160	66	are	be	AUX
esrj-104741	160	67	equal	equal	ADJ
esrj-104741	160	68	to	to	ADP
esrj-104741	160	69	3	3	NUM
esrj-104741	160	70	,	,	PUNCT
esrj-104741	160	71	so	so	SCONJ
esrj-104741	160	72	there	there	PRON
esrj-104741	160	73	is	be	VERB
esrj-104741	160	74	no	no	DET
esrj-104741	160	75	difference	difference	NOUN
esrj-104741	160	76	in	in	ADP
esrj-104741	160	77	theory	theory	NOUN
esrj-104741	160	78	.	.	PUNCT
esrj-104741	161	1	but	but	CCONJ
esrj-104741	161	2	when	when	SCONJ
esrj-104741	161	3	the	the	DET
esrj-104741	161	4	number	number	NOUN
esrj-104741	161	5	of	of	ADP
esrj-104741	161	6	features	feature	NOUN
esrj-104741	161	7	is	be	AUX
esrj-104741	161	8	large	large	ADJ
esrj-104741	161	9	enough	enough	ADV
esrj-104741	161	10	,	,	PUNCT
esrj-104741	161	11	you	you	PRON
esrj-104741	161	12	can	can	AUX
esrj-104741	161	13	see	see	VERB
esrj-104741	161	14	the	the	DET
esrj-104741	161	15	difference	difference	NOUN
esrj-104741	161	16	in	in	ADP
esrj-104741	161	17	performance	performance	NOUN
esrj-104741	161	18	between	between	ADP
esrj-104741	161	19	the	the	DET
esrj-104741	161	20	two	two	NUM
esrj-104741	161	21	.	.	PUNCT
esrj-104741	161	22	3.2	3.2	NUM
esrj-104741	161	23	selection	selection	NOUN
esrj-104741	161	24	of	of	ADP
esrj-104741	161	25	division	division	NOUN
esrj-104741	161	26	criteria	criterion	NOUN
esrj-104741	161	27	using	use	VERB
esrj-104741	161	28	the	the	DET
esrj-104741	161	29	gini	gini	PROPN
esrj-104741	161	30	index	index	NOUN
esrj-104741	161	31	yields	yield	VERB
esrj-104741	161	32	roughly	roughly	ADV
esrj-104741	161	33	similar	similar	ADJ
esrj-104741	161	34	results	result	NOUN
esrj-104741	161	35	to	to	ADP
esrj-104741	161	36	information	information	NOUN
esrj-104741	161	37	gain	gain	NOUN
esrj-104741	161	38	.	.	PUNCT
esrj-104741	162	1	the	the	DET
esrj-104741	162	2	blue	blue	ADJ
esrj-104741	162	3	line	line	NOUN
esrj-104741	162	4	represents	represent	VERB
esrj-104741	162	5	the	the	DET
esrj-104741	162	6	base	base	ADJ
esrj-104741	162	7	learner	learner	NOUN
esrj-104741	162	8	of	of	ADP
esrj-104741	162	9	the	the	DET
esrj-104741	162	10	random	random	ADJ
esrj-104741	162	11	forest	forest	NOUN
esrj-104741	162	12	trained	train	VERB
esrj-104741	162	13	using	use	VERB
esrj-104741	162	14	the	the	DET
esrj-104741	162	15	gini	gini	PROPN
esrj-104741	162	16	index	index	NOUN
esrj-104741	162	17	,	,	PUNCT
esrj-104741	162	18	and	and	CCONJ
esrj-104741	162	19	the	the	DET
esrj-104741	162	20	green	green	ADJ
esrj-104741	162	21	one	one	NOUN
esrj-104741	162	22	is	be	AUX
esrj-104741	162	23	training	training	NOUN
esrj-104741	162	24	using	use	VERB
esrj-104741	162	25	the	the	DET
esrj-104741	162	26	information	information	NOUN
esrj-104741	162	27	gain	gain	NOUN
esrj-104741	162	28	(	(	PUNCT
esrj-104741	162	29	fig	fig	NOUN
esrj-104741	162	30	.	.	PUNCT
esrj-104741	163	1	4	4	NUM
esrj-104741	163	2	,	,	PUNCT
esrj-104741	163	3	fig	fig	NOUN
esrj-104741	163	4	.	.	PUNCT
esrj-104741	164	1	5	5	NUM
esrj-104741	164	2	)	)	PUNCT
esrj-104741	164	3	.	.	PUNCT
esrj-104741	165	1	it	it	PRON
esrj-104741	165	2	can	can	AUX
esrj-104741	165	3	be	be	AUX
esrj-104741	165	4	seen	see	VERB
esrj-104741	165	5	that	that	SCONJ
esrj-104741	165	6	the	the	DET
esrj-104741	165	7	use	use	NOUN
esrj-104741	165	8	of	of	ADP
esrj-104741	165	9	gini	gini	PROPN
esrj-104741	165	10	index	index	PROPN
esrj-104741	165	11	and	and	CCONJ
esrj-104741	165	12	information	information	NOUN
esrj-104741	165	13	gain	gain	NOUN
esrj-104741	165	14	does	do	AUX
esrj-104741	165	15	not	not	PART
esrj-104741	165	16	have	have	VERB
esrj-104741	165	17	much	much	ADJ
esrj-104741	165	18	effect	effect	NOUN
esrj-104741	165	19	on	on	ADP
esrj-104741	165	20	the	the	DET
esrj-104741	165	21	error	error	NOUN
esrj-104741	165	22	rate	rate	NOUN
esrj-104741	165	23	of	of	ADP
esrj-104741	165	24	out	out	ADV
esrj-104741	165	25	-	-	PUNCT
esrj-104741	165	26	of	of	ADP
esrj-104741	165	27	-	-	PUNCT
esrj-104741	165	28	package	package	NOUN
esrj-104741	165	29	estimates	estimate	NOUN
esrj-104741	165	30	.	.	PUNCT
esrj-104741	166	1	4	4	X
esrj-104741	166	2	.	.	X
esrj-104741	166	3	characteristic	characteristic	ADJ
esrj-104741	166	4	analysis	analysis	NOUN
esrj-104741	166	5	there	there	PRON
esrj-104741	166	6	is	be	VERB
esrj-104741	166	7	also	also	ADV
esrj-104741	166	8	a	a	DET
esrj-104741	166	9	by	by	ADP
esrj-104741	166	10	-	-	PUNCT
esrj-104741	166	11	product	product	NOUN
esrj-104741	166	12	of	of	ADP
esrj-104741	166	13	using	use	VERB
esrj-104741	166	14	random	random	ADJ
esrj-104741	166	15	forest	forest	NOUN
esrj-104741	166	16	.	.	PUNCT
esrj-104741	167	1	by	by	ADP
esrj-104741	167	2	building	build	VERB
esrj-104741	167	3	a	a	DET
esrj-104741	167	4	model	model	NOUN
esrj-104741	167	5	through	through	ADP
esrj-104741	167	6	the	the	DET
esrj-104741	167	7	random	random	ADJ
esrj-104741	167	8	forest	forest	NOUN
esrj-104741	167	9	algorithm	algorithm	NOUN
esrj-104741	167	10	,	,	PUNCT
esrj-104741	167	11	the	the	DET
esrj-104741	167	12	contribution	contribution	NOUN
esrj-104741	167	13	of	of	ADP
esrj-104741	167	14	each	each	DET
esrj-104741	167	15	feature	feature	NOUN
esrj-104741	167	16	to	to	ADP
esrj-104741	167	17	the	the	DET
esrj-104741	167	18	model	model	NOUN
esrj-104741	167	19	can	can	AUX
esrj-104741	167	20	be	be	AUX
esrj-104741	167	21	obtained	obtain	VERB
esrj-104741	167	22	,	,	PUNCT
esrj-104741	167	23	also	also	ADV
esrj-104741	167	24	known	know	VERB
esrj-104741	167	25	as	as	ADP
esrj-104741	167	26	gini	gini	NOUN
esrj-104741	167	27	importance	importance	NOUN
esrj-104741	167	28	(	(	PUNCT
esrj-104741	167	29	pedregosa	pedregosa	NOUN
esrj-104741	167	30	et	et	PROPN
esrj-104741	167	31	al	al	PROPN
esrj-104741	167	32	.	.	PROPN
esrj-104741	167	33	,	,	PUNCT
esrj-104741	167	34	2012	2012	NUM
esrj-104741	167	35	)	)	PUNCT
esrj-104741	167	36	.	.	PUNCT
esrj-104741	168	1	when	when	SCONJ
esrj-104741	168	2	training	train	VERB
esrj-104741	168	3	the	the	DET
esrj-104741	168	4	base	base	NOUN
esrj-104741	168	5	learner	learner	NOUN
esrj-104741	168	6	,	,	PUNCT
esrj-104741	168	7	the	the	DET
esrj-104741	168	8	gini	gini	PROPN
esrj-104741	168	9	index	index	NOUN
esrj-104741	168	10	is	be	AUX
esrj-104741	168	11	used	use	VERB
esrj-104741	168	12	to	to	PART
esrj-104741	168	13	divide	divide	VERB
esrj-104741	168	14	the	the	DET
esrj-104741	168	15	nodes	node	NOUN
esrj-104741	168	16	each	each	DET
esrj-104741	168	17	time	time	NOUN
esrj-104741	168	18	,	,	PUNCT
esrj-104741	168	19	so	so	SCONJ
esrj-104741	168	20	that	that	SCONJ
esrj-104741	168	21	the	the	DET
esrj-104741	168	22	gini	gini	PROPN
esrj-104741	168	23	index	index	NOUN
esrj-104741	168	24	of	of	ADP
esrj-104741	168	25	the	the	DET
esrj-104741	168	26	two	two	NUM
esrj-104741	168	27	child	child	NOUN
esrj-104741	168	28	nodes	node	NOUN
esrj-104741	168	29	is	be	AUX
esrj-104741	168	30	smaller	small	ADJ
esrj-104741	168	31	than	than	ADP
esrj-104741	168	32	that	that	PRON
esrj-104741	168	33	of	of	ADP
esrj-104741	168	34	the	the	DET
esrj-104741	168	35	parent	parent	NOUN
esrj-104741	168	36	node	node	NOUN
esrj-104741	168	37	.	.	PUNCT
esrj-104741	169	1	the	the	DET
esrj-104741	169	2	importance	importance	NOUN
esrj-104741	169	3	of	of	ADP
esrj-104741	169	4	each	each	DET
esrj-104741	169	5	feature	feature	NOUN
esrj-104741	169	6	is	be	AUX
esrj-104741	169	7	obtained	obtain	VERB
esrj-104741	169	8	by	by	ADP
esrj-104741	169	9	summing	sum	VERB
esrj-104741	169	10	the	the	DET
esrj-104741	169	11	gini	gini	NOUN
esrj-104741	169	12	index	index	NOUN
esrj-104741	169	13	reductions	reduction	NOUN
esrj-104741	169	14	for	for	ADP
esrj-104741	169	15	all	all	DET
esrj-104741	169	16	features	feature	NOUN
esrj-104741	169	17	in	in	ADP
esrj-104741	169	18	each	each	DET
esrj-104741	169	19	tree	tree	NOUN
esrj-104741	169	20	in	in	ADP
esrj-104741	169	21	the	the	DET
esrj-104741	169	22	random	random	ADJ
esrj-104741	169	23	forest	forest	NOUN
esrj-104741	169	24	.	.	PUNCT
esrj-104741	170	1	implementation	implementation	NOUN
esrj-104741	170	2	method	method	NOUN
esrj-104741	170	3	:	:	PUNCT
esrj-104741	170	4	multiply	multiply	VERB
esrj-104741	170	5	the	the	DET
esrj-104741	170	6	number	number	NOUN
esrj-104741	170	7	of	of	ADP
esrj-104741	170	8	samples	sample	NOUN
esrj-104741	170	9	of	of	ADP
esrj-104741	170	10	the	the	DET
esrj-104741	170	11	parent	parent	NOUN
esrj-104741	170	12	node	node	NOUN
esrj-104741	170	13	by	by	ADP
esrj-104741	170	14	the	the	DET
esrj-104741	170	15	gini	gini	PROPN
esrj-104741	170	16	impurity	impurity	NOUN
esrj-104741	170	17	of	of	ADP
esrj-104741	170	18	the	the	DET
esrj-104741	170	19	current	current	ADJ
esrj-104741	170	20	node	node	NOUN
esrj-104741	170	21	,	,	PUNCT
esrj-104741	170	22	and	and	CCONJ
esrj-104741	170	23	subtract	subtract	VERB
esrj-104741	170	24	the	the	DET
esrj-104741	170	25	number	number	NOUN
esrj-104741	170	26	of	of	ADP
esrj-104741	170	27	samples	sample	NOUN
esrj-104741	170	28	of	of	ADP
esrj-104741	170	29	the	the	DET
esrj-104741	170	30	root	root	NOUN
esrj-104741	170	31	node	node	NOUN
esrj-104741	170	32	of	of	ADP
esrj-104741	170	33	the	the	DET
esrj-104741	170	34	left	left	ADJ
esrj-104741	170	35	and	and	CCONJ
esrj-104741	170	36	right	right	ADJ
esrj-104741	170	37	subtrees	subtree	NOUN
esrj-104741	170	38	and	and	CCONJ
esrj-104741	170	39	their	their	PRON
esrj-104741	170	40	corresponding	correspond	VERB
esrj-104741	170	41	gini	gini	NOUN
esrj-104741	170	42	impurity	impurity	NOUN
esrj-104741	170	43	,	,	PUNCT
esrj-104741	170	44	and	and	CCONJ
esrj-104741	170	45	the	the	DET
esrj-104741	170	46	important	important	ADJ
esrj-104741	170	47	part	part	NOUN
esrj-104741	170	48	of	of	ADP
esrj-104741	170	49	the	the	DET
esrj-104741	170	50	division	division	NOUN
esrj-104741	170	51	feature	feature	NOUN
esrj-104741	170	52	corresponding	correspond	VERB
esrj-104741	170	53	to	to	ADP
esrj-104741	170	54	the	the	DET
esrj-104741	170	55	node	node	NOUN
esrj-104741	170	56	can	can	AUX
esrj-104741	170	57	be	be	AUX
esrj-104741	170	58	obtained	obtain	VERB
esrj-104741	170	59	.	.	PUNCT
esrj-104741	171	1	after	after	ADP
esrj-104741	171	2	calculating	calculate	VERB
esrj-104741	171	3	the	the	DET
esrj-104741	171	4	gini	gini	NOUN
