id	sid	tid	token	lemma	pos
fcis-14562	1	1	frontiers	frontier	NOUN
fcis-14562	1	2	in	in	ADP
fcis-14562	1	3	computing	computing	NOUN
fcis-14562	1	4	and	and	CCONJ
fcis-14562	1	5	intelligent	intelligent	ADJ
fcis-14562	1	6	systems	system	NOUN
fcis-14562	1	7	issn	issn	VERB
fcis-14562	1	8	:	:	PUNCT
fcis-14562	1	9	2832	2832	NUM
fcis-14562	1	10	-	-	SYM
fcis-14562	1	11	6024	6024	NUM
fcis-14562	1	12	|	|	NOUN
fcis-14562	1	13	vol	vol	NOUN
fcis-14562	1	14	.	.	PROPN
fcis-14562	2	1	6	6	NUM
fcis-14562	2	2	,	,	PUNCT
fcis-14562	2	3	no	no	INTJ
fcis-14562	2	4	.	.	NOUN
fcis-14562	2	5	1	1	NUM
fcis-14562	2	6	,	,	PUNCT
fcis-14562	2	7	2023	2023	NUM
fcis-14562	2	8	1	1	NUM
fcis-14562	3	1	the	the	DET
fcis-14562	3	2	mechanical	mechanical	ADJ
fcis-14562	3	3	performance	performance	NOUN
fcis-14562	3	4	prediction	prediction	NOUN
fcis-14562	3	5	of	of	ADP
fcis-14562	3	6	steel	steel	NOUN
fcis-14562	3	7	materials	material	NOUN
fcis-14562	3	8	based	base	VERB
fcis-14562	3	9	on	on	ADP
fcis-14562	3	10	random	random	ADJ
fcis-14562	3	11	forest	forest	NOUN
fcis-14562	3	12	shihao	shihao	PROPN
fcis-14562	3	13	wang	wang	PROPN
fcis-14562	3	14	*	*	PROPN
fcis-14562	3	15	,	,	PUNCT
fcis-14562	3	16	xiangxiang	xiangxiang	PROPN
fcis-14562	3	17	wu	wu	PROPN
fcis-14562	3	18	school	school	NOUN
fcis-14562	3	19	of	of	ADP
fcis-14562	3	20	mechanical	mechanical	ADJ
fcis-14562	3	21	engineering	engineering	NOUN
fcis-14562	3	22	,	,	PUNCT
fcis-14562	3	23	tianjin	tianjin	PROPN
fcis-14562	3	24	university	university	PROPN
fcis-14562	3	25	of	of	ADP
fcis-14562	3	26	technology	technology	NOUN
fcis-14562	3	27	and	and	CCONJ
fcis-14562	3	28	education	education	NOUN
fcis-14562	3	29	,	,	PUNCT
fcis-14562	3	30	tianjin	tianjin	PROPN
fcis-14562	3	31	300222	300222	NUM
fcis-14562	3	32	,	,	PUNCT
fcis-14562	3	33	china	china	PROPN
fcis-14562	3	34	*	*	PUNCT
fcis-14562	3	35	corresponding	correspond	VERB
fcis-14562	3	36	author	author	NOUN
fcis-14562	3	37	:	:	PUNCT
fcis-14562	3	38	shihao	shihao	PROPN
fcis-14562	3	39	wang	wang	PROPN
fcis-14562	3	40	(	(	PUNCT
fcis-14562	3	41	email	email	NOUN
fcis-14562	3	42	:	:	PUNCT
fcis-14562	3	43	554615076@qq.com	554615076@qq.com	NUM
fcis-14562	3	44	)	)	PUNCT
fcis-14562	3	45	abstract	abstract	NOUN
fcis-14562	3	46	:	:	PUNCT
fcis-14562	3	47	the	the	DET
fcis-14562	3	48	mechanical	mechanical	ADJ
fcis-14562	3	49	performance	performance	NOUN
fcis-14562	3	50	of	of	ADP
fcis-14562	3	51	steel	steel	NOUN
fcis-14562	3	52	materials	material	NOUN
fcis-14562	3	53	is	be	AUX
fcis-14562	3	54	crucial	crucial	ADJ
fcis-14562	3	55	for	for	ADP
fcis-14562	3	56	the	the	DET
fcis-14562	3	57	design	design	NOUN
fcis-14562	3	58	,	,	PUNCT
fcis-14562	3	59	selection	selection	NOUN
fcis-14562	3	60	,	,	PUNCT
fcis-14562	3	61	and	and	CCONJ
fcis-14562	3	62	application	application	NOUN
fcis-14562	3	63	of	of	ADP
fcis-14562	3	64	materials	material	NOUN
fcis-14562	3	65	.	.	PUNCT
fcis-14562	4	1	in	in	ADP
fcis-14562	4	2	order	order	NOUN
fcis-14562	4	3	to	to	PART
fcis-14562	4	4	better	well	ADV
fcis-14562	4	5	predict	predict	VERB
fcis-14562	4	6	the	the	DET
fcis-14562	4	7	mechanical	mechanical	ADJ
fcis-14562	4	8	performance	performance	NOUN
fcis-14562	4	9	through	through	ADP
fcis-14562	4	10	chemical	chemical	ADJ
fcis-14562	4	11	composition	composition	NOUN
fcis-14562	4	12	and	and	CCONJ
fcis-14562	4	13	process	process	NOUN
fcis-14562	4	14	parameters	parameter	NOUN
fcis-14562	4	15	,	,	PUNCT
fcis-14562	4	16	this	this	DET
fcis-14562	4	17	paper	paper	NOUN
fcis-14562	4	18	establishes	establish	VERB
fcis-14562	4	19	a	a	DET
fcis-14562	4	20	predictive	predictive	ADJ
fcis-14562	4	21	model	model	NOUN
fcis-14562	4	22	for	for	ADP
fcis-14562	4	23	the	the	DET
fcis-14562	4	24	mechanical	mechanical	ADJ
fcis-14562	4	25	properties	property	NOUN
fcis-14562	4	26	of	of	ADP
fcis-14562	4	27	steel	steel	NOUN
fcis-14562	4	28	materials	material	NOUN
fcis-14562	4	29	based	base	VERB
fcis-14562	4	30	on	on	ADP
fcis-14562	4	31	the	the	DET
fcis-14562	4	32	random	random	ADJ
fcis-14562	4	33	forest	forest	NOUN
fcis-14562	4	34	algorithm	algorithm	NOUN
fcis-14562	4	35	.	.	PUNCT
fcis-14562	5	1	the	the	DET
fcis-14562	5	2	model	model	NOUN
fcis-14562	5	3	predicts	predict	VERB
fcis-14562	5	4	yield	yield	VERB
fcis-14562	5	5	strength	strength	NOUN
fcis-14562	5	6	,	,	PUNCT
fcis-14562	5	7	tensile	tensile	NOUN
fcis-14562	5	8	strength	strength	NOUN
fcis-14562	5	9	,	,	PUNCT
fcis-14562	5	10	and	and	CCONJ
fcis-14562	5	11	elongation	elongation	NOUN
fcis-14562	5	12	based	base	VERB
fcis-14562	5	13	on	on	ADP
fcis-14562	5	14	chemical	chemical	ADJ
fcis-14562	5	15	composition	composition	NOUN
fcis-14562	5	16	and	and	CCONJ
fcis-14562	5	17	process	process	NOUN
fcis-14562	5	18	parameters	parameter	NOUN
fcis-14562	5	19	.	.	PUNCT
fcis-14562	6	1	the	the	DET
fcis-14562	6	2	results	result	NOUN
fcis-14562	6	3	indicate	indicate	VERB
fcis-14562	6	4	that	that	SCONJ
fcis-14562	6	5	the	the	DET
fcis-14562	6	6	random	random	ADJ
fcis-14562	6	7	forest	forest	NOUN
fcis-14562	6	8	algorithm	algorithm	NOUN
fcis-14562	6	9	model	model	NOUN
fcis-14562	6	10	demonstrates	demonstrate	VERB
fcis-14562	6	11	excellent	excellent	ADJ
fcis-14562	6	12	performance	performance	NOUN
fcis-14562	6	13	in	in	ADP
fcis-14562	6	14	predicting	predict	VERB
fcis-14562	6	15	the	the	DET
fcis-14562	6	16	mechanical	mechanical	ADJ
fcis-14562	6	17	properties	property	NOUN
fcis-14562	6	18	of	of	ADP
fcis-14562	6	19	steel	steel	NOUN
fcis-14562	6	20	materials	material	NOUN
fcis-14562	6	21	.	.	PUNCT
fcis-14562	7	1	keywords	keyword	NOUN
fcis-14562	7	2	:	:	PUNCT
fcis-14562	7	3	yield	yield	NOUN
fcis-14562	7	4	strength	strength	NOUN
fcis-14562	7	5	;	;	PUNCT
fcis-14562	7	6	tensile	tensile	NOUN
fcis-14562	7	7	strength	strength	NOUN
fcis-14562	7	8	;	;	PUNCT
fcis-14562	7	9	elongation	elongation	NOUN
fcis-14562	7	10	;	;	PUNCT
fcis-14562	7	11	random	random	ADJ
fcis-14562	7	12	forest	forest	NOUN
fcis-14562	7	13	algorithm	algorithm	NOUN
fcis-14562	7	14	.	.	PUNCT
fcis-14562	8	1	1	1	X
fcis-14562	8	2	.	.	X
fcis-14562	8	3	introduction	introduction	NOUN
fcis-14562	8	4	the	the	DET
fcis-14562	8	5	mechanical	mechanical	ADJ
fcis-14562	8	6	properties	property	NOUN
fcis-14562	8	7	of	of	ADP
fcis-14562	8	8	steel	steel	NOUN
fcis-14562	8	9	materials	material	NOUN
fcis-14562	8	10	are	be	AUX
fcis-14562	8	11	crucial	crucial	ADJ
fcis-14562	8	12	characteristics	characteristic	NOUN
fcis-14562	8	13	that	that	PRON
fcis-14562	8	14	measure	measure	VERB
fcis-14562	8	15	their	their	PRON
fcis-14562	8	16	resistance	resistance	NOUN
fcis-14562	8	17	and	and	CCONJ
fcis-14562	8	18	deformation	deformation	NOUN
fcis-14562	8	19	behavior	behavior	NOUN
fcis-14562	8	20	.	.	PUNCT
fcis-14562	9	1	these	these	DET
fcis-14562	9	2	performance	performance	NOUN
fcis-14562	9	3	indicators	indicator	NOUN
fcis-14562	9	4	are	be	AUX
fcis-14562	9	5	essential	essential	ADJ
fcis-14562	9	6	for	for	ADP
fcis-14562	9	7	the	the	DET
fcis-14562	9	8	design	design	NOUN
fcis-14562	9	9	,	,	PUNCT
fcis-14562	9	10	selection	selection	NOUN
fcis-14562	9	11	,	,	PUNCT
fcis-14562	9	12	and	and	CCONJ
fcis-14562	9	13	application	application	NOUN
fcis-14562	9	14	of	of	ADP
fcis-14562	9	15	materials	material	NOUN
fcis-14562	9	16	.	.	PUNCT
fcis-14562	10	1	key	key	ADJ
fcis-14562	10	2	parameters	parameter	NOUN
fcis-14562	10	3	among	among	ADP
fcis-14562	10	4	them	they	PRON
fcis-14562	10	5	include	include	VERB
fcis-14562	10	6	tensile	tensile	NOUN
fcis-14562	10	7	strength	strength	NOUN
fcis-14562	10	8	,	,	PUNCT
fcis-14562	10	9	yield	yield	NOUN
fcis-14562	10	10	strength	strength	NOUN
fcis-14562	10	11	,	,	PUNCT
fcis-14562	10	12	and	and	CCONJ
fcis-14562	10	13	elongation	elongation	NOUN
fcis-14562	10	14	.	.	PUNCT
fcis-14562	11	1	the	the	DET
fcis-14562	11	2	mechanical	mechanical	ADJ
fcis-14562	11	3	properties	property	NOUN
fcis-14562	11	4	of	of	ADP
fcis-14562	11	5	steel	steel	NOUN
fcis-14562	11	6	materials	material	NOUN
fcis-14562	11	7	hold	hold	VERB
fcis-14562	11	8	profound	profound	ADJ
fcis-14562	11	9	significance	significance	NOUN
fcis-14562	11	10	in	in	ADP
fcis-14562	11	11	engineering	engineering	NOUN
fcis-14562	11	12	and	and	CCONJ
fcis-14562	11	13	manufacturing	manufacturing	NOUN
fcis-14562	11	14	.	.	PUNCT
fcis-14562	12	1	these	these	DET
fcis-14562	12	2	performance	performance	NOUN
fcis-14562	12	3	indicators	indicator	NOUN
fcis-14562	12	4	directly	directly	ADV
fcis-14562	12	5	impact	impact	VERB
fcis-14562	12	6	the	the	DET
fcis-14562	12	7	safety	safety	NOUN
fcis-14562	12	8	,	,	PUNCT
fcis-14562	12	9	reliability	reliability	NOUN
fcis-14562	12	10	,	,	PUNCT
fcis-14562	12	11	cost	cost	NOUN
fcis-14562	12	12	-	-	PUNCT
fcis-14562	12	13	effectiveness	effectiveness	NOUN
fcis-14562	12	14	,	,	PUNCT
fcis-14562	12	15	and	and	CCONJ
fcis-14562	12	16	sustainability	sustainability	NOUN
fcis-14562	12	17	of	of	ADP
fcis-14562	12	18	material	material	ADJ
fcis-14562	12	19	usage	usage	NOUN
fcis-14562	12	20	.	.	PUNCT
fcis-14562	13	1	high	high	ADJ
fcis-14562	13	2	-	-	PUNCT
fcis-14562	13	3	quality	quality	NOUN
fcis-14562	13	4	steel	steel	NOUN
fcis-14562	13	5	materials	material	NOUN
fcis-14562	13	6	with	with	ADP
fcis-14562	13	7	stable	stable	ADJ
fcis-14562	13	8	mechanical	mechanical	ADJ
fcis-14562	13	9	properties	property	NOUN
fcis-14562	13	10	enhance	enhance	VERB
fcis-14562	13	11	the	the	DET
fcis-14562	13	12	safety	safety	NOUN
fcis-14562	13	13	and	and	CCONJ
fcis-14562	13	14	reliability	reliability	NOUN
fcis-14562	13	15	of	of	ADP
fcis-14562	13	16	engineering	engineering	NOUN
fcis-14562	13	17	structures	structure	NOUN
fcis-14562	13	18	,	,	PUNCT
fcis-14562	13	19	reduce	reduce	VERB
fcis-14562	13	20	maintenance	maintenance	NOUN
fcis-14562	13	21	costs	cost	NOUN
fcis-14562	13	22	,	,	PUNCT
fcis-14562	13	23	minimize	minimize	VERB
fcis-14562	13	24	resource	resource	NOUN
fcis-14562	13	25	waste	waste	NOUN
fcis-14562	13	26	,	,	PUNCT
fcis-14562	13	27	and	and	CCONJ
fcis-14562	13	28	promote	promote	VERB
fcis-14562	13	29	environmental	environmental	ADJ
fcis-14562	13	30	protection	protection	NOUN
fcis-14562	13	31	and	and	CCONJ
fcis-14562	13	32	sustainable	sustainable	ADJ
fcis-14562	13	33	development	development	NOUN
fcis-14562	13	34	.	.	PUNCT
fcis-14562	14	1	furthermore	furthermore	ADV
fcis-14562	14	2	,	,	PUNCT
fcis-14562	14	3	research	research	NOUN
fcis-14562	14	4	on	on	ADP
fcis-14562	14	5	mechanical	mechanical	ADJ
fcis-14562	14	6	properties	property	NOUN
fcis-14562	14	7	drives	drive	VERB
fcis-14562	14	8	the	the	DET
fcis-14562	14	9	development	development	NOUN
fcis-14562	14	10	of	of	ADP
fcis-14562	14	11	new	new	ADJ
fcis-14562	14	12	materials	material	NOUN
fcis-14562	14	13	,	,	PUNCT
fcis-14562	14	14	offering	offer	VERB
fcis-14562	14	15	possibilities	possibility	NOUN
fcis-14562	14	16	for	for	ADP
fcis-14562	14	17	innovation	innovation	NOUN
fcis-14562	14	18	and	and	CCONJ
fcis-14562	14	19	the	the	DET
fcis-14562	14	20	advancement	advancement	NOUN
