id	sid	tid	token	lemma	pos
fumecheng-7904	1	1	7904	7904	NUM
fumecheng-7904	1	2	facta	facta	PROPN
fumecheng-7904	1	3	universitatis	universitatis	PROPN
fumecheng-7904	1	4	series	series	NOUN
fumecheng-7904	1	5	:	:	PUNCT
fumecheng-7904	1	6	mechanical	mechanical	ADJ
fumecheng-7904	1	7	engineering	engineering	NOUN
fumecheng-7904	1	8	vol	vol	NOUN
fumecheng-7904	1	9	.	.	PROPN
fumecheng-7904	1	10	21	21	NUM
fumecheng-7904	1	11	,	,	PUNCT
fumecheng-7904	1	12	no	no	DET
fumecheng-7904	1	13	4	4	NUM
fumecheng-7904	1	14	,	,	PUNCT
fumecheng-7904	1	15	2023	2023	NUM
fumecheng-7904	1	16	,	,	PUNCT
fumecheng-7904	1	17	pp	pp	ADJ
fumecheng-7904	1	18	.	.	PUNCT
fumecheng-7904	2	1	685	685	NUM
fumecheng-7904	2	2	700	700	NUM
fumecheng-7904	2	3	https://doi.org/10.22190/fume210728071b	https://doi.org/10.22190/fume210728071b	ADP
fumecheng-7904	2	4	©	©	PROPN
fumecheng-7904	2	5	2023	2023	NUM
fumecheng-7904	2	6	by	by	ADP
fumecheng-7904	2	7	university	university	PROPN
fumecheng-7904	2	8	of	of	ADP
fumecheng-7904	2	9	niš	niš	PROPN
fumecheng-7904	2	10	,	,	PUNCT
fumecheng-7904	2	11	serbia	serbia	PROPN
fumecheng-7904	2	12	|	|	ADV
fumecheng-7904	2	13	creative	creative	ADJ
fumecheng-7904	2	14	commons	common	NOUN
fumecheng-7904	2	15	license	license	NOUN
fumecheng-7904	2	16	:	:	PUNCT
fumecheng-7904	2	17	cc	cc	VERB
fumecheng-7904	2	18	by	by	ADP
fumecheng-7904	2	19	-	-	PUNCT
fumecheng-7904	2	20	nc	nc	VERB
fumecheng-7904	2	21	-	-	PUNCT
fumecheng-7904	2	22	nd	nd	ADV
fumecheng-7904	2	23	original	original	ADJ
fumecheng-7904	2	24	scientific	scientific	ADJ
fumecheng-7904	2	25	paper	paper	NUM
fumecheng-7904	2	26	prediction	prediction	NOUN
fumecheng-7904	2	27	of	of	ADP
fumecheng-7904	2	28	responses	response	NOUN
fumecheng-7904	2	29	in	in	ADP
fumecheng-7904	2	30	a	a	DET
fumecheng-7904	2	31	cnc	cnc	PROPN
fumecheng-7904	2	32	milling	milling	NOUN
fumecheng-7904	2	33	operation	operation	NOUN
fumecheng-7904	2	34	using	use	VERB
fumecheng-7904	2	35	random	random	ADJ
fumecheng-7904	2	36	forest	forest	NOUN
fumecheng-7904	2	37	regressor	regressor	NOUN
fumecheng-7904	2	38	shibaprasad	shibaprasad	PROPN
fumecheng-7904	2	39	bhattacharya	bhattacharya	PROPN
fumecheng-7904	2	40	,	,	PUNCT
fumecheng-7904	2	41	shankar	shankar	PROPN
fumecheng-7904	2	42	chakraborty	chakraborty	PROPN
fumecheng-7904	2	43	department	department	PROPN
fumecheng-7904	2	44	of	of	ADP
fumecheng-7904	2	45	production	production	PROPN
fumecheng-7904	2	46	engineering	engineering	NOUN
fumecheng-7904	2	47	,	,	PUNCT
fumecheng-7904	2	48	jadavpur	jadavpur	PROPN
fumecheng-7904	2	49	university	university	PROPN
fumecheng-7904	2	50	,	,	PUNCT
fumecheng-7904	2	51	kolkata	kolkata	PROPN
fumecheng-7904	2	52	,	,	PUNCT
fumecheng-7904	2	53	west	west	PROPN
fumecheng-7904	2	54	bengal	bengal	PROPN
fumecheng-7904	2	55	,	,	PUNCT
fumecheng-7904	2	56	india	india	PROPN
fumecheng-7904	2	57	abstract	abstract	NOUN
fumecheng-7904	2	58	.	.	PUNCT
fumecheng-7904	3	1	in	in	ADP
fumecheng-7904	3	2	the	the	DET
fumecheng-7904	3	3	present	present	ADJ
fumecheng-7904	3	4	-	-	PUNCT
fumecheng-7904	3	5	day	day	NOUN
fumecheng-7904	3	6	manufacturing	manufacturing	NOUN
fumecheng-7904	3	7	environment	environment	NOUN
fumecheng-7904	3	8	,	,	PUNCT
fumecheng-7904	3	9	the	the	DET
fumecheng-7904	3	10	modeling	modeling	NOUN
fumecheng-7904	3	11	of	of	ADP
fumecheng-7904	3	12	a	a	DET
fumecheng-7904	3	13	machining	machining	NOUN
fumecheng-7904	3	14	process	process	NOUN
fumecheng-7904	3	15	with	with	ADP
fumecheng-7904	3	16	the	the	DET
fumecheng-7904	3	17	help	help	NOUN
fumecheng-7904	3	18	of	of	ADP
fumecheng-7904	3	19	statistical	statistical	ADJ
fumecheng-7904	3	20	and	and	CCONJ
fumecheng-7904	3	21	machine	machine	NOUN
fumecheng-7904	3	22	learning	learn	VERB
fumecheng-7904	3	23	techniques	technique	NOUN
fumecheng-7904	3	24	in	in	ADP
fumecheng-7904	3	25	order	order	NOUN
fumecheng-7904	3	26	to	to	PART
fumecheng-7904	3	27	understand	understand	VERB
fumecheng-7904	3	28	the	the	DET
fumecheng-7904	3	29	material	material	NOUN
fumecheng-7904	3	30	removal	removal	NOUN
fumecheng-7904	3	31	mechanism	mechanism	NOUN
fumecheng-7904	3	32	and	and	CCONJ
fumecheng-7904	3	33	study	study	VERB
fumecheng-7904	3	34	the	the	DET
fumecheng-7904	3	35	influences	influence	NOUN
fumecheng-7904	3	36	of	of	ADP
fumecheng-7904	3	37	the	the	DET
fumecheng-7904	3	38	input	input	NOUN
fumecheng-7904	3	39	parameters	parameter	NOUN
fumecheng-7904	3	40	on	on	ADP
fumecheng-7904	3	41	the	the	DET
fumecheng-7904	3	42	responses	response	NOUN
fumecheng-7904	3	43	has	have	AUX
fumecheng-7904	3	44	become	become	VERB
fumecheng-7904	3	45	essential	essential	ADJ
fumecheng-7904	3	46	for	for	ADP
fumecheng-7904	3	47	cost	cost	NOUN
fumecheng-7904	3	48	optimization	optimization	NOUN
fumecheng-7904	3	49	and	and	CCONJ
fumecheng-7904	3	50	effective	effective	ADJ
fumecheng-7904	3	51	resource	resource	NOUN
fumecheng-7904	3	52	utilization	utilization	NOUN
fumecheng-7904	3	53	.	.	PUNCT
fumecheng-7904	4	1	in	in	ADP
fumecheng-7904	4	2	this	this	DET
fumecheng-7904	4	3	paper	paper	NOUN
fumecheng-7904	4	4	,	,	PUNCT
fumecheng-7904	4	5	using	use	VERB
fumecheng-7904	4	6	a	a	DET
fumecheng-7904	4	7	past	past	ADJ
fumecheng-7904	4	8	cnc	cnc	PROPN
fumecheng-7904	4	9	face	face	NOUN
fumecheng-7904	4	10	milling	mill	VERB
fumecheng-7904	4	11	dataset	dataset	NOUN
fumecheng-7904	4	12	with	with	ADP
fumecheng-7904	4	13	27	27	NUM
fumecheng-7904	4	14	experimental	experimental	ADJ
fumecheng-7904	4	15	observations	observation	NOUN
fumecheng-7904	4	16	,	,	PUNCT
fumecheng-7904	4	17	a	a	DET
fumecheng-7904	4	18	random	random	ADJ
fumecheng-7904	4	19	forest	forest	NOUN
fumecheng-7904	4	20	(	(	PUNCT
fumecheng-7904	4	21	rf	rf	NOUN
fumecheng-7904	4	22	)	)	PUNCT
fumecheng-7904	4	23	regressor	regressor	NOUN
fumecheng-7904	4	24	is	be	AUX
fumecheng-7904	4	25	employed	employ	VERB
fumecheng-7904	4	26	to	to	PART
fumecheng-7904	4	27	effectively	effectively	ADV
fumecheng-7904	4	28	predict	predict	VERB
fumecheng-7904	4	29	the	the	DET
fumecheng-7904	4	30	response	response	NOUN
fumecheng-7904	4	31	values	value	NOUN
fumecheng-7904	4	32	of	of	ADP
fumecheng-7904	4	33	the	the	DET
fumecheng-7904	4	34	said	say	VERB
fumecheng-7904	4	35	process	process	NOUN
fumecheng-7904	4	36	for	for	ADP
fumecheng-7904	4	37	given	give	VERB
fumecheng-7904	4	38	sets	set	NOUN
fumecheng-7904	4	39	of	of	ADP
fumecheng-7904	4	40	input	input	NOUN
fumecheng-7904	4	41	parameters	parameter	NOUN
fumecheng-7904	4	42	.	.	PUNCT
fumecheng-7904	5	1	the	the	DET
fumecheng-7904	5	2	considered	considered	ADJ
fumecheng-7904	5	3	milling	mill	VERB
fumecheng-7904	5	4	dataset	dataset	NOUN
fumecheng-7904	5	5	consists	consist	NOUN
fumecheng-7904	5	6	of	of	ADP
fumecheng-7904	5	7	four	four	NUM
fumecheng-7904	5	8	input	input	NOUN
fumecheng-7904	5	9	parameters	parameter	NOUN
fumecheng-7904	5	10	,	,	PUNCT
fumecheng-7904	5	11	i.e.	i.e.	X
fumecheng-7904	5	12	cutting	cut	VERB
fumecheng-7904	5	13	speed	speed	NOUN
fumecheng-7904	5	14	,	,	PUNCT
fumecheng-7904	5	15	feed	feed	NOUN
fumecheng-7904	5	16	rate	rate	NOUN
fumecheng-7904	5	17	,	,	PUNCT
fumecheng-7904	5	18	depth	depth	NOUN
fumecheng-7904	5	19	of	of	ADP
fumecheng-7904	5	20	cut	cut	NOUN
fumecheng-7904	5	21	and	and	CCONJ
fumecheng-7904	5	22	width	width	NOUN
fumecheng-7904	5	23	of	of	ADP
fumecheng-7904	5	24	cut	cut	NOUN
fumecheng-7904	5	25	,	,	PUNCT
fumecheng-7904	5	26	and	and	CCONJ
fumecheng-7904	5	27	three	three	NUM
fumecheng-7904	5	28	responses	response	NOUN
fumecheng-7904	5	29	,	,	PUNCT
fumecheng-7904	5	30	i.e.	i.e.	X
fumecheng-7904	5	31	material	material	NOUN
fumecheng-7904	5	32	removal	removal	NOUN
fumecheng-7904	5	33	rate	rate	NOUN
fumecheng-7904	5	34	,	,	PUNCT
fumecheng-7904	5	35	surface	surface	NOUN
fumecheng-7904	5	36	roughness	roughness	NOUN
fumecheng-7904	5	37	and	and	CCONJ
fumecheng-7904	5	38	active	active	ADJ
fumecheng-7904	5	39	energy	energy	NOUN
fumecheng-7904	5	40	consumption	consumption	NOUN
fumecheng-7904	5	41	.	.	PUNCT
fumecheng-7904	6	1	the	the	DET
fumecheng-7904	6	2	rf	rf	NOUN
fumecheng-7904	6	3	regressor	regressor	NOUN
fumecheng-7904	6	4	is	be	AUX
fumecheng-7904	6	5	an	an	DET
fumecheng-7904	6	6	ensemble	ensemble	ADJ
fumecheng-7904	6	7	learning	learning	NOUN
fumecheng-7904	6	8	method	method	NOUN
fumecheng-7904	6	9	where	where	SCONJ
fumecheng-7904	6	10	multiple	multiple	ADJ
fumecheng-7904	6	11	decision	decision	NOUN
fumecheng-7904	6	12	trees	tree	NOUN
fumecheng-7904	6	13	are	be	AUX
fumecheng-7904	6	14	combined	combine	VERB
fumecheng-7904	6	15	together	together	ADV
fumecheng-7904	6	16	to	to	PART
fumecheng-7904	6	17	provide	provide	VERB
fumecheng-7904	6	18	better	well	ADJ
fumecheng-7904	6	19	prediction	prediction	NOUN
fumecheng-7904	6	20	results	result	NOUN
fumecheng-7904	6	21	with	with	ADP
fumecheng-7904	6	22	minimum	minimum	ADJ
fumecheng-7904	6	23	variance	variance	NOUN
fumecheng-7904	6	24	and	and	CCONJ
fumecheng-7904	6	25	overfitting	overfitting	NOUN
fumecheng-7904	6	26	of	of	ADP
fumecheng-7904	6	27	data	datum	NOUN
fumecheng-7904	6	28	.	.	PUNCT
fumecheng-7904	7	1	its	its	PRON
fumecheng-7904	7	2	prediction	prediction	NOUN
fumecheng-7904	7	3	performance	performance	NOUN
fumecheng-7904	7	4	is	be	AUX
fumecheng-7904	7	5	validated	validate	VERB
fumecheng-7904	7	6	using	use	VERB
fumecheng-7904	7	7	five	five	NUM
fumecheng-7904	7	8	statistical	statistical	ADJ
fumecheng-7904	7	9	metrics	metric	NOUN
fumecheng-7904	7	10	,	,	PUNCT
fumecheng-7904	7	11	i.e.	i.e.	X
fumecheng-7904	7	12	mean	mean	VERB
fumecheng-7904	7	13	absolute	absolute	ADJ
fumecheng-7904	7	14	percentage	percentage	NOUN
fumecheng-7904	7	15	error	error	NOUN
fumecheng-7904	7	16	,	,	PUNCT
fumecheng-7904	7	17	root	root	NOUN
fumecheng-7904	7	18	mean	mean	VERB
fumecheng-7904	7	19	squared	square	VERB
fumecheng-7904	7	20	percentage	percentage	NOUN
fumecheng-7904	7	21	error	error	NOUN
fumecheng-7904	7	22	,	,	PUNCT
fumecheng-7904	7	23	root	root	NOUN
fumecheng-7904	7	24	mean	mean	VERB
fumecheng-7904	7	25	squared	square	VERB
fumecheng-7904	7	26	logarithmic	logarithmic	ADJ
fumecheng-7904	7	27	error	error	NOUN
fumecheng-7904	7	28	,	,	PUNCT
fumecheng-7904	7	29	correlation	correlation	NOUN
fumecheng-7904	7	30	coefficient	coefficient	NOUN
fumecheng-7904	7	31	and	and	CCONJ
fumecheng-7904	7	32	root	root	VERB
fumecheng-7904	7	33	relative	relative	ADJ
fumecheng-7904	7	34	squared	square	VERB
fumecheng-7904	7	35	error	error	NOUN
fumecheng-7904	7	36	.	.	PUNCT
fumecheng-7904	8	1	it	it	PRON
fumecheng-7904	8	2	is	be	AUX
fumecheng-7904	8	3	observed	observe	VERB
fumecheng-7904	8	4	that	that	SCONJ
fumecheng-7904	8	5	the	the	DET
fumecheng-7904	8	6	rf	rf	NOUN
fumecheng-7904	8	7	regressor	regressor	NOUN
fumecheng-7904	8	8	can	can	AUX
fumecheng-7904	8	9	be	be	AUX
fumecheng-7904	8	10	deployed	deploy	VERB
fumecheng-7904	8	11	as	as	ADP
fumecheng-7904	8	12	an	an	DET
fumecheng-7904	8	13	effective	effective	ADJ
fumecheng-7904	8	14	prediction	prediction	NOUN
fumecheng-7904	8	15	tool	tool	NOUN
fumecheng-7904	8	16	with	with	ADP
fumecheng-7904	8	17	minimum	minimum	ADJ
fumecheng-7904	8	18	feature	feature	NOUN
fumecheng-7904	8	19	selection	selection	NOUN
fumecheng-7904	8	20	for	for	ADP
fumecheng-7904	8	21	any	any	PRON
fumecheng-7904	8	22	of	of	ADP
fumecheng-7904	8	23	the	the	DET
fumecheng-7904	8	24	machining	machining	NOUN
fumecheng-7904	8	25	processes	process	NOUN
fumecheng-7904	8	26	.	.	PUNCT
fumecheng-7904	9	1	key	key	ADJ
fumecheng-7904	9	2	words	word	NOUN
fumecheng-7904	9	3	:	:	PUNCT
fumecheng-7904	9	4	cnc	cnc	PROPN
fumecheng-7904	9	5	milling	milling	NOUN
fumecheng-7904	9	6	,	,	PUNCT
fumecheng-7904	9	7	random	random	ADJ
fumecheng-7904	9	8	forest	forest	NOUN
fumecheng-7904	9	9	regressor	regressor	NOUN
fumecheng-7904	9	10	,	,	PUNCT
fumecheng-7904	9	11	prediction	prediction	NOUN
fumecheng-7904	9	12	,	,	PUNCT
fumecheng-7904	9	13	decision	decision	NOUN
fumecheng-7904	9	14	tree	tree	NOUN
fumecheng-7904	9	15	1	1	NUM
fumecheng-7904	9	16	.	.	PUNCT
fumecheng-7904	9	17	introduction	introduction	NOUN
fumecheng-7904	9	18	in	in	ADP
fumecheng-7904	9	19	the	the	DET
fumecheng-7904	9	20	manufacturing	manufacturing	NOUN
fumecheng-7904	9	21	domain	domain	NOUN
fumecheng-7904	9	22	,	,	PUNCT
fumecheng-7904	9	23	machining	machining	NOUN
fumecheng-7904	9	24	is	be	AUX
fumecheng-7904	9	25	the	the	DET
fumecheng-7904	9	26	process	process	NOUN
fumecheng-7904	9	27	of	of	ADP
fumecheng-7904	9	28	removing	remove	VERB
fumecheng-7904	9	29	unwanted	unwanted	ADJ
fumecheng-7904	9	30	material	material	NOUN
fumecheng-7904	9	31	from	from	ADP
fumecheng-7904	9	32	a	a	DET
fumecheng-7904	9	33	given	give	VERB
fumecheng-7904	9	34	workpiece	workpiece	NOUN
fumecheng-7904	9	35	to	to	PART
fumecheng-7904	9	36	provide	provide	VERB
fumecheng-7904	9	37	the	the	DET
fumecheng-7904	9	38	desired	desire	VERB
fumecheng-7904	9	39	shape	shape	NOUN
fumecheng-7904	9	40	geometry	geometry	NOUN
fumecheng-7904	9	41	while	while	SCONJ
fumecheng-7904	9	42	fulfilling	fulfil	VERB
fumecheng-7904	9	43	the	the	DET
fumecheng-7904	9	44	requirements	requirement	NOUN
fumecheng-7904	9	45	of	of	ADP
fumecheng-7904	9	46	better	well	ADJ
fumecheng-7904	9	47	surface	surface	NOUN
fumecheng-7904	9	48	quality	quality	NOUN
fumecheng-7904	9	49	and	and	CCONJ
fumecheng-7904	9	50	close	close	ADJ
fumecheng-7904	9	51	dimensional	dimensional	ADJ
fumecheng-7904	9	52	tolerance	tolerance	NOUN
fumecheng-7904	9	53	.	.	PUNCT
fumecheng-7904	10	1	in	in	ADP
fumecheng-7904	10	2	the	the	DET
fumecheng-7904	10	3	milling	milling	NOUN
fumecheng-7904	10	4	process	process	NOUN
fumecheng-7904	10	5	,	,	PUNCT
fumecheng-7904	10	6	the	the	DET
fumecheng-7904	10	7	material	material	NOUN
fumecheng-7904	10	8	is	be	AUX
fumecheng-7904	10	9	removed	remove	VERB
fumecheng-7904	10	10	from	from	ADP
fumecheng-7904	10	11	the	the	DET
fumecheng-7904	10	12	workpiece	workpiece	NOUN
fumecheng-7904	10	13	with	with	ADP
fumecheng-7904	10	14	the	the	DET
fumecheng-7904	10	15	help	help	NOUN
fumecheng-7904	10	16	of	of	ADP
fumecheng-7904	10	17	an	an	DET
fumecheng-7904	10	18	advancing	advance	VERB
fumecheng-7904	10	19	multipleteeth	multipleteeth	ADJ
fumecheng-7904	10	20	cutter	cutter	NOUN
fumecheng-7904	10	21	.	.	PUNCT
fumecheng-7904	11	1	as	as	SCONJ
fumecheng-7904	11	2	the	the	DET
fumecheng-7904	11	3	milling	milling	NOUN
fumecheng-7904	11	4	cutter	cutter	NOUN
fumecheng-7904	11	5	enters	enter	VERB
fumecheng-7904	11	6	the	the	DET
fumecheng-7904	11	7	workpiece	workpiece	NOUN
fumecheng-7904	11	8	,	,	PUNCT
fumecheng-7904	11	9	its	its	PRON
fumecheng-7904	11	10	cutting	cut	VERB
fumecheng-7904	11	11	edges	edge	NOUN
fumecheng-7904	11	12	repeatedly	repeatedly	ADV
fumecheng-7904	11	13	cut	cut	VERB
fumecheng-7904	11	14	into	into	ADP
fumecheng-7904	11	15	and	and	CCONJ
fumecheng-7904	11	16	exit	exit	NOUN
fumecheng-7904	11	17	from	from	ADP
fumecheng-7904	11	18	the	the	DET
fumecheng-7904	11	19	materials	material	NOUN
fumecheng-7904	11	20	,	,	PUNCT
fumecheng-7904	11	21	removing	remove	VERB
fumecheng-7904	11	22	material	material	NOUN
fumecheng-7904	11	23	from	from	ADP
fumecheng-7904	11	24	the	the	DET
fumecheng-7904	11	25	workpiece	workpiece	NOUN
fumecheng-7904	11	26	with	with	ADP
fumecheng-7904	11	27	each	each	DET
fumecheng-7904	11	28	pass	pass	NOUN
fumecheng-7904	11	29	due	due	ADP
fumecheng-7904	11	30	to	to	ADP
fumecheng-7904	11	31	received	receive	VERB
fumecheng-7904	11	32	july	july	PROPN
fumecheng-7904	11	33	28	28	NUM
fumecheng-7904	11	34	,	,	PUNCT
fumecheng-7904	11	35	2021	2021	NUM
fumecheng-7904	11	36	/	/	PUNCT
fumecheng-7904	11	37	accepted	accept	VERB
fumecheng-7904	11	38	december	december	PROPN
fumecheng-7904	11	39	02	02	NUM
fumecheng-7904	11	40	,	,	PUNCT
fumecheng-7904	11	41	2021	2021	NUM
fumecheng-7904	11	42	corresponding	correspond	VERB
fumecheng-7904	11	43	author	author	NOUN
fumecheng-7904	11	44	:	:	PUNCT
fumecheng-7904	11	45	shankar	shankar	PROPN
fumecheng-7904	11	46	chakraborty	chakraborty	PROPN
fumecheng-7904	11	47	department	department	PROPN
fumecheng-7904	11	48	of	of	ADP
fumecheng-7904	11	49	production	production	PROPN
fumecheng-7904	11	50	engineering	engineering	NOUN
fumecheng-7904	11	51	,	,	PUNCT
fumecheng-7904	11	52	jadavpur	jadavpur	PROPN
fumecheng-7904	11	53	university	university	PROPN
fumecheng-7904	11	54	,	,	PUNCT
fumecheng-7904	11	55	kolkata	kolkata	PROPN
fumecheng-7904	11	56	,	,	PUNCT
fumecheng-7904	11	57	west	west	PROPN
fumecheng-7904	11	58	bengal	bengal	PROPN
fumecheng-7904	11	59	,	,	PUNCT
fumecheng-7904	11	60	india	india	PROPN
fumecheng-7904	11	61	.	.	PUNCT
fumecheng-7904	12	1	e	e	X
fumecheng-7904	12	2	-	-	NOUN
fumecheng-7904	12	3	mail	mail	NOUN
fumecheng-7904	12	4	:	:	PUNCT
fumecheng-7904	12	5	s_chakraborty00@yahoo.co.in	s_chakraborty00@yahoo.co.in	PROPN
fumecheng-7904	12	6	686	686	NUM
fumecheng-7904	12	7	s.	s.	PROPN
fumecheng-7904	12	8	bhattacharya	bhattacharya	PROPN
fumecheng-7904	12	9	,	,	PUNCT
fumecheng-7904	12	10	s.	s.	PROPN
fumecheng-7904	12	11	chakraborty	chakraborty	PROPN
fumecheng-7904	12	12	shear	shear	PROPN
fumecheng-7904	12	13	deformation	deformation	NOUN
fumecheng-7904	12	14	.	.	PUNCT
fumecheng-7904	13	1	the	the	DET
fumecheng-7904	13	2	milling	milling	NOUN
fumecheng-7904	13	3	operation	operation	NOUN
fumecheng-7904	13	4	generally	generally	ADV
fumecheng-7904	13	5	consists	consist	VERB
fumecheng-7904	13	6	of	of	ADP
fumecheng-7904	13	7	four	four	NUM
fumecheng-7904	13	8	indispensable	indispensable	ADJ
fumecheng-7904	13	9	components	component	NOUN
fumecheng-7904	13	10	,	,	PUNCT
fumecheng-7904	13	11	i.e.	i.e.	X
fumecheng-7904	13	12	milling	milling	NOUN
fumecheng-7904	13	13	machine	machine	NOUN
fumecheng-7904	13	14	,	,	PUNCT
fumecheng-7904	13	15	workpiece	workpiece	NOUN
fumecheng-7904	13	16	,	,	PUNCT
fumecheng-7904	13	17	fixture	fixture	NOUN
fumecheng-7904	13	18	and	and	CCONJ
fumecheng-7904	13	19	a	a	DET
fumecheng-7904	13	20	suitable	suitable	ADJ
fumecheng-7904	13	21	cutter	cutter	NOUN
fumecheng-7904	13	22	.	.	PUNCT
fumecheng-7904	14	1	from	from	ADP
fumecheng-7904	14	2	small	small	ADJ
fumecheng-7904	14	3	individual	individual	ADJ
fumecheng-7904	14	4	components	component	NOUN
fumecheng-7904	14	5	to	to	ADP
fumecheng-7904	14	6	large	large	ADJ
fumecheng-7904	14	7	heavy	heavy	ADJ
fumecheng-7904	14	8	-	-	PUNCT
fumecheng-7904	14	9	duty	duty	NOUN
fumecheng-7904	14	10	products	product	NOUN
fumecheng-7904	14	11	,	,	PUNCT
fumecheng-7904	14	12	the	the	DET
fumecheng-7904	14	13	paradigm	paradigm	NOUN
fumecheng-7904	14	14	of	of	ADP
fumecheng-7904	14	15	milling	milling	NOUN
fumecheng-7904	14	16	covers	cover	VERB
fumecheng-7904	14	17	a	a	DET
fumecheng-7904	14	18	wide	wide	ADJ
fumecheng-7904	14	19	variety	variety	NOUN
fumecheng-7904	14	20	of	of	ADP
fumecheng-7904	14	21	operations	operation	NOUN
fumecheng-7904	14	22	.	.	PUNCT
fumecheng-7904	15	1	based	base	VERB
fumecheng-7904	15	2	on	on	ADP
fumecheng-7904	15	3	the	the	DET
fumecheng-7904	15	4	motion	motion	NOUN
fumecheng-7904	15	5	of	of	ADP
fumecheng-7904	15	6	the	the	DET
fumecheng-7904	15	7	rotary	rotary	ADJ
fumecheng-7904	15	8	cutter	cutter	NOUN
fumecheng-7904	15	9	,	,	PUNCT
fumecheng-7904	15	10	milling	mill	VERB
fumecheng-7904	15	11	operations	operation	NOUN
fumecheng-7904	15	12	can	can	AUX
fumecheng-7904	15	13	largely	largely	ADV
fumecheng-7904	15	14	be	be	AUX
fumecheng-7904	15	15	divided	divide	VERB
fumecheng-7904	15	16	into	into	ADP
fumecheng-7904	15	17	two	two	NUM
fumecheng-7904	15	18	categories	category	NOUN
fumecheng-7904	15	19	,	,	PUNCT
fumecheng-7904	15	20	i.e.	i.e.	X
fumecheng-7904	15	21	face	face	NOUN
fumecheng-7904	15	22	milling	milling	NOUN
fumecheng-7904	15	23	and	and	CCONJ
fumecheng-7904	15	24	peripheral	peripheral	ADJ
fumecheng-7904	15	25	milling	milling	NOUN
fumecheng-7904	15	26	.	.	PUNCT
fumecheng-7904	16	1	in	in	ADP
fumecheng-7904	16	2	the	the	DET
fumecheng-7904	16	3	face	face	NOUN
fumecheng-7904	16	4	milling	milling	NOUN
fumecheng-7904	16	5	,	,	PUNCT
fumecheng-7904	16	6	the	the	DET
fumecheng-7904	16	7	rotary	rotary	ADJ
fumecheng-7904	16	8	cutter	cutter	NOUN
fumecheng-7904	16	9	is	be	AUX
fumecheng-7904	16	10	placed	place	VERB
fumecheng-7904	16	11	perpendicular	perpendicular	ADJ
fumecheng-7904	16	12	to	to	ADP
fumecheng-7904	16	13	the	the	DET
fumecheng-7904	16	14	workpiece	workpiece	NOUN
fumecheng-7904	16	15	while	while	SCONJ
fumecheng-7904	16	16	generating	generate	VERB
fumecheng-7904	16	17	a	a	DET
fumecheng-7904	16	18	surface	surface	NOUN
fumecheng-7904	16	19	normal	normal	ADJ
fumecheng-7904	16	20	to	to	ADP
fumecheng-7904	16	21	the	the	DET
fumecheng-7904	16	22	axis	axis	NOUN
fumecheng-7904	16	23	of	of	ADP
fumecheng-7904	16	24	rotation	rotation	NOUN
fumecheng-7904	16	25	[	[	X
fumecheng-7904	16	26	1	1	NUM
fumecheng-7904	16	27	]	]	PUNCT
fumecheng-7904	16	28	.	.	PUNCT
fumecheng-7904	17	1	on	on	ADP
fumecheng-7904	17	2	the	the	DET
fumecheng-7904	17	3	other	other	ADJ
fumecheng-7904	17	4	hand	hand	NOUN
fumecheng-7904	17	5	,	,	PUNCT
fumecheng-7904	17	6	in	in	ADP
fumecheng-7904	17	7	the	the	DET
fumecheng-7904	17	8	peripheral	peripheral	ADJ
fumecheng-7904	17	9	milling	milling	NOUN
fumecheng-7904	17	10	,	,	PUNCT
fumecheng-7904	17	11	the	the	DET
fumecheng-7904	17	12	cutter	cutter	NOUN
fumecheng-7904	17	13	is	be	AUX
fumecheng-7904	17	14	placed	place	VERB
fumecheng-7904	17	15	parallel	parallel	ADJ
fumecheng-7904	17	16	to	to	ADP
fumecheng-7904	17	17	the	the	DET
fumecheng-7904	17	18	workpiece	workpiece	NOUN
fumecheng-7904	17	19	so	so	SCONJ
fumecheng-7904	17	20	that	that	SCONJ
fumecheng-7904	17	21	its	its	PRON
fumecheng-7904	17	22	sides	side	NOUN
fumecheng-7904	17	23	always	always	ADV
fumecheng-7904	17	24	come	come	VERB
fumecheng-7904	17	25	into	into	ADP
fumecheng-7904	17	26	contact	contact	NOUN
fumecheng-7904	17	27	with	with	ADP
fumecheng-7904	17	28	the	the	DET
fumecheng-7904	17	29	top	top	NOUN
fumecheng-7904	17	30	of	of	ADP
fumecheng-7904	17	31	the	the	DET
fumecheng-7904	17	32	workpiece	workpiece	NOUN
fumecheng-7904	17	33	.	.	PUNCT
fumecheng-7904	18	1	a	a	DET
fumecheng-7904	18	2	large	large	ADJ
fumecheng-7904	18	3	variety	variety	NOUN
fumecheng-7904	18	4	of	of	ADP
fumecheng-7904	18	5	materials	material	NOUN
fumecheng-7904	18	6	,	,	PUNCT
fumecheng-7904	18	7	like	like	ADP
fumecheng-7904	18	8	aluminum	aluminum	NOUN
fumecheng-7904	18	9	,	,	PUNCT
fumecheng-7904	18	10	brass	brass	NOUN
fumecheng-7904	18	11	,	,	PUNCT
fumecheng-7904	18	12	magnesium	magnesium	NOUN
fumecheng-7904	18	13	,	,	PUNCT
fumecheng-7904	18	14	nickel	nickel	NOUN
fumecheng-7904	18	15	,	,	PUNCT
fumecheng-7904	18	16	steel	steel	NOUN
fumecheng-7904	18	17	,	,	PUNCT
fumecheng-7904	18	18	zinc	zinc	NOUN
fumecheng-7904	18	19	etc	etc	X
fumecheng-7904	18	20	.	.	X
fumecheng-7904	18	21	can	can	AUX
fumecheng-7904	18	22	be	be	AUX
fumecheng-7904	18	23	machined	machine	VERB
fumecheng-7904	18	24	in	in	ADP
fumecheng-7904	18	25	conventional	conventional	ADJ
fumecheng-7904	18	26	milling	milling	NOUN
fumecheng-7904	18	27	machines	machine	NOUN
fumecheng-7904	18	28	;	;	PUNCT
fumecheng-7904	18	29	but	but	CCONJ
fumecheng-7904	18	30	when	when	SCONJ
fumecheng-7904	18	31	high	high	ADJ
fumecheng-7904	18	32	precision	precision	NOUN
fumecheng-7904	18	33	and	and	CCONJ
fumecheng-7904	18	34	close	close	ADJ
fumecheng-7904	18	35	dimensional	dimensional	ADJ
fumecheng-7904	18	36	tolerance	tolerance	NOUN
fumecheng-7904	18	37	are	be	AUX
fumecheng-7904	18	38	required	require	VERB
fumecheng-7904	18	39	,	,	PUNCT
fumecheng-7904	18	40	computer	computer	NOUN
fumecheng-7904	18	41	numerical	numerical	PROPN
fumecheng-7904	18	42	control	control	PROPN
fumecheng-7904	18	43	(	(	PUNCT
fumecheng-7904	18	44	cnc	cnc	PROPN
fumecheng-7904	18	45	)	)	PUNCT
fumecheng-7904	18	46	milling	milling	NOUN
fumecheng-7904	18	47	machines	machine	NOUN
fumecheng-7904	18	48	may	may	AUX
fumecheng-7904	18	49	be	be	AUX
fumecheng-7904	18	50	employed	employ	VERB
fumecheng-7904	18	51	.	.	PUNCT
fumecheng-7904	19	1	as	as	SCONJ
fumecheng-7904	19	2	the	the	DET
fumecheng-7904	19	3	dynamic	dynamic	ADJ
fumecheng-7904	19	4	nature	nature	NOUN
fumecheng-7904	19	5	of	of	ADP
fumecheng-7904	19	6	the	the	DET
fumecheng-7904	19	7	face	face	NOUN
fumecheng-7904	19	8	milling	milling	NOUN
fumecheng-7904	19	9	operation	operation	NOUN
fumecheng-7904	19	10	requires	require	VERB
fumecheng-7904	19	11	close	close	ADJ
fumecheng-7904	19	12	control	control	NOUN
fumecheng-7904	19	13	,	,	PUNCT
fumecheng-7904	19	14	investigation	investigation	NOUN
fumecheng-7904	19	15	of	of	ADP
fumecheng-7904	19	16	the	the	DET
fumecheng-7904	19	17	material	material	NOUN
fumecheng-7904	19	18	removal	removal	NOUN
fumecheng-7904	19	19	mechanism	mechanism	NOUN
fumecheng-7904	19	20	,	,	PUNCT
fumecheng-7904	19	21	modeling	modeling	NOUN
fumecheng-7904	19	22	of	of	ADP
fumecheng-7904	19	23	the	the	DET
fumecheng-7904	19	24	interrelationship	interrelationship	NOUN
fumecheng-7904	19	25	between	between	ADP
fumecheng-7904	19	26	the	the	DET
fumecheng-7904	19	27	milling	milling	NOUN
fumecheng-7904	19	28	parameters	parameter	NOUN
fumecheng-7904	19	29	and	and	CCONJ
fumecheng-7904	19	30	responses	response	NOUN
fumecheng-7904	19	31	,	,	PUNCT
fumecheng-7904	19	32	prediction	prediction	NOUN
fumecheng-7904	19	33	of	of	ADP
fumecheng-7904	19	34	the	the	DET
fumecheng-7904	19	35	responses	response	NOUN
fumecheng-7904	19	36	and	and	CCONJ
fumecheng-7904	19	37	optimization	optimization	NOUN
fumecheng-7904	19	38	of	of	ADP
fumecheng-7904	19	39	the	the	DET
fumecheng-7904	19	40	process	process	NOUN
fumecheng-7904	19	41	have	have	AUX
fumecheng-7904	19	42	been	be	AUX
fumecheng-7904	19	43	found	find	VERB
fumecheng-7904	19	44	to	to	PART
fumecheng-7904	19	45	be	be	AUX
fumecheng-7904	19	46	of	of	ADP
fumecheng-7904	19	47	utmost	utmost	ADJ
fumecheng-7904	19	48	importance	importance	NOUN
fumecheng-7904	20	1	[	[	X
fumecheng-7904	20	2	2	2	NUM
fumecheng-7904	20	3	]	]	PUNCT
fumecheng-7904	20	4	.	.	PUNCT
fumecheng-7904	21	1	like	like	ADP
fumecheng-7904	21	2	all	all	DET
fumecheng-7904	21	3	other	other	ADJ
fumecheng-7904	21	4	machining	machining	NOUN
fumecheng-7904	21	5	operations	operation	NOUN
fumecheng-7904	21	6	,	,	PUNCT
fumecheng-7904	21	7	the	the	DET
fumecheng-7904	21	8	process	process	NOUN
fumecheng-7904	21	9	outputs	output	NOUN
fumecheng-7904	21	10	(	(	PUNCT
fumecheng-7904	21	11	responses	response	NOUN
fumecheng-7904	21	12	)	)	PUNCT
fumecheng-7904	21	13	of	of	ADP
fumecheng-7904	21	14	a	a	DET
fumecheng-7904	21	15	face	face	NOUN
fumecheng-7904	21	16	milling	mill	VERB
fumecheng-7904	21	17	operation	operation	NOUN
fumecheng-7904	21	18	,	,	PUNCT
fumecheng-7904	21	19	like	like	ADP
fumecheng-7904	21	20	material	material	NOUN
fumecheng-7904	21	21	removal	removal	NOUN
fumecheng-7904	21	22	rate	rate	NOUN
fumecheng-7904	21	23	(	(	PUNCT
fumecheng-7904	21	24	mrr	mrr	PROPN
fumecheng-7904	21	25	)	)	PUNCT
fumecheng-7904	21	26	,	,	PUNCT
fumecheng-7904	21	27	average	average	ADJ
fumecheng-7904	21	28	surface	surface	NOUN
fumecheng-7904	21	29	roughness	roughness	NOUN
fumecheng-7904	21	30	(	(	PUNCT
fumecheng-7904	21	31	ra	ra	NOUN
fumecheng-7904	21	32	)	)	PUNCT
fumecheng-7904	21	33	,	,	PUNCT
fumecheng-7904	21	34	directional	directional	ADJ
fumecheng-7904	21	35	cutting	cutting	NOUN
fumecheng-7904	21	36	force	force	NOUN
fumecheng-7904	21	37	(	(	PUNCT
fumecheng-7904	21	38	fc	fc	INTJ
fumecheng-7904	21	39	)	)	PUNCT
fumecheng-7904	21	40	,	,	PUNCT
fumecheng-7904	21	41	active	active	ADJ
fumecheng-7904	21	42	energy	energy	NOUN
fumecheng-7904	21	43	consumption	consumption	NOUN
fumecheng-7904	21	44	(	(	PUNCT
fumecheng-7904	21	45	aec	aec	PROPN
fumecheng-7904	21	46	)	)	PUNCT
fumecheng-7904	21	47	etc	etc	X
fumecheng-7904	21	48	.	.	X
fumecheng-7904	21	49	are	be	AUX
fumecheng-7904	21	50	also	also	ADV
fumecheng-7904	21	51	observed	observe	VERB
fumecheng-7904	21	52	to	to	PART
fumecheng-7904	21	53	be	be	AUX
fumecheng-7904	21	54	influenced	influence	VERB
fumecheng-7904	21	55	by	by	ADP
fumecheng-7904	21	56	its	its	PRON
fumecheng-7904	21	57	various	various	ADJ
fumecheng-7904	21	58	input	input	NOUN
fumecheng-7904	21	59	parameters	parameter	NOUN
fumecheng-7904	21	60	,	,	PUNCT
fumecheng-7904	21	61	such	such	ADJ
fumecheng-7904	21	62	as	as	ADP
fumecheng-7904	21	63	spindle	spindle	NOUN
fumecheng-7904	21	64	speed	speed	NOUN
fumecheng-7904	21	65	(	(	PUNCT
fumecheng-7904	21	66	s	s	NOUN
fumecheng-7904	21	67	)	)	PUNCT
fumecheng-7904	21	68	,	,	PUNCT
fumecheng-7904	21	69	cutting	cut	VERB
fumecheng-7904	21	70	speed	speed	NOUN
fumecheng-7904	21	71	(	(	PUNCT
fumecheng-7904	21	72	n	n	CCONJ
fumecheng-7904	21	73	)	)	PUNCT
fumecheng-7904	21	74	,	,	PUNCT
fumecheng-7904	21	75	depth	depth	NOUN
fumecheng-7904	21	76	of	of	ADP
fumecheng-7904	21	77	cut	cut	NOUN
fumecheng-7904	21	78	(	(	PUNCT
fumecheng-7904	21	79	ap	ap	PROPN
fumecheng-7904	21	80	)	)	PUNCT
fumecheng-7904	21	81	,	,	PUNCT
fumecheng-7904	21	82	width	width	NOUN
fumecheng-7904	21	83	of	of	ADP
fumecheng-7904	21	84	cut	cut	NOUN
fumecheng-7904	21	85	(	(	PUNCT
fumecheng-7904	21	86	ae	ae	PROPN
fumecheng-7904	21	87	)	)	PUNCT
fumecheng-7904	21	88	,	,	PUNCT
fumecheng-7904	21	89	feed	feed	NOUN
fumecheng-7904	21	90	rate	rate	NOUN
fumecheng-7904	21	91	(	(	PUNCT
fumecheng-7904	21	92	f	f	NOUN
fumecheng-7904	21	93	)	)	PUNCT
fumecheng-7904	21	94	,	,	PUNCT
fumecheng-7904	21	95	cutting	cut	VERB
fumecheng-7904	21	96	power	power	NOUN
fumecheng-7904	21	97	,	,	PUNCT
fumecheng-7904	21	98	etc	etc	X
fumecheng-7904	21	99	.	.	X
fumecheng-7904	22	1	these	these	DET
fumecheng-7904	22	2	process	process	NOUN
fumecheng-7904	22	3	outputs	output	NOUN
fumecheng-7904	22	4	usually	usually	ADV
fumecheng-7904	22	5	determine	determine	VERB
fumecheng-7904	22	6	the	the	DET
fumecheng-7904	22	7	quality	quality	NOUN
fumecheng-7904	22	8	of	of	ADP
fumecheng-7904	22	9	the	the	DET
fumecheng-7904	22	10	end	end	NOUN
fumecheng-7904	22	11	products	product	NOUN
fumecheng-7904	22	12	in	in	ADP
fumecheng-7904	22	13	order	order	NOUN
fumecheng-7904	22	14	to	to	PART
fumecheng-7904	22	15	satisfy	satisfy	VERB
fumecheng-7904	22	16	the	the	DET
fumecheng-7904	22	17	consumers	consumer	NOUN
fumecheng-7904	22	18	’	’	PART
fumecheng-7904	22	19	requirements	requirement	NOUN
fumecheng-7904	22	20	.	.	PUNCT
fumecheng-7904	23	1	for	for	ADP
fumecheng-7904	23	2	this	this	DET
fumecheng-7904	23	3	reason	reason	NOUN
fumecheng-7904	23	4	,	,	PUNCT
fumecheng-7904	23	5	it	it	PRON
fumecheng-7904	23	6	has	have	AUX
fumecheng-7904	23	7	become	become	VERB
fumecheng-7904	23	8	essential	essential	ADJ
fumecheng-7904	23	9	for	for	ADP
fumecheng-7904	23	10	the	the	DET
fumecheng-7904	23	11	designer	designer	NOUN
fumecheng-7904	23	12	/	/	SYM
fumecheng-7904	23	13	process	process	NOUN
fumecheng-7904	23	14	engineer	engineer	NOUN
fumecheng-7904	23	15	to	to	PART
fumecheng-7904	23	16	have	have	VERB
fumecheng-7904	23	17	a	a	DET
fumecheng-7904	23	18	close	close	ADJ
fumecheng-7904	23	19	control	control	NOUN
fumecheng-7904	23	20	and	and	CCONJ
fumecheng-7904	23	21	better	well	ADJ
fumecheng-7904	23	22	understanding	understanding	NOUN
fumecheng-7904	23	23	of	of	ADP
fumecheng-7904	23	24	various	various	ADJ
fumecheng-7904	23	25	milling	milling	NOUN
fumecheng-7904	23	26	parameters	parameter	NOUN
fumecheng-7904	23	27	along	along	ADP
fumecheng-7904	23	28	with	with	ADP
fumecheng-7904	23	29	their	their	PRON
fumecheng-7904	23	30	interactions	interaction	NOUN
fumecheng-7904	23	31	with	with	ADP
fumecheng-7904	23	32	the	the	DET
fumecheng-7904	23	33	responses	response	NOUN
fumecheng-7904	23	34	.	.	PUNCT
fumecheng-7904	24	1	based	base	VERB
fumecheng-7904	24	2	on	on	ADP
fumecheng-7904	24	3	the	the	DET
fumecheng-7904	24	4	available	available	ADJ
fumecheng-7904	24	5	experimental	experimental	ADJ
fumecheng-7904	24	6	dataset	dataset	NOUN
fumecheng-7904	24	7	,	,	PUNCT
fumecheng-7904	24	8	these	these	DET
fumecheng-7904	24	9	interrelationships	interrelationship	NOUN
fumecheng-7904	24	10	between	between	ADP
fumecheng-7904	24	11	the	the	DET
fumecheng-7904	24	12	milling	milling	NOUN
fumecheng-7904	24	13	parameters	parameter	NOUN
fumecheng-7904	24	14	and	and	CCONJ
fumecheng-7904	24	15	responses	response	NOUN
fumecheng-7904	24	16	can	can	AUX
fumecheng-7904	24	17	be	be	AUX
fumecheng-7904	24	18	effectively	effectively	ADV
fumecheng-7904	24	19	modeled	model	VERB
fumecheng-7904	24	20	with	with	ADP
fumecheng-7904	24	21	the	the	DET
fumecheng-7904	24	22	help	help	NOUN
