id	sid	tid	token	lemma	pos
bracis-19050	1	1	interpreting	interpret	VERB
bracis-19050	1	2	classification	classification	NOUN
bracis-19050	1	3	models	model	NOUN
bracis-19050	1	4	using	use	VERB
bracis-19050	1	5	feature	feature	NOUN
bracis-19050	1	6	importance	importance	NOUN
bracis-19050	1	7	based	base	VERB
bracis-19050	1	8	on	on	ADP
bracis-19050	1	9	marginal	marginal	ADJ
bracis-19050	1	10	local	local	ADJ
bracis-19050	1	11	effects	effect	NOUN
bracis-19050	1	12	|	|	ADV
bracis-19050	1	13	springer	springer	NOUN
bracis-19050	1	14	nature	nature	PROPN
bracis-19050	1	15	link	link	PROPN
bracis-19050	1	16	(	(	PUNCT
bracis-19050	1	17	formerly	formerly	ADV
bracis-19050	1	18	springerlink	springerlink	NOUN
bracis-19050	1	19	)	)	PUNCT
bracis-19050	1	20	skip	skip	VERB
bracis-19050	1	21	to	to	ADP
bracis-19050	1	22	main	main	ADJ
bracis-19050	1	23	content	content	NOUN
bracis-19050	1	24	advertisement	advertisement	NOUN
bracis-19050	1	25	log	log	NOUN
bracis-19050	1	26	in	in	ADP
bracis-19050	1	27	menu	menu	NOUN
bracis-19050	1	28	find	find	VERB
bracis-19050	1	29	a	a	DET
bracis-19050	1	30	journal	journal	NOUN
bracis-19050	1	31	publish	publish	VERB
bracis-19050	1	32	with	with	ADP
bracis-19050	1	33	us	we	PRON
bracis-19050	1	34	track	track	VERB
bracis-19050	1	35	your	your	PRON
bracis-19050	1	36	research	research	NOUN
bracis-19050	1	37	search	search	NOUN
bracis-19050	1	38	cart	cart	NOUN
bracis-19050	1	39	home	home	NOUN
bracis-19050	1	40	intelligent	intelligent	ADJ
bracis-19050	1	41	systems	system	NOUN
bracis-19050	1	42	conference	conference	NOUN
bracis-19050	1	43	paper	paper	NOUN
bracis-19050	1	44	interpreting	interpret	VERB
bracis-19050	1	45	classification	classification	NOUN
bracis-19050	1	46	models	model	NOUN
bracis-19050	1	47	using	use	VERB
bracis-19050	1	48	feature	feature	NOUN
bracis-19050	1	49	importance	importance	NOUN
bracis-19050	1	50	based	base	VERB
bracis-19050	1	51	on	on	ADP
bracis-19050	1	52	marginal	marginal	ADJ
bracis-19050	1	53	local	local	ADJ
bracis-19050	1	54	effects	effect	NOUN
bracis-19050	1	55	conference	conference	NOUN
bracis-19050	1	56	paper	paper	NOUN
bracis-19050	1	57	first	first	ADV
bracis-19050	1	58	online	online	ADV
bracis-19050	1	59	:	:	PUNCT
bracis-19050	1	60	28	28	NUM
bracis-19050	1	61	november	november	NOUN
bracis-19050	1	62	2021	2021	NUM
bracis-19050	1	63	pp	pp	ADP
bracis-19050	1	64	484–497	484–497	NUM
bracis-19050	1	65	cite	cite	VERB
bracis-19050	1	66	this	this	DET
bracis-19050	1	67	conference	conference	NOUN
bracis-19050	1	68	paper	paper	NOUN
bracis-19050	1	69	access	access	NOUN
bracis-19050	1	70	provided	provide	VERB
bracis-19050	1	71	by	by	ADP
bracis-19050	1	72	university	university	PROPN
bracis-19050	1	73	of	of	ADP
bracis-19050	1	74	notre	notre	PROPN
bracis-19050	1	75	dame	dame	PROPN
bracis-19050	1	76	hesburgh	hesburgh	PROPN
bracis-19050	1	77	library	library	PROPN
bracis-19050	1	78	download	download	PROPN
bracis-19050	1	79	book	book	NOUN
bracis-19050	1	80	pdf	pdf	PROPN
bracis-19050	1	81	download	download	NOUN
bracis-19050	1	82	book	book	NOUN
bracis-19050	1	83	epub	epub	PROPN
bracis-19050	1	84	intelligent	intelligent	ADJ
bracis-19050	1	85	systems	system	NOUN
bracis-19050	1	86	(	(	PUNCT
bracis-19050	1	87	bracis	bracis	NOUN
bracis-19050	1	88	2021	2021	NUM
bracis-19050	1	89	)	)	PUNCT
bracis-19050	1	90	interpreting	interpret	VERB
bracis-19050	1	91	classification	classification	NOUN
bracis-19050	1	92	models	model	NOUN
bracis-19050	1	93	using	use	VERB
bracis-19050	1	94	feature	feature	NOUN
bracis-19050	1	95	importance	importance	NOUN
bracis-19050	1	96	based	base	VERB
bracis-19050	1	97	on	on	ADP
bracis-19050	1	98	marginal	marginal	ADJ
bracis-19050	1	99	local	local	ADJ
bracis-19050	1	100	effects	effect	NOUN
bracis-19050	1	101	download	download	VERB
bracis-19050	1	102	book	book	NOUN
bracis-19050	1	103	pdf	pdf	PROPN
bracis-19050	1	104	download	download	NOUN
bracis-19050	1	105	book	book	PROPN
bracis-19050	1	106	epub	epub	PROPN
bracis-19050	1	107	rogério	rogério	PROPN
bracis-19050	1	108	luiz	luiz	PROPN
bracis-19050	1	109	cardoso	cardoso	PROPN
bracis-19050	1	110	silva	silva	PROPN
bracis-19050	1	111	filho	filho	PROPN
bracis-19050	1	112	  	  	SPACE
bracis-19050	1	113	orcid	orcid	NOUN
bracis-19050	1	114	:	:	PUNCT
bracis-19050	1	115	orcid.org/0000-0002-0297-750710,11	orcid.org/0000-0002-0297-750710,11	PROPN
bracis-19050	1	116	,	,	PUNCT
bracis-19050	1	117	paulo	paulo	PROPN
bracis-19050	1	118	jorge	jorge	PROPN
bracis-19050	1	119	leitão	leitão	PROPN
bracis-19050	1	120	adeodato11	adeodato11	PROPN
bracis-19050	1	121	&	&	CCONJ
bracis-19050	1	122	kellyton	kellyton	PROPN
bracis-19050	1	123	dos	dos	PROPN
bracis-19050	1	124	santos	santos	PROPN
bracis-19050	1	125	brito	brito	PROPN
bracis-19050	1	126	  	  	SPACE
bracis-19050	1	127	orcid	orcid	NOUN
bracis-19050	1	128	:	:	PUNCT
bracis-19050	1	129	orcid.org/0000-0002-6883-865712	orcid.org/0000-0002-6883-865712	NOUN
bracis-19050	1	130	  	  	SPACE
bracis-19050	1	131	part	part	NOUN
bracis-19050	1	132	of	of	ADP
bracis-19050	1	133	the	the	DET
bracis-19050	1	134	book	book	NOUN
bracis-19050	1	135	series	series	NOUN
bracis-19050	1	136	:	:	PUNCT
bracis-19050	1	137	lecture	lecture	NOUN
bracis-19050	1	138	notes	note	NOUN
bracis-19050	1	139	in	in	ADP
bracis-19050	1	140	computer	computer	NOUN
bracis-19050	1	141	science	science	NOUN
bracis-19050	1	142	(	(	PUNCT
bracis-19050	1	143	(	(	PUNCT
bracis-19050	1	144	lnai	lnai	ADJ
bracis-19050	1	145	,	,	PUNCT
bracis-19050	1	146	volume	volume	NOUN
bracis-19050	1	147	13073	13073	NUM
bracis-19050	1	148	)	)	PUNCT
bracis-19050	1	149	)	)	PUNCT
bracis-19050	1	150	included	include	VERB
bracis-19050	1	151	in	in	ADP
bracis-19050	1	152	the	the	DET
bracis-19050	1	153	following	follow	VERB
bracis-19050	1	154	conference	conference	NOUN
bracis-19050	1	155	series	series	NOUN
bracis-19050	1	156	:	:	PUNCT
bracis-19050	1	157	brazilian	brazilian	ADJ
bracis-19050	1	158	conference	conference	NOUN
bracis-19050	1	159	on	on	ADP
bracis-19050	1	160	intelligent	intelligent	ADJ
bracis-19050	1	161	systems	system	NOUN
bracis-19050	1	162	890	890	NUM
bracis-19050	1	163	accesses	access	NOUN
bracis-19050	1	164	5	5	NUM
bracis-19050	1	165	citations	citation	NOUN
bracis-19050	1	166	abstract	abstract	ADJ
bracis-19050	1	167	machine	machine	NOUN
bracis-19050	1	168	learning	learning	NOUN
bracis-19050	1	169	models	model	NOUN
bracis-19050	1	170	are	be	AUX
bracis-19050	1	171	widespread	widespread	ADJ
bracis-19050	1	172	in	in	ADP
bracis-19050	1	173	many	many	ADJ
bracis-19050	1	174	different	different	ADJ
bracis-19050	1	175	fields	field	NOUN
bracis-19050	1	176	due	due	ADP
bracis-19050	1	177	to	to	ADP
bracis-19050	1	178	their	their	PRON
bracis-19050	1	179	remarkable	remarkable	ADJ
bracis-19050	1	180	performances	performance	NOUN
bracis-19050	1	181	in	in	ADP
bracis-19050	1	182	many	many	ADJ
bracis-19050	1	183	tasks	task	NOUN
bracis-19050	1	184	.	.	PUNCT
bracis-19050	2	1	some	some	PRON
bracis-19050	2	2	require	require	VERB
bracis-19050	2	3	greater	great	ADJ
bracis-19050	2	4	interpretability	interpretability	NOUN
bracis-19050	2	5	,	,	PUNCT
bracis-19050	2	6	which	which	PRON
bracis-19050	2	7	often	often	ADV
bracis-19050	2	8	signifies	signify	VERB
bracis-19050	2	9	that	that	SCONJ
bracis-19050	2	10	it	it	PRON
bracis-19050	2	11	is	be	AUX
bracis-19050	2	12	necessary	necessary	ADJ
bracis-19050	2	13	to	to	PART
bracis-19050	2	14	understand	understand	VERB
bracis-19050	2	15	the	the	DET
bracis-19050	2	16	mechanism	mechanism	NOUN
bracis-19050	2	17	underlying	underlie	VERB
bracis-19050	2	18	the	the	DET
bracis-19050	2	19	algorithms	algorithm	NOUN
bracis-19050	2	20	.	.	PUNCT
bracis-19050	3	1	feature	feature	NOUN
bracis-19050	3	2	importance	importance	NOUN
bracis-19050	3	3	is	be	AUX
bracis-19050	3	4	the	the	DET
bracis-19050	3	5	most	most	ADV
bracis-19050	3	6	common	common	ADJ
bracis-19050	3	7	explanation	explanation	NOUN
bracis-19050	3	8	and	and	CCONJ
bracis-19050	3	9	is	be	AUX
bracis-19050	3	10	essential	essential	ADJ
bracis-19050	3	11	in	in	ADP
bracis-19050	3	12	data	datum	NOUN
bracis-19050	3	13	mining	mining	NOUN
bracis-19050	3	14	,	,	PUNCT
bracis-19050	3	15	especially	especially	ADV
bracis-19050	3	16	in	in	ADP
bracis-19050	3	17	applied	applied	ADJ
bracis-19050	3	18	research	research	NOUN
bracis-19050	3	19	.	.	PUNCT
bracis-19050	4	1	there	there	PRON
bracis-19050	4	2	is	be	VERB
bracis-19050	4	3	a	a	DET
bracis-19050	4	4	frequent	frequent	ADJ
bracis-19050	4	5	need	need	NOUN
bracis-19050	4	6	to	to	PART
bracis-19050	4	7	compare	compare	VERB
bracis-19050	4	8	the	the	DET
bracis-19050	4	9	effect	effect	NOUN
bracis-19050	4	10	of	of	ADP
bracis-19050	4	11	features	feature	NOUN
bracis-19050	4	12	over	over	ADP
bracis-19050	4	13	time	time	NOUN
bracis-19050	4	14	,	,	PUNCT
bracis-19050	4	15	across	across	ADP
bracis-19050	4	16	models	model	NOUN
bracis-19050	4	17	,	,	PUNCT
bracis-19050	4	18	or	or	CCONJ
bracis-19050	4	19	even	even	ADV
bracis-19050	4	20	across	across	ADP
bracis-19050	4	21	studies	study	NOUN
bracis-19050	4	22	.	.	PUNCT
bracis-19050	5	1	for	for	ADP
bracis-19050	5	2	this	this	PRON
bracis-19050	5	3	,	,	PUNCT
bracis-19050	5	4	a	a	DET
bracis-19050	5	5	single	single	ADJ
bracis-19050	5	6	metric	metric	NOUN
bracis-19050	5	7	for	for	ADP
bracis-19050	5	8	each	each	DET
bracis-19050	5	9	feature	feature	NOUN
bracis-19050	5	10	shared	share	VERB
bracis-19050	5	11	by	by	ADP
bracis-19050	5	12	all	all	PRON
bracis-19050	5	13	may	may	AUX
bracis-19050	5	14	be	be	AUX
bracis-19050	5	15	more	more	ADV
bracis-19050	5	16	suitable	suitable	ADJ
bracis-19050	5	17	.	.	PUNCT
bracis-19050	6	1	thus	thus	ADV
bracis-19050	6	2	,	,	PUNCT
bracis-19050	6	3	analysts	analyst	NOUN
bracis-19050	6	4	may	may	AUX
bracis-19050	6	5	gain	gain	VERB
bracis-19050	6	6	better	well	ADJ
bracis-19050	6	7	first	first	ADJ
bracis-19050	6	8	-	-	PUNCT
bracis-19050	6	9	order	order	NOUN
bracis-19050	6	10	insights	insight	NOUN
bracis-19050	6	11	regarding	regard	VERB
bracis-19050	6	12	feature	feature	NOUN
bracis-19050	6	13	behavior	behavior	NOUN
bracis-19050	6	14	across	across	ADP
bracis-19050	6	15	these	these	DET
bracis-19050	6	16	different	different	ADJ
bracis-19050	6	17	scenarios	scenario	NOUN
bracis-19050	6	18	.	.	PUNCT
bracis-19050	7	1	the	the	DET
bracis-19050	7	2	\(\beta\)-coefficients	\(\beta\)-coefficient	NOUN
bracis-19050	7	3	of	of	ADP
bracis-19050	7	4	additive	additive	ADJ
bracis-19050	7	5	models	model	NOUN
bracis-19050	7	6	,	,	PUNCT
bracis-19050	7	7	such	such	ADJ
bracis-19050	7	8	as	as	ADP
bracis-19050	7	9	logistic	logistic	ADJ
bracis-19050	7	10	regressions	regression	NOUN
bracis-19050	7	11	,	,	PUNCT
bracis-19050	7	12	have	have	AUX
bracis-19050	7	13	been	be	AUX
bracis-19050	7	14	widely	widely	ADV
bracis-19050	7	15	used	use	VERB
bracis-19050	7	16	for	for	ADP
bracis-19050	7	17	this	this	DET
bracis-19050	7	18	purpose	purpose	NOUN
bracis-19050	7	19	.	.	PUNCT
bracis-19050	8	1	they	they	PRON
bracis-19050	8	2	describe	describe	VERB
bracis-19050	8	3	the	the	DET
bracis-19050	8	4	relationships	relationship	NOUN
bracis-19050	8	5	among	among	ADP
bracis-19050	8	6	predictors	predictor	NOUN
bracis-19050	8	7	and	and	CCONJ
bracis-19050	8	8	outcomes	outcome	NOUN
bracis-19050	8	9	in	in	ADP
bracis-19050	8	10	a	a	DET
bracis-19050	8	11	single	single	ADJ
bracis-19050	8	12	number	number	NOUN
bracis-19050	8	13	,	,	PUNCT
bracis-19050	8	14	indicating	indicate	VERB
bracis-19050	8	15	both	both	CCONJ
bracis-19050	8	16	their	their	PRON
bracis-19050	8	17	direction	direction	NOUN
bracis-19050	8	18	and	and	CCONJ
bracis-19050	8	19	size	size	NOUN
bracis-19050	8	20	.	.	PUNCT
bracis-19050	9	1	however	however	ADV
bracis-19050	9	2	,	,	PUNCT
bracis-19050	9	3	for	for	ADP
bracis-19050	9	4	black	black	ADJ
bracis-19050	9	5	-	-	PUNCT
bracis-19050	9	6	box	box	NOUN
bracis-19050	9	7	models	model	NOUN
bracis-19050	9	8	,	,	PUNCT
bracis-19050	9	9	there	there	PRON
bracis-19050	9	10	is	be	VERB
bracis-19050	9	11	no	no	DET
bracis-19050	9	12	metric	metric	NOUN
bracis-19050	9	13	with	with	ADP
bracis-19050	9	14	these	these	DET
bracis-19050	9	15	same	same	ADJ
bracis-19050	9	16	characteristics	characteristic	NOUN
bracis-19050	9	17	.	.	PUNCT
bracis-19050	10	1	furthermore	furthermore	ADV
bracis-19050	10	2	,	,	PUNCT
bracis-19050	10	3	even	even	ADV
bracis-19050	10	4	the	the	DET
bracis-19050	10	5	\(\beta\)-coefficients	\(\beta\)-coefficient	NOUN
bracis-19050	10	6	in	in	ADP
bracis-19050	10	7	logistic	logistic	ADJ
bracis-19050	10	8	regression	regression	NOUN
bracis-19050	10	9	models	model	NOUN
bracis-19050	10	10	have	have	VERB
bracis-19050	10	11	limitations	limitation	NOUN
bracis-19050	10	12	.	.	PUNCT
bracis-19050	11	1	hence	hence	ADV
bracis-19050	11	2	,	,	PUNCT
bracis-19050	11	3	this	this	DET
bracis-19050	11	4	paper	paper	NOUN
bracis-19050	11	5	discusses	discuss	VERB
bracis-19050	11	6	these	these	DET
bracis-19050	11	7	limitations	limitation	NOUN
bracis-19050	11	8	together	together	ADV
bracis-19050	11	9	with	with	ADP
bracis-19050	11	10	the	the	DET
bracis-19050	11	11	existing	exist	VERB
bracis-19050	11	12	alternatives	alternative	NOUN
bracis-19050	11	13	for	for	ADP
bracis-19050	11	14	overcoming	overcome	VERB
bracis-19050	11	15	them	they	PRON
bracis-19050	11	16	,	,	PUNCT
bracis-19050	11	17	and	and	CCONJ
bracis-19050	11	18	proposes	propose	VERB
bracis-19050	11	19	new	new	ADJ
bracis-19050	11	20	metrics	metric	NOUN
bracis-19050	11	21	of	of	ADP
bracis-19050	11	22	feature	feature	NOUN
bracis-19050	11	23	importance	importance	NOUN
bracis-19050	11	24	.	.	PUNCT
bracis-19050	12	1	as	as	ADP
bracis-19050	12	2	with	with	ADP
bracis-19050	12	3	the	the	DET
bracis-19050	12	4	coefficients	coefficient	NOUN
bracis-19050	12	5	,	,	PUNCT
bracis-19050	12	6	these	these	DET
bracis-19050	12	7	metrics	metric	NOUN
bracis-19050	12	8	indicate	indicate	VERB
bracis-19050	12	9	the	the	DET
bracis-19050	12	10	feature	feature	NOUN
bracis-19050	12	11	effect	effect	NOUN
bracis-19050	12	12	’s	’s	PART
bracis-19050	12	13	size	size	NOUN
bracis-19050	12	14	and	and	CCONJ
bracis-19050	12	15	direction	direction	NOUN
bracis-19050	12	16	,	,	PUNCT
bracis-19050	12	17	but	but	CCONJ
bracis-19050	12	18	in	in	ADP
bracis-19050	12	19	the	the	DET
bracis-19050	12	20	probability	probability	NOUN
bracis-19050	12	21	scale	scale	NOUN
bracis-19050	12	22	within	within	ADP
bracis-19050	12	23	a	a	DET
bracis-19050	12	24	model	model	ADJ
bracis-19050	12	25	-	-	ADJ
bracis-19050	12	26	agnostic	agnostic	ADJ
bracis-19050	12	27	framework	framework	NOUN
bracis-19050	12	28	.	.	PUNCT
bracis-19050	13	1	an	an	DET
bracis-19050	13	2	experiment	experiment	NOUN
bracis-19050	13	3	conducted	conduct	VERB
bracis-19050	13	4	on	on	ADP
bracis-19050	13	5	openly	openly	ADV
bracis-19050	13	6	available	available	ADJ
bracis-19050	13	7	breast	breast	NOUN
bracis-19050	13	8	cancer	cancer	NOUN
bracis-19050	13	9	data	datum	NOUN
bracis-19050	13	10	from	from	ADP
bracis-19050	13	11	the	the	DET
bracis-19050	13	12	uci	uci	PROPN
bracis-19050	13	13	archive	archive	NOUN
bracis-19050	13	14	verified	verify	VERB
bracis-19050	13	15	the	the	DET
bracis-19050	13	16	suitability	suitability	NOUN
bracis-19050	13	17	of	of	ADP
bracis-19050	13	18	these	these	DET
bracis-19050	13	19	metrics	metric	NOUN
bracis-19050	13	20	,	,	PUNCT
bracis-19050	13	21	and	and	CCONJ
bracis-19050	13	22	another	another	PRON
bracis-19050	13	23	on	on	ADP
bracis-19050	13	24	real	real	ADJ
bracis-19050	13	25	-	-	PUNCT
bracis-19050	13	26	world	world	NOUN
bracis-19050	13	27	data	datum	NOUN
bracis-19050	13	28	demonstrated	demonstrate	VERB
bracis-19050	13	29	how	how	SCONJ
bracis-19050	13	30	they	they	PRON
bracis-19050	13	31	may	may	AUX
bracis-19050	13	32	be	be	AUX
bracis-19050	13	33	helpful	helpful	ADJ
bracis-19050	13	34	in	in	ADP
bracis-19050	13	35	practice	practice	NOUN
bracis-19050	13	36	.	.	PUNCT
bracis-19050	14	1	access	access	NOUN
bracis-19050	14	2	provided	provide	VERB
bracis-19050	14	3	by	by	ADP
bracis-19050	14	4	university	university	PROPN
bracis-19050	14	5	of	of	ADP
bracis-19050	14	6	notre	notre	PROPN
bracis-19050	14	7	dame	dame	PROPN
bracis-19050	14	8	hesburgh	hesburgh	PROPN
bracis-19050	14	9	library	library	PROPN
bracis-19050	14	10	.	.	PUNCT
bracis-19050	15	1	download	download	PROPN
bracis-19050	15	2	conference	conference	NOUN
bracis-19050	15	3	paper	paper	NOUN
bracis-19050	15	4	pdf	pdf	NOUN
bracis-19050	15	5	similar	similar	ADJ
bracis-19050	15	6	content	content	NOUN
bracis-19050	15	7	being	be	AUX
bracis-19050	15	8	viewed	view	VERB
bracis-19050	15	9	by	by	ADP
bracis-19050	15	10	others	other	NOUN
bracis-19050	15	11	comparison	comparison	NOUN
bracis-19050	15	12	of	of	ADP
bracis-19050	15	13	feature	feature	NOUN
bracis-19050	15	14	importance	importance	NOUN
bracis-19050	15	15	measures	measure	NOUN
bracis-19050	15	16	as	as	ADP
bracis-19050	15	17	explanations	explanation	NOUN
bracis-19050	15	18	for	for	ADP
bracis-19050	15	19	classification	classification	NOUN
bracis-19050	15	20	models	model	NOUN
bracis-19050	15	21	article	article	NOUN
bracis-19050	15	22	open	open	ADJ
bracis-19050	15	23	access	access	NOUN
bracis-19050	15	24	03	03	NUM
bracis-19050	15	25	february	february	NOUN
bracis-19050	15	26	2021	2021	NUM
bracis-19050	15	27	can	can	AUX
bracis-19050	15	28	metafeatures	metafeature	NOUN
bracis-19050	15	29	help	help	VERB
bracis-19050	15	30	improve	improve	VERB
bracis-19050	15	31	explanations	explanation	NOUN
bracis-19050	15	32	of	of	ADP
bracis-19050	15	33	prediction	prediction	NOUN
bracis-19050	15	34	models	model	NOUN
bracis-19050	15	35	when	when	SCONJ
bracis-19050	15	36	using	use	VERB
bracis-19050	15	37	behavioral	behavioral	ADJ
bracis-19050	15	38	and	and	CCONJ
bracis-19050	15	39	textual	textual	ADJ
bracis-19050	15	40	data	datum	NOUN
bracis-19050	15	41	?	?	PUNCT
bracis-19050	16	1	article	article	NOUN
bracis-19050	16	2	08	08	NUM
bracis-19050	16	3	june	june	PROPN
bracis-19050	16	4	2021	2021	NUM
bracis-19050	16	5	grouped	group	VERB
bracis-19050	16	6	feature	feature	NOUN
bracis-19050	16	7	importance	importance	NOUN
bracis-19050	16	8	and	and	CCONJ
bracis-19050	16	9	combined	combine	VERB
bracis-19050	16	10	features	feature	NOUN
bracis-19050	16	11	effect	effect	NOUN
bracis-19050	16	12	plot	plot	NOUN
bracis-19050	16	13	article	article	NOUN
bracis-19050	16	14	open	open	VERB
bracis-19050	16	15	access	access	NOUN
bracis-19050	16	16	18	18	NUM
bracis-19050	16	17	june	june	PROPN
bracis-19050	16	18	2022	2022	NUM
bracis-19050	16	19	explore	explore	VERB
bracis-19050	16	20	related	relate	VERB
bracis-19050	16	21	subjects	subject	NOUN
bracis-19050	16	22	discover	discover	VERB
bracis-19050	16	23	the	the	DET
bracis-19050	16	24	latest	late	ADJ
bracis-19050	16	25	articles	article	NOUN
bracis-19050	16	26	,	,	PUNCT
bracis-19050	16	27	books	book	NOUN
bracis-19050	16	28	and	and	CCONJ
bracis-19050	16	29	news	news	NOUN
bracis-19050	16	30	in	in	ADP
bracis-19050	16	31	related	related	ADJ
bracis-19050	16	32	subjects	subject	NOUN
bracis-19050	16	33	,	,	PUNCT
bracis-19050	16	34	suggested	suggest	VERB
bracis-19050	16	35	using	use	VERB
bracis-19050	16	36	machine	machine	NOUN
bracis-19050	16	37	learning	learning	NOUN
bracis-19050	16	38	.	.	PUNCT
bracis-19050	17	1	categorization	categorization	NOUN
bracis-19050	17	2	information	information	NOUN
bracis-19050	17	3	model	model	NOUN
bracis-19050	17	4	linear	linear	NOUN
bracis-19050	17	5	models	model	NOUN
bracis-19050	17	6	and	and	CCONJ
bracis-19050	17	7	regression	regression	NOUN
bracis-19050	17	8	machine	machine	NOUN
bracis-19050	17	9	learning	learn	VERB
bracis-19050	17	10	predictive	predictive	ADJ
bracis-19050	17	11	markers	marker	NOUN
bracis-19050	17	12	statistical	statistical	ADJ
bracis-19050	17	13	learning	learn	VERB
bracis-19050	17	14	1	1	NUM
bracis-19050	17	15	introduction	introduction	NOUN
bracis-19050	17	16	explainable	explainable	ADJ
bracis-19050	17	17	artificial	artificial	ADJ
bracis-19050	17	18	intelligence	intelligence	NOUN
bracis-19050	17	19	(	(	PUNCT
bracis-19050	17	20	xai	xai	PROPN
bracis-19050	17	21	)	)	PUNCT
bracis-19050	17	22	is	be	AUX
bracis-19050	17	23	an	an	DET
bracis-19050	17	24	emerging	emerge	VERB
bracis-19050	17	25	research	research	NOUN
bracis-19050	17	26	area	area	NOUN
bracis-19050	17	27	that	that	PRON
bracis-19050	17	28	enables	enable	VERB
bracis-19050	17	29	black	black	ADJ
bracis-19050	17	30	-	-	PUNCT
bracis-19050	17	31	box	box	NOUN
bracis-19050	17	32	models	model	NOUN
bracis-19050	17	33	to	to	PART
bracis-19050	17	34	become	become	VERB
bracis-19050	17	35	trustworthy	trustworthy	ADJ
bracis-19050	17	36	for	for	ADP
bracis-19050	17	37	humans	human	NOUN
bracis-19050	17	38	.	.	PUNCT
bracis-19050	18	1	with	with	ADP
bracis-19050	18	2	a	a	DET
bracis-19050	18	3	growing	grow	VERB
bracis-19050	18	4	interest	interest	NOUN
bracis-19050	18	5	in	in	ADP
bracis-19050	18	6	explaining	explain	VERB
bracis-19050	18	7	machine	machine	NOUN
bracis-19050	18	8	learning	learning	NOUN
bracis-19050	18	9	(	(	PUNCT
bracis-19050	18	10	ml	ml	NOUN
bracis-19050	18	11	)	)	PUNCT
bracis-19050	18	12	models	model	NOUN
bracis-19050	18	13	to	to	PART
bracis-19050	18	14	fill	fill	VERB
bracis-19050	18	15	the	the	DET
bracis-19050	18	16	gap	gap	NOUN
bracis-19050	18	17	between	between	ADP
bracis-19050	18	18	interpretability	interpretability	NOUN
bracis-19050	18	19	and	and	CCONJ
bracis-19050	18	20	prediction	prediction	NOUN
bracis-19050	18	21	performance	performance	NOUN
bracis-19050	18	22	,	,	PUNCT
bracis-19050	18	23	over	over	ADP
bracis-19050	18	24	the	the	DET
bracis-19050	18	25	past	past	ADJ
bracis-19050	18	26	few	few	ADJ
bracis-19050	18	27	years	year	NOUN
bracis-19050	18	28	,	,	PUNCT
bracis-19050	18	29	many	many	ADJ
bracis-19050	18	30	techniques	technique	NOUN
bracis-19050	18	31	have	have	AUX
bracis-19050	18	32	been	be	AUX
bracis-19050	18	33	proposed	propose	VERB
bracis-19050	18	34	,	,	PUNCT
bracis-19050	18	35	and	and	CCONJ
bracis-19050	18	36	explainability	explainability	NOUN
bracis-19050	18	37	has	have	AUX
bracis-19050	18	38	become	become	VERB
bracis-19050	18	39	an	an	DET
bracis-19050	18	40	essential	essential	ADJ
bracis-19050	18	41	subfield	subfield	NOUN
bracis-19050	18	42	of	of	ADP
bracis-19050	18	43	ml	ml	PROPN
bracis-19050	18	44	[	[	X
bracis-19050	18	45	1	1	NUM
bracis-19050	18	46	]	]	PUNCT
bracis-19050	18	47	.	.	PUNCT
bracis-19050	19	1	this	this	DET
bracis-19050	19	2	combination	combination	NOUN
bracis-19050	19	3	has	have	AUX
bracis-19050	19	4	helped	help	VERB
bracis-19050	19	5	the	the	DET
bracis-19050	19	6	spread	spread	NOUN
bracis-19050	19	7	of	of	ADP
bracis-19050	19	8	ml	ml	NOUN
bracis-19050	19	9	in	in	ADP
bracis-19050	19	10	applied	apply	VERB
bracis-19050	19	11	research	research	NOUN
bracis-19050	19	12	areas	area	NOUN
bracis-19050	19	13	even	even	ADV
bracis-19050	19	14	more	more	ADV
bracis-19050	19	15	,	,	PUNCT
bracis-19050	19	16	such	such	ADJ
bracis-19050	19	17	as	as	ADP
bracis-19050	19	18	in	in	ADP
bracis-19050	19	19	education	education	NOUN
bracis-19050	19	20	,	,	PUNCT
bracis-19050	19	21	healthcare	healthcare	PROPN
bracis-19050	19	22	,	,	PUNCT
bracis-19050	19	23	finance	finance	NOUN
bracis-19050	19	24	,	,	PUNCT
bracis-19050	19	25	and	and	CCONJ
bracis-19050	19	26	social	social	ADJ
bracis-19050	19	27	media	medium	NOUN
bracis-19050	19	28	.	.	PUNCT
bracis-19050	20	1	for	for	ADP
bracis-19050	20	2	instance	instance	NOUN
bracis-19050	20	3	,	,	PUNCT
bracis-19050	20	4	simply	simply	ADV
bracis-19050	20	5	classifying	classify	VERB
bracis-19050	20	6	a	a	DET
bracis-19050	20	7	patient	patient	NOUN
bracis-19050	20	8	in	in	ADP
bracis-19050	20	9	a	a	DET
bracis-19050	20	10	hospital	hospital	NOUN
bracis-19050	20	11	into	into	ADP
bracis-19050	20	12	a	a	DET
bracis-19050	20	13	particular	particular	ADJ
bracis-19050	20	14	health	health	NOUN
bracis-19050	20	15	status	status	NOUN
bracis-19050	20	16	is	be	AUX
bracis-19050	20	17	not	not	PART
bracis-19050	20	18	particularly	particularly	ADV
bracis-19050	20	19	helpful	helpful	ADJ
bracis-19050	20	20	.	.	PUNCT
bracis-19050	21	1	it	it	PRON
bracis-19050	21	2	is	be	AUX
bracis-19050	21	3	more	more	ADV
bracis-19050	21	4	desirable	desirable	ADJ
bracis-19050	21	5	to	to	PART
bracis-19050	21	6	investigate	investigate	VERB
bracis-19050	21	7	the	the	DET
bracis-19050	21	8	conditions	condition	NOUN
bracis-19050	21	9	that	that	PRON
bracis-19050	21	10	have	have	AUX
bracis-19050	21	11	contributed	contribute	VERB
bracis-19050	21	12	to	to	ADP
bracis-19050	21	13	this	this	PRON
bracis-19050	21	14	[	[	X
bracis-19050	21	15	2	2	NUM
bracis-19050	21	16	]	]	PUNCT
bracis-19050	21	17	and	and	CCONJ
bracis-19050	21	18	would	would	AUX
bracis-19050	21	19	even	even	ADV
bracis-19050	21	20	become	become	VERB
bracis-19050	21	21	compulsory	compulsory	ADJ
bracis-19050	21	22	should	should	AUX
bracis-19050	21	23	any	any	DET
bracis-19050	21	24	legal	legal	ADJ
bracis-19050	21	25	matters	matter	NOUN
bracis-19050	21	26	arise	arise	VERB
bracis-19050	21	27	.	.	PUNCT
bracis-19050	22	1	additionally	additionally	ADV
bracis-19050	22	2	,	,	PUNCT
bracis-19050	22	3	in	in	ADP
bracis-19050	22	4	the	the	DET
bracis-19050	22	5	education	education	NOUN
bracis-19050	22	6	domain	domain	NOUN
bracis-19050	22	7	,	,	PUNCT
bracis-19050	22	8	discovering	discover	VERB
bracis-19050	22	9	why	why	SCONJ
bracis-19050	22	10	a	a	DET
bracis-19050	22	11	student	student	NOUN
bracis-19050	22	12	will	will	AUX
bracis-19050	22	13	drop	drop	VERB
bracis-19050	22	14	out	out	ADP
bracis-19050	22	15	is	be	AUX
bracis-19050	22	16	more	more	ADV
bracis-19050	22	17	valuable	valuable	ADJ
bracis-19050	22	18	than	than	ADP
bracis-19050	22	19	just	just	ADV
bracis-19050	22	20	predicting	predict	VERB
bracis-19050	22	21	it	it	PRON
bracis-19050	22	22	[	[	X
bracis-19050	22	23	3	3	NUM
bracis-19050	22	24	,	,	PUNCT
bracis-19050	22	25	4	4	NUM
bracis-19050	22	26	]	]	PUNCT
bracis-19050	22	27	because	because	SCONJ
bracis-19050	22	28	,	,	PUNCT
bracis-19050	22	29	as	as	ADP
bracis-19050	22	30	in	in	ADP
bracis-19050	22	31	medicine	medicine	NOUN
bracis-19050	22	32	,	,	PUNCT
bracis-19050	22	33	the	the	DET
bracis-19050	22	34	treatment	treatment	NOUN
bracis-19050	22	35	depends	depend	VERB
bracis-19050	22	36	on	on	ADP
bracis-19050	22	37	the	the	DET
bracis-19050	22	38	probable	probable	ADJ
bracis-19050	22	39	cause	cause	NOUN
bracis-19050	22	40	.	.	PUNCT
bracis-19050	23	1	similarly	similarly	ADV
bracis-19050	23	2	,	,	PUNCT
bracis-19050	23	3	auditing	audit	VERB
bracis-19050	23	4	the	the	DET
bracis-19050	23	5	behavior	behavior	NOUN
bracis-19050	23	6	of	of	ADP
bracis-19050	23	7	machine	machine	NOUN
bracis-19050	23	8	learning	learn	VERB
bracis-19050	23	9	bot	bot	NOUN
bracis-19050	23	10	detectors	detector	NOUN
bracis-19050	23	11	in	in	ADP
bracis-19050	23	12	social	social	ADJ
bracis-19050	23	13	media	medium	NOUN
bracis-19050	23	14	is	be	AUX
bracis-19050	23	15	valuable	valuable	ADJ
bracis-19050	23	16	in	in	ADP
bracis-19050	23	17	order	order	NOUN
bracis-19050	23	18	to	to	PART
bracis-19050	23	19	improve	improve	VERB
bracis-19050	23	20	the	the	DET
bracis-19050	23	21	models	model	NOUN
bracis-19050	23	22	for	for	ADP
bracis-19050	23	23	new	new	ADJ
bracis-19050	23	24	kinds	kind	NOUN
bracis-19050	23	25	of	of	ADP
bracis-19050	23	26	bots	bot	NOUN
bracis-19050	23	27	[	[	X
bracis-19050	23	28	5	5	NUM
bracis-19050	23	29	,	,	PUNCT
bracis-19050	23	30	6	6	NUM
bracis-19050	23	31	]	]	PUNCT
bracis-19050	23	32	.	.	PUNCT
bracis-19050	24	1	explanations	explanation	NOUN
bracis-19050	24	2	may	may	AUX
bracis-19050	24	3	be	be	AUX
bracis-19050	24	4	expressed	express	VERB
bracis-19050	24	5	in	in	ADP
bracis-19050	24	6	many	many	ADJ
bracis-19050	24	7	forms	form	NOUN
bracis-19050	24	8	.	.	PUNCT
bracis-19050	25	1	for	for	ADP
bracis-19050	25	2	classification	classification	NOUN
bracis-19050	25	3	problems	problem	NOUN
bracis-19050	25	4	,	,	PUNCT
bracis-19050	25	5	specifically	specifically	ADV
bracis-19050	25	6	,	,	PUNCT
bracis-19050	25	7	feature	feature	NOUN
bracis-19050	25	8	importance	importance	NOUN
bracis-19050	25	9	is	be	AUX
bracis-19050	25	10	widely	widely	ADV
bracis-19050	25	11	used	use	VERB
bracis-19050	25	12	[	[	PUNCT
bracis-19050	25	13	7	7	NUM
bracis-19050	25	14	,	,	PUNCT
bracis-19050	25	15	8	8	NUM
bracis-19050	25	16	]	]	PUNCT
bracis-19050	25	17	,	,	PUNCT
bracis-19050	25	18	and	and	CCONJ
bracis-19050	25	19	demonstrates	demonstrate	VERB
bracis-19050	25	20	the	the	DET
bracis-19050	25	21	global	global	ADJ
bracis-19050	25	22	impact	impact	NOUN
bracis-19050	25	23	of	of	ADP
bracis-19050	25	24	single	single	ADJ
bracis-19050	25	25	features	feature	NOUN
bracis-19050	25	26	in	in	ADP
bracis-19050	25	27	the	the	DET
bracis-19050	25	28	model	model	NOUN
bracis-19050	25	29	predictions	prediction	NOUN
bracis-19050	25	30	.	.	PUNCT
bracis-19050	26	1	a	a	DET
bracis-19050	26	2	wide	wide	ADJ
bracis-19050	26	3	variety	variety	NOUN
bracis-19050	26	4	of	of	ADP
bracis-19050	26	5	different	different	ADJ
bracis-19050	26	6	methods	method	NOUN
bracis-19050	26	7	with	with	ADP
bracis-19050	26	8	different	different	ADJ
bracis-19050	26	9	feature	feature	NOUN
bracis-19050	26	10	importance	importance	NOUN
bracis-19050	26	11	representations	representation	NOUN
bracis-19050	26	12	have	have	AUX
bracis-19050	26	13	been	be	AUX
bracis-19050	26	14	proposed	propose	VERB
bracis-19050	26	15	for	for	ADP
bracis-19050	26	16	this	this	DET
bracis-19050	26	17	purpose	purpose	NOUN
bracis-19050	26	18	[	[	X
bracis-19050	26	19	9,10,11	9,10,11	NOUN
bracis-19050	26	20	]	]	PUNCT
bracis-19050	26	21	.	.	PUNCT
bracis-19050	27	1	despite	despite	SCONJ
bracis-19050	27	2	these	these	DET
bracis-19050	27	3	advances	advance	NOUN
bracis-19050	27	4	,	,	PUNCT
bracis-19050	27	5	there	there	PRON
bracis-19050	27	6	is	be	VERB
bracis-19050	27	7	still	still	ADV
bracis-19050	27	8	a	a	DET
bracis-19050	27	9	lack	lack	NOUN
bracis-19050	27	10	of	of	ADP
bracis-19050	27	11	understanding	understanding	NOUN
bracis-19050	27	12	as	as	ADP
bracis-19050	27	13	to	to	ADP
bracis-19050	27	14	how	how	SCONJ
bracis-19050	27	15	these	these	DET
bracis-19050	27	16	methods	method	NOUN
bracis-19050	27	17	are	be	AUX
bracis-19050	27	18	related	relate	VERB
bracis-19050	27	19	and	and	CCONJ
bracis-19050	27	20	whether	whether	SCONJ
bracis-19050	27	21	one	one	NUM
bracis-19050	27	22	method	method	NOUN
bracis-19050	27	23	is	be	AUX
bracis-19050	27	24	preferable	preferable	ADJ
bracis-19050	27	25	over	over	ADP
bracis-19050	27	26	another	another	PRON
bracis-19050	27	27	[	[	X
bracis-19050	27	28	12	12	NUM
bracis-19050	27	29	]	]	PUNCT
bracis-19050	27	30	.	.	PUNCT
bracis-19050	28	1	in	in	ADP
bracis-19050	28	2	applied	applied	ADJ
bracis-19050	28	3	research	research	NOUN
bracis-19050	28	4	it	it	PRON
bracis-19050	28	5	is	be	AUX
bracis-19050	28	6	often	often	ADV
bracis-19050	28	7	necessary	necessary	ADJ
bracis-19050	28	8	to	to	PART
bracis-19050	28	9	track	track	VERB
bracis-19050	28	10	feature	feature	NOUN
bracis-19050	28	11	importance	importance	NOUN
bracis-19050	28	12	over	over	ADP
bracis-19050	28	13	time	time	NOUN
bracis-19050	28	14	,	,	PUNCT
bracis-19050	28	15	across	across	ADP
bracis-19050	28	16	models	model	NOUN
bracis-19050	28	17	or	or	CCONJ
bracis-19050	28	18	even	even	ADV
bracis-19050	28	19	across	across	ADP
bracis-19050	28	20	studies	study	NOUN
bracis-19050	28	21	.	.	PUNCT
bracis-19050	29	1	therefore	therefore	ADV
bracis-19050	29	2	,	,	PUNCT
bracis-19050	29	3	a	a	DET
bracis-19050	29	4	method	method	NOUN
bracis-19050	29	5	that	that	PRON
bracis-19050	29	6	enables	enable	VERB
bracis-19050	29	7	the	the	DET
bracis-19050	29	8	global	global	ADJ
bracis-19050	29	9	feature	feature	NOUN
bracis-19050	29	10	contribution	contribution	NOUN
bracis-19050	29	11	to	to	PART
bracis-19050	29	12	be	be	AUX
bracis-19050	29	13	represented	represent	VERB
bracis-19050	29	14	by	by	ADP
bracis-19050	29	15	a	a	DET
bracis-19050	29	16	single	single	ADJ
bracis-19050	29	17	metric	metric	NOUN
bracis-19050	29	18	is	be	AUX
bracis-19050	29	19	more	more	ADV
bracis-19050	29	20	suitable	suitable	ADJ
bracis-19050	29	21	than	than	ADP
bracis-19050	29	22	multiple	multiple	ADJ
bracis-19050	29	23	metrics	metric	NOUN
bracis-19050	29	24	or	or	CCONJ