fcis-14562	14	21	of	of	ADP
fcis-14562	14	22	new	new	ADJ
fcis-14562	14	23	fields	field	NOUN
fcis-14562	14	24	.	.	PUNCT
fcis-14562	15	1	therefore	therefore	ADV
fcis-14562	15	2	,	,	PUNCT
fcis-14562	15	3	a	a	DET
fcis-14562	15	4	comprehensive	comprehensive	ADJ
fcis-14562	15	5	understanding	understanding	NOUN
fcis-14562	15	6	and	and	CCONJ
fcis-14562	15	7	optimization	optimization	NOUN
fcis-14562	15	8	of	of	ADP
fcis-14562	15	9	the	the	DET
fcis-14562	15	10	mechanical	mechanical	ADJ
fcis-14562	15	11	properties	property	NOUN
fcis-14562	15	12	of	of	ADP
fcis-14562	15	13	steel	steel	NOUN
fcis-14562	15	14	materials	material	NOUN
fcis-14562	15	15	are	be	AUX
fcis-14562	15	16	crucial	crucial	ADJ
fcis-14562	15	17	for	for	ADP
fcis-14562	15	18	the	the	DET
fcis-14562	15	19	modern	modern	ADJ
fcis-14562	15	20	engineering	engineering	NOUN
fcis-14562	15	21	and	and	CCONJ
fcis-14562	15	22	manufacturing	manufacturing	NOUN
fcis-14562	15	23	industries	industry	NOUN
fcis-14562	15	24	.	.	PUNCT
fcis-14562	16	1	in	in	ADP
fcis-14562	16	2	the	the	DET
fcis-14562	16	3	manufacturing	manufacturing	NOUN
fcis-14562	16	4	process	process	NOUN
fcis-14562	16	5	of	of	ADP
fcis-14562	16	6	steel	steel	NOUN
fcis-14562	16	7	materials	material	NOUN
fcis-14562	16	8	,	,	PUNCT
fcis-14562	16	9	factors	factor	NOUN
fcis-14562	16	10	influencing	influence	VERB
fcis-14562	16	11	key	key	ADJ
fcis-14562	16	12	mechanical	mechanical	ADJ
fcis-14562	16	13	performance	performance	NOUN
fcis-14562	16	14	indicators	indicator	NOUN
fcis-14562	16	15	can	can	AUX
fcis-14562	16	16	generally	generally	ADV
fcis-14562	16	17	be	be	AUX
fcis-14562	16	18	categorized	categorize	VERB
fcis-14562	16	19	into	into	ADP
fcis-14562	16	20	two	two	NUM
fcis-14562	16	21	main	main	ADJ
fcis-14562	16	22	types	type	NOUN
fcis-14562	16	23	.	.	PUNCT
fcis-14562	17	1	firstly	firstly	ADV
fcis-14562	17	2	,	,	PUNCT
fcis-14562	17	3	the	the	DET
fcis-14562	17	4	material	material	NOUN
fcis-14562	17	5	's	's	PART
fcis-14562	17	6	chemical	chemical	NOUN
fcis-14562	17	7	composition	composition	NOUN
fcis-14562	17	8	,	,	PUNCT
fcis-14562	17	9	which	which	PRON
fcis-14562	17	10	refers	refer	VERB
fcis-14562	17	11	to	to	ADP
fcis-14562	17	12	the	the	DET
fcis-14562	17	13	proportions	proportion	NOUN
fcis-14562	17	14	of	of	ADP
fcis-14562	17	15	trace	trace	NOUN
fcis-14562	17	16	elements	element	NOUN
fcis-14562	17	17	added	add	VERB
fcis-14562	17	18	apart	apart	ADV
fcis-14562	17	19	from	from	ADP
fcis-14562	17	20	iron	iron	NOUN
fcis-14562	17	21	.	.	PUNCT
fcis-14562	18	1	secondly	secondly	ADV
fcis-14562	18	2	,	,	PUNCT
fcis-14562	18	3	process	process	NOUN
fcis-14562	18	4	parameters	parameter	NOUN
fcis-14562	18	5	during	during	ADP
fcis-14562	18	6	production	production	NOUN
fcis-14562	18	7	,	,	PUNCT
fcis-14562	18	8	including	include	VERB
fcis-14562	18	9	quenching	quench	VERB
fcis-14562	18	10	temperature	temperature	NOUN
fcis-14562	18	11	,	,	PUNCT
fcis-14562	18	12	tempering	temper	VERB
fcis-14562	18	13	temperature	temperature	NOUN
fcis-14562	18	14	,	,	PUNCT
fcis-14562	18	15	and	and	CCONJ
fcis-14562	18	16	so	so	ADV
fcis-14562	18	17	on	on	ADV
fcis-14562	18	18	.	.	PUNCT
fcis-14562	19	1	multiple	multiple	ADJ
fcis-14562	19	2	factors	factor	NOUN
fcis-14562	19	3	intertwine	intertwine	VERB
fcis-14562	19	4	,	,	PUNCT
fcis-14562	19	5	complexly	complexly	PROPN
fcis-14562	19	6	affecting	affect	VERB
fcis-14562	19	7	the	the	DET
fcis-14562	19	8	mechanical	mechanical	ADJ
fcis-14562	19	9	performance	performance	NOUN
fcis-14562	19	10	indicators	indicator	NOUN
fcis-14562	19	11	mentioned	mention	VERB
fcis-14562	19	12	above	above	ADV
fcis-14562	19	13	,	,	PUNCT
fcis-14562	19	14	and	and	CCONJ
fcis-14562	19	15	there	there	PRON
fcis-14562	19	16	exist	exist	VERB
fcis-14562	19	17	intricate	intricate	ADJ
fcis-14562	19	18	relationships	relationship	NOUN
fcis-14562	19	19	of	of	ADP
fcis-14562	19	20	mutual	mutual	ADJ
fcis-14562	19	21	constraints	constraint	NOUN
fcis-14562	19	22	and	and	CCONJ
fcis-14562	19	23	influences	influence	NOUN
fcis-14562	19	24	among	among	ADP
fcis-14562	19	25	these	these	DET
fcis-14562	19	26	performance	performance	NOUN
fcis-14562	19	27	indicators	indicator	NOUN
fcis-14562	19	28	.	.	PUNCT
fcis-14562	20	1	traditionally	traditionally	ADV
fcis-14562	20	2	,	,	PUNCT
fcis-14562	20	3	methods	method	NOUN
fcis-14562	20	4	for	for	ADP
fcis-14562	20	5	seeking	seek	VERB
fcis-14562	20	6	material	material	ADJ
fcis-14562	20	7	mechanical	mechanical	ADJ
fcis-14562	20	8	properties	property	NOUN
fcis-14562	20	9	include	include	VERB
fcis-14562	20	10	experimental	experimental	ADJ
fcis-14562	20	11	and	and	CCONJ
fcis-14562	20	12	theoretical	theoretical	ADJ
fcis-14562	20	13	calculation	calculation	NOUN
fcis-14562	20	14	approaches	approach	NOUN
fcis-14562	20	15	.	.	PUNCT
fcis-14562	21	1	experimental	experimental	ADJ
fcis-14562	21	2	methods	method	NOUN
fcis-14562	21	3	have	have	VERB
fcis-14562	21	4	drawbacks	drawback	NOUN
fcis-14562	21	5	such	such	ADJ
fcis-14562	21	6	as	as	ADP
fcis-14562	21	7	being	be	AUX
fcis-14562	21	8	expensive	expensive	ADJ
fcis-14562	21	9	,	,	PUNCT
fcis-14562	21	10	time	time	NOUN
fcis-14562	21	11	-	-	PUNCT
fcis-14562	21	12	consuming	consume	VERB
fcis-14562	21	13	,	,	PUNCT
fcis-14562	21	14	and	and	CCONJ
fcis-14562	21	15	sample	sample	NOUN
fcis-14562	21	16	-	-	PUNCT
fcis-14562	21	17	consuming	consume	VERB
fcis-14562	21	18	.	.	PUNCT
fcis-14562	22	1	theoretical	theoretical	ADJ
fcis-14562	22	2	calculations	calculation	NOUN
fcis-14562	22	3	also	also	ADV
fcis-14562	22	4	suffer	suffer	VERB
fcis-14562	22	5	from	from	ADP
fcis-14562	22	6	limitations	limitation	NOUN
fcis-14562	22	7	like	like	ADP
fcis-14562	22	8	high	high	ADJ
fcis-14562	22	9	computational	computational	ADJ
fcis-14562	22	10	complexity	complexity	NOUN
fcis-14562	22	11	and	and	CCONJ
fcis-14562	22	12	limited	limited	ADJ
fcis-14562	22	13	precision	precision	NOUN
fcis-14562	22	14	.	.	PUNCT
fcis-14562	23	1	in	in	ADP
fcis-14562	23	2	recent	recent	ADJ
fcis-14562	23	3	years	year	NOUN
fcis-14562	23	4	,	,	PUNCT
fcis-14562	23	5	with	with	ADP
fcis-14562	23	6	the	the	DET
fcis-14562	23	7	development	development	NOUN
fcis-14562	23	8	of	of	ADP
fcis-14562	23	9	technologies	technology	NOUN
fcis-14562	23	10	such	such	ADJ
fcis-14562	23	11	as	as	ADP
fcis-14562	23	12	artificial	artificial	ADJ
fcis-14562	23	13	intelligence	intelligence	NOUN
fcis-14562	23	14	and	and	CCONJ
fcis-14562	23	15	machine	machine	NOUN
fcis-14562	23	16	learning	learning	NOUN
fcis-14562	23	17	,	,	PUNCT
fcis-14562	23	18	data	datum	NOUN
fcis-14562	23	19	-	-	PUNCT
fcis-14562	23	20	driven	drive	VERB
fcis-14562	23	21	methods	method	NOUN
fcis-14562	23	22	have	have	AUX
fcis-14562	23	23	emerged	emerge	VERB
fcis-14562	23	24	as	as	ADP
fcis-14562	23	25	new	new	ADJ
fcis-14562	23	26	avenues	avenue	NOUN
fcis-14562	23	27	for	for	ADP
fcis-14562	23	28	studying	study	VERB
fcis-14562	23	29	material	material	ADJ
fcis-14562	23	30	mechanical	mechanical	ADJ
fcis-14562	23	31	properties	property	NOUN
fcis-14562	23	32	.	.	PUNCT
fcis-14562	24	1	for	for	ADP
fcis-14562	24	2	example	example	NOUN
fcis-14562	24	3	,	,	PUNCT
fcis-14562	24	4	machine	machine	NOUN
fcis-14562	24	5	learning	learning	NOUN
fcis-14562	24	6	algorithms	algorithm	NOUN
fcis-14562	24	7	are	be	AUX
fcis-14562	24	8	used	use	VERB
fcis-14562	24	9	to	to	PART
fcis-14562	24	10	analyze	analyze	VERB
fcis-14562	24	11	and	and	CCONJ
fcis-14562	24	12	model	model	VERB
fcis-14562	24	13	large	large	ADJ
fcis-14562	24	14	amounts	amount	NOUN
fcis-14562	24	15	of	of	ADP
fcis-14562	24	16	material	material	NOUN
fcis-14562	24	17	data	datum	NOUN
fcis-14562	24	18	,	,	PUNCT
fcis-14562	24	19	predicting	predict	VERB
fcis-14562	24	20	material	material	NOUN
fcis-14562	24	21	performance	performance	NOUN
fcis-14562	24	22	indicators	indicator	NOUN
fcis-14562	24	23	.	.	PUNCT
fcis-14562	25	1	these	these	DET
fcis-14562	25	2	methods	method	NOUN
fcis-14562	25	3	effectively	effectively	ADV
fcis-14562	25	4	combine	combine	VERB
fcis-14562	25	5	the	the	DET
fcis-14562	25	6	advantages	advantage	NOUN
fcis-14562	25	7	of	of	ADP
fcis-14562	25	8	experiments	experiment	NOUN
fcis-14562	25	9	and	and	CCONJ
fcis-14562	25	10	theoretical	theoretical	ADJ
fcis-14562	25	11	calculations	calculation	NOUN
fcis-14562	25	12	,	,	PUNCT
fcis-14562	25	13	offering	offer	VERB
fcis-14562	25	14	benefits	benefit	NOUN
fcis-14562	25	15	such	such	ADJ
fcis-14562	25	16	as	as	ADP
fcis-14562	25	17	speed	speed	NOUN
fcis-14562	25	18	,	,	PUNCT
fcis-14562	25	19	accuracy	accuracy	NOUN
fcis-14562	25	20	,	,	PUNCT
fcis-14562	25	21	and	and	CCONJ
fcis-14562	25	22	low	low	ADJ
fcis-14562	25	23	cost	cost	NOUN
fcis-14562	25	24	[	[	X
fcis-14562	25	25	1	1	NUM
fcis-14562	25	26	-	-	SYM
fcis-14562	25	27	3	3	NUM
fcis-14562	25	28	]	]	PUNCT
fcis-14562	25	29	.	.	PUNCT
fcis-14562	26	1	machine	machine	NOUN
fcis-14562	26	2	learning	learning	NOUN
fcis-14562	26	3	,	,	PUNCT
fcis-14562	26	4	born	bear	VERB
fcis-14562	26	5	in	in	ADP
fcis-14562	26	6	the	the	DET
fcis-14562	26	7	1950s	1950s	NUM
fcis-14562	26	8	,	,	PUNCT
fcis-14562	26	9	has	have	AUX
fcis-14562	26	10	been	be	AUX
fcis-14562	26	11	widely	widely	ADV
fcis-14562	26	12	applied	apply	VERB
fcis-14562	26	13	in	in	ADP
fcis-14562	26	14	fields	field	NOUN
fcis-14562	26	15	like	like	ADP
fcis-14562	26	16	computer	computer	NOUN
fcis-14562	26	17	vision	vision	NOUN
fcis-14562	26	18	,	,	PUNCT
fcis-14562	26	19	data	data	NOUN
fcis-14562	26	20	mining	mining	NOUN
fcis-14562	26	21	,	,	PUNCT
fcis-14562	26	22	and	and	CCONJ
fcis-14562	26	23	bioinformatics	bioinformatics	NOUN
fcis-14562	26	24	.	.	PUNCT
fcis-14562	27	1	as	as	ADP
fcis-14562	27	2	a	a	DET
fcis-14562	27	3	branch	branch	NOUN
fcis-14562	27	4	of	of	ADP
fcis-14562	27	5	artificial	artificial	ADJ
fcis-14562	27	6	intelligence	intelligence	NOUN
fcis-14562	27	7	,	,	PUNCT
fcis-14562	27	8	machine	machine	NOUN
fcis-14562	27	9	learning	learning	NOUN
fcis-14562	27	10	utilizes	utilize	VERB
fcis-14562	27	11	large	large	ADJ
fcis-14562	27	12	amounts	amount	NOUN
fcis-14562	27	13	of	of	ADP
fcis-14562	27	14	data	datum	NOUN
fcis-14562	27	15	to	to	PART
fcis-14562	27	16	continuously	continuously	ADV
fcis-14562	27	17	optimize	optimize	VERB
fcis-14562	27	18	models	model	NOUN
fcis-14562	27	19	,	,	PUNCT
fcis-14562	27	20	making	make	VERB
fcis-14562	27	21	reasonable	reasonable	ADJ
fcis-14562	27	22	predictions	prediction	NOUN
fcis-14562	27	23	under	under	ADP
fcis-14562	27	24	the	the	DET
fcis-14562	27	25	guidance	guidance	NOUN
fcis-14562	27	26	of	of	ADP
fcis-14562	27	27	algorithms	algorithm	NOUN
fcis-14562	27	28	[	[	X
fcis-14562	27	29	4	4	NUM
fcis-14562	27	30	]	]	PUNCT
fcis-14562	27	31	.	.	PUNCT
fcis-14562	28	1	machine	machine	NOUN
fcis-14562	28	2	learning	learning	NOUN
fcis-14562	28	3	can	can	AUX
fcis-14562	28	4	rapidly	rapidly	ADV
fcis-14562	28	5	process	process	VERB
fcis-14562	28	6	large	large	ADJ