fumecheng-7904	24	23	of	of	ADP
fumecheng-7904	24	24	various	various	ADJ
fumecheng-7904	24	25	statistical	statistical	ADJ
fumecheng-7904	24	26	and	and	CCONJ
fumecheng-7904	24	27	machine	machine	NOUN
fumecheng-7904	24	28	learning	learn	VERB
fumecheng-7904	24	29	techniques	technique	NOUN
fumecheng-7904	24	30	[	[	X
fumecheng-7904	24	31	3	3	NUM
fumecheng-7904	24	32	]	]	PUNCT
fumecheng-7904	24	33	.	.	PUNCT
fumecheng-7904	25	1	the	the	DET
fumecheng-7904	25	2	developed	develop	VERB
fumecheng-7904	25	3	models	model	NOUN
fumecheng-7904	25	4	would	would	AUX
fumecheng-7904	25	5	also	also	ADV
fumecheng-7904	25	6	act	act	VERB
fumecheng-7904	25	7	as	as	ADP
fumecheng-7904	25	8	the	the	DET
fumecheng-7904	25	9	prediction	prediction	NOUN
fumecheng-7904	25	10	tools	tool	NOUN
fumecheng-7904	25	11	to	to	PART
fumecheng-7904	25	12	envisage	envisage	VERB
fumecheng-7904	25	13	the	the	DET
fumecheng-7904	25	14	tentative	tentative	ADJ
fumecheng-7904	25	15	values	value	NOUN
fumecheng-7904	25	16	of	of	ADP
fumecheng-7904	25	17	the	the	DET
fumecheng-7904	25	18	considered	consider	VERB
fumecheng-7904	25	19	responses	response	NOUN
fumecheng-7904	25	20	for	for	ADP
fumecheng-7904	25	21	the	the	DET
fumecheng-7904	25	22	given	give	VERB
fumecheng-7904	25	23	sets	set	NOUN
fumecheng-7904	25	24	of	of	ADP
fumecheng-7904	25	25	different	different	ADJ
fumecheng-7904	25	26	milling	milling	NOUN
fumecheng-7904	25	27	parameters	parameter	NOUN
fumecheng-7904	25	28	.	.	PUNCT
fumecheng-7904	26	1	the	the	DET
fumecheng-7904	26	2	main	main	ADJ
fumecheng-7904	26	3	advantage	advantage	NOUN
fumecheng-7904	26	4	of	of	ADP
fumecheng-7904	26	5	machine	machine	NOUN
fumecheng-7904	26	6	learning	learn	VERB
fumecheng-7904	26	7	techniques	technique	NOUN
fumecheng-7904	26	8	lies	lie	VERB
fumecheng-7904	26	9	with	with	ADP
fumecheng-7904	26	10	their	their	PRON
fumecheng-7904	26	11	ability	ability	NOUN
fumecheng-7904	26	12	to	to	PART
fumecheng-7904	26	13	solve	solve	VERB
fumecheng-7904	26	14	complex	complex	ADJ
fumecheng-7904	26	15	problems	problem	NOUN
fumecheng-7904	26	16	while	while	SCONJ
fumecheng-7904	26	17	reducing	reduce	VERB
fumecheng-7904	26	18	the	the	DET
fumecheng-7904	26	19	complicacy	complicacy	NOUN
fumecheng-7904	26	20	of	of	ADP
fumecheng-7904	26	21	the	the	DET
fumecheng-7904	26	22	dataset	dataset	NOUN
fumecheng-7904	26	23	and	and	CCONJ
fumecheng-7904	26	24	making	make	VERB
fumecheng-7904	26	25	the	the	DET
fumecheng-7904	26	26	models	model	NOUN
fumecheng-7904	26	27	more	more	ADV
fumecheng-7904	26	28	interpretable	interpretable	ADJ
fumecheng-7904	26	29	[	[	X
fumecheng-7904	26	30	4	4	NUM
fumecheng-7904	26	31	]	]	PUNCT
fumecheng-7904	26	32	.	.	PUNCT
fumecheng-7904	27	1	with	with	ADP
fumecheng-7904	27	2	the	the	DET
fumecheng-7904	27	3	help	help	NOUN
fumecheng-7904	27	4	of	of	ADP
fumecheng-7904	27	5	these	these	DET
fumecheng-7904	27	6	techniques	technique	NOUN
fumecheng-7904	27	7	,	,	PUNCT
fumecheng-7904	27	8	predictive	predictive	ADJ
fumecheng-7904	27	9	monitoring	monitoring	NOUN
fumecheng-7904	27	10	of	of	ADP
fumecheng-7904	27	11	the	the	DET
fumecheng-7904	27	12	process	process	NOUN
fumecheng-7904	27	13	outputs	output	NOUN
fumecheng-7904	27	14	has	have	AUX
fumecheng-7904	27	15	become	become	VERB
fumecheng-7904	27	16	easier	easy	ADJ
fumecheng-7904	27	17	,	,	PUNCT
fumecheng-7904	27	18	while	while	SCONJ
fumecheng-7904	27	19	integrating	integrate	VERB
fumecheng-7904	27	20	customers	customer	NOUN
fumecheng-7904	27	21	’	’	PART
fumecheng-7904	27	22	demands	demand	NOUN
fumecheng-7904	27	23	and	and	CCONJ
fumecheng-7904	27	24	taking	take	VERB
fumecheng-7904	27	25	care	care	NOUN
fumecheng-7904	27	26	of	of	ADP
fumecheng-7904	27	27	other	other	ADJ
fumecheng-7904	27	28	external	external	ADJ
fumecheng-7904	27	29	factors	factor	NOUN
fumecheng-7904	27	30	affecting	affect	VERB
fumecheng-7904	27	31	the	the	DET
fumecheng-7904	27	32	process	process	NOUN
fumecheng-7904	27	33	under	under	ADP
fumecheng-7904	27	34	consideration	consideration	NOUN
fumecheng-7904	27	35	[	[	X
fumecheng-7904	27	36	5	5	NUM
fumecheng-7904	27	37	]	]	PUNCT
fumecheng-7904	27	38	.	.	PUNCT
fumecheng-7904	28	1	they	they	PRON
fumecheng-7904	28	2	also	also	ADV
fumecheng-7904	28	3	provide	provide	VERB
fumecheng-7904	28	4	a	a	DET
fumecheng-7904	28	5	broader	broad	ADJ
fumecheng-7904	28	6	scope	scope	NOUN
fumecheng-7904	28	7	for	for	ADP
fumecheng-7904	28	8	continuous	continuous	ADJ
fumecheng-7904	28	9	improvement	improvement	NOUN
fumecheng-7904	28	10	while	while	SCONJ
fumecheng-7904	28	11	automating	automate	VERB
fumecheng-7904	28	12	the	the	DET
fumecheng-7904	28	13	related	relate	VERB
fumecheng-7904	28	14	decision	decision	NOUN
fumecheng-7904	28	15	-	-	PUNCT
fumecheng-7904	28	16	making	make	VERB
fumecheng-7904	28	17	tasks	task	NOUN
fumecheng-7904	28	18	by	by	ADP
fumecheng-7904	28	19	efficiently	efficiently	ADV
fumecheng-7904	28	20	manipulating	manipulate	VERB
fumecheng-7904	28	21	the	the	DET
fumecheng-7904	28	22	huge	huge	ADJ
fumecheng-7904	28	23	volume	volume	NOUN
fumecheng-7904	28	24	of	of	ADP
fumecheng-7904	28	25	available	available	ADJ
fumecheng-7904	28	26	dataset	dataset	NOUN
fumecheng-7904	28	27	.	.	PUNCT
fumecheng-7904	29	1	there	there	PRON
fumecheng-7904	29	2	are	be	VERB
fumecheng-7904	29	3	mainly	mainly	ADV
fumecheng-7904	29	4	two	two	NUM
fumecheng-7904	29	5	types	type	NOUN
fumecheng-7904	29	6	of	of	ADP
fumecheng-7904	29	7	machine	machine	NOUN
fumecheng-7904	29	8	learning	learn	VERB
fumecheng-7904	29	9	techniques	technique	NOUN
fumecheng-7904	29	10	,	,	PUNCT
fumecheng-7904	29	11	i.e.	i.e.	X
fumecheng-7904	29	12	supervised	supervised	ADJ
fumecheng-7904	29	13	machine	machine	NOUN
fumecheng-7904	29	14	learning	learning	NOUN
fumecheng-7904	29	15	and	and	CCONJ
fumecheng-7904	29	16	unsupervised	unsupervised	ADJ
fumecheng-7904	29	17	machine	machine	NOUN
fumecheng-7904	29	18	learning	learning	NOUN
fumecheng-7904	29	19	.	.	PUNCT
fumecheng-7904	30	1	in	in	ADP
fumecheng-7904	30	2	supervised	supervised	ADJ
fumecheng-7904	30	3	learning	learning	NOUN
fumecheng-7904	30	4	technique	technique	NOUN
fumecheng-7904	30	5	,	,	PUNCT
fumecheng-7904	30	6	the	the	DET
fumecheng-7904	30	7	learning	learning	NOUN
fumecheng-7904	30	8	algorithm	algorithm	NOUN
fumecheng-7904	30	9	is	be	AUX
fumecheng-7904	30	10	usually	usually	ADV
fumecheng-7904	30	11	trained	train	VERB
fumecheng-7904	30	12	on	on	ADP
fumecheng-7904	30	13	the	the	DET
fumecheng-7904	30	14	basis	basis	NOUN
fumecheng-7904	30	15	of	of	ADP
fumecheng-7904	30	16	labeled	label	VERB
fumecheng-7904	30	17	data	datum	NOUN
fumecheng-7904	30	18	,	,	PUNCT
fumecheng-7904	30	19	and	and	CCONJ
fumecheng-7904	30	20	when	when	SCONJ
fumecheng-7904	30	21	the	the	DET
fumecheng-7904	30	22	training	training	NOUN
fumecheng-7904	30	23	data	datum	NOUN
fumecheng-7904	30	24	are	be	AUX
fumecheng-7904	30	25	not	not	PART
fumecheng-7904	30	26	labeled	label	VERB
fumecheng-7904	30	27	,	,	PUNCT
fumecheng-7904	30	28	it	it	PRON
fumecheng-7904	30	29	is	be	AUX
fumecheng-7904	30	30	called	call	VERB
fumecheng-7904	30	31	unsupervised	unsupervised	ADJ
fumecheng-7904	30	32	learning	learning	NOUN
fumecheng-7904	30	33	technique	technique	NOUN
fumecheng-7904	30	34	.	.	PUNCT
fumecheng-7904	31	1	classification	classification	NOUN
fumecheng-7904	31	2	and	and	CCONJ
fumecheng-7904	31	3	regression	regression	NOUN
fumecheng-7904	31	4	are	be	AUX
fumecheng-7904	31	5	the	the	DET
fumecheng-7904	31	6	two	two	NUM
fumecheng-7904	31	7	popular	popular	ADJ
fumecheng-7904	31	8	examples	example	NOUN
fumecheng-7904	31	9	of	of	ADP
fumecheng-7904	31	10	supervised	supervised	ADJ
fumecheng-7904	31	11	learning	learning	NOUN
fumecheng-7904	31	12	technique	technique	NOUN
fumecheng-7904	31	13	,	,	PUNCT
fumecheng-7904	31	14	while	while	SCONJ
fumecheng-7904	31	15	unsupervised	unsupervised	ADJ
fumecheng-7904	31	16	learning	learning	NOUN
fumecheng-7904	31	17	technique	technique	NOUN
fumecheng-7904	31	18	primarily	primarily	ADV
fumecheng-7904	31	19	encompasses	encompass	VERB
fumecheng-7904	31	20	clustering	clustering	NOUN
fumecheng-7904	31	21	and	and	CCONJ
fumecheng-7904	31	22	association	association	NOUN
fumecheng-7904	31	23	.	.	PUNCT
fumecheng-7904	32	1	in	in	ADP
fumecheng-7904	32	2	general	general	ADJ
fumecheng-7904	32	3	terms	term	NOUN
fumecheng-7904	32	4	,	,	PUNCT
fumecheng-7904	32	5	regression	regression	VERB
fumecheng-7904	32	6	deals	deal	NOUN
fumecheng-7904	32	7	with	with	ADP
fumecheng-7904	32	8	quantitative	quantitative	ADJ
fumecheng-7904	32	9	anticipation	anticipation	NOUN
fumecheng-7904	32	10	of	of	ADP
fumecheng-7904	32	11	the	the	DET
fumecheng-7904	32	12	responses	response	NOUN
fumecheng-7904	32	13	,	,	PUNCT
fumecheng-7904	32	14	whereas	whereas	SCONJ
fumecheng-7904	32	15	,	,	PUNCT
fumecheng-7904	32	16	prediction	prediction	NOUN
fumecheng-7904	32	17	of	of	ADP
fumecheng-7904	32	18	a	a	DET
fumecheng-7904	32	19	qualitative	qualitative	ADJ
fumecheng-7904	32	20	response	response	NOUN
fumecheng-7904	32	21	is	be	AUX
fumecheng-7904	32	22	termed	term	VERB
fumecheng-7904	32	23	as	as	ADP
fumecheng-7904	32	24	classification	classification	NOUN
fumecheng-7904	32	25	.	.	PUNCT
fumecheng-7904	33	1	in	in	ADP
fumecheng-7904	33	2	real	real	ADJ
fumecheng-7904	33	3	time	time	NOUN
fumecheng-7904	33	4	manufacturing	manufacturing	NOUN
fumecheng-7904	33	5	environment	environment	NOUN
fumecheng-7904	33	6	,	,	PUNCT
fumecheng-7904	33	7	supervised	supervise	VERB
fumecheng-7904	33	8	learning	learning	NOUN
fumecheng-7904	33	9	algorithms	algorithm	NOUN
fumecheng-7904	33	10	are	be	AUX
fumecheng-7904	33	11	usually	usually	ADV
fumecheng-7904	33	12	preferred	prefer	VERB
fumecheng-7904	33	13	due	due	ADP
fumecheng-7904	33	14	to	to	ADP
fumecheng-7904	33	15	availability	availability	NOUN
fumecheng-7904	33	16	of	of	ADP
fumecheng-7904	33	17	huge	huge	ADJ
fumecheng-7904	33	18	experimental	experimental	ADJ
fumecheng-7904	33	19	datasets	dataset	NOUN
fumecheng-7904	33	20	which	which	PRON
fumecheng-7904	33	21	would	would	AUX
fumecheng-7904	33	22	finally	finally	ADV
fumecheng-7904	33	23	help	help	VERB
fumecheng-7904	33	24	in	in	ADP
fumecheng-7904	33	25	quantitative	quantitative	ADJ
fumecheng-7904	33	26	prediction	prediction	NOUN
fumecheng-7904	33	27	of	of	ADP
fumecheng-7904	33	28	different	different	ADJ
fumecheng-7904	33	29	responses	response	NOUN
fumecheng-7904	33	30	based	base	VERB
fumecheng-7904	33	31	on	on	ADP
fumecheng-7904	33	32	the	the	DET
fumecheng-7904	33	33	given	give	VERB
fumecheng-7904	33	34	sets	set	NOUN
fumecheng-7904	33	35	of	of	ADP
fumecheng-7904	33	36	various	various	ADJ
fumecheng-7904	33	37	machining	machining	NOUN
fumecheng-7904	33	38	parameters	parameter	NOUN
fumecheng-7904	33	39	.	.	PUNCT
fumecheng-7904	34	1	in	in	ADP
fumecheng-7904	34	2	the	the	DET
fumecheng-7904	34	3	domain	domain	NOUN
fumecheng-7904	34	4	of	of	ADP
fumecheng-7904	34	5	milling	milling	NOUN
fumecheng-7904	34	6	operation	operation	NOUN
fumecheng-7904	34	7	,	,	PUNCT
fumecheng-7904	34	8	the	the	DET
fumecheng-7904	34	9	past	past	ADJ
fumecheng-7904	34	10	researchers	researcher	NOUN
fumecheng-7904	34	11	have	have	AUX
fumecheng-7904	34	12	already	already	ADV
fumecheng-7904	34	13	applied	apply	VERB
fumecheng-7904	34	14	various	various	ADJ
fumecheng-7904	34	15	statistical	statistical	ADJ
fumecheng-7904	34	16	and	and	CCONJ
fumecheng-7904	34	17	machine	machine	NOUN
fumecheng-7904	34	18	learning	learn	VERB
fumecheng-7904	34	19	techniques	technique	NOUN
fumecheng-7904	34	20	,	,	PUNCT
fumecheng-7904	34	21	mainly	mainly	ADV
fumecheng-7904	34	22	in	in	ADP
fumecheng-7904	34	23	the	the	DET
fumecheng-7904	34	24	form	form	NOUN
fumecheng-7904	34	25	of	of	ADP
fumecheng-7904	34	26	linear	linear	PROPN
fumecheng-7904	34	27	regression	regression	NOUN
fumecheng-7904	34	28	,	,	PUNCT
fumecheng-7904	34	29	k	k	X
fumecheng-7904	34	30	-	-	PUNCT
fumecheng-7904	34	31	nearest	near	ADJ
fumecheng-7904	34	32	neighbors	neighbor	NOUN
fumecheng-7904	34	33	(	(	PUNCT
fumecheng-7904	34	34	knn	knn	PROPN
fumecheng-7904	34	35	)	)	PUNCT
fumecheng-7904	34	36	prediction	prediction	NOUN
fumecheng-7904	34	37	of	of	ADP
fumecheng-7904	34	38	responses	response	NOUN
fumecheng-7904	34	39	in	in	ADP
fumecheng-7904	34	40	a	a	DET
fumecheng-7904	34	41	cnc	cnc	PROPN
fumecheng-7904	34	42	milling	milling	NOUN
fumecheng-7904	34	43	operation	operation	NOUN
fumecheng-7904	34	44	using	use	VERB
fumecheng-7904	34	45	random	random	ADJ
fumecheng-7904	34	46	forest	forest	NOUN
fumecheng-7904	34	47	regressor	regressor	NOUN
fumecheng-7904	34	48	687	687	NUM
fumecheng-7904	34	49	regression	regression	NOUN
fumecheng-7904	34	50	,	,	PUNCT
fumecheng-7904	34	51	support	support	NOUN
fumecheng-7904	34	52	vector	vector	NOUN
fumecheng-7904	34	53	regression	regression	NOUN
fumecheng-7904	34	54	(	(	PUNCT
fumecheng-7904	34	55	svr	svr	PROPN
fumecheng-7904	34	56	)	)	PUNCT
fumecheng-7904	34	57	,	,	PUNCT
fumecheng-7904	34	58	artificial	artificial	ADJ
fumecheng-7904	34	59	neural	neural	ADJ
fumecheng-7904	34	60	network	network	NOUN
fumecheng-7904	34	61	(	(	PUNCT
fumecheng-7904	34	62	ann	ann	PROPN
fumecheng-7904	34	63	)	)	PUNCT
fumecheng-7904	34	64	,	,	PUNCT
fumecheng-7904	34	65	adaptive	adaptive	PROPN
fumecheng-7904	34	66	neurofuzzy	neurofuzzy	ADJ
fumecheng-7904	34	67	inference	inference	NOUN
fumecheng-7904	34	68	system	system	NOUN
fumecheng-7904	34	69	(	(	PUNCT
fumecheng-7904	34	70	anfis	anfis	PROPN
fumecheng-7904	34	71	)	)	PUNCT
fumecheng-7904	34	72	etc	etc	X
fumecheng-7904	34	73	.	.	X
fumecheng-7904	34	74	for	for	ADP
fumecheng-7904	34	75	predictive	predictive	ADJ
fumecheng-7904	34	76	modeling	modeling	NOUN
fumecheng-7904	34	77	of	of	ADP
fumecheng-7904	34	78	the	the	DET
fumecheng-7904	34	79	considered	consider	VERB
fumecheng-7904	34	80	processes	process	NOUN
fumecheng-7904	34	81	.	.	PUNCT
fumecheng-7904	35	1	although	although	SCONJ
fumecheng-7904	35	2	all	all	PRON
fumecheng-7904	35	3	of	of	ADP
fumecheng-7904	35	4	those	those	DET
fumecheng-7904	35	5	techniques	technique	NOUN
fumecheng-7904	35	6	have	have	AUX
fumecheng-7904	35	7	provided	provide	VERB
fumecheng-7904	35	8	satisfactory	satisfactory	ADJ
fumecheng-7904	35	9	results	result	NOUN
fumecheng-7904	35	10	,	,	PUNCT
fumecheng-7904	35	11	they	they	PRON
fumecheng-7904	35	12	also	also	ADV
fumecheng-7904	35	13	have	have	VERB
fumecheng-7904	35	14	their	their	PRON
fumecheng-7904	35	15	own	own	ADJ
fumecheng-7904	35	16	limitations	limitation	NOUN
fumecheng-7904	35	17	which	which	PRON
fumecheng-7904	35	18	often	often	ADV
fumecheng-7904	35	19	hinder	hinder	VERB
fumecheng-7904	35	20	their	their	PRON
fumecheng-7904	35	21	widespread	widespread	ADJ
fumecheng-7904	35	22	applications	application	NOUN
fumecheng-7904	35	23	as	as	ADP
fumecheng-7904	35	24	effective	effective	ADJ
fumecheng-7904	35	25	prediction	prediction	NOUN
fumecheng-7904	35	26	tools	tool	NOUN
fumecheng-7904	35	27	.	.	PUNCT
fumecheng-7904	36	1	the	the	DET
fumecheng-7904	36	2	main	main	ADJ
fumecheng-7904	36	3	disadvantages	disadvantage	NOUN
fumecheng-7904	36	4	of	of	ADP
fumecheng-7904	36	5	different	different	ADJ
fumecheng-7904	36	6	statistical	statistical	ADJ
fumecheng-7904	36	7	and	and	CCONJ
fumecheng-7904	36	8	machine	machine	NOUN
fumecheng-7904	36	9	learning	learning	NOUN
fumecheng-7904	36	10	techniques	technique	NOUN
fumecheng-7904	36	11	are	be	AUX
fumecheng-7904	36	12	summarized	summarize	VERB
fumecheng-7904	36	13	in	in	ADP
fumecheng-7904	36	14	table	table	NOUN
fumecheng-7904	36	15	1	1	NUM
fumecheng-7904	36	16	.	.	PUNCT
fumecheng-7904	36	17	table	table	NOUN
fumecheng-7904	36	18	1	1	NUM
fumecheng-7904	36	19	disadvantageous	disadvantageous	ADJ
fumecheng-7904	36	20	features	feature	NOUN
fumecheng-7904	36	21	of	of	ADP
fumecheng-7904	36	22	some	some	DET
fumecheng-7904	36	23	popular	popular	ADJ
fumecheng-7904	36	24	statistical	statistical	ADJ
fumecheng-7904	36	25	and	and	CCONJ
fumecheng-7904	36	26	machine	machine	NOUN
fumecheng-7904	36	27	learning	learn	VERB
fumecheng-7904	36	28	techniques	technique	NOUN
fumecheng-7904	36	29	method	method	PROPN
fumecheng-7904	36	30	disadvantages	disadvantage	NOUN
fumecheng-7904	36	31	linear	linear	VERB
fumecheng-7904	36	32	regression	regression	NOUN
fumecheng-7904	36	33	it	it	PRON
fumecheng-7904	36	34	assumes	assume	VERB
fumecheng-7904	36	35	normal	normal	ADJ
fumecheng-7904	36	36	distribution	distribution	NOUN
fumecheng-7904	36	37	of	of	ADP
fumecheng-7904	36	38	the	the	DET
fumecheng-7904	36	39	input	input	NOUN
fumecheng-7904	36	40	variables	variable	NOUN
fumecheng-7904	36	41	,	,	PUNCT
fumecheng-7904	36	42	and	and	CCONJ
fumecheng-7904	36	43	presence	presence	NOUN
fumecheng-7904	36	44	of	of	ADP
fumecheng-7904	36	45	a	a	DET
fumecheng-7904	36	46	linear	linear	ADJ
fumecheng-7904	36	47	relationship	relationship	NOUN
fumecheng-7904	36	48	between	between	ADP
fumecheng-7904	36	49	the	the	DET
fumecheng-7904	36	50	dependent	dependent	ADJ
fumecheng-7904	36	51	and	and	CCONJ
fumecheng-7904	36	52	independent	independent	ADJ
fumecheng-7904	36	53	variables	variable	NOUN
fumecheng-7904	36	54	.	.	PUNCT
fumecheng-7904	37	1	in	in	ADP
fumecheng-7904	37	2	reality	reality	NOUN
fumecheng-7904	37	3	,	,	PUNCT
fumecheng-7904	37	4	these	these	DET
fumecheng-7904	37	5	assumptions	assumption	NOUN
fumecheng-7904	37	6	are	be	AUX
fumecheng-7904	37	7	often	often	ADV
fumecheng-7904	37	8	not	not	PART
fumecheng-7904	37	9	valid	valid	ADJ
fumecheng-7904	37	10	.	.	PUNCT
fumecheng-7904	38	1	it	it	PRON
fumecheng-7904	38	2	is	be	AUX
fumecheng-7904	38	3	also	also	ADV
fumecheng-7904	38	4	quite	quite	ADV
fumecheng-7904	38	5	sensitive	sensitive	ADJ
fumecheng-7904	38	6	to	to	ADP
fumecheng-7904	38	7	the	the	DET
fumecheng-7904	38	8	presence	presence	NOUN
fumecheng-7904	38	9	of	of	ADP
fumecheng-7904	38	10	outliers	outlier	NOUN
fumecheng-7904	38	11	.	.	PUNCT
fumecheng-7904	39	1	knn	knn	PROPN
fumecheng-7904	39	2	regression	regression	NOUN
fumecheng-7904	39	3	it	it	PRON
fumecheng-7904	39	4	is	be	AUX
fumecheng-7904	39	5	highly	highly	ADV
fumecheng-7904	39	6	sensitive	sensitive	ADJ
fumecheng-7904	39	7	to	to	ADP
fumecheng-7904	39	8	the	the	DET
fumecheng-7904	39	9	scale	scale	NOUN
fumecheng-7904	39	10	of	of	ADP
fumecheng-7904	39	11	the	the	DET
fumecheng-7904	39	12	data	datum	NOUN
fumecheng-7904	39	13	.	.	PUNCT
fumecheng-7904	40	1	it	it	PRON
fumecheng-7904	40	2	also	also	ADV
fumecheng-7904	40	3	does	do	AUX
fumecheng-7904	40	4	not	not	PART
fumecheng-7904	40	5	perform	perform	VERB
fumecheng-7904	40	6	well	well	ADV
fumecheng-7904	40	7	for	for	ADP
fumecheng-7904	40	8	large	large	ADJ
fumecheng-7904	40	9	datasets	dataset	NOUN
fumecheng-7904	40	10	and	and	CCONJ
fumecheng-7904	40	11	widely	widely	ADV
fumecheng-7904	40	12	varying	vary	VERB
fumecheng-7904	40	13	dimensional	dimensional	ADJ
fumecheng-7904	40	14	data	datum	NOUN
fumecheng-7904	40	15	.	.	PUNCT
fumecheng-7904	41	1	ridge	ridge	PROPN
fumecheng-7904	41	2	regression	regression	PROPN
fumecheng-7904	41	3	it	it	PRON
fumecheng-7904	41	4	includes	include	VERB
fumecheng-7904	41	5	bias	bias	NOUN
fumecheng-7904	41	6	in	in	ADP
fumecheng-7904	41	7	the	the	DET
fumecheng-7904	41	8	model	model	NOUN
fumecheng-7904	41	9	output	output	NOUN
fumecheng-7904	41	10	.	.	PUNCT
fumecheng-7904	42	1	selection	selection	NOUN
fumecheng-7904	42	2	of	of	ADP
fumecheng-7904	42	3	hyperparameters	hyperparameter	NOUN
fumecheng-7904	42	4	may	may	AUX
fumecheng-7904	42	5	also	also	ADV
fumecheng-7904	42	6	affect	affect	VERB
fumecheng-7904	42	7	its	its	PRON
fumecheng-7904	42	8	accuracy	accuracy	NOUN
fumecheng-7904	42	9	.	.	PUNCT
fumecheng-7904	43	1	lasso	lasso	NOUN
fumecheng-7904	43	2	regression	regression	VERB
fumecheng-7904	43	3	its	its	PRON
fumecheng-7904	43	4	prediction	prediction	NOUN
fumecheng-7904	43	5	performance	performance	NOUN
fumecheng-7904	43	6	largely	largely	ADV
fumecheng-7904	43	7	depends	depend	VERB
fumecheng-7904	43	8	on	on	ADP
fumecheng-7904	43	9	the	the	DET
fumecheng-7904	43	10	variability	variability	NOUN
fumecheng-7904	43	11	of	of	ADP
fumecheng-7904	43	12	the	the	DET
fumecheng-7904	43	13	data	datum	NOUN
fumecheng-7904	43	14	under	under	ADP
fumecheng-7904	43	15	consideration	consideration	NOUN
fumecheng-7904	43	16	.	.	PUNCT
fumecheng-7904	44	1	the	the	DET
fumecheng-7904	44	2	selected	select	VERB
fumecheng-7904	44	3	features	feature	NOUN
fumecheng-7904	44	4	may	may	AUX
fumecheng-7904	44	5	result	result	VERB
fumecheng-7904	44	6	in	in	ADP
fumecheng-7904	44	7	higher	high	ADJ
fumecheng-7904	44	8	bias	bias	NOUN
fumecheng-7904	44	9	.	.	PUNCT
fumecheng-7904	45	1	svr	svr	VERB
fumecheng-7904	45	2	in	in	ADP
fumecheng-7904	45	3	this	this	DET
fumecheng-7904	45	4	technique	technique	NOUN
fumecheng-7904	45	5	,	,	PUNCT
fumecheng-7904	45	6	selection	selection	NOUN
fumecheng-7904	45	7	of	of	ADP
fumecheng-7904	45	8	the	the	DET
fumecheng-7904	45	9	appropriate	appropriate	ADJ
fumecheng-7904	45	10	kernel	kernel	NOUN
fumecheng-7904	45	11	influences	influence	VERB
fumecheng-7904	45	12	its	its	PRON
fumecheng-7904	45	13	prediction	prediction	NOUN
fumecheng-7904	45	14	performance	performance	NOUN
fumecheng-7904	45	15	.	.	PUNCT
fumecheng-7904	46	1	it	it	PRON
fumecheng-7904	46	2	is	be	AUX
fumecheng-7904	46	3	also	also	ADV
fumecheng-7904	46	4	not	not	PART
fumecheng-7904	46	5	at	at	ADV
fumecheng-7904	46	6	all	all	ADV
fumecheng-7904	46	7	suitable	suitable	ADJ
fumecheng-7904	46	8	for	for	ADP
fumecheng-7904	46	9	large	large	ADJ
fumecheng-7904	46	10	datasets	dataset	NOUN
fumecheng-7904	46	11	and	and	CCONJ
fumecheng-7904	46	12	suffers	suffer	VERB
fumecheng-7904	46	13	from	from	ADP
fumecheng-7904	46	14	poor	poor	ADJ
fumecheng-7904	46	15	interpretability	interpretability	NOUN
fumecheng-7904	46	16	.	.	PUNCT
fumecheng-7904	47	1	ann	ann	PROPN
fumecheng-7904	47	2	its	its	PRON
fumecheng-7904	47	3	performance	performance	NOUN
fumecheng-7904	47	4	greatly	greatly	ADV
fumecheng-7904	47	5	depends	depend	VERB
fumecheng-7904	47	6	on	on	ADP
fumecheng-7904	47	7	the	the	DET
fumecheng-7904	47	8	system	system	NOUN
fumecheng-7904	47	9	configuration	configuration	NOUN
fumecheng-7904	47	10	and	and	CCONJ
fumecheng-7904	47	11	volume	volume	NOUN
fumecheng-7904	47	12	of	of	ADP
fumecheng-7904	47	13	the	the	DET
fumecheng-7904	47	14	training	training	NOUN
fumecheng-7904	47	15	data	datum	NOUN
fumecheng-7904	47	16	.	.	PUNCT
fumecheng-7904	48	1	being	be	AUX
fumecheng-7904	48	2	a	a	DET
fumecheng-7904	48	3	black	black	ADJ
fumecheng-7904	48	4	box	box	NOUN
fumecheng-7904	48	5	type	type	NOUN
fumecheng-7904	48	6	approach	approach	NOUN
fumecheng-7904	48	7	,	,	PUNCT
fumecheng-7904	48	8	it	it	PRON
fumecheng-7904	48	9	has	have	VERB
fumecheng-7904	48	10	poor	poor	ADJ
fumecheng-7904	48	11	interpretability	interpretability	NOUN
fumecheng-7904	48	12	.	.	PUNCT
fumecheng-7904	49	1	selection	selection	NOUN
fumecheng-7904	49	2	of	of	ADP
fumecheng-7904	49	3	the	the	DET
fumecheng-7904	49	4	right	right	ADJ
fumecheng-7904	49	5	activation	activation	NOUN
fumecheng-7904	49	6	function	function	VERB
fumecheng-7904	49	7	along	along	ADP
fumecheng-7904	49	8	with	with	ADP
fumecheng-7904	49	9	the	the	DET
fumecheng-7904	49	10	number	number	NOUN
fumecheng-7904	49	11	of	of	ADP
fumecheng-7904	49	12	hidden	hidden	ADJ
fumecheng-7904	49	13	layers	layer	NOUN
fumecheng-7904	49	14	and	and	CCONJ
fumecheng-7904	49	15	number	number	NOUN
fumecheng-7904	49	16	of	of	ADP
fumecheng-7904	49	17	nodes	node	NOUN
fumecheng-7904	49	18	per	per	ADP
fumecheng-7904	49	19	layer	layer	NOUN
fumecheng-7904	49	20	affects	affect	VERB
fumecheng-7904	49	21	its	its	PRON
fumecheng-7904	49	22	prediction	prediction	NOUN
fumecheng-7904	49	23	accuracy	accuracy	NOUN
fumecheng-7904	49	24	.	.	PUNCT
fumecheng-7904	50	1	anfis	anfis	VERB
fumecheng-7904	50	2	it	it	PRON
fumecheng-7904	50	3	is	be	AUX
fumecheng-7904	50	4	highly	highly	ADV
fumecheng-7904	50	5	sensitive	sensitive	ADJ
fumecheng-7904	50	6	to	to	ADP
fumecheng-7904	50	7	the	the	DET
fumecheng-7904	50	8	number	number	NOUN
fumecheng-7904	50	9	and	and	CCONJ
fumecheng-7904	50	10	type	type	NOUN
fumecheng-7904	50	11	of	of	ADP
fumecheng-7904	50	12	the	the	DET
fumecheng-7904	50	13	membership	membership	NOUN
fumecheng-7904	50	14	functions	function	NOUN
fumecheng-7904	50	15	selected	select	VERB
fumecheng-7904	50	16	.	.	PUNCT
fumecheng-7904	51	1	cross	cross	ADJ
fumecheng-7904	51	2	-	-	ADJ
fumecheng-7904	51	3	validation	validation	ADJ
fumecheng-7904	51	4	error	error	NOUN
fumecheng-7904	51	5	would	would	AUX
fumecheng-7904	51	6	largely	largely	ADV
fumecheng-7904	51	7	differ	differ	VERB
fumecheng-7904	51	8	from	from	ADP
fumecheng-7904	51	9	the	the	DET
fumecheng-7904	51	10	actual	actual	ADJ
fumecheng-7904	51	11	error	error	NOUN
fumecheng-7904	51	12	for	for	ADP
fumecheng-7904	51	13	a	a	DET
fumecheng-7904	51	14	smaller	small	ADJ
fumecheng-7904	51	15	dataset	dataset	NOUN
fumecheng-7904	51	16	.	.	PUNCT
fumecheng-7904	52	1	decision	decision	NOUN
fumecheng-7904	52	2	tree	tree	NOUN
fumecheng-7904	52	3	regressor	regressor	NOUN
fumecheng-7904	52	4	being	be	AUX
fumecheng-7904	52	5	a	a	DET
fumecheng-7904	52	6	highly	highly	ADV
fumecheng-7904	52	7	unstable	unstable	ADJ
fumecheng-7904	52	8	technique	technique	NOUN
fumecheng-7904	52	9	,	,	PUNCT
fumecheng-7904	52	10	a	a	DET
fumecheng-7904	52	11	small	small	ADJ
fumecheng-7904	52	12	change	change	NOUN
fumecheng-7904	52	13	in	in	ADP
fumecheng-7904	52	14	the	the	DET
fumecheng-7904	52	15	dataset	dataset	NOUN
fumecheng-7904	52	16	may	may	AUX
fumecheng-7904	52	17	cause	cause	VERB
fumecheng-7904	52	18	a	a	DET
fumecheng-7904	52	19	significant	significant	ADJ
fumecheng-7904	52	20	change	change	NOUN
fumecheng-7904	52	21	in	in	ADP
fumecheng-7904	52	22	the	the	DET
fumecheng-7904	52	23	developed	develop	VERB
fumecheng-7904	52	24	tree	tree	NOUN
fumecheng-7904	52	25	structure	structure	NOUN
fumecheng-7904	52	26	.	.	PUNCT
fumecheng-7904	53	1	it	it	PRON
fumecheng-7904	53	2	can	can	AUX
fumecheng-7904	53	3	not	not	PART
fumecheng-7904	53	4	be	be	AUX
fumecheng-7904	53	5	employed	employ	VERB
fumecheng-7904	53	6	for	for	ADP
fumecheng-7904	53	7	continuous	continuous	ADJ
fumecheng-7904	53	8	numerical	numerical	ADJ
fumecheng-7904	53	9	variables	variable	NOUN
fumecheng-7904	53	10	.	.	PUNCT
fumecheng-7904	54	1	from	from	ADP
fumecheng-7904	54	2	table	table	NOUN
fumecheng-7904	54	3	1	1	NUM
fumecheng-7904	54	4	,	,	PUNCT
fumecheng-7904	54	5	it	it	PRON
fumecheng-7904	54	6	can	can	AUX
fumecheng-7904	54	7	be	be	AUX
fumecheng-7904	54	8	clearly	clearly	ADV
fumecheng-7904	54	9	noticed	notice	VERB
fumecheng-7904	54	10	that	that	SCONJ
fumecheng-7904	54	11	all	all	DET
fumecheng-7904	54	12	the	the	DET
fumecheng-7904	54	13	considered	considered	ADJ
fumecheng-7904	54	14	statistical	statistical	ADJ
fumecheng-7904	54	15	and	and	CCONJ
fumecheng-7904	54	16	machine	machine	NOUN
fumecheng-7904	54	17	learning	learning	NOUN
fumecheng-7904	54	18	techniques	technique	NOUN
fumecheng-7904	54	19	have	have	VERB
fumecheng-7904	54	20	some	some	DET
fumecheng-7904	54	21	deficiencies	deficiency	NOUN
fumecheng-7904	54	22	,	,	PUNCT
fumecheng-7904	54	23	especially	especially	ADV
fumecheng-7904	54	24	with	with	ADP
fumecheng-7904	54	25	respect	respect	NOUN
fumecheng-7904	54	26	to	to	ADP
fumecheng-7904	54	27	either	either	DET
fumecheng-7904	54	28	flexibility	flexibility	NOUN
fumecheng-7904	54	29	or	or	CCONJ
fumecheng-7904	54	30	interpretability	interpretability	NOUN
fumecheng-7904	54	31	.	.	PUNCT
fumecheng-7904	55	1	thus	thus	ADV
fumecheng-7904	55	2	,	,	PUNCT
fumecheng-7904	55	3	a	a	DET
fumecheng-7904	55	4	trade	trade	NOUN
fumecheng-7904	55	5	-	-	PUNCT
fumecheng-7904	55	6	off	off	NOUN
fumecheng-7904	55	7	has	have	AUX
fumecheng-7904	55	8	become	become	VERB
fumecheng-7904	55	9	essential	essential	ADJ
fumecheng-7904	55	10	between	between	ADP
fumecheng-7904	55	11	prediction	prediction	NOUN
fumecheng-7904	55	12	accuracy	accuracy	NOUN
fumecheng-7904	55	13	and	and	CCONJ
fumecheng-7904	55	14	model	model	NOUN
fumecheng-7904	55	15	interpretability	interpretability	NOUN
fumecheng-7904	55	16	.	.	PUNCT
fumecheng-7904	56	1	many	many	ADJ
fumecheng-7904	56	2	of	of	ADP
fumecheng-7904	56	3	the	the	DET
fumecheng-7904	56	4	machine	machine	NOUN
fumecheng-7904	56	5	learning	learn	VERB
fumecheng-7904	56	6	algorithms	algorithm	NOUN
fumecheng-7904	56	7	are	be	AUX
fumecheng-7904	56	8	unstable	unstable	ADJ
fumecheng-7904	56	9	,	,	PUNCT
fumecheng-7904	56	10	showing	show	VERB
fumecheng-7904	56	11	high	high	ADJ
fumecheng-7904	56	12	variance	variance	NOUN
fumecheng-7904	56	13	resulting	result	VERB
fumecheng-7904	56	14	in	in	ADP
fumecheng-7904	56	15	poor	poor	ADJ
fumecheng-7904	56	16	prediction	prediction	NOUN
fumecheng-7904	56	17	for	for	ADP
fumecheng-7904	56	18	the	the	DET
fumecheng-7904	56	19	test	test	NOUN
fumecheng-7904	56	20	datasets	dataset	NOUN
fumecheng-7904	56	21	.	.	PUNCT
fumecheng-7904	57	1	using	use	VERB
fumecheng-7904	57	2	ensemble	ensemble	ADJ
fumecheng-7904	57	3	learning	learning	NOUN
fumecheng-7904	57	4	,	,	PUNCT
fumecheng-7904	57	5	these	these	DET
fumecheng-7904	57	6	unstable	unstable	ADJ
fumecheng-7904	57	7	and	and	CCONJ
fumecheng-7904	57	8	weak	weak	ADJ
fumecheng-7904	57	9	learners	learner	NOUN
fumecheng-7904	57	10	can	can	AUX
fumecheng-7904	57	11	be	be	AUX
fumecheng-7904	57	12	combined	combine	VERB
fumecheng-7904	57	13	together	together	ADV
fumecheng-7904	57	14	to	to	PART
fumecheng-7904	57	15	bring	bring	VERB
fumecheng-7904	57	16	stability	stability	NOUN
fumecheng-7904	57	17	in	in	ADP
fumecheng-7904	57	18	the	the	DET
fumecheng-7904	57	19	prediction	prediction	NOUN
fumecheng-7904	57	20	process	process	NOUN
fumecheng-7904	57	21	.	.	PUNCT
fumecheng-7904	58	1	the	the	DET
fumecheng-7904	58	2	random	random	ADJ
fumecheng-7904	58	3	forest	forest	NOUN
fumecheng-7904	58	4	(	(	PUNCT
fumecheng-7904	58	5	rf	rf	NOUN
fumecheng-7904	58	6	)	)	PUNCT
fumecheng-7904	58	7	regressor	regressor	NOUN
fumecheng-7904	58	8	is	be	AUX
fumecheng-7904	58	9	based	base	VERB
fumecheng-7904	58	10	on	on	ADP
fumecheng-7904	58	11	ensemble	ensemble	ADJ
fumecheng-7904	58	12	learning	learning	NOUN
fumecheng-7904	58	13	,	,	PUNCT
fumecheng-7904	58	14	and	and	CCONJ
fumecheng-7904	58	15	can	can	AUX
fumecheng-7904	58	16	effectively	effectively	ADV
fumecheng-7904	58	17	bridge	bridge	VERB
fumecheng-7904	58	18	the	the	DET
fumecheng-7904	58	19	gap	gap	NOUN
fumecheng-7904	58	20	between	between	ADP
fumecheng-7904	58	21	prediction	prediction	NOUN
fumecheng-7904	58	22	accuracy	accuracy	NOUN
fumecheng-7904	58	23	and	and	CCONJ
fumecheng-7904	58	24	model	model	NOUN
fumecheng-7904	58	25	interpretability	interpretability	NOUN
fumecheng-7904	58	26	.	.	PUNCT
fumecheng-7904	59	1	it	it	PRON
fumecheng-7904	59	2	is	be	AUX
fumecheng-7904	59	3	an	an	DET
fumecheng-7904	59	4	aggregation	aggregation	NOUN
fumecheng-7904	59	5	of	of	ADP
fumecheng-7904	59	6	decision	decision	NOUN
fumecheng-7904	59	7	trees	tree	NOUN
fumecheng-7904	59	8	having	have	VERB
fumecheng-7904	59	9	more	more	ADJ
fumecheng-7904	59	10	stability	stability	NOUN
fumecheng-7904	59	11	and	and	CCONJ
fumecheng-7904	59	12	capability	capability	NOUN
fumecheng-7904	59	13	to	to	PART
fumecheng-7904	59	14	deal	deal	VERB
fumecheng-7904	59	15	with	with	ADP
fumecheng-7904	59	16	continuous	continuous	ADJ
fumecheng-7904	59	17	numerical	numerical	ADJ
fumecheng-7904	59	18	variables	variable	NOUN
fumecheng-7904	59	19	.	.	PUNCT
fumecheng-7904	60	1	the	the	DET
fumecheng-7904	60	2	rf	rf	NOUN
fumecheng-7904	60	3	is	be	AUX
fumecheng-7904	60	4	an	an	DET
fumecheng-7904	60	5	example	example	NOUN
fumecheng-7904	60	6	of	of	ADP
fumecheng-7904	60	7	the	the	DET
fumecheng-7904	60	8	bagging	bagging	NOUN
fumecheng-7904	60	9	method	method	NOUN
fumecheng-7904	60	10	,	,	PUNCT
fumecheng-7904	60	11	which	which	PRON
fumecheng-7904	60	12	is	be	AUX
fumecheng-7904	60	13	an	an	DET
fumecheng-7904	60	14	amalgamation	amalgamation	NOUN
fumecheng-7904	60	15	of	of	ADP
fumecheng-7904	60	16	tree	tree	NOUN
fumecheng-7904	60	17	predictors	predictor	NOUN
fumecheng-7904	60	18	that	that	PRON
fumecheng-7904	60	19	operates	operate	VERB
fumecheng-7904	60	20	by	by	ADP
fumecheng-7904	60	21	constituting	constitute	VERB
fumecheng-7904	60	22	a	a	DET
fumecheng-7904	60	23	profusion	profusion	NOUN
fumecheng-7904	60	24	of	of	ADP
fumecheng-7904	60	25	decision	decision	NOUN
fumecheng-7904	60	26	688	688	NUM