bracis-19050	29	25	graphical	graphical	ADJ
bracis-19050	29	26	representation	representation	NOUN
bracis-19050	29	27	,	,	PUNCT
bracis-19050	29	28	otherwise	otherwise	ADV
bracis-19050	29	29	interpretability	interpretability	NOUN
bracis-19050	29	30	may	may	AUX
bracis-19050	29	31	be	be	AUX
bracis-19050	29	32	challenging	challenge	VERB
bracis-19050	29	33	to	to	PART
bracis-19050	29	34	understand	understand	VERB
bracis-19050	29	35	when	when	SCONJ
bracis-19050	29	36	handling	handle	VERB
bracis-19050	29	37	several	several	ADJ
bracis-19050	29	38	features	feature	NOUN
bracis-19050	29	39	in	in	ADP
bracis-19050	29	40	several	several	ADJ
bracis-19050	29	41	models	model	NOUN
bracis-19050	29	42	.	.	PUNCT
bracis-19050	30	1	a	a	DET
bracis-19050	30	2	standard	standard	ADJ
bracis-19050	30	3	single	single	ADJ
bracis-19050	30	4	metric	metric	NOUN
bracis-19050	30	5	of	of	ADP
bracis-19050	30	6	feature	feature	NOUN
bracis-19050	30	7	importance	importance	NOUN
bracis-19050	30	8	is	be	AUX
bracis-19050	30	9	the	the	DET
bracis-19050	30	10	coefficients	coefficient	NOUN
bracis-19050	30	11	of	of	ADP
bracis-19050	30	12	additive	additive	ADJ
bracis-19050	30	13	models	model	NOUN
bracis-19050	30	14	such	such	ADJ
bracis-19050	30	15	as	as	ADP
bracis-19050	30	16	linear	linear	ADJ
bracis-19050	30	17	and	and	CCONJ
bracis-19050	30	18	logistic	logistic	ADJ
bracis-19050	30	19	regressions	regression	NOUN
bracis-19050	30	20	.	.	PUNCT
bracis-19050	31	1	this	this	DET
bracis-19050	31	2	coefficient	coefficient	NOUN
bracis-19050	31	3	represents	represent	VERB
bracis-19050	31	4	the	the	DET
bracis-19050	31	5	weight	weight	NOUN
bracis-19050	31	6	of	of	ADP
bracis-19050	31	7	each	each	DET
bracis-19050	31	8	feature	feature	NOUN
bracis-19050	31	9	in	in	ADP
bracis-19050	31	10	the	the	DET
bracis-19050	31	11	additive	additive	ADJ
bracis-19050	31	12	function	function	NOUN
bracis-19050	31	13	,	,	PUNCT
bracis-19050	31	14	which	which	PRON
bracis-19050	31	15	describes	describe	VERB
bracis-19050	31	16	the	the	DET
bracis-19050	31	17	relationship	relationship	NOUN
bracis-19050	31	18	among	among	ADP
bracis-19050	31	19	features	feature	NOUN
bracis-19050	31	20	and	and	CCONJ
bracis-19050	31	21	outcome	outcome	NOUN
bracis-19050	31	22	.	.	PUNCT
bracis-19050	32	1	however	however	ADV
bracis-19050	32	2	,	,	PUNCT
bracis-19050	32	3	for	for	ADP
bracis-19050	32	4	generalized	generalized	ADJ
bracis-19050	32	5	linear	linear	NOUN
bracis-19050	32	6	models	model	NOUN
bracis-19050	32	7	(	(	PUNCT
bracis-19050	32	8	glm	glm	PROPN
bracis-19050	32	9	)	)	PUNCT
bracis-19050	32	10	,	,	PUNCT
bracis-19050	32	11	which	which	PRON
bracis-19050	32	12	involve	involve	VERB
bracis-19050	32	13	transformations	transformation	NOUN
bracis-19050	32	14	of	of	ADP
bracis-19050	32	15	this	this	DET
bracis-19050	32	16	linear	linear	ADJ
bracis-19050	32	17	predictor	predictor	NOUN
bracis-19050	32	18	into	into	ADP
bracis-19050	32	19	other	other	ADJ
bracis-19050	32	20	discrete	discrete	ADJ
bracis-19050	32	21	outcomes	outcome	NOUN
bracis-19050	32	22	,	,	PUNCT
bracis-19050	32	23	such	such	ADJ
bracis-19050	32	24	as	as	ADP
bracis-19050	32	25	logistic	logistic	ADJ
bracis-19050	32	26	regressions	regression	NOUN
bracis-19050	32	27	,	,	PUNCT
bracis-19050	32	28	the	the	DET
bracis-19050	32	29	coefficient	coefficient	NOUN
bracis-19050	32	30	interpretability	interpretability	NOUN
bracis-19050	32	31	is	be	AUX
bracis-19050	32	32	not	not	PART
bracis-19050	32	33	straightforward	straightforward	ADJ
bracis-19050	32	34	.	.	PUNCT
bracis-19050	33	1	moreover	moreover	ADV
bracis-19050	33	2	,	,	PUNCT
bracis-19050	33	3	the	the	DET
bracis-19050	33	4	coefficients	coefficient	NOUN
bracis-19050	33	5	are	be	AUX
bracis-19050	33	6	highly	highly	ADV
bracis-19050	33	7	sensitive	sensitive	ADJ
bracis-19050	33	8	to	to	ADP
bracis-19050	33	9	unobserved	unobserved	ADJ
bracis-19050	33	10	heterogeneity	heterogeneity	NOUN
bracis-19050	33	11	[	[	X
bracis-19050	33	12	13	13	NUM
bracis-19050	33	13	]	]	PUNCT
bracis-19050	33	14	and	and	CCONJ
bracis-19050	33	15	data	datum	NOUN
bracis-19050	33	16	scale	scale	NOUN
bracis-19050	33	17	[	[	X
bracis-19050	33	18	14	14	NUM
bracis-19050	33	19	]	]	PUNCT
bracis-19050	33	20	.	.	PUNCT
bracis-19050	34	1	to	to	PART
bracis-19050	34	2	circumvent	circumvent	VERB
bracis-19050	34	3	these	these	DET
bracis-19050	34	4	limitations	limitation	NOUN
bracis-19050	34	5	,	,	PUNCT
bracis-19050	34	6	marginal	marginal	ADJ
bracis-19050	34	7	effects	effect	NOUN
bracis-19050	34	8	(	(	PUNCT
bracis-19050	34	9	mes	me	NOUN
bracis-19050	34	10	)	)	PUNCT
bracis-19050	34	11	have	have	AUX
bracis-19050	34	12	long	long	ADV
bracis-19050	34	13	been	be	AUX
bracis-19050	34	14	proposed	propose	VERB
bracis-19050	34	15	[	[	X
bracis-19050	34	16	14	14	NUM
bracis-19050	34	17	]	]	PUNCT
bracis-19050	34	18	in	in	ADP
bracis-19050	34	19	the	the	DET
bracis-19050	34	20	traditional	traditional	ADJ
bracis-19050	34	21	statistical	statistical	ADJ
bracis-19050	34	22	literature	literature	NOUN
bracis-19050	34	23	.	.	PUNCT
bracis-19050	35	1	marginal	marginal	ADJ
bracis-19050	35	2	effects	effect	NOUN
bracis-19050	35	3	use	use	VERB
bracis-19050	35	4	the	the	DET
bracis-19050	35	5	prediction	prediction	NOUN
bracis-19050	35	6	function	function	NOUN
bracis-19050	35	7	to	to	PART
bracis-19050	35	8	calculate	calculate	VERB
bracis-19050	35	9	the	the	DET
bracis-19050	35	10	differences	difference	NOUN
bracis-19050	35	11	in	in	ADP
bracis-19050	35	12	probabilities	probability	NOUN
bracis-19050	35	13	of	of	ADP
bracis-19050	35	14	the	the	DET
bracis-19050	35	15	outcome	outcome	NOUN
bracis-19050	35	16	when	when	SCONJ
bracis-19050	35	17	the	the	DET
bracis-19050	35	18	features	feature	NOUN
bracis-19050	35	19	partially	partially	ADV
bracis-19050	35	20	change	change	VERB
bracis-19050	35	21	from	from	ADP
bracis-19050	35	22	one	one	NUM
bracis-19050	35	23	specified	specify	VERB
bracis-19050	35	24	value	value	NOUN
bracis-19050	35	25	to	to	ADP
bracis-19050	35	26	another	another	PRON
bracis-19050	35	27	.	.	PUNCT
bracis-19050	36	1	however	however	ADV
bracis-19050	36	2	,	,	PUNCT
bracis-19050	36	3	mes	me	NOUN
bracis-19050	36	4	fail	fail	VERB
bracis-19050	36	5	to	to	PART
bracis-19050	36	6	isolate	isolate	VERB
bracis-19050	36	7	the	the	DET
bracis-19050	36	8	feature	feature	NOUN
bracis-19050	36	9	effect	effect	NOUN
bracis-19050	36	10	when	when	SCONJ
bracis-19050	36	11	data	datum	NOUN
bracis-19050	36	12	are	be	AUX
bracis-19050	36	13	correlated	correlate	VERB
bracis-19050	36	14	[	[	PUNCT
bracis-19050	36	15	15	15	NUM
bracis-19050	36	16	]	]	PUNCT
bracis-19050	36	17	.	.	PUNCT
bracis-19050	37	1	this	this	DET
bracis-19050	37	2	problem	problem	NOUN
bracis-19050	37	3	arises	arise	VERB
bracis-19050	37	4	when	when	SCONJ
bracis-19050	37	5	the	the	DET
bracis-19050	37	6	computation	computation	NOUN
bracis-19050	37	7	of	of	ADP
bracis-19050	37	8	the	the	DET
bracis-19050	37	9	feature	feature	NOUN
bracis-19050	37	10	effect	effect	NOUN
bracis-19050	37	11	uses	use	VERB
bracis-19050	37	12	conditional	conditional	ADJ
bracis-19050	37	13	distribution	distribution	NOUN
bracis-19050	37	14	.	.	PUNCT
bracis-19050	38	1	thus	thus	ADV
bracis-19050	38	2	,	,	PUNCT
bracis-19050	38	3	since	since	SCONJ
bracis-19050	38	4	correlated	correlate	VERB
bracis-19050	38	5	features	feature	NOUN
bracis-19050	38	6	move	move	VERB
bracis-19050	38	7	in	in	ADP
bracis-19050	38	8	tandem	tandem	PROPN
bracis-19050	38	9	,	,	PUNCT
bracis-19050	38	10	it	it	PRON
bracis-19050	38	11	is	be	AUX
bracis-19050	38	12	unable	unable	ADJ
bracis-19050	38	13	to	to	PART
bracis-19050	38	14	distinguish	distinguish	VERB
bracis-19050	38	15	which	which	DET
bracis-19050	38	16	feature	feature	NOUN
bracis-19050	38	17	value	value	NOUN
bracis-19050	38	18	changes	change	NOUN
bracis-19050	38	19	influence	influence	VERB
bracis-19050	38	20	the	the	DET
bracis-19050	38	21	model	model	NOUN
bracis-19050	38	22	probabilities	probability	NOUN
bracis-19050	38	23	.	.	PUNCT
bracis-19050	39	1	for	for	ADP
bracis-19050	39	2	black	black	ADJ
bracis-19050	39	3	-	-	PUNCT
bracis-19050	39	4	box	box	NOUN
bracis-19050	39	5	models	model	NOUN
bracis-19050	39	6	however	however	ADV
bracis-19050	39	7	,	,	PUNCT
bracis-19050	39	8	the	the	DET
bracis-19050	39	9	permutation	permutation	NOUN
bracis-19050	39	10	feature	feature	NOUN
bracis-19050	39	11	importance	importance	NOUN
bracis-19050	39	12	(	(	PUNCT
bracis-19050	39	13	pfi	pfi	NOUN
bracis-19050	39	14	)	)	PUNCT
bracis-19050	39	15	derived	derive	VERB
bracis-19050	39	16	from	from	ADP
bracis-19050	39	17	tree	tree	NOUN
bracis-19050	39	18	-	-	PUNCT
bracis-19050	39	19	based	base	VERB
bracis-19050	39	20	algorithms	algorithms	NOUN
bracis-19050	39	21	is	be	AUX
bracis-19050	39	22	a	a	DET
bracis-19050	39	23	standard	standard	ADJ
bracis-19050	39	24	single	single	ADJ
bracis-19050	39	25	metric	metric	NOUN
bracis-19050	39	26	used	use	VERB
bracis-19050	39	27	to	to	PART
bracis-19050	39	28	report	report	VERB
bracis-19050	39	29	feature	feature	NOUN
bracis-19050	39	30	contribution	contribution	NOUN
bracis-19050	39	31	in	in	ADP
bracis-19050	39	32	classification	classification	NOUN
bracis-19050	39	33	problems	problem	NOUN
bracis-19050	39	34	.	.	PUNCT
bracis-19050	40	1	however	however	ADV
bracis-19050	40	2	,	,	PUNCT
bracis-19050	40	3	this	this	DET
bracis-19050	40	4	kind	kind	NOUN
bracis-19050	40	5	of	of	ADP
bracis-19050	40	6	metric	metric	ADJ
bracis-19050	40	7	is	be	AUX
bracis-19050	40	8	linked	link	VERB
bracis-19050	40	9	to	to	ADP
bracis-19050	40	10	model	model	NOUN
bracis-19050	40	11	error	error	NOUN
bracis-19050	40	12	,	,	PUNCT
bracis-19050	40	13	which	which	PRON
bracis-19050	40	14	can	can	AUX
bracis-19050	40	15	not	not	PART
bracis-19050	40	16	be	be	AUX
bracis-19050	40	17	a	a	DET
bracis-19050	40	18	metric	metric	NOUN
bracis-19050	40	19	of	of	ADP
bracis-19050	40	20	interest	interest	NOUN
bracis-19050	40	21	for	for	ADP
bracis-19050	40	22	analysts	analyst	NOUN
bracis-19050	40	23	[	[	X
bracis-19050	40	24	15	15	NUM
bracis-19050	40	25	]	]	PUNCT
bracis-19050	40	26	.	.	PUNCT
bracis-19050	41	1	furthermore	furthermore	ADV
bracis-19050	41	2	,	,	PUNCT
bracis-19050	41	3	it	it	PRON
bracis-19050	41	4	does	do	AUX
bracis-19050	41	5	not	not	PART
bracis-19050	41	6	report	report	VERB
bracis-19050	41	7	the	the	DET
bracis-19050	41	8	direction	direction	NOUN
bracis-19050	41	9	of	of	ADP
bracis-19050	41	10	the	the	DET
bracis-19050	41	11	feature	feature	NOUN
bracis-19050	41	12	effect	effect	NOUN
bracis-19050	41	13	,	,	PUNCT
bracis-19050	41	14	which	which	PRON
bracis-19050	41	15	may	may	AUX
bracis-19050	41	16	be	be	AUX
bracis-19050	41	17	critical	critical	ADJ
bracis-19050	41	18	for	for	ADP
bracis-19050	41	19	actionable	actionable	ADJ
bracis-19050	41	20	research	research	NOUN
bracis-19050	41	21	.	.	PUNCT
bracis-19050	42	1	recently	recently	ADV
bracis-19050	42	2	,	,	PUNCT
bracis-19050	42	3	shapley	shapley	ADJ
bracis-19050	42	4	additive	additive	ADJ
bracis-19050	42	5	explanations	explanation	NOUN
bracis-19050	42	6	(	(	PUNCT
bracis-19050	42	7	shap	shap	NOUN
bracis-19050	42	8	)	)	PUNCT
bracis-19050	43	1	[	[	X
bracis-19050	43	2	12	12	NUM
bracis-19050	43	3	]	]	PUNCT
bracis-19050	43	4	have	have	AUX
bracis-19050	43	5	been	be	AUX
bracis-19050	43	6	pointed	point	VERB
bracis-19050	43	7	out	out	ADP
bracis-19050	43	8	as	as	ADP
bracis-19050	43	9	the	the	DET
bracis-19050	43	10	most	most	ADV
bracis-19050	43	11	common	common	ADJ
bracis-19050	43	12	explainability	explainability	NOUN
bracis-19050	43	13	technique	technique	NOUN
bracis-19050	43	14	in	in	ADP
bracis-19050	43	15	organizations	organization	NOUN
bracis-19050	43	16	[	[	X
bracis-19050	43	17	1	1	NUM
bracis-19050	43	18	]	]	PUNCT
bracis-19050	43	19	.	.	PUNCT
bracis-19050	44	1	this	this	DET
bracis-19050	44	2	technique	technique	NOUN
bracis-19050	44	3	uses	use	VERB
bracis-19050	44	4	game	game	NOUN
bracis-19050	44	5	theory	theory	NOUN
bracis-19050	44	6	(	(	PUNCT
bracis-19050	44	7	shapley	shapley	NOUN
bracis-19050	44	8	values	value	NOUN
bracis-19050	44	9	)	)	PUNCT
bracis-19050	44	10	to	to	PART
bracis-19050	44	11	measure	measure	VERB
bracis-19050	44	12	the	the	DET
bracis-19050	44	13	contribution	contribution	NOUN
bracis-19050	44	14	of	of	ADP
bracis-19050	44	15	each	each	DET
bracis-19050	44	16	data	datum	NOUN
bracis-19050	44	17	point	point	NOUN
bracis-19050	44	18	to	to	ADP
bracis-19050	44	19	each	each	DET
bracis-19050	44	20	feature	feature	NOUN
bracis-19050	44	21	value	value	NOUN
bracis-19050	44	22	.	.	PUNCT
bracis-19050	45	1	thus	thus	ADV
bracis-19050	45	2	,	,	PUNCT
bracis-19050	45	3	it	it	PRON
bracis-19050	45	4	can	can	AUX
bracis-19050	45	5	deliver	deliver	VERB
bracis-19050	45	6	explanations	explanation	NOUN
bracis-19050	45	7	in	in	ADP
bracis-19050	45	8	fine	fine	ADJ
bracis-19050	45	9	grain	grain	NOUN
bracis-19050	45	10	,	,	PUNCT
bracis-19050	45	11	and	and	CCONJ
bracis-19050	45	12	by	by	ADP
bracis-19050	45	13	means	mean	NOUN
bracis-19050	45	14	of	of	ADP
bracis-19050	45	15	the	the	DET
bracis-19050	45	16	average	average	NOUN
bracis-19050	45	17	,	,	PUNCT
bracis-19050	45	18	report	report	VERB
bracis-19050	45	19	the	the	DET
bracis-19050	45	20	global	global	ADJ
bracis-19050	45	21	feature	feature	NOUN
bracis-19050	45	22	contributions	contribution	NOUN
bracis-19050	45	23	,	,	PUNCT
bracis-19050	45	24	including	include	VERB
bracis-19050	45	25	their	their	PRON
bracis-19050	45	26	direction	direction	NOUN
bracis-19050	45	27	.	.	PUNCT
bracis-19050	46	1	unfortunately	unfortunately	ADV
bracis-19050	46	2	,	,	PUNCT
bracis-19050	46	3	calculating	calculate	VERB
bracis-19050	46	4	the	the	DET
bracis-19050	46	5	exact	exact	ADJ
bracis-19050	46	6	shapley	shapley	NOUN
bracis-19050	46	7	value	value	NOUN
bracis-19050	46	8	is	be	AUX
bracis-19050	46	9	computationally	computationally	ADV
bracis-19050	46	10	expensive	expensive	ADJ
bracis-19050	46	11	[	[	X
bracis-19050	46	12	15	15	NUM
bracis-19050	46	13	]	]	PUNCT
bracis-19050	46	14	,	,	PUNCT
bracis-19050	46	15	and	and	CCONJ
bracis-19050	46	16	several	several	ADJ
bracis-19050	46	17	approximations	approximation	NOUN
bracis-19050	46	18	have	have	AUX
bracis-19050	46	19	been	be	AUX
bracis-19050	46	20	proposed	propose	VERB
bracis-19050	46	21	[	[	X
bracis-19050	46	22	16	16	NUM
bracis-19050	46	23	]	]	PUNCT
bracis-19050	46	24	.	.	PUNCT
bracis-19050	47	1	moreover	moreover	ADV
bracis-19050	47	2	,	,	PUNCT
bracis-19050	47	3	both	both	CCONJ
bracis-19050	47	4	pfi	pfi	NOUN
bracis-19050	47	5	and	and	CCONJ
bracis-19050	47	6	shap	shap	PROPN
bracis-19050	47	7	are	be	AUX
bracis-19050	47	8	permutation	permutation	NOUN
bracis-19050	47	9	-	-	PUNCT
bracis-19050	47	10	based	base	VERB
bracis-19050	47	11	techniques	technique	NOUN
bracis-19050	47	12	,	,	PUNCT
bracis-19050	47	13	and	and	CCONJ
bracis-19050	47	14	so	so	ADV
bracis-19050	47	15	,	,	PUNCT
bracis-19050	47	16	they	they	PRON
bracis-19050	47	17	are	be	AUX
bracis-19050	47	18	able	able	ADJ
bracis-19050	47	19	to	to	PART
bracis-19050	47	20	randomly	randomly	VERB
bracis-19050	47	21	sample	sample	NOUN
bracis-19050	47	22	from	from	ADP
bracis-19050	47	23	the	the	DET
bracis-19050	47	24	marginal	marginal	ADJ
bracis-19050	47	25	distribution	distribution	NOUN
bracis-19050	47	26	considering	consider	VERB
bracis-19050	47	27	unrealistic	unrealistic	ADJ
bracis-19050	47	28	data	datum	NOUN
bracis-19050	47	29	points	point	NOUN
bracis-19050	47	30	that	that	PRON
bracis-19050	47	31	are	be	AUX
bracis-19050	47	32	not	not	PART
bracis-19050	47	33	present	present	ADJ
bracis-19050	47	34	on	on	ADP
bracis-19050	47	35	training	train	VERB
bracis-19050	47	36	data	datum	NOUN
bracis-19050	47	37	.	.	PUNCT
bracis-19050	48	1	therefore	therefore	ADV
bracis-19050	48	2	,	,	PUNCT
bracis-19050	48	3	they	they	PRON
bracis-19050	48	4	extrapolate	extrapolate	VERB
bracis-19050	48	5	in	in	ADP
bracis-19050	48	6	areas	area	NOUN
bracis-19050	48	7	where	where	SCONJ
bracis-19050	48	8	the	the	DET
bracis-19050	48	9	model	model	NOUN
bracis-19050	48	10	was	be	AUX
bracis-19050	48	11	trained	train	VERB
bracis-19050	48	12	with	with	ADP
bracis-19050	48	13	either	either	CCONJ
bracis-19050	48	14	little	little	ADJ
bracis-19050	48	15	or	or	CCONJ
bracis-19050	48	16	no	no	PRON
bracis-19050	48	17	training	training	NOUN
bracis-19050	48	18	data	datum	NOUN
bracis-19050	48	19	,	,	PUNCT
bracis-19050	48	20	which	which	PRON
bracis-19050	48	21	may	may	AUX
bracis-19050	48	22	cause	cause	VERB
bracis-19050	48	23	misleading	misleading	ADJ
bracis-19050	48	24	explanations	explanation	NOUN
bracis-19050	48	25	[	[	X
bracis-19050	48	26	17	17	NUM
bracis-19050	48	27	]	]	PUNCT
bracis-19050	48	28	.	.	PUNCT
bracis-19050	49	1	recent	recent	ADJ
bracis-19050	49	2	advances	advance	NOUN
bracis-19050	49	3	in	in	ADP
bracis-19050	49	4	the	the	DET
bracis-19050	49	5	interpretable	interpretable	ADJ
bracis-19050	49	6	machine	machine	NOUN
bracis-19050	49	7	learning	learn	VERB
bracis-19050	49	8	field	field	NOUN
bracis-19050	49	9	,	,	PUNCT
bracis-19050	49	10	such	such	ADJ
bracis-19050	49	11	as	as	ADP
bracis-19050	49	12	accumulated	accumulate	VERB
bracis-19050	49	13	local	local	ADJ
bracis-19050	49	14	effects	effect	NOUN
bracis-19050	49	15	(	(	PUNCT
bracis-19050	49	16	ale	ale	NOUN
bracis-19050	49	17	)	)	PUNCT
bracis-19050	49	18	plots	plot	NOUN
bracis-19050	49	19	,	,	PUNCT
bracis-19050	49	20	have	have	AUX
bracis-19050	49	21	put	put	VERB
bracis-19050	49	22	forward	forward	ADV
bracis-19050	49	23	relevant	relevant	ADJ
bracis-19050	49	24	contributions	contribution	NOUN
bracis-19050	49	25	in	in	ADP
bracis-19050	49	26	this	this	DET
bracis-19050	49	27	direction	direction	NOUN
bracis-19050	49	28	.	.	PUNCT
bracis-19050	50	1	they	they	PRON
bracis-19050	50	2	have	have	AUX
bracis-19050	50	3	shed	shed	VERB
bracis-19050	50	4	light	light	NOUN
bracis-19050	50	5	on	on	ADP
bracis-19050	50	6	detecting	detect	VERB
bracis-19050	50	7	a	a	DET
bracis-19050	50	8	more	more	ADV
bracis-19050	50	9	reliable	reliable	ADJ
bracis-19050	50	10	feature	feature	NOUN
bracis-19050	50	11	effect	effect	NOUN
bracis-19050	50	12	with	with	ADP
bracis-19050	50	13	low	low	ADJ
bracis-19050	50	14	computational	computational	ADJ
bracis-19050	50	15	cost	cost	NOUN
bracis-19050	50	16	when	when	SCONJ
bracis-19050	50	17	features	feature	NOUN
bracis-19050	50	18	are	be	AUX
bracis-19050	50	19	correlated	correlate	VERB
bracis-19050	50	20	.	.	PUNCT
bracis-19050	51	1	however	however	ADV
bracis-19050	51	2	,	,	PUNCT
bracis-19050	51	3	ales	ale	NOUN
bracis-19050	51	4	have	have	AUX
bracis-19050	51	5	only	only	ADV
bracis-19050	51	6	been	be	AUX
bracis-19050	51	7	used	use	VERB
bracis-19050	51	8	to	to	PART
bracis-19050	51	9	visualize	visualize	VERB
bracis-19050	51	10	the	the	DET
bracis-19050	51	11	feature	feature	NOUN
bracis-19050	51	12	effects	effect	NOUN
bracis-19050	51	13	across	across	ADP
bracis-19050	51	14	different	different	ADJ
bracis-19050	51	15	values	value	NOUN
bracis-19050	51	16	by	by	ADP
bracis-19050	51	17	plots	plot	NOUN
bracis-19050	51	18	,	,	PUNCT
bracis-19050	51	19	which	which	PRON
bracis-19050	51	20	are	be	AUX
bracis-19050	51	21	not	not	PART
bracis-19050	51	22	visually	visually	ADV
bracis-19050	51	23	friendly	friendly	ADJ
bracis-19050	51	24	when	when	SCONJ
bracis-19050	51	25	the	the	DET
bracis-19050	51	26	analyst	analyst	NOUN
bracis-19050	51	27	compares	compare	VERB
bracis-19050	51	28	the	the	DET
bracis-19050	51	29	feature	feature	NOUN
bracis-19050	51	30	importance	importance	NOUN
bracis-19050	51	31	across	across	ADP
bracis-19050	51	32	multiple	multiple	ADJ
bracis-19050	51	33	models	model	NOUN
bracis-19050	51	34	.	.	PUNCT
bracis-19050	52	1	thus	thus	ADV
bracis-19050	52	2	,	,	PUNCT
bracis-19050	52	3	this	this	DET
bracis-19050	52	4	paper	paper	NOUN
bracis-19050	52	5	proposes	propose	VERB
bracis-19050	52	6	new	new	ADJ
bracis-19050	52	7	metrics	metric	NOUN
bracis-19050	52	8	of	of	ADP
bracis-19050	52	9	feature	feature	NOUN
bracis-19050	52	10	importance	importance	NOUN
bracis-19050	52	11	as	as	ADP
bracis-19050	52	12	a	a	DET
bracis-19050	52	13	valuable	valuable	ADJ
bracis-19050	52	14	option	option	NOUN
bracis-19050	52	15	when	when	SCONJ
bracis-19050	52	16	compared	compare	VERB
bracis-19050	52	17	to	to	ADP
bracis-19050	52	18	those	those	PRON
bracis-19050	52	19	already	already	ADV
bracis-19050	52	20	in	in	ADP
bracis-19050	52	21	existence	existence	NOUN
bracis-19050	52	22	.	.	PUNCT
bracis-19050	53	1	they	they	PRON
bracis-19050	53	2	allow	allow	VERB
bracis-19050	53	3	direct	direct	ADJ
bracis-19050	53	4	interpretation	interpretation	NOUN
bracis-19050	53	5	in	in	ADP
bracis-19050	53	6	the	the	DET
bracis-19050	53	7	probability	probability	NOUN
bracis-19050	53	8	scale	scale	NOUN
bracis-19050	53	9	,	,	PUNCT
bracis-19050	53	10	are	be	AUX
bracis-19050	53	11	more	more	ADV
bracis-19050	53	12	realistic	realistic	ADJ
bracis-19050	53	13	when	when	SCONJ
bracis-19050	53	14	dealing	deal	VERB
bracis-19050	53	15	with	with	ADP
bracis-19050	53	16	correlated	correlate	VERB
bracis-19050	53	17	data	datum	NOUN
bracis-19050	53	18	and	and	CCONJ
bracis-19050	53	19	are	be	AUX
bracis-19050	53	20	modeled	model	VERB
bracis-19050	53	21	in	in	ADP
bracis-19050	53	22	a	a	DET
bracis-19050	53	23	model	model	ADJ
bracis-19050	53	24	-	-	ADJ
bracis-19050	53	25	agnostic	agnostic	ADJ
bracis-19050	53	26	framework	framework	NOUN
bracis-19050	53	27	.	.	PUNCT
bracis-19050	54	1	although	although	SCONJ
bracis-19050	54	2	these	these	DET
bracis-19050	54	3	metrics	metric	NOUN
bracis-19050	54	4	may	may	AUX
bracis-19050	54	5	be	be	AUX
bracis-19050	54	6	extrapolated	extrapolate	VERB
bracis-19050	54	7	for	for	ADP
bracis-19050	54	8	any	any	DET
bracis-19050	54	9	class	class	NOUN
bracis-19050	54	10	of	of	ADP
bracis-19050	54	11	supervised	supervised	ADJ
bracis-19050	54	12	models	model	NOUN
bracis-19050	54	13	,	,	PUNCT
bracis-19050	54	14	in	in	ADP
bracis-19050	54	15	this	this	DET
bracis-19050	54	16	paper	paper	NOUN
bracis-19050	54	17	they	they	PRON
bracis-19050	54	18	are	be	AUX
bracis-19050	54	19	focused	focus	VERB
bracis-19050	54	20	only	only	ADV
bracis-19050	54	21	on	on	ADP
bracis-19050	54	22	binary	binary	ADJ
bracis-19050	54	23	classification	classification	NOUN
bracis-19050	54	24	.	.	PUNCT
bracis-19050	55	1	experiments	experiment	NOUN
bracis-19050	55	2	use	use	VERB
bracis-19050	55	3	open	open	ADJ
bracis-19050	55	4	-	-	PUNCT
bracis-19050	55	5	access	access	NOUN
bracis-19050	55	6	data	datum	NOUN
bracis-19050	55	7	from	from	ADP
bracis-19050	55	8	the	the	DET
bracis-19050	55	9	uci	uci	PROPN
bracis-19050	55	10	archive	archive	NOUN
bracis-19050	55	11	to	to	PART
bracis-19050	55	12	introduce	introduce	VERB
bracis-19050	55	13	differences	difference	NOUN
bracis-19050	55	14	among	among	ADP
bracis-19050	55	15	provided	provide	VERB
bracis-19050	55	16	metrics	metric	NOUN
bracis-19050	55	17	for	for	ADP
bracis-19050	55	18	logistic	logistic	ADJ
bracis-19050	55	19	regression	regression	NOUN
bracis-19050	55	20	coefficients	coefficient	NOUN
bracis-19050	55	21	and	and	CCONJ
bracis-19050	55	22	random	random	ADJ
bracis-19050	55	23	forest	forest	NOUN
bracis-19050	55	24	permutation	permutation	NOUN
bracis-19050	55	25	feature	feature	NOUN
bracis-19050	55	26	importance	importance	NOUN
bracis-19050	55	27	.	.	PUNCT
bracis-19050	56	1	lastly	lastly	ADV
bracis-19050	56	2	,	,	PUNCT
bracis-19050	56	3	real	real	ADJ
bracis-19050	56	4	-	-	PUNCT
bracis-19050	56	5	world	world	NOUN
bracis-19050	56	6	data	datum	NOUN
bracis-19050	56	7	are	be	AUX
bracis-19050	56	8	used	use	VERB
bracis-19050	56	9	to	to	PART
bracis-19050	56	10	demonstrate	demonstrate	VERB
bracis-19050	56	11	how	how	SCONJ
bracis-19050	56	12	they	they	PRON
bracis-19050	56	13	may	may	AUX
bracis-19050	56	14	be	be	AUX
bracis-19050	56	15	helpful	helpful	ADJ
bracis-19050	56	16	in	in	ADP
bracis-19050	56	17	a	a	DET
bracis-19050	56	18	practical	practical	ADJ
bracis-19050	56	19	problem	problem	NOUN
bracis-19050	56	20	.	.	PUNCT
bracis-19050	57	1	the	the	DET
bracis-19050	57	2	remainder	remainder	NOUN
bracis-19050	57	3	of	of	ADP
bracis-19050	57	4	this	this	DET
bracis-19050	57	5	paper	paper	NOUN
bracis-19050	57	6	is	be	AUX
bracis-19050	57	7	organized	organize	VERB
bracis-19050	57	8	as	as	SCONJ
bracis-19050	57	9	follows	follow	VERB
bracis-19050	57	10	:	:	PUNCT
bracis-19050	57	11	sect	sect	NOUN
bracis-19050	57	12	.	.	PUNCT
bracis-19050	57	13	 	 	SPACE
bracis-19050	58	1	2	2	NUM
bracis-19050	58	2	provides	provide	VERB
bracis-19050	58	3	a	a	DET
bracis-19050	58	4	background	background	NOUN
bracis-19050	58	5	of	of	ADP
bracis-19050	58	6	the	the	DET
bracis-19050	58	7	theory	theory	NOUN
bracis-19050	58	8	related	relate	VERB
bracis-19050	58	9	to	to	ADP
bracis-19050	58	10	this	this	DET
bracis-19050	58	11	work	work	NOUN
bracis-19050	58	12	.	.	PUNCT
bracis-19050	59	1	section	section	NOUN
bracis-19050	59	2	3	3	NUM
bracis-19050	59	3	introduces	introduce	NOUN
bracis-19050	59	4	and	and	CCONJ
bracis-19050	59	5	explains	explain	VERB
bracis-19050	59	6	the	the	DET
bracis-19050	59	7	proposed	propose	VERB
bracis-19050	59	8	metrics	metric	NOUN
bracis-19050	59	9	.	.	PUNCT
bracis-19050	60	1	section	section	NOUN
bracis-19050	60	2	4	4	NUM
bracis-19050	60	3	presents	present	VERB
bracis-19050	60	4	the	the	DET
bracis-19050	60	5	experiments	experiment	NOUN
bracis-19050	60	6	,	,	PUNCT
bracis-19050	60	7	results	result	NOUN
bracis-19050	60	8	,	,	PUNCT
bracis-19050	60	9	and	and	CCONJ
bracis-19050	60	10	interpretation	interpretation	NOUN
bracis-19050	60	11	,	,	PUNCT
bracis-19050	60	12	and	and	CCONJ
bracis-19050	60	13	lastly	lastly	ADV
bracis-19050	60	14	,	,	PUNCT
bracis-19050	60	15	sect	sect	NOUN
bracis-19050	60	16	.	.	PUNCT
bracis-19050	60	17	 	 	SPACE
bracis-19050	61	1	5	5	NUM
bracis-19050	61	2	summarizes	summarize	VERB
bracis-19050	61	3	the	the	DET
bracis-19050	61	4	main	main	ADJ
bracis-19050	61	5	findings	finding	NOUN
bracis-19050	61	6	,	,	PUNCT
bracis-19050	61	7	future	future	ADJ
bracis-19050	61	8	work	work	NOUN
bracis-19050	61	9	,	,	PUNCT
bracis-19050	61	10	limitations	limitation	NOUN
bracis-19050	61	11	,	,	PUNCT
bracis-19050	61	12	and	and	CCONJ
bracis-19050	61	13	conclusions	conclusion	NOUN
bracis-19050	61	14	.	.	PUNCT
bracis-19050	62	1	2	2	NUM
bracis-19050	62	2	background	background	NOUN
bracis-19050	62	3	there	there	PRON
bracis-19050	62	4	are	be	VERB
bracis-19050	62	5	several	several	ADJ
bracis-19050	62	6	goals	goal	NOUN
bracis-19050	62	7	for	for	ADP
bracis-19050	62	8	explaining	explain	VERB
bracis-19050	62	9	prediction	prediction	NOUN
bracis-19050	62	10	models	model	NOUN
bracis-19050	62	11	.	.	PUNCT
bracis-19050	63	1	in	in	ADP
bracis-19050	63	2	this	this	DET
bracis-19050	63	3	paper	paper	NOUN
bracis-19050	63	4	,	,	PUNCT
bracis-19050	63	5	the	the	DET
bracis-19050	63	6	main	main	ADJ
bracis-19050	63	7	goal	goal	NOUN
bracis-19050	63	8	of	of	ADP
bracis-19050	63	9	this	this	DET
bracis-19050	63	10	paper	paper	NOUN
bracis-19050	63	11	is	be	AUX
bracis-19050	63	12	to	to	PART
bracis-19050	63	13	support	support	VERB
bracis-19050	63	14	applied	apply	VERB
bracis-19050	63	15	research	research	NOUN
bracis-19050	63	16	providing	provide	VERB
bracis-19050	63	17	single	single	ADJ
bracis-19050	63	18	metrics	metric	NOUN
bracis-19050	63	19	that	that	PRON
bracis-19050	63	20	,	,	PUNCT
bracis-19050	63	21	in	in	ADP
bracis-19050	63	22	a	a	DET
bracis-19050	63	23	more	more	ADV
bracis-19050	63	24	realistic	realistic	ADJ
bracis-19050	63	25	scenario	scenario	NOUN
bracis-19050	63	26	,	,	PUNCT
bracis-19050	63	27	are	be	AUX
bracis-19050	63	28	able	able	ADJ
bracis-19050	63	29	to	to	PART
bracis-19050	63	30	report	report	VERB
bracis-19050	63	31	the	the	DET
bracis-19050	63	32	overall	overall	ADJ
bracis-19050	63	33	contribution	contribution	NOUN
bracis-19050	63	34	of	of	ADP
bracis-19050	63	35	model	model	NOUN
bracis-19050	63	36	features	feature	NOUN
bracis-19050	63	37	.	.	PUNCT
bracis-19050	64	1	hence	hence	ADV
bracis-19050	64	2	,	,	PUNCT
bracis-19050	64	3	this	this	DET
bracis-19050	64	4	section	section	NOUN
bracis-19050	64	5	defines	define	VERB
bracis-19050	64	6	feature	feature	NOUN
bracis-19050	64	7	importance	importance	NOUN
bracis-19050	64	8	,	,	PUNCT
bracis-19050	64	9	and	and	CCONJ
bracis-19050	64	10	reports	report	VERB
bracis-19050	64	11	the	the	DET
bracis-19050	64	12	main	main	ADJ
bracis-19050	64	13	existing	exist	VERB
bracis-19050	64	14	metrics	metric	NOUN
bracis-19050	64	15	and	and	CCONJ
bracis-19050	64	16	methods	method	NOUN
bracis-19050	64	17	for	for	ADP
bracis-19050	64	18	this	this	DET
bracis-19050	64	19	goal	goal	NOUN
bracis-19050	64	20	,	,	PUNCT
bracis-19050	64	21	which	which	PRON
bracis-19050	64	22	are	be	AUX
bracis-19050	64	23	directly	directly	ADV
bracis-19050	64	24	related	relate	VERB
bracis-19050	64	25	to	to	ADP
bracis-19050	64	26	this	this	DET
bracis-19050	64	27	work	work	NOUN
bracis-19050	64	28	.	.	PUNCT
bracis-19050	65	1	2.1	2.1	NUM
bracis-19050	65	2	feature	feature	NOUN
bracis-19050	65	3	importance	importance	NOUN
bracis-19050	65	4	the	the	DET
bracis-19050	65	5	most	most	ADV
bracis-19050	65	6	common	common	ADJ
bracis-19050	65	7	explanation	explanation	NOUN
bracis-19050	65	8	for	for	ADP
bracis-19050	65	9	the	the	DET
bracis-19050	65	10	classification	classification	NOUN
bracis-19050	65	11	model	model	NOUN
bracis-19050	65	12	is	be	AUX
bracis-19050	65	13	feature	feature	NOUN
bracis-19050	65	14	importance	importance	NOUN
bracis-19050	65	15	.	.	PUNCT
bracis-19050	66	1	also	also	ADV
bracis-19050	66	2	known	know	VERB
bracis-19050	66	3	as	as	ADP
bracis-19050	66	4	the	the	DET
bracis-19050	66	5	feature	feature	NOUN
bracis-19050	66	6	-	-	PUNCT
bracis-19050	66	7	level	level	NOUN
bracis-19050	66	8	interpretation	interpretation	NOUN
bracis-19050	66	9	or	or	CCONJ
bracis-19050	66	10	saliency	saliency	NOUN
bracis-19050	66	11	method	method	NOUN
bracis-19050	66	12	,	,	PUNCT
bracis-19050	66	13	the	the	DET
bracis-19050	66	14	method	method	NOUN
bracis-19050	66	15	is	be	AUX
bracis-19050	66	16	the	the	DET
bracis-19050	66	17	most	most	ADV
bracis-19050	66	18	well	well	ADV
bracis-19050	66	19	-	-	PUNCT
bracis-19050	66	20	studied	study	VERB
bracis-19050	66	21	explainability	explainability	NOUN
bracis-19050	66	22	technique	technique	NOUN
bracis-19050	66	23	.	.	PUNCT
bracis-19050	67	1	it	it	PRON
bracis-19050	67	2	explains	explain	VERB
bracis-19050	67	3	the	the	DET
bracis-19050	67	4	decision	decision	NOUN
bracis-19050	67	5	of	of	ADP
bracis-19050	67	6	an	an	DET
bracis-19050	67	7	algorithm	algorithm	NOUN
bracis-19050	67	8	by	by	ADP
bracis-19050	67	9	assigning	assign	VERB
bracis-19050	67	10	values	value	NOUN
bracis-19050	67	11	that	that	PRON
bracis-19050	67	12	reflect	reflect	VERB
bracis-19050	67	13	the	the	DET
bracis-19050	67	14	importance	importance	NOUN
bracis-19050	67	15	of	of	ADP
bracis-19050	67	16	input	input	NOUN
bracis-19050	67	17	components	component	NOUN
bracis-19050	67	18	in	in	ADP
bracis-19050	67	19	their	their	PRON
bracis-19050	67	20	contribution	contribution	NOUN
bracis-19050	67	21	to	to	ADP
bracis-19050	67	22	the	the	DET
bracis-19050	67	23	decisions	decision	NOUN
bracis-19050	67	24	.	.	PUNCT
bracis-19050	68	1	regardless	regardless	ADV
bracis-19050	68	2	of	of	ADP
bracis-19050	68	3	the	the	DET
bracis-19050	68	4	mechanism	mechanism	NOUN
bracis-19050	68	5	to	to	PART
bracis-19050	68	6	calculate	calculate	VERB
bracis-19050	68	7	it	it	PRON
bracis-19050	68	8	,	,	PUNCT
bracis-19050	68	9	its	its	PRON
bracis-19050	68	10	common	common	ADJ
bracis-19050	68	11	meaning	meaning	NOUN
bracis-19050	68	12	is	be	AUX
bracis-19050	68	13	related	relate	VERB
bracis-19050	68	14	to	to	ADP
bracis-19050	68	15	the	the	DET
bracis-19050	68	16	individual	individual	ADJ
bracis-19050	68	17	contribution	contribution	NOUN
bracis-19050	68	18	of	of	ADP
bracis-19050	68	19	the	the	DET
bracis-19050	68	20	corresponding	corresponding	ADJ
bracis-19050	68	21	feature	feature	NOUN
bracis-19050	68	22	for	for	ADP
bracis-19050	68	23	a	a	DET
bracis-19050	68	24	particular	particular	ADJ
bracis-19050	68	25	classifier	classifier	NOUN
bracis-19050	68	26	[	[	X
bracis-19050	68	27	8	8	NUM
bracis-19050	68	28	]	]	PUNCT
bracis-19050	68	29	.	.	PUNCT
bracis-19050	69	1	this	this	DET
bracis-19050	69	2	individual	individual	ADJ