esrj-104741	171	5	importance	importance	NOUN
esrj-104741	171	6	of	of	ADP
esrj-104741	171	7	all	all	DET
esrj-104741	171	8	nodes	node	NOUN
esrj-104741	171	9	to	to	ADP
esrj-104741	171	10	their	their	PRON
esrj-104741	171	11	divided	divided	ADJ
esrj-104741	171	12	features	feature	NOUN
esrj-104741	171	13	by	by	ADP
esrj-104741	171	14	this	this	DET
esrj-104741	171	15	method	method	NOUN
esrj-104741	171	16	,	,	PUNCT
esrj-104741	171	17	sum	sum	VERB
esrj-104741	171	18	them	they	PRON
esrj-104741	171	19	by	by	ADP
esrj-104741	171	20	feature	feature	NOUN
esrj-104741	171	21	,	,	PUNCT
esrj-104741	171	22	and	and	CCONJ
esrj-104741	171	23	then	then	ADV
esrj-104741	171	24	standardize	standardize	VERB
esrj-104741	171	25	it	it	PRON
esrj-104741	171	26	to	to	PART
esrj-104741	171	27	obtain	obtain	VERB
esrj-104741	171	28	the	the	DET
esrj-104741	171	29	importance	importance	NOUN
esrj-104741	171	30	of	of	ADP
esrj-104741	171	31	each	each	DET
esrj-104741	171	32	feature	feature	NOUN
esrj-104741	171	33	.	.	PUNCT
esrj-104741	172	1	because	because	SCONJ
esrj-104741	172	2	the	the	DET
esrj-104741	172	3	random	random	ADJ
esrj-104741	172	4	forest	forest	NOUN
esrj-104741	172	5	uses	use	VERB
esrj-104741	172	6	the	the	DET
esrj-104741	172	7	same	same	ADJ
esrj-104741	172	8	data	datum	NOUN
esrj-104741	172	9	every	every	DET
esrj-104741	172	10	time	time	NOUN
esrj-104741	172	11	,	,	PUNCT
esrj-104741	172	12	the	the	DET
esrj-104741	172	13	training	training	NOUN
esrj-104741	172	14	set	set	NOUN
esrj-104741	172	15	obtained	obtain	VERB
esrj-104741	172	16	by	by	ADP
esrj-104741	172	17	the	the	DET
esrj-104741	172	18	self	self	NOUN
esrj-104741	172	19	-	-	PUNCT
esrj-104741	172	20	sampling	sample	VERB
esrj-104741	172	21	method	method	NOUN
esrj-104741	172	22	is	be	AUX
esrj-104741	172	23	different	different	ADJ
esrj-104741	172	24	,	,	PUNCT
esrj-104741	172	25	and	and	CCONJ
esrj-104741	172	26	the	the	DET
esrj-104741	172	27	features	feature	NOUN
esrj-104741	172	28	used	use	VERB
esrj-104741	172	29	for	for	ADP
esrj-104741	172	30	training	training	NOUN
esrj-104741	172	31	are	be	AUX
esrj-104741	172	32	different	different	ADJ
esrj-104741	172	33	.	.	PUNCT
esrj-104741	173	1	therefore	therefore	ADV
esrj-104741	173	2	,	,	PUNCT
esrj-104741	173	3	this	this	DET
esrj-104741	173	4	article	article	NOUN
esrj-104741	173	5	attempts	attempt	VERB
esrj-104741	173	6	to	to	PART
esrj-104741	173	7	use	use	VERB
esrj-104741	173	8	100	100	NUM
esrj-104741	173	9	basic	basic	ADJ
esrj-104741	173	10	learners	learner	NOUN
esrj-104741	173	11	to	to	PART
esrj-104741	173	12	perform	perform	VERB
esrj-104741	173	13	10	10	NUM
esrj-104741	173	14	training	training	NOUN
esrj-104741	173	15	sessions	session	NOUN
esrj-104741	173	16	on	on	ADP
esrj-104741	173	17	the	the	DET
esrj-104741	173	18	“	"	PUNCT
esrj-104741	173	19	oversampling	oversampling	ADJ
esrj-104741	173	20	”	"	PUNCT
esrj-104741	173	21	samples	sample	NOUN
esrj-104741	173	22	,	,	PUNCT
esrj-104741	173	23	calculate	calculate	VERB
esrj-104741	173	24	the	the	DET
esrj-104741	173	25	10	10	NUM
esrj-104741	173	26	times	time	NOUN
esrj-104741	173	27	,	,	PUNCT
esrj-104741	173	28	and	and	CCONJ
esrj-104741	173	29	take	take	VERB
esrj-104741	173	30	the	the	DET
esrj-104741	173	31	average	average	ADJ
esrj-104741	173	32	value	value	NOUN
esrj-104741	173	33	of	of	ADP
esrj-104741	173	34	the	the	DET
esrj-104741	173	35	importance	importance	NOUN
esrj-104741	173	36	of	of	ADP
esrj-104741	173	37	each	each	DET
esrj-104741	173	38	feature	feature	NOUN
esrj-104741	173	39	to	to	PART
esrj-104741	173	40	obtain	obtain	VERB
esrj-104741	173	41	the	the	DET
esrj-104741	173	42	following	follow	VERB
esrj-104741	173	43	table	table	NOUN
esrj-104741	173	44	(	(	PUNCT
esrj-104741	173	45	table	table	NOUN
esrj-104741	173	46	2~	2~	PROPN
esrj-104741	173	47	table	table	NOUN
esrj-104741	173	48	3	3	NUM
esrj-104741	173	49	)	)	PUNCT
esrj-104741	173	50	.	.	PUNCT
esrj-104741	174	1	by	by	ADP
esrj-104741	174	2	sorting	sort	VERB
esrj-104741	174	3	the	the	DET
esrj-104741	174	4	average	average	ADJ
esrj-104741	174	5	values	value	NOUN
esrj-104741	174	6	in	in	ADP
esrj-104741	174	7	the	the	DET
esrj-104741	174	8	two	two	NUM
esrj-104741	174	9	tables	table	NOUN
esrj-104741	174	10	(	(	PUNCT
esrj-104741	174	11	table	table	NOUN
esrj-104741	174	12	4	4	NUM
esrj-104741	174	13	)	)	PUNCT
esrj-104741	174	14	,	,	PUNCT
esrj-104741	174	15	it	it	PRON
esrj-104741	174	16	can	can	AUX
esrj-104741	174	17	be	be	AUX
esrj-104741	174	18	observed	observe	VERB
esrj-104741	174	19	that	that	SCONJ
esrj-104741	174	20	in	in	ADP
esrj-104741	174	21	identifying	identify	VERB
esrj-104741	174	22	the	the	DET
esrj-104741	174	23	oil	oil	NOUN
esrj-104741	174	24	and	and	CCONJ
esrj-104741	174	25	water	water	NOUN
esrj-104741	174	26	layer	layer	NOUN
esrj-104741	174	27	in	in	ADP
esrj-104741	174	28	the	the	DET
esrj-104741	174	29	eastern	eastern	ADJ
esrj-104741	174	30	and	and	CCONJ
esrj-104741	174	31	western	western	ADJ
esrj-104741	174	32	parts	part	NOUN
esrj-104741	174	33	of	of	ADP
esrj-104741	174	34	the	the	DET
esrj-104741	174	35	liaohe	liaohe	NOUN
esrj-104741	174	36	river	river	NOUN
esrj-104741	174	37	,	,	PUNCT
esrj-104741	174	38	the	the	DET
esrj-104741	174	39	rock	rock	NOUN
esrj-104741	174	40	pyrolysis	pyrolysis	NOUN
esrj-104741	174	41	parameters	parameter	NOUN
esrj-104741	174	42	s2	s2	PROPN
esrj-104741	174	43	,	,	PUNCT
esrj-104741	174	44	the	the	DET
esrj-104741	174	45	oil	oil	NOUN
esrj-104741	174	46	content	content	NOUN
esrj-104741	174	47	of	of	ADP
esrj-104741	174	48	the	the	DET
esrj-104741	174	49	rock	rock	NOUN
esrj-104741	174	50	surface	surface	NOUN
esrj-104741	174	51	and	and	CCONJ
esrj-104741	174	52	the	the	DET
esrj-104741	174	53	porosity	porosity	NOUN
esrj-104741	174	54	are	be	AUX
esrj-104741	174	55	more	more	ADV
esrj-104741	174	56	important	important	ADJ
esrj-104741	174	57	to	to	ADP
esrj-104741	174	58	the	the	DET
esrj-104741	174	59	model	model	NOUN
esrj-104741	174	60	,	,	PUNCT
esrj-104741	174	61	while	while	SCONJ
esrj-104741	174	62	the	the	DET
esrj-104741	174	63	permeability	permeability	NOUN
esrj-104741	174	64	is	be	AUX
esrj-104741	174	65	s0	s0	PROPN
esrj-104741	174	66	low	low	ADJ
esrj-104741	174	67	contribution	contribution	NOUN
esrj-104741	174	68	to	to	ADP
esrj-104741	174	69	the	the	DET
esrj-104741	174	70	model	model	NOUN
esrj-104741	174	71	.	.	PUNCT
esrj-104741	175	1	it	it	PRON
esrj-104741	175	2	may	may	AUX
esrj-104741	175	3	be	be	AUX
esrj-104741	175	4	because	because	SCONJ
esrj-104741	175	5	the	the	DET
esrj-104741	175	6	permeability	permeability	NOUN
esrj-104741	175	7	of	of	ADP
esrj-104741	175	8	the	the	DET
esrj-104741	175	9	rock	rock	NOUN
esrj-104741	175	10	only	only	ADV
esrj-104741	175	11	determines	determine	VERB
esrj-104741	175	12	how	how	SCONJ
esrj-104741	175	13	much	much	ADJ
esrj-104741	175	14	the	the	DET
esrj-104741	175	15	rock	rock	NOUN
esrj-104741	175	16	of	of	ADP
esrj-104741	175	17	the	the	DET
esrj-104741	175	18	formation	formation	NOUN
esrj-104741	175	19	affects	affect	VERB
esrj-104741	175	20	the	the	DET
esrj-104741	175	21	fluidity	fluidity	NOUN
esrj-104741	175	22	of	of	ADP
esrj-104741	175	23	the	the	DET
esrj-104741	175	24	fluid	fluid	NOUN
esrj-104741	175	25	,	,	PUNCT
esrj-104741	175	26	and	and	CCONJ
esrj-104741	175	27	does	do	AUX
esrj-104741	175	28	not	not	PART
esrj-104741	175	29	determine	determine	VERB
esrj-104741	175	30	which	which	DET
esrj-104741	175	31	type	type	NOUN
esrj-104741	175	32	of	of	ADP
esrj-104741	175	33	layer	layer	NOUN
esrj-104741	175	34	it	it	PRON
esrj-104741	175	35	is	be	AUX
esrj-104741	175	36	.	.	PUNCT
esrj-104741	176	1	when	when	SCONJ
esrj-104741	176	2	the	the	DET
esrj-104741	176	3	permeability	permeability	NOUN
esrj-104741	176	4	of	of	ADP
esrj-104741	176	5	the	the	DET
esrj-104741	176	6	rock	rock	NOUN
esrj-104741	176	7	is	be	AUX
esrj-104741	176	8	very	very	ADV
esrj-104741	176	9	large	large	ADJ
esrj-104741	176	10	,	,	PUNCT
esrj-104741	176	11	it	it	PRON
esrj-104741	176	12	may	may	AUX
esrj-104741	176	13	be	be	AUX
esrj-104741	176	14	a	a	DET
esrj-104741	176	15	dry	dry	ADJ
esrj-104741	176	16	layer	layer	NOUN
esrj-104741	176	17	,	,	PUNCT
esrj-104741	176	18	or	or	CCONJ
esrj-104741	176	19	it	it	PRON
esrj-104741	176	20	may	may	AUX
esrj-104741	176	21	be	be	AUX
esrj-104741	176	22	an	an	DET
esrj-104741	176	23	oil	oil	NOUN
esrj-104741	176	24	layer	layer	NOUN
esrj-104741	176	25	or	or	CCONJ
esrj-104741	176	26	a	a	DET
esrj-104741	176	27	water	water	NOUN
esrj-104741	176	28	layer	layer	NOUN
esrj-104741	176	29	,	,	PUNCT
esrj-104741	176	30	but	but	CCONJ
esrj-104741	176	31	when	when	SCONJ
esrj-104741	176	32	the	the	DET
esrj-104741	176	33	permeability	permeability	NOUN
esrj-104741	176	34	is	be	AUX
esrj-104741	176	35	very	very	ADV
esrj-104741	176	36	small	small	ADJ
esrj-104741	176	37	,	,	PUNCT
esrj-104741	176	38	the	the	DET
esrj-104741	176	39	possibility	possibility	NOUN
esrj-104741	176	40	of	of	ADP
esrj-104741	176	41	being	be	AUX
esrj-104741	176	42	a	a	DET
esrj-104741	176	43	dry	dry	ADJ
esrj-104741	176	44	layer	layer	NOUN
esrj-104741	176	45	is	be	AUX
esrj-104741	176	46	very	very	ADV
esrj-104741	176	47	large	large	ADJ
esrj-104741	176	48	,	,	PUNCT
esrj-104741	176	49	but	but	CCONJ
esrj-104741	176	50	the	the	DET
esrj-104741	176	51	possibility	possibility	NOUN
esrj-104741	176	52	of	of	ADP
esrj-104741	176	53	oil	oil	NOUN
esrj-104741	176	54	layer	layer	NOUN
esrj-104741	176	55	and	and	CCONJ
esrj-104741	176	56	water	water	NOUN
esrj-104741	176	57	layer	layer	NOUN
esrj-104741	176	58	will	will	AUX
esrj-104741	176	59	be	be	AUX
esrj-104741	176	60	very	very	ADV
esrj-104741	176	61	small	small	ADJ
esrj-104741	176	62	.	.	PUNCT
esrj-104741	177	1	that	that	PRON
esrj-104741	177	2	is	be	AUX
esrj-104741	177	3	to	to	PART
esrj-104741	177	4	say	say	VERB
esrj-104741	177	5	,	,	PUNCT
esrj-104741	177	6	the	the	DET
esrj-104741	177	7	permeability	permeability	NOUN
esrj-104741	177	8	of	of	ADP
esrj-104741	177	9	rocks	rock	NOUN
esrj-104741	177	10	influences	influence	VERB
esrj-104741	177	11	the	the	DET
esrj-104741	177	12	identification	identification	NOUN
esrj-104741	177	13	of	of	ADP