fumecheng-7904	60	27	s.	s.	PROPN
fumecheng-7904	60	28	bhattacharya	bhattacharya	PROPN
fumecheng-7904	60	29	,	,	PUNCT
fumecheng-7904	60	30	s.	s.	PROPN
fumecheng-7904	60	31	chakraborty	chakraborty	PROPN
fumecheng-7904	60	32	trees	trees	PROPN
fumecheng-7904	60	33	,	,	PUNCT
fumecheng-7904	60	34	making	make	VERB
fumecheng-7904	60	35	it	it	PRON
fumecheng-7904	60	36	less	less	ADV
fumecheng-7904	60	37	prone	prone	ADJ
fumecheng-7904	60	38	to	to	PART
fumecheng-7904	60	39	bias	bias	VERB
fumecheng-7904	60	40	.	.	PUNCT
fumecheng-7904	61	1	despite	despite	SCONJ
fumecheng-7904	61	2	having	have	VERB
fumecheng-7904	61	3	a	a	DET
fumecheng-7904	61	4	wide	wide	ADJ
fumecheng-7904	61	5	range	range	NOUN
fumecheng-7904	61	6	of	of	ADP
fumecheng-7904	61	7	flexibility	flexibility	NOUN
fumecheng-7904	61	8	,	,	PUNCT
fumecheng-7904	61	9	it	it	PRON
fumecheng-7904	61	10	has	have	AUX
fumecheng-7904	61	11	not	not	PART
fumecheng-7904	61	12	been	be	AUX
fumecheng-7904	61	13	specifically	specifically	ADV
fumecheng-7904	61	14	applied	apply	VERB
fumecheng-7904	61	15	to	to	PART
fumecheng-7904	61	16	predict	predict	VERB
fumecheng-7904	61	17	responses	response	NOUN
fumecheng-7904	61	18	for	for	ADP
fumecheng-7904	61	19	any	any	PRON
fumecheng-7904	61	20	of	of	ADP
fumecheng-7904	61	21	the	the	DET
fumecheng-7904	61	22	machining	machining	NOUN
fumecheng-7904	61	23	processes	process	NOUN
fumecheng-7904	61	24	.	.	PUNCT
fumecheng-7904	62	1	this	this	DET
fumecheng-7904	62	2	paper	paper	NOUN
fumecheng-7904	62	3	lays	lay	VERB
fumecheng-7904	62	4	down	down	ADP
fumecheng-7904	62	5	a	a	DET
fumecheng-7904	62	6	framework	framework	NOUN
fumecheng-7904	62	7	to	to	PART
fumecheng-7904	62	8	model	model	VERB
fumecheng-7904	62	9	a	a	DET
fumecheng-7904	62	10	cnc	cnc	ADJ
fumecheng-7904	62	11	face	face	NOUN
fumecheng-7904	62	12	milling	milling	NOUN
fumecheng-7904	62	13	process	process	NOUN
fumecheng-7904	62	14	using	use	VERB
fumecheng-7904	62	15	the	the	DET
fumecheng-7904	62	16	rf	rf	NOUN
fumecheng-7904	62	17	regressor	regressor	NOUN
fumecheng-7904	62	18	.	.	PUNCT
fumecheng-7904	63	1	unlike	unlike	ADP
fumecheng-7904	63	2	linear	linear	PROPN
fumecheng-7904	63	3	regression	regression	NOUN
fumecheng-7904	63	4	,	,	PUNCT
fumecheng-7904	63	5	it	it	PRON
fumecheng-7904	63	6	does	do	AUX
fumecheng-7904	63	7	not	not	PART
fumecheng-7904	63	8	assume	assume	VERB
fumecheng-7904	63	9	the	the	DET
fumecheng-7904	63	10	presence	presence	NOUN
fumecheng-7904	63	11	of	of	ADP
fumecheng-7904	63	12	any	any	DET
fumecheng-7904	63	13	existent	existent	ADJ
fumecheng-7904	63	14	relationship	relationship	NOUN
fumecheng-7904	63	15	between	between	ADP
fumecheng-7904	63	16	the	the	DET
fumecheng-7904	63	17	dependent	dependent	ADJ
fumecheng-7904	63	18	and	and	CCONJ
fumecheng-7904	63	19	independent	independent	ADJ
fumecheng-7904	63	20	variables	variable	NOUN
fumecheng-7904	63	21	,	,	PUNCT
fumecheng-7904	63	22	and	and	CCONJ
fumecheng-7904	63	23	also	also	ADV
fumecheng-7904	63	24	does	do	AUX
fumecheng-7904	63	25	not	not	PART
fumecheng-7904	63	26	need	need	VERB
fumecheng-7904	63	27	the	the	DET
fumecheng-7904	63	28	dataset	dataset	NOUN
fumecheng-7904	63	29	to	to	PART
fumecheng-7904	63	30	be	be	AUX
fumecheng-7904	63	31	normally	normally	ADV
fumecheng-7904	63	32	distributed	distribute	VERB
fumecheng-7904	63	33	.	.	PUNCT
fumecheng-7904	64	1	its	its	PRON
fumecheng-7904	64	2	prediction	prediction	NOUN
fumecheng-7904	64	3	accuracy	accuracy	NOUN
fumecheng-7904	64	4	would	would	AUX
fumecheng-7904	64	5	suppose	suppose	VERB
fumecheng-7904	64	6	to	to	PART
fumecheng-7904	64	7	increase	increase	VERB
fumecheng-7904	64	8	with	with	ADP
fumecheng-7904	64	9	large	large	ADJ
fumecheng-7904	64	10	datasets	dataset	NOUN
fumecheng-7904	64	11	,	,	PUNCT
fumecheng-7904	64	12	unlike	unlike	ADP
fumecheng-7904	64	13	svr	svr	PROPN
fumecheng-7904	64	14	or	or	CCONJ
fumecheng-7904	64	15	knn	knn	PROPN
fumecheng-7904	64	16	regressor	regressor	PROPN
fumecheng-7904	64	17	.	.	PUNCT
fumecheng-7904	65	1	its	its	PRON
fumecheng-7904	65	2	application	application	NOUN
fumecheng-7904	65	3	does	do	AUX
fumecheng-7904	65	4	not	not	PART
fumecheng-7904	65	5	require	require	VERB
fumecheng-7904	65	6	any	any	DET
fumecheng-7904	65	7	supersophisticated	supersophisticated	ADJ
fumecheng-7904	65	8	hardware	hardware	NOUN
fumecheng-7904	65	9	configuration	configuration	NOUN
fumecheng-7904	65	10	(	(	PUNCT
fumecheng-7904	65	11	like	like	ADP
fumecheng-7904	65	12	ann	ann	PROPN
fumecheng-7904	65	13	)	)	PUNCT
fumecheng-7904	65	14	;	;	PUNCT
fumecheng-7904	65	15	neither	neither	CCONJ
fumecheng-7904	65	16	is	be	AUX
fumecheng-7904	65	17	there	there	PRON
fumecheng-7904	65	18	any	any	DET
fumecheng-7904	65	19	need	need	NOUN
fumecheng-7904	65	20	to	to	PART
fumecheng-7904	65	21	choose	choose	VERB
fumecheng-7904	65	22	any	any	DET
fumecheng-7904	65	23	membership	membership	NOUN
fumecheng-7904	65	24	function	function	NOUN
fumecheng-7904	65	25	(	(	PUNCT
fumecheng-7904	65	26	like	like	INTJ
fumecheng-7904	65	27	anfis	anfis	PROPN
fumecheng-7904	65	28	)	)	PUNCT
fumecheng-7904	65	29	.	.	PUNCT
fumecheng-7904	66	1	there	there	PRON
fumecheng-7904	66	2	is	be	VERB
fumecheng-7904	66	3	also	also	ADV
fumecheng-7904	66	4	no	no	DET
fumecheng-7904	66	5	requirement	requirement	NOUN
fumecheng-7904	66	6	to	to	PART
fumecheng-7904	66	7	scale	scale	VERB
fumecheng-7904	66	8	the	the	DET
fumecheng-7904	66	9	training	training	NOUN
fumecheng-7904	66	10	and	and	CCONJ
fumecheng-7904	66	11	testing	testing	NOUN
fumecheng-7904	66	12	data	datum	NOUN
fumecheng-7904	66	13	before	before	ADP
fumecheng-7904	66	14	its	its	PRON
fumecheng-7904	66	15	application	application	NOUN
fumecheng-7904	66	16	.	.	PUNCT
fumecheng-7904	67	1	all	all	DET
fumecheng-7904	67	2	these	these	DET
fumecheng-7904	67	3	advantageous	advantageous	ADJ
fumecheng-7904	67	4	features	feature	NOUN
fumecheng-7904	67	5	of	of	ADP
fumecheng-7904	67	6	the	the	DET
fumecheng-7904	67	7	rf	rf	NOUN
fumecheng-7904	67	8	regressor	regressor	NOUN
fumecheng-7904	67	9	make	make	VERB
fumecheng-7904	67	10	it	it	PRON
fumecheng-7904	67	11	a	a	DET
fumecheng-7904	67	12	suitable	suitable	ADJ
fumecheng-7904	67	13	machine	machine	NOUN
fumecheng-7904	67	14	learning	learning	NOUN
fumecheng-7904	67	15	technique	technique	NOUN
fumecheng-7904	67	16	having	have	VERB
fumecheng-7904	67	17	good	good	ADJ
fumecheng-7904	67	18	prediction	prediction	NOUN
fumecheng-7904	67	19	accuracy	accuracy	NOUN
fumecheng-7904	67	20	without	without	ADP
fumecheng-7904	67	21	a	a	DET
fumecheng-7904	67	22	convoluted	convoluted	ADJ
fumecheng-7904	67	23	feature	feature	NOUN
fumecheng-7904	67	24	selection	selection	NOUN
fumecheng-7904	67	25	process	process	NOUN
fumecheng-7904	67	26	.	.	PUNCT
fumecheng-7904	68	1	in	in	ADP
fumecheng-7904	68	2	this	this	DET
fumecheng-7904	68	3	paper	paper	NOUN
fumecheng-7904	68	4	,	,	PUNCT
fumecheng-7904	68	5	an	an	DET
fumecheng-7904	68	6	endeavor	endeavor	NOUN
fumecheng-7904	68	7	is	be	AUX
fumecheng-7904	68	8	thus	thus	ADV
fumecheng-7904	68	9	put	put	VERB
fumecheng-7904	68	10	forward	forward	ADV
fumecheng-7904	68	11	to	to	PART
fumecheng-7904	68	12	explore	explore	VERB
fumecheng-7904	68	13	the	the	DET
fumecheng-7904	68	14	application	application	NOUN
fumecheng-7904	68	15	potentiality	potentiality	NOUN
fumecheng-7904	68	16	of	of	ADP
fumecheng-7904	68	17	the	the	DET
fumecheng-7904	68	18	rf	rf	NOUN
fumecheng-7904	68	19	regressor	regressor	NOUN
fumecheng-7904	68	20	to	to	PART
fumecheng-7904	68	21	predict	predict	VERB
fumecheng-7904	68	22	values	value	NOUN
fumecheng-7904	68	23	of	of	ADP
fumecheng-7904	68	24	mrr	mrr	PROPN
fumecheng-7904	68	25	,	,	PUNCT
fumecheng-7904	68	26	ra	ra	PROPN
fumecheng-7904	68	27	and	and	CCONJ
fumecheng-7904	68	28	aec	aec	PROPN
fumecheng-7904	68	29	based	base	VERB
fumecheng-7904	68	30	on	on	ADP
fumecheng-7904	68	31	27	27	NUM
fumecheng-7904	68	32	experimental	experimental	ADJ
fumecheng-7904	68	33	observations	observation	NOUN
fumecheng-7904	68	34	with	with	ADP
fumecheng-7904	68	35	n	n	CCONJ
fumecheng-7904	68	36	,	,	PUNCT
fumecheng-7904	68	37	f	f	PROPN
fumecheng-7904	68	38	,	,	PUNCT
fumecheng-7904	68	39	ap	ap	PROPN
fumecheng-7904	68	40	and	and	CCONJ
fumecheng-7904	68	41	ae	ae	PROPN
fumecheng-7904	68	42	as	as	ADP
fumecheng-7904	68	43	the	the	DET
fumecheng-7904	68	44	input	input	NOUN
fumecheng-7904	68	45	cnc	cnc	X
fumecheng-7904	68	46	face	face	NOUN
fumecheng-7904	68	47	milling	mill	VERB
fumecheng-7904	68	48	parameters	parameter	NOUN
fumecheng-7904	68	49	.	.	PUNCT
fumecheng-7904	69	1	this	this	DET
fumecheng-7904	69	2	paper	paper	NOUN
fumecheng-7904	69	3	is	be	AUX
fumecheng-7904	69	4	organized	organize	VERB
fumecheng-7904	69	5	as	as	SCONJ
fumecheng-7904	69	6	follows	follow	VERB
fumecheng-7904	69	7	:	:	PUNCT
fumecheng-7904	69	8	section	section	NOUN
fumecheng-7904	69	9	2	2	NUM
fumecheng-7904	69	10	presents	present	VERB
fumecheng-7904	69	11	a	a	DET
fumecheng-7904	69	12	brief	brief	ADJ
fumecheng-7904	69	13	literature	literature	NOUN
fumecheng-7904	69	14	survey	survey	NOUN
fumecheng-7904	69	15	on	on	ADP
fumecheng-7904	69	16	the	the	DET
fumecheng-7904	69	17	applications	application	NOUN
fumecheng-7904	69	18	of	of	ADP
fumecheng-7904	69	19	different	different	ADJ
fumecheng-7904	69	20	statistical	statistical	ADJ
fumecheng-7904	69	21	and	and	CCONJ
fumecheng-7904	69	22	machine	machine	NOUN
fumecheng-7904	69	23	learning	learn	VERB
fumecheng-7904	69	24	techniques	technique	NOUN
fumecheng-7904	69	25	in	in	ADP
fumecheng-7904	69	26	face	face	NOUN
fumecheng-7904	69	27	milling	mill	VERB
fumecheng-7904	69	28	operation	operation	NOUN
fumecheng-7904	69	29	.	.	PUNCT
fumecheng-7904	70	1	in	in	ADP
fumecheng-7904	70	2	section	section	NOUN
fumecheng-7904	70	3	3	3	NUM
fumecheng-7904	70	4	,	,	PUNCT
fumecheng-7904	70	5	the	the	DET
fumecheng-7904	70	6	experimental	experimental	ADJ
fumecheng-7904	70	7	details	detail	NOUN
fumecheng-7904	70	8	are	be	AUX
fumecheng-7904	70	9	presented	present	VERB
fumecheng-7904	70	10	,	,	PUNCT
fumecheng-7904	70	11	while	while	SCONJ
fumecheng-7904	70	12	in	in	ADP
fumecheng-7904	70	13	section	section	NOUN
fumecheng-7904	70	14	4	4	NUM
fumecheng-7904	70	15	,	,	PUNCT
fumecheng-7904	70	16	the	the	DET
fumecheng-7904	70	17	theoretical	theoretical	ADJ
fumecheng-7904	70	18	and	and	CCONJ
fumecheng-7904	70	19	application	application	NOUN
fumecheng-7904	70	20	framework	framework	NOUN
fumecheng-7904	70	21	for	for	ADP
fumecheng-7904	70	22	the	the	DET
fumecheng-7904	70	23	rf	rf	NOUN
fumecheng-7904	70	24	regressor	regressor	NOUN
fumecheng-7904	70	25	is	be	AUX
fumecheng-7904	70	26	laid	lay	VERB
fumecheng-7904	70	27	down	down	ADP
fumecheng-7904	70	28	.	.	PUNCT
fumecheng-7904	71	1	section	section	NOUN
fumecheng-7904	71	2	5	5	NUM
fumecheng-7904	71	3	introduces	introduce	VERB
fumecheng-7904	71	4	different	different	ADJ
fumecheng-7904	71	5	statistical	statistical	ADJ
fumecheng-7904	71	6	metrics	metric	NOUN
fumecheng-7904	71	7	along	along	ADP
fumecheng-7904	71	8	with	with	ADP
fumecheng-7904	71	9	the	the	DET
fumecheng-7904	71	10	prediction	prediction	NOUN
fumecheng-7904	71	11	results	result	NOUN
fumecheng-7904	71	12	.	.	PUNCT
fumecheng-7904	72	1	conclusions	conclusion	NOUN
fumecheng-7904	72	2	are	be	AUX
fumecheng-7904	72	3	drawn	draw	VERB
fumecheng-7904	72	4	in	in	ADP
fumecheng-7904	72	5	section	section	NOUN
fumecheng-7904	72	6	6	6	NUM
fumecheng-7904	72	7	.	.	NOUN
fumecheng-7904	72	8	2	2	NUM
fumecheng-7904	72	9	.	.	X
fumecheng-7904	72	10	literature	literature	NOUN
fumecheng-7904	72	11	survey	survey	NOUN
fumecheng-7904	72	12	it	it	PRON
fumecheng-7904	72	13	has	have	AUX
fumecheng-7904	72	14	already	already	ADV
fumecheng-7904	72	15	been	be	AUX
fumecheng-7904	72	16	mentioned	mention	VERB
fumecheng-7904	72	17	that	that	SCONJ
fumecheng-7904	72	18	different	different	ADJ
fumecheng-7904	72	19	statistical	statistical	ADJ
fumecheng-7904	72	20	and	and	CCONJ
fumecheng-7904	72	21	machine	machine	NOUN
fumecheng-7904	72	22	learning	learning	NOUN
fumecheng-7904	72	23	techniques	technique	NOUN
fumecheng-7904	72	24	have	have	AUX
fumecheng-7904	72	25	been	be	AUX
fumecheng-7904	72	26	deployed	deploy	VERB
fumecheng-7904	72	27	by	by	ADP
fumecheng-7904	72	28	the	the	DET
fumecheng-7904	72	29	past	past	ADJ
fumecheng-7904	72	30	researchers	researcher	NOUN
fumecheng-7904	72	31	as	as	ADP
fumecheng-7904	72	32	effective	effective	ADJ
fumecheng-7904	72	33	prediction	prediction	NOUN
fumecheng-7904	72	34	tools	tool	NOUN
fumecheng-7904	72	35	for	for	ADP
fumecheng-7904	72	36	milling	mill	VERB
fumecheng-7904	72	37	operation	operation	NOUN
fumecheng-7904	72	38	.	.	PUNCT
fumecheng-7904	73	1	table	table	NOUN
fumecheng-7904	73	2	2	2	NUM
fumecheng-7904	73	3	provides	provide	VERB
fumecheng-7904	73	4	a	a	DET
fumecheng-7904	73	5	comprehensive	comprehensive	ADJ
fumecheng-7904	73	6	review	review	NOUN
fumecheng-7904	73	7	of	of	ADP
fumecheng-7904	73	8	the	the	DET
fumecheng-7904	73	9	past	past	ADJ
fumecheng-7904	73	10	literature	literature	NOUN
fumecheng-7904	73	11	mainly	mainly	ADV
fumecheng-7904	73	12	focusing	focus	VERB
fumecheng-7904	73	13	on	on	ADP
fumecheng-7904	73	14	different	different	ADJ
fumecheng-7904	73	15	milling	milling	NOUN
fumecheng-7904	73	16	parameters	parameter	NOUN
fumecheng-7904	73	17	,	,	PUNCT
fumecheng-7904	73	18	responses	response	NOUN
fumecheng-7904	73	19	and	and	CCONJ
fumecheng-7904	73	20	prediction	prediction	NOUN
fumecheng-7904	73	21	tools	tool	NOUN
fumecheng-7904	73	22	considered	consider	VERB
fumecheng-7904	73	23	for	for	ADP
fumecheng-7904	73	24	milling	mill	VERB
fumecheng-7904	73	25	operations	operation	NOUN
fumecheng-7904	73	26	.	.	PUNCT
fumecheng-7904	74	1	it	it	PRON
fumecheng-7904	74	2	has	have	AUX
fumecheng-7904	74	3	become	become	VERB
fumecheng-7904	74	4	quite	quite	ADV
fumecheng-7904	74	5	clear	clear	ADJ
fumecheng-7904	74	6	that	that	SCONJ
fumecheng-7904	74	7	although	although	SCONJ
fumecheng-7904	74	8	several	several	ADJ
fumecheng-7904	74	9	forms	form	NOUN
fumecheng-7904	74	10	of	of	ADP
fumecheng-7904	74	11	regression	regression	NOUN
fumecheng-7904	74	12	analysis	analysis	NOUN
fumecheng-7904	74	13	,	,	PUNCT
fumecheng-7904	74	14	ann	ann	PROPN
fumecheng-7904	74	15	,	,	PUNCT
fumecheng-7904	74	16	anfis	anfis	PROPN
fumecheng-7904	74	17	,	,	PUNCT
fumecheng-7904	74	18	svr	svr	PROPN
fumecheng-7904	74	19	,	,	PUNCT
fumecheng-7904	74	20	etc	etc	X
fumecheng-7904	74	21	.	.	X
fumecheng-7904	74	22	have	have	AUX
fumecheng-7904	74	23	been	be	AUX
fumecheng-7904	74	24	adopted	adopt	VERB
fumecheng-7904	74	25	by	by	ADP
fumecheng-7904	74	26	the	the	DET
fumecheng-7904	74	27	past	past	ADJ
fumecheng-7904	74	28	researchers	researcher	NOUN
fumecheng-7904	74	29	,	,	PUNCT
fumecheng-7904	74	30	the	the	DET
fumecheng-7904	74	31	literature	literature	NOUN
fumecheng-7904	74	32	seriously	seriously	ADV
fumecheng-7904	74	33	lacks	lack	VERB
fumecheng-7904	74	34	the	the	DET
fumecheng-7904	74	35	application	application	NOUN
fumecheng-7904	74	36	of	of	ADP
fumecheng-7904	74	37	the	the	DET
fumecheng-7904	74	38	rf	rf	NOUN
fumecheng-7904	74	39	regressor	regressor	NOUN
fumecheng-7904	74	40	as	as	ADP
fumecheng-7904	74	41	an	an	DET
fumecheng-7904	74	42	effective	effective	ADJ
fumecheng-7904	74	43	prediction	prediction	NOUN
fumecheng-7904	74	44	tool	tool	NOUN
fumecheng-7904	74	45	in	in	ADP
fumecheng-7904	74	46	the	the	DET
fumecheng-7904	74	47	machining	machining	NOUN
fumecheng-7904	74	48	domain	domain	NOUN
fumecheng-7904	74	49	.	.	PUNCT
fumecheng-7904	75	1	to	to	ADP
fumecheng-7904	75	2	the	the	DET
fumecheng-7904	75	3	best	good	ADJ
fumecheng-7904	75	4	of	of	ADP
fumecheng-7904	75	5	the	the	DET
fumecheng-7904	75	6	authors	author	NOUN
fumecheng-7904	75	7	’	’	PART
fumecheng-7904	75	8	knowledge	knowledge	NOUN
fumecheng-7904	75	9	,	,	PUNCT
fumecheng-7904	75	10	there	there	PRON
fumecheng-7904	75	11	is	be	VERB
fumecheng-7904	75	12	no	no	DET
fumecheng-7904	75	13	application	application	NOUN
fumecheng-7904	75	14	of	of	ADP
fumecheng-7904	75	15	the	the	DET
fumecheng-7904	75	16	rf	rf	NOUN
fumecheng-7904	75	17	technique	technique	NOUN
fumecheng-7904	75	18	as	as	ADP
fumecheng-7904	75	19	a	a	DET
fumecheng-7904	75	20	predictive	predictive	ADJ
fumecheng-7904	75	21	and	and	CCONJ
fumecheng-7904	75	22	regressor	regressor	NOUN
fumecheng-7904	75	23	model	model	NOUN
fumecheng-7904	75	24	in	in	ADP
fumecheng-7904	75	25	cnc	cnc	PROPN
fumecheng-7904	75	26	milling	milling	NOUN
fumecheng-7904	75	27	operation	operation	NOUN
fumecheng-7904	75	28	.	.	PUNCT
fumecheng-7904	76	1	in	in	ADP
fumecheng-7904	76	2	order	order	NOUN
fumecheng-7904	76	3	to	to	PART
fumecheng-7904	76	4	validate	validate	VERB
fumecheng-7904	76	5	the	the	DET
fumecheng-7904	76	6	performance	performance	NOUN
fumecheng-7904	76	7	of	of	ADP
fumecheng-7904	76	8	the	the	DET
fumecheng-7904	76	9	previously	previously	ADV
fumecheng-7904	76	10	adopted	adopt	VERB
fumecheng-7904	76	11	prediction	prediction	NOUN
fumecheng-7904	76	12	tools	tool	NOUN
fumecheng-7904	76	13	,	,	PUNCT
fumecheng-7904	76	14	a	a	DET
fumecheng-7904	76	15	limited	limited	ADJ
fumecheng-7904	76	16	number	number	NOUN
fumecheng-7904	76	17	of	of	ADP
fumecheng-7904	76	18	statistical	statistical	ADJ
fumecheng-7904	76	19	metrics	metric	NOUN
fumecheng-7904	76	20	has	have	AUX
fumecheng-7904	76	21	been	be	AUX
fumecheng-7904	76	22	considered	consider	VERB
fumecheng-7904	76	23	by	by	ADP
fumecheng-7904	76	24	the	the	DET
fumecheng-7904	76	25	past	past	ADJ
fumecheng-7904	76	26	researchers	researcher	NOUN
fumecheng-7904	76	27	.	.	PUNCT
fumecheng-7904	77	1	in	in	ADP
fumecheng-7904	77	2	this	this	DET
fumecheng-7904	77	3	paper	paper	NOUN
fumecheng-7904	77	4	,	,	PUNCT
fumecheng-7904	77	5	five	five	NUM
fumecheng-7904	77	6	statistical	statistical	ADJ
fumecheng-7904	77	7	metrics	metric	NOUN
fumecheng-7904	77	8	in	in	ADP
fumecheng-7904	77	9	the	the	DET
fumecheng-7904	77	10	form	form	NOUN
fumecheng-7904	77	11	of	of	ADP
fumecheng-7904	77	12	mean	mean	ADJ
fumecheng-7904	77	13	absolute	absolute	ADJ
fumecheng-7904	77	14	percentage	percentage	NOUN
fumecheng-7904	77	15	error	error	NOUN
fumecheng-7904	77	16	(	(	PUNCT
fumecheng-7904	77	17	mape	mape	NOUN
fumecheng-7904	77	18	)	)	PUNCT
fumecheng-7904	77	19	,	,	PUNCT
fumecheng-7904	77	20	root	root	NOUN
fumecheng-7904	77	21	mean	mean	VERB
fumecheng-7904	77	22	squared	square	VERB
fumecheng-7904	77	23	percentage	percentage	NOUN
fumecheng-7904	77	24	error	error	NOUN
fumecheng-7904	77	25	(	(	PUNCT
fumecheng-7904	77	26	rmspe	rmspe	PROPN
fumecheng-7904	77	27	)	)	PUNCT
fumecheng-7904	77	28	,	,	PUNCT
fumecheng-7904	77	29	root	root	NOUN
fumecheng-7904	77	30	mean	mean	VERB
fumecheng-7904	77	31	squared	square	VERB
fumecheng-7904	77	32	log	log	NOUN
fumecheng-7904	77	33	error	error	NOUN
fumecheng-7904	77	34	(	(	PUNCT
fumecheng-7904	77	35	rmsle	rmsle	PROPN
fumecheng-7904	77	36	)	)	PUNCT
fumecheng-7904	77	37	,	,	PUNCT
fumecheng-7904	77	38	correlation	correlation	NOUN
fumecheng-7904	77	39	coefficient	coefficient	NOUN
fumecheng-7904	77	40	(	(	PUNCT
fumecheng-7904	77	41	r	r	NOUN
fumecheng-7904	77	42	)	)	PUNCT
fumecheng-7904	77	43	and	and	CCONJ
fumecheng-7904	77	44	root	root	VERB
fumecheng-7904	77	45	relative	relative	ADJ
fumecheng-7904	77	46	squared	square	VERB
fumecheng-7904	77	47	error	error	NOUN
fumecheng-7904	77	48	(	(	PUNCT
fumecheng-7904	77	49	rrse	rrse	NOUN
fumecheng-7904	77	50	)	)	PUNCT
fumecheng-7904	77	51	are	be	AUX
fumecheng-7904	77	52	taken	take	VERB
fumecheng-7904	77	53	into	into	ADP
fumecheng-7904	77	54	account	account	NOUN
fumecheng-7904	77	55	to	to	PART
fumecheng-7904	77	56	evaluate	evaluate	VERB
fumecheng-7904	77	57	the	the	DET
fumecheng-7904	77	58	performance	performance	NOUN
fumecheng-7904	77	59	of	of	ADP
fumecheng-7904	77	60	the	the	DET
fumecheng-7904	77	61	rf	rf	NOUN
fumecheng-7904	77	62	regressor	regressor	NOUN
fumecheng-7904	77	63	as	as	ADP
fumecheng-7904	77	64	an	an	DET
fumecheng-7904	77	65	effective	effective	ADJ
fumecheng-7904	77	66	prediction	prediction	NOUN
fumecheng-7904	77	67	tool	tool	NOUN
fumecheng-7904	77	68	during	during	ADP
fumecheng-7904	77	69	cnc	cnc	PROPN
fumecheng-7904	77	70	face	face	NOUN
fumecheng-7904	77	71	milling	mill	VERB
fumecheng-7904	77	72	operation	operation	NOUN
fumecheng-7904	77	73	.	.	PUNCT
fumecheng-7904	78	1	prediction	prediction	NOUN
fumecheng-7904	78	2	of	of	ADP
fumecheng-7904	78	3	responses	response	NOUN
fumecheng-7904	78	4	in	in	ADP
fumecheng-7904	78	5	a	a	DET
fumecheng-7904	78	6	cnc	cnc	PROPN
fumecheng-7904	78	7	milling	milling	NOUN
fumecheng-7904	78	8	operation	operation	NOUN
fumecheng-7904	78	9	using	use	VERB
fumecheng-7904	78	10	random	random	ADJ
fumecheng-7904	78	11	forest	forest	NOUN
fumecheng-7904	78	12	regressor	regressor	NOUN
fumecheng-7904	78	13	689	689	NUM
fumecheng-7904	78	14	table	table	NOUN
fumecheng-7904	78	15	2	2	NUM
fumecheng-7904	78	16	list	list	NOUN
fumecheng-7904	78	17	of	of	ADP
fumecheng-7904	78	18	milling	mill	VERB
fumecheng-7904	78	19	parameters	parameter	NOUN
fumecheng-7904	78	20	,	,	PUNCT
fumecheng-7904	78	21	responses	response	NOUN
fumecheng-7904	78	22	and	and	CCONJ
fumecheng-7904	78	23	prediction	prediction	NOUN
fumecheng-7904	78	24	tools	tool	NOUN
fumecheng-7904	78	25	considered	consider	VERB
fumecheng-7904	78	26	by	by	ADP
fumecheng-7904	78	27	the	the	DET
fumecheng-7904	78	28	past	past	ADJ
fumecheng-7904	78	29	researchers	researcher	NOUN
fumecheng-7904	78	30	author(s	author(s	NOUN
fumecheng-7904	78	31	)	)	PUNCT
fumecheng-7904	78	32	milling	mill	VERB
fumecheng-7904	78	33	parameters	parameter	NOUN
fumecheng-7904	78	34	response(s	response(s	NOUN
fumecheng-7904	78	35	)	)	PUNCT
fumecheng-7904	78	36	prediction	prediction	NOUN
fumecheng-7904	78	37	model(s	model(s	PROPN
fumecheng-7904	78	38	)	)	PUNCT
fumecheng-7904	78	39	lo	lo	NOUN
fumecheng-7904	79	1	[	[	X
fumecheng-7904	79	2	6	6	NUM
fumecheng-7904	79	3	]	]	SYM
fumecheng-7904	79	4	s	s	X
fumecheng-7904	79	5	,	,	PUNCT
fumecheng-7904	79	6	f	f	PROPN
fumecheng-7904	79	7	,	,	PUNCT
fumecheng-7904	79	8	ap	ap	PROPN
fumecheng-7904	79	9	ra	ra	PROPN
fumecheng-7904	79	10	anfis	anfis	PROPN
fumecheng-7904	79	11	radhakrihnan	radhakrihnan	NOUN
fumecheng-7904	79	12	and	and	CCONJ
fumecheng-7904	79	13	nandan	nandan	PROPN
fumecheng-7904	80	1	[	[	X
fumecheng-7904	80	2	7	7	NUM
fumecheng-7904	80	3	]	]	SYM
fumecheng-7904	80	4	s	s	X
fumecheng-7904	80	5	,	,	PUNCT
fumecheng-7904	80	6	f	f	PROPN
fumecheng-7904	80	7	,	,	PUNCT
fumecheng-7904	80	8	ap	ap	PROPN
fumecheng-7904	80	9	fc	fc	PROPN
fumecheng-7904	80	10	regression	regression	VERB
fumecheng-7904	80	11	analysis	analysis	NOUN
fumecheng-7904	80	12	,	,	PUNCT
fumecheng-7904	80	13	ann	ann	PROPN
fumecheng-7904	80	14	ozcelik	ozcelik	PROPN
fumecheng-7904	80	15	and	and	CCONJ
fumecheng-7904	80	16	bayramoglu	bayramoglu	NOUN
fumecheng-7904	80	17	[	[	X
fumecheng-7904	80	18	8	8	NUM
fumecheng-7904	80	19	]	]	SYM
fumecheng-7904	80	20	s	s	PROPN
fumecheng-7904	80	21	,	,	PUNCT
fumecheng-7904	80	22	ap	ap	PROPN
fumecheng-7904	80	23	,	,	PUNCT
fumecheng-7904	80	24	f	f	AUX
fumecheng-7904	80	25	,	,	PUNCT
fumecheng-7904	80	26	step	step	VERB
fumecheng-7904	80	27	over	over	ADP
fumecheng-7904	80	28	ra	ra	PROPN
fumecheng-7904	80	29	regression	regression	NOUN
fumecheng-7904	80	30	analysis	analysis	NOUN
fumecheng-7904	80	31	lela	lela	PROPN
fumecheng-7904	80	32	et	et	PROPN
fumecheng-7904	80	33	al	al	PROPN
fumecheng-7904	80	34	.	.	PUNCT
fumecheng-7904	81	1	[	[	X
fumecheng-7904	81	2	9	9	NUM
fumecheng-7904	81	3	]	]	SYM
fumecheng-7904	81	4	n	n	CCONJ
fumecheng-7904	81	5	,	,	PUNCT
fumecheng-7904	81	6	f	f	X
fumecheng-7904	81	7	,	,	PUNCT
fumecheng-7904	81	8	ap	ap	PROPN
fumecheng-7904	81	9	ra	ra	PROPN
fumecheng-7904	81	10	regression	regression	NOUN
fumecheng-7904	81	11	analysis	analysis	NOUN
fumecheng-7904	81	12	,	,	PUNCT
fumecheng-7904	81	13	svr	svr	PROPN
fumecheng-7904	81	14	,	,	PUNCT
fumecheng-7904	81	15	bayesian	bayesian	NOUN
fumecheng-7904	81	16	neural	neural	ADJ
fumecheng-7904	81	17	network	network	NOUN
fumecheng-7904	81	18	rashid	rashid	PROPN
fumecheng-7904	81	19	et	et	PROPN
fumecheng-7904	81	20	al	al	PROPN
fumecheng-7904	81	21	.	.	PUNCT
fumecheng-7904	82	1	[	[	X
fumecheng-7904	82	2	10	10	NUM
fumecheng-7904	82	3	]	]	SYM
fumecheng-7904	82	4	s	s	X
fumecheng-7904	82	5	,	,	PUNCT
fumecheng-7904	82	6	f	f	PROPN
fumecheng-7904	82	7	,	,	PUNCT
fumecheng-7904	82	8	ap	ap	PROPN
fumecheng-7904	82	9	ra	ra	PROPN
fumecheng-7904	82	10	regression	regression	NOUN
fumecheng-7904	82	11	analysis	analysis	NOUN
fumecheng-7904	82	12	dave	dave	PROPN
fumecheng-7904	82	13	and	and	CCONJ
fumecheng-7904	82	14	raval	raval	NOUN
fumecheng-7904	83	1	[	[	X
fumecheng-7904	83	2	11	11	NUM
fumecheng-7904	83	3	]	]	PUNCT
fumecheng-7904	83	4	n	n	CCONJ
fumecheng-7904	83	5	,	,	PUNCT
fumecheng-7904	83	6	f	f	PROPN
fumecheng-7904	83	7	,	,	PUNCT
fumecheng-7904	83	8	ap	ap	PROPN
fumecheng-7904	83	9	fx	fx	PROPN
fumecheng-7904	83	10	,	,	PUNCT
fumecheng-7904	83	11	fy	fy	PROPN
fumecheng-7904	83	12	(	(	PUNCT
fumecheng-7904	83	13	cutting	cut	VERB
fumecheng-7904	83	14	force	force	NOUN
fumecheng-7904	83	15	along	along	ADP
fumecheng-7904	83	16	x	x	PUNCT
fumecheng-7904	83	17	and	and	CCONJ
fumecheng-7904	83	18	y	y	PROPN
fumecheng-7904	83	19	directions	direction	NOUN
fumecheng-7904	83	20	)	)	PUNCT
fumecheng-7904	83	21	regression	regression	NOUN
fumecheng-7904	83	22	analysis	analysis	NOUN
fumecheng-7904	83	23	,	,	PUNCT
fumecheng-7904	83	24	ann	ann	PROPN
fumecheng-7904	83	25	sharkawy	sharkawy	PROPN
fumecheng-7904	84	1	[	[	X
fumecheng-7904	84	2	12	12	NUM
fumecheng-7904	84	3	]	]	X
fumecheng-7904	84	4	s	s	PROPN
fumecheng-7904	84	5	,	,	PUNCT
fumecheng-7904	84	6	f	f	PROPN
fumecheng-7904	84	7	,	,	PUNCT
fumecheng-7904	84	8	ap	ap	PROPN
fumecheng-7904	84	9	ra	ra	PROPN
fumecheng-7904	84	10	anfis	anfis	PROPN
fumecheng-7904	84	11	,	,	PUNCT
fumecheng-7904	84	12	radial	radial	ADJ
fumecheng-7904	84	13	basis	basis	NOUN
fumecheng-7904	84	14	function	function	NOUN
fumecheng-7904	84	15	network	network	NOUN
fumecheng-7904	84	16	,	,	PUNCT
fumecheng-7904	84	17	genetically	genetically	ADV
fumecheng-7904	84	18	evolved	evolve	VERB
fumecheng-7904	84	19	fuzzy	fuzzy	ADJ
fumecheng-7904	84	20	inference	inference	NOUN
fumecheng-7904	84	21	system	system	NOUN
fumecheng-7904	84	22	durakbaşa	durakbaşa	X
fumecheng-7904	84	23	et	et	PROPN
fumecheng-7904	84	24	al	al	PROPN
fumecheng-7904	84	25	.	.	PUNCT
fumecheng-7904	85	1	[	[	X
fumecheng-7904	85	2	13	13	NUM
fumecheng-7904	85	3	]	]	SYM
fumecheng-7904	85	4	n	n	CCONJ
fumecheng-7904	85	5	,	,	PUNCT
fumecheng-7904	85	6	ap	ap	PROPN
fumecheng-7904	85	7	,	,	PUNCT
fumecheng-7904	85	8	f	f	PROPN
fumecheng-7904	85	9	ra	ra	PROPN
fumecheng-7904	85	10	regression	regression	VERB
fumecheng-7904	85	11	analysis	analysis	NOUN
fumecheng-7904	85	12	zhang	zhang	PROPN
fumecheng-7904	85	13	et	et	PROPN
fumecheng-7904	85	14	al	al	PROPN
fumecheng-7904	85	15	.	.	PUNCT
fumecheng-7904	86	1	[	[	X
fumecheng-7904	86	2	14	14	NUM
fumecheng-7904	86	3	]	]	SYM
fumecheng-7904	86	4	s	s	PROPN
fumecheng-7904	86	5	,	,	PUNCT
fumecheng-7904	86	6	f	f	PROPN
fumecheng-7904	86	7	,	,	PUNCT
fumecheng-7904	86	8	ap	ap	PROPN
fumecheng-7904	86	9	ra	ra	PROPN
fumecheng-7904	86	10	gaussian	gaussian	ADJ
fumecheng-7904	86	11	process	process	NOUN
fumecheng-7904	86	12	regression	regression	NOUN
fumecheng-7904	86	13	rubeo	rubeo	NOUN
fumecheng-7904	86	14	and	and	CCONJ
fumecheng-7904	86	15	schmitz	schmitz	PROPN
fumecheng-7904	86	16	[	[	X
fumecheng-7904	86	17	15	15	NUM
fumecheng-7904	86	18	]	]	SYM
fumecheng-7904	86	19	s	s	X
fumecheng-7904	86	20	,	,	PUNCT
fumecheng-7904	86	21	feed	feed	NOUN
fumecheng-7904	86	22	per	per	ADP
fumecheng-7904	86	23	tooth	tooth	NOUN
fumecheng-7904	86	24	,	,	PUNCT
fumecheng-7904	86	25	radial	radial	ADJ
fumecheng-7904	86	26	immersion	immersion	NOUN
fumecheng-7904	86	27	fc	fc	PROPN
fumecheng-7904	86	28	regression	regression	VERB
fumecheng-7904	86	29	analysis	analysis	NOUN
fumecheng-7904	86	30	bandapalli	bandapalli	PROPN
fumecheng-7904	86	31	et	et	PROPN
fumecheng-7904	86	32	al	al	PROPN
fumecheng-7904	86	33	.	.	PUNCT
fumecheng-7904	87	1	[	[	X
fumecheng-7904	87	2	16	16	NUM
fumecheng-7904	87	3	]	]	SYM
fumecheng-7904	87	4	s	s	PROPN
fumecheng-7904	87	5	,	,	PUNCT
fumecheng-7904	87	6	f	f	PROPN
fumecheng-7904	87	7	,	,	PUNCT
fumecheng-7904	87	8	ap	ap	PROPN
fumecheng-7904	87	9	ra	ra	PROPN
fumecheng-7904	87	10	anfis	anfi	VERB
fumecheng-7904	87	11	yeganefar	yeganefar	ADV
fumecheng-7904	87	12	et	et	PROPN
fumecheng-7904	87	13	al	al	PROPN
fumecheng-7904	87	14	.	.	PUNCT
fumecheng-7904	88	1	[	[	X
fumecheng-7904	88	2	17	17	NUM
fumecheng-7904	88	3	]	]	SYM
fumecheng-7904	88	4	s	s	PROPN
fumecheng-7904	88	5	,	,	PUNCT
fumecheng-7904	88	6	f	f	NOUN
fumecheng-7904	88	7	,	,	PUNCT
fumecheng-7904	88	8	axial	axial	ADJ
fumecheng-7904	88	9	and	and	CCONJ
fumecheng-7904	88	10	radial	radial	ADJ
fumecheng-7904	88	11	depth	depth	NOUN
fumecheng-7904	88	12	of	of	ADP
fumecheng-7904	88	13	cut	cut	NOUN
fumecheng-7904	88	14	ra	ra	PROPN
fumecheng-7904	88	15	svr	svr	PROPN
fumecheng-7904	88	16	,	,	PUNCT
fumecheng-7904	88	17	ann	ann	PROPN
fumecheng-7904	88	18	,	,	PUNCT
fumecheng-7904	88	19	regression	regression	VERB
fumecheng-7904	88	20	analysis	analysis	NOUN
fumecheng-7904	88	21	lin	lin	PROPN
fumecheng-7904	88	22	et	et	PROPN
fumecheng-7904	88	23	al	al	PROPN
fumecheng-7904	88	24	.	.	PUNCT
fumecheng-7904	89	1	[	[	X
fumecheng-7904	89	2	18	18	NUM
fumecheng-7904	89	3	]	]	SYM
fumecheng-7904	89	4	s	s	X
fumecheng-7904	89	5	,	,	PUNCT
fumecheng-7904	89	6	f	f	PROPN
fumecheng-7904	89	7	,	,	PUNCT
fumecheng-7904	89	8	ap	ap	PROPN
fumecheng-7904	89	9	ra	ra	PROPN
fumecheng-7904	89	10	regression	regression	NOUN
fumecheng-7904	89	11	analysis	analysis	NOUN
fumecheng-7904	89	12	,	,	PUNCT
fumecheng-7904	89	13	ann	ann	PROPN
fumecheng-7904	89	14	this	this	DET
fumecheng-7904	89	15	paper	paper	NOUN
fumecheng-7904	89	16	n	n	CCONJ
fumecheng-7904	89	17	,	,	PUNCT
fumecheng-7904	89	18	f	f	PROPN
fumecheng-7904	89	19	,	,	PUNCT
fumecheng-7904	89	20	ap	ap	PROPN
fumecheng-7904	89	21	,	,	PUNCT
fumecheng-7904	89	22	ae	ae	PROPN
fumecheng-7904	89	23	mrr	mrr	PROPN
fumecheng-7904	89	24	,	,	PUNCT
fumecheng-7904	89	25	ra	ra	PROPN
fumecheng-7904	89	26	,	,	PUNCT
fumecheng-7904	89	27	aec	aec	PROPN
fumecheng-7904	89	28	rf	rf	PROPN
fumecheng-7904	89	29	regressor	regressor	PROPN
fumecheng-7904	89	30	table	table	NOUN
fumecheng-7904	89	31	3	3	NUM
fumecheng-7904	89	32	milling	milling	NOUN
fumecheng-7904	89	33	parameters	parameter	NOUN
fumecheng-7904	89	34	and	and	CCONJ
fumecheng-7904	89	35	their	their	PRON
fumecheng-7904	89	36	operating	operating	NOUN
fumecheng-7904	89	37	levels	level	NOUN
fumecheng-7904	89	38	[	[	X
fumecheng-7904	89	39	19	19	NUM
fumecheng-7904	89	40	]	]	PUNCT
fumecheng-7904	89	41	parameter	parameter	NOUN
fumecheng-7904	89	42	symbol	symbol	NOUN
fumecheng-7904	89	43	unit	unit	NOUN
fumecheng-7904	89	44	level	level	NOUN
fumecheng-7904	89	45	1	1	NUM
fumecheng-7904	89	46	level	level	NOUN
fumecheng-7904	89	47	2	2	NUM
fumecheng-7904	89	48	level	level	NOUN
fumecheng-7904	89	49	3	3	NUM
fumecheng-7904	89	50	cutting	cut	VERB
fumecheng-7904	89	51	speed	speed	NOUN
fumecheng-7904	89	52	n	n	CCONJ
fumecheng-7904	89	53	rev	rev	ADJ
fumecheng-7904	89	54	/	/	SYM
fumecheng-7904	89	55	min	min	NOUN
fumecheng-7904	89	56	1200	1200	NUM
fumecheng-7904	89	57	1700	1700	NUM
fumecheng-7904	89	58	2200	2200	NUM
fumecheng-7904	89	59	feed	feed	NOUN
fumecheng-7904	89	60	rate	rate	NOUN
fumecheng-7904	89	61	f	f	PROPN
fumecheng-7904	89	62	mm	mm	PROPN
fumecheng-7904	89	63	/	/	SYM
fumecheng-7904	89	64	min	min	PROPN
fumecheng-7904	89	65	220	220	NUM
fumecheng-7904	89	66	270	270	NUM
fumecheng-7904	89	67	320	320	NUM
fumecheng-7904	89	68	depth	depth	NOUN
fumecheng-7904	89	69	of	of	ADP
fumecheng-7904	89	70	cut	cut	NOUN
fumecheng-7904	89	71	ap	ap	PROPN
fumecheng-7904	89	72	mm	mm	PROPN
fumecheng-7904	89	73	0.3	0.3	NUM
fumecheng-7904	89	74	0.4	0.4	NUM
fumecheng-7904	89	75	0.5	0.5	NUM
fumecheng-7904	89	76	width	width	NOUN
fumecheng-7904	89	77	of	of	ADP
fumecheng-7904	89	78	cut	cut	NOUN
fumecheng-7904	89	79	ae	ae	PROPN
fumecheng-7904	89	80	mm	mm	PROPN
fumecheng-7904	89	81	5	5	NUM
fumecheng-7904	89	82	10	10	NUM
fumecheng-7904	89	83	15	15	NUM
fumecheng-7904	89	84	690	690	NUM
fumecheng-7904	89	85	s.	s.	PROPN
fumecheng-7904	89	86	bhattacharya	bhattacharya	PROPN