bracis-19050	69	3	contribution	contribution	NOUN
bracis-19050	69	4	may	may	AUX
bracis-19050	69	5	be	be	AUX
bracis-19050	69	6	derived	derive	VERB
bracis-19050	69	7	from	from	ADP
bracis-19050	69	8	the	the	DET
bracis-19050	69	9	global	global	ADJ
bracis-19050	69	10	perspective	perspective	NOUN
bracis-19050	69	11	,	,	PUNCT
bracis-19050	69	12	where	where	SCONJ
bracis-19050	69	13	the	the	DET
bracis-19050	69	14	feature	feature	NOUN
bracis-19050	69	15	importance	importance	NOUN
bracis-19050	69	16	is	be	AUX
bracis-19050	69	17	related	relate	VERB
bracis-19050	69	18	to	to	ADP
bracis-19050	69	19	the	the	DET
bracis-19050	69	20	whole	whole	ADJ
bracis-19050	69	21	model	model	NOUN
bracis-19050	69	22	,	,	PUNCT
bracis-19050	69	23	and	and	CCONJ
bracis-19050	69	24	from	from	ADP
bracis-19050	69	25	the	the	DET
bracis-19050	69	26	local	local	ADJ
bracis-19050	69	27	perspective	perspective	NOUN
bracis-19050	69	28	,	,	PUNCT
bracis-19050	69	29	where	where	SCONJ
bracis-19050	69	30	the	the	DET
bracis-19050	69	31	importance	importance	NOUN
bracis-19050	69	32	is	be	AUX
bracis-19050	69	33	derived	derive	VERB
bracis-19050	69	34	for	for	ADP
bracis-19050	69	35	a	a	DET
bracis-19050	69	36	specific	specific	ADJ
bracis-19050	69	37	data	datum	NOUN
bracis-19050	69	38	point	point	NOUN
bracis-19050	69	39	[	[	X
bracis-19050	69	40	18	18	NUM
bracis-19050	69	41	]	]	PUNCT
bracis-19050	69	42	.	.	PUNCT
bracis-19050	70	1	moreover	moreover	ADV
bracis-19050	70	2	,	,	PUNCT
bracis-19050	70	3	it	it	PRON
bracis-19050	70	4	may	may	AUX
bracis-19050	70	5	be	be	AUX
bracis-19050	70	6	internal	internal	ADJ
bracis-19050	70	7	to	to	ADP
bracis-19050	70	8	the	the	DET
bracis-19050	70	9	model	model	NOUN
bracis-19050	70	10	(	(	PUNCT
bracis-19050	70	11	intrinsically	intrinsically	ADV
bracis-19050	70	12	)	)	PUNCT
bracis-19050	70	13	as	as	ADP
bracis-19050	70	14	the	the	DET
bracis-19050	70	15	coefficients	coefficient	NOUN
bracis-19050	70	16	of	of	ADP
bracis-19050	70	17	linear	linear	NOUN
bracis-19050	70	18	models	model	NOUN
bracis-19050	70	19	,	,	PUNCT
bracis-19050	70	20	or	or	CCONJ
bracis-19050	70	21	by	by	ADP
bracis-19050	70	22	applying	apply	VERB
bracis-19050	70	23	methods	method	NOUN
bracis-19050	70	24	that	that	PRON
bracis-19050	70	25	analyze	analyze	VERB
bracis-19050	70	26	the	the	DET
bracis-19050	70	27	model	model	NOUN
bracis-19050	70	28	after	after	ADP
bracis-19050	70	29	training	training	NOUN
bracis-19050	70	30	(	(	PUNCT
bracis-19050	70	31	post	post	X
bracis-19050	70	32	hoc	hoc	X
bracis-19050	70	33	)	)	PUNCT
bracis-19050	70	34	.	.	PUNCT
bracis-19050	71	1	another	another	DET
bracis-19050	71	2	criterion	criterion	NOUN
bracis-19050	71	3	to	to	PART
bracis-19050	71	4	classify	classify	VERB
bracis-19050	71	5	these	these	DET
bracis-19050	71	6	methods	method	NOUN
bracis-19050	71	7	is	be	AUX
bracis-19050	71	8	related	relate	VERB
bracis-19050	71	9	to	to	ADP
bracis-19050	71	10	their	their	PRON
bracis-19050	71	11	generalizability	generalizability	NOUN
bracis-19050	71	12	,	,	PUNCT
bracis-19050	71	13	whether	whether	SCONJ
bracis-19050	71	14	they	they	PRON
bracis-19050	71	15	are	be	AUX
bracis-19050	71	16	model	model	ADJ
bracis-19050	71	17	-	-	PUNCT
bracis-19050	71	18	specific	specific	ADJ
bracis-19050	71	19	or	or	CCONJ
bracis-19050	71	20	model	model	NOUN
bracis-19050	71	21	-	-	ADJ
bracis-19050	71	22	agnostic	agnostic	ADJ
bracis-19050	71	23	.	.	PUNCT
bracis-19050	72	1	while	while	SCONJ
bracis-19050	72	2	every	every	DET
bracis-19050	72	3	intrinsic	intrinsic	ADJ
bracis-19050	72	4	method	method	NOUN
bracis-19050	72	5	is	be	AUX
bracis-19050	72	6	specific	specific	ADJ
bracis-19050	72	7	,	,	PUNCT
bracis-19050	72	8	all	all	DET
bracis-19050	72	9	model	model	ADJ
bracis-19050	72	10	-	-	ADJ
bracis-19050	72	11	agnostic	agnostic	ADJ
bracis-19050	72	12	work	work	NOUN
bracis-19050	72	13	is	be	AUX
bracis-19050	72	14	in	in	ADP
bracis-19050	72	15	a	a	DET
bracis-19050	72	16	post	post	ADJ
bracis-19050	72	17	hoc	hoc	X
bracis-19050	72	18	framework	framework	NOUN
bracis-19050	72	19	[	[	X
bracis-19050	72	20	15	15	NUM
bracis-19050	72	21	]	]	PUNCT
bracis-19050	72	22	.	.	PUNCT
bracis-19050	73	1	2.2	2.2	NUM
bracis-19050	73	2	marginal	marginal	ADJ
bracis-19050	73	3	effects	effect	NOUN
bracis-19050	73	4	marginal	marginal	ADJ
bracis-19050	73	5	effects	effect	NOUN
bracis-19050	73	6	are	be	AUX
bracis-19050	73	7	a	a	DET
bracis-19050	73	8	general	general	ADJ
bracis-19050	73	9	concept	concept	NOUN
bracis-19050	73	10	and	and	CCONJ
bracis-19050	73	11	have	have	VERB
bracis-19050	73	12	different	different	ADJ
bracis-19050	73	13	meanings	meaning	NOUN
bracis-19050	73	14	depending	depend	VERB
bracis-19050	73	15	on	on	ADP
bracis-19050	73	16	the	the	DET
bracis-19050	73	17	discipline	discipline	NOUN
bracis-19050	73	18	.	.	PUNCT
bracis-19050	74	1	this	this	DET
bracis-19050	74	2	subsection	subsection	NOUN
bracis-19050	74	3	defines	define	VERB
bracis-19050	74	4	it	it	PRON
bracis-19050	74	5	according	accord	VERB
bracis-19050	74	6	to	to	ADP
bracis-19050	74	7	econometrics	econometric	NOUN
bracis-19050	74	8	,	,	PUNCT
bracis-19050	74	9	as	as	ADP
bracis-19050	74	10	the	the	DET
bracis-19050	74	11	“	"	PUNCT
bracis-19050	74	12	additional	additional	ADJ
bracis-19050	74	13	”	"	PUNCT
bracis-19050	74	14	effect	effect	NOUN
bracis-19050	74	15	.	.	PUNCT
bracis-19050	75	1	on	on	ADP
bracis-19050	75	2	the	the	DET
bracis-19050	75	3	other	other	ADJ
bracis-19050	75	4	hand	hand	NOUN
bracis-19050	75	5	,	,	PUNCT
bracis-19050	75	6	in	in	ADP
bracis-19050	75	7	subsect	subsect	NOUN
bracis-19050	75	8	.	.	PUNCT
bracis-19050	76	1	2.3	2.3	NUM
bracis-19050	76	2	,	,	PUNCT
bracis-19050	76	3	the	the	DET
bracis-19050	76	4	word	word	NOUN
bracis-19050	76	5	“	"	PUNCT
bracis-19050	76	6	marginal	marginal	ADJ
bracis-19050	76	7	”	"	PUNCT
bracis-19050	76	8	is	be	AUX
bracis-19050	76	9	related	relate	VERB
bracis-19050	76	10	to	to	ADP
bracis-19050	76	11	the	the	DET
bracis-19050	76	12	probability	probability	NOUN
bracis-19050	76	13	distribution	distribution	NOUN
bracis-19050	76	14	of	of	ADP
bracis-19050	76	15	a	a	DET
bracis-19050	76	16	feature	feature	NOUN
bracis-19050	76	17	as	as	ADV
bracis-19050	76	18	well	well	ADV
bracis-19050	76	19	.	.	PUNCT
bracis-19050	77	1	given	give	VERB
bracis-19050	77	2	a	a	DET
bracis-19050	77	3	features	feature	NOUN
bracis-19050	77	4	set	set	VERB
bracis-19050	77	5	x	x	PRON
bracis-19050	77	6	 	 	SPACE
bracis-19050	77	7	=	=	NOUN
bracis-19050	77	8	 	 	SPACE
bracis-19050	77	9	(	(	PUNCT
bracis-19050	77	10	\({x}_{1}\	\({x}_{1}\	PROPN
bracis-19050	77	11	)	)	PUNCT
bracis-19050	77	12	,	,	PUNCT
bracis-19050	77	13	\({x}_{2}\	\({x}_{2}\	PROPN
bracis-19050	77	14	)	)	PUNCT
bracis-19050	77	15	)	)	PUNCT
bracis-19050	77	16	,	,	PUNCT
bracis-19050	77	17	and	and	CCONJ
bracis-19050	77	18	the	the	DET
bracis-19050	77	19	predicted	predict	VERB
bracis-19050	77	20	function	function	NOUN
bracis-19050	77	21	\(\widehat{y	\(\widehat{y	NOUN
bracis-19050	77	22	}	}	PUNCT
bracis-19050	77	23	=	=	ADJ
bracis-19050	77	24	\widehat{f}\left(x\right)\	\widehat{f}\left(x\right)\	NOUN
bracis-19050	77	25	)	)	PUNCT
bracis-19050	77	26	,	,	PUNCT
bracis-19050	77	27	the	the	DET
bracis-19050	77	28	marginal	marginal	ADJ
bracis-19050	77	29	effects	effect	NOUN
bracis-19050	77	30	(	(	PUNCT
bracis-19050	77	31	me	i	PRON
bracis-19050	77	32	)	)	PUNCT
bracis-19050	77	33	with	with	ADP
bracis-19050	77	34	respect	respect	NOUN
bracis-19050	77	35	to	to	ADP
bracis-19050	77	36	\({x}_{1}\	\({x}_{1}\	PROPN
bracis-19050	77	37	)	)	PUNCT
bracis-19050	77	38	at	at	ADP
bracis-19050	77	39	a	a	DET
bracis-19050	77	40	specific	specific	ADJ
bracis-19050	77	41	value	value	NOUN
bracis-19050	77	42	corresponds	correspond	VERB
bracis-19050	77	43	to	to	ADP
bracis-19050	77	44	the	the	DET
bracis-19050	77	45	changes	change	NOUN
bracis-19050	77	46	in	in	ADP
bracis-19050	77	47	the	the	DET
bracis-19050	77	48	outcome	outcome	NOUN
bracis-19050	77	49	\(\widehat{y}\	\(\widehat{y}\	NOUN
bracis-19050	77	50	)	)	PUNCT
bracis-19050	77	51	,	,	PUNCT
bracis-19050	77	52	given	give	VERB
bracis-19050	77	53	that	that	DET
bracis-19050	77	54	\({x}_{1}\	\({x}_{1}\	PROPN
bracis-19050	77	55	)	)	PUNCT
bracis-19050	77	56	changes	change	NOUN
bracis-19050	77	57	in	in	ADP
bracis-19050	77	58	one	one	NUM
bracis-19050	77	59	unit	unit	NOUN
bracis-19050	77	60	.	.	PUNCT
bracis-19050	78	1	in	in	ADP
bracis-19050	78	2	other	other	ADJ
bracis-19050	78	3	words	word	NOUN
bracis-19050	78	4	,	,	PUNCT
bracis-19050	78	5	it	it	PRON
bracis-19050	78	6	is	be	AUX
bracis-19050	78	7	the	the	DET
bracis-19050	78	8	first	first	ADJ
bracis-19050	78	9	derivative	derivative	NOUN
bracis-19050	78	10	of	of	ADP
bracis-19050	78	11	\(\widehat{f}\left(x\right)\	\(\widehat{f}\left(x\right)\	NOUN
bracis-19050	78	12	)	)	PUNCT
bracis-19050	78	13	with	with	ADP
bracis-19050	78	14	respect	respect	NOUN
bracis-19050	78	15	to	to	ADP
bracis-19050	78	16	a	a	DET
bracis-19050	78	17	\({x}_{1}\	\({x}_{1}\	PROPN
bracis-19050	78	18	)	)	PUNCT
bracis-19050	78	19	at	at	ADP
bracis-19050	78	20	a	a	DET
bracis-19050	78	21	specified	specified	ADJ
bracis-19050	78	22	value	value	NOUN
bracis-19050	78	23	of	of	ADP
bracis-19050	78	24	the	the	DET
bracis-19050	78	25	input	input	NOUN
bracis-19050	78	26	space	space	NOUN
bracis-19050	78	27	.	.	PUNCT
bracis-19050	79	1	however	however	ADV
bracis-19050	79	2	,	,	PUNCT
bracis-19050	79	3	if	if	SCONJ
bracis-19050	79	4	\({x}_{1}\	\({x}_{1}\	PROPN
bracis-19050	79	5	)	)	PUNCT
bracis-19050	79	6	is	be	AUX
bracis-19050	79	7	discrete	discrete	ADJ
bracis-19050	79	8	or	or	CCONJ
bracis-19050	79	9	binary	binary	NOUN
bracis-19050	79	10	,	,	PUNCT
bracis-19050	79	11	the	the	DET
bracis-19050	79	12	computation	computation	NOUN
bracis-19050	79	13	is	be	AUX
bracis-19050	79	14	more	more	ADV
bracis-19050	79	15	straightforward	straightforward	ADJ
bracis-19050	79	16	,	,	PUNCT
bracis-19050	79	17	and	and	CCONJ
bracis-19050	79	18	the	the	DET
bracis-19050	79	19	finite	finite	ADJ
bracis-19050	79	20	difference	difference	NOUN
bracis-19050	79	21	is	be	AUX
bracis-19050	79	22	applied	apply	VERB
bracis-19050	79	23	,	,	PUNCT
bracis-19050	79	24	rather	rather	ADV
bracis-19050	79	25	than	than	ADP
bracis-19050	79	26	the	the	DET
bracis-19050	79	27	derivative	derivative	NOUN
bracis-19050	79	28	[	[	X
bracis-19050	79	29	4	4	NUM
bracis-19050	79	30	]	]	PUNCT
bracis-19050	79	31	.	.	PUNCT
bracis-19050	80	1	for	for	ADP
bracis-19050	80	2	linear	linear	ADJ
bracis-19050	80	3	and	and	CCONJ
bracis-19050	80	4	additive	additive	ADJ
bracis-19050	80	5	models	model	NOUN
bracis-19050	80	6	,	,	PUNCT
bracis-19050	80	7	mes	me	NOUN
bracis-19050	80	8	are	be	AUX
bracis-19050	80	9	constant	constant	ADJ
bracis-19050	80	10	across	across	ADP
bracis-19050	80	11	the	the	DET
bracis-19050	80	12	feature	feature	NOUN
bracis-19050	80	13	values	value	NOUN
bracis-19050	80	14	and	and	CCONJ
bracis-19050	80	15	are	be	AUX
bracis-19050	80	16	exactly	exactly	ADV
bracis-19050	80	17	the	the	DET
bracis-19050	80	18	same	same	ADJ
bracis-19050	80	19	as	as	ADP
bracis-19050	80	20	the	the	DET
bracis-19050	80	21	regression	regression	NOUN
bracis-19050	80	22	estimated	estimate	VERB
bracis-19050	80	23	slopes	slope	NOUN
bracis-19050	80	24	(	(	PUNCT
bracis-19050	80	25	coefficients	coefficient	NOUN
bracis-19050	80	26	)	)	PUNCT
bracis-19050	81	1	[	[	X
bracis-19050	81	2	14	14	NUM
bracis-19050	81	3	]	]	PUNCT
bracis-19050	81	4	.	.	PUNCT
bracis-19050	82	1	however	however	ADV
bracis-19050	82	2	,	,	PUNCT
bracis-19050	82	3	for	for	ADP
bracis-19050	82	4	glm	glm	NOUN
bracis-19050	82	5	models	model	NOUN
bracis-19050	82	6	mes	me	NOUN
bracis-19050	82	7	take	take	VERB
bracis-19050	82	8	different	different	ADJ
bracis-19050	82	9	values	value	NOUN
bracis-19050	82	10	across	across	ADP
bracis-19050	82	11	feature	feature	NOUN
bracis-19050	82	12	distribution	distribution	NOUN
bracis-19050	82	13	.	.	PUNCT
bracis-19050	83	1	for	for	ADP
bracis-19050	83	2	a	a	DET
bracis-19050	83	3	logistic	logistic	ADJ
bracis-19050	83	4	regression	regression	NOUN
bracis-19050	83	5	model	model	NOUN
bracis-19050	83	6	,	,	PUNCT
bracis-19050	83	7	mes	mes	PROPN
bracis-19050	83	8	reflects	reflect	VERB
bracis-19050	83	9	the	the	DET
bracis-19050	83	10	logit	logit	NOUN
bracis-19050	83	11	shape	shape	NOUN
bracis-19050	83	12	,	,	PUNCT
bracis-19050	83	13	and	and	CCONJ
bracis-19050	83	14	are	be	AUX
bracis-19050	83	15	small	small	ADJ
bracis-19050	83	16	when	when	SCONJ
bracis-19050	83	17	the	the	DET
bracis-19050	83	18	probability	probability	NOUN
bracis-19050	83	19	is	be	AUX
bracis-19050	83	20	close	close	ADJ
bracis-19050	83	21	to	to	ADP
bracis-19050	83	22	0	0	NUM
bracis-19050	83	23	or	or	CCONJ
bracis-19050	83	24	1	1	NUM
bracis-19050	83	25	and	and	CCONJ
bracis-19050	83	26	relatively	relatively	ADV
bracis-19050	83	27	large	large	ADJ
bracis-19050	83	28	when	when	SCONJ
bracis-19050	83	29	close	close	ADJ
bracis-19050	83	30	to	to	PART
bracis-19050	83	31	0.5	0.5	NUM
bracis-19050	84	1	[	[	SYM
bracis-19050	84	2	18	18	NUM
bracis-19050	84	3	]	]	PUNCT
bracis-19050	84	4	.	.	PUNCT
bracis-19050	85	1	thus	thus	ADV
bracis-19050	85	2	,	,	PUNCT
bracis-19050	85	3	to	to	PART
bracis-19050	85	4	summarize	summarize	VERB
bracis-19050	85	5	the	the	DET
bracis-19050	85	6	mes	me	NOUN
bracis-19050	85	7	of	of	ADP
bracis-19050	85	8	\({x}_{1}\	\({x}_{1}\	PROPN
bracis-19050	85	9	)	)	PUNCT
bracis-19050	85	10	the	the	DET
bracis-19050	85	11	average	average	NOUN
bracis-19050	85	12	of	of	ADP
bracis-19050	85	13	all	all	DET
bracis-19050	85	14	mes	me	NOUN
bracis-19050	85	15	(	(	PUNCT
bracis-19050	85	16	ames	ame	NOUN
bracis-19050	85	17	)	)	PUNCT
bracis-19050	85	18	is	be	AUX
bracis-19050	85	19	commonly	commonly	ADV
bracis-19050	85	20	used	use	VERB
bracis-19050	85	21	[	[	PUNCT
bracis-19050	85	22	14	14	NUM
bracis-19050	85	23	]	]	PUNCT
bracis-19050	85	24	.	.	PUNCT
bracis-19050	86	1	moreover	moreover	ADV
bracis-19050	86	2	,	,	PUNCT
bracis-19050	86	3	there	there	PRON
bracis-19050	86	4	are	be	VERB
bracis-19050	86	5	other	other	ADJ
bracis-19050	86	6	alternatives	alternative	NOUN
bracis-19050	86	7	that	that	PRON
bracis-19050	86	8	may	may	AUX
bracis-19050	86	9	be	be	AUX
bracis-19050	86	10	more	more	ADV
bracis-19050	86	11	suitable	suitable	ADJ
bracis-19050	86	12	depending	depend	VERB
bracis-19050	86	13	on	on	ADP
bracis-19050	86	14	the	the	DET
bracis-19050	86	15	researcher	researcher	NOUN
bracis-19050	86	16	’s	’s	PART
bracis-19050	86	17	questions	question	NOUN
bracis-19050	86	18	.	.	PUNCT
bracis-19050	87	1	summary	summary	NOUN
bracis-19050	87	2	metrics	metric	NOUN
bracis-19050	87	3	of	of	ADP
bracis-19050	87	4	me	i	PRON
bracis-19050	87	5	average	average	ADJ
bracis-19050	87	6	marginal	marginal	ADJ
bracis-19050	87	7	effects	effect	NOUN
bracis-19050	87	8	(	(	PUNCT
bracis-19050	87	9	ames	ame	NOUN
bracis-19050	87	10	)	)	PUNCT
bracis-19050	87	11	are	be	AUX
bracis-19050	87	12	how	how	SCONJ
bracis-19050	87	13	much	much	ADJ
bracis-19050	87	14	the	the	DET
bracis-19050	87	15	outcome	outcome	NOUN
bracis-19050	87	16	y	y	PROPN
bracis-19050	87	17	changes	change	VERB
bracis-19050	87	18	on	on	ADP
bracis-19050	87	19	average	average	ADJ
bracis-19050	87	20	when	when	SCONJ
bracis-19050	87	21	\({x}_{1}\	\({x}_{1}\	PROPN
bracis-19050	87	22	)	)	PUNCT
bracis-19050	87	23	varies	vary	VERB
bracis-19050	87	24	in	in	ADP
bracis-19050	87	25	small	small	ADJ
bracis-19050	87	26	changes	change	NOUN
bracis-19050	87	27	.	.	PUNCT
bracis-19050	88	1	thus	thus	ADV
bracis-19050	88	2	,	,	PUNCT
bracis-19050	88	3	the	the	DET
bracis-19050	88	4	derivative	derivative	NOUN
bracis-19050	88	5	is	be	AUX
bracis-19050	88	6	computed	compute	VERB
bracis-19050	88	7	for	for	ADP
bracis-19050	88	8	every	every	DET
bracis-19050	88	9	small	small	ADJ
bracis-19050	88	10	change	change	NOUN
bracis-19050	88	11	on	on	ADP
bracis-19050	88	12	\({x}_{1}\	\({x}_{1}\	PROPN
bracis-19050	88	13	)	)	PUNCT
bracis-19050	88	14	for	for	ADP
bracis-19050	88	15	every	every	DET
bracis-19050	88	16	data	data	NOUN
bracis-19050	88	17	point	point	NOUN
bracis-19050	88	18	and	and	CCONJ
bracis-19050	88	19	averaged	average	VERB
bracis-19050	88	20	.	.	PUNCT
bracis-19050	89	1	in	in	ADP
bracis-19050	89	2	practice	practice	NOUN
bracis-19050	89	3	,	,	PUNCT
bracis-19050	89	4	the	the	DET
bracis-19050	89	5	numerical	numerical	ADJ
bracis-19050	89	6	derivative	derivative	NOUN
bracis-19050	89	7	is	be	AUX
bracis-19050	89	8	implemented	implement	VERB
bracis-19050	89	9	across	across	ADP
bracis-19050	89	10	the	the	DET
bracis-19050	89	11	observed	observed	ADJ
bracis-19050	89	12	values	value	NOUN
bracis-19050	89	13	of	of	ADP
bracis-19050	89	14	\({x}_{1}\	\({x}_{1}\	PROPN
bracis-19050	89	15	)	)	PUNCT
bracis-19050	89	16	.	.	PUNCT
bracis-19050	90	1	a	a	DET
bracis-19050	90	2	step	step	NOUN
bracis-19050	90	3	\((h)\	\((h)\	PROPN
bracis-19050	90	4	)	)	PUNCT
bracis-19050	90	5	is	be	AUX
bracis-19050	90	6	defined	define	VERB
bracis-19050	90	7	for	for	ADP
bracis-19050	90	8	continuous	continuous	ADJ
bracis-19050	90	9	features	feature	NOUN
bracis-19050	90	10	,	,	PUNCT
bracis-19050	90	11	and	and	CCONJ
bracis-19050	90	12	the	the	DET
bracis-19050	90	13	mes	me	NOUN
bracis-19050	90	14	become	become	VERB
bracis-19050	90	15	close	close	ADJ
bracis-19050	90	16	to	to	ADP
bracis-19050	90	17	their	their	PRON
bracis-19050	90	18	theoretical	theoretical	ADJ
bracis-19050	90	19	value	value	NOUN
bracis-19050	90	20	on	on	ADP
bracis-19050	90	21	the	the	DET
bracis-19050	90	22	limit	limit	NOUN
bracis-19050	90	23	,	,	PUNCT
bracis-19050	90	24	as	as	SCONJ
bracis-19050	90	25	h	h	NOUN
bracis-19050	90	26	tends	tend	VERB
bracis-19050	90	27	to	to	ADP
bracis-19050	90	28	0	0	NUM
bracis-19050	90	29	.	.	PUNCT
bracis-19050	91	1	the	the	DET
bracis-19050	91	2	equations	equation	NOUN
bracis-19050	91	3	below	below	AUX
bracis-19050	91	4	demonstrate	demonstrate	VERB
bracis-19050	91	5	this	this	PRON
bracis-19050	91	6	beyond	beyond	ADP
bracis-19050	91	7	the	the	DET
bracis-19050	91	8	simplified	simplified	ADJ
bracis-19050	91	9	computation	computation	NOUN
bracis-19050	91	10	of	of	ADP
bracis-19050	91	11	ames	ame	NOUN
bracis-19050	91	12	.	.	PUNCT
bracis-19050	92	1	$	$	SYM
bracis-19050	92	2	$	$	SYM
bracis-19050	92	3	me=\widehat{f}\left(x\right)=\underset{h\to	me=\widehat{f}\left(x\right)=\underset{h\to	PROPN
bracis-19050	92	4	0}{\mathrm{lim}}{\left(\frac{f\left(x+h\right)-f\left(x\right)}{h}\right)}$$	0}{\mathrm{lim}}{\left(\frac{f\left(x+h\right)-f\left(x\right)}{h}\right)}$$	PROPN
bracis-19050	92	5	(	(	PUNCT
bracis-19050	92	6	1	1	NUM
bracis-19050	92	7	)	)	PUNCT
bracis-19050	92	8	$	$	SYM
bracis-19050	92	9	$	$	SYM
bracis-19050	92	10	ames	ame	NOUN
bracis-19050	92	11	=	=	SYM
bracis-19050	92	12	\frac{1}{n}\sum_{i	\frac{1}{n}\sum_{i	PROPN
bracis-19050	92	13	=	=	SYM
bracis-19050	92	14	1}^{n}{me}_{i}$$	1}^{n}{me}_{i}$$	NUM
bracis-19050	92	15	marginal	marginal	ADJ
bracis-19050	92	16	effect	effect	NOUN
bracis-19050	92	17	at	at	ADP
bracis-19050	92	18	the	the	DET
bracis-19050	92	19	mean	mean	NOUN
bracis-19050	92	20	(	(	PUNCT
bracis-19050	92	21	mem	mem	X
bracis-19050	92	22	)	)	PUNCT
bracis-19050	92	23	is	be	AUX
bracis-19050	92	24	simply	simply	ADV
bracis-19050	92	25	the	the	DET
bracis-19050	92	26	computation	computation	NOUN
bracis-19050	92	27	of	of	ADP
bracis-19050	92	28	the	the	DET
bracis-19050	92	29	mes	me	NOUN
bracis-19050	92	30	around	around	ADP
bracis-19050	92	31	the	the	DET
bracis-19050	92	32	mean	mean	NOUN
bracis-19050	92	33	of	of	ADP
bracis-19050	92	34	the	the	DET
bracis-19050	92	35	feature	feature	NOUN
bracis-19050	92	36	distribution	distribution	NOUN
bracis-19050	92	37	.	.	PUNCT
bracis-19050	93	1	in	in	ADP
bracis-19050	93	2	practice	practice	NOUN
bracis-19050	93	3	,	,	PUNCT
bracis-19050	93	4	mem	mem	PROPN
bracis-19050	93	5	is	be	AUX
bracis-19050	93	6	close	close	ADJ
bracis-19050	93	7	to	to	ADP
bracis-19050	93	8	the	the	DET
bracis-19050	93	9	ame	ame	PROPN
bracis-19050	93	10	if	if	SCONJ
bracis-19050	93	11	\(\widehat{f}\left(x\right)\	\(\widehat{f}\left(x\right)\	NOUN
bracis-19050	93	12	)	)	PUNCT
bracis-19050	93	13	is	be	AUX
bracis-19050	93	14	not	not	PART
bracis-19050	93	15	too	too	ADV
bracis-19050	93	16	noisy	noisy	ADJ
bracis-19050	93	17	and	and	CCONJ
bracis-19050	93	18	more	more	ADV
bracis-19050	93	19	feasible	feasible	ADJ
bracis-19050	93	20	to	to	PART
bracis-19050	93	21	compute	compute	VERB
bracis-19050	93	22	,	,	PUNCT
bracis-19050	93	23	since	since	SCONJ
bracis-19050	93	24	evaluating	evaluate	VERB
bracis-19050	93	25	the	the	DET
bracis-19050	93	26	derivatives	derivative	NOUN
bracis-19050	93	27	at	at	ADP
bracis-19050	93	28	the	the	DET
bracis-19050	93	29	means	means	NOUN
bracis-19050	93	30	is	be	AUX
bracis-19050	93	31	easier	easy	ADJ
bracis-19050	93	32	than	than	ADP
bracis-19050	93	33	taking	take	VERB
bracis-19050	93	34	the	the	DET
bracis-19050	93	35	mean	mean	NOUN
bracis-19050	93	36	of	of	ADP
bracis-19050	93	37	each	each	DET
bracis-19050	93	38	derivative	derivative	NOUN
bracis-19050	94	1	[	[	X
bracis-19050	94	2	19	19	NUM
bracis-19050	94	3	]	]	PUNCT
bracis-19050	94	4	.	.	PUNCT
bracis-19050	95	1	marginal	marginal	ADJ
bracis-19050	95	2	effect	effect	NOUN
bracis-19050	95	3	at	at	ADP
bracis-19050	95	4	the	the	DET
bracis-19050	95	5	representative	representative	ADJ
bracis-19050	95	6	value	value	NOUN
bracis-19050	95	7	(	(	PUNCT
bracis-19050	95	8	mer	mer	X
bracis-19050	95	9	)	)	PUNCT
bracis-19050	95	10	is	be	AUX
bracis-19050	95	11	a	a	DET
bracis-19050	95	12	simplification	simplification	NOUN
bracis-19050	95	13	of	of	ADP
bracis-19050	95	14	mem	mem	ADJ
bracis-19050	95	15	calculation	calculation	NOUN
bracis-19050	95	16	for	for	ADP
bracis-19050	95	17	a	a	DET
bracis-19050	95	18	value	value	NOUN
bracis-19050	95	19	that	that	PRON
bracis-19050	95	20	could	could	AUX
bracis-19050	95	21	be	be	AUX
bracis-19050	95	22	an	an	DET
bracis-19050	95	23	interesting	interesting	ADJ
bracis-19050	95	24	operation	operation	NOUN
bracis-19050	95	25	point	point	NOUN
bracis-19050	95	26	for	for	ADP
bracis-19050	95	27	the	the	DET
bracis-19050	95	28	research	research	NOUN
bracis-19050	95	29	domain	domain	NOUN
bracis-19050	95	30	.	.	PUNCT
bracis-19050	96	1	the	the	DET
bracis-19050	96	2	marginal	marginal	ADJ
bracis-19050	96	3	effect	effect	NOUN
bracis-19050	96	4	is	be	AUX
bracis-19050	96	5	calculated	calculate	VERB
bracis-19050	96	6	for	for	ADP
bracis-19050	96	7	each	each	DET
bracis-19050	96	8	variable	variable	NOUN
bracis-19050	96	9	at	at	ADP
bracis-19050	96	10	a	a	DET
bracis-19050	96	11	particular	particular	ADJ
bracis-19050	96	12	combination	combination	NOUN
bracis-19050	96	13	of	of	ADP
bracis-19050	96	14	\(x\	\(x\	ADJ
bracis-19050	96	15	)	)	PUNCT
bracis-19050	96	16	values	value	NOUN
bracis-19050	96	17	.	.	PUNCT
bracis-19050	97	1	thus	thus	ADV
bracis-19050	97	2	,	,	PUNCT
bracis-19050	97	3	mer	mer	PROPN
bracis-19050	97	4	provides	provide	VERB
bracis-19050	97	5	a	a	DET
bracis-19050	97	6	means	mean	NOUN
bracis-19050	97	7	to	to	PART
bracis-19050	97	8	understand	understand	VERB
bracis-19050	97	9	and	and	CCONJ
bracis-19050	97	10	communicate	communicate	VERB
bracis-19050	97	11	model	model	NOUN
bracis-19050	97	12	estimates	estimate	NOUN
bracis-19050	97	13	at	at	ADP
bracis-19050	97	14	theoretically	theoretically	ADV
bracis-19050	97	15	important	important	ADJ
bracis-19050	97	16	combinations	combination	NOUN
bracis-19050	97	17	of	of	ADP
bracis-19050	97	18	feature	feature	NOUN
bracis-19050	97	19	values	value	NOUN
bracis-19050	97	20	[	[	X
bracis-19050	97	21	20	20	NUM
bracis-19050	97	22	]	]	PUNCT
bracis-19050	97	23	.	.	PUNCT
bracis-19050	98	1	these	these	DET
bracis-19050	98	2	metrics	metric	NOUN
bracis-19050	98	3	were	be	AUX
bracis-19050	98	4	essential	essential	ADJ
bracis-19050	98	5	to	to	PART
bracis-19050	98	6	shed	shed	VERB
bracis-19050	98	7	light	light	NOUN
bracis-19050	98	8	on	on	ADP
bracis-19050	98	9	those	those	PRON
bracis-19050	98	10	proposed	propose	VERB
bracis-19050	98	11	in	in	ADP
bracis-19050	98	12	this	this	DET
bracis-19050	98	13	paper	paper	NOUN
bracis-19050	98	14	since	since	SCONJ
bracis-19050	98	15	they	they	PRON
bracis-19050	98	16	are	be	AUX
bracis-19050	98	17	based	base	VERB
bracis-19050	98	18	on	on	ADP
bracis-19050	98	19	solid	solid	ADJ
bracis-19050	98	20	statistical	statistical	ADJ
bracis-19050	98	21	theory	theory	NOUN
bracis-19050	98	22	[	[	X
bracis-19050	98	23	14	14	NUM
bracis-19050	98	24	]	]	PUNCT
bracis-19050	98	25	.	.	PUNCT
bracis-19050	99	1	in	in	ADP
bracis-19050	99	2	addition	addition	NOUN
bracis-19050	99	3	to	to	ADP
bracis-19050	99	4	xai	xai	PROPN
bracis-19050	99	5	advances	advance	NOUN
bracis-19050	99	6	,	,	PUNCT
bracis-19050	99	7	it	it	PRON
bracis-19050	99	8	is	be	AUX
bracis-19050	99	9	possible	possible	ADJ
bracis-19050	99	10	to	to	PART
bracis-19050	99	11	report	report	VERB
bracis-19050	99	12	a	a	DET
bracis-19050	99	13	less	less	ADV
bracis-19050	99	14	-	-	PUNCT
bracis-19050	99	15	biased	biased	ADJ
bracis-19050	99	16	feature	feature	NOUN
bracis-19050	99	17	effect	effect	NOUN
bracis-19050	99	18	which	which	PRON
bracis-19050	99	19	could	could	AUX
bracis-19050	99	20	play	play	VERB
bracis-19050	99	21	an	an	DET
bracis-19050	99	22	important	important	ADJ
bracis-19050	99	23	role	role	NOUN
bracis-19050	99	24	for	for	ADP
bracis-19050	99	25	ml	ml	NOUN
bracis-19050	99	26	applied	applied	ADJ
bracis-19050	99	27	researchers	researcher	NOUN
bracis-19050	99	28	.	.	PUNCT
bracis-19050	100	1	2.3	2.3	NUM
bracis-19050	100	2	marginal	marginal	ADJ
bracis-19050	100	3	local	local	ADJ
bracis-19050	100	4	effects	effect	NOUN
bracis-19050	100	5	the	the	DET
bracis-19050	100	6	concept	concept	NOUN
bracis-19050	100	7	of	of	ADP
bracis-19050	100	8	local	local	ADJ
bracis-19050	100	9	effects	effect	NOUN
bracis-19050	100	10	was	be	AUX
bracis-19050	100	11	brought	bring	VERB
bracis-19050	100	12	in	in	ADP
bracis-19050	100	13	[	[	X
bracis-19050	100	14	21	21	NUM
bracis-19050	100	15	]	]	PUNCT
bracis-19050	100	16	and	and	CCONJ
bracis-19050	100	17	is	be	AUX
bracis-19050	100	18	a	a	DET
bracis-19050	100	19	fundamental	fundamental	ADJ
bracis-19050	100	20	part	part	NOUN
bracis-19050	100	21	of	of	ADP
bracis-19050	100	22	their	their	PRON
bracis-19050	100	23	accumulated	accumulate	VERB
bracis-19050	100	24	local	local	ADJ
bracis-19050	100	25	effects	effect	NOUN
bracis-19050	100	26	(	(	PUNCT
bracis-19050	100	27	ales	ale	NOUN
bracis-19050	100	28	)	)	PUNCT
bracis-19050	100	29	plots	plot	NOUN
bracis-19050	100	30	.	.	PUNCT
bracis-19050	101	1	ale	ale	NOUN
bracis-19050	101	2	plots	plot	NOUN
bracis-19050	101	3	were	be	AUX
bracis-19050	101	4	presented	present	VERB
bracis-19050	101	5	as	as	ADP
bracis-19050	101	6	an	an	DET
bracis-19050	101	7	alternative	alternative	NOUN
bracis-19050	101	8	for	for	ADP
bracis-19050	101	9	visualizing	visualize	VERB
bracis-19050	101	10	the	the	DET
bracis-19050	101	11	effects	effect	NOUN
bracis-19050	101	12	of	of	ADP
bracis-19050	101	13	features	feature	NOUN
bracis-19050	101	14	in	in	ADP
bracis-19050	101	15	black	black	ADJ
bracis-19050	101	16	-	-	PUNCT
bracis-19050	101	17	box	box	NOUN
bracis-19050	101	18	supervised	supervised	ADJ
bracis-19050	101	19	learning	learning	NOUN
bracis-19050	101	20	models	model	NOUN
bracis-19050	101	21	instead	instead	ADV
bracis-19050	101	22	of	of	ADP
bracis-19050	101	23	partial	partial	ADJ
bracis-19050	101	24	dependence	dependence	NOUN
bracis-19050	101	25	plots	plot	NOUN
bracis-19050	101	26	(	(	PUNCT
bracis-19050	101	27	pdps	pdps	NOUN
bracis-19050	101	28	)	)	PUNCT
bracis-19050	101	29	.	.	PUNCT
bracis-19050	102	1	the	the	DET
bracis-19050	102	2	pdps	pdps	NOUN
bracis-19050	102	3	,	,	PUNCT
bracis-19050	102	4	introduced	introduce	VERB
bracis-19050	102	5	by	by	ADP
bracis-19050	102	6	friedman	friedman	PROPN
bracis-19050	102	7	[	[	X
bracis-19050	102	8	22	22	NUM
bracis-19050	102	9	]	]	PUNCT
bracis-19050	102	10	,	,	PUNCT
bracis-19050	102	11	are	be	AUX
bracis-19050	102	12	widely	widely	ADV
bracis-19050	102	13	used	use	VERB
bracis-19050	102	14	to	to	PART
bracis-19050	102	15	visualize	visualize	VERB
bracis-19050	102	16	the	the	DET
bracis-19050	102	17	influence	influence	NOUN
bracis-19050	102	18	of	of	ADP
bracis-19050	102	19	features	feature	NOUN
bracis-19050	102	20	in	in	ADP
bracis-19050	102	21	supervised	supervised	ADJ
bracis-19050	102	22	ml	ml	NOUN
bracis-19050	102	23	models	model	NOUN
bracis-19050	102	24	,	,	PUNCT
bracis-19050	102	25	and	and	CCONJ
bracis-19050	102	26	have	have	AUX
bracis-19050	102	27	even	even	ADV
bracis-19050	102	28	been	be	AUX
bracis-19050	102	29	considered	consider	VERB
bracis-19050	102	30	a	a	DET
bracis-19050	102	31	causal	causal	ADJ
bracis-19050	102	32	interpreter	interpreter	NOUN
bracis-19050	102	33	for	for	ADP
bracis-19050	102	34	black	black	ADJ
bracis-19050	102	35	-	-	PUNCT
bracis-19050	102	36	box	box	NOUN
bracis-19050	102	37	models	model	NOUN
bracis-19050	102	38	[	[	X
bracis-19050	102	39	23	23	NUM
bracis-19050	102	40	]	]	PUNCT
bracis-19050	102	41	.	.	PUNCT
bracis-19050	103	1	for	for	ADP
bracis-19050	103	2	a	a	DET
bracis-19050	103	3	prediction	prediction	NOUN
bracis-19050	103	4	function	function	NOUN
bracis-19050	103	5	\(\widehat{y}=\widehat{f}\left(x\right)\	\(\widehat{y}=\widehat{f}\left(x\right)\	NUM
bracis-19050	103	6	)	)	PUNCT
bracis-19050	103	7	,	,	PUNCT
bracis-19050	103	8	where	where	SCONJ
bracis-19050	103	9	\(\widehat{y}\	\(\widehat{y}\	NOUN
bracis-19050	103	10	)	)	PUNCT
bracis-19050	103	11	is	be	AUX
bracis-19050	103	12	a	a	DET
bracis-19050	103	13	scalar	scalar	ADJ
bracis-19050	103	14	response	response	NOUN
bracis-19050	103	15	variable	variable	NOUN
bracis-19050	103	16	and	and	CCONJ
bracis-19050	103	17	x	x	VERB
bracis-19050	103	18	 	 	SPACE
bracis-19050	103	19	=	=	NOUN
bracis-19050	103	20	 	 	SPACE
bracis-19050	103	21	(	(	PUNCT
bracis-19050	103	22	\({x}_{1}\	\({x}_{1}\	PROPN
bracis-19050	103	23	)	)	PUNCT
bracis-19050	103	24	,	,	PUNCT
bracis-19050	103	25	\({x}_{2}\	\({x}_{2}\	PROPN
bracis-19050	103	26	)	)	PUNCT
bracis-19050	103	27	)	)	PUNCT
bracis-19050	103	28	,	,	PUNCT
bracis-19050	103	29	pdps	pdps	NOUN
bracis-19050	103	30	illustrate	illustrate	VERB
bracis-19050	103	31	the	the	DET
bracis-19050	103	32	relationship	relationship	NOUN
bracis-19050	103	33	between	between	ADP
bracis-19050	103	34	\({x}_{1}\	\({x}_{1}\	PROPN
bracis-19050	103	35	)	)	PUNCT
bracis-19050	103	36	and	and	CCONJ
bracis-19050	103	37	the	the	DET
bracis-19050	103	38	outcome	outcome	NOUN
bracis-19050	103	39	,	,	PUNCT
bracis-19050	103	40	marginalizing	marginalize	VERB
bracis-19050	103	41	\(\widehat{f}\left(x\right)\	\(\widehat{f}\left(x\right)\	NOUN
bracis-19050	103	42	)	)	PUNCT
bracis-19050	103	43	over	over	ADP
bracis-19050	103	44	the	the	DET
bracis-19050	103	45	distribution	distribution	NOUN
bracis-19050	103	46	of	of	ADP
bracis-19050	103	47	\({x}_{2}\	\({x}_{2}\	NOUN
bracis-19050	103	48	)	)	PUNCT
bracis-19050	103	49	.	.	PUNCT
bracis-19050	104	1	hence	hence	ADV
bracis-19050	104	2	,	,	PUNCT
bracis-19050	104	3	the	the	DET
bracis-19050	104	4	pdps	pdps	NOUN
bracis-19050	104	5	function	function	NOUN
bracis-19050	104	6	at	at	ADP
bracis-19050	104	7	a	a	DET
bracis-19050	104	8	particular	particular	ADJ
bracis-19050	104	9	value	value	NOUN
bracis-19050	104	10	of	of	ADP
bracis-19050	104	11	\({x}_{1}\	\({x}_{1}\	PROPN
bracis-19050	104	12	)	)	PUNCT
bracis-19050	104	13	represent	represent	VERB
bracis-19050	104	14	the	the	DET
bracis-19050	104	15	average	average	ADJ
bracis-19050	104	16	prediction	prediction	NOUN
bracis-19050	104	17	from	from	ADP
bracis-19050	104	18	\(\widehat{f}\left(x\right)\	\(\widehat{f}\left(x\right)\	NOUN
bracis-19050	104	19	)	)	PUNCT
bracis-19050	104	20	if	if	SCONJ
bracis-19050	104	21	all	all	DET
bracis-19050	104	22	data	datum	NOUN
bracis-19050	104	23	points	point	NOUN
bracis-19050	104	24	take	take	VERB
bracis-19050	104	25	that	that	DET
bracis-19050	104	26	value	value	NOUN
bracis-19050	104	27	for	for	ADP
bracis-19050	104	28	\({x}_{1}\	\({x}_{1}\	PROPN
bracis-19050	104	29	)	)	PUNCT
bracis-19050	104	30	.	.	PUNCT
bracis-19050	105	1	this	this	DET
bracis-19050	105	2	process	process	NOUN
bracis-19050	105	3	takes	take	VERB
bracis-19050	105	4	into	into	ADP
bracis-19050	105	5	account	account	NOUN
