id	sid	tid	token	lemma	pos
ajst-32559	1	1	143	143	NUM
ajst-32559	1	2	titanic	titanic	ADJ
ajst-32559	1	3	survival	survival	NOUN
ajst-32559	1	4	prediction	prediction	NOUN
ajst-32559	1	5	:	:	PUNCT
ajst-32559	1	6	machine	machine	NOUN
ajst-32559	1	7	learning	learning	NOUN
ajst-32559	1	8	and	and	CCONJ
ajst-32559	1	9	data	datum	NOUN
ajst-32559	1	10	processing	processing	NOUN
ajst-32559	1	11	based	base	VERB
ajst-32559	1	12	on	on	ADP
ajst-32559	1	13	statistical	statistical	ADJ
ajst-32559	1	14	principles	principle	NOUN
ajst-32559	1	15	qianyou	qianyou	PROPN
ajst-32559	1	16	(	(	PUNCT
ajst-32559	1	17	klay	klay	PROPN
ajst-32559	1	18	)	)	PUNCT
ajst-32559	1	19	li	li	PROPN
ajst-32559	1	20	1	1	NUM
ajst-32559	1	21	,	,	PUNCT
ajst-32559	1	22	*	*	PUNCT
ajst-32559	1	23	,	,	PUNCT
ajst-32559	1	24	jiahao	jiahao	X
ajst-32559	1	25	(	(	PUNCT
ajst-32559	1	26	joe	joe	PROPN
ajst-32559	1	27	)	)	PUNCT
ajst-32559	1	28	song	song	NOUN
ajst-32559	1	29	2	2	NUM
ajst-32559	1	30	,	,	PUNCT
ajst-32559	1	31	a	a	DET
ajst-32559	1	32	,	,	PUNCT
ajst-32559	1	33	minghao	minghao	NOUN
ajst-32559	1	34	(	(	PUNCT
ajst-32559	1	35	terrence	terrence	PROPN
ajst-32559	1	36	)	)	PUNCT
ajst-32559	1	37	yu	yu	PROPN
ajst-32559	1	38	3	3	NUM
ajst-32559	1	39	,	,	PUNCT
ajst-32559	1	40	b	b	PROPN
ajst-32559	1	41	1	1	NUM
ajst-32559	1	42	d’overbroeck	d’overbroeck	PROPN
ajst-32559	1	43	’s	’s	NOUN
ajst-32559	1	44	oxford	oxford	NOUN
ajst-32559	1	45	,	,	PUNCT
ajst-32559	1	46	oxford	oxford	PROPN
ajst-32559	1	47	,	,	PUNCT
ajst-32559	1	48	united	united	ADJ
ajst-32559	1	49	kingdom	kingdom	PROPN
ajst-32559	1	50	2	2	NUM
ajst-32559	1	51	shanghai	shanghai	PROPN
ajst-32559	1	52	starriver	starriver	PROPN
ajst-32559	1	53	bilingual	bilingual	PROPN
ajst-32559	1	54	school	school	PROPN
ajst-32559	1	55	,	,	PUNCT
ajst-32559	1	56	shanghai	shanghai	PROPN
ajst-32559	1	57	,	,	PUNCT
ajst-32559	1	58	china	china	PROPN
ajst-32559	1	59	3	3	NUM
ajst-32559	1	60	yew	yew	PROPN
ajst-32559	1	61	chung	chung	PROPN
ajst-32559	1	62	international	international	PROPN
ajst-32559	1	63	school	school	NOUN
ajst-32559	1	64	of	of	ADP
ajst-32559	1	65	beijing	beijing	PROPN
ajst-32559	1	66	,	,	PUNCT
ajst-32559	1	67	beijing	beijing	PROPN
ajst-32559	1	68	,	,	PUNCT
ajst-32559	1	69	china	china	PROPN
ajst-32559	1	70	*	*	PUNCT
ajst-32559	1	71	corresponding	correspond	VERB
ajst-32559	1	72	author	author	NOUN
ajst-32559	1	73	:	:	PUNCT
ajst-32559	1	74	qianyou	qianyou	PROPN
ajst-32559	1	75	(	(	PUNCT
ajst-32559	1	76	klay	klay	PROPN
ajst-32559	1	77	)	)	PUNCT
ajst-32559	1	78	li	li	PROPN
ajst-32559	1	79	(	(	PUNCT
ajst-32559	1	80	email	email	NOUN
ajst-32559	1	81	:	:	PUNCT
ajst-32559	1	82	kli966124@gmail.com	kli966124@gmail.com	X
ajst-32559	1	83	)	)	PUNCT
ajst-32559	1	84	,	,	PUNCT
ajst-32559	1	85	a	a	DET
ajst-32559	1	86	joesong0612@163.com	joesong0612@163.com	PROPN
ajst-32559	1	87	,	,	PUNCT
ajst-32559	1	88	b	b	NOUN
ajst-32559	1	89	terrenceyu610@icloud.com	terrenceyu610@icloud.com	X
ajst-32559	1	90	abstract	abstract	NOUN
ajst-32559	1	91	.	.	PUNCT
ajst-32559	2	1	on	on	ADP
ajst-32559	2	2	april	april	PROPN
ajst-32559	2	3	15	15	NUM
ajst-32559	2	4	,	,	PUNCT
ajst-32559	2	5	1912	1912	NUM
ajst-32559	2	6	,	,	PUNCT
ajst-32559	2	7	the	the	DET
ajst-32559	2	8	rms	rm	NOUN
ajst-32559	2	9	titanic	titanic	NOUN
ajst-32559	2	10	sank	sink	VERB
ajst-32559	2	11	during	during	ADP
ajst-32559	2	12	its	its	PRON
ajst-32559	2	13	maiden	maiden	ADJ
ajst-32559	2	14	voyage	voyage	NOUN
ajst-32559	2	15	from	from	ADP
ajst-32559	2	16	southampton	southampton	PROPN
ajst-32559	2	17	to	to	ADP
ajst-32559	2	18	new	new	PROPN
ajst-32559	2	19	york	york	PROPN
ajst-32559	2	20	after	after	ADP
ajst-32559	2	21	colliding	collide	VERB
ajst-32559	2	22	with	with	ADP
ajst-32559	2	23	a	a	DET
ajst-32559	2	24	massive	massive	ADJ
ajst-32559	2	25	iceberg	iceberg	NOUN
ajst-32559	2	26	,	,	PUNCT
ajst-32559	2	27	resulting	result	VERB
ajst-32559	2	28	in	in	ADP
ajst-32559	2	29	the	the	DET
ajst-32559	2	30	loss	loss	NOUN
ajst-32559	2	31	of	of	ADP
ajst-32559	2	32	1,502	1,502	NUM
ajst-32559	2	33	lives	life	NOUN
ajst-32559	2	34	out	out	ADP
ajst-32559	2	35	of	of	ADP
ajst-32559	2	36	2,224	2,224	NUM
ajst-32559	2	37	people	people	NOUN
ajst-32559	2	38	on	on	ADP
ajst-32559	2	39	board	board	NOUN
ajst-32559	2	40	.	.	PUNCT
ajst-32559	3	1	this	this	DET
ajst-32559	3	2	essay	essay	NOUN
ajst-32559	3	3	aimed	aim	VERB
ajst-32559	3	4	to	to	PART
ajst-32559	3	5	investigate	investigate	VERB
ajst-32559	3	6	potential	potential	ADJ
ajst-32559	3	7	factors	factor	NOUN
ajst-32559	3	8	that	that	PRON
ajst-32559	3	9	influenced	influence	VERB
ajst-32559	3	10	the	the	DET
ajst-32559	3	11	survival	survival	NOUN
ajst-32559	3	12	rate	rate	NOUN
ajst-32559	3	13	of	of	ADP
ajst-32559	3	14	passengers	passenger	NOUN
ajst-32559	3	15	on	on	ADP
ajst-32559	3	16	the	the	DET
ajst-32559	3	17	titanic	titanic	ADJ
ajst-32559	3	18	and	and	CCONJ
ajst-32559	3	19	introduced	introduce	VERB
ajst-32559	3	20	a	a	DET
ajst-32559	3	21	statistical	statistical	ADJ
ajst-32559	3	22	model	model	NOUN
ajst-32559	3	23	incorporating	incorporate	VERB
ajst-32559	3	24	logistic	logistic	ADJ
ajst-32559	3	25	regression	regression	NOUN
ajst-32559	3	26	,	,	PUNCT
ajst-32559	3	27	decision	decision	NOUN
ajst-32559	3	28	trees	tree	NOUN
ajst-32559	3	29	,	,	PUNCT
ajst-32559	3	30	random	random	ADJ
ajst-32559	3	31	forests	forest	NOUN
ajst-32559	3	32	,	,	PUNCT
ajst-32559	3	33	support	support	VERB
ajst-32559	3	34	vector	vector	NOUN
ajst-32559	3	35	machines	machine	NOUN
ajst-32559	3	36	,	,	PUNCT
ajst-32559	3	37	cox	cox	PROPN
ajst-32559	3	38	regression	regression	NOUN
ajst-32559	3	39	,	,	PUNCT
ajst-32559	3	40	and	and	CCONJ
ajst-32559	3	41	hard	hard	ADJ
ajst-32559	3	42	voting	voting	NOUN
ajst-32559	3	43	to	to	PART
ajst-32559	3	44	predict	predict	VERB
ajst-32559	3	45	the	the	DET
ajst-32559	3	46	survival	survival	NOUN
ajst-32559	3	47	probability	probability	NOUN
ajst-32559	3	48	of	of	ADP
ajst-32559	3	49	a	a	DET
ajst-32559	3	50	randomly	randomly	ADV
ajst-32559	3	51	selected	select	VERB
ajst-32559	3	52	group	group	NOUN
ajst-32559	3	53	of	of	ADP
ajst-32559	3	54	people	people	NOUN
ajst-32559	3	55	in	in	ADP
ajst-32559	3	56	this	this	DET
ajst-32559	3	57	incident	incident	NOUN
ajst-32559	3	58	.	.	PUNCT
ajst-32559	4	1	the	the	DET
ajst-32559	4	2	modeling	modeling	NOUN
ajst-32559	4	3	process	process	NOUN
ajst-32559	4	4	involved	involve	VERB
ajst-32559	4	5	imputing	impute	VERB
ajst-32559	4	6	missing	miss	VERB
ajst-32559	4	7	values	value	NOUN
ajst-32559	4	8	,	,	PUNCT
ajst-32559	4	9	visualizing	visualize	VERB
ajst-32559	4	10	data	datum	NOUN
ajst-32559	4	11	,	,	PUNCT
ajst-32559	4	12	creating	create	VERB
ajst-32559	4	13	new	new	ADJ
ajst-32559	4	14	variables	variable	NOUN
ajst-32559	4	15	through	through	ADP
ajst-32559	4	16	feature	feature	NOUN
ajst-32559	4	17	engineering	engineering	NOUN
ajst-32559	4	18	,	,	PUNCT
ajst-32559	4	19	and	and	CCONJ
ajst-32559	4	20	fitting	fit	VERB
ajst-32559	4	21	the	the	DET
ajst-32559	4	22	aforementioned	aforementioned	ADJ
ajst-32559	4	23	models	model	NOUN
ajst-32559	4	24	to	to	ADP
ajst-32559	4	25	the	the	DET
ajst-32559	4	26	dataset	dataset	NOUN
ajst-32559	4	27	to	to	PART
ajst-32559	4	28	achieve	achieve	VERB
ajst-32559	4	29	precise	precise	ADJ
ajst-32559	4	30	analysis	analysis	NOUN
ajst-32559	4	31	and	and	CCONJ
ajst-32559	4	32	prediction	prediction	NOUN
ajst-32559	4	33	.	.	PUNCT
ajst-32559	5	1	overall	overall	ADV
ajst-32559	5	2	,	,	PUNCT
ajst-32559	5	3	the	the	DET
ajst-32559	5	4	model	model	NOUN
ajst-32559	5	5	presented	present	VERB
ajst-32559	5	6	an	an	DET
ajst-32559	5	7	accuracy	accuracy	NOUN
ajst-32559	5	8	of	of	ADP
ajst-32559	5	9	88.20	88.20	NUM
ajst-32559	5	10	%	%	NOUN
ajst-32559	5	11	.	.	PUNCT
ajst-32559	6	1	by	by	ADP
ajst-32559	6	2	blending	blend	VERB
ajst-32559	6	3	classification	classification	NOUN
ajst-32559	6	4	,	,	PUNCT
ajst-32559	6	5	survival	survival	NOUN
ajst-32559	6	6	analysis	analysis	NOUN
ajst-32559	6	7	,	,	PUNCT
ajst-32559	6	8	and	and	CCONJ
ajst-32559	6	9	ensemble	ensemble	ADJ
ajst-32559	6	10	learning	learning	NOUN
ajst-32559	6	11	,	,	PUNCT
ajst-32559	6	12	the	the	DET
ajst-32559	6	13	model	model	NOUN
ajst-32559	6	14	could	could	AUX
ajst-32559	6	15	be	be	AUX
ajst-32559	6	16	applied	apply	VERB
ajst-32559	6	17	in	in	ADP
ajst-32559	6	18	several	several	ADJ
ajst-32559	6	19	real	real	ADJ
ajst-32559	6	20	-	-	PUNCT
ajst-32559	6	21	world	world	NOUN
ajst-32559	6	22	fields	field	NOUN
ajst-32559	6	23	,	,	PUNCT
ajst-32559	6	24	including	include	VERB
ajst-32559	6	25	healthcare	healthcare	NOUN
ajst-32559	6	26	,	,	PUNCT
ajst-32559	6	27	insurance	insurance	NOUN
ajst-32559	6	28	,	,	PUNCT
ajst-32559	6	29	and	and	CCONJ
ajst-32559	6	30	automotive	automotive	ADJ
ajst-32559	6	31	safety	safety	NOUN
ajst-32559	6	32	,	,	PUNCT
ajst-32559	6	33	by	by	ADP
ajst-32559	6	34	providing	provide	VERB
ajst-32559	6	35	survival	survival	NOUN
ajst-32559	6	36	rate	rate	NOUN
ajst-32559	6	37	or	or	CCONJ
ajst-32559	6	38	life	life	NOUN
ajst-32559	6	39	expectancy	expectancy	NOUN
ajst-32559	6	40	analysis	analysis	NOUN
ajst-32559	6	41	and	and	CCONJ
ajst-32559	6	42	prediction	prediction	NOUN
ajst-32559	6	43	based	base	VERB
ajst-32559	6	44	on	on	ADP
ajst-32559	6	45	various	various	ADJ
ajst-32559	6	46	factors	factor	NOUN
ajst-32559	6	47	.	.	PUNCT
ajst-32559	7	1	however	however	ADV
ajst-32559	7	2	,	,	PUNCT
ajst-32559	7	3	there	there	PRON
ajst-32559	7	4	were	be	VERB
ajst-32559	7	5	certain	certain	ADJ
ajst-32559	7	6	limitations	limitation	NOUN
ajst-32559	7	7	and	and	CCONJ
ajst-32559	7	8	substantial	substantial	ADJ
ajst-32559	7	9	potential	potential	NOUN
ajst-32559	7	10	for	for	ADP
ajst-32559	7	11	improvement	improvement	NOUN
ajst-32559	7	12	in	in	ADP
ajst-32559	7	13	terms	term	NOUN
ajst-32559	7	14	of	of	ADP
ajst-32559	7	15	robustness	robustness	NOUN
ajst-32559	7	16	and	and	CCONJ
ajst-32559	7	17	stability	stability	NOUN
ajst-32559	7	18	—	—	PUNCT
ajst-32559	7	19	particularly	particularly	ADV
ajst-32559	7	20	through	through	ADP
ajst-32559	7	21	the	the	DET
ajst-32559	7	22	use	use	NOUN
ajst-32559	7	23	of	of	ADP
ajst-32559	7	24	crossvalidation	crossvalidation	NOUN
ajst-32559	7	25	to	to	PART
ajst-32559	7	26	enhance	enhance	VERB
ajst-32559	7	27	generalizability	generalizability	NOUN
ajst-32559	7	28	and	and	CCONJ
ajst-32559	7	29	shap	shap	NOUN
ajst-32559	7	30	values	value	NOUN
ajst-32559	7	31	to	to	PART
ajst-32559	7	32	improve	improve	VERB
ajst-32559	7	33	model	model	NOUN
ajst-32559	7	34	interpretability	interpretability	NOUN
ajst-32559	7	35	in	in	ADP
ajst-32559	7	36	realworld	realworld	PROPN
ajst-32559	7	37	applications	application	NOUN
ajst-32559	7	38	.	.	PUNCT
ajst-32559	8	1	keywords	keyword	NOUN
ajst-32559	8	2	:	:	PUNCT
ajst-32559	8	3	titanic	titanic	ADJ
ajst-32559	8	4	;	;	PUNCT
ajst-32559	8	5	survival	survival	NOUN
ajst-32559	8	6	rate	rate	NOUN
ajst-32559	8	7	;	;	PUNCT
ajst-32559	8	8	prediction	prediction	NOUN
ajst-32559	8	9	;	;	PUNCT
ajst-32559	8	10	statistical	statistical	ADJ
ajst-32559	8	11	model	model	NOUN
ajst-32559	8	12	.	.	PUNCT
ajst-32559	9	1	1	1	X
ajst-32559	9	2	.	.	X
ajst-32559	9	3	introduction	introduction	NOUN
ajst-32559	9	4	on	on	ADP
ajst-32559	9	5	april	april	PROPN
ajst-32559	9	6	15	15	NUM
ajst-32559	9	7	,	,	PUNCT
ajst-32559	9	8	1912	1912	NUM
ajst-32559	9	9	,	,	PUNCT
ajst-32559	9	10	the	the	DET
ajst-32559	9	11	rms	rm	NOUN
ajst-32559	9	12	titanic	titanic	ADJ
ajst-32559	9	13	,	,	PUNCT
ajst-32559	9	14	widely	widely	ADV
ajst-32559	9	15	regarded	regard	VERB
ajst-32559	9	16	as	as	ADP
ajst-32559	9	17	the	the	DET
ajst-32559	9	18	epitome	epitome	NOUN
ajst-32559	9	19	of	of	ADP
ajst-32559	9	20	early	early	ADJ
ajst-32559	9	21	20th	20th	ADJ
ajst-32559	9	22	-	-	PUNCT
ajst-32559	9	23	century	century	NOUN
ajst-32559	9	24	maritime	maritime	ADJ
ajst-32559	9	25	engineering	engineering	NOUN
ajst-32559	9	26	and	and	CCONJ
ajst-32559	9	27	luxury	luxury	NOUN
ajst-32559	9	28	,	,	PUNCT
ajst-32559	9	29	sank	sink	VERB
ajst-32559	9	30	during	during	ADP
ajst-32559	9	31	its	its	PRON
ajst-32559	9	32	maiden	maiden	ADJ
ajst-32559	9	33	voyage	voyage	NOUN
ajst-32559	9	34	from	from	ADP
ajst-32559	9	35	southampton	southampton	PROPN
ajst-32559	9	36	to	to	ADP
ajst-32559	9	37	new	new	PROPN
ajst-32559	9	38	york	york	PROPN
ajst-32559	9	39	after	after	ADP
ajst-32559	9	40	colliding	collide	VERB
ajst-32559	9	41	with	with	ADP
ajst-32559	9	42	a	a	DET
ajst-32559	9	43	massive	massive	ADJ
ajst-32559	9	44	iceberg	iceberg	NOUN
ajst-32559	9	45	.	.	PUNCT
ajst-32559	10	1	according	accord	VERB
ajst-32559	10	2	to	to	ADP
ajst-32559	10	3	relevant	relevant	ADJ
ajst-32559	10	4	historical	historical	ADJ
ajst-32559	10	5	records	record	NOUN
ajst-32559	10	6	,	,	PUNCT
ajst-32559	10	7	there	there	PRON
ajst-32559	10	8	were	be	VERB
ajst-32559	10	9	2,224	2,224	NUM
ajst-32559	10	10	passengers	passenger	NOUN
ajst-32559	10	11	and	and	CCONJ
ajst-32559	10	12	crew	crew	NOUN
ajst-32559	10	13	from	from	ADP
ajst-32559	10	14	various	various	ADJ
ajst-32559	10	15	regions	region	NOUN
ajst-32559	10	16	and	and	CCONJ
ajst-32559	10	17	social	social	ADJ
ajst-32559	10	18	classes	class	NOUN
ajst-32559	10	19	onboard	onboard	ADV
ajst-32559	10	20	,	,	PUNCT
ajst-32559	10	21	among	among	ADP
ajst-32559	10	22	whom	whom	PRON
ajst-32559	10	23	1,502	1,502	NUM
ajst-32559	10	24	lost	lose	VERB
ajst-32559	10	25	their	their	PRON
ajst-32559	10	26	lives	life	NOUN
ajst-32559	10	27	in	in	ADP
ajst-32559	10	28	the	the	DET
ajst-32559	10	29	accident	accident	NOUN
ajst-32559	10	30	[	[	X
ajst-32559	10	31	1	1	NUM
ajst-32559	10	32	]	]	PUNCT
ajst-32559	10	33	.	.	PUNCT
ajst-32559	11	1	the	the	DET
ajst-32559	11	2	sinking	sinking	NOUN
ajst-32559	11	3	of	of	ADP
ajst-32559	11	4	the	the	DET
ajst-32559	11	5	titanic	titanic	NOUN
ajst-32559	11	6	remained	remain	VERB
ajst-32559	11	7	one	one	NUM
ajst-32559	11	8	of	of	ADP
ajst-32559	11	9	the	the	DET
ajst-32559	11	10	most	most	ADV
ajst-32559	11	11	significant	significant	ADJ
ajst-32559	11	12	maritime	maritime	ADJ
ajst-32559	11	13	tragedies	tragedy	NOUN
ajst-32559	11	14	in	in	ADP
ajst-32559	11	15	peacetime	peacetime	NOUN
ajst-32559	11	16	history	history	NOUN
ajst-32559	11	17	,	,	PUNCT
ajst-32559	11	18	continuing	continue	VERB
ajst-32559	11	19	to	to	PART
ajst-32559	11	20	spark	spark	VERB
ajst-32559	11	21	debate	debate	NOUN
ajst-32559	11	22	and	and	CCONJ
ajst-32559	11	23	inspire	inspire	VERB
ajst-32559	11	24	research	research	NOUN
ajst-32559	11	25	aimed	aim	VERB
ajst-32559	11	26	at	at	ADP
ajst-32559	11	27	further	far	ADV
ajst-32559	11	28	analyzing	analyze	VERB
ajst-32559	11	29	the	the	DET
ajst-32559	11	30	existing	exist	VERB
ajst-32559	11	31	data	datum	NOUN
ajst-32559	11	32	to	to	PART
ajst-32559	11	33	gain	gain	VERB
ajst-32559	11	34	deeper	deep	ADJ
ajst-32559	11	35	insights	insight	NOUN
ajst-32559	11	36	.	.	PUNCT
ajst-32559	12	1	this	this	DET
ajst-32559	12	2	essay	essay	NOUN
ajst-32559	12	3	drew	draw	VERB
ajst-32559	12	4	upon	upon	SCONJ
ajst-32559	12	5	previous	previous	ADJ
ajst-32559	12	6	research	research	NOUN
ajst-32559	12	7	findings	finding	NOUN
ajst-32559	12	8	and	and	CCONJ
ajst-32559	12	9	constructed	construct	VERB
ajst-32559	12	10	a	a	DET
ajst-32559	12	11	predictive	predictive	ADJ
ajst-32559	12	12	model	model	NOUN
ajst-32559	12	13	based	base	VERB
ajst-32559	12	14	on	on	ADP
ajst-32559	12	15	the	the	DET
ajst-32559	12	16	dataset	dataset	NOUN
ajst-32559	12	17	provided	provide	VERB
ajst-32559	12	18	.	.	PUNCT
ajst-32559	13	1	the	the	DET
ajst-32559	13	2	model	model	NOUN
ajst-32559	13	3	employed	employ	VERB
ajst-32559	13	4	hard	hard	ADJ
ajst-32559	13	5	voting	voting	NOUN
ajst-32559	13	6	,	,	PUNCT
ajst-32559	13	7	logistic	logistic	ADJ
ajst-32559	13	8	regression	regression	NOUN
ajst-32559	13	9	,	,	PUNCT
ajst-32559	13	10	decision	decision	NOUN
ajst-32559	13	11	trees	tree	NOUN
ajst-32559	13	12	,	,	PUNCT
ajst-32559	13	13	random	random	ADJ
ajst-32559	13	14	forest	forest	NOUN
ajst-32559	13	15	,	,	PUNCT
ajst-32559	13	16	support	support	VERB
ajst-32559	13	17	vector	vector	NOUN
ajst-32559	13	18	machines	machine	NOUN
ajst-32559	13	19	,	,	PUNCT
ajst-32559	13	20	and	and	CCONJ
ajst-32559	13	21	cox	cox	PROPN
ajst-32559	13	22	regression	regression	VERB
ajst-32559	13	23	to	to	PART
ajst-32559	13	24	estimate	estimate	VERB
ajst-32559	13	25	the	the	DET
ajst-32559	13	26	probability	probability	NOUN
ajst-32559	13	27	of	of	ADP
ajst-32559	13	28	survival	survival	NOUN
ajst-32559	13	29	for	for	ADP
ajst-32559	13	30	a	a	DET
ajst-32559	13	31	randomly	randomly	ADV
ajst-32559	13	32	selected	select	VERB
ajst-32559	13	33	group	group	NOUN
ajst-32559	13	34	of	of	ADP
ajst-32559	13	35	individuals	individual	NOUN
ajst-32559	13	36	involved	involve	VERB
ajst-32559	13	37	in	in	ADP
ajst-32559	13	38	the	the	DET
ajst-32559	13	39	tragedy	tragedy	NOUN
ajst-32559	13	40	.	.	PUNCT
ajst-32559	14	1	furthermore	furthermore	ADV
ajst-32559	14	2	,	,	PUNCT
ajst-32559	14	3	it	it	PRON
ajst-32559	14	4	aimed	aim	VERB
ajst-32559	14	5	to	to	PART
ajst-32559	14	6	investigate	investigate	VERB
ajst-32559	14	7	how	how	SCONJ
ajst-32559	14	8	multiple	multiple	ADJ
ajst-32559	14	9	factors	factor	NOUN
ajst-32559	14	10	influenced	influence	VERB
ajst-32559	14	11	the	the	DET
ajst-32559	14	12	likelihood	likelihood	NOUN
ajst-32559	14	13	of	of	ADP
ajst-32559	14	14	passenger	passenger	NOUN
ajst-32559	14	15	survival	survival	NOUN
ajst-32559	14	16	aboard	aboard	ADP
ajst-32559	14	17	the	the	DET
ajst-32559	14	18	titanic	titanic	ADJ
ajst-32559	14	19	.	.	PUNCT
ajst-32559	15	1	the	the	DET
ajst-32559	15	2	remaining	remain	VERB
ajst-32559	15	3	sections	section	NOUN
ajst-32559	15	4	of	of	ADP
ajst-32559	15	5	the	the	DET
ajst-32559	15	6	essay	essay	NOUN
ajst-32559	15	7	were	be	AUX
ajst-32559	15	8	outlined	outline	VERB
ajst-32559	15	9	as	as	SCONJ
ajst-32559	15	10	follows	follow	VERB
ajst-32559	15	11	.	.	PUNCT
ajst-32559	16	1	section	section	NOUN
ajst-32559	16	2	2	2	NUM
ajst-32559	16	3	addressed	address	VERB
ajst-32559	16	4	the	the	DET
ajst-32559	16	5	imputation	imputation	NOUN
ajst-32559	16	6	of	of	ADP
ajst-32559	16	7	missing	miss	VERB
ajst-32559	16	8	values	value	NOUN
ajst-32559	16	9	and	and	CCONJ
ajst-32559	16	10	the	the	DET
ajst-32559	16	11	creation	creation	NOUN
ajst-32559	16	12	of	of	ADP
ajst-32559	16	13	new	new	ADJ
ajst-32559	16	14	variables	variable	NOUN
ajst-32559	16	15	as	as	ADP
ajst-32559	16	16	more	more	ADV
ajst-32559	16	17	interpretable	interpretable	ADJ
ajst-32559	16	18	indicators	indicator	NOUN
ajst-32559	16	19	through	through	ADP
ajst-32559	16	20	feature	feature	NOUN
ajst-32559	16	21	engineering	engineering	NOUN
ajst-32559	16	22	,	,	PUNCT
ajst-32559	16	23	which	which	PRON
ajst-32559	16	24	facilitated	facilitate	VERB
ajst-32559	16	25	more	more	ADV
ajst-32559	16	26	accurate	accurate	ADJ
ajst-32559	16	27	prediction	prediction	NOUN
ajst-32559	16	28	.	.	PUNCT
ajst-32559	17	1	data	datum	NOUN
ajst-32559	17	2	visualization	visualization	NOUN
ajst-32559	17	3	was	be	AUX
ajst-32559	17	4	also	also	ADV
ajst-32559	17	5	conducted	conduct	VERB
ajst-32559	17	6	to	to	PART
ajst-32559	17	7	identify	identify	VERB
ajst-32559	17	8	relationships	relationship	NOUN
ajst-32559	17	9	between	between	ADP
ajst-32559	17	10	individual	individual	ADJ
ajst-32559	17	11	factors	factor	NOUN
ajst-32559	17	12	and	and	CCONJ
ajst-32559	17	13	survival	survival	NOUN
ajst-32559	17	14	rates	rate	NOUN
ajst-32559	17	15	.	.	PUNCT
ajst-32559	18	1	section	section	NOUN
ajst-32559	18	2	3	3	NUM
ajst-32559	18	3	presented	present	VERB
ajst-32559	18	4	the	the	DET
ajst-32559	18	5	assumptions	assumption	NOUN
ajst-32559	18	6	underlying	underlie	VERB
ajst-32559	18	7	the	the	DET
ajst-32559	18	8	models	model	NOUN
ajst-32559	18	9	and	and	CCONJ
ajst-32559	18	10	provided	provide	VERB
ajst-32559	18	11	a	a	DET
ajst-32559	18	12	brief	brief	ADJ
ajst-32559	18	13	overview	overview	NOUN
ajst-32559	18	14	of	of	ADP
ajst-32559	18	15	the	the	DET
ajst-32559	18	16	methodology	methodology	NOUN
ajst-32559	18	17	adopted	adopt	VERB
ajst-32559	18	18	in	in	ADP
ajst-32559	18	19	the	the	DET
ajst-32559	18	20	research	research	NOUN
ajst-32559	18	21	.	.	PUNCT
ajst-32559	19	1	section	section	NOUN
ajst-32559	19	2	4	4	NUM
ajst-32559	19	3	encompassed	encompass	VERB
ajst-32559	19	4	data	datum	NOUN
ajst-32559	19	5	filtering	filtering	NOUN
ajst-32559	19	6	,	,	PUNCT
ajst-32559	19	7	model	model	NOUN
ajst-32559	19	8	construction	construction	NOUN
ajst-32559	19	9	and	and	CCONJ
ajst-32559	19	10	optimization	optimization	NOUN
ajst-32559	19	11	,	,	PUNCT
ajst-32559	19	12	and	and	CCONJ
ajst-32559	19	13	the	the	DET
ajst-32559	19	14	presentation	presentation	NOUN
ajst-32559	19	15	of	of	ADP
ajst-32559	19	16	the	the	DET
ajst-32559	19	17	final	final	ADJ
ajst-32559	19	18	results	result	NOUN
ajst-32559	19	19	.	.	PUNCT
ajst-32559	20	1	144	144	NUM
ajst-32559	20	2	2	2	NUM
ajst-32559	20	3	.	.	X
ajst-32559	20	4	methodology	methodology	NOUN
ajst-32559	20	5	as	as	SCONJ
ajst-32559	20	6	shown	show	VERB
ajst-32559	20	7	in	in	ADP
ajst-32559	20	8	figure	figure	NOUN
ajst-32559	20	9	1	1	NUM
ajst-32559	20	10	,	,	PUNCT
ajst-32559	20	11	the	the	DET
ajst-32559	20	12	foundational	foundational	ADJ
ajst-32559	20	13	concept	concept	NOUN
ajst-32559	20	14	of	of	ADP
ajst-32559	20	15	our	our	PRON
ajst-32559	20	16	method	method	NOUN
ajst-32559	20	17	is	be	AUX
ajst-32559	20	18	to	to	PART
ajst-32559	20	19	build	build	VERB
ajst-32559	20	20	a	a	DET
ajst-32559	20	21	hard	hard	ADJ
ajst-32559	20	22	voting	voting	NOUN
ajst-32559	20	23	system	system	NOUN
ajst-32559	20	24	involving	involve	VERB
ajst-32559	20	25	logistic	logistic	ADJ
ajst-32559	20	26	regression	regression	NOUN
ajst-32559	20	27	model	model	NOUN
ajst-32559	20	28	,	,	PUNCT
ajst-32559	20	29	decision	decision	NOUN
ajst-32559	20	30	tree	tree	NOUN
ajst-32559	20	31	model	model	NOUN
ajst-32559	20	32	,	,	PUNCT
ajst-32559	20	33	random	random	ADJ
ajst-32559	20	34	forest	forest	NOUN
ajst-32559	20	35	,	,	PUNCT
ajst-32559	20	36	support	support	NOUN
ajst-32559	20	37	vector	vector	NOUN
ajst-32559	20	38	machine	machine	NOUN
ajst-32559	20	39	,	,	PUNCT
ajst-32559	20	40	and	and	CCONJ
ajst-32559	20	41	cox	cox	PROPN
ajst-32559	20	42	regression	regression	PROPN
ajst-32559	20	43	model	model	NOUN
ajst-32559	20	44	.	.	PUNCT
ajst-32559	21	1	we	we	PRON
ajst-32559	21	2	will	will	AUX
ajst-32559	21	3	first	first	ADV
ajst-32559	21	4	input	input	VERB
ajst-32559	21	5	training	training	NOUN
ajst-32559	21	6	data	datum	NOUN
ajst-32559	21	7	set	set	VERB
ajst-32559	21	8	to	to	ADP
ajst-32559	21	9	each	each	DET
ajst-32559	21	10	model	model	NOUN
ajst-32559	21	11	and	and	CCONJ
ajst-32559	21	12	allow	allow	VERB
ajst-32559	21	13	them	they	PRON
ajst-32559	21	14	to	to	PART
ajst-32559	21	15	carry	carry	VERB
ajst-32559	21	16	out	out	ADP
ajst-32559	21	17	individual	individual	ADJ
ajst-32559	21	18	prediction	prediction	NOUN
ajst-32559	21	19	of	of	ADP
ajst-32559	21	20	the	the	DET