esrj-104741	177	14	oil	oil	NOUN
esrj-104741	177	15	and	and	CCONJ
esrj-104741	177	16	water	water	NOUN
esrj-104741	177	17	layers	layer	NOUN
esrj-104741	177	18	to	to	ADP
esrj-104741	177	19	a	a	DET
esrj-104741	177	20	certain	certain	ADJ
esrj-104741	177	21	extent	extent	NOUN
esrj-104741	177	22	,	,	PUNCT
esrj-104741	177	23	but	but	CCONJ
esrj-104741	177	24	its	its	PRON
esrj-104741	177	25	range	range	NOUN
esrj-104741	177	26	of	of	ADP
esrj-104741	177	27	action	action	NOUN
esrj-104741	177	28	is	be	AUX
esrj-104741	177	29	limited	limited	ADJ
esrj-104741	177	30	.	.	PUNCT
esrj-104741	178	1	however	however	ADV
esrj-104741	178	2	,	,	PUNCT
esrj-104741	178	3	the	the	DET
esrj-104741	178	4	pyrolysis	pyrolysis	NOUN
esrj-104741	178	5	parameters	parameter	NOUN
esrj-104741	178	6	can	can	AUX
esrj-104741	178	7	determine	determine	VERB
esrj-104741	178	8	the	the	DET
esrj-104741	178	9	content	content	NOUN
esrj-104741	178	10	of	of	ADP
esrj-104741	178	11	organic	organic	ADJ
esrj-104741	178	12	matter	matter	NOUN
esrj-104741	178	13	,	,	PUNCT
esrj-104741	178	14	the	the	DET
esrj-104741	178	15	type	type	NOUN
esrj-104741	178	16	of	of	ADP
esrj-104741	178	17	organic	organic	ADJ
esrj-104741	178	18	matter	matter	NOUN
esrj-104741	178	19	and	and	CCONJ
esrj-104741	178	20	the	the	DET
esrj-104741	178	21	maturity	maturity	NOUN
esrj-104741	178	22	of	of	ADP
esrj-104741	178	23	the	the	DET
esrj-104741	178	24	rock	rock	NOUN
esrj-104741	178	25	,	,	PUNCT
esrj-104741	178	26	so	so	SCONJ
esrj-104741	178	27	the	the	DET
esrj-104741	178	28	pyrolysis	pyrolysis	NOUN
esrj-104741	178	29	data	data	NOUN
esrj-104741	178	30	is	be	AUX
esrj-104741	178	31	more	more	ADV
esrj-104741	178	32	effective	effective	ADJ
esrj-104741	178	33	for	for	ADP
esrj-104741	178	34	dividing	divide	VERB
esrj-104741	178	35	the	the	DET
esrj-104741	178	36	oil	oil	NOUN
esrj-104741	178	37	layer	layer	NOUN
esrj-104741	178	38	.	.	PUNCT
esrj-104741	179	1	in	in	ADP
esrj-104741	179	2	the	the	DET
esrj-104741	179	3	process	process	NOUN
esrj-104741	179	4	of	of	ADP
esrj-104741	179	5	machine	machine	NOUN
esrj-104741	179	6	learning	learning	NOUN
esrj-104741	179	7	,	,	PUNCT
esrj-104741	179	8	because	because	SCONJ
esrj-104741	179	9	each	each	PRON
esrj-104741	179	10	learned	learn	VERB
esrj-104741	179	11	sample	sample	NOUN
esrj-104741	179	12	and	and	CCONJ
esrj-104741	179	13	test	test	NOUN
esrj-104741	179	14	sample	sample	NOUN
esrj-104741	179	15	are	be	AUX
esrj-104741	179	16	random	random	ADJ
esrj-104741	179	17	,	,	PUNCT
esrj-104741	179	18	the	the	DET
esrj-104741	179	19	accuracy	accuracy	NOUN
esrj-104741	179	20	of	of	ADP
esrj-104741	179	21	the	the	DET
esrj-104741	179	22	results	result	NOUN
esrj-104741	179	23	is	be	AUX
esrj-104741	179	24	also	also	ADV
esrj-104741	179	25	different	different	ADJ
esrj-104741	179	26	,	,	PUNCT
esrj-104741	179	27	the	the	DET
esrj-104741	179	28	confidence	confidence	NOUN
esrj-104741	179	29	interval	interval	NOUN
esrj-104741	179	30	is	be	AUX
esrj-104741	179	31	used	use	VERB
esrj-104741	179	32	to	to	PART
esrj-104741	179	33	evaluate	evaluate	VERB
esrj-104741	179	34	the	the	DET
esrj-104741	179	35	results	result	NOUN
esrj-104741	179	36	,	,	PUNCT
esrj-104741	179	37	and	and	CCONJ
esrj-104741	179	38	the	the	DET
esrj-104741	179	39	east	east	NOUN
esrj-104741	179	40	and	and	CCONJ
esrj-104741	179	41	west	west	NOUN
esrj-104741	179	42	use	use	VERB
esrj-104741	179	43	a	a	DET
esrj-104741	179	44	confidence	confidence	NOUN
esrj-104741	179	45	level	level	NOUN
esrj-104741	179	46	of	of	ADP
esrj-104741	179	47	0.95	0.95	NUM
esrj-104741	179	48	,	,	PUNCT
esrj-104741	179	49	and	and	CCONJ
esrj-104741	179	50	the	the	DET
esrj-104741	179	51	eastern	eastern	ADJ
esrj-104741	179	52	accuracy	accuracy	NOUN
esrj-104741	179	53	rate	rate	NOUN
esrj-104741	179	54	is	be	AUX
esrj-104741	179	55	89.9%~	89.9%~	NUM
esrj-104741	179	56	91.5	91.5	NUM
esrj-104741	179	57	%	%	NOUN
esrj-104741	179	58	,	,	PUNCT
esrj-104741	179	59	the	the	DET
esrj-104741	179	60	western	western	ADJ
esrj-104741	179	61	accuracy	accuracy	NOUN
esrj-104741	179	62	rate	rate	NOUN
esrj-104741	179	63	is	be	AUX
esrj-104741	179	64	94.4%~	94.4%~	NUM
esrj-104741	179	65	95.4	95.4	NUM
esrj-104741	179	66	%	%	NOUN
esrj-104741	179	67	.	.	PUNCT
esrj-104741	180	1	figure	figure	NOUN
esrj-104741	180	2	4	4	NUM
esrj-104741	180	3	.	.	PUNCT
esrj-104741	181	1	the	the	DET
esrj-104741	181	2	relationship	relationship	NOUN
esrj-104741	181	3	between	between	ADP
esrj-104741	181	4	number	number	NOUN
esrj-104741	181	5	of	of	ADP
esrj-104741	181	6	base	base	NOUN
esrj-104741	181	7	learners	learner	NOUN
esrj-104741	181	8	and	and	CCONJ
esrj-104741	181	9	out	out	ADP
esrj-104741	181	10	-	-	PUNCT
esrj-104741	181	11	of	of	ADP
esrj-104741	181	12	-	-	PUNCT
esrj-104741	181	13	bag	bag	NOUN
esrj-104741	181	14	estimate	estimate	NOUN
esrj-104741	181	15	error	error	NOUN
esrj-104741	181	16	rate	rate	NOUN
esrj-104741	181	17	under	under	ADP
esrj-104741	181	18	different	different	ADJ
esrj-104741	181	19	division	division	NOUN
esrj-104741	181	20	criterion	criterion	NOUN
esrj-104741	181	21	in	in	ADP
esrj-104741	181	22	the	the	DET
esrj-104741	181	23	east	east	NOUN
esrj-104741	181	24	of	of	ADP
esrj-104741	181	25	liaohe	liaohe	NOUN
esrj-104741	181	26	depression	depression	NOUN
esrj-104741	181	27	0	0	NUM
esrj-104741	181	28	0.1	0.1	NUM
esrj-104741	181	29	0.2	0.2	NUM
esrj-104741	181	30	0.3	0.3	NUM
esrj-104741	181	31	0.4	0.4	NUM
esrj-104741	181	32	0.5	0.5	NUM
esrj-104741	181	33	0.6	0.6	NUM
esrj-104741	181	34	0	0	NUM
esrj-104741	181	35	50	50	NUM
esrj-104741	181	36	100	100	NUM
esrj-104741	181	37	150	150	NUM
esrj-104741	181	38	200	200	NUM
esrj-104741	181	39	o	o	NOUN
esrj-104741	181	40	ut	ut	PROPN
esrj-104741	181	41	-o	-o	PROPN
esrj-104741	181	42	fpa	fpa	PROPN
esrj-104741	181	43	ck	ck	PROPN
esrj-104741	181	44	ag	ag	PROPN
esrj-104741	181	45	e	e	PROPN
esrj-104741	181	46	es	es	ADP
esrj-104741	181	47	tim	tim	PROPN
esrj-104741	181	48	at	at	ADP
esrj-104741	181	49	io	io	PROPN
esrj-104741	181	50	n	n	CCONJ
esrj-104741	181	51	er	er	INTJ
esrj-104741	181	52	ro	ro	INTJ
esrj-104741	181	53	r	r	NOUN
esrj-104741	181	54	r	r	NOUN
esrj-104741	181	55	at	at	ADP
esrj-104741	181	56	e	e	PROPN
esrj-104741	181	57	gini	gini	PROPN
esrj-104741	181	58	entropy	entropy	PROPN
esrj-104741	181	59	number	number	NOUN
esrj-104741	181	60	of	of	ADP
esrj-104741	181	61	base	base	NOUN
esrj-104741	181	62	learners	learner	NOUN
esrj-104741	181	63	0	0	NUM
esrj-104741	181	64	0.1	0.1	NUM
esrj-104741	181	65	0.2	0.2	NUM
esrj-104741	181	66	0.3	0.3	NUM
esrj-104741	181	67	0.4	0.4	NUM
esrj-104741	181	68	0.5	0.5	NUM
esrj-104741	181	69	0.6	0.6	NUM
esrj-104741	181	70	0	0	NUM
esrj-104741	181	71	50	50	NUM
esrj-104741	181	72	100	100	NUM
esrj-104741	181	73	150	150	NUM
esrj-104741	181	74	200	200	NUM
esrj-104741	181	75	o	o	NOUN
esrj-104741	181	76	ut	ut	PROPN
esrj-104741	182	1	-o	-o	INTJ
esrj-104741	182	2	f	f	X
esrj-104741	182	3	-	-	PUNCT
esrj-104741	182	4	p	p	PROPN
esrj-104741	182	5	ac	ac	PROPN
esrj-104741	182	6	ka	ka	PROPN
esrj-104741	182	7	ge	ge	PROPN
esrj-104741	182	8	e	e	PROPN
esrj-104741	182	9	st	st	PROPN
esrj-104741	182	10	i	i	PRON
esrj-104741	182	11	m	m	VERB
esrj-104741	182	12	at	at	ADP
esrj-104741	182	13	io	io	PROPN
esrj-104741	182	14	n	n	CCONJ
esrj-104741	182	15	er	er	INTJ
esrj-104741	182	16	ro	ro	INTJ
esrj-104741	182	17	r	r	NOUN
esrj-104741	182	18	r	r	NOUN
esrj-104741	182	19	at	at	ADP
esrj-104741	182	20	e	e	NOUN
esrj-104741	182	21	number	number	NOUN
esrj-104741	182	22	of	of	ADP
esrj-104741	182	23	base	base	NOUN
esrj-104741	182	24	learners	learner	NOUN
esrj-104741	182	25	gini	gini	PROPN
esrj-104741	182	26	entropy	entropy	PROPN
esrj-104741	182	27	figure	figure	NOUN
esrj-104741	182	28	5	5	NUM
esrj-104741	182	29	.	.	PUNCT
esrj-104741	183	1	the	the	DET
esrj-104741	183	2	relationship	relationship	NOUN
esrj-104741	183	3	between	between	ADP
esrj-104741	183	4	number	number	NOUN
esrj-104741	183	5	of	of	ADP
esrj-104741	183	6	base	base	NOUN
esrj-104741	183	7	learners	learner	NOUN
esrj-104741	183	8	and	and	CCONJ
esrj-104741	183	9	out	out	ADP
esrj-104741	183	10	-	-	PUNCT
esrj-104741	183	11	of	of	ADP
esrj-104741	183	12	-	-	PUNCT
esrj-104741	183	13	bag	bag	NOUN
esrj-104741	183	14	estimate	estimate	NOUN
esrj-104741	183	15	error	error	NOUN
esrj-104741	183	16	rate	rate	NOUN
esrj-104741	183	17	under	under	ADP
esrj-104741	183	18	d	d	PROPN
esrj-104741	183	19	ifferent	ifferent	NOUN
esrj-104741	183	20	division	division	NOUN
esrj-104741	183	21	criterion	criterion	NOUN
esrj-104741	183	22	in	in	ADP
esrj-104741	183	23	the	the	DET
esrj-104741	183	24	west	west	NOUN
esrj-104741	183	25	of	of	ADP
esrj-104741	183	26	liaohe	liaohe	NOUN
esrj-104741	183	27	depression	depression	NOUN
esrj-104741	183	28	74	74	NUM
esrj-104741	183	29	chunlei	chunlei	NOUN
esrj-104741	183	30	dai	dai	PROPN
esrj-104741	183	31	,	,	PUNCT
esrj-104741	183	32	shangming	shangme	VERB
esrj-104741	183	33	shi	shi	PROPN
esrj-104741	183	34	,	,	PUNCT
esrj-104741	183	35	chao	chao	PROPN
esrj-104741	183	36	song	song	PROPN
esrj-104741	183	37	table	table	NOUN
esrj-104741	183	38	2	2	NUM
esrj-104741	183	39	.	.	PUNCT
esrj-104741	183	40	importance	importance	NOUN
esrj-104741	183	41	of	of	ADP
esrj-104741	183	42	characteristics	characteristic	NOUN
esrj-104741	183	43	in	in	ADP
esrj-104741	183	44	the	the	DET
esrj-104741	183	45	east	east	NOUN
esrj-104741	183	46	of	of	ADP
esrj-104741	183	47	liaohe	liaohe	NOUN
esrj-104741	183	48	depression	depression	NOUN
esrj-104741	183	49	features	feature	VERB
esrj-104741	183	50	porosity	porosity	NOUN
esrj-104741	183	51	penetration	penetration	NOUN
esrj-104741	183	52	movable	movable	ADJ
esrj-104741	183	53	fluids	fluid	NOUN
esrj-104741	183	54	oil	oil	NOUN
esrj-104741	183	55	saturation	saturation	NOUN
esrj-104741	183	56	s0	s0	PROPN
esrj-104741	183	57	s1	s1	PROPN
esrj-104741	183	58	s2	s2	PROPN
esrj-104741	183	59	tmax	tmax	ADP
esrj-104741	183	60	the	the	DET
esrj-104741	183	61	rock	rock	NOUN
esrj-104741	183	62	surface	surface	NOUN
esrj-104741	183	63	contains	contain	VERB
esrj-104741	183	64	oil	oil	NOUN
esrj-104741	183	65	oob	oob	NOUN