bracis-19050	105	6	unlikely	unlikely	ADJ
bracis-19050	105	7	combinations	combination	NOUN
bracis-19050	105	8	of	of	ADP
bracis-19050	105	9	x	x	PRON
bracis-19050	105	10	,	,	PUNCT
bracis-19050	105	11	building	build	VERB
bracis-19050	105	12	unrealistic	unrealistic	ADJ
bracis-19050	105	13	plots	plot	NOUN
bracis-19050	105	14	when	when	SCONJ
bracis-19050	105	15	data	datum	NOUN
bracis-19050	105	16	are	be	AUX
bracis-19050	105	17	dependent	dependent	ADJ
bracis-19050	105	18	.	.	PUNCT
bracis-19050	106	1	as	as	ADP
bracis-19050	106	2	with	with	ADP
bracis-19050	106	3	mes	me	NOUN
bracis-19050	106	4	,	,	PUNCT
bracis-19050	106	5	ales	ale	NOUN
bracis-19050	106	6	use	use	VERB
bracis-19050	106	7	the	the	DET
bracis-19050	106	8	conditional	conditional	ADJ
bracis-19050	106	9	instead	instead	ADV
bracis-19050	106	10	of	of	ADP
bracis-19050	106	11	marginal	marginal	ADJ
bracis-19050	106	12	distribution	distribution	NOUN
bracis-19050	106	13	.	.	PUNCT
bracis-19050	107	1	thus	thus	ADV
bracis-19050	107	2	,	,	PUNCT
bracis-19050	107	3	to	to	PART
bracis-19050	107	4	overcome	overcome	VERB
bracis-19050	107	5	the	the	DET
bracis-19050	107	6	intrinsic	intrinsic	ADJ
bracis-19050	107	7	problems	problem	NOUN
bracis-19050	107	8	of	of	ADP
bracis-19050	107	9	mes	me	NOUN
bracis-19050	107	10	,	,	PUNCT
bracis-19050	107	11	as	as	SCONJ
bracis-19050	107	12	mentioned	mention	VERB
bracis-19050	107	13	in	in	ADP
bracis-19050	107	14	subsect	subsect	NOUN
bracis-19050	107	15	.	.	PUNCT
bracis-19050	108	1	2.2	2.2	NUM
bracis-19050	108	2	,	,	PUNCT
bracis-19050	108	3	ales	ale	NOUN
bracis-19050	108	4	use	use	VERB
bracis-19050	108	5	the	the	DET
bracis-19050	108	6	averaged	average	VERB
bracis-19050	108	7	differences	difference	NOUN
bracis-19050	108	8	in	in	ADP
bracis-19050	108	9	\(\widehat{f}\left(x\right)\	\(\widehat{f}\left(x\right)\	NOUN
bracis-19050	108	10	)	)	PUNCT
bracis-19050	108	11	across	across	ADP
bracis-19050	108	12	intervals	interval	NOUN
bracis-19050	108	13	of	of	ADP
bracis-19050	108	14	the	the	DET
bracis-19050	108	15	training	training	NOUN
bracis-19050	108	16	data	datum	NOUN
bracis-19050	108	17	(	(	PUNCT
bracis-19050	108	18	local	local	ADJ
bracis-19050	108	19	effect	effect	NOUN
bracis-19050	108	20	)	)	PUNCT
bracis-19050	108	21	.	.	PUNCT
bracis-19050	109	1	this	this	DET
bracis-19050	109	2	hack	hack	NOUN
bracis-19050	109	3	allows	allow	VERB
bracis-19050	109	4	the	the	DET
bracis-19050	109	5	extraction	extraction	NOUN
bracis-19050	109	6	of	of	ADP
bracis-19050	109	7	isolated	isolated	ADJ
bracis-19050	109	8	effects	effect	NOUN
bracis-19050	109	9	of	of	ADP
bracis-19050	109	10	features	feature	NOUN
bracis-19050	109	11	within	within	ADP
bracis-19050	109	12	the	the	DET
bracis-19050	109	13	intervals	interval	NOUN
bracis-19050	109	14	.	.	PUNCT
bracis-19050	110	1	lastly	lastly	ADV
bracis-19050	110	2	,	,	PUNCT
bracis-19050	110	3	it	it	PRON
bracis-19050	110	4	accumulates	accumulate	VERB
bracis-19050	110	5	this	this	DET
bracis-19050	110	6	averaged	average	VERB
bracis-19050	110	7	local	local	ADJ
bracis-19050	110	8	effect	effect	NOUN
bracis-19050	110	9	and	and	CCONJ
bracis-19050	110	10	center	center	NOUN
bracis-19050	110	11	subtracting	subtract	VERB
bracis-19050	110	12	the	the	DET
bracis-19050	110	13	mean	mean	NOUN
bracis-19050	110	14	using	use	VERB
bracis-19050	110	15	the	the	DET
bracis-19050	110	16	equations	equation	NOUN
bracis-19050	110	17	below	below	ADP
bracis-19050	110	18	.	.	PUNCT
bracis-19050	111	1	(	(	PUNCT
bracis-19050	111	2	2	2	X
bracis-19050	111	3	)	)	PUNCT
bracis-19050	111	4	(	(	PUNCT
bracis-19050	111	5	3	3	X
bracis-19050	111	6	)	)	PUNCT
bracis-19050	111	7	where	where	SCONJ
bracis-19050	111	8	\(k\	\(k\	NOUN
bracis-19050	111	9	)	)	PUNCT
bracis-19050	111	10	is	be	AUX
bracis-19050	111	11	the	the	DET
bracis-19050	111	12	interval	interval	NOUN
bracis-19050	111	13	of	of	ADP
bracis-19050	111	14	data	datum	NOUN
bracis-19050	111	15	and	and	CCONJ
bracis-19050	111	16	\({n}_{j}\)(\(k\	\({n}_{j}\)(\(k\	NOUN
bracis-19050	111	17	)	)	PUNCT
bracis-19050	111	18	)	)	PUNCT
bracis-19050	112	1	is	be	AUX
bracis-19050	112	2	the	the	DET
bracis-19050	112	3	neighborhood	neighborhood	NOUN
bracis-19050	112	4	.	.	PUNCT
bracis-19050	113	1	hence	hence	ADV
bracis-19050	113	2	,	,	PUNCT
bracis-19050	113	3	the	the	DET
bracis-19050	113	4	ale	ale	NOUN
bracis-19050	113	5	method	method	NOUN
bracis-19050	113	6	calculates	calculate	VERB
bracis-19050	113	7	the	the	DET
bracis-19050	113	8	differences	difference	NOUN
bracis-19050	113	9	in	in	ADP
bracis-19050	113	10	predictions	prediction	NOUN
bracis-19050	113	11	,	,	PUNCT
bracis-19050	113	12	whereby	whereby	SCONJ
bracis-19050	113	13	the	the	DET
bracis-19050	113	14	features	feature	NOUN
bracis-19050	113	15	of	of	ADP
bracis-19050	113	16	interest	interest	NOUN
bracis-19050	113	17	are	be	AUX
bracis-19050	113	18	replaced	replace	VERB
bracis-19050	113	19	by	by	ADP
bracis-19050	113	20	grid	grid	NOUN
bracis-19050	113	21	values	value	NOUN
bracis-19050	113	22	of	of	ADP
bracis-19050	113	23	\(z\	\(z\	PROPN
bracis-19050	113	24	)	)	PUNCT
bracis-19050	113	25	.	.	PUNCT
bracis-19050	114	1	the	the	DET
bracis-19050	114	2	difference	difference	NOUN
bracis-19050	114	3	in	in	ADP
bracis-19050	114	4	prediction	prediction	NOUN
bracis-19050	114	5	is	be	AUX
bracis-19050	114	6	the	the	DET
bracis-19050	114	7	effect	effect	NOUN
bracis-19050	114	8	that	that	PRON
bracis-19050	114	9	features	feature	VERB
bracis-19050	114	10	have	have	VERB
bracis-19050	114	11	for	for	ADP
bracis-19050	114	12	an	an	DET
bracis-19050	114	13	individual	individual	ADJ
bracis-19050	114	14	instance	instance	NOUN
bracis-19050	114	15	in	in	ADP
bracis-19050	114	16	a	a	DET
bracis-19050	114	17	specific	specific	ADJ
bracis-19050	114	18	interval	interval	NOUN
bracis-19050	114	19	.	.	PUNCT
bracis-19050	115	1	the	the	DET
bracis-19050	115	2	sum	sum	NOUN
bracis-19050	115	3	on	on	ADP
bracis-19050	115	4	the	the	DET
bracis-19050	115	5	right	right	NOUN
bracis-19050	115	6	in	in	ADP
bracis-19050	115	7	(	(	PUNCT
bracis-19050	115	8	2	2	X
bracis-19050	115	9	)	)	PUNCT
bracis-19050	115	10	adds	add	VERB
bracis-19050	115	11	up	up	ADP
bracis-19050	115	12	the	the	DET
bracis-19050	115	13	effects	effect	NOUN
bracis-19050	115	14	of	of	ADP
bracis-19050	115	15	all	all	DET
bracis-19050	115	16	instances	instance	NOUN
bracis-19050	115	17	,	,	PUNCT
bracis-19050	115	18	which	which	PRON
bracis-19050	115	19	is	be	AUX
bracis-19050	115	20	divided	divide	VERB
bracis-19050	115	21	by	by	ADP
bracis-19050	115	22	the	the	DET
bracis-19050	115	23	number	number	NOUN
bracis-19050	115	24	of	of	ADP
bracis-19050	115	25	instances	instance	NOUN
bracis-19050	115	26	in	in	ADP
bracis-19050	115	27	the	the	DET
bracis-19050	115	28	interval	interval	NOUN
bracis-19050	115	29	\(k\	\(k\	NOUN
bracis-19050	115	30	)	)	PUNCT
bracis-19050	115	31	to	to	PART
bracis-19050	115	32	produce	produce	VERB
bracis-19050	115	33	the	the	DET
bracis-19050	115	34	average	average	NOUN
bracis-19050	115	35	.	.	PUNCT
bracis-19050	116	1	finally	finally	ADV
bracis-19050	116	2	,	,	PUNCT
bracis-19050	116	3	the	the	DET
bracis-19050	116	4	ale	ale	NOUN
bracis-19050	116	5	is	be	AUX
bracis-19050	116	6	vertically	vertically	ADV
bracis-19050	116	7	centered	center	VERB
bracis-19050	116	8	(	(	PUNCT
bracis-19050	116	9	3	3	NUM
bracis-19050	116	10	)	)	PUNCT
bracis-19050	116	11	in	in	ADP
bracis-19050	116	12	the	the	DET
bracis-19050	116	13	sense	sense	NOUN
bracis-19050	116	14	that	that	SCONJ
bracis-19050	116	15	the	the	DET
bracis-19050	116	16	mean	mean	ADJ
bracis-19050	116	17	ales	ale	NOUN
bracis-19050	116	18	of	of	ADP
bracis-19050	116	19	\({x}_{j}\	\({x}_{j}\	NOUN
bracis-19050	116	20	)	)	PUNCT
bracis-19050	116	21	and	and	CCONJ
bracis-19050	116	22	\({x}_{l}\	\({x}_{l}\	NUM
bracis-19050	116	23	)	)	PUNCT
bracis-19050	116	24	on	on	ADP
bracis-19050	116	25	are	be	AUX
bracis-19050	116	26	both	both	DET
bracis-19050	116	27	zero	zero	NUM
bracis-19050	116	28	.	.	PUNCT
bracis-19050	117	1	figure	figure	NOUN
bracis-19050	117	2	 	 	SPACE
bracis-19050	117	3	1	1	NUM
bracis-19050	117	4	presents	present	VERB
bracis-19050	117	5	a	a	DET
bracis-19050	117	6	better	well	ADJ
bracis-19050	117	7	insight	insight	NOUN
bracis-19050	117	8	into	into	ADP
bracis-19050	117	9	the	the	DET
bracis-19050	117	10	computation	computation	NOUN
bracis-19050	117	11	of	of	ADP
bracis-19050	117	12	the	the	DET
bracis-19050	117	13	local	local	ADJ
bracis-19050	117	14	effect	effect	NOUN
bracis-19050	117	15	for	for	ADP
bracis-19050	117	16	the	the	DET
bracis-19050	117	17	function	function	NOUN
bracis-19050	117	18	\(\widehat{f}\left({x}_{1},{x}_{2}\right)\	\(\widehat{f}\left({x}_{1},{x}_{2}\right)\	NOUN
bracis-19050	117	19	)	)	PUNCT
bracis-19050	117	20	.	.	PUNCT
bracis-19050	118	1	the	the	DET
bracis-19050	118	2	feature	feature	NOUN
bracis-19050	118	3	range	range	NOUN
bracis-19050	118	4	of	of	ADP
bracis-19050	118	5	\({x}_{1}\	\({x}_{1}\	PROPN
bracis-19050	118	6	)	)	PUNCT
bracis-19050	118	7	was	be	AUX
bracis-19050	118	8	subdivided	subdivide	VERB
bracis-19050	118	9	into	into	ADP
bracis-19050	118	10	\(k\	\(k\	NOUN
bracis-19050	118	11	)	)	PUNCT
bracis-19050	118	12	bins	bin	NOUN
bracis-19050	118	13	with	with	ADP
bracis-19050	118	14	roughly	roughly	ADV
bracis-19050	118	15	the	the	DET
bracis-19050	118	16	same	same	ADJ
bracis-19050	118	17	number	number	NOUN
bracis-19050	118	18	of	of	ADP
bracis-19050	118	19	points	point	NOUN
bracis-19050	118	20	indexed	index	VERB
bracis-19050	118	21	by	by	ADP
bracis-19050	118	22	\(n(k).\	\(n(k).\	PROPN
bracis-19050	118	23	)	)	PUNCT
bracis-19050	118	24	focusing	focus	VERB
bracis-19050	118	25	on	on	ADP
bracis-19050	118	26	bin	bin	NOUN
bracis-19050	118	27	\(n(4)\	\(n(4)\	NOUN
bracis-19050	118	28	)	)	PUNCT
bracis-19050	118	29	,	,	PUNCT
bracis-19050	118	30	for	for	ADP
bracis-19050	118	31	each	each	DET
bracis-19050	118	32	point	point	NOUN
bracis-19050	118	33	falling	fall	VERB
bracis-19050	118	34	into	into	ADP
bracis-19050	118	35	this	this	DET
bracis-19050	118	36	bin	bin	NOUN
bracis-19050	118	37	,	,	PUNCT
bracis-19050	118	38	\(\widehat{f}\left({x}_{1},{x}_{2}\right)\	\(\widehat{f}\left({x}_{1},{x}_{2}\right)\	PUNCT
bracis-19050	118	39	)	)	PUNCT
bracis-19050	118	40	have	have	VERB
bracis-19050	118	41	their	their	PRON
bracis-19050	118	42	\({x}_{1}\	\({x}_{1}\	NOUN
bracis-19050	118	43	)	)	PUNCT
bracis-19050	118	44	held	hold	VERB
bracis-19050	118	45	by	by	ADP
bracis-19050	118	46	the	the	DET
bracis-19050	118	47	left	left	ADJ
bracis-19050	118	48	and	and	CCONJ
bracis-19050	118	49	right	right	ADJ
bracis-19050	118	50	endpoints	endpoint	NOUN
bracis-19050	118	51	of	of	ADP
bracis-19050	118	52	the	the	DET
bracis-19050	118	53	interval	interval	NOUN
bracis-19050	118	54	\({z}_{3}\	\({z}_{3}\	PROPN
bracis-19050	118	55	)	)	PUNCT
bracis-19050	118	56	and	and	CCONJ
bracis-19050	118	57	\({z}_{4}\	\({z}_{4}\	PROPN
bracis-19050	118	58	)	)	PUNCT
bracis-19050	118	59	.	.	PUNCT
bracis-19050	119	1	next	next	ADV
bracis-19050	119	2	,	,	PUNCT
bracis-19050	119	3	the	the	DET
bracis-19050	119	4	differences	difference	NOUN
bracis-19050	119	5	of	of	ADP
bracis-19050	119	6	the	the	DET
bracis-19050	119	7	predictions	prediction	NOUN
bracis-19050	119	8	of	of	ADP
bracis-19050	119	9	these	these	DET
bracis-19050	119	10	points	point	NOUN
bracis-19050	119	11	were	be	AUX
bracis-19050	119	12	averaged	average	VERB
bracis-19050	119	13	by	by	ADP
bracis-19050	119	14	dividing	divide	VERB
bracis-19050	119	15	their	their	PRON
bracis-19050	119	16	sum	sum	NOUN
bracis-19050	119	17	by	by	ADP
bracis-19050	119	18	the	the	DET
bracis-19050	119	19	number	number	NOUN
bracis-19050	119	20	of	of	ADP
bracis-19050	119	21	points	point	NOUN
bracis-19050	119	22	in	in	ADP
bracis-19050	119	23	\(n\left(4\right).\	\(n\left(4\right).\	PROPN
bracis-19050	119	24	)	)	PUNCT
bracis-19050	119	25	the	the	DET
bracis-19050	119	26	same	same	ADJ
bracis-19050	119	27	was	be	AUX
bracis-19050	119	28	carried	carry	VERB
bracis-19050	119	29	out	out	ADP
bracis-19050	119	30	for	for	ADP
bracis-19050	119	31	all	all	DET
bracis-19050	119	32	intervals	interval	NOUN
bracis-19050	119	33	and	and	CCONJ
bracis-19050	119	34	summed	sum	VERB
bracis-19050	119	35	up	up	ADP
bracis-19050	119	36	.	.	PUNCT
bracis-19050	120	1	finally	finally	ADV
bracis-19050	120	2	,	,	PUNCT
bracis-19050	120	3	the	the	DET
bracis-19050	120	4	expectation	expectation	NOUN
bracis-19050	120	5	over	over	ADP
bracis-19050	120	6	\(p\left({x}_{1}\right)\	\(p\left({x}_{1}\right)\	NOUN
bracis-19050	120	7	)	)	PUNCT
bracis-19050	120	8	was	be	AUX
bracis-19050	120	9	subtracted	subtract	VERB
bracis-19050	120	10	.	.	PUNCT
bracis-19050	121	1	fig	fig	NOUN
bracis-19050	121	2	.	.	PUNCT
bracis-19050	122	1	1	1	X
bracis-19050	122	2	.	.	X
bracis-19050	122	3	illustration	illustration	NOUN
bracis-19050	122	4	of	of	ADP
bracis-19050	122	5	the	the	DET
bracis-19050	122	6	ale	ale	NOUN
bracis-19050	122	7	estimation	estimation	NOUN
bracis-19050	122	8	.	.	PUNCT
bracis-19050	123	1	excerpt	excerpt	NOUN
bracis-19050	123	2	from	from	ADP
bracis-19050	123	3	[	[	X
bracis-19050	123	4	21	21	NUM
bracis-19050	123	5	]	]	X
bracis-19050	123	6	full	full	ADJ
bracis-19050	123	7	size	size	NOUN
bracis-19050	123	8	image	image	NOUN
bracis-19050	123	9	2.4	2.4	NUM
bracis-19050	123	10	summary	summary	NOUN
bracis-19050	123	11	of	of	ADP
bracis-19050	123	12	metrics	metric	NOUN
bracis-19050	123	13	for	for	ADP
bracis-19050	123	14	explainability	explainability	NOUN
bracis-19050	123	15	marginal	marginal	ADJ
bracis-19050	123	16	effects	effect	NOUN
bracis-19050	123	17	have	have	AUX
bracis-19050	123	18	been	be	AUX
bracis-19050	123	19	discussed	discuss	VERB
bracis-19050	123	20	in	in	ADP
bracis-19050	123	21	traditional	traditional	ADJ
bracis-19050	123	22	statistical	statistical	ADJ
bracis-19050	123	23	literature	literature	NOUN
bracis-19050	123	24	as	as	ADP
bracis-19050	123	25	an	an	DET
bracis-19050	123	26	alternative	alternative	NOUN
bracis-19050	123	27	for	for	ADP
bracis-19050	123	28	the	the	DET
bracis-19050	123	29	coefficients	coefficient	NOUN
bracis-19050	123	30	of	of	ADP
bracis-19050	123	31	the	the	DET
bracis-19050	123	32	glm	glm	PROPN
bracis-19050	123	33	models	model	NOUN
bracis-19050	123	34	due	due	ADP
bracis-19050	123	35	to	to	ADP
bracis-19050	123	36	their	their	PRON
bracis-19050	123	37	direct	direct	ADJ
bracis-19050	123	38	interpretability	interpretability	NOUN
bracis-19050	123	39	on	on	ADP
bracis-19050	123	40	the	the	DET
bracis-19050	123	41	probability	probability	NOUN
bracis-19050	123	42	scale	scale	NOUN
bracis-19050	123	43	.	.	PUNCT
bracis-19050	124	1	in	in	ADP
bracis-19050	124	2	addition	addition	NOUN
bracis-19050	124	3	,	,	PUNCT
bracis-19050	124	4	they	they	PRON
bracis-19050	124	5	are	be	AUX
bracis-19050	124	6	less	less	ADV
bracis-19050	124	7	sensitive	sensitive	ADJ
bracis-19050	124	8	to	to	ADP
bracis-19050	124	9	the	the	DET
bracis-19050	124	10	differences	difference	NOUN
bracis-19050	124	11	of	of	ADP
bracis-19050	124	12	data	datum	NOUN
bracis-19050	124	13	scale	scale	NOUN
bracis-19050	124	14	and	and	CCONJ
bracis-19050	124	15	unobserved	unobserved	ADJ
bracis-19050	124	16	heterogeneity	heterogeneity	NOUN
bracis-19050	124	17	than	than	ADP
bracis-19050	124	18	coefficients	coefficient	NOUN
bracis-19050	124	19	[	[	X
bracis-19050	124	20	10	10	NUM
bracis-19050	124	21	]	]	PUNCT
bracis-19050	124	22	.	.	PUNCT
bracis-19050	125	1	summary	summary	NOUN
bracis-19050	125	2	metrics	metric	NOUN
bracis-19050	125	3	of	of	ADP
bracis-19050	125	4	mes	me	NOUN
bracis-19050	125	5	use	use	VERB
bracis-19050	125	6	the	the	DET
bracis-19050	125	7	conditional	conditional	ADJ
bracis-19050	125	8	distribution	distribution	NOUN
bracis-19050	125	9	and	and	CCONJ
bracis-19050	125	10	are	be	AUX
bracis-19050	125	11	not	not	PART
bracis-19050	125	12	robust	robust	ADJ
bracis-19050	125	13	against	against	ADP
bracis-19050	125	14	correlated	correlate	VERB
bracis-19050	125	15	data	datum	NOUN
bracis-19050	125	16	.	.	PUNCT
bracis-19050	126	1	in	in	ADP
bracis-19050	126	2	the	the	DET
bracis-19050	126	3	field	field	NOUN
bracis-19050	126	4	of	of	ADP
bracis-19050	126	5	explainable	explainable	ADJ
bracis-19050	126	6	machine	machine	NOUN
bracis-19050	126	7	learning	learn	VERB
bracis-19050	126	8	field	field	NOUN
bracis-19050	126	9	,	,	PUNCT
bracis-19050	126	10	pdps	pdp	NOUN
bracis-19050	126	11	have	have	AUX
bracis-19050	126	12	been	be	AUX
bracis-19050	126	13	widely	widely	ADV
bracis-19050	126	14	used	use	VERB
bracis-19050	126	15	to	to	PART
bracis-19050	126	16	report	report	VERB
bracis-19050	126	17	the	the	DET
bracis-19050	126	18	feature	feature	NOUN
bracis-19050	126	19	effect	effect	NOUN
bracis-19050	126	20	.	.	PUNCT
bracis-19050	127	1	however	however	ADV
bracis-19050	127	2	,	,	PUNCT
bracis-19050	127	3	they	they	PRON
bracis-19050	127	4	extrapolated	extrapolate	VERB
bracis-19050	127	5	their	their	PRON
bracis-19050	127	6	results	result	NOUN
bracis-19050	127	7	when	when	SCONJ
bracis-19050	127	8	using	use	VERB
bracis-19050	127	9	the	the	DET
bracis-19050	127	10	density	density	NOUN
bracis-19050	127	11	function	function	NOUN
bracis-19050	127	12	and	and	CCONJ
bracis-19050	127	13	took	take	VERB
bracis-19050	127	14	into	into	ADP
bracis-19050	127	15	account	account	NOUN
bracis-19050	127	16	an	an	DET
bracis-19050	127	17	unreliable	unreliable	ADJ
bracis-19050	127	18	combination	combination	NOUN
bracis-19050	127	19	of	of	ADP
bracis-19050	127	20	data	datum	NOUN
bracis-19050	127	21	in	in	ADP
bracis-19050	127	22	their	their	PRON
bracis-19050	127	23	computation	computation	NOUN
bracis-19050	127	24	.	.	PUNCT
bracis-19050	128	1	ale	ale	NOUN
bracis-19050	128	2	plots	plot	NOUN
bracis-19050	128	3	recently	recently	ADV
bracis-19050	128	4	brought	bring	VERB
bracis-19050	128	5	the	the	DET
bracis-19050	128	6	new	new	ADJ
bracis-19050	128	7	concept	concept	NOUN
bracis-19050	128	8	of	of	ADP
bracis-19050	128	9	local	local	ADJ
bracis-19050	128	10	mes	me	NOUN
bracis-19050	128	11	and	and	CCONJ
bracis-19050	128	12	overcame	overcome	VERB
bracis-19050	128	13	both	both	CCONJ
bracis-19050	128	14	the	the	DET
bracis-19050	128	15	aforementioned	aforementioned	ADJ
bracis-19050	128	16	problems	problem	NOUN
bracis-19050	128	17	.	.	PUNCT
bracis-19050	129	1	thus	thus	ADV
bracis-19050	129	2	,	,	PUNCT
bracis-19050	129	3	this	this	DET
bracis-19050	129	4	paper	paper	NOUN
bracis-19050	129	5	claims	claim	VERB
bracis-19050	129	6	that	that	SCONJ
bracis-19050	129	7	the	the	DET
bracis-19050	129	8	ales	ale	NOUN
bracis-19050	129	9	theory	theory	NOUN
bracis-19050	129	10	[	[	X
bracis-19050	129	11	21	21	NUM
bracis-19050	129	12	]	]	X
bracis-19050	129	13	is	be	AUX
bracis-19050	129	14	a	a	DET
bracis-19050	129	15	good	good	ADJ
bracis-19050	129	16	starting	starting	NOUN
bracis-19050	129	17	point	point	NOUN
bracis-19050	129	18	together	together	ADV
bracis-19050	129	19	with	with	ADP
bracis-19050	129	20	the	the	DET
bracis-19050	129	21	existing	exist	VERB
bracis-19050	129	22	traditional	traditional	ADJ
bracis-19050	129	23	metrics	metric	NOUN
bracis-19050	129	24	of	of	ADP
bracis-19050	129	25	mes	me	NOUN
bracis-19050	129	26	[	[	X
bracis-19050	129	27	14	14	NUM
bracis-19050	129	28	]	]	PUNCT
bracis-19050	129	29	to	to	PART
bracis-19050	129	30	propose	propose	VERB
bracis-19050	129	31	new	new	ADJ
bracis-19050	129	32	global	global	ADJ
bracis-19050	129	33	features	feature	NOUN
bracis-19050	129	34	importance	importance	NOUN
bracis-19050	129	35	which	which	PRON
bracis-19050	129	36	is	be	AUX
bracis-19050	129	37	able	able	ADJ
bracis-19050	129	38	to	to	PART
bracis-19050	129	39	fill	fill	VERB
bracis-19050	129	40	the	the	DET
bracis-19050	129	41	gap	gap	NOUN
bracis-19050	129	42	of	of	ADP
bracis-19050	129	43	robustness	robustness	NOUN
bracis-19050	129	44	regarding	regard	VERB
bracis-19050	129	45	the	the	DET
bracis-19050	129	46	size	size	NOUN
bracis-19050	129	47	and	and	CCONJ
bracis-19050	129	48	direction	direction	NOUN
bracis-19050	129	49	of	of	ADP
bracis-19050	129	50	feature	feature	NOUN
bracis-19050	129	51	effects	effect	NOUN
bracis-19050	129	52	on	on	ADP
bracis-19050	129	53	a	a	DET
bracis-19050	129	54	binary	binary	ADJ
bracis-19050	129	55	classification	classification	NOUN
bracis-19050	129	56	model	model	NOUN
bracis-19050	129	57	.	.	PUNCT
bracis-19050	130	1	3	3	NUM
bracis-19050	130	2	proposed	propose	VERB
bracis-19050	130	3	metrics	metric	NOUN
bracis-19050	130	4	this	this	DET
bracis-19050	130	5	section	section	NOUN
bracis-19050	130	6	proposes	propose	VERB
bracis-19050	130	7	four	four	NUM
bracis-19050	130	8	new	new	ADJ
bracis-19050	130	9	metrics	metric	NOUN
bracis-19050	130	10	that	that	PRON
bracis-19050	130	11	are	be	AUX
bracis-19050	130	12	suitable	suitable	ADJ
bracis-19050	130	13	for	for	ADP
bracis-19050	130	14	applied	apply	VERB
bracis-19050	130	15	research	research	NOUN
bracis-19050	130	16	when	when	SCONJ
bracis-19050	130	17	comparing	compare	VERB
bracis-19050	130	18	the	the	DET
bracis-19050	130	19	feature	feature	NOUN
bracis-19050	130	20	effects	effect	NOUN
bracis-19050	130	21	across	across	ADP
bracis-19050	130	22	multiple	multiple	ADJ
bracis-19050	130	23	models	model	NOUN
bracis-19050	130	24	.	.	PUNCT
bracis-19050	131	1	these	these	DET
bracis-19050	131	2	metrics	metric	NOUN
bracis-19050	131	3	are	be	AUX
bracis-19050	131	4	based	base	VERB
bracis-19050	131	5	on	on	ADP
bracis-19050	131	6	the	the	DET
bracis-19050	131	7	me	me	PROPN
bracis-19050	131	8	and	and	CCONJ
bracis-19050	131	9	the	the	DET
bracis-19050	131	10	shape	shape	NOUN
bracis-19050	131	11	of	of	ADP
bracis-19050	131	12	ale	ale	NOUN
bracis-19050	131	13	plots	plot	NOUN
bracis-19050	131	14	that	that	PRON
bracis-19050	131	15	may	may	AUX
bracis-19050	131	16	be	be	AUX
bracis-19050	131	17	used	use	VERB
bracis-19050	131	18	to	to	PART
bracis-19050	131	19	report	report	VERB
bracis-19050	131	20	the	the	DET
bracis-19050	131	21	feature	feature	NOUN
bracis-19050	131	22	contribution	contribution	NOUN
bracis-19050	131	23	on	on	ADP
bracis-19050	131	24	binary	binary	ADJ
bracis-19050	131	25	classification	classification	NOUN
bracis-19050	131	26	problems	problem	NOUN
bracis-19050	131	27	.	.	PUNCT
bracis-19050	132	1	three	three	NUM
bracis-19050	132	2	of	of	ADP
bracis-19050	132	3	them	they	PRON
bracis-19050	132	4	possess	possess	VERB
bracis-19050	132	5	explainability	explainability	NOUN
bracis-19050	132	6	in	in	ADP
bracis-19050	132	7	terms	term	NOUN
bracis-19050	132	8	of	of	ADP
bracis-19050	132	9	size	size	NOUN
bracis-19050	132	10	and	and	CCONJ
bracis-19050	132	11	direction	direction	NOUN
bracis-19050	132	12	of	of	ADP
bracis-19050	132	13	the	the	DET
bracis-19050	132	14	feature	feature	NOUN
bracis-19050	132	15	effect	effect	NOUN
bracis-19050	132	16	,	,	PUNCT
bracis-19050	132	17	while	while	SCONJ
bracis-19050	132	18	one	one	NUM
bracis-19050	132	19	accounts	account	VERB
bracis-19050	132	20	only	only	ADV
bracis-19050	132	21	for	for	ADP
bracis-19050	132	22	the	the	DET
bracis-19050	132	23	contribution	contribution	NOUN
bracis-19050	132	24	amount	amount	NOUN
bracis-19050	132	25	.	.	PUNCT
bracis-19050	133	1	3.1	3.1	NUM
bracis-19050	133	2	average	average	ADJ
bracis-19050	133	3	uncentered	uncentered	ADJ
bracis-19050	133	4	ale	ale	NOUN
bracis-19050	133	5	(	(	PUNCT
bracis-19050	133	6	aua	aua	PROPN
bracis-19050	133	7	)	)	PUNCT
bracis-19050	133	8	average	average	NOUN
bracis-19050	133	9	is	be	AUX
bracis-19050	133	10	a	a	DET
bracis-19050	133	11	natural	natural	ADJ
bracis-19050	133	12	metric	metric	NOUN
bracis-19050	133	13	to	to	PART
bracis-19050	133	14	summarize	summarize	VERB
bracis-19050	133	15	a	a	DET
bracis-19050	133	16	distribution	distribution	NOUN
bracis-19050	133	17	(	(	PUNCT
bracis-19050	133	18	first	first	ADJ
bracis-19050	133	19	-	-	PUNCT
bracis-19050	133	20	order	order	NOUN
bracis-19050	133	21	momentum	momentum	NOUN
bracis-19050	133	22	)	)	PUNCT
bracis-19050	133	23	and	and	CCONJ
bracis-19050	133	24	leverages	leverage	VERB
bracis-19050	133	25	great	great	ADJ
bracis-19050	133	26	insights	insight	NOUN
bracis-19050	133	27	regarding	regard	VERB
bracis-19050	133	28	the	the	DET
bracis-19050	133	29	size	size	NOUN
bracis-19050	133	30	and	and	CCONJ
bracis-19050	133	31	directions	direction	NOUN
bracis-19050	133	32	of	of	ADP
bracis-19050	133	33	the	the	DET
bracis-19050	133	34	feature	feature	NOUN
bracis-19050	133	35	mean	mean	NOUN
bracis-19050	133	36	effects	effect	NOUN
bracis-19050	133	37	.	.	PUNCT
bracis-19050	134	1	(	(	PUNCT
bracis-19050	134	2	4	4	X
bracis-19050	134	3	)	)	PUNCT
bracis-19050	134	4	this	this	PRON
bracis-19050	134	5	is	be	AUX
bracis-19050	134	6	close	close	ADJ
bracis-19050	134	7	to	to	ADP
bracis-19050	134	8	the	the	DET
bracis-19050	134	9	mes	me	NOUN
bracis-19050	134	10	for	for	ADP
bracis-19050	134	11	linear	linear	NOUN
bracis-19050	134	12	models	model	NOUN
bracis-19050	134	13	and	and	CCONJ
bracis-19050	134	14	ames	ame	NOUN
bracis-19050	134	15	for	for	ADP
bracis-19050	134	16	glms	glm	NOUN
bracis-19050	134	17	since	since	SCONJ
bracis-19050	134	18	it	it	PRON
bracis-19050	134	19	uses	use	VERB
bracis-19050	134	20	the	the	DET
bracis-19050	134	21	average	average	ADJ
bracis-19050	134	22	conditional	conditional	ADJ
bracis-19050	134	23	distribution	distribution	NOUN
bracis-19050	134	24	of	of	ADP
bracis-19050	134	25	the	the	DET
bracis-19050	134	26	observed	observe	VERB
bracis-19050	134	27	training	training	NOUN
bracis-19050	134	28	data	datum	NOUN
bracis-19050	134	29	.	.	PUNCT
bracis-19050	135	1	however	however	ADV
bracis-19050	135	2	,	,	PUNCT
bracis-19050	135	3	it	it	PRON
bracis-19050	135	4	accounts	account	VERB
bracis-19050	135	5	for	for	ADP
bracis-19050	135	6	each	each	DET
bracis-19050	135	7	local	local	ADJ
bracis-19050	135	8	effect	effect	NOUN
bracis-19050	135	9	and	and	CCONJ
bracis-19050	135	10	may	may	AUX
bracis-19050	135	11	be	be	AUX
bracis-19050	135	12	somewhat	somewhat	ADV
bracis-19050	135	13	different	different	ADJ
bracis-19050	135	14	for	for	ADP
bracis-19050	135	15	noisy	noisy	ADJ
bracis-19050	135	16	models	model	NOUN
bracis-19050	135	17	.	.	PUNCT
bracis-19050	136	1	3.2	3.2	NUM
bracis-19050	136	2	uncentered	uncentered	ADJ
bracis-19050	136	3	ale	ale	NOUN
bracis-19050	136	4	at	at	ADP
bracis-19050	136	5	a	a	DET
bracis-19050	136	6	specific	specific	ADJ
bracis-19050	136	7	value	value	NOUN
bracis-19050	136	8	(	(	PUNCT
bracis-19050	136	9	uas	uas	PROPN
bracis-19050	136	10	)	)	PUNCT
bracis-19050	136	11	the	the	DET
bracis-19050	136	12	uas	uas	PROPN
bracis-19050	136	13	is	be	AUX
bracis-19050	136	14	an	an	DET
bracis-19050	136	15	arbitrary	arbitrary	ADJ
bracis-19050	136	16	choice	choice	NOUN
bracis-19050	136	17	of	of	ADP
bracis-19050	136	18	a	a	DET
bracis-19050	136	19	specific	specific	ADJ
bracis-19050	136	20	value	value	NOUN
bracis-19050	136	21	to	to	PART
bracis-19050	136	22	calculate	calculate	VERB
bracis-19050	136	23	the	the	DET
bracis-19050	136	24	uncentered	uncentered	ADJ
bracis-19050	136	25	ale	ale	NOUN
bracis-19050	136	26	.	.	PUNCT
bracis-19050	137	1	in	in	ADP
bracis-19050	137	2	practice	practice	NOUN
bracis-19050	137	3	,	,	PUNCT
bracis-19050	137	4	it	it	PRON
bracis-19050	137	5	requires	require	VERB
bracis-19050	137	6	splitting	split	VERB
bracis-19050	137	7	the	the	DET
bracis-19050	137	8	data	datum	NOUN
bracis-19050	137	9	into	into	ADP
bracis-19050	137	10	k	k	PROPN
bracis-19050	137	11	intervals	interval	NOUN
bracis-19050	137	12	and	and	CCONJ
bracis-19050	137	13	calculating	calculate	VERB
bracis-19050	137	14	the	the	DET
bracis-19050	137	15	uncentered	uncentered	ADJ
bracis-19050	137	16	ale	ale	NOUN
bracis-19050	137	17	with	with	ADP
bracis-19050	137	18	(	(	PUNCT
bracis-19050	137	19	3	3	NUM
bracis-19050	137	20	)	)	PUNCT
bracis-19050	137	21	up	up	ADP
bracis-19050	137	22	to	to	ADP
bracis-19050	137	23	the	the	DET
bracis-19050	137	24	interval	interval	NOUN
bracis-19050	137	25	where	where	SCONJ
bracis-19050	137	26	the	the	DET
bracis-19050	137	27	choice	choice	NOUN
bracis-19050	137	28	values	value	NOUN
bracis-19050	137	29	fall	fall	VERB
bracis-19050	137	30	.	.	PUNCT
bracis-19050	138	1	this	this	DET
bracis-19050	138	2	metric	metric	NOUN
bracis-19050	138	3	may	may	AUX
bracis-19050	138	4	be	be	AUX
bracis-19050	138	5	helpful	helpful	ADJ
bracis-19050	138	6	when	when	SCONJ
bracis-19050	138	7	the	the	DET
bracis-19050	138	8	analyst	analyst	NOUN
bracis-19050	138	9	has	have	VERB
bracis-19050	138	10	sufficient	sufficient	ADJ
bracis-19050	138	11	domain	domain	NOUN
bracis-19050	138	12	knowledge	knowledge	NOUN
bracis-19050	138	13	or	or	CCONJ
bracis-19050	138	14	is	be	AUX
bracis-19050	138	15	verifying	verify	VERB
bracis-19050	138	16	hypotheses	hypothesis	NOUN
bracis-19050	138	17	.	.	PUNCT
bracis-19050	139	1	(	(	PUNCT
bracis-19050	139	2	5	5	X
bracis-19050	139	3	)	)	PUNCT
bracis-19050	139	4	3.3	3.3	NUM
bracis-19050	139	5	maximum	maximum	NOUN
bracis-19050	139	6	uncentered	uncentered	ADJ
bracis-19050	139	7	ale	ale	NOUN
bracis-19050	139	8	(	(	PUNCT
bracis-19050	139	9	mua	mua	NOUN
bracis-19050	139	10	)	)	PUNCT
bracis-19050	139	11	this	this	DET
bracis-19050	139	12	metric	metric	NOUN
bracis-19050	139	13	is	be	AUX
bracis-19050	139	14	more	more	ADV
bracis-19050	139	15	actionable	actionable	ADJ
bracis-19050	139	16	and	and	CCONJ
bracis-19050	139	17	consists	consist	VERB
bracis-19050	139	18	of	of	ADP
bracis-19050	139	19	extracting	extract	VERB
bracis-19050	139	20	the	the	DET
bracis-19050	139	21	maximum	maximum	ADJ
bracis-19050	139	22	change	change	NOUN
bracis-19050	139	23	in	in	ADP
bracis-19050	139	24	predicting	predict	VERB
bracis-19050	139	25	the	the	DET
bracis-19050	139	26	outcome	outcome	NOUN
bracis-19050	139	27	for	for	ADP
bracis-19050	139	28	the	the	DET
bracis-19050	139	29	feature	feature	NOUN
bracis-19050	139	30	\({x}_{i}\	\({x}_{i}\	PROPN
bracis-19050	139	31	)	)	PUNCT
bracis-19050	139	32	.	.	PUNCT
bracis-19050	140	1	as	as	SCONJ
bracis-19050	140	2	the	the	DET
bracis-19050	140	3	maximum	maximum	NOUN
bracis-19050	140	4	may	may	AUX
bracis-19050	140	5	be	be	AUX
bracis-19050	140	6	positive	positive	ADJ
bracis-19050	140	7	or	or	CCONJ
bracis-19050	140	8	negative	negative	ADJ
bracis-19050	140	9	related	relate	VERB
bracis-19050	140	10	to	to	ADP
bracis-19050	140	11	the	the	DET
bracis-19050	140	12	outcome	outcome	NOUN
bracis-19050	140	13	,	,	PUNCT
bracis-19050	140	14	it	it	PRON
bracis-19050	140	15	requires	require	VERB
bracis-19050	140	16	a	a	DET
bracis-19050	140	17	previous	previous	ADJ
bracis-19050	140	18	absolute	absolute	ADJ
bracis-19050	140	19	comparison	comparison	NOUN
bracis-19050	140	20	in	in	ADP
bracis-19050	140	21	order	order	NOUN
bracis-19050	140	22	to	to	PART
bracis-19050	140	23	achieve	achieve	VERB
bracis-19050	140	24	the	the	DET
bracis-19050	140	25	highest	high	ADJ
bracis-19050	140	26	value	value	NOUN
bracis-19050	140	27	.	.	PUNCT
bracis-19050	141	1	(	(	PUNCT
bracis-19050	141	2	6	6	NUM
bracis-19050	141	3	)	)	PUNCT
bracis-19050	141	4	3.4	3.4	NUM
bracis-19050	141	5	ale	ale	NOUN
bracis-19050	141	6	absolute	absolute	ADJ
bracis-19050	141	7	average	average	NOUN
bracis-19050	141	8	(	(	PUNCT
bracis-19050	141	9	aabsa	aabsa	NOUN
bracis-19050	141	10	)	)	PUNCT
bracis-19050	141	11	this	this	DET
bracis-19050	141	12	metric	metric	NOUN
bracis-19050	141	13	is	be	AUX
bracis-19050	141	14	a	a	DET
bracis-19050	141	15	non	non	ADJ
bracis-19050	141	16	-	-	ADJ
bracis-19050	141	17	directional	directional	ADJ
bracis-19050	141	18	metric	metric	NOUN
bracis-19050	141	19	and	and	CCONJ
bracis-19050	141	20	highlights	highlight	NOUN
bracis-19050	141	21	the	the	DET
bracis-19050	141	22	overall	overall	ADJ
bracis-19050	141	23	feature	feature	NOUN
bracis-19050	141	24	importance	importance	NOUN
bracis-19050	141	25	.	.	PUNCT
bracis-19050	142	1	it	it	PRON
bracis-19050	142	2	measures	measure	VERB
bracis-19050	142	3	,	,	PUNCT
bracis-19050	142	4	on	on	ADP
bracis-19050	142	5	average	average	ADJ
bracis-19050	142	6	,	,	PUNCT
bracis-19050	142	7	how	how	SCONJ
bracis-19050	142	8	far	far	ADV
bracis-19050	142	9	the	the	DET
bracis-19050	142	10	prediction	prediction	NOUN
bracis-19050	142	11	changes	change	VERB
bracis-19050	142	12	away	away	ADV
bracis-19050	142	13	from	from	ADP
bracis-19050	142	14	the	the	DET