fcis-14562	28	7	amounts	amount	NOUN
fcis-14562	28	8	of	of	ADP
fcis-14562	28	9	data	datum	NOUN
fcis-14562	28	10	and	and	CCONJ
fcis-14562	28	11	accurately	accurately	ADV
fcis-14562	28	12	identify	identify	VERB
fcis-14562	28	13	relationships	relationship	NOUN
fcis-14562	28	14	between	between	ADP
fcis-14562	28	15	variables	variable	NOUN
fcis-14562	28	16	[	[	X
fcis-14562	28	17	5	5	NUM
fcis-14562	28	18	]	]	PUNCT
fcis-14562	28	19	.	.	PUNCT
fcis-14562	29	1	therefore	therefore	ADV
fcis-14562	29	2	,	,	PUNCT
fcis-14562	29	3	machine	machine	NOUN
fcis-14562	29	4	learning	learning	NOUN
fcis-14562	29	5	has	have	AUX
fcis-14562	29	6	become	become	VERB
fcis-14562	29	7	a	a	DET
fcis-14562	29	8	trend	trend	NOUN
fcis-14562	29	9	in	in	ADP
fcis-14562	29	10	the	the	DET
fcis-14562	29	11	research	research	NOUN
fcis-14562	29	12	and	and	CCONJ
fcis-14562	29	13	development	development	NOUN
fcis-14562	29	14	of	of	ADP
fcis-14562	29	15	new	new	ADJ
fcis-14562	29	16	materials	material	NOUN
fcis-14562	29	17	,	,	PUNCT
fcis-14562	29	18	leading	lead	VERB
fcis-14562	29	19	to	to	ADP
fcis-14562	29	20	numerous	numerous	ADJ
fcis-14562	29	21	scientific	scientific	ADJ
fcis-14562	29	22	research	research	NOUN
fcis-14562	29	23	achievements	achievement	NOUN
fcis-14562	29	24	.	.	PUNCT
fcis-14562	30	1	mukhopadhyay	mukhopadhyay	NOUN
fcis-14562	30	2	et	et	PROPN
fcis-14562	30	3	al	al	PROPN
fcis-14562	30	4	.	.	PUNCT
fcis-14562	31	1	[	[	X
fcis-14562	31	2	6	6	NUM
fcis-14562	31	3	]	]	PUNCT
fcis-14562	31	4	developed	develop	VERB
fcis-14562	31	5	a	a	DET
fcis-14562	31	6	steel	steel	NOUN
fcis-14562	31	7	material	material	NOUN
fcis-14562	31	8	mechanical	mechanical	ADJ
fcis-14562	31	9	performance	performance	NOUN
fcis-14562	31	10	prediction	prediction	NOUN
fcis-14562	31	11	model	model	NOUN
fcis-14562	31	12	based	base	VERB
fcis-14562	31	13	on	on	ADP
fcis-14562	31	14	artificial	artificial	ADJ
fcis-14562	31	15	neural	neural	ADJ
fcis-14562	31	16	networks	network	NOUN
fcis-14562	31	17	(	(	PUNCT
fcis-14562	31	18	ann	ann	PROPN
fcis-14562	31	19	)	)	PUNCT
fcis-14562	31	20	,	,	PUNCT
fcis-14562	31	21	selecting	select	VERB
fcis-14562	31	22	a	a	DET
fcis-14562	31	23	network	network	NOUN
fcis-14562	31	24	structure	structure	NOUN
fcis-14562	31	25	with	with	ADP
fcis-14562	31	26	a	a	DET
fcis-14562	31	27	7	7	NUM
fcis-14562	31	28	-	-	SYM
fcis-14562	31	29	19	19	NUM
fcis-14562	31	30	-	-	PUNCT
fcis-14562	31	31	3	3	NUM
fcis-14562	31	32	topology	topology	NOUN
fcis-14562	31	33	.	.	PUNCT
fcis-14562	32	1	experimental	experimental	ADJ
fcis-14562	32	2	results	result	NOUN
fcis-14562	32	3	showed	show	VERB
fcis-14562	32	4	a	a	DET
fcis-14562	32	5	reliability	reliability	NOUN
fcis-14562	32	6	of	of	ADP
fcis-14562	32	7	90.91	90.91	NUM
fcis-14562	32	8	%	%	NOUN
fcis-14562	32	9	for	for	ADP
fcis-14562	32	10	ultimate	ultimate	ADJ
fcis-14562	32	11	tensile	tensile	NOUN
fcis-14562	32	12	strength	strength	NOUN
fcis-14562	32	13	(	(	PUNCT
fcis-14562	32	14	uts	uts	PROPN
fcis-14562	32	15	)	)	PUNCT
fcis-14562	32	16	and	and	CCONJ
fcis-14562	32	17	100	100	NUM
fcis-14562	32	18	%	%	NOUN
fcis-14562	32	19	for	for	ADP
fcis-14562	32	20	elongation	elongation	NOUN
fcis-14562	32	21	(	(	PUNCT
fcis-14562	32	22	el	el	NOUN
fcis-14562	32	23	)	)	PUNCT
fcis-14562	32	24	,	,	PUNCT
fcis-14562	32	25	and	and	CCONJ
fcis-14562	32	26	the	the	DET
fcis-14562	32	27	model	model	NOUN
fcis-14562	32	28	has	have	AUX
fcis-14562	32	29	been	be	AUX
fcis-14562	32	30	applied	apply	VERB
fcis-14562	32	31	to	to	ADP
fcis-14562	32	32	tata	tata	PROPN
fcis-14562	32	33	steel	steel	NOUN
fcis-14562	32	34	in	in	ADP
fcis-14562	32	35	india	india	PROPN
fcis-14562	32	36	.	.	PUNCT
fcis-14562	33	1	yang	yang	PROPN
fcis-14562	33	2	wei	wei	PROPN
fcis-14562	33	3	et	et	PROPN
fcis-14562	33	4	al	al	PROPN
fcis-14562	33	5	.	.	PUNCT
fcis-14562	34	1	[	[	X
fcis-14562	34	2	7	7	X
fcis-14562	34	3	]	]	PUNCT
fcis-14562	34	4	employed	employ	VERB
fcis-14562	34	5	the	the	DET
fcis-14562	34	6	random	random	ADJ
fcis-14562	34	7	forest	forest	NOUN
fcis-14562	34	8	algorithm	algorithm	NOUN
fcis-14562	34	9	,	,	PUNCT
fcis-14562	34	10	based	base	VERB
fcis-14562	34	11	on	on	ADP
fcis-14562	34	12	a	a	DET
fcis-14562	34	13	large	large	ADJ
fcis-14562	34	14	amount	amount	NOUN
fcis-14562	34	15	of	of	ADP
fcis-14562	34	16	collected	collect	VERB
fcis-14562	34	17	real	real	ADJ
fcis-14562	34	18	data	datum	NOUN
fcis-14562	34	19	from	from	ADP
fcis-14562	34	20	the	the	DET
fcis-14562	34	21	hot	hot	ADJ
fcis-14562	34	22	rolling	rolling	NOUN
fcis-14562	34	23	production	production	NOUN
fcis-14562	34	24	process	process	NOUN
fcis-14562	34	25	,	,	PUNCT
fcis-14562	34	26	obtaining	obtain	VERB
fcis-14562	34	27	importance	importance	NOUN
fcis-14562	34	28	rankings	ranking	NOUN
fcis-14562	34	29	for	for	ADP
fcis-14562	34	30	various	various	ADJ
fcis-14562	34	31	influencing	influence	VERB
fcis-14562	34	32	factors	factor	NOUN
fcis-14562	34	33	on	on	ADP
fcis-14562	34	34	mechanical	mechanical	ADJ
fcis-14562	34	35	performance	performance	NOUN
fcis-14562	34	36	.	.	PUNCT
fcis-14562	35	1	they	they	PRON
fcis-14562	35	2	established	establish	VERB
fcis-14562	35	3	a	a	DET
fcis-14562	35	4	series	series	NOUN
fcis-14562	35	5	of	of	ADP
fcis-14562	35	6	mechanical	mechanical	ADJ
fcis-14562	35	7	performance	performance	NOUN
fcis-14562	35	8	prediction	prediction	NOUN
fcis-14562	35	9	models	model	NOUN
fcis-14562	35	10	based	base	VERB
fcis-14562	35	11	on	on	ADP
fcis-14562	35	12	this	this	DET
fcis-14562	35	13	ranking	ranking	NOUN
fcis-14562	35	14	,	,	PUNCT
fcis-14562	35	15	filtering	filter	VERB
fcis-14562	35	16	out	out	ADP
fcis-14562	35	17	more	more	ADV
fcis-14562	35	18	important	important	ADJ
fcis-14562	35	19	influencing	influence	VERB
fcis-14562	35	20	factors	factor	NOUN
fcis-14562	35	21	based	base	VERB
fcis-14562	35	22	on	on	ADP
fcis-14562	35	23	the	the	DET
fcis-14562	35	24	trend	trend	NOUN
fcis-14562	35	25	of	of	ADP
fcis-14562	35	26	prediction	prediction	NOUN
fcis-14562	35	27	error	error	NOUN
fcis-14562	35	28	variations	variation	NOUN
fcis-14562	35	29	,	,	PUNCT
fcis-14562	35	30	and	and	CCONJ
fcis-14562	35	31	ultimately	ultimately	ADV
fcis-14562	35	32	built	build	VERB
fcis-14562	35	33	a	a	DET
fcis-14562	35	34	model	model	NOUN
fcis-14562	35	35	with	with	ADP
fcis-14562	35	36	a	a	DET
fcis-14562	35	37	small	small	ADJ
fcis-14562	35	38	number	number	NOUN
fcis-14562	35	39	of	of	ADP
fcis-14562	35	40	most	most	ADJ
fcis-14562	35	41	crucial	crucial	ADJ
fcis-14562	35	42	influencing	influence	VERB
fcis-14562	35	43	factors	factor	NOUN
fcis-14562	35	44	as	as	ADP
fcis-14562	35	45	independent	independent	ADJ
fcis-14562	35	46	variables	variable	NOUN
fcis-14562	35	47	.	.	PUNCT
fcis-14562	36	1	wang	wang	PROPN
fcis-14562	36	2	ling	ling	PROPN
fcis-14562	36	3	et	et	PROPN
fcis-14562	36	4	al	al	PROPN
fcis-14562	36	5	.	.	PUNCT
fcis-14562	37	1	[	[	X
fcis-14562	37	2	8	8	NUM
fcis-14562	37	3	]	]	PUNCT
fcis-14562	37	4	proposed	propose	VERB
fcis-14562	37	5	a	a	DET
fcis-14562	37	6	steel	steel	NOUN
fcis-14562	37	7	material	material	NOUN
fcis-14562	37	8	mechanical	mechanical	ADJ
fcis-14562	37	9	performance	performance	NOUN
fcis-14562	37	10	prediction	prediction	NOUN
fcis-14562	37	11	method	method	NOUN
fcis-14562	37	12	based	base	VERB
fcis-14562	37	13	on	on	ADP
fcis-14562	37	14	support	support	NOUN
fcis-14562	37	15	vector	vector	NOUN
fcis-14562	37	16	regression	regression	NOUN
fcis-14562	37	17	.	.	PUNCT
fcis-14562	38	1	to	to	PART
fcis-14562	38	2	avoid	avoid	VERB
fcis-14562	38	3	the	the	DET
fcis-14562	38	4	blindness	blindness	NOUN
fcis-14562	38	5	in	in	ADP
fcis-14562	38	6	selecting	select	VERB
fcis-14562	38	7	parameters	parameter	NOUN
fcis-14562	38	8	for	for	ADP
fcis-14562	38	9	the	the	DET
fcis-14562	38	10	support	support	NOUN
fcis-14562	38	11	vector	vector	NOUN
fcis-14562	38	12	regression	regression	NOUN
fcis-14562	38	13	algorithm	algorithm	NOUN
fcis-14562	38	14	,	,	PUNCT
fcis-14562	38	15	they	they	PRON
fcis-14562	38	16	used	use	VERB
fcis-14562	38	17	a	a	DET
fcis-14562	38	18	genetic	genetic	ADJ
fcis-14562	38	19	algorithm	algorithm	NOUN
fcis-14562	38	20	to	to	PART
fcis-14562	38	21	optimize	optimize	VERB
fcis-14562	38	22	the	the	DET
fcis-14562	38	23	selection	selection	NOUN
fcis-14562	38	24	of	of	ADP
fcis-14562	38	25	parameters	parameter	NOUN
fcis-14562	38	26	for	for	ADP
fcis-14562	38	27	this	this	DET
fcis-14562	38	28	model	model	NOUN
fcis-14562	38	29	,	,	PUNCT
fcis-14562	38	30	reducing	reduce	VERB
fcis-14562	38	31	model	model	NOUN
fcis-14562	38	32	complexity	complexity	NOUN
fcis-14562	38	33	while	while	SCONJ
fcis-14562	38	34	improving	improve	VERB
fcis-14562	38	35	the	the	DET
fcis-14562	38	36	prediction	prediction	NOUN
fcis-14562	38	37	accuracy	accuracy	NOUN
fcis-14562	38	38	of	of	ADP
fcis-14562	38	39	support	support	NOUN
fcis-14562	38	40	vector	vector	NOUN
fcis-14562	38	41	regression	regression	NOUN
fcis-14562	38	42	modeling	modeling	NOUN
fcis-14562	38	43	.	.	PUNCT
fcis-14562	39	1	2	2	NUM
fcis-14562	39	2	2	2	NUM
fcis-14562	39	3	.	.	PUNCT
fcis-14562	39	4	model	model	NOUN
fcis-14562	39	5	establishment	establishment	NOUN
fcis-14562	39	6	2.1	2.1	NUM
fcis-14562	39	7	.	.	PUNCT
fcis-14562	40	1	random	random	ADJ
fcis-14562	40	2	forest	forest	NOUN
fcis-14562	40	3	algorithm	algorithm	NOUN
fcis-14562	40	4	random	random	ADJ
fcis-14562	40	5	forest	forest	NOUN
fcis-14562	41	1	[	[	X
fcis-14562	41	2	9,10	9,10	NUM
fcis-14562	41	3	]	]	PUNCT
fcis-14562	41	4	is	be	AUX
fcis-14562	41	5	built	build	VERB
fcis-14562	41	6	on	on	ADP
fcis-14562	41	7	the	the	DET
fcis-14562	41	8	foundation	foundation	NOUN
fcis-14562	41	9	of	of	ADP
fcis-14562	41	10	constructing	construct	VERB
fcis-14562	41	11	a	a	DET
fcis-14562	41	12	bagging	bagging	NOUN
fcis-14562	41	13	ensemble	ensemble	ADJ
fcis-14562	41	14	with	with	ADP
fcis-14562	41	15	decision	decision	NOUN
fcis-14562	41	16	trees	tree	NOUN
fcis-14562	41	17	as	as	ADP
fcis-14562	41	18	base	base	NOUN
fcis-14562	41	19	learners	learner	NOUN
fcis-14562	41	20	.	.	PUNCT
fcis-14562	42	1	furthermore	furthermore	ADV
fcis-14562	42	2	,	,	PUNCT
fcis-14562	42	3	it	it	PRON
fcis-14562	42	4	introduces	introduce	VERB
fcis-14562	42	5	the	the	DET
fcis-14562	42	6	selection	selection	NOUN
fcis-14562	42	7	of	of	ADP
fcis-14562	42	8	random	random	ADJ
fcis-14562	42	9	attributes	attribute	NOUN
fcis-14562	42	10	during	during	ADP
fcis-14562	42	11	the	the	DET
fcis-14562	42	12	training	training	NOUN
fcis-14562	42	13	process	process	NOUN
fcis-14562	42	14	of	of	ADP
fcis-14562	42	15	decision	decision	NOUN
fcis-14562	42	16	trees	tree	NOUN
fcis-14562	42	17	.	.	PUNCT
fcis-14562	43	1	a	a	DET
fcis-14562	43	2	forest	forest	NOUN
fcis-14562	43	3	is	be	AUX
fcis-14562	43	4	created	create	VERB
fcis-14562	43	5	by	by	ADP
fcis-14562	43	6	independently	independently	ADV
fcis-14562	43	7	establishing	establish	VERB
fcis-14562	43	8	multiple	multiple	ADJ
fcis-14562	43	9	decision	decision	NOUN