ajst-32559	21	21	survival	survival	NOUN
ajst-32559	21	22	rate	rate	NOUN
ajst-32559	21	23	for	for	ADP
ajst-32559	21	24	a	a	DET
ajst-32559	21	25	particular	particular	ADJ
ajst-32559	21	26	passenger	passenger	NOUN
ajst-32559	21	27	.	.	PUNCT
ajst-32559	22	1	each	each	DET
ajst-32559	22	2	sub	sub	NOUN
ajst-32559	22	3	-	-	NOUN
ajst-32559	22	4	model	model	NOUN
ajst-32559	22	5	will	will	AUX
ajst-32559	22	6	have	have	VERB
ajst-32559	22	7	a	a	DET
ajst-32559	22	8	different	different	ADJ
ajst-32559	22	9	algorithm	algorithm	NOUN
ajst-32559	22	10	to	to	PART
ajst-32559	22	11	make	make	VERB
ajst-32559	22	12	predictions	prediction	NOUN
ajst-32559	22	13	.	.	PUNCT
ajst-32559	23	1	after	after	SCONJ
ajst-32559	23	2	this	this	DET
ajst-32559	23	3	process	process	NOUN
ajst-32559	23	4	is	be	AUX
ajst-32559	23	5	done	do	VERB
ajst-32559	23	6	,	,	PUNCT
ajst-32559	23	7	it	it	PRON
ajst-32559	23	8	will	will	AUX
ajst-32559	23	9	run	run	VERB
ajst-32559	23	10	through	through	ADP
ajst-32559	23	11	a	a	DET
ajst-32559	23	12	hard	hard	ADJ
ajst-32559	23	13	voting	voting	NOUN
ajst-32559	23	14	process	process	NOUN
ajst-32559	23	15	and	and	CCONJ
ajst-32559	23	16	eventually	eventually	ADV
ajst-32559	23	17	output	output	VERB
ajst-32559	23	18	the	the	DET
ajst-32559	23	19	final	final	ADJ
ajst-32559	23	20	prediction	prediction	NOUN
ajst-32559	23	21	.	.	PUNCT
ajst-32559	24	1	figure	figure	NOUN
ajst-32559	24	2	1	1	NUM
ajst-32559	24	3	.	.	PUNCT
ajst-32559	25	1	processing	processing	NOUN
ajst-32559	25	2	of	of	ADP
ajst-32559	25	3	building	building	NOUN
ajst-32559	25	4	model	model	NOUN
ajst-32559	25	5	2.1	2.1	NUM
ajst-32559	25	6	hypothesis	hypothesis	NOUN
ajst-32559	25	7	assumption	assumption	NOUN
ajst-32559	25	8	1	1	NUM
ajst-32559	25	9	:	:	PUNCT
ajst-32559	25	10	each	each	DET
ajst-32559	25	11	data	datum	NOUN
ajst-32559	25	12	point	point	NOUN
ajst-32559	25	13	is	be	AUX
ajst-32559	25	14	independent	independent	ADJ
ajst-32559	25	15	from	from	ADP
ajst-32559	25	16	each	each	DET
ajst-32559	25	17	other	other	ADJ
ajst-32559	25	18	.	.	PUNCT
ajst-32559	26	1	independence	independence	NOUN
ajst-32559	26	2	means	mean	VERB
ajst-32559	26	3	that	that	SCONJ
ajst-32559	26	4	there	there	PRON
ajst-32559	26	5	is	be	VERB
ajst-32559	26	6	no	no	DET
ajst-32559	26	7	hidden	hide	VERB
ajst-32559	26	8	relationship	relationship	NOUN
ajst-32559	26	9	and	and	CCONJ
ajst-32559	26	10	patterns	pattern	NOUN
ajst-32559	26	11	between	between	ADP
ajst-32559	26	12	each	each	DET
ajst-32559	26	13	variable	variable	NOUN
ajst-32559	26	14	that	that	PRON
ajst-32559	26	15	could	could	AUX
ajst-32559	26	16	skew	skew	VERB
ajst-32559	26	17	the	the	DET
ajst-32559	26	18	analysis	analysis	NOUN
ajst-32559	26	19	or	or	CCONJ
ajst-32559	26	20	lead	lead	VERB
ajst-32559	26	21	to	to	ADP
ajst-32559	26	22	over	over	ADP
ajst-32559	26	23	-	-	PUNCT
ajst-32559	26	24	estimation	estimation	NOUN
ajst-32559	26	25	;	;	PUNCT
ajst-32559	26	26	it	it	PRON
ajst-32559	26	27	also	also	ADV
ajst-32559	26	28	prevents	prevent	VERB
ajst-32559	26	29	the	the	DET
ajst-32559	26	30	model	model	NOUN
ajst-32559	26	31	from	from	ADP
ajst-32559	26	32	memorizing	memorize	VERB
ajst-32559	26	33	instead	instead	ADV
ajst-32559	26	34	of	of	ADP
ajst-32559	26	35	generalizing	generalize	VERB
ajst-32559	26	36	during	during	ADP
ajst-32559	26	37	predictions	prediction	NOUN
ajst-32559	26	38	.	.	PUNCT
ajst-32559	27	1	we	we	PRON
ajst-32559	27	2	conducted	conduct	VERB
ajst-32559	27	3	a	a	DET
ajst-32559	27	4	chi	chi	ADJ
ajst-32559	27	5	-	-	PUNCT
ajst-32559	27	6	square	square	ADJ
ajst-32559	27	7	test	test	NOUN
ajst-32559	27	8	to	to	PART
ajst-32559	27	9	see	see	VERB
ajst-32559	27	10	whether	whether	SCONJ
ajst-32559	27	11	the	the	DET
ajst-32559	27	12	variables	variable	NOUN
ajst-32559	27	13	in	in	ADP
ajst-32559	27	14	the	the	DET
ajst-32559	27	15	dataset	dataset	NOUN
ajst-32559	27	16	are	be	AUX
ajst-32559	27	17	related	relate	VERB
ajst-32559	27	18	.	.	PUNCT
ajst-32559	28	1	some	some	PRON
ajst-32559	28	2	of	of	ADP
ajst-32559	28	3	the	the	DET
ajst-32559	28	4	p	p	NOUN
ajst-32559	28	5	-	-	PUNCT
ajst-32559	28	6	values	value	NOUN
ajst-32559	28	7	are	be	AUX
ajst-32559	28	8	smaller	small	ADJ
ajst-32559	28	9	than	than	ADP
ajst-32559	28	10	0.05	0.05	NUM
ajst-32559	28	11	,	,	PUNCT
ajst-32559	28	12	which	which	PRON
ajst-32559	28	13	indicates	indicate	VERB
ajst-32559	28	14	that	that	SCONJ
ajst-32559	28	15	there	there	PRON
ajst-32559	28	16	are	be	VERB
ajst-32559	28	17	associations	association	NOUN
ajst-32559	28	18	between	between	ADP
ajst-32559	28	19	the	the	DET
ajst-32559	28	20	corresponding	corresponding	ADJ
ajst-32559	28	21	variables	variable	NOUN
ajst-32559	28	22	.	.	PUNCT
ajst-32559	29	1	this	this	PRON
ajst-32559	29	2	is	be	AUX
ajst-32559	29	3	potentially	potentially	ADV
ajst-32559	29	4	because	because	SCONJ
ajst-32559	29	5	those	those	PRON
ajst-32559	29	6	with	with	ADP
ajst-32559	29	7	high	high	ADJ
ajst-32559	29	8	p	p	NOUN
ajst-32559	29	9	-	-	PUNCT
ajst-32559	29	10	values	value	NOUN
ajst-32559	29	11	are	be	AUX
ajst-32559	29	12	indicating	indicate	VERB
ajst-32559	29	13	similar	similar	ADJ
ajst-32559	29	14	information	information	NOUN
ajst-32559	29	15	.	.	PUNCT
ajst-32559	30	1	for	for	ADP
ajst-32559	30	2	example	example	NOUN
ajst-32559	30	3	,	,	PUNCT
ajst-32559	30	4	pclass	pclass	NOUN
ajst-32559	30	5	and	and	CCONJ
ajst-32559	30	6	fare	fare	VERB
ajst-32559	30	7	both	both	PRON
ajst-32559	30	8	represent	represent	VERB
ajst-32559	30	9	the	the	DET
ajst-32559	30	10	social	social	ADJ
ajst-32559	30	11	status	status	NOUN
ajst-32559	30	12	of	of	ADP
ajst-32559	30	13	passengers	passenger	NOUN
ajst-32559	30	14	.	.	PUNCT
ajst-32559	31	1	assumption	assumption	NOUN
ajst-32559	31	2	2	2	NUM
ajst-32559	31	3	:	:	PUNCT
ajst-32559	31	4	there	there	PRON
ajst-32559	31	5	is	be	VERB
ajst-32559	31	6	no	no	DET
ajst-32559	31	7	multicollinearity	multicollinearity	NOUN
ajst-32559	31	8	among	among	ADP
ajst-32559	31	9	explanatory	explanatory	ADJ
ajst-32559	31	10	variables	variable	NOUN
ajst-32559	31	11	.	.	PUNCT
ajst-32559	32	1	this	this	PRON
ajst-32559	32	2	is	be	AUX
ajst-32559	32	3	particularly	particularly	ADV
ajst-32559	32	4	essential	essential	ADJ
ajst-32559	32	5	for	for	ADP
ajst-32559	32	6	logistic	logistic	ADJ
ajst-32559	32	7	regression	regression	NOUN
ajst-32559	32	8	and	and	CCONJ
ajst-32559	32	9	cox	cox	PROPN
ajst-32559	32	10	regression	regression	NOUN
ajst-32559	32	11	.	.	PUNCT
ajst-32559	33	1	logistic	logistic	ADJ
ajst-32559	33	2	regression	regression	NOUN
ajst-32559	33	3	estimates	estimate	VERB
ajst-32559	33	4	the	the	DET
ajst-32559	33	5	effect	effect	NOUN
ajst-32559	33	6	of	of	ADP
ajst-32559	33	7	each	each	DET
ajst-32559	33	8	predictor	predictor	NOUN
ajst-32559	33	9	on	on	ADP
ajst-32559	33	10	the	the	DET
ajst-32559	33	11	log	log	NOUN
ajst-32559	33	12	odds	odd	NOUN
ajst-32559	33	13	of	of	ADP
ajst-32559	33	14	the	the	DET
ajst-32559	33	15	outcome	outcome	NOUN
ajst-32559	33	16	,	,	PUNCT
ajst-32559	33	17	while	while	SCONJ
ajst-32559	33	18	cox	cox	PROPN
ajst-32559	33	19	regression	regression	NOUN
ajst-32559	33	20	investigates	investigate	VERB
ajst-32559	33	21	how	how	SCONJ
ajst-32559	33	22	predictors	predictor	NOUN
ajst-32559	33	23	affect	affect	VERB
ajst-32559	33	24	the	the	DET
ajst-32559	33	25	hazard	hazard	NOUN
ajst-32559	33	26	rate	rate	NOUN
ajst-32559	33	27	over	over	ADP
ajst-32559	33	28	time	time	NOUN
ajst-32559	33	29	.	.	PUNCT
ajst-32559	34	1	when	when	SCONJ
ajst-32559	34	2	variables	variable	NOUN
ajst-32559	34	3	are	be	AUX
ajst-32559	34	4	highly	highly	ADV
ajst-32559	34	5	correlated	correlate	VERB
ajst-32559	34	6	,	,	PUNCT
ajst-32559	34	7	the	the	DET
ajst-32559	34	8	model	model	NOUN
ajst-32559	34	9	might	might	AUX
ajst-32559	34	10	struggle	struggle	VERB
ajst-32559	34	11	to	to	PART
ajst-32559	34	12	distinguish	distinguish	VERB
ajst-32559	34	13	the	the	DET
ajst-32559	34	14	individual	individual	ADJ
ajst-32559	34	15	effects	effect	NOUN
ajst-32559	34	16	clearly	clearly	ADV
ajst-32559	34	17	,	,	PUNCT
ajst-32559	34	18	which	which	PRON
ajst-32559	34	19	could	could	AUX
ajst-32559	34	20	lead	lead	VERB
ajst-32559	34	21	to	to	ADP
ajst-32559	34	22	misleading	misleading	ADJ
ajst-32559	34	23	and	and	CCONJ
ajst-32559	34	24	unreliable	unreliable	ADJ
ajst-32559	34	25	145	145	NUM
ajst-32559	34	26	results	result	NOUN
ajst-32559	34	27	.	.	PUNCT
ajst-32559	35	1	in	in	ADP
ajst-32559	35	2	contrast	contrast	NOUN
ajst-32559	35	3	,	,	PUNCT
ajst-32559	35	4	tree	tree	NOUN
ajst-32559	35	5	-	-	PUNCT
ajst-32559	35	6	based	base	VERB
ajst-32559	35	7	models	model	NOUN
ajst-32559	35	8	such	such	ADJ
ajst-32559	35	9	as	as	ADP
ajst-32559	35	10	decision	decision	NOUN
ajst-32559	35	11	trees	tree	NOUN
ajst-32559	35	12	and	and	CCONJ
ajst-32559	35	13	random	random	ADJ
ajst-32559	35	14	forest	forest	NOUN
ajst-32559	35	15	naturally	naturally	ADV
ajst-32559	35	16	handle	handle	AUX
ajst-32559	35	17	correlated	correlate	VERB
ajst-32559	35	18	features	feature	NOUN
ajst-32559	35	19	by	by	ADP
ajst-32559	35	20	splitting	split	VERB
ajst-32559	35	21	on	on	ADP
ajst-32559	35	22	one	one	NUM
ajst-32559	35	23	and	and	CCONJ
ajst-32559	35	24	ignoring	ignore	VERB
ajst-32559	35	25	the	the	DET
ajst-32559	35	26	rest	rest	NOUN
ajst-32559	35	27	,	,	PUNCT
ajst-32559	35	28	so	so	SCONJ
ajst-32559	35	29	they	they	PRON
ajst-32559	35	30	are	be	AUX
ajst-32559	35	31	not	not	PART
ajst-32559	35	32	significantly	significantly	ADV
ajst-32559	35	33	influenced	influence	VERB
ajst-32559	35	34	by	by	ADP
ajst-32559	35	35	multicollinearity	multicollinearity	NOUN
ajst-32559	35	36	.	.	PUNCT
ajst-32559	36	1	assumption	assumption	NOUN
ajst-32559	36	2	3	3	NUM
ajst-32559	36	3	:	:	PUNCT
ajst-32559	36	4	explanatory	explanatory	ADJ
ajst-32559	36	5	variables	variable	NOUN
ajst-32559	36	6	and	and	CCONJ
ajst-32559	36	7	log	log	VERB
ajst-32559	36	8	odds	odd	NOUN
ajst-32559	36	9	of	of	ADP
ajst-32559	36	10	response	response	NOUN
ajst-32559	36	11	variables	variable	NOUN
ajst-32559	36	12	have	have	VERB
ajst-32559	36	13	linear	linear	ADJ
ajst-32559	36	14	relationships	relationship	NOUN
ajst-32559	36	15	.	.	PUNCT
ajst-32559	37	1	(	(	PUNCT
ajst-32559	37	2	typically	typically	ADV
ajst-32559	37	3	in	in	ADP
ajst-32559	37	4	logistic	logistic	NOUN
ajst-32559	37	5	and	and	CCONJ
ajst-32559	37	6	cox	cox	PROPN
ajst-32559	37	7	regression	regression	PROPN
ajst-32559	37	8	)	)	PUNCT
ajst-32559	37	9	assumption	assumption	NOUN
ajst-32559	37	10	4	4	NUM
ajst-32559	37	11	:	:	PUNCT
ajst-32559	37	12	sample	sample	NOUN
ajst-32559	37	13	size	size	NOUN
ajst-32559	37	14	of	of	ADP
ajst-32559	37	15	the	the	DET
ajst-32559	37	16	data	data	NOUN
ajst-32559	37	17	is	be	AUX
ajst-32559	37	18	sufficient	sufficient	ADJ
ajst-32559	37	19	for	for	ADP
ajst-32559	37	20	models	model	NOUN
ajst-32559	37	21	including	include	VERB
ajst-32559	37	22	logistic	logistic	PROPN
ajst-32559	37	23	&	&	CCONJ
ajst-32559	37	24	cox	cox	PROPN
ajst-32559	37	25	regression	regression	PROPN
ajst-32559	37	26	and	and	CCONJ
ajst-32559	37	27	random	random	ADJ
ajst-32559	37	28	forest	forest	NOUN
ajst-32559	37	29	to	to	PART
ajst-32559	37	30	stabilize	stabilize	VERB
ajst-32559	37	31	the	the	DET
ajst-32559	37	32	results	result	NOUN
ajst-32559	37	33	.	.	PUNCT
ajst-32559	38	1	2.2	2.2	NUM
ajst-32559	38	2	logistic	logistic	ADJ
ajst-32559	38	3	regression	regression	NOUN
ajst-32559	38	4	logistic	logistic	ADJ
ajst-32559	38	5	regression	regression	NOUN
ajst-32559	38	6	is	be	AUX
ajst-32559	38	7	a	a	DET
ajst-32559	38	8	statistical	statistical	ADJ
ajst-32559	38	9	model	model	NOUN
ajst-32559	38	10	used	use	VERB
ajst-32559	38	11	for	for	ADP
ajst-32559	38	12	binary	binary	ADJ
ajst-32559	38	13	classification	classification	NOUN
ajst-32559	38	14	to	to	PART
ajst-32559	38	15	make	make	VERB
ajst-32559	38	16	predictions	prediction	NOUN
ajst-32559	38	17	and	and	CCONJ
ajst-32559	38	18	output	output	NOUN
ajst-32559	38	19	probabilities	probability	NOUN
ajst-32559	38	20	between	between	ADP
ajst-32559	38	21	0	0	NUM
ajst-32559	38	22	and	and	CCONJ
ajst-32559	38	23	1	1	NUM
ajst-32559	38	24	based	base	VERB
ajst-32559	38	25	on	on	ADP
ajst-32559	38	26	the	the	DET
ajst-32559	38	27	relationship	relationship	NOUN
ajst-32559	38	28	between	between	ADP
ajst-32559	38	29	two	two	NUM
ajst-32559	38	30	or	or	CCONJ
ajst-32559	38	31	more	more	ADJ
ajst-32559	38	32	input	input	NOUN
ajst-32559	38	33	variables	variable	NOUN
ajst-32559	38	34	.	.	PUNCT
ajst-32559	39	1	in	in	ADP
ajst-32559	39	2	this	this	DET
ajst-32559	39	3	case	case	NOUN
ajst-32559	39	4	we	we	PRON
ajst-32559	39	5	apply	apply	VERB
ajst-32559	39	6	the	the	DET
ajst-32559	39	7	model	model	NOUN
ajst-32559	39	8	first	first	ADV
ajst-32559	39	9	to	to	ADP
ajst-32559	39	10	the	the	DET
ajst-32559	39	11	“	"	PUNCT
ajst-32559	39	12	train	train	NOUN
ajst-32559	39	13	”	"	PUNCT
ajst-32559	39	14	dataset	dataset	NOUN
ajst-32559	39	15	and	and	CCONJ
ajst-32559	39	16	make	make	VERB
ajst-32559	39	17	predictions	prediction	NOUN
ajst-32559	39	18	of	of	ADP
ajst-32559	39	19	the	the	DET
ajst-32559	39	20	survival	survival	NOUN
ajst-32559	39	21	rate	rate	NOUN
ajst-32559	39	22	of	of	ADP
ajst-32559	39	23	passengers	passenger	NOUN
ajst-32559	39	24	in	in	ADP
ajst-32559	39	25	the	the	DET
ajst-32559	39	26	“	"	PUNCT
ajst-32559	39	27	test	test	NOUN
ajst-32559	39	28	”	"	PUNCT
ajst-32559	39	29	dataset	dataset	NOUN
ajst-32559	39	30	based	base	VERB
ajst-32559	39	31	on	on	ADP
ajst-32559	39	32	the	the	DET
ajst-32559	39	33	patterns	pattern	NOUN
ajst-32559	39	34	learned	learn	VERB
ajst-32559	39	35	before	before	ADV
ajst-32559	39	36	.	.	PUNCT
ajst-32559	40	1	2.3	2.3	NUM
ajst-32559	40	2	decision	decision	NOUN
ajst-32559	40	3	tree	tree	NOUN
ajst-32559	40	4	decision	decision	NOUN
ajst-32559	40	5	tree	tree	NOUN
ajst-32559	40	6	is	be	AUX
ajst-32559	40	7	a	a	DET
ajst-32559	40	8	flowchart	flowchart	NOUN
ajst-32559	40	9	-	-	PUNCT
ajst-32559	40	10	like	like	ADJ
ajst-32559	40	11	machine	machine	NOUN
ajst-32559	40	12	learning	learning	NOUN
ajst-32559	40	13	model	model	NOUN
ajst-32559	40	14	that	that	PRON
ajst-32559	40	15	works	work	VERB
ajst-32559	40	16	by	by	ADP
ajst-32559	40	17	splitting	split	VERB
ajst-32559	40	18	data	datum	NOUN
ajst-32559	40	19	into	into	ADP
ajst-32559	40	20	branches	branch	NOUN
ajst-32559	40	21	based	base	VERB
ajst-32559	40	22	on	on	ADP
ajst-32559	40	23	feature	feature	NOUN
ajst-32559	40	24	values	value	NOUN
ajst-32559	40	25	and	and	CCONJ
ajst-32559	40	26	ultimately	ultimately	ADV
ajst-32559	40	27	provides	provide	VERB
ajst-32559	40	28	results	result	NOUN
ajst-32559	40	29	at	at	ADP
ajst-32559	40	30	the	the	DET
ajst-32559	40	31	leaf	leaf	NOUN
ajst-32559	40	32	nodes	node	NOUN
ajst-32559	40	33	.	.	PUNCT
ajst-32559	41	1	we	we	PRON
ajst-32559	41	2	used	use	VERB
ajst-32559	41	3	decision	decision	NOUN
ajst-32559	41	4	trees	tree	NOUN
ajst-32559	41	5	for	for	ADP
ajst-32559	41	6	our	our	PRON
ajst-32559	41	7	prediction	prediction	NOUN
ajst-32559	41	8	by	by	ADP
ajst-32559	41	9	choosing	choose	VERB
ajst-32559	41	10	different	different	ADJ
ajst-32559	41	11	variables	variable	NOUN
ajst-32559	41	12	as	as	ADP
ajst-32559	41	13	separate	separate	ADJ
ajst-32559	41	14	criteria	criterion	NOUN
ajst-32559	41	15	and	and	CCONJ
ajst-32559	41	16	placing	place	VERB
ajst-32559	41	17	them	they	PRON
ajst-32559	41	18	in	in	ADP
ajst-32559	41	19	the	the	DET
ajst-32559	41	20	internal	internal	ADJ
ajst-32559	41	21	nodes	node	NOUN
ajst-32559	41	22	of	of	ADP
ajst-32559	41	23	the	the	DET
ajst-32559	41	24	flowchart	flowchart	NOUN
ajst-32559	41	25	.	.	PUNCT
ajst-32559	42	1	classification	classification	NOUN
ajst-32559	42	2	tree	tree	NOUN
ajst-32559	42	3	rather	rather	ADV
ajst-32559	42	4	than	than	ADP
ajst-32559	42	5	regression	regression	VERB
ajst-32559	42	6	tree	tree	NOUN
ajst-32559	42	7	was	be	AUX
ajst-32559	42	8	chosen	choose	VERB
ajst-32559	42	9	,	,	PUNCT
ajst-32559	42	10	as	as	SCONJ
ajst-32559	42	11	the	the	DET
ajst-32559	42	12	dependent	dependent	ADJ
ajst-32559	42	13	variable	variable	NOUN
ajst-32559	42	14	is	be	AUX
ajst-32559	42	15	categorical	categorical	ADJ
ajst-32559	42	16	.	.	PUNCT
ajst-32559	43	1	2.4	2.4	NUM
ajst-32559	43	2	random	random	ADJ
ajst-32559	43	3	forest	forest	NOUN
ajst-32559	43	4	random	random	ADJ
ajst-32559	43	5	forest	forest	NOUN
ajst-32559	43	6	is	be	AUX
ajst-32559	43	7	an	an	DET
ajst-32559	43	8	ensemble	ensemble	ADJ
ajst-32559	43	9	machine	machine	NOUN
ajst-32559	43	10	learning	learning	NOUN
ajst-32559	43	11	model	model	NOUN
ajst-32559	43	12	that	that	PRON
ajst-32559	43	13	builds	build	VERB
ajst-32559	43	14	multiple	multiple	ADJ
ajst-32559	43	15	decision	decision	NOUN
ajst-32559	43	16	trees	tree	NOUN
ajst-32559	43	17	and	and	CCONJ
ajst-32559	43	18	combines	combine	VERB
ajst-32559	43	19	their	their	PRON
ajst-32559	43	20	output	output	NOUN
ajst-32559	43	21	.	.	PUNCT
ajst-32559	44	1	each	each	DET
ajst-32559	44	2	tree	tree	NOUN
ajst-32559	44	3	is	be	AUX
ajst-32559	44	4	trained	train	VERB
ajst-32559	44	5	on	on	ADP
ajst-32559	44	6	a	a	DET
ajst-32559	44	7	random	random	ADJ
ajst-32559	44	8	subset	subset	NOUN
ajst-32559	44	9	of	of	ADP
ajst-32559	44	10	the	the	DET
ajst-32559	44	11	data	datum	NOUN
ajst-32559	44	12	and	and	CCONJ
ajst-32559	44	13	features	feature	NOUN
ajst-32559	44	14	,	,	PUNCT
ajst-32559	44	15	and	and	CCONJ
ajst-32559	44	16	the	the	DET
ajst-32559	44	17	final	final	ADJ
ajst-32559	44	18	prediction	prediction	NOUN
ajst-32559	44	19	is	be	AUX
ajst-32559	44	20	made	make	VERB
ajst-32559	44	21	by	by	ADP
ajst-32559	44	22	majority	majority	NOUN
ajst-32559	44	23	voting	voting	NOUN
ajst-32559	44	24	,	,	PUNCT
ajst-32559	44	25	that	that	ADV
ajst-32559	44	26	is	is	ADV
ajst-32559	44	27	,	,	PUNCT
ajst-32559	44	28	retaining	retain	VERB
ajst-32559	44	29	the	the	DET
ajst-32559	44	30	class	class	NOUN
ajst-32559	44	31	selected	select	VERB
ajst-32559	44	32	by	by	ADP
ajst-32559	44	33	most	most	ADJ
ajst-32559	44	34	trees	tree	NOUN
ajst-32559	44	35	.	.	PUNCT
ajst-32559	45	1	compared	compare	VERB
ajst-32559	45	2	to	to	ADP
ajst-32559	45	3	decision	decision	NOUN
ajst-32559	45	4	trees	tree	NOUN
ajst-32559	45	5	,	,	PUNCT
ajst-32559	45	6	random	random	ADJ
ajst-32559	45	7	forest	forest	NOUN
ajst-32559	45	8	offers	offer	VERB
ajst-32559	45	9	higher	high	ADJ
ajst-32559	45	10	accuracy	accuracy	NOUN
ajst-32559	45	11	&	&	CCONJ
ajst-32559	45	12	stability	stability	NOUN
ajst-32559	45	13	and	and	CCONJ
ajst-32559	45	14	reduces	reduce	VERB
ajst-32559	45	15	overfitting	overfitte	VERB
ajst-32559	45	16	via	via	ADP
ajst-32559	45	17	averaging	average	VERB
ajst-32559	45	18	despite	despite	SCONJ
ajst-32559	45	19	lower	low	ADJ
ajst-32559	45	20	interpretability	interpretability	NOUN
ajst-32559	45	21	due	due	ADP
ajst-32559	45	22	to	to	ADP
ajst-32559	45	23	many	many	ADJ
ajst-32559	45	24	trees	tree	NOUN
ajst-32559	45	25	.	.	PUNCT
ajst-32559	46	1	2.5	2.5	NUM
ajst-32559	46	2	support	support	NOUN
ajst-32559	46	3	vector	vector	NOUN
ajst-32559	46	4	machine	machine	NOUN
ajst-32559	46	5	support	support	NOUN
ajst-32559	46	6	vector	vector	NOUN
ajst-32559	46	7	machine	machine	NOUN
ajst-32559	46	8	(	(	PUNCT
ajst-32559	46	9	svm	svm	PROPN
ajst-32559	46	10	)	)	PUNCT
ajst-32559	46	11	is	be	AUX
ajst-32559	46	12	a	a	DET
ajst-32559	46	13	type	type	NOUN
ajst-32559	46	14	of	of	ADP
ajst-32559	46	15	algorithm	algorithm	NOUN
ajst-32559	46	16	that	that	PRON
ajst-32559	46	17	is	be	AUX
ajst-32559	46	18	commonly	commonly	ADV
ajst-32559	46	19	used	use	VERB
ajst-32559	46	20	in	in	ADP
ajst-32559	46	21	classification	classification	NOUN
ajst-32559	46	22	and	and	CCONJ
ajst-32559	46	23	regression	regression	NOUN
ajst-32559	46	24	tasks	task	NOUN
ajst-32559	46	25	.	.	PUNCT
ajst-32559	47	1	this	this	DET
ajst-32559	47	2	model	model	NOUN
ajst-32559	47	3	seeks	seek	VERB
ajst-32559	47	4	to	to	PART
ajst-32559	47	5	find	find	VERB
ajst-32559	47	6	a	a	DET
ajst-32559	47	7	boundary	boundary	NOUN
ajst-32559	47	8	known	know	VERB
ajst-32559	47	9	as	as	ADP
ajst-32559	47	10	“	"	PUNCT
ajst-32559	47	11	hyperplane	hyperplane	NOUN
ajst-32559	47	12	”	"	PUNCT
ajst-32559	47	13	that	that	PRON
ajst-32559	47	14	best	good	ADJ
ajst-32559	47	15	divides	divide	VERB
ajst-32559	47	16	two	two	NUM
ajst-32559	47	17	classes	class	NOUN
ajst-32559	47	18	from	from	ADP
ajst-32559	47	19	each	each	DET
ajst-32559	47	20	other	other	ADJ
ajst-32559	47	21	,	,	PUNCT
ajst-32559	47	22	and	and	CCONJ
ajst-32559	47	23	new	new	ADJ
ajst-32559	47	24	inputs	input	NOUN
ajst-32559	47	25	are	be	AUX
ajst-32559	47	26	classified	classify	VERB
ajst-32559	47	27	based	base	VERB
ajst-32559	47	28	on	on	ADP
ajst-32559	47	29	their	their	PRON
ajst-32559	47	30	position	position	NOUN
ajst-32559	47	31	in	in	ADP
ajst-32559	47	32	comparison	comparison	NOUN
ajst-32559	47	33	with	with	ADP
ajst-32559	47	34	the	the	DET
ajst-32559	47	35	hyperplane	hyperplane	NOUN
ajst-32559	47	36	[	[	X
ajst-32559	47	37	2	2	NUM
ajst-32559	47	38	]	]	PUNCT
ajst-32559	47	39	.	.	PUNCT
ajst-32559	48	1	2.6	2.6	NUM
ajst-32559	48	2	cox	cox	PROPN
ajst-32559	48	3	regression	regression	PROPN
ajst-32559	48	4	cox	cox	PROPN
ajst-32559	48	5	regression	regression	PROPN
ajst-32559	48	6	is	be	AUX
ajst-32559	48	7	a	a	DET
ajst-32559	48	8	type	type	NOUN
ajst-32559	48	9	of	of	ADP
ajst-32559	48	10	model	model	NOUN
ajst-32559	48	11	used	use	VERB
ajst-32559	48	12	in	in	ADP
ajst-32559	48	13	survival	survival	NOUN
ajst-32559	48	14	analysis	analysis	NOUN
ajst-32559	48	15	.	.	PUNCT
ajst-32559	49	1	this	this	DET
ajst-32559	49	2	model	model	NOUN
ajst-32559	49	3	predicts	predict	VERB
ajst-32559	49	4	the	the	DET
ajst-32559	49	5	hazard	hazard	NOUN
ajst-32559	49	6	ratio	ratio	NOUN
ajst-32559	49	7	(	(	PUNCT
ajst-32559	49	8	hr	hr	NOUN
ajst-32559	49	9	)	)	PUNCT
ajst-32559	49	10	that	that	PRON
ajst-32559	49	11	is	be	AUX
ajst-32559	49	12	linked	link	VERB
ajst-32559	49	13	with	with	ADP
ajst-32559	49	14	risk	risk	NOUN
ajst-32559	49	15	factors	factor	NOUN
ajst-32559	49	16	and	and	CCONJ
ajst-32559	49	17	the	the	DET
ajst-32559	49	18	passage	passage	NOUN
ajst-32559	49	19	of	of	ADP
ajst-32559	49	20	time	time	NOUN
ajst-32559	49	21	[	[	X
ajst-32559	49	22	3	3	NUM
ajst-32559	49	23	]	]	PUNCT
ajst-32559	49	24	.	.	PUNCT
ajst-32559	50	1	we	we	PRON
ajst-32559	50	2	implemented	implement	VERB
ajst-32559	50	3	this	this	DET
ajst-32559	50	4	model	model	NOUN
ajst-32559	50	5	in	in	ADP
ajst-32559	50	6	our	our	PRON
ajst-32559	50	7	research	research	NOUN
ajst-32559	50	8	to	to	PART
ajst-32559	50	9	predict	predict	VERB
ajst-32559	50	10	the	the	DET
ajst-32559	50	11	survival	survival	NOUN
ajst-32559	50	12	possibilities	possibility	NOUN
ajst-32559	50	13	of	of	ADP
ajst-32559	50	14	passengers	passenger	NOUN
ajst-32559	50	15	over	over	ADP
ajst-32559	50	16	time	time	NOUN
ajst-32559	50	17	(	(	PUNCT
ajst-32559	50	18	figure	figure	NOUN
ajst-32559	50	19	)	)	PUNCT
ajst-32559	50	20	and	and	CCONJ
ajst-32559	50	21	the	the	DET