bracis-19050	142	15	ale	ale	NOUN
bracis-19050	142	16	average	average	NOUN
bracis-19050	142	17	.	.	PUNCT
bracis-19050	143	1	unlike	unlike	ADP
bracis-19050	143	2	the	the	DET
bracis-19050	143	3	others	other	NOUN
bracis-19050	143	4	,	,	PUNCT
bracis-19050	143	5	the	the	DET
bracis-19050	143	6	centered	center	VERB
bracis-19050	143	7	ale	ale	NOUN
bracis-19050	143	8	is	be	AUX
bracis-19050	143	9	considered	consider	VERB
bracis-19050	143	10	,	,	PUNCT
bracis-19050	143	11	which	which	PRON
bracis-19050	143	12	has	have	VERB
bracis-19050	143	13	a	a	DET
bracis-19050	143	14	mean	mean	ADJ
bracis-19050	143	15	zero	zero	NUM
bracis-19050	143	16	.	.	PUNCT
bracis-19050	144	1	(	(	PUNCT
bracis-19050	144	2	7	7	NUM
bracis-19050	144	3	)	)	SYM
bracis-19050	144	4	3.5	3.5	NUM
bracis-19050	144	5	summary	summary	NOUN
bracis-19050	144	6	of	of	ADP
bracis-19050	144	7	the	the	DET
bracis-19050	144	8	novelty	novelty	NOUN
bracis-19050	144	9	of	of	ADP
bracis-19050	144	10	the	the	DET
bracis-19050	144	11	proposal	proposal	NOUN
bracis-19050	144	12	in	in	ADP
bracis-19050	144	13	order	order	NOUN
bracis-19050	144	14	to	to	PART
bracis-19050	144	15	clarify	clarify	VERB
bracis-19050	144	16	the	the	DET
bracis-19050	144	17	novelty	novelty	NOUN
bracis-19050	144	18	and	and	CCONJ
bracis-19050	144	19	issues	issue	NOUN
bracis-19050	144	20	addressed	address	VERB
bracis-19050	144	21	by	by	ADP
bracis-19050	144	22	the	the	DET
bracis-19050	144	23	proposal	proposal	NOUN
bracis-19050	144	24	,	,	PUNCT
bracis-19050	144	25	table	table	NOUN
bracis-19050	144	26	1	1	NUM
bracis-19050	144	27	summarizes	summarize	NOUN
bracis-19050	144	28	the	the	DET
bracis-19050	144	29	main	main	ADJ
bracis-19050	144	30	differences	difference	NOUN
bracis-19050	144	31	of	of	ADP
bracis-19050	144	32	each	each	DET
bracis-19050	144	33	proposed	propose	VERB
bracis-19050	144	34	metric	metric	NOUN
bracis-19050	144	35	and	and	CCONJ
bracis-19050	144	36	of	of	ADP
bracis-19050	144	37	those	those	PRON
bracis-19050	144	38	that	that	PRON
bracis-19050	144	39	already	already	ADV
bracis-19050	144	40	exist	exist	VERB
bracis-19050	144	41	.	.	PUNCT
bracis-19050	145	1	in	in	ADP
bracis-19050	145	2	particular	particular	ADJ
bracis-19050	145	3	,	,	PUNCT
bracis-19050	145	4	the	the	DET
bracis-19050	145	5	βcoefficients	βcoefficient	NOUN
bracis-19050	145	6	of	of	ADP
bracis-19050	145	7	logistic	logistic	ADJ
bracis-19050	145	8	regression	regression	NOUN
bracis-19050	145	9	(	(	PUNCT
bracis-19050	145	10	lr	lr	NOUN
bracis-19050	145	11	)	)	PUNCT
bracis-19050	145	12	and	and	CCONJ
bracis-19050	145	13	permutation	permutation	NOUN
bracis-19050	145	14	feature	feature	NOUN
bracis-19050	145	15	importance	importance	NOUN
bracis-19050	145	16	(	(	PUNCT
bracis-19050	145	17	pfi	pfi	NOUN
bracis-19050	145	18	)	)	PUNCT
bracis-19050	145	19	from	from	ADP
bracis-19050	145	20	tree	tree	NOUN
bracis-19050	145	21	-	-	PUNCT
bracis-19050	145	22	based	base	VERB
bracis-19050	145	23	algorithms	algorithm	NOUN
bracis-19050	145	24	were	be	AUX
bracis-19050	145	25	considered	consider	VERB
bracis-19050	145	26	,	,	PUNCT
bracis-19050	145	27	both	both	PRON
bracis-19050	145	28	widely	widely	ADV
bracis-19050	145	29	used	use	VERB
bracis-19050	145	30	in	in	ADP
bracis-19050	145	31	the	the	DET
bracis-19050	145	32	machine	machine	NOUN
bracis-19050	145	33	learning	learn	VERB
bracis-19050	145	34	field	field	NOUN
bracis-19050	145	35	as	as	ADP
bracis-19050	145	36	a	a	DET
bracis-19050	145	37	global	global	ADJ
bracis-19050	145	38	metrics	metric	NOUN
bracis-19050	145	39	and	and	CCONJ
bracis-19050	145	40	reported	report	VERB
bracis-19050	145	41	by	by	ADP
bracis-19050	145	42	a	a	DET
bracis-19050	145	43	single	single	ADJ
bracis-19050	145	44	parameter	parameter	NOUN
bracis-19050	145	45	.	.	PUNCT
bracis-19050	146	1	table	table	NOUN
bracis-19050	146	2	1	1	NUM
bracis-19050	146	3	.	.	PUNCT
bracis-19050	146	4	differences	difference	NOUN
bracis-19050	146	5	among	among	ADP
bracis-19050	146	6	proposed	propose	VERB
bracis-19050	146	7	methods	method	NOUN
bracis-19050	146	8	and	and	CCONJ
bracis-19050	146	9	similar	similar	ADJ
bracis-19050	146	10	existing	exist	VERB
bracis-19050	146	11	methods	method	NOUN
bracis-19050	146	12	in	in	ADP
bracis-19050	146	13	the	the	DET
bracis-19050	146	14	ml	ml	NOUN
bracis-19050	146	15	fieldfull	fieldfull	ADJ
bracis-19050	146	16	size	size	NOUN
bracis-19050	146	17	table	table	NOUN
bracis-19050	146	18	4	4	NUM
bracis-19050	146	19	experiments	experiment	NOUN
bracis-19050	146	20	to	to	PART
bracis-19050	146	21	introduce	introduce	VERB
bracis-19050	146	22	the	the	DET
bracis-19050	146	23	new	new	ADJ
bracis-19050	146	24	metrics	metric	NOUN
bracis-19050	146	25	,	,	PUNCT
bracis-19050	146	26	two	two	NUM
bracis-19050	146	27	experiments	experiment	NOUN
bracis-19050	146	28	were	be	AUX
bracis-19050	146	29	conductedfootnote	conductedfootnote	ADJ
bracis-19050	146	30	1	1	NUM
bracis-19050	146	31	.	.	PUNCT
bracis-19050	147	1	the	the	DET
bracis-19050	147	2	goal	goal	NOUN
bracis-19050	147	3	of	of	ADP
bracis-19050	147	4	the	the	DET
bracis-19050	147	5	experiments	experiment	NOUN
bracis-19050	147	6	was	be	AUX
bracis-19050	147	7	two	two	NUM
bracis-19050	147	8	-	-	PUNCT
bracis-19050	147	9	fold	fold	ADJ
bracis-19050	147	10	.	.	PUNCT
bracis-19050	148	1	first	first	ADV
bracis-19050	148	2	,	,	PUNCT
bracis-19050	148	3	to	to	PART
bracis-19050	148	4	compare	compare	VERB
bracis-19050	148	5	the	the	DET
bracis-19050	148	6	proposed	propose	VERB
bracis-19050	148	7	metrics	metric	NOUN
bracis-19050	148	8	in	in	ADP
bracis-19050	148	9	this	this	DET
bracis-19050	148	10	paper	paper	NOUN
bracis-19050	148	11	with	with	ADP
bracis-19050	148	12	intrinsic	intrinsic	ADJ
bracis-19050	148	13	model	model	NOUN
bracis-19050	148	14	metrics	metric	NOUN
bracis-19050	148	15	.	.	PUNCT
bracis-19050	149	1	more	more	ADV
bracis-19050	149	2	specifically	specifically	ADV
bracis-19050	149	3	,	,	PUNCT
bracis-19050	149	4	it	it	PRON
bracis-19050	149	5	considered	consider	VERB
bracis-19050	149	6	the	the	DET
bracis-19050	149	7	widespread	widespread	ADJ
bracis-19050	149	8	\(\beta\)-coefficients	\(\beta\)-coefficient	NOUN
bracis-19050	149	9	and	and	CCONJ
bracis-19050	149	10	the	the	DET
bracis-19050	149	11	permutation	permutation	NOUN
bracis-19050	149	12	feature	feature	NOUN
bracis-19050	149	13	importance	importance	NOUN
bracis-19050	149	14	derived	derive	VERB
bracis-19050	149	15	from	from	ADP
bracis-19050	149	16	lr	lr	NOUN
bracis-19050	149	17	and	and	CCONJ
bracis-19050	149	18	random	random	ADJ
bracis-19050	149	19	forest	forest	NOUN
bracis-19050	149	20	(	(	PUNCT
bracis-19050	149	21	rf	rf	NOUN
bracis-19050	149	22	)	)	PUNCT
bracis-19050	149	23	,	,	PUNCT
bracis-19050	149	24	respectively	respectively	ADV
bracis-19050	149	25	.	.	PUNCT
bracis-19050	150	1	thus	thus	ADV
bracis-19050	150	2	,	,	PUNCT
bracis-19050	150	3	it	it	PRON
bracis-19050	150	4	was	be	AUX
bracis-19050	150	5	possible	possible	ADJ
bracis-19050	150	6	to	to	PART
bracis-19050	150	7	evaluate	evaluate	VERB
bracis-19050	150	8	whether	whether	SCONJ
bracis-19050	150	9	or	or	CCONJ
bracis-19050	150	10	not	not	PART
bracis-19050	150	11	the	the	DET
bracis-19050	150	12	metrics	metric	NOUN
bracis-19050	150	13	highlight	highlight	VERB
bracis-19050	150	14	the	the	DET
bracis-19050	150	15	features	feature	NOUN
bracis-19050	150	16	in	in	ADP
bracis-19050	150	17	a	a	DET
bracis-19050	150	18	similar	similar	ADJ
bracis-19050	150	19	manner	manner	NOUN
bracis-19050	150	20	.	.	PUNCT
bracis-19050	151	1	an	an	DET
bracis-19050	151	2	open	open	ADJ
bracis-19050	151	3	-	-	PUNCT
bracis-19050	151	4	access	access	NOUN
bracis-19050	151	5	breast	breast	NOUN
bracis-19050	151	6	cancer	cancer	NOUN
bracis-19050	151	7	dataset	dataset	NOUN
bracis-19050	151	8	was	be	AUX
bracis-19050	151	9	used	use	VERB
bracis-19050	151	10	.	.	PUNCT
bracis-19050	152	1	this	this	DET
bracis-19050	152	2	dataset	dataset	NOUN
bracis-19050	152	3	is	be	AUX
bracis-19050	152	4	available	available	ADJ
bracis-19050	152	5	ready	ready	ADJ
bracis-19050	152	6	for	for	ADP
bracis-19050	152	7	modeling	model	VERB
bracis-19050	152	8	binary	binary	ADJ
bracis-19050	152	9	classification	classification	NOUN
bracis-19050	152	10	and	and	CCONJ
bracis-19050	152	11	is	be	AUX
bracis-19050	152	12	a	a	DET
bracis-19050	152	13	linearly	linearly	ADV
bracis-19050	152	14	separable	separable	ADJ
bracis-19050	152	15	problem	problem	NOUN
bracis-19050	152	16	with	with	ADP
bracis-19050	152	17	highly	highly	ADV
bracis-19050	152	18	correlated	correlate	VERB
bracis-19050	152	19	data	datum	NOUN
bracis-19050	152	20	[	[	X
bracis-19050	152	21	24	24	NUM
bracis-19050	152	22	]	]	PUNCT
bracis-19050	152	23	.	.	PUNCT
bracis-19050	153	1	second	second	ADJ
bracis-19050	153	2	,	,	PUNCT
bracis-19050	153	3	a	a	DET
bracis-19050	153	4	dataset	dataset	NOUN
bracis-19050	153	5	was	be	AUX
bracis-19050	153	6	used	use	VERB
bracis-19050	153	7	from	from	ADP
bracis-19050	153	8	the	the	DET
bracis-19050	153	9	national	national	ADJ
bracis-19050	153	10	brazilian	brazilian	ADJ
bracis-19050	153	11	test	test	NOUN
bracis-19050	153	12	for	for	ADP
bracis-19050	153	13	secondary	secondary	ADJ
bracis-19050	153	14	education	education	NOUN
bracis-19050	153	15	(	(	PUNCT
bracis-19050	153	16	enem	enem	PROPN
bracis-19050	153	17	)	)	PUNCT
bracis-19050	153	18	,	,	PUNCT
bracis-19050	153	19	and	and	CCONJ
bracis-19050	153	20	the	the	DET
bracis-19050	153	21	school	school	NOUN
bracis-19050	153	22	census	census	NOUN
bracis-19050	153	23	from	from	ADP
bracis-19050	153	24	the	the	DET
bracis-19050	153	25	2009–2019	2009–2019	NUM
bracis-19050	153	26	period	period	NOUN
bracis-19050	153	27	.	.	PUNCT
bracis-19050	154	1	the	the	DET
bracis-19050	154	2	goal	goal	NOUN
bracis-19050	154	3	here	here	ADV
bracis-19050	154	4	was	be	AUX
bracis-19050	154	5	to	to	PART
bracis-19050	154	6	demonstrate	demonstrate	VERB
bracis-19050	154	7	how	how	SCONJ
bracis-19050	154	8	the	the	DET
bracis-19050	154	9	proposed	propose	VERB
bracis-19050	154	10	metrics	metric	NOUN
bracis-19050	154	11	may	may	AUX
bracis-19050	154	12	be	be	AUX
bracis-19050	154	13	helpful	helpful	ADJ
bracis-19050	154	14	in	in	ADP
bracis-19050	154	15	a	a	DET
bracis-19050	154	16	real	real	ADJ
bracis-19050	154	17	-	-	PUNCT
bracis-19050	154	18	world	world	NOUN
bracis-19050	154	19	problem	problem	NOUN
bracis-19050	154	20	.	.	PUNCT
bracis-19050	155	1	thus	thus	ADV
bracis-19050	155	2	,	,	PUNCT
bracis-19050	155	3	a	a	DET
bracis-19050	155	4	data	data	NOUN
bracis-19050	155	5	mining	mining	NOUN
bracis-19050	155	6	solution	solution	NOUN
bracis-19050	155	7	was	be	AUX
bracis-19050	155	8	developed	develop	VERB
bracis-19050	155	9	to	to	PART
bracis-19050	155	10	explore	explore	VERB
bracis-19050	155	11	which	which	PRON
bracis-19050	155	12	and	and	CCONJ
bracis-19050	155	13	how	how	SCONJ
bracis-19050	155	14	the	the	DET
bracis-19050	155	15	most	most	ADV
bracis-19050	155	16	important	important	ADJ
bracis-19050	155	17	variables	variable	NOUN
bracis-19050	155	18	associated	associate	VERB
bracis-19050	155	19	with	with	ADP
bracis-19050	155	20	school	school	NOUN
bracis-19050	155	21	performance	performance	NOUN
bracis-19050	155	22	behave	behave	VERB
bracis-19050	155	23	over	over	ADP
bracis-19050	155	24	the	the	DET
bracis-19050	155	25	years	year	NOUN
bracis-19050	155	26	.	.	PUNCT
bracis-19050	156	1	the	the	DET
bracis-19050	156	2	report	report	NOUN
bracis-19050	156	3	aimed	aim	VERB
bracis-19050	156	4	at	at	ADP
bracis-19050	156	5	yielding	yield	VERB
bracis-19050	156	6	valuable	valuable	ADJ
bracis-19050	156	7	and	and	CCONJ
bracis-19050	156	8	actionable	actionable	ADJ
bracis-19050	156	9	results	result	NOUN
bracis-19050	156	10	for	for	ADP
bracis-19050	156	11	decision	decision	NOUN
bracis-19050	156	12	-	-	PUNCT
bracis-19050	156	13	makers	maker	NOUN
bracis-19050	156	14	through	through	ADP
bracis-19050	156	15	a	a	DET
bracis-19050	156	16	single	single	ADJ
bracis-19050	156	17	feature	feature	NOUN
bracis-19050	156	18	importance	importance	NOUN
bracis-19050	156	19	metric	metric	ADJ
bracis-19050	156	20	.	.	PUNCT
bracis-19050	157	1	these	these	DET
bracis-19050	157	2	summary	summary	NOUN
bracis-19050	157	3	measures	measure	NOUN
bracis-19050	157	4	may	may	AUX
bracis-19050	157	5	enhance	enhance	VERB
bracis-19050	157	6	the	the	DET
bracis-19050	157	7	analytical	analytical	ADJ
bracis-19050	157	8	ability	ability	NOUN
bracis-19050	157	9	of	of	ADP
bracis-19050	157	10	the	the	DET
bracis-19050	157	11	researcher	researcher	NOUN
bracis-19050	157	12	when	when	SCONJ
bracis-19050	157	13	comparing	compare	VERB
bracis-19050	157	14	the	the	DET
bracis-19050	157	15	feature	feature	NOUN
bracis-19050	157	16	effects	effect	NOUN
bracis-19050	157	17	across	across	ADP
bracis-19050	157	18	supervised	supervised	ADJ
bracis-19050	157	19	models	model	NOUN
bracis-19050	157	20	,	,	PUNCT
bracis-19050	157	21	whichever	whichever	PRON
bracis-19050	157	22	the	the	DET
bracis-19050	157	23	algorithm	algorithm	NOUN
bracis-19050	157	24	chooses	choose	VERB
bracis-19050	157	25	to	to	PART
bracis-19050	157	26	fit	fit	VERB
bracis-19050	157	27	the	the	DET
bracis-19050	157	28	data	datum	NOUN
bracis-19050	157	29	.	.	PUNCT
bracis-19050	158	1	the	the	DET
bracis-19050	158	2	alibi	alibi	NOUN
bracis-19050	158	3	package	package	NOUN
bracis-19050	158	4	[	[	X
bracis-19050	158	5	25	25	NUM
bracis-19050	158	6	]	]	PUNCT
bracis-19050	158	7	,	,	PUNCT
bracis-19050	158	8	which	which	PRON
bracis-19050	158	9	has	have	AUX
bracis-19050	158	10	implemented	implement	VERB
bracis-19050	158	11	the	the	DET
bracis-19050	158	12	ale	ale	NOUN
bracis-19050	158	13	plots	plot	NOUN
bracis-19050	158	14	,	,	PUNCT
bracis-19050	158	15	supports	support	VERB
bracis-19050	158	16	the	the	DET
bracis-19050	158	17	computation	computation	NOUN
bracis-19050	158	18	of	of	ADP
bracis-19050	158	19	the	the	DET
bracis-19050	158	20	metrics	metric	NOUN
bracis-19050	158	21	proposed	propose	VERB
bracis-19050	158	22	in	in	ADP
bracis-19050	158	23	this	this	DET
bracis-19050	158	24	paper	paper	NOUN
bracis-19050	158	25	.	.	PUNCT
bracis-19050	159	1	therefore	therefore	ADV
bracis-19050	159	2	,	,	PUNCT
bracis-19050	159	3	all	all	DET
bracis-19050	159	4	the	the	DET
bracis-19050	159	5	mechanisms	mechanism	NOUN
bracis-19050	159	6	intrinsic	intrinsic	ADJ
bracis-19050	159	7	to	to	ADP
bracis-19050	159	8	the	the	DET
bracis-19050	159	9	ales	ale	NOUN
bracis-19050	159	10	theory	theory	NOUN
bracis-19050	159	11	,	,	PUNCT
bracis-19050	159	12	such	such	ADJ
bracis-19050	159	13	as	as	ADP
bracis-19050	159	14	the	the	DET
bracis-19050	159	15	interval	interval	NOUN
bracis-19050	159	16	definition	definition	NOUN
bracis-19050	159	17	,	,	PUNCT
bracis-19050	159	18	numerical	numerical	ADJ
bracis-19050	159	19	derivation	derivation	NOUN
bracis-19050	159	20	,	,	PUNCT
bracis-19050	159	21	and	and	CCONJ
bracis-19050	159	22	the	the	DET
bracis-19050	159	23	computation	computation	NOUN
bracis-19050	159	24	of	of	ADP
bracis-19050	159	25	the	the	DET
bracis-19050	159	26	local	local	ADJ
bracis-19050	159	27	effects	effect	NOUN
bracis-19050	159	28	,	,	PUNCT
bracis-19050	159	29	follow	follow	VERB
bracis-19050	159	30	the	the	DET
bracis-19050	159	31	software	software	NOUN
bracis-19050	159	32	implementation	implementation	NOUN
bracis-19050	159	33	.	.	PUNCT
bracis-19050	160	1	in	in	ADP
bracis-19050	160	2	this	this	DET
bracis-19050	160	3	paper	paper	NOUN
bracis-19050	160	4	,	,	PUNCT
bracis-19050	160	5	the	the	DET
bracis-19050	160	6	performance	performance	NOUN
bracis-19050	160	7	of	of	ADP
bracis-19050	160	8	the	the	DET
bracis-19050	160	9	models	model	NOUN
bracis-19050	160	10	was	be	AUX
bracis-19050	160	11	not	not	PART
bracis-19050	160	12	reported	report	VERB
bracis-19050	160	13	since	since	SCONJ
bracis-19050	160	14	the	the	DET
bracis-19050	160	15	goals	goal	NOUN
bracis-19050	160	16	were	be	AUX
bracis-19050	160	17	limited	limit	VERB
bracis-19050	160	18	to	to	ADP
bracis-19050	160	19	analyzing	analyze	VERB
bracis-19050	160	20	the	the	DET
bracis-19050	160	21	model	model	NOUN
bracis-19050	160	22	explicability	explicability	NOUN
bracis-19050	160	23	.	.	PUNCT
bracis-19050	161	1	4.1	4.1	NUM
bracis-19050	161	2	breast	breast	NOUN
bracis-19050	161	3	cancer	cancer	NOUN
bracis-19050	161	4	data	datum	NOUN
bracis-19050	161	5	the	the	DET
bracis-19050	161	6	breast	breast	NOUN
bracis-19050	161	7	cancer	cancer	NOUN
bracis-19050	161	8	data	datum	NOUN
bracis-19050	161	9	included	include	VERB
bracis-19050	161	10	benign	benign	ADJ
bracis-19050	161	11	and	and	CCONJ
bracis-19050	161	12	malignant	malignant	ADJ
bracis-19050	161	13	cell	cell	NOUN
bracis-19050	161	14	samples	sample	NOUN
bracis-19050	161	15	from	from	ADP
bracis-19050	161	16	369	369	NUM
bracis-19050	161	17	patients	patient	NOUN
bracis-19050	161	18	,	,	PUNCT
bracis-19050	161	19	212	212	NUM
bracis-19050	161	20	with	with	ADP
bracis-19050	161	21	cancer	cancer	NOUN
bracis-19050	161	22	,	,	PUNCT
bracis-19050	161	23	and	and	CCONJ
bracis-19050	161	24	157	157	NUM
bracis-19050	161	25	with	with	ADP
bracis-19050	161	26	fibrocystic	fibrocystic	ADJ
bracis-19050	161	27	breast	breast	NOUN
bracis-19050	161	28	masses	masse	NOUN
bracis-19050	161	29	.	.	PUNCT
bracis-19050	162	1	each	each	DET
bracis-19050	162	2	sample	sample	NOUN
bracis-19050	162	3	contained	contain	VERB
bracis-19050	162	4	thirty	thirty	NUM
bracis-19050	162	5	features	feature	NOUN
bracis-19050	162	6	,	,	PUNCT
bracis-19050	162	7	and	and	CCONJ
bracis-19050	162	8	lr	lr	NOUN
bracis-19050	162	9	and	and	CCONJ
bracis-19050	162	10	rf	rf	PROPN
bracis-19050	162	11	predicted	predict	VERB
bracis-19050	162	12	the	the	DET
bracis-19050	162	13	patient	patient	ADJ
bracis-19050	162	14	class	class	NOUN
bracis-19050	162	15	in	in	ADP
bracis-19050	162	16	a	a	DET
bracis-19050	162	17	5	5	NUM
bracis-19050	162	18	-	-	ADJ
bracis-19050	162	19	fold	fold	ADJ
bracis-19050	162	20	cross	cross	ADJ
bracis-19050	162	21	-	-	ADJ
bracis-19050	162	22	validation	validation	ADJ
bracis-19050	162	23	setting	setting	NOUN
bracis-19050	162	24	with	with	ADP
bracis-19050	162	25	random	random	ADJ
bracis-19050	162	26	sampling	sampling	NOUN
bracis-19050	162	27	stratified	stratify	VERB
bracis-19050	162	28	by	by	ADP
bracis-19050	162	29	the	the	DET
bracis-19050	162	30	target	target	NOUN
bracis-19050	162	31	class	class	NOUN
bracis-19050	162	32	.	.	PUNCT
bracis-19050	163	1	therefore	therefore	ADV
bracis-19050	163	2	,	,	PUNCT
bracis-19050	163	3	both	both	DET
bracis-19050	163	4	algorithms	algorithm	NOUN
bracis-19050	163	5	were	be	AUX
bracis-19050	163	6	applied	apply	VERB
bracis-19050	163	7	for	for	ADP
bracis-19050	163	8	the	the	DET
bracis-19050	163	9	same	same	ADJ
bracis-19050	163	10	folds	fold	NOUN
bracis-19050	163	11	,	,	PUNCT
bracis-19050	163	12	and	and	CCONJ
bracis-19050	163	13	the	the	DET
bracis-19050	163	14	mean	mean	NOUN
bracis-19050	163	15	was	be	AUX
bracis-19050	163	16	adopted	adopt	VERB
bracis-19050	163	17	as	as	ADP
bracis-19050	163	18	feature	feature	NOUN
bracis-19050	163	19	importance	importance	NOUN
bracis-19050	163	20	for	for	ADP
bracis-19050	163	21	each	each	DET
bracis-19050	163	22	metric	metric	NOUN
bracis-19050	163	23	.	.	PUNCT
bracis-19050	164	1	figure	figure	NOUN
bracis-19050	164	2	 	 	SPACE
bracis-19050	164	3	2	2	NUM
bracis-19050	164	4	shows	show	VERB
bracis-19050	164	5	the	the	DET
bracis-19050	164	6	lr	lr	PROPN
bracis-19050	164	7	coefficients	coefficient	NOUN
bracis-19050	164	8	in	in	ADP
bracis-19050	164	9	red	red	ADJ
bracis-19050	164	10	and	and	CCONJ
bracis-19050	164	11	the	the	DET
bracis-19050	164	12	four	four	NUM
bracis-19050	164	13	proposed	propose	VERB
bracis-19050	164	14	metrics	metric	NOUN
bracis-19050	164	15	.	.	PUNCT
bracis-19050	165	1	for	for	ADP
bracis-19050	165	2	the	the	DET
bracis-19050	165	3	metrics	metric	NOUN
bracis-19050	165	4	that	that	PRON
bracis-19050	165	5	illustrate	illustrate	VERB
bracis-19050	165	6	the	the	DET
bracis-19050	165	7	direction	direction	NOUN
bracis-19050	165	8	of	of	ADP
bracis-19050	165	9	the	the	DET
bracis-19050	165	10	relationship	relationship	NOUN
bracis-19050	165	11	,	,	PUNCT
bracis-19050	165	12	there	there	PRON
bracis-19050	165	13	is	be	VERB
bracis-19050	165	14	a	a	DET
bracis-19050	165	15	high	high	ADJ
bracis-19050	165	16	correlation	correlation	NOUN
bracis-19050	165	17	and	and	CCONJ
bracis-19050	165	18	close	close	ADJ
bracis-19050	165	19	magnitude	magnitude	NOUN
bracis-19050	165	20	.	.	PUNCT
bracis-19050	166	1	however	however	ADV
bracis-19050	166	2	,	,	PUNCT
bracis-19050	166	3	there	there	PRON
bracis-19050	166	4	were	be	VERB
bracis-19050	166	5	some	some	DET
bracis-19050	166	6	discrepancies	discrepancy	NOUN
bracis-19050	166	7	.	.	PUNCT
bracis-19050	167	1	this	this	PRON
bracis-19050	167	2	could	could	AUX
bracis-19050	167	3	have	have	AUX
bracis-19050	167	4	been	be	AUX
bracis-19050	167	5	due	due	ADJ
bracis-19050	167	6	to	to	ADP
bracis-19050	167	7	highly	highly	ADV
bracis-19050	167	8	paired	pair	VERB
bracis-19050	167	9	correlated	correlate	VERB
bracis-19050	167	10	data	datum	NOUN
bracis-19050	167	11	(	(	PUNCT
bracis-19050	167	12	e.g.	e.g.	ADV
bracis-19050	167	13	perimeter	perimeter	NOUN
bracis-19050	167	14	vs.	vs.	X
bracis-19050	167	15	radius	radius	NOUN
bracis-19050	167	16	)	)	PUNCT
bracis-19050	167	17	,	,	PUNCT
bracis-19050	167	18	and	and	CCONJ
bracis-19050	167	19	so	so	ADV
bracis-19050	167	20	logistic	logistic	ADJ
bracis-19050	167	21	regression	regression	NOUN
bracis-19050	167	22	arbitrarily	arbitrarily	ADV
bracis-19050	167	23	chose	choose	VERB
bracis-19050	167	24	one	one	NUM
bracis-19050	167	25	of	of	ADP
bracis-19050	167	26	these	these	PRON
bracis-19050	167	27	(	(	PUNCT
bracis-19050	167	28	e.g.	e.g.	ADV
bracis-19050	167	29	radius	radius	NOUN
bracis-19050	167	30	)	)	PUNCT
bracis-19050	167	31	to	to	PART
bracis-19050	167	32	highlight	highlight	VERB
bracis-19050	167	33	the	the	DET
bracis-19050	167	34	coefficient	coefficient	NOUN
bracis-19050	167	35	[	[	X
bracis-19050	167	36	26	26	NUM
bracis-19050	167	37	]	]	PUNCT
bracis-19050	167	38	.	.	PUNCT
bracis-19050	168	1	also	also	ADV
bracis-19050	168	2	,	,	PUNCT
bracis-19050	168	3	the	the	DET
bracis-19050	168	4	p	p	NOUN
bracis-19050	168	5	-	-	PUNCT
bracis-19050	168	6	values	value	NOUN
bracis-19050	168	7	were	be	AUX
bracis-19050	168	8	not	not	PART
bracis-19050	168	9	checked	check	VERB
bracis-19050	168	10	in	in	ADP
bracis-19050	168	11	this	this	DET
bracis-19050	168	12	experiment	experiment	NOUN
bracis-19050	168	13	,	,	PUNCT
bracis-19050	168	14	and	and	CCONJ
bracis-19050	168	15	maybe	maybe	ADV
bracis-19050	168	16	some	some	DET
bracis-19050	168	17	highlighted	highlight	VERB
bracis-19050	168	18	coefficients	coefficient	NOUN
bracis-19050	168	19	were	be	AUX
bracis-19050	168	20	statistically	statistically	ADV
bracis-19050	168	21	insignificant	insignificant	ADJ
bracis-19050	168	22	.	.	PUNCT
bracis-19050	169	1	however	however	ADV
bracis-19050	169	2	,	,	PUNCT
bracis-19050	169	3	neither	neither	PRON
bracis-19050	169	4	of	of	ADP
bracis-19050	169	5	these	these	PRON
bracis-19050	169	6	are	be	AUX
bracis-19050	169	7	of	of	ADP
bracis-19050	169	8	concern	concern	NOUN
bracis-19050	169	9	for	for	ADP
bracis-19050	169	10	our	our	PRON
bracis-19050	169	11	metrics	metric	NOUN
bracis-19050	169	12	.	.	PUNCT
bracis-19050	170	1	fig	fig	NOUN
bracis-19050	170	2	.	.	PUNCT
bracis-19050	171	1	2	2	NUM
bracis-19050	171	2	.	.	X
bracis-19050	171	3	β	β	NOUN
bracis-19050	171	4	-	-	PUNCT
bracis-19050	171	5	coefficients	coefficient	NOUN
bracis-19050	171	6	and	and	CCONJ
bracis-19050	171	7	the	the	DET
bracis-19050	171	8	proposed	propose	VERB
bracis-19050	171	9	metrics	metric	NOUN
bracis-19050	171	10	of	of	ADP
bracis-19050	171	11	lr	lr	NOUN
bracis-19050	171	12	model	model	NOUN
bracis-19050	171	13	for	for	ADP
bracis-19050	171	14	the	the	DET
bracis-19050	171	15	breast	breast	NOUN
bracis-19050	171	16	cancer	cancer	NOUN
bracis-19050	171	17	data	datum	NOUN
bracis-19050	171	18	full	full	ADJ
bracis-19050	171	19	size	size	NOUN
bracis-19050	171	20	image	image	NOUN
bracis-19050	171	21	figure	figure	NOUN
bracis-19050	171	22	 	 	SPACE
bracis-19050	171	23	3	3	NUM
bracis-19050	171	24	illustrates	illustrate	VERB
bracis-19050	171	25	the	the	DET
bracis-19050	171	26	permutation	permutation	NOUN
bracis-19050	171	27	feature	feature	NOUN
bracis-19050	171	28	importance	importance	NOUN
bracis-19050	171	29	from	from	ADP
bracis-19050	171	30	the	the	DET
bracis-19050	171	31	rf	rf	NOUN
bracis-19050	171	32	and	and	CCONJ
bracis-19050	171	33	the	the	DET
bracis-19050	171	34	proposed	propose	VERB
bracis-19050	171	35	metrics	metric	NOUN
bracis-19050	171	36	.	.	PUNCT
bracis-19050	172	1	the	the	DET
bracis-19050	172	2	features	feature	NOUN
bracis-19050	172	3	set	set	VERB
bracis-19050	172	4	highlighted	highlight	VERB
bracis-19050	172	5	by	by	ADP
bracis-19050	172	6	all	all	DET
bracis-19050	172	7	metrics	metric	NOUN
bracis-19050	172	8	is	be	AUX
bracis-19050	172	9	similar	similar	ADJ
bracis-19050	172	10	with	with	ADP
bracis-19050	172	11	a	a	DET
bracis-19050	172	12	high	high	ADJ
bracis-19050	172	13	correlation	correlation	NOUN
bracis-19050	172	14	.	.	PUNCT
bracis-19050	173	1	in	in	ADP
bracis-19050	173	2	addition	addition	NOUN
bracis-19050	173	3	,	,	PUNCT
bracis-19050	173	4	surprisingly	surprisingly	ADV
bracis-19050	173	5	,	,	PUNCT
bracis-19050	173	6	the	the	DET
bracis-19050	173	7	aabsa	aabsa	PROPN
bracis-19050	173	8	is	be	AUX
bracis-19050	173	9	fairly	fairly	ADV
bracis-19050	173	10	close	close	ADJ
bracis-19050	173	11	to	to	ADP
bracis-19050	173	12	the	the	DET
bracis-19050	173	13	permutation	permutation	NOUN
bracis-19050	173	14	feature	feature	NOUN
bracis-19050	173	15	importance	importance	NOUN
bracis-19050	173	16	.	.	PUNCT
bracis-19050	174	1	both	both	PRON
bracis-19050	174	2	are	be	AUX
bracis-19050	174	3	only	only	ADV
bracis-19050	174	4	positive	positive	ADJ
bracis-19050	174	5	and	and	CCONJ
bracis-19050	174	6	only	only	ADV
bracis-19050	174	7	account	account	NOUN
bracis-19050	174	8	for	for	ADP
bracis-19050	174	9	the	the	DET
bracis-19050	174	10	amount	amount	NOUN
bracis-19050	174	11	of	of	ADP
bracis-19050	174	12	feature	feature	NOUN
bracis-19050	174	13	contributions	contribution	NOUN
bracis-19050	174	14	.	.	PUNCT
bracis-19050	175	1	however	however	ADV
bracis-19050	175	2	,	,	PUNCT
bracis-19050	175	3	they	they	PRON
bracis-19050	175	4	are	be	AUX
bracis-19050	175	5	built	build	VERB
bracis-19050	175	6	differently	differently	ADV
bracis-19050	175	7	.	.	PUNCT
bracis-19050	176	1	while	while	SCONJ
bracis-19050	176	2	aabsa	aabsa	NOUN
bracis-19050	176	3	metrics	metric	VERB
bracis-19050	176	4	the	the	DET
bracis-19050	176	5	average	average	ADJ
bracis-19050	176	6	change	change	NOUN
bracis-19050	176	7	from	from	ADP
bracis-19050	176	8	the	the	DET
bracis-19050	176	9	expected	expect	VERB
bracis-19050	176	10	ales	ale	NOUN
bracis-19050	176	11	mean	mean	VERB
bracis-19050	176	12	(	(	PUNCT
bracis-19050	176	13	ale	ale	NOUN
bracis-19050	176	14	0	0	NUM
bracis-19050	176	15	)	)	PUNCT
bracis-19050	176	16	,	,	PUNCT
bracis-19050	176	17	permutation	permutation	NOUN
bracis-19050	176	18	is	be	AUX
bracis-19050	176	19	related	relate	VERB
bracis-19050	176	20	to	to	ADP
bracis-19050	176	21	increasing	increase	VERB
bracis-19050	176	22	the	the	DET
bracis-19050	176	23	prediction	prediction	NOUN
bracis-19050	176	24	error	error	NOUN
bracis-19050	176	25	after	after	ADP
bracis-19050	176	26	permuting	permute	VERB
bracis-19050	176	27	a	a	DET
bracis-19050	176	28	feature	feature	NOUN
bracis-19050	176	29	.	.	PUNCT
bracis-19050	177	1	hence	hence	ADV
bracis-19050	177	2	,	,	PUNCT
bracis-19050	177	3	it	it	PRON
bracis-19050	177	4	may	may	AUX
bracis-19050	177	5	be	be	AUX
bracis-19050	177	6	due	due	ADJ
bracis-19050	177	7	to	to	ADP
bracis-19050	177	8	the	the	DET
bracis-19050	177	9	simplicity	simplicity	NOUN
bracis-19050	177	10	of	of	ADP
bracis-19050	177	11	the	the	DET
bracis-19050	177	12	classification	classification	NOUN
bracis-19050	177	13	task	task	NOUN
bracis-19050	177	14	on	on	ADP
bracis-19050	177	15	the	the	DET
bracis-19050	177	16	cancer	cancer	NOUN
bracis-19050	177	17	data	datum	NOUN
bracis-19050	177	18	[	[	X
bracis-19050	177	19	24	24	NUM
bracis-19050	177	20	]	]	PUNCT
bracis-19050	177	21	.	.	PUNCT
bracis-19050	178	1	fig	fig	NOUN
bracis-19050	178	2	.	.	PUNCT
bracis-19050	179	1	3	3	X
bracis-19050	179	2	.	.	NOUN
bracis-19050	179	3	feature	feature	NOUN
bracis-19050	179	4	importance	importance	NOUN
bracis-19050	179	5	and	and	CCONJ
bracis-19050	179	6	the	the	DET
bracis-19050	179	7	proposed	propose	VERB
bracis-19050	179	8	metrics	metric	NOUN
bracis-19050	179	9	of	of	ADP
bracis-19050	179	10	rf	rf	NOUN
bracis-19050	179	11	model	model	NOUN
bracis-19050	179	12	for	for	ADP
bracis-19050	179	13	the	the	DET
bracis-19050	179	14	breast	breast	NOUN
bracis-19050	179	15	cancer	cancer	NOUN
bracis-19050	179	16	data	datum	NOUN
bracis-19050	179	17	full	full	ADJ
bracis-19050	179	18	size	size	NOUN
bracis-19050	179	19	image	image	NOUN
bracis-19050	179	20	4.2	4.2	NUM
bracis-19050	179	21	brazilian	brazilian	ADJ
bracis-19050	179	22	secondary	secondary	ADJ
bracis-19050	179	23	educational	educational	ADJ
bracis-19050	179	24	data	datum	NOUN
bracis-19050	179	25	the	the	DET
bracis-19050	179	26	second	second	ADJ
bracis-19050	179	27	part	part	NOUN
bracis-19050	179	28	of	of	ADP
bracis-19050	179	29	the	the	DET
bracis-19050	179	30	experiment	experiment	NOUN
bracis-19050	179	31	demonstrates	demonstrate	VERB
bracis-19050	179	32	how	how	SCONJ
bracis-19050	179	33	single	single	ADJ
bracis-19050	179	34	feature	feature	NOUN
bracis-19050	179	35	importance	importance	NOUN
bracis-19050	179	36	may	may	AUX
bracis-19050	179	37	be	be	AUX
bracis-19050	179	38	helpful	helpful	ADJ
bracis-19050	179	39	in	in	ADP
bracis-19050	179	40	practice	practice	NOUN
bracis-19050	179	41	.	.	PUNCT
bracis-19050	180	1	the	the	DET
bracis-19050	180	2	data	datum	NOUN
bracis-19050	180	3	was	be	AUX
bracis-19050	180	4	taken	take	VERB
bracis-19050	180	5	from	from	ADP
bracis-19050	180	6	the	the	DET
bracis-19050	180	7	2009–2019	2009–2019	NUM
bracis-19050	180	8	period	period	NOUN
bracis-19050	180	9	of	of	ADP
bracis-19050	180	10	the	the	DET
bracis-19050	180	11	largest	large	ADJ
bracis-19050	180	12	test	test	NOUN
bracis-19050	180	13	for	for	ADP
bracis-19050	180	14	secondary	secondary	ADJ
bracis-19050	180	15	education	education	NOUN
bracis-19050	180	16	in	in	ADP
bracis-19050	180	17	brazil	brazil	PROPN
bracis-19050	180	18	.	.	PUNCT
bracis-19050	181	1	the	the	DET
bracis-19050	181	2	dataset	dataset	NOUN
bracis-19050	181	3	contained	contain	VERB
bracis-19050	181	4	demographic	demographic	ADJ
bracis-19050	181	5	and	and	CCONJ
bracis-19050	181	6	socioeconomic	socioeconomic	ADJ
bracis-19050	181	7	information	information	NOUN
bracis-19050	181	8	on	on	ADP
bracis-19050	181	9	students	student	NOUN
bracis-19050	181	10	,	,	PUNCT
bracis-19050	181	11	and	and	CCONJ
bracis-19050	181	12	school	school	NOUN
bracis-19050	181	13	characteristics	characteristic	NOUN
bracis-19050	181	14	over	over	ADP
bracis-19050	181	15	32	32	NUM
bracis-19050	181	16	features	feature	NOUN
bracis-19050	181	17	.	.	PUNCT
bracis-19050	182	1	the	the	DET
bracis-19050	182	2	data	datum	NOUN
bracis-19050	182	3	included	include	VERB
bracis-19050	182	4	more	more	ADJ
bracis-19050	182	5	than	than	ADP
bracis-19050	182	6	ten	ten	NUM
bracis-19050	182	7	million	million	NUM
bracis-19050	182	8	students	student	NOUN
bracis-19050	182	9	and	and	CCONJ
bracis-19050	182	10	was	be	AUX
bracis-19050	182	11	preprocessed	preprocesse	VERB
bracis-19050	182	12	to	to	ADP
bracis-19050	182	13	the	the	DET
bracis-19050	182	14	school	school	NOUN
bracis-19050	182	15	grain	grain	NOUN
bracis-19050	182	16	.	.	PUNCT
bracis-19050	183	1	the	the	DET
bracis-19050	183	2	school	school	NOUN
bracis-19050	183	3	was	be	AUX
bracis-19050	183	4	classified	classify	VERB
bracis-19050	183	5	as	as	ADP
bracis-19050	183	6	good	good	ADJ
bracis-19050	183	7	or	or	CCONJ
bracis-19050	183	8	bad	bad	ADJ
bracis-19050	183	9	in	in	ADP
bracis-19050	183	10	relation	relation	NOUN
bracis-19050	183	11	to	to	ADP
bracis-19050	183	12	the	the	DET
bracis-19050	183	13	average	average	ADJ
bracis-19050	183	14	scores	score	NOUN