fcis-14562	43	10	trees	tree	NOUN
fcis-14562	43	11	,	,	PUNCT
fcis-14562	43	12	and	and	CCONJ
fcis-14562	43	13	when	when	SCONJ
fcis-14562	43	14	they	they	PRON
fcis-14562	43	15	are	be	AUX
fcis-14562	43	16	brought	bring	VERB
fcis-14562	43	17	together	together	ADV
fcis-14562	43	18	,	,	PUNCT
fcis-14562	43	19	it	it	PRON
fcis-14562	43	20	forms	form	VERB
fcis-14562	43	21	a	a	DET
fcis-14562	43	22	forest	forest	NOUN
fcis-14562	43	23	.	.	PUNCT
fcis-14562	44	1	these	these	DET
fcis-14562	44	2	decision	decision	NOUN
fcis-14562	44	3	trees	tree	NOUN
fcis-14562	44	4	are	be	AUX
fcis-14562	44	5	built	build	VERB
fcis-14562	44	6	to	to	PART
fcis-14562	44	7	address	address	VERB
fcis-14562	44	8	the	the	DET
fcis-14562	44	9	same	same	ADJ
fcis-14562	44	10	task	task	NOUN
fcis-14562	44	11	,	,	PUNCT
fcis-14562	44	12	sharing	share	VERB
fcis-14562	44	13	a	a	DET
fcis-14562	44	14	consistent	consistent	ADJ
fcis-14562	44	15	final	final	ADJ
fcis-14562	44	16	objective	objective	NOUN
fcis-14562	44	17	.	.	PUNCT
fcis-14562	45	1	the	the	DET
fcis-14562	45	2	ultimate	ultimate	ADJ
fcis-14562	45	3	goal	goal	NOUN
fcis-14562	45	4	is	be	AUX
fcis-14562	45	5	to	to	PART
fcis-14562	45	6	average	average	VERB
fcis-14562	45	7	their	their	PRON
fcis-14562	45	8	results	result	NOUN
fcis-14562	45	9	,	,	PUNCT
fcis-14562	45	10	as	as	SCONJ
fcis-14562	45	11	illustrated	illustrate	VERB
fcis-14562	45	12	in	in	ADP
fcis-14562	45	13	figure	figure	NOUN
fcis-14562	45	14	3	3	NUM
fcis-14562	45	15	.	.	PUNCT
fcis-14562	46	1	the	the	DET
fcis-14562	46	2	regression	regression	NOUN
fcis-14562	46	3	decision	decision	NOUN
fcis-14562	46	4	tree	tree	NOUN
fcis-14562	46	5	follows	follow	VERB
fcis-14562	46	6	the	the	DET
fcis-14562	46	7	principle	principle	NOUN
fcis-14562	46	8	of	of	ADP
fcis-14562	46	9	minimizing	minimize	VERB
fcis-14562	46	10	the	the	DET
fcis-14562	46	11	mean	mean	ADJ
fcis-14562	46	12	squared	square	VERB
fcis-14562	46	13	error	error	NOUN
fcis-14562	46	14	.	.	PUNCT
fcis-14562	47	1	in	in	ADP
fcis-14562	47	2	other	other	ADJ
fcis-14562	47	3	words	word	NOUN
fcis-14562	47	4	,	,	PUNCT
fcis-14562	47	5	for	for	ADP
fcis-14562	47	6	any	any	DET
fcis-14562	47	7	feature	feature	NOUN
fcis-14562	47	8	a	a	DET
fcis-14562	47	9	and	and	CCONJ
fcis-14562	47	10	determining	determine	VERB
fcis-14562	47	11	split	split	ADJ
fcis-14562	47	12	point	point	NOUN
fcis-14562	47	13	s	s	PART
fcis-14562	47	14	,	,	PUNCT
fcis-14562	47	15	it	it	PRON
fcis-14562	47	16	aims	aim	VERB
fcis-14562	47	17	to	to	PART
fcis-14562	47	18	minimize	minimize	VERB
fcis-14562	47	19	the	the	DET
fcis-14562	47	20	mean	mean	ADJ
fcis-14562	47	21	squared	square	VERB
fcis-14562	47	22	errors	error	NOUN
fcis-14562	47	23	for	for	ADP
fcis-14562	47	24	the	the	DET
fcis-14562	47	25	resulting	result	VERB
fcis-14562	47	26	datasets	dataset	NOUN
fcis-14562	47	27	d1	d1	PROPN
fcis-14562	47	28	and	and	CCONJ
fcis-14562	47	29	d2	d2	PROPN
fcis-14562	47	30	individually	individually	ADV
fcis-14562	47	31	,	,	PUNCT
fcis-14562	47	32	while	while	SCONJ
fcis-14562	47	33	also	also	ADV
fcis-14562	47	34	minimizing	minimize	VERB
fcis-14562	47	35	the	the	DET
fcis-14562	47	36	sum	sum	NOUN
fcis-14562	47	37	of	of	ADP
fcis-14562	47	38	the	the	DET
fcis-14562	47	39	mean	mean	ADJ
fcis-14562	47	40	squared	square	VERB
fcis-14562	47	41	errors	error	NOUN
fcis-14562	47	42	for	for	ADP
fcis-14562	47	43	d1	d1	PROPN
fcis-14562	47	44	and	and	CCONJ
fcis-14562	47	45	d2	d2	PROPN
fcis-14562	47	46	.	.	PUNCT
fcis-14562	48	1	the	the	DET
fcis-14562	48	2	corresponding	corresponding	ADJ
fcis-14562	48	3	feature	feature	NOUN
fcis-14562	48	4	is	be	AUX
fcis-14562	48	5	identified	identify	VERB
fcis-14562	48	6	based	base	VERB
fcis-14562	48	7	on	on	ADP
fcis-14562	48	8	this	this	DET
fcis-14562	48	9	criterion	criterion	NOUN
fcis-14562	48	10	.	.	PUNCT
fcis-14562	49	1	the	the	DET
fcis-14562	49	2	expression	expression	NOUN
fcis-14562	49	3	is	be	AUX
fcis-14562	49	4	given	give	VERB
fcis-14562	49	5	by	by	ADP
fcis-14562	49	6	:	:	PUNCT
fcis-14562	49	7	,	,	PUNCT
fcis-14562	49	8	∑	∑	PUNCT
fcis-14562	49	9	∈	∈	PROPN
fcis-14562	49	10	,	,	PUNCT
fcis-14562	49	11	∑	∑	PUNCT
fcis-14562	49	12	∈	∈	PROPN
fcis-14562	49	13	,	,	PUNCT
fcis-14562	49	14	(	(	PUNCT
fcis-14562	49	15	1	1	X
fcis-14562	49	16	)	)	PUNCT
fcis-14562	49	17	where	where	SCONJ
fcis-14562	49	18	:	:	PUNCT
fcis-14562	49	19	represents	represent	VERB
fcis-14562	49	20	the	the	DET
fcis-14562	49	21	sample	sample	NOUN
fcis-14562	49	22	output	output	NOUN
fcis-14562	49	23	mean	mean	NOUN
fcis-14562	49	24	of	of	ADP
fcis-14562	49	25	dataset	dataset	NOUN
fcis-14562	49	26	,	,	PUNCT
fcis-14562	49	27	represents	represent	VERB
fcis-14562	49	28	the	the	DET
fcis-14562	49	29	sample	sample	NOUN
fcis-14562	49	30	output	output	NOUN
fcis-14562	49	31	mean	mean	NOUN
fcis-14562	49	32	of	of	ADP
fcis-14562	49	33	dataset	dataset	NOUN
fcis-14562	49	34	,	,	PUNCT
fcis-14562	49	35	represents	represent	VERB
fcis-14562	49	36	the	the	DET
fcis-14562	49	37	observed	observed	ADJ
fcis-14562	49	38	value	value	NOUN
fcis-14562	49	39	of	of	ADP
fcis-14562	49	40	the	the	DET
fcis-14562	49	41	sample	sample	NOUN
fcis-14562	49	42	data	datum	NOUN
fcis-14562	49	43	.	.	PUNCT
fcis-14562	50	1	random	random	ADJ
fcis-14562	50	2	forest	forest	NOUN
fcis-14562	50	3	is	be	AUX
fcis-14562	50	4	comprised	comprise	VERB
fcis-14562	50	5	of	of	ADP
fcis-14562	50	6	a	a	DET
fcis-14562	50	7	group	group	NOUN
fcis-14562	50	8	of	of	ADP
fcis-14562	50	9	tree	tree	NOUN
fcis-14562	50	10	-	-	PUNCT
fcis-14562	50	11	like	like	ADJ
fcis-14562	50	12	decision	decision	NOUN
fcis-14562	50	13	trees	tree	NOUN
fcis-14562	50	14	,	,	PUNCT
fcis-14562	50	15	and	and	CCONJ
fcis-14562	50	16	each	each	DET
fcis-14562	50	17	decision	decision	NOUN
fcis-14562	50	18	tree	tree	NOUN
fcis-14562	50	19	is	be	AUX
fcis-14562	50	20	considered	consider	VERB
fcis-14562	50	21	equal	equal	ADJ
fcis-14562	50	22	during	during	ADP
fcis-14562	50	23	the	the	DET
fcis-14562	50	24	model	model	NOUN
fcis-14562	50	25	training	training	NOUN
fcis-14562	50	26	process	process	NOUN
fcis-14562	50	27	.	.	PUNCT
fcis-14562	51	1	the	the	DET
fcis-14562	51	2	prediction	prediction	NOUN
fcis-14562	51	3	result	result	NOUN
fcis-14562	51	4	of	of	ADP
fcis-14562	51	5	a	a	DET
fcis-14562	51	6	cart	cart	NOUN
fcis-14562	51	7	tree	tree	NOUN
fcis-14562	51	8	is	be	AUX
fcis-14562	51	9	the	the	DET
fcis-14562	51	10	mean	mean	NOUN
fcis-14562	51	11	of	of	ADP
fcis-14562	51	12	the	the	DET
fcis-14562	51	13	leaf	leaf	NOUN
fcis-14562	51	14	nodes	node	NOUN
fcis-14562	51	15	.	.	PUNCT
fcis-14562	52	1	therefore	therefore	ADV
fcis-14562	52	2	,	,	PUNCT
fcis-14562	52	3	the	the	DET
fcis-14562	52	4	prediction	prediction	NOUN
fcis-14562	52	5	result	result	NOUN
fcis-14562	52	6	of	of	ADP
fcis-14562	52	7	a	a	DET
fcis-14562	52	8	random	random	ADJ
fcis-14562	52	9	forest	forest	NOUN
fcis-14562	52	10	is	be	AUX
fcis-14562	52	11	the	the	DET
fcis-14562	52	12	average	average	NOUN
fcis-14562	52	13	of	of	ADP
fcis-14562	52	14	the	the	DET
fcis-14562	52	15	predicted	predict	VERB
fcis-14562	52	16	values	value	NOUN
fcis-14562	52	17	from	from	ADP
fcis-14562	52	18	all	all	DET
fcis-14562	52	19	trees	tree	NOUN
fcis-14562	52	20	.	.	PUNCT
fcis-14562	53	1	figure	figure	NOUN
fcis-14562	53	2	1	1	NUM
fcis-14562	53	3	.	.	PUNCT
fcis-14562	54	1	diagram	diagram	NOUN
fcis-14562	54	2	of	of	ADP
fcis-14562	54	3	the	the	DET
fcis-14562	54	4	random	random	ADJ
fcis-14562	54	5	forest	forest	NOUN
fcis-14562	54	6	principle	principle	NOUN
fcis-14562	54	7	2.2	2.2	NUM
fcis-14562	54	8	.	.	PUNCT
fcis-14562	55	1	evaluation	evaluation	NOUN
fcis-14562	55	2	metrics	metric	NOUN
fcis-14562	55	3	format	format	NOUN
fcis-14562	55	4	based	base	VERB
fcis-14562	55	5	on	on	ADP
fcis-14562	55	6	the	the	DET
fcis-14562	55	7	collected	collect	VERB
fcis-14562	55	8	data	datum	NOUN
fcis-14562	55	9	,	,	PUNCT
fcis-14562	55	10	the	the	DET
fcis-14562	55	11	dataset	dataset	NOUN
fcis-14562	55	12	is	be	AUX
fcis-14562	55	13	subjected	subject	VERB
fcis-14562	55	14	to	to	ADP
fcis-14562	55	15	standardization	standardization	NOUN
fcis-14562	55	16	,	,	PUNCT
fcis-14562	55	17	and	and	CCONJ
fcis-14562	55	18	subsequently	subsequently	ADV
fcis-14562	55	19	,	,	PUNCT
fcis-14562	55	20	data	datum	NOUN
fcis-14562	55	21	is	be	AUX
fcis-14562	55	22	partitioned	partition	VERB
fcis-14562	55	23	.	.	PUNCT
fcis-14562	56	1	eighty	eighty	NUM
fcis-14562	56	2	percent	percent	NOUN
fcis-14562	56	3	of	of	ADP
fcis-14562	56	4	the	the	DET
fcis-14562	56	5	data	datum	NOUN
fcis-14562	56	6	is	be	AUX
fcis-14562	56	7	selected	select	VERB
fcis-14562	56	8	as	as	ADP
fcis-14562	56	9	the	the	DET
fcis-14562	56	10	training	training	NOUN
fcis-14562	56	11	set	set	NOUN
fcis-14562	56	12	,	,	PUNCT
fcis-14562	56	13	while	while	SCONJ
fcis-14562	56	14	the	the	DET
fcis-14562	56	15	remaining	remain	VERB
fcis-14562	56	16	20	20	NUM
fcis-14562	56	17	%	%	NOUN
fcis-14562	56	18	constitutes	constitute	VERB
fcis-14562	56	19	the	the	DET
fcis-14562	56	20	test	test	NOUN
fcis-14562	56	21	set	set	VERB
fcis-14562	56	22	.	.	PUNCT
fcis-14562	57	1	commonly	commonly	ADV
fcis-14562	57	2	used	use	VERB
fcis-14562	57	3	methods	method	NOUN
fcis-14562	57	4	for	for	ADP
fcis-14562	57	5	evaluating	evaluate	VERB
fcis-14562	57	6	the	the	DET
fcis-14562	57	7	quality	quality	NOUN
fcis-14562	57	8	of	of	ADP
fcis-14562	57	9	machine	machine	NOUN
fcis-14562	57	10	learning	learning	NOUN
fcis-14562	57	11	models	model	NOUN
fcis-14562	57	12	include	include	VERB
fcis-14562	57	13	root	root	NOUN
fcis-14562	57	14	mean	mean	VERB
fcis-14562	57	15	squared	square	VERB
fcis-14562	57	16	error	error	NOUN
fcis-14562	57	17	(	(	PUNCT
fcis-14562	57	18	rmse	rmse	NOUN
fcis-14562	57	19	)	)	PUNCT
fcis-14562	57	20	,	,	PUNCT
fcis-14562	57	21	mean	mean	VERB
fcis-14562	57	22	absolute	absolute	ADJ
fcis-14562	57	23	percentage	percentage	NOUN
fcis-14562	57	24	error	error	NOUN
fcis-14562	57	25	(	(	PUNCT
fcis-14562	57	26	mape	mape	NOUN
fcis-14562	57	27	)	)	PUNCT
fcis-14562	57	28	,	,	PUNCT
fcis-14562	57	29	and	and	CCONJ
fcis-14562	57	30	the	the	DET
fcis-14562	57	31	determination	determination	NOUN
fcis-14562	57	32	coefficient	coefficient	VERB
fcis-14562	57	33	r	r	NOUN
fcis-14562	57	34	-	-	PUNCT
fcis-14562	57	35	square	square	ADJ
fcis-14562	57	36	(	(	PUNCT
fcis-14562	57	37	r2	r2	PROPN
fcis-14562	57	38	)	)	PUNCT
fcis-14562	57	39	,	,	PUNCT
fcis-14562	57	40	expressed	express	VERB
fcis-14562	57	41	in	in	ADP
fcis-14562	57	42	equations	equation	NOUN
fcis-14562	57	43	2	2	NUM
fcis-14562	57	44	,	,	PUNCT
fcis-14562	57	45	3	3	NUM
fcis-14562	57	46	,	,	PUNCT
fcis-14562	57	47	and	and	CCONJ
fcis-14562	57	48	4	4	NUM
fcis-14562	57	49	,	,	PUNCT
fcis-14562	57	50	respectively	respectively	ADV
fcis-14562	57	51	.	.	PUNCT
fcis-14562	58	1	here	here	ADV
fcis-14562	58	2	,	,	PUNCT
fcis-14562	58	3	'	'	PUNCT
fcis-14562	58	4	n	n	CCONJ
fcis-14562	58	5	'	'	PUNCT
fcis-14562	58	6	represents	represent	VERB