ajst-32559	50	22	hr	hr	NOUN
ajst-32559	50	23	of	of	ADP
ajst-32559	50	24	the	the	DET
ajst-32559	50	25	passengers	passenger	NOUN
ajst-32559	50	26	.	.	PUNCT
ajst-32559	51	1	2.7	2.7	NUM
ajst-32559	51	2	hard	hard	ADJ
ajst-32559	51	3	voting	voting	NOUN
ajst-32559	51	4	for	for	ADP
ajst-32559	51	5	hard	hard	ADJ
ajst-32559	51	6	voting	voting	NOUN
ajst-32559	51	7	,	,	PUNCT
ajst-32559	51	8	each	each	DET
ajst-32559	51	9	individual	individual	ADJ
ajst-32559	51	10	model	model	NOUN
ajst-32559	51	11	will	will	AUX
ajst-32559	51	12	make	make	VERB
ajst-32559	51	13	their	their	PRON
ajst-32559	51	14	prediction	prediction	NOUN
ajst-32559	51	15	,	,	PUNCT
ajst-32559	51	16	which	which	PRON
ajst-32559	51	17	counts	count	VERB
ajst-32559	51	18	as	as	ADP
ajst-32559	51	19	one	one	NUM
ajst-32559	51	20	“	"	PUNCT
ajst-32559	51	21	vote	vote	NOUN
ajst-32559	51	22	”	"	PUNCT
ajst-32559	51	23	.	.	PUNCT
ajst-32559	52	1	in	in	ADP
ajst-32559	52	2	this	this	DET
ajst-32559	52	3	case	case	NOUN
ajst-32559	52	4	,	,	PUNCT
ajst-32559	52	5	each	each	DET
ajst-32559	52	6	model	model	NOUN
ajst-32559	52	7	takes	take	VERB
ajst-32559	52	8	in	in	ADP
ajst-32559	52	9	certain	certain	ADJ
ajst-32559	52	10	variables	variable	NOUN
ajst-32559	52	11	from	from	ADP
ajst-32559	52	12	testing	test	VERB
ajst-32559	52	13	data	datum	NOUN
ajst-32559	52	14	and	and	CCONJ
ajst-32559	52	15	predict	predict	VERB
ajst-32559	52	16	whether	whether	SCONJ
ajst-32559	52	17	a	a	DET
ajst-32559	52	18	particular	particular	ADJ
ajst-32559	52	19	passenger	passenger	NOUN
ajst-32559	52	20	will	will	AUX
ajst-32559	52	21	die	die	VERB
ajst-32559	52	22	or	or	CCONJ
ajst-32559	52	23	not	not	PART
ajst-32559	52	24	(	(	PUNCT
ajst-32559	52	25	0	0	NUM
ajst-32559	52	26	for	for	SCONJ
ajst-32559	52	27	died	die	VERB
ajst-32559	52	28	,	,	PUNCT
ajst-32559	52	29	1	1	NUM
ajst-32559	52	30	for	for	ADP
ajst-32559	52	31	survived	survive	VERB
ajst-32559	52	32	)	)	PUNCT
ajst-32559	52	33	.	.	PUNCT
ajst-32559	53	1	if	if	SCONJ
ajst-32559	53	2	the	the	DET
ajst-32559	53	3	number	number	NOUN
ajst-32559	53	4	of	of	ADP
ajst-32559	53	5	1s	1s	NUM
ajst-32559	53	6	is	be	AUX
ajst-32559	53	7	larger	large	ADJ
ajst-32559	53	8	than	than	ADP
ajst-32559	53	9	the	the	DET
ajst-32559	53	10	number	number	NOUN
ajst-32559	53	11	of	of	ADP
ajst-32559	53	12	0s	0s	NOUN
ajst-32559	53	13	,	,	PUNCT
ajst-32559	53	14	the	the	DET
ajst-32559	53	15	passenger	passenger	NOUN
ajst-32559	53	16	will	will	AUX
ajst-32559	53	17	eventually	eventually	ADV
ajst-32559	53	18	be	be	AUX
ajst-32559	53	19	counted	count	VERB
ajst-32559	53	20	as	as	SCONJ
ajst-32559	53	21	survived	survive	VERB
ajst-32559	53	22	.	.	PUNCT
ajst-32559	54	1	therefore	therefore	ADV
ajst-32559	54	2	,	,	PUNCT
ajst-32559	54	3	hard	hard	ADJ
ajst-32559	54	4	voting	voting	NOUN
ajst-32559	54	5	combines	combine	VERB
ajst-32559	54	6	prediction	prediction	NOUN
ajst-32559	54	7	and	and	CCONJ
ajst-32559	54	8	returns	return	VERB
ajst-32559	54	9	the	the	DET
ajst-32559	54	10	mode	mode	NOUN
ajst-32559	54	11	,	,	PUNCT
ajst-32559	54	12	which	which	PRON
ajst-32559	54	13	provides	provide	VERB
ajst-32559	54	14	a	a	DET
ajst-32559	54	15	more	more	ADV
ajst-32559	54	16	comprehensive	comprehensive	ADJ
ajst-32559	54	17	and	and	CCONJ
ajst-32559	54	18	precise	precise	ADJ
ajst-32559	54	19	prediction	prediction	NOUN
ajst-32559	54	20	.	.	PUNCT
ajst-32559	55	1	146	146	NUM
ajst-32559	55	2	3	3	NUM
ajst-32559	55	3	.	.	PUNCT
ajst-32559	55	4	data	datum	NOUN
ajst-32559	55	5	processing	process	VERB
ajst-32559	55	6	3.1	3.1	NUM
ajst-32559	55	7	data	datum	NOUN
ajst-32559	55	8	sources	source	NOUN
ajst-32559	55	9	three	three	NUM
ajst-32559	55	10	datasets	dataset	NOUN
ajst-32559	55	11	were	be	AUX
ajst-32559	55	12	extracted	extract	VERB
ajst-32559	55	13	from	from	ADP
ajst-32559	55	14	kaggle	kaggle	PROPN
ajst-32559	55	15	[	[	X
ajst-32559	55	16	4	4	NUM
ajst-32559	55	17	]	]	PUNCT
ajst-32559	55	18	as	as	ADP
ajst-32559	55	19	the	the	DET
ajst-32559	55	20	original	original	ADJ
ajst-32559	55	21	source	source	NOUN
ajst-32559	55	22	for	for	ADP
ajst-32559	55	23	this	this	DET
ajst-32559	55	24	analysis	analysis	NOUN
ajst-32559	55	25	:	:	PUNCT
ajst-32559	55	26	train	train	NOUN
ajst-32559	55	27	,	,	PUNCT
ajst-32559	55	28	test	test	NOUN
ajst-32559	55	29	,	,	PUNCT
ajst-32559	55	30	and	and	CCONJ
ajst-32559	55	31	gender	gender	NOUN
ajst-32559	55	32	submission	submission	NOUN
ajst-32559	55	33	.	.	PUNCT
ajst-32559	56	1	the	the	DET
ajst-32559	56	2	train	train	NOUN
ajst-32559	56	3	and	and	CCONJ
ajst-32559	56	4	test	test	NOUN
ajst-32559	56	5	datasets	dataset	NOUN
ajst-32559	56	6	provided	provide	VERB
ajst-32559	56	7	personal	personal	ADJ
ajst-32559	56	8	information	information	NOUN
ajst-32559	56	9	for	for	ADP
ajst-32559	56	10	a	a	DET
ajst-32559	56	11	total	total	NOUN
ajst-32559	56	12	of	of	ADP
ajst-32559	56	13	1,309	1,309	NUM
ajst-32559	56	14	passengers	passenger	NOUN
ajst-32559	56	15	aboard	aboard	ADP
ajst-32559	56	16	the	the	DET
ajst-32559	56	17	titanic	titanic	ADJ
ajst-32559	56	18	,	,	PUNCT
ajst-32559	56	19	with	with	ADP
ajst-32559	56	20	survival	survival	NOUN
ajst-32559	56	21	status	status	NOUN
ajst-32559	56	22	available	available	ADJ
ajst-32559	56	23	for	for	ADP
ajst-32559	56	24	891	891	NUM
ajst-32559	56	25	individuals	individual	NOUN
ajst-32559	56	26	and	and	CCONJ
ajst-32559	56	27	unknown	unknown	ADJ
ajst-32559	56	28	for	for	ADP
ajst-32559	56	29	the	the	DET
ajst-32559	56	30	remaining	remain	VERB
ajst-32559	56	31	418	418	NUM
ajst-32559	56	32	.	.	PUNCT
ajst-32559	57	1	the	the	DET
ajst-32559	57	2	gender	gender	NOUN
ajst-32559	57	3	submission	submission	NOUN
ajst-32559	57	4	dataset	dataset	NOUN
ajst-32559	57	5	presented	present	VERB
ajst-32559	57	6	a	a	DET
ajst-32559	57	7	baseline	baseline	ADJ
ajst-32559	57	8	prediction	prediction	NOUN
ajst-32559	57	9	model	model	NOUN
ajst-32559	57	10	that	that	PRON
ajst-32559	57	11	assumed	assume	VERB
ajst-32559	57	12	all	all	DET
ajst-32559	57	13	and	and	CCONJ
ajst-32559	57	14	only	only	ADJ
ajst-32559	57	15	female	female	ADJ
ajst-32559	57	16	passengers	passenger	NOUN
ajst-32559	57	17	survived	survive	VERB
ajst-32559	57	18	.	.	PUNCT
ajst-32559	58	1	given	give	VERB
ajst-32559	58	2	the	the	DET
ajst-32559	58	3	limited	limited	ADJ
ajst-32559	58	4	sample	sample	NOUN
ajst-32559	58	5	size	size	NOUN
ajst-32559	58	6	,	,	PUNCT
ajst-32559	58	7	the	the	DET
ajst-32559	58	8	train	train	NOUN
ajst-32559	58	9	and	and	CCONJ
ajst-32559	58	10	test	test	NOUN
ajst-32559	58	11	datasets	dataset	NOUN
ajst-32559	58	12	were	be	AUX
ajst-32559	58	13	merged	merge	VERB
ajst-32559	58	14	to	to	PART
ajst-32559	58	15	maximize	maximize	VERB
ajst-32559	58	16	the	the	DET
ajst-32559	58	17	available	available	ADJ
ajst-32559	58	18	information	information	NOUN
ajst-32559	58	19	.	.	PUNCT
ajst-32559	59	1	the	the	DET
ajst-32559	59	2	predictions	prediction	NOUN
ajst-32559	59	3	generated	generate	VERB
ajst-32559	59	4	by	by	ADP
ajst-32559	59	5	the	the	DET
ajst-32559	59	6	constructed	construct	VERB
ajst-32559	59	7	model	model	NOUN
ajst-32559	59	8	were	be	AUX
ajst-32559	59	9	subsequently	subsequently	ADV
ajst-32559	59	10	compared	compare	VERB
ajst-32559	59	11	to	to	ADP
ajst-32559	59	12	those	those	PRON
ajst-32559	59	13	in	in	ADP
ajst-32559	59	14	the	the	DET
ajst-32559	59	15	gender	gender	NOUN
ajst-32559	59	16	submission	submission	NOUN
ajst-32559	59	17	dataset	dataset	VERB
ajst-32559	59	18	to	to	PART
ajst-32559	59	19	evaluate	evaluate	VERB
ajst-32559	59	20	relative	relative	ADJ
ajst-32559	59	21	accuracy	accuracy	NOUN
ajst-32559	59	22	.	.	PUNCT
ajst-32559	60	1	3.2	3.2	NUM
ajst-32559	60	2	variables	variable	NOUN
ajst-32559	60	3	there	there	PRON
ajst-32559	60	4	were	be	VERB
ajst-32559	60	5	originally	originally	ADV
ajst-32559	60	6	12	12	NUM
ajst-32559	60	7	variables	variable	NOUN
ajst-32559	60	8	in	in	ADP
ajst-32559	60	9	the	the	DET
ajst-32559	60	10	dataset	dataset	NOUN
ajst-32559	60	11	given	give	VERB
ajst-32559	60	12	:	:	PUNCT
ajst-32559	60	13	passengerid	passengerid	ADJ
ajst-32559	60	14	,	,	PUNCT
ajst-32559	60	15	survived	survive	VERB
ajst-32559	60	16	,	,	PUNCT
ajst-32559	60	17	pclass	pclass	NOUN
ajst-32559	60	18	,	,	PUNCT
ajst-32559	60	19	name	name	NOUN
ajst-32559	60	20	,	,	PUNCT
ajst-32559	60	21	sex	sex	NOUN
ajst-32559	60	22	,	,	PUNCT
ajst-32559	60	23	age	age	NOUN
ajst-32559	60	24	,	,	PUNCT
ajst-32559	60	25	sibsp	sibsp	NOUN
ajst-32559	60	26	,	,	PUNCT
ajst-32559	60	27	parch	parch	NOUN
ajst-32559	60	28	,	,	PUNCT
ajst-32559	60	29	ticket	ticket	NOUN
ajst-32559	60	30	,	,	PUNCT
ajst-32559	60	31	fare	fare	NOUN
ajst-32559	60	32	,	,	PUNCT
ajst-32559	60	33	cabin	cabin	NOUN
ajst-32559	60	34	,	,	PUNCT
ajst-32559	60	35	embarked	embark	VERB
ajst-32559	60	36	.	.	PUNCT
ajst-32559	61	1	meanwhile	meanwhile	ADV
ajst-32559	61	2	,	,	PUNCT
ajst-32559	61	3	there	there	PRON
ajst-32559	61	4	were	be	VERB
ajst-32559	61	5	also	also	ADV
ajst-32559	61	6	some	some	DET
ajst-32559	61	7	missing	missing	ADJ
ajst-32559	61	8	values	value	NOUN
ajst-32559	61	9	in	in	ADP
ajst-32559	61	10	several	several	ADJ
ajst-32559	61	11	variables	variable	NOUN
ajst-32559	61	12	.	.	PUNCT
ajst-32559	62	1	1	1	NUM
ajst-32559	62	2	missing	miss	VERB
ajst-32559	62	3	in	in	ADP
ajst-32559	62	4	fare	fare	NOUN
ajst-32559	62	5	,	,	PUNCT
ajst-32559	62	6	2	2	NUM
ajst-32559	62	7	in	in	ADP
ajst-32559	62	8	embarked	embark	VERB
ajst-32559	62	9	,	,	PUNCT
ajst-32559	62	10	263	263	NUM
ajst-32559	62	11	in	in	ADP
ajst-32559	62	12	age	age	NOUN
ajst-32559	62	13	and	and	CCONJ
ajst-32559	62	14	1014	1014	NUM
ajst-32559	62	15	in	in	ADP
ajst-32559	62	16	cabin	cabin	NOUN
ajst-32559	62	17	.	.	PUNCT
ajst-32559	63	1	in	in	ADP
ajst-32559	63	2	the	the	DET
ajst-32559	63	3	next	next	ADJ
ajst-32559	63	4	section	section	NOUN
ajst-32559	63	5	,	,	PUNCT
ajst-32559	63	6	the	the	DET
ajst-32559	63	7	methods	method	NOUN
ajst-32559	63	8	we	we	PRON
ajst-32559	63	9	used	use	VERB
ajst-32559	63	10	to	to	PART
ajst-32559	63	11	clean	clean	VERB
ajst-32559	63	12	and	and	CCONJ
ajst-32559	63	13	organize	organize	VERB
ajst-32559	63	14	the	the	DET
ajst-32559	63	15	data	datum	NOUN
ajst-32559	63	16	will	will	AUX
ajst-32559	63	17	be	be	AUX
ajst-32559	63	18	described	describe	VERB
ajst-32559	63	19	in	in	ADP
ajst-32559	63	20	detail	detail	NOUN
ajst-32559	63	21	.	.	PUNCT
ajst-32559	64	1	3.3	3.3	NUM
ajst-32559	64	2	missing	miss	VERB
ajst-32559	64	3	value	value	NOUN
ajst-32559	64	4	treatment	treatment	NOUN
ajst-32559	64	5	and	and	CCONJ
ajst-32559	64	6	imputation	imputation	NOUN
ajst-32559	64	7	strategy	strategy	NOUN
ajst-32559	64	8	3.3.1	3.3.1	NUM
ajst-32559	64	9	fare	fare	NOUN
ajst-32559	64	10	as	as	SCONJ
ajst-32559	64	11	mentioned	mention	VERB
ajst-32559	64	12	above	above	ADV
ajst-32559	64	13	,	,	PUNCT
ajst-32559	64	14	there	there	PRON
ajst-32559	64	15	was	be	VERB
ajst-32559	64	16	only	only	ADV
ajst-32559	64	17	one	one	NUM
ajst-32559	64	18	missing	miss	VERB
ajst-32559	64	19	value	value	NOUN
ajst-32559	64	20	in	in	ADP
ajst-32559	64	21	the	the	DET
ajst-32559	64	22	category	category	NOUN
ajst-32559	64	23	‘	'	PUNCT
ajst-32559	64	24	fare	fare	NOUN
ajst-32559	64	25	’	'	PUNCT
ajst-32559	64	26	.	.	PUNCT
ajst-32559	65	1	firstly	firstly	ADV
ajst-32559	65	2	,	,	PUNCT
ajst-32559	65	3	we	we	PRON
ajst-32559	65	4	checked	check	VERB
ajst-32559	65	5	the	the	DET
ajst-32559	65	6	personal	personal	ADJ
ajst-32559	65	7	information	information	NOUN
ajst-32559	65	8	of	of	ADP
ajst-32559	65	9	this	this	DET
ajst-32559	65	10	individual	individual	NOUN
ajst-32559	65	11	to	to	PART
ajst-32559	65	12	see	see	VERB
ajst-32559	65	13	if	if	SCONJ
ajst-32559	65	14	there	there	PRON
ajst-32559	65	15	are	be	VERB
ajst-32559	65	16	any	any	DET
ajst-32559	65	17	noticeable	noticeable	ADJ
ajst-32559	65	18	features	feature	NOUN
ajst-32559	65	19	(	(	PUNCT
ajst-32559	65	20	shown	show	VERB
ajst-32559	65	21	in	in	ADP
ajst-32559	65	22	table1	table1	PROPN
ajst-32559	65	23	)	)	PUNCT
ajst-32559	65	24	.	.	PUNCT
ajst-32559	66	1	table	table	NOUN
ajst-32559	66	2	1	1	NUM
ajst-32559	66	3	.	.	PUNCT
ajst-32559	67	1	information	information	NOUN
ajst-32559	67	2	of	of	ADP
ajst-32559	67	3	the	the	DET
ajst-32559	67	4	passenger	passenger	NOUN
ajst-32559	67	5	with	with	ADP
ajst-32559	67	6	ticket	ticket	NOUN
ajst-32559	67	7	fare	fare	NOUN
ajst-32559	67	8	data	datum	NOUN
ajst-32559	67	9	missing	miss	VERB
ajst-32559	67	10	passengerid	passengerid	NOUN
ajst-32559	67	11	survived	survive	VERB
ajst-32559	67	12	pclass	pclass	NOUN
ajst-32559	67	13	name	name	NOUN
ajst-32559	67	14	sex	sex	NOUN
ajst-32559	67	15	age	age	NOUN
ajst-32559	67	16	sibsp	sibsp	NOUN
ajst-32559	67	17	parch	parch	NOUN
ajst-32559	67	18	ticket	ticket	NOUN
ajst-32559	67	19	fare	fare	NOUN
ajst-32559	67	20	cabin	cabin	NOUN
ajst-32559	67	21	embarked	embark	VERB
ajst-32559	67	22	1044	1044	NUM
ajst-32559	67	23	na	na	PART
ajst-32559	67	24	3	3	NUM
ajst-32559	67	25	storey	storey	NOUN
ajst-32559	67	26	,	,	PUNCT
ajst-32559	67	27	mr	mr	PROPN
ajst-32559	67	28	.	.	PROPN
ajst-32559	67	29	thomas	thomas	PROPN
ajst-32559	67	30	male	male	PROPN
ajst-32559	68	1	60.5	60.5	NUM
ajst-32559	68	2	0	0	NUM
ajst-32559	68	3	0	0	NUM
ajst-32559	68	4	3701	3701	NUM
ajst-32559	68	5	na	na	ADP
ajst-32559	68	6	na	na	PART
ajst-32559	68	7	s	s	PRON
ajst-32559	68	8	as	as	SCONJ
ajst-32559	68	9	shown	show	VERB
ajst-32559	68	10	in	in	ADP
ajst-32559	68	11	table	table	NOUN
ajst-32559	68	12	1	1	NUM
ajst-32559	68	13	,	,	PUNCT
ajst-32559	68	14	the	the	DET
ajst-32559	68	15	individual	individual	NOUN
ajst-32559	68	16	was	be	AUX
ajst-32559	68	17	a	a	DET
ajst-32559	68	18	male	male	NOUN
ajst-32559	68	19	from	from	ADP
ajst-32559	68	20	the	the	DET
ajst-32559	68	21	third	third	ADJ
ajst-32559	68	22	class	class	NOUN
ajst-32559	68	23	and	and	CCONJ
ajst-32559	68	24	had	have	AUX
ajst-32559	68	25	embarked	embark	VERB
ajst-32559	68	26	from	from	ADP
ajst-32559	68	27	southampton	southampton	PROPN
ajst-32559	68	28	port	port	NOUN
ajst-32559	68	29	.	.	PUNCT
ajst-32559	69	1	we	we	PRON
ajst-32559	69	2	attempted	attempt	VERB
ajst-32559	69	3	to	to	PART
ajst-32559	69	4	predict	predict	VERB
ajst-32559	69	5	his	his	PRON
ajst-32559	69	6	ticket	ticket	NOUN
ajst-32559	69	7	fare	fare	NOUN
ajst-32559	69	8	by	by	ADP
ajst-32559	69	9	looking	look	VERB
ajst-32559	69	10	at	at	ADP
ajst-32559	69	11	the	the	DET
ajst-32559	69	12	distribution	distribution	NOUN
ajst-32559	69	13	of	of	ADP
ajst-32559	69	14	third	third	ADJ
ajst-32559	69	15	-	-	PUNCT
ajst-32559	69	16	class	class	NOUN
ajst-32559	69	17	passengers	passenger	NOUN
ajst-32559	69	18	embarked	embark	VERB
ajst-32559	69	19	from	from	ADP
ajst-32559	69	20	southampton	southampton	PROPN
ajst-32559	69	21	port	port	NOUN
ajst-32559	69	22	,	,	PUNCT
ajst-32559	69	23	as	as	SCONJ
ajst-32559	69	24	passenger	passenger	NOUN
ajst-32559	69	25	class	class	NOUN
ajst-32559	69	26	is	be	AUX
ajst-32559	69	27	closely	closely	ADV
ajst-32559	69	28	linked	link	VERB
ajst-32559	69	29	to	to	ADP
ajst-32559	69	30	ticket	ticket	NOUN
ajst-32559	69	31	fare	fare	NOUN
ajst-32559	69	32	,	,	PUNCT
ajst-32559	69	33	and	and	CCONJ
ajst-32559	69	34	the	the	DET
ajst-32559	69	35	embarkation	embarkation	NOUN
ajst-32559	69	36	indicated	indicate	VERB
ajst-32559	69	37	the	the	DET
ajst-32559	69	38	social	social	ADJ
ajst-32559	69	39	class	class	NOUN
ajst-32559	69	40	and	and	CCONJ
ajst-32559	69	41	economic	economic	ADJ
ajst-32559	69	42	level	level	NOUN
ajst-32559	69	43	of	of	ADP
ajst-32559	69	44	passengers	passenger	NOUN
ajst-32559	69	45	to	to	ADP
ajst-32559	69	46	some	some	DET
ajst-32559	69	47	extent	extent	NOUN
ajst-32559	69	48	.	.	PUNCT
ajst-32559	70	1	figure	figure	NOUN
ajst-32559	70	2	2	2	NUM
ajst-32559	70	3	.	.	PUNCT
ajst-32559	70	4	fare	fare	ADJ
ajst-32559	70	5	distribution	distribution	NOUN
ajst-32559	70	6	of	of	ADP
ajst-32559	70	7	third	third	ADJ
ajst-32559	70	8	-	-	PUNCT
ajst-32559	70	9	class	class	NOUN
ajst-32559	70	10	passengers	passenger	NOUN
ajst-32559	70	11	embarked	embark	VERB
ajst-32559	70	12	from	from	ADP
ajst-32559	70	13	southampton	southampton	PROPN
ajst-32559	70	14	port	port	NOUN
ajst-32559	70	15	in	in	ADP
ajst-32559	70	16	figure	figure	NOUN
ajst-32559	70	17	2	2	NUM
ajst-32559	70	18	,	,	PUNCT
ajst-32559	70	19	the	the	DET
ajst-32559	70	20	cyan	cyan	NOUN
ajst-32559	70	21	and	and	CCONJ
ajst-32559	70	22	orange	orange	PROPN
ajst-32559	70	23	lines	line	NOUN
ajst-32559	70	24	represent	represent	VERB
ajst-32559	70	25	the	the	DET
ajst-32559	70	26	median	median	NOUN
ajst-32559	70	27	and	and	CCONJ
ajst-32559	70	28	mean	mean	ADJ
ajst-32559	70	29	fare	fare	VERB
ajst-32559	70	30	respectively	respectively	ADV
ajst-32559	70	31	.	.	PUNCT
ajst-32559	71	1	we	we	PRON
ajst-32559	71	2	chose	choose	VERB
ajst-32559	71	3	to	to	PART
ajst-32559	71	4	impute	impute	VERB
ajst-32559	71	5	the	the	DET
ajst-32559	71	6	missing	miss	VERB
ajst-32559	71	7	value	value	NOUN
ajst-32559	71	8	by	by	ADP
ajst-32559	71	9	the	the	DET
ajst-32559	71	10	median	median	NOUN
ajst-32559	71	11	of	of	ADP
ajst-32559	71	12	all	all	DET
ajst-32559	71	13	fares	fare	NOUN
ajst-32559	71	14	,	,	PUNCT
ajst-32559	71	15	as	as	SCONJ
ajst-32559	71	16	the	the	DET
ajst-32559	71	17	proportion	proportion	NOUN
ajst-32559	71	18	of	of	ADP
ajst-32559	71	19	passengers	passenger	NOUN
ajst-32559	71	20	with	with	ADP
ajst-32559	71	21	fare	fare	NOUN
ajst-32559	71	22	around	around	ADP
ajst-32559	71	23	median	median	NOUN
ajst-32559	71	24	is	be	AUX
ajst-32559	71	25	very	very	ADV
ajst-32559	71	26	high	high	ADJ
ajst-32559	71	27	(	(	PUNCT
ajst-32559	71	28	also	also	ADV
ajst-32559	71	29	since	since	SCONJ
ajst-32559	71	30	there	there	PRON
ajst-32559	71	31	are	be	VERB
ajst-32559	71	32	some	some	DET
ajst-32559	71	33	extremely	extremely	ADV
ajst-32559	71	34	high	high	ADJ
ajst-32559	71	35	values	value	NOUN
ajst-32559	71	36	that	that	PRON
ajst-32559	71	37	drive	drive	VERB
ajst-32559	71	38	the	the	DET
ajst-32559	71	39	average	average	NOUN
ajst-32559	71	40	upward	upward	ADV
ajst-32559	71	41	)	)	PUNCT
ajst-32559	72	1	[	[	X
ajst-32559	72	2	4	4	NUM
ajst-32559	72	3	]	]	PUNCT
ajst-32559	72	4	.	.	PUNCT
ajst-32559	73	1	147	147	NUM
ajst-32559	73	2	3.3.2	3.3.2	NUM
ajst-32559	73	3	embarked	embark	VERB
ajst-32559	73	4	in	in	ADP
ajst-32559	73	5	the	the	DET
ajst-32559	73	6	previous	previous	ADJ
ajst-32559	73	7	section	section	NOUN
ajst-32559	73	8	,	,	PUNCT
ajst-32559	73	9	we	we	PRON
ajst-32559	73	10	discussed	discuss	VERB
ajst-32559	73	11	that	that	SCONJ
ajst-32559	73	12	‘	'	PUNCT
ajst-32559	73	13	fare	fare	NOUN
ajst-32559	73	14	’	'	PUNCT
ajst-32559	73	15	,	,	PUNCT
ajst-32559	73	16	‘	'	PUNCT
ajst-32559	73	17	pclass	pclass	NOUN
ajst-32559	73	18	’	'	PUNCT
ajst-32559	73	19	and	and	CCONJ
ajst-32559	73	20	‘	'	PUNCT
ajst-32559	73	21	embarked	embark	VERB
ajst-32559	73	22	’	'	PUNCT
ajst-32559	73	23	are	be	AUX
ajst-32559	73	24	closely	closely	ADV
ajst-32559	73	25	related	relate	VERB
ajst-32559	73	26	,	,	PUNCT
ajst-32559	73	27	so	so	CCONJ
ajst-32559	73	28	it	it	PRON
ajst-32559	73	29	is	be	AUX
ajst-32559	73	30	reasonable	reasonable	ADJ
ajst-32559	73	31	to	to	PART
ajst-32559	73	32	take	take	VERB
ajst-32559	73	33	advantage	advantage	NOUN
ajst-32559	73	34	of	of	ADP
ajst-32559	73	35	this	this	DET
ajst-32559	73	36	relationship	relationship	NOUN
ajst-32559	73	37	again	again	ADV
ajst-32559	73	38	to	to	PART
ajst-32559	73	39	help	help	VERB
ajst-32559	73	40	us	we	PRON
ajst-32559	73	41	impute	impute	VERB
ajst-32559	73	42	the	the	DET
ajst-32559	73	43	missing	miss	VERB
ajst-32559	73	44	values	value	NOUN
ajst-32559	73	45	of	of	ADP
ajst-32559	73	46	‘	'	PUNCT
ajst-32559	73	47	embarked	embark	VERB
ajst-32559	73	48	’	'	PUNCT
ajst-32559	73	49	.	.	PUNCT
ajst-32559	74	1	table	table	NOUN
ajst-32559	74	2	2	2	NUM
ajst-32559	74	3	.	.	PUNCT
ajst-32559	75	1	information	information	NOUN
ajst-32559	75	2	of	of	ADP
ajst-32559	75	3	the	the	DET
ajst-32559	75	4	passenger	passenger	NOUN
ajst-32559	75	5	with	with	ADP
ajst-32559	75	6	embarked	embark	VERB
ajst-32559	75	7	data	datum	NOUN
ajst-32559	75	8	missing	miss	VERB
ajst-32559	75	9	passengerid	passengerid	NOUN
ajst-32559	75	10	survived	survive	VERB
ajst-32559	75	11	pclass	pclass	NOUN
ajst-32559	75	12	name	name	NOUN
ajst-32559	75	13	sex	sex	NOUN
ajst-32559	75	14	age	age	NOUN
ajst-32559	75	15	sibsp	sibsp	NOUN
ajst-32559	75	16	parch	parch	NOUN
ajst-32559	75	17	ticket	ticket	NOUN
ajst-32559	75	18	fare	fare	NOUN
ajst-32559	75	19	cabin	cabin	NOUN
ajst-32559	75	20	embarked	embark	VERB
ajst-32559	75	21	62	62	NUM
ajst-32559	75	22	1	1	NUM
ajst-32559	75	23	1	1	NUM
ajst-32559	75	24	icard	icard	ADJ
ajst-32559	75	25	,	,	PUNCT
ajst-32559	75	26	miss	miss	PROPN
ajst-32559	75	27	.	.	PUNCT
ajst-32559	76	1	amelie	amelie	PROPN
ajst-32559	76	2	female	female	NOUN
ajst-32559	76	3	38	38	NUM
ajst-32559	76	4	0	0	NUM
ajst-32559	76	5	0	0	NUM
ajst-32559	76	6	113572	113572	NUM
ajst-32559	76	7	80	80	NUM
ajst-32559	76	8	b28	b28	NOUN
ajst-32559	76	9	na	na	ADP
ajst-32559	76	10	830	830	NUM
ajst-32559	76	11	1	1	NUM
ajst-32559	76	12	1	1	NUM
ajst-32559	76	13	stone	stone	NOUN
ajst-32559	76	14	,	,	PUNCT
ajst-32559	76	15	mrs	mrs	PROPN
ajst-32559	76	16	.	.	PROPN
ajst-32559	76	17	george	george	PROPN
ajst-32559	76	18	nelson	nelson	PROPN
ajst-32559	76	19	(	(	PUNCT
ajst-32559	76	20	martha	martha	PROPN
ajst-32559	76	21	evelyn	evelyn	PROPN
ajst-32559	76	22	)	)	PUNCT
ajst-32559	76	23	female	female	NOUN
ajst-32559	76	24	62	62	NUM
ajst-32559	76	25	0	0	NUM
ajst-32559	76	26	0	0	NUM
ajst-32559	76	27	113572	113572	NUM
ajst-32559	76	28	80	80	NUM
ajst-32559	76	29	b28	b28	PROPN
ajst-32559	76	30	na	na	NOUN
ajst-32559	76	31	from	from	ADP
ajst-32559	76	32	table	table	NOUN
ajst-32559	76	33	2	2	NUM
ajst-32559	76	34	we	we	PRON
ajst-32559	76	35	observed	observe	VERB
ajst-32559	76	36	that	that	SCONJ
ajst-32559	76	37	both	both	CCONJ
ajst-32559	76	38	the	the	DET
ajst-32559	76	39	two	two	NUM
ajst-32559	76	40	ladies	lady	NOUN
ajst-32559	76	41	with	with	ADP
ajst-32559	76	42	missing	miss	VERB
ajst-32559	76	43	‘	'	PUNCT
ajst-32559	76	44	embarked	embarked	ADJ
ajst-32559	76	45	’	'	PUNCT
ajst-32559	76	46	data	datum	NOUN
ajst-32559	76	47	were	be	AUX
ajst-32559	76	48	from	from	ADP
ajst-32559	76	49	the	the	DET
ajst-32559	76	50	first	first	ADJ
ajst-32559	76	51	class	class	NOUN
ajst-32559	76	52	,	,	PUNCT
ajst-32559	76	53	while	while	SCONJ
ajst-32559	76	54	they	they	PRON
ajst-32559	76	55	also	also	ADV
ajst-32559	76	56	had	have	VERB
ajst-32559	76	57	the	the	DET
ajst-32559	76	58	same	same	ADJ
ajst-32559	76	59	ticket	ticket	NOUN
ajst-32559	76	60	fare	fare	NOUN
ajst-32559	76	61	of	of	ADP
ajst-32559	76	62	￡80	￡80	NOUN
ajst-32559	76	63	.	.	PUNCT
ajst-32559	77	1	this	this	DET
ajst-32559	77	2	information	information	NOUN
ajst-32559	77	3	helped	help	VERB
ajst-32559	77	4	us	we	PRON
ajst-32559	77	5	determine	determine	VERB
ajst-32559	77	6	the	the	DET
ajst-32559	77	7	underlying	underlie	VERB
ajst-32559	77	8	embarkation	embarkation	NOUN