esrj-104741	183	66	accuracy	accuracy	NOUN
esrj-104741	183	67	1	1	NUM
esrj-104741	183	68	0.16	0.16	NUM
esrj-104741	183	69	0.08	0.08	NUM
esrj-104741	183	70	0.10	0.10	NUM
esrj-104741	183	71	0.06	0.06	NUM
esrj-104741	183	72	0.05	0.05	NUM
esrj-104741	183	73	0.11	0.11	NUM
esrj-104741	183	74	0.21	0.21	NUM
esrj-104741	183	75	0.09	0.09	NUM
esrj-104741	183	76	0.14	0.14	NUM
esrj-104741	183	77	0.92	0.92	NUM
esrj-104741	183	78	2	2	NUM
esrj-104741	183	79	0.15	0.15	NUM
esrj-104741	183	80	0.07	0.07	NUM
esrj-104741	183	81	0.09	0.09	NUM
esrj-104741	183	82	0.07	0.07	NUM
esrj-104741	183	83	0.07	0.07	NUM
esrj-104741	183	84	0.12	0.12	NUM
esrj-104741	183	85	0.22	0.22	NUM
esrj-104741	183	86	0.07	0.07	NUM
esrj-104741	183	87	0.14	0.14	NUM
esrj-104741	183	88	0.92	0.92	NUM
esrj-104741	183	89	3	3	NUM
esrj-104741	183	90	0.14	0.14	NUM
esrj-104741	183	91	0.08	0.08	NUM
esrj-104741	183	92	0.09	0.09	NUM
esrj-104741	183	93	0.08	0.08	NUM
esrj-104741	183	94	0.05	0.05	NUM
esrj-104741	183	95	0.11	0.11	NUM
esrj-104741	183	96	0.20	0.20	NUM
esrj-104741	183	97	0.09	0.09	NUM
esrj-104741	183	98	0.15	0.15	NUM
esrj-104741	183	99	0.91	0.91	NUM
esrj-104741	183	100	4	4	NUM
esrj-104741	183	101	0.13	0.13	NUM
esrj-104741	183	102	0.08	0.08	NUM
esrj-104741	183	103	0.10	0.10	NUM
esrj-104741	183	104	0.07	0.07	NUM
esrj-104741	183	105	0.06	0.06	NUM
esrj-104741	183	106	0.11	0.11	NUM
esrj-104741	183	107	0.22	0.22	NUM
esrj-104741	183	108	0.10	0.10	NUM
esrj-104741	183	109	0.14	0.14	NUM
esrj-104741	183	110	0.91	0.91	NUM
esrj-104741	183	111	5	5	NUM
esrj-104741	183	112	0.14	0.14	NUM
esrj-104741	183	113	0.07	0.07	NUM
esrj-104741	183	114	0.11	0.11	NUM
esrj-104741	183	115	0.05	0.05	NUM
esrj-104741	183	116	0.05	0.05	NUM
esrj-104741	183	117	0.11	0.11	NUM
esrj-104741	183	118	0.23	0.23	NUM
esrj-104741	183	119	0.09	0.09	NUM
esrj-104741	183	120	0.14	0.14	NUM
esrj-104741	183	121	0.90	0.90	NUM
esrj-104741	183	122	6	6	NUM
esrj-104741	183	123	0.16	0.16	NUM
esrj-104741	183	124	0.05	0.05	NUM
esrj-104741	183	125	0.09	0.09	NUM
esrj-104741	183	126	0.08	0.08	NUM
esrj-104741	183	127	0.05	0.05	NUM
esrj-104741	183	128	0.11	0.11	NUM
esrj-104741	183	129	0.20	0.20	NUM
esrj-104741	183	130	0.10	0.10	NUM
esrj-104741	183	131	0.15	0.15	NUM
esrj-104741	183	132	0.90	0.90	NUM
esrj-104741	183	133	7	7	NUM
esrj-104741	183	134	0.15	0.15	NUM
esrj-104741	183	135	0.06	0.06	NUM
esrj-104741	183	136	0.13	0.13	NUM
esrj-104741	183	137	0.07	0.07	NUM
esrj-104741	183	138	0.05	0.05	NUM
esrj-104741	183	139	0.10	0.10	NUM
esrj-104741	183	140	0.24	0.24	NUM
esrj-104741	183	141	0.08	0.08	NUM
esrj-104741	183	142	0.13	0.13	NUM
esrj-104741	183	143	0.89	0.89	NUM
esrj-104741	183	144	8	8	NUM
esrj-104741	183	145	0.15	0.15	NUM
esrj-104741	183	146	0.08	0.08	NUM
esrj-104741	183	147	0.10	0.10	NUM
esrj-104741	183	148	0.06	0.06	NUM
esrj-104741	183	149	0.06	0.06	NUM
esrj-104741	183	150	0.12	0.12	NUM
esrj-104741	183	151	0.19	0.19	NUM
esrj-104741	183	152	0.09	0.09	NUM
esrj-104741	183	153	0.14	0.14	NUM
esrj-104741	183	154	0.89	0.89	NUM
esrj-104741	183	155	9	9	NUM
esrj-104741	183	156	0.13	0.13	NUM
esrj-104741	183	157	0.09	0.09	NUM
esrj-104741	183	158	0.11	0.11	NUM
esrj-104741	183	159	0.06	0.06	NUM
esrj-104741	183	160	0.06	0.06	NUM
esrj-104741	183	161	0.12	0.12	NUM
esrj-104741	183	162	0.21	0.21	NUM
esrj-104741	183	163	0.09	0.09	NUM
esrj-104741	183	164	0.13	0.13	NUM
esrj-104741	183	165	0.92	0.92	NUM
esrj-104741	183	166	10	10	NUM
esrj-104741	183	167	0.13	0.13	NUM
esrj-104741	183	168	0.06	0.06	NUM
esrj-104741	183	169	0.10	0.10	NUM
esrj-104741	183	170	0.07	0.07	NUM
esrj-104741	183	171	0.05	0.05	NUM
esrj-104741	183	172	0.15	0.15	NUM
esrj-104741	183	173	0.21	0.21	NUM
esrj-104741	183	174	0.10	0.10	NUM
esrj-104741	183	175	0.13	0.13	NUM
esrj-104741	183	176	0.90	0.90	NUM
esrj-104741	183	177	average	average	ADJ
esrj-104741	183	178	value	value	NOUN
esrj-104741	183	179	0.14	0.14	NUM
esrj-104741	183	180	0.07	0.07	NUM
esrj-104741	183	181	0.10	0.10	NUM
esrj-104741	183	182	0.07	0.07	NUM
esrj-104741	183	183	0.06	0.06	NUM
esrj-104741	183	184	0.12	0.12	NUM
esrj-104741	183	185	0.21	0.21	NUM
esrj-104741	183	186	0.09	0.09	NUM
esrj-104741	183	187	0.14	0.14	NUM
esrj-104741	183	188	0.91	0.91	NUM
esrj-104741	183	189	table	table	NOUN
esrj-104741	183	190	3	3	NUM
esrj-104741	183	191	.	.	PUNCT
esrj-104741	183	192	importance	importance	NOUN
esrj-104741	183	193	of	of	ADP
esrj-104741	183	194	characteristics	characteristic	NOUN
esrj-104741	183	195	in	in	ADP
esrj-104741	183	196	the	the	DET
esrj-104741	183	197	west	west	NOUN
esrj-104741	183	198	of	of	ADP
esrj-104741	183	199	liaohe	liaohe	NOUN
esrj-104741	183	200	depression	depression	NOUN
esrj-104741	183	201	features	feature	VERB
esrj-104741	183	202	porosity	porosity	NOUN
esrj-104741	183	203	penetration	penetration	NOUN
esrj-104741	183	204	movable	movable	ADJ
esrj-104741	183	205	fluids	fluid	NOUN
esrj-104741	183	206	oil	oil	NOUN
esrj-104741	183	207	saturation	saturation	NOUN
esrj-104741	183	208	s0	s0	PROPN
esrj-104741	183	209	s1	s1	PROPN
esrj-104741	183	210	s2	s2	PROPN
esrj-104741	183	211	tmax	tmax	ADP
esrj-104741	183	212	the	the	DET
esrj-104741	183	213	rock	rock	NOUN
esrj-104741	183	214	surface	surface	NOUN
esrj-104741	183	215	contains	contain	VERB
esrj-104741	183	216	oil	oil	NOUN
esrj-104741	183	217	oob	oob	NOUN
esrj-104741	183	218	accuracy	accuracy	NOUN
esrj-104741	183	219	1	1	NUM
esrj-104741	183	220	0.13	0.13	NUM
esrj-104741	183	221	0.09	0.09	NUM
esrj-104741	183	222	0.11	0.11	NUM
esrj-104741	184	1	0.11	0.11	NUM
esrj-104741	184	2	0.08	0.08	NUM
esrj-104741	184	3	0.08	0.08	NUM
esrj-104741	184	4	0.14	0.14	NUM
esrj-104741	184	5	0.09	0.09	NUM
esrj-104741	184	6	0.17	0.17	NUM
esrj-104741	184	7	0.95	0.95	NUM
esrj-104741	184	8	2	2	NUM
esrj-104741	184	9	0.12	0.12	NUM
esrj-104741	184	10	0.08	0.08	NUM
esrj-104741	184	11	0.11	0.11	NUM
esrj-104741	184	12	0.13	0.13	NUM
esrj-104741	184	13	0.07	0.07	NUM
esrj-104741	184	14	0.09	0.09	NUM
esrj-104741	184	15	0.16	0.16	NUM
esrj-104741	184	16	0.08	0.08	NUM
esrj-104741	184	17	0.17	0.17	NUM
esrj-104741	184	18	0.94	0.94	NUM
esrj-104741	184	19	3	3	NUM
esrj-104741	184	20	0.13	0.13	NUM
esrj-104741	184	21	0.09	0.09	NUM
esrj-104741	184	22	0.10	0.10	NUM
esrj-104741	184	23	0.12	0.12	NUM
esrj-104741	184	24	0.08	0.08	NUM
esrj-104741	184	25	0.08	0.08	NUM
esrj-104741	184	26	0.15	0.15	NUM
esrj-104741	184	27	0.07	0.07	NUM
esrj-104741	184	28	0.18	0.18	NUM
esrj-104741	184	29	0.95	0.95	NUM
esrj-104741	184	30	4	4	NUM
esrj-104741	184	31	0.13	0.13	NUM
esrj-104741	184	32	0.09	0.09	NUM
esrj-104741	184	33	0.11	0.11	NUM
esrj-104741	184	34	0.12	0.12	NUM
esrj-104741	184	35	0.07	0.07	NUM
esrj-104741	184	36	0.09	0.09	NUM
esrj-104741	184	37	0.16	0.16	NUM
esrj-104741	184	38	0.08	0.08	NUM
esrj-104741	184	39	0.16	0.16	NUM
esrj-104741	184	40	0.96	0.96	NUM
esrj-104741	184	41	5	5	NUM
esrj-104741	184	42	0.14	0.14	NUM
esrj-104741	184	43	0.09	0.09	NUM
esrj-104741	184	44	0.12	0.12	NUM
esrj-104741	184	45	0.12	0.12	NUM
esrj-104741	184	46	0.08	0.08	NUM
esrj-104741	184	47	0.07	0.07	NUM
esrj-104741	184	48	0.14	0.14	NUM
esrj-104741	184	49	0.08	0.08	NUM
esrj-104741	184	50	0.16	0.16	NUM
esrj-104741	184	51	0.94	0.94	NUM
esrj-104741	184	52	6	6	NUM
esrj-104741	184	53	0.12	0.12	NUM
esrj-104741	184	54	0.09	0.09	NUM
esrj-104741	184	55	0.12	0.12	NUM
esrj-104741	184	56	0.13	0.13	NUM
esrj-104741	184	57	0.08	0.08	NUM
esrj-104741	184	58	0.09	0.09	NUM
esrj-104741	184	59	0.15	0.15	NUM
esrj-104741	184	60	0.08	0.08	NUM
esrj-104741	184	61	0.15	0.15	NUM
esrj-104741	184	62	0.94	0.94	NUM
esrj-104741	184	63	7	7	NUM
esrj-104741	184	64	0.15	0.15	NUM
esrj-104741	184	65	0.08	0.08	NUM
esrj-104741	184	66	0.11	0.11	NUM
esrj-104741	184	67	0.12	0.12	NUM
esrj-104741	184	68	0.08	0.08	NUM
esrj-104741	184	69	0.09	0.09	NUM
esrj-104741	184	70	0.14	0.14	NUM
esrj-104741	184	71	0.08	0.08	NUM
esrj-104741	184	72	0.15	0.15	NUM
esrj-104741	184	73	0.95	0.95	NUM
esrj-104741	184	74	8	8	NUM
esrj-104741	184	75	0.13	0.13	NUM
esrj-104741	184	76	0.10	0.10	NUM
esrj-104741	184	77	0.11	0.11	NUM
esrj-104741	184	78	0.12	0.12	NUM
esrj-104741	184	79	0.08	0.08	NUM
esrj-104741	184	80	0.09	0.09	NUM
esrj-104741	184	81	0.13	0.13	NUM
esrj-104741	184	82	0.08	0.08	NUM
esrj-104741	184	83	0.15	0.15	NUM
esrj-104741	184	84	0.96	0.96	NUM
esrj-104741	184	85	9	9	NUM
esrj-104741	184	86	0.13	0.13	NUM
esrj-104741	184	87	0.09	0.09	NUM
esrj-104741	184	88	0.12	0.12	NUM
esrj-104741	184	89	0.11	0.11	NUM
esrj-104741	184	90	0.07	0.07	NUM
esrj-104741	184	91	0.08	0.08	NUM
esrj-104741	184	92	0.14	0.14	NUM
esrj-104741	184	93	0.07	0.07	NUM
esrj-104741	184	94	0.19	0.19	NUM
esrj-104741	184	95	0.95	0.95	NUM
esrj-104741	184	96	10	10	NUM
esrj-104741	184	97	0.14	0.14	NUM
esrj-104741	184	98	0.09	0.09	NUM
esrj-104741	184	99	0.12	0.12	NUM
esrj-104741	184	100	0.13	0.13	NUM
esrj-104741	184	101	0.07	0.07	NUM
esrj-104741	184	102	0.08	0.08	NUM
esrj-104741	184	103	0.15	0.15	NUM
esrj-104741	184	104	0.08	0.08	NUM
esrj-104741	184	105	0.16	0.16	NUM
esrj-104741	184	106	0.95	0.95	NUM
esrj-104741	184	107	average	average	ADJ
esrj-104741	184	108	value	value	NOUN
esrj-104741	184	109	0.13	0.13	NUM
esrj-104741	184	110	0.09	0.09	NUM
esrj-104741	184	111	0.11	0.11	NUM
esrj-104741	184	112	0.12	0.12	NUM
esrj-104741	184	113	0.08	0.08	NUM
esrj-104741	184	114	0.08	0.08	NUM
esrj-104741	184	115	0.15	0.15	NUM
esrj-104741	184	116	0.08	0.08	NUM
esrj-104741	184	117	0.16	0.16	NUM
esrj-104741	184	118	0.95	0.95	NUM
esrj-104741	184	119	table	table	NOUN
esrj-104741	184	120	4	4	NUM
esrj-104741	184	121	.	.	PUNCT
esrj-104741	184	122	importance	importance	NOUN
esrj-104741	184	123	ranking	ranking	NOUN
esrj-104741	184	124	of	of	ADP
esrj-104741	184	125	characteristics	characteristic	NOUN
esrj-104741	184	126	in	in	ADP
esrj-104741	184	127	the	the	DET
esrj-104741	184	128	east	east	NOUN
esrj-104741	184	129	and	and	CCONJ
esrj-104741	184	130	west	west	NOUN
esrj-104741	184	131	of	of	ADP
esrj-104741	184	132	liaohe	liaohe	NOUN
esrj-104741	184	133	depression	depression	NOUN
esrj-104741	184	134	eastern	eastern	ADJ
esrj-104741	184	135	part	part	NOUN
esrj-104741	184	136	of	of	ADP