fcis-14562	58	7	the	the	DET
fcis-14562	58	8	total	total	ADJ
fcis-14562	58	9	number	number	NOUN
fcis-14562	58	10	of	of	ADP
fcis-14562	58	11	samples	sample	NOUN
fcis-14562	58	12	,	,	PUNCT
fcis-14562	58	13	'	'	PUNCT
fcis-14562	58	14	'	'	PUNCT
fcis-14562	58	15	denotes	denote	VERB
fcis-14562	58	16	the	the	DET
fcis-14562	58	17	true	true	ADJ
fcis-14562	58	18	values	value	NOUN
fcis-14562	58	19	,	,	PUNCT
fcis-14562	58	20	and	and	CCONJ
fcis-14562	58	21	'	'	PUNCT
fcis-14562	58	22	y	y	X
fcis-14562	58	23	'	'	PUNCT
fcis-14562	58	24	represents	represent	VERB
fcis-14562	58	25	the	the	DET
fcis-14562	58	26	machine	machine	NOUN
fcis-14562	58	27	learning	learning	NOUN
fcis-14562	58	28	predicted	predict	VERB
fcis-14562	58	29	values	value	NOUN
fcis-14562	58	30	.	.	PUNCT
fcis-14562	59	1	/	/	PUNCT
fcis-14562	59	2	(	(	PUNCT
fcis-14562	59	3	2	2	NUM
fcis-14562	59	4	)	)	PUNCT
fcis-14562	59	5	%	%	NOUN
fcis-14562	60	1	|	|	INTJ
fcis-14562	60	2	|	|	INTJ
fcis-14562	61	1	|	|	ADV
fcis-14562	61	2	|	|	INTJ
fcis-14562	61	3	(	(	PUNCT
fcis-14562	61	4	3	3	NUM
fcis-14562	61	5	)	)	SYM
fcis-14562	61	6	2	2	NUM
fcis-14562	61	7	1	1	NUM
fcis-14562	61	8	∑	∑	NUM
fcis-14562	61	9	∑	∑	PROPN
fcis-14562	61	10	(	(	PUNCT
fcis-14562	61	11	4	4	X
fcis-14562	61	12	)	)	PUNCT
fcis-14562	61	13	the	the	DET
fcis-14562	61	14	mape	mape	NOUN
fcis-14562	61	15	and	and	CCONJ
fcis-14562	61	16	rmse	rmse	ADJ
fcis-14562	61	17	values	value	NOUN
fcis-14562	61	18	indicate	indicate	VERB
fcis-14562	61	19	the	the	DET
fcis-14562	61	20	errors	error	NOUN
fcis-14562	61	21	between	between	ADP
fcis-14562	61	22	predicted	predict	VERB
fcis-14562	61	23	and	and	CCONJ
fcis-14562	61	24	true	true	ADJ
fcis-14562	61	25	values	value	NOUN
fcis-14562	61	26	,	,	PUNCT
fcis-14562	61	27	with	with	ADP
fcis-14562	61	28	smaller	small	ADJ
fcis-14562	61	29	errors	error	NOUN
fcis-14562	61	30	suggesting	suggest	VERB
fcis-14562	61	31	closer	close	ADJ
fcis-14562	61	32	proximity	proximity	NOUN
fcis-14562	61	33	between	between	ADP
fcis-14562	61	34	predicted	predict	VERB
fcis-14562	61	35	and	and	CCONJ
fcis-14562	61	36	true	true	ADJ
fcis-14562	61	37	values	value	NOUN
fcis-14562	61	38	.	.	PUNCT
fcis-14562	62	1	the	the	DET
fcis-14562	62	2	r2	r2	PROPN
fcis-14562	62	3	value	value	NOUN
fcis-14562	62	4	represents	represent	VERB
fcis-14562	62	5	the	the	DET
fcis-14562	62	6	degree	degree	NOUN
fcis-14562	62	7	of	of	ADP
fcis-14562	62	8	closeness	closeness	NOUN
fcis-14562	62	9	between	between	ADP
fcis-14562	62	10	the	the	DET
fcis-14562	62	11	model	model	NOUN
fcis-14562	62	12	's	's	PART
fcis-14562	62	13	predicted	predict	VERB
fcis-14562	62	14	values	value	NOUN
fcis-14562	62	15	and	and	CCONJ
fcis-14562	62	16	the	the	DET
fcis-14562	62	17	true	true	ADJ
fcis-14562	62	18	values	value	NOUN
fcis-14562	62	19	.	.	PUNCT
fcis-14562	63	1	therefore	therefore	ADV
fcis-14562	63	2	,	,	PUNCT
fcis-14562	63	3	a	a	DET
fcis-14562	63	4	higher	high	ADJ
fcis-14562	63	5	r2	r2	NOUN
fcis-14562	63	6	value	value	NOUN
fcis-14562	63	7	signifies	signify	VERB
fcis-14562	63	8	more	more	ADV
fcis-14562	63	9	accurate	accurate	ADJ
fcis-14562	63	10	predictions	prediction	NOUN
fcis-14562	63	11	.	.	PUNCT
fcis-14562	64	1	in	in	ADP
fcis-14562	64	2	table	table	NOUN
fcis-14562	64	3	1	1	NUM
fcis-14562	64	4	,	,	PUNCT
fcis-14562	64	5	it	it	PRON
fcis-14562	64	6	can	can	AUX
fcis-14562	64	7	be	be	AUX
fcis-14562	64	8	observed	observe	VERB
fcis-14562	64	9	that	that	SCONJ
fcis-14562	64	10	the	the	DET
fcis-14562	64	11	random	random	ADJ
fcis-14562	64	12	forest	forest	NOUN
fcis-14562	64	13	(	(	PUNCT
fcis-14562	64	14	rf	rf	NOUN
fcis-14562	64	15	)	)	PUNCT
fcis-14562	64	16	algorithm	algorithm	NOUN
fcis-14562	64	17	exhibits	exhibit	VERB
fcis-14562	64	18	favorable	favorable	ADJ
fcis-14562	64	19	predictive	predictive	ADJ
fcis-14562	64	20	performance	performance	NOUN
fcis-14562	64	21	for	for	ADP
fcis-14562	64	22	yield	yield	NOUN
fcis-14562	64	23	strength	strength	NOUN
fcis-14562	64	24	,	,	PUNCT
fcis-14562	64	25	tensile	tensile	NOUN
fcis-14562	64	26	strength	strength	NOUN
fcis-14562	64	27	,	,	PUNCT
fcis-14562	64	28	and	and	CCONJ
fcis-14562	64	29	elongation	elongation	NOUN
fcis-14562	64	30	.	.	PUNCT
fcis-14562	65	1	the	the	DET
fcis-14562	65	2	r2	r2	PROPN
fcis-14562	65	3	performance	performance	NOUN
fcis-14562	65	4	is	be	AUX
fcis-14562	65	5	particularly	particularly	ADV
fcis-14562	65	6	noteworthy	noteworthy	ADJ
fcis-14562	65	7	for	for	ADP
fcis-14562	65	8	yield	yield	NOUN
fcis-14562	65	9	strength	strength	NOUN
fcis-14562	65	10	,	,	PUNCT
fcis-14562	65	11	reaching	reach	VERB
fcis-14562	65	12	an	an	DET
fcis-14562	65	13	impressive	impressive	ADJ
fcis-14562	65	14	0.95	0.95	NUM
fcis-14562	65	15	,	,	PUNCT
fcis-14562	65	16	followed	follow	VERB
fcis-14562	65	17	by	by	ADP
fcis-14562	65	18	0.90	0.90	NUM
fcis-14562	65	19	for	for	ADP
fcis-14562	65	20	elongation	elongation	NOUN
fcis-14562	65	21	,	,	PUNCT
fcis-14562	65	22	and	and	CCONJ
fcis-14562	65	23	the	the	DET
fcis-14562	65	24	least	least	ADV
fcis-14562	65	25	favorable	favorable	ADJ
fcis-14562	65	26	result	result	NOUN
fcis-14562	65	27	is	be	AUX
fcis-14562	65	28	for	for	ADP
fcis-14562	65	29	tensile	tensile	NOUN
fcis-14562	65	30	strength	strength	NOUN
fcis-14562	65	31	at	at	ADP
fcis-14562	65	32	0.87	0.87	NUM
fcis-14562	65	33	.	.	PUNCT
fcis-14562	66	1	the	the	DET
fcis-14562	66	2	rmse	rmse	NOUN
fcis-14562	66	3	shows	show	VERB
fcis-14562	66	4	relatively	relatively	ADV
fcis-14562	66	5	larger	large	ADJ
fcis-14562	66	6	errors	error	NOUN
fcis-14562	66	7	for	for	ADP
fcis-14562	66	8	yield	yield	NOUN
fcis-14562	66	9	strength	strength	NOUN
fcis-14562	66	10	and	and	CCONJ
fcis-14562	66	11	tensile	tensile	NOUN
fcis-14562	66	12	strength	strength	NOUN
fcis-14562	66	13	,	,	PUNCT
fcis-14562	66	14	attributed	attribute	VERB
fcis-14562	66	15	to	to	ADP
fcis-14562	66	16	the	the	DET
fcis-14562	66	17	limited	limited	ADJ
fcis-14562	66	18	dataset	dataset	NOUN
fcis-14562	66	19	size	size	NOUN
fcis-14562	66	20	.	.	PUNCT
fcis-14562	67	1	future	future	ADJ
fcis-14562	67	2	efforts	effort	NOUN
fcis-14562	67	3	should	should	AUX
fcis-14562	67	4	focus	focus	VERB
fcis-14562	67	5	on	on	ADP
fcis-14562	67	6	increasing	increase	VERB
fcis-14562	67	7	the	the	DET
fcis-14562	67	8	data	data	NOUN
fcis-14562	67	9	volume	volume	NOUN
fcis-14562	67	10	for	for	ADP
fcis-14562	67	11	yield	yield	NOUN
fcis-14562	67	12	strength	strength	NOUN
fcis-14562	67	13	and	and	CCONJ
fcis-14562	67	14	tensile	tensile	NOUN
fcis-14562	67	15	strength	strength	NOUN
fcis-14562	67	16	in	in	ADP
fcis-14562	67	17	steel	steel	NOUN
fcis-14562	67	18	materials	material	NOUN
fcis-14562	67	19	.	.	PUNCT
fcis-14562	68	1	the	the	DET
fcis-14562	68	2	mape	mape	NOUN
fcis-14562	68	3	demonstrates	demonstrate	VERB
fcis-14562	68	4	excellent	excellent	ADJ
fcis-14562	68	5	predictive	predictive	ADJ
fcis-14562	68	6	performance	performance	NOUN
fcis-14562	68	7	for	for	ADP
fcis-14562	68	8	all	all	DET
fcis-14562	68	9	three	three	NUM
fcis-14562	68	10	mechanical	mechanical	ADJ
fcis-14562	68	11	properties	property	NOUN
fcis-14562	68	12	,	,	PUNCT
fcis-14562	68	13	with	with	ADP
fcis-14562	68	14	yield	yield	NOUN
fcis-14562	68	15	strength	strength	NOUN
fcis-14562	68	16	having	have	VERB
fcis-14562	68	17	the	the	DET
fcis-14562	68	18	most	most	ADV
fcis-14562	68	19	outstanding	outstanding	ADJ
fcis-14562	68	20	absolute	absolute	ADJ
fcis-14562	68	21	percentage	percentage	NOUN
fcis-14562	68	22	error	error	NOUN
fcis-14562	68	23	at	at	ADP
fcis-14562	68	24	4	4	NUM
fcis-14562	68	25	%	%	NOUN
fcis-14562	68	26	,	,	PUNCT
fcis-14562	68	27	followed	follow	VERB
fcis-14562	68	28	by	by	ADP
fcis-14562	68	29	4.2	4.2	NUM
fcis-14562	68	30	%	%	NOUN
fcis-14562	68	31	for	for	ADP
fcis-14562	68	32	elongation	elongation	NOUN
fcis-14562	68	33	,	,	PUNCT
fcis-14562	68	34	and	and	CCONJ
fcis-14562	68	35	the	the	DET
fcis-14562	68	36	least	least	ADV
fcis-14562	68	37	favorable	favorable	ADJ
fcis-14562	68	38	being	be	AUX
fcis-14562	68	39	8	8	NUM
fcis-14562	68	40	%	%	NOUN
fcis-14562	68	41	for	for	ADP
fcis-14562	68	42	tensile	tensile	NOUN
fcis-14562	68	43	strength	strength	NOUN
fcis-14562	68	44	.	.	PUNCT
fcis-14562	69	1	table	table	NOUN
fcis-14562	69	2	1	1	NUM
fcis-14562	69	3	.	.	PUNCT
fcis-14562	69	4	evaluation	evaluation	NOUN
fcis-14562	69	5	criteria	criterion	NOUN
fcis-14562	69	6	r2	r2	PROPN
fcis-14562	69	7	rmse	rmse	PROPN
fcis-14562	69	8	mape	mape	NOUN
fcis-14562	69	9	yield	yield	NOUN
fcis-14562	69	10	strength	strength	NOUN
fcis-14562	69	11	0.95	0.95	NUM
fcis-14562	69	12	70.34mpa	70.34mpa	NUM
fcis-14562	69	13	4	4	NUM
fcis-14562	69	14	%	%	NOUN
fcis-14562	69	15	tensile	tensile	NOUN
fcis-14562	69	16	strength	strength	NOUN
fcis-14562	69	17	0.87	0.87	NUM
fcis-14562	69	18	86.55	86.55	NUM
fcis-14562	69	19	mpa	mpa	NOUN
fcis-14562	69	20	8	8	NUM
fcis-14562	69	21	%	%	NOUN
fcis-14562	69	22	elongation	elongation	NOUN
fcis-14562	69	23	0.90	0.90	NUM
fcis-14562	69	24	0.96	0.96	NUM
fcis-14562	69	25	%	%	NOUN
fcis-14562	69	26	4.2	4.2	NUM
fcis-14562	69	27	%	%	NOUN
fcis-14562	69	28	figure	figure	NOUN
fcis-14562	69	29	2	2	NUM
fcis-14562	69	30	.	.	NOUN
fcis-14562	69	31	comparison	comparison	NOUN
fcis-14562	69	32	between	between	ADP
fcis-14562	69	33	the	the	DET
fcis-14562	69	34	fitting	fitting	ADJ
fcis-14562	69	35	results	result	NOUN
fcis-14562	69	36	of	of	ADP
fcis-14562	69	37	the	the	DET
fcis-14562	69	38	random	random	ADJ
fcis-14562	69	39	forest	forest	NOUN
fcis-14562	69	40	(	(	PUNCT
fcis-14562	69	41	rf	rf	NOUN
fcis-14562	69	42	)	)	PUNCT
fcis-14562	69	43	algorithm	algorithm	NOUN
fcis-14562	69	44	for	for	ADP
fcis-14562	69	45	three	three	NUM
fcis-14562	69	46	mechanical	mechanical	ADJ
fcis-14562	69	47	properties	property	NOUN
fcis-14562	69	48	using	use	VERB
fcis-14562	69	49	the	the	DET
fcis-14562	69	50	training	training	NOUN
fcis-14562	69	51	set	set	NOUN
fcis-14562	69	52	and	and	CCONJ
fcis-14562	69	53	test	test	NOUN
fcis-14562	69	54	set	set	VERB
fcis-14562	69	55	:	:	PUNCT
fcis-14562	69	56	(	(	PUNCT
fcis-14562	69	57	a	a	X
fcis-14562	69	58	)	)	PUNCT
fcis-14562	69	59	yield	yield	NOUN
fcis-14562	69	60	strength	strength	NOUN
fcis-14562	69	61	;	;	PUNCT
fcis-14562	69	62	(	(	PUNCT
fcis-14562	69	63	b	b	X
fcis-14562	69	64	)	)	PUNCT
fcis-14562	69	65	tensile	tensile	NOUN
fcis-14562	69	66	strength	strength	NOUN
fcis-14562	69	67	;	;	PUNCT
fcis-14562	69	68	(	(	PUNCT
fcis-14562	69	69	c	c	X
fcis-14562	69	70	)	)	PUNCT
fcis-14562	69	71	elongation	elongation	NOUN
fcis-14562	69	72	.	.	PUNCT
fcis-14562	70	1	figure	figure	NOUN
fcis-14562	70	2	2	2	NUM
fcis-14562	70	3	illustrates	illustrate	VERB
fcis-14562	70	4	the	the	DET
fcis-14562	70	5	fitting	fitting	ADJ
fcis-14562	70	6	results	result	NOUN
fcis-14562	70	7	of	of	ADP
fcis-14562	70	8	the	the	DET
fcis-14562	70	9	random	random	ADJ
fcis-14562	70	10	forest	forest	NOUN
fcis-14562	70	11	(	(	PUNCT
fcis-14562	70	12	rf	rf	NOUN
fcis-14562	70	13	)	)	PUNCT