ajst-32559	77	9	in	in	ADP
ajst-32559	77	10	the	the	DET
ajst-32559	77	11	following	follow	VERB
ajst-32559	77	12	boxplot	boxplot	NOUN
ajst-32559	77	13	,	,	PUNCT
ajst-32559	77	14	which	which	PRON
ajst-32559	77	15	categorizes	categorize	VERB
ajst-32559	77	16	the	the	DET
ajst-32559	77	17	population	population	NOUN
ajst-32559	77	18	by	by	ADP
ajst-32559	77	19	passenger	passenger	NOUN
ajst-32559	77	20	class	class	NOUN
ajst-32559	77	21	and	and	CCONJ
ajst-32559	77	22	ticket	ticket	NOUN
ajst-32559	77	23	fare	fare	NOUN
ajst-32559	77	24	.	.	PUNCT
ajst-32559	78	1	figure	figure	NOUN
ajst-32559	78	2	3	3	NUM
ajst-32559	78	3	.	.	X
ajst-32559	78	4	relationship	relationship	NOUN
ajst-32559	78	5	between	between	ADP
ajst-32559	78	6	embarked	embark	VERB
ajst-32559	78	7	and	and	CCONJ
ajst-32559	78	8	fare	fare	VERB
ajst-32559	78	9	grouped	group	VERB
ajst-32559	78	10	by	by	ADP
ajst-32559	78	11	passenger	passenger	NOUN
ajst-32559	78	12	class	class	NOUN
ajst-32559	78	13	in	in	ADP
ajst-32559	78	14	figure	figure	NOUN
ajst-32559	78	15	3	3	NUM
ajst-32559	78	16	,	,	PUNCT
ajst-32559	78	17	the	the	DET
ajst-32559	78	18	median	median	ADJ
ajst-32559	78	19	fare	fare	NOUN
ajst-32559	78	20	for	for	ADP
ajst-32559	78	21	a	a	DET
ajst-32559	78	22	first	first	ADJ
ajst-32559	78	23	-	-	PUNCT
ajst-32559	78	24	class	class	NOUN
ajst-32559	78	25	passenger	passenger	NOUN
ajst-32559	78	26	departing	depart	VERB
ajst-32559	78	27	from	from	ADP
ajst-32559	78	28	cherbourg	cherbourg	PROPN
ajst-32559	78	29	(	(	PUNCT
ajst-32559	78	30	‘	'	PUNCT
ajst-32559	78	31	c	c	X
ajst-32559	78	32	’	'	PUNCT
ajst-32559	78	33	)	)	PUNCT
ajst-32559	78	34	coincides	coincide	VERB
ajst-32559	78	35	nicely	nicely	ADV
ajst-32559	78	36	with	with	ADP
ajst-32559	78	37	the	the	DET
ajst-32559	78	38	$	$	SYM
ajst-32559	78	39	80	80	NUM
ajst-32559	78	40	paid	pay	VERB
ajst-32559	78	41	by	by	ADP
ajst-32559	78	42	the	the	DET
ajst-32559	78	43	two	two	NUM
ajst-32559	78	44	embarkment	embarkment	ADJ
ajst-32559	78	45	-	-	PUNCT
ajst-32559	78	46	deficient	deficient	ADJ
ajst-32559	78	47	passengers	passenger	NOUN
ajst-32559	78	48	,	,	PUNCT
ajst-32559	78	49	which	which	PRON
ajst-32559	78	50	provides	provide	VERB
ajst-32559	78	51	enough	enough	ADJ
ajst-32559	78	52	evidence	evidence	NOUN
ajst-32559	78	53	for	for	SCONJ
ajst-32559	78	54	us	we	PRON
ajst-32559	78	55	to	to	PART
ajst-32559	78	56	replace	replace	VERB
ajst-32559	78	57	the	the	DET
ajst-32559	78	58	na	na	NOUN
ajst-32559	78	59	values	value	NOUN
ajst-32559	78	60	with	with	ADP
ajst-32559	78	61	‘	'	PUNCT
ajst-32559	78	62	c	c	NOUN
ajst-32559	78	63	’	'	PUNCT
ajst-32559	78	64	[	[	X
ajst-32559	78	65	5	5	NUM
ajst-32559	78	66	]	]	PUNCT
ajst-32559	78	67	.	.	PUNCT
ajst-32559	79	1	however	however	ADV
ajst-32559	79	2	,	,	PUNCT
ajst-32559	79	3	as	as	SCONJ
ajst-32559	79	4	we	we	PRON
ajst-32559	79	5	checked	check	VERB
ajst-32559	79	6	out	out	ADP
ajst-32559	79	7	the	the	DET
ajst-32559	79	8	correct	correct	ADJ
ajst-32559	79	9	value	value	NOUN
ajst-32559	79	10	on	on	ADP
ajst-32559	79	11	the	the	DET
ajst-32559	79	12	official	official	ADJ
ajst-32559	79	13	website	website	NOUN
ajst-32559	79	14	[	[	X
ajst-32559	79	15	4	4	NUM
ajst-32559	79	16	]	]	PUNCT
ajst-32559	79	17	,	,	PUNCT
ajst-32559	79	18	we	we	PRON
ajst-32559	79	19	found	find	VERB
ajst-32559	79	20	out	out	ADP
ajst-32559	79	21	that	that	SCONJ
ajst-32559	79	22	the	the	DET
ajst-32559	79	23	two	two	NUM
ajst-32559	79	24	individuals	individual	NOUN
ajst-32559	79	25	with	with	ADP
ajst-32559	79	26	missing	miss	VERB
ajst-32559	79	27	embark	embark	NOUN
ajst-32559	79	28	data	datum	NOUN
ajst-32559	79	29	actually	actually	ADV
ajst-32559	79	30	went	go	VERB
ajst-32559	79	31	on	on	ADP
ajst-32559	79	32	board	board	NOUN
ajst-32559	79	33	in	in	ADP
ajst-32559	79	34	‘s	‘s	NOUN
ajst-32559	79	35	’	'	PUNCT
ajst-32559	79	36	(	(	PUNCT
ajst-32559	79	37	southampton	southampton	PROPN
ajst-32559	79	38	)	)	PUNCT
ajst-32559	79	39	(	(	PUNCT
ajst-32559	79	40	table	table	NOUN
ajst-32559	79	41	3	3	NUM
ajst-32559	79	42	)	)	PUNCT
ajst-32559	79	43	.	.	PUNCT
ajst-32559	80	1	our	our	PRON
ajst-32559	80	2	wrong	wrong	ADJ
ajst-32559	80	3	prediction	prediction	NOUN
ajst-32559	80	4	is	be	AUX
ajst-32559	80	5	likely	likely	ADJ
ajst-32559	80	6	to	to	PART
ajst-32559	80	7	stem	stem	VERB
ajst-32559	80	8	from	from	ADP
ajst-32559	80	9	the	the	DET
ajst-32559	80	10	fact	fact	NOUN
ajst-32559	80	11	that	that	SCONJ
ajst-32559	80	12	fare	fare	NOUN
ajst-32559	80	13	and	and	CCONJ
ajst-32559	80	14	pclass	pclass	NOUN
ajst-32559	80	15	do	do	AUX
ajst-32559	80	16	not	not	PART
ajst-32559	80	17	uniquely	uniquely	ADV
ajst-32559	80	18	identify	identify	VERB
ajst-32559	80	19	the	the	DET
ajst-32559	80	20	embarkation	embarkation	NOUN
ajst-32559	80	21	point	point	NOUN
ajst-32559	80	22	,	,	PUNCT
ajst-32559	80	23	namely	namely	ADV
ajst-32559	80	24	,	,	PUNCT
ajst-32559	80	25	the	the	DET
ajst-32559	80	26	correlation	correlation	NOUN
ajst-32559	80	27	between	between	ADP
ajst-32559	80	28	either	either	CCONJ
ajst-32559	80	29	fare	fare	NOUN
ajst-32559	80	30	or	or	CCONJ
ajst-32559	80	31	pclass	pclass	VERB
ajst-32559	80	32	and	and	CCONJ
ajst-32559	80	33	embarked	embark	VERB
ajst-32559	80	34	is	be	AUX
ajst-32559	80	35	not	not	PART
ajst-32559	80	36	strong	strong	ADJ
ajst-32559	80	37	enough	enough	ADV
ajst-32559	80	38	;	;	PUNCT
ajst-32559	80	39	the	the	DET
ajst-32559	80	40	situation	situation	NOUN
ajst-32559	80	41	could	could	AUX
ajst-32559	80	42	vary	vary	VERB
ajst-32559	80	43	if	if	SCONJ
ajst-32559	80	44	other	other	ADJ
ajst-32559	80	45	variables	variable	NOUN
ajst-32559	80	46	tell	tell	VERB
ajst-32559	80	47	a	a	DET
ajst-32559	80	48	different	different	ADJ
ajst-32559	80	49	story	story	NOUN
ajst-32559	80	50	.	.	PUNCT
ajst-32559	81	1	table	table	NOUN
ajst-32559	81	2	3	3	NUM
ajst-32559	81	3	.	.	PUNCT
ajst-32559	82	1	the	the	DET
ajst-32559	82	2	actual	actual	ADJ
ajst-32559	82	3	data	datum	NOUN
ajst-32559	82	4	of	of	ADP
ajst-32559	82	5	the	the	DET
ajst-32559	82	6	two	two	NUM
ajst-32559	82	7	passengers	passenger	NOUN
ajst-32559	82	8	with	with	ADP
ajst-32559	82	9	boarded	board	VERB
ajst-32559	82	10	showing	show	VERB
ajst-32559	82	11	‘s	‘s	PART
ajst-32559	82	12	’	'	PUNCT
ajst-32559	82	13	surname	surname	NOUN
ajst-32559	82	14	first	first	ADJ
ajst-32559	82	15	names	name	NOUN
ajst-32559	82	16	age	age	NOUN
ajst-32559	82	17	boarded	board	VERB
ajst-32559	82	18	survivors(s	survivors(s	NOUN
ajst-32559	82	19	)	)	PUNCT
ajst-32559	82	20	or	or	CCONJ
ajst-32559	82	21	victim	victim	NOUN
ajst-32559	82	22	(	(	PUNCT
ajst-32559	82	23	✝	✝	NOUN
ajst-32559	82	24	)	)	PUNCT
ajst-32559	82	25	icard	icard	PROPN
ajst-32559	82	26	miss	miss	PROPN
ajst-32559	82	27	.	.	PUNCT
ajst-32559	83	1	rose	rise	VERB
ajst-32559	83	2	amelie	amelie	PROPN
ajst-32559	83	3	(	(	PUNCT
ajst-32559	83	4	maid	maid	NOUN
ajst-32559	83	5	to	to	ADP
ajst-32559	83	6	mrs	mrs	PROPN
ajst-32559	83	7	.	.	PROPN
ajst-32559	83	8	george	george	PROPN
ajst-32559	83	9	nelson	nelson	PROPN
ajst-32559	83	10	stone	stone	PROPN
ajst-32559	83	11	39	39	NUM
ajst-32559	83	12	southampton	southampton	PROPN
ajst-32559	83	13	s	s	PROPN
ajst-32559	83	14	stone	stone	PROPN
ajst-32559	83	15	mrs	mrs	PROPN
ajst-32559	83	16	.	.	PROPN
ajst-32559	83	17	martha	martha	PROPN
ajst-32559	83	18	evelyn	evelyn	PROPN
ajst-32559	83	19	62	62	NUM
ajst-32559	83	20	southampton	southampton	PROPN
ajst-32559	83	21	s	s	PART
ajst-32559	83	22	alternatively	alternatively	ADV
ajst-32559	83	23	,	,	PUNCT
ajst-32559	83	24	we	we	PRON
ajst-32559	83	25	made	make	VERB
ajst-32559	83	26	use	use	NOUN
ajst-32559	83	27	of	of	ADP
ajst-32559	83	28	the	the	DET
ajst-32559	83	29	connection	connection	NOUN
ajst-32559	83	30	between	between	ADP
ajst-32559	83	31	ticket	ticket	NOUN
ajst-32559	83	32	numbers	number	NOUN
ajst-32559	83	33	and	and	CCONJ
ajst-32559	83	34	embarkation	embarkation	NOUN
ajst-32559	83	35	.	.	PUNCT
ajst-32559	84	1	after	after	ADP
ajst-32559	84	2	converting	convert	VERB
ajst-32559	84	3	ticket	ticket	NOUN
ajst-32559	84	4	numbers	number	NOUN
ajst-32559	84	5	into	into	ADP
ajst-32559	84	6	factors	factor	NOUN
ajst-32559	84	7	(	(	PUNCT
ajst-32559	84	8	which	which	PRON
ajst-32559	84	9	will	will	AUX
ajst-32559	84	10	automatically	automatically	ADV
ajst-32559	84	11	put	put	VERB
ajst-32559	84	12	similar	similar	ADJ
ajst-32559	84	13	format	format	NOUN
ajst-32559	84	14	into	into	ADP
ajst-32559	84	15	close	close	ADJ
ajst-32559	84	16	groups	group	NOUN
ajst-32559	84	17	)	)	PUNCT
ajst-32559	84	18	,	,	PUNCT
ajst-32559	84	19	we	we	PRON
ajst-32559	84	20	plotted	plot	VERB
ajst-32559	84	21	a	a	DET
ajst-32559	84	22	bar	bar	NOUN
ajst-32559	84	23	graph	graph	NOUN
ajst-32559	84	24	(	(	PUNCT
ajst-32559	84	25	figure	figure	NOUN
ajst-32559	84	26	4	4	NUM
ajst-32559	84	27	)	)	PUNCT
ajst-32559	84	28	to	to	PART
ajst-32559	84	29	see	see	VERB
ajst-32559	84	30	whether	whether	SCONJ
ajst-32559	84	31	there	there	PRON
ajst-32559	84	32	is	be	VERB
ajst-32559	84	33	a	a	DET
ajst-32559	84	34	close	close	ADJ
ajst-32559	84	35	relationship	relationship	NOUN
ajst-32559	84	36	between	between	ADP
ajst-32559	84	37	the	the	DET
ajst-32559	84	38	two	two	NUM
ajst-32559	84	39	variables	variable	NOUN
ajst-32559	84	40	.	.	PUNCT
ajst-32559	85	1	afterwards	afterwards	ADV
ajst-32559	85	2	,	,	PUNCT
ajst-32559	85	3	we	we	PRON
ajst-32559	85	4	look	look	VERB
ajst-32559	85	5	into	into	ADP
ajst-32559	85	6	the	the	DET
ajst-32559	85	7	focus	focus	NOUN
ajst-32559	85	8	range	range	NOUN
ajst-32559	85	9	(	(	PUNCT
ajst-32559	85	10	figure	figure	NOUN
ajst-32559	85	11	5	5	NUM
ajst-32559	85	12	)	)	PUNCT
ajst-32559	85	13	and	and	CCONJ
ajst-32559	85	14	based	base	VERB
ajst-32559	85	15	on	on	ADP
ajst-32559	85	16	the	the	DET
ajst-32559	85	17	distribution	distribution	NOUN
ajst-32559	85	18	in	in	ADP
ajst-32559	85	19	the	the	DET
ajst-32559	85	20	graph	graph	NOUN
ajst-32559	85	21	,	,	PUNCT
ajst-32559	85	22	we	we	PRON
ajst-32559	85	23	concluded	conclude	VERB
ajst-32559	85	24	that	that	SCONJ
ajst-32559	85	25	the	the	DET
ajst-32559	85	26	missing	miss	VERB
ajst-32559	85	27	value	value	NOUN
ajst-32559	85	28	is	be	AUX
ajst-32559	85	29	more	more	ADV
ajst-32559	85	30	likely	likely	ADJ
ajst-32559	85	31	to	to	PART
ajst-32559	85	32	be	be	AUX
ajst-32559	85	33	s	s	PROPN
ajst-32559	85	34	(	(	PUNCT
ajst-32559	85	35	3	3	NUM
ajst-32559	85	36	)	)	PUNCT
ajst-32559	85	37	.	.	PUNCT
ajst-32559	86	1	however	however	ADV
ajst-32559	86	2	,	,	PUNCT
ajst-32559	86	3	we	we	PRON
ajst-32559	86	4	believed	believe	VERB
ajst-32559	86	5	that	that	SCONJ
ajst-32559	86	6	this	this	DET
ajst-32559	86	7	method	method	NOUN
ajst-32559	86	8	148	148	NUM
ajst-32559	86	9	has	have	VERB
ajst-32559	86	10	its	its	PRON
ajst-32559	86	11	own	own	ADJ
ajst-32559	86	12	limitations	limitation	NOUN
ajst-32559	86	13	as	as	ADV
ajst-32559	86	14	well	well	ADV
ajst-32559	86	15	.	.	PUNCT
ajst-32559	87	1	it	it	PRON
ajst-32559	87	2	seemed	seem	VERB
ajst-32559	87	3	like	like	ADP
ajst-32559	87	4	a	a	DET
ajst-32559	87	5	correct	correct	ADJ
ajst-32559	87	6	approach	approach	NOUN
ajst-32559	87	7	just	just	ADV
ajst-32559	87	8	because	because	SCONJ
ajst-32559	87	9	its	its	PRON
ajst-32559	87	10	outcome	outcome	NOUN
ajst-32559	87	11	is	be	AUX
ajst-32559	87	12	consistent	consistent	ADJ
ajst-32559	87	13	with	with	ADP
ajst-32559	87	14	the	the	DET
ajst-32559	87	15	actual	actual	ADJ
ajst-32559	87	16	data	datum	NOUN
ajst-32559	87	17	.	.	PUNCT
ajst-32559	88	1	figure	figure	NOUN
ajst-32559	88	2	4	4	NUM
ajst-32559	88	3	.	.	PUNCT
ajst-32559	88	4	bar	bar	NOUN
ajst-32559	88	5	graph	graph	NOUN
ajst-32559	88	6	of	of	ADP
ajst-32559	88	7	relationship	relationship	NOUN
ajst-32559	88	8	between	between	ADP
ajst-32559	88	9	embarked	embarked	ADJ
ajst-32559	88	10	and	and	CCONJ
ajst-32559	88	11	ticket	ticket	NOUN
ajst-32559	88	12	number	number	NOUN
ajst-32559	88	13	figure	figure	NOUN
ajst-32559	88	14	5	5	NUM
ajst-32559	88	15	.	.	PUNCT
ajst-32559	89	1	distribution	distribution	NOUN
ajst-32559	89	2	of	of	ADP
ajst-32559	89	3	embarkation	embarkation	NOUN
ajst-32559	89	4	by	by	ADP
ajst-32559	89	5	ticket	ticket	NOUN
ajst-32559	89	6	group	group	NOUN
ajst-32559	89	7	3.3.3	3.3.3	NUM
ajst-32559	89	8	age	age	NOUN
ajst-32559	89	9	we	we	PRON
ajst-32559	89	10	decided	decide	VERB
ajst-32559	89	11	to	to	PART
ajst-32559	89	12	create	create	VERB
ajst-32559	89	13	a	a	DET
ajst-32559	89	14	model	model	NOUN
ajst-32559	89	15	to	to	PART
ajst-32559	89	16	predict	predict	VERB
ajst-32559	89	17	ages	age	NOUN
ajst-32559	89	18	based	base	VERB
ajst-32559	89	19	on	on	ADP
ajst-32559	89	20	other	other	ADJ
ajst-32559	89	21	variables	variable	NOUN
ajst-32559	89	22	in	in	ADP
ajst-32559	89	23	the	the	DET
ajst-32559	89	24	dataset	dataset	NOUN
ajst-32559	89	25	by	by	ADP
ajst-32559	89	26	applying	apply	VERB
ajst-32559	89	27	a	a	DET
ajst-32559	89	28	package	package	NOUN
ajst-32559	89	29	called	call	VERB
ajst-32559	89	30	“	"	PUNCT
ajst-32559	89	31	mice	mouse	NOUN
ajst-32559	89	32	”	"	PUNCT
ajst-32559	89	33	(	(	PUNCT
ajst-32559	89	34	multivariate	multivariate	NOUN
ajst-32559	89	35	imputation	imputation	NOUN
ajst-32559	89	36	by	by	ADP
ajst-32559	89	37	chained	chain	VERB
ajst-32559	89	38	equations	equation	NOUN
ajst-32559	89	39	)	)	PUNCT
ajst-32559	89	40	in	in	ADP
ajst-32559	89	41	rstudio	rstudio	NOUN
ajst-32559	89	42	.	.	PUNCT
ajst-32559	90	1	we	we	PRON
ajst-32559	90	2	then	then	ADV
ajst-32559	90	3	compared	compare	VERB
ajst-32559	90	4	the	the	DET
ajst-32559	90	5	results	result	NOUN
ajst-32559	90	6	it	it	PRON
ajst-32559	90	7	generates	generate	VERB
ajst-32559	90	8	with	with	ADP
ajst-32559	90	9	the	the	DET
ajst-32559	90	10	original	original	ADJ
ajst-32559	90	11	distribution	distribution	NOUN
ajst-32559	90	12	of	of	ADP
ajst-32559	90	13	passenger	passenger	NOUN
ajst-32559	90	14	age	age	NOUN
ajst-32559	90	15	to	to	PART
ajst-32559	90	16	examine	examine	VERB
ajst-32559	90	17	its	its	PRON
ajst-32559	90	18	accuracy	accuracy	NOUN
ajst-32559	90	19	.	.	PUNCT
ajst-32559	91	1	figure	figure	NOUN
ajst-32559	91	2	6	6	NUM
ajst-32559	91	3	below	below	ADP
ajst-32559	91	4	showcases	showcase	NOUN
ajst-32559	91	5	a	a	DET
ajst-32559	91	6	similar	similar	ADJ
ajst-32559	91	7	pattern	pattern	NOUN
ajst-32559	91	8	of	of	ADP
ajst-32559	91	9	our	our	PRON
ajst-32559	91	10	prediction	prediction	NOUN
ajst-32559	91	11	and	and	CCONJ
ajst-32559	91	12	the	the	DET
ajst-32559	91	13	original	original	ADJ
ajst-32559	91	14	data	datum	NOUN
ajst-32559	91	15	,	,	PUNCT
ajst-32559	91	16	indicating	indicate	VERB
ajst-32559	91	17	that	that	SCONJ
ajst-32559	91	18	the	the	DET
ajst-32559	91	19	output	output	NOUN
ajst-32559	91	20	from	from	ADP
ajst-32559	91	21	the	the	DET
ajst-32559	91	22	mice	mice	NOUN
ajst-32559	91	23	model	model	NOUN
ajst-32559	91	24	fits	fit	VERB
ajst-32559	91	25	the	the	DET
ajst-32559	91	26	existing	exist	VERB
ajst-32559	91	27	distribution	distribution	NOUN
ajst-32559	91	28	very	very	ADV
ajst-32559	91	29	well	well	ADV
ajst-32559	92	1	[	[	X
ajst-32559	92	2	5	5	NUM
ajst-32559	92	3	]	]	PUNCT
ajst-32559	92	4	.	.	PUNCT
ajst-32559	93	1	figure	figure	NOUN
ajst-32559	93	2	6	6	NUM
ajst-32559	93	3	.	.	PUNCT
ajst-32559	93	4	comparison	comparison	NOUN
ajst-32559	93	5	of	of	ADP
ajst-32559	93	6	age	age	NOUN
ajst-32559	93	7	distribution	distribution	NOUN
ajst-32559	93	8	before	before	ADP
ajst-32559	93	9	and	and	CCONJ
ajst-32559	93	10	after	after	ADP
ajst-32559	93	11	applying	apply	VERB
ajst-32559	93	12	the	the	DET
ajst-32559	93	13	model	model	NOUN
ajst-32559	93	14	149	149	NUM
ajst-32559	93	15	3.3.4	3.3.4	NUM
ajst-32559	93	16	cabin	cabin	NOUN
ajst-32559	93	17	we	we	PRON
ajst-32559	93	18	revisited	revisit	VERB
ajst-32559	93	19	the	the	DET
ajst-32559	93	20	table	table	NOUN
ajst-32559	93	21	of	of	ADP
ajst-32559	93	22	missing	miss	VERB
ajst-32559	93	23	values	value	NOUN
ajst-32559	93	24	referenced	reference	VERB
ajst-32559	93	25	at	at	ADP
ajst-32559	93	26	the	the	DET
ajst-32559	93	27	beginning	beginning	NOUN
ajst-32559	93	28	of	of	ADP
ajst-32559	93	29	the	the	DET
ajst-32559	93	30	section	section	NOUN
ajst-32559	93	31	and	and	CCONJ
ajst-32559	93	32	observed	observe	VERB
ajst-32559	93	33	that	that	SCONJ
ajst-32559	93	34	the	the	DET
ajst-32559	93	35	variable	variable	ADJ
ajst-32559	93	36	cabin	cabin	NOUN
ajst-32559	93	37	contained	contain	VERB
ajst-32559	93	38	1,014	1,014	NUM
ajst-32559	93	39	missing	miss	VERB
ajst-32559	93	40	entries	entry	NOUN
ajst-32559	93	41	.	.	PUNCT
ajst-32559	94	1	the	the	DET
ajst-32559	94	2	data	datum	NOUN
ajst-32559	94	3	exhibited	exhibit	VERB
ajst-32559	94	4	a	a	DET
ajst-32559	94	5	semi	semi	ADJ
ajst-32559	94	6	-	-	ADJ
ajst-32559	94	7	structured	structured	ADJ
ajst-32559	94	8	format	format	NOUN
ajst-32559	94	9	of	of	ADP
ajst-32559	94	10	<	<	X
ajst-32559	94	11	letter+	letter+	X
ajst-32559	94	12	number	number	NOUN
ajst-32559	94	13	>	>	PUNCT
ajst-32559	94	14	,	,	PUNCT
ajst-32559	94	15	which	which	PRON
ajst-32559	94	16	posed	pose	VERB
ajst-32559	94	17	considerable	considerable	ADJ
ajst-32559	94	18	challenges	challenge	NOUN
ajst-32559	94	19	for	for	ADP
ajst-32559	94	20	imputation	imputation	NOUN
ajst-32559	94	21	.	.	PUNCT
ajst-32559	95	1	in	in	ADP
ajst-32559	95	2	theory	theory	NOUN
ajst-32559	95	3	,	,	PUNCT
ajst-32559	95	4	imputing	impute	VERB
ajst-32559	95	5	missing	miss	VERB
ajst-32559	95	6	cabin	cabin	NOUN
ajst-32559	95	7	values	value	NOUN
ajst-32559	95	8	was	be	AUX
ajst-32559	95	9	highly	highly	ADV
ajst-32559	95	10	problematic	problematic	ADJ
ajst-32559	95	11	due	due	ADP
ajst-32559	95	12	to	to	ADP
ajst-32559	95	13	the	the	DET
ajst-32559	95	14	lack	lack	NOUN
ajst-32559	95	15	of	of	ADP
ajst-32559	95	16	sufficient	sufficient	ADJ
ajst-32559	95	17	ground	ground	NOUN
ajst-32559	95	18	truth	truth	NOUN
ajst-32559	95	19	,	,	PUNCT
ajst-32559	95	20	which	which	PRON
ajst-32559	95	21	limited	limit	VERB
ajst-32559	95	22	the	the	DET
ajst-32559	95	23	capacity	capacity	NOUN
ajst-32559	95	24	of	of	ADP
ajst-32559	95	25	statistical	statistical	ADJ
ajst-32559	95	26	models	model	NOUN
ajst-32559	95	27	to	to	PART
ajst-32559	95	28	learn	learn	VERB
ajst-32559	95	29	reliable	reliable	ADJ
ajst-32559	95	30	patterns	pattern	NOUN
ajst-32559	95	31	.	.	PUNCT
ajst-32559	96	1	furthermore	furthermore	ADV
ajst-32559	96	2	,	,	PUNCT
ajst-32559	96	3	the	the	DET
ajst-32559	96	4	distribution	distribution	NOUN
ajst-32559	96	5	of	of	ADP
ajst-32559	96	6	cabin	cabin	NOUN
ajst-32559	96	7	data	datum	NOUN
ajst-32559	96	8	was	be	AUX
ajst-32559	96	9	uneven	uneven	ADJ
ajst-32559	96	10	across	across	ADP
ajst-32559	96	11	passenger	passenger	NOUN
ajst-32559	96	12	classes	class	NOUN
ajst-32559	96	13	:	:	PUNCT
ajst-32559	96	14	first	first	ADJ
ajst-32559	96	15	-	-	PUNCT
ajst-32559	96	16	class	class	NOUN
ajst-32559	96	17	passengers	passenger	NOUN
ajst-32559	96	18	were	be	AUX
ajst-32559	96	19	more	more	ADV
ajst-32559	96	20	likely	likely	ADJ
ajst-32559	96	21	to	to	PART
ajst-32559	96	22	have	have	VERB
ajst-32559	96	23	recorded	record	VERB
ajst-32559	96	24	cabin	cabin	NOUN
ajst-32559	96	25	information	information	NOUN
ajst-32559	96	26	,	,	PUNCT
ajst-32559	96	27	whereas	whereas	SCONJ
ajst-32559	96	28	third	third	ADJ
ajst-32559	96	29	-	-	PUNCT
ajst-32559	96	30	class	class	NOUN
ajst-32559	96	31	passengers	passenger	NOUN
ajst-32559	96	32	were	be	AUX
ajst-32559	96	33	rarely	rarely	ADV
ajst-32559	96	34	assigned	assign	VERB
ajst-32559	96	35	cabin	cabin	NOUN
ajst-32559	96	36	identifiers	identifier	NOUN
ajst-32559	96	37	.	.	PUNCT
ajst-32559	97	1	despite	despite	SCONJ
ajst-32559	97	2	the	the	DET
ajst-32559	97	3	high	high	ADJ
ajst-32559	97	4	degree	degree	NOUN
ajst-32559	97	5	of	of	ADP
ajst-32559	97	6	uncertainty	uncertainty	NOUN
ajst-32559	97	7	and	and	CCONJ
ajst-32559	97	8	the	the	DET
ajst-32559	97	9	potential	potential	NOUN
ajst-32559	97	10	for	for	ADP
ajst-32559	97	11	bias	bias	NOUN
ajst-32559	97	12	in	in	ADP
ajst-32559	97	13	any	any	DET
ajst-32559	97	14	predictive	predictive	ADJ
ajst-32559	97	15	attempt	attempt	NOUN
ajst-32559	97	16	,	,	PUNCT
ajst-32559	97	17	we	we	PRON
ajst-32559	97	18	proceeded	proceed	VERB
ajst-32559	97	19	with	with	ADP
ajst-32559	97	20	an	an	DET
ajst-32559	97	21	imputation	imputation	NOUN
ajst-32559	97	22	strategy	strategy	NOUN
ajst-32559	97	23	.	.	PUNCT
ajst-32559	98	1	this	this	DET
ajst-32559	98	2	decision	decision	NOUN
ajst-32559	98	3	was	be	AUX
ajst-32559	98	4	informed	inform	VERB
ajst-32559	98	5	by	by	ADP
ajst-32559	98	6	the	the	DET
ajst-32559	98	7	strong	strong	ADJ
ajst-32559	98	8	association	association	NOUN
ajst-32559	98	9	between	between	ADP
ajst-32559	98	10	cabin	cabin	NOUN
ajst-32559	98	11	and	and	CCONJ
ajst-32559	98	12	several	several	ADJ
ajst-32559	98	13	other	other	ADJ
ajst-32559	98	14	variables	variable	NOUN
ajst-32559	98	15	,	,	PUNCT
ajst-32559	98	16	as	as	ADV
ajst-32559	98	17	well	well	ADV
ajst-32559	98	18	as	as	ADP
ajst-32559	98	19	the	the	DET
ajst-32559	98	20	availability	availability	NOUN
ajst-32559	98	21	of	of	ADP
ajst-32559	98	22	supplementary	supplementary	ADJ
ajst-32559	98	23	information	information	NOUN
ajst-32559	98	24	from	from	ADP
ajst-32559	98	25	external	external	ADJ
ajst-32559	98	26	sources	source	NOUN
ajst-32559	98	27	.	.	PUNCT
ajst-32559	99	1	according	accord	VERB
ajst-32559	99	2	to	to	ADP
ajst-32559	99	3	the	the	DET
ajst-32559	99	4	structural	structural	ADJ
ajst-32559	99	5	layout	layout	NOUN
ajst-32559	99	6	of	of	ADP
ajst-32559	99	7	the	the	DET
ajst-32559	99	8	titanic	titanic	ADJ
ajst-32559	99	9	,	,	PUNCT
ajst-32559	99	10	decks	deck	VERB
ajst-32559	99	11	a	a	PRON
ajst-32559	99	12	through	through	NOUN
ajst-32559	99	13	g	g	PROPN
ajst-32559	99	14	represented	represent	VERB
ajst-32559	99	15	distinct	distinct	ADJ
ajst-32559	99	16	vertical	vertical	ADJ
ajst-32559	99	17	levels	level	NOUN
ajst-32559	99	18	.	.	PUNCT
ajst-32559	100	1	the	the	DET
ajst-32559	100	2	location	location	NOUN
ajst-32559	100	3	of	of	ADP
ajst-32559	100	4	a	a	DET
ajst-32559	100	5	passenger	passenger	NOUN
ajst-32559	100	6	’s	’s	PART
ajst-32559	100	7	cabin	cabin	NOUN
ajst-32559	100	8	was	be	AUX
ajst-32559	100	9	presumed	presume	VERB
ajst-32559	100	10	to	to	PART
ajst-32559	100	11	influence	influence	VERB
ajst-32559	100	12	their	their	PRON
ajst-32559	100	13	likelihood	likelihood	NOUN
ajst-32559	100	14	of	of	ADP
ajst-32559	100	15	survival	survival	NOUN
ajst-32559	100	16	,	,	PUNCT
ajst-32559	100	17	given	give	VERB
ajst-32559	100	18	that	that	SCONJ
ajst-32559	100	19	individuals	individual	NOUN
ajst-32559	100	20	situated	situate	VERB
ajst-32559	100	21	on	on	ADP
ajst-32559	100	22	upper	upper	ADJ
ajst-32559	100	23	decks	deck	NOUN
ajst-32559	100	24	would	would	AUX
ajst-32559	100	25	have	have	AUX
ajst-32559	100	26	had	have	AUX
ajst-32559	100	27	greater	great	ADJ
ajst-32559	100	28	access	access	NOUN
ajst-32559	100	29	to	to	ADP
ajst-32559	100	30	lifeboats	lifeboat	NOUN
ajst-32559	100	31	located	locate	VERB