esrj-104741	184	137	the	the	DET
esrj-104741	184	138	liao	liao	PROPN
esrj-104741	184	139	river	river	PROPN
esrj-104741	184	140	gini	gini	PROPN
esrj-104741	184	141	importance	importance	NOUN
esrj-104741	184	142	west	west	NOUN
esrj-104741	184	143	of	of	ADP
esrj-104741	184	144	the	the	DET
esrj-104741	184	145	liao	liao	PROPN
esrj-104741	184	146	river	river	PROPN
esrj-104741	184	147	gini	gini	PROPN
esrj-104741	184	148	importance	importance	NOUN
esrj-104741	184	149	s2	s2	PROPN
esrj-104741	184	150	0.21	0.21	NUM
esrj-104741	184	151	oily	oily	ADJ
esrj-104741	184	152	grade	grade	NOUN
esrj-104741	184	153	0.16	0.16	NUM
esrj-104741	184	154	oily	oily	ADJ
esrj-104741	184	155	grade	grade	NOUN
esrj-104741	184	156	0.14	0.14	NUM
esrj-104741	184	157	s2	s2	NOUN
esrj-104741	184	158	0.15	0.15	NUM
esrj-104741	184	159	porosity	porosity	NOUN
esrj-104741	184	160	0.14	0.14	NUM
esrj-104741	184	161	porosity	porosity	NOUN
esrj-104741	184	162	0.13	0.13	NUM
esrj-104741	184	163	s1	s1	NOUN
esrj-104741	184	164	0.12	0.12	NUM
esrj-104741	184	165	oil	oil	NOUN
esrj-104741	184	166	saturation	saturation	NOUN
esrj-104741	184	167	0.12	0.12	NUM
esrj-104741	184	168	movable	movable	ADJ
esrj-104741	184	169	fluids	fluid	NOUN
esrj-104741	184	170	0.10	0.10	NUM
esrj-104741	184	171	movable	movable	ADJ
esrj-104741	184	172	fluids	fluid	NOUN
esrj-104741	184	173	0.11	0.11	NUM
esrj-104741	184	174	tmax	tmax	PART
esrj-104741	184	175	0.09	0.09	NUM
esrj-104741	184	176	penetration	penetration	NOUN
esrj-104741	184	177	0.09	0.09	NUM
esrj-104741	184	178	oil	oil	NOUN
esrj-104741	184	179	saturation	saturation	NOUN
esrj-104741	184	180	0.07	0.07	NUM
esrj-104741	184	181	tmax	tmax	ADP
esrj-104741	184	182	0.08	0.08	NUM
esrj-104741	184	183	penetration	penetration	NOUN
esrj-104741	184	184	0.07	0.07	NUM
esrj-104741	184	185	s1	s1	NOUN
esrj-104741	184	186	0.08	0.08	NUM
esrj-104741	184	187	s0	s0	PROPN
esrj-104741	184	188	0.06	0.06	NUM
esrj-104741	184	189	s0	s0	NOUN
esrj-104741	184	190	0.08	0.08	NUM
esrj-104741	184	191	5	5	NUM
esrj-104741	184	192	.	.	PUNCT
esrj-104741	185	1	conclusion	conclusion	NOUN
esrj-104741	185	2	through	through	ADP
esrj-104741	185	3	the	the	DET
esrj-104741	185	4	numerical	numerical	ADJ
esrj-104741	185	5	treatment	treatment	NOUN
esrj-104741	185	6	of	of	ADP
esrj-104741	185	7	oil	oil	NOUN
esrj-104741	185	8	-	-	PUNCT
esrj-104741	185	9	containing	contain	VERB
esrj-104741	185	10	grades	grade	NOUN
esrj-104741	185	11	and	and	CCONJ
esrj-104741	185	12	sample	sample	NOUN
esrj-104741	185	13	imbalance	imbalance	NOUN
esrj-104741	185	14	,	,	PUNCT
esrj-104741	185	15	a	a	DET
esrj-104741	185	16	good	good	ADJ
esrj-104741	185	17	prediction	prediction	NOUN
esrj-104741	185	18	effect	effect	NOUN
esrj-104741	185	19	was	be	AUX
esrj-104741	185	20	obtained	obtain	VERB
esrj-104741	185	21	.	.	PUNCT
esrj-104741	186	1	1	1	X
esrj-104741	186	2	.	.	PUNCT
esrj-104741	186	3	the	the	DET
esrj-104741	186	4	method	method	NOUN
esrj-104741	186	5	operation	operation	NOUN
esrj-104741	186	6	is	be	AUX
esrj-104741	186	7	simple	simple	ADJ
esrj-104741	186	8	,	,	PUNCT
esrj-104741	186	9	the	the	DET
esrj-104741	186	10	traditional	traditional	ADJ
esrj-104741	186	11	plate	plate	NOUN
esrj-104741	186	12	method	method	NOUN
esrj-104741	186	13	needs	need	VERB
esrj-104741	186	14	to	to	PART
esrj-104741	186	15	build	build	VERB
esrj-104741	186	16	new	new	ADJ
esrj-104741	186	17	features	feature	NOUN
esrj-104741	186	18	,	,	PUNCT
esrj-104741	186	19	and	and	CCONJ
esrj-104741	186	20	the	the	DET
esrj-104741	186	21	operator	operator	NOUN
esrj-104741	186	22	needs	need	VERB
esrj-104741	186	23	to	to	PART
esrj-104741	186	24	have	have	VERB
esrj-104741	186	25	a	a	DET
esrj-104741	186	26	strong	strong	ADJ
esrj-104741	186	27	theoretical	theoretical	ADJ
esrj-104741	186	28	foundation	foundation	NOUN
esrj-104741	186	29	,	,	PUNCT
esrj-104741	186	30	and	and	CCONJ
esrj-104741	186	31	there	there	PRON
esrj-104741	186	32	are	be	VERB
esrj-104741	186	33	often	often	ADV
esrj-104741	186	34	various	various	ADJ
esrj-104741	186	35	problems	problem	NOUN
esrj-104741	186	36	in	in	ADP
esrj-104741	186	37	the	the	DET
esrj-104741	186	38	application	application	NOUN
esrj-104741	186	39	process	process	NOUN
esrj-104741	186	40	,	,	PUNCT
esrj-104741	186	41	which	which	PRON
esrj-104741	186	42	undoubtedly	undoubtedly	ADV
esrj-104741	186	43	brings	bring	VERB
esrj-104741	186	44	obstacles	obstacle	NOUN
esrj-104741	186	45	to	to	ADP
esrj-104741	186	46	the	the	DET
esrj-104741	186	47	promotion	promotion	NOUN
esrj-104741	186	48	of	of	ADP
esrj-104741	186	49	the	the	DET
esrj-104741	186	50	plate	plate	NOUN
esrj-104741	186	51	.	.	PUNCT
esrj-104741	187	1	the	the	DET
esrj-104741	187	2	random	random	ADJ
esrj-104741	187	3	forest	forest	NOUN
esrj-104741	187	4	method	method	NOUN
esrj-104741	187	5	only	only	ADV
esrj-104741	187	6	needs	need	VERB
esrj-104741	187	7	to	to	PART
esrj-104741	187	8	adjust	adjust	VERB
esrj-104741	187	9	the	the	DET
esrj-104741	187	10	parameters	parameter	NOUN
esrj-104741	187	11	,	,	PUNCT
esrj-104741	187	12	especially	especially	ADV
esrj-104741	187	13	when	when	SCONJ
esrj-104741	187	14	the	the	DET
esrj-104741	187	15	number	number	NOUN
esrj-104741	187	16	of	of	ADP
esrj-104741	187	17	bases	basis	NOUN
esrj-104741	187	18	is	be	AUX
esrj-104741	187	19	large	large	ADJ
esrj-104741	187	20	,	,	PUNCT
esrj-104741	187	21	the	the	DET
esrj-104741	187	22	effect	effect	NOUN
esrj-104741	187	23	is	be	AUX
esrj-104741	187	24	better	well	ADJ
esrj-104741	187	25	,	,	PUNCT
esrj-104741	187	26	and	and	CCONJ
esrj-104741	187	27	it	it	PRON
esrj-104741	187	28	has	have	VERB
esrj-104741	187	29	outstanding	outstanding	ADJ
esrj-104741	187	30	advantages	advantage	NOUN
esrj-104741	187	31	over	over	ADP
esrj-104741	187	32	the	the	DET
esrj-104741	187	33	traditional	traditional	ADJ
esrj-104741	187	34	square	square	ADJ
esrj-104741	187	35	layout	layout	NOUN
esrj-104741	187	36	method	method	NOUN
esrj-104741	187	37	.	.	PUNCT
esrj-104741	188	1	2	2	X
esrj-104741	188	2	.	.	X
esrj-104741	188	3	this	this	DET
esrj-104741	188	4	paper	paper	NOUN
esrj-104741	188	5	adopts	adopt	VERB
esrj-104741	188	6	the	the	DET
esrj-104741	188	7	smote	smote	ADJ
esrj-104741	188	8	oversampling	oversample	VERB
esrj-104741	188	9	method	method	NOUN
esrj-104741	188	10	to	to	PART
esrj-104741	188	11	solve	solve	VERB
esrj-104741	188	12	the	the	DET
esrj-104741	188	13	problem	problem	NOUN
esrj-104741	188	14	of	of	ADP
esrj-104741	188	15	data	datum	NOUN
esrj-104741	188	16	imbalance	imbalance	NOUN
esrj-104741	188	17	and	and	CCONJ
esrj-104741	188	18	ensure	ensure	VERB
esrj-104741	188	19	the	the	DET
esrj-104741	188	20	accuracy	accuracy	NOUN
esrj-104741	188	21	of	of	ADP
esrj-104741	188	22	the	the	DET
esrj-104741	188	23	method	method	NOUN
esrj-104741	188	24	.	.	PUNCT
esrj-104741	189	1	the	the	DET
esrj-104741	189	2	maximum	maximum	ADJ
esrj-104741	189	3	number	number	NOUN
esrj-104741	189	4	of	of	ADP
esrj-104741	189	5	features	feature	NOUN
esrj-104741	189	6	for	for	ADP
esrj-104741	189	7	a	a	DET
esrj-104741	189	8	single	single	ADJ
esrj-104741	189	9	tree	tree	NOUN
esrj-104741	189	10	is	be	AUX
esrj-104741	189	11	“	"	PUNCT
esrj-104741	189	12	sqrt	sqrt	NOUN
esrj-104741	189	13	”	"	PUNCT
esrj-104741	189	14	and	and	CCONJ
esrj-104741	189	15	“	"	PUNCT
esrj-104741	189	16	log2	log2	PROPN
esrj-104741	189	17	”	"	PUNCT
esrj-104741	189	18	,	,	PUNCT
esrj-104741	189	19	and	and	CCONJ
esrj-104741	189	20	the	the	DET
esrj-104741	189	21	error	error	NOUN
esrj-104741	189	22	rates	rate	NOUN
esrj-104741	189	23	are	be	AUX
esrj-104741	189	24	similar	similar	ADJ
esrj-104741	189	25	,	,	PUNCT
esrj-104741	189	26	which	which	PRON
esrj-104741	189	27	are	be	AUX
esrj-104741	189	28	lower	low	ADJ
esrj-104741	189	29	than	than	ADP
esrj-104741	189	30	selecting	select	VERB
esrj-104741	189	31	all	all	DET
esrj-104741	189	32	features	feature	NOUN
esrj-104741	189	33	.	.	PUNCT
esrj-104741	190	1	each	each	DET
esrj-104741	190	2	tree	tree	NOUN
esrj-104741	190	3	randomly	randomly	ADV
esrj-104741	190	4	selects	select	VERB
esrj-104741	190	5	features	feature	NOUN
esrj-104741	190	6	,	,	PUNCT
esrj-104741	190	7	adding	add	VERB
esrj-104741	190	8	feature	feature	NOUN
esrj-104741	190	9	disturbance	disturbance	NOUN
esrj-104741	190	10	,	,	PUNCT
esrj-104741	190	11	and	and	CCONJ
esrj-104741	190	12	the	the	DET
esrj-104741	190	13	error	error	NOUN
esrj-104741	190	14	rate	rate	NOUN
esrj-104741	190	15	of	of	ADP
esrj-104741	190	16	the	the	DET
esrj-104741	190	17	standard	standard	ADJ
esrj-104741	190	18	parameters	parameter	NOUN
esrj-104741	190	19	for	for	ADP
esrj-104741	190	20	dividing	divide	VERB
esrj-104741	190	21	the	the	DET
esrj-104741	190	22	gini	gini	PROPN
esrj-104741	190	23	coefficient	coefficient	NOUN
esrj-104741	190	24	and	and	CCONJ
esrj-104741	190	25	information	information	NOUN
esrj-104741	190	26	gain	gain	NOUN
esrj-104741	190	27	is	be	AUX
esrj-104741	190	28	not	not	PART
esrj-104741	190	29	much	much	ADV
esrj-104741	190	30	different	different	ADJ
esrj-104741	190	31	.	.	PUNCT
esrj-104741	191	1	from	from	ADP
esrj-104741	191	2	the	the	DET
esrj-104741	191	3	characteristic	characteristic	ADJ
esrj-104741	191	4	analysis	analysis	NOUN
esrj-104741	191	5	,	,	PUNCT
esrj-104741	191	6	it	it	PRON
esrj-104741	191	7	can	can	AUX
esrj-104741	191	8	be	be	AUX
esrj-104741	191	9	seen	see	VERB
esrj-104741	191	10	that	that	SCONJ
esrj-104741	191	11	pyrolysis	pyrolysis	NOUN
esrj-104741	191	12	and	and	CCONJ
esrj-104741	191	13	oil	oil	NOUN
esrj-104741	191	14	-	-	PUNCT
esrj-104741	191	15	bearing	bear	VERB
esrj-104741	191	16	grades	grade	NOUN
esrj-104741	191	17	are	be	AUX
esrj-104741	191	18	important	important	ADJ
esrj-104741	191	19	features	feature	NOUN
esrj-104741	191	20	in	in	ADP
esrj-104741	191	21	the	the	DET
esrj-104741	191	22	identification	identification	NOUN
esrj-104741	191	23	of	of	ADP
esrj-104741	191	24	oil	oil	NOUN
esrj-104741	191	25	and	and	CCONJ
esrj-104741	191	26	water	water	NOUN
esrj-104741	191	27	layers	layer	NOUN
esrj-104741	191	28	in	in	ADP
esrj-104741	191	29	both	both	CCONJ
esrj-104741	191	30	the	the	DET