fcis-14562	70	14	algorithm	algorithm	NOUN
fcis-14562	70	15	for	for	ADP
fcis-14562	70	16	the	the	DET
fcis-14562	70	17	three	three	NUM
fcis-14562	70	18	mechanical	mechanical	ADJ
fcis-14562	70	19	properties	property	NOUN
fcis-14562	70	20	,	,	PUNCT
fcis-14562	70	21	comparing	compare	VERB
fcis-14562	70	22	the	the	DET
fcis-14562	70	23	predictions	prediction	NOUN
fcis-14562	70	24	from	from	ADP
fcis-14562	70	25	the	the	DET
fcis-14562	70	26	training	training	NOUN
fcis-14562	70	27	set	set	NOUN
fcis-14562	70	28	and	and	CCONJ
fcis-14562	70	29	the	the	DET
fcis-14562	70	30	test	test	NOUN
fcis-14562	70	31	(	(	PUNCT
fcis-14562	70	32	a	a	NOUN
fcis-14562	70	33	)	)	PUNCT
fcis-14562	70	34	(	(	PUNCT
fcis-14562	70	35	b	b	X
fcis-14562	70	36	)	)	PUNCT
fcis-14562	70	37	(	(	PUNCT
fcis-14562	70	38	c	c	X
fcis-14562	70	39	)	)	PUNCT
fcis-14562	70	40	3	3	NUM
fcis-14562	70	41	set	set	VERB
fcis-14562	70	42	with	with	ADP
fcis-14562	70	43	the	the	DET
fcis-14562	70	44	actual	actual	ADJ
fcis-14562	70	45	values	value	NOUN
fcis-14562	70	46	.	.	PUNCT
fcis-14562	71	1	for	for	ADP
fcis-14562	71	2	yield	yield	NOUN
fcis-14562	71	3	strength	strength	NOUN
fcis-14562	71	4	,	,	PUNCT
fcis-14562	71	5	the	the	DET
fcis-14562	71	6	prediction	prediction	NOUN
fcis-14562	71	7	accuracy	accuracy	NOUN
fcis-14562	71	8	is	be	AUX
fcis-14562	71	9	higher	high	ADJ
fcis-14562	71	10	in	in	ADP
fcis-14562	71	11	the	the	DET
fcis-14562	71	12	range	range	NOUN
fcis-14562	71	13	of	of	ADP
fcis-14562	71	14	500	500	NUM
fcis-14562	71	15	mpa	mpa	NOUN
fcis-14562	71	16	to	to	ADP
fcis-14562	71	17	1250	1250	NUM
fcis-14562	71	18	mpa	mpa	PROPN
fcis-14562	71	19	,	,	PUNCT
fcis-14562	71	20	while	while	SCONJ
fcis-14562	71	21	it	it	PRON
fcis-14562	71	22	is	be	AUX
fcis-14562	71	23	lower	low	ADJ
fcis-14562	71	24	in	in	ADP
fcis-14562	71	25	the	the	DET
fcis-14562	71	26	range	range	NOUN
fcis-14562	71	27	of	of	ADP
fcis-14562	71	28	1250	1250	NUM
fcis-14562	71	29	mpa	mpa	PROPN
fcis-14562	71	30	to	to	ADP
fcis-14562	71	31	1750	1750	NUM
fcis-14562	71	32	mpa	mpa	PROPN
fcis-14562	71	33	.	.	PUNCT
fcis-14562	72	1	analysis	analysis	NOUN
fcis-14562	72	2	indicates	indicate	VERB
fcis-14562	72	3	that	that	SCONJ
fcis-14562	72	4	the	the	DET
fcis-14562	72	5	lower	low	ADJ
fcis-14562	72	6	prediction	prediction	NOUN
fcis-14562	72	7	accuracy	accuracy	NOUN
fcis-14562	72	8	in	in	ADP
fcis-14562	72	9	the	the	DET
fcis-14562	72	10	range	range	NOUN
fcis-14562	72	11	of	of	ADP
fcis-14562	72	12	1250	1250	NUM
fcis-14562	72	13	mpa	mpa	NOUN
fcis-14562	72	14	to	to	ADP
fcis-14562	72	15	1750	1750	NUM
fcis-14562	72	16	mpa	mpa	PROPN
fcis-14562	72	17	is	be	AUX
fcis-14562	72	18	attributed	attribute	VERB
fcis-14562	72	19	to	to	ADP
fcis-14562	72	20	the	the	DET
fcis-14562	72	21	limited	limited	ADJ
fcis-14562	72	22	data	data	NOUN
fcis-14562	72	23	availability	availability	NOUN
fcis-14562	72	24	for	for	ADP
fcis-14562	72	25	yield	yield	NOUN
fcis-14562	72	26	strength	strength	NOUN
fcis-14562	72	27	in	in	ADP
fcis-14562	72	28	this	this	DET
fcis-14562	72	29	interval	interval	NOUN
fcis-14562	72	30	.	.	PUNCT
fcis-14562	73	1	future	future	ADJ
fcis-14562	73	2	efforts	effort	NOUN
fcis-14562	73	3	should	should	AUX
fcis-14562	73	4	focus	focus	VERB
fcis-14562	73	5	on	on	ADP
fcis-14562	73	6	adding	add	VERB
fcis-14562	73	7	corresponding	corresponding	ADJ
fcis-14562	73	8	data	datum	NOUN
fcis-14562	73	9	in	in	ADP
fcis-14562	73	10	this	this	DET
fcis-14562	73	11	range	range	NOUN
fcis-14562	73	12	.	.	PUNCT
fcis-14562	74	1	3	3	X
fcis-14562	74	2	.	.	X
fcis-14562	74	3	reliability	reliability	NOUN
fcis-14562	74	4	testing	testing	NOUN
fcis-14562	74	5	of	of	ADP
fcis-14562	74	6	the	the	DET
fcis-14562	74	7	model	model	NOUN
fcis-14562	74	8	although	although	SCONJ
fcis-14562	74	9	the	the	DET
fcis-14562	74	10	model	model	NOUN
fcis-14562	74	11	's	's	PART
fcis-14562	74	12	training	training	NOUN
fcis-14562	74	13	set	set	NOUN
fcis-14562	74	14	and	and	CCONJ
fcis-14562	74	15	test	test	NOUN
fcis-14562	74	16	set	set	VERB
fcis-14562	74	17	were	be	AUX
fcis-14562	74	18	randomly	randomly	ADV
fcis-14562	74	19	selected	select	VERB
fcis-14562	74	20	from	from	ADP
fcis-14562	74	21	the	the	DET
fcis-14562	74	22	total	total	ADJ
fcis-14562	74	23	dataset	dataset	NOUN
fcis-14562	74	24	without	without	ADP
fcis-14562	74	25	overlapping	overlap	VERB
fcis-14562	74	26	data	datum	NOUN
fcis-14562	74	27	,	,	PUNCT
fcis-14562	74	28	there	there	PRON
fcis-14562	74	29	may	may	AUX
fcis-14562	74	30	be	be	AUX
fcis-14562	74	31	similarities	similarity	NOUN
fcis-14562	74	32	between	between	ADP
fcis-14562	74	33	some	some	DET
fcis-14562	74	34	data	datum	NOUN
fcis-14562	74	35	due	due	ADP
fcis-14562	74	36	to	to	ADP
fcis-14562	74	37	the	the	DET
fcis-14562	74	38	common	common	ADJ
fcis-14562	74	39	sources	source	NOUN
fcis-14562	74	40	of	of	ADP
fcis-14562	74	41	origin	origin	NOUN
fcis-14562	74	42	.	.	PUNCT
fcis-14562	75	1	to	to	PART
fcis-14562	75	2	mitigate	mitigate	VERB
fcis-14562	75	3	the	the	DET
fcis-14562	75	4	potential	potential	ADJ
fcis-14562	75	5	impact	impact	NOUN
fcis-14562	75	6	of	of	ADP
fcis-14562	75	7	this	this	DET
fcis-14562	75	8	situation	situation	NOUN
fcis-14562	75	9	on	on	ADP
fcis-14562	75	10	the	the	DET
fcis-14562	75	11	accuracy	accuracy	NOUN
fcis-14562	75	12	of	of	ADP
fcis-14562	75	13	the	the	DET
fcis-14562	75	14	model	model	NOUN
fcis-14562	75	15	testing	testing	NOUN
fcis-14562	75	16	results	result	NOUN
fcis-14562	75	17	,	,	PUNCT
fcis-14562	75	18	two	two	NUM
fcis-14562	75	19	additional	additional	ADJ
fcis-14562	75	20	sets	set	NOUN
fcis-14562	75	21	of	of	ADP
fcis-14562	75	22	data	datum	NOUN
fcis-14562	75	23	were	be	AUX
fcis-14562	75	24	chosen	choose	VERB
fcis-14562	75	25	for	for	ADP
fcis-14562	75	26	model	model	NOUN
fcis-14562	75	27	validation	validation	NOUN
fcis-14562	75	28	.	.	PUNCT
fcis-14562	76	1	the	the	DET
fcis-14562	76	2	alloy	alloy	NOUN
fcis-14562	76	3	compositions	composition	NOUN
fcis-14562	76	4	and	and	CCONJ
fcis-14562	76	5	processes	process	NOUN
fcis-14562	76	6	for	for	ADP
fcis-14562	76	7	the	the	DET
fcis-14562	76	8	new	new	ADJ
fcis-14562	76	9	validation	validation	NOUN
fcis-14562	76	10	datasets	dataset	NOUN
fcis-14562	76	11	are	be	AUX
fcis-14562	76	12	outlined	outline	VERB
fcis-14562	76	13	in	in	ADP
fcis-14562	76	14	table	table	NOUN
fcis-14562	76	15	2	2	NUM
fcis-14562	76	16	.	.	PUNCT
fcis-14562	76	17	table	table	NOUN
fcis-14562	76	18	2	2	NUM
fcis-14562	76	19	alloy	alloy	NOUN
fcis-14562	76	20	compositions	composition	NOUN
fcis-14562	76	21	and	and	CCONJ
fcis-14562	76	22	processing	processing	NOUN
fcis-14562	76	23	methods	method	NOUN
fcis-14562	76	24	in	in	ADP
fcis-14562	76	25	the	the	DET
fcis-14562	76	26	validation	validation	NOUN
fcis-14562	76	27	dataset	dataset	VERB
fcis-14562	76	28	1	1	NUM
fcis-14562	76	29	2	2	NUM
fcis-14562	76	30	c	c	NOUN
fcis-14562	76	31	(	(	PUNCT
fcis-14562	76	32	%	%	NOUN
fcis-14562	76	33	)	)	PUNCT
fcis-14562	76	34	0.22	0.22	NUM
fcis-14562	76	35	0.28	0.28	NUM
fcis-14562	76	36	si	si	X
fcis-14562	76	37	(	(	PUNCT
fcis-14562	76	38	%	%	INTJ
fcis-14562	76	39	)	)	PUNCT
fcis-14562	76	40	0.24	0.24	NUM
fcis-14562	76	41	0.18	0.18	NUM
fcis-14562	76	42	mn	mn	PROPN
fcis-14562	76	43	(	(	PUNCT
fcis-14562	76	44	%	%	NOUN
fcis-14562	76	45	)	)	PUNCT
fcis-14562	76	46	0.48	0.48	NUM
fcis-14562	76	47	0.56	0.56	NUM
fcis-14562	76	48	s	s	NOUN
fcis-14562	76	49	(	(	PUNCT
fcis-14562	76	50	%	%	INTJ
fcis-14562	76	51	)	)	PUNCT
fcis-14562	76	52	0.003	0.003	NUM
fcis-14562	76	53	0.003	0.003	NUM
fcis-14562	76	54	p	p	NOUN
fcis-14562	76	55	(	(	PUNCT
fcis-14562	76	56	%	%	NOUN
fcis-14562	76	57	)	)	PUNCT
fcis-14562	76	58	0.011	0.011	NUM
fcis-14562	76	59	0.007	0.007	NUM
fcis-14562	76	60	cr	cr	PROPN
fcis-14562	76	61	(	(	PUNCT
fcis-14562	76	62	%	%	INTJ
fcis-14562	76	63	)	)	PUNCT
fcis-14562	76	64	0.96	0.96	NUM
fcis-14562	76	65	0.82	0.82	NUM
fcis-14562	76	66	mo	mo	PROPN
fcis-14562	76	67	(	(	PUNCT
fcis-14562	76	68	%	%	NOUN
fcis-14562	76	69	)	)	PUNCT
fcis-14562	76	70	0.69	0.69	NUM
fcis-14562	76	71	0.51	0.51	NUM
fcis-14562	76	72	ni	ni	NOUN
fcis-14562	76	73	(	(	PUNCT
fcis-14562	76	74	%	%	NOUN
fcis-14562	76	75	)	)	PUNCT
fcis-14562	76	76	0	0	NUM
fcis-14562	77	1	2.35	2.35	NUM
fcis-14562	77	2	qt	qt	NOUN
fcis-14562	77	3	(	(	PUNCT
fcis-14562	77	4	℃	℃	PROPN
fcis-14562	77	5	)	)	PUNCT
fcis-14562	77	6	910	910	NUM
fcis-14562	77	7	880	880	NUM
fcis-14562	77	8	tt	tt	PROPN
fcis-14562	77	9	(	(	PUNCT
fcis-14562	77	10	℃	℃	PROPN
fcis-14562	77	11	)	)	PUNCT
fcis-14562	77	12	660	660	NUM
fcis-14562	77	13	680	680	NUM
fcis-14562	77	14	ys	ys	PROPN
fcis-14562	77	15	(	(	PUNCT
fcis-14562	77	16	mpa	mpa	PROPN
fcis-14562	77	17	)	)	PUNCT
fcis-14562	77	18	990	990	NUM
fcis-14562	77	19	964	964	NUM
fcis-14562	77	20	ts	ts	X
fcis-14562	77	21	(	(	PUNCT
fcis-14562	77	22	mpa	mpa	PROPN
fcis-14562	77	23	)	)	PUNCT
fcis-14562	77	24	1039	1039	NUM
fcis-14562	77	25	1012	1012	NUM
fcis-14562	77	26	el	el	PROPN
fcis-14562	77	27	(	(	PUNCT
fcis-14562	77	28	%	%	NOUN
fcis-14562	77	29	)	)	PUNCT
fcis-14562	77	30	16.3	16.3	NUM
fcis-14562	77	31	17	17	NUM
fcis-14562	77	32	figure	figure	NOUN
fcis-14562	77	33	3	3	NUM
fcis-14562	77	34	.	.	NOUN
fcis-14562	77	35	actual	actual	ADJ
fcis-14562	77	36	and	and	CCONJ
fcis-14562	77	37	predicted	predict	VERB
fcis-14562	77	38	values	value	NOUN
fcis-14562	77	39	of	of	ADP
fcis-14562	77	40	the	the	DET
fcis-14562	77	41	new	new	ADJ
fcis-14562	77	42	dataset	dataset	NOUN
fcis-14562	77	43	using	use	VERB
fcis-14562	77	44	the	the	DET
fcis-14562	77	45	rf	rf	ADJ
fcis-14562	77	46	model	model	NOUN
fcis-14562	77	47	figure	figure	NOUN
fcis-14562	77	48	3	3	NUM
fcis-14562	77	49	displays	display	VERB
fcis-14562	77	50	the	the	DET
fcis-14562	77	51	prediction	prediction	NOUN
fcis-14562	77	52	results	result	NOUN
fcis-14562	77	53	of	of	ADP
fcis-14562	77	54	the	the	DET
fcis-14562	77	55	random	random	ADJ
fcis-14562	77	56	forest	forest	NOUN
fcis-14562	77	57	(	(	PUNCT
fcis-14562	77	58	rf	rf	NOUN
fcis-14562	77	59	)	)	PUNCT
fcis-14562	77	60	algorithm	algorithm	NOUN
fcis-14562	77	61	model	model	NOUN
fcis-14562	77	62	for	for	ADP
fcis-14562	77	63	the	the	DET
fcis-14562	77	64	validation	validation	NOUN
fcis-14562	77	65	dataset	dataset	NOUN
fcis-14562	77	66	.	.	PUNCT
fcis-14562	78	1	it	it	PRON
fcis-14562	78	2	can	can	AUX
fcis-14562	78	3	be	be	AUX
fcis-14562	78	4	observed	observe	VERB
fcis-14562	78	5	that	that	SCONJ
fcis-14562	78	6	despite	despite	SCONJ
fcis-14562	78	7	the	the	DET
fcis-14562	78	8	variations	variation	NOUN
fcis-14562	78	9	in	in	ADP
fcis-14562	78	10	chemical	chemical	ADJ
fcis-14562	78	11	composition	composition	NOUN
fcis-14562	78	12	,	,	PUNCT
fcis-14562	78	13	quenching	quench	VERB
fcis-14562	78	14	temperature	temperature	NOUN
fcis-14562	78	15	,	,	PUNCT
fcis-14562	78	16	and	and	CCONJ
fcis-14562	78	17	tempering	temper	VERB
fcis-14562	78	18	temperature	temperature	NOUN
fcis-14562	78	19	between	between	ADP
fcis-14562	78	20	these	these	DET