ajst-32559	100	32	on	on	ADP
ajst-32559	100	33	the	the	DET
ajst-32559	100	34	ship	ship	NOUN
ajst-32559	100	35	’s	’s	PART
ajst-32559	100	36	topmost	topmost	ADJ
ajst-32559	100	37	level	level	NOUN
ajst-32559	100	38	.	.	PUNCT
ajst-32559	101	1	to	to	PART
ajst-32559	101	2	obtain	obtain	VERB
ajst-32559	101	3	more	more	ADV
ajst-32559	101	4	precise	precise	ADJ
ajst-32559	101	5	information	information	NOUN
ajst-32559	101	6	,	,	PUNCT
ajst-32559	101	7	we	we	PRON
ajst-32559	101	8	consulted	consult	VERB
ajst-32559	101	9	an	an	DET
ajst-32559	101	10	academic	academic	ADJ
ajst-32559	101	11	research	research	NOUN
ajst-32559	101	12	about	about	ADP
ajst-32559	101	13	titanic	titanic	ADJ
ajst-32559	101	14	’s	’s	PART
ajst-32559	101	15	structural	structural	ADJ
ajst-32559	101	16	layout	layout	NOUN
ajst-32559	102	1	[	[	X
ajst-32559	102	2	6	6	NUM
ajst-32559	102	3	]	]	PUNCT
ajst-32559	102	4	,	,	PUNCT
ajst-32559	102	5	which	which	PRON
ajst-32559	102	6	indicated	indicate	VERB
ajst-32559	102	7	that	that	SCONJ
ajst-32559	102	8	decks	deck	VERB
ajst-32559	102	9	a	a	PRON
ajst-32559	102	10	–	–	PUNCT
ajst-32559	102	11	c	c	NOUN
ajst-32559	102	12	(	(	PUNCT
ajst-32559	102	13	sometimes	sometimes	ADV
ajst-32559	102	14	t	t	PROPN
ajst-32559	102	15	)	)	PUNCT
ajst-32559	102	16	were	be	AUX
ajst-32559	102	17	predominantly	predominantly	ADV
ajst-32559	102	18	occupied	occupy	VERB
ajst-32559	102	19	by	by	ADP
ajst-32559	102	20	firstclass	firstclass	NOUN
ajst-32559	102	21	passengers	passenger	NOUN
ajst-32559	102	22	,	,	PUNCT
ajst-32559	102	23	decks	deck	NOUN
ajst-32559	102	24	d	d	NOUN
ajst-32559	102	25	–	–	PUNCT
ajst-32559	102	26	e	e	NOUN
ajst-32559	102	27	by	by	ADP
ajst-32559	102	28	second	second	ADJ
ajst-32559	102	29	-	-	PUNCT
ajst-32559	102	30	class	class	NOUN
ajst-32559	102	31	passengers	passenger	NOUN
ajst-32559	102	32	,	,	PUNCT
ajst-32559	102	33	and	and	CCONJ
ajst-32559	102	34	decks	deck	VERB
ajst-32559	102	35	f	f	X
ajst-32559	102	36	–	–	PUNCT
ajst-32559	102	37	g	g	NOUN
ajst-32559	102	38	by	by	ADP
ajst-32559	102	39	third	third	ADJ
ajst-32559	102	40	-	-	PUNCT
ajst-32559	102	41	class	class	NOUN
ajst-32559	102	42	passengers	passenger	NOUN
ajst-32559	102	43	.	.	PUNCT
ajst-32559	103	1	although	although	SCONJ
ajst-32559	103	2	detailed	detailed	ADJ
ajst-32559	103	3	cabin	cabin	NOUN
ajst-32559	103	4	-	-	PUNCT
ajst-32559	103	5	passenger	passenger	NOUN
ajst-32559	103	6	mappings	mapping	NOUN
ajst-32559	103	7	were	be	AUX
ajst-32559	103	8	available	available	ADJ
ajst-32559	103	9	online	online	ADV
ajst-32559	103	10	,	,	PUNCT
ajst-32559	103	11	the	the	DET
ajst-32559	103	12	process	process	NOUN
ajst-32559	103	13	of	of	ADP
ajst-32559	103	14	importing	import	VERB
ajst-32559	103	15	and	and	CCONJ
ajst-32559	103	16	aligning	align	VERB
ajst-32559	103	17	these	these	DET
ajst-32559	103	18	records	record	NOUN
ajst-32559	103	19	with	with	ADP
ajst-32559	103	20	our	our	PRON
ajst-32559	103	21	existing	exist	VERB
ajst-32559	103	22	dataset	dataset	NOUN
ajst-32559	103	23	proved	prove	VERB
ajst-32559	103	24	to	to	PART
ajst-32559	103	25	be	be	AUX
ajst-32559	103	26	both	both	CCONJ
ajst-32559	103	27	complex	complex	ADJ
ajst-32559	103	28	and	and	CCONJ
ajst-32559	103	29	redundant	redundant	ADJ
ajst-32559	103	30	.	.	PUNCT
ajst-32559	104	1	consequently	consequently	ADV
ajst-32559	104	2	,	,	PUNCT
ajst-32559	104	3	we	we	PRON
ajst-32559	104	4	opted	opt	VERB
ajst-32559	104	5	to	to	PART
ajst-32559	104	6	simplify	simplify	VERB
ajst-32559	104	7	the	the	DET
ajst-32559	104	8	cabin	cabin	NOUN
ajst-32559	104	9	variable	variable	NOUN
ajst-32559	104	10	by	by	ADP
ajst-32559	104	11	extracting	extract	VERB
ajst-32559	104	12	the	the	DET
ajst-32559	104	13	deck	deck	NOUN
ajst-32559	104	14	letter	letter	NOUN
ajst-32559	104	15	and	and	CCONJ
ajst-32559	104	16	discarding	discard	VERB
ajst-32559	104	17	the	the	DET
ajst-32559	104	18	numerical	numerical	ADJ
ajst-32559	104	19	component	component	NOUN
ajst-32559	104	20	,	,	PUNCT
ajst-32559	104	21	thereby	thereby	ADV
ajst-32559	104	22	creating	create	VERB
ajst-32559	104	23	a	a	DET
ajst-32559	104	24	new	new	ADJ
ajst-32559	104	25	categorical	categorical	ADJ
ajst-32559	104	26	variable	variable	NOUN
ajst-32559	104	27	named	name	VERB
ajst-32559	104	28	cabinletter	cabinletter	NOUN
ajst-32559	104	29	.	.	PUNCT
ajst-32559	105	1	with	with	ADP
ajst-32559	105	2	respect	respect	NOUN
ajst-32559	105	3	to	to	ADP
ajst-32559	105	4	the	the	DET
ajst-32559	105	5	missing	miss	VERB
ajst-32559	105	6	values	value	NOUN
ajst-32559	105	7	,	,	PUNCT
ajst-32559	105	8	we	we	PRON
ajst-32559	105	9	reiterated	reiterate	VERB
ajst-32559	105	10	that	that	SCONJ
ajst-32559	105	11	deck	deck	NOUN
ajst-32559	105	12	assignment	assignment	NOUN
ajst-32559	105	13	was	be	AUX
ajst-32559	105	14	strongly	strongly	ADV
ajst-32559	105	15	correlated	correlate	VERB
ajst-32559	105	16	with	with	ADP
ajst-32559	105	17	pclass	pclass	NOUN
ajst-32559	105	18	.	.	PUNCT
ajst-32559	106	1	additional	additional	ADJ
ajst-32559	106	2	indicators	indicator	NOUN
ajst-32559	106	3	—	—	PUNCT
ajst-32559	106	4	such	such	ADJ
ajst-32559	106	5	as	as	ADP
ajst-32559	106	6	fare	fare	NOUN
ajst-32559	106	7	,	,	PUNCT
ajst-32559	106	8	ticket	ticket	NOUN
ajst-32559	106	9	,	,	PUNCT
ajst-32559	106	10	and	and	CCONJ
ajst-32559	106	11	other	other	ADJ
ajst-32559	106	12	contextual	contextual	ADJ
ajst-32559	106	13	variables	variable	NOUN
ajst-32559	106	14	—	—	PUNCT
ajst-32559	106	15	also	also	ADV
ajst-32559	106	16	provided	provide	VERB
ajst-32559	106	17	clues	clue	NOUN
ajst-32559	106	18	regarding	regard	VERB
ajst-32559	106	19	the	the	DET
ajst-32559	106	20	probable	probable	ADJ
ajst-32559	106	21	deck	deck	NOUN
ajst-32559	106	22	on	on	ADP
ajst-32559	106	23	which	which	PRON
ajst-32559	106	24	a	a	DET
ajst-32559	106	25	passenger	passenger	NOUN
ajst-32559	106	26	may	may	AUX
ajst-32559	106	27	have	have	AUX
ajst-32559	106	28	been	be	AUX
ajst-32559	106	29	located	locate	VERB
ajst-32559	106	30	.	.	PUNCT
ajst-32559	107	1	these	these	DET
ajst-32559	107	2	factors	factor	NOUN
ajst-32559	107	3	were	be	AUX
ajst-32559	107	4	explored	explore	VERB
ajst-32559	107	5	in	in	ADP
ajst-32559	107	6	subsequent	subsequent	ADJ
ajst-32559	107	7	sections	section	NOUN
ajst-32559	107	8	.	.	PUNCT
ajst-32559	108	1	figure	figure	VERB
ajst-32559	108	2	7	7	NUM
ajst-32559	108	3	.	.	PUNCT
ajst-32559	109	1	distribution	distribution	NOUN
ajst-32559	109	2	of	of	ADP
ajst-32559	109	3	cabin	cabin	NOUN
ajst-32559	109	4	letter	letter	NOUN
ajst-32559	109	5	grouped	group	VERB
ajst-32559	109	6	by	by	ADP
ajst-32559	109	7	passenger	passenger	NOUN
ajst-32559	109	8	class	class	NOUN
ajst-32559	109	9	we	we	PRON
ajst-32559	109	10	plotted	plot	VERB
ajst-32559	109	11	a	a	DET
ajst-32559	109	12	bar	bar	NOUN
ajst-32559	109	13	graph	graph	NOUN
ajst-32559	109	14	(	(	PUNCT
ajst-32559	109	15	figure	figure	NOUN
ajst-32559	109	16	7	7	NUM
ajst-32559	109	17	)	)	PUNCT
ajst-32559	109	18	to	to	PART
ajst-32559	109	19	illustrate	illustrate	VERB
ajst-32559	109	20	the	the	DET
ajst-32559	109	21	proportion	proportion	NOUN
ajst-32559	109	22	of	of	ADP
ajst-32559	109	23	each	each	DET
ajst-32559	109	24	deck	deck	NOUN
ajst-32559	109	25	level	level	NOUN
ajst-32559	109	26	across	across	ADP
ajst-32559	109	27	the	the	DET
ajst-32559	109	28	three	three	NUM
ajst-32559	109	29	passenger	passenger	NOUN
ajst-32559	109	30	classes	class	NOUN
ajst-32559	109	31	.	.	PUNCT
ajst-32559	110	1	it	it	PRON
ajst-32559	110	2	revealed	reveal	VERB
ajst-32559	110	3	that	that	SCONJ
ajst-32559	110	4	first	first	ADJ
ajst-32559	110	5	-	-	PUNCT
ajst-32559	110	6	class	class	NOUN
ajst-32559	110	7	passengers	passenger	NOUN
ajst-32559	110	8	mainly	mainly	ADV
ajst-32559	110	9	resided	reside	VERB
ajst-32559	110	10	on	on	ADP
ajst-32559	110	11	decks	deck	NOUN
ajst-32559	110	12	a	a	DET
ajst-32559	110	13	–	–	PUNCT
ajst-32559	110	14	e	e	NOUN
ajst-32559	110	15	,	,	PUNCT
ajst-32559	110	16	second	second	ADJ
ajst-32559	110	17	-	-	PUNCT
ajst-32559	110	18	class	class	NOUN
ajst-32559	110	19	passengers	passenger	NOUN
ajst-32559	110	20	on	on	ADP
ajst-32559	110	21	decks	deck	NOUN
ajst-32559	110	22	d	d	PROPN
ajst-32559	110	23	–	–	PUNCT
ajst-32559	110	24	f	f	NOUN
ajst-32559	110	25	,	,	PUNCT
ajst-32559	110	26	and	and	CCONJ
ajst-32559	110	27	third	third	ADJ
ajst-32559	110	28	-	-	PUNCT
ajst-32559	110	29	class	class	NOUN
ajst-32559	110	30	passengers	passenger	NOUN
ajst-32559	110	31	on	on	ADP
ajst-32559	110	32	decks	deck	NOUN
ajst-32559	110	33	e	e	PROPN
ajst-32559	110	34	–	–	PUNCT
ajst-32559	110	35	g.	g.	NOUN
ajst-32559	110	36	subsequently	subsequently	ADV
ajst-32559	110	37	,	,	PUNCT
ajst-32559	110	38	we	we	PRON
ajst-32559	110	39	conducted	conduct	VERB
ajst-32559	110	40	a	a	DET
ajst-32559	110	41	chi	chi	ADJ
ajst-32559	110	42	-	-	PUNCT
ajst-32559	110	43	square	square	ADJ
ajst-32559	110	44	test	test	NOUN
ajst-32559	110	45	to	to	PART
ajst-32559	110	46	evaluate	evaluate	VERB
ajst-32559	110	47	whether	whether	SCONJ
ajst-32559	110	48	pclass	pclass	NOUN
ajst-32559	110	49	and	and	CCONJ
ajst-32559	110	50	cabinletter	cabinletter	NOUN
ajst-32559	110	51	were	be	AUX
ajst-32559	110	52	statistically	statistically	ADV
ajst-32559	110	53	independent	independent	ADJ
ajst-32559	110	54	.	.	PUNCT
ajst-32559	111	1	null	null	ADJ
ajst-32559	111	2	hypothesis	hypothesis	NOUN
ajst-32559	111	3	(	(	PUNCT
ajst-32559	111	4	h₀	h₀	NOUN
ajst-32559	111	5	):	):	PUNCT
ajst-32559	111	6	the	the	DET
ajst-32559	111	7	variables	variable	NOUN
ajst-32559	111	8	are	be	AUX
ajst-32559	111	9	independent	independent	ADJ
ajst-32559	111	10	(	(	PUNCT
ajst-32559	111	11	pclass	pclass	NOUN
ajst-32559	111	12	does	do	AUX
ajst-32559	111	13	n’t	not	PART
ajst-32559	111	14	influence	influence	VERB
ajst-32559	111	15	cabin	cabin	NOUN
ajst-32559	111	16	assignment	assignment	NOUN
ajst-32559	111	17	)	)	PUNCT
ajst-32559	111	18	alternative	alternative	ADJ
ajst-32559	111	19	hypothesis	hypothesis	NOUN
ajst-32559	111	20	(	(	PUNCT
ajst-32559	111	21	h₁	h₁	NOUN
ajst-32559	111	22	):	):	PUNCT
ajst-32559	111	23	the	the	DET
ajst-32559	111	24	variables	variable	NOUN
ajst-32559	111	25	are	be	AUX
ajst-32559	111	26	related	relate	VERB
ajst-32559	111	27	(	(	PUNCT
ajst-32559	111	28	pclass	pclass	NOUN
ajst-32559	111	29	does	do	AUX
ajst-32559	111	30	influence	influence	NOUN
ajst-32559	111	31	cabin	cabin	NOUN
ajst-32559	111	32	location	location	NOUN
ajst-32559	111	33	.	.	PUNCT
ajst-32559	111	34	)	)	PUNCT
ajst-32559	112	1	the	the	DET
ajst-32559	112	2	chi	chi	ADJ
ajst-32559	112	3	-	-	PUNCT
ajst-32559	112	4	square	square	ADJ
ajst-32559	112	5	test	test	NOUN
ajst-32559	112	6	yielded	yield	VERB
ajst-32559	112	7	a	a	DET
ajst-32559	112	8	p	p	NOUN
ajst-32559	112	9	-	-	PUNCT
ajst-32559	112	10	value	value	NOUN
ajst-32559	112	11	of	of	ADP
ajst-32559	112	12	2.2e-16	2.2e-16	PROPN
ajst-32559	112	13	,	,	PUNCT
ajst-32559	112	14	which	which	PRON
ajst-32559	112	15	was	be	AUX
ajst-32559	112	16	significantly	significantly	ADV
ajst-32559	112	17	smaller	small	ADJ
ajst-32559	112	18	than	than	ADP
ajst-32559	112	19	the	the	DET
ajst-32559	112	20	significance	significance	NOUN
ajst-32559	112	21	level	level	NOUN
ajst-32559	112	22	of	of	ADP
ajst-32559	112	23	0.05	0.05	NUM
ajst-32559	112	24	,	,	PUNCT
ajst-32559	112	25	indicating	indicate	VERB
ajst-32559	112	26	a	a	DET
ajst-32559	112	27	strong	strong	ADJ
ajst-32559	112	28	statistical	statistical	ADJ
ajst-32559	112	29	association	association	NOUN
ajst-32559	112	30	between	between	ADP
ajst-32559	112	31	pclass	pclass	NOUN
ajst-32559	112	32	and	and	CCONJ
ajst-32559	112	33	cabinletter	cabinletter	NOUN
ajst-32559	112	34	150	150	NUM
ajst-32559	112	35	(	(	PUNCT
ajst-32559	112	36	h₀	h₀	PROPN
ajst-32559	112	37	was	be	AUX
ajst-32559	112	38	rejected	reject	VERB
ajst-32559	112	39	)	)	PUNCT
ajst-32559	112	40	.	.	PUNCT
ajst-32559	113	1	we	we	PRON
ajst-32559	113	2	subsequently	subsequently	ADV
ajst-32559	113	3	calculated	calculate	VERB
ajst-32559	113	4	the	the	DET
ajst-32559	113	5	distribution	distribution	NOUN
ajst-32559	113	6	of	of	ADP
ajst-32559	113	7	cabinletter	cabinletter	NOUN
ajst-32559	113	8	for	for	ADP
ajst-32559	113	9	each	each	DET
ajst-32559	113	10	pclass	pclass	NOUN
ajst-32559	113	11	and	and	CCONJ
ajst-32559	113	12	imputed	impute	VERB
ajst-32559	113	13	missing	missing	ADJ
ajst-32559	113	14	values	value	NOUN
ajst-32559	113	15	by	by	ADP
ajst-32559	113	16	sampling	sample	VERB
ajst-32559	113	17	from	from	ADP
ajst-32559	113	18	the	the	DET
ajst-32559	113	19	respective	respective	ADJ
ajst-32559	113	20	distributions	distribution	NOUN
ajst-32559	113	21	.	.	PUNCT
ajst-32559	114	1	during	during	ADP
ajst-32559	114	2	this	this	DET
ajst-32559	114	3	process	process	NOUN
ajst-32559	114	4	,	,	PUNCT
ajst-32559	114	5	we	we	PRON
ajst-32559	114	6	observed	observe	VERB
ajst-32559	114	7	that	that	SCONJ
ajst-32559	114	8	certain	certain	ADJ
ajst-32559	114	9	entries	entry	NOUN
ajst-32559	114	10	in	in	ADP
ajst-32559	114	11	the	the	DET
ajst-32559	114	12	cabin	cabin	NOUN
ajst-32559	114	13	column	column	NOUN
ajst-32559	114	14	contained	contain	VERB
ajst-32559	114	15	multiple	multiple	ADJ
ajst-32559	114	16	cabin	cabin	NOUN
ajst-32559	114	17	identifiers	identifier	NOUN
ajst-32559	114	18	.	.	PUNCT
ajst-32559	115	1	for	for	ADP
ajst-32559	115	2	instance	instance	NOUN
ajst-32559	115	3	,	,	PUNCT
ajst-32559	115	4	miss	miss	VERB
ajst-32559	115	5	mabel	mabel	PROPN
ajst-32559	115	6	helen	helen	PROPN
ajst-32559	115	7	fortune	fortune	PROPN
ajst-32559	115	8	was	be	AUX
ajst-32559	115	9	assigned	assign	VERB
ajst-32559	115	10	cabins	cabins	PROPN
ajst-32559	115	11	c23	c23	PROPN
ajst-32559	115	12	,	,	PUNCT
ajst-32559	115	13	c25	c25	PROPN
ajst-32559	115	14	,	,	PUNCT
ajst-32559	115	15	and	and	CCONJ
ajst-32559	115	16	c27	c27	PROPN
ajst-32559	115	17	.	.	PUNCT
ajst-32559	116	1	we	we	PRON
ajst-32559	116	2	also	also	ADV
ajst-32559	116	3	noted	note	VERB
ajst-32559	116	4	that	that	SCONJ
ajst-32559	116	5	she	she	PRON
ajst-32559	116	6	had	have	VERB
ajst-32559	116	7	three	three	NUM
ajst-32559	116	8	siblings	sibling	NOUN
ajst-32559	116	9	and	and	CCONJ
ajst-32559	116	10	two	two	NUM
ajst-32559	116	11	parents	parent	NOUN
ajst-32559	116	12	recorded	record	VERB
ajst-32559	116	13	,	,	PUNCT
ajst-32559	116	14	all	all	PRON
ajst-32559	116	15	of	of	ADP
ajst-32559	116	16	whom	whom	PRON
ajst-32559	116	17	shared	share	VERB
ajst-32559	116	18	the	the	DET
ajst-32559	116	19	same	same	ADJ
ajst-32559	116	20	cabin	cabin	NOUN
ajst-32559	116	21	,	,	PUNCT
ajst-32559	116	22	fare	fare	NOUN
ajst-32559	116	23	,	,	PUNCT
ajst-32559	116	24	and	and	CCONJ
ajst-32559	116	25	ticket	ticket	NOUN
ajst-32559	116	26	number	number	NOUN
ajst-32559	116	27	.	.	PUNCT
ajst-32559	117	1	similarly	similarly	ADV
ajst-32559	117	2	,	,	PUNCT
ajst-32559	117	3	miss	miss	VERB
ajst-32559	117	4	amelie	amelie	PROPN
ajst-32559	117	5	icard	icard	PROPN
ajst-32559	117	6	and	and	CCONJ
ajst-32559	117	7	mrs	mrs	PROPN
ajst-32559	117	8	.	.	PROPN
ajst-32559	117	9	george	george	PROPN
ajst-32559	117	10	nelson	nelson	PROPN
ajst-32559	117	11	stone	stone	PROPN
ajst-32559	117	12	,	,	PUNCT
ajst-32559	117	13	who	who	PRON
ajst-32559	117	14	were	be	AUX
ajst-32559	117	15	individual	individual	ADJ
ajst-32559	117	16	passengers	passenger	NOUN
ajst-32559	117	17	,	,	PUNCT
ajst-32559	117	18	shared	share	VERB
ajst-32559	117	19	the	the	DET
ajst-32559	117	20	same	same	ADJ
ajst-32559	117	21	cabin	cabin	NOUN
ajst-32559	117	22	despite	despite	SCONJ
ajst-32559	117	23	having	have	VERB
ajst-32559	117	24	no	no	DET
ajst-32559	117	25	familial	familial	ADJ
ajst-32559	117	26	ties	tie	NOUN
ajst-32559	117	27	,	,	PUNCT
ajst-32559	117	28	but	but	CCONJ
ajst-32559	117	29	identical	identical	ADJ
ajst-32559	117	30	ticket	ticket	NOUN
ajst-32559	117	31	,	,	PUNCT
ajst-32559	117	32	fare	fare	NOUN
ajst-32559	117	33	,	,	PUNCT
ajst-32559	117	34	and	and	CCONJ
ajst-32559	117	35	embarkation	embarkation	NOUN
ajst-32559	117	36	values	value	NOUN
ajst-32559	117	37	.	.	PUNCT
ajst-32559	118	1	these	these	DET
ajst-32559	118	2	findings	finding	NOUN
ajst-32559	118	3	suggested	suggest	VERB
ajst-32559	118	4	that	that	SCONJ
ajst-32559	118	5	passengers	passenger	NOUN
ajst-32559	118	6	with	with	ADP
ajst-32559	118	7	common	common	ADJ
ajst-32559	118	8	surname	surname	NOUN
ajst-32559	118	9	,	,	PUNCT
ajst-32559	118	10	parch	parch	NOUN
ajst-32559	118	11	,	,	PUNCT
ajst-32559	118	12	sibsp	sibsp	NOUN
ajst-32559	118	13	,	,	PUNCT
ajst-32559	118	14	ticket	ticket	NOUN
ajst-32559	118	15	,	,	PUNCT
ajst-32559	118	16	and	and	CCONJ
ajst-32559	118	17	fare	fare	NOUN
ajst-32559	118	18	were	be	AUX
ajst-32559	118	19	likely	likely	ADJ
ajst-32559	118	20	to	to	PART
ajst-32559	118	21	reside	reside	VERB
ajst-32559	118	22	on	on	ADP
ajst-32559	118	23	the	the	DET
ajst-32559	118	24	same	same	ADJ
ajst-32559	118	25	deck	deck	NOUN
ajst-32559	118	26	level	level	NOUN
ajst-32559	118	27	.	.	PUNCT
ajst-32559	119	1	this	this	DET
ajst-32559	119	2	rationale	rationale	NOUN
ajst-32559	119	3	was	be	AUX
ajst-32559	119	4	used	use	VERB
ajst-32559	119	5	to	to	PART
ajst-32559	119	6	refine	refine	VERB
ajst-32559	119	7	the	the	DET
ajst-32559	119	8	previously	previously	ADV
ajst-32559	119	9	imputed	impute	VERB
ajst-32559	119	10	values	value	NOUN
ajst-32559	119	11	.	.	PUNCT
ajst-32559	120	1	however	however	ADV
ajst-32559	120	2	,	,	PUNCT
ajst-32559	120	3	the	the	DET
ajst-32559	120	4	number	number	NOUN
ajst-32559	120	5	of	of	ADP
ajst-32559	120	6	secondand	secondand	NOUN
ajst-32559	120	7	third	third	ADJ
ajst-32559	120	8	-	-	PUNCT
ajst-32559	120	9	class	class	NOUN
ajst-32559	120	10	passengers	passenger	NOUN
ajst-32559	120	11	with	with	ADP
ajst-32559	120	12	recorded	recorded	ADJ
ajst-32559	120	13	cabin	cabin	NOUN
ajst-32559	120	14	information	information	NOUN
ajst-32559	120	15	was	be	AUX
ajst-32559	120	16	limited	limit	VERB
ajst-32559	120	17	,	,	PUNCT
ajst-32559	120	18	introducing	introduce	VERB
ajst-32559	120	19	potential	potential	ADJ
ajst-32559	120	20	randomness	randomness	NOUN
ajst-32559	120	21	and	and	CCONJ
ajst-32559	120	22	bias	bias	NOUN
ajst-32559	120	23	into	into	ADP
ajst-32559	120	24	the	the	DET
ajst-32559	120	25	predictions	prediction	NOUN
ajst-32559	120	26	.	.	PUNCT
ajst-32559	121	1	the	the	DET
ajst-32559	121	2	actual	actual	ADJ
ajst-32559	121	3	number	number	NOUN
ajst-32559	121	4	of	of	ADP
ajst-32559	121	5	passengers	passenger	NOUN
ajst-32559	121	6	assigned	assign	VERB
ajst-32559	121	7	to	to	ADP
ajst-32559	121	8	cabins	cabins	PROPN
ajst-32559	121	9	f	f	PROPN
ajst-32559	121	10	and	and	CCONJ
ajst-32559	121	11	g	g	PROPN
ajst-32559	121	12	was	be	AUX
ajst-32559	121	13	574	574	NUM
ajst-32559	121	14	and	and	CCONJ
ajst-32559	121	15	172	172	NUM
ajst-32559	121	16	,	,	PUNCT
ajst-32559	121	17	respectively	respectively	ADV
ajst-32559	121	18	,	,	PUNCT
ajst-32559	121	19	revealing	reveal	VERB
ajst-32559	121	20	substantial	substantial	ADJ
ajst-32559	121	21	error	error	NOUN
ajst-32559	121	22	in	in	ADP
ajst-32559	121	23	the	the	DET
ajst-32559	121	24	initial	initial	ADJ
ajst-32559	121	25	predictions	prediction	NOUN
ajst-32559	121	26	.	.	PUNCT
ajst-32559	122	1	to	to	PART
ajst-32559	122	2	improve	improve	VERB
ajst-32559	122	3	accuracy	accuracy	NOUN
ajst-32559	122	4	,	,	PUNCT
ajst-32559	122	5	we	we	PRON
ajst-32559	122	6	experimented	experiment	VERB
ajst-32559	122	7	with	with	ADP
ajst-32559	122	8	two	two	NUM
ajst-32559	122	9	additional	additional	ADJ
ajst-32559	122	10	methods	method	NOUN
ajst-32559	122	11	:	:	PUNCT
ajst-32559	122	12	a	a	DET
ajst-32559	122	13	constraint	constraint	NOUN
ajst-32559	122	14	-	-	PUNCT
ajst-32559	122	15	based	base	VERB
ajst-32559	122	16	cabin	cabin	NOUN
ajst-32559	122	17	assignment	assignment	NOUN
ajst-32559	122	18	model	model	NOUN
ajst-32559	122	19	in	in	ADP
ajst-32559	122	20	r	r	NOUN
ajst-32559	122	21	using	use	VERB
ajst-32559	122	22	linear	linear	ADJ
ajst-32559	122	23	programming	programming	NOUN
ajst-32559	122	24	,	,	PUNCT
ajst-32559	122	25	and	and	CCONJ
ajst-32559	122	26	a	a	DET
ajst-32559	122	27	multinomial	multinomial	ADJ
ajst-32559	122	28	logistic	logistic	ADJ
ajst-32559	122	29	regression	regression	NOUN
ajst-32559	122	30	model	model	NOUN
ajst-32559	122	31	incorporating	incorporate	VERB
ajst-32559	122	32	variables	variable	NOUN
ajst-32559	122	33	such	such	ADJ
ajst-32559	122	34	as	as	ADP
ajst-32559	122	35	embarked	embarked	ADJ
ajst-32559	122	36	,	,	PUNCT
ajst-32559	122	37	fare	fare	NOUN
ajst-32559	122	38	,	,	PUNCT
ajst-32559	122	39	sex	sex	NOUN
ajst-32559	122	40	,	,	PUNCT
ajst-32559	122	41	and	and	CCONJ
ajst-32559	122	42	age	age	NOUN
ajst-32559	122	43	.	.	PUNCT
ajst-32559	123	1	both	both	DET
ajst-32559	123	2	approaches	approach	NOUN
ajst-32559	123	3	produced	produce	VERB
ajst-32559	123	4	unsatisfactory	unsatisfactory	ADJ
ajst-32559	123	5	results	result	NOUN
ajst-32559	123	6	that	that	PRON
ajst-32559	123	7	failed	fail	VERB
ajst-32559	123	8	to	to	PART
ajst-32559	123	9	align	align	VERB
ajst-32559	123	10	with	with	ADP
ajst-32559	123	11	real	real	ADJ
ajst-32559	123	12	-	-	PUNCT
ajst-32559	123	13	world	world	NOUN
ajst-32559	123	14	conditions	condition	NOUN
ajst-32559	123	15	.	.	PUNCT
ajst-32559	124	1	consequently	consequently	ADV
ajst-32559	124	2	,	,	PUNCT
ajst-32559	124	3	we	we	PRON
ajst-32559	124	4	compromised	compromise	VERB
ajst-32559	124	5	by	by	ADP
ajst-32559	124	6	predicting	predict	VERB
ajst-32559	124	7	cabinletter	cabinletter	NOUN
ajst-32559	124	8	within	within	ADP
ajst-32559	124	9	the	the	DET
ajst-32559	124	10	range	range	NOUN
ajst-32559	124	11	a	a	DET
ajst-32559	124	12	–	–	PUNCT
ajst-32559	124	13	g	g	NOUN
ajst-32559	124	14	,	,	PUNCT
ajst-32559	124	15	and	and	CCONJ
ajst-32559	124	16	opted	opt	VERB
ajst-32559	124	17	to	to	PART
ajst-32559	124	18	group	group	VERB
ajst-32559	124	19	certain	certain	ADJ
ajst-32559	124	20	deck	deck	NOUN
ajst-32559	124	21	levels	level	NOUN
ajst-32559	124	22	to	to	PART
ajst-32559	124	23	enhance	enhance	VERB
ajst-32559	124	24	data	data	NOUN
ajst-32559	124	25	stability	stability	NOUN
ajst-32559	124	26	and	and	CCONJ
ajst-32559	124	27	precision	precision	NOUN
ajst-32559	124	28	.	.	PUNCT
ajst-32559	125	1	based	base	VERB
ajst-32559	125	2	on	on	ADP
ajst-32559	125	3	the	the	DET
ajst-32559	125	4	cabinletter	cabinletter	ADJ
ajst-32559	125	5	distribution	distribution	NOUN
ajst-32559	125	6	bar	bar	NOUN
ajst-32559	125	7	graph	graph	NOUN
ajst-32559	125	8	,	,	PUNCT
ajst-32559	125	9	pclass	pclass	NOUN
ajst-32559	125	10	3	3	NUM
ajst-32559	125	11	passengers	passenger	NOUN
ajst-32559	125	12	were	be	AUX
ajst-32559	125	13	predominantly	predominantly	ADV
ajst-32559	125	14	assigned	assign	VERB
ajst-32559	125	15	to	to	ADP
ajst-32559	125	16	cabins	cabins	PROPN
ajst-32559	125	17	f	f	PROPN
ajst-32559	125	18	and	and	CCONJ
ajst-32559	125	19	g	g	PROPN
ajst-32559	125	20	,	,	PUNCT
ajst-32559	125	21	while	while	SCONJ
ajst-32559	125	22	pclass	pclass	NOUN