fumecheng-7904	89	87	,	,	PUNCT
fumecheng-7904	89	88	s.	s.	PROPN
fumecheng-7904	89	89	chakraborty	chakraborty	PROPN
fumecheng-7904	90	1	3	3	X
fumecheng-7904	90	2	.	.	PUNCT
fumecheng-7904	91	1	experimental	experimental	ADJ
fumecheng-7904	91	2	data	datum	NOUN
fumecheng-7904	91	3	using	use	VERB
fumecheng-7904	91	4	a	a	DET
fumecheng-7904	91	5	cnc	cnc	ADJ
fumecheng-7904	91	6	machine	machine	NOUN
fumecheng-7904	91	7	tool	tool	NOUN
fumecheng-7904	91	8	(	(	PUNCT
fumecheng-7904	91	9	carver	carver	NOUN
fumecheng-7904	91	10	400m_rt	400m_rt	NUM
fumecheng-7904	91	11	)	)	PUNCT
fumecheng-7904	91	12	with	with	ADP
fumecheng-7904	91	13	a	a	DET
fumecheng-7904	91	14	spindle	spindle	NOUN
fumecheng-7904	91	15	power	power	NOUN
fumecheng-7904	91	16	of	of	ADP
fumecheng-7904	91	17	5.6	5.6	NUM
fumecheng-7904	91	18	kw	kw	NOUN
fumecheng-7904	91	19	and	and	CCONJ
fumecheng-7904	91	20	a	a	DET
fumecheng-7904	91	21	maximum	maximum	ADJ
fumecheng-7904	91	22	rotational	rotational	ADJ
fumecheng-7904	91	23	speed	speed	NOUN
fumecheng-7904	91	24	of	of	ADP
fumecheng-7904	91	25	6000	6000	NUM
fumecheng-7904	91	26	rpm	rpm	NOUN
fumecheng-7904	91	27	,	,	PUNCT
fumecheng-7904	91	28	khan	khan	PROPN
fumecheng-7904	91	29	et	et	PROPN
fumecheng-7904	91	30	al	al	PROPN
fumecheng-7904	91	31	.	.	PUNCT
fumecheng-7904	92	1	[	[	X
fumecheng-7904	92	2	19	19	NUM
fumecheng-7904	92	3	]	]	PUNCT
fumecheng-7904	92	4	performed	perform	VERB
fumecheng-7904	92	5	face	face	NOUN
fumecheng-7904	92	6	milling	mill	VERB
fumecheng-7904	92	7	operations	operation	NOUN
fumecheng-7904	92	8	on	on	ADP
fumecheng-7904	92	9	aisi-1045	aisi-1045	ADJ
fumecheng-7904	92	10	steel	steel	NOUN
fumecheng-7904	92	11	material	material	NOUN
fumecheng-7904	92	12	.	.	PUNCT
fumecheng-7904	93	1	a	a	DET
fumecheng-7904	93	2	three	three	NUM
fumecheng-7904	93	3	-	-	PUNCT
fumecheng-7904	93	4	fluted	flute	VERB
fumecheng-7904	93	5	carbide	carbide	NOUN
fumecheng-7904	93	6	cutting	cut	VERB
fumecheng-7904	93	7	tool	tool	NOUN
fumecheng-7904	93	8	with	with	ADP
fumecheng-7904	93	9	24	24	NUM
fumecheng-7904	93	10	mm	mm	PROPN
fumecheng-7904	93	11	diameter	diameter	NOUN
fumecheng-7904	93	12	was	be	AUX
fumecheng-7904	93	13	deployed	deploy	VERB
fumecheng-7904	93	14	for	for	ADP
fumecheng-7904	93	15	the	the	DET
fumecheng-7904	93	16	milling	milling	NOUN
fumecheng-7904	93	17	operations	operation	NOUN
fumecheng-7904	93	18	.	.	PUNCT
fumecheng-7904	94	1	during	during	ADP
fumecheng-7904	94	2	the	the	DET
fumecheng-7904	94	3	milling	milling	NOUN
fumecheng-7904	94	4	operation	operation	NOUN
fumecheng-7904	94	5	,	,	PUNCT
fumecheng-7904	94	6	four	four	NUM
fumecheng-7904	94	7	input	input	NOUN
fumecheng-7904	94	8	parameters	parameter	NOUN
fumecheng-7904	94	9	,	,	PUNCT
fumecheng-7904	94	10	i.e.	i.e.	X
fumecheng-7904	94	11	n	n	CCONJ
fumecheng-7904	94	12	,	,	PUNCT
fumecheng-7904	94	13	f	f	PROPN
fumecheng-7904	94	14	,	,	PUNCT
fumecheng-7904	94	15	ap	ap	PROPN
fumecheng-7904	94	16	and	and	CCONJ
fumecheng-7904	94	17	ae	ae	PROPN
fumecheng-7904	94	18	were	be	AUX
fumecheng-7904	94	19	considered	consider	VERB
fumecheng-7904	94	20	and	and	CCONJ
fumecheng-7904	94	21	their	their	PRON
fumecheng-7904	94	22	settings	setting	NOUN
fumecheng-7904	94	23	were	be	AUX
fumecheng-7904	94	24	varied	varied	ADJ
fumecheng-7904	94	25	at	at	ADP
fumecheng-7904	94	26	three	three	NUM
fumecheng-7904	94	27	different	different	ADJ
fumecheng-7904	94	28	operating	operating	NOUN
fumecheng-7904	94	29	levels	level	NOUN
fumecheng-7904	94	30	.	.	PUNCT
fumecheng-7904	95	1	those	those	DET
fumecheng-7904	95	2	input	input	NOUN
fumecheng-7904	95	3	milling	milling	NOUN
fumecheng-7904	95	4	parameters	parameter	NOUN
fumecheng-7904	95	5	and	and	CCONJ
fumecheng-7904	95	6	their	their	PRON
fumecheng-7904	95	7	varying	vary	VERB
fumecheng-7904	95	8	operating	operate	VERB
fumecheng-7904	95	9	levels	level	NOUN
fumecheng-7904	95	10	are	be	AUX
fumecheng-7904	95	11	shown	show	VERB
fumecheng-7904	95	12	in	in	ADP
fumecheng-7904	95	13	table	table	NOUN
fumecheng-7904	95	14	3	3	NUM
fumecheng-7904	95	15	.	.	PUNCT
fumecheng-7904	95	16	based	base	VERB
fumecheng-7904	95	17	on	on	ADP
fumecheng-7904	95	18	l27	l27	ADJ
fumecheng-7904	95	19	orthogonal	orthogonal	ADJ
fumecheng-7904	95	20	array	array	NOUN
fumecheng-7904	95	21	,	,	PUNCT
fumecheng-7904	95	22	27	27	NUM
fumecheng-7904	95	23	experiments	experiment	NOUN
fumecheng-7904	95	24	were	be	AUX
fumecheng-7904	95	25	conducted	conduct	VERB
fumecheng-7904	95	26	while	while	SCONJ
fumecheng-7904	95	27	treating	treat	VERB
fumecheng-7904	95	28	mrr	mrr	NOUN
fumecheng-7904	95	29	(	(	PUNCT
fumecheng-7904	95	30	mm3	mm3	PROPN
fumecheng-7904	95	31	/	/	SYM
fumecheng-7904	95	32	min	min	NOUN
fumecheng-7904	95	33	)	)	PUNCT
fumecheng-7904	95	34	,	,	PUNCT
fumecheng-7904	95	35	ra	ra	PROPN
fumecheng-7904	95	36	(	(	PUNCT
fumecheng-7904	95	37	µm	µm	NOUN
fumecheng-7904	95	38	)	)	PUNCT
fumecheng-7904	95	39	and	and	CCONJ
fumecheng-7904	95	40	aec	aec	PROPN
fumecheng-7904	95	41	(	(	PUNCT
fumecheng-7904	95	42	kj	kj	PROPN
fumecheng-7904	95	43	)	)	PUNCT
fumecheng-7904	95	44	as	as	ADP
fumecheng-7904	95	45	the	the	DET
fumecheng-7904	95	46	process	process	NOUN
fumecheng-7904	95	47	outputs	output	NOUN
fumecheng-7904	95	48	/	/	SYM
fumecheng-7904	95	49	responses	response	NOUN
fumecheng-7904	95	50	.	.	PUNCT
fumecheng-7904	96	1	the	the	DET
fumecheng-7904	96	2	experimental	experimental	ADJ
fumecheng-7904	96	3	plan	plan	NOUN
fumecheng-7904	96	4	and	and	CCONJ
fumecheng-7904	96	5	values	value	NOUN
fumecheng-7904	96	6	of	of	ADP
fumecheng-7904	96	7	the	the	DET
fumecheng-7904	96	8	measured	measure	VERB
fumecheng-7904	96	9	responses	response	NOUN
fumecheng-7904	96	10	are	be	AUX
fumecheng-7904	96	11	exhibited	exhibit	VERB
fumecheng-7904	96	12	in	in	ADP
fumecheng-7904	96	13	table	table	NOUN
fumecheng-7904	96	14	4	4	NUM
fumecheng-7904	96	15	.	.	PUNCT
fumecheng-7904	96	16	during	during	ADP
fumecheng-7904	96	17	the	the	DET
fumecheng-7904	96	18	application	application	NOUN
fumecheng-7904	96	19	of	of	ADP
fumecheng-7904	96	20	the	the	DET
fumecheng-7904	96	21	rf	rf	NOUN
fumecheng-7904	96	22	regressor	regressor	NOUN
fumecheng-7904	96	23	as	as	ADP
fumecheng-7904	96	24	a	a	DET
fumecheng-7904	96	25	prediction	prediction	NOUN
fumecheng-7904	96	26	tool	tool	NOUN
fumecheng-7904	96	27	for	for	ADP
fumecheng-7904	96	28	this	this	DET
fumecheng-7904	96	29	cnc	cnc	ADJ
fumecheng-7904	96	30	face	face	NOUN
fumecheng-7904	96	31	milling	mill	VERB
fumecheng-7904	96	32	operation	operation	NOUN
fumecheng-7904	96	33	,	,	PUNCT
fumecheng-7904	96	34	among	among	ADP
fumecheng-7904	96	35	the	the	DET
fumecheng-7904	96	36	27	27	NUM
fumecheng-7904	96	37	experimental	experimental	ADJ
fumecheng-7904	96	38	runs	run	NOUN
fumecheng-7904	96	39	,	,	PUNCT
fumecheng-7904	96	40	21	21	NUM
fumecheng-7904	96	41	trials	trial	NOUN
fumecheng-7904	96	42	are	be	AUX
fumecheng-7904	96	43	randomly	randomly	ADV
fumecheng-7904	96	44	selected	select	VERB
fumecheng-7904	96	45	for	for	ADP
fumecheng-7904	96	46	the	the	DET
fumecheng-7904	96	47	training	training	NOUN
fumecheng-7904	96	48	purpose	purpose	NOUN
fumecheng-7904	96	49	and	and	CCONJ
fumecheng-7904	96	50	the	the	DET
fumecheng-7904	96	51	remaining	remain	VERB
fumecheng-7904	96	52	six	six	NUM
fumecheng-7904	96	53	trials	trial	NOUN
fumecheng-7904	96	54	are	be	AUX
fumecheng-7904	96	55	considered	consider	VERB
fumecheng-7904	96	56	for	for	ADP
fumecheng-7904	96	57	testing	testing	NOUN
fumecheng-7904	96	58	of	of	ADP
fumecheng-7904	96	59	the	the	DET
fumecheng-7904	96	60	developed	develop	VERB
fumecheng-7904	96	61	model	model	NOUN
fumecheng-7904	96	62	.	.	PUNCT
fumecheng-7904	97	1	table	table	NOUN
fumecheng-7904	97	2	4	4	NUM
fumecheng-7904	97	3	experimental	experimental	ADJ
fumecheng-7904	97	4	dataset	dataset	NOUN
fumecheng-7904	98	1	[	[	X
fumecheng-7904	98	2	19	19	NUM
fumecheng-7904	98	3	]	]	X
fumecheng-7904	98	4	sl	sl	NOUN
fumecheng-7904	98	5	.	.	PUNCT
fumecheng-7904	98	6	no	no	INTJ
fumecheng-7904	98	7	.	.	PUNCT
fumecheng-7904	99	1	n	n	CCONJ
fumecheng-7904	100	1	f	f	PROPN
fumecheng-7904	100	2	ap	ap	PROPN
fumecheng-7904	101	1	ae	ae	PROPN
fumecheng-7904	101	2	mrr	mrr	PROPN
fumecheng-7904	101	3	ra	ra	PROPN
fumecheng-7904	101	4	aec	aec	PROPN
fumecheng-7904	101	5	purpose	purpose	NOUN
fumecheng-7904	101	6	1	1	NUM
fumecheng-7904	101	7	1200	1200	NUM
fumecheng-7904	101	8	220	220	NUM
fumecheng-7904	101	9	0.3	0.3	NUM
fumecheng-7904	101	10	5	5	NUM
fumecheng-7904	101	11	330	330	NUM
fumecheng-7904	101	12	3.30	3.30	NUM
fumecheng-7904	101	13	535.802	535.802	NUM
fumecheng-7904	101	14	training	train	VERB
fumecheng-7904	101	15	2	2	NUM
fumecheng-7904	101	16	1200	1200	NUM
fumecheng-7904	101	17	220	220	NUM
fumecheng-7904	101	18	0.4	0.4	NUM
fumecheng-7904	101	19	10	10	NUM
fumecheng-7904	101	20	880	880	NUM
fumecheng-7904	101	21	2.95	2.95	NUM
fumecheng-7904	101	22	184.929	184.929	NUM
fumecheng-7904	101	23	training	train	VERB
fumecheng-7904	101	24	3	3	NUM
fumecheng-7904	101	25	1200	1200	NUM
fumecheng-7904	101	26	220	220	NUM
fumecheng-7904	101	27	0.5	0.5	NUM
fumecheng-7904	101	28	15	15	NUM
fumecheng-7904	101	29	1650	1650	NUM
fumecheng-7904	101	30	1.41	1.41	NUM
fumecheng-7904	101	31	88.519	88.519	NUM
fumecheng-7904	101	32	training	training	NOUN
fumecheng-7904	101	33	4	4	NUM
fumecheng-7904	101	34	1200	1200	NUM
fumecheng-7904	101	35	270	270	NUM
fumecheng-7904	101	36	0.3	0.3	NUM
fumecheng-7904	101	37	5	5	NUM
fumecheng-7904	101	38	405	405	NUM
fumecheng-7904	101	39	3.83	3.83	NUM
fumecheng-7904	101	40	426.109	426.109	NUM
fumecheng-7904	101	41	training	train	VERB
fumecheng-7904	101	42	5	5	NUM
fumecheng-7904	101	43	1200	1200	NUM
fumecheng-7904	101	44	270	270	NUM
fumecheng-7904	101	45	0.4	0.4	NUM
fumecheng-7904	101	46	10	10	NUM
fumecheng-7904	101	47	1080	1080	NUM
fumecheng-7904	101	48	3.87	3.87	NUM
fumecheng-7904	101	49	146.050	146.050	NUM
fumecheng-7904	101	50	testing	testing	NOUN
fumecheng-7904	101	51	6	6	NUM
fumecheng-7904	101	52	1200	1200	NUM
fumecheng-7904	101	53	270	270	NUM
fumecheng-7904	101	54	0.5	0.5	NUM
fumecheng-7904	101	55	15	15	NUM
fumecheng-7904	101	56	2025	2025	NUM
fumecheng-7904	101	57	1.68	1.68	NUM
fumecheng-7904	101	58	69.823	69.823	NUM
fumecheng-7904	101	59	training	train	VERB
fumecheng-7904	101	60	7	7	NUM
fumecheng-7904	101	61	1200	1200	NUM
fumecheng-7904	101	62	320	320	NUM
fumecheng-7904	101	63	0.3	0.3	NUM
fumecheng-7904	101	64	5	5	NUM
fumecheng-7904	101	65	480	480	NUM
fumecheng-7904	101	66	3.97	3.97	NUM
fumecheng-7904	101	67	361.832	361.832	NUM
fumecheng-7904	101	68	training	training	NOUN
fumecheng-7904	101	69	8	8	NUM
fumecheng-7904	101	70	1200	1200	NUM
fumecheng-7904	101	71	320	320	NUM
fumecheng-7904	101	72	0.4	0.4	NUM
fumecheng-7904	101	73	10	10	NUM
fumecheng-7904	101	74	1280	1280	NUM
fumecheng-7904	101	75	3.53	3.53	NUM
fumecheng-7904	101	76	122.976	122.976	NUM
fumecheng-7904	101	77	testing	testing	NOUN
fumecheng-7904	101	78	9	9	NUM
fumecheng-7904	101	79	1200	1200	NUM
fumecheng-7904	101	80	320	320	NUM
fumecheng-7904	101	81	0.5	0.5	NUM
fumecheng-7904	101	82	15	15	NUM
fumecheng-7904	101	83	2400	2400	NUM
fumecheng-7904	101	84	2.29	2.29	NUM
fumecheng-7904	101	85	53.988	53.988	NUM
fumecheng-7904	101	86	training	training	NOUN
fumecheng-7904	101	87	10	10	NUM
fumecheng-7904	101	88	1700	1700	NUM
fumecheng-7904	101	89	220	220	NUM
fumecheng-7904	101	90	0.3	0.3	NUM
fumecheng-7904	101	91	10	10	NUM
fumecheng-7904	101	92	660	660	NUM
fumecheng-7904	101	93	1.81	1.81	NUM
fumecheng-7904	101	94	337.042	337.042	NUM
fumecheng-7904	101	95	training	train	VERB
fumecheng-7904	101	96	11	11	NUM
fumecheng-7904	101	97	1700	1700	NUM
fumecheng-7904	101	98	220	220	NUM
fumecheng-7904	101	99	0.4	0.4	NUM
fumecheng-7904	101	100	15	15	NUM
fumecheng-7904	101	101	1320	1320	NUM
fumecheng-7904	101	102	1.13	1.13	NUM
fumecheng-7904	101	103	142.727	142.727	NUM
fumecheng-7904	101	104	testing	testing	NOUN
fumecheng-7904	101	105	12	12	NUM
fumecheng-7904	101	106	1700	1700	NUM
fumecheng-7904	101	107	220	220	NUM
fumecheng-7904	101	108	0.5	0.5	NUM
fumecheng-7904	101	109	5	5	NUM
fumecheng-7904	101	110	550	550	NUM
fumecheng-7904	101	111	3.47	3.47	NUM
fumecheng-7904	101	112	299.031	299.031	NUM
fumecheng-7904	101	113	training	train	VERB
fumecheng-7904	101	114	13	13	NUM
fumecheng-7904	101	115	1700	1700	NUM
fumecheng-7904	101	116	270	270	NUM
fumecheng-7904	101	117	0.3	0.3	NUM
fumecheng-7904	101	118	10	10	NUM
fumecheng-7904	101	119	810	810	NUM
fumecheng-7904	101	120	2.85	2.85	NUM
fumecheng-7904	101	121	269.604	269.604	NUM
fumecheng-7904	101	122	training	training	NOUN
fumecheng-7904	101	123	14	14	NUM
fumecheng-7904	101	124	1700	1700	NUM
fumecheng-7904	101	125	270	270	NUM
fumecheng-7904	101	126	0.4	0.4	NUM
fumecheng-7904	101	127	15	15	NUM
fumecheng-7904	101	128	1620	1620	NUM
fumecheng-7904	101	129	1.41	1.41	NUM
fumecheng-7904	101	130	113.648	113.648	NUM
fumecheng-7904	101	131	training	train	VERB
fumecheng-7904	101	132	15	15	NUM
fumecheng-7904	101	133	1700	1700	NUM
fumecheng-7904	101	134	270	270	NUM
fumecheng-7904	101	135	0.5	0.5	NUM
fumecheng-7904	101	136	5	5	NUM
fumecheng-7904	101	137	675	675	NUM
fumecheng-7904	101	138	3.91	3.91	NUM
fumecheng-7904	101	139	238.476	238.476	NUM
fumecheng-7904	101	140	training	train	VERB
fumecheng-7904	101	141	16	16	NUM
fumecheng-7904	101	142	1700	1700	NUM
fumecheng-7904	101	143	320	320	NUM
fumecheng-7904	101	144	0.3	0.3	NUM
fumecheng-7904	101	145	10	10	NUM
fumecheng-7904	101	146	960	960	NUM
fumecheng-7904	101	147	2.55	2.55	NUM
fumecheng-7904	101	148	213.559	213.559	NUM
fumecheng-7904	101	149	testing	test	VERB
fumecheng-7904	101	150	17	17	NUM
fumecheng-7904	101	151	1700	1700	NUM
fumecheng-7904	101	152	320	320	NUM
fumecheng-7904	101	153	0.4	0.4	NUM
fumecheng-7904	101	154	15	15	NUM
fumecheng-7904	101	155	1920	1920	NUM
fumecheng-7904	101	156	1.39	1.39	NUM
fumecheng-7904	101	157	92.551	92.551	NUM
fumecheng-7904	101	158	training	train	VERB
fumecheng-7904	101	159	18	18	NUM
fumecheng-7904	101	160	1700	1700	NUM
fumecheng-7904	101	161	320	320	NUM
fumecheng-7904	101	162	0.5	0.5	NUM
fumecheng-7904	101	163	5	5	NUM
fumecheng-7904	101	164	800	800	NUM
fumecheng-7904	101	165	4.12	4.12	NUM
fumecheng-7904	101	166	193.109	193.109	NUM
fumecheng-7904	101	167	training	train	VERB
fumecheng-7904	101	168	19	19	NUM
fumecheng-7904	101	169	2200	2200	NUM
fumecheng-7904	101	170	220	220	NUM
fumecheng-7904	101	171	0.3	0.3	NUM
fumecheng-7904	101	172	15	15	NUM
fumecheng-7904	101	173	990	990	NUM
fumecheng-7904	101	174	1.76	1.76	NUM
fumecheng-7904	101	175	244.303	244.303	NUM
fumecheng-7904	101	176	training	train	VERB
fumecheng-7904	101	177	20	20	NUM
fumecheng-7904	101	178	2200	2200	NUM
fumecheng-7904	101	179	220	220	NUM
fumecheng-7904	101	180	0.4	0.4	NUM
fumecheng-7904	101	181	5	5	NUM
fumecheng-7904	101	182	440	440	NUM
fumecheng-7904	101	183	3.33	3.33	NUM
fumecheng-7904	101	184	425.797	425.797	NUM
fumecheng-7904	101	185	testing	testing	NOUN
fumecheng-7904	101	186	21	21	NUM
fumecheng-7904	101	187	2200	2200	NUM
fumecheng-7904	101	188	220	220	NUM
fumecheng-7904	101	189	0.5	0.5	NUM
fumecheng-7904	101	190	10	10	NUM
fumecheng-7904	101	191	1100	1100	NUM
fumecheng-7904	101	192	2.36	2.36	NUM
fumecheng-7904	101	193	165.620	165.620	NUM
fumecheng-7904	101	194	training	training	NOUN
fumecheng-7904	101	195	22	22	NUM
fumecheng-7904	101	196	2200	2200	NUM
fumecheng-7904	101	197	270	270	NUM
fumecheng-7904	101	198	0.3	0.3	NUM
fumecheng-7904	101	199	15	15	NUM
fumecheng-7904	101	200	1215	1215	NUM
fumecheng-7904	101	201	1.17	1.17	NUM
fumecheng-7904	101	202	193.939	193.939	NUM
fumecheng-7904	101	203	training	train	VERB
fumecheng-7904	101	204	23	23	NUM
fumecheng-7904	101	205	2200	2200	NUM
fumecheng-7904	101	206	270	270	NUM
fumecheng-7904	101	207	0.4	0.4	NUM
fumecheng-7904	101	208	5	5	NUM
fumecheng-7904	101	209	540	540	NUM
fumecheng-7904	101	210	3.72	3.72	NUM
fumecheng-7904	101	211	338.579	338.579	NUM
fumecheng-7904	101	212	training	train	VERB
fumecheng-7904	101	213	24	24	NUM
fumecheng-7904	101	214	2200	2200	NUM
fumecheng-7904	101	215	270	270	NUM
fumecheng-7904	101	216	0.5	0.5	NUM
fumecheng-7904	101	217	10	10	NUM
fumecheng-7904	101	218	1350	1350	NUM
fumecheng-7904	101	219	2.58	2.58	NUM
fumecheng-7904	101	220	131.343	131.343	NUM
fumecheng-7904	101	221	testing	test	VERB
fumecheng-7904	101	222	25	25	NUM
fumecheng-7904	101	223	2200	2200	NUM
fumecheng-7904	101	224	320	320	NUM
fumecheng-7904	101	225	0.3	0.3	NUM
fumecheng-7904	101	226	15	15	NUM
fumecheng-7904	101	227	1440	1440	NUM
fumecheng-7904	101	228	1.41	1.41	NUM
fumecheng-7904	101	229	160.886	160.886	NUM
fumecheng-7904	101	230	training	train	VERB
fumecheng-7904	101	231	26	26	NUM
fumecheng-7904	101	232	2200	2200	NUM
fumecheng-7904	101	233	320	320	NUM
fumecheng-7904	101	234	0.4	0.4	NUM
fumecheng-7904	101	235	5	5	NUM
fumecheng-7904	101	236	640	640	NUM
fumecheng-7904	101	237	3.86	3.86	NUM
fumecheng-7904	101	238	286.850	286.850	NUM
fumecheng-7904	101	239	training	train	VERB
fumecheng-7904	101	240	27	27	NUM
fumecheng-7904	101	241	2200	2200	NUM
fumecheng-7904	101	242	320	320	NUM
fumecheng-7904	101	243	0.5	0.5	NUM
fumecheng-7904	101	244	10	10	NUM
fumecheng-7904	101	245	1600	1600	NUM
fumecheng-7904	101	246	2.76	2.76	NUM
fumecheng-7904	101	247	108.147	108.147	NUM
fumecheng-7904	101	248	training	training	NOUN
fumecheng-7904	101	249	prediction	prediction	NOUN
fumecheng-7904	101	250	of	of	ADP
fumecheng-7904	101	251	responses	response	NOUN
fumecheng-7904	101	252	in	in	ADP
fumecheng-7904	101	253	a	a	DET
fumecheng-7904	101	254	cnc	cnc	PROPN
fumecheng-7904	101	255	milling	milling	NOUN
fumecheng-7904	101	256	operation	operation	NOUN
fumecheng-7904	101	257	using	use	VERB
fumecheng-7904	101	258	random	random	ADJ
fumecheng-7904	101	259	forest	forest	NOUN
fumecheng-7904	101	260	regressor	regressor	NOUN
fumecheng-7904	101	261	691	691	NUM
fumecheng-7904	101	262	4	4	NUM
fumecheng-7904	101	263	.	.	PUNCT
fumecheng-7904	101	264	application	application	NOUN
fumecheng-7904	101	265	of	of	ADP
fumecheng-7904	101	266	rf	rf	PRON
fumecheng-7904	101	267	as	as	ADP
fumecheng-7904	101	268	a	a	DET
fumecheng-7904	101	269	prediction	prediction	NOUN
fumecheng-7904	101	270	tool	tool	NOUN
fumecheng-7904	101	271	during	during	ADP
fumecheng-7904	101	272	any	any	DET
fumecheng-7904	101	273	machining	machining	NOUN
fumecheng-7904	101	274	operation	operation	NOUN
fumecheng-7904	101	275	,	,	PUNCT
fumecheng-7904	101	276	depending	depend	VERB
fumecheng-7904	101	277	on	on	ADP
fumecheng-7904	101	278	the	the	DET
fumecheng-7904	101	279	experimental	experimental	ADJ
fumecheng-7904	101	280	plan	plan	NOUN
fumecheng-7904	101	281	employed	employ	VERB
fumecheng-7904	101	282	,	,	PUNCT
fumecheng-7904	101	283	a	a	DET
fumecheng-7904	101	284	large	large	ADJ
fumecheng-7904	101	285	volume	volume	NOUN
fumecheng-7904	101	286	of	of	ADP
fumecheng-7904	101	287	useful	useful	ADJ
fumecheng-7904	101	288	dataset	dataset	NOUN
fumecheng-7904	101	289	is	be	AUX
fumecheng-7904	101	290	usually	usually	ADV
fumecheng-7904	101	291	generated	generate	VERB
fumecheng-7904	101	292	.	.	PUNCT
fumecheng-7904	102	1	to	to	PART
fumecheng-7904	102	2	better	well	ADV
fumecheng-7904	102	3	understand	understand	VERB
fumecheng-7904	102	4	the	the	DET
fumecheng-7904	102	5	machining	machining	NOUN
fumecheng-7904	102	6	operation	operation	NOUN
fumecheng-7904	102	7	and	and	CCONJ
fumecheng-7904	102	8	study	study	VERB
fumecheng-7904	102	9	the	the	DET
fumecheng-7904	102	10	influences	influence	NOUN
fumecheng-7904	102	11	of	of	ADP
fumecheng-7904	102	12	the	the	DET
fumecheng-7904	102	13	input	input	NOUN
fumecheng-7904	102	14	parameters	parameter	NOUN
fumecheng-7904	102	15	on	on	ADP
fumecheng-7904	102	16	the	the	DET
fumecheng-7904	102	17	responses	response	NOUN
fumecheng-7904	102	18	,	,	PUNCT
fumecheng-7904	102	19	a	a	DET
fumecheng-7904	102	20	suitable	suitable	ADJ
fumecheng-7904	102	21	model	model	NOUN
fumecheng-7904	102	22	needs	need	VERB
fumecheng-7904	102	23	to	to	PART
fumecheng-7904	102	24	be	be	AUX
fumecheng-7904	102	25	developed	develop	VERB
fumecheng-7904	102	26	so	so	ADV
fumecheng-7904	102	27	as	as	SCONJ
fumecheng-7904	102	28	to	to	PART
fumecheng-7904	102	29	extract	extract	VERB
fumecheng-7904	102	30	valuable	valuable	ADJ
fumecheng-7904	102	31	information	information	NOUN
fumecheng-7904	102	32	from	from	ADP
fumecheng-7904	102	33	the	the	DET
fumecheng-7904	102	34	experimental	experimental	ADJ
fumecheng-7904	102	35	dataset	dataset	NOUN
fumecheng-7904	102	36	.	.	PUNCT
fumecheng-7904	103	1	a	a	DET
fumecheng-7904	103	2	subfield	subfield	NOUN
fumecheng-7904	103	3	of	of	ADP
fumecheng-7904	103	4	artificial	artificial	ADJ
fumecheng-7904	103	5	intelligence	intelligence	NOUN
fumecheng-7904	103	6	which	which	PRON
fumecheng-7904	103	7	mainly	mainly	ADV
fumecheng-7904	103	8	focuses	focus	VERB
fumecheng-7904	103	9	on	on	ADP
fumecheng-7904	103	10	various	various	ADJ
fumecheng-7904	103	11	ways	way	NOUN
fumecheng-7904	103	12	of	of	ADP
fumecheng-7904	103	13	training	train	VERB
fumecheng-7904	103	14	the	the	DET
fumecheng-7904	103	15	machines	machine	NOUN
fumecheng-7904	103	16	for	for	ADP
fumecheng-7904	103	17	having	have	VERB
fumecheng-7904	103	18	a	a	DET
fumecheng-7904	103	19	better	well	ADJ
fumecheng-7904	103	20	understanding	understanding	NOUN
fumecheng-7904	103	21	of	of	ADP
fumecheng-7904	103	22	a	a	DET
fumecheng-7904	103	23	problem	problem	NOUN
fumecheng-7904	103	24	/	/	SYM
fumecheng-7904	103	25	system	system	NOUN
fumecheng-7904	103	26	,	,	PUNCT
fumecheng-7904	103	27	is	be	AUX
fumecheng-7904	103	28	called	call	VERB
fumecheng-7904	103	29	machine	machine	NOUN
fumecheng-7904	103	30	learning	learning	NOUN
fumecheng-7904	103	31	.	.	PUNCT
fumecheng-7904	104	1	as	as	SCONJ
fumecheng-7904	104	2	it	it	PRON
fumecheng-7904	104	3	can	can	AUX
fumecheng-7904	104	4	be	be	AUX
fumecheng-7904	104	5	interpreted	interpret	VERB
fumecheng-7904	104	6	,	,	PUNCT
fumecheng-7904	104	7	the	the	DET
fumecheng-7904	104	8	goal	goal	NOUN
fumecheng-7904	104	9	of	of	ADP
fumecheng-7904	104	10	a	a	DET
fumecheng-7904	104	11	machine	machine	NOUN
fumecheng-7904	104	12	learning	learn	VERB
fumecheng-7904	104	13	algorithm	algorithm	NOUN
fumecheng-7904	104	14	is	be	AUX
fumecheng-7904	104	15	to	to	PART
fumecheng-7904	104	16	better	well	ADV
fumecheng-7904	104	17	generalize	generalize	VERB
fumecheng-7904	104	18	an	an	DET
fumecheng-7904	104	19	existing	exist	VERB
fumecheng-7904	104	20	problem	problem	NOUN
fumecheng-7904	104	21	while	while	SCONJ
fumecheng-7904	104	22	providing	provide	VERB
fumecheng-7904	104	23	the	the	DET
fumecheng-7904	104	24	desired	desire	VERB
fumecheng-7904	104	25	solutions	solution	NOUN
fumecheng-7904	104	26	.	.	PUNCT
fumecheng-7904	105	1	to	to	PART
fumecheng-7904	105	2	achieve	achieve	VERB
fumecheng-7904	105	3	the	the	DET
fumecheng-7904	105	4	desired	desire	VERB
fumecheng-7904	105	5	outputs	output	NOUN
fumecheng-7904	105	6	,	,	PUNCT
fumecheng-7904	105	7	a	a	DET
fumecheng-7904	105	8	designer	designer	NOUN
fumecheng-7904	105	9	needs	need	VERB
fumecheng-7904	105	10	to	to	PART
fumecheng-7904	105	11	train	train	VERB
fumecheng-7904	105	12	different	different	ADJ
fumecheng-7904	105	13	learners	learner	NOUN
fumecheng-7904	105	14	.	.	PUNCT
fumecheng-7904	106	1	often	often	ADV
fumecheng-7904	106	2	,	,	PUNCT
fumecheng-7904	106	3	due	due	ADP
fumecheng-7904	106	4	to	to	ADP
fumecheng-7904	106	5	presence	presence	NOUN
fumecheng-7904	106	6	of	of	ADP
fumecheng-7904	106	7	noise	noise	NOUN
fumecheng-7904	106	8	in	in	ADP
fumecheng-7904	106	9	the	the	DET
fumecheng-7904	106	10	training	training	NOUN
fumecheng-7904	106	11	data	datum	NOUN
fumecheng-7904	106	12	,	,	PUNCT
fumecheng-7904	106	13	the	the	DET
fumecheng-7904	106	14	designed	design	VERB
fumecheng-7904	106	15	learners	learner	NOUN
fumecheng-7904	106	16	turn	turn	VERB
fumecheng-7904	106	17	out	out	ADP
fumecheng-7904	106	18	to	to	PART
fumecheng-7904	106	19	be	be	AUX
fumecheng-7904	106	20	occasionally	occasionally	ADV
fumecheng-7904	106	21	weak	weak	ADJ
fumecheng-7904	106	22	.	.	PUNCT
fumecheng-7904	107	1	ensemble	ensemble	ADJ
fumecheng-7904	107	2	learning	learning	NOUN
fumecheng-7904	107	3	is	be	AUX
fumecheng-7904	107	4	a	a	DET
fumecheng-7904	107	5	machine	machine	NOUN
fumecheng-7904	107	6	learning	learn	VERB
fumecheng-7904	107	7	archetype	archetype	NOUN
fumecheng-7904	107	8	[	[	X
fumecheng-7904	107	9	20	20	NUM
fumecheng-7904	107	10	]	]	PUNCT
fumecheng-7904	107	11	where	where	SCONJ
fumecheng-7904	107	12	multiple	multiple	ADJ
fumecheng-7904	107	13	learners	learner	NOUN
fumecheng-7904	107	14	are	be	AUX
fumecheng-7904	107	15	combined	combine	VERB
fumecheng-7904	107	16	together	together	ADV
fumecheng-7904	107	17	to	to	PART
fumecheng-7904	107	18	predict	predict	VERB
fumecheng-7904	107	19	the	the	DET
fumecheng-7904	107	20	response	response	NOUN
fumecheng-7904	107	21	values	value	NOUN
fumecheng-7904	107	22	.	.	PUNCT
fumecheng-7904	108	1	two	two	NUM
fumecheng-7904	108	2	of	of	ADP
fumecheng-7904	108	3	the	the	DET
fumecheng-7904	108	4	most	most	ADV
fumecheng-7904	108	5	commonly	commonly	ADV
fumecheng-7904	108	6	employed	employ	VERB
fumecheng-7904	108	7	ensemble	ensemble	ADJ
fumecheng-7904	108	8	learning	learning	NOUN
fumecheng-7904	108	9	approaches	approach	NOUN
fumecheng-7904	108	10	are	be	AUX
fumecheng-7904	108	11	bagging	bag	VERB
fumecheng-7904	108	12	and	and	CCONJ
fumecheng-7904	108	13	boosting	boost	VERB
fumecheng-7904	108	14	[	[	X
fumecheng-7904	108	15	21	21	NUM
fumecheng-7904	108	16	]	]	PUNCT
fumecheng-7904	108	17	.	.	PUNCT
fumecheng-7904	109	1	bagging	bagging	NOUN
fumecheng-7904	109	2	or	or	CCONJ
fumecheng-7904	109	3	bootstrap	bootstrap	NOUN
fumecheng-7904	109	4	aggregation	aggregation	NOUN
fumecheng-7904	109	5	is	be	AUX
fumecheng-7904	109	6	a	a	DET
fumecheng-7904	109	7	parallel	parallel	ADJ
fumecheng-7904	109	8	ensemble	ensemble	ADJ
fumecheng-7904	109	9	method	method	NOUN
fumecheng-7904	109	10	,	,	PUNCT
fumecheng-7904	109	11	whereas	whereas	SCONJ
fumecheng-7904	109	12	boosting	boost	VERB
fumecheng-7904	109	13	is	be	AUX
fumecheng-7904	109	14	considered	consider	VERB
fumecheng-7904	109	15	as	as	ADP
fumecheng-7904	109	16	a	a	DET
fumecheng-7904	109	17	sequential	sequential	ADJ
fumecheng-7904	109	18	ensemble	ensemble	ADJ
fumecheng-7904	109	19	method	method	NOUN
fumecheng-7904	109	20	.	.	PUNCT
fumecheng-7904	110	1	ensemble	ensemble	ADJ
fumecheng-7904	110	2	learning	learning	NOUN
fumecheng-7904	110	3	models	model	NOUN
fumecheng-7904	110	4	perform	perform	VERB
fumecheng-7904	110	5	best	good	ADJ
fumecheng-7904	110	6	for	for	ADP
fumecheng-7904	110	7	machine	machine	NOUN
fumecheng-7904	110	8	learning	learn	VERB
fumecheng-7904	110	9	techniques	technique	NOUN
fumecheng-7904	110	10	that	that	PRON
fumecheng-7904	110	11	are	be	AUX
fumecheng-7904	110	12	generally	generally	ADV
fumecheng-7904	110	13	unstable	unstable	ADJ
fumecheng-7904	110	14	,	,	PUNCT
fumecheng-7904	110	15	like	like	ADP
fumecheng-7904	110	16	decision	decision	NOUN
fumecheng-7904	110	17	trees	tree	NOUN
fumecheng-7904	110	18	,	,	PUNCT
fumecheng-7904	110	19	anns	anns	NOUN
fumecheng-7904	110	20	etc	etc	X
fumecheng-7904	110	21	.	.	PUNCT
fumecheng-7904	111	1	[	[	X
fumecheng-7904	111	2	22	22	NUM
fumecheng-7904	111	3	]	]	PUNCT
fumecheng-7904	111	4	.	.	PUNCT
fumecheng-7904	112	1	the	the	DET
fumecheng-7904	112	2	main	main	ADJ
fumecheng-7904	112	3	reason	reason	NOUN
fumecheng-7904	112	4	behind	behind	ADP
fumecheng-7904	112	5	using	use	VERB
fumecheng-7904	112	6	unstable	unstable	ADJ
fumecheng-7904	112	7	learners	learner	NOUN
fumecheng-7904	112	8	for	for	ADP
fumecheng-7904	112	9	ensemble	ensemble	ADJ
fumecheng-7904	112	10	learning	learning	NOUN
fumecheng-7904	112	11	is	be	AUX
fumecheng-7904	112	12	that	that	SCONJ
fumecheng-7904	112	13	they	they	PRON
fumecheng-7904	112	14	can	can	AUX
fumecheng-7904	112	15	produce	produce	VERB
fumecheng-7904	112	16	different	different	ADJ
fumecheng-7904	112	17	generalization	generalization	NOUN
fumecheng-7904	112	18	patterns	pattern	NOUN
fumecheng-7904	112	19	which	which	PRON
fumecheng-7904	112	20	help	help	VERB
fumecheng-7904	112	21	in	in	ADP
fumecheng-7904	112	22	minimizing	minimize	VERB
fumecheng-7904	112	23	variability	variability	NOUN
fumecheng-7904	112	24	to	to	ADP
fumecheng-7904	112	25	some	some	DET
fumecheng-7904	112	26	extent	extent	NOUN
fumecheng-7904	112	27	[	[	X
fumecheng-7904	112	28	23	23	NUM
fumecheng-7904	112	29	]	]	PUNCT
fumecheng-7904	112	30	.	.	PUNCT
fumecheng-7904	113	1	the	the	DET
fumecheng-7904	113	2	rf	rf	NOUN
fumecheng-7904	113	3	is	be	AUX
fumecheng-7904	113	4	an	an	DET
fumecheng-7904	113	5	example	example	NOUN
fumecheng-7904	113	6	of	of	ADP
fumecheng-7904	113	7	the	the	DET
fumecheng-7904	113	8	bagging	bagging	NOUN
fumecheng-7904	113	9	method	method	NOUN
fumecheng-7904	113	10	[	[	X
fumecheng-7904	113	11	24	24	NUM
fumecheng-7904	113	12	]	]	PUNCT
fumecheng-7904	113	13	,	,	PUNCT
fumecheng-7904	113	14	which	which	PRON
fumecheng-7904	113	15	is	be	AUX
fumecheng-7904	113	16	an	an	DET
fumecheng-7904	113	17	amalgamation	amalgamation	NOUN
fumecheng-7904	113	18	of	of	ADP
fumecheng-7904	113	19	tree	tree	NOUN
fumecheng-7904	113	20	predictors	predictor	NOUN
fumecheng-7904	113	21	that	that	PRON
fumecheng-7904	113	22	operates	operate	VERB
fumecheng-7904	113	23	by	by	ADP
fumecheng-7904	113	24	constituting	constitute	VERB
fumecheng-7904	113	25	a	a	DET
fumecheng-7904	113	26	profusion	profusion	NOUN
fumecheng-7904	113	27	of	of	ADP
fumecheng-7904	113	28	decision	decision	NOUN
fumecheng-7904	113	29	trees	tree	NOUN
fumecheng-7904	113	30	.	.	PUNCT
fumecheng-7904	114	1	it	it	PRON
fumecheng-7904	114	2	can	can	AUX
fumecheng-7904	114	3	be	be	AUX
fumecheng-7904	114	4	effectively	effectively	ADV
fumecheng-7904	114	5	employed	employ	VERB
fumecheng-7904	114	6	for	for	ADP
fumecheng-7904	114	7	both	both	CCONJ
fumecheng-7904	114	8	classification	classification	NOUN
fumecheng-7904	114	9	and	and	CCONJ
fumecheng-7904	114	10	regression	regression	NOUN
fumecheng-7904	114	11	.	.	PUNCT
fumecheng-7904	115	1	the	the	DET
fumecheng-7904	115	2	basic	basic	ADJ
fumecheng-7904	115	3	function	function	NOUN
fumecheng-7904	115	4	of	of	ADP
fumecheng-7904	115	5	rf	rf	PRON
fumecheng-7904	115	6	can	can	AUX
fumecheng-7904	115	7	be	be	AUX
fumecheng-7904	115	8	understood	understand	VERB
fumecheng-7904	115	9	using	use	VERB
fumecheng-7904	115	10	the	the	DET
fumecheng-7904	115	11	schematic	schematic	ADJ
fumecheng-7904	115	12	diagram	diagram	NOUN
fumecheng-7904	115	13	,	,	PUNCT
fumecheng-7904	115	14	as	as	SCONJ
fumecheng-7904	115	15	depicted	depict	VERB
fumecheng-7904	115	16	in	in	ADP
fumecheng-7904	115	17	fig	fig	NOUN
fumecheng-7904	115	18	.	.	PUNCT
fumecheng-7904	116	1	1	1	X
fumecheng-7904	116	2	.	.	X
fumecheng-7904	116	3	fig	fig	NOUN
fumecheng-7904	116	4	.	.	PUNCT
fumecheng-7904	117	1	1	1	NUM
fumecheng-7904	117	2	schematic	schematic	ADJ
fumecheng-7904	117	3	diagram	diagram	NOUN
fumecheng-7904	117	4	of	of	ADP
fumecheng-7904	117	5	a	a	DET
fumecheng-7904	117	6	random	random	ADJ
fumecheng-7904	117	7	forest	forest	NOUN
fumecheng-7904	117	8	692	692	NUM
fumecheng-7904	117	9	s.	s.	PROPN
fumecheng-7904	117	10	bhattacharya	bhattacharya	PROPN
fumecheng-7904	117	11	,	,	PUNCT
fumecheng-7904	117	12	s.	s.	PROPN
fumecheng-7904	117	13	chakraborty	chakraborty	PROPN
fumecheng-7904	117	14	from	from	ADP
fumecheng-7904	117	15	this	this	DET
fumecheng-7904	117	16	diagram	diagram	NOUN
fumecheng-7904	117	17	,	,	PUNCT
fumecheng-7904	117	18	it	it	PRON
fumecheng-7904	117	19	can	can	AUX
fumecheng-7904	117	20	be	be	AUX
fumecheng-7904	117	21	observed	observe	VERB
fumecheng-7904	117	22	that	that	SCONJ
fumecheng-7904	117	23	,	,	PUNCT
fumecheng-7904	117	24	based	base	VERB
fumecheng-7904	117	25	on	on	ADP
fumecheng-7904	117	26	the	the	DET
fumecheng-7904	117	27	training	training	NOUN
fumecheng-7904	117	28	dataset	dataset	NOUN
fumecheng-7904	117	29	,	,	PUNCT
fumecheng-7904	117	30	several	several	ADJ
fumecheng-7904	117	31	decision	decision	NOUN
fumecheng-7904	117	32	trees	tree	NOUN
fumecheng-7904	117	33	are	be	AUX
fumecheng-7904	117	34	created	create	VERB
fumecheng-7904	117	35	which	which	PRON
fumecheng-7904	117	36	are	be	AUX
fumecheng-7904	117	37	assumed	assume	VERB
fumecheng-7904	117	38	to	to	PART
fumecheng-7904	117	39	be	be	AUX
fumecheng-7904	117	40	uncorrelated	uncorrelate	VERB