fcis-14562	78	21	two	two	NUM
fcis-14562	78	22	sets	set	NOUN
fcis-14562	78	23	of	of	ADP
fcis-14562	78	24	data	datum	NOUN
fcis-14562	78	25	,	,	PUNCT
fcis-14562	78	26	the	the	DET
fcis-14562	78	27	rf	rf	ADJ
fcis-14562	78	28	algorithm	algorithm	NOUN
fcis-14562	78	29	model	model	NOUN
fcis-14562	78	30	can	can	AUX
fcis-14562	78	31	achieve	achieve	VERB
fcis-14562	78	32	relatively	relatively	ADV
fcis-14562	78	33	accurate	accurate	ADJ
fcis-14562	78	34	predictions	prediction	NOUN
fcis-14562	78	35	.	.	PUNCT
fcis-14562	79	1	the	the	DET
fcis-14562	79	2	average	average	ADJ
fcis-14562	79	3	prediction	prediction	NOUN
fcis-14562	79	4	errors	error	NOUN
fcis-14562	79	5	are	be	AUX
fcis-14562	79	6	6.25	6.25	NUM
fcis-14562	79	7	mpa	mpa	NOUN
fcis-14562	79	8	for	for	ADP
fcis-14562	79	9	yield	yield	NOUN
fcis-14562	79	10	strength	strength	NOUN
fcis-14562	79	11	,	,	PUNCT
fcis-14562	79	12	24.07	24.07	NUM
fcis-14562	79	13	mpa	mpa	NOUN
fcis-14562	79	14	for	for	ADP
fcis-14562	79	15	tensile	tensile	NOUN
fcis-14562	79	16	strength	strength	NOUN
fcis-14562	79	17	,	,	PUNCT
fcis-14562	79	18	and	and	CCONJ
fcis-14562	79	19	1.09	1.09	NUM
fcis-14562	79	20	%	%	NOUN
fcis-14562	79	21	for	for	ADP
fcis-14562	79	22	elongation	elongation	NOUN
fcis-14562	79	23	.	.	PUNCT
fcis-14562	80	1	4	4	X
fcis-14562	80	2	.	.	X
fcis-14562	80	3	conclusion	conclusion	NOUN
fcis-14562	80	4	based	base	VERB
fcis-14562	80	5	on	on	ADP
fcis-14562	80	6	the	the	DET
fcis-14562	80	7	random	random	ADJ
fcis-14562	80	8	forest	forest	NOUN
fcis-14562	80	9	(	(	PUNCT
fcis-14562	80	10	rf	rf	NOUN
fcis-14562	80	11	)	)	PUNCT
fcis-14562	80	12	algorithm	algorithm	NOUN
fcis-14562	80	13	,	,	PUNCT
fcis-14562	80	14	a	a	DET
fcis-14562	80	15	predictive	predictive	ADJ
fcis-14562	80	16	model	model	NOUN
fcis-14562	80	17	for	for	ADP
fcis-14562	80	18	the	the	DET
fcis-14562	80	19	mechanical	mechanical	ADJ
fcis-14562	80	20	properties	property	NOUN
fcis-14562	80	21	of	of	ADP
fcis-14562	80	22	steel	steel	NOUN
fcis-14562	80	23	materials	material	NOUN
fcis-14562	80	24	,	,	PUNCT
fcis-14562	80	25	including	include	VERB
fcis-14562	80	26	yield	yield	NOUN
fcis-14562	80	27	strength	strength	NOUN
fcis-14562	80	28	,	,	PUNCT
fcis-14562	80	29	tensile	tensile	NOUN
fcis-14562	80	30	strength	strength	NOUN
fcis-14562	80	31	,	,	PUNCT
fcis-14562	80	32	and	and	CCONJ
fcis-14562	80	33	elongation	elongation	NOUN
fcis-14562	80	34	,	,	PUNCT
fcis-14562	80	35	was	be	AUX
fcis-14562	80	36	established	establish	VERB
fcis-14562	80	37	.	.	PUNCT
fcis-14562	81	1	chemical	chemical	NOUN
fcis-14562	81	2	composition	composition	NOUN
fcis-14562	81	3	and	and	CCONJ
fcis-14562	81	4	processing	processing	NOUN
fcis-14562	81	5	methods	method	NOUN
fcis-14562	81	6	were	be	AUX
fcis-14562	81	7	selected	select	VERB
fcis-14562	81	8	as	as	ADP
fcis-14562	81	9	features	feature	NOUN
fcis-14562	81	10	for	for	ADP
fcis-14562	81	11	prediction	prediction	NOUN
fcis-14562	81	12	.	.	PUNCT
fcis-14562	82	1	the	the	DET
fcis-14562	82	2	predictive	predictive	ADJ
fcis-14562	82	3	accuracy	accuracy	NOUN
fcis-14562	82	4	of	of	ADP
fcis-14562	82	5	rf	rf	NOUN
fcis-14562	82	6	for	for	ADP
fcis-14562	82	7	the	the	DET
fcis-14562	82	8	three	three	NUM
fcis-14562	82	9	mechanical	mechanical	ADJ
fcis-14562	82	10	properties	property	NOUN
fcis-14562	82	11	was	be	AUX
fcis-14562	82	12	demonstrated	demonstrate	VERB
fcis-14562	82	13	using	use	VERB
fcis-14562	82	14	r2	r2	PROPN
fcis-14562	82	15	,	,	PUNCT
fcis-14562	82	16	rmse	rmse	NOUN
fcis-14562	82	17	,	,	PUNCT
fcis-14562	82	18	and	and	CCONJ
fcis-14562	82	19	mape	mape	NOUN
fcis-14562	82	20	standards	standard	NOUN
fcis-14562	82	21	.	.	PUNCT
fcis-14562	83	1	finally	finally	ADV
fcis-14562	83	2	,	,	PUNCT
fcis-14562	83	3	two	two	NUM
fcis-14562	83	4	sets	set	NOUN
fcis-14562	83	5	of	of	ADP
fcis-14562	83	6	data	datum	NOUN
fcis-14562	83	7	with	with	ADP
fcis-14562	83	8	different	different	ADJ
fcis-14562	83	9	chemical	chemical	NOUN
fcis-14562	83	10	compositions	composition	NOUN
fcis-14562	83	11	and	and	CCONJ
fcis-14562	83	12	processing	processing	NOUN
fcis-14562	83	13	methods	method	NOUN
fcis-14562	83	14	were	be	AUX
fcis-14562	83	15	chosen	choose	VERB
fcis-14562	83	16	for	for	ADP
fcis-14562	83	17	validation	validation	NOUN
fcis-14562	83	18	,	,	PUNCT
fcis-14562	83	19	assessing	assess	VERB
fcis-14562	83	20	the	the	DET
fcis-14562	83	21	reliability	reliability	NOUN
fcis-14562	83	22	of	of	ADP
fcis-14562	83	23	the	the	DET
fcis-14562	83	24	rf	rf	ADJ
fcis-14562	83	25	algorithm	algorithm	NOUN
fcis-14562	83	26	model	model	NOUN
fcis-14562	83	27	.	.	PUNCT
fcis-14562	84	1	the	the	DET
fcis-14562	84	2	results	result	NOUN
fcis-14562	84	3	indicate	indicate	VERB
fcis-14562	84	4	an	an	DET
fcis-14562	84	5	average	average	ADJ
fcis-14562	84	6	prediction	prediction	NOUN
fcis-14562	84	7	error	error	NOUN
fcis-14562	84	8	of	of	ADP
fcis-14562	84	9	6.25	6.25	NUM
fcis-14562	84	10	mpa	mpa	NOUN
fcis-14562	84	11	for	for	ADP
fcis-14562	84	12	yield	yield	NOUN
fcis-14562	84	13	strength	strength	NOUN
fcis-14562	84	14	,	,	PUNCT
fcis-14562	84	15	24.07	24.07	NUM
fcis-14562	84	16	mpa	mpa	NOUN
fcis-14562	84	17	for	for	ADP
fcis-14562	84	18	tensile	tensile	NOUN
fcis-14562	84	19	strength	strength	NOUN
fcis-14562	84	20	,	,	PUNCT
fcis-14562	84	21	and	and	CCONJ
fcis-14562	84	22	1.09	1.09	NUM
fcis-14562	84	23	%	%	NOUN
fcis-14562	84	24	for	for	ADP
fcis-14562	84	25	elongation	elongation	NOUN
fcis-14562	84	26	.	.	PUNCT
fcis-14562	85	1	the	the	DET
fcis-14562	85	2	rf	rf	ADJ
fcis-14562	85	3	algorithm	algorithm	NOUN
fcis-14562	85	4	model	model	NOUN
fcis-14562	85	5	proves	prove	VERB
fcis-14562	85	6	to	to	PART
fcis-14562	85	7	be	be	AUX
fcis-14562	85	8	reliable	reliable	ADJ
fcis-14562	85	9	for	for	ADP
fcis-14562	85	10	predicting	predict	VERB
fcis-14562	85	11	the	the	DET
fcis-14562	85	12	mechanical	mechanical	ADJ
fcis-14562	85	13	properties	property	NOUN
fcis-14562	85	14	of	of	ADP
fcis-14562	85	15	steel	steel	NOUN
fcis-14562	85	16	materials	material	NOUN
fcis-14562	85	17	.	.	PUNCT
fcis-14562	86	1	acknowledgments	acknowledgment	NOUN
fcis-14562	86	2	natural	natural	PROPN
fcis-14562	86	3	science	science	PROPN
fcis-14562	86	4	foundation	foundation	PROPN
fcis-14562	86	5	.	.	PUNCT
fcis-14562	87	1	references	reference	NOUN
fcis-14562	87	2	[	[	X
fcis-14562	87	3	1	1	X
fcis-14562	87	4	]	]	PUNCT
fcis-14562	87	5	juan	juan	PROPN
fcis-14562	87	6	y	y	PROPN
fcis-14562	87	7	,	,	PUNCT
fcis-14562	87	8	dai	dai	PROPN
fcis-14562	87	9	y	y	PROPN
fcis-14562	87	10	,	,	PUNCT
fcis-14562	87	11	yang	yang	PROPN
fcis-14562	87	12	y	y	PROPN
fcis-14562	87	13	,	,	PUNCT
fcis-14562	87	14	et	et	PROPN
fcis-14562	87	15	al	al	PROPN
fcis-14562	87	16	.	.	PUNCT
fcis-14562	88	1	accelerating	accelerate	VERB
fcis-14562	88	2	materials	material	NOUN
fcis-14562	88	3	discovery	discovery	NOUN
fcis-14562	88	4	using	use	VERB
fcis-14562	88	5	machine	machine	NOUN
fcis-14562	88	6	learning	learn	VERB
fcis-14562	88	7	[	[	X
fcis-14562	88	8	j	j	X
fcis-14562	88	9	]	]	X
fcis-14562	88	10	.	.	PUNCT
fcis-14562	89	1	journal	journal	PROPN
fcis-14562	89	2	of	of	ADP
fcis-14562	89	3	materials	material	NOUN
fcis-14562	89	4	science	science	NOUN
fcis-14562	89	5	&	&	CCONJ
fcis-14562	89	6	technology	technology	NOUN
fcis-14562	89	7	,	,	PUNCT
fcis-14562	89	8	2021	2021	NUM
fcis-14562	89	9	,	,	PUNCT
fcis-14562	89	10	79	79	NUM
fcis-14562	89	11	:	:	SYM
fcis-14562	89	12	178	178	NUM
fcis-14562	89	13	-	-	PUNCT
fcis-14562	89	14	190.w.-k	190.w.-k	PROPN
fcis-14562	89	15	.	.	PUNCT
fcis-14562	90	1	chen	chen	PROPN
fcis-14562	90	2	,	,	PUNCT
fcis-14562	90	3	linear	linear	PROPN
fcis-14562	90	4	networks	network	NOUN
fcis-14562	90	5	and	and	CCONJ
fcis-14562	90	6	systems	system	NOUN
fcis-14562	90	7	(	(	PUNCT
fcis-14562	90	8	book	book	NOUN
fcis-14562	90	9	style	style	NOUN
fcis-14562	90	10	)	)	PUNCT
fcis-14562	90	11	.	.	PUNCT
fcis-14562	91	1	belmont	belmont	PROPN
fcis-14562	91	2	,	,	PUNCT
fcis-14562	91	3	ca	can	AUX
fcis-14562	91	4	:	:	PUNCT
fcis-14562	91	5	wadsworth	wadsworth	NOUN
fcis-14562	91	6	,	,	PUNCT
fcis-14562	91	7	1993	1993	NUM
fcis-14562	91	8	,	,	PUNCT
fcis-14562	91	9	pp	pp	ADP
fcis-14562	91	10	.	.	PUNCT
fcis-14562	92	1	123–135	123–135	NUM
fcis-14562	92	2	.	.	PUNCT
fcis-14562	93	1	[	[	X
fcis-14562	93	2	2	2	NUM
fcis-14562	93	3	]	]	PUNCT
fcis-14562	93	4	wei	wei	PROPN
fcis-14562	93	5	j	j	PROPN
fcis-14562	93	6	,	,	PUNCT
fcis-14562	93	7	chu	chu	PROPN
fcis-14562	93	8	x	x	PROPN
fcis-14562	93	9	,	,	PUNCT
fcis-14562	93	10	sun	sun	PROPN
fcis-14562	93	11	x	x	SYM
fcis-14562	93	12	y	y	PROPN
fcis-14562	93	13	,	,	PUNCT
fcis-14562	93	14	et	et	PROPN
fcis-14562	93	15	al	al	PROPN
fcis-14562	93	16	.	.	PROPN
fcis-14562	93	17	machine	machine	NOUN
fcis-14562	93	18	learning	learning	NOUN
fcis-14562	93	19	in	in	ADP
fcis-14562	93	20	materials	material	NOUN
fcis-14562	93	21	science	science	NOUN
fcis-14562	94	1	[	[	X
fcis-14562	94	2	j	j	X
fcis-14562	94	3	]	]	X
fcis-14562	94	4	.	.	PUNCT
fcis-14562	95	1	infomat	infomat	PROPN
fcis-14562	95	2	,	,	PUNCT
fcis-14562	95	3	2019	2019	NUM
fcis-14562	95	4	,	,	PUNCT
fcis-14562	95	5	1(3	1(3	NUM
fcis-14562	95	6	):	):	PUNCT
fcis-14562	95	7	338	338	NUM
fcis-14562	95	8	-	-	PUNCT
fcis-14562	95	9	358.b	358.b	NOUN
fcis-14562	95	10	.	.	PUNCT
fcis-14562	96	1	smith	smith	PROPN
fcis-14562	96	2	,	,	PUNCT
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fcis-14562	96	4	an	an	DET
fcis-14562	96	5	approach	approach	NOUN
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fcis-14562	96	7	graphs	graph	NOUN
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fcis-14562	96	11	(	(	PUNCT
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fcis-14562	96	13	work	work	NOUN
fcis-14562	96	14	style	style	NOUN
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fcis-14562	96	16	,	,	PUNCT
fcis-14562	96	17	”	"	PUNCT
fcis-14562	96	18	unpublished	unpublished	ADJ
fcis-14562	96	19	.	.	PUNCT
fcis-14562	97	1	[	[	X
fcis-14562	97	2	3	3	X
fcis-14562	97	3	]	]	X
fcis-14562	97	4	hou	hou	PROPN
fcis-14562	97	5	tengyue;sun	tengyue;sun	PROPN
fcis-14562	97	6	yanhui;sun	yanhui;sun	PROPN
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fcis-14562	97	8	,	,	PUNCT
fcis-14562	97	9	et	et	PROPN
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fcis-14562	97	11	.	.	PUNCT
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fcis-14562	98	2	review	review	NOUN
fcis-14562	98	3	of	of	ADP
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fcis-14562	98	6	of	of	ADP
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fcis-14562	98	9	in	in	ADP
fcis-14562	98	10	material	material	NOUN
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fcis-14562	99	1	[	[	X
fcis-14562	99	2	j	j	X
fcis-14562	99	3	]	]	X
fcis-14562	99	4	.	.	PUNCT
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fcis-14562	100	2	reports	report	NOUN
fcis-14562	100	3	,	,	PUNCT
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fcis-14562	100	5	,	,	PUNCT