ajst-32559	125	23	2	2	NUM
ajst-32559	125	24	passengers	passenger	NOUN
ajst-32559	125	25	were	be	AUX
ajst-32559	125	26	predicted	predict	VERB
ajst-32559	125	27	to	to	PART
ajst-32559	125	28	occupy	occupy	VERB
ajst-32559	125	29	cabins	cabins	PROPN
ajst-32559	125	30	d	d	PROPN
ajst-32559	125	31	,	,	PUNCT
ajst-32559	125	32	e	e	NOUN
ajst-32559	125	33	,	,	PUNCT
ajst-32559	125	34	and	and	CCONJ
ajst-32559	125	35	f.	f.	PROPN
ajst-32559	125	36	given	give	VERB
ajst-32559	125	37	that	that	SCONJ
ajst-32559	125	38	a	a	DET
ajst-32559	125	39	substantial	substantial	ADJ
ajst-32559	125	40	portion	portion	NOUN
ajst-32559	125	41	of	of	ADP
ajst-32559	125	42	the	the	DET
ajst-32559	125	43	existing	exist	VERB
ajst-32559	125	44	cabin	cabin	NOUN
ajst-32559	125	45	data	datum	NOUN
ajst-32559	125	46	pertained	pertain	VERB
ajst-32559	125	47	to	to	PART
ajst-32559	125	48	pclass	pclass	VERB
ajst-32559	125	49	1	1	NUM
ajst-32559	125	50	passengers	passenger	NOUN
ajst-32559	125	51	,	,	PUNCT
ajst-32559	125	52	the	the	DET
ajst-32559	125	53	cabin	cabin	NOUN
ajst-32559	125	54	distribution	distribution	NOUN
ajst-32559	125	55	for	for	ADP
ajst-32559	125	56	this	this	DET
ajst-32559	125	57	group	group	NOUN
ajst-32559	125	58	,	,	PUNCT
ajst-32559	125	59	as	as	SCONJ
ajst-32559	125	60	derived	derive	VERB
ajst-32559	125	61	from	from	ADP
ajst-32559	125	62	the	the	DET
ajst-32559	125	63	bar	bar	NOUN
ajst-32559	125	64	graph	graph	NOUN
ajst-32559	125	65	,	,	PUNCT
ajst-32559	125	66	was	be	AUX
ajst-32559	125	67	considered	consider	VERB
ajst-32559	125	68	relatively	relatively	ADV
ajst-32559	125	69	reliable	reliable	ADJ
ajst-32559	125	70	.	.	PUNCT
ajst-32559	126	1	figure	figure	NOUN
ajst-32559	126	2	8	8	NUM
ajst-32559	126	3	.	.	PUNCT
ajst-32559	126	4	titanic	titanic	PROPN
ajst-32559	126	5	cutaway	cutaway	PROPN
ajst-32559	126	6	diagram	diagram	NOUN
ajst-32559	127	1	[	[	X
ajst-32559	127	2	7	7	X
ajst-32559	127	3	]	]	PUNCT
ajst-32559	127	4	accordingly	accordingly	ADV
ajst-32559	127	5	,	,	PUNCT
ajst-32559	127	6	we	we	PRON
ajst-32559	127	7	created	create	VERB
ajst-32559	127	8	a	a	DET
ajst-32559	127	9	new	new	ADJ
ajst-32559	127	10	variable	variable	NOUN
ajst-32559	127	11	that	that	PRON
ajst-32559	127	12	categorized	categorize	VERB
ajst-32559	127	13	cabins	cabins	PROPN
ajst-32559	127	14	a	a	DET
ajst-32559	127	15	–	–	PUNCT
ajst-32559	127	16	g	g	NOUN
ajst-32559	127	17	into	into	ADP
ajst-32559	127	18	three	three	NUM
ajst-32559	127	19	cabin	cabin	NOUN
ajst-32559	127	20	levels	level	NOUN
ajst-32559	127	21	:	:	PUNCT
ajst-32559	127	22	(	(	PUNCT
ajst-32559	127	23	t)a	t)a	X
ajst-32559	127	24	–	–	PUNCT
ajst-32559	127	25	c	c	X
ajst-32559	127	26	,	,	PUNCT
ajst-32559	127	27	d	d	PROPN
ajst-32559	127	28	–	–	PUNCT
ajst-32559	127	29	e	e	NOUN
ajst-32559	127	30	,	,	PUNCT
ajst-32559	127	31	and	and	CCONJ
ajst-32559	127	32	f	f	X
ajst-32559	127	33	–	–	PUNCT
ajst-32559	127	34	g	g	NOUN
ajst-32559	127	35	,	,	PUNCT
ajst-32559	127	36	which	which	PRON
ajst-32559	127	37	we	we	PRON
ajst-32559	127	38	designated	designate	VERB
ajst-32559	127	39	as	as	ADP
ajst-32559	127	40	l1	l1	PROPN
ajst-32559	127	41	,	,	PUNCT
ajst-32559	127	42	l2	l2	NOUN
ajst-32559	127	43	,	,	PUNCT
ajst-32559	127	44	and	and	CCONJ
ajst-32559	127	45	l3	l3	NOUN
ajst-32559	127	46	,	,	PUNCT
ajst-32559	127	47	respectively	respectively	ADV
ajst-32559	127	48	(	(	PUNCT
ajst-32559	127	49	figure	figure	NOUN
ajst-32559	127	50	8)	8)	NUM
ajst-32559	127	51	.	.	PUNCT
ajst-32559	128	1	it	it	PRON
ajst-32559	128	2	was	be	AUX
ajst-32559	128	3	evident	evident	ADJ
ajst-32559	128	4	that	that	SCONJ
ajst-32559	128	5	all	all	DET
ajst-32559	128	6	pclass	pclass	NOUN
ajst-32559	128	7	3	3	NUM
ajst-32559	128	8	passengers	passenger	NOUN
ajst-32559	128	9	were	be	AUX
ajst-32559	128	10	assigned	assign	VERB
ajst-32559	128	11	to	to	ADP
ajst-32559	128	12	l3	l3	NOUN
ajst-32559	128	13	,	,	PUNCT
ajst-32559	128	14	and	and	CCONJ
ajst-32559	128	15	pclass	pclass	NOUN
ajst-32559	128	16	1	1	NUM
ajst-32559	128	17	passengers	passenger	NOUN
ajst-32559	128	18	could	could	AUX
ajst-32559	128	19	be	be	AUX
ajst-32559	128	20	analyzed	analyze	VERB
ajst-32559	128	21	directly	directly	ADV
ajst-32559	128	22	,	,	PUNCT
ajst-32559	128	23	as	as	SCONJ
ajst-32559	128	24	their	their	PRON
ajst-32559	128	25	cabin	cabin	NOUN
ajst-32559	128	26	distribution	distribution	NOUN
ajst-32559	128	27	was	be	AUX
ajst-32559	128	28	already	already	ADV
ajst-32559	128	29	known	know	VERB
ajst-32559	128	30	.	.	PUNCT
ajst-32559	129	1	the	the	DET
ajst-32559	129	2	cabin	cabin	NOUN
ajst-32559	129	3	level	level	NOUN
ajst-32559	129	4	for	for	ADP
ajst-32559	129	5	pclass	pclass	NOUN
ajst-32559	129	6	2	2	NUM
ajst-32559	129	7	passengers	passenger	NOUN
ajst-32559	129	8	remained	remain	VERB
ajst-32559	129	9	a	a	DET
ajst-32559	129	10	challenging	challenging	ADJ
ajst-32559	129	11	issue	issue	NOUN
ajst-32559	129	12	,	,	PUNCT
ajst-32559	129	13	as	as	SCONJ
ajst-32559	129	14	it	it	PRON
ajst-32559	129	15	was	be	AUX
ajst-32559	129	16	unclear	unclear	ADJ
ajst-32559	129	17	which	which	PRON
ajst-32559	129	18	individuals	individual	NOUN
ajst-32559	129	19	should	should	AUX
ajst-32559	129	20	be	be	AUX
ajst-32559	129	21	allocated	allocate	VERB
ajst-32559	129	22	to	to	ADP
ajst-32559	129	23	l3	l3	PROPN
ajst-32559	129	24	.	.	PUNCT
ajst-32559	130	1	lifeboats	lifeboat	NOUN
ajst-32559	130	2	attached	attach	VERB
ajst-32559	130	3	to	to	ADP
ajst-32559	130	4	the	the	DET
ajst-32559	130	5	topmost	topmost	ADJ
ajst-32559	130	6	deck	deck	NOUN
ajst-32559	130	7	of	of	ADP
ajst-32559	130	8	the	the	DET
ajst-32559	130	9	ship	ship	NOUN
ajst-32559	130	10	l1	l1	PROPN
ajst-32559	130	11	(	(	PUNCT
ajst-32559	130	12	cabin	cabin	NOUN
ajst-32559	130	13	t	t	PROPN
ajst-32559	130	14	,	,	PUNCT
ajst-32559	130	15	a	a	PRON
ajst-32559	130	16	,	,	PUNCT
ajst-32559	130	17	b	b	NOUN
ajst-32559	130	18	,	,	PUNCT
ajst-32559	130	19	c	c	NOUN
ajst-32559	130	20	)	)	PUNCT
ajst-32559	130	21	l2	l2	NOUN
ajst-32559	130	22	(	(	PUNCT
ajst-32559	130	23	cabin	cabin	NOUN
ajst-32559	130	24	d	d	NOUN
ajst-32559	130	25	,	,	PUNCT
ajst-32559	130	26	e	e	NOUN
ajst-32559	130	27	)	)	PUNCT
ajst-32559	130	28	l3	l3	NOUN
ajst-32559	130	29	(	(	PUNCT
ajst-32559	130	30	cabin	cabin	NOUN
ajst-32559	130	31	f	f	NOUN
ajst-32559	130	32	,	,	PUNCT
ajst-32559	130	33	g	g	NOUN
ajst-32559	130	34	)	)	PUNCT
ajst-32559	130	35	151	151	NUM
ajst-32559	130	36	after	after	ADP
ajst-32559	130	37	testing	test	VERB
ajst-32559	130	38	several	several	ADJ
ajst-32559	130	39	variables	variable	NOUN
ajst-32559	130	40	as	as	ADP
ajst-32559	130	41	potential	potential	ADJ
ajst-32559	130	42	determinants	determinant	NOUN
ajst-32559	130	43	,	,	PUNCT
ajst-32559	130	44	we	we	PRON
ajst-32559	130	45	decided	decide	VERB
ajst-32559	130	46	to	to	PART
ajst-32559	130	47	assign	assign	VERB
ajst-32559	130	48	pclass	pclass	NOUN
ajst-32559	130	49	2	2	NUM
ajst-32559	130	50	passengers	passenger	NOUN
ajst-32559	130	51	with	with	ADP
ajst-32559	130	52	the	the	DET
ajst-32559	130	53	lowest	low	ADJ
ajst-32559	130	54	fare	fare	NOUN
ajst-32559	130	55	values	value	NOUN
ajst-32559	130	56	to	to	ADP
ajst-32559	130	57	cabin	cabin	NOUN
ajst-32559	130	58	level	level	NOUN
ajst-32559	130	59	l3	l3	NOUN
ajst-32559	130	60	.	.	PUNCT
ajst-32559	131	1	given	give	VERB
ajst-32559	131	2	that	that	SCONJ
ajst-32559	131	3	there	there	PRON
ajst-32559	131	4	were	be	VERB
ajst-32559	131	5	323	323	NUM
ajst-32559	131	6	passengers	passenger	NOUN
ajst-32559	131	7	in	in	ADP
ajst-32559	131	8	first	first	ADJ
ajst-32559	131	9	class	class	NOUN
ajst-32559	131	10	,	,	PUNCT
ajst-32559	131	11	277	277	NUM
ajst-32559	131	12	in	in	ADP
ajst-32559	131	13	second	second	ADJ
ajst-32559	131	14	class	class	NOUN
ajst-32559	131	15	,	,	PUNCT
ajst-32559	131	16	and	and	CCONJ
ajst-32559	131	17	709	709	NUM
ajst-32559	131	18	in	in	ADP
ajst-32559	131	19	third	third	ADJ
ajst-32559	131	20	class	class	NOUN
ajst-32559	131	21	,	,	PUNCT
ajst-32559	131	22	and	and	CCONJ
ajst-32559	131	23	that	that	DET
ajst-32559	131	24	cabin	cabin	NOUN
ajst-32559	131	25	level	level	NOUN
ajst-32559	131	26	l3	l3	NOUN
ajst-32559	131	27	contained	contain	VERB
ajst-32559	131	28	746	746	NUM
ajst-32559	131	29	passengers	passenger	NOUN
ajst-32559	131	30	,	,	PUNCT
ajst-32559	131	31	it	it	PRON
ajst-32559	131	32	was	be	AUX
ajst-32559	131	33	inferred	infer	VERB
ajst-32559	131	34	that	that	SCONJ
ajst-32559	131	35	37	37	NUM
ajst-32559	131	36	of	of	ADP
ajst-32559	131	37	them	they	PRON
ajst-32559	131	38	originated	originate	VERB
ajst-32559	131	39	from	from	ADP
ajst-32559	131	40	pclass	pclass	NOUN
ajst-32559	131	41	2	2	NUM
ajst-32559	131	42	.	.	PUNCT
ajst-32559	132	1	we	we	PRON
ajst-32559	132	2	selected	select	VERB
ajst-32559	132	3	37	37	NUM
ajst-32559	132	4	individuals	individual	NOUN
ajst-32559	132	5	from	from	ADP
ajst-32559	132	6	pclass	pclass	NOUN
ajst-32559	132	7	2	2	NUM
ajst-32559	132	8	with	with	ADP
ajst-32559	132	9	the	the	DET
ajst-32559	132	10	lowest	low	ADJ
ajst-32559	132	11	fare	fare	NOUN
ajst-32559	132	12	and	and	CCONJ
ajst-32559	132	13	reassigned	reassign	VERB
ajst-32559	132	14	their	their	PRON
ajst-32559	132	15	cabin	cabin	NOUN
ajst-32559	132	16	level	level	NOUN
ajst-32559	132	17	to	to	ADP
ajst-32559	132	18	l3	l3	NOUN
ajst-32559	132	19	.	.	PUNCT
ajst-32559	133	1	this	this	DET
ajst-32559	133	2	approach	approach	NOUN
ajst-32559	133	3	yielded	yield	VERB
ajst-32559	133	4	a	a	DET
ajst-32559	133	5	satisfactory	satisfactory	ADJ
ajst-32559	133	6	result	result	NOUN
ajst-32559	133	7	,	,	PUNCT
ajst-32559	133	8	with	with	ADP
ajst-32559	133	9	the	the	DET
ajst-32559	133	10	final	final	ADJ
ajst-32559	133	11	distribution	distribution	NOUN
ajst-32559	133	12	being	be	AUX
ajst-32559	133	13	l1	l1	PROPN
ajst-32559	133	14	=	=	SYM
ajst-32559	133	15	234	234	NUM
ajst-32559	133	16	,	,	PUNCT
ajst-32559	133	17	l2	l2	NOUN
ajst-32559	133	18	=	=	SYM
ajst-32559	133	19	329	329	NUM
ajst-32559	133	20	,	,	PUNCT
ajst-32559	133	21	and	and	CCONJ
ajst-32559	134	1	l3	l3	PROPN
ajst-32559	134	2	=	=	SYM
ajst-32559	134	3	746	746	NUM
ajst-32559	134	4	.	.	PUNCT
ajst-32559	135	1	overall	overall	ADV
ajst-32559	135	2	,	,	PUNCT
ajst-32559	135	3	it	it	PRON
ajst-32559	135	4	represented	represent	VERB
ajst-32559	135	5	a	a	DET
ajst-32559	135	6	worthwhile	worthwhile	ADJ
ajst-32559	135	7	attempt	attempt	NOUN
ajst-32559	135	8	.	.	PUNCT
ajst-32559	136	1	3.4	3.4	NUM
ajst-32559	136	2	feature	feature	NOUN
ajst-32559	136	3	engineering	engineering	NOUN
ajst-32559	136	4	and	and	CCONJ
ajst-32559	136	5	derived	derived	ADJ
ajst-32559	136	6	variables	variable	NOUN
ajst-32559	136	7	3.4.1	3.4.1	NUM
ajst-32559	136	8	title	title	NOUN
ajst-32559	136	9	we	we	PRON
ajst-32559	136	10	observed	observe	VERB
ajst-32559	136	11	that	that	SCONJ
ajst-32559	136	12	the	the	DET
ajst-32559	136	13	names	name	NOUN
ajst-32559	136	14	in	in	ADP
ajst-32559	136	15	the	the	DET
ajst-32559	136	16	dataset	dataset	NOUN
ajst-32559	136	17	comprised	comprise	VERB
ajst-32559	136	18	multiple	multiple	ADJ
ajst-32559	136	19	components	component	NOUN
ajst-32559	136	20	,	,	PUNCT
ajst-32559	136	21	including	include	VERB
ajst-32559	136	22	first	first	ADJ
ajst-32559	136	23	name	name	NOUN
ajst-32559	136	24	,	,	PUNCT
ajst-32559	136	25	surname	surname	NOUN
ajst-32559	136	26	,	,	PUNCT
ajst-32559	136	27	and	and	CCONJ
ajst-32559	136	28	title	title	NOUN
ajst-32559	136	29	.	.	PUNCT
ajst-32559	137	1	we	we	PRON
ajst-32559	137	2	considered	consider	VERB
ajst-32559	137	3	titles	title	NOUN
ajst-32559	137	4	to	to	PART
ajst-32559	137	5	be	be	AUX
ajst-32559	137	6	a	a	DET
ajst-32559	137	7	meaningful	meaningful	ADJ
ajst-32559	137	8	indicator	indicator	NOUN
ajst-32559	137	9	for	for	ADP
ajst-32559	137	10	predicting	predict	VERB
ajst-32559	137	11	survival	survival	NOUN
ajst-32559	137	12	rate	rate	NOUN
ajst-32559	137	13	,	,	PUNCT
ajst-32559	137	14	as	as	SCONJ
ajst-32559	137	15	they	they	PRON
ajst-32559	137	16	served	serve	VERB
ajst-32559	137	17	as	as	ADP
ajst-32559	137	18	a	a	DET
ajst-32559	137	19	strong	strong	ADJ
ajst-32559	137	20	proxy	proxy	NOUN
ajst-32559	137	21	for	for	ADP
ajst-32559	137	22	social	social	ADJ
ajst-32559	137	23	status	status	NOUN
ajst-32559	137	24	,	,	PUNCT
ajst-32559	137	25	age	age	NOUN
ajst-32559	137	26	,	,	PUNCT
ajst-32559	137	27	and	and	CCONJ
ajst-32559	137	28	gender	gender	NOUN
ajst-32559	137	29	.	.	PUNCT
ajst-32559	138	1	accordingly	accordingly	ADV
ajst-32559	138	2	,	,	PUNCT
ajst-32559	138	3	we	we	PRON
ajst-32559	138	4	separated	separate	VERB
ajst-32559	138	5	the	the	DET
ajst-32559	138	6	title	title	NOUN
ajst-32559	138	7	from	from	ADP
ajst-32559	138	8	the	the	DET
ajst-32559	138	9	name	name	NOUN
ajst-32559	138	10	variable	variable	NOUN
ajst-32559	138	11	and	and	CCONJ
ajst-32559	138	12	created	create	VERB
ajst-32559	138	13	a	a	DET
ajst-32559	138	14	new	new	ADJ
ajst-32559	138	15	categorical	categorical	ADJ
ajst-32559	138	16	variable	variable	NOUN
ajst-32559	138	17	,	,	PUNCT
ajst-32559	138	18	title	title	NOUN
ajst-32559	138	19	.	.	PUNCT
ajst-32559	139	1	given	give	VERB
ajst-32559	139	2	that	that	SCONJ
ajst-32559	139	3	some	some	DET
ajst-32559	139	4	titles	title	NOUN
ajst-32559	139	5	were	be	AUX
ajst-32559	139	6	repetitive	repetitive	ADJ
ajst-32559	139	7	and	and	CCONJ
ajst-32559	139	8	others	other	NOUN
ajst-32559	139	9	were	be	AUX
ajst-32559	139	10	uncommon	uncommon	ADJ
ajst-32559	139	11	,	,	PUNCT
ajst-32559	139	12	we	we	PRON
ajst-32559	139	13	grouped	group	VERB
ajst-32559	139	14	all	all	DET
ajst-32559	139	15	rare	rare	ADJ
ajst-32559	139	16	titles	title	NOUN
ajst-32559	139	17	under	under	ADP
ajst-32559	139	18	the	the	DET
ajst-32559	139	19	category	category	NOUN
ajst-32559	139	20	rare_title	rare_title	PROPN
ajst-32559	139	21	and	and	CCONJ
ajst-32559	139	22	consolidated	consolidate	VERB
ajst-32559	139	23	the	the	DET
ajst-32559	139	24	repetitive	repetitive	ADJ
ajst-32559	139	25	ones	one	NOUN
ajst-32559	139	26	for	for	ADP
ajst-32559	139	27	improved	improved	ADJ
ajst-32559	139	28	classification	classification	NOUN
ajst-32559	139	29	.	.	PUNCT
ajst-32559	140	1	the	the	DET
ajst-32559	140	2	final	final	ADJ
ajst-32559	140	3	variable	variable	NOUN
ajst-32559	140	4	contained	contain	VERB
ajst-32559	140	5	only	only	ADV
ajst-32559	140	6	the	the	DET
ajst-32559	140	7	following	follow	VERB
ajst-32559	140	8	categories	category	NOUN
ajst-32559	140	9	:	:	PUNCT
ajst-32559	140	10	mr	mr	PROPN
ajst-32559	140	11	.	.	PROPN
ajst-32559	140	12	,	,	PUNCT
ajst-32559	140	13	miss	miss	PROPN
ajst-32559	140	14	.	.	PROPN
ajst-32559	140	15	,	,	PUNCT
ajst-32559	140	16	mrs	mrs	PROPN
ajst-32559	140	17	.	.	PROPN
ajst-32559	140	18	,	,	PUNCT
ajst-32559	140	19	master	master	NOUN
ajst-32559	140	20	,	,	PUNCT
ajst-32559	140	21	and	and	CCONJ
ajst-32559	140	22	rare_title	rare_title	NOUN
ajst-32559	140	23	.	.	PUNCT
ajst-32559	141	1	3.4.2	3.4.2	NUM
ajst-32559	141	2	family	family	NOUN
ajst-32559	141	3	size	size	NOUN
ajst-32559	141	4	the	the	DET
ajst-32559	141	5	size	size	NOUN
ajst-32559	141	6	of	of	ADP
ajst-32559	141	7	passengers	passenger	NOUN
ajst-32559	141	8	’	'	PUNCT
ajst-32559	141	9	families	family	NOUN
ajst-32559	141	10	was	be	AUX
ajst-32559	141	11	also	also	ADV
ajst-32559	141	12	considered	consider	VERB
ajst-32559	141	13	a	a	DET
ajst-32559	141	14	potential	potential	ADJ
ajst-32559	141	15	determinant	determinant	NOUN
ajst-32559	141	16	of	of	ADP
ajst-32559	141	17	survival	survival	NOUN
ajst-32559	141	18	rates	rate	NOUN
ajst-32559	141	19	,	,	PUNCT
ajst-32559	141	20	so	so	ADV
ajst-32559	141	21	we	we	PRON
ajst-32559	141	22	created	create	VERB
ajst-32559	141	23	a	a	DET
ajst-32559	141	24	new	new	ADJ
ajst-32559	141	25	variable	variable	NOUN
ajst-32559	141	26	based	base	VERB
ajst-32559	141	27	on	on	ADP
ajst-32559	141	28	the	the	DET
ajst-32559	141	29	number	number	NOUN
ajst-32559	141	30	of	of	ADP
ajst-32559	141	31	siblings	sibling	NOUN
ajst-32559	141	32	/	/	SYM
ajst-32559	141	33	spouses	spouse	NOUN
ajst-32559	141	34	(	(	PUNCT
ajst-32559	141	35	sibsp	sibsp	NOUN
ajst-32559	141	36	)	)	PUNCT
ajst-32559	141	37	and	and	CCONJ
ajst-32559	141	38	children	child	NOUN
ajst-32559	141	39	/	/	SYM
ajst-32559	141	40	parents	parent	NOUN
ajst-32559	141	41	(	(	PUNCT
ajst-32559	141	42	parch	parch	NOUN
ajst-32559	141	43	)	)	PUNCT
ajst-32559	141	44	.	.	PUNCT
ajst-32559	142	1	we	we	PRON
ajst-32559	142	2	named	name	VERB
ajst-32559	142	3	this	this	DET
ajst-32559	142	4	variable	variable	ADJ
ajst-32559	142	5	fsize	fsize	NOUN
ajst-32559	142	6	and	and	CCONJ
ajst-32559	142	7	categorized	categorize	VERB
ajst-32559	142	8	families	family	NOUN
ajst-32559	142	9	into	into	ADP
ajst-32559	142	10	three	three	NUM
ajst-32559	142	11	subgroups	subgroup	NOUN
ajst-32559	142	12	.	.	PUNCT
ajst-32559	143	1	singleton	singleton	PROPN
ajst-32559	143	2	--fsize=1	--fsize=1	NUM
ajst-32559	143	3	;	;	PUNCT
ajst-32559	143	4	small	small	ADJ
ajst-32559	143	5	--fsize	--fsize	PUNCT
ajst-32559	144	1	=	=	PUNCT
ajst-32559	145	1	[	[	X
ajst-32559	145	2	2:4	2:4	NUM
ajst-32559	145	3	]	]	X
ajst-32559	145	4	;	;	PUNCT
ajst-32559	145	5	large	large	ADJ
ajst-32559	145	6	--fsize>4	--fsize>4	PROPN
ajst-32559	145	7	(	(	PUNCT
ajst-32559	145	8	5	5	NUM
ajst-32559	145	9	and	and	CCONJ
ajst-32559	145	10	more	more	ADJ
ajst-32559	145	11	)	)	PUNCT
ajst-32559	145	12	3.4.3	3.4.3	NUM
ajst-32559	145	13	underage	underage	NOUN
ajst-32559	145	14	&	&	CCONJ
ajst-32559	145	15	adult	adult	NOUN
ajst-32559	145	16	considering	consider	VERB
ajst-32559	145	17	the	the	DET
ajst-32559	145	18	policy	policy	NOUN
ajst-32559	145	19	of	of	ADP
ajst-32559	145	20	“	"	PUNCT
ajst-32559	145	21	women	woman	NOUN
ajst-32559	145	22	and	and	CCONJ
ajst-32559	145	23	children	child	NOUN
ajst-32559	145	24	first	first	ADV
ajst-32559	145	25	”	"	PUNCT
ajst-32559	145	26	,	,	PUNCT
ajst-32559	145	27	a	a	DET
ajst-32559	145	28	new	new	ADJ
ajst-32559	145	29	variable	variable	NOUN
ajst-32559	145	30	called	call	VERB
ajst-32559	145	31	“	"	PUNCT
ajst-32559	145	32	child	child	NOUN
ajst-32559	145	33	”	"	PUNCT
ajst-32559	145	34	was	be	AUX
ajst-32559	145	35	created	create	VERB
ajst-32559	145	36	by	by	ADP
ajst-32559	145	37	separating	separate	VERB
ajst-32559	145	38	individuals	individual	NOUN
ajst-32559	145	39	into	into	ADP
ajst-32559	145	40	child	child	NOUN
ajst-32559	145	41	and	and	CCONJ
ajst-32559	145	42	non	non	ADJ
ajst-32559	145	43	-	-	NOUN
ajst-32559	145	44	child	child	NOUN
ajst-32559	145	45	based	base	VERB
ajst-32559	145	46	on	on	ADP
ajst-32559	145	47	their	their	PRON
ajst-32559	145	48	age	age	NOUN
ajst-32559	145	49	.	.	PUNCT
ajst-32559	146	1	3.4.4	3.4.4	NUM
ajst-32559	146	2	mother	mother	NOUN
ajst-32559	146	3	&	&	CCONJ
ajst-32559	146	4	not	not	PART
ajst-32559	146	5	mother	mother	NOUN
ajst-32559	146	6	whether	whether	SCONJ
ajst-32559	146	7	a	a	DET
ajst-32559	146	8	passenger	passenger	NOUN
ajst-32559	146	9	is	be	AUX
ajst-32559	146	10	a	a	DET
ajst-32559	146	11	mother	mother	NOUN
ajst-32559	146	12	or	or	CCONJ
ajst-32559	146	13	not	not	PART
ajst-32559	146	14	could	could	AUX
ajst-32559	146	15	possibly	possibly	ADV
ajst-32559	146	16	influence	influence	VERB
ajst-32559	146	17	a	a	DET
ajst-32559	146	18	person	person	NOUN
ajst-32559	146	19	’s	’s	PART
ajst-32559	146	20	survival	survival	NOUN
ajst-32559	146	21	rate	rate	NOUN
ajst-32559	146	22	as	as	ADV
ajst-32559	146	23	well	well	ADV
ajst-32559	146	24	,	,	PUNCT
ajst-32559	146	25	because	because	SCONJ
ajst-32559	146	26	crew	crew	NOUN
ajst-32559	146	27	and	and	CCONJ
ajst-32559	146	28	fellow	fellow	NOUN
ajst-32559	146	29	passengers	passenger	NOUN
ajst-32559	146	30	may	may	AUX
ajst-32559	146	31	prioritize	prioritize	VERB
ajst-32559	146	32	assisting	assist	VERB
ajst-32559	146	33	mothers	mother	NOUN
ajst-32559	146	34	,	,	PUNCT
ajst-32559	146	35	viewing	view	VERB
ajst-32559	146	36	them	they	PRON
ajst-32559	146	37	as	as	ADP
ajst-32559	146	38	needing	need	VERB
ajst-32559	146	39	protection	protection	NOUN
ajst-32559	146	40	.	.	PUNCT
ajst-32559	147	1	3.5	3.5	NUM
ajst-32559	147	2	exploratory	exploratory	ADJ
ajst-32559	147	3	data	datum	NOUN
ajst-32559	147	4	visualisation	visualisation	NOUN
ajst-32559	147	5	3.5.1	3.5.1	NUM
ajst-32559	147	6	age	age	NOUN
ajst-32559	147	7	,	,	PUNCT
ajst-32559	147	8	sex	sex	NOUN
ajst-32559	147	9	&	&	CCONJ
ajst-32559	147	10	survival	survival	PROPN
ajst-32559	147	11	figure	figure	NOUN
ajst-32559	147	12	9	9	NUM
ajst-32559	147	13	.	.	PUNCT
ajst-32559	148	1	survival	survival	NOUN
ajst-32559	148	2	count	count	NOUN
ajst-32559	148	3	by	by	ADP
ajst-32559	148	4	age	age	NOUN
ajst-32559	148	5	and	and	CCONJ
ajst-32559	148	6	sex	sex	NOUN
ajst-32559	148	7	;	;	PUNCT
ajst-32559	148	8	figure	figure	NOUN
ajst-32559	148	9	10	10	NUM
ajst-32559	148	10	.	.	PUNCT
ajst-32559	149	1	distribution	distribution	NOUN
ajst-32559	149	2	of	of	ADP
ajst-32559	149	3	passengers	passenger	NOUN
ajst-32559	149	4	by	by	ADP
ajst-32559	149	5	fare	fare	NOUN
ajst-32559	149	6	,	,	PUNCT
ajst-32559	149	7	age	age	NOUN
ajst-32559	149	8	and	and	CCONJ
ajst-32559	149	9	gender	gender	NOUN
ajst-32559	149	10	152	152	NUM
ajst-32559	149	11	as	as	SCONJ
ajst-32559	149	12	shown	show	VERB
ajst-32559	149	13	in	in	ADP
ajst-32559	149	14	figure	figure	NOUN
ajst-32559	149	15	9	9	NUM
ajst-32559	149	16	,	,	PUNCT
ajst-32559	149	17	the	the	DET
ajst-32559	149	18	number	number	NOUN
ajst-32559	149	19	of	of	ADP
ajst-32559	149	20	male	male	ADJ
ajst-32559	149	21	fatalities	fatality	NOUN
ajst-32559	149	22	in	in	ADP
ajst-32559	149	23	the	the	DET
ajst-32559	149	24	incident	incident	NOUN
ajst-32559	149	25	was	be	AUX
ajst-32559	149	26	significantly	significantly	ADV
ajst-32559	149	27	higher	high	ADJ
ajst-32559	149	28	than	than	ADP
ajst-32559	149	29	that	that	PRON
ajst-32559	149	30	of	of	ADP
ajst-32559	149	31	females	female	NOUN
ajst-32559	149	32	.	.	PUNCT
ajst-32559	150	1	additionally	additionally	ADV
ajst-32559	150	2	,	,	PUNCT
ajst-32559	150	3	passengers	passenger	NOUN
ajst-32559	150	4	aged	age	VERB
ajst-32559	150	5	between	between	ADP
ajst-32559	150	6	15	15	NUM
ajst-32559	150	7	and	and	CCONJ
ajst-32559	150	8	50	50	NUM
ajst-32559	150	9	who	who	PRON
ajst-32559	150	10	survived	survive	VERB
ajst-32559	150	11	the	the	DET
ajst-32559	150	12	accident	accident	NOUN
ajst-32559	150	13	outnumbered	outnumber	VERB
ajst-32559	150	14	those	those	PRON
ajst-32559	150	15	in	in	ADP
ajst-32559	150	16	other	other	ADJ
ajst-32559	150	17	age	age	NOUN
ajst-32559	150	18	groups	group	NOUN
ajst-32559	150	19	.	.	PUNCT
ajst-32559	151	1	this	this	DET
ajst-32559	151	2	trend	trend	NOUN
ajst-32559	151	3	was	be	AUX
ajst-32559	151	4	partly	partly	ADV
ajst-32559	151	5	attributable	attributable	ADJ
ajst-32559	151	6	to	to	ADP
ajst-32559	151	7	their	their	PRON
ajst-32559	151	8	more	more	ADV
ajst-32559	151	9	mature	mature	ADJ
ajst-32559	151	10	cognitive	cognitive	ADJ
ajst-32559	151	11	abilities	ability	NOUN
ajst-32559	151	12	compared	compare	VERB
ajst-32559	151	13	to	to	ADP