fumecheng-7904	117	41	.	.	PUNCT
fumecheng-7904	118	1	each	each	PRON
fumecheng-7904	118	2	of	of	ADP
fumecheng-7904	118	3	the	the	DET
fumecheng-7904	118	4	decision	decision	NOUN
fumecheng-7904	118	5	trees	tree	NOUN
fumecheng-7904	118	6	is	be	AUX
fumecheng-7904	118	7	developed	develop	VERB
fumecheng-7904	118	8	based	base	VERB
fumecheng-7904	118	9	on	on	ADP
fumecheng-7904	118	10	subsets	subset	NOUN
fumecheng-7904	118	11	of	of	ADP
fumecheng-7904	118	12	variables	variable	NOUN
fumecheng-7904	118	13	and	and	CCONJ
fumecheng-7904	118	14	samples	sample	NOUN
fumecheng-7904	118	15	from	from	ADP
fumecheng-7904	118	16	the	the	DET
fumecheng-7904	118	17	training	training	NOUN
fumecheng-7904	118	18	data	datum	NOUN
fumecheng-7904	118	19	.	.	PUNCT
fumecheng-7904	119	1	again	again	ADV
fumecheng-7904	119	2	,	,	PUNCT
fumecheng-7904	119	3	each	each	PRON
fumecheng-7904	119	4	of	of	ADP
fumecheng-7904	119	5	the	the	DET
fumecheng-7904	119	6	subsets	subset	NOUN
fumecheng-7904	119	7	of	of	ADP
fumecheng-7904	119	8	variables	variable	NOUN
fumecheng-7904	119	9	is	be	AUX
fumecheng-7904	119	10	considered	consider	VERB
fumecheng-7904	119	11	with	with	ADP
fumecheng-7904	119	12	replacement	replacement	NOUN
fumecheng-7904	119	13	.	.	PUNCT
fumecheng-7904	120	1	in	in	ADP
fumecheng-7904	120	2	the	the	DET
fumecheng-7904	120	3	rf	rf	NOUN
fumecheng-7904	120	4	regressor	regressor	NOUN
fumecheng-7904	120	5	,	,	PUNCT
fumecheng-7904	120	6	the	the	DET
fumecheng-7904	120	7	final	final	ADJ
fumecheng-7904	120	8	prediction	prediction	NOUN
fumecheng-7904	120	9	is	be	AUX
fumecheng-7904	120	10	performed	perform	VERB
fumecheng-7904	120	11	after	after	ADP
fumecheng-7904	120	12	averaging	average	VERB
fumecheng-7904	120	13	the	the	DET
fumecheng-7904	120	14	outputs	output	NOUN
fumecheng-7904	120	15	of	of	ADP
fumecheng-7904	120	16	all	all	DET
fumecheng-7904	120	17	the	the	DET
fumecheng-7904	120	18	developed	develop	VERB
fumecheng-7904	120	19	decision	decision	NOUN
fumecheng-7904	120	20	trees	tree	NOUN
fumecheng-7904	120	21	.	.	PUNCT
fumecheng-7904	121	1	while	while	SCONJ
fumecheng-7904	121	2	employing	employ	VERB
fumecheng-7904	121	3	the	the	DET
fumecheng-7904	121	4	rf	rf	ADJ
fumecheng-7904	121	5	regressor	regressor	NOUN
fumecheng-7904	121	6	as	as	ADP
fumecheng-7904	121	7	an	an	DET
fumecheng-7904	121	8	effective	effective	ADJ
fumecheng-7904	121	9	prediction	prediction	NOUN
fumecheng-7904	121	10	tool	tool	NOUN
fumecheng-7904	121	11	,	,	PUNCT
fumecheng-7904	121	12	there	there	PRON
fumecheng-7904	121	13	are	be	VERB
fumecheng-7904	121	14	few	few	ADJ
fumecheng-7904	121	15	parameters	parameter	NOUN
fumecheng-7904	121	16	to	to	PART
fumecheng-7904	121	17	be	be	AUX
fumecheng-7904	121	18	tuned	tune	VERB
fumecheng-7904	121	19	by	by	ADP
fumecheng-7904	121	20	the	the	DET
fumecheng-7904	121	21	concerned	concerned	ADJ
fumecheng-7904	121	22	designer	designer	NOUN
fumecheng-7904	121	23	,	,	PUNCT
fumecheng-7904	121	24	mainly	mainly	ADV
fumecheng-7904	121	25	based	base	VERB
fumecheng-7904	121	26	on	on	ADP
fumecheng-7904	121	27	intuition	intuition	NOUN
fumecheng-7904	121	28	[	[	X
fumecheng-7904	121	29	25	25	NUM
fumecheng-7904	121	30	]	]	PUNCT
fumecheng-7904	121	31	.	.	PUNCT
fumecheng-7904	122	1	in	in	ADP
fumecheng-7904	122	2	table	table	NOUN
fumecheng-7904	122	3	5	5	NUM
fumecheng-7904	122	4	,	,	PUNCT
fumecheng-7904	122	5	some	some	DET
fumecheng-7904	122	6	important	important	ADJ
fumecheng-7904	122	7	parameters	parameter	NOUN
fumecheng-7904	122	8	of	of	ADP
fumecheng-7904	122	9	the	the	DET
fumecheng-7904	122	10	rf	rf	NOUN
fumecheng-7904	122	11	regressor	regressor	NOUN
fumecheng-7904	122	12	are	be	AUX
fumecheng-7904	122	13	provided	provide	VERB
fumecheng-7904	122	14	,	,	PUNCT
fumecheng-7904	122	15	where	where	SCONJ
fumecheng-7904	122	16	p	p	NOUN
fumecheng-7904	122	17	is	be	AUX
fumecheng-7904	122	18	the	the	DET
fumecheng-7904	122	19	number	number	NOUN
fumecheng-7904	122	20	of	of	ADP
fumecheng-7904	122	21	input	input	NOUN
fumecheng-7904	122	22	variables	variable	NOUN
fumecheng-7904	122	23	.	.	PUNCT
fumecheng-7904	123	1	table	table	NOUN
fumecheng-7904	123	2	5	5	NUM
fumecheng-7904	123	3	parameters	parameter	NOUN
fumecheng-7904	123	4	of	of	ADP
fumecheng-7904	123	5	a	a	DET
fumecheng-7904	123	6	rf	rf	NOUN
fumecheng-7904	123	7	regressor	regressor	NOUN
fumecheng-7904	123	8	parameter	parameter	NOUN
fumecheng-7904	123	9	default	default	NOUN
fumecheng-7904	123	10	value	value	NOUN
fumecheng-7904	123	11	number	number	NOUN
fumecheng-7904	123	12	of	of	ADP
fumecheng-7904	123	13	decision	decision	NOUN
fumecheng-7904	123	14	trees	tree	NOUN
fumecheng-7904	123	15	500	500	NUM
fumecheng-7904	123	16	number	number	NOUN
fumecheng-7904	123	17	of	of	ADP
fumecheng-7904	123	18	variables	variable	NOUN
fumecheng-7904	123	19	per	per	ADP
fumecheng-7904	123	20	split	split	NOUN
fumecheng-7904	123	21	√p	√p	PRON
fumecheng-7904	123	22	maximum	maximum	ADJ
fumecheng-7904	123	23	number	number	NOUN
fumecheng-7904	123	24	of	of	ADP
fumecheng-7904	123	25	terminal	terminal	ADJ
fumecheng-7904	123	26	nodes	node	NOUN
fumecheng-7904	123	27	unrestricted	unrestricted	ADJ
fumecheng-7904	123	28	resampling	resample	VERB
fumecheng-7904	123	29	scheme	scheme	NOUN
fumecheng-7904	123	30	with	with	ADP
fumecheng-7904	123	31	replacement	replacement	NOUN
fumecheng-7904	123	32	while	while	SCONJ
fumecheng-7904	123	33	employing	employ	VERB
fumecheng-7904	123	34	the	the	DET
fumecheng-7904	123	35	rf	rf	ADJ
fumecheng-7904	123	36	regressor	regressor	NOUN
fumecheng-7904	123	37	as	as	ADP
fumecheng-7904	123	38	a	a	DET
fumecheng-7904	123	39	prediction	prediction	NOUN
fumecheng-7904	123	40	tool	tool	NOUN
fumecheng-7904	123	41	for	for	ADP
fumecheng-7904	123	42	the	the	DET
fumecheng-7904	123	43	cnc	cnc	PROPN
fumecheng-7904	123	44	face	face	NOUN
fumecheng-7904	123	45	milling	mill	VERB
fumecheng-7904	123	46	operation	operation	NOUN
fumecheng-7904	123	47	,	,	PUNCT
fumecheng-7904	123	48	the	the	DET
fumecheng-7904	123	49	number	number	NOUN
fumecheng-7904	123	50	of	of	ADP
fumecheng-7904	123	51	decision	decision	NOUN
fumecheng-7904	123	52	trees	tree	NOUN
fumecheng-7904	123	53	generated	generate	VERB
fumecheng-7904	123	54	plays	play	VERB
fumecheng-7904	123	55	a	a	DET
fumecheng-7904	123	56	significant	significant	ADJ
fumecheng-7904	123	57	role	role	NOUN
fumecheng-7904	123	58	.	.	PUNCT
fumecheng-7904	124	1	a	a	DET
fumecheng-7904	124	2	smaller	small	ADJ
fumecheng-7904	124	3	number	number	NOUN
fumecheng-7904	124	4	of	of	ADP
fumecheng-7904	124	5	decision	decision	NOUN
fumecheng-7904	124	6	trees	tree	NOUN
fumecheng-7904	124	7	leads	lead	VERB
fumecheng-7904	124	8	to	to	ADP
fumecheng-7904	124	9	underfitting	underfitting	NOUN
fumecheng-7904	124	10	of	of	ADP
fumecheng-7904	124	11	data	datum	NOUN
fumecheng-7904	124	12	,	,	PUNCT
fumecheng-7904	124	13	whereas	whereas	SCONJ
fumecheng-7904	124	14	a	a	DET
fumecheng-7904	124	15	large	large	ADJ
fumecheng-7904	124	16	number	number	NOUN
fumecheng-7904	124	17	of	of	ADP
fumecheng-7904	124	18	decision	decision	NOUN
fumecheng-7904	124	19	trees	tree	NOUN
fumecheng-7904	124	20	are	be	AUX
fumecheng-7904	124	21	responsible	responsible	ADJ
fumecheng-7904	124	22	for	for	ADP
fumecheng-7904	124	23	data	datum	NOUN
fumecheng-7904	124	24	overfitting	overfitting	NOUN
fumecheng-7904	124	25	.	.	PUNCT
fumecheng-7904	125	1	when	when	SCONJ
fumecheng-7904	125	2	each	each	DET
fumecheng-7904	125	3	decision	decision	NOUN
fumecheng-7904	125	4	tree	tree	NOUN
fumecheng-7904	125	5	is	be	AUX
fumecheng-7904	125	6	framed	frame	VERB
fumecheng-7904	125	7	,	,	PUNCT
fumecheng-7904	125	8	there	there	PRON
fumecheng-7904	125	9	is	be	VERB
fumecheng-7904	125	10	a	a	DET
fumecheng-7904	125	11	scope	scope	NOUN
fumecheng-7904	125	12	of	of	ADP
fumecheng-7904	125	13	feature	feature	NOUN
fumecheng-7904	125	14	selection	selection	NOUN
fumecheng-7904	125	15	where	where	SCONJ
fumecheng-7904	125	16	the	the	DET
fumecheng-7904	125	17	designer	designer	NOUN
fumecheng-7904	125	18	can	can	AUX
fumecheng-7904	125	19	choose	choose	VERB
fumecheng-7904	125	20	all	all	DET
fumecheng-7904	125	21	the	the	DET
fumecheng-7904	125	22	input	input	NOUN
fumecheng-7904	125	23	variables	variable	VERB
fumecheng-7904	125	24	under	under	ADP
fumecheng-7904	125	25	consideration	consideration	NOUN
fumecheng-7904	125	26	or	or	CCONJ
fumecheng-7904	125	27	set	set	VERB
fumecheng-7904	125	28	them	they	PRON
fumecheng-7904	125	29	accordingly	accordingly	ADV
fumecheng-7904	125	30	.	.	PUNCT
fumecheng-7904	126	1	the	the	DET
fumecheng-7904	126	2	maximum	maximum	ADJ
fumecheng-7904	126	3	number	number	NOUN
fumecheng-7904	126	4	of	of	ADP
fumecheng-7904	126	5	terminal	terminal	ADJ
fumecheng-7904	126	6	nodes	node	NOUN
fumecheng-7904	126	7	,	,	PUNCT
fumecheng-7904	126	8	as	as	SCONJ
fumecheng-7904	126	9	the	the	DET
fumecheng-7904	126	10	name	name	NOUN
fumecheng-7904	126	11	suggests	suggest	VERB
fumecheng-7904	126	12	,	,	PUNCT
fumecheng-7904	126	13	is	be	AUX
fumecheng-7904	126	14	the	the	DET
fumecheng-7904	126	15	upper	upper	ADJ
fumecheng-7904	126	16	limit	limit	NOUN
fumecheng-7904	126	17	of	of	ADP
fumecheng-7904	126	18	number	number	NOUN
fumecheng-7904	126	19	of	of	ADP
fumecheng-7904	126	20	nodes	node	NOUN
fumecheng-7904	126	21	that	that	SCONJ
fumecheng-7904	126	22	each	each	DET
fumecheng-7904	126	23	tree	tree	NOUN
fumecheng-7904	126	24	can	can	AUX
fumecheng-7904	126	25	have	have	VERB
fumecheng-7904	126	26	.	.	PUNCT
fumecheng-7904	127	1	now	now	ADV
fumecheng-7904	127	2	,	,	PUNCT
fumecheng-7904	127	3	when	when	SCONJ
fumecheng-7904	127	4	a	a	DET
fumecheng-7904	127	5	subset	subset	NOUN
fumecheng-7904	127	6	of	of	ADP
fumecheng-7904	127	7	training	training	NOUN
fumecheng-7904	127	8	data	datum	NOUN
fumecheng-7904	127	9	is	be	AUX
fumecheng-7904	127	10	adopted	adopt	VERB
fumecheng-7904	127	11	to	to	PART
fumecheng-7904	127	12	model	model	VERB
fumecheng-7904	127	13	the	the	DET
fumecheng-7904	127	14	rf	rf	NOUN
fumecheng-7904	127	15	,	,	PUNCT
fumecheng-7904	127	16	the	the	DET
fumecheng-7904	127	17	designer	designer	NOUN
fumecheng-7904	127	18	may	may	AUX
fumecheng-7904	127	19	wish	wish	VERB
fumecheng-7904	127	20	to	to	PART
fumecheng-7904	127	21	set	set	VERB
fumecheng-7904	127	22	features	feature	NOUN
fumecheng-7904	127	23	in	in	ADP
fumecheng-7904	127	24	such	such	DET
fumecheng-7904	127	25	a	a	DET
fumecheng-7904	127	26	way	way	NOUN
fumecheng-7904	127	27	that	that	SCONJ
fumecheng-7904	127	28	if	if	SCONJ
fumecheng-7904	127	29	a	a	DET
fumecheng-7904	127	30	subset	subset	NOUN
fumecheng-7904	127	31	is	be	AUX
fumecheng-7904	127	32	once	once	ADV
fumecheng-7904	127	33	used	use	VERB
fumecheng-7904	127	34	,	,	PUNCT
fumecheng-7904	127	35	it	it	PRON
fumecheng-7904	127	36	would	would	AUX
fumecheng-7904	127	37	not	not	PART
fumecheng-7904	127	38	be	be	AUX
fumecheng-7904	127	39	used	use	VERB
fumecheng-7904	127	40	again	again	ADV
fumecheng-7904	127	41	.	.	PUNCT
fumecheng-7904	128	1	in	in	ADP
fumecheng-7904	128	2	this	this	DET
fumecheng-7904	128	3	case	case	NOUN
fumecheng-7904	128	4	,	,	PUNCT
fumecheng-7904	128	5	the	the	DET
fumecheng-7904	128	6	resampling	resample	VERB
fumecheng-7904	128	7	scheme	scheme	NOUN
fumecheng-7904	128	8	needs	need	NOUN
fumecheng-7904	128	9	to	to	PART
fumecheng-7904	128	10	be	be	AUX
fumecheng-7904	128	11	considered	consider	VERB
fumecheng-7904	128	12	without	without	ADP
fumecheng-7904	128	13	replacement	replacement	NOUN
fumecheng-7904	128	14	.	.	PUNCT
fumecheng-7904	129	1	among	among	ADP
fumecheng-7904	129	2	various	various	ADJ
fumecheng-7904	129	3	parameters	parameter	NOUN
fumecheng-7904	129	4	employed	employ	VERB
fumecheng-7904	129	5	for	for	ADP
fumecheng-7904	129	6	modeling	model	VERB
fumecheng-7904	129	7	a	a	DET
fumecheng-7904	129	8	rf	rf	NOUN
fumecheng-7904	129	9	regressor	regressor	NOUN
fumecheng-7904	129	10	,	,	PUNCT
fumecheng-7904	129	11	number	number	NOUN
fumecheng-7904	129	12	of	of	ADP
fumecheng-7904	129	13	decision	decision	NOUN
fumecheng-7904	129	14	trees	tree	NOUN
fumecheng-7904	129	15	and	and	CCONJ
fumecheng-7904	129	16	number	number	NOUN
fumecheng-7904	129	17	of	of	ADP
fumecheng-7904	129	18	variables	variable	NOUN
fumecheng-7904	129	19	selected	select	VERB
fumecheng-7904	129	20	per	per	ADP
fumecheng-7904	129	21	split	split	NOUN
fumecheng-7904	129	22	mostly	mostly	ADV
fumecheng-7904	129	23	affect	affect	VERB
fumecheng-7904	129	24	the	the	DET
fumecheng-7904	129	25	prediction	prediction	NOUN
fumecheng-7904	129	26	accuracy	accuracy	NOUN
fumecheng-7904	129	27	.	.	PUNCT
fumecheng-7904	130	1	the	the	DET
fumecheng-7904	130	2	default	default	NOUN
fumecheng-7904	130	3	value	value	NOUN
fumecheng-7904	130	4	for	for	ADP
fumecheng-7904	130	5	number	number	NOUN
fumecheng-7904	130	6	of	of	ADP
fumecheng-7904	130	7	variables	variable	NOUN
fumecheng-7904	130	8	per	per	ADP
fumecheng-7904	130	9	split	split	NOUN
fumecheng-7904	130	10	is	be	AUX
fumecheng-7904	130	11	the	the	DET
fumecheng-7904	130	12	squared	square	VERB
fumecheng-7904	130	13	root	root	NOUN
fumecheng-7904	130	14	of	of	ADP
fumecheng-7904	130	15	the	the	DET
fumecheng-7904	130	16	number	number	NOUN
fumecheng-7904	130	17	of	of	ADP
fumecheng-7904	130	18	input	input	NOUN
fumecheng-7904	130	19	variables	variable	NOUN
fumecheng-7904	130	20	,	,	PUNCT
fumecheng-7904	130	21	but	but	CCONJ
fumecheng-7904	130	22	for	for	ADP
fumecheng-7904	130	23	datasets	dataset	NOUN
fumecheng-7904	130	24	with	with	ADP
fumecheng-7904	130	25	a	a	DET
fumecheng-7904	130	26	smaller	small	ADJ
fumecheng-7904	130	27	number	number	NOUN
fumecheng-7904	130	28	of	of	ADP
fumecheng-7904	130	29	input	input	NOUN
fumecheng-7904	130	30	variables	variable	NOUN
fumecheng-7904	130	31	(	(	PUNCT
fumecheng-7904	130	32	preferably	preferably	ADV
fumecheng-7904	130	33	less	less	ADJ
fumecheng-7904	130	34	than	than	ADP
fumecheng-7904	130	35	13	13	NUM
fumecheng-7904	130	36	)	)	PUNCT
fumecheng-7904	130	37	,	,	PUNCT
fumecheng-7904	130	38	number	number	NOUN
fumecheng-7904	130	39	of	of	ADP
fumecheng-7904	130	40	variables	variable	NOUN
fumecheng-7904	130	41	per	per	ADP
fumecheng-7904	130	42	split	split	NOUN
fumecheng-7904	130	43	is	be	AUX
fumecheng-7904	130	44	generally	generally	ADV
fumecheng-7904	130	45	set	set	VERB
fumecheng-7904	130	46	equal	equal	ADJ
fumecheng-7904	130	47	to	to	ADP
fumecheng-7904	130	48	the	the	DET
fumecheng-7904	130	49	number	number	NOUN
fumecheng-7904	130	50	of	of	ADP
fumecheng-7904	130	51	input	input	NOUN
fumecheng-7904	130	52	variables	variable	NOUN
fumecheng-7904	130	53	[	[	X
fumecheng-7904	130	54	25	25	NUM
fumecheng-7904	130	55	]	]	PUNCT
fumecheng-7904	130	56	.	.	PUNCT
fumecheng-7904	131	1	on	on	ADP
fumecheng-7904	131	2	the	the	DET
fumecheng-7904	131	3	other	other	ADJ
fumecheng-7904	131	4	hand	hand	NOUN
fumecheng-7904	131	5	,	,	PUNCT
fumecheng-7904	131	6	the	the	DET
fumecheng-7904	131	7	optimal	optimal	ADJ
fumecheng-7904	131	8	number	number	NOUN
fumecheng-7904	131	9	of	of	ADP
fumecheng-7904	131	10	decision	decision	NOUN
fumecheng-7904	131	11	trees	tree	NOUN
fumecheng-7904	131	12	to	to	PART
fumecheng-7904	131	13	be	be	AUX
fumecheng-7904	131	14	framed	frame	VERB
fumecheng-7904	131	15	is	be	AUX
fumecheng-7904	131	16	identified	identify	VERB
fumecheng-7904	131	17	after	after	ADP
fumecheng-7904	131	18	simulating	simulate	VERB
fumecheng-7904	131	19	the	the	DET
fumecheng-7904	131	20	model	model	NOUN
fumecheng-7904	131	21	for	for	ADP
fumecheng-7904	131	22	up	up	ADP
fumecheng-7904	131	23	to	to	PART
fumecheng-7904	131	24	500	500	NUM
fumecheng-7904	131	25	decision	decision	NOUN
fumecheng-7904	131	26	trees	tree	NOUN
fumecheng-7904	131	27	and	and	CCONJ
fumecheng-7904	131	28	then	then	ADV
fumecheng-7904	131	29	selecting	select	VERB
fumecheng-7904	131	30	the	the	DET
fumecheng-7904	131	31	number	number	NOUN
fumecheng-7904	131	32	which	which	PRON
fumecheng-7904	131	33	would	would	AUX
fumecheng-7904	131	34	yield	yield	VERB
fumecheng-7904	131	35	the	the	DET
fumecheng-7904	131	36	lowest	low	ADJ
fumecheng-7904	131	37	value	value	NOUN
fumecheng-7904	131	38	of	of	ADP
fumecheng-7904	131	39	mean	mean	ADJ
fumecheng-7904	131	40	squared	square	VERB
fumecheng-7904	131	41	error	error	NOUN
fumecheng-7904	131	42	(	(	PUNCT
fumecheng-7904	131	43	mse	mse	NOUN
fumecheng-7904	131	44	)	)	PUNCT
fumecheng-7904	131	45	.	.	PUNCT
fumecheng-7904	132	1	the	the	DET
fumecheng-7904	132	2	variations	variation	NOUN
fumecheng-7904	132	3	of	of	ADP
fumecheng-7904	132	4	mse	mse	NOUN
fumecheng-7904	132	5	value	value	NOUN
fumecheng-7904	132	6	with	with	ADP
fumecheng-7904	132	7	changing	change	VERB
fumecheng-7904	132	8	number	number	NOUN
fumecheng-7904	132	9	of	of	ADP
fumecheng-7904	132	10	decision	decision	NOUN
fumecheng-7904	132	11	trees	tree	NOUN
fumecheng-7904	132	12	for	for	ADP
fumecheng-7904	132	13	mrr	mrr	PROPN
fumecheng-7904	132	14	,	,	PUNCT
fumecheng-7904	132	15	ra	ra	PROPN
fumecheng-7904	132	16	and	and	CCONJ
fumecheng-7904	132	17	aec	aec	PROPN
fumecheng-7904	132	18	are	be	AUX
fumecheng-7904	132	19	portrayed	portray	VERB
fumecheng-7904	132	20	in	in	ADP
fumecheng-7904	132	21	figs	fig	NOUN
fumecheng-7904	132	22	.	.	PUNCT
fumecheng-7904	133	1	2	2	NUM
fumecheng-7904	133	2	-	-	SYM
fumecheng-7904	133	3	4	4	NUM
fumecheng-7904	133	4	,	,	PUNCT
fumecheng-7904	133	5	respectively	respectively	ADV
fumecheng-7904	133	6	.	.	PUNCT
fumecheng-7904	134	1	from	from	ADP
fumecheng-7904	134	2	these	these	DET
fumecheng-7904	134	3	figures	figure	NOUN
fumecheng-7904	134	4	,	,	PUNCT
fumecheng-7904	134	5	the	the	DET
fumecheng-7904	134	6	optimal	optimal	ADJ
fumecheng-7904	134	7	number	number	NOUN
fumecheng-7904	134	8	of	of	ADP
fumecheng-7904	134	9	decision	decision	NOUN
fumecheng-7904	134	10	trees	tree	NOUN
fumecheng-7904	134	11	for	for	ADP
fumecheng-7904	134	12	each	each	DET
fumecheng-7904	134	13	rf	rf	NOUN
fumecheng-7904	134	14	is	be	AUX
fumecheng-7904	134	15	selected	select	VERB
fumecheng-7904	134	16	having	have	VERB
fumecheng-7904	134	17	the	the	DET
fumecheng-7904	134	18	lowest	low	ADJ
fumecheng-7904	134	19	mse	mse	NOUN
fumecheng-7904	134	20	value	value	NOUN
fumecheng-7904	134	21	for	for	ADP
fumecheng-7904	134	22	each	each	PRON
fumecheng-7904	134	23	of	of	ADP
fumecheng-7904	134	24	the	the	DET
fumecheng-7904	134	25	responses	response	NOUN
fumecheng-7904	134	26	under	under	ADP
fumecheng-7904	134	27	consideration	consideration	NOUN
fumecheng-7904	134	28	.	.	PUNCT
fumecheng-7904	135	1	the	the	DET
fumecheng-7904	135	2	optimal	optimal	ADJ
fumecheng-7904	135	3	numbers	number	NOUN
fumecheng-7904	135	4	of	of	ADP
fumecheng-7904	135	5	decision	decision	NOUN
fumecheng-7904	135	6	trees	tree	NOUN
fumecheng-7904	135	7	to	to	PART
fumecheng-7904	135	8	be	be	AUX
fumecheng-7904	135	9	developed	develop	VERB
fumecheng-7904	135	10	for	for	ADP
fumecheng-7904	135	11	mrr	mrr	PROPN
fumecheng-7904	135	12	,	,	PUNCT
fumecheng-7904	135	13	ra	ra	PROPN
fumecheng-7904	135	14	and	and	CCONJ
fumecheng-7904	135	15	aec	aec	PROPN
fumecheng-7904	135	16	are	be	AUX
fumecheng-7904	135	17	provided	provide	VERB
fumecheng-7904	135	18	in	in	ADP
fumecheng-7904	135	19	table	table	NOUN
fumecheng-7904	135	20	6	6	NUM
fumecheng-7904	135	21	.	.	PUNCT
fumecheng-7904	135	22	table	table	NOUN
fumecheng-7904	135	23	6	6	NUM
fumecheng-7904	135	24	optimal	optimal	ADJ
fumecheng-7904	135	25	number	number	NOUN
fumecheng-7904	135	26	of	of	ADP
fumecheng-7904	135	27	decision	decision	NOUN
fumecheng-7904	135	28	trees	tree	NOUN
fumecheng-7904	135	29	for	for	ADP
fumecheng-7904	135	30	each	each	DET
fumecheng-7904	135	31	response	response	NOUN
fumecheng-7904	135	32	response	response	NOUN
fumecheng-7904	135	33	number	number	NOUN
fumecheng-7904	135	34	of	of	ADP
fumecheng-7904	135	35	decision	decision	NOUN
fumecheng-7904	135	36	trees	tree	NOUN
fumecheng-7904	135	37	mrr	mrr	PROPN
fumecheng-7904	135	38	367	367	NUM
fumecheng-7904	135	39	ra	ra	NOUN
fumecheng-7904	135	40	25	25	NUM
fumecheng-7904	135	41	aec	aec	NOUN
fumecheng-7904	135	42	195	195	NUM
fumecheng-7904	135	43	prediction	prediction	NOUN
fumecheng-7904	135	44	of	of	ADP
fumecheng-7904	135	45	responses	response	NOUN
fumecheng-7904	135	46	in	in	ADP
fumecheng-7904	135	47	a	a	DET
fumecheng-7904	135	48	cnc	cnc	PROPN
fumecheng-7904	135	49	milling	milling	NOUN
fumecheng-7904	135	50	operation	operation	NOUN
fumecheng-7904	135	51	using	use	VERB
fumecheng-7904	135	52	random	random	ADJ
fumecheng-7904	135	53	forest	forest	NOUN
fumecheng-7904	135	54	regressor	regressor	NOUN
fumecheng-7904	135	55	693	693	NUM
fumecheng-7904	135	56	fig	fig	NOUN
fumecheng-7904	135	57	.	.	PUNCT
fumecheng-7904	136	1	2	2	NUM
fumecheng-7904	136	2	number	number	NOUN
fumecheng-7904	136	3	of	of	ADP
fumecheng-7904	136	4	decision	decision	NOUN
fumecheng-7904	136	5	trees	tree	NOUN
fumecheng-7904	136	6	against	against	ADP
fumecheng-7904	136	7	mse	mse	NOUN
fumecheng-7904	136	8	for	for	ADP
fumecheng-7904	136	9	mrr	mrr	PROPN
fumecheng-7904	136	10	fig	fig	NOUN
fumecheng-7904	136	11	.	.	PUNCT
fumecheng-7904	137	1	3	3	NUM
fumecheng-7904	137	2	number	number	NOUN
fumecheng-7904	137	3	of	of	ADP
fumecheng-7904	137	4	decision	decision	NOUN
fumecheng-7904	137	5	trees	tree	NOUN
fumecheng-7904	137	6	against	against	ADP
fumecheng-7904	137	7	mse	mse	NOUN
fumecheng-7904	137	8	for	for	ADP
fumecheng-7904	137	9	ra	ra	PROPN
fumecheng-7904	137	10	694	694	NUM
fumecheng-7904	137	11	s.	s.	PROPN
fumecheng-7904	137	12	bhattacharya	bhattacharya	PROPN
fumecheng-7904	137	13	,	,	PUNCT
fumecheng-7904	137	14	s.	s.	PROPN
fumecheng-7904	137	15	chakraborty	chakraborty	PROPN
fumecheng-7904	137	16	fig	fig	PROPN
fumecheng-7904	137	17	.	.	PUNCT
fumecheng-7904	138	1	4	4	NUM
fumecheng-7904	138	2	number	number	NOUN
fumecheng-7904	138	3	of	of	ADP
fumecheng-7904	138	4	decision	decision	NOUN
fumecheng-7904	138	5	trees	tree	NOUN
fumecheng-7904	138	6	against	against	ADP
fumecheng-7904	138	7	mse	mse	NOUN
fumecheng-7904	138	8	for	for	ADP
fumecheng-7904	138	9	aec	aec	PROPN
fumecheng-7904	138	10	in	in	ADP
fumecheng-7904	138	11	this	this	DET
fumecheng-7904	138	12	paper	paper	NOUN
fumecheng-7904	138	13	,	,	PUNCT
fumecheng-7904	138	14	the	the	DET
fumecheng-7904	138	15	entire	entire	ADJ
fumecheng-7904	138	16	modeling	modeling	NOUN
fumecheng-7904	138	17	based	base	VERB
fumecheng-7904	138	18	on	on	ADP
fumecheng-7904	138	19	the	the	DET
fumecheng-7904	138	20	past	past	ADJ
fumecheng-7904	138	21	experimental	experimental	ADJ
fumecheng-7904	138	22	data	datum	NOUN
fumecheng-7904	138	23	for	for	ADP
fumecheng-7904	138	24	the	the	DET
fumecheng-7904	138	25	cnc	cnc	PROPN
fumecheng-7904	138	26	face	face	NOUN
fumecheng-7904	138	27	milling	milling	NOUN
fumecheng-7904	138	28	operation	operation	NOUN
fumecheng-7904	138	29	is	be	AUX
fumecheng-7904	138	30	performed	perform	VERB
fumecheng-7904	138	31	with	with	ADP
fumecheng-7904	138	32	the	the	DET
fumecheng-7904	138	33	help	help	NOUN
fumecheng-7904	138	34	of	of	ADP
fumecheng-7904	138	35	random	random	ADJ
fumecheng-7904	138	36	forest	forest	NOUN
fumecheng-7904	138	37	package	package	NOUN
fumecheng-7904	138	38	available	available	ADJ
fumecheng-7904	138	39	in	in	ADP
fumecheng-7904	138	40	the	the	DET
fumecheng-7904	138	41	statistical	statistical	ADJ
fumecheng-7904	138	42	programming	programming	NOUN
fumecheng-7904	138	43	software	software	NOUN
fumecheng-7904	138	44	r	r	NOUN
fumecheng-7904	139	1	[	[	X
fumecheng-7904	139	2	26	26	NUM
fumecheng-7904	139	3	]	]	PUNCT
fumecheng-7904	139	4	,	,	PUNCT
fumecheng-7904	139	5	which	which	PRON
fumecheng-7904	139	6	is	be	AUX
fumecheng-7904	139	7	an	an	DET
fumecheng-7904	139	8	open	open	ADJ
fumecheng-7904	139	9	-	-	PUNCT
fumecheng-7904	139	10	sourced	source	VERB
fumecheng-7904	139	11	,	,	PUNCT
fumecheng-7904	139	12	robust	robust	ADJ
fumecheng-7904	139	13	and	and	CCONJ
fumecheng-7904	139	14	easy	easy	ADJ
fumecheng-7904	139	15	to	to	PART
fumecheng-7904	139	16	apprehend	apprehend	VERB
fumecheng-7904	139	17	language	language	NOUN
fumecheng-7904	139	18	[	[	X
fumecheng-7904	139	19	19	19	NUM
fumecheng-7904	139	20	]	]	PUNCT
fumecheng-7904	139	21	.	.	PUNCT
fumecheng-7904	140	1	based	base	VERB
fumecheng-7904	140	2	on	on	ADP
fumecheng-7904	140	3	the	the	DET
fumecheng-7904	140	4	training	training	NOUN
fumecheng-7904	140	5	dataset	dataset	NOUN
fumecheng-7904	140	6	,	,	PUNCT
fumecheng-7904	140	7	the	the	DET
fumecheng-7904	140	8	developed	develop	VERB
fumecheng-7904	140	9	rf	rf	NOUN
fumecheng-7904	140	10	regressor	regressor	NOUN
fumecheng-7904	140	11	generates	generate	VERB
fumecheng-7904	140	12	a	a	DET
fumecheng-7904	140	13	large	large	ADJ
fumecheng-7904	140	14	number	number	NOUN
fumecheng-7904	140	15	of	of	ADP
fumecheng-7904	140	16	decision	decision	NOUN
fumecheng-7904	140	17	trees	tree	NOUN
fumecheng-7904	140	18	(	(	PUNCT
fumecheng-7904	140	19	as	as	SCONJ
fumecheng-7904	140	20	mentioned	mention	VERB
fumecheng-7904	140	21	in	in	ADP
fumecheng-7904	140	22	table	table	NOUN
fumecheng-7904	140	23	6	6	NUM
fumecheng-7904	140	24	)	)	PUNCT
fumecheng-7904	140	25	for	for	ADP
fumecheng-7904	140	26	each	each	PRON
fumecheng-7904	140	27	of	of	ADP
fumecheng-7904	140	28	the	the	DET
fumecheng-7904	140	29	responses	response	NOUN
fumecheng-7904	140	30	under	under	ADP
fumecheng-7904	140	31	consideration	consideration	NOUN
fumecheng-7904	140	32	which	which	PRON
fumecheng-7904	140	33	are	be	AUX
fumecheng-7904	140	34	finally	finally	ADV
fumecheng-7904	140	35	aggregated	aggregate	VERB
fumecheng-7904	140	36	to	to	PART
fumecheng-7904	140	37	predict	predict	VERB
fumecheng-7904	140	38	the	the	DET
fumecheng-7904	140	39	corresponding	corresponding	ADJ
fumecheng-7904	140	40	response	response	NOUN
fumecheng-7904	140	41	values	value	NOUN
fumecheng-7904	140	42	.	.	PUNCT
fumecheng-7904	141	1	some	some	DET
fumecheng-7904	141	2	typical	typical	ADJ
fumecheng-7904	141	3	examples	example	NOUN
fumecheng-7904	141	4	of	of	ADP
fumecheng-7904	141	5	the	the	DET
fumecheng-7904	141	6	framed	frame	VERB
fumecheng-7904	141	7	decision	decision	NOUN
fumecheng-7904	141	8	tress	tress	NOUN
fumecheng-7904	141	9	for	for	ADP
fumecheng-7904	141	10	mrr	mrr	PROPN
fumecheng-7904	141	11	,	,	PUNCT
fumecheng-7904	141	12	ra	ra	PROPN
fumecheng-7904	141	13	and	and	CCONJ
fumecheng-7904	141	14	aec	aec	PROPN
fumecheng-7904	141	15	are	be	AUX
fumecheng-7904	141	16	respectively	respectively	ADV
fumecheng-7904	141	17	provided	provide	VERB
fumecheng-7904	141	18	in	in	ADP
fumecheng-7904	141	19	figs	fig	NOUN
fumecheng-7904	141	20	5	5	NUM
fumecheng-7904	141	21	-	-	SYM
fumecheng-7904	141	22	7	7	NUM
fumecheng-7904	141	23	.	.	PUNCT
fumecheng-7904	142	1	in	in	ADP
fumecheng-7904	142	2	fig	fig	NOUN
fumecheng-7904	142	3	.	.	PUNCT
fumecheng-7904	143	1	5	5	NUM
fumecheng-7904	143	2	,	,	PUNCT
fumecheng-7904	143	3	for	for	ADP
fumecheng-7904	143	4	mrr	mrr	PROPN
fumecheng-7904	143	5	,	,	PUNCT
fumecheng-7904	143	6	the	the	DET
fumecheng-7904	143	7	rf	rf	NOUN
fumecheng-7904	143	8	regressor	regressor	NOUN
fumecheng-7904	143	9	first	first	ADV
fumecheng-7904	143	10	treats	treat	VERB
fumecheng-7904	143	11	width	width	ADJ
fumecheng-7904	143	12	of	of	ADP
fumecheng-7904	143	13	cut	cut	NOUN
fumecheng-7904	143	14	(	(	PUNCT
fumecheng-7904	143	15	ae	ae	PROPN
fumecheng-7904	143	16	)	)	PUNCT
fumecheng-7904	143	17	as	as	ADP
fumecheng-7904	143	18	the	the	DET
fumecheng-7904	143	19	predictor	predictor	NOUN
fumecheng-7904	143	20	variable	variable	NOUN
fumecheng-7904	143	21	in	in	ADP
fumecheng-7904	143	22	the	the	DET
fumecheng-7904	143	23	root	root	NOUN
fumecheng-7904	143	24	node	node	NOUN
fumecheng-7904	143	25	.	.	PUNCT
fumecheng-7904	144	1	now	now	ADV
fumecheng-7904	144	2	,	,	PUNCT
fumecheng-7904	144	3	depending	depend	VERB
fumecheng-7904	144	4	on	on	ADP
fumecheng-7904	144	5	its	its	PRON
fumecheng-7904	144	6	value	value	NOUN
fumecheng-7904	144	7	,	,	PUNCT
fumecheng-7904	144	8	two	two	NUM
fumecheng-7904	144	9	branches	branch	NOUN
fumecheng-7904	144	10	emerge	emerge	VERB
fumecheng-7904	144	11	from	from	ADP
fumecheng-7904	144	12	the	the	DET
fumecheng-7904	144	13	root	root	NOUN
fumecheng-7904	144	14	node	node	NOUN
fumecheng-7904	144	15	.	.	PUNCT
fumecheng-7904	145	1	when	when	SCONJ
fumecheng-7904	145	2	its	its	PRON
fumecheng-7904	145	3	value	value	NOUN
fumecheng-7904	145	4	is	be	AUX
fumecheng-7904	145	5	observed	observe	VERB
fumecheng-7904	145	6	to	to	PART
fumecheng-7904	145	7	be	be	AUX
fumecheng-7904	145	8	greater	great	ADJ
fumecheng-7904	145	9	than	than	ADP
fumecheng-7904	145	10	5	5	NUM
fumecheng-7904	145	11	mm	mm	NOUN
fumecheng-7904	145	12	,	,	PUNCT
fumecheng-7904	145	13	feed	feed	NOUN
fumecheng-7904	145	14	rate	rate	NOUN
fumecheng-7904	145	15	(	(	PUNCT
fumecheng-7904	145	16	f	f	X
fumecheng-7904	145	17	)	)	PUNCT
fumecheng-7904	145	18	is	be	AUX
fumecheng-7904	145	19	considered	consider	VERB
fumecheng-7904	145	20	as	as	ADP
fumecheng-7904	145	21	the	the	DET
fumecheng-7904	145	22	next	next	ADJ
fumecheng-7904	145	23	predictor	predictor	NOUN
fumecheng-7904	145	24	variable	variable	NOUN
fumecheng-7904	145	25	.	.	PUNCT
fumecheng-7904	146	1	the	the	DET
fumecheng-7904	146	2	rf	rf	NOUN
fumecheng-7904	146	3	regressor	regressor	NOUN
fumecheng-7904	146	4	predicts	predict	VERB
fumecheng-7904	146	5	the	the	DET
fumecheng-7904	146	6	mrr	mrr	NOUN
fumecheng-7904	146	7	value	value	NOUN
fumecheng-7904	146	8	as	as	ADP
fumecheng-7904	146	9	1628.8	1628.8	NUM
fumecheng-7904	146	10	mm3	mm3	PROPN
fumecheng-7904	146	11	/	/	SYM
fumecheng-7904	146	12	min	min	NOUN
fumecheng-7904	146	13	for	for	ADP
fumecheng-7904	146	14	feed	feed	NOUN
fumecheng-7904	146	15	rate	rate	NOUN
fumecheng-7904	146	16	greater	great	ADJ
fumecheng-7904	146	17	than	than	ADP
fumecheng-7904	146	18	220	220	NUM
fumecheng-7904	146	19	mm	mm	NOUN
fumecheng-7904	146	20	/	/	SYM
fumecheng-7904	146	21	min	min	PROPN
fumecheng-7904	146	22	.	.	PROPN
fumecheng-7904	146	23	on	on	ADP
fumecheng-7904	146	24	the	the	DET
fumecheng-7904	146	25	other	other	ADJ
fumecheng-7904	146	26	hand	hand	NOUN
fumecheng-7904	146	27	,	,	PUNCT
fumecheng-7904	146	28	when	when	SCONJ
fumecheng-7904	146	29	the	the	DET
fumecheng-7904	146	30	corresponding	corresponding	ADJ
fumecheng-7904	146	31	feed	feed	NOUN
fumecheng-7904	146	32	rate	rate	NOUN
fumecheng-7904	146	33	is	be	AUX
fumecheng-7904	146	34	less	less	ADJ
fumecheng-7904	146	35	than	than	ADP
fumecheng-7904	146	36	or	or	CCONJ
fumecheng-7904	146	37	equal	equal	ADJ
fumecheng-7904	146	38	to	to	ADP
fumecheng-7904	146	39	220	220	NUM
fumecheng-7904	146	40	mm	mm	NOUN
fumecheng-7904	146	41	/	/	SYM
fumecheng-7904	146	42	min	min	PROPN
fumecheng-7904	146	43	,	,	PUNCT
fumecheng-7904	146	44	it	it	PRON
fumecheng-7904	146	45	envisages	envisage	VERB
fumecheng-7904	146	46	the	the	DET
fumecheng-7904	146	47	value	value	NOUN
fumecheng-7904	146	48	of	of	ADP
fumecheng-7904	146	49	mrr	mrr	NOUN
fumecheng-7904	146	50	as	as	ADP
fumecheng-7904	146	51	1056	1056	NUM
fumecheng-7904	146	52	mm3	mm3	PROPN
fumecheng-7904	146	53	/	/	SYM
fumecheng-7904	146	54	min	min	NOUN
fumecheng-7904	146	55	.	.	PROPN
fumecheng-7904	146	56	in	in	ADP
fumecheng-7904	146	57	the	the	DET
fumecheng-7904	146	58	experimental	experimental	ADJ
fumecheng-7904	146	59	dataset	dataset	NOUN
fumecheng-7904	146	60	,	,	PUNCT
fumecheng-7904	146	61	there	there	PRON
fumecheng-7904	146	62	are	be	VERB
fumecheng-7904	146	63	eight	eight	NUM
fumecheng-7904	146	64	observations	observation	NOUN
fumecheng-7904	146	65	satisfying	satisfy	VERB
fumecheng-7904	146	66	the	the	DET
fumecheng-7904	146	67	condition	condition	NOUN
fumecheng-7904	146	68	of	of	ADP
fumecheng-7904	146	69	width	width	NOUN
fumecheng-7904	146	70	of	of	ADP
fumecheng-7904	146	71	cut	cut	NOUN
fumecheng-7904	146	72	greater	great	ADJ
fumecheng-7904	146	73	than	than	ADP
fumecheng-7904	146	74	5	5	NUM
fumecheng-7904	146	75	mm	mm	NOUN
fumecheng-7904	146	76	and	and	CCONJ
fumecheng-7904	146	77	feed	feed	NOUN
fumecheng-7904	146	78	rate	rate	NOUN
fumecheng-7904	146	79	greater	great	ADJ
fumecheng-7904	146	80	than	than	ADP
fumecheng-7904	146	81	220	220	NUM
fumecheng-7904	146	82	mm	mm	NOUN
fumecheng-7904	146	83	/	/	SYM
fumecheng-7904	146	84	min	min	PROPN
fumecheng-7904	146	85	.	.	PROPN
fumecheng-7904	146	86	similarly	similarly	ADV
fumecheng-7904	146	87	,	,	PUNCT
fumecheng-7904	146	88	five	five	NUM
fumecheng-7904	146	89	observations	observation	NOUN
fumecheng-7904	146	90	fulfill	fulfill	VERB
fumecheng-7904	146	91	the	the	DET