esrj-104741	191	31	eastern	eastern	ADJ
esrj-104741	191	32	and	and	CCONJ
esrj-104741	191	33	western	western	ADJ
esrj-104741	191	34	regions	region	NOUN
esrj-104741	191	35	,	,	PUNCT
esrj-104741	191	36	which	which	PRON
esrj-104741	191	37	is	be	AUX
esrj-104741	191	38	consistent	consistent	ADJ
esrj-104741	191	39	with	with	ADP
esrj-104741	191	40	the	the	DET
esrj-104741	191	41	traditional	traditional	ADJ
esrj-104741	191	42	plate	plate	NOUN
esrj-104741	191	43	method	method	NOUN
esrj-104741	191	44	and	and	CCONJ
esrj-104741	191	45	theoretical	theoretical	ADJ
esrj-104741	191	46	knowledge	knowledge	NOUN
esrj-104741	191	47	.	.	PUNCT
esrj-104741	192	1	75application	75application	NOUN
esrj-104741	192	2	of	of	ADP
esrj-104741	192	3	random	random	ADJ
esrj-104741	192	4	forest	forest	NOUN
esrj-104741	192	5	method	method	NOUN
esrj-104741	192	6	in	in	ADP
esrj-104741	192	7	oil	oil	NOUN
esrj-104741	192	8	and	and	CCONJ
esrj-104741	192	9	water	water	NOUN
esrj-104741	192	10	layer	layer	NOUN
esrj-104741	192	11	identification	identification	NOUN
esrj-104741	192	12	of	of	ADP
esrj-104741	192	13	logging	log	VERB
esrj-104741	192	14	data	datum	NOUN
esrj-104741	192	15	:	:	PUNCT
esrj-104741	192	16	a	a	DET
esrj-104741	192	17	case	case	NOUN
esrj-104741	192	18	study	study	NOUN
esrj-104741	192	19	of	of	ADP
esrj-104741	192	20	the	the	DET
esrj-104741	192	21	liaohe	liaohe	NOUN
esrj-104741	192	22	depression	depression	NOUN
esrj-104741	192	23	3	3	X
esrj-104741	192	24	.	.	PUNCT
esrj-104741	192	25	from	from	ADP
esrj-104741	192	26	the	the	DET
esrj-104741	192	27	prediction	prediction	NOUN
esrj-104741	192	28	results	result	NOUN
esrj-104741	192	29	,	,	PUNCT
esrj-104741	192	30	random	random	ADJ
esrj-104741	192	31	forest	forest	NOUN
esrj-104741	192	32	has	have	VERB
esrj-104741	192	33	a	a	DET
esrj-104741	192	34	high	high	ADJ
esrj-104741	192	35	accuracy	accuracy	NOUN
esrj-104741	192	36	in	in	ADP
esrj-104741	192	37	the	the	DET
esrj-104741	192	38	identification	identification	NOUN
esrj-104741	192	39	of	of	ADP
esrj-104741	192	40	reservoir	reservoir	NOUN
esrj-104741	192	41	water	water	NOUN
esrj-104741	192	42	.	.	PUNCT
esrj-104741	193	1	at	at	ADP
esrj-104741	193	2	a	a	DET
esrj-104741	193	3	confidence	confidence	NOUN
esrj-104741	193	4	level	level	NOUN
esrj-104741	193	5	of	of	ADP
esrj-104741	193	6	0.95	0.95	NUM
esrj-104741	193	7	,	,	PUNCT
esrj-104741	193	8	the	the	DET
esrj-104741	193	9	accuracy	accuracy	NOUN
esrj-104741	193	10	rates	rate	NOUN
esrj-104741	193	11	in	in	ADP
esrj-104741	193	12	the	the	DET
esrj-104741	193	13	east	east	NOUN
esrj-104741	193	14	are	be	AUX
esrj-104741	193	15	89.9%-91.5	89.9%-91.5	NUM
esrj-104741	193	16	%	%	NOUN
esrj-104741	193	17	,	,	PUNCT
esrj-104741	193	18	and	and	CCONJ
esrj-104741	193	19	the	the	DET
esrj-104741	193	20	accuracy	accuracy	NOUN
esrj-104741	193	21	in	in	ADP
esrj-104741	193	22	the	the	DET
esrj-104741	193	23	west	west	NOUN
esrj-104741	193	24	is	be	AUX
esrj-104741	193	25	94.4%95.4	94.4%95.4	NUM
esrj-104741	193	26	%	%	NOUN
esrj-104741	193	27	.	.	PUNCT
esrj-104741	194	1	the	the	DET
esrj-104741	194	2	lower	low	ADJ
esrj-104741	194	3	value	value	NOUN
esrj-104741	194	4	in	in	ADP
esrj-104741	194	5	the	the	DET
esrj-104741	194	6	eastern	eastern	ADJ
esrj-104741	194	7	region	region	NOUN
esrj-104741	194	8	is	be	AUX
esrj-104741	194	9	mainly	mainly	ADV
esrj-104741	194	10	related	relate	VERB
esrj-104741	194	11	to	to	ADP
esrj-104741	194	12	the	the	DET
esrj-104741	194	13	amount	amount	NOUN
esrj-104741	194	14	of	of	ADP
esrj-104741	194	15	data	datum	NOUN
esrj-104741	194	16	and	and	CCONJ
esrj-104741	194	17	is	be	AUX
esrj-104741	194	18	caused	cause	VERB
esrj-104741	194	19	by	by	ADP
esrj-104741	194	20	the	the	DET
esrj-104741	194	21	imbalance	imbalance	NOUN
esrj-104741	194	22	of	of	ADP
esrj-104741	194	23	data	datum	NOUN
esrj-104741	194	24	types	type	NOUN
esrj-104741	194	25	.	.	PUNCT
esrj-104741	195	1	with	with	ADP
esrj-104741	195	2	the	the	DET
esrj-104741	195	3	continuous	continuous	ADJ
esrj-104741	195	4	development	development	NOUN
esrj-104741	195	5	of	of	ADP
esrj-104741	195	6	big	big	ADJ
esrj-104741	195	7	data	datum	NOUN
esrj-104741	195	8	and	and	CCONJ
esrj-104741	195	9	artificial	artificial	ADJ
esrj-104741	195	10	intelligence	intelligence	NOUN
esrj-104741	195	11	,	,	PUNCT
esrj-104741	195	12	machine	machine	NOUN
esrj-104741	195	13	learning	learning	NOUN
esrj-104741	195	14	will	will	AUX
esrj-104741	195	15	find	find	VERB
esrj-104741	195	16	more	more	ADJ
esrj-104741	195	17	applications	application	NOUN
esrj-104741	195	18	in	in	ADP
esrj-104741	195	19	the	the	DET
esrj-104741	195	20	field	field	NOUN
esrj-104741	195	21	of	of	ADP
esrj-104741	195	22	oil	oil	NOUN
esrj-104741	195	23	and	and	CCONJ
esrj-104741	195	24	gas	gas	NOUN
esrj-104741	195	25	exploration	exploration	NOUN
esrj-104741	195	26	.	.	PUNCT
esrj-104741	196	1	references	reference	NOUN
esrj-104741	196	2	:	:	PUNCT
esrj-104741	196	3	bengio	bengio	NOUN
esrj-104741	196	4	,	,	PUNCT
esrj-104741	196	5	y.	y.	NOUN
esrj-104741	196	6	,	,	PUNCT
esrj-104741	196	7	courville	courville	NOUN
esrj-104741	196	8	,	,	PUNCT
esrj-104741	196	9	a.	a.	NOUN
esrj-104741	196	10	,	,	PUNCT
esrj-104741	196	11	&	&	CCONJ
esrj-104741	196	12	vincent	vincent	PROPN
esrj-104741	196	13	,	,	PUNCT
esrj-104741	196	14	p.	p.	NOUN
esrj-104741	196	15	(	(	PUNCT
esrj-104741	196	16	2012	2012	NUM
esrj-104741	196	17	)	)	PUNCT
esrj-104741	196	18	.	.	PUNCT
esrj-104741	197	1	representation	representation	NOUN
esrj-104741	197	2	learning	learning	NOUN
esrj-104741	197	3	:	:	PUNCT
esrj-104741	197	4	a	a	DET
esrj-104741	197	5	review	review	NOUN
esrj-104741	197	6	and	and	CCONJ
esrj-104741	197	7	new	new	ADJ
esrj-104741	197	8	perspectives	perspective	NOUN
esrj-104741	197	9	.	.	PUNCT
esrj-104741	198	1	arxiv	arxiv	PROPN
esrj-104741	198	2	.	.	PUNCT
esrj-104741	199	1	/abs/1206.5538	/abs/1206.5538	PROPN
esrj-104741	199	2	.	.	PUNCT
esrj-104741	200	1	https://doi	https://doi	PROPN
esrj-104741	200	2	.	.	PUNCT
esrj-104741	200	3	org/10.48550	org/10.48550	NOUN
esrj-104741	200	4	/	/	SYM
esrj-104741	200	5	arxiv.1206.5538	arxiv.1206.5538	NOUN
esrj-104741	200	6	breiman	breiman	NOUN
esrj-104741	200	7	,	,	PUNCT
esrj-104741	200	8	l.	l.	PROPN
esrj-104741	200	9	(	(	PUNCT
esrj-104741	200	10	2001	2001	NUM
esrj-104741	200	11	)	)	PUNCT
esrj-104741	200	12	.	.	PUNCT
esrj-104741	201	1	random	random	ADJ
esrj-104741	201	2	forest	forest	NOUN
esrj-104741	201	3	.	.	PUNCT
esrj-104741	202	1	machine	machine	NOUN
esrj-104741	202	2	learning	learning	PROPN
esrj-104741	202	3	,	,	PUNCT
esrj-104741	202	4	45	45	NUM
esrj-104741	202	5	,	,	PUNCT
esrj-104741	202	6	5	5	NUM
esrj-104741	202	7	-	-	SYM
esrj-104741	202	8	32	32	NUM
esrj-104741	202	9	chawla	chawla	NOUN
esrj-104741	202	10	,	,	PUNCT
esrj-104741	202	11	n.	n.	PROPN
esrj-104741	202	12	v.	v.	PROPN
esrj-104741	202	13	,	,	PUNCT
esrj-104741	202	14	bowyer	bowyer	PROPN
esrj-104741	202	15	,	,	PUNCT
esrj-104741	202	16	k.	k.	PROPN
esrj-104741	202	17	w.	w.	PROPN
esrj-104741	202	18	,	,	PUNCT
esrj-104741	202	19	&	&	CCONJ
esrj-104741	202	20	hall	hall	PROPN
esrj-104741	202	21	,	,	PUNCT
esrj-104741	202	22	l.	l.	PROPN
esrj-104741	202	23	o.	o.	PROPN
esrj-104741	202	24	(	(	PUNCT
esrj-104741	202	25	2011	2011	NUM
esrj-104741	202	26	)	)	PUNCT
esrj-104741	202	27	.	.	PUNCT
esrj-104741	203	1	smote	smote	VERB
esrj-104741	203	2	:	:	PUNCT
esrj-104741	203	3	synthetic	synthetic	ADJ
esrj-104741	203	4	minority	minority	NOUN
esrj-104741	203	5	over	over	ADP
esrj-104741	203	6	-	-	PUNCT
esrj-104741	203	7	sampling	sample	VERB
esrj-104741	203	8	technique	technique	NOUN
esrj-104741	203	9	.	.	PUNCT
esrj-104741	204	1	journal	journal	NOUN
esrj-104741	204	2	of	of	ADP
esrj-104741	204	3	artificial	artificial	ADJ
esrj-104741	204	4	intelligence	intelligence	NOUN
esrj-104741	204	5	research	research	NOUN
esrj-104741	204	6	,	,	PUNCT
esrj-104741	204	7	16(1	16(1	NUM
esrj-104741	204	8	)	)	PUNCT
esrj-104741	204	9	,	,	PUNCT
esrj-104741	204	10	321	321	NUM
esrj-104741	204	11	-	-	SYM
esrj-104741	204	12	357	357	NUM
esrj-104741	204	13	.	.	PUNCT
esrj-104741	205	1	cheng	cheng	PROPN
esrj-104741	205	2	,	,	PUNCT
esrj-104741	205	3	k.	k.	PROPN
esrj-104741	205	4	(	(	PUNCT
esrj-104741	205	5	2007	2007	NUM
esrj-104741	205	6	)	)	PUNCT
esrj-104741	205	7	.	.	PUNCT
esrj-104741	206	1	a	a	DET
esrj-104741	206	2	review	review	NOUN
esrj-104741	206	3	of	of	ADP
esrj-104741	206	4	the	the	DET
esrj-104741	206	5	theory	theory	NOUN
esrj-104741	206	6	and	and	CCONJ
esrj-104741	206	7	methods	method	NOUN
esrj-104741	206	8	of	of	ADP
esrj-104741	206	9	statistical	statistical	ADJ
esrj-104741	206	10	data	datum	NOUN
esrj-104741	206	11	preprocessing	preprocessing	NOUN
esrj-104741	206	12	.	.	PUNCT
esrj-104741	207	1	statistics	statistic	NOUN
esrj-104741	207	2	and	and	CCONJ
esrj-104741	207	3	information	information	NOUN
esrj-104741	207	4	forum	forum	PROPN
esrj-104741	207	5	,	,	PUNCT
esrj-104741	207	6	22(6	22(6	NUM
esrj-104741	207	7	)	)	PUNCT
esrj-104741	207	8	,	,	PUNCT
esrj-104741	207	9	98	98	NUM
esrj-104741	207	10	-	-	SYM
esrj-104741	207	11	103	103	NUM
esrj-104741	207	12	.	.	PUNCT
esrj-104741	207	13	cutler	cutler	PROPN
esrj-104741	207	14	,	,	PUNCT
esrj-104741	207	15	a.	a.	NOUN
esrj-104741	207	16	,	,	PUNCT
esrj-104741	207	17	cutler	cutler	NOUN
esrj-104741	207	18	,	,	PUNCT
esrj-104741	207	19	d.	d.	PROPN
esrj-104741	207	20	r.	r.	PROPN
esrj-104741	207	21	,	,	PUNCT
esrj-104741	207	22	&	&	CCONJ
esrj-104741	207	23	stevens	stevens	PROPN
esrj-104741	207	24	,	,	PUNCT
esrj-104741	207	25	j.	j.	PROPN
esrj-104741	207	26	r.	r.	PROPN
esrj-104741	207	27	(	(	PUNCT
esrj-104741	207	28	2004	2004	NUM
esrj-104741	207	29	)	)	PUNCT
esrj-104741	207	30	.	.	PUNCT
esrj-104741	208	1	random	random	ADJ
esrj-104741	208	2	forests	forest	NOUN
esrj-104741	208	3	.	.	PUNCT
esrj-104741	209	1	machine	machine	NOUN
esrj-104741	209	2	learning	learning	PROPN
esrj-104741	209	3	,	,	PUNCT
esrj-104741	209	4	45(1	45(1	NOUN
esrj-104741	209	5	)	)	PUNCT
esrj-104741	209	6	,	,	PUNCT
esrj-104741	209	7	157	157	NUM
esrj-104741	209	8	-	-	SYM
esrj-104741	209	9	176	176	NUM
esrj-104741	209	10	.	.	PUNCT