bracis-19050	183	15	achieved	achieve	VERB
bracis-19050	183	16	by	by	ADP
bracis-19050	183	17	their	their	PRON
bracis-19050	183	18	students	student	NOUN
bracis-19050	183	19	in	in	ADP
bracis-19050	183	20	the	the	DET
bracis-19050	183	21	test	test	NOUN
bracis-19050	183	22	.	.	PUNCT
bracis-19050	184	1	to	to	PART
bracis-19050	184	2	highlight	highlight	VERB
bracis-19050	184	3	the	the	DET
bracis-19050	184	4	model	model	ADJ
bracis-19050	184	5	-	-	ADJ
bracis-19050	184	6	agnostic	agnostic	ADJ
bracis-19050	184	7	framework	framework	NOUN
bracis-19050	184	8	,	,	PUNCT
bracis-19050	184	9	two	two	NUM
bracis-19050	184	10	tree	tree	NOUN
bracis-19050	184	11	-	-	PUNCT
bracis-19050	184	12	based	base	VERB
bracis-19050	184	13	classifiers	classifier	NOUN
bracis-19050	184	14	(	(	PUNCT
bracis-19050	184	15	rf	rf	NOUN
bracis-19050	184	16	and	and	CCONJ
bracis-19050	184	17	adaboost	adaboost	ADV
bracis-19050	184	18	(	(	PUNCT
bracis-19050	184	19	ab	ab	NOUN
bracis-19050	184	20	)	)	PUNCT
bracis-19050	184	21	)	)	PUNCT
bracis-19050	184	22	were	be	AUX
bracis-19050	184	23	applied	apply	VERB
bracis-19050	184	24	combined	combine	VERB
bracis-19050	184	25	in	in	ADP
bracis-19050	184	26	a	a	DET
bracis-19050	184	27	10	10	NUM
bracis-19050	184	28	-	-	ADJ
bracis-19050	184	29	fold	fold	ADJ
bracis-19050	184	30	cross	cross	ADJ
bracis-19050	184	31	-	-	ADJ
bracis-19050	184	32	validation	validation	ADJ
bracis-19050	184	33	setting	setting	NOUN
bracis-19050	184	34	,	,	PUNCT
bracis-19050	184	35	and	and	CCONJ
bracis-19050	184	36	the	the	DET
bracis-19050	184	37	overall	overall	ADJ
bracis-19050	184	38	mean	mean	NOUN
bracis-19050	184	39	was	be	AUX
bracis-19050	184	40	adopted	adopt	VERB
bracis-19050	184	41	for	for	ADP
bracis-19050	184	42	each	each	DET
bracis-19050	184	43	metric	metric	NOUN
bracis-19050	184	44	.	.	PUNCT
bracis-19050	185	1	thus	thus	ADV
bracis-19050	185	2	,	,	PUNCT
bracis-19050	185	3	systematized	systematize	VERB
bracis-19050	185	4	temporal	temporal	ADJ
bracis-19050	185	5	data	datum	NOUN
bracis-19050	185	6	mining	mining	NOUN
bracis-19050	185	7	evaluated	evaluate	VERB
bracis-19050	185	8	how	how	SCONJ
bracis-19050	185	9	the	the	DET
bracis-19050	185	10	main	main	ADJ
bracis-19050	185	11	features	feature	NOUN
bracis-19050	185	12	related	relate	VERB
bracis-19050	185	13	to	to	ADP
bracis-19050	185	14	the	the	DET
bracis-19050	185	15	performance	performance	NOUN
bracis-19050	185	16	of	of	ADP
bracis-19050	185	17	the	the	DET
bracis-19050	185	18	school	school	NOUN
bracis-19050	185	19	had	have	AUX
bracis-19050	185	20	behaved	behave	VERB
bracis-19050	185	21	over	over	ADP
bracis-19050	185	22	the	the	DET
bracis-19050	185	23	years	year	NOUN
bracis-19050	185	24	.	.	PUNCT
bracis-19050	186	1	due	due	ADP
bracis-19050	186	2	to	to	ADP
bracis-19050	186	3	space	space	NOUN
bracis-19050	186	4	limitations	limitation	NOUN
bracis-19050	186	5	,	,	PUNCT
bracis-19050	186	6	only	only	ADV
bracis-19050	186	7	the	the	DET
bracis-19050	186	8	max	max	PROPN
bracis-19050	186	9	uncentered	uncentered	ADJ
bracis-19050	186	10	ale	ale	NOUN
bracis-19050	186	11	mua	mua	NOUN
bracis-19050	186	12	was	be	AUX
bracis-19050	186	13	reported	report	VERB
bracis-19050	186	14	by	by	ADP
bracis-19050	186	15	three	three	NUM
bracis-19050	186	16	plots	plot	NOUN
bracis-19050	186	17	presenting	present	VERB
bracis-19050	186	18	the	the	DET
bracis-19050	186	19	outputs	output	NOUN
bracis-19050	186	20	,	,	PUNCT
bracis-19050	186	21	as	as	SCONJ
bracis-19050	186	22	discussed	discuss	VERB
bracis-19050	186	23	below	below	ADV
bracis-19050	186	24	.	.	PUNCT
bracis-19050	187	1	figure	figure	VERB
bracis-19050	187	2	 	 	SPACE
bracis-19050	187	3	4	4	NUM
bracis-19050	187	4	presents	present	VERB
bracis-19050	187	5	a	a	DET
bracis-19050	187	6	box	box	NOUN
bracis-19050	187	7	plot	plot	NOUN
bracis-19050	187	8	with	with	ADP
bracis-19050	187	9	the	the	DET
bracis-19050	187	10	mua	mua	NOUN
bracis-19050	187	11	for	for	ADP
bracis-19050	187	12	each	each	DET
bracis-19050	187	13	feature	feature	NOUN
bracis-19050	187	14	.	.	PUNCT
bracis-19050	188	1	the	the	DET
bracis-19050	188	2	clarity	clarity	NOUN
bracis-19050	188	3	of	of	ADP
bracis-19050	188	4	colored	colored	ADJ
bracis-19050	188	5	dots	dot	NOUN
bracis-19050	188	6	illustrates	illustrate	VERB
bracis-19050	188	7	the	the	DET
bracis-19050	188	8	evolutionary	evolutionary	ADJ
bracis-19050	188	9	directions	direction	NOUN
bracis-19050	188	10	of	of	ADP
bracis-19050	188	11	the	the	DET
bracis-19050	188	12	variable	variable	NOUN
bracis-19050	188	13	over	over	ADP
bracis-19050	188	14	the	the	DET
bracis-19050	188	15	years	year	NOUN
bracis-19050	188	16	.	.	PUNCT
bracis-19050	189	1	the	the	DET
bracis-19050	189	2	income	income	NOUN
bracis-19050	189	3	per	per	ADP
bracis-19050	189	4	capita	capita	NOUN
bracis-19050	189	5	of	of	ADP
bracis-19050	189	6	students	student	NOUN
bracis-19050	189	7	is	be	AUX
bracis-19050	189	8	the	the	DET
bracis-19050	189	9	feature	feature	NOUN
bracis-19050	189	10	with	with	ADP
bracis-19050	189	11	the	the	DET
bracis-19050	189	12	highest	high	ADJ
bracis-19050	189	13	importance	importance	NOUN
bracis-19050	189	14	during	during	ADP
bracis-19050	189	15	the	the	DET
bracis-19050	189	16	whole	whole	ADJ
bracis-19050	189	17	period	period	NOUN
bracis-19050	189	18	.	.	PUNCT
bracis-19050	190	1	this	this	PRON
bracis-19050	190	2	is	be	AUX
bracis-19050	190	3	followed	follow	VERB
bracis-19050	190	4	by	by	ADP
bracis-19050	190	5	parent	parent	NOUN
bracis-19050	190	6	’s	’s	PART
bracis-19050	190	7	education	education	NOUN
bracis-19050	190	8	and	and	CCONJ
bracis-19050	190	9	the	the	DET
bracis-19050	190	10	students	student	NOUN
bracis-19050	190	11	’	’	PART
bracis-19050	190	12	race	race	NOUN
bracis-19050	190	13	(	(	PUNCT
bracis-19050	190	14	brown	brown	ADJ
bracis-19050	190	15	students	student	NOUN
bracis-19050	190	16	’	'	PUNCT
bracis-19050	190	17	negative	negative	ADJ
bracis-19050	190	18	effects	effect	NOUN
bracis-19050	190	19	)	)	PUNCT
bracis-19050	190	20	.	.	PUNCT
bracis-19050	191	1	the	the	DET
bracis-19050	191	2	importance	importance	NOUN
bracis-19050	191	3	of	of	ADP
bracis-19050	191	4	student	student	NOUN
bracis-19050	191	5	computers	computer	NOUN
bracis-19050	191	6	seems	seem	VERB
bracis-19050	191	7	to	to	PART
bracis-19050	191	8	be	be	AUX
bracis-19050	191	9	a	a	DET
bracis-19050	191	10	growing	grow	VERB
bracis-19050	191	11	tendency	tendency	NOUN
bracis-19050	191	12	over	over	ADP
bracis-19050	191	13	the	the	DET
bracis-19050	191	14	years	year	NOUN
bracis-19050	191	15	.	.	PUNCT
bracis-19050	192	1	fig	fig	NOUN
bracis-19050	192	2	.	.	PUNCT
bracis-19050	193	1	4	4	X
bracis-19050	193	2	.	.	NOUN
bracis-19050	193	3	feature	feature	NOUN
bracis-19050	193	4	importance	importance	NOUN
bracis-19050	193	5	(	(	PUNCT
bracis-19050	193	6	mua	mua	NOUN
bracis-19050	193	7	)	)	PUNCT
bracis-19050	193	8	during	during	ADP
bracis-19050	193	9	the	the	DET
bracis-19050	193	10	period	period	NOUN
bracis-19050	193	11	(	(	PUNCT
bracis-19050	193	12	rf	rf	NOUN
bracis-19050	193	13	and	and	CCONJ
bracis-19050	193	14	ab	ab	PROPN
bracis-19050	193	15	means	mean	NOUN
bracis-19050	193	16	)	)	PUNCT
bracis-19050	193	17	(	(	PUNCT
bracis-19050	193	18	color	color	NOUN
bracis-19050	193	19	figure	figure	NOUN
bracis-19050	193	20	online	online	ADV
bracis-19050	193	21	)	)	PUNCT
bracis-19050	193	22	full	full	ADJ
bracis-19050	193	23	size	size	NOUN
bracis-19050	193	24	image	image	NOUN
bracis-19050	193	25	figure	figure	NOUN
bracis-19050	193	26	 	 	SPACE
bracis-19050	193	27	5	5	NUM
bracis-19050	193	28	separates	separate	VERB
bracis-19050	193	29	a	a	DET
bracis-19050	193	30	selected	select	VERB
bracis-19050	193	31	set	set	NOUN
bracis-19050	193	32	of	of	ADP
bracis-19050	193	33	features	feature	NOUN
bracis-19050	193	34	to	to	PART
bracis-19050	193	35	obtain	obtain	VERB
bracis-19050	193	36	a	a	DET
bracis-19050	193	37	better	well	ADJ
bracis-19050	193	38	understanding	understanding	NOUN
bracis-19050	193	39	of	of	ADP
bracis-19050	193	40	their	their	PRON
bracis-19050	193	41	behavior	behavior	NOUN
bracis-19050	193	42	during	during	ADP
bracis-19050	193	43	the	the	DET
bracis-19050	193	44	period	period	NOUN
bracis-19050	193	45	.	.	PUNCT
bracis-19050	194	1	the	the	DET
bracis-19050	194	2	computer	computer	NOUN
bracis-19050	194	3	lab	lab	NOUN
bracis-19050	194	4	has	have	VERB
bracis-19050	194	5	a	a	DET
bracis-19050	194	6	higher	high	ADJ
bracis-19050	194	7	positive	positive	ADJ
bracis-19050	194	8	slope	slope	NOUN
bracis-19050	194	9	,	,	PUNCT
bracis-19050	194	10	while	while	SCONJ
bracis-19050	194	11	faculty	faculty	NOUN
bracis-19050	194	12	jobs	job	NOUN
bracis-19050	194	13	(	(	PUNCT
bracis-19050	194	14	the	the	DET
bracis-19050	194	15	number	number	NOUN
bracis-19050	194	16	of	of	ADP
bracis-19050	194	17	schools	school	NOUN
bracis-19050	194	18	where	where	SCONJ
bracis-19050	194	19	teachers	teacher	NOUN
bracis-19050	194	20	work	work	VERB
bracis-19050	194	21	)	)	PUNCT
bracis-19050	194	22	have	have	VERB
bracis-19050	194	23	a	a	DET
bracis-19050	194	24	higher	high	ADJ
bracis-19050	194	25	negative	negative	NOUN
bracis-19050	194	26	.	.	PUNCT
bracis-19050	195	1	fig	fig	NOUN
bracis-19050	195	2	.	.	PUNCT
bracis-19050	196	1	5	5	NUM
bracis-19050	196	2	.	.	X
bracis-19050	196	3	evolution	evolution	NOUN
bracis-19050	196	4	of	of	ADP
bracis-19050	196	5	the	the	DET
bracis-19050	196	6	feature	feature	NOUN
bracis-19050	196	7	importance	importance	NOUN
bracis-19050	196	8	(	(	PUNCT
bracis-19050	196	9	mua	mua	NOUN
bracis-19050	196	10	)	)	PUNCT
bracis-19050	196	11	of	of	ADP
bracis-19050	196	12	a	a	DET
bracis-19050	196	13	selected	select	VERB
bracis-19050	196	14	features	feature	NOUN
bracis-19050	196	15	set	set	VERB
bracis-19050	196	16	(	(	PUNCT
bracis-19050	196	17	rf	rf	NOUN
bracis-19050	196	18	and	and	CCONJ
bracis-19050	196	19	ab	ab	PROPN
bracis-19050	196	20	means	mean	NOUN
bracis-19050	196	21	)	)	PUNCT
bracis-19050	196	22	full	full	ADJ
bracis-19050	196	23	size	size	NOUN
bracis-19050	196	24	image	image	NOUN
bracis-19050	196	25	lastly	lastly	ADV
bracis-19050	196	26	,	,	PUNCT
bracis-19050	196	27	in	in	ADP
bracis-19050	196	28	fig	fig	NOUN
bracis-19050	196	29	.	.	PUNCT
bracis-19050	196	30	 	 	SPACE
bracis-19050	197	1	6	6	NUM
bracis-19050	197	2	,	,	PUNCT
bracis-19050	197	3	temporality	temporality	NOUN
bracis-19050	197	4	was	be	AUX
bracis-19050	197	5	disregarded	disregard	VERB
bracis-19050	197	6	,	,	PUNCT
bracis-19050	197	7	and	and	CCONJ
bracis-19050	197	8	the	the	DET
bracis-19050	197	9	features	feature	NOUN
bracis-19050	197	10	were	be	AUX
bracis-19050	197	11	organized	organize	VERB
bracis-19050	197	12	for	for	ADP
bracis-19050	197	13	an	an	DET
bracis-19050	197	14	overview	overview	NOUN
bracis-19050	197	15	of	of	ADP
bracis-19050	197	16	their	their	PRON
bracis-19050	197	17	importance	importance	NOUN
bracis-19050	197	18	in	in	ADP
bracis-19050	197	19	the	the	DET
bracis-19050	197	20	following	follow	VERB
bracis-19050	197	21	groups	group	NOUN
bracis-19050	197	22	:	:	PUNCT
bracis-19050	197	23	non	non	ADJ
bracis-19050	197	24	-	-	ADJ
bracis-19050	197	25	actionable	actionable	ADJ
bracis-19050	197	26	features	feature	NOUN
bracis-19050	197	27	(	(	PUNCT
bracis-19050	197	28	race	race	NOUN
bracis-19050	197	29	and	and	CCONJ
bracis-19050	197	30	gender	gender	NOUN
bracis-19050	197	31	)	)	PUNCT
bracis-19050	197	32	,	,	PUNCT
bracis-19050	197	33	school	school	NOUN
bracis-19050	197	34	features	feature	NOUN
bracis-19050	197	35	(	(	PUNCT
bracis-19050	197	36	infrastructure	infrastructure	NOUN
bracis-19050	197	37	)	)	PUNCT
bracis-19050	197	38	,	,	PUNCT
bracis-19050	197	39	student	student	NOUN
bracis-19050	197	40	features	feature	NOUN
bracis-19050	197	41	(	(	PUNCT
bracis-19050	197	42	parent	parent	NOUN
bracis-19050	197	43	’s	’s	PART
bracis-19050	197	44	education	education	NOUN
bracis-19050	197	45	and	and	CCONJ
bracis-19050	197	46	income	income	NOUN
bracis-19050	197	47	)	)	PUNCT
bracis-19050	197	48	and	and	CCONJ
bracis-19050	197	49	teacher	teacher	NOUN
bracis-19050	197	50	features	feature	NOUN
bracis-19050	197	51	.	.	PUNCT
bracis-19050	198	1	in	in	ADP
bracis-19050	198	2	general	general	ADJ
bracis-19050	198	3	,	,	PUNCT
bracis-19050	198	4	the	the	DET
bracis-19050	198	5	group	group	NOUN
bracis-19050	198	6	of	of	ADP
bracis-19050	198	7	features	feature	NOUN
bracis-19050	198	8	related	relate	VERB
bracis-19050	198	9	to	to	ADP
bracis-19050	198	10	students	student	NOUN
bracis-19050	198	11	demonstrated	demonstrate	VERB
bracis-19050	198	12	more	more	ADJ
bracis-19050	198	13	potential	potential	ADJ
bracis-19050	198	14	to	to	PART
bracis-19050	198	15	improve	improve	VERB
bracis-19050	198	16	the	the	DET
bracis-19050	198	17	quality	quality	NOUN
bracis-19050	198	18	of	of	ADP
bracis-19050	198	19	schools	school	NOUN
bracis-19050	198	20	than	than	ADP
bracis-19050	198	21	others	other	NOUN
bracis-19050	198	22	.	.	PUNCT
bracis-19050	199	1	additionally	additionally	ADV
bracis-19050	199	2	,	,	PUNCT
bracis-19050	199	3	non	non	ADJ
bracis-19050	199	4	-	-	ADJ
bracis-19050	199	5	actionable	actionable	ADJ
bracis-19050	199	6	features	feature	NOUN
bracis-19050	199	7	had	have	VERB
bracis-19050	199	8	a	a	DET
bracis-19050	199	9	strong	strong	ADJ
bracis-19050	199	10	influence	influence	NOUN
bracis-19050	199	11	,	,	PUNCT
bracis-19050	199	12	both	both	CCONJ
bracis-19050	199	13	negative	negative	ADJ
bracis-19050	199	14	and	and	CCONJ
bracis-19050	199	15	positive	positive	ADJ
bracis-19050	199	16	.	.	PUNCT
bracis-19050	200	1	fig	fig	NOUN
bracis-19050	200	2	.	.	PUNCT
bracis-19050	201	1	6	6	NUM
bracis-19050	201	2	.	.	X
bracis-19050	201	3	feature	feature	NOUN
bracis-19050	201	4	importance	importance	NOUN
bracis-19050	201	5	(	(	PUNCT
bracis-19050	201	6	mua	mua	NOUN
bracis-19050	201	7	)	)	PUNCT
bracis-19050	201	8	by	by	ADP
bracis-19050	201	9	groups	group	NOUN
bracis-19050	201	10	during	during	ADP
bracis-19050	201	11	the	the	DET
bracis-19050	201	12	period	period	NOUN
bracis-19050	201	13	(	(	PUNCT
bracis-19050	201	14	rf	rf	NOUN
bracis-19050	201	15	and	and	CCONJ
bracis-19050	201	16	ab	ab	PROPN
bracis-19050	201	17	means	mean	NOUN
bracis-19050	201	18	)	)	PUNCT
bracis-19050	201	19	full	full	ADJ
bracis-19050	201	20	size	size	NOUN
bracis-19050	201	21	image	image	NOUN
bracis-19050	201	22	5	5	NUM
bracis-19050	201	23	discussion	discussion	NOUN
bracis-19050	201	24	and	and	CCONJ
bracis-19050	201	25	conclusion	conclusion	NOUN
bracis-19050	201	26	this	this	DET
bracis-19050	201	27	paper	paper	NOUN
bracis-19050	201	28	has	have	AUX
bracis-19050	201	29	proposed	propose	VERB
bracis-19050	201	30	new	new	ADJ
bracis-19050	201	31	model	model	ADJ
bracis-19050	201	32	-	-	ADJ
bracis-19050	201	33	agnostic	agnostic	ADJ
bracis-19050	201	34	metrics	metric	NOUN
bracis-19050	201	35	of	of	ADP
bracis-19050	201	36	feature	feature	NOUN
bracis-19050	201	37	importance	importance	NOUN
bracis-19050	201	38	in	in	ADP
bracis-19050	201	39	an	an	DET
bracis-19050	201	40	attempt	attempt	NOUN
bracis-19050	201	41	to	to	PART
bracis-19050	201	42	circumvent	circumvent	VERB
bracis-19050	201	43	the	the	DET
bracis-19050	201	44	drawbacks	drawback	NOUN
bracis-19050	201	45	and	and	CCONJ
bracis-19050	201	46	constraints	constraint	NOUN
bracis-19050	201	47	of	of	ADP
bracis-19050	201	48	the	the	DET
bracis-19050	201	49	existing	exist	VERB
bracis-19050	201	50	methods	method	NOUN
bracis-19050	201	51	,	,	PUNCT
bracis-19050	201	52	such	such	ADJ
bracis-19050	201	53	as	as	ADP
bracis-19050	201	54	the	the	DET
bracis-19050	201	55	βcoefficients	βcoefficient	NOUN
bracis-19050	201	56	of	of	ADP
bracis-19050	201	57	additive	additive	ADJ
bracis-19050	201	58	models	model	NOUN
bracis-19050	201	59	and	and	CCONJ
bracis-19050	201	60	feature	feature	NOUN
bracis-19050	201	61	importance	importance	NOUN
bracis-19050	201	62	from	from	ADP
bracis-19050	201	63	tree	tree	NOUN
bracis-19050	201	64	-	-	PUNCT
bracis-19050	201	65	based	base	VERB
bracis-19050	201	66	algorithms	algorithm	NOUN
bracis-19050	201	67	,	,	PUNCT
bracis-19050	201	68	widely	widely	ADV
bracis-19050	201	69	used	use	VERB
bracis-19050	201	70	for	for	ADP
bracis-19050	201	71	this	this	DET
bracis-19050	201	72	purpose	purpose	NOUN
bracis-19050	201	73	.	.	PUNCT
bracis-19050	202	1	this	this	DET
bracis-19050	202	2	paper	paper	NOUN
bracis-19050	202	3	has	have	AUX
bracis-19050	202	4	proposed	propose	VERB
bracis-19050	202	5	other	other	ADJ
bracis-19050	202	6	options	option	NOUN
bracis-19050	202	7	with	with	ADP
bracis-19050	202	8	a	a	DET
bracis-19050	202	9	number	number	NOUN
bracis-19050	202	10	of	of	ADP
bracis-19050	202	11	advantages	advantage	NOUN
bracis-19050	202	12	,	,	PUNCT
bracis-19050	202	13	such	such	ADJ
bracis-19050	202	14	as	as	ADP
bracis-19050	202	15	being	be	AUX
bracis-19050	202	16	agnostic	agnostic	ADJ
bracis-19050	202	17	to	to	ADP
bracis-19050	202	18	models	model	NOUN
bracis-19050	202	19	,	,	PUNCT
bracis-19050	202	20	interpretable	interpretable	ADJ
bracis-19050	202	21	in	in	ADP
bracis-19050	202	22	the	the	DET
bracis-19050	202	23	probability	probability	NOUN
bracis-19050	202	24	scale	scale	NOUN
bracis-19050	202	25	,	,	PUNCT
bracis-19050	202	26	and	and	CCONJ
bracis-19050	202	27	more	more	ADV
bracis-19050	202	28	reliable	reliable	ADJ
bracis-19050	202	29	under	under	ADP
bracis-19050	202	30	correlated	correlate	VERB
bracis-19050	202	31	data	datum	NOUN
bracis-19050	202	32	.	.	PUNCT
bracis-19050	203	1	the	the	DET
bracis-19050	203	2	accumulated	accumulate	VERB
bracis-19050	203	3	local	local	ADJ
bracis-19050	203	4	effects	effect	NOUN
bracis-19050	203	5	are	be	AUX
bracis-19050	203	6	the	the	DET
bracis-19050	203	7	key	key	ADJ
bracis-19050	203	8	trick	trick	NOUN
bracis-19050	203	9	for	for	ADP
bracis-19050	203	10	isolating	isolate	VERB
bracis-19050	203	11	the	the	DET
bracis-19050	203	12	main	main	ADJ
bracis-19050	203	13	effect	effect	NOUN
bracis-19050	203	14	of	of	ADP
bracis-19050	203	15	the	the	DET
bracis-19050	203	16	variable	variable	NOUN
bracis-19050	203	17	even	even	ADV
bracis-19050	203	18	in	in	ADP
bracis-19050	203	19	correlated	correlate	VERB
bracis-19050	203	20	data	datum	NOUN
bracis-19050	203	21	.	.	PUNCT
bracis-19050	204	1	the	the	DET
bracis-19050	204	2	four	four	NUM
bracis-19050	204	3	proposed	propose	VERB
bracis-19050	204	4	metrics	metric	NOUN
bracis-19050	204	5	were	be	AUX
bracis-19050	204	6	validated	validate	VERB
bracis-19050	204	7	in	in	ADP
bracis-19050	204	8	two	two	NUM
bracis-19050	204	9	experiments	experiment	NOUN
bracis-19050	204	10	that	that	PRON
bracis-19050	204	11	illustrated	illustrate	VERB
bracis-19050	204	12	their	their	PRON
bracis-19050	204	13	suitability	suitability	NOUN
bracis-19050	204	14	to	to	ADP
bracis-19050	204	15	actual	actual	ADJ
bracis-19050	204	16	data	datum	NOUN
bracis-19050	204	17	mining	mining	NOUN
bracis-19050	204	18	applications	application	NOUN
bracis-19050	204	19	.	.	PUNCT
bracis-19050	205	1	in	in	ADP
bracis-19050	205	2	the	the	DET
bracis-19050	205	3	first	first	ADJ
bracis-19050	205	4	experiment	experiment	NOUN
bracis-19050	205	5	,	,	PUNCT
bracis-19050	205	6	breast	breast	NOUN
bracis-19050	205	7	cancer	cancer	NOUN
bracis-19050	205	8	data	datum	NOUN
bracis-19050	205	9	were	be	AUX
bracis-19050	205	10	used	use	VERB
bracis-19050	205	11	to	to	PART
bracis-19050	205	12	compare	compare	VERB
bracis-19050	205	13	the	the	DET
bracis-19050	205	14	proposed	propose	VERB
bracis-19050	205	15	metrics	metric	NOUN
bracis-19050	205	16	with	with	ADP
bracis-19050	205	17	the	the	DET
bracis-19050	205	18	coefficients	coefficient	NOUN
bracis-19050	205	19	of	of	ADP
bracis-19050	205	20	logistic	logistic	ADJ
bracis-19050	205	21	regression	regression	NOUN
bracis-19050	205	22	and	and	CCONJ
bracis-19050	205	23	the	the	DET
bracis-19050	205	24	permutation	permutation	NOUN
bracis-19050	205	25	feature	feature	NOUN
bracis-19050	205	26	importance	importance	NOUN
bracis-19050	205	27	of	of	ADP
bracis-19050	205	28	random	random	ADJ
bracis-19050	205	29	forest	forest	NOUN
bracis-19050	205	30	.	.	PUNCT
bracis-19050	206	1	the	the	DET
bracis-19050	206	2	results	result	NOUN
bracis-19050	206	3	illustrated	illustrate	VERB
bracis-19050	206	4	that	that	SCONJ
bracis-19050	206	5	the	the	DET
bracis-19050	206	6	proposed	propose	VERB
bracis-19050	206	7	metrics	metric	NOUN
bracis-19050	206	8	are	be	AUX
bracis-19050	206	9	robust	robust	ADJ
bracis-19050	206	10	when	when	SCONJ
bracis-19050	206	11	facing	face	VERB
bracis-19050	206	12	correlated	correlate	VERB
bracis-19050	206	13	data	datum	NOUN
bracis-19050	206	14	and	and	CCONJ
bracis-19050	206	15	did	do	AUX
bracis-19050	206	16	not	not	PART
bracis-19050	206	17	suffer	suffer	VERB
bracis-19050	206	18	the	the	DET
bracis-19050	206	19	effects	effect	NOUN
bracis-19050	206	20	experienced	experience	VERB
bracis-19050	206	21	by	by	ADP
bracis-19050	206	22	logistic	logistic	ADJ
bracis-19050	206	23	regression	regression	NOUN
bracis-19050	206	24	(	(	PUNCT
bracis-19050	206	25	lr	lr	NOUN
bracis-19050	206	26	)	)	PUNCT
bracis-19050	206	27	.	.	PUNCT
bracis-19050	207	1	all	all	DET
bracis-19050	207	2	the	the	DET
bracis-19050	207	3	proposed	propose	VERB
bracis-19050	207	4	metrics	metric	NOUN
bracis-19050	207	5	captured	capture	VERB
bracis-19050	207	6	the	the	DET
bracis-19050	207	7	desired	desire	VERB
bracis-19050	207	8	aspects	aspect	NOUN
bracis-19050	207	9	of	of	ADP
bracis-19050	207	10	the	the	DET
bracis-19050	207	11	attributes	attribute	NOUN
bracis-19050	207	12	and	and	CCONJ
bracis-19050	207	13	were	be	AUX
bracis-19050	207	14	highly	highly	ADV
bracis-19050	207	15	correlated	correlate	VERB
bracis-19050	207	16	.	.	PUNCT
bracis-19050	208	1	the	the	DET
bracis-19050	208	2	aabsa	aabsa	PROPN
bracis-19050	208	3	proposed	propose	VERB
bracis-19050	208	4	metric	metric	ADJ
bracis-19050	208	5	,	,	PUNCT
bracis-19050	208	6	which	which	PRON
bracis-19050	208	7	is	be	AUX
bracis-19050	208	8	directly	directly	ADV
bracis-19050	208	9	comparable	comparable	ADJ
bracis-19050	208	10	to	to	ADP
bracis-19050	208	11	the	the	DET
bracis-19050	208	12	random	random	ADJ
bracis-19050	208	13	forest	forest	NOUN
bracis-19050	208	14	(	(	PUNCT
bracis-19050	208	15	rf	rf	NOUN
bracis-19050	208	16	)	)	PUNCT
bracis-19050	208	17	,	,	PUNCT
bracis-19050	208	18	since	since	SCONJ
bracis-19050	208	19	the	the	DET
bracis-19050	208	20	permutation	permutation	NOUN
bracis-19050	208	21	feature	feature	NOUN
bracis-19050	208	22	importance	importance	NOUN
bracis-19050	208	23	is	be	AUX
bracis-19050	208	24	only	only	ADV
bracis-19050	208	25	positive	positive	ADJ
bracis-19050	208	26	,	,	PUNCT
bracis-19050	208	27	captured	capture	VERB
bracis-19050	208	28	very	very	ADV
bracis-19050	208	29	similar	similar	ADJ
bracis-19050	208	30	attribute	attribute	NOUN
bracis-19050	208	31	importance	importance	NOUN
bracis-19050	208	32	.	.	PUNCT
bracis-19050	209	1	nevertheless	nevertheless	ADV
bracis-19050	209	2	,	,	PUNCT
bracis-19050	209	3	the	the	DET
bracis-19050	209	4	comparisons	comparison	NOUN
bracis-19050	209	5	were	be	AUX
bracis-19050	209	6	limited	limit	VERB
bracis-19050	209	7	,	,	PUNCT
bracis-19050	209	8	and	and	CCONJ
bracis-19050	209	9	more	more	ADJ
bracis-19050	209	10	tests	test	NOUN
bracis-19050	209	11	are	be	AUX
bracis-19050	209	12	required	require	VERB
bracis-19050	209	13	to	to	PART
bracis-19050	209	14	evaluate	evaluate	VERB
bracis-19050	209	15	the	the	DET
bracis-19050	209	16	metric	metric	ADJ
bracis-19050	209	17	behavior	behavior	NOUN
bracis-19050	209	18	in	in	ADP
bracis-19050	209	19	other	other	ADJ
bracis-19050	209	20	situations	situation	NOUN
bracis-19050	209	21	.	.	PUNCT
bracis-19050	210	1	for	for	ADP
bracis-19050	210	2	example	example	NOUN
bracis-19050	210	3	,	,	PUNCT
bracis-19050	210	4	the	the	DET
bracis-19050	210	5	lr	lr	PROPN
bracis-19050	210	6	coefficients	coefficient	NOUN
bracis-19050	210	7	are	be	AUX
bracis-19050	210	8	known	know	VERB
bracis-19050	210	9	to	to	PART
bracis-19050	210	10	be	be	AUX
bracis-19050	210	11	sensitive	sensitive	ADJ
bracis-19050	210	12	to	to	ADP
bracis-19050	210	13	unobserved	unobserved	ADJ
bracis-19050	210	14	heterogeneity	heterogeneity	NOUN
bracis-19050	210	15	.	.	PUNCT
bracis-19050	211	1	hence	hence	ADV
bracis-19050	211	2	,	,	PUNCT
bracis-19050	211	3	when	when	SCONJ
bracis-19050	211	4	features	feature	NOUN
bracis-19050	211	5	are	be	AUX
bracis-19050	211	6	added	add	VERB
bracis-19050	211	7	to	to	ADP
bracis-19050	211	8	the	the	DET
bracis-19050	211	9	model	model	NOUN
bracis-19050	211	10	and	and	CCONJ
bracis-19050	211	11	improve	improve	VERB
bracis-19050	211	12	the	the	DET
bracis-19050	211	13	predictions	prediction	NOUN
bracis-19050	211	14	,	,	PUNCT
bracis-19050	211	15	the	the	DET
bracis-19050	211	16	remaining	remain	VERB
bracis-19050	211	17	coefficients	coefficient	NOUN
bracis-19050	211	18	may	may	AUX
bracis-19050	211	19	change	change	VERB
bracis-19050	211	20	,	,	PUNCT
bracis-19050	211	21	even	even	ADV
bracis-19050	211	22	if	if	SCONJ
bracis-19050	211	23	this	this	DET
bracis-19050	211	24	feature	feature	NOUN
bracis-19050	211	25	is	be	AUX
bracis-19050	211	26	not	not	PART
bracis-19050	211	27	correlated	correlate	VERB
bracis-19050	211	28	with	with	ADP
bracis-19050	211	29	others	other	NOUN
bracis-19050	211	30	[	[	X
bracis-19050	211	31	13	13	NUM
bracis-19050	211	32	]	]	PUNCT
bracis-19050	211	33	.	.	PUNCT
bracis-19050	212	1	despite	despite	SCONJ
bracis-19050	212	2	the	the	DET
bracis-19050	212	3	marginal	marginal	ADJ
bracis-19050	212	4	effects	effect	NOUN
bracis-19050	212	5	(	(	PUNCT
bracis-19050	212	6	a	a	DET
bracis-19050	212	7	key	key	NOUN
bracis-19050	212	8	to	to	ADP
bracis-19050	212	9	the	the	DET
bracis-19050	212	10	proposed	propose	VERB
bracis-19050	212	11	metrics	metric	NOUN
bracis-19050	212	12	)	)	PUNCT
bracis-19050	212	13	being	be	AUX
bracis-19050	212	14	more	more	ADV
bracis-19050	212	15	robust	robust	ADJ
bracis-19050	212	16	in	in	ADP
bracis-19050	212	17	this	this	DET
bracis-19050	212	18	situation	situation	NOUN
bracis-19050	212	19	[	[	X
bracis-19050	212	20	26	26	NUM
bracis-19050	212	21	]	]	PUNCT
bracis-19050	212	22	,	,	PUNCT
bracis-19050	212	23	there	there	PRON
bracis-19050	212	24	was	be	VERB
bracis-19050	212	25	no	no	DET
bracis-19050	212	26	empirical	empirical	ADJ
bracis-19050	212	27	evidence	evidence	NOUN
bracis-19050	212	28	of	of	ADP
bracis-19050	212	29	this	this	PRON
bracis-19050	212	30	in	in	ADP
bracis-19050	212	31	our	our	PRON
bracis-19050	212	32	context	context	NOUN
bracis-19050	212	33	.	.	PUNCT
bracis-19050	213	1	additionally	additionally	ADV
bracis-19050	213	2	,	,	PUNCT
bracis-19050	213	3	an	an	DET
bracis-19050	213	4	empirical	empirical	ADJ
bracis-19050	213	5	test	test	NOUN
bracis-19050	213	6	of	of	ADP
bracis-19050	213	7	the	the	DET
bracis-19050	213	8	robustness	robustness	NOUN
bracis-19050	213	9	in	in	ADP
bracis-19050	213	10	a	a	DET
bracis-19050	213	11	scenario	scenario	NOUN
bracis-19050	213	12	of	of	ADP
bracis-19050	213	13	correlated	correlate	VERB
bracis-19050	213	14	data	datum	NOUN
bracis-19050	213	15	compared	compare	VERB
bracis-19050	213	16	to	to	ADP
bracis-19050	213	17	existing	exist	VERB
bracis-19050	213	18	metrics	metric	NOUN
bracis-19050	213	19	is	be	AUX
bracis-19050	213	20	required	require	VERB
bracis-19050	213	21	since	since	SCONJ
bracis-19050	213	22	this	this	DET
bracis-19050	213	23	paper	paper	NOUN
bracis-19050	213	24	only	only	ADV
bracis-19050	213	25	considered	consider	VERB
bracis-19050	213	26	the	the	DET
bracis-19050	213	27	theory	theory	NOUN
bracis-19050	213	28	inherited	inherit	VERB
bracis-19050	213	29	from	from	ADP
bracis-19050	213	30	ale	ale	NOUN
bracis-19050	213	31	plots	plot	NOUN
bracis-19050	213	32	.	.	PUNCT
bracis-19050	214	1	thus	thus	ADV
bracis-19050	214	2	,	,	PUNCT
bracis-19050	214	3	we	we	PRON
bracis-19050	214	4	intend	intend	VERB
bracis-19050	214	5	to	to	PART
bracis-19050	214	6	make	make	VERB
bracis-19050	214	7	more	more	ADJ
bracis-19050	214	8	analyses	analysis	NOUN
bracis-19050	214	9	on	on	ADP
bracis-19050	214	10	a	a	DET
bracis-19050	214	11	large	large	ADJ
bracis-19050	214	12	scale	scale	NOUN
bracis-19050	214	13	in	in	ADP
bracis-19050	214	14	future	future	ADJ
bracis-19050	214	15	work	work	NOUN
bracis-19050	214	16	,	,	PUNCT
bracis-19050	214	17	including	include	VERB
bracis-19050	214	18	other	other	ADJ
bracis-19050	214	19	xai	xai	PROPN
bracis-19050	214	20	approaches	approach	NOUN
bracis-19050	214	21	.	.	PUNCT
bracis-19050	215	1	it	it	PRON
bracis-19050	215	2	should	should	AUX
bracis-19050	215	3	be	be	AUX
bracis-19050	215	4	mentioned	mention	VERB
bracis-19050	215	5	that	that	SCONJ
bracis-19050	215	6	this	this	DET
bracis-19050	215	7	paper	paper	NOUN
bracis-19050	215	8	has	have	AUX
bracis-19050	215	9	not	not	PART
bracis-19050	215	10	yet	yet	ADV
bracis-19050	215	11	compared	compare	VERB
bracis-19050	215	12	the	the	DET
bracis-19050	215	13	proposed	propose	VERB
bracis-19050	215	14	metrics	metric	NOUN
bracis-19050	215	15	across	across	ADP
bracis-19050	215	16	algorithms	algorithm	NOUN
bracis-19050	215	17	,	,	PUNCT
bracis-19050	215	18	since	since	SCONJ
bracis-19050	215	19	the	the	DET
bracis-19050	215	20	algorithms	algorithm	NOUN
bracis-19050	215	21	are	be	AUX
bracis-19050	215	22	able	able	ADJ
bracis-19050	215	23	to	to	PART
bracis-19050	215	24	use	use	VERB
bracis-19050	215	25	the	the	DET
bracis-19050	215	26	input	input	NOUN
bracis-19050	215	27	features	feature	NOUN
bracis-19050	215	28	in	in	ADP
bracis-19050	215	29	a	a	DET
bracis-19050	215	30	totally	totally	ADV
bracis-19050	215	31	different	different	ADJ
bracis-19050	215	32	manner	manner	NOUN
bracis-19050	215	33	to	to	PART
bracis-19050	215	34	achieve	achieve	VERB
bracis-19050	215	35	similar	similar	ADJ
bracis-19050	215	36	results	result	NOUN
bracis-19050	215	37	,	,	PUNCT
bracis-19050	215	38	it	it	PRON
bracis-19050	215	39	was	be	AUX
bracis-19050	215	40	already	already	ADV
bracis-19050	215	41	known	know	VERB
bracis-19050	215	42	as	as	ADP
bracis-19050	215	43	the	the	DET
bracis-19050	215	44	“	"	PUNCT
bracis-19050	215	45	rashomon	rashomon	NOUN
bracis-19050	215	46	”	"	PUNCT
bracis-19050	215	47	effect	effect	NOUN
bracis-19050	215	48	[	[	X
bracis-19050	215	49	27	27	NUM
bracis-19050	215	50	]	]	PUNCT
bracis-19050	215	51	.	.	PUNCT
bracis-19050	216	1	thus	thus	ADV
bracis-19050	216	2	,	,	PUNCT
bracis-19050	216	3	even	even	ADV
bracis-19050	216	4	though	though	SCONJ
bracis-19050	216	5	the	the	DET
bracis-19050	216	6	metrics	metric	NOUN
bracis-19050	216	7	proposed	propose	VERB
bracis-19050	216	8	here	here	ADV
bracis-19050	216	9	are	be	AUX
bracis-19050	216	10	model	model	ADJ
bracis-19050	216	11	-	-	ADJ
bracis-19050	216	12	agnostic	agnostic	ADJ
bracis-19050	216	13	,	,	PUNCT
bracis-19050	216	14	the	the	DET
bracis-19050	216	15	comparisons	comparison	NOUN
bracis-19050	216	16	across	across	ADP
bracis-19050	216	17	different	different	ADJ
bracis-19050	216	18	algorithms	algorithm	NOUN
bracis-19050	216	19	must	must	AUX
bracis-19050	216	20	be	be	AUX
bracis-19050	216	21	interpreted	interpret	VERB
bracis-19050	216	22	with	with	ADP
bracis-19050	216	23	caution	caution	NOUN
bracis-19050	216	24	,	,	PUNCT
bracis-19050	216	25	even	even	ADV
bracis-19050	216	26	on	on	ADP
bracis-19050	216	27	the	the	DET
bracis-19050	216	28	same	same	ADJ
bracis-19050	216	29	data	datum	NOUN
bracis-19050	216	30	.	.	PUNCT
bracis-19050	217	1	in	in	ADP
bracis-19050	217	2	addition	addition	NOUN
bracis-19050	217	3	,	,	PUNCT
bracis-19050	217	4	despite	despite	SCONJ
bracis-19050	217	5	the	the	DET
bracis-19050	217	6	motivation	motivation	NOUN
bracis-19050	217	7	to	to	PART
bracis-19050	217	8	compare	compare	VERB
bracis-19050	217	9	feature	feature	NOUN
bracis-19050	217	10	importance	importance	NOUN
bracis-19050	217	11	across	across	ADP
bracis-19050	217	12	models	model	NOUN
bracis-19050	217	13	,	,	PUNCT
bracis-19050	217	14	the	the	DET
bracis-19050	217	15	results	result	NOUN
bracis-19050	217	16	must	must	AUX
bracis-19050	217	17	be	be	AUX
bracis-19050	217	18	interpreted	interpret	VERB
bracis-19050	217	19	with	with	ADP
bracis-19050	217	20	care	care	NOUN
bracis-19050	217	21	,	,	PUNCT
bracis-19050	217	22	and	and	CCONJ
bracis-19050	217	23	validation	validation	NOUN
bracis-19050	217	24	by	by	ADP
bracis-19050	217	25	domain	domain	NOUN