fumecheng-7904	146	92	condition	condition	NOUN
fumecheng-7904	146	93	of	of	ADP
fumecheng-7904	146	94	width	width	NOUN
fumecheng-7904	146	95	of	of	ADP
fumecheng-7904	146	96	cut	cut	NOUN
fumecheng-7904	146	97	greater	great	ADJ
fumecheng-7904	146	98	than	than	ADP
fumecheng-7904	146	99	5	5	NUM
fumecheng-7904	146	100	mm	mm	NOUN
fumecheng-7904	146	101	and	and	CCONJ
fumecheng-7904	146	102	feed	feed	NOUN
fumecheng-7904	146	103	rate	rate	NOUN
fumecheng-7904	146	104	less	less	ADJ
fumecheng-7904	146	105	than	than	ADP
fumecheng-7904	146	106	or	or	CCONJ
fumecheng-7904	146	107	equal	equal	ADJ
fumecheng-7904	146	108	to	to	ADP
fumecheng-7904	146	109	220	220	NUM
fumecheng-7904	146	110	mm	mm	NOUN
fumecheng-7904	146	111	/	/	SYM
fumecheng-7904	146	112	min	min	PROPN
fumecheng-7904	146	113	.	.	PROPN
fumecheng-7904	146	114	in	in	ADP
fumecheng-7904	146	115	this	this	DET
fumecheng-7904	146	116	decision	decision	NOUN
fumecheng-7904	146	117	tree	tree	NOUN
fumecheng-7904	146	118	,	,	PUNCT
fumecheng-7904	146	119	when	when	SCONJ
fumecheng-7904	146	120	the	the	DET
fumecheng-7904	146	121	value	value	NOUN
fumecheng-7904	146	122	of	of	ADP
fumecheng-7904	146	123	width	width	NOUN
fumecheng-7904	146	124	of	of	ADP
fumecheng-7904	146	125	cut	cut	NOUN
fumecheng-7904	146	126	is	be	AUX
fumecheng-7904	146	127	less	less	ADJ
fumecheng-7904	146	128	than	than	ADP
fumecheng-7904	146	129	or	or	CCONJ
fumecheng-7904	146	130	equal	equal	ADJ
fumecheng-7904	146	131	to	to	ADP
fumecheng-7904	146	132	5	5	NUM
fumecheng-7904	146	133	mm	mm	NOUN
fumecheng-7904	146	134	,	,	PUNCT
fumecheng-7904	146	135	spindle	spindle	NOUN
fumecheng-7904	146	136	speed	speed	NOUN
fumecheng-7904	146	137	(	(	PUNCT
fumecheng-7904	146	138	n	n	CCONJ
fumecheng-7904	146	139	)	)	PUNCT
fumecheng-7904	146	140	is	be	AUX
fumecheng-7904	146	141	considered	consider	VERB
fumecheng-7904	146	142	as	as	ADP
fumecheng-7904	146	143	the	the	DET
fumecheng-7904	146	144	succeeding	succeed	VERB
fumecheng-7904	146	145	predictor	predictor	NOUN
fumecheng-7904	146	146	variable	variable	NOUN
fumecheng-7904	146	147	.	.	PUNCT
fumecheng-7904	147	1	prediction	prediction	NOUN
fumecheng-7904	147	2	of	of	ADP
fumecheng-7904	147	3	responses	response	NOUN
fumecheng-7904	147	4	in	in	ADP
fumecheng-7904	147	5	a	a	DET
fumecheng-7904	147	6	cnc	cnc	PROPN
fumecheng-7904	147	7	milling	milling	NOUN
fumecheng-7904	147	8	operation	operation	NOUN
fumecheng-7904	147	9	using	use	VERB
fumecheng-7904	147	10	random	random	ADJ
fumecheng-7904	147	11	forest	forest	NOUN
fumecheng-7904	147	12	regressor	regressor	NOUN
fumecheng-7904	147	13	695	695	NUM
fumecheng-7904	147	14	fig	fig	NOUN
fumecheng-7904	147	15	.	.	PUNCT
fumecheng-7904	148	1	5	5	NUM
fumecheng-7904	148	2	a	a	DET
fumecheng-7904	148	3	sample	sample	NOUN
fumecheng-7904	148	4	decision	decision	NOUN
fumecheng-7904	148	5	tree	tree	NOUN
fumecheng-7904	148	6	for	for	ADP
fumecheng-7904	148	7	mrr	mrr	PROPN
fumecheng-7904	148	8	fig	fig	NOUN
fumecheng-7904	148	9	.	.	PUNCT
fumecheng-7904	149	1	6	6	NUM
fumecheng-7904	149	2	a	a	DET
fumecheng-7904	149	3	sample	sample	NOUN
fumecheng-7904	149	4	decision	decision	NOUN
fumecheng-7904	149	5	tree	tree	NOUN
fumecheng-7904	149	6	for	for	ADP
fumecheng-7904	149	7	ra	ra	PROPN
fumecheng-7904	149	8	696	696	NUM
fumecheng-7904	149	9	s.	s.	PROPN
fumecheng-7904	149	10	bhattacharya	bhattacharya	PROPN
fumecheng-7904	149	11	,	,	PUNCT
fumecheng-7904	149	12	s.	s.	PROPN
fumecheng-7904	149	13	chakraborty	chakraborty	PROPN
fumecheng-7904	149	14	fig	fig	PROPN
fumecheng-7904	149	15	.	.	PUNCT
fumecheng-7904	150	1	7	7	NUM
fumecheng-7904	150	2	a	a	DET
fumecheng-7904	150	3	sample	sample	NOUN
fumecheng-7904	150	4	decision	decision	NOUN
fumecheng-7904	150	5	tree	tree	NOUN
fumecheng-7904	150	6	for	for	ADP
fumecheng-7904	150	7	aec	aec	NOUN
fumecheng-7904	150	8	when	when	SCONJ
fumecheng-7904	150	9	the	the	DET
fumecheng-7904	150	10	corresponding	corresponding	ADJ
fumecheng-7904	150	11	spindle	spindle	NOUN
fumecheng-7904	150	12	speed	speed	NOUN
fumecheng-7904	150	13	is	be	AUX
fumecheng-7904	150	14	noticed	notice	VERB
fumecheng-7904	150	15	to	to	PART
fumecheng-7904	150	16	be	be	AUX
fumecheng-7904	150	17	greater	great	ADJ
fumecheng-7904	150	18	than	than	ADP
fumecheng-7904	150	19	1700	1700	NUM
fumecheng-7904	150	20	rev	rev	X
fumecheng-7904	150	21	/	/	SYM
fumecheng-7904	150	22	min	min	NOUN
fumecheng-7904	150	23	,	,	PUNCT
fumecheng-7904	150	24	it	it	PRON
fumecheng-7904	150	25	leads	lead	VERB
fumecheng-7904	150	26	to	to	ADP
fumecheng-7904	150	27	a	a	DET
fumecheng-7904	150	28	terminal	terminal	ADJ
fumecheng-7904	150	29	node	node	NOUN
fumecheng-7904	150	30	with	with	ADP
fumecheng-7904	150	31	the	the	DET
fumecheng-7904	150	32	predicted	predict	VERB
fumecheng-7904	150	33	mrr	mrr	NOUN
fumecheng-7904	150	34	value	value	NOUN
fumecheng-7904	150	35	as	as	ADP
fumecheng-7904	150	36	590	590	NUM
fumecheng-7904	150	37	mm3	mm3	PROPN
fumecheng-7904	150	38	/	/	SYM
fumecheng-7904	150	39	min	min	NOUN
fumecheng-7904	150	40	.	.	PROPN
fumecheng-7904	150	41	but	but	CCONJ
fumecheng-7904	150	42	,	,	PUNCT
fumecheng-7904	150	43	for	for	ADP
fumecheng-7904	150	44	spindle	spindle	NOUN
fumecheng-7904	150	45	speed	speed	NOUN
fumecheng-7904	150	46	less	less	ADJ
fumecheng-7904	150	47	than	than	ADP
fumecheng-7904	150	48	or	or	CCONJ
fumecheng-7904	150	49	equal	equal	ADJ
fumecheng-7904	150	50	to	to	ADP
fumecheng-7904	150	51	1700	1700	NUM
fumecheng-7904	150	52	rev	rev	X
fumecheng-7904	150	53	/	/	SYM
fumecheng-7904	150	54	min	min	NOUN
fumecheng-7904	150	55	,	,	PUNCT
fumecheng-7904	150	56	depth	depth	NOUN
fumecheng-7904	150	57	of	of	ADP
fumecheng-7904	150	58	cut	cut	NOUN
fumecheng-7904	150	59	(	(	PUNCT
fumecheng-7904	150	60	ap	ap	PROPN
fumecheng-7904	150	61	)	)	PUNCT
fumecheng-7904	150	62	is	be	AUX
fumecheng-7904	150	63	adopted	adopt	VERB
fumecheng-7904	150	64	to	to	PART
fumecheng-7904	150	65	generate	generate	VERB
fumecheng-7904	150	66	two	two	NUM
fumecheng-7904	150	67	more	more	ADJ
fumecheng-7904	150	68	child	child	NOUN
fumecheng-7904	150	69	nodes	node	NOUN
fumecheng-7904	150	70	.	.	PUNCT
fumecheng-7904	151	1	the	the	DET
fumecheng-7904	151	2	rf	rf	NOUN
fumecheng-7904	151	3	regressor	regressor	NOUN
fumecheng-7904	151	4	predicts	predict	VERB
fumecheng-7904	151	5	the	the	DET
fumecheng-7904	151	6	mrr	mrr	NOUN
fumecheng-7904	151	7	value	value	NOUN
fumecheng-7904	151	8	as	as	ADP
fumecheng-7904	151	9	675	675	NUM
fumecheng-7904	151	10	mm3	mm3	NOUN
fumecheng-7904	151	11	/	/	SYM
fumecheng-7904	151	12	min	min	NOUN
fumecheng-7904	151	13	when	when	SCONJ
fumecheng-7904	151	14	the	the	DET
fumecheng-7904	151	15	depth	depth	NOUN
fumecheng-7904	151	16	of	of	ADP
fumecheng-7904	151	17	cut	cut	NOUN
fumecheng-7904	151	18	is	be	AUX
fumecheng-7904	151	19	found	find	VERB
fumecheng-7904	151	20	to	to	PART
fumecheng-7904	151	21	be	be	AUX
fumecheng-7904	151	22	more	more	ADJ
fumecheng-7904	151	23	than	than	ADP
fumecheng-7904	151	24	0.4	0.4	NUM
fumecheng-7904	151	25	mm	mm	NOUN
fumecheng-7904	151	26	,	,	PUNCT
fumecheng-7904	151	27	and	and	CCONJ
fumecheng-7904	151	28	for	for	ADP
fumecheng-7904	151	29	depth	depth	NOUN
fumecheng-7904	151	30	of	of	ADP
fumecheng-7904	151	31	cut	cut	NOUN
fumecheng-7904	151	32	less	less	ADJ
fumecheng-7904	151	33	than	than	ADP
fumecheng-7904	151	34	or	or	CCONJ
fumecheng-7904	151	35	equal	equal	ADJ
fumecheng-7904	151	36	to	to	ADP
fumecheng-7904	151	37	0.4	0.4	NUM
fumecheng-7904	151	38	mm	mm	NOUN
fumecheng-7904	151	39	,	,	PUNCT
fumecheng-7904	151	40	the	the	DET
fumecheng-7904	151	41	predicted	predict	VERB
fumecheng-7904	151	42	value	value	NOUN
fumecheng-7904	151	43	of	of	ADP
fumecheng-7904	151	44	mrr	mrr	NOUN
fumecheng-7904	151	45	is	be	AUX
fumecheng-7904	151	46	405	405	NUM
fumecheng-7904	151	47	mm3	mm3	PROPN
fumecheng-7904	151	48	/	/	SYM
fumecheng-7904	151	49	min	min	NOUN
fumecheng-7904	151	50	.	.	PUNCT
fumecheng-7904	152	1	the	the	DET
fumecheng-7904	152	2	decision	decision	NOUN
fumecheng-7904	152	3	tress	tress	NOUN
fumecheng-7904	152	4	for	for	ADP
fumecheng-7904	152	5	ra	ra	PROPN
fumecheng-7904	152	6	and	and	CCONJ
fumecheng-7904	152	7	aec	aec	PROPN
fumecheng-7904	152	8	,	,	PUNCT
fumecheng-7904	152	9	in	in	ADP
fumecheng-7904	152	10	figs	fig	NOUN
fumecheng-7904	152	11	.	.	PUNCT
fumecheng-7904	153	1	6	6	NUM
fumecheng-7904	153	2	and	and	CCONJ
fumecheng-7904	153	3	7	7	NUM
fumecheng-7904	153	4	,	,	PUNCT
fumecheng-7904	153	5	can	can	AUX
fumecheng-7904	153	6	also	also	ADV
fumecheng-7904	153	7	be	be	AUX
fumecheng-7904	153	8	similarly	similarly	ADV
fumecheng-7904	153	9	explained	explain	VERB
fumecheng-7904	153	10	.	.	PUNCT
fumecheng-7904	154	1	5	5	X
fumecheng-7904	154	2	.	.	NOUN
fumecheng-7904	154	3	prediction	prediction	NOUN
fumecheng-7904	154	4	performance	performance	NOUN
fumecheng-7904	154	5	of	of	ADP
fumecheng-7904	154	6	the	the	DET
fumecheng-7904	154	7	rf	rf	ADJ
fumecheng-7904	154	8	regressor	regressor	NOUN
fumecheng-7904	154	9	in	in	ADP
fumecheng-7904	154	10	this	this	DET
fumecheng-7904	154	11	paper	paper	NOUN
fumecheng-7904	154	12	,	,	PUNCT
fumecheng-7904	154	13	the	the	DET
fumecheng-7904	154	14	prediction	prediction	NOUN
fumecheng-7904	154	15	performance	performance	NOUN
fumecheng-7904	154	16	of	of	ADP
fumecheng-7904	154	17	the	the	DET
fumecheng-7904	154	18	proposed	propose	VERB
fumecheng-7904	154	19	rf	rf	NOUN
fumecheng-7904	154	20	regressor	regressor	NOUN
fumecheng-7904	154	21	is	be	AUX
fumecheng-7904	154	22	validated	validate	VERB
fumecheng-7904	154	23	using	use	VERB
fumecheng-7904	154	24	five	five	NUM
fumecheng-7904	154	25	statistical	statistical	ADJ
fumecheng-7904	154	26	metrics	metric	NOUN
fumecheng-7904	154	27	,	,	PUNCT
fumecheng-7904	154	28	i.e.	i.e.	X
fumecheng-7904	154	29	mape	mape	NOUN
fumecheng-7904	154	30	,	,	PUNCT
fumecheng-7904	154	31	rmspe	rmspe	PROPN
fumecheng-7904	154	32	,	,	PUNCT
fumecheng-7904	154	33	rmsle	rmsle	NOUN
fumecheng-7904	154	34	,	,	PUNCT
fumecheng-7904	154	35	r	r	NOUN
fumecheng-7904	154	36	and	and	CCONJ
fumecheng-7904	154	37	rrse	rrse	NOUN
fumecheng-7904	154	38	.	.	PUNCT
fumecheng-7904	155	1	the	the	DET
fumecheng-7904	155	2	mathematical	mathematical	ADJ
fumecheng-7904	155	3	formulations	formulation	NOUN
fumecheng-7904	155	4	of	of	ADP
fumecheng-7904	155	5	all	all	DET
fumecheng-7904	155	6	these	these	DET
fumecheng-7904	155	7	measures	measure	NOUN
fumecheng-7904	155	8	are	be	AUX
fumecheng-7904	155	9	presented	present	VERB
fumecheng-7904	155	10	as	as	ADP
fumecheng-7904	155	11	below	below	ADV
fumecheng-7904	155	12	:	:	PUNCT
fumecheng-7904	155	13	mape	mape	NOUN
fumecheng-7904	155	14	:	:	PUNCT
fumecheng-7904	155	15	100	100	NUM
fumecheng-7904	155	16	1	1	NUM
fumecheng-7904	155	17	1	1	NUM
fumecheng-7904	155	18			NOUN
fumecheng-7904	155	19	−	−	NOUN
fumecheng-7904	155	20			X
fumecheng-7904	155	21	=	=	PUNCT
fumecheng-7904	156	1	n	n	CCONJ
fumecheng-7904	156	2	i	i	PRON
fumecheng-7904	157	1	i	i	PRON
fumecheng-7904	157	2	ii	ii	VERB
fumecheng-7904	157	3	a	a	DET
fumecheng-7904	157	4	pa	pa	PROPN
fumecheng-7904	157	5	n	n	PROPN
fumecheng-7904	157	6	(	(	PUNCT
fumecheng-7904	157	7	1	1	NUM
fumecheng-7904	157	8	)	)	PUNCT
fumecheng-7904	157	9	rmspe	rmspe	NOUN
fumecheng-7904	157	10	:	:	PUNCT
fumecheng-7904	157	11	100	100	NUM
fumecheng-7904	157	12	1	1	NUM
fumecheng-7904	157	13	1	1	NUM
fumecheng-7904	157	14	2	2	NUM
fumecheng-7904	157	15			NOUN
fumecheng-7904	157	16			PROPN
fumecheng-7904	157	17			NOUN
fumecheng-7904	158	1			PROPN
fumecheng-7904	158	2			PROPN
fumecheng-7904	158	3			PROPN
fumecheng-7904	159	1			PROPN
fumecheng-7904	159	2			NOUN
fumecheng-7904	159	3	−	−	NOUN
fumecheng-7904	159	4			X
fumecheng-7904	159	5	=	=	PUNCT
fumecheng-7904	160	1	n	n	CCONJ
fumecheng-7904	160	2	i	i	PRON
fumecheng-7904	161	1	i	i	PRON
fumecheng-7904	161	2	ii	ii	VERB
fumecheng-7904	161	3	a	a	DET
fumecheng-7904	161	4	pa	pa	PROPN
fumecheng-7904	161	5	n	n	PROPN
fumecheng-7904	161	6	(	(	PUNCT
fumecheng-7904	161	7	2	2	NUM
fumecheng-7904	161	8	)	)	PUNCT
fumecheng-7904	161	9			X
fumecheng-7904	162	1	=	=	PUNCT
fumecheng-7904	163	1	+	+	PUNCT
fumecheng-7904	163	2	−+	−+	PROPN
fumecheng-7904	163	3	n	n	INTJ
fumecheng-7904	163	4	i	i	PRON
fumecheng-7904	163	5	ii	ii	VERB
fumecheng-7904	163	6	ap	ap	PROPN
fumecheng-7904	163	7	n	n	PROPN
fumecheng-7904	163	8	1	1	NUM
fumecheng-7904	163	9	2))1log()1(log	2))1log()1(log	NUM
fumecheng-7904	163	10	(	(	PUNCT
fumecheng-7904	163	11	1	1	NUM
fumecheng-7904	163	12	(	(	PUNCT
fumecheng-7904	163	13	3	3	NUM
fumecheng-7904	163	14	)	)	PUNCT
fumecheng-7904	163	15	r	r	NOUN
fumecheng-7904	163	16	:	:	PUNCT
fumecheng-7904	163	17			X
fumecheng-7904	163	18			X
fumecheng-7904	163	19	=	=	PUNCT
fumecheng-7904	164	1	=	=	PUNCT
fumecheng-7904	164	2	−−	−−	NOUN
fumecheng-7904	164	3	−−	−−	PROPN
fumecheng-7904	164	4	n	n	CCONJ
fumecheng-7904	164	5	i	i	PRON
fumecheng-7904	165	1	n	n	VERB
fumecheng-7904	166	1	i	i	PRON
fumecheng-7904	167	1	i	i	PRON
fumecheng-7904	167	2	ppaa	ppaa	VERB
fumecheng-7904	167	3	ppaa	ppaa	ADJ
fumecheng-7904	167	4	1	1	NUM
fumecheng-7904	167	5	22	22	NUM
fumecheng-7904	167	6	1	1	NUM
fumecheng-7904	167	7	)	)	PUNCT
fumecheng-7904	167	8	(	(	PUNCT
fumecheng-7904	167	9	)	)	PUNCT
fumecheng-7904	167	10	(	(	PUNCT
fumecheng-7904	167	11	)	)	PUNCT
fumecheng-7904	167	12	)	)	PUNCT
fumecheng-7904	167	13	(	(	PUNCT
fumecheng-7904	167	14	(	(	PUNCT
fumecheng-7904	167	15	(	(	PUNCT
fumecheng-7904	167	16	4	4	X
fumecheng-7904	167	17	)	)	PUNCT
fumecheng-7904	167	18	prediction	prediction	NOUN
fumecheng-7904	167	19	of	of	ADP
fumecheng-7904	167	20	responses	response	NOUN
fumecheng-7904	167	21	in	in	ADP
fumecheng-7904	167	22	a	a	DET
fumecheng-7904	167	23	cnc	cnc	PROPN
fumecheng-7904	167	24	milling	milling	NOUN
fumecheng-7904	167	25	operation	operation	NOUN
fumecheng-7904	167	26	using	use	VERB
fumecheng-7904	167	27	random	random	ADJ
fumecheng-7904	167	28	forest	forest	NOUN
fumecheng-7904	167	29	regressor	regressor	NOUN
fumecheng-7904	167	30	697	697	NUM
fumecheng-7904	167	31	rrse	rrse	NOUN
fumecheng-7904	167	32	:	:	PUNCT
fumecheng-7904	167	33			X
fumecheng-7904	167	34			X
fumecheng-7904	168	1	=	=	PUNCT
fumecheng-7904	168	2	=	=	PUNCT
fumecheng-7904	169	1	−	−	NOUN
fumecheng-7904	169	2	−	−	PROPN
fumecheng-7904	170	1	n	n	CCONJ
fumecheng-7904	170	2	i	i	PRON
fumecheng-7904	171	1	i	i	PRON
fumecheng-7904	172	1	n	n	VERB
fumecheng-7904	173	1	i	i	PRON
fumecheng-7904	173	2	ii	ii	VERB
fumecheng-7904	173	3	aa	aa	NOUN
fumecheng-7904	173	4	ap	ap	PROPN
fumecheng-7904	174	1	1	1	NUM
fumecheng-7904	174	2	2	2	NUM
fumecheng-7904	174	3	1	1	NUM
fumecheng-7904	174	4	2	2	NUM
fumecheng-7904	174	5	)	)	PUNCT
fumecheng-7904	174	6	(	(	PUNCT
fumecheng-7904	174	7	)	)	PUNCT
fumecheng-7904	174	8	(	(	PUNCT
fumecheng-7904	174	9	(	(	PUNCT
fumecheng-7904	174	10	5	5	X
fumecheng-7904	174	11	)	)	PUNCT
fumecheng-7904	174	12	where	where	SCONJ
fumecheng-7904	174	13	ai	ai	VERB
fumecheng-7904	174	14	and	and	CCONJ
fumecheng-7904	174	15	pi	pi	NOUN
fumecheng-7904	174	16	are	be	AUX
fumecheng-7904	174	17	the	the	DET
fumecheng-7904	174	18	actual	actual	ADJ
fumecheng-7904	174	19	and	and	CCONJ
fumecheng-7904	174	20	predicted	predict	VERB
fumecheng-7904	174	21	response	response	NOUN
fumecheng-7904	174	22	values	value	NOUN
fumecheng-7904	174	23	,	,	PUNCT
fumecheng-7904	174	24	a	a	PRON
fumecheng-7904	174	25	and	and	CCONJ
fumecheng-7904	174	26	p	p	NOUN
fumecheng-7904	174	27	are	be	AUX
fumecheng-7904	174	28	the	the	DET
fumecheng-7904	174	29	means	mean	NOUN
fumecheng-7904	174	30	of	of	ADP
fumecheng-7904	174	31	all	all	DET
fumecheng-7904	174	32	the	the	DET
fumecheng-7904	174	33	actual	actual	ADJ
fumecheng-7904	174	34	and	and	CCONJ
fumecheng-7904	174	35	predicted	predict	VERB
fumecheng-7904	174	36	response	response	NOUN
fumecheng-7904	174	37	values	value	NOUN
fumecheng-7904	174	38	,	,	PUNCT
fumecheng-7904	174	39	and	and	CCONJ
fumecheng-7904	174	40	n	n	PRON
fumecheng-7904	174	41	is	be	AUX
fumecheng-7904	174	42	the	the	DET
fumecheng-7904	174	43	number	number	NOUN
fumecheng-7904	174	44	of	of	ADP
fumecheng-7904	174	45	observations	observation	NOUN
fumecheng-7904	174	46	in	in	ADP
fumecheng-7904	174	47	the	the	DET
fumecheng-7904	174	48	test	test	NOUN
fumecheng-7904	174	49	dataset	dataset	NOUN
fumecheng-7904	174	50	.	.	PUNCT
fumecheng-7904	175	1	the	the	DET
fumecheng-7904	175	2	mape	mape	NOUN
fumecheng-7904	175	3	measures	measure	VERB
fumecheng-7904	175	4	the	the	DET
fumecheng-7904	175	5	absolute	absolute	ADJ
fumecheng-7904	175	6	percentage	percentage	NOUN
fumecheng-7904	175	7	error	error	NOUN
fumecheng-7904	175	8	between	between	ADP
fumecheng-7904	175	9	the	the	DET
fumecheng-7904	175	10	actual	actual	ADJ
fumecheng-7904	175	11	and	and	CCONJ
fumecheng-7904	175	12	predicted	predict	VERB
fumecheng-7904	175	13	response	response	NOUN
fumecheng-7904	175	14	values	value	NOUN
fumecheng-7904	175	15	.	.	PUNCT
fumecheng-7904	176	1	its	its	PRON
fumecheng-7904	176	2	main	main	ADJ
fumecheng-7904	176	3	problem	problem	NOUN
fumecheng-7904	176	4	is	be	AUX
fumecheng-7904	176	5	that	that	SCONJ
fumecheng-7904	176	6	it	it	PRON
fumecheng-7904	176	7	introduces	introduce	VERB
fumecheng-7904	176	8	a	a	DET
fumecheng-7904	176	9	heavy	heavy	ADJ
fumecheng-7904	176	10	penalty	penalty	NOUN
fumecheng-7904	176	11	when	when	SCONJ
fumecheng-7904	176	12	the	the	DET
fumecheng-7904	176	13	actual	actual	ADJ
fumecheng-7904	176	14	value	value	NOUN
fumecheng-7904	176	15	is	be	AUX
fumecheng-7904	176	16	close	close	ADJ
fumecheng-7904	176	17	to	to	ADP
fumecheng-7904	176	18	0	0	NUM
fumecheng-7904	176	19	.	.	PUNCT
fumecheng-7904	177	1	on	on	ADP
fumecheng-7904	177	2	the	the	DET
fumecheng-7904	177	3	contrary	contrary	NOUN
fumecheng-7904	177	4	,	,	PUNCT
fumecheng-7904	177	5	rmspe	rmspe	PROPN
fumecheng-7904	177	6	provides	provide	VERB
fumecheng-7904	177	7	an	an	DET
fumecheng-7904	177	8	estimation	estimation	NOUN
fumecheng-7904	177	9	of	of	ADP
fumecheng-7904	177	10	the	the	DET
fumecheng-7904	177	11	standard	standard	ADJ
fumecheng-7904	177	12	deviation	deviation	NOUN
fumecheng-7904	177	13	of	of	ADP
fumecheng-7904	177	14	the	the	DET
fumecheng-7904	177	15	residuals	residual	NOUN
fumecheng-7904	177	16	.	.	PUNCT
fumecheng-7904	178	1	but	but	CCONJ
fumecheng-7904	178	2	its	its	PRON
fumecheng-7904	178	3	value	value	NOUN
fumecheng-7904	178	4	is	be	AUX
fumecheng-7904	178	5	significantly	significantly	ADV
fumecheng-7904	178	6	affected	affect	VERB
fumecheng-7904	178	7	by	by	ADP
fumecheng-7904	178	8	the	the	DET
fumecheng-7904	178	9	presence	presence	NOUN
fumecheng-7904	178	10	of	of	ADP
fumecheng-7904	178	11	outliers	outlier	NOUN
fumecheng-7904	178	12	in	in	ADP
fumecheng-7904	178	13	the	the	DET
fumecheng-7904	178	14	dataset	dataset	NOUN
fumecheng-7904	178	15	.	.	PUNCT
fumecheng-7904	179	1	this	this	DET
fumecheng-7904	179	2	problem	problem	NOUN
fumecheng-7904	179	3	can	can	AUX
fumecheng-7904	179	4	be	be	AUX
fumecheng-7904	179	5	avoided	avoid	VERB
fumecheng-7904	179	6	to	to	ADP
fumecheng-7904	179	7	some	some	DET
fumecheng-7904	179	8	extent	extent	NOUN
fumecheng-7904	179	9	by	by	ADP
fumecheng-7904	179	10	the	the	DET
fumecheng-7904	179	11	application	application	NOUN
fumecheng-7904	179	12	of	of	ADP
fumecheng-7904	179	13	rmsle	rmsle	PROPN
fumecheng-7904	179	14	along	along	ADP
fumecheng-7904	179	15	with	with	ADP
fumecheng-7904	179	16	rmspe	rmspe	PROPN
fumecheng-7904	179	17	.	.	PUNCT
fumecheng-7904	180	1	the	the	DET
fumecheng-7904	180	2	degree	degree	NOUN
fumecheng-7904	180	3	of	of	ADP
fumecheng-7904	180	4	association	association	NOUN
fumecheng-7904	180	5	between	between	ADP
fumecheng-7904	180	6	the	the	DET
fumecheng-7904	180	7	actual	actual	ADJ
fumecheng-7904	180	8	and	and	CCONJ
fumecheng-7904	180	9	predicted	predict	VERB
fumecheng-7904	180	10	response	response	NOUN
fumecheng-7904	180	11	values	value	NOUN
fumecheng-7904	180	12	is	be	AUX
fumecheng-7904	180	13	computed	compute	VERB
fumecheng-7904	180	14	using	use	VERB
fumecheng-7904	180	15	r	r	NOUN
fumecheng-7904	180	16	value	value	NOUN
fumecheng-7904	180	17	.	.	PUNCT
fumecheng-7904	181	1	finally	finally	ADV
fumecheng-7904	181	2	,	,	PUNCT
fumecheng-7904	181	3	rrse	rrse	NOUN
fumecheng-7904	181	4	calculates	calculate	VERB
fumecheng-7904	181	5	the	the	DET
fumecheng-7904	181	6	total	total	ADJ
fumecheng-7904	181	7	squared	square	VERB
fumecheng-7904	181	8	error	error	NOUN
fumecheng-7904	181	9	and	and	CCONJ
fumecheng-7904	181	10	normalizes	normalize	VERB
fumecheng-7904	181	11	it	it	PRON
fumecheng-7904	181	12	while	while	SCONJ
fumecheng-7904	181	13	dividing	divide	VERB
fumecheng-7904	181	14	by	by	ADP
fumecheng-7904	181	15	the	the	DET
fumecheng-7904	181	16	total	total	ADJ
fumecheng-7904	181	17	squared	square	VERB
fumecheng-7904	181	18	error	error	NOUN
fumecheng-7904	181	19	of	of	ADP
fumecheng-7904	181	20	the	the	DET
fumecheng-7904	181	21	simple	simple	ADJ
fumecheng-7904	181	22	predictor	predictor	NOUN
fumecheng-7904	181	23	.	.	PUNCT
fumecheng-7904	182	1	while	while	SCONJ
fumecheng-7904	182	2	taking	take	VERB
fumecheng-7904	182	3	the	the	DET
fumecheng-7904	182	4	square	square	ADJ
fumecheng-7904	182	5	root	root	NOUN
fumecheng-7904	182	6	of	of	ADP
fumecheng-7904	182	7	the	the	DET
fumecheng-7904	182	8	relative	relative	ADJ
fumecheng-7904	182	9	squared	square	VERB
fumecheng-7904	182	10	error	error	NOUN
fumecheng-7904	182	11	,	,	PUNCT
fumecheng-7904	182	12	the	the	DET
fumecheng-7904	182	13	error	error	NOUN
fumecheng-7904	182	14	is	be	AUX
fumecheng-7904	182	15	reduced	reduce	VERB
fumecheng-7904	182	16	to	to	ADP
fumecheng-7904	182	17	the	the	DET
fumecheng-7904	182	18	same	same	ADJ
fumecheng-7904	182	19	dimension	dimension	NOUN
fumecheng-7904	182	20	as	as	SCONJ
fumecheng-7904	182	21	the	the	DET
fumecheng-7904	182	22	response	response	NOUN
fumecheng-7904	182	23	being	be	AUX
fumecheng-7904	182	24	predicted	predict	VERB
fumecheng-7904	182	25	.	.	PUNCT
fumecheng-7904	183	1	among	among	ADP
fumecheng-7904	183	2	all	all	DET
fumecheng-7904	183	3	these	these	DET
fumecheng-7904	183	4	measures	measure	NOUN
fumecheng-7904	183	5	,	,	PUNCT
fumecheng-7904	183	6	a	a	DET
fumecheng-7904	183	7	higher	high	ADJ
fumecheng-7904	183	8	value	value	NOUN
fumecheng-7904	183	9	is	be	AUX
fumecheng-7904	183	10	always	always	ADV
fumecheng-7904	183	11	preferable	preferable	ADJ
fumecheng-7904	183	12	for	for	ADP
fumecheng-7904	183	13	r	r	NOUN
fumecheng-7904	183	14	,	,	PUNCT
fumecheng-7904	183	15	while	while	SCONJ
fumecheng-7904	183	16	for	for	ADP
fumecheng-7904	183	17	the	the	DET
fumecheng-7904	183	18	remaining	remain	VERB
fumecheng-7904	183	19	measures	measure	NOUN
fumecheng-7904	183	20	,	,	PUNCT
fumecheng-7904	183	21	lower	low	ADJ
fumecheng-7904	183	22	values	value	NOUN
fumecheng-7904	183	23	would	would	AUX
fumecheng-7904	183	24	indicate	indicate	VERB
fumecheng-7904	183	25	better	well	ADJ
fumecheng-7904	183	26	prediction	prediction	NOUN
fumecheng-7904	183	27	performance	performance	NOUN
fumecheng-7904	183	28	of	of	ADP
fumecheng-7904	183	29	the	the	DET
fumecheng-7904	183	30	rf	rf	NOUN
fumecheng-7904	183	31	regressor	regressor	NOUN
fumecheng-7904	183	32	[	[	X
fumecheng-7904	183	33	27	27	NUM
fumecheng-7904	183	34	]	]	PUNCT
fumecheng-7904	183	35	.	.	PUNCT
fumecheng-7904	184	1	in	in	ADP
fumecheng-7904	184	2	table	table	NOUN
fumecheng-7904	184	3	7	7	NUM
fumecheng-7904	184	4	,	,	PUNCT
fumecheng-7904	184	5	the	the	DET
fumecheng-7904	184	6	predicted	predict	VERB
fumecheng-7904	184	7	values	value	NOUN
fumecheng-7904	184	8	of	of	ADP
fumecheng-7904	184	9	all	all	DET
fumecheng-7904	184	10	the	the	DET
fumecheng-7904	184	11	responses	response	NOUN
fumecheng-7904	184	12	for	for	ADP
fumecheng-7904	184	13	the	the	DET
fumecheng-7904	184	14	considered	consider	VERB
fumecheng-7904	184	15	testing	testing	NOUN
fumecheng-7904	184	16	dataset	dataset	NOUN
fumecheng-7904	184	17	are	be	AUX
fumecheng-7904	184	18	provided	provide	VERB
fumecheng-7904	184	19	.	.	PUNCT
fumecheng-7904	185	1	on	on	ADP
fumecheng-7904	185	2	the	the	DET
fumecheng-7904	185	3	other	other	ADJ
fumecheng-7904	185	4	hand	hand	NOUN
fumecheng-7904	185	5	,	,	PUNCT
fumecheng-7904	185	6	table	table	NOUN
fumecheng-7904	185	7	8	8	NUM
fumecheng-7904	185	8	shows	show	VERB
fumecheng-7904	185	9	the	the	DET
fumecheng-7904	185	10	computed	computed	ADJ
fumecheng-7904	185	11	values	value	NOUN
fumecheng-7904	185	12	of	of	ADP
fumecheng-7904	185	13	the	the	DET
fumecheng-7904	185	14	five	five	NUM
fumecheng-7904	185	15	statistical	statistical	ADJ
fumecheng-7904	185	16	metrics	metric	NOUN
fumecheng-7904	185	17	used	use	VERB
fumecheng-7904	185	18	to	to	PART
fumecheng-7904	185	19	evaluate	evaluate	VERB
fumecheng-7904	185	20	the	the	DET
fumecheng-7904	185	21	prediction	prediction	NOUN
fumecheng-7904	185	22	performance	performance	NOUN
fumecheng-7904	185	23	of	of	ADP
fumecheng-7904	185	24	the	the	DET
fumecheng-7904	185	25	developed	develop	VERB
fumecheng-7904	185	26	rf	rf	NOUN
fumecheng-7904	185	27	regressor	regressor	NOUN
fumecheng-7904	185	28	.	.	PUNCT
fumecheng-7904	186	1	table	table	NOUN
fumecheng-7904	186	2	7	7	NUM
fumecheng-7904	186	3	predicted	predict	VERB
fumecheng-7904	186	4	response	response	NOUN
fumecheng-7904	186	5	values	value	NOUN
fumecheng-7904	186	6	using	use	VERB
fumecheng-7904	186	7	the	the	DET
fumecheng-7904	186	8	rf	rf	NOUN
fumecheng-7904	186	9	regressor	regressor	NOUN
fumecheng-7904	186	10	sl	sl	INTJ
fumecheng-7904	186	11	.	.	PUNCT
fumecheng-7904	187	1	no	no	INTJ
fumecheng-7904	187	2	.	.	PUNCT
fumecheng-7904	188	1	response	response	NOUN
fumecheng-7904	188	2	mrr	mrr	PROPN
fumecheng-7904	188	3	ra	ra	PROPN
fumecheng-7904	188	4	aec	aec	PROPN
fumecheng-7904	188	5	actual	actual	ADJ
fumecheng-7904	188	6	predicted	predict	VERB
fumecheng-7904	188	7	actual	actual	ADJ
fumecheng-7904	188	8	predicted	predict	VERB
fumecheng-7904	188	9	actual	actual	ADJ
fumecheng-7904	188	10	predicted	predict	VERB
fumecheng-7904	188	11	1	1	NUM
fumecheng-7904	188	12	1080	1080	NUM
fumecheng-7904	188	13	1026.07	1026.07	NUM
fumecheng-7904	188	14	3.87	3.87	NUM
fumecheng-7904	188	15	2.66	2.66	NUM
fumecheng-7904	188	16	146.050	146.050	NUM
fumecheng-7904	188	17	182.17	182.17	NUM
fumecheng-7904	188	18	2	2	NUM
fumecheng-7904	188	19	1280	1280	NUM
fumecheng-7904	188	20	1173.09	1173.09	NUM
fumecheng-7904	188	21	3.53	3.53	NUM
fumecheng-7904	188	22	2.67	2.67	NUM
fumecheng-7904	188	23	122.976	122.976	NUM
fumecheng-7904	188	24	174.08	174.08	NUM
fumecheng-7904	188	25	3	3	NUM
fumecheng-7904	188	26	1320	1320	NUM
fumecheng-7904	188	27	1546	1546	NUM
fumecheng-7904	188	28	1.13	1.13	NUM
fumecheng-7904	188	29	1.53	1.53	NUM
fumecheng-7904	188	30	142.727	142.727	NUM
fumecheng-7904	188	31	132.51	132.51	NUM
fumecheng-7904	188	32	4	4	NUM
fumecheng-7904	188	33	960	960	NUM
fumecheng-7904	188	34	1093.37	1093.37	NUM
fumecheng-7904	188	35	2.55	2.55	NUM
fumecheng-7904	188	36	2.62	2.62	NUM
fumecheng-7904	188	37	213.559	213.559	NUM
fumecheng-7904	188	38	253.95	253.95	NUM
fumecheng-7904	188	39	5	5	NUM
fumecheng-7904	188	40	440	440	NUM
fumecheng-7904	188	41	626.87	626.87	NUM
fumecheng-7904	188	42	3.33	3.33	NUM
fumecheng-7904	188	43	3.46	3.46	NUM
fumecheng-7904	188	44	425.797	425.797	NUM
fumecheng-7904	188	45	320.95	320.95	NUM
fumecheng-7904	188	46	6	6	NUM
fumecheng-7904	188	47	1350	1350	NUM
fumecheng-7904	188	48	1125.97	1125.97	NUM
fumecheng-7904	188	49	2.58	2.58	NUM
fumecheng-7904	188	50	2.57	2.57	NUM
fumecheng-7904	188	51	131.343	131.343	NUM
fumecheng-7904	188	52	155.14	155.14	NUM
fumecheng-7904	188	53	table	table	NOUN
fumecheng-7904	188	54	8	8	NUM
fumecheng-7904	188	55	values	value	NOUN
fumecheng-7904	188	56	of	of	ADP
fumecheng-7904	188	57	the	the	DET
fumecheng-7904	188	58	statistical	statistical	ADJ
fumecheng-7904	188	59	measures	measure	NOUN
fumecheng-7904	188	60	for	for	ADP
fumecheng-7904	188	61	the	the	DET
fumecheng-7904	188	62	responses	response	NOUN
fumecheng-7904	188	63	statistical	statistical	ADJ
fumecheng-7904	188	64	measure	measure	NOUN
fumecheng-7904	188	65	mrr	mrr	PROPN
fumecheng-7904	188	66	ra	ra	PROPN
fumecheng-7904	188	67	aec	aec	PROPN
fumecheng-7904	188	68	mape	mape	NOUN
fumecheng-7904	188	69	17.23	17.23	NUM
fumecheng-7904	188	70	16.34	16.34	NUM
fumecheng-7904	188	71	22.51	22.51	NUM
fumecheng-7904	188	72	rmspe	rmspe	NOUN
fumecheng-7904	188	73	21.00	21.00	NUM
fumecheng-7904	188	74	21.78	21.78	NUM
fumecheng-7904	188	75	24.77	24.77	NUM
fumecheng-7904	188	76	rmsle	rmsle	NOUN
fumecheng-7904	188	77	0.19	0.19	NUM
fumecheng-7904	188	78	0.16	0.16	NUM
fumecheng-7904	188	79	0.23	0.23	NUM
fumecheng-7904	188	80	r	r	NOUN
fumecheng-7904	188	81	0.85	0.85	NUM
fumecheng-7904	188	82	0.78	0.78	NUM
fumecheng-7904	188	83	0.92	0.92	NUM
fumecheng-7904	188	84	rrse	rrse	NOUN
fumecheng-7904	188	85	0.53	0.53	NUM
fumecheng-7904	188	86	0.7	0.7	NUM
fumecheng-7904	188	87	0.5	0.5	NUM
fumecheng-7904	188	88	698	698	NUM
fumecheng-7904	188	89	s.	s.	PROPN
fumecheng-7904	188	90	bhattacharya	bhattacharya	PROPN
fumecheng-7904	188	91	,	,	PUNCT
fumecheng-7904	188	92	s.	s.	PROPN
fumecheng-7904	188	93	chakraborty	chakraborty	PROPN
fumecheng-7904	188	94	from	from	ADP
fumecheng-7904	188	95	table	table	NOUN
fumecheng-7904	188	96	8	8	NUM
fumecheng-7904	188	97	,	,	PUNCT
fumecheng-7904	188	98	it	it	PRON
fumecheng-7904	188	99	can	can	AUX
fumecheng-7904	188	100	be	be	AUX
fumecheng-7904	188	101	noticed	notice	VERB
fumecheng-7904	188	102	that	that	SCONJ
fumecheng-7904	188	103	although	although	SCONJ
fumecheng-7904	188	104	ra	ra	PROPN
fumecheng-7904	188	105	has	have	VERB
fumecheng-7904	188	106	the	the	DET
fumecheng-7904	188	107	lowest	low	ADJ
fumecheng-7904	188	108	r	r	NOUN
fumecheng-7904	188	109	value	value	NOUN
fumecheng-7904	188	110	,	,	PUNCT
fumecheng-7904	188	111	its	its	PRON
fumecheng-7904	188	112	corresponding	correspond	VERB
fumecheng-7904	188	113	mape	mape	NOUN
fumecheng-7904	188	114	score	score	NOUN
fumecheng-7904	188	115	is	be	AUX
fumecheng-7904	188	116	the	the	DET
fumecheng-7904	188	117	best	good	ADJ
fumecheng-7904	188	118	.	.	PUNCT
fumecheng-7904	189	1	for	for	ADP
fumecheng-7904	189	2	ra	ra	PROPN
fumecheng-7904	189	3	,	,	PUNCT
fumecheng-7904	189	4	the	the	DET
fumecheng-7904	189	5	model	model	NOUN
fumecheng-7904	189	6	has	have	AUX
fumecheng-7904	189	7	overestimated	overestimate	VERB
fumecheng-7904	189	8	and	and	CCONJ
fumecheng-7904	189	9	underestimated	underestimate	VERB
fumecheng-7904	189	10	the	the	DET
fumecheng-7904	189	11	true	true	ADJ
fumecheng-7904	189	12	ra	ra	PROPN
fumecheng-7904	189	13	value	value	NOUN
fumecheng-7904	189	14	more	more	ADV
fumecheng-7904	189	15	frequently	frequently	ADV
fumecheng-7904	189	16	than	than	ADP
fumecheng-7904	189	17	the	the	DET
fumecheng-7904	189	18	other	other	ADJ
fumecheng-7904	189	19	responses	response	NOUN
fumecheng-7904	189	20	.	.	PUNCT
fumecheng-7904	190	1	but	but	CCONJ
fumecheng-7904	190	2	,	,	PUNCT
fumecheng-7904	190	3	even	even	ADV
fumecheng-7904	190	4	after	after	ADP
fumecheng-7904	190	5	this	this	PRON
fumecheng-7904	190	6	,	,	PUNCT
fumecheng-7904	190	7	the	the	DET
fumecheng-7904	190	8	relative	relative	ADJ
fumecheng-7904	190	9	deviation	deviation	NOUN
fumecheng-7904	190	10	is	be	AUX
fumecheng-7904	190	11	the	the	DET
fumecheng-7904	190	12	lowest	low	ADJ
fumecheng-7904	190	13	.	.	PUNCT
fumecheng-7904	191	1	it	it	PRON
fumecheng-7904	191	2	can	can	AUX
fumecheng-7904	191	3	be	be	AUX
fumecheng-7904	191	4	noticed	notice	VERB
fumecheng-7904	191	5	from	from	ADP
fumecheng-7904	191	6	both	both	DET
fumecheng-7904	191	7	these	these	DET
fumecheng-7904	191	8	tables	table	NOUN
fumecheng-7904	191	9	that	that	PRON
fumecheng-7904	191	10	rf	rf	ADJ
fumecheng-7904	191	11	regressor	regressor	NOUN
fumecheng-7904	191	12	performs	perform	VERB
fumecheng-7904	191	13	satisfactorily	satisfactorily	ADV
fumecheng-7904	191	14	while	while	SCONJ
fumecheng-7904	191	15	foreseeing	foresee	VERB
fumecheng-7904	191	16	the	the	DET
fumecheng-7904	191	17	values	value	NOUN
fumecheng-7904	191	18	of	of	ADP
fumecheng-7904	191	19	all	all	DET
fumecheng-7904	191	20	the	the	DET
fumecheng-7904	191	21	three	three	NUM
fumecheng-7904	191	22	responses	response	NOUN
fumecheng-7904	191	23	of	of	ADP
fumecheng-7904	191	24	the	the	DET
fumecheng-7904	191	25	cnc	cnc	PROPN
fumecheng-7904	191	26	face	face	NOUN
fumecheng-7904	191	27	milling	mill	VERB
fumecheng-7904	191	28	operation	operation	NOUN
fumecheng-7904	191	29	under	under	ADP