ajst-32559	151	14	children	child	NOUN
ajst-32559	151	15	,	,	PUNCT
ajst-32559	151	16	and	and	CCONJ
ajst-32559	151	17	greater	great	ADJ
ajst-32559	151	18	physical	physical	ADJ
ajst-32559	151	19	capacity	capacity	NOUN
ajst-32559	151	20	to	to	PART
ajst-32559	151	21	escape	escape	VERB
ajst-32559	151	22	relative	relative	ADJ
ajst-32559	151	23	to	to	ADP
ajst-32559	151	24	elderly	elderly	ADJ
ajst-32559	151	25	individuals	individual	NOUN
ajst-32559	151	26	.	.	PUNCT
ajst-32559	152	1	however	however	ADV
ajst-32559	152	2	,	,	PUNCT
ajst-32559	152	3	another	another	DET
ajst-32559	152	4	non	non	ADJ
ajst-32559	152	5	-	-	ADJ
ajst-32559	152	6	negligible	negligible	ADJ
ajst-32559	152	7	factor	factor	NOUN
ajst-32559	152	8	was	be	AUX
ajst-32559	152	9	the	the	DET
ajst-32559	152	10	large	large	ADJ
ajst-32559	152	11	population	population	NOUN
ajst-32559	152	12	base	base	NOUN
ajst-32559	152	13	of	of	ADP
ajst-32559	152	14	passengers	passenger	NOUN
ajst-32559	152	15	within	within	ADP
ajst-32559	152	16	the	the	DET
ajst-32559	152	17	15	15	NUM
ajst-32559	152	18	to	to	PART
ajst-32559	152	19	50	50	NUM
ajst-32559	152	20	age	age	NOUN
ajst-32559	152	21	range	range	NOUN
ajst-32559	152	22	.	.	PUNCT
ajst-32559	153	1	3.5.2	3.5.2	NUM
ajst-32559	153	2	fare	fare	NOUN
ajst-32559	153	3	,	,	PUNCT
ajst-32559	153	4	age	age	NOUN
ajst-32559	153	5	,	,	PUNCT
ajst-32559	153	6	sex	sex	NOUN
ajst-32559	153	7	&	&	CCONJ
ajst-32559	153	8	survival	survival	PROPN
ajst-32559	153	9	figure	figure	PROPN
ajst-32559	153	10	10	10	NUM
ajst-32559	153	11	presented	present	VERB
ajst-32559	153	12	a	a	DET
ajst-32559	153	13	scatter	scatter	NOUN
ajst-32559	153	14	plot	plot	NOUN
ajst-32559	153	15	illustrating	illustrate	VERB
ajst-32559	153	16	the	the	DET
ajst-32559	153	17	distribution	distribution	NOUN
ajst-32559	153	18	of	of	ADP
ajst-32559	153	19	passengers	passenger	NOUN
ajst-32559	153	20	by	by	ADP
ajst-32559	153	21	fare	fare	NOUN
ajst-32559	153	22	,	,	PUNCT
ajst-32559	153	23	age	age	NOUN
ajst-32559	153	24	,	,	PUNCT
ajst-32559	153	25	and	and	CCONJ
ajst-32559	153	26	gender	gender	NOUN
ajst-32559	153	27	.	.	PUNCT
ajst-32559	154	1	the	the	DET
ajst-32559	154	2	graph	graph	NOUN
ajst-32559	154	3	clearly	clearly	ADV
ajst-32559	154	4	demonstrated	demonstrate	VERB
ajst-32559	154	5	the	the	DET
ajst-32559	154	6	influence	influence	NOUN
ajst-32559	154	7	of	of	ADP
ajst-32559	154	8	fare	fare	NOUN
ajst-32559	154	9	on	on	ADP
ajst-32559	154	10	survival	survival	NOUN
ajst-32559	154	11	outcomes	outcome	NOUN
ajst-32559	154	12	.	.	PUNCT
ajst-32559	155	1	it	it	PRON
ajst-32559	155	2	was	be	AUX
ajst-32559	155	3	observed	observe	VERB
ajst-32559	155	4	that	that	SCONJ
ajst-32559	155	5	red	red	ADJ
ajst-32559	155	6	dots	dot	NOUN
ajst-32559	155	7	(	(	PUNCT
ajst-32559	155	8	representing	represent	VERB
ajst-32559	155	9	deceased	deceased	ADJ
ajst-32559	155	10	individuals	individual	NOUN
ajst-32559	155	11	)	)	PUNCT
ajst-32559	155	12	among	among	ADP
ajst-32559	155	13	female	female	ADJ
ajst-32559	155	14	passengers	passenger	NOUN
ajst-32559	155	15	were	be	AUX
ajst-32559	155	16	predominantly	predominantly	ADV
ajst-32559	155	17	concentrated	concentrate	VERB
ajst-32559	155	18	at	at	ADP
ajst-32559	155	19	the	the	DET
ajst-32559	155	20	lower	low	ADJ
ajst-32559	155	21	end	end	NOUN
ajst-32559	155	22	of	of	ADP
ajst-32559	155	23	the	the	DET
ajst-32559	155	24	fare	fare	NOUN
ajst-32559	155	25	spectrum	spectrum	NOUN
ajst-32559	155	26	,	,	PUNCT
ajst-32559	155	27	most	most	ADV
ajst-32559	155	28	notably	notably	ADV
ajst-32559	155	29	around	around	ADP
ajst-32559	155	30	£	£	SYM
ajst-32559	155	31	10	10	NUM
ajst-32559	155	32	.	.	PUNCT
ajst-32559	156	1	in	in	ADP
ajst-32559	156	2	contrast	contrast	NOUN
ajst-32559	156	3	,	,	PUNCT
ajst-32559	156	4	very	very	ADV
ajst-32559	156	5	few	few	ADJ
ajst-32559	156	6	male	male	ADJ
ajst-32559	156	7	passengers	passenger	NOUN
ajst-32559	156	8	survived	survive	VERB
ajst-32559	156	9	when	when	SCONJ
ajst-32559	156	10	their	their	PRON
ajst-32559	156	11	ticket	ticket	NOUN
ajst-32559	156	12	fare	fare	NOUN
ajst-32559	156	13	was	be	AUX
ajst-32559	156	14	within	within	ADP
ajst-32559	156	15	this	this	DET
ajst-32559	156	16	range	range	NOUN
ajst-32559	156	17	.	.	PUNCT
ajst-32559	157	1	despite	despite	SCONJ
ajst-32559	157	2	the	the	DET
ajst-32559	157	3	overall	overall	ADJ
ajst-32559	157	4	low	low	ADJ
ajst-32559	157	5	survival	survival	NOUN
ajst-32559	157	6	rate	rate	NOUN
ajst-32559	157	7	among	among	ADP
ajst-32559	157	8	males	male	NOUN
ajst-32559	157	9	—	—	PUNCT
ajst-32559	157	10	evidenced	evidence	VERB
ajst-32559	157	11	by	by	ADP
ajst-32559	157	12	a	a	DET
ajst-32559	157	13	significantly	significantly	ADV
ajst-32559	157	14	higher	high	ADJ
ajst-32559	157	15	number	number	NOUN
ajst-32559	157	16	of	of	ADP
ajst-32559	157	17	red	red	ADJ
ajst-32559	157	18	dots	dot	NOUN
ajst-32559	157	19	compared	compare	VERB
ajst-32559	157	20	to	to	ADP
ajst-32559	157	21	cyan	cyan	ADJ
ajst-32559	157	22	ones	one	NOUN
ajst-32559	157	23	—	—	PUNCT
ajst-32559	157	24	a	a	DET
ajst-32559	157	25	substantial	substantial	ADJ
ajst-32559	157	26	proportion	proportion	NOUN
ajst-32559	157	27	of	of	ADP
ajst-32559	157	28	children	child	NOUN
ajst-32559	157	29	aged	age	VERB
ajst-32559	157	30	between	between	ADP
ajst-32559	157	31	0	0	NUM
ajst-32559	157	32	and	and	CCONJ
ajst-32559	157	33	10	10	NUM
ajst-32559	157	34	successfully	successfully	ADV
ajst-32559	157	35	evacuated	evacuate	VERB
ajst-32559	157	36	.	.	PUNCT
ajst-32559	158	1	this	this	DET
ajst-32559	158	2	pattern	pattern	NOUN
ajst-32559	158	3	indicated	indicate	VERB
ajst-32559	158	4	that	that	SCONJ
ajst-32559	158	5	age	age	NOUN
ajst-32559	158	6	also	also	ADV
ajst-32559	158	7	played	play	VERB
ajst-32559	158	8	a	a	DET
ajst-32559	158	9	pivotal	pivotal	ADJ
ajst-32559	158	10	role	role	NOUN
ajst-32559	158	11	in	in	ADP
ajst-32559	158	12	determining	determine	VERB
ajst-32559	158	13	survival	survival	NOUN
ajst-32559	158	14	likelihood	likelihood	NOUN
ajst-32559	158	15	.	.	PUNCT
ajst-32559	159	1	3.5.3	3.5.3	NUM
ajst-32559	159	2	family	family	NOUN
ajst-32559	159	3	size	size	NOUN
ajst-32559	159	4	,	,	PUNCT
ajst-32559	159	5	cabin	cabin	NOUN
ajst-32559	159	6	level	level	NOUN
ajst-32559	159	7	&	&	CCONJ
ajst-32559	159	8	survival	survival	NOUN
ajst-32559	159	9	from	from	ADP
ajst-32559	159	10	figure	figure	NOUN
ajst-32559	159	11	11	11	NUM
ajst-32559	159	12	,	,	PUNCT
ajst-32559	159	13	we	we	PRON
ajst-32559	159	14	observed	observe	VERB
ajst-32559	159	15	that	that	SCONJ
ajst-32559	159	16	the	the	DET
ajst-32559	159	17	likelihood	likelihood	NOUN
ajst-32559	159	18	of	of	ADP
ajst-32559	159	19	survival	survival	NOUN
ajst-32559	159	20	gradually	gradually	ADV
ajst-32559	159	21	decreased	decrease	VERB
ajst-32559	159	22	as	as	SCONJ
ajst-32559	159	23	passengers	passenger	NOUN
ajst-32559	159	24	’	'	PUNCT
ajst-32559	159	25	cabin	cabin	NOUN
ajst-32559	159	26	level	level	NOUN
ajst-32559	159	27	declined	decline	VERB
ajst-32559	159	28	.	.	PUNCT
ajst-32559	160	1	this	this	DET
ajst-32559	160	2	trend	trend	NOUN
ajst-32559	160	3	was	be	AUX
ajst-32559	160	4	attributed	attribute	VERB
ajst-32559	160	5	to	to	ADP
ajst-32559	160	6	the	the	DET
ajst-32559	160	7	limited	limited	ADJ
ajst-32559	160	8	access	access	NOUN
ajst-32559	160	9	to	to	ADP
ajst-32559	160	10	lifeboats	lifeboat	NOUN
ajst-32559	160	11	for	for	ADP
ajst-32559	160	12	individuals	individual	NOUN
ajst-32559	160	13	residing	reside	VERB
ajst-32559	160	14	on	on	ADP
ajst-32559	160	15	lower	low	ADJ
ajst-32559	160	16	decks	deck	NOUN
ajst-32559	160	17	,	,	PUNCT
ajst-32559	160	18	as	as	SCONJ
ajst-32559	160	19	lifeboats	lifeboat	NOUN
ajst-32559	160	20	were	be	AUX
ajst-32559	160	21	attached	attach	VERB
ajst-32559	160	22	to	to	ADP
ajst-32559	160	23	the	the	DET
ajst-32559	160	24	ship	ship	NOUN
ajst-32559	160	25	’s	’s	PART
ajst-32559	160	26	topmost	topmost	ADJ
ajst-32559	160	27	deck	deck	NOUN
ajst-32559	160	28	.	.	PUNCT
ajst-32559	161	1	furthermore	furthermore	ADV
ajst-32559	161	2	,	,	PUNCT
ajst-32559	161	3	the	the	DET
ajst-32559	161	4	high	high	ADJ
ajst-32559	161	5	concentration	concentration	NOUN
ajst-32559	161	6	of	of	ADP
ajst-32559	161	7	passengers	passenger	NOUN
ajst-32559	161	8	on	on	ADP
ajst-32559	161	9	the	the	DET
ajst-32559	161	10	lower	low	ADJ
ajst-32559	161	11	decks	deck	NOUN
ajst-32559	161	12	likely	likely	ADV
ajst-32559	161	13	contributed	contribute	VERB
ajst-32559	161	14	to	to	ADP
ajst-32559	161	15	congestion	congestion	NOUN
ajst-32559	161	16	during	during	ADP
ajst-32559	161	17	evacuation	evacuation	NOUN
ajst-32559	161	18	,	,	PUNCT
ajst-32559	161	19	further	far	ADV
ajst-32559	161	20	impeding	impede	VERB
ajst-32559	161	21	escape	escape	NOUN
ajst-32559	161	22	.	.	PUNCT
ajst-32559	162	1	figure	figure	NOUN
ajst-32559	162	2	11	11	NUM
ajst-32559	162	3	.	.	PUNCT
ajst-32559	163	1	survival	survival	NOUN
ajst-32559	163	2	proportion	proportion	NOUN
ajst-32559	163	3	by	by	ADP
ajst-32559	163	4	family	family	NOUN
ajst-32559	163	5	size	size	NOUN
ajst-32559	163	6	and	and	CCONJ
ajst-32559	163	7	cabin	cabin	NOUN
ajst-32559	163	8	level	level	NOUN
ajst-32559	163	9	upon	upon	SCONJ
ajst-32559	163	10	closer	close	ADJ
ajst-32559	163	11	examination	examination	NOUN
ajst-32559	163	12	of	of	ADP
ajst-32559	163	13	cabin	cabin	NOUN
ajst-32559	163	14	level	level	NOUN
ajst-32559	163	15	l3	l3	NOUN
ajst-32559	163	16	,	,	PUNCT
ajst-32559	163	17	we	we	PRON
ajst-32559	163	18	found	find	VERB
ajst-32559	163	19	that	that	SCONJ
ajst-32559	163	20	large	large	ADJ
ajst-32559	163	21	families	family	NOUN
ajst-32559	163	22	exhibited	exhibit	VERB
ajst-32559	163	23	a	a	DET
ajst-32559	163	24	survival	survival	NOUN
ajst-32559	163	25	probability	probability	NOUN
ajst-32559	163	26	of	of	ADP
ajst-32559	163	27	less	less	ADJ
ajst-32559	163	28	than	than	ADP
ajst-32559	163	29	10	10	NUM
ajst-32559	163	30	%	%	NOUN
ajst-32559	163	31	,	,	PUNCT
ajst-32559	163	32	single	single	ADJ
ajst-32559	163	33	passengers	passenger	NOUN
ajst-32559	163	34	around	around	ADP
ajst-32559	163	35	20	20	NUM
ajst-32559	163	36	%	%	NOUN
ajst-32559	163	37	,	,	PUNCT
ajst-32559	163	38	and	and	CCONJ
ajst-32559	163	39	small	small	ADJ
ajst-32559	163	40	families	family	NOUN
ajst-32559	163	41	above	above	ADP
ajst-32559	163	42	40	40	NUM
ajst-32559	163	43	%	%	NOUN
ajst-32559	163	44	.	.	PUNCT
ajst-32559	164	1	this	this	DET
ajst-32559	164	2	phenomenon	phenomenon	NOUN
ajst-32559	164	3	was	be	AUX
ajst-32559	164	4	likely	likely	ADV
ajst-32559	164	5	attributable	attributable	ADJ
ajst-32559	164	6	to	to	ADP
ajst-32559	164	7	the	the	DET
ajst-32559	164	8	tendency	tendency	NOUN
ajst-32559	164	9	of	of	ADP
ajst-32559	164	10	small	small	ADJ
ajst-32559	164	11	families	family	NOUN
ajst-32559	164	12	to	to	PART
ajst-32559	164	13	remain	remain	VERB
ajst-32559	164	14	together	together	ADV
ajst-32559	164	15	and	and	CCONJ
ajst-32559	164	16	offer	offer	VERB
ajst-32559	164	17	mutual	mutual	ADJ
ajst-32559	164	18	support	support	NOUN
ajst-32559	164	19	,	,	PUNCT
ajst-32559	164	20	in	in	ADP
ajst-32559	164	21	contrast	contrast	NOUN
ajst-32559	164	22	to	to	ADP
ajst-32559	164	23	singletons	singleton	NOUN
ajst-32559	164	24	who	who	PRON
ajst-32559	164	25	lacked	lack	VERB
ajst-32559	164	26	assistance	assistance	NOUN
ajst-32559	164	27	and	and	CCONJ
ajst-32559	164	28	large	large	ADJ
ajst-32559	164	29	families	family	NOUN
ajst-32559	164	30	who	who	PRON
ajst-32559	164	31	may	may	AUX
ajst-32559	164	32	have	have	AUX
ajst-32559	164	33	faced	face	VERB
ajst-32559	164	34	difficulties	difficulty	NOUN
ajst-32559	164	35	securing	secure	VERB
ajst-32559	164	36	sufficient	sufficient	ADJ
ajst-32559	164	37	space	space	NOUN
ajst-32559	164	38	on	on	ADP
ajst-32559	164	39	lifeboats	lifeboat	NOUN
ajst-32559	164	40	.	.	PUNCT
ajst-32559	165	1	the	the	DET
ajst-32559	165	2	observed	observed	ADJ
ajst-32559	165	3	100	100	NUM
ajst-32559	165	4	%	%	NOUN
ajst-32559	165	5	survival	survival	NOUN
ajst-32559	165	6	rate	rate	NOUN
ajst-32559	165	7	of	of	ADP
ajst-32559	165	8	large	large	ADJ
ajst-32559	165	9	families	family	NOUN
ajst-32559	165	10	in	in	ADP
ajst-32559	165	11	cabin	cabin	NOUN
ajst-32559	165	12	level	level	NOUN
ajst-32559	165	13	l2	l2	NOUN
ajst-32559	165	14	was	be	AUX
ajst-32559	165	15	presumed	presume	VERB
ajst-32559	165	16	to	to	PART
ajst-32559	165	17	result	result	VERB
ajst-32559	165	18	from	from	ADP
ajst-32559	165	19	a	a	DET
ajst-32559	165	20	small	small	ADJ
ajst-32559	165	21	sample	sample	NOUN
ajst-32559	165	22	size	size	NOUN
ajst-32559	165	23	and	and	CCONJ
ajst-32559	165	24	potential	potential	ADJ
ajst-32559	165	25	inaccuracies	inaccuracy	NOUN
ajst-32559	165	26	introduced	introduce	VERB
ajst-32559	165	27	during	during	ADP
ajst-32559	165	28	the	the	DET
ajst-32559	165	29	imputation	imputation	NOUN
ajst-32559	165	30	and	and	CCONJ
ajst-32559	165	31	feature	feature	NOUN
ajst-32559	165	32	engineering	engineering	NOUN
ajst-32559	165	33	of	of	ADP
ajst-32559	165	34	the	the	DET
ajst-32559	165	35	cabin	cabin	NOUN
ajst-32559	165	36	variable	variable	NOUN
ajst-32559	165	37	.	.	PUNCT
ajst-32559	166	1	3.5.4	3.5.4	NUM
ajst-32559	166	2	pclass	pclass	NOUN
ajst-32559	166	3	,	,	PUNCT
ajst-32559	166	4	time	time	NOUN
ajst-32559	166	5	&	&	CCONJ
ajst-32559	166	6	survival	survival	NOUN
ajst-32559	166	7	in	in	ADP
ajst-32559	166	8	addition	addition	NOUN
ajst-32559	166	9	to	to	ADP
ajst-32559	166	10	the	the	DET
ajst-32559	166	11	preceding	precede	VERB
ajst-32559	166	12	variables	variable	NOUN
ajst-32559	166	13	,	,	PUNCT
ajst-32559	166	14	we	we	PRON
ajst-32559	166	15	added	add	VERB
ajst-32559	166	16	the	the	DET
ajst-32559	166	17	concept	concept	NOUN
ajst-32559	166	18	of	of	ADP
ajst-32559	166	19	time	time	NOUN
ajst-32559	166	20	into	into	ADP
ajst-32559	166	21	the	the	DET
ajst-32559	166	22	visualization	visualization	NOUN
ajst-32559	166	23	,	,	PUNCT
ajst-32559	166	24	which	which	PRON
ajst-32559	166	25	could	could	AUX
ajst-32559	166	26	directly	directly	ADV
ajst-32559	166	27	display	display	VERB
ajst-32559	166	28	the	the	DET
ajst-32559	166	29	passengers	passenger	NOUN
ajst-32559	166	30	’	'	PUNCT
ajst-32559	166	31	danger	danger	NOUN
ajst-32559	166	32	over	over	ADP
ajst-32559	166	33	time	time	NOUN
ajst-32559	166	34	.	.	PUNCT
ajst-32559	167	1	153	153	NUM
ajst-32559	167	2	figure	figure	NOUN
ajst-32559	167	3	12	12	NUM
ajst-32559	167	4	.	.	PUNCT
ajst-32559	168	1	survival	survival	NOUN
ajst-32559	168	2	rate	rate	NOUN
ajst-32559	168	3	by	by	ADP
ajst-32559	168	4	passenger	passenger	NOUN
ajst-32559	168	5	class	class	NOUN
ajst-32559	168	6	and	and	CCONJ
ajst-32559	168	7	time	time	NOUN
ajst-32559	168	8	as	as	SCONJ
ajst-32559	168	9	shown	show	VERB
ajst-32559	168	10	in	in	ADP
ajst-32559	168	11	figure	figure	NOUN
ajst-32559	168	12	12	12	NUM
ajst-32559	168	13	,	,	PUNCT
ajst-32559	168	14	although	although	SCONJ
ajst-32559	168	15	the	the	DET
ajst-32559	168	16	survival	survival	NOUN
ajst-32559	168	17	probabilities	probability	NOUN
ajst-32559	168	18	of	of	ADP
ajst-32559	168	19	all	all	DET
ajst-32559	168	20	passengers	passenger	NOUN
ajst-32559	168	21	declined	decline	VERB
ajst-32559	168	22	over	over	ADP
ajst-32559	168	23	time	time	NOUN
ajst-32559	168	24	,	,	PUNCT
ajst-32559	168	25	those	those	PRON
ajst-32559	168	26	in	in	ADP
ajst-32559	168	27	higher	high	ADJ
ajst-32559	168	28	passenger	passenger	NOUN
ajst-32559	168	29	classes	class	NOUN
ajst-32559	168	30	ultimately	ultimately	ADV
ajst-32559	168	31	exhibited	exhibit	VERB
ajst-32559	168	32	greater	great	ADJ
ajst-32559	168	33	chances	chance	NOUN
ajst-32559	168	34	of	of	ADP
ajst-32559	168	35	survival	survival	NOUN
ajst-32559	168	36	compared	compare	VERB
ajst-32559	168	37	to	to	ADP
ajst-32559	168	38	those	those	PRON
ajst-32559	168	39	in	in	ADP
ajst-32559	168	40	lower	low	ADJ
ajst-32559	168	41	classes	class	NOUN
ajst-32559	168	42	.	.	PUNCT
ajst-32559	169	1	passengers	passenger	NOUN
ajst-32559	169	2	from	from	ADP
ajst-32559	169	3	class	class	NOUN
ajst-32559	169	4	1	1	NUM
ajst-32559	169	5	had	have	VERB
ajst-32559	169	6	an	an	DET
ajst-32559	169	7	ultimate	ultimate	ADJ
ajst-32559	169	8	survival	survival	NOUN
ajst-32559	169	9	probability	probability	NOUN
ajst-32559	169	10	of	of	ADP
ajst-32559	169	11	approximately	approximately	ADV
ajst-32559	169	12	52	52	NUM
ajst-32559	169	13	%	%	NOUN
ajst-32559	169	14	,	,	PUNCT
ajst-32559	169	15	while	while	SCONJ
ajst-32559	169	16	those	those	PRON
ajst-32559	169	17	from	from	ADP
ajst-32559	169	18	class	class	NOUN
ajst-32559	169	19	2	2	NUM
ajst-32559	169	20	had	have	VERB
ajst-32559	169	21	around	around	ADV
ajst-32559	169	22	37	37	NUM
ajst-32559	169	23	%	%	NOUN
ajst-32559	169	24	,	,	PUNCT
ajst-32559	169	25	and	and	CCONJ
ajst-32559	169	26	class	class	NOUN
ajst-32559	169	27	3	3	NUM
ajst-32559	169	28	passengers	passenger	NOUN
ajst-32559	169	29	only	only	ADV
ajst-32559	169	30	reached	reach	VERB
ajst-32559	169	31	about	about	ADP
ajst-32559	169	32	30	30	NUM
ajst-32559	169	33	%	%	NOUN
ajst-32559	169	34	.	.	PUNCT
ajst-32559	170	1	4	4	X
ajst-32559	170	2	.	.	X
ajst-32559	170	3	analysis	analysis	NOUN
ajst-32559	170	4	of	of	ADP
ajst-32559	170	5	results	result	NOUN
ajst-32559	170	6	4.1	4.1	NUM
ajst-32559	170	7	logistic	logistic	ADJ
ajst-32559	170	8	regression	regression	NOUN
ajst-32559	170	9	to	to	PART
ajst-32559	170	10	begin	begin	VERB
ajst-32559	170	11	with	with	ADP
ajst-32559	170	12	,	,	PUNCT
ajst-32559	170	13	we	we	PRON
ajst-32559	170	14	chose	choose	VERB
ajst-32559	170	15	the	the	DET
ajst-32559	170	16	factors	factor	NOUN
ajst-32559	170	17	that	that	PRON
ajst-32559	170	18	we	we	PRON
ajst-32559	170	19	concluded	conclude	VERB
ajst-32559	170	20	to	to	PART
ajst-32559	170	21	be	be	AUX
ajst-32559	170	22	most	most	ADV
ajst-32559	170	23	influential	influential	ADJ
ajst-32559	170	24	in	in	ADP
ajst-32559	170	25	the	the	DET
ajst-32559	170	26	previous	previous	ADJ
ajst-32559	170	27	steps	step	NOUN
ajst-32559	170	28	and	and	CCONJ
ajst-32559	170	29	implemented	implement	VERB
ajst-32559	170	30	them	they	PRON
ajst-32559	170	31	into	into	ADP
ajst-32559	170	32	the	the	DET
ajst-32559	170	33	model	model	NOUN
ajst-32559	170	34	.	.	PUNCT
ajst-32559	171	1	the	the	DET
ajst-32559	171	2	result	result	NOUN
ajst-32559	171	3	of	of	ADP
ajst-32559	171	4	the	the	DET
ajst-32559	171	5	model	model	NOUN
ajst-32559	171	6	has	have	VERB
ajst-32559	171	7	an	an	DET
ajst-32559	171	8	accuracy	accuracy	NOUN
ajst-32559	171	9	of	of	ADP
ajst-32559	171	10	84.27	84.27	NUM
ajst-32559	171	11	%	%	NOUN
ajst-32559	171	12	.	.	PUNCT
ajst-32559	172	1	moreover	moreover	ADV
ajst-32559	172	2	,	,	PUNCT
ajst-32559	172	3	we	we	PRON
ajst-32559	172	4	noticed	notice	VERB
ajst-32559	172	5	that	that	SCONJ
ajst-32559	172	6	the	the	DET
ajst-32559	172	7	p	p	NOUN
ajst-32559	172	8	-	-	PUNCT
ajst-32559	172	9	values	value	NOUN
ajst-32559	172	10	between	between	ADP
ajst-32559	172	11	certain	certain	ADJ
ajst-32559	172	12	variables	variable	NOUN
ajst-32559	172	13	were	be	AUX
ajst-32559	172	14	concerning	concern	VERB
ajst-32559	172	15	.	.	PUNCT
ajst-32559	173	1	table	table	NOUN
ajst-32559	173	2	4	4	NUM
ajst-32559	173	3	.	.	X
ajst-32559	174	1	p	p	X
ajst-32559	174	2	-	-	PUNCT
ajst-32559	174	3	value	value	NOUN
ajst-32559	174	4	matrix	matrix	NOUN
ajst-32559	174	5	of	of	ADP
ajst-32559	174	6	5	5	NUM
ajst-32559	174	7	variables	variable	NOUN
ajst-32559	174	8	p	p	PROPN
ajst-32559	174	9	class	class	NOUN
ajst-32559	174	10	sex	sex	NOUN
ajst-32559	174	11	embarked	embark	VERB
ajst-32559	174	12	title	title	NOUN
ajst-32559	174	13	cabin	cabin	NOUN
ajst-32559	174	14	level	level	NOUN
ajst-32559	174	15	pclass	pclass	NOUN
ajst-32559	174	16	0	0	NUM
ajst-32559	174	17	2.743620	2.743620	NUM
ajst-32559	174	18	e-04	e-04	VERB
ajst-32559	174	19	7.863121e-21	7.863121e-21	PROPN
ajst-32559	174	20	1.603004e-09	1.603004e-09	NUM
ajst-32559	174	21	1.329840e-200	1.329840e-200	PROPN
ajst-32559	174	22	sex	sex	NOUN
ajst-32559	174	23	2.743620e-04	2.743620e-04	NUM
ajst-32559	174	24	0	0	NUM
ajst-32559	174	25	1.419766e-02	1.419766e-02	NUM
ajst-32559	174	26	2.342819e-151	2.342819e-151	PROPN
ajst-32559	174	27	8.532655e-05	8.532655e-05	NUM
ajst-32559	174	28	embarked	embark	VERB
ajst-32559	174	29	7.863121e-21	7.863121e-21	NUM
ajst-32559	174	30	1.419766e-02	1.419766e-02	NUM
ajst-32559	174	31	0	0	NUM
ajst-32559	174	32	4.100311e-04	4.100311e-04	NUM
ajst-32559	174	33	2.402933e-18	2.402933e-18	NUM
ajst-32559	174	34	title	title	NOUN
ajst-32559	174	35	1.603004e-09	1.603004e-09	NUM
ajst-32559	174	36	2.342819e-151	2.342819e-151	NUM
ajst-32559	174	37	4.100311e-04	4.100311e-04	NUM
ajst-32559	174	38	0	0	NUM
ajst-32559	174	39	1.015139e-10	1.015139e-10	NUM
ajst-32559	174	40	cabin	cabin	NOUN
ajst-32559	174	41	level	level	NOUN
ajst-32559	174	42	1.329840e-200	1.329840e-200	PROPN
ajst-32559	174	43	8.532655e-05	8.532655e-05	NUM
ajst-32559	174	44	2.402933e-18	2.402933e-18	NUM
ajst-32559	174	45	1.015139e-10	1.015139e-10	NUM
ajst-32559	174	46	0	0	PUNCT
ajst-32559	174	47	as	as	SCONJ
ajst-32559	174	48	highlighted	highlight	VERB
ajst-32559	174	49	in	in	ADP
ajst-32559	174	50	table	table	NOUN
ajst-32559	174	51	4	4	NUM
ajst-32559	174	52	,	,	PUNCT
ajst-32559	174	53	the	the	DET
ajst-32559	174	54	p	p	NOUN
ajst-32559	174	55	-	-	PUNCT
ajst-32559	174	56	values	value	NOUN
ajst-32559	174	57	between	between	ADP
ajst-32559	174	58	cabin	cabin	NOUN
ajst-32559	174	59	level	level	NOUN
ajst-32559	174	60	and	and	CCONJ
ajst-32559	174	61	pclass	pclass	NOUN
ajst-32559	174	62	,	,	PUNCT
ajst-32559	174	63	sex	sex	NOUN
ajst-32559	174	64	and	and	CCONJ
ajst-32559	174	65	title	title	NOUN
ajst-32559	174	66	are	be	AUX
ajst-32559	174	67	extremely	extremely	ADV
ajst-32559	174	68	low	low	ADJ
ajst-32559	174	69	compared	compare	VERB
ajst-32559	174	70	to	to	ADP
ajst-32559	174	71	the	the	DET
ajst-32559	174	72	others	other	NOUN
ajst-32559	174	73	,	,	PUNCT
ajst-32559	174	74	which	which	PRON
ajst-32559	174	75	implies	imply	VERB
ajst-32559	174	76	that	that	SCONJ
ajst-32559	174	77	these	these	DET
ajst-32559	174	78	variables	variable	NOUN
ajst-32559	174	79	are	be	AUX
ajst-32559	174	80	strongly	strongly	ADV
ajst-32559	174	81	connected	connect	VERB
ajst-32559	174	82	to	to	ADP
ajst-32559	174	83	each	each	DET
ajst-32559	174	84	other	other	ADJ
ajst-32559	174	85	.	.	PUNCT
ajst-32559	175	1	this	this	PRON
ajst-32559	175	2	is	be	AUX
ajst-32559	175	3	understandable	understandable	ADJ
ajst-32559	175	4	,	,	PUNCT
ajst-32559	175	5	because	because	SCONJ
ajst-32559	175	6	the	the	DET
ajst-32559	175	7	variable	variable	ADJ
ajst-32559	175	8	title	title	NOUN
ajst-32559	175	9	is	be	AUX
ajst-32559	175	10	correlated	correlate	VERB
ajst-32559	175	11	to	to	ADP
ajst-32559	175	12	the	the	DET
ajst-32559	175	13	gender	gender	NOUN
ajst-32559	175	14	of	of	ADP
ajst-32559	175	15	the	the	DET
ajst-32559	175	16	passengers	passenger	NOUN
ajst-32559	175	17	,	,	PUNCT
ajst-32559	175	18	whereas	whereas	SCONJ
ajst-32559	175	19	pclass	pclass	NOUN