esrj-104741	210	1	džeroski	džeroski	PROPN
esrj-104741	210	2	,	,	PUNCT
esrj-104741	210	3	s.	s.	PROPN
esrj-104741	210	4	,	,	PUNCT
esrj-104741	210	5	&	&	CCONJ
esrj-104741	210	6	ženko	ženko	PROPN
esrj-104741	210	7	,	,	PUNCT
esrj-104741	210	8	b.	b.	PROPN
esrj-104741	210	9	(	(	PUNCT
esrj-104741	210	10	2004	2004	NUM
esrj-104741	210	11	)	)	PUNCT
esrj-104741	210	12	.	.	PUNCT
esrj-104741	211	1	is	be	AUX
esrj-104741	211	2	combining	combine	VERB
esrj-104741	211	3	classifiers	classifier	NOUN
esrj-104741	211	4	with	with	ADP
esrj-104741	211	5	stacking	stack	VERB
esrj-104741	211	6	better	well	ADV
esrj-104741	211	7	than	than	ADP
esrj-104741	211	8	selecting	select	VERB
esrj-104741	211	9	the	the	DET
esrj-104741	211	10	best	good	ADJ
esrj-104741	211	11	one	one	NUM
esrj-104741	211	12	?	?	PUNCT
esrj-104741	211	13	machine	machine	NOUN
esrj-104741	211	14	learning	learning	NOUN
esrj-104741	211	15	,	,	PUNCT
esrj-104741	211	16	54	54	NUM
esrj-104741	211	17	,	,	PUNCT
esrj-104741	211	18	255–273	255–273	NUM
esrj-104741	211	19	.	.	PUNCT
esrj-104741	212	1	https://doi.org/10.1023/b:mach.0000015881.36452.6e	https://doi.org/10.1023/b:mach.0000015881.36452.6e	PROPN
esrj-104741	212	2	hang	hang	PROPN
esrj-104741	212	3	,	,	PUNCT
esrj-104741	212	4	l.	l.	PROPN
esrj-104741	212	5	(	(	PUNCT
esrj-104741	212	6	2012	2012	NUM
esrj-104741	212	7	)	)	PUNCT
esrj-104741	212	8	.	.	PUNCT
esrj-104741	213	1	statistical	statistical	ADJ
esrj-104741	213	2	learning	learning	NOUN
esrj-104741	213	3	methods	method	NOUN
esrj-104741	213	4	.	.	PUNCT
esrj-104741	214	1	beijing	beijing	PROPN
esrj-104741	214	2	:	:	PUNCT
esrj-104741	215	1	tsinghua	tsinghua	PROPN
esrj-104741	215	2	university	university	PROPN
esrj-104741	215	3	press	press	NOUN
esrj-104741	215	4	.	.	PUNCT
esrj-104741	216	1	kang	kang	PROPN
esrj-104741	216	2	,	,	PUNCT
esrj-104741	216	3	q.	q.	PROPN
esrj-104741	216	4	,	,	PUNCT
esrj-104741	216	5	&	&	CCONJ
esrj-104741	216	6	lu	lu	PROPN
esrj-104741	216	7	,	,	PUNCT
esrj-104741	216	8	l.	l.	PROPN
esrj-104741	216	9	(	(	PUNCT
esrj-104741	216	10	2020	2020	NUM
esrj-104741	216	11	)	)	PUNCT
esrj-104741	216	12	.	.	PUNCT
esrj-104741	217	1	application	application	NOUN
esrj-104741	217	2	of	of	ADP
esrj-104741	217	3	stochastic	stochastic	ADJ
esrj-104741	217	4	forest	forest	NOUN
esrj-104741	217	5	algorithm	algorithm	NOUN
esrj-104741	217	6	in	in	ADP
esrj-104741	217	7	lithology	lithology	NOUN
esrj-104741	217	8	classification	classification	NOUN
esrj-104741	217	9	of	of	ADP
esrj-104741	217	10	logging	log	VERB
esrj-104741	217	11	.	.	PUNCT
esrj-104741	218	1	world	world	NOUN
esrj-104741	218	2	geology	geology	NOUN
esrj-104741	218	3	,	,	PUNCT
esrj-104741	218	4	39(2	39(2	NUM
esrj-104741	218	5	)	)	PUNCT
esrj-104741	218	6	,	,	PUNCT
esrj-104741	218	7	398	398	NUM
esrj-104741	218	8	-	-	SYM
esrj-104741	218	9	405	405	NUM
esrj-104741	218	10	.	.	PUNCT
esrj-104741	219	1	lai	lai	PROPN
esrj-104741	219	2	,	,	PUNCT
esrj-104741	219	3	q.	q.	PROPN
esrj-104741	219	4	,	,	PUNCT
esrj-104741	219	5	wei	wei	PROPN
esrj-104741	219	6	,	,	PUNCT
esrj-104741	219	7	b.	b.	PROPN
esrj-104741	219	8	,	,	PUNCT
esrj-104741	219	9	&	&	CCONJ
esrj-104741	219	10	wu	wu	PROPN
esrj-104741	219	11	,	,	PUNCT
esrj-104741	219	12	y.	y.	PROPN
esrj-104741	219	13	(	(	PUNCT
esrj-104741	219	14	2021	2021	NUM
esrj-104741	219	15	)	)	PUNCT
esrj-104741	219	16	.	.	PUNCT
esrj-104741	220	1	k	k	X
esrj-104741	220	2	-	-	ADJ
esrj-104741	220	3	neighbor	neighbor	NOUN
esrj-104741	220	4	algorithm	algorithm	NOUN
esrj-104741	220	5	for	for	ADP
esrj-104741	220	6	igneous	igneous	ADJ
esrj-104741	220	7	lithology	lithology	NOUN
esrj-104741	220	8	based	base	VERB
esrj-104741	220	9	on	on	ADP
esrj-104741	220	10	random	random	ADJ
esrj-104741	220	11	forest	forest	NOUN
esrj-104741	220	12	.	.	PUNCT
esrj-104741	221	1	special	special	ADJ
esrj-104741	221	2	oil	oil	NOUN
esrj-104741	221	3	and	and	CCONJ
esrj-104741	221	4	gas	gas	NOUN
esrj-104741	221	5	reservoirs	reservoir	NOUN
esrj-104741	221	6	,	,	PUNCT
esrj-104741	221	7	28(6	28(6	NOUN
esrj-104741	221	8	)	)	PUNCT
esrj-104741	221	9	,	,	PUNCT
esrj-104741	221	10	62	62	NUM
esrj-104741	221	11	-	-	SYM
esrj-104741	221	12	69	69	NUM
esrj-104741	221	13	.	.	PUNCT
esrj-104741	222	1	liang	liang	PROPN
esrj-104741	222	2	,	,	PUNCT
esrj-104741	222	3	j.	j.	PROPN
esrj-104741	222	4	,	,	PUNCT
esrj-104741	222	5	chen	chen	PROPN
esrj-104741	222	6	,	,	PUNCT
esrj-104741	222	7	j.	j.	PROPN
esrj-104741	222	8	,	,	PUNCT
esrj-104741	222	9	&	&	CCONJ
esrj-104741	222	10	zhang	zhang	PROPN
esrj-104741	222	11	,	,	PUNCT
esrj-104741	222	12	x.	x.	NOUN
esrj-104741	222	13	(	(	PUNCT
esrj-104741	222	14	2019	2019	NUM
esrj-104741	222	15	)	)	PUNCT
esrj-104741	222	16	.	.	PUNCT
esrj-104741	223	1	anomaly	anomaly	PROPN
esrj-104741	223	2	detection	detection	NOUN
esrj-104741	223	3	based	base	VERB
esrj-104741	223	4	on	on	ADP
esrj-104741	223	5	durtific	durtific	ADJ
esrj-104741	223	6	coding	coding	NOUN
esrj-104741	223	7	and	and	CCONJ
esrj-104741	223	8	convolutional	convolutional	ADJ
esrj-104741	223	9	neural	neural	ADJ
esrj-104741	223	10	network	network	NOUN
esrj-104741	223	11	.	.	PUNCT
esrj-104741	224	1	journal	journal	PROPN
esrj-104741	224	2	of	of	ADP
esrj-104741	224	3	tsinghua	tsinghua	PROPN
esrj-104741	224	4	university	university	PROPN
esrj-104741	224	5	(	(	PUNCT
esrj-104741	224	6	natural	natural	ADJ
esrj-104741	224	7	science	science	NOUN
esrj-104741	224	8	edition	edition	NOUN
esrj-104741	224	9	)	)	PUNCT
esrj-104741	224	10	,	,	PUNCT
esrj-104741	224	11	59(7	59(7	NUM
esrj-104741	224	12	)	)	PUNCT
esrj-104741	224	13	,	,	PUNCT
esrj-104741	224	14	523	523	NUM
esrj-104741	224	15	-	-	SYM
esrj-104741	224	16	529	529	NUM
esrj-104741	224	17	.	.	PUNCT
esrj-104741	225	1	liu	liu	PROPN
esrj-104741	225	2	,	,	PUNCT
esrj-104741	225	3	y.	y.	PROPN
esrj-104741	225	4	,	,	PUNCT
esrj-104741	225	5	liu	liu	PROPN
esrj-104741	225	6	,	,	PUNCT
esrj-104741	225	7	s.	s.	PROPN
esrj-104741	225	8	,	,	PUNCT
esrj-104741	225	9	&	&	CCONJ
esrj-104741	225	10	ma	ma	PROPN
esrj-104741	225	11	,	,	PUNCT
esrj-104741	225	12	q.	q.	PROPN
esrj-104741	225	13	(	(	PUNCT
esrj-104741	225	14	2019	2019	NUM
esrj-104741	225	15	)	)	PUNCT
esrj-104741	225	16	.	.	PUNCT
esrj-104741	226	1	application	application	NOUN
esrj-104741	226	2	of	of	ADP
esrj-104741	226	3	bp	bp	PROPN
esrj-104741	226	4	neural	neural	ADJ
esrj-104741	226	5	network	network	NOUN
esrj-104741	226	6	method	method	NOUN
esrj-104741	226	7	in	in	ADP
esrj-104741	226	8	slate	slate	NOUN
esrj-104741	226	9	facies	facie	NOUN
esrj-104741	226	10	identification	identification	NOUN
esrj-104741	226	11	of	of	ADP
esrj-104741	226	12	lucaogou	lucaogou	ADJ
esrj-104741	226	13	formation	formation	NOUN
esrj-104741	226	14	in	in	ADP
esrj-104741	226	15	santanghu	santanghu	NOUN
esrj-104741	226	16	basin	basin	NOUN
esrj-104741	226	17	.	.	PUNCT
esrj-104741	227	1	lithological	lithological	ADJ
esrj-104741	227	2	reservoirs	reservoir	NOUN
esrj-104741	227	3	,	,	PUNCT
esrj-104741	227	4	31(4	31(4	NUM
esrj-104741	227	5	)	)	PUNCT
esrj-104741	227	6	,	,	PUNCT
esrj-104741	227	7	101	101	NUM
esrj-104741	227	8	-	-	SYM
esrj-104741	227	9	111	111	NUM
esrj-104741	227	10	.	.	PUNCT
esrj-104741	228	1	pedregosa	pedregosa	PROPN
esrj-104741	228	2	,	,	PUNCT
esrj-104741	228	3	f.	f.	PROPN
esrj-104741	228	4	,	,	PUNCT
esrj-104741	228	5	varoquaux	varoquaux	PROPN
esrj-104741	228	6	,	,	PUNCT
esrj-104741	228	7	g.	g.	PROPN
esrj-104741	228	8	,	,	PUNCT
esrj-104741	228	9	&	&	CCONJ
esrj-104741	228	10	gramfort	gramfort	PROPN
esrj-104741	228	11	,	,	PUNCT
esrj-104741	228	12	a.	a.	NOUN
esrj-104741	228	13	(	(	PUNCT
esrj-104741	228	14	2012	2012	NUM
esrj-104741	228	15	)	)	PUNCT
esrj-104741	228	16	.	.	PUNCT
esrj-104741	229	1	scikit	scikit	NOUN
esrj-104741	229	2	-	-	PUNCT
esrj-104741	229	3	learn	learn	VERB
esrj-104741	229	4	:	:	PUNCT
esrj-104741	229	5	machine	machine	NOUN
esrj-104741	229	6	learning	learning	NOUN
esrj-104741	229	7	in	in	ADP
esrj-104741	229	8	python	python	PROPN
esrj-104741	229	9	.	.	PUNCT
esrj-104741	230	1	journal	journal	PROPN
esrj-104741	230	2	of	of	ADP
esrj-104741	230	3	machine	machine	NOUN
esrj-104741	230	4	learning	learn	VERB
esrj-104741	230	5	research	research	NOUN
esrj-104741	230	6	,	,	PUNCT
esrj-104741	230	7	12(10	12(10	NUM
esrj-104741	230	8	)	)	PUNCT
esrj-104741	230	9	,	,	PUNCT
esrj-104741	230	10	28252830	28252830	NUM
esrj-104741	230	11	.	.	PUNCT
esrj-104741	231	1	su	su	PROPN
esrj-104741	231	2	,	,	PUNCT
esrj-104741	231	3	g.	g.	PROPN
esrj-104741	231	4	(	(	PUNCT
esrj-104741	231	5	2006	2006	NUM
esrj-104741	231	6	)	)	PUNCT
esrj-104741	231	7	.	.	PUNCT
esrj-104741	232	1	application	application	NOUN
esrj-104741	232	2	of	of	ADP
esrj-104741	232	3	geochemical	geochemical	ADJ
esrj-104741	232	4	gas	gas	NOUN
esrj-104741	232	5	logging	log	VERB
esrj-104741	232	6	data	datum	NOUN
esrj-104741	232	7	in	in	ADP
esrj-104741	232	8	oil	oil	NOUN
esrj-104741	232	9	-	-	PUNCT
esrj-104741	232	10	water	water	NOUN
esrj-104741	232	11	reservoir	reservoir	NOUN
esrj-104741	232	12	identification	identification	NOUN
esrj-104741	232	13	.	.	PUNCT
esrj-104741	233	1	logging	log	VERB
esrj-104741	233	2	technology	technology	NOUN
esrj-104741	233	3	,	,	PUNCT
esrj-104741	233	4	30(6	30(6	NUM
esrj-104741	233	5	)	)	PUNCT
esrj-104741	233	6	,	,	PUNCT
esrj-104741	233	7	551	551	NUM
esrj-104741	233	8	-	-	SYM
esrj-104741	233	9	553	553	NUM
esrj-104741	233	10	.	.	PUNCT
esrj-104741	234	1	wu	wu	PROPN
esrj-104741	234	2	,	,	PUNCT
esrj-104741	234	3	z.	z.	PROPN
esrj-104741	234	4	,	,	PUNCT
esrj-104741	234	5	zhang	zhang	PROPN
esrj-104741	234	6	,	,	PUNCT
esrj-104741	234	7	x.	x.	PROPN
esrj-104741	234	8	,	,	PUNCT
esrj-104741	234	9	zhang	zhang	PROPN
esrj-104741	234	10	,	,	PUNCT
esrj-104741	234	11	c.	c.	PROPN
esrj-104741	234	12	,	,	PUNCT
esrj-104741	234	13	&	&	CCONJ
esrj-104741	234	14	wang	wang	PROPN
esrj-104741	234	15	,	,	PUNCT
esrj-104741	234	16	h.	h.	PROPN
esrj-104741	234	17	(	(	PUNCT
esrj-104741	234	18	2021	2021	NUM
esrj-104741	234	19	)	)	PUNCT
esrj-104741	234	20	.	.	PUNCT
esrj-104741	235	1	lithology	lithology	NOUN
esrj-104741	235	2	recognition	recognition	NOUN
esrj-104741	235	3	method	method	NOUN