fumecheng-7904	191	30	consideration	consideration	NOUN
fumecheng-7904	191	31	.	.	PUNCT
fumecheng-7904	192	1	from	from	ADP
fumecheng-7904	192	2	the	the	DET
fumecheng-7904	192	3	results	result	NOUN
fumecheng-7904	192	4	of	of	ADP
fumecheng-7904	192	5	the	the	DET
fumecheng-7904	192	6	test	test	NOUN
fumecheng-7904	192	7	dataset	dataset	NOUN
fumecheng-7904	192	8	,	,	PUNCT
fumecheng-7904	192	9	it	it	PRON
fumecheng-7904	192	10	can	can	AUX
fumecheng-7904	192	11	be	be	AUX
fumecheng-7904	192	12	noticed	notice	VERB
fumecheng-7904	192	13	that	that	SCONJ
fumecheng-7904	192	14	the	the	DET
fumecheng-7904	192	15	model	model	NOUN
fumecheng-7904	192	16	has	have	AUX
fumecheng-7904	192	17	not	not	PART
fumecheng-7904	192	18	overfitted	overfitte	VERB
fumecheng-7904	192	19	the	the	DET
fumecheng-7904	192	20	data	datum	NOUN
fumecheng-7904	192	21	.	.	PUNCT
fumecheng-7904	193	1	otherwise	otherwise	ADV
fumecheng-7904	193	2	,	,	PUNCT
fumecheng-7904	193	3	the	the	DET
fumecheng-7904	193	4	outcome	outcome	NOUN
fumecheng-7904	193	5	of	of	ADP
fumecheng-7904	193	6	the	the	DET
fumecheng-7904	193	7	test	test	NOUN
fumecheng-7904	193	8	dataset	dataset	NOUN
fumecheng-7904	193	9	would	would	AUX
fumecheng-7904	193	10	have	have	AUX
fumecheng-7904	193	11	been	be	AUX
fumecheng-7904	193	12	far	far	ADV
fumecheng-7904	193	13	worse	bad	ADJ
fumecheng-7904	193	14	even	even	ADV
fumecheng-7904	193	15	after	after	ADP
fumecheng-7904	193	16	getting	get	VERB
fumecheng-7904	193	17	a	a	DET
fumecheng-7904	193	18	good	good	ADJ
fumecheng-7904	193	19	result	result	NOUN
fumecheng-7904	193	20	from	from	ADP
fumecheng-7904	193	21	the	the	DET
fumecheng-7904	193	22	training	training	NOUN
fumecheng-7904	193	23	dataset	dataset	NOUN
fumecheng-7904	193	24	.	.	PUNCT
fumecheng-7904	194	1	non	non	ADJ
fumecheng-7904	194	2	-	-	ADJ
fumecheng-7904	194	3	parametric	parametric	ADJ
fumecheng-7904	194	4	machine	machine	NOUN
fumecheng-7904	194	5	learning	learning	NOUN
fumecheng-7904	194	6	techniques	technique	NOUN
fumecheng-7904	194	7	do	do	AUX
fumecheng-7904	194	8	not	not	PART
fumecheng-7904	194	9	assume	assume	VERB
fumecheng-7904	194	10	anything	anything	PRON
fumecheng-7904	194	11	about	about	ADP
fumecheng-7904	194	12	the	the	DET
fumecheng-7904	194	13	dataset	dataset	NOUN
fumecheng-7904	194	14	,	,	PUNCT
fumecheng-7904	194	15	whereas	whereas	SCONJ
fumecheng-7904	194	16	,	,	PUNCT
fumecheng-7904	194	17	in	in	ADP
fumecheng-7904	194	18	parametric	parametric	ADJ
fumecheng-7904	194	19	techniques	technique	NOUN
fumecheng-7904	194	20	,	,	PUNCT
fumecheng-7904	194	21	some	some	DET
fumecheng-7904	194	22	assumptions	assumption	NOUN
fumecheng-7904	194	23	are	be	AUX
fumecheng-7904	194	24	made	make	VERB
fumecheng-7904	194	25	with	with	ADP
fumecheng-7904	194	26	respect	respect	NOUN
fumecheng-7904	194	27	to	to	ADP
fumecheng-7904	194	28	the	the	DET
fumecheng-7904	194	29	underlying	underlie	VERB
fumecheng-7904	194	30	distribution	distribution	NOUN
fumecheng-7904	194	31	of	of	ADP
fumecheng-7904	194	32	the	the	DET
fumecheng-7904	194	33	dataset	dataset	NOUN
fumecheng-7904	194	34	as	as	ADV
fumecheng-7904	194	35	well	well	ADV
fumecheng-7904	194	36	as	as	ADP
fumecheng-7904	194	37	the	the	DET
fumecheng-7904	194	38	relationship	relationship	NOUN
fumecheng-7904	194	39	between	between	ADP
fumecheng-7904	194	40	the	the	DET
fumecheng-7904	194	41	dependent	dependent	ADJ
fumecheng-7904	194	42	and	and	CCONJ
fumecheng-7904	194	43	independent	independent	ADJ
fumecheng-7904	194	44	variables	variable	NOUN
fumecheng-7904	194	45	.	.	PUNCT
fumecheng-7904	195	1	thus	thus	ADV
fumecheng-7904	195	2	,	,	PUNCT
fumecheng-7904	195	3	modeling	modeling	NOUN
fumecheng-7904	195	4	of	of	ADP
fumecheng-7904	195	5	a	a	DET
fumecheng-7904	195	6	machining	machining	NOUN
fumecheng-7904	195	7	operation	operation	NOUN
fumecheng-7904	195	8	and	and	CCONJ
fumecheng-7904	195	9	prediction	prediction	NOUN
fumecheng-7904	195	10	of	of	ADP
fumecheng-7904	195	11	the	the	DET
fumecheng-7904	195	12	corresponding	corresponding	ADJ
fumecheng-7904	195	13	responses	response	NOUN
fumecheng-7904	195	14	using	use	VERB
fumecheng-7904	195	15	a	a	DET
fumecheng-7904	195	16	non	non	ADJ
fumecheng-7904	195	17	-	-	ADJ
fumecheng-7904	195	18	parametric	parametric	ADJ
fumecheng-7904	195	19	machine	machine	NOUN
fumecheng-7904	195	20	learning	learning	NOUN
fumecheng-7904	195	21	technique	technique	NOUN
fumecheng-7904	195	22	with	with	ADP
fumecheng-7904	195	23	a	a	DET
fumecheng-7904	195	24	small	small	ADJ
fumecheng-7904	195	25	dataset	dataset	NOUN
fumecheng-7904	195	26	is	be	AUX
fumecheng-7904	195	27	quite	quite	ADV
fumecheng-7904	195	28	challenging	challenging	ADJ
fumecheng-7904	195	29	,	,	PUNCT
fumecheng-7904	195	30	but	but	CCONJ
fumecheng-7904	195	31	the	the	DET
fumecheng-7904	195	32	proposed	propose	VERB
fumecheng-7904	195	33	rf	rf	NOUN
fumecheng-7904	195	34	regressor	regressor	NOUN
fumecheng-7904	195	35	yields	yield	VERB
fumecheng-7904	195	36	satisfactory	satisfactory	ADJ
fumecheng-7904	195	37	results	result	NOUN
fumecheng-7904	195	38	even	even	ADV
fumecheng-7904	195	39	with	with	ADP
fumecheng-7904	195	40	a	a	DET
fumecheng-7904	195	41	small	small	ADJ
fumecheng-7904	195	42	experimental	experimental	ADJ
fumecheng-7904	195	43	dataset	dataset	NOUN
fumecheng-7904	195	44	for	for	ADP
fumecheng-7904	195	45	cnc	cnc	ADJ
fumecheng-7904	195	46	face	face	NOUN
fumecheng-7904	195	47	milling	mill	VERB
fumecheng-7904	195	48	operation	operation	NOUN
fumecheng-7904	195	49	.	.	PUNCT
fumecheng-7904	196	1	while	while	SCONJ
fumecheng-7904	196	2	predicting	predict	VERB
fumecheng-7904	196	3	the	the	DET
fumecheng-7904	196	4	corresponding	corresponding	ADJ
fumecheng-7904	196	5	response	response	NOUN
fumecheng-7904	196	6	values	value	NOUN
fumecheng-7904	196	7	,	,	PUNCT
fumecheng-7904	196	8	it	it	PRON
fumecheng-7904	196	9	also	also	ADV
fumecheng-7904	196	10	employs	employ	VERB
fumecheng-7904	196	11	minimum	minimum	ADJ
fumecheng-7904	196	12	number	number	NOUN
fumecheng-7904	196	13	of	of	ADP
fumecheng-7904	196	14	milling	mill	VERB
fumecheng-7904	196	15	parameters	parameter	NOUN
fumecheng-7904	196	16	as	as	SCONJ
fumecheng-7904	196	17	the	the	DET
fumecheng-7904	196	18	predictor	predictor	NOUN
fumecheng-7904	196	19	variables	variable	VERB
fumecheng-7904	196	20	in	in	ADP
fumecheng-7904	196	21	the	the	DET
fumecheng-7904	196	22	decision	decision	NOUN
fumecheng-7904	196	23	trees	tree	NOUN
fumecheng-7904	196	24	.	.	PUNCT
fumecheng-7904	197	1	6	6	NUM
fumecheng-7904	197	2	.	.	X
fumecheng-7904	197	3	conclusions	conclusion	NOUN
fumecheng-7904	197	4	over	over	ADP
fumecheng-7904	197	5	the	the	DET
fumecheng-7904	197	6	years	year	NOUN
fumecheng-7904	197	7	,	,	PUNCT
fumecheng-7904	197	8	application	application	NOUN
fumecheng-7904	197	9	of	of	ADP
fumecheng-7904	197	10	different	different	ADJ
fumecheng-7904	197	11	machine	machine	NOUN
fumecheng-7904	197	12	learning	learn	VERB
fumecheng-7904	197	13	techniques	technique	NOUN
fumecheng-7904	197	14	in	in	ADP
fumecheng-7904	197	15	the	the	DET
fumecheng-7904	197	16	manufacturing	manufacturing	NOUN
fumecheng-7904	197	17	domain	domain	NOUN
fumecheng-7904	197	18	has	have	AUX
fumecheng-7904	197	19	increased	increase	VERB
fumecheng-7904	197	20	exponentially	exponentially	ADV
fumecheng-7904	197	21	.	.	PUNCT
fumecheng-7904	198	1	it	it	PRON
fumecheng-7904	198	2	has	have	AUX
fumecheng-7904	198	3	now	now	ADV
fumecheng-7904	198	4	become	become	VERB
fumecheng-7904	198	5	a	a	DET
fumecheng-7904	198	6	challenging	challenging	ADJ
fumecheng-7904	198	7	task	task	NOUN
fumecheng-7904	198	8	to	to	PART
fumecheng-7904	198	9	choose	choose	VERB
fumecheng-7904	198	10	an	an	DET
fumecheng-7904	198	11	appropriate	appropriate	ADJ
fumecheng-7904	198	12	machine	machine	NOUN
fumecheng-7904	198	13	learning	learning	NOUN
fumecheng-7904	198	14	technique	technique	NOUN
fumecheng-7904	198	15	to	to	PART
fumecheng-7904	198	16	depict	depict	VERB
fumecheng-7904	198	17	the	the	DET
fumecheng-7904	198	18	relationship	relationship	NOUN
fumecheng-7904	198	19	between	between	ADP
fumecheng-7904	198	20	the	the	DET
fumecheng-7904	198	21	dependent	dependent	ADJ
fumecheng-7904	198	22	and	and	CCONJ
fumecheng-7904	198	23	independent	independent	ADJ
fumecheng-7904	198	24	variables	variable	NOUN
fumecheng-7904	198	25	of	of	ADP
fumecheng-7904	198	26	any	any	DET
fumecheng-7904	198	27	machining	machining	NOUN
fumecheng-7904	198	28	process	process	NOUN
fumecheng-7904	198	29	.	.	PUNCT
fumecheng-7904	199	1	in	in	ADP
fumecheng-7904	199	2	this	this	DET
fumecheng-7904	199	3	paper	paper	NOUN
fumecheng-7904	199	4	,	,	PUNCT
fumecheng-7904	199	5	an	an	DET
fumecheng-7904	199	6	attempt	attempt	NOUN
fumecheng-7904	199	7	is	be	AUX
fumecheng-7904	199	8	put	put	VERB
fumecheng-7904	199	9	forward	forward	ADV
fumecheng-7904	199	10	to	to	PART
fumecheng-7904	199	11	employ	employ	VERB
fumecheng-7904	199	12	the	the	DET
fumecheng-7904	199	13	rf	rf	NOUN
fumecheng-7904	199	14	regressor	regressor	NOUN
fumecheng-7904	199	15	as	as	ADP
fumecheng-7904	199	16	an	an	DET
fumecheng-7904	199	17	effective	effective	ADJ
fumecheng-7904	199	18	prediction	prediction	NOUN
fumecheng-7904	199	19	model	model	NOUN
fumecheng-7904	199	20	based	base	VERB
fumecheng-7904	199	21	on	on	ADP
fumecheng-7904	199	22	a	a	DET
fumecheng-7904	199	23	small	small	ADJ
fumecheng-7904	199	24	experimental	experimental	ADJ
fumecheng-7904	199	25	dataset	dataset	NOUN
fumecheng-7904	199	26	of	of	ADP
fumecheng-7904	199	27	cnc	cnc	PROPN
fumecheng-7904	199	28	face	face	NOUN
fumecheng-7904	199	29	milling	mill	VERB
fumecheng-7904	199	30	operation	operation	NOUN
fumecheng-7904	199	31	.	.	PUNCT
fumecheng-7904	200	1	it	it	PRON
fumecheng-7904	200	2	has	have	VERB
fumecheng-7904	200	3	several	several	ADJ
fumecheng-7904	200	4	advantageous	advantageous	ADJ
fumecheng-7904	200	5	features	feature	NOUN
fumecheng-7904	200	6	as	as	ADP
fumecheng-7904	200	7	compared	compare	VERB
fumecheng-7904	200	8	to	to	ADP
fumecheng-7904	200	9	other	other	ADJ
fumecheng-7904	200	10	statistical	statistical	ADJ
fumecheng-7904	200	11	and	and	CCONJ
fumecheng-7904	200	12	machine	machine	NOUN
fumecheng-7904	200	13	learning	learning	NOUN
fumecheng-7904	200	14	models	model	NOUN
fumecheng-7904	200	15	.	.	PUNCT
fumecheng-7904	201	1	its	its	PRON
fumecheng-7904	201	2	main	main	ADJ
fumecheng-7904	201	3	advantage	advantage	NOUN
fumecheng-7904	201	4	is	be	AUX
fumecheng-7904	201	5	that	that	SCONJ
fumecheng-7904	201	6	it	it	PRON
fumecheng-7904	201	7	does	do	AUX
fumecheng-7904	201	8	not	not	PART
fumecheng-7904	201	9	consider	consider	VERB
fumecheng-7904	201	10	the	the	DET
fumecheng-7904	201	11	inherent	inherent	ADJ
fumecheng-7904	201	12	distribution	distribution	NOUN
fumecheng-7904	201	13	of	of	ADP
fumecheng-7904	201	14	the	the	DET
fumecheng-7904	201	15	input	input	NOUN
fumecheng-7904	201	16	data	datum	NOUN
fumecheng-7904	201	17	or	or	CCONJ
fumecheng-7904	201	18	existent	existent	ADJ
fumecheng-7904	201	19	relationship	relationship	NOUN
fumecheng-7904	201	20	between	between	ADP
fumecheng-7904	201	21	the	the	DET
fumecheng-7904	201	22	dependent	dependent	ADJ
fumecheng-7904	201	23	and	and	CCONJ
fumecheng-7904	201	24	independent	independent	ADJ
fumecheng-7904	201	25	variables	variable	NOUN
fumecheng-7904	201	26	.	.	PUNCT
fumecheng-7904	202	1	number	number	NOUN
fumecheng-7904	202	2	of	of	ADP
fumecheng-7904	202	3	optimal	optimal	ADJ
fumecheng-7904	202	4	decision	decision	NOUN
fumecheng-7904	202	5	trees	tree	NOUN
fumecheng-7904	202	6	and	and	CCONJ
fumecheng-7904	202	7	number	number	NOUN
fumecheng-7904	202	8	of	of	ADP
fumecheng-7904	202	9	input	input	NOUN
fumecheng-7904	202	10	variables	variable	NOUN
fumecheng-7904	202	11	per	per	ADP
fumecheng-7904	202	12	split	split	NOUN
fumecheng-7904	202	13	are	be	AUX
fumecheng-7904	202	14	enough	enough	ADJ
fumecheng-7904	202	15	to	to	PART
fumecheng-7904	202	16	develop	develop	VERB
fumecheng-7904	202	17	this	this	DET
fumecheng-7904	202	18	prediction	prediction	NOUN
fumecheng-7904	202	19	tool	tool	NOUN
fumecheng-7904	202	20	.	.	PUNCT
fumecheng-7904	203	1	its	its	PRON
fumecheng-7904	203	2	robustness	robustness	NOUN
fumecheng-7904	203	3	makes	make	VERB
fumecheng-7904	203	4	it	it	PRON
fumecheng-7904	203	5	suitable	suitable	ADJ
fumecheng-7904	203	6	for	for	ADP
fumecheng-7904	203	7	generalizing	generalize	VERB
fumecheng-7904	203	8	different	different	ADJ
fumecheng-7904	203	9	machining	machining	NOUN
fumecheng-7904	203	10	-	-	PUNCT
fumecheng-7904	203	11	related	relate	VERB
fumecheng-7904	203	12	applications	application	NOUN
fumecheng-7904	203	13	.	.	PUNCT
fumecheng-7904	204	1	machining	machining	NOUN
fumecheng-7904	204	2	conditions	condition	NOUN
fumecheng-7904	204	3	with	with	ADP
fumecheng-7904	204	4	binary	binary	NOUN
fumecheng-7904	204	5	or	or	CCONJ
fumecheng-7904	204	6	more	more	ADJ
fumecheng-7904	204	7	than	than	ADP
fumecheng-7904	204	8	two	two	NUM
fumecheng-7904	204	9	categorical	categorical	ADJ
fumecheng-7904	204	10	input	input	NOUN
fumecheng-7904	204	11	variables	variable	NOUN
fumecheng-7904	204	12	can	can	AUX
fumecheng-7904	204	13	be	be	AUX
fumecheng-7904	204	14	accommodated	accommodate	VERB
fumecheng-7904	204	15	in	in	ADP
fumecheng-7904	204	16	this	this	DET
fumecheng-7904	204	17	tool	tool	NOUN
fumecheng-7904	204	18	without	without	ADP
fumecheng-7904	204	19	much	much	ADJ
fumecheng-7904	204	20	effort	effort	NOUN
fumecheng-7904	204	21	.	.	PUNCT
fumecheng-7904	205	1	but	but	CCONJ
fumecheng-7904	205	2	,	,	PUNCT
fumecheng-7904	205	3	it	it	PRON
fumecheng-7904	205	4	has	have	VERB
fumecheng-7904	205	5	also	also	ADV
fumecheng-7904	205	6	some	some	DET
fumecheng-7904	205	7	limitations	limitation	NOUN
fumecheng-7904	205	8	.	.	PUNCT
fumecheng-7904	206	1	it	it	PRON
fumecheng-7904	206	2	fails	fail	VERB
fumecheng-7904	206	3	in	in	ADP
fumecheng-7904	206	4	the	the	DET
fumecheng-7904	206	5	cases	case	NOUN
fumecheng-7904	206	6	when	when	SCONJ
fumecheng-7904	206	7	the	the	DET
fumecheng-7904	206	8	data	data	NOUN
fumecheng-7904	206	9	is	be	AUX
fumecheng-7904	206	10	outside	outside	ADP
fumecheng-7904	206	11	the	the	DET
fumecheng-7904	206	12	‘	'	PUNCT
fumecheng-7904	206	13	scope	scope	NOUN
fumecheng-7904	206	14	’	'	PUNCT
fumecheng-7904	206	15	of	of	ADP
fumecheng-7904	206	16	the	the	DET
fumecheng-7904	206	17	model	model	NOUN
fumecheng-7904	206	18	.	.	PUNCT
fumecheng-7904	207	1	suppose	suppose	VERB
fumecheng-7904	207	2	that	that	SCONJ
fumecheng-7904	207	3	there	there	PRON
fumecheng-7904	207	4	is	be	VERB
fumecheng-7904	207	5	a	a	DET
fumecheng-7904	207	6	training	training	NOUN
fumecheng-7904	207	7	space	space	NOUN
fumecheng-7904	207	8	where	where	SCONJ
fumecheng-7904	207	9	each	each	DET
fumecheng-7904	207	10	input	input	NOUN
fumecheng-7904	207	11	parameter	parameter	NOUN
fumecheng-7904	207	12	has	have	VERB
fumecheng-7904	207	13	a	a	DET
fumecheng-7904	207	14	particular	particular	ADJ
fumecheng-7904	207	15	range	range	NOUN
fumecheng-7904	207	16	.	.	PUNCT
fumecheng-7904	208	1	if	if	SCONJ
fumecheng-7904	208	2	the	the	DET
fumecheng-7904	208	3	test	test	NOUN
fumecheng-7904	208	4	data	datum	NOUN
fumecheng-7904	208	5	has	have	VERB
fumecheng-7904	208	6	some	some	DET
fumecheng-7904	208	7	values	value	NOUN
fumecheng-7904	208	8	totally	totally	ADV
fumecheng-7904	208	9	outside	outside	ADP
fumecheng-7904	208	10	the	the	DET
fumecheng-7904	208	11	range	range	NOUN
fumecheng-7904	208	12	,	,	PUNCT
fumecheng-7904	208	13	the	the	DET
fumecheng-7904	208	14	model	model	NOUN
fumecheng-7904	208	15	would	would	AUX
fumecheng-7904	208	16	fail	fail	VERB
fumecheng-7904	208	17	.	.	PUNCT
fumecheng-7904	209	1	this	this	DET
fumecheng-7904	209	2	problem	problem	NOUN
fumecheng-7904	209	3	would	would	AUX
fumecheng-7904	209	4	not	not	PART
fumecheng-7904	209	5	occur	occur	VERB
fumecheng-7904	209	6	for	for	ADP
fumecheng-7904	209	7	linear	linear	ADJ
fumecheng-7904	209	8	regression	regression	NOUN
fumecheng-7904	209	9	.	.	PUNCT
fumecheng-7904	210	1	the	the	DET
fumecheng-7904	210	2	rf	rf	NOUN
fumecheng-7904	210	3	regressor	regressor	NOUN
fumecheng-7904	210	4	would	would	AUX
fumecheng-7904	210	5	also	also	ADV
fumecheng-7904	210	6	perform	perform	VERB
fumecheng-7904	210	7	poorly	poorly	ADV
fumecheng-7904	210	8	in	in	ADP
fumecheng-7904	210	9	the	the	DET
fumecheng-7904	210	10	case	case	NOUN
fumecheng-7904	210	11	of	of	ADP
fumecheng-7904	210	12	sparse	sparse	ADJ
fumecheng-7904	210	13	data	datum	NOUN
fumecheng-7904	210	14	where	where	SCONJ
fumecheng-7904	210	15	certain	certain	ADJ
fumecheng-7904	210	16	expected	expect	VERB
fumecheng-7904	210	17	values	value	NOUN
fumecheng-7904	210	18	do	do	AUX
fumecheng-7904	210	19	not	not	PART
fumecheng-7904	210	20	exist	exist	VERB
fumecheng-7904	210	21	at	at	ADV
fumecheng-7904	210	22	all	all	ADV
fumecheng-7904	210	23	.	.	PUNCT
fumecheng-7904	211	1	as	as	ADP
fumecheng-7904	211	2	a	a	DET
fumecheng-7904	211	3	future	future	ADJ
fumecheng-7904	211	4	scope	scope	NOUN
fumecheng-7904	211	5	,	,	PUNCT
fumecheng-7904	211	6	the	the	DET
fumecheng-7904	211	7	prediction	prediction	NOUN
fumecheng-7904	211	8	performance	performance	NOUN
fumecheng-7904	211	9	of	of	ADP
fumecheng-7904	211	10	the	the	DET
fumecheng-7904	211	11	rf	rf	NOUN
fumecheng-7904	211	12	regressor	regressor	NOUN
fumecheng-7904	211	13	can	can	AUX
fumecheng-7904	211	14	be	be	AUX
fumecheng-7904	211	15	explored	explore	VERB
fumecheng-7904	211	16	using	use	VERB
fumecheng-7904	211	17	large	large	ADJ
fumecheng-7904	211	18	datasets	dataset	NOUN
fumecheng-7904	211	19	,	,	PUNCT
fumecheng-7904	211	20	although	although	SCONJ
fumecheng-7904	211	21	it	it	PRON
fumecheng-7904	211	22	may	may	AUX
fumecheng-7904	211	23	lead	lead	VERB
fumecheng-7904	211	24	to	to	ADP
fumecheng-7904	211	25	overfitting	overfitting	NOUN
fumecheng-7904	211	26	of	of	ADP
fumecheng-7904	211	27	data	datum	NOUN
fumecheng-7904	211	28	.	.	PUNCT
fumecheng-7904	212	1	its	its	PRON
fumecheng-7904	212	2	application	application	NOUN
fumecheng-7904	212	3	potentiality	potentiality	NOUN
fumecheng-7904	212	4	can	can	AUX
fumecheng-7904	212	5	also	also	ADV
fumecheng-7904	212	6	be	be	AUX
fumecheng-7904	212	7	validated	validate	VERB
fumecheng-7904	212	8	based	base	VERB
fumecheng-7904	212	9	on	on	ADP
fumecheng-7904	212	10	experimental	experimental	ADJ
fumecheng-7904	212	11	datasets	dataset	NOUN
fumecheng-7904	212	12	from	from	ADP
fumecheng-7904	212	13	other	other	ADJ
fumecheng-7904	212	14	metal	metal	NOUN
fumecheng-7904	212	15	removal	removal	NOUN
fumecheng-7904	212	16	processes	process	NOUN
fumecheng-7904	212	17	,	,	PUNCT
fumecheng-7904	212	18	like	like	ADP
fumecheng-7904	212	19	cnc	cnc	NOUN
fumecheng-7904	212	20	turning	turning	NOUN
fumecheng-7904	212	21	,	,	PUNCT
fumecheng-7904	212	22	cnc	cnc	PROPN
fumecheng-7904	212	23	end	end	NOUN
fumecheng-7904	212	24	milling	milling	NOUN
fumecheng-7904	212	25	,	,	PUNCT
fumecheng-7904	212	26	and	and	CCONJ
fumecheng-7904	212	27	especially	especially	ADV
fumecheng-7904	212	28	non	non	ADJ
fumecheng-7904	212	29	-	-	ADJ
fumecheng-7904	212	30	traditional	traditional	ADJ
fumecheng-7904	212	31	machining	machining	NOUN
fumecheng-7904	212	32	processes	process	NOUN
fumecheng-7904	212	33	.	.	PUNCT
fumecheng-7904	213	1	prediction	prediction	NOUN
fumecheng-7904	213	2	of	of	ADP
fumecheng-7904	213	3	responses	response	NOUN
fumecheng-7904	213	4	in	in	ADP
fumecheng-7904	213	5	a	a	DET
fumecheng-7904	213	6	cnc	cnc	PROPN
fumecheng-7904	213	7	milling	milling	NOUN
fumecheng-7904	213	8	operation	operation	NOUN
fumecheng-7904	213	9	using	use	VERB
fumecheng-7904	213	10	random	random	ADJ
fumecheng-7904	213	11	forest	forest	NOUN
fumecheng-7904	213	12	regressor	regressor	NOUN
fumecheng-7904	213	13	699	699	NUM
fumecheng-7904	213	14	references	reference	NOUN
fumecheng-7904	213	15	1	1	NUM
fumecheng-7904	213	16	.	.	PUNCT
fumecheng-7904	214	1	gale	gale	PROPN
fumecheng-7904	214	2	,	,	PUNCT
fumecheng-7904	214	3	w.f	w.f	PROPN
fumecheng-7904	214	4	.	.	PROPN
fumecheng-7904	214	5	,	,	PUNCT
fumecheng-7904	214	6	totemeier	totemeier	NOUN
fumecheng-7904	214	7	,	,	PUNCT
fumecheng-7904	214	8	t.c	t.c	PROPN
fumecheng-7904	214	9	.	.	PROPN
fumecheng-7904	214	10	2004	2004	NUM
fumecheng-7904	214	11	,	,	PUNCT
fumecheng-7904	214	12	metal	metal	NOUN
fumecheng-7904	214	13	cutting	cutting	NOUN
fumecheng-7904	214	14	and	and	CCONJ
fumecheng-7904	214	15	forming	form	VERB
fumecheng-7904	214	16	.	.	PUNCT
fumecheng-7904	215	1	smithells	smithell	VERB
fumecheng-7904	215	2	metals	metal	NOUN
fumecheng-7904	215	3	reference	reference	NOUN
fumecheng-7904	215	4	book	book	NOUN
fumecheng-7904	215	5	.	.	PUNCT
fumecheng-7904	216	1	butterworthheinemann	butterworthheinemann	PROPN
fumecheng-7904	216	2	,	,	PUNCT
fumecheng-7904	216	3	usa	usa	PROPN
fumecheng-7904	216	4	.	.	PROPN
fumecheng-7904	216	5	2	2	NUM
fumecheng-7904	216	6	.	.	X
fumecheng-7904	216	7	wang	wang	PROPN
fumecheng-7904	216	8	,	,	PUNCT
fumecheng-7904	216	9	y.c	y.c	PROPN
fumecheng-7904	216	10	.	.	PROPN
fumecheng-7904	216	11	,	,	PUNCT
fumecheng-7904	216	12	kim	kim	PROPN
fumecheng-7904	216	13	,	,	PUNCT
fumecheng-7904	216	14	d.w	d.w	PROPN
fumecheng-7904	216	15	.	.	PROPN
fumecheng-7904	216	16	,	,	PUNCT
fumecheng-7904	216	17	katayama	katayama	PROPN
fumecheng-7904	216	18	,	,	PUNCT
fumecheng-7904	216	19	h.	h.	PROPN
fumecheng-7904	216	20	,	,	PUNCT
fumecheng-7904	216	21	hsueh	hsueh	PROPN
fumecheng-7904	216	22	,	,	PUNCT
fumecheng-7904	216	23	w.c	w.c	PROPN
fumecheng-7904	216	24	.	.	PROPN
fumecheng-7904	216	25	,	,	PUNCT
fumecheng-7904	216	26	2018	2018	NUM
fumecheng-7904	216	27	,	,	PUNCT
fumecheng-7904	216	28	optimization	optimization	NOUN
fumecheng-7904	216	29	of	of	ADP
fumecheng-7904	216	30	machining	machine	VERB
fumecheng-7904	216	31	economics	economic	NOUN
fumecheng-7904	216	32	and	and	CCONJ
fumecheng-7904	216	33	energy	energy	NOUN
fumecheng-7904	216	34	consumption	consumption	NOUN
fumecheng-7904	216	35	in	in	ADP
fumecheng-7904	216	36	face	face	NOUN
fumecheng-7904	216	37	milling	mill	VERB
fumecheng-7904	216	38	operations	operation	NOUN
fumecheng-7904	216	39	,	,	PUNCT
fumecheng-7904	216	40	international	international	ADJ
fumecheng-7904	216	41	journal	journal	NOUN
fumecheng-7904	216	42	of	of	ADP
fumecheng-7904	216	43	advanced	advanced	ADJ
fumecheng-7904	216	44	manufacturing	manufacturing	NOUN
fumecheng-7904	216	45	technology	technology	NOUN
fumecheng-7904	216	46	,	,	PUNCT
fumecheng-7904	216	47	99(912	99(912	NOUN
fumecheng-7904	216	48	)	)	PUNCT
fumecheng-7904	216	49	,	,	PUNCT
fumecheng-7904	217	1	pp	pp	ADP
fumecheng-7904	217	2	.	.	PUNCT
fumecheng-7904	218	1	2093	2093	NUM
fumecheng-7904	218	2	-	-	SYM
fumecheng-7904	218	3	2100	2100	NUM
fumecheng-7904	218	4	.	.	PUNCT
fumecheng-7904	219	1	3	3	X
fumecheng-7904	219	2	.	.	X
fumecheng-7904	219	3	han	han	PROPN
fumecheng-7904	219	4	,	,	PUNCT
fumecheng-7904	219	5	j.h	j.h	PROPN
fumecheng-7904	219	6	.	.	PROPN
fumecheng-7904	219	7	,	,	PUNCT
fumecheng-7904	219	8	chi	chi	PROPN
fumecheng-7904	219	9	,	,	PUNCT
fumecheng-7904	219	10	s.y	s.y	PROPN
fumecheng-7904	219	11	.	.	PROPN
fumecheng-7904	219	12	,	,	PUNCT
fumecheng-7904	219	13	2016	2016	NUM
fumecheng-7904	219	14	,	,	PUNCT
fumecheng-7904	219	15	consideration	consideration	NOUN
fumecheng-7904	219	16	of	of	ADP
fumecheng-7904	219	17	manufacturing	manufacture	VERB
fumecheng-7904	219	18	data	datum	NOUN
fumecheng-7904	219	19	to	to	PART
fumecheng-7904	219	20	apply	apply	VERB
fumecheng-7904	219	21	machine	machine	NOUN
fumecheng-7904	219	22	learning	learning	NOUN
fumecheng-7904	219	23	methods	method	NOUN
fumecheng-7904	219	24	for	for	ADP
fumecheng-7904	219	25	predictive	predictive	ADJ
fumecheng-7904	219	26	manufacturing	manufacturing	NOUN
fumecheng-7904	219	27	,	,	PUNCT
fumecheng-7904	219	28	in	in	ADP
fumecheng-7904	219	29	:	:	PUNCT
fumecheng-7904	219	30	proc	proc	NOUN
fumecheng-7904	219	31	.	.	PUNCT
fumecheng-7904	220	1	of	of	ADP
fumecheng-7904	220	2	8th	8th	ADJ
fumecheng-7904	220	3	international	international	ADJ
fumecheng-7904	220	4	conference	conference	NOUN
fumecheng-7904	220	5	on	on	ADP
fumecheng-7904	220	6	ubiquitous	ubiquitous	ADJ
fumecheng-7904	220	7	and	and	CCONJ
fumecheng-7904	220	8	future	future	ADJ
fumecheng-7904	220	9	networks	network	NOUN
fumecheng-7904	220	10	,	,	PUNCT
fumecheng-7904	220	11	austria	austria	PROPN
fumecheng-7904	220	12	,	,	PUNCT
fumecheng-7904	220	13	pp	pp	ADJ
fumecheng-7904	220	14	.	.	PUNCT
fumecheng-7904	221	1	109	109	NUM
fumecheng-7904	221	2	-	-	SYM
fumecheng-7904	221	3	113	113	NUM
fumecheng-7904	221	4	.	.	PUNCT
fumecheng-7904	222	1	4	4	NUM
fumecheng-7904	222	2	.	.	X
fumecheng-7904	222	3	lee	lee	PROPN
fumecheng-7904	222	4	,	,	PUNCT
fumecheng-7904	222	5	j.	j.	PROPN
fumecheng-7904	222	6	,	,	PUNCT
fumecheng-7904	222	7	lapira	lapira	PROPN
fumecheng-7904	222	8	,	,	PUNCT
fumecheng-7904	222	9	e.	e.	PROPN
fumecheng-7904	222	10	,	,	PUNCT
fumecheng-7904	222	11	bagheri	bagheri	PROPN
fumecheng-7904	222	12	,	,	PUNCT
fumecheng-7904	222	13	b.	b.	PROPN
fumecheng-7904	222	14	,	,	PUNCT
fumecheng-7904	222	15	kao	kao	PROPN
fumecheng-7904	222	16	,	,	PUNCT
fumecheng-7904	222	17	h.a	h.a	PROPN
fumecheng-7904	222	18	.	.	PROPN
fumecheng-7904	222	19	,	,	PUNCT
fumecheng-7904	222	20	2013	2013	NUM
fumecheng-7904	222	21	,	,	PUNCT
fumecheng-7904	222	22	recent	recent	ADJ
fumecheng-7904	222	23	advances	advance	NOUN
fumecheng-7904	222	24	and	and	CCONJ
fumecheng-7904	222	25	trends	trend	NOUN
fumecheng-7904	222	26	in	in	ADP
fumecheng-7904	222	27	predictive	predictive	ADJ
fumecheng-7904	222	28	manufacturing	manufacturing	NOUN
fumecheng-7904	222	29	systems	system	NOUN
fumecheng-7904	222	30	in	in	ADP
fumecheng-7904	222	31	big	big	ADJ
fumecheng-7904	222	32	data	datum	NOUN
fumecheng-7904	222	33	environment	environment	NOUN
fumecheng-7904	222	34	,	,	PUNCT
fumecheng-7904	222	35	manufacturing	manufacturing	NOUN
fumecheng-7904	222	36	letters	letter	NOUN
fumecheng-7904	222	37	,	,	PUNCT
fumecheng-7904	222	38	1(1	1(1	NUM
fumecheng-7904	222	39	)	)	PUNCT
fumecheng-7904	222	40	,	,	PUNCT
fumecheng-7904	222	41	pp	pp	ADJ
fumecheng-7904	222	42	.	.	PUNCT
fumecheng-7904	223	1	38	38	NUM
fumecheng-7904	223	2	-	-	SYM
fumecheng-7904	223	3	41	41	NUM
fumecheng-7904	223	4	.	.	PUNCT
fumecheng-7904	224	1	5	5	NUM
fumecheng-7904	224	2	.	.	X
fumecheng-7904	224	3	wuest	wu	ADJ
fumecheng-7904	224	4	,	,	PUNCT
fumecheng-7904	224	5	t.	t.	PROPN
fumecheng-7904	224	6	,	,	PUNCT
fumecheng-7904	224	7	weimer	weimer	PROPN
fumecheng-7904	224	8	,	,	PUNCT
fumecheng-7904	224	9	d.	d.	PROPN
fumecheng-7904	224	10	,	,	PUNCT
fumecheng-7904	224	11	irgens	irgens	PROPN
fumecheng-7904	224	12	,	,	PUNCT
fumecheng-7904	224	13	c.	c.	PROPN
fumecheng-7904	224	14	,	,	PUNCT
fumecheng-7904	224	15	thoben	thoben	PROPN
fumecheng-7904	224	16	,	,	PUNCT
fumecheng-7904	224	17	k.d	k.d	PROPN
fumecheng-7904	224	18	.	.	PROPN
fumecheng-7904	224	19	,	,	PUNCT
fumecheng-7904	224	20	2016	2016	NUM
fumecheng-7904	224	21	,	,	PUNCT
fumecheng-7904	224	22	machine	machine	NOUN
fumecheng-7904	224	23	learning	learning	NOUN
fumecheng-7904	224	24	in	in	ADP
fumecheng-7904	224	25	manufacturing	manufacturing	NOUN
fumecheng-7904	224	26	:	:	PUNCT
fumecheng-7904	224	27	advantages	advantage	NOUN
fumecheng-7904	224	28	,	,	PUNCT
fumecheng-7904	224	29	challenges	challenge	NOUN
fumecheng-7904	224	30	,	,	PUNCT
fumecheng-7904	224	31	and	and	CCONJ
fumecheng-7904	224	32	applications	application	NOUN
fumecheng-7904	224	33	,	,	PUNCT
fumecheng-7904	224	34	production	production	NOUN
fumecheng-7904	224	35	&	&	CCONJ
fumecheng-7904	224	36	manufacturing	manufacturing	NOUN
fumecheng-7904	224	37	research	research	NOUN
fumecheng-7904	224	38	,	,	PUNCT
fumecheng-7904	224	39	4(1	4(1	NOUN
fumecheng-7904	224	40	)	)	PUNCT
fumecheng-7904	224	41	,	,	PUNCT
fumecheng-7904	225	1	pp	pp	PROPN
fumecheng-7904	225	2	.	.	PUNCT
fumecheng-7904	226	1	23	23	NUM
fumecheng-7904	226	2	-	-	SYM
fumecheng-7904	226	3	45	45	NUM
fumecheng-7904	226	4	.	.	NOUN
fumecheng-7904	227	1	6	6	NUM
fumecheng-7904	227	2	.	.	X
fumecheng-7904	227	3	lo	lo	PROPN
fumecheng-7904	227	4	,	,	PUNCT
fumecheng-7904	227	5	s.	s.	PROPN
fumecheng-7904	227	6	,	,	PUNCT
fumecheng-7904	227	7	2003	2003	NUM
fumecheng-7904	227	8	,	,	PUNCT
fumecheng-7904	227	9	an	an	DET
fumecheng-7904	227	10	adaptive	adaptive	ADJ
fumecheng-7904	227	11	-	-	PUNCT
fumecheng-7904	227	12	network	network	NOUN
fumecheng-7904	227	13	based	base	VERB
fumecheng-7904	227	14	fuzzy	fuzzy	ADJ
fumecheng-7904	227	15	inference	inference	NOUN
fumecheng-7904	227	16	system	system	NOUN
fumecheng-7904	227	17	for	for	ADP
fumecheng-7904	227	18	prediction	prediction	NOUN
fumecheng-7904	227	19	of	of	ADP
fumecheng-7904	227	20	workpiece	workpiece	NOUN
fumecheng-7904	227	21	surface	surface	NOUN
fumecheng-7904	227	22	roughness	roughness	NOUN
fumecheng-7904	227	23	in	in	ADP
fumecheng-7904	227	24	end	end	NOUN
fumecheng-7904	227	25	milling	milling	NOUN
fumecheng-7904	227	26	,	,	PUNCT
fumecheng-7904	227	27	journal	journal	NOUN
fumecheng-7904	227	28	of	of	ADP
fumecheng-7904	227	29	materials	material	NOUN
fumecheng-7904	227	30	processing	processing	NOUN
fumecheng-7904	227	31	technology	technology	NOUN
fumecheng-7904	227	32	,	,	PUNCT
fumecheng-7904	227	33	142(3	142(3	NUM
fumecheng-7904	227	34	)	)	PUNCT
fumecheng-7904	227	35	,	,	PUNCT
fumecheng-7904	227	36	pp	pp	ADP
fumecheng-7904	227	37	.	.	PUNCT
fumecheng-7904	228	1	665	665	NUM
fumecheng-7904	228	2	-	-	SYM
fumecheng-7904	228	3	675	675	NUM
fumecheng-7904	228	4	.	.	PUNCT
fumecheng-7904	229	1	7	7	X
fumecheng-7904	229	2	.	.	X
fumecheng-7904	230	1	radhakrishnan	radhakrishnan	PROPN
fumecheng-7904	230	2	,	,	PUNCT
fumecheng-7904	230	3	t.	t.	PROPN
fumecheng-7904	230	4	,	,	PUNCT
fumecheng-7904	230	5	nandan	nandan	PROPN
fumecheng-7904	230	6	,	,	PUNCT
fumecheng-7904	230	7	u.	u.	PROPN
fumecheng-7904	230	8	,	,	PUNCT
fumecheng-7904	230	9	2005	2005	NUM
fumecheng-7904	230	10	,	,	PUNCT
fumecheng-7904	230	11	milling	mill	VERB
fumecheng-7904	230	12	force	force	NOUN
fumecheng-7904	230	13	prediction	prediction	NOUN
fumecheng-7904	230	14	using	use	VERB
fumecheng-7904	230	15	regression	regression	NOUN
fumecheng-7904	230	16	and	and	CCONJ
fumecheng-7904	230	17	neural	neural	ADJ
fumecheng-7904	230	18	networks	network	NOUN
fumecheng-7904	230	19	,	,	PUNCT
fumecheng-7904	230	20	journal	journal	NOUN
fumecheng-7904	230	21	of	of	ADP
fumecheng-7904	230	22	intelligent	intelligent	ADJ
fumecheng-7904	230	23	manufacturing	manufacturing	NOUN
fumecheng-7904	230	24	,	,	PUNCT
fumecheng-7904	230	25	16(1	16(1	NUM
fumecheng-7904	230	26	)	)	PUNCT
fumecheng-7904	230	27	,	,	PUNCT
fumecheng-7904	230	28	pp	pp	PROPN
fumecheng-7904	230	29	.	.	PUNCT
fumecheng-7904	231	1	93	93	NUM
fumecheng-7904	231	2	-	-	SYM
fumecheng-7904	231	3	102	102	NUM
fumecheng-7904	231	4	.	.	NOUN
fumecheng-7904	232	1	8	8	NUM
fumecheng-7904	232	2	.	.	X
fumecheng-7904	232	3	ozcelik	ozcelik	PROPN
fumecheng-7904	232	4	,	,	PUNCT
fumecheng-7904	232	5	b.	b.	PROPN
fumecheng-7904	232	6	,	,	PUNCT
fumecheng-7904	232	7	bayramoglu	bayramoglu	NOUN
fumecheng-7904	232	8	,	,	PUNCT
fumecheng-7904	232	9	m.	m.	NOUN
fumecheng-7904	232	10	,	,	PUNCT
fumecheng-7904	232	11	2006	2006	NUM
fumecheng-7904	232	12	,	,	PUNCT
fumecheng-7904	232	13	the	the	DET
fumecheng-7904	232	14	statistical	statistical	ADJ
fumecheng-7904	232	15	modeling	modeling	NOUN
fumecheng-7904	232	16	of	of	ADP
fumecheng-7904	232	17	surface	surface	NOUN
fumecheng-7904	232	18	roughness	roughness	NOUN
fumecheng-7904	232	19	in	in	ADP
fumecheng-7904	232	20	high	high	ADJ
fumecheng-7904	232	21	-	-	PUNCT
fumecheng-7904	232	22	speed	speed	NOUN
fumecheng-7904	232	23	flat	flat	ADJ
fumecheng-7904	232	24	end	end	NOUN
fumecheng-7904	232	25	milling	milling	NOUN
fumecheng-7904	232	26	,	,	PUNCT
fumecheng-7904	232	27	international	international	ADJ
fumecheng-7904	232	28	journal	journal	NOUN
fumecheng-7904	232	29	of	of	ADP
fumecheng-7904	232	30	machine	machine	NOUN
fumecheng-7904	232	31	tools	tool	NOUN
fumecheng-7904	232	32	and	and	CCONJ
fumecheng-7904	232	33	manufacture	manufacture	NOUN
fumecheng-7904	232	34	,	,	PUNCT
fumecheng-7904	232	35	46(12	46(12	NOUN
fumecheng-7904	232	36	-	-	SYM
fumecheng-7904	232	37	13	13	NUM
fumecheng-7904	232	38	)	)	PUNCT
fumecheng-7904	232	39	,	,	PUNCT
fumecheng-7904	232	40	pp	pp	ADP
fumecheng-7904	232	41	.	.	PUNCT
fumecheng-7904	233	1	1395	1395	NUM
fumecheng-7904	233	2	-	-	SYM
fumecheng-7904	233	3	402	402	NUM