fcis-14562	100	6	36(06	36(06	NUM
fcis-14562	100	7	):	):	PUNCT
fcis-14562	100	8	165	165	NUM
fcis-14562	100	9	-	-	SYM
fcis-14562	100	10	176	176	NUM
fcis-14562	100	11	.	.	PUNCT
fcis-14562	101	1	[	[	X
fcis-14562	101	2	4	4	X
fcis-14562	101	3	]	]	PUNCT
fcis-14562	101	4	wei	wei	PROPN
fcis-14562	101	5	j	j	PROPN
fcis-14562	101	6	,	,	PUNCT
fcis-14562	101	7	chu	chu	PROPN
fcis-14562	101	8	x	x	PROPN
fcis-14562	101	9	,	,	PUNCT
fcis-14562	101	10	sun	sun	PROPN
fcis-14562	101	11	x	x	SYM
fcis-14562	101	12	y	y	PROPN
fcis-14562	101	13	,	,	PUNCT
fcis-14562	101	14	et	et	PROPN
fcis-14562	101	15	al	al	PROPN
fcis-14562	101	16	.	.	PROPN
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fcis-14562	101	18	learning	learning	NOUN
fcis-14562	101	19	in	in	ADP
fcis-14562	101	20	materials	material	NOUN
fcis-14562	101	21	science	science	NOUN
fcis-14562	102	1	[	[	X
fcis-14562	102	2	j	j	X
fcis-14562	102	3	]	]	X
fcis-14562	102	4	.	.	PUNCT
fcis-14562	103	1	infomat	infomat	PROPN
fcis-14562	103	2	,	,	PUNCT
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fcis-14562	103	4	,	,	PUNCT
fcis-14562	103	5	1(3	1(3	NUM
fcis-14562	103	6	):	):	PUNCT
fcis-14562	103	7	338	338	NUM
fcis-14562	103	8	-	-	PUNCT
fcis-14562	103	9	358.c	358.c	NOUN
fcis-14562	103	10	.	.	PUNCT
fcis-14562	104	1	j.	j.	PROPN
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fcis-14562	104	3	,	,	PUNCT
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fcis-14562	104	5	mountain	mountain	NOUN
fcis-14562	104	6	research	research	NOUN
fcis-14562	104	7	lab	lab	NOUN
fcis-14562	104	8	.	.	PUNCT
fcis-14562	104	9	,	,	PUNCT
fcis-14562	104	10	boulder	boulder	PROPN
fcis-14562	104	11	,	,	PUNCT
fcis-14562	104	12	co	co	NOUN
fcis-14562	104	13	,	,	PUNCT
fcis-14562	104	14	private	private	ADJ
fcis-14562	104	15	communication	communication	NOUN
fcis-14562	104	16	,	,	PUNCT
fcis-14562	104	17	may	may	PROPN
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fcis-14562	105	3	]	]	X
fcis-14562	105	4	liu	liu	PROPN
fcis-14562	105	5	y	y	PROPN
fcis-14562	105	6	,	,	PUNCT
fcis-14562	105	7	sun	sun	PROPN
fcis-14562	105	8	j	j	PROPN
fcis-14562	105	9	-	-	PUNCT
fcis-14562	105	10	b	b	PROPN
fcis-14562	105	11	,	,	PUNCT
fcis-14562	105	12	liu	liu	PROPN
fcis-14562	105	13	s	s	PROPN
fcis-14562	105	14	-	-	PROPN
fcis-14562	105	15	j	j	PROPN
fcis-14562	105	16	,	,	PUNCT
fcis-14562	105	17	et	et	PROPN
fcis-14562	105	18	al	al	PROPN
fcis-14562	105	19	.	.	PUNCT
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fcis-14562	105	21	of	of	ADP
fcis-14562	105	22	ultra	ultra	ADJ
fcis-14562	105	23	-	-	ADJ
fcis-14562	105	24	high	high	ADJ
fcis-14562	105	25	and	and	CCONJ
fcis-14562	105	26	high	high	ADJ
fcis-14562	105	27	manganese	manganese	NOUN
fcis-14562	105	28	steel	steel	NOUN
fcis-14562	105	29	based	base	VERB
fcis-14562	105	30	on	on	ADP
fcis-14562	105	31	artificial	artificial	ADJ
fcis-14562	105	32	neural	neural	ADJ
fcis-14562	105	33	network	network	NOUN
fcis-14562	105	34	and	and	CCONJ
fcis-14562	105	35	genetic	genetic	ADJ
fcis-14562	105	36	algorithm	algorithm	NOUN
fcis-14562	106	1	[	[	X
fcis-14562	106	2	j	j	X
fcis-14562	106	3	]	]	X
fcis-14562	106	4	.	.	PUNCT
fcis-14562	107	1	journal	journal	PROPN
fcis-14562	107	2	of	of	ADP
fcis-14562	107	3	materials	material	NOUN
fcis-14562	107	4	engineering	engineering	NOUN
fcis-14562	107	5	and	and	CCONJ
fcis-14562	107	6	performance	performance	NOUN
fcis-14562	107	7	,	,	PUNCT
fcis-14562	107	8	2023	2023	NUM
fcis-14562	107	9	:	:	PUNCT
fcis-14562	107	10	1	1	NUM
fcis-14562	107	11	-	-	SYM
fcis-14562	107	12	11.m	11.m	NUM
fcis-14562	107	13	.	.	PUNCT
fcis-14562	108	1	young	young	ADJ
fcis-14562	108	2	,	,	PUNCT
fcis-14562	108	3	the	the	DET
fcis-14562	108	4	techincal	techincal	ADJ
fcis-14562	108	5	writers	writer	NOUN
fcis-14562	108	6	handbook	handbook	NOUN
fcis-14562	108	7	.	.	PUNCT
fcis-14562	109	1	mill	mill	NOUN
fcis-14562	109	2	valley	valley	PROPN
fcis-14562	109	3	,	,	PUNCT
fcis-14562	109	4	ca	ca	PROPN
fcis-14562	109	5	:	:	PUNCT
fcis-14562	109	6	university	university	NOUN
fcis-14562	109	7	science	science	NOUN
fcis-14562	109	8	,	,	PUNCT
fcis-14562	109	9	1989	1989	NUM
fcis-14562	109	10	.	.	PUNCT
fcis-14562	110	1	[	[	X
fcis-14562	110	2	6	6	NUM
fcis-14562	110	3	]	]	X
fcis-14562	110	4	mukhopadhyay	mukhopadhyay	NOUN
fcis-14562	110	5	a	a	NOUN
fcis-14562	110	6	,	,	PUNCT
fcis-14562	110	7	iqbal	iqbal	PROPN
fcis-14562	110	8	a.	a.	NOUN
fcis-14562	110	9	prediction	prediction	NOUN
fcis-14562	110	10	of	of	ADP
fcis-14562	110	11	mechanical	mechanical	ADJ
fcis-14562	110	12	properties	property	NOUN
fcis-14562	110	13	of	of	ADP
fcis-14562	110	14	hot	hot	ADJ
fcis-14562	110	15	rolled	roll	VERB
fcis-14562	110	16	,	,	PUNCT
fcis-14562	110	17	low	low	ADJ
fcis-14562	110	18	-	-	PUNCT
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fcis-14562	110	20	steel	steel	NOUN
fcis-14562	110	21	strips	strip	NOUN
fcis-14562	110	22	using	use	VERB
fcis-14562	110	23	artificial	artificial	ADJ
fcis-14562	110	24	neural	neural	ADJ
fcis-14562	110	25	network	network	NOUN
fcis-14562	110	26	[	[	X
fcis-14562	110	27	j	j	X
fcis-14562	110	28	]	]	X
fcis-14562	110	29	.	.	PUNCT
fcis-14562	111	1	materials	material	NOUN
fcis-14562	111	2	and	and	CCONJ
fcis-14562	111	3	manufacturing	manufacturing	NOUN
fcis-14562	111	4	processes	process	NOUN
fcis-14562	111	5	,	,	PUNCT
fcis-14562	111	6	2005	2005	NUM
fcis-14562	111	7	,	,	PUNCT
fcis-14562	111	8	20(5	20(5	NUM
fcis-14562	111	9	):	):	PUNCT
fcis-14562	111	10	793	793	NUM
fcis-14562	111	11	-	-	SYM
fcis-14562	111	12	812	812	NUM
fcis-14562	111	13	.	.	PUNCT
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fcis-14562	112	2	7	7	X
fcis-14562	112	3	]	]	X
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fcis-14562	112	6	,	,	PUNCT
fcis-14562	112	7	li	li	PROPN
fcis-14562	112	8	wei	wei	PROPN
fcis-14562	112	9	-	-	PUNCT
fcis-14562	112	10	gang	gang	NOUN
fcis-14562	112	11	,	,	PUNCT
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fcis-14562	112	14	-	-	PUNCT
fcis-14562	112	15	tao	tao	PROPN
fcis-14562	112	16	,	,	PUNCT
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fcis-14562	112	18	al	al	PROPN
fcis-14562	112	19	.	.	PROPN
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fcis-14562	112	21	property	property	NOUN
fcis-14562	112	22	prediction	prediction	NOUN
fcis-14562	112	23	of	of	ADP
fcis-14562	112	24	steel	steel	NOUN
fcis-14562	112	25	and	and	CCONJ
fcis-14562	112	26	influence	influence	NOUN
fcis-14562	112	27	factors	factor	NOUN
fcis-14562	112	28	selection	selection	NOUN
fcis-14562	112	29	based	base	VERB
fcis-14562	112	30	on	on	ADP
fcis-14562	112	31	random	random	ADJ
fcis-14562	112	32	forests	forest	NOUN
fcis-14562	112	33	[	[	X
fcis-14562	112	34	j	j	X
fcis-14562	112	35	]	]	X
fcis-14562	112	36	.	.	PUNCT
fcis-14562	113	1	iron	iron	PROPN
fcis-14562	113	2	&	&	CCONJ
fcis-14562	113	3	steel	steel	PROPN
fcis-14562	113	4	,	,	PUNCT
fcis-14562	113	5	2018	2018	NUM
fcis-14562	113	6	,	,	PUNCT
fcis-14562	113	7	53(03	53(03	NUM
fcis-14562	113	8	):	):	PUNCT
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fcis-14562	113	10	-	-	SYM
fcis-14562	113	11	49	49	NUM
fcis-14562	113	12	.	.	PUNCT
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fcis-14562	114	2	8	8	NUM
fcis-14562	114	3	]	]	X
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fcis-14562	114	9	,	,	PUNCT
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fcis-14562	114	12	.	.	PUNCT
fcis-14562	115	1	ga	ga	PROPN
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fcis-14562	116	1	[	[	X
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fcis-14562	116	3	]	]	X
fcis-14562	116	4	.	.	PUNCT
fcis-14562	117	1	journal	journal	PROPN
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fcis-14562	117	5	,	,	PUNCT
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fcis-14562	117	9	):	):	PUNCT
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fcis-14562	117	11	-	-	SYM
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fcis-14562	117	13	.	.	PUNCT
fcis-14562	118	1	[	[	X
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fcis-14562	118	3	]	]	PUNCT
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fcis-14562	118	5	l.	l.	PROPN
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fcis-14562	119	1	[	[	X
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fcis-14562	119	3	]	]	X
fcis-14562	119	4	.	.	PUNCT
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fcis-14562	120	3	,	,	PUNCT
fcis-14562	120	4	2001	2001	NUM
fcis-14562	120	5	,	,	PUNCT
fcis-14562	120	6	45	45	NUM
fcis-14562	120	7	:	:	SYM
fcis-14562	120	8	5	5	NUM
fcis-14562	120	9	-	-	SYM
fcis-14562	120	10	32	32	NUM
fcis-14562	120	11	.	.	NOUN
fcis-14562	120	12	1	1	NUM
fcis-14562	120	13	2	2	NUM
fcis-14562	120	14	0	0	NUM
fcis-14562	120	15	200	200	NUM
fcis-14562	120	16	400	400	NUM
fcis-14562	120	17	600	600	NUM
fcis-14562	120	18	800	800	NUM
fcis-14562	120	19	1000	1000	NUM
fcis-14562	120	20	y	y	PROPN
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fcis-14562	120	23	s	s	PART
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fcis-14562	120	25	en	en	PROPN
fcis-14562	120	26	gt	gt	PROPN
fcis-14562	120	27	h	h	PROPN
fcis-14562	120	28	(	(	PUNCT
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fcis-14562	120	30	p	p	NOUN
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fcis-14562	120	33	true	true	ADJ
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fcis-14562	120	35	1	1	NUM
fcis-14562	120	36	2	2	NUM
fcis-14562	120	37	0	0	NUM
fcis-14562	120	38	200	200	NUM
fcis-14562	120	39	400	400	NUM
fcis-14562	120	40	600	600	NUM
fcis-14562	120	41	800	800	NUM
fcis-14562	120	42	1000	1000	NUM
fcis-14562	120	43	1200	1200	NUM
fcis-14562	120	44	t	t	NOUN
fcis-14562	120	45	en	en	X
fcis-14562	120	46	si	si	X
fcis-14562	120	47	le	le	X
fcis-14562	120	48	s	s	PROPN
fcis-14562	120	49	tr	tr	VERB
fcis-14562	120	50	en	en	PROPN
fcis-14562	120	51	gt	gt	PROPN
fcis-14562	120	52	h	h	PROPN
fcis-14562	120	53	(	(	PUNCT
fcis-14562	120	54	m	m	PROPN
fcis-14562	120	55	p	p	NOUN
fcis-14562	120	56	a	a	X
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fcis-14562	120	58	true	true	ADJ
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fcis-14562	120	60	1	1	NUM
fcis-14562	120	61	2	2	NUM
fcis-14562	120	62	0	0	NUM
fcis-14562	120	63	2	2	NUM
fcis-14562	120	64	4	4	NUM
fcis-14562	120	65	6	6	NUM
fcis-14562	120	66	8	8	NUM
fcis-14562	120	67	10	10	NUM
fcis-14562	120	68	12	12	NUM
fcis-14562	120	69	14	14	NUM
fcis-14562	120	70	16	16	NUM
fcis-14562	120	71	18	18	NUM
fcis-14562	120	72	20	20	NUM
fcis-14562	120	73	e	e	NOUN
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fcis-14562	120	75	n	n	PROPN
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fcis-14562	120	78	on	on	ADP
fcis-14562	120	79	(	(	PUNCT
fcis-14562	120	80	%	%	NOUN
fcis-14562	120	81	)	)	PUNCT
fcis-14562	120	82	true	true	ADJ
fcis-14562	120	83	predict	predict	VERB