esrj-104741	235	4	based	base	VERB
esrj-104741	235	5	on	on	ADP
esrj-104741	235	6	lstm	lstm	PROPN
esrj-104741	235	7	recurrent	recurrent	ADJ
esrj-104741	235	8	neural	neural	ADJ
esrj-104741	235	9	network	network	NOUN
esrj-104741	235	10	.	.	PUNCT
esrj-104741	236	1	lithological	lithological	ADJ
esrj-104741	236	2	reservoirs	reservoir	NOUN
esrj-104741	236	3	,	,	PUNCT
esrj-104741	236	4	33(3),120	33(3),120	NUM
esrj-104741	236	5	-	-	SYM
esrj-104741	236	6	128	128	NUM
esrj-104741	236	7	.	.	PUNCT
esrj-104741	237	1	xing	xing	PROPN
esrj-104741	237	2	,	,	PUNCT
esrj-104741	237	3	c.	c.	PROPN
esrj-104741	237	4	,	,	PUNCT
esrj-104741	237	5	zhou	zhou	PROPN
esrj-104741	237	6	,	,	PUNCT
esrj-104741	237	7	c.	c.	PROPN
esrj-104741	237	8	,	,	PUNCT
esrj-104741	237	9	&	&	CCONJ
esrj-104741	237	10	he	he	PRON
esrj-104741	237	11	,	,	PUNCT
esrj-104741	237	12	y.	y.	PROPN
esrj-104741	237	13	(	(	PUNCT
esrj-104741	237	14	2022	2022	NUM
esrj-104741	237	15	)	)	PUNCT
esrj-104741	237	16	.	.	PUNCT
esrj-104741	238	1	direct	direct	ADJ
esrj-104741	238	2	inversion	inversion	NOUN
esrj-104741	238	3	of	of	ADP
esrj-104741	238	4	pore	pore	ADJ
esrj-104741	238	5	pressure	pressure	NOUN
esrj-104741	238	6	in	in	ADP
esrj-104741	238	7	unconventional	unconventional	ADJ
esrj-104741	238	8	reservoir	reservoir	NOUN
esrj-104741	238	9	formations	formation	NOUN
esrj-104741	238	10	by	by	ADP
esrj-104741	238	11	bayesian	bayesian	NOUN
esrj-104741	238	12	method	method	NOUN
esrj-104741	238	13	.	.	PUNCT
esrj-104741	239	1	lithological	lithological	ADJ
esrj-104741	239	2	reservoirs	reservoir	NOUN
esrj-104741	239	3	,	,	PUNCT
esrj-104741	239	4	34(3	34(3	NUM
esrj-104741	239	5	)	)	PUNCT
esrj-104741	239	6	,	,	PUNCT
esrj-104741	239	7	1	1	NUM
esrj-104741	239	8	-	-	SYM
esrj-104741	239	9	7	7	NUM
esrj-104741	239	10	.	.	PUNCT
esrj-104741	240	1	wang	wang	PROPN
esrj-104741	240	2	,	,	PUNCT
esrj-104741	240	3	y.	y.	PROPN
esrj-104741	240	4	,	,	PUNCT
esrj-104741	240	5	wang	wang	PROPN
esrj-104741	240	6	,	,	PUNCT
esrj-104741	240	7	m.	m.	NOUN
esrj-104741	240	8	,	,	PUNCT
esrj-104741	240	9	&	&	CCONJ
esrj-104741	240	10	tian	tian	PROPN
esrj-104741	240	11	,	,	PUNCT
esrj-104741	240	12	s.	s.	PROPN
esrj-104741	240	13	(	(	PUNCT
esrj-104741	240	14	2021	2021	NUM
esrj-104741	240	15	)	)	PUNCT
esrj-104741	240	16	.	.	PUNCT
esrj-104741	241	1	coal	coal	NOUN
esrj-104741	241	2	rock	rock	NOUN
esrj-104741	241	3	identification	identification	NOUN
esrj-104741	241	4	based	base	VERB
esrj-104741	241	5	on	on	ADP
esrj-104741	241	6	kalman	kalman	PROPN
esrj-104741	241	7	filter	filter	NOUN
esrj-104741	241	8	and	and	CCONJ
esrj-104741	241	9	random	random	ADJ
esrj-104741	241	10	forest	forest	NOUN
esrj-104741	241	11	.	.	PUNCT
esrj-104741	242	1	coal	coal	NOUN
esrj-104741	242	2	technology	technology	NOUN
esrj-104741	242	3	,	,	PUNCT
esrj-104741	242	4	40(12	40(12	NUM
esrj-104741	242	5	)	)	PUNCT
esrj-104741	242	6	,	,	PUNCT
esrj-104741	242	7	208	208	NUM
esrj-104741	242	8	-	-	SYM
esrj-104741	242	9	211	211	NUM
esrj-104741	242	10	.	.	PUNCT
esrj-104741	243	1	wang	wang	PROPN
esrj-104741	243	2	,	,	PUNCT
esrj-104741	243	3	y.	y.	PROPN
esrj-104741	243	4	,	,	PUNCT
esrj-104741	243	5	wang	wang	PROPN
esrj-104741	243	6	,	,	PUNCT
esrj-104741	243	7	r.	r.	PROPN
esrj-104741	243	8	,	,	PUNCT
esrj-104741	243	9	&	&	CCONJ
esrj-104741	243	10	wie	wie	PROPN
esrj-104741	243	11	,	,	PUNCT
esrj-104741	243	12	k.	k.	PROPN
esrj-104741	243	13	(	(	PUNCT
esrj-104741	243	14	2021	2021	NUM
esrj-104741	243	15	)	)	PUNCT
esrj-104741	243	16	.	.	PUNCT
esrj-104741	244	1	classification	classification	NOUN
esrj-104741	244	2	of	of	ADP
esrj-104741	244	3	compact	compact	ADJ
esrj-104741	244	4	reservoirs	reservoir	NOUN
esrj-104741	244	5	based	base	VERB
esrj-104741	244	6	on	on	ADP
esrj-104741	244	7	random	random	ADJ
esrj-104741	244	8	forests	forest	NOUN
esrj-104741	244	9	:	:	PUNCT
esrj-104741	244	10	a	a	DET
esrj-104741	244	11	case	case	NOUN
esrj-104741	244	12	study	study	NOUN
esrj-104741	244	13	of	of	ADP
esrj-104741	244	14	the	the	DET
esrj-104741	244	15	eastern	eastern	PROPN
esrj-104741	244	16	box	box	PROPN
esrj-104741	244	17	8	8	NUM
esrj-104741	244	18	section	section	NOUN
esrj-104741	244	19	of	of	ADP
esrj-104741	244	20	yan’an	yan’an	PROPN
esrj-104741	244	21	gas	gas	NOUN
esrj-104741	244	22	field	field	NOUN
esrj-104741	244	23	.	.	PUNCT
esrj-104741	245	1	journal	journal	NOUN
esrj-104741	245	2	of	of	ADP
esrj-104741	245	3	xi’an	xi’an	PROPN
esrj-104741	245	4	shiyou	shiyou	PROPN
esrj-104741	245	5	university	university	PROPN
esrj-104741	245	6	(	(	PUNCT
esrj-104741	245	7	natural	natural	ADJ
esrj-104741	245	8	science	science	NOUN
esrj-104741	245	9	edition	edition	NOUN
esrj-104741	245	10	)	)	PUNCT
esrj-104741	245	11	,	,	PUNCT
esrj-104741	245	12	36(6	36(6	NUM
esrj-104741	245	13	)	)	PUNCT
esrj-104741	245	14	,	,	PUNCT
esrj-104741	245	15	1	1	NUM
esrj-104741	245	16	-	-	SYM
esrj-104741	245	17	8	8	NUM
esrj-104741	245	18	.	.	PUNCT
esrj-104741	246	1	zhao	zhao	NOUN
esrj-104741	246	2	,	,	PUNCT
esrj-104741	246	3	m.	m.	NOUN
esrj-104741	246	4	,	,	PUNCT
esrj-104741	246	5	jin	jin	NOUN
esrj-104741	246	6	,	,	PUNCT
esrj-104741	246	7	y.	y.	PROPN
esrj-104741	246	8	,	,	PUNCT
esrj-104741	246	9	&	&	CCONJ
esrj-104741	246	10	wang	wang	PROPN
esrj-104741	246	11	,	,	PUNCT
esrj-104741	246	12	y.	y.	PROPN
esrj-104741	246	13	(	(	PUNCT
esrj-104741	246	14	2021	2021	NUM
esrj-104741	246	15	)	)	PUNCT
esrj-104741	246	16	.	.	PUNCT
esrj-104741	247	1	application	application	NOUN
esrj-104741	247	2	of	of	ADP
esrj-104741	247	3	stochastic	stochastic	ADJ
esrj-104741	247	4	forest	forest	NOUN
esrj-104741	247	5	algorithm	algorithm	NOUN
esrj-104741	247	6	in	in	ADP
esrj-104741	247	7	selection	selection	NOUN
esrj-104741	247	8	decision	decision	NOUN
esrj-104741	247	9	.	.	PUNCT
esrj-104741	248	1	computer	computer	NOUN
esrj-104741	248	2	and	and	CCONJ
esrj-104741	248	3	network	network	NOUN
esrj-104741	248	4	,	,	PUNCT
esrj-104741	248	5	47(22	47(22	PROPN
esrj-104741	248	6	)	)	PUNCT
esrj-104741	248	7	,	,	PUNCT
esrj-104741	248	8	56	56	NUM
esrj-104741	248	9	-	-	SYM
esrj-104741	248	10	59	59	NUM
esrj-104741	248	11	.	.	PUNCT
esrj-104741	249	1	zhong	zhong	PROPN
esrj-104741	249	2	,	,	PUNCT
esrj-104741	249	3	y.	y.	PROPN
esrj-104741	249	4	,	,	PUNCT
esrj-104741	249	5	zhang	zhang	PROPN
esrj-104741	249	6	,	,	PUNCT
esrj-104741	249	7	t.	t.	PROPN
esrj-104741	249	8	,	,	PUNCT
esrj-104741	249	9	&	&	CCONJ
esrj-104741	249	10	li	li	PROPN
esrj-104741	249	11	,	,	PUNCT
esrj-104741	249	12	p.	p.	NOUN
esrj-104741	249	13	(	(	PUNCT
esrj-104741	249	14	2022	2022	NUM
esrj-104741	249	15	)	)	PUNCT
esrj-104741	249	16	.	.	PUNCT
esrj-104741	250	1	study	study	NOUN
esrj-104741	250	2	on	on	ADP
esrj-104741	250	3	the	the	DET
esrj-104741	250	4	classification	classification	NOUN
esrj-104741	250	5	of	of	ADP
esrj-104741	250	6	stochastic	stochastic	ADJ
esrj-104741	250	7	forest	forest	NOUN
esrj-104741	250	8	fusion	fusion	NOUN
esrj-104741	250	9	model	model	NOUN
esrj-104741	250	10	in	in	ADP
esrj-104741	250	11	the	the	DET
esrj-104741	250	12	classification	classification	NOUN
esrj-104741	250	13	of	of	ADP
esrj-104741	250	14	pressure	pressure	NOUN
esrj-104741	250	15	well	well	ADJ
esrj-104741	250	16	methods	method	NOUN
esrj-104741	250	17	.	.	PUNCT
esrj-104741	251	1	journal	journal	PROPN
esrj-104741	251	2	of	of	ADP
esrj-104741	251	3	southwest	southwest	PROPN
esrj-104741	251	4	petroleum	petroleum	PROPN
esrj-104741	251	5	university	university	NOUN
esrj-104741	251	6	(	(	PUNCT
esrj-104741	251	7	natural	natural	ADJ
esrj-104741	251	8	science	science	NOUN
esrj-104741	251	9	edition	edition	NOUN
esrj-104741	251	10	)	)	PUNCT
esrj-104741	251	11	,	,	PUNCT
esrj-104741	251	12	44(1	44(1	PROPN
esrj-104741	251	13	)	)	PUNCT
esrj-104741	251	14	,	,	PUNCT
esrj-104741	251	15	165	165	NUM
esrj-104741	251	16	-	-	SYM
esrj-104741	251	17	173	173	NUM
esrj-104741	251	18	.	.	PUNCT
esrj-104741	252	1	zhou	zhou	PROPN
esrj-104741	252	2	,	,	PUNCT
esrj-104741	252	3	z.	z.	PROPN
esrj-104741	252	4	(	(	PUNCT
esrj-104741	252	5	2016	2016	NUM
esrj-104741	252	6	)	)	PUNCT
esrj-104741	252	7	.	.	PUNCT
esrj-104741	253	1	machine	machine	NOUN
esrj-104741	253	2	learning	learning	PROPN
esrj-104741	253	3	.	.	PUNCT
esrj-104741	254	1	beijing	beijing	PROPN
esrj-104741	254	2	:	:	PUNCT
esrj-104741	255	1	tsinghua	tsinghua	PROPN
esrj-104741	255	2	university	university	PROPN
esrj-104741	255	3	press	press	NOUN
esrj-104741	255	4	.	.	PUNCT
esrj-104741	256	1	zhou	zhou	PROPN
esrj-104741	256	2	,	,	PUNCT
esrj-104741	256	3	x.	x.	PROPN
esrj-104741	256	4	,	,	PUNCT
esrj-104741	256	5	zhang	zhang	PROPN
esrj-104741	256	6	,	,	PUNCT
esrj-104741	256	7	z.	z.	PROPN
esrj-104741	256	8	,	,	PUNCT
esrj-104741	256	9	&	&	CCONJ
esrj-104741	256	10	zhang	zhang	PROPN
esrj-104741	256	11	,	,	PUNCT
esrj-104741	256	12	c.	c.	PROPN
esrj-104741	256	13	(	(	PUNCT
esrj-104741	256	14	2017	2017	NUM
esrj-104741	256	15	)	)	PUNCT
esrj-104741	256	16	.	.	PUNCT
esrj-104741	257	1	complex	complex	ADJ
esrj-104741	257	2	lithology	lithology	NOUN
esrj-104741	257	3	recognition	recognition	NOUN
esrj-104741	257	4	based	base	VERB
esrj-104741	257	5	on	on	ADP
esrj-104741	257	6	rough	rough	ADJ
esrj-104741	257	7	set	set	NOUN
esrj-104741	257	8	-	-	PUNCT
esrj-104741	257	9	random	random	ADJ
esrj-104741	257	10	forest	forest	NOUN
esrj-104741	257	11	algorithm	algorithm	NOUN
esrj-104741	257	12	.	.	PUNCT
esrj-104741	258	1	daqing	daqe	VERB
esrj-104741	258	2	petroleum	petroleum	NOUN
esrj-104741	258	3	geology	geology	NOUN
esrj-104741	258	4	and	and	CCONJ
esrj-104741	258	5	development	development	NOUN
esrj-104741	258	6	,	,	PUNCT
esrj-104741	258	7	36(6	36(6	NUM
esrj-104741	258	8	)	)	PUNCT
esrj-104741	258	9	,	,	PUNCT
esrj-104741	258	10	127	127	NUM
esrj-104741	258	11	-	-	SYM
esrj-104741	258	12	133	133	NUM
esrj-104741	258	13	.	.	PUNCT
esrj-104741	259	1	https://doi.org/10.48550/arxiv.1206.5538	https://doi.org/10.48550/arxiv.1206.5538	PROPN
esrj-104741	259	2	https://doi.org/10.48550/arxiv.1206.5538	https://doi.org/10.48550/arxiv.1206.5538	PROPN
esrj-104741	259	3	https://doi.org/10.1023/b:mach.0000015881.36452.6e	https://doi.org/10.1023/b:mach.0000015881.36452.6e	NUM