fumecheng-7904	233	4	.	.	NOUN
fumecheng-7904	234	1	9	9	NUM
fumecheng-7904	234	2	.	.	X
fumecheng-7904	234	3	lela	lela	PROPN
fumecheng-7904	234	4	,	,	PUNCT
fumecheng-7904	234	5	b.	b.	PROPN
fumecheng-7904	234	6	,	,	PUNCT
fumecheng-7904	234	7	bajić	bajić	PROPN
fumecheng-7904	234	8	,	,	PUNCT
fumecheng-7904	234	9	d.	d.	PROPN
fumecheng-7904	234	10	,	,	PUNCT
fumecheng-7904	234	11	jozić	jozić	PROPN
fumecheng-7904	234	12	,	,	PUNCT
fumecheng-7904	234	13	s.	s.	PROPN
fumecheng-7904	234	14	,	,	PUNCT
fumecheng-7904	234	15	2009	2009	NUM
fumecheng-7904	234	16	,	,	PUNCT
fumecheng-7904	234	17	regression	regression	VERB
fumecheng-7904	234	18	analysis	analysis	NOUN
fumecheng-7904	234	19	,	,	PUNCT
fumecheng-7904	234	20	support	support	NOUN
fumecheng-7904	234	21	vector	vector	NOUN
fumecheng-7904	234	22	machines	machine	NOUN
fumecheng-7904	234	23	,	,	PUNCT
fumecheng-7904	234	24	and	and	CCONJ
fumecheng-7904	234	25	bayesian	bayesian	NOUN
fumecheng-7904	234	26	neural	neural	ADJ
fumecheng-7904	234	27	network	network	NOUN
fumecheng-7904	234	28	approaches	approach	NOUN
fumecheng-7904	234	29	to	to	ADP
fumecheng-7904	234	30	modeling	model	VERB
fumecheng-7904	234	31	surface	surface	NOUN
fumecheng-7904	234	32	roughness	roughness	NOUN
fumecheng-7904	234	33	in	in	ADP
fumecheng-7904	234	34	face	face	NOUN
fumecheng-7904	234	35	milling	milling	NOUN
fumecheng-7904	234	36	,	,	PUNCT
fumecheng-7904	234	37	international	international	ADJ
fumecheng-7904	234	38	journal	journal	NOUN
fumecheng-7904	234	39	of	of	ADP
fumecheng-7904	234	40	advanced	advanced	ADJ
fumecheng-7904	234	41	manufacturing	manufacturing	NOUN
fumecheng-7904	234	42	technology	technology	NOUN
fumecheng-7904	234	43	,	,	PUNCT
fumecheng-7904	234	44	42(11	42(11	PROPN
fumecheng-7904	234	45	-	-	NOUN
fumecheng-7904	234	46	12	12	NUM
fumecheng-7904	234	47	)	)	PUNCT
fumecheng-7904	234	48	,	,	PUNCT
fumecheng-7904	234	49	pp	pp	ADP
fumecheng-7904	234	50	.	.	PUNCT
fumecheng-7904	235	1	1082	1082	NUM
fumecheng-7904	235	2	-	-	SYM
fumecheng-7904	235	3	1088	1088	NUM
fumecheng-7904	235	4	.	.	PUNCT
fumecheng-7904	236	1	10	10	NUM
fumecheng-7904	236	2	.	.	X
fumecheng-7904	237	1	rashid	rashid	PROPN
fumecheng-7904	237	2	,	,	PUNCT
fumecheng-7904	237	3	m.f.f.a	m.f.f.a	PROPN
fumecheng-7904	237	4	.	.	PROPN
fumecheng-7904	237	5	,	,	PUNCT
fumecheng-7904	237	6	gan	gan	PROPN
fumecheng-7904	237	7	,	,	PUNCT
fumecheng-7904	237	8	s.y	s.y	PROPN
fumecheng-7904	237	9	.	.	PROPN
fumecheng-7904	237	10	,	,	PUNCT
fumecheng-7904	237	11	muhammad	muhammad	PROPN
fumecheng-7904	237	12	,	,	PUNCT
fumecheng-7904	237	13	n.y	n.y	PROPN
fumecheng-7904	237	14	.	.	PROPN
fumecheng-7904	237	15	,	,	PUNCT
fumecheng-7904	237	16	2009	2009	NUM
fumecheng-7904	237	17	,	,	PUNCT
fumecheng-7904	237	18	mathematical	mathematical	ADJ
fumecheng-7904	237	19	modeling	modeling	NOUN
fumecheng-7904	237	20	to	to	PART
fumecheng-7904	237	21	predict	predict	VERB
fumecheng-7904	237	22	surface	surface	NOUN
fumecheng-7904	237	23	roughness	roughness	NOUN
fumecheng-7904	237	24	in	in	ADP
fumecheng-7904	237	25	cnc	cnc	PROPN
fumecheng-7904	237	26	milling	milling	NOUN
fumecheng-7904	237	27	,	,	PUNCT
fumecheng-7904	237	28	world	world	PROPN
fumecheng-7904	237	29	academy	academy	PROPN
fumecheng-7904	237	30	of	of	ADP
fumecheng-7904	237	31	science	science	PROPN
fumecheng-7904	237	32	,	,	PUNCT
fumecheng-7904	237	33	engineering	engineering	NOUN
fumecheng-7904	237	34	and	and	CCONJ
fumecheng-7904	237	35	technology	technology	NOUN
fumecheng-7904	237	36	,	,	PUNCT
fumecheng-7904	237	37	53	53	NUM
fumecheng-7904	237	38	,	,	PUNCT
fumecheng-7904	237	39	pp	pp	ADJ
fumecheng-7904	237	40	.	.	PUNCT
fumecheng-7904	238	1	393	393	NUM
fumecheng-7904	238	2	-	-	SYM
fumecheng-7904	238	3	596	596	NUM
fumecheng-7904	238	4	.	.	PUNCT
fumecheng-7904	239	1	11	11	NUM
fumecheng-7904	239	2	.	.	X
fumecheng-7904	240	1	dave	dave	PROPN
fumecheng-7904	240	2	,	,	PUNCT
fumecheng-7904	240	3	h.k	h.k	PROPN
fumecheng-7904	240	4	.	.	PROPN
fumecheng-7904	240	5	,	,	PUNCT
fumecheng-7904	240	6	raval	raval	NOUN
fumecheng-7904	240	7	,	,	PUNCT
fumecheng-7904	240	8	h.k	h.k	PROPN
fumecheng-7904	240	9	.	.	PROPN
fumecheng-7904	240	10	,	,	PUNCT
fumecheng-7904	240	11	2010	2010	NUM
fumecheng-7904	240	12	,	,	PUNCT
fumecheng-7904	240	13	modelling	modelling	NOUN
fumecheng-7904	240	14	of	of	ADP
fumecheng-7904	240	15	cutting	cut	VERB
fumecheng-7904	240	16	forces	force	NOUN
fumecheng-7904	240	17	as	as	ADP
fumecheng-7904	240	18	a	a	DET
fumecheng-7904	240	19	function	function	NOUN
fumecheng-7904	240	20	of	of	ADP
fumecheng-7904	240	21	cutting	cut	VERB
fumecheng-7904	240	22	parameters	parameter	NOUN
fumecheng-7904	240	23	in	in	ADP
fumecheng-7904	240	24	milling	milling	NOUN
fumecheng-7904	240	25	process	process	NOUN
fumecheng-7904	240	26	using	use	VERB
fumecheng-7904	240	27	regression	regression	NOUN
fumecheng-7904	240	28	analysis	analysis	NOUN
fumecheng-7904	240	29	and	and	CCONJ
fumecheng-7904	240	30	artificial	artificial	ADJ
fumecheng-7904	240	31	neural	neural	ADJ
fumecheng-7904	240	32	network	network	NOUN
fumecheng-7904	240	33	,	,	PUNCT
fumecheng-7904	240	34	international	international	ADJ
fumecheng-7904	240	35	journal	journal	NOUN
fumecheng-7904	240	36	of	of	ADP
fumecheng-7904	240	37	machining	machining	NOUN
fumecheng-7904	240	38	and	and	CCONJ
fumecheng-7904	240	39	machinability	machinability	NOUN
fumecheng-7904	240	40	of	of	ADP
fumecheng-7904	240	41	materials	material	NOUN
fumecheng-7904	240	42	,	,	PUNCT
fumecheng-7904	240	43	8(1	8(1	NOUN
fumecheng-7904	240	44	-	-	SYM
fumecheng-7904	240	45	2	2	NUM
fumecheng-7904	240	46	)	)	PUNCT
fumecheng-7904	240	47	,	,	PUNCT
fumecheng-7904	240	48	pp	pp	ADJ
fumecheng-7904	240	49	.	.	PUNCT
fumecheng-7904	241	1	198	198	NUM
fumecheng-7904	241	2	-	-	SYM
fumecheng-7904	241	3	208	208	NUM
fumecheng-7904	241	4	.	.	PUNCT
fumecheng-7904	242	1	12	12	NUM
fumecheng-7904	242	2	.	.	PUNCT
fumecheng-7904	243	1	sharkawy	sharkawy	PROPN
fumecheng-7904	243	2	,	,	PUNCT
fumecheng-7904	243	3	a.b	a.b	PROPN
fumecheng-7904	243	4	.	.	PROPN
fumecheng-7904	243	5	,	,	PUNCT
fumecheng-7904	243	6	2011	2011	NUM
fumecheng-7904	243	7	,	,	PUNCT
fumecheng-7904	243	8	prediction	prediction	NOUN
fumecheng-7904	243	9	of	of	ADP
fumecheng-7904	243	10	surface	surface	NOUN
fumecheng-7904	243	11	roughness	roughness	NOUN
fumecheng-7904	243	12	in	in	ADP
fumecheng-7904	243	13	end	end	NOUN
fumecheng-7904	243	14	milling	milling	NOUN
fumecheng-7904	243	15	process	process	NOUN
fumecheng-7904	243	16	using	use	VERB
fumecheng-7904	243	17	intelligent	intelligent	ADJ
fumecheng-7904	243	18	systems	system	NOUN
fumecheng-7904	243	19	:	:	PUNCT
fumecheng-7904	243	20	a	a	DET
fumecheng-7904	243	21	comparative	comparative	ADJ
fumecheng-7904	243	22	study	study	NOUN
fumecheng-7904	243	23	,	,	PUNCT
fumecheng-7904	243	24	applied	apply	VERB
fumecheng-7904	243	25	computational	computational	ADJ
fumecheng-7904	243	26	intelligence	intelligence	NOUN
fumecheng-7904	243	27	and	and	CCONJ
fumecheng-7904	243	28	soft	soft	ADJ
fumecheng-7904	243	29	computing	computing	NOUN
fumecheng-7904	243	30	,	,	PUNCT
fumecheng-7904	243	31	183764	183764	NUM
fumecheng-7904	243	32	.	.	PUNCT
fumecheng-7904	244	1	13	13	NUM
fumecheng-7904	244	2	.	.	X
fumecheng-7904	245	1	durakbasa	durakbasa	PROPN
fumecheng-7904	245	2	,	,	PUNCT
fumecheng-7904	245	3	m.n	m.n	PROPN
fumecheng-7904	245	4	.	.	PROPN
fumecheng-7904	245	5	,	,	PUNCT
fumecheng-7904	245	6	akdogan	akdogan	PROPN
fumecheng-7904	245	7	,	,	PUNCT
fumecheng-7904	245	8	a.	a.	NOUN
fumecheng-7904	245	9	,	,	PUNCT
fumecheng-7904	245	10	vanli	vanli	PROPN
fumecheng-7904	245	11	,	,	PUNCT
fumecheng-7904	245	12	a.s	a.s	PROPN
fumecheng-7904	245	13	.	.	PROPN
fumecheng-7904	245	14	,	,	PUNCT
fumecheng-7904	245	15	günay	günay	PROPN
fumecheng-7904	245	16	,	,	PUNCT
fumecheng-7904	245	17	a.	a.	NOUN
fumecheng-7904	245	18	,	,	PUNCT
fumecheng-7904	245	19	2014	2014	NUM
fumecheng-7904	245	20	,	,	PUNCT
fumecheng-7904	245	21	surface	surface	NOUN
fumecheng-7904	245	22	roughness	roughness	NOUN
fumecheng-7904	245	23	modeling	modeling	NOUN
fumecheng-7904	245	24	with	with	ADP
fumecheng-7904	245	25	edge	edge	NOUN
fumecheng-7904	245	26	radius	radius	NOUN
fumecheng-7904	245	27	and	and	CCONJ
fumecheng-7904	245	28	end	end	VERB
fumecheng-7904	245	29	milling	mill	VERB
fumecheng-7904	245	30	parameters	parameter	NOUN
fumecheng-7904	245	31	on	on	ADP
fumecheng-7904	245	32	al	al	PROPN
fumecheng-7904	245	33	7075	7075	NUM
fumecheng-7904	245	34	alloy	alloy	NOUN
fumecheng-7904	245	35	using	use	VERB
fumecheng-7904	245	36	taguchi	taguchi	PROPN
fumecheng-7904	245	37	and	and	CCONJ
fumecheng-7904	245	38	regression	regression	NOUN
fumecheng-7904	245	39	methods	method	NOUN
fumecheng-7904	245	40	,	,	PUNCT
fumecheng-7904	245	41	acta	acta	PROPN
fumecheng-7904	245	42	imeko	imeko	NOUN
fumecheng-7904	245	43	,	,	PUNCT
fumecheng-7904	245	44	3(4	3(4	NUM
fumecheng-7904	245	45	)	)	PUNCT
fumecheng-7904	245	46	,	,	PUNCT
fumecheng-7904	246	1	pp	pp	PROPN
fumecheng-7904	246	2	.	.	PUNCT
fumecheng-7904	247	1	46	46	NUM
fumecheng-7904	247	2	-	-	SYM
fumecheng-7904	247	3	51	51	NUM
fumecheng-7904	247	4	.	.	PUNCT
fumecheng-7904	248	1	14	14	NUM
fumecheng-7904	248	2	.	.	X
fumecheng-7904	249	1	zhang	zhang	PROPN
fumecheng-7904	249	2	,	,	PUNCT
fumecheng-7904	249	3	g.	g.	PROPN
fumecheng-7904	249	4	,	,	PUNCT
fumecheng-7904	249	5	li	li	PROPN
fumecheng-7904	249	6	,	,	PUNCT
fumecheng-7904	249	7	j.	j.	PROPN
fumecheng-7904	249	8	,	,	PUNCT
fumecheng-7904	249	9	chen	chen	PROPN
fumecheng-7904	249	10	,	,	PUNCT
fumecheng-7904	249	11	y.	y.	PROPN
fumecheng-7904	249	12	,	,	PUNCT
fumecheng-7904	249	13	huang	huang	PROPN
fumecheng-7904	249	14	,	,	PUNCT
fumecheng-7904	249	15	y.	y.	PROPN
fumecheng-7904	249	16	,	,	PUNCT
fumecheng-7904	249	17	shao	shao	PROPN
fumecheng-7904	249	18	,	,	PUNCT
fumecheng-7904	249	19	x.	x.	PROPN
fumecheng-7904	249	20	,	,	PUNCT
fumecheng-7904	249	21	li	li	PROPN
fumecheng-7904	249	22	,	,	PUNCT
fumecheng-7904	249	23	m.	m.	NOUN
fumecheng-7904	249	24	,	,	PUNCT
fumecheng-7904	249	25	2014	2014	NUM
fumecheng-7904	249	26	,	,	PUNCT
fumecheng-7904	249	27	prediction	prediction	NOUN
fumecheng-7904	249	28	of	of	ADP
fumecheng-7904	249	29	surface	surface	NOUN
fumecheng-7904	249	30	roughness	roughness	NOUN
fumecheng-7904	249	31	in	in	ADP
fumecheng-7904	249	32	end	end	NOUN
fumecheng-7904	249	33	face	face	NOUN
fumecheng-7904	249	34	milling	mill	VERB
fumecheng-7904	249	35	based	base	VERB
fumecheng-7904	249	36	on	on	ADP
fumecheng-7904	249	37	gaussian	gaussian	ADJ
fumecheng-7904	249	38	process	process	NOUN
fumecheng-7904	249	39	regression	regression	NOUN
fumecheng-7904	249	40	and	and	CCONJ
fumecheng-7904	249	41	cause	cause	VERB
fumecheng-7904	249	42	analysis	analysis	NOUN
fumecheng-7904	249	43	considering	consider	VERB
fumecheng-7904	249	44	tool	tool	NOUN
fumecheng-7904	249	45	vibration	vibration	NOUN
fumecheng-7904	249	46	,	,	PUNCT
fumecheng-7904	249	47	international	international	ADJ
fumecheng-7904	249	48	journal	journal	NOUN
fumecheng-7904	249	49	of	of	ADP
fumecheng-7904	249	50	advanced	advanced	ADJ
fumecheng-7904	249	51	manufacturing	manufacturing	NOUN
fumecheng-7904	249	52	technology	technology	NOUN
fumecheng-7904	249	53	,	,	PUNCT
fumecheng-7904	249	54	75(9	75(9	PROPN
fumecheng-7904	249	55	-	-	PROPN
fumecheng-7904	249	56	12	12	NUM
fumecheng-7904	249	57	)	)	PUNCT
fumecheng-7904	249	58	,	,	PUNCT
fumecheng-7904	249	59	pp	pp	ADP
fumecheng-7904	249	60	.	.	PUNCT
fumecheng-7904	250	1	1357	1357	NUM
fumecheng-7904	250	2	-	-	SYM
fumecheng-7904	250	3	1370	1370	NUM
fumecheng-7904	250	4	.	.	PUNCT
fumecheng-7904	251	1	15	15	NUM
fumecheng-7904	251	2	.	.	X
fumecheng-7904	251	3	rubeo	rubeo	NOUN
fumecheng-7904	251	4	,	,	PUNCT
fumecheng-7904	251	5	m.a	m.a	PROPN
fumecheng-7904	251	6	.	.	PROPN
fumecheng-7904	251	7	,	,	PUNCT
fumecheng-7904	251	8	schmitz	schmitz	PROPN
fumecheng-7904	251	9	,	,	PUNCT
fumecheng-7904	251	10	t.l	t.l	PROPN
fumecheng-7904	251	11	.	.	PROPN
fumecheng-7904	251	12	,	,	PUNCT
fumecheng-7904	251	13	2016	2016	NUM
fumecheng-7904	251	14	,	,	PUNCT
fumecheng-7904	251	15	milling	mill	VERB
fumecheng-7904	251	16	force	force	NOUN
fumecheng-7904	251	17	modeling	modeling	NOUN
fumecheng-7904	251	18	:	:	PUNCT
fumecheng-7904	251	19	a	a	DET
fumecheng-7904	251	20	comparison	comparison	NOUN
fumecheng-7904	251	21	of	of	ADP
fumecheng-7904	251	22	two	two	NUM
fumecheng-7904	251	23	approaches	approach	NOUN
fumecheng-7904	251	24	,	,	PUNCT
fumecheng-7904	251	25	procedia	procedia	NOUN
fumecheng-7904	251	26	manufacturing	manufacturing	NOUN
fumecheng-7904	251	27	,	,	PUNCT
fumecheng-7904	251	28	5	5	NUM
fumecheng-7904	251	29	,	,	PUNCT
fumecheng-7904	251	30	pp	pp	ADJ
fumecheng-7904	251	31	.	.	PUNCT
fumecheng-7904	252	1	90	90	NUM
fumecheng-7904	252	2	-	-	SYM
fumecheng-7904	252	3	105	105	NUM
fumecheng-7904	252	4	.	.	PUNCT
fumecheng-7904	253	1	16	16	NUM
fumecheng-7904	253	2	.	.	PUNCT
fumecheng-7904	254	1	bandapalli	bandapalli	PROPN
fumecheng-7904	254	2	,	,	PUNCT
fumecheng-7904	254	3	c.	c.	PROPN
fumecheng-7904	254	4	,	,	PUNCT
fumecheng-7904	254	5	sutaria	sutaria	PROPN
fumecheng-7904	254	6	,	,	PUNCT
fumecheng-7904	254	7	b.m	b.m	PROPN
fumecheng-7904	254	8	.	.	PROPN
fumecheng-7904	254	9	,	,	PUNCT
fumecheng-7904	254	10	bhatt	bhatt	PROPN
fumecheng-7904	254	11	,	,	PUNCT
fumecheng-7904	254	12	d.v	d.v	PROPN
fumecheng-7904	254	13	.	.	PROPN
fumecheng-7904	254	14	,	,	PUNCT
fumecheng-7904	254	15	2019	2019	NUM
fumecheng-7904	254	16	,	,	PUNCT
fumecheng-7904	254	17	estimation	estimation	NOUN
fumecheng-7904	254	18	of	of	ADP
fumecheng-7904	254	19	surface	surface	NOUN
fumecheng-7904	254	20	roughness	roughness	NOUN
fumecheng-7904	254	21	on	on	ADP
fumecheng-7904	254	22	ti-6al-4v	ti-6al-4v	PROPN
fumecheng-7904	254	23	in	in	ADP
fumecheng-7904	254	24	high	high	ADJ
fumecheng-7904	254	25	speed	speed	NOUN
fumecheng-7904	254	26	micro	micro	NOUN
fumecheng-7904	254	27	end	end	NOUN
fumecheng-7904	254	28	milling	milling	NOUN
fumecheng-7904	254	29	by	by	ADP
fumecheng-7904	254	30	anfis	anfis	PROPN
fumecheng-7904	254	31	model	model	NOUN
fumecheng-7904	254	32	,	,	PUNCT
fumecheng-7904	254	33	indian	indian	PROPN
fumecheng-7904	254	34	journal	journal	NOUN
fumecheng-7904	254	35	of	of	ADP
fumecheng-7904	254	36	engineering	engineering	NOUN
fumecheng-7904	254	37	and	and	CCONJ
fumecheng-7904	254	38	material	material	NOUN
fumecheng-7904	254	39	sciences	science	NOUN
fumecheng-7904	254	40	,	,	PUNCT
fumecheng-7904	254	41	26(5	26(5	PROPN
fumecheng-7904	254	42	-	-	PUNCT
fumecheng-7904	254	43	6	6	NUM
fumecheng-7904	254	44	)	)	PUNCT
fumecheng-7904	254	45	,	,	PUNCT
fumecheng-7904	254	46	pp	pp	PROPN
fumecheng-7904	254	47	.	.	PUNCT
fumecheng-7904	255	1	379	379	NUM
fumecheng-7904	255	2	-	-	SYM
fumecheng-7904	255	3	389	389	NUM
fumecheng-7904	255	4	.	.	PUNCT
fumecheng-7904	256	1	17	17	NUM
fumecheng-7904	256	2	.	.	PUNCT
fumecheng-7904	257	1	yeganefar	yeganefar	ADV
fumecheng-7904	257	2	,	,	PUNCT
fumecheng-7904	257	3	a.	a.	NOUN
fumecheng-7904	257	4	,	,	PUNCT
fumecheng-7904	257	5	niknam	niknam	PROPN
fumecheng-7904	257	6	,	,	PUNCT
fumecheng-7904	257	7	s.a	s.a	PROPN
fumecheng-7904	257	8	.	.	PROPN
fumecheng-7904	257	9	,	,	PUNCT
fumecheng-7904	257	10	asadi	asadi	PROPN
fumecheng-7904	257	11	,	,	PUNCT
fumecheng-7904	257	12	r.	r.	PROPN
fumecheng-7904	257	13	,	,	PUNCT
fumecheng-7904	257	14	2019	2019	NUM
fumecheng-7904	257	15	,	,	PUNCT
fumecheng-7904	257	16	the	the	DET
fumecheng-7904	257	17	use	use	NOUN
fumecheng-7904	257	18	of	of	ADP
fumecheng-7904	257	19	support	support	NOUN
fumecheng-7904	257	20	vector	vector	NOUN
fumecheng-7904	257	21	machine	machine	NOUN
fumecheng-7904	257	22	,	,	PUNCT
fumecheng-7904	257	23	neural	neural	ADJ
fumecheng-7904	257	24	network	network	NOUN
fumecheng-7904	257	25	,	,	PUNCT
fumecheng-7904	257	26	and	and	CCONJ
fumecheng-7904	257	27	regression	regression	VERB
fumecheng-7904	257	28	analysis	analysis	NOUN
fumecheng-7904	257	29	to	to	PART
fumecheng-7904	257	30	predict	predict	VERB
fumecheng-7904	257	31	and	and	CCONJ
fumecheng-7904	257	32	optimize	optimize	VERB
fumecheng-7904	257	33	surface	surface	NOUN
fumecheng-7904	257	34	roughness	roughness	NOUN
fumecheng-7904	257	35	and	and	CCONJ
fumecheng-7904	257	36	cutting	cut	VERB
fumecheng-7904	257	37	forces	force	NOUN
fumecheng-7904	257	38	in	in	ADP
fumecheng-7904	257	39	milling	milling	NOUN
fumecheng-7904	257	40	,	,	PUNCT
fumecheng-7904	257	41	international	international	ADJ
fumecheng-7904	257	42	journal	journal	NOUN
fumecheng-7904	257	43	of	of	ADP
fumecheng-7904	257	44	advanced	advanced	ADJ
fumecheng-7904	257	45	manufacturing	manufacturing	NOUN
fumecheng-7904	257	46	technology	technology	NOUN
fumecheng-7904	257	47	,	,	PUNCT
fumecheng-7904	257	48	105(1	105(1	NUM
fumecheng-7904	257	49	)	)	PUNCT
fumecheng-7904	257	50	,	,	PUNCT
fumecheng-7904	257	51	pp	pp	PROPN
fumecheng-7904	257	52	.	.	PUNCT
fumecheng-7904	258	1	951	951	NUM
fumecheng-7904	258	2	-	-	SYM
fumecheng-7904	258	3	965	965	NUM
fumecheng-7904	258	4	.	.	PUNCT
fumecheng-7904	259	1	18	18	NUM
fumecheng-7904	259	2	.	.	X
fumecheng-7904	260	1	lin	lin	PROPN
fumecheng-7904	260	2	,	,	PUNCT
fumecheng-7904	260	3	y.c	y.c	PROPN
fumecheng-7904	260	4	.	.	PROPN
fumecheng-7904	260	5	,	,	PUNCT
fumecheng-7904	260	6	wu	wu	PROPN
fumecheng-7904	260	7	,	,	PUNCT
fumecheng-7904	260	8	k.d	k.d	PROPN
fumecheng-7904	260	9	.	.	PROPN
fumecheng-7904	260	10	,	,	PUNCT
fumecheng-7904	260	11	shih	shih	PROPN
fumecheng-7904	260	12	,	,	PUNCT
fumecheng-7904	260	13	w.c	w.c	PROPN
fumecheng-7904	260	14	.	.	PROPN
fumecheng-7904	260	15	,	,	PUNCT
fumecheng-7904	260	16	hsu	hsu	PROPN
fumecheng-7904	260	17	,	,	PUNCT
fumecheng-7904	260	18	p.k	p.k	PROPN
fumecheng-7904	260	19	.	.	PROPN
fumecheng-7904	260	20	,	,	PUNCT
fumecheng-7904	260	21	hung	hung	PROPN
fumecheng-7904	260	22	,	,	PUNCT
fumecheng-7904	260	23	j.p	j.p	PROPN
fumecheng-7904	260	24	.	.	PROPN
fumecheng-7904	260	25	,	,	PUNCT
fumecheng-7904	260	26	2020	2020	NUM
fumecheng-7904	260	27	,	,	PUNCT
fumecheng-7904	260	28	prediction	prediction	NOUN
fumecheng-7904	260	29	of	of	ADP
fumecheng-7904	260	30	surface	surface	NOUN
fumecheng-7904	260	31	roughness	roughness	NOUN
fumecheng-7904	260	32	based	base	VERB
fumecheng-7904	260	33	on	on	ADP
fumecheng-7904	260	34	cutting	cut	VERB
fumecheng-7904	260	35	parameters	parameter	NOUN
fumecheng-7904	260	36	and	and	CCONJ
fumecheng-7904	260	37	machining	machining	NOUN
fumecheng-7904	260	38	vibration	vibration	NOUN
fumecheng-7904	260	39	in	in	ADP
fumecheng-7904	260	40	end	end	NOUN
fumecheng-7904	260	41	milling	milling	NOUN
fumecheng-7904	260	42	using	use	VERB
fumecheng-7904	260	43	regression	regression	NOUN
fumecheng-7904	260	44	method	method	NOUN
fumecheng-7904	260	45	and	and	CCONJ
fumecheng-7904	260	46	artificial	artificial	ADJ
fumecheng-7904	260	47	neural	neural	ADJ
fumecheng-7904	260	48	network	network	NOUN
fumecheng-7904	260	49	,	,	PUNCT
fumecheng-7904	260	50	applied	apply	VERB
fumecheng-7904	260	51	sciences	science	NOUN
fumecheng-7904	260	52	,	,	PUNCT
fumecheng-7904	260	53	10(11	10(11	NUM
fumecheng-7904	260	54	)	)	PUNCT
fumecheng-7904	260	55	,	,	PUNCT
fumecheng-7904	260	56	3941	3941	NUM
fumecheng-7904	260	57	.	.	PUNCT
fumecheng-7904	261	1	19	19	NUM
fumecheng-7904	261	2	.	.	X
fumecheng-7904	261	3	khan	khan	PROPN
fumecheng-7904	261	4	,	,	PUNCT
fumecheng-7904	261	5	a.m.	a.m.	ADV
fumecheng-7904	261	6	,	,	PUNCT
fumecheng-7904	261	7	jamil	jamil	PROPN
fumecheng-7904	261	8	,	,	PUNCT
fumecheng-7904	261	9	m.	m.	NOUN
fumecheng-7904	261	10	,	,	PUNCT
fumecheng-7904	261	11	salonitis	salonitis	PROPN
fumecheng-7904	261	12	,	,	PUNCT
fumecheng-7904	261	13	k.	k.	PROPN
fumecheng-7904	261	14	,	,	PUNCT
fumecheng-7904	261	15	sarfraz	sarfraz	PROPN
fumecheng-7904	261	16	,	,	PUNCT
fumecheng-7904	261	17	s.	s.	PROPN
fumecheng-7904	261	18	,	,	PUNCT
fumecheng-7904	261	19	zhao	zhao	PROPN
fumecheng-7904	261	20	,	,	PUNCT
fumecheng-7904	261	21	w.	w.	PROPN
fumecheng-7904	261	22	,	,	PUNCT
fumecheng-7904	261	23	he	he	PRON
fumecheng-7904	261	24	,	,	PUNCT
fumecheng-7904	261	25	n.	n.	PROPN
fumecheng-7904	261	26	,	,	PUNCT
fumecheng-7904	261	27	mia	mia	PROPN
fumecheng-7904	261	28	,	,	PUNCT
fumecheng-7904	261	29	m.	m.	NOUN
fumecheng-7904	261	30	,	,	PUNCT
fumecheng-7904	261	31	zhao	zhao	PROPN
fumecheng-7904	261	32	,	,	PUNCT
fumecheng-7904	261	33	g.	g.	PROPN
fumecheng-7904	261	34	,	,	PUNCT
fumecheng-7904	261	35	2019	2019	NUM
fumecheng-7904	261	36	,	,	PUNCT
fumecheng-7904	261	37	multi	multi	ADJ
fumecheng-7904	261	38	-	-	ADJ
fumecheng-7904	261	39	objective	objective	ADJ
fumecheng-7904	261	40	optimization	optimization	NOUN
fumecheng-7904	261	41	of	of	ADP
fumecheng-7904	261	42	energy	energy	NOUN
fumecheng-7904	261	43	consumption	consumption	NOUN
fumecheng-7904	261	44	and	and	CCONJ
fumecheng-7904	261	45	surface	surface	NOUN
fumecheng-7904	261	46	quality	quality	NOUN
fumecheng-7904	261	47	in	in	ADP
fumecheng-7904	261	48	nanofluid	nanofluid	ADJ
fumecheng-7904	261	49	sqcl	sqcl	NOUN
fumecheng-7904	261	50	assisted	assist	VERB
fumecheng-7904	261	51	face	face	NOUN
fumecheng-7904	261	52	milling	milling	NOUN
fumecheng-7904	261	53	,	,	PUNCT
fumecheng-7904	261	54	energies	energy	NOUN
fumecheng-7904	261	55	,	,	PUNCT
fumecheng-7904	261	56	12(4	12(4	NUM
fumecheng-7904	261	57	)	)	PUNCT
fumecheng-7904	261	58	,	,	PUNCT
fumecheng-7904	261	59	710	710	NUM
fumecheng-7904	261	60	.	.	NOUN
fumecheng-7904	261	61	20	20	NUM
fumecheng-7904	261	62	.	.	X
fumecheng-7904	262	1	zhou	zhou	PROPN
fumecheng-7904	262	2	,	,	PUNCT
fumecheng-7904	262	3	z.h	z.h	PROPN
fumecheng-7904	262	4	.	.	PROPN
fumecheng-7904	262	5	,	,	PUNCT
fumecheng-7904	262	6	2009	2009	NUM
fumecheng-7904	262	7	,	,	PUNCT
fumecheng-7904	262	8	ensemble	ensemble	ADJ
fumecheng-7904	262	9	learning	learning	NOUN
fumecheng-7904	262	10	.	.	PUNCT
fumecheng-7904	263	1	encyclopaedia	encyclopaedia	PROPN
fumecheng-7904	263	2	of	of	ADP
fumecheng-7904	263	3	biometrics	biometric	NOUN
fumecheng-7904	263	4	,	,	PUNCT
fumecheng-7904	263	5	pp	pp	ADJ
fumecheng-7904	263	6	.	.	PUNCT
fumecheng-7904	264	1	270	270	NUM
fumecheng-7904	264	2	-	-	SYM
fumecheng-7904	264	3	273	273	NUM
fumecheng-7904	264	4	.	.	PUNCT
fumecheng-7904	265	1	21	21	NUM
fumecheng-7904	265	2	.	.	PUNCT
fumecheng-7904	266	1	oza	oza	PROPN
fumecheng-7904	266	2	,	,	PUNCT
fumecheng-7904	266	3	n.c	n.c	PROPN
fumecheng-7904	266	4	.	.	PROPN
fumecheng-7904	266	5	,	,	PUNCT
fumecheng-7904	266	6	russell	russell	PROPN
fumecheng-7904	266	7	,	,	PUNCT
fumecheng-7904	266	8	s.j	s.j	PROPN
fumecheng-7904	266	9	.	.	PROPN
fumecheng-7904	266	10	,	,	PUNCT
fumecheng-7904	266	11	2001	2001	NUM
fumecheng-7904	266	12	,	,	PUNCT
fumecheng-7904	266	13	online	online	ADJ
fumecheng-7904	266	14	bagging	bagging	NOUN
fumecheng-7904	266	15	and	and	CCONJ
fumecheng-7904	266	16	boosting	boost	VERB
fumecheng-7904	266	17	,	,	PUNCT
fumecheng-7904	266	18	in	in	ADP
fumecheng-7904	266	19	:	:	PUNCT
fumecheng-7904	266	20	proc	proc	NOUN
fumecheng-7904	266	21	.	.	PROPN
fumecheng-7904	266	22	of	of	ADP
fumecheng-7904	266	23	international	international	ADJ
fumecheng-7904	266	24	workshop	workshop	NOUN
fumecheng-7904	266	25	on	on	ADP
fumecheng-7904	266	26	artificial	artificial	ADJ
fumecheng-7904	266	27	intelligence	intelligence	NOUN
fumecheng-7904	266	28	and	and	CCONJ
fumecheng-7904	266	29	statistics	statistic	NOUN
fumecheng-7904	266	30	,	,	PUNCT
fumecheng-7904	266	31	pmlr	pmlr	NOUN
fumecheng-7904	266	32	,	,	PUNCT
fumecheng-7904	266	33	pp	pp	ADJ
fumecheng-7904	266	34	.	.	PUNCT
fumecheng-7904	267	1	229	229	NUM
fumecheng-7904	267	2	-	-	SYM
fumecheng-7904	267	3	236	236	NUM
fumecheng-7904	267	4	.	.	PUNCT
fumecheng-7904	268	1	22	22	NUM
fumecheng-7904	268	2	.	.	PUNCT
fumecheng-7904	269	1	dietterich	dietterich	PROPN
fumecheng-7904	269	2	,	,	PUNCT
fumecheng-7904	269	3	t.	t.	PROPN
fumecheng-7904	269	4	,	,	PUNCT
fumecheng-7904	269	5	2000	2000	NUM
fumecheng-7904	269	6	,	,	PUNCT
fumecheng-7904	269	7	ensemble	ensemble	ADJ
fumecheng-7904	269	8	methods	method	NOUN
fumecheng-7904	269	9	in	in	ADP
fumecheng-7904	269	10	machine	machine	NOUN
fumecheng-7904	269	11	learning	learning	NOUN
fumecheng-7904	269	12	,	,	PUNCT
fumecheng-7904	269	13	in	in	ADP
fumecheng-7904	269	14	:	:	PUNCT
fumecheng-7904	269	15	kittler	kittler	PROPN
fumecheng-7904	269	16	j	j	PROPN
fumecheng-7904	269	17	,	,	PUNCT
fumecheng-7904	269	18	roli	roli	PROPN
fumecheng-7904	269	19	f	f	PROPN
fumecheng-7904	269	20	(	(	PUNCT
fumecheng-7904	269	21	eds	ed	NOUN
fumecheng-7904	269	22	)	)	PUNCT
fumecheng-7904	269	23	multiple	multiple	ADJ
fumecheng-7904	269	24	classifier	classifier	NOUN
fumecheng-7904	269	25	systems	system	NOUN
fumecheng-7904	269	26	,	,	PUNCT
fumecheng-7904	269	27	springer	springer	NOUN
fumecheng-7904	269	28	-	-	PUNCT
fumecheng-7904	269	29	verlag	verlag	PROPN
fumecheng-7904	269	30	berlin	berlin	PROPN
fumecheng-7904	269	31	heidelberg	heidelberg	PROPN
fumecheng-7904	269	32	,	,	PUNCT
fumecheng-7904	269	33	pp	pp	PROPN
fumecheng-7904	269	34	.	.	PUNCT
fumecheng-7904	270	1	1	1	NUM
fumecheng-7904	270	2	-	-	SYM
fumecheng-7904	270	3	15	15	NUM
fumecheng-7904	270	4	.	.	NOUN
fumecheng-7904	271	1	23	23	NUM
fumecheng-7904	271	2	.	.	X
fumecheng-7904	272	1	brown	brown	PROPN
fumecheng-7904	272	2	,	,	PUNCT
fumecheng-7904	272	3	g.	g.	PROPN
fumecheng-7904	272	4	,	,	PUNCT
fumecheng-7904	272	5	2011	2011	NUM
fumecheng-7904	272	6	,	,	PUNCT
fumecheng-7904	272	7	ensemble	ensemble	ADJ
fumecheng-7904	272	8	learning	learning	NOUN
fumecheng-7904	272	9	.	.	PUNCT
fumecheng-7904	273	1	in	in	ADP
fumecheng-7904	273	2	:	:	PUNCT
fumecheng-7904	273	3	sammut	sammut	NOUN
fumecheng-7904	273	4	c	c	NOUN
fumecheng-7904	273	5	,	,	PUNCT
fumecheng-7904	273	6	webb	webb	PROPN
fumecheng-7904	273	7	gi	gi	PROPN
fumecheng-7904	273	8	(	(	PUNCT
fumecheng-7904	273	9	eds	ed	NOUN
fumecheng-7904	273	10	)	)	PUNCT
fumecheng-7904	273	11	encyclopedia	encyclopedia	NOUN
fumecheng-7904	273	12	of	of	ADP
fumecheng-7904	273	13	machine	machine	NOUN
fumecheng-7904	273	14	learning	learning	NOUN
fumecheng-7904	273	15	,	,	PUNCT
fumecheng-7904	273	16	springer	springer	NOUN
fumecheng-7904	273	17	,	,	PUNCT
fumecheng-7904	273	18	boston	boston	PROPN
fumecheng-7904	273	19	,	,	PUNCT
fumecheng-7904	273	20	ma	ma	PROPN
fumecheng-7904	273	21	.	.	PROPN
fumecheng-7904	273	22	24	24	NUM
fumecheng-7904	273	23	.	.	PUNCT
fumecheng-7904	273	24	breiman	breiman	PROPN
fumecheng-7904	273	25	,	,	PUNCT
fumecheng-7904	273	26	l.	l.	PROPN
fumecheng-7904	273	27	,	,	PUNCT
fumecheng-7904	273	28	2001	2001	NUM
fumecheng-7904	273	29	,	,	PUNCT
fumecheng-7904	273	30	machine	machine	NOUN
fumecheng-7904	273	31	learning	learning	NOUN
fumecheng-7904	273	32	.	.	PUNCT
fumecheng-7904	274	1	kluwer	kluwer	NOUN
fumecheng-7904	274	2	academic	academic	ADJ
fumecheng-7904	274	3	publishers	publisher	NOUN
fumecheng-7904	274	4	,	,	PUNCT
fumecheng-7904	274	5	the	the	DET
fumecheng-7904	274	6	netherlands	netherlands	PROPN
fumecheng-7904	274	7	,	,	PUNCT
fumecheng-7904	274	8	pp	pp	ADJ
fumecheng-7904	274	9	.	.	PUNCT
fumecheng-7904	275	1	5	5	NUM
fumecheng-7904	275	2	-	-	SYM
fumecheng-7904	275	3	32	32	NUM
fumecheng-7904	275	4	.	.	PUNCT
fumecheng-7904	275	5	700	700	NUM
fumecheng-7904	275	6	s.	s.	PROPN
fumecheng-7904	275	7	bhattacharya	bhattacharya	PROPN
fumecheng-7904	275	8	,	,	PUNCT
fumecheng-7904	275	9	s.	s.	PROPN
fumecheng-7904	275	10	chakraborty	chakraborty	PROPN
fumecheng-7904	275	11	25	25	NUM
fumecheng-7904	275	12	.	.	PUNCT
fumecheng-7904	276	1	boulesteix	boulesteix	PROPN
fumecheng-7904	276	2	,	,	PUNCT
fumecheng-7904	276	3	a.l	a.l	PROPN
fumecheng-7904	276	4	.	.	PROPN
fumecheng-7904	276	5	,	,	PUNCT
fumecheng-7904	276	6	janitza	janitza	PROPN
fumecheng-7904	276	7	,	,	PUNCT
fumecheng-7904	276	8	s.	s.	PROPN
fumecheng-7904	276	9	,	,	PUNCT
fumecheng-7904	276	10	kruppa	kruppa	PROPN
fumecheng-7904	276	11	,	,	PUNCT
fumecheng-7904	276	12	j.	j.	PROPN
fumecheng-7904	276	13	,	,	PUNCT
fumecheng-7904	276	14	könig	könig	PROPN
fumecheng-7904	276	15	,	,	PUNCT
fumecheng-7904	276	16	i.r	i.r	PROPN
fumecheng-7904	276	17	.	.	PROPN
fumecheng-7904	276	18	,	,	PUNCT
fumecheng-7904	276	19	2012	2012	NUM
fumecheng-7904	276	20	,	,	PUNCT
fumecheng-7904	276	21	overview	overview	NOUN
fumecheng-7904	276	22	of	of	ADP
fumecheng-7904	276	23	random	random	ADJ
fumecheng-7904	276	24	forest	forest	NOUN
fumecheng-7904	276	25	methodology	methodology	NOUN
fumecheng-7904	276	26	and	and	CCONJ
fumecheng-7904	276	27	practical	practical	ADJ
fumecheng-7904	276	28	guidance	guidance	NOUN
fumecheng-7904	276	29	with	with	ADP
fumecheng-7904	276	30	emphasis	emphasis	NOUN
fumecheng-7904	276	31	on	on	ADP
fumecheng-7904	276	32	computational	computational	ADJ
fumecheng-7904	276	33	biology	biology	NOUN
fumecheng-7904	276	34	and	and	CCONJ
fumecheng-7904	276	35	bioinformatics	bioinformatics	NOUN
fumecheng-7904	276	36	,	,	PUNCT
fumecheng-7904	276	37	wiley	wiley	NOUN
fumecheng-7904	276	38	interdisciplinary	interdisciplinary	ADJ
fumecheng-7904	276	39	reviews	review	NOUN
fumecheng-7904	276	40	:	:	PUNCT
fumecheng-7904	276	41	data	datum	NOUN
fumecheng-7904	276	42	mining	mining	NOUN
fumecheng-7904	276	43	and	and	CCONJ
fumecheng-7904	276	44	knowledge	knowledge	NOUN
fumecheng-7904	276	45	discovery	discovery	NOUN
fumecheng-7904	276	46	,	,	PUNCT
fumecheng-7904	276	47	2(6	2(6	NUM
fumecheng-7904	276	48	)	)	PUNCT
fumecheng-7904	276	49	,	,	PUNCT
fumecheng-7904	276	50	493	493	NUM
fumecheng-7904	276	51	-	-	SYM
fumecheng-7904	276	52	507	507	NUM
fumecheng-7904	276	53	.	.	NUM
fumecheng-7904	276	54	26	26	NUM
fumecheng-7904	276	55	.	.	PUNCT
fumecheng-7904	277	1	james	james	PROPN
fumecheng-7904	277	2	,	,	PUNCT
fumecheng-7904	277	3	g.	g.	PROPN
fumecheng-7904	277	4	,	,	PUNCT
fumecheng-7904	277	5	witten	witten	PROPN
fumecheng-7904	277	6	,	,	PUNCT
fumecheng-7904	277	7	d.	d.	PROPN
fumecheng-7904	277	8	,	,	PUNCT
fumecheng-7904	277	9	hastie	hastie	PROPN
fumecheng-7904	277	10	,	,	PUNCT
fumecheng-7904	277	11	t.	t.	PROPN
fumecheng-7904	277	12	,	,	PUNCT
fumecheng-7904	277	13	tibshirani	tibshirani	PROPN
fumecheng-7904	277	14	,	,	PUNCT
fumecheng-7904	277	15	r.	r.	PROPN
fumecheng-7904	277	16	,	,	PUNCT
fumecheng-7904	277	17	2013	2013	NUM
fumecheng-7904	277	18	,	,	PUNCT
fumecheng-7904	277	19	an	an	DET
fumecheng-7904	277	20	introduction	introduction	NOUN
fumecheng-7904	277	21	to	to	ADP
fumecheng-7904	277	22	statistical	statistical	ADJ
fumecheng-7904	277	23	learning	learning	NOUN
fumecheng-7904	277	24	:	:	PUNCT
fumecheng-7904	277	25	with	with	ADP
fumecheng-7904	277	26	applications	application	NOUN
fumecheng-7904	277	27	in	in	ADP
fumecheng-7904	277	28	r.	r.	PROPN
fumecheng-7904	277	29	springer	springer	PROPN
fumecheng-7904	277	30	,	,	PUNCT
fumecheng-7904	277	31	new	new	PROPN
fumecheng-7904	277	32	york	york	PROPN
fumecheng-7904	277	33	.	.	PUNCT
fumecheng-7904	278	1	27	27	NUM
fumecheng-7904	278	2	.	.	PUNCT
fumecheng-7904	279	1	bhattacharya	bhattacharya	PROPN
fumecheng-7904	279	2	,	,	PUNCT
fumecheng-7904	279	3	s.	s.	PROPN
fumecheng-7904	279	4	,	,	PUNCT
fumecheng-7904	279	5	das	das	PROPN
fumecheng-7904	279	6	,	,	PUNCT
fumecheng-7904	279	7	p.p	p.p	PROPN
fumecheng-7904	279	8	.	.	PROPN
fumecheng-7904	279	9	,	,	PUNCT
fumecheng-7904	279	10	chatterjee	chatterjee	PROPN
fumecheng-7904	279	11	,	,	PUNCT
fumecheng-7904	279	12	p.	p.	PROPN
fumecheng-7904	279	13	,	,	PUNCT
fumecheng-7904	279	14	chakraborty	chakraborty	PROPN
fumecheng-7904	279	15	,	,	PUNCT
fumecheng-7904	279	16	s.	s.	PROPN
fumecheng-7904	279	17	,	,	PUNCT
fumecheng-7904	279	18	2021	2021	NUM
fumecheng-7904	279	19	,	,	PUNCT
fumecheng-7904	279	20	prediction	prediction	NOUN
fumecheng-7904	279	21	of	of	ADP
fumecheng-7904	279	22	responses	response	NOUN
fumecheng-7904	279	23	in	in	ADP
fumecheng-7904	279	24	a	a	DET
fumecheng-7904	279	25	sustainable	sustainable	ADJ
fumecheng-7904	279	26	dry	dry	ADJ
fumecheng-7904	279	27	turning	turning	NOUN
fumecheng-7904	279	28	operation	operation	NOUN
fumecheng-7904	279	29	:	:	PUNCT
fumecheng-7904	279	30	a	a	DET
fumecheng-7904	279	31	comparative	comparative	ADJ
fumecheng-7904	279	32	analysis	analysis	NOUN
fumecheng-7904	279	33	,	,	PUNCT
fumecheng-7904	279	34	mathematical	mathematical	ADJ
fumecheng-7904	279	35	problems	problem	NOUN
fumecheng-7904	279	36	in	in	ADP
fumecheng-7904	279	37	engineering	engineering	NOUN
fumecheng-7904	279	38	,	,	PUNCT
fumecheng-7904	279	39	9967970	9967970	NUM
fumecheng-7904	279	40	.	.	PUNCT