bracis-19050	217	26	experts	expert	NOUN
bracis-19050	217	27	is	be	AUX
bracis-19050	217	28	required	require	VERB
bracis-19050	217	29	.	.	PUNCT
bracis-19050	218	1	for	for	ADP
bracis-19050	218	2	example	example	NOUN
bracis-19050	218	3	,	,	PUNCT
bracis-19050	218	4	in	in	ADP
bracis-19050	218	5	the	the	DET
bracis-19050	218	6	second	second	ADJ
bracis-19050	218	7	experiment	experiment	NOUN
bracis-19050	218	8	,	,	PUNCT
bracis-19050	218	9	the	the	DET
bracis-19050	218	10	data	datum	NOUN
bracis-19050	218	11	set	set	VERB
bracis-19050	218	12	was	be	AUX
bracis-19050	218	13	scaled	scale	VERB
bracis-19050	218	14	equally	equally	ADV
bracis-19050	218	15	for	for	ADP
bracis-19050	218	16	each	each	DET
bracis-19050	218	17	year	year	NOUN
bracis-19050	218	18	,	,	PUNCT
bracis-19050	218	19	and	and	CCONJ
bracis-19050	218	20	the	the	DET
bracis-19050	218	21	set	set	NOUN
bracis-19050	218	22	of	of	ADP
bracis-19050	218	23	variables	variable	NOUN
bracis-19050	218	24	was	be	AUX
bracis-19050	218	25	the	the	DET
bracis-19050	218	26	same	same	ADJ
bracis-19050	218	27	with	with	ADP
bracis-19050	218	28	the	the	DET
bracis-19050	218	29	same	same	ADJ
bracis-19050	218	30	values	value	NOUN
bracis-19050	218	31	.	.	PUNCT
bracis-19050	219	1	even	even	ADV
bracis-19050	219	2	after	after	ADP
bracis-19050	219	3	these	these	DET
bracis-19050	219	4	careful	careful	ADJ
bracis-19050	219	5	transformations	transformation	NOUN
bracis-19050	219	6	,	,	PUNCT
bracis-19050	219	7	the	the	DET
bracis-19050	219	8	comparison	comparison	NOUN
bracis-19050	219	9	may	may	AUX
bracis-19050	219	10	be	be	AUX
bracis-19050	219	11	inappropriate	inappropriate	ADJ
bracis-19050	219	12	,	,	PUNCT
bracis-19050	219	13	and	and	CCONJ
bracis-19050	219	14	a	a	DET
bracis-19050	219	15	piece	piece	NOUN
bracis-19050	219	16	of	of	ADP
bracis-19050	219	17	domain	domain	NOUN
bracis-19050	219	18	knowledge	knowledge	NOUN
bracis-19050	219	19	may	may	AUX
bracis-19050	219	20	help	help	VERB
bracis-19050	219	21	to	to	PART
bracis-19050	219	22	reduce	reduce	VERB
bracis-19050	219	23	the	the	DET
bracis-19050	219	24	risks	risk	NOUN
bracis-19050	219	25	of	of	ADP
bracis-19050	219	26	misinterpretation	misinterpretation	NOUN
bracis-19050	219	27	.	.	PUNCT
bracis-19050	220	1	the	the	DET
bracis-19050	220	2	main	main	ADJ
bracis-19050	220	3	limitation	limitation	NOUN
bracis-19050	220	4	of	of	ADP
bracis-19050	220	5	the	the	DET
bracis-19050	220	6	proposed	propose	VERB
bracis-19050	220	7	metrics	metric	NOUN
bracis-19050	220	8	would	would	AUX
bracis-19050	220	9	be	be	AUX
bracis-19050	220	10	the	the	DET
bracis-19050	220	11	extrapolation	extrapolation	NOUN
bracis-19050	220	12	of	of	ADP
bracis-19050	220	13	the	the	DET
bracis-19050	220	14	local	local	ADJ
bracis-19050	220	15	effect	effect	NOUN
bracis-19050	220	16	out	out	ADP
bracis-19050	220	17	of	of	ADP
bracis-19050	220	18	the	the	DET
bracis-19050	220	19	interval	interval	NOUN
bracis-19050	220	20	where	where	SCONJ
bracis-19050	220	21	it	it	PRON
bracis-19050	220	22	was	be	AUX
bracis-19050	220	23	computed	compute	VERB
bracis-19050	220	24	.	.	PUNCT
bracis-19050	221	1	the	the	DET
bracis-19050	221	2	local	local	ADJ
bracis-19050	221	3	effect	effect	NOUN
bracis-19050	221	4	is	be	AUX
bracis-19050	221	5	averaged	average	VERB
bracis-19050	221	6	across	across	ADP
bracis-19050	221	7	the	the	DET
bracis-19050	221	8	conditional	conditional	ADJ
bracis-19050	221	9	distribution	distribution	NOUN
bracis-19050	221	10	and	and	CCONJ
bracis-19050	221	11	may	may	AUX
bracis-19050	221	12	only	only	ADV
bracis-19050	221	13	hold	hold	VERB
bracis-19050	221	14	when	when	SCONJ
bracis-19050	221	15	the	the	DET
bracis-19050	221	16	predictors	predictor	NOUN
bracis-19050	221	17	\(x\	\(x\	VERB
bracis-19050	221	18	)	)	PUNCT
bracis-19050	221	19	jointly	jointly	ADV
bracis-19050	221	20	fall	fall	VERB
bracis-19050	221	21	within	within	ADP
bracis-19050	221	22	the	the	DET
bracis-19050	221	23	same	same	ADJ
bracis-19050	221	24	bin	bin	NOUN
bracis-19050	221	25	.	.	PUNCT
bracis-19050	222	1	thus	thus	ADV
bracis-19050	222	2	,	,	PUNCT
bracis-19050	222	3	there	there	PRON
bracis-19050	222	4	may	may	AUX
bracis-19050	222	5	be	be	AUX
bracis-19050	222	6	a	a	DET
bracis-19050	222	7	problem	problem	NOUN
bracis-19050	222	8	if	if	SCONJ
bracis-19050	222	9	bin	bin	NOUN
bracis-19050	222	10	widths	width	NOUN
bracis-19050	222	11	are	be	AUX
bracis-19050	222	12	too	too	ADV
bracis-19050	222	13	small	small	ADJ
bracis-19050	222	14	and	and	CCONJ
bracis-19050	222	15	the	the	DET
bracis-19050	222	16	predictive	predictive	ADJ
bracis-19050	222	17	function	function	NOUN
bracis-19050	222	18	is	be	AUX
bracis-19050	222	19	too	too	ADV
bracis-19050	222	20	noisy	noisy	ADJ
bracis-19050	222	21	.	.	PUNCT
bracis-19050	223	1	furthermore	furthermore	ADV
bracis-19050	223	2	,	,	PUNCT
bracis-19050	223	3	local	local	ADJ
bracis-19050	223	4	effects	effect	NOUN
bracis-19050	223	5	may	may	AUX
bracis-19050	223	6	be	be	AUX
bracis-19050	223	7	unreliable	unreliable	ADJ
bracis-19050	223	8	if	if	SCONJ
bracis-19050	223	9	the	the	DET
bracis-19050	223	10	quantity	quantity	NOUN
bracis-19050	223	11	of	of	ADP
bracis-19050	223	12	data	datum	NOUN
bracis-19050	223	13	points	point	NOUN
bracis-19050	223	14	into	into	ADP
bracis-19050	223	15	the	the	DET
bracis-19050	223	16	underlying	underlie	VERB
bracis-19050	223	17	bin	bin	NOUN
bracis-19050	223	18	is	be	AUX
bracis-19050	223	19	very	very	ADV
bracis-19050	223	20	small	small	ADJ
bracis-19050	223	21	on	on	ADP
bracis-19050	223	22	the	the	DET
bracis-19050	223	23	training	training	NOUN
bracis-19050	223	24	data	datum	NOUN
bracis-19050	223	25	.	.	PUNCT
bracis-19050	224	1	although	although	SCONJ
bracis-19050	224	2	this	this	DET
bracis-19050	224	3	paper	paper	NOUN
bracis-19050	224	4	has	have	AUX
bracis-19050	224	5	used	use	VERB
bracis-19050	224	6	deciles	decile	NOUN
bracis-19050	224	7	to	to	PART
bracis-19050	224	8	equally	equally	ADV
bracis-19050	224	9	subdivide	subdivide	VERB
bracis-19050	224	10	the	the	DET
bracis-19050	224	11	feature	feature	NOUN
bracis-19050	224	12	distribution	distribution	NOUN
bracis-19050	224	13	in	in	ADP
bracis-19050	224	14	order	order	NOUN
bracis-19050	224	15	to	to	PART
bracis-19050	224	16	minimize	minimize	VERB
bracis-19050	224	17	this	this	DET
bracis-19050	224	18	risk	risk	NOUN
bracis-19050	224	19	,	,	PUNCT
bracis-19050	224	20	together	together	ADV
bracis-19050	224	21	with	with	ADP
bracis-19050	224	22	cross	cross	NOUN
bracis-19050	224	23	-	-	NOUN
bracis-19050	224	24	validation	validation	NOUN
bracis-19050	224	25	for	for	ADP
bracis-19050	224	26	more	more	ADV
bracis-19050	224	27	reliable	reliable	ADJ
bracis-19050	224	28	results	result	NOUN
bracis-19050	224	29	,	,	PUNCT
bracis-19050	224	30	caution	caution	NOUN
bracis-19050	224	31	must	must	AUX
bracis-19050	224	32	be	be	AUX
bracis-19050	224	33	always	always	ADV
bracis-19050	224	34	taken	take	VERB
bracis-19050	224	35	in	in	ADP
bracis-19050	224	36	the	the	DET
bracis-19050	224	37	interpretation	interpretation	NOUN
bracis-19050	224	38	with	with	ADP
bracis-19050	224	39	the	the	DET
bracis-19050	224	40	validation	validation	NOUN
bracis-19050	224	41	of	of	ADP
bracis-19050	224	42	the	the	DET
bracis-19050	224	43	domain	domain	NOUN
bracis-19050	224	44	expert	expert	NOUN
bracis-19050	224	45	.	.	PUNCT
bracis-19050	225	1	notes	note	VERB
bracis-19050	225	2	1.the	1.the	DET
bracis-19050	225	3	implementation	implementation	NOUN
bracis-19050	225	4	code	code	NOUN
bracis-19050	225	5	can	can	AUX
bracis-19050	225	6	be	be	AUX
bracis-19050	225	7	found	find	VERB
bracis-19050	225	8	in	in	ADP
bracis-19050	225	9	this	this	DET
bracis-19050	225	10	repository	repository	NOUN
bracis-19050	225	11	:	:	PUNCT
bracis-19050	225	12	https://github.com/rogerioluizsi/summary_ale.git	https://github.com/rogerioluizsi/summary_ale.git	PROPN
bracis-19050	225	13	.	.	PROPN
bracis-19050	226	1	references	references	PROPN
bracis-19050	226	2	bhatt	bhatt	PROPN
bracis-19050	226	3	,	,	PUNCT
bracis-19050	226	4	u.	u.	PROPN
bracis-19050	226	5	,	,	PUNCT
bracis-19050	226	6	xiang	xiang	PROPN
bracis-19050	226	7	,	,	PUNCT
bracis-19050	226	8	a.	a.	PROPN
bracis-19050	226	9	,	,	PUNCT
bracis-19050	226	10	sharma	sharma	PROPN
bracis-19050	226	11	,	,	PUNCT
bracis-19050	226	12	s.	s.	PROPN
bracis-19050	226	13	,	,	PUNCT
bracis-19050	226	14	et	et	PROPN
bracis-19050	226	15	al	al	PROPN
bracis-19050	226	16	.	.	PROPN
bracis-19050	226	17	:	:	PUNCT
bracis-19050	227	1	explainable	explainable	ADJ
bracis-19050	227	2	machine	machine	NOUN
bracis-19050	227	3	learning	learn	VERB
bracis-19050	227	4	in	in	ADP
bracis-19050	227	5	deployment	deployment	NOUN
bracis-19050	227	6	.	.	PUNCT
bracis-19050	228	1	in	in	ADP
bracis-19050	228	2	:	:	PUNCT
bracis-19050	228	3	proceedings	proceeding	NOUN
bracis-19050	228	4	of	of	ADP
bracis-19050	228	5	the	the	DET
bracis-19050	228	6	2020	2020	NUM
bracis-19050	228	7	conference	conference	NOUN
bracis-19050	228	8	on	on	ADP
bracis-19050	228	9	fairness	fairness	NOUN
bracis-19050	228	10	,	,	PUNCT
bracis-19050	228	11	accountability	accountability	NOUN
bracis-19050	228	12	,	,	PUNCT
bracis-19050	228	13	and	and	CCONJ
bracis-19050	228	14	transparency	transparency	NOUN
bracis-19050	228	15	,	,	PUNCT
bracis-19050	228	16	pp	pp	ADV
bracis-19050	228	17	.	.	PUNCT
bracis-19050	229	1	648–657	648–657	NUM
bracis-19050	229	2	.	.	PUNCT
bracis-19050	230	1	acm	acm	PROPN
bracis-19050	230	2	,	,	PUNCT
bracis-19050	230	3	new	new	PROPN
bracis-19050	230	4	york	york	PROPN
bracis-19050	230	5	(	(	PUNCT
bracis-19050	230	6	2020	2020	NUM
bracis-19050	230	7	)	)	PUNCT
bracis-19050	230	8	google	google	PROPN
bracis-19050	230	9	scholar	scholar	NOUN
bracis-19050	230	10	  	  	SPACE
bracis-19050	230	11	razavian	razavian	NOUN
bracis-19050	230	12	,	,	PUNCT
bracis-19050	230	13	n.	n.	NOUN
bracis-19050	230	14	,	,	PUNCT
bracis-19050	230	15	blecker	blecker	NOUN
bracis-19050	230	16	,	,	PUNCT
bracis-19050	230	17	s.	s.	PROPN
bracis-19050	230	18	,	,	PUNCT
bracis-19050	230	19	schmidt	schmidt	PROPN
bracis-19050	230	20	,	,	PUNCT
bracis-19050	230	21	a.m.	a.m.	ADV
bracis-19050	230	22	,	,	PUNCT
bracis-19050	230	23	et	et	PROPN
bracis-19050	230	24	al	al	PROPN
bracis-19050	230	25	.	.	PUNCT
bracis-19050	230	26	:	:	PUNCT
bracis-19050	231	1	population	population	NOUN
bracis-19050	231	2	-	-	PUNCT
bracis-19050	231	3	level	level	NOUN
bracis-19050	231	4	prediction	prediction	NOUN
bracis-19050	231	5	of	of	ADP
bracis-19050	231	6	type	type	NOUN
bracis-19050	231	7	2	2	NUM
bracis-19050	231	8	diabetes	diabetes	NOUN
bracis-19050	231	9	from	from	ADP
bracis-19050	231	10	claims	claim	NOUN
bracis-19050	231	11	data	datum	NOUN
bracis-19050	231	12	and	and	CCONJ
bracis-19050	231	13	analysis	analysis	NOUN
bracis-19050	231	14	of	of	ADP
bracis-19050	231	15	risk	risk	NOUN
bracis-19050	231	16	factors	factor	NOUN
bracis-19050	231	17	.	.	PUNCT
bracis-19050	232	1	big	big	ADJ
bracis-19050	232	2	data	datum	NOUN
bracis-19050	232	3	3	3	NUM
bracis-19050	232	4	,	,	PUNCT
bracis-19050	232	5	277–287	277–287	NUM
bracis-19050	232	6	(	(	PUNCT
bracis-19050	232	7	2015	2015	NUM
bracis-19050	232	8	)	)	PUNCT
bracis-19050	232	9	.	.	PUNCT
bracis-19050	233	1	https://doi.org/10.1089/big.2015.0020	https://doi.org/10.1089/big.2015.0020	NOUN
bracis-19050	233	2	article	article	PROPN
bracis-19050	233	3	  	  	SPACE
bracis-19050	233	4	google	google	PROPN
bracis-19050	233	5	scholar	scholar	NOUN
bracis-19050	233	6	  	  	SPACE
bracis-19050	233	7	pellagatti	pellagatti	PROPN
bracis-19050	233	8	,	,	PUNCT
bracis-19050	233	9	m.	m.	NOUN
bracis-19050	233	10	,	,	PUNCT
bracis-19050	233	11	masci	masci	PROPN
bracis-19050	233	12	,	,	PUNCT
bracis-19050	233	13	c.	c.	PROPN
bracis-19050	233	14	,	,	PUNCT
bracis-19050	233	15	ieva	ieva	PROPN
bracis-19050	233	16	,	,	PUNCT
bracis-19050	233	17	f.	f.	PROPN
bracis-19050	233	18	,	,	PUNCT
bracis-19050	233	19	paganoni	paganoni	ADJ
bracis-19050	233	20	,	,	PUNCT
bracis-19050	233	21	a.m.	a.m.	ADV
bracis-19050	233	22	:	:	PUNCT
bracis-19050	233	23	generalized	generalize	VERB
bracis-19050	233	24	mixed	mixed	ADJ
bracis-19050	233	25	-	-	PUNCT
bracis-19050	233	26	effects	effect	NOUN
bracis-19050	233	27	random	random	ADJ
bracis-19050	233	28	forest	forest	NOUN
bracis-19050	233	29	:	:	PUNCT
bracis-19050	233	30	a	a	DET
bracis-19050	233	31	flexible	flexible	ADJ
bracis-19050	233	32	approach	approach	NOUN
bracis-19050	233	33	to	to	PART
bracis-19050	233	34	predict	predict	VERB
bracis-19050	233	35	university	university	NOUN
bracis-19050	233	36	student	student	NOUN
bracis-19050	233	37	dropout	dropout	NOUN
bracis-19050	233	38	.	.	PUNCT
bracis-19050	234	1	stat	stat	PROPN
bracis-19050	234	2	.	.	PUNCT
bracis-19050	235	1	anal	anal	PROPN
bracis-19050	235	2	.	.	PUNCT
bracis-19050	236	1	data	data	PROPN
bracis-19050	236	2	min	min	PROPN
bracis-19050	236	3	.	.	PROPN
bracis-19050	236	4	,	,	PUNCT
bracis-19050	236	5	1–17	1–17	PROPN
bracis-19050	236	6	(	(	PUNCT
bracis-19050	236	7	2021	2021	NUM
bracis-19050	236	8	)	)	PUNCT
bracis-19050	236	9	.	.	PUNCT
bracis-19050	237	1	https://doi.org/10.1002/sam.11505	https://doi.org/10.1002/sam.11505	PROPN
bracis-19050	237	2	berens	beren	NOUN
bracis-19050	237	3	,	,	PUNCT
bracis-19050	237	4	j.	j.	PROPN
bracis-19050	237	5	,	,	PUNCT
bracis-19050	237	6	schneider	schneider	PROPN
bracis-19050	237	7	,	,	PUNCT
bracis-19050	237	8	k.	k.	PROPN
bracis-19050	237	9	,	,	PUNCT
bracis-19050	237	10	görtz	görtz	PROPN
bracis-19050	237	11	,	,	PUNCT
bracis-19050	237	12	s.	s.	PROPN
bracis-19050	237	13	,	,	PUNCT
bracis-19050	237	14	et	et	PROPN
bracis-19050	237	15	al	al	PROPN
bracis-19050	237	16	.	.	PUNCT
bracis-19050	237	17	:	:	PUNCT
bracis-19050	238	1	early	early	ADJ
bracis-19050	238	2	detection	detection	NOUN
bracis-19050	238	3	of	of	ADP
bracis-19050	238	4	students	student	NOUN
bracis-19050	238	5	at	at	ADP
bracis-19050	238	6	risk	risk	NOUN
bracis-19050	238	7	-	-	PUNCT
bracis-19050	238	8	predicting	predict	VERB
bracis-19050	238	9	student	student	NOUN
bracis-19050	238	10	dropouts	dropout	NOUN
bracis-19050	238	11	using	use	VERB
bracis-19050	238	12	administrative	administrative	ADJ
bracis-19050	238	13	student	student	NOUN
bracis-19050	238	14	data	datum	NOUN
bracis-19050	238	15	from	from	ADP
bracis-19050	238	16	german	german	ADJ
bracis-19050	238	17	universities	university	NOUN
bracis-19050	238	18	and	and	CCONJ
bracis-19050	238	19	machine	machine	NOUN
bracis-19050	238	20	learning	learning	NOUN
bracis-19050	238	21	methods	method	NOUN
bracis-19050	238	22	(	(	PUNCT
bracis-19050	238	23	2019	2019	NUM
bracis-19050	238	24	)	)	PUNCT
bracis-19050	238	25	google	google	PROPN
bracis-19050	238	26	scholar	scholar	NOUN
bracis-19050	238	27	  	  	SPACE
bracis-19050	238	28	yang	yang	PROPN
bracis-19050	238	29	,	,	PUNCT
bracis-19050	238	30	k.c	k.c	PROPN
bracis-19050	238	31	.	.	PROPN
bracis-19050	238	32	,	,	PUNCT
bracis-19050	238	33	varol	varol	PROPN
bracis-19050	238	34	,	,	PUNCT
bracis-19050	238	35	o.	o.	PROPN
bracis-19050	238	36	,	,	PUNCT
bracis-19050	238	37	davis	davis	PROPN
bracis-19050	238	38	,	,	PUNCT
bracis-19050	238	39	c.a	c.a	PROPN
bracis-19050	238	40	.	.	PROPN
bracis-19050	238	41	,	,	PUNCT
bracis-19050	238	42	et	et	PROPN
bracis-19050	238	43	al	al	PROPN
bracis-19050	238	44	.	.	PROPN
bracis-19050	238	45	:	:	PUNCT
bracis-19050	238	46	arming	arm	VERB
bracis-19050	238	47	the	the	DET
bracis-19050	238	48	public	public	NOUN
bracis-19050	238	49	with	with	ADP
bracis-19050	238	50	artificial	artificial	ADJ
bracis-19050	238	51	intelligence	intelligence	NOUN
bracis-19050	238	52	to	to	PART
bracis-19050	238	53	counter	counter	VERB
bracis-19050	238	54	social	social	ADJ
bracis-19050	238	55	bots	bot	NOUN
bracis-19050	238	56	.	.	PUNCT
bracis-19050	239	1	hum	hum	ADJ
bracis-19050	239	2	.	.	PUNCT
bracis-19050	239	3	behav	behav	PROPN
bracis-19050	239	4	.	.	PUNCT
bracis-19050	240	1	emerg	emerg	PROPN
bracis-19050	240	2	.	.	PUNCT
bracis-19050	241	1	technol	technol	PROPN
bracis-19050	241	2	.	.	PROPN
bracis-19050	241	3	1	1	NUM
bracis-19050	241	4	,	,	PUNCT
bracis-19050	241	5	48–61	48–61	NUM
bracis-19050	241	6	(	(	PUNCT
bracis-19050	241	7	2019	2019	NUM
bracis-19050	241	8	)	)	PUNCT
bracis-19050	241	9	.	.	PUNCT
bracis-19050	242	1	https://doi.org/10.1002/hbe2.115	https://doi.org/10.1002/hbe2.115	PROPN
bracis-19050	242	2	article	article	PROPN
bracis-19050	242	3	  	  	SPACE
bracis-19050	242	4	google	google	PROPN
bracis-19050	242	5	scholar	scholar	NOUN
bracis-19050	242	6	  	  	SPACE
bracis-19050	242	7	leite	leite	PROPN
bracis-19050	242	8	,	,	PUNCT
bracis-19050	242	9	m.a.g.l	m.a.g.l	PROPN
bracis-19050	242	10	.	.	PROPN
bracis-19050	242	11	,	,	PUNCT
bracis-19050	242	12	guelpeli	guelpeli	PROPN
bracis-19050	242	13	,	,	PUNCT
bracis-19050	242	14	m.v.c	m.v.c	PROPN
bracis-19050	242	15	.	.	PROPN
bracis-19050	242	16	,	,	PUNCT
bracis-19050	242	17	santos	santos	PROPN
bracis-19050	242	18	,	,	PUNCT
bracis-19050	242	19	c.q	c.q	PROPN
bracis-19050	242	20	.	.	PROPN
bracis-19050	242	21	:	:	PUNCT
bracis-19050	242	22	um	um	INTJ
bracis-19050	242	23	modelo	modelo	PROPN
bracis-19050	242	24	baseado	baseado	PROPN
bracis-19050	242	25	em	em	PROPN
bracis-19050	242	26	regras	regras	PROPN
bracis-19050	242	27	para	para	VERB
bracis-19050	242	28	a	a	DET
bracis-19050	242	29	detecção	detecção	NOUN
bracis-19050	242	30	de	de	X
bracis-19050	242	31	bots	bot	NOUN
bracis-19050	242	32	no	no	DET
bracis-19050	242	33	twitter	twitter	NOUN
bracis-19050	242	34	,	,	PUNCT
bracis-19050	242	35	pp	pp	ADJ
bracis-19050	242	36	.	.	PUNCT
bracis-19050	243	1	37–48	37–48	NUM
bracis-19050	243	2	(	(	PUNCT
bracis-19050	243	3	2020	2020	NUM
bracis-19050	243	4	)	)	PUNCT
bracis-19050	243	5	.	.	PUNCT
bracis-19050	244	1	https://doi.org/10.5753/brasnam.2020.11161	https://doi.org/10.5753/brasnam.2020.11161	VERB
bracis-19050	244	2	barredo	barredo	NOUN
bracis-19050	244	3	arrieta	arrieta	PROPN
bracis-19050	244	4	,	,	PUNCT
bracis-19050	244	5	a.	a.	NOUN
bracis-19050	244	6	,	,	PUNCT
bracis-19050	244	7	díaz	díaz	NOUN
bracis-19050	244	8	-	-	PUNCT
bracis-19050	244	9	rodríguez	rodríguez	NOUN
bracis-19050	244	10	,	,	PUNCT
bracis-19050	244	11	n.	n.	NOUN
bracis-19050	244	12	,	,	PUNCT
bracis-19050	244	13	del	del	PROPN
bracis-19050	244	14	ser	ser	PROPN
bracis-19050	244	15	,	,	PUNCT
bracis-19050	244	16	j.	j.	PROPN
bracis-19050	244	17	,	,	PUNCT
bracis-19050	244	18	et	et	PROPN
bracis-19050	244	19	al	al	PROPN
bracis-19050	244	20	.	.	PROPN
bracis-19050	244	21	:	:	PUNCT
bracis-19050	245	1	explainable	explainable	ADJ
bracis-19050	245	2	artificial	artificial	ADJ
bracis-19050	245	3	intelligence	intelligence	NOUN
bracis-19050	245	4	(	(	PUNCT
bracis-19050	245	5	xai	xai	PROPN
bracis-19050	245	6	):	):	PUNCT
bracis-19050	245	7	concepts	concept	NOUN
bracis-19050	245	8	,	,	PUNCT
bracis-19050	245	9	taxonomies	taxonomy	NOUN
bracis-19050	245	10	,	,	PUNCT
bracis-19050	245	11	opportunities	opportunity	NOUN
bracis-19050	245	12	and	and	CCONJ
bracis-19050	245	13	challenges	challenge	NOUN
bracis-19050	245	14	toward	toward	ADP
bracis-19050	245	15	responsible	responsible	ADJ
bracis-19050	245	16	ai	ai	PROPN
bracis-19050	245	17	.	.	PROPN
bracis-19050	245	18	inf	inf	PROPN
bracis-19050	245	19	.	.	PUNCT
bracis-19050	245	20	fusion	fusion	PROPN
bracis-19050	245	21	58	58	NUM
bracis-19050	245	22	,	,	PUNCT
bracis-19050	245	23	82–115	82–115	PROPN
bracis-19050	245	24	(	(	PUNCT
bracis-19050	245	25	2020	2020	NUM
bracis-19050	245	26	)	)	PUNCT
bracis-19050	245	27	.	.	PUNCT
bracis-19050	246	1	https://doi.org/10.1016/j.inffus.2019.12.012	https://doi.org/10.1016/j.inffus.2019.12.012	PROPN
bracis-19050	246	2	article	article	NOUN
bracis-19050	246	3	  	  	SPACE
bracis-19050	246	4	google	google	PROPN
bracis-19050	246	5	scholar	scholar	NOUN
bracis-19050	246	6	  	  	SPACE
bracis-19050	246	7	saarela	saarela	PROPN
bracis-19050	246	8	,	,	PUNCT
bracis-19050	246	9	m.	m.	NOUN
bracis-19050	246	10	,	,	PUNCT
bracis-19050	246	11	jauhiainen	jauhiainen	PROPN
bracis-19050	246	12	,	,	PUNCT
bracis-19050	246	13	s.	s.	PROPN
bracis-19050	246	14	:	:	PUNCT
bracis-19050	246	15	comparison	comparison	NOUN
bracis-19050	246	16	of	of	ADP
bracis-19050	246	17	feature	feature	NOUN
bracis-19050	246	18	importance	importance	NOUN
bracis-19050	246	19	measures	measure	NOUN
bracis-19050	246	20	as	as	ADP
bracis-19050	246	21	explanations	explanation	NOUN
bracis-19050	246	22	for	for	ADP
bracis-19050	246	23	classification	classification	NOUN
bracis-19050	246	24	models	model	NOUN
bracis-19050	246	25	.	.	PUNCT
bracis-19050	247	1	sn	sn	PROPN
bracis-19050	247	2	appl	appl	PROPN
bracis-19050	247	3	.	.	PUNCT
bracis-19050	248	1	sci	sci	PROPN
bracis-19050	248	2	.	.	PUNCT
bracis-19050	248	3	3(2	3(2	NUM
bracis-19050	248	4	)	)	PUNCT
bracis-19050	248	5	,	,	PUNCT
bracis-19050	248	6	1–12	1–12	PROPN
bracis-19050	248	7	(	(	PUNCT
bracis-19050	248	8	2021	2021	NUM
bracis-19050	248	9	)	)	PUNCT
bracis-19050	248	10	.	.	PUNCT
bracis-19050	249	1	https://doi.org/10.1007/s42452-021-04148-9	https://doi.org/10.1007/s42452-021-04148-9	PROPN
bracis-19050	249	2	article	article	NOUN
bracis-19050	249	3	  	  	SPACE
bracis-19050	249	4	google	google	PROPN
bracis-19050	249	5	scholar	scholar	NOUN
bracis-19050	249	6	  	  	SPACE
bracis-19050	249	7	shrikumar	shrikumar	PROPN
bracis-19050	249	8	,	,	PUNCT
bracis-19050	249	9	a.	a.	NOUN
bracis-19050	249	10	,	,	PUNCT
bracis-19050	249	11	greenside	greenside	NOUN
bracis-19050	249	12	,	,	PUNCT
bracis-19050	249	13	p.	p.	PROPN
bracis-19050	249	14	,	,	PUNCT
bracis-19050	249	15	kundaje	kundaje	NOUN
bracis-19050	249	16	,	,	PUNCT
bracis-19050	249	17	a.	a.	NOUN
bracis-19050	249	18	:	:	PUNCT
bracis-19050	249	19	learning	learn	VERB
bracis-19050	249	20	important	important	ADJ
bracis-19050	249	21	features	feature	NOUN
bracis-19050	249	22	through	through	ADP
bracis-19050	249	23	propagating	propagate	VERB
bracis-19050	249	24	activation	activation	NOUN
bracis-19050	249	25	differences	difference	NOUN
bracis-19050	249	26	.	.	PUNCT
bracis-19050	250	1	in	in	ADP
bracis-19050	250	2	:	:	PUNCT
bracis-19050	250	3	34th	34th	ADJ
bracis-19050	250	4	international	international	ADJ
bracis-19050	250	5	conference	conference	NOUN
bracis-19050	250	6	on	on	ADP
bracis-19050	250	7	machine	machine	NOUN
bracis-19050	250	8	learning	learning	NOUN
bracis-19050	250	9	,	,	PUNCT
bracis-19050	250	10	icml	icml	VERB
bracis-19050	250	11	2017	2017	NUM
bracis-19050	250	12	,	,	PUNCT
bracis-19050	250	13	vol	vol	NOUN
bracis-19050	250	14	.	.	PROPN
bracis-19050	250	15	7	7	NUM
bracis-19050	250	16	,	,	PUNCT
bracis-19050	250	17	pp	pp	ADJ
bracis-19050	250	18	.	.	PUNCT
bracis-19050	251	1	4844–4866	4844–4866	NUM
bracis-19050	251	2	(	(	PUNCT
bracis-19050	251	3	2017	2017	NUM
bracis-19050	251	4	)	)	PUNCT
bracis-19050	251	5	google	google	NOUN
bracis-19050	251	6	scholar	scholar	NOUN
bracis-19050	251	7	  	  	SPACE
bracis-19050	251	8	štrumbelj	štrumbelj	NOUN
bracis-19050	251	9	,	,	PUNCT
bracis-19050	251	10	e.	e.	PROPN
bracis-19050	251	11	,	,	PUNCT
bracis-19050	251	12	kononenko	kononenko	PROPN
bracis-19050	251	13	,	,	PUNCT
bracis-19050	251	14	i.	i.	PROPN
bracis-19050	251	15	:	:	PUNCT
bracis-19050	251	16	explaining	explain	VERB
bracis-19050	251	17	prediction	prediction	NOUN
bracis-19050	251	18	models	model	NOUN
bracis-19050	251	19	and	and	CCONJ
bracis-19050	251	20	individual	individual	ADJ
bracis-19050	251	21	predictions	prediction	NOUN
bracis-19050	251	22	with	with	ADP
bracis-19050	251	23	feature	feature	NOUN
bracis-19050	251	24	contributions	contribution	NOUN
bracis-19050	251	25	.	.	PUNCT
bracis-19050	252	1	knowl	knowl	PROPN
bracis-19050	252	2	.	.	PUNCT
bracis-19050	253	1	inf	inf	PROPN
bracis-19050	253	2	.	.	PUNCT
bracis-19050	253	3	syst	syst	PROPN
bracis-19050	253	4	.	.	PUNCT
bracis-19050	254	1	41(3	41(3	NUM
bracis-19050	254	2	)	)	PUNCT
bracis-19050	254	3	,	,	PUNCT
bracis-19050	254	4	647–665	647–665	NUM
bracis-19050	254	5	(	(	PUNCT
bracis-19050	254	6	2013	2013	NUM
bracis-19050	254	7	)	)	PUNCT
bracis-19050	254	8	.	.	PUNCT
bracis-19050	255	1	https://doi.org/10.1007/s10115-013-0679-x	https://doi.org/10.1007/s10115-013-0679-x	NOUN
bracis-19050	255	2	article	article	NOUN
bracis-19050	255	3	  	  	SPACE
bracis-19050	255	4	google	google	PROPN
bracis-19050	255	5	scholar	scholar	NOUN
bracis-19050	255	6	  	  	SPACE
bracis-19050	255	7	ribeiro	ribeiro	PROPN
bracis-19050	255	8	,	,	PUNCT
bracis-19050	255	9	m.t	m.t	PROPN
bracis-19050	255	10	.	.	PROPN
bracis-19050	255	11	,	,	PUNCT
bracis-19050	255	12	singh	singh	PROPN
bracis-19050	255	13	,	,	PUNCT
bracis-19050	255	14	s.	s.	PROPN
bracis-19050	255	15	,	,	PUNCT
bracis-19050	255	16	guestrin	guestrin	NOUN
bracis-19050	255	17	,	,	PUNCT
bracis-19050	255	18	c.	c.	PROPN
bracis-19050	255	19	:	:	PUNCT
bracis-19050	255	20	why	why	SCONJ
bracis-19050	255	21	should	should	AUX
bracis-19050	255	22	i	i	PRON
bracis-19050	255	23	trust	trust	VERB
bracis-19050	255	24	you	you	PRON
bracis-19050	255	25	?	?	PUNCT
bracis-19050	255	26	”	"	PUNCT
bracis-19050	255	27	explaining	explain	VERB
bracis-19050	255	28	the	the	DET
bracis-19050	255	29	predictions	prediction	NOUN
bracis-19050	255	30	of	of	ADP
bracis-19050	255	31	any	any	DET
bracis-19050	255	32	classifier	classifier	NOUN
bracis-19050	255	33	.	.	PUNCT
bracis-19050	256	1	in	in	ADP
bracis-19050	256	2	:	:	PUNCT
bracis-19050	256	3	proceedings	proceeding	NOUN
bracis-19050	256	4	of	of	ADP
bracis-19050	256	5	the	the	DET
bracis-19050	256	6	acm	acm	PROPN
bracis-19050	256	7	sigkdd	sigkdd	PROPN
bracis-19050	256	8	international	international	ADJ
bracis-19050	256	9	conference	conference	NOUN
bracis-19050	256	10	on	on	ADP
bracis-19050	256	11	knowledge	knowledge	NOUN
bracis-19050	256	12	discovery	discovery	PROPN
bracis-19050	256	13	and	and	CCONJ
bracis-19050	256	14	data	datum	NOUN
bracis-19050	256	15	mining	mine	VERB
bracis-19050	256	16	13	13	NUM
bracis-19050	256	17	-	-	SYM
bracis-19050	256	18	17	17	NUM
bracis-19050	256	19	-	-	PUNCT
bracis-19050	256	20	august	august	NOUN
bracis-19050	256	21	,	,	PUNCT
bracis-19050	256	22	pp	pp	PROPN
bracis-19050	256	23	.	.	PUNCT
bracis-19050	257	1	1135–1144	1135–1144	NUM
bracis-19050	257	2	(	(	PUNCT
bracis-19050	257	3	2016	2016	NUM
bracis-19050	257	4	)	)	PUNCT
bracis-19050	257	5	.	.	PUNCT
bracis-19050	258	1	https://doi.org/10.1145/2939672.2939778	https://doi.org/10.1145/2939672.2939778	PROPN
bracis-19050	258	2	lundberg	lundberg	PROPN
bracis-19050	258	3	,	,	PUNCT
bracis-19050	258	4	s.m	s.m	PROPN
bracis-19050	258	5	.	.	PROPN
bracis-19050	258	6	,	,	PUNCT
bracis-19050	258	7	lee	lee	PROPN
bracis-19050	258	8	,	,	PUNCT
bracis-19050	258	9	s.-i	s.-i	PROPN
bracis-19050	258	10	.	.	PUNCT
bracis-19050	258	11	:	:	PUNCT
bracis-19050	259	1	a	a	DET
bracis-19050	259	2	unified	unified	ADJ
bracis-19050	259	3	approach	approach	NOUN
bracis-19050	259	4	to	to	ADP
bracis-19050	259	5	interpreting	interpret	VERB
bracis-19050	259	6	model	model	NOUN
bracis-19050	259	7	predictions	prediction	NOUN
bracis-19050	259	8	.	.	PUNCT
bracis-19050	260	1	in	in	ADP
bracis-19050	260	2	:	:	PUNCT
bracis-19050	260	3	proceedings	proceeding	NOUN
bracis-19050	260	4	of	of	ADP
bracis-19050	260	5	the	the	DET
bracis-19050	260	6	31st	31st	ADJ
bracis-19050	260	7	international	international	ADJ
bracis-19050	260	8	conference	conference	NOUN
bracis-19050	260	9	on	on	ADP
bracis-19050	260	10	neural	neural	ADJ
bracis-19050	260	11	information	information	NOUN
bracis-19050	260	12	processing	processing	NOUN
bracis-19050	260	13	systems	system	NOUN
bracis-19050	260	14	,	,	PUNCT
bracis-19050	260	15	pp	pp	ADJ
bracis-19050	260	16	.	.	PUNCT
bracis-19050	260	17	4768–4777	4768–4777	NUM
bracis-19050	260	18	.	.	PUNCT
bracis-19050	261	1	curran	curran	PROPN
bracis-19050	261	2	associates	associates	PROPN
bracis-19050	261	3	inc	inc	PROPN
bracis-19050	261	4	.	.	PROPN
bracis-19050	261	5	,	,	PUNCT
bracis-19050	261	6	red	red	ADJ
bracis-19050	261	7	hook	hook	NOUN
bracis-19050	261	8	(	(	PUNCT
bracis-19050	261	9	2017	2017	NUM
bracis-19050	261	10	)	)	PUNCT
bracis-19050	261	11	google	google	NOUN
bracis-19050	261	12	scholar	scholar	NOUN
bracis-19050	261	13	  	  	SPACE
bracis-19050	261	14	mood	mood	NOUN
bracis-19050	261	15	,	,	PUNCT
bracis-19050	261	16	c.	c.	NOUN
bracis-19050	261	17	:	:	PUNCT
bracis-19050	261	18	logistic	logistic	ADJ
bracis-19050	261	19	regression	regression	NOUN
bracis-19050	261	20	:	:	PUNCT
bracis-19050	261	21	uncovering	uncover	VERB
bracis-19050	261	22	unobserved	unobserved	ADJ
bracis-19050	261	23	heterogeneity	heterogeneity	NOUN
bracis-19050	261	24	,	,	PUNCT
bracis-19050	261	25	pp	pp	ADV
bracis-19050	261	26	.	.	PUNCT
bracis-19050	262	1	1–25	1–25	INTJ
bracis-19050	262	2	(	(	PUNCT
bracis-19050	262	3	2017	2017	NUM
bracis-19050	262	4	)	)	PUNCT
bracis-19050	262	5	google	google	PROPN
bracis-19050	262	6	scholar	scholar	NOUN
bracis-19050	262	7	  	  	SPACE
bracis-19050	262	8	long	long	ADV
bracis-19050	262	9	,	,	PUNCT
bracis-19050	262	10	j.s	j.s	PROPN
bracis-19050	262	11	.	.	PROPN
bracis-19050	262	12	,	,	PUNCT
bracis-19050	262	13	long	long	ADV
bracis-19050	262	14	,	,	PUNCT
bracis-19050	262	15	j.s	j.s	PROPN
bracis-19050	262	16	.	.	PUNCT
bracis-19050	262	17	:	:	PUNCT
bracis-19050	263	1	regression	regression	NOUN
bracis-19050	263	2	models	model	NOUN
bracis-19050	263	3	for	for	ADP
bracis-19050	263	4	categorical	categorical	ADJ
bracis-19050	263	5	and	and	CCONJ
bracis-19050	263	6	limited	limited	ADJ
bracis-19050	263	7	dependent	dependent	ADJ
bracis-19050	263	8	variables	variable	NOUN
bracis-19050	263	9	.	.	PUNCT
bracis-19050	264	1	sage	sage	NOUN
bracis-19050	264	2	,	,	PUNCT
bracis-19050	264	3	new	new	PROPN
bracis-19050	264	4	york	york	PROPN
bracis-19050	264	5	(	(	PUNCT
bracis-19050	264	6	1997	1997	NUM
bracis-19050	264	7	)	)	PUNCT
bracis-19050	264	8	google	google	PROPN
bracis-19050	264	9	scholar	scholar	NOUN
bracis-19050	264	10	  	  	SPACE
bracis-19050	264	11	molnar	molnar	PROPN
bracis-19050	264	12	,	,	PUNCT
bracis-19050	264	13	c.	c.	PROPN
bracis-19050	264	14	:	:	PUNCT
bracis-19050	264	15	interpretable	interpretable	ADJ
bracis-19050	264	16	machine	machine	NOUN
bracis-19050	264	17	learning	learning	NOUN
bracis-19050	264	18	(	(	PUNCT
bracis-19050	264	19	2019	2019	NUM
bracis-19050	264	20	)	)	PUNCT
bracis-19050	264	21	google	google	PROPN
bracis-19050	264	22	scholar	scholar	NOUN
bracis-19050	264	23	  	  	SPACE
bracis-19050	264	24	bhatt	bhatt	PROPN
bracis-19050	264	25	,	,	PUNCT
bracis-19050	264	26	u.	u.	PROPN
bracis-19050	264	27	,	,	PUNCT
bracis-19050	264	28	ravikumar	ravikumar	VERB
bracis-19050	264	29	,	,	PUNCT
bracis-19050	264	30	p.	p.	NOUN
bracis-19050	264	31	,	,	PUNCT
bracis-19050	264	32	moura	moura	NOUN
bracis-19050	264	33	,	,	PUNCT
bracis-19050	264	34	j.m.f	j.m.f	NOUN
bracis-19050	264	35	.	.	PUNCT
bracis-19050	264	36	:	:	PUNCT
bracis-19050	264	37	towards	towards	ADP
bracis-19050	264	38	aggregating	aggregate	VERB
bracis-19050	264	39	weighted	weight	VERB
bracis-19050	264	40	feature	feature	NOUN
bracis-19050	264	41	attributions	attribution	NOUN
bracis-19050	264	42	(	(	PUNCT
bracis-19050	264	43	2019	2019	NUM
bracis-19050	264	44	)	)	PUNCT
bracis-19050	264	45	google	google	PROPN
bracis-19050	264	46	scholar	scholar	NOUN
bracis-19050	264	47	  	  	SPACE
bracis-19050	264	48	hooker	hooker	NOUN
bracis-19050	264	49	,	,	PUNCT
bracis-19050	264	50	g.	g.	PROPN
bracis-19050	264	51	,	,	PUNCT
bracis-19050	264	52	mentch	mentch	PROPN
bracis-19050	264	53	,	,	PUNCT
bracis-19050	264	54	l.	l.	PROPN
bracis-19050	264	55	:	:	PUNCT
bracis-19050	264	56	please	please	INTJ
bracis-19050	264	57	stop	stop	VERB
bracis-19050	264	58	permuting	permute	VERB
bracis-19050	264	59	features	feature	NOUN
bracis-19050	264	60	:	:	PUNCT
bracis-19050	264	61	an	an	DET
bracis-19050	264	62	explanation	explanation	NOUN
bracis-19050	264	63	and	and	CCONJ
bracis-19050	264	64	alternatives	alternative	NOUN
bracis-19050	264	65	,	,	PUNCT
bracis-19050	264	66	pp	pp	ADV
bracis-19050	264	67	.	.	PUNCT
bracis-19050	265	1	1–15	1–15	NUM
bracis-19050	265	2	(	(	PUNCT
bracis-19050	265	3	2019	2019	NUM
bracis-19050	265	4	)	)	PUNCT
bracis-19050	265	5	google	google	PROPN
bracis-19050	265	6	scholar	scholar	NOUN
bracis-19050	265	7	  	  	SPACE
bracis-19050	265	8	guidotti	guidotti	PROPN
bracis-19050	265	9	,	,	PUNCT
bracis-19050	265	10	r.	r.	PROPN
bracis-19050	265	11	,	,	PUNCT
bracis-19050	265	12	monreale	monreale	PROPN
bracis-19050	265	13	,	,	PUNCT
bracis-19050	265	14	a.	a.	NOUN
bracis-19050	265	15	,	,	PUNCT
bracis-19050	265	16	ruggieri	ruggieri	PROPN
bracis-19050	265	17	,	,	PUNCT
bracis-19050	265	18	s.	s.	PROPN
bracis-19050	265	19	,	,	PUNCT
bracis-19050	265	20	et	et	PROPN
bracis-19050	265	21	al	al	PROPN
bracis-19050	265	22	.	.	PUNCT
bracis-19050	265	23	:	:	PUNCT
bracis-19050	266	1	a	a	DET
bracis-19050	266	2	survey	survey	NOUN
bracis-19050	266	3	of	of	ADP
bracis-19050	266	4	methods	method	NOUN
bracis-19050	266	5	for	for	ADP
bracis-19050	266	6	explaining	explain	VERB
bracis-19050	266	7	black	black	ADJ
bracis-19050	266	8	box	box	NOUN
bracis-19050	266	9	models	model	NOUN
bracis-19050	266	10	.	.	PUNCT
bracis-19050	266	11	acm	acm	PROPN
bracis-19050	266	12	comput	comput	NOUN
bracis-19050	266	13	.	.	PUNCT
bracis-19050	267	1	surv	surv	NOUN
bracis-19050	267	2	.	.	PUNCT
bracis-19050	268	1	51	51	NUM
bracis-19050	268	2	(	(	PUNCT
bracis-19050	268	3	2018	2018	NUM
bracis-19050	268	4	)	)	PUNCT
bracis-19050	268	5	.	.	PUNCT
bracis-19050	269	1	https://doi.org/10.1145/3236009	https://doi.org/10.1145/3236009	X
bracis-19050	269	2	bartus	bartus	NOUN
bracis-19050	269	3	,	,	PUNCT
bracis-19050	269	4	t.	t.	PROPN
bracis-19050	269	5	:	:	PUNCT
bracis-19050	269	6	estimation	estimation	NOUN
bracis-19050	269	7	of	of	ADP
bracis-19050	269	8	marginal	marginal	ADJ
bracis-19050	269	9	effects	effect	NOUN
bracis-19050	269	10	using	use	VERB
bracis-19050	269	11	margeff	margeff	NOUN
bracis-19050	269	12	.	.	PUNCT
bracis-19050	270	1	stata	stata	PROPN
bracis-19050	270	2	j.	j.	PROPN
bracis-19050	270	3	5	5	PROPN
bracis-19050	270	4	,	,	PUNCT
bracis-19050	270	5	309–329	309–329	NUM
bracis-19050	270	6	(	(	PUNCT
bracis-19050	270	7	2005	2005	NUM
bracis-19050	270	8	)	)	PUNCT
bracis-19050	270	9	.	.	PUNCT
bracis-19050	271	1	https://doi.org/10.1177/1536867x0500500303	https://doi.org/10.1177/1536867x0500500303	PUNCT
bracis-19050	271	2	article	article	PROPN
bracis-19050	271	3	  	  	SPACE
bracis-19050	271	4	google	google	PROPN
bracis-19050	271	5	scholar	scholar	NOUN
bracis-19050	271	6	  	  	SPACE
bracis-19050	271	7	leeper	leeper	PROPN
bracis-19050	271	8	,	,	PUNCT
bracis-19050	271	9	t.j	t.j	PROPN
bracis-19050	271	10	.	.	PROPN
bracis-19050	271	11	:	:	PUNCT
bracis-19050	271	12	interpreting	interpret	VERB
bracis-19050	271	13	regression	regression	NOUN
bracis-19050	271	14	results	result	NOUN
bracis-19050	271	15	using	use	VERB
bracis-19050	271	16	average	average	ADJ
bracis-19050	271	17	marginal	marginal	ADJ
bracis-19050	271	18	effects	effect	NOUN
bracis-19050	271	19	with	with	ADP
bracis-19050	271	20	r	r	NOUN
bracis-19050	271	21	’s	’s	PART
bracis-19050	271	22	margins	margin	NOUN
bracis-19050	271	23	(	(	PUNCT
bracis-19050	271	24	2021	2021	NUM
bracis-19050	271	25	)	)	PUNCT
bracis-19050	271	26	.	.	PUNCT
bracis-19050	272	1	https://cran.r-project.org/web/packages/margins/vignettes/technicaldetails.pdf32	https://cran.r-project.org/web/packages/margins/vignettes/technicaldetails.pdf32	PROPN
bracis-19050	272	2	apley	apley	NOUN
bracis-19050	272	3	,	,	PUNCT
bracis-19050	272	4	d.w	d.w	PROPN
bracis-19050	272	5	.	.	PROPN
bracis-19050	272	6	,	,	PUNCT
bracis-19050	272	7	zhu	zhu	PROPN
bracis-19050	272	8	,	,	PUNCT
bracis-19050	272	9	j.	j.	PROPN
bracis-19050	272	10	:	:	PUNCT
bracis-19050	272	11	visualizing	visualize	VERB
bracis-19050	272	12	the	the	DET
bracis-19050	272	13	effects	effect	NOUN
bracis-19050	272	14	of	of	ADP
bracis-19050	272	15	predictor	predictor	NOUN
bracis-19050	272	16	variables	variable	NOUN
bracis-19050	272	17	in	in	ADP
bracis-19050	272	18	black	black	ADJ
bracis-19050	272	19	box	box	PROPN
bracis-19050	272	20	supervised	supervise	VERB
bracis-19050	272	21	learning	learning	NOUN
bracis-19050	272	22	models	model	NOUN
bracis-19050	272	23	.	.	PUNCT
bracis-19050	273	1	j.	j.	PROPN
bracis-19050	273	2	r.	r.	PROPN
bracis-19050	273	3	stat	stat	PROPN
bracis-19050	273	4	.	.	PUNCT
bracis-19050	274	1	soc	soc	PROPN
bracis-19050	274	2	.	.	PUNCT
bracis-19050	275	1	ser	ser	PROPN
bracis-19050	275	2	.	.	PUNCT
bracis-19050	276	1	b	b	PROPN
bracis-19050	276	2	stat	stat	PROPN
bracis-19050	276	3	.	.	PUNCT
bracis-19050	277	1	methodol	methodol	NOUN
bracis-19050	277	2	.	.	PUNCT
bracis-19050	278	1	82	82	NUM
bracis-19050	278	2	,	,	PUNCT
bracis-19050	278	3	1059–1086	1059–1086	NUM
bracis-19050	278	4	(	(	PUNCT
bracis-19050	278	5	2020	2020	NUM
bracis-19050	278	6	)	)	PUNCT
bracis-19050	278	7	.	.	PUNCT
bracis-19050	279	1	https://doi.org/10.1111/rssb.12377	https://doi.org/10.1111/rssb.12377	PROPN
bracis-19050	279	2	article	article	NOUN
bracis-19050	279	3	  	  	SPACE
bracis-19050	279	4	mathscinet	mathscinet	ADJ
bracis-19050	279	5	  	  	SPACE
bracis-19050	279	6	google	google	PROPN
bracis-19050	279	7	scholar	scholar	NOUN
bracis-19050	279	8	  	  	SPACE
bracis-19050	279	9	friedman	friedman	PROPN
bracis-19050	279	10	,	,	PUNCT
bracis-19050	279	11	j.h	j.h	PROPN
bracis-19050	279	12	.	.	PROPN
bracis-19050	279	13	:	:	PUNCT
bracis-19050	279	14	greedy	greedy	ADJ
bracis-19050	279	15	function	function	NOUN
bracis-19050	279	16	approximation	approximation	NOUN
bracis-19050	279	17	:	:	PUNCT
bracis-19050	279	18	a	a	DET
bracis-19050	279	19	gradient	gradient	ADJ
bracis-19050	279	20	boosting	boost	VERB
bracis-19050	279	21	machine	machine	NOUN
bracis-19050	279	22	.	.	PUNCT
bracis-19050	280	1	ann	ann	PROPN
bracis-19050	280	2	.	.	PUNCT
bracis-19050	280	3	stat	stat	PROPN
bracis-19050	280	4	.	.	PUNCT
bracis-19050	281	1	29	29	NUM
bracis-19050	281	2	,	,	PUNCT
bracis-19050	281	3	1189–1232	1189–1232	NUM
bracis-19050	281	4	(	(	PUNCT
bracis-19050	281	5	2001	2001	NUM
bracis-19050	281	6	)	)	PUNCT
bracis-19050	281	7	.	.	PUNCT
bracis-19050	282	1	https://doi.org/10.1214/aos/1013203451	https://doi.org/10.1214/aos/1013203451	PROPN
bracis-19050	282	2	article	article	PROPN
bracis-19050	282	3	  	  	SPACE
bracis-19050	282	4	mathscinet	mathscinet	NOUN
bracis-19050	282	5	  	  	SPACE
bracis-19050	282	6	math	math	NOUN
bracis-19050	282	7	  	  	SPACE
bracis-19050	282	8	google	google	PROPN
bracis-19050	282	9	scholar	scholar	NOUN
bracis-19050	282	10	  	  	SPACE
bracis-19050	282	11	zhao	zhao	PROPN
bracis-19050	282	12	,	,	PUNCT
bracis-19050	282	13	q.	q.	PROPN
bracis-19050	282	14	,	,	PUNCT
bracis-19050	282	15	hastie	hastie	PROPN
bracis-19050	282	16	,	,	PUNCT
bracis-19050	282	17	t.	t.	PROPN
bracis-19050	282	18	:	:	PUNCT
bracis-19050	282	19	causal	causal	ADJ
bracis-19050	282	20	interpretations	interpretation	NOUN
bracis-19050	282	21	of	of	ADP
bracis-19050	282	22	black	black	ADJ
bracis-19050	282	23	-	-	PUNCT
bracis-19050	282	24	box	box	NOUN
bracis-19050	282	25	models	model	NOUN
bracis-19050	282	26	.	.	PUNCT
bracis-19050	283	1	j.	j.	PROPN
bracis-19050	283	2	bus	bus	PROPN
bracis-19050	283	3	.	.	PUNCT
bracis-19050	283	4	econ	econ	PROPN
bracis-19050	283	5	.	.	PUNCT
bracis-19050	283	6	stat	stat	PROPN
bracis-19050	283	7	.	.	PUNCT
bracis-19050	284	1	39	39	NUM
bracis-19050	284	2	,	,	PUNCT
bracis-19050	284	3	272–281	272–281	NUM
bracis-19050	284	4	(	(	PUNCT
bracis-19050	284	5	2021	2021	NUM
bracis-19050	284	6	)	)	PUNCT
bracis-19050	284	7	.	.	PUNCT
bracis-19050	285	1	https://doi.org/10.1080/07350015.2019.1624293	https://doi.org/10.1080/07350015.2019.1624293	PROPN
bracis-19050	285	2	article	article	NOUN
bracis-19050	285	3	  	  	SPACE
bracis-19050	285	4	mathscinet	mathscinet	ADJ
bracis-19050	285	5	  	  	SPACE
bracis-19050	285	6	google	google	PROPN
bracis-19050	285	7	scholar	scholar	NOUN
bracis-19050	285	8	  	  	SPACE
bracis-19050	285	9	dua	dua	PROPN
bracis-19050	285	10	,	,	PUNCT
bracis-19050	285	11	d.	d.	PROPN
bracis-19050	285	12	,	,	PUNCT
bracis-19050	285	13	graff	graff	PROPN
bracis-19050	285	14	,	,	PUNCT
bracis-19050	285	15	c.	c.	NOUN
bracis-19050	285	16	:	:	PUNCT
bracis-19050	285	17	 	 	SPACE
bracis-19050	285	18	uci	uci	PROPN
bracis-19050	285	19	machine	machine	NOUN
bracis-19050	285	20	learning	learn	VERB
bracis-19050	285	21	repository	repository	NOUN
bracis-19050	285	22	.	.	PUNCT
bracis-19050	286	1	university	university	PROPN
bracis-19050	286	2	of	of	ADP
bracis-19050	286	3	california	california	PROPN
bracis-19050	286	4	,	,	PUNCT
bracis-19050	286	5	irvine	irvine	PROPN
bracis-19050	286	6	,	,	PUNCT
bracis-19050	286	7	school	school	NOUN
bracis-19050	286	8	of	of	ADP
bracis-19050	286	9	information	information	NOUN
bracis-19050	286	10	and	and	CCONJ
bracis-19050	286	11	computer	computer	NOUN
bracis-19050	286	12	sciences	science	NOUN
bracis-19050	286	13	 	 	SPACE
bracis-19050	286	14	(	(	PUNCT
bracis-19050	286	15	2017	2017	NUM
bracis-19050	286	16	)	)	PUNCT
bracis-19050	286	17	.	.	PUNCT
bracis-19050	286	18	 	 	SPACE
bracis-19050	287	1	http://archive.ics.uci.edu/ml	http://archive.ics.uci.edu/ml	NUM
bracis-19050	287	2	klaise	klaise	NOUN
bracis-19050	287	3	,	,	PUNCT
bracis-19050	287	4	 	 	SPACE
bracis-19050	287	5	j.	j.	PROPN
bracis-19050	287	6	,	,	PUNCT
bracis-19050	287	7	van	van	PROPN
bracis-19050	287	8	looveren	looveren	PROPN
bracis-19050	287	9	,	,	PUNCT
bracis-19050	287	10	 	 	SPACE
bracis-19050	287	11	a.	a.	NOUN
bracis-19050	287	12	,	,	PUNCT
bracis-19050	287	13	vacanti	vacanti	PROPN
bracis-19050	287	14	,	,	PUNCT
bracis-19050	287	15	g.	g.	PROPN
bracis-19050	287	16	,	,	PUNCT
bracis-19050	287	17	coca	coca	PROPN
bracis-19050	287	18	,	,	PUNCT
bracis-19050	287	19	 	 	SPACE
bracis-19050	287	20	a.	a.	NOUN
bracis-19050	287	21	:	:	PUNCT
bracis-19050	287	22	 	 	SPACE
bracis-19050	287	23	alibi	alibi	NOUN
bracis-19050	287	24	explain	explain	VERB
bracis-19050	287	25	:	:	PUNCT
bracis-19050	287	26	algorithms	algorithm	NOUN
bracis-19050	287	27	for	for	ADP
bracis-19050	287	28	explaining	explain	VERB
bracis-19050	287	29	machine	machine	NOUN
bracis-19050	287	30	learning	learning	NOUN
bracis-19050	287	31	models	model	NOUN
bracis-19050	287	32	.	.	PUNCT
bracis-19050	288	1	j.	j.	PROPN
bracis-19050	288	2	mach	mach	PROPN
bracis-19050	288	3	.	.	PUNCT
bracis-19050	289	1	learn	learn	VERB
bracis-19050	289	2	.	.	PUNCT
bracis-19050	290	1	res	re	NOUN
bracis-19050	290	2	.	.	PUNCT
bracis-19050	290	3	22(181	22(181	PROPN
bracis-19050	290	4	)	)	PUNCT
bracis-19050	290	5	,	,	PUNCT
bracis-19050	290	6	1–7	1–7	NUM
bracis-19050	290	7	(	(	PUNCT
bracis-19050	290	8	2021	2021	NUM
bracis-19050	290	9	)	)	PUNCT
bracis-19050	290	10	.	.	PUNCT
bracis-19050	290	11	 	 	SPACE
bracis-19050	291	1	http://jmlr.org/papers/v22/21-0017.html	http://jmlr.org/papers/v22/21-0017.html	NOUN
bracis-19050	291	2	mood	mood	NOUN
bracis-19050	291	3	,	,	PUNCT
bracis-19050	291	4	c.	c.	NOUN
bracis-19050	291	5	:	:	PUNCT
bracis-19050	291	6	logistic	logistic	ADJ
bracis-19050	291	7	regression	regression	NOUN
bracis-19050	291	8	:	:	PUNCT
bracis-19050	291	9	why	why	SCONJ
bracis-19050	291	10	we	we	PRON
bracis-19050	291	11	can	can	AUX
bracis-19050	291	12	not	not	PART
bracis-19050	291	13	do	do	VERB
bracis-19050	291	14	what	what	PRON
bracis-19050	291	15	we	we	PRON
bracis-19050	291	16	think	think	VERB
bracis-19050	291	17	we	we	PRON
bracis-19050	291	18	can	can	AUX
bracis-19050	291	19	do	do	VERB
bracis-19050	291	20	,	,	PUNCT
bracis-19050	291	21	and	and	CCONJ
bracis-19050	291	22	what	what	PRON
bracis-19050	291	23	we	we	PRON
bracis-19050	291	24	can	can	AUX
bracis-19050	291	25	do	do	VERB
bracis-19050	291	26	about	about	ADP
bracis-19050	291	27	it	it	PRON
bracis-19050	291	28	.	.	PUNCT
bracis-19050	292	1	eur	eur	PROPN
bracis-19050	292	2	.	.	PUNCT
bracis-19050	293	1	sociol	sociol	PROPN
bracis-19050	293	2	.	.	PUNCT
bracis-19050	294	1	rev	rev	PROPN
bracis-19050	294	2	.	.	PROPN
bracis-19050	294	3	26	26	NUM
bracis-19050	294	4	,	,	PUNCT
bracis-19050	294	5	67–82	67–82	NUM
bracis-19050	294	6	(	(	PUNCT
bracis-19050	294	7	2010	2010	NUM
bracis-19050	294	8	)	)	PUNCT
bracis-19050	294	9	.	.	PUNCT
bracis-19050	295	1	https://doi.org/10.1093/esr/jcp006	https://doi.org/10.1093/esr/jcp006	PROPN
bracis-19050	295	2	article	article	PROPN
bracis-19050	295	3	  	  	SPACE
bracis-19050	295	4	google	google	PROPN
bracis-19050	295	5	scholar	scholar	NOUN
bracis-19050	295	6	  	  	SPACE
bracis-19050	295	7	fisher	fisher	PROPN
bracis-19050	295	8	,	,	PUNCT
bracis-19050	295	9	a.	a.	PROPN
bracis-19050	295	10	,	,	PUNCT
bracis-19050	295	11	rudin	rudin	PROPN
bracis-19050	295	12	,	,	PUNCT
bracis-19050	295	13	c.	c.	PROPN
bracis-19050	295	14	,	,	PUNCT
bracis-19050	295	15	dominici	dominici	PROPN
bracis-19050	295	16	,	,	PUNCT
bracis-19050	295	17	f.	f.	PROPN
bracis-19050	295	18	:	:	PUNCT
bracis-19050	295	19	all	all	DET
bracis-19050	295	20	models	model	NOUN
bracis-19050	295	21	are	be	AUX
bracis-19050	295	22	wrong	wrong	ADJ
bracis-19050	295	23	,	,	PUNCT
bracis-19050	295	24	but	but	CCONJ
bracis-19050	295	25	many	many	ADJ
bracis-19050	295	26	are	be	AUX
bracis-19050	295	27	useful	useful	ADJ
bracis-19050	295	28	:	:	PUNCT
bracis-19050	295	29	learning	learn	VERB
bracis-19050	295	30	a	a	DET
bracis-19050	295	31	variable	variable	NOUN
bracis-19050	295	32	’s	’s	PART
bracis-19050	295	33	importance	importance	NOUN
bracis-19050	295	34	by	by	ADP
bracis-19050	295	35	studying	study	VERB
bracis-19050	295	36	an	an	DET
bracis-19050	295	37	entire	entire	ADJ
bracis-19050	295	38	class	class	NOUN
bracis-19050	295	39	of	of	ADP
bracis-19050	295	40	prediction	prediction	NOUN
bracis-19050	295	41	models	model	NOUN
bracis-19050	295	42	simultaneously	simultaneously	ADV
bracis-19050	295	43	.	.	PUNCT
bracis-19050	296	1	j.	j.	PROPN
bracis-19050	296	2	mach	mach	PROPN
bracis-19050	296	3	.	.	PUNCT
bracis-19050	297	1	learn	learn	VERB
bracis-19050	297	2	.	.	PUNCT
bracis-19050	298	1	res	re	NOUN
bracis-19050	298	2	.	.	PROPN
bracis-19050	299	1	20	20	NUM
bracis-19050	299	2	,	,	PUNCT
bracis-19050	299	3	1–81	1–81	NUM
bracis-19050	299	4	(	(	PUNCT
bracis-19050	299	5	2019	2019	NUM
bracis-19050	299	6	)	)	PUNCT
bracis-19050	299	7	mathscinet	mathscinet	NOUN
bracis-19050	299	8	  	  	SPACE
bracis-19050	299	9	math	math	NOUN
bracis-19050	299	10	  	  	SPACE
bracis-19050	299	11	google	google	PROPN
bracis-19050	299	12	scholar	scholar	NOUN
bracis-19050	299	13	  	  	SPACE
bracis-19050	299	14	download	download	NOUN
bracis-19050	299	15	references	reference	NOUN
bracis-19050	299	16	author	author	NOUN
bracis-19050	299	17	information	information	NOUN
bracis-19050	299	18	authors	author	NOUN
bracis-19050	299	19	and	and	CCONJ
bracis-19050	299	20	affiliations	affiliation	NOUN
bracis-19050	299	21	instituto	instituto	PROPN
bracis-19050	299	22	federal	federal	PROPN
bracis-19050	299	23	do	do	AUX
bracis-19050	299	24	norte	norte	PROPN
bracis-19050	299	25	de	de	PROPN
bracis-19050	299	26	minas	minas	PROPN
bracis-19050	299	27	gerais	gerais	PROPN
bracis-19050	299	28	–	–	PUNCT
bracis-19050	299	29	ifnmg	ifnmg	ADJ
bracis-19050	299	30	,	,	PUNCT
bracis-19050	299	31	montes	montes	PROPN
bracis-19050	299	32	claros	claros	PROPN
bracis-19050	299	33	,	,	PUNCT
bracis-19050	299	34	brazil	brazil	PROPN
bracis-19050	299	35	rogério	rogério	PROPN
bracis-19050	299	36	luiz	luiz	PROPN
bracis-19050	299	37	cardoso	cardoso	PROPN
bracis-19050	299	38	silva	silva	PROPN
bracis-19050	299	39	filho	filho	PROPN
bracis-19050	299	40	centro	centro	PROPN
bracis-19050	299	41	de	de	X
bracis-19050	299	42	informática	informática	PROPN
bracis-19050	299	43	,	,	PUNCT
bracis-19050	299	44	universidade	universidade	PROPN
bracis-19050	299	45	federal	federal	PROPN
bracis-19050	299	46	de	de	PROPN
bracis-19050	299	47	pernambuco	pernambuco	PROPN
bracis-19050	299	48	–	–	PUNCT
bracis-19050	299	49	ufpe	ufpe	ADJ
bracis-19050	299	50	,	,	PUNCT
bracis-19050	299	51	recife	recife	NOUN
bracis-19050	299	52	,	,	PUNCT
bracis-19050	299	53	brazil	brazil	PROPN
bracis-19050	299	54	rogério	rogério	PROPN
bracis-19050	299	55	luiz	luiz	PROPN
bracis-19050	299	56	cardoso	cardoso	PROPN
bracis-19050	299	57	silva	silva	PROPN
bracis-19050	299	58	filho	filho	PROPN
bracis-19050	299	59	 	 	SPACE
bracis-19050	299	60	&	&	CCONJ
bracis-19050	299	61	 	 	SPACE
bracis-19050	299	62	paulo	paulo	PROPN
bracis-19050	299	63	jorge	jorge	PROPN
bracis-19050	300	1	leitão	leitão	PROPN
bracis-19050	300	2	adeodato	adeodato	PROPN
bracis-19050	300	3	universidade	universidade	PROPN
bracis-19050	300	4	federal	federal	PROPN
bracis-19050	300	5	rural	rural	PROPN
bracis-19050	300	6	de	de	X
bracis-19050	300	7	pernambuco	pernambuco	PROPN
bracis-19050	300	8	–	–	PUNCT
bracis-19050	300	9	ufrpe	ufrpe	PROPN
bracis-19050	300	10	,	,	PUNCT
bracis-19050	300	11	recife	recife	PROPN
bracis-19050	300	12	,	,	PUNCT
bracis-19050	300	13	brazil	brazil	PROPN
bracis-19050	300	14	kellyton	kellyton	PROPN
bracis-19050	300	15	dos	do	VERB
bracis-19050	300	16	santos	santos	PROPN
bracis-19050	300	17	brito	brito	PROPN
bracis-19050	300	18	authors	author	NOUN
bracis-19050	300	19	rogério	rogério	PROPN
bracis-19050	300	20	luiz	luiz	PROPN
bracis-19050	300	21	cardoso	cardoso	PROPN
bracis-19050	300	22	silva	silva	PROPN
bracis-19050	300	23	filhoview	filhoview	PROPN
bracis-19050	300	24	author	author	NOUN
bracis-19050	300	25	publications	publication	NOUN
bracis-19050	300	26	search	search	NOUN
bracis-19050	300	27	author	author	NOUN
bracis-19050	300	28	on	on	ADP
bracis-19050	300	29	:	:	PUNCT
bracis-19050	300	30	pubmed	pubmed	PROPN
bracis-19050	300	31	 	 	SPACE
bracis-19050	300	32	google	google	PROPN
bracis-19050	300	33	scholar	scholar	PROPN
bracis-19050	300	34	paulo	paulo	PROPN
bracis-19050	300	35	jorge	jorge	PROPN
bracis-19050	300	36	leitão	leitão	PROPN
bracis-19050	300	37	adeodatoview	adeodatoview	VERB
bracis-19050	300	38	author	author	NOUN
bracis-19050	300	39	publications	publication	NOUN
bracis-19050	300	40	search	search	NOUN
bracis-19050	300	41	author	author	NOUN
bracis-19050	300	42	on	on	ADP
bracis-19050	300	43	:	:	PUNCT
bracis-19050	300	44	pubmed	pubmed	PROPN
bracis-19050	300	45	 	 	SPACE
bracis-19050	300	46	google	google	PROPN
bracis-19050	300	47	scholar	scholar	NOUN
bracis-19050	300	48	kellyton	kellyton	NOUN
bracis-19050	300	49	dos	do	VERB
bracis-19050	300	50	santos	santo	NOUN
bracis-19050	300	51	britoview	britoview	VERB
bracis-19050	300	52	author	author	NOUN
bracis-19050	300	53	publications	publication	NOUN
bracis-19050	300	54	search	search	NOUN
bracis-19050	300	55	author	author	NOUN
bracis-19050	300	56	on	on	ADP
bracis-19050	300	57	:	:	PUNCT
bracis-19050	300	58	pubmed	pubmed	PROPN
bracis-19050	300	59	 	 	SPACE
bracis-19050	300	60	google	google	PROPN
bracis-19050	300	61	scholar	scholar	NOUN
bracis-19050	300	62	corresponding	correspond	VERB
bracis-19050	300	63	author	author	NOUN
bracis-19050	300	64	correspondence	correspondence	NOUN
bracis-19050	300	65	to	to	ADP
bracis-19050	300	66	rogério	rogério	PROPN
bracis-19050	300	67	luiz	luiz	PROPN
bracis-19050	300	68	cardoso	cardoso	PROPN
bracis-19050	300	69	silva	silva	PROPN
bracis-19050	300	70	filho	filho	PROPN
bracis-19050	300	71	.	.	PUNCT
bracis-19050	301	1	editor	editor	NOUN
bracis-19050	301	2	information	information	NOUN
bracis-19050	301	3	editors	editor	NOUN
bracis-19050	301	4	and	and	CCONJ
bracis-19050	301	5	affiliations	affiliation	NOUN
bracis-19050	301	6	universidade	universidade	PROPN
bracis-19050	301	7	federal	federal	PROPN
bracis-19050	301	8	de	de	X
bracis-19050	301	9	sergipe	sergipe	PROPN
bracis-19050	301	10	,	,	PUNCT
bracis-19050	301	11	são	são	NOUN
bracis-19050	301	12	cristóvão	cristóvão	PROPN
bracis-19050	301	13	,	,	PUNCT
bracis-19050	301	14	brazil	brazil	PROPN
bracis-19050	301	15	andré	andré	PROPN
bracis-19050	301	16	britto	britto	PROPN
bracis-19050	301	17	universidade	universidade	PROPN
bracis-19050	301	18	de	de	PROPN
bracis-19050	301	19	são	são	PROPN
bracis-19050	301	20	paulo	paulo	PROPN
bracis-19050	301	21	,	,	PUNCT
bracis-19050	301	22	são	são	PROPN
bracis-19050	301	23	paulo	paulo	PROPN
bracis-19050	301	24	,	,	PUNCT
bracis-19050	301	25	brazil	brazil	PROPN
bracis-19050	301	26	karina	karina	PROPN
bracis-19050	301	27	valdivia	valdivia	PROPN
bracis-19050	301	28	delgado	delgado	VERB
bracis-19050	301	29	rights	right	NOUN
bracis-19050	301	30	and	and	CCONJ
bracis-19050	301	31	permissions	permission	NOUN
bracis-19050	301	32	reprints	reprint	NOUN
bracis-19050	301	33	and	and	CCONJ
bracis-19050	301	34	permissions	permission	VERB
bracis-19050	301	35	copyright	copyright	NOUN
bracis-19050	301	36	information	information	NOUN
bracis-19050	301	37	©	©	PROPN
bracis-19050	301	38	2021	2021	NUM
bracis-19050	301	39	springer	springer	NOUN
bracis-19050	301	40	nature	nature	NOUN
bracis-19050	301	41	switzerland	switzerland	PROPN
bracis-19050	301	42	ag	ag	PROPN
bracis-19050	301	43	about	about	ADP
bracis-19050	301	44	this	this	DET
bracis-19050	301	45	paper	paper	NOUN
bracis-19050	301	46	cite	cite	VERB
bracis-19050	301	47	this	this	DET
bracis-19050	301	48	paper	paper	NOUN
bracis-19050	301	49	silva	silva	NOUN
bracis-19050	301	50	filho	filho	PROPN
bracis-19050	301	51	,	,	PUNCT
bracis-19050	301	52	r.l.c	r.l.c	NOUN
bracis-19050	301	53	.	.	PROPN
bracis-19050	301	54	,	,	PUNCT
bracis-19050	301	55	adeodato	adeodato	PROPN
bracis-19050	301	56	,	,	PUNCT
bracis-19050	301	57	p.j.l	p.j.l	PROPN
bracis-19050	301	58	.	.	PROPN
bracis-19050	301	59	,	,	PUNCT
bracis-19050	301	60	dos	do	VERB
bracis-19050	301	61	santos	santos	PROPN
bracis-19050	301	62	brito	brito	PROPN
bracis-19050	301	63	,	,	PUNCT
bracis-19050	301	64	k.	k.	PROPN
bracis-19050	301	65	(	(	PUNCT
bracis-19050	301	66	2021	2021	NUM
bracis-19050	301	67	)	)	PUNCT
bracis-19050	301	68	.	.	PUNCT
bracis-19050	302	1	interpreting	interpret	VERB
bracis-19050	302	2	classification	classification	NOUN
bracis-19050	302	3	models	model	NOUN
bracis-19050	302	4	using	use	VERB
bracis-19050	302	5	feature	feature	NOUN
bracis-19050	302	6	importance	importance	NOUN
bracis-19050	302	7	based	base	VERB
bracis-19050	302	8	on	on	ADP
bracis-19050	302	9	marginal	marginal	ADJ
bracis-19050	302	10	local	local	ADJ
bracis-19050	302	11	effects	effect	NOUN
bracis-19050	302	12	.	.	PUNCT
bracis-19050	303	1	in	in	ADP
bracis-19050	303	2	:	:	PUNCT
bracis-19050	303	3	britto	britto	PROPN
bracis-19050	303	4	,	,	PUNCT
bracis-19050	303	5	a.	a.	PROPN
bracis-19050	303	6	,	,	PUNCT
bracis-19050	303	7	valdivia	valdivia	PROPN
bracis-19050	303	8	delgado	delgado	PROPN
bracis-19050	303	9	,	,	PUNCT
bracis-19050	303	10	k.	k.	PROPN
bracis-19050	303	11	(	(	PUNCT
bracis-19050	303	12	eds	eds	PROPN
bracis-19050	303	13	)	)	PUNCT
bracis-19050	303	14	intelligent	intelligent	ADJ
bracis-19050	303	15	systems	system	NOUN
bracis-19050	303	16	.	.	PUNCT
bracis-19050	304	1	bracis	bracis	PROPN
bracis-19050	304	2	2021	2021	NUM
bracis-19050	304	3	.	.	PUNCT
bracis-19050	305	1	lecture	lecture	NOUN
bracis-19050	305	2	notes	note	NOUN
bracis-19050	305	3	in	in	ADP
bracis-19050	305	4	computer	computer	NOUN
bracis-19050	305	5	science	science	NOUN
bracis-19050	305	6	(	(	PUNCT
bracis-19050	305	7	)	)	PUNCT
bracis-19050	305	8	,	,	PUNCT
bracis-19050	305	9	vol	vol	NOUN
bracis-19050	305	10	13073	13073	NUM
bracis-19050	305	11	.	.	PUNCT
bracis-19050	306	1	springer	springer	NOUN
bracis-19050	306	2	,	,	PUNCT
bracis-19050	306	3	cham	cham	PROPN
bracis-19050	306	4	.	.	PUNCT
bracis-19050	307	1	https://doi.org/10.1007/978-3-030-91702-9_32	https://doi.org/10.1007/978-3-030-91702-9_32	PROPN
bracis-19050	307	2	download	download	NOUN
bracis-19050	307	3	citation	citation	NOUN
bracis-19050	307	4	.ris	.ris	PUNCT
bracis-19050	308	1	.enw	.enw	PROPN
bracis-19050	308	2	.bib	.bib	PUNCT
bracis-19050	309	1	doi	doi	PROPN
bracis-19050	309	2	:	:	PUNCT
bracis-19050	309	3	https://doi.org/10.1007/978-3-030-91702-9_32	https://doi.org/10.1007/978-3-030-91702-9_32	PROPN
bracis-19050	309	4	published	publish	VERB
bracis-19050	309	5	:	:	PUNCT
bracis-19050	309	6	28	28	NUM
bracis-19050	309	7	november	november	PROPN
bracis-19050	309	8	2021	2021	NUM
bracis-19050	309	9	publisher	publisher	NOUN
bracis-19050	309	10	name	name	NOUN
bracis-19050	309	11	:	:	PUNCT
bracis-19050	309	12	springer	springer	NOUN
bracis-19050	309	13	,	,	PUNCT
bracis-19050	309	14	cham	cham	PROPN
bracis-19050	309	15	print	print	PROPN
bracis-19050	309	16	isbn	isbn	PROPN
bracis-19050	309	17	:	:	PUNCT
bracis-19050	309	18	978	978	NUM
bracis-19050	309	19	-	-	SYM
bracis-19050	309	20	3	3	NUM
bracis-19050	309	21	-	-	PUNCT
bracis-19050	309	22	030	030	NUM
bracis-19050	309	23	-	-	PUNCT
bracis-19050	309	24	91701	91701	NUM
bracis-19050	309	25	-	-	SYM
bracis-19050	309	26	2	2	NUM
bracis-19050	309	27	online	online	ADJ
bracis-19050	309	28	isbn	isbn	NOUN
bracis-19050	309	29	:	:	PUNCT
bracis-19050	309	30	978	978	NUM
bracis-19050	309	31	-	-	SYM
bracis-19050	309	32	3	3	NUM
bracis-19050	309	33	-	-	PUNCT
bracis-19050	309	34	030	030	NUM
bracis-19050	309	35	-	-	PUNCT
bracis-19050	309	36	91702	91702	NUM
bracis-19050	309	37	-	-	SYM
bracis-19050	309	38	9	9	NUM
bracis-19050	309	39	ebook	ebook	NOUN
bracis-19050	309	40	packages	package	NOUN
bracis-19050	309	41	:	:	PUNCT
bracis-19050	309	42	computer	computer	NOUN
bracis-19050	309	43	sciencecomputer	sciencecomputer	NOUN
bracis-19050	309	44	science	science	NOUN
bracis-19050	309	45	(	(	PUNCT
bracis-19050	309	46	r0	r0	NOUN
bracis-19050	309	47	)	)	PUNCT
bracis-19050	309	48	share	share	VERB
bracis-19050	309	49	this	this	DET
bracis-19050	309	50	paper	paper	NOUN
bracis-19050	309	51	anyone	anyone	PRON
bracis-19050	309	52	you	you	PRON
bracis-19050	309	53	share	share	VERB
bracis-19050	309	54	the	the	DET
bracis-19050	309	55	following	follow	VERB
bracis-19050	309	56	link	link	NOUN
bracis-19050	309	57	with	with	ADP
bracis-19050	309	58	will	will	AUX
bracis-19050	309	59	be	be	AUX
bracis-19050	309	60	able	able	ADJ
bracis-19050	309	61	to	to	PART
bracis-19050	309	62	read	read	VERB
bracis-19050	309	63	this	this	DET
bracis-19050	309	64	content	content	NOUN
bracis-19050	309	65	:	:	PUNCT
bracis-19050	309	66	get	get	VERB
bracis-19050	309	67	shareable	shareable	ADJ
bracis-19050	309	68	linksorry	linksorry	NOUN
bracis-19050	309	69	,	,	PUNCT
bracis-19050	309	70	a	a	DET
bracis-19050	309	71	shareable	shareable	ADJ
bracis-19050	309	72	link	link	NOUN
bracis-19050	309	73	is	be	AUX
bracis-19050	309	74	not	not	PART
bracis-19050	309	75	currently	currently	ADV
bracis-19050	309	76	available	available	ADJ
bracis-19050	309	77	for	for	ADP
bracis-19050	309	78	this	this	DET
bracis-19050	309	79	article	article	NOUN
bracis-19050	309	80	.	.	PUNCT
bracis-19050	310	1	copy	copy	VERB
bracis-19050	310	2	shareable	shareable	ADJ
bracis-19050	310	3	link	link	NOUN
bracis-19050	310	4	to	to	PART
bracis-19050	310	5	clipboard	clipboard	NOUN
bracis-19050	310	6	provided	provide	VERB
bracis-19050	310	7	by	by	ADP
bracis-19050	310	8	the	the	DET
bracis-19050	310	9	springer	springer	NOUN
bracis-19050	310	10	nature	nature	PROPN
bracis-19050	310	11	sharedit	sharedit	PROPN
bracis-19050	310	12	content	content	NOUN
bracis-19050	310	13	-	-	PUNCT
bracis-19050	310	14	sharing	share	VERB
bracis-19050	310	15	initiative	initiative	NOUN
bracis-19050	310	16	keywords	keyword	NOUN
bracis-19050	310	17	feature	feature	VERB
bracis-19050	310	18	importance	importance	NOUN
bracis-19050	310	19	explainable	explainable	ADJ
bracis-19050	310	20	artificial	artificial	ADJ
bracis-19050	310	21	intelligence	intelligence	NOUN
bracis-19050	310	22	ale	ale	NOUN
bracis-19050	310	23	plots	plot	NOUN
bracis-19050	310	24	publish	publish	VERB
bracis-19050	310	25	with	with	ADP
bracis-19050	310	26	us	us	PROPN
bracis-19050	310	27	policies	policy	NOUN
bracis-19050	310	28	and	and	CCONJ
bracis-19050	310	29	ethics	ethic	NOUN
bracis-19050	310	30	search	search	NOUN
bracis-19050	310	31	search	search	NOUN
bracis-19050	310	32	by	by	ADP
bracis-19050	310	33	keyword	keyword	NOUN
bracis-19050	310	34	or	or	CCONJ
bracis-19050	310	35	author	author	NOUN
bracis-19050	310	36	search	search	NOUN
bracis-19050	310	37	navigation	navigation	NOUN
bracis-19050	310	38	find	find	VERB
bracis-19050	310	39	a	a	DET
bracis-19050	310	40	journal	journal	NOUN
bracis-19050	310	41	publish	publish	VERB
bracis-19050	310	42	with	with	ADP
bracis-19050	310	43	us	we	PRON
bracis-19050	310	44	track	track	VERB
bracis-19050	310	45	your	your	PRON
bracis-19050	310	46	research	research	NOUN
bracis-19050	310	47	discover	discover	VERB
bracis-19050	310	48	content	content	NOUN
bracis-19050	310	49	journals	journal	NOUN
bracis-19050	310	50	a	a	DET
bracis-19050	310	51	-	-	PUNCT
bracis-19050	310	52	z	z	NOUN
bracis-19050	310	53	books	book	NOUN
bracis-19050	310	54	a	a	DET
bracis-19050	310	55	-	-	PUNCT
bracis-19050	310	56	z	z	NOUN
bracis-19050	310	57	publish	publish	NOUN
bracis-19050	310	58	with	with	ADP
bracis-19050	310	59	us	us	PROPN
bracis-19050	310	60	journal	journal	PROPN
bracis-19050	310	61	finder	finder	PROPN
bracis-19050	310	62	publish	publish	VERB
bracis-19050	310	63	your	your	PRON
bracis-19050	310	64	research	research	NOUN
bracis-19050	310	65	language	language	NOUN
bracis-19050	310	66	editing	edit	VERB
bracis-19050	310	67	open	open	ADJ
bracis-19050	310	68	access	access	NOUN
bracis-19050	310	69	publishing	publishing	NOUN
bracis-19050	310	70	products	product	NOUN
bracis-19050	310	71	and	and	CCONJ
bracis-19050	310	72	services	service	NOUN
bracis-19050	310	73	our	our	PRON
bracis-19050	310	74	products	product	NOUN
bracis-19050	310	75	librarians	librarian	VERB
bracis-19050	310	76	societies	society	NOUN
bracis-19050	310	77	partners	partner	NOUN
bracis-19050	310	78	and	and	CCONJ
bracis-19050	310	79	advertisers	advertiser	NOUN
bracis-19050	310	80	our	our	PRON
bracis-19050	310	81	brands	brand	NOUN
bracis-19050	310	82	springer	springer	NOUN
bracis-19050	310	83	nature	nature	PROPN
bracis-19050	310	84	portfolio	portfolio	PROPN
bracis-19050	310	85	bmc	bmc	PROPN
bracis-19050	310	86	palgrave	palgrave	PROPN
bracis-19050	310	87	macmillan	macmillan	PROPN
bracis-19050	310	88	apress	apress	PROPN
bracis-19050	310	89	discover	discover	VERB
bracis-19050	310	90	your	your	PRON
bracis-19050	310	91	privacy	privacy	NOUN
bracis-19050	310	92	choices	choice	NOUN
bracis-19050	310	93	/	/	SYM
bracis-19050	310	94	manage	manage	NOUN
bracis-19050	310	95	cookies	cookie	NOUN
bracis-19050	310	96	your	your	PRON
bracis-19050	310	97	us	us	PROPN
bracis-19050	311	1	state	state	NOUN
bracis-19050	311	2	privacy	privacy	NOUN
bracis-19050	311	3	rights	right	NOUN
bracis-19050	311	4	accessibility	accessibility	NOUN
bracis-19050	311	5	statement	statement	NOUN
bracis-19050	311	6	terms	term	NOUN
bracis-19050	311	7	and	and	CCONJ
bracis-19050	311	8	conditions	condition	NOUN
bracis-19050	311	9	privacy	privacy	NOUN
bracis-19050	311	10	policy	policy	NOUN
bracis-19050	311	11	help	help	NOUN
bracis-19050	311	12	and	and	CCONJ
bracis-19050	311	13	support	support	VERB
bracis-19050	311	14	legal	legal	ADJ
bracis-19050	311	15	notice	notice	NOUN
bracis-19050	311	16	cancel	cancel	VERB
bracis-19050	311	17	contracts	contract	NOUN
bracis-19050	311	18	here	here	ADV
bracis-19050	311	19	129.74.145.123	129.74.145.123	NUM
bracis-19050	311	20	hesburgh	hesburgh	PROPN
bracis-19050	311	21	library	library	PROPN
bracis-19050	311	22	er	er	INTJ
bracis-19050	311	23	unit	unit	NOUN
bracis-19050	311	24	(	(	PUNCT
bracis-19050	311	25	3005732405	3005732405	NUM
bracis-19050	311	26	)	)	PUNCT
bracis-19050	311	27	northeast	northeast	ADJ
bracis-19050	311	28	research	research	NOUN
bracis-19050	311	29	libraries	library	NOUN
bracis-19050	311	30	(	(	PUNCT
bracis-19050	311	31	nerl	nerl	PROPN
bracis-19050	311	32	)	)	PUNCT
bracis-19050	311	33	(	(	PUNCT
bracis-19050	311	34	8200828607	8200828607	NUM
bracis-19050	311	35	)	)	PUNCT
bracis-19050	311	36	nerl	nerl	VERB
bracis-19050	311	37	ta	ta	X
bracis-19050	311	38	account	account	NOUN
bracis-19050	311	39	(	(	PUNCT
bracis-19050	311	40	3006206169	3006206169	NUM
bracis-19050	311	41	)	)	PUNCT
bracis-19050	311	42	university	university	NOUN
bracis-19050	311	43	of	of	ADP
bracis-19050	311	44	notre	notre	PROPN
bracis-19050	311	45	dame	dame	PROPN
bracis-19050	311	46	hesburgh	hesburgh	PROPN
bracis-19050	311	47	library	library	NOUN
bracis-19050	311	48	(	(	PUNCT
bracis-19050	311	49	3000184373	3000184373	NUM
bracis-19050	311	50	)	)	PUNCT
bracis-19050	312	1	©	©	ADP
bracis-19050	312	2	2025	2025	NUM
bracis-19050	312	3	springer	springer	NOUN
bracis-19050	312	4	nature	nature	NOUN