ajst-32559	175	20	and	and	CCONJ
ajst-32559	175	21	cabinlevel	cabinlevel	NOUN
ajst-32559	175	22	are	be	AUX
ajst-32559	175	23	equivalent	equivalent	ADJ
ajst-32559	175	24	for	for	ADP
ajst-32559	175	25	most	most	ADJ
ajst-32559	175	26	cases	case	NOUN
ajst-32559	175	27	.	.	PUNCT
ajst-32559	176	1	thus	thus	ADV
ajst-32559	176	2	,	,	PUNCT
ajst-32559	176	3	we	we	PRON
ajst-32559	176	4	decided	decide	VERB
ajst-32559	176	5	to	to	PART
ajst-32559	176	6	delete	delete	VERB
ajst-32559	176	7	one	one	NUM
ajst-32559	176	8	from	from	ADP
ajst-32559	176	9	each	each	DET
ajst-32559	176	10	pair	pair	NOUN
ajst-32559	176	11	to	to	PART
ajst-32559	176	12	simplify	simplify	VERB
ajst-32559	176	13	our	our	PRON
ajst-32559	176	14	model	model	NOUN
ajst-32559	176	15	.	.	PUNCT
ajst-32559	177	1	154	154	NUM
ajst-32559	177	2	table	table	NOUN
ajst-32559	177	3	5	5	NUM
ajst-32559	177	4	.	.	PUNCT
ajst-32559	178	1	vif	vif	NOUN
ajst-32559	178	2	of	of	ADP
ajst-32559	178	3	the	the	DET
ajst-32559	178	4	logistic	logistic	ADJ
ajst-32559	178	5	regression	regression	NOUN
ajst-32559	178	6	gvif	gvif	VERB
ajst-32559	178	7	df	df	PROPN
ajst-32559	178	8	gvif^(1/(2*df	gvif^(1/(2*df	ADJ
ajst-32559	178	9	)	)	PUNCT
ajst-32559	178	10	)	)	PUNCT
ajst-32559	178	11	pclass	pclass	NOUN
ajst-32559	178	12	1.999863e+01	1.999863e+01	NUM
ajst-32559	178	13	2	2	NUM
ajst-32559	178	14	2.114704	2.114704	NUM
ajst-32559	178	15	sex	sex	NOUN
ajst-32559	178	16	5.626813e+06	5.626813e+06	NUM
ajst-32559	178	17	1	1	NUM
ajst-32559	178	18	2372.090413	2372.090413	NUM
ajst-32559	178	19	age	age	NOUN
ajst-32559	178	20	1.879122e+00	1.879122e+00	NUM
ajst-32559	178	21	1	1	NUM
ajst-32559	178	22	1.370811	1.370811	NUM
ajst-32559	178	23	sibsp	sibsp	NOUN
ajst-32559	178	24	1.581561e+00	1.581561e+00	NUM
ajst-32559	178	25	1	1	NUM
ajst-32559	178	26	1.257601	1.257601	NUM
ajst-32559	178	27	embarked	embark	VERB
ajst-32559	178	28	1.334785e+00	1.334785e+00	NUM
ajst-32559	178	29	2	2	NUM
ajst-32559	178	30	1.074862	1.074862	NUM
ajst-32559	178	31	title	title	NOUN
ajst-32559	178	32	1.184543e+07	1.184543e+07	NUM
ajst-32559	178	33	4	4	NUM
ajst-32559	178	34	7.659384	7.659384	NUM
ajst-32559	178	35	cabinlevel	cabinlevel	NOUN
ajst-32559	178	36	1.774883e+01	1.774883e+01	NUM
ajst-32559	178	37	2	2	NUM
ajst-32559	178	38	2.052544	2.052544	NUM
ajst-32559	178	39	table	table	NOUN
ajst-32559	178	40	5	5	NUM
ajst-32559	178	41	displays	display	VERB
ajst-32559	178	42	the	the	DET
ajst-32559	178	43	variance	variance	NOUN
ajst-32559	178	44	inflation	inflation	NOUN
ajst-32559	178	45	factor	factor	NOUN
ajst-32559	178	46	and	and	CCONJ
ajst-32559	178	47	related	related	ADJ
ajst-32559	178	48	data	datum	NOUN
ajst-32559	178	49	of	of	ADP
ajst-32559	178	50	the	the	DET
ajst-32559	178	51	logistic	logistic	ADJ
ajst-32559	178	52	model	model	NOUN
ajst-32559	178	53	.	.	PUNCT
ajst-32559	179	1	the	the	DET
ajst-32559	179	2	vif	vif	NOUN
ajst-32559	179	3	of	of	ADP
ajst-32559	179	4	sex	sex	NOUN
ajst-32559	179	5	is	be	AUX
ajst-32559	179	6	evidently	evidently	ADV
ajst-32559	179	7	the	the	DET
ajst-32559	179	8	greatest	great	ADJ
ajst-32559	179	9	,	,	PUNCT
ajst-32559	179	10	followed	follow	VERB
ajst-32559	179	11	by	by	ADP
ajst-32559	179	12	title	title	NOUN
ajst-32559	179	13	.	.	PUNCT
ajst-32559	180	1	this	this	PRON
ajst-32559	180	2	suggests	suggest	VERB
ajst-32559	180	3	that	that	SCONJ
ajst-32559	180	4	these	these	DET
ajst-32559	180	5	two	two	NUM
ajst-32559	180	6	factors	factor	NOUN
ajst-32559	180	7	have	have	VERB
ajst-32559	180	8	high	high	ADJ
ajst-32559	180	9	multicollinearity	multicollinearity	NOUN
ajst-32559	180	10	,	,	PUNCT
ajst-32559	180	11	meaning	mean	VERB
ajst-32559	180	12	that	that	SCONJ
ajst-32559	180	13	they	they	PRON
ajst-32559	180	14	are	be	AUX
ajst-32559	180	15	highly	highly	ADV
ajst-32559	180	16	correlated	correlate	VERB
ajst-32559	180	17	.	.	PUNCT
ajst-32559	181	1	this	this	PRON
ajst-32559	181	2	also	also	ADV
ajst-32559	181	3	happens	happen	VERB
ajst-32559	181	4	for	for	ADP
ajst-32559	181	5	pclass	pclass	NOUN
ajst-32559	181	6	and	and	CCONJ
ajst-32559	181	7	cabinlevel	cabinlevel	VERB
ajst-32559	181	8	,	,	PUNCT
ajst-32559	181	9	for	for	ADP
ajst-32559	181	10	their	their	PRON
ajst-32559	181	11	gvif^(1/(2×df	gvif^(1/(2×df	PROPN
ajst-32559	181	12	)	)	PUNCT
ajst-32559	181	13	)	)	PUNCT
ajst-32559	182	1	is	be	AUX
ajst-32559	182	2	greater	great	ADJ
ajst-32559	182	3	than	than	ADP
ajst-32559	182	4	2	2	NUM
ajst-32559	182	5	,	,	PUNCT
ajst-32559	182	6	indicating	indicate	VERB
ajst-32559	182	7	that	that	SCONJ
ajst-32559	182	8	they	they	PRON
ajst-32559	182	9	have	have	VERB
ajst-32559	182	10	high	high	ADJ
ajst-32559	182	11	multicollinearity	multicollinearity	NOUN
ajst-32559	182	12	.	.	PUNCT
ajst-32559	183	1	due	due	ADP
ajst-32559	183	2	to	to	ADP
ajst-32559	183	3	having	have	VERB
ajst-32559	183	4	the	the	DET
ajst-32559	183	5	greatest	great	ADJ
ajst-32559	183	6	vif	vif	NOUN
ajst-32559	183	7	,	,	PUNCT
ajst-32559	183	8	the	the	DET
ajst-32559	183	9	variable	variable	ADJ
ajst-32559	183	10	sex	sex	NOUN
ajst-32559	183	11	is	be	AUX
ajst-32559	183	12	decided	decide	VERB
ajst-32559	183	13	to	to	PART
ajst-32559	183	14	be	be	AUX
ajst-32559	183	15	deleted	delete	VERB
ajst-32559	183	16	first	first	ADV
ajst-32559	183	17	.	.	PUNCT
ajst-32559	184	1	table	table	NOUN
ajst-32559	184	2	6	6	NUM
ajst-32559	184	3	.	.	PUNCT
ajst-32559	185	1	summary	summary	NOUN
ajst-32559	185	2	of	of	ADP
ajst-32559	185	3	logistic	logistic	ADJ
ajst-32559	185	4	regression	regression	NOUN
ajst-32559	185	5	without	without	ADP
ajst-32559	185	6	the	the	DET
ajst-32559	185	7	variable	variable	ADJ
ajst-32559	185	8	sex	sex	NOUN
ajst-32559	185	9	estimate	estimate	NOUN
ajst-32559	185	10	std	std	NOUN
ajst-32559	185	11	.	.	NOUN
ajst-32559	185	12	error	error	NOUN
ajst-32559	185	13	z	z	NOUN
ajst-32559	185	14	value	value	NOUN
ajst-32559	185	15	p(r>|z|	p(r>|z|	NOUN
ajst-32559	185	16	)	)	PUNCT
ajst-32559	185	17	intercept	intercept	VERB
ajst-32559	185	18	4.086558	4.086558	NUM
ajst-32559	185	19	0.665348	0.665348	NUM
ajst-32559	185	20	6.142	6.142	NUM
ajst-32559	185	21	8.15e-10	8.15e-10	NUM
ajst-32559	185	22	age	age	NOUN
ajst-32559	185	23	-0.028352	-0.028352	VERB
ajst-32559	185	24	0.009274	0.009274	NUM
ajst-32559	185	25	-3.057	-3.057	NUM
ajst-32559	185	26	0.00224	0.00224	NUM
ajst-32559	185	27	sibsp	sibsp	NOUN
ajst-32559	185	28	-0.595756	-0.595756	VERB
ajst-32559	185	29	0.132282	0.132282	NUM
ajst-32559	185	30	-4.504	-4.504	NUM
ajst-32559	185	31	6.68e-06	6.68e-06	NUM
ajst-32559	185	32	embarkedq	embarkedq	NOUN
ajst-32559	185	33	-0.094286	-0.094286	NOUN
ajst-32559	186	1	0.416901	0.416901	NUM
ajst-32559	186	2	-0.226	-0.226	NUM
ajst-32559	186	3	0.82108	0.82108	NUM
ajst-32559	186	4	embarkeds	embarked	NOUN
ajst-32559	186	5	-0.506297	-0.506297	NOUN
ajst-32559	186	6	0.276730	0.276730	NUM
ajst-32559	186	7	-1.830	-1.830	NOUN
ajst-32559	186	8	0.06731	0.06731	NUM
ajst-32559	186	9	titlemiss	titlemiss	ADJ
ajst-32559	186	10	-0.367633	-0.367633	X
ajst-32559	186	11	0.536004	0.536004	NUM
ajst-32559	186	12	-0.686	-0.686	PUNCT
ajst-32559	186	13	0.49279	0.49279	NUM
ajst-32559	186	14	titlemr	titlemr	NOUN
ajst-32559	186	15	-3.187535	-3.187535	VERB
ajst-32559	186	16	0.578979	0.578979	NUM
ajst-32559	186	17	-5.505	-5.505	NUM
ajst-32559	186	18	3.68e-08	3.68e-08	NUM
ajst-32559	186	19	titlemrs	titlemrs	NOUN
ajst-32559	186	20	0.240029	0.240029	NUM
ajst-32559	186	21	0.597660	0.597660	NUM
ajst-32559	186	22	0.402	0.402	NUM
ajst-32559	186	23	0.68797	0.68797	NUM
ajst-32559	186	24	titlerare	titlerare	NOUN
ajst-32559	186	25	title	title	NOUN
ajst-32559	186	26	-2.192502	-2.192502	VERB
ajst-32559	186	27	0.786834	0.786834	NUM
ajst-32559	186	28	-2.786	-2.786	NUM
ajst-32559	186	29	0.00533	0.00533	NUM
ajst-32559	186	30	cabinlevell2	cabinlevell2	NOUN
ajst-32559	186	31	1.195867	1.195867	NUM
ajst-32559	186	32	0.465500	0.465500	NUM
ajst-32559	186	33	2.569	2.569	NUM
ajst-32559	186	34	0.01020	0.01020	NUM
ajst-32559	186	35	cabinlevell3	cabinlevell3	NOUN
ajst-32559	186	36	0.938572	0.938572	NUM
ajst-32559	186	37	0.750470	0.750470	NUM
ajst-32559	186	38	1.251	1.251	NUM
ajst-32559	186	39	0.21106	0.21106	NUM
ajst-32559	186	40	table	table	NOUN
ajst-32559	186	41	7	7	NUM
ajst-32559	186	42	.	.	PUNCT
ajst-32559	186	43	vif	vif	NOUN
ajst-32559	186	44	of	of	ADP
ajst-32559	186	45	the	the	DET
ajst-32559	186	46	logistic	logistic	ADJ
ajst-32559	186	47	regression	regression	NOUN
ajst-32559	186	48	without	without	ADP
ajst-32559	186	49	the	the	DET
ajst-32559	186	50	variable	variable	ADJ
ajst-32559	186	51	sex	sex	NOUN
ajst-32559	186	52	gvif	gvif	NOUN
ajst-32559	186	53	df	df	NOUN
ajst-32559	186	54	gvif^(1/(2*df	gvif^(1/(2*df	ADJ
ajst-32559	186	55	)	)	PUNCT
ajst-32559	186	56	)	)	PUNCT
ajst-32559	186	57	pclass	pclass	NOUN
ajst-32559	186	58	20.024436	20.024436	NUM
ajst-32559	186	59	2	2	NUM
ajst-32559	186	60	2.115388	2.115388	NUM
ajst-32559	186	61	age	age	NOUN
ajst-32559	186	62	1.892119	1.892119	NUM
ajst-32559	186	63	1	1	NUM
ajst-32559	186	64	1.375543	1.375543	NUM
ajst-32559	186	65	sibsp	sibsp	NOUN
ajst-32559	186	66	1.575753	1.575753	NUM
ajst-32559	186	67	1	1	NUM
ajst-32559	186	68	1.255290	1.255290	NUM
ajst-32559	186	69	embarked	embark	VERB
ajst-32559	186	70	1.329332	1.329332	NUM
ajst-32559	186	71	2	2	NUM
ajst-32559	186	72	1.073763	1.073763	NUM
ajst-32559	186	73	title	title	NOUN
ajst-32559	186	74	2.421077	2.421077	NUM
ajst-32559	186	75	4	4	NUM
ajst-32559	186	76	1.116866	1.116866	NUM
ajst-32559	186	77	cabinlevel	cabinlevel	NOUN
ajst-32559	186	78	17.793655	17.793655	NUM
ajst-32559	186	79	2	2	NUM
ajst-32559	186	80	2.053839	2.053839	NUM
ajst-32559	186	81	table	table	NOUN
ajst-32559	186	82	8	8	NUM
ajst-32559	186	83	.	.	PUNCT
ajst-32559	187	1	confusion	confusion	NOUN
ajst-32559	187	2	matrix	matrix	NOUN
ajst-32559	187	3	of	of	ADP
ajst-32559	187	4	the	the	DET
ajst-32559	187	5	logistic	logistic	ADJ
ajst-32559	187	6	regression	regression	NOUN
ajst-32559	187	7	without	without	ADP
ajst-32559	187	8	the	the	DET
ajst-32559	187	9	variable	variable	ADJ
ajst-32559	187	10	sex	sex	NOUN
ajst-32559	187	11	actual	actual	ADJ
ajst-32559	187	12	:	:	PUNCT
ajst-32559	187	13	0	0	NUM
ajst-32559	187	14	actual	actual	ADJ
ajst-32559	187	15	:	:	PUNCT
ajst-32559	187	16	1	1	NUM
ajst-32559	187	17	predicted	predict	VERB
ajst-32559	187	18	:	:	PUNCT
ajst-32559	187	19	0	0	NUM
ajst-32559	187	20	99	99	NUM
ajst-32559	187	21	11	11	NUM
ajst-32559	187	22	predicted	predict	VERB
ajst-32559	187	23	:	:	PUNCT
ajst-32559	187	24	1	1	NUM
ajst-32559	187	25	17	17	NUM
ajst-32559	187	26	51	51	NUM
ajst-32559	187	27	with	with	ADP
ajst-32559	187	28	sex	sex	NOUN
ajst-32559	187	29	removed	remove	VERB
ajst-32559	187	30	,	,	PUNCT
ajst-32559	187	31	most	most	ADJ
ajst-32559	187	32	of	of	ADP
ajst-32559	187	33	the	the	DET
ajst-32559	187	34	variables	variable	NOUN
ajst-32559	187	35	’	'	PUNCT
ajst-32559	187	36	vif	vif	NOUN
ajst-32559	187	37	returned	return	VERB
ajst-32559	187	38	to	to	ADP
ajst-32559	187	39	normal	normal	ADJ
ajst-32559	187	40	,	,	PUNCT
ajst-32559	187	41	resulting	result	VERB
ajst-32559	187	42	in	in	ADP
ajst-32559	187	43	an	an	DET
ajst-32559	187	44	accuracy	accuracy	NOUN
ajst-32559	187	45	of	of	ADP
ajst-32559	187	46	85.39	85.39	NUM
ajst-32559	187	47	%	%	NOUN
ajst-32559	187	48	.	.	PUNCT
ajst-32559	187	49	,	,	PUNCT
ajst-32559	187	50	which	which	PRON
ajst-32559	187	51	slightly	slightly	ADV
ajst-32559	187	52	improves	improve	VERB
ajst-32559	187	53	the	the	DET
ajst-32559	187	54	previous	previous	ADJ
ajst-32559	187	55	accuracy	accuracy	NOUN
ajst-32559	187	56	.	.	PUNCT
ajst-32559	188	1	moreover	moreover	ADV
ajst-32559	188	2	,	,	PUNCT
ajst-32559	188	3	we	we	PRON
ajst-32559	188	4	chose	choose	VERB
ajst-32559	188	5	to	to	PART
ajst-32559	188	6	remove	remove	VERB
ajst-32559	188	7	the	the	DET
ajst-32559	188	8	variable	variable	ADJ
ajst-32559	188	9	pclass	pclass	NOUN
ajst-32559	188	10	from	from	ADP
ajst-32559	188	11	the	the	DET
ajst-32559	188	12	model	model	NOUN
ajst-32559	188	13	,	,	PUNCT
ajst-32559	188	14	so	so	SCONJ
ajst-32559	188	15	that	that	SCONJ
ajst-32559	188	16	the	the	DET
ajst-32559	188	17	vif	vif	NOUN
ajst-32559	188	18	of	of	ADP
ajst-32559	188	19	cabinlevel	cabinlevel	NOUN
ajst-32559	188	20	can	can	AUX
ajst-32559	188	21	return	return	VERB
ajst-32559	188	22	to	to	ADP
ajst-32559	188	23	normal	normal	ADJ
ajst-32559	188	24	.	.	PUNCT
ajst-32559	189	1	table	table	NOUN
ajst-32559	189	2	9	9	NUM
ajst-32559	189	3	.	.	PUNCT
ajst-32559	190	1	summary	summary	NOUN
ajst-32559	190	2	of	of	ADP
ajst-32559	190	3	logistic	logistic	ADJ
ajst-32559	190	4	regression	regression	NOUN
ajst-32559	190	5	without	without	ADP
ajst-32559	190	6	sex	sex	NOUN
ajst-32559	190	7	and	and	CCONJ
ajst-32559	190	8	pclass	pclass	NOUN
ajst-32559	190	9	estimate	estimate	NOUN
ajst-32559	190	10	std	std	PROPN
ajst-32559	190	11	.	.	NOUN
ajst-32559	190	12	error	error	NOUN
ajst-32559	190	13	z	z	NOUN
ajst-32559	190	14	value	value	NOUN
ajst-32559	190	15	p(r>|z|	p(r>|z|	NOUN
ajst-32559	190	16	)	)	PUNCT
ajst-32559	190	17	intercept	intercept	VERB
ajst-32559	190	18	3.224110	3.224110	NUM
ajst-32559	190	19	0.692892	0.692892	NUM
ajst-32559	190	20	4.653	4.653	NUM
ajst-32559	190	21	3.27	3.27	NUM
ajst-32559	190	22	e-06	e-06	NOUN
ajst-32559	190	23	age	age	NOUN
ajst-32559	190	24	-0.018178	-0.018178	NOUN
ajst-32559	190	25	0.008641	0.008641	NUM
ajst-32559	190	26	-2.104	-2.104	NOUN
ajst-32559	190	27	0.03540	0.03540	NUM
ajst-32559	190	28	sibsp	sibsp	NOUN
ajst-32559	190	29	-0.609033	-0.609033	VERB
ajst-32559	190	30	0.137915	0.137915	NUM
ajst-32559	190	31	-4.416	-4.416	NUM
ajst-32559	190	32	1.01e-05	1.01e-05	NUM
ajst-32559	190	33	parch	parch	NOUN
ajst-32559	190	34	-0.252453	-0.252453	NOUN
ajst-32559	190	35	0.154804	0.154804	NUM
ajst-32559	190	36	-1.631	-1.631	NOUN
ajst-32559	190	37	0.10294	0.10294	NUM
ajst-32559	190	38	fare	fare	VERB
ajst-32559	190	39	0.006524	0.006524	NUM
ajst-32559	190	40	0.003316	0.003316	NUM
ajst-32559	190	41	1.968	1.968	NUM
ajst-32559	190	42	0.04909	0.04909	NUM
ajst-32559	190	43	titlemiss	titlemiss	ADJ
ajst-32559	190	44	-0.556738	-0.556738	NOUN
ajst-32559	190	45	0.550468	0.550468	NUM
ajst-32559	190	46	-1.011	-1.011	NUM
ajst-32559	190	47	0.31183	0.31183	NUM
ajst-32559	190	48	titlemr	titlemr	NOUN
ajst-32559	190	49	-3.411810	-3.411810	VERB
ajst-32559	190	50	0.592139	0.592139	NUM
ajst-32559	190	51	-5.762	-5.762	NUM
ajst-32559	190	52	8.32e-09	8.32e-09	NUM
ajst-32559	190	53	titlemrs	titlemrs	NOUN
ajst-32559	190	54	-0.057471	-0.057471	NOUN
ajst-32559	190	55	0.600382	0.600382	NUM
ajst-32559	190	56	-0.096	-0.096	NOUN
ajst-32559	190	57	0.92374	0.92374	NUM
ajst-32559	190	58	titlerare	titlerare	NOUN
ajst-32559	190	59	title	title	NOUN
ajst-32559	190	60	-2.436133	-2.436133	VERB
ajst-32559	191	1	0.787148	0.787148	NUM
ajst-32559	191	2	-3.095	-3.095	NOUN
ajst-32559	191	3	0.00197	0.00197	NUM
ajst-32559	191	4	cabinlevell2	cabinlevell2	NOUN
ajst-32559	191	5	-0.109180	-0.109180	VERB
ajst-32559	191	6	0.349184	0.349184	NUM
ajst-32559	191	7	-0.313	-0.313	PUNCT
ajst-32559	191	8	0.75453	0.75453	NUM
ajst-32559	191	9	cabinlevell3	cabinlevell3	NOUN
ajst-32559	191	10	-1.661581	-1.661581	PROPN
ajst-32559	192	1	0.380261	0.380261	NUM
ajst-32559	192	2	-4.370	-4.370	NUM
ajst-32559	192	3	1.24e-05	1.24e-05	NUM
ajst-32559	192	4	155	155	NUM
ajst-32559	192	5	table	table	NOUN
ajst-32559	192	6	10	10	NUM
ajst-32559	192	7	.	.	PUNCT
ajst-32559	193	1	vif	vif	NOUN
ajst-32559	193	2	of	of	ADP
ajst-32559	193	3	the	the	DET
ajst-32559	193	4	logistic	logistic	ADJ
ajst-32559	193	5	regression	regression	NOUN
ajst-32559	193	6	without	without	ADP
ajst-32559	193	7	sex	sex	NOUN
ajst-32559	193	8	and	and	CCONJ
ajst-32559	193	9	pclass	pclass	NOUN
ajst-32559	193	10	gvif	gvif	NOUN
ajst-32559	193	11	df	df	PROPN
ajst-32559	193	12	gvif^(1/(2*df	gvif^(1/(2*df	ADJ
ajst-32559	193	13	)	)	PUNCT
ajst-32559	193	14	)	)	PUNCT
ajst-32559	193	15	age	age	NOUN
ajst-32559	193	16	1.676879	1.676879	NUM
ajst-32559	193	17	1	1	NUM
ajst-32559	193	18	1.294944	1.294944	NUM
ajst-32559	193	19	sibsp	sibsp	NOUN
ajst-32559	193	20	1.690754	1.690754	NUM
ajst-32559	193	21	1	1	NUM
ajst-32559	193	22	1.300290	1.300290	NUM
ajst-32559	193	23	parch	parch	NOUN
ajst-32559	193	24	1.460056	1.460056	NUM
ajst-32559	193	25	1	1	NUM
ajst-32559	193	26	1.208328	1.208328	NUM
ajst-32559	193	27	fare	fare	NOUN
ajst-32559	193	28	1.758736	1.758736	NUM
ajst-32559	193	29	1	1	NUM
ajst-32559	193	30	1.326174	1.326174	NUM
ajst-32559	193	31	title	title	NOUN
ajst-32559	193	32	2.535778	2.535778	NUM
ajst-32559	193	33	4	4	NUM
ajst-32559	193	34	1.123347	1.123347	NUM
ajst-32559	193	35	cabinlevel	cabinlevel	NOUN
ajst-32559	193	36	2.046565	2.046565	NUM
ajst-32559	193	37	2	2	NUM
ajst-32559	193	38	1.196069	1.196069	NUM
ajst-32559	193	39	table	table	NOUN
ajst-32559	193	40	11	11	NUM
ajst-32559	193	41	.	.	PUNCT
ajst-32559	194	1	durbin	durbin	ADJ
ajst-32559	194	2	-	-	PUNCT
ajst-32559	194	3	watson	watson	PROPN
ajst-32559	194	4	test	test	NOUN
ajst-32559	194	5	of	of	ADP
ajst-32559	194	6	logistic	logistic	ADJ
ajst-32559	194	7	regression	regression	NOUN
ajst-32559	194	8	without	without	ADP
ajst-32559	194	9	sex	sex	NOUN
ajst-32559	194	10	and	and	CCONJ
ajst-32559	194	11	pclass	pclass	NOUN
ajst-32559	194	12	lag	lag	NOUN
ajst-32559	194	13	autocorrelation	autocorrelation	NOUN
ajst-32559	194	14	d	d	PROPN
ajst-32559	194	15	-	-	PUNCT
ajst-32559	194	16	w	w	PROPN
ajst-32559	194	17	statistic	statistic	NOUN
ajst-32559	194	18	p	p	NOUN
ajst-32559	194	19	-	-	PUNCT
ajst-32559	194	20	value	value	NOUN
ajst-32559	194	21	1	1	NUM
ajst-32559	194	22	0.02589857	0.02589857	NUM
ajst-32559	194	23	1.947721	1.947721	NUM
ajst-32559	194	24	0.466	0.466	NUM
ajst-32559	194	25	table	table	NOUN
ajst-32559	194	26	12	12	NUM
ajst-32559	194	27	.	.	PUNCT
ajst-32559	195	1	confusion	confusion	NOUN
ajst-32559	195	2	matrix	matrix	NOUN
ajst-32559	195	3	of	of	ADP
ajst-32559	195	4	the	the	DET
ajst-32559	195	5	logistic	logistic	ADJ
ajst-32559	195	6	regression	regression	NOUN
ajst-32559	195	7	without	without	ADP
ajst-32559	195	8	sex	sex	NOUN
ajst-32559	195	9	and	and	CCONJ
ajst-32559	195	10	pclass	pclass	NOUN
ajst-32559	195	11	actual	actual	ADJ
ajst-32559	195	12	:	:	PUNCT
ajst-32559	195	13	0	0	NUM
ajst-32559	195	14	actual	actual	ADJ
ajst-32559	195	15	:	:	PUNCT
ajst-32559	195	16	1	1	NUM
ajst-32559	195	17	predicted	predict	VERB
ajst-32559	195	18	:	:	PUNCT
ajst-32559	195	19	0	0	NUM
ajst-32559	195	20	101	101	NUM
ajst-32559	195	21	9	9	NUM
ajst-32559	195	22	predicted	predict	VERB
ajst-32559	195	23	:	:	PUNCT
ajst-32559	195	24	1	1	NUM
ajst-32559	195	25	16	16	NUM
ajst-32559	195	26	52	52	NUM
ajst-32559	195	27	the	the	DET
ajst-32559	195	28	resulting	result	VERB
ajst-32559	195	29	accuracy	accuracy	NOUN
ajst-32559	195	30	is	be	AUX
ajst-32559	195	31	improved	improve	VERB
ajst-32559	195	32	to	to	ADP
ajst-32559	195	33	85.96	85.96	NUM
ajst-32559	195	34	%	%	NOUN
ajst-32559	195	35	,	,	PUNCT
ajst-32559	195	36	which	which	PRON
ajst-32559	195	37	is	be	AUX
ajst-32559	195	38	marginally	marginally	ADV
ajst-32559	195	39	better	well	ADJ
ajst-32559	195	40	than	than	ADP
ajst-32559	195	41	the	the	DET
ajst-32559	195	42	preceding	precede	VERB
ajst-32559	195	43	versions	version	NOUN
ajst-32559	195	44	.	.	PUNCT
ajst-32559	196	1	the	the	DET
ajst-32559	196	2	following	follow	VERB
ajst-32559	196	3	graph	graph	NOUN
ajst-32559	196	4	depicts	depict	VERB
ajst-32559	196	5	the	the	DET
ajst-32559	196	6	roc	roc	PROPN
ajst-32559	196	7	curves	curve	NOUN
ajst-32559	196	8	of	of	ADP
ajst-32559	196	9	the	the	DET
ajst-32559	196	10	three	three	NUM
ajst-32559	196	11	versions	version	NOUN
ajst-32559	196	12	,	,	PUNCT
ajst-32559	196	13	which	which	PRON
ajst-32559	196	14	shows	show	VERB
ajst-32559	196	15	the	the	DET
ajst-32559	196	16	accuracy	accuracy	NOUN
ajst-32559	196	17	of	of	ADP
ajst-32559	196	18	our	our	PRON
ajst-32559	196	19	model	model	NOUN
ajst-32559	196	20	.	.	PUNCT
ajst-32559	197	1	the	the	DET
ajst-32559	197	2	true	true	ADJ
ajst-32559	197	3	positive	positive	ADJ
ajst-32559	197	4	rate	rate	NOUN
ajst-32559	197	5	is	be	AUX
ajst-32559	197	6	the	the	DET
ajst-32559	197	7	proportion	proportion	NOUN
ajst-32559	197	8	of	of	ADP
ajst-32559	197	9	predictions	prediction	NOUN
ajst-32559	197	10	that	that	PRON
ajst-32559	197	11	correctly	correctly	ADV
ajst-32559	197	12	predict	predict	VERB
ajst-32559	197	13	to	to	PART
ajst-32559	197	14	be	be	AUX
ajst-32559	197	15	true	true	ADJ
ajst-32559	197	16	,	,	PUNCT
ajst-32559	197	17	whereas	whereas	SCONJ
ajst-32559	197	18	the	the	DET
ajst-32559	197	19	false	false	ADJ
ajst-32559	197	20	positive	positive	ADJ
ajst-32559	197	21	rate	rate	NOUN
ajst-32559	197	22	is	be	AUX
ajst-32559	197	23	the	the	DET
ajst-32559	197	24	proportion	proportion	NOUN
ajst-32559	197	25	of	of	ADP
ajst-32559	197	26	predictions	prediction	NOUN
ajst-32559	197	27	that	that	PRON
ajst-32559	197	28	predict	predict	VERB
ajst-32559	197	29	to	to	PART
ajst-32559	197	30	be	be	AUX
ajst-32559	197	31	true	true	ADJ
ajst-32559	197	32	yet	yet	ADV
ajst-32559	197	33	false	false	ADJ
ajst-32559	197	34	.	.	PUNCT
ajst-32559	198	1	our	our	PRON
ajst-32559	198	2	final	final	ADJ
ajst-32559	198	3	model	model	NOUN
ajst-32559	198	4	has	have	VERB
ajst-32559	198	5	the	the	DET
ajst-32559	198	6	most	most	ADJ
ajst-32559	198	7	area	area	NOUN
ajst-32559	198	8	under	under	ADP
ajst-32559	198	9	curve	curve	NOUN
ajst-32559	198	10	(	(	PUNCT
ajst-32559	198	11	auc	auc	NOUN
ajst-32559	198	12	)	)	PUNCT
ajst-32559	198	13	of	of	ADP
ajst-32559	198	14	0.883	0.883	NUM
ajst-32559	198	15	,	,	PUNCT
ajst-32559	198	16	which	which	PRON
ajst-32559	198	17	means	mean	VERB
ajst-32559	198	18	that	that	SCONJ
ajst-32559	198	19	it	it	PRON
ajst-32559	198	20	has	have	VERB
ajst-32559	198	21	the	the	DET
ajst-32559	198	22	best	good	ADJ
ajst-32559	198	23	accuracy	accuracy	NOUN
ajst-32559	198	24	.	.	PUNCT
ajst-32559	199	1	figure	figure	NOUN
ajst-32559	199	2	13	13	NUM
ajst-32559	199	3	.	.	PUNCT
ajst-32559	200	1	roc	roc	PROPN
ajst-32559	200	2	curves	curve	NOUN
ajst-32559	200	3	of	of	ADP
ajst-32559	200	4	the	the	DET
ajst-32559	200	5	logistic	logistic	ADJ
ajst-32559	200	6	regression	regression	NOUN
ajst-32559	200	7	models	model	VERB
ajst-32559	200	8	4.2	4.2	NUM
ajst-32559	200	9	decision	decision	NOUN
ajst-32559	200	10	tree	tree	NOUN
ajst-32559	200	11	initially	initially	ADV
ajst-32559	200	12	,	,	PUNCT
ajst-32559	200	13	the	the	DET
ajst-32559	200	14	default	default	NOUN
ajst-32559	200	15	code	code	NOUN
ajst-32559	200	16	is	be	AUX
ajst-32559	200	17	used	use	VERB
ajst-32559	200	18	to	to	PART
ajst-32559	200	19	predict	predict	VERB
ajst-32559	200	20	the	the	DET
ajst-32559	200	21	results	result	NOUN
ajst-32559	200	22	.	.	PUNCT
ajst-32559	201	1	the	the	DET
ajst-32559	201	2	accuracy	accuracy	NOUN
ajst-32559	201	3	of	of	ADP
ajst-32559	201	4	prediction	prediction	NOUN
ajst-32559	201	5	is	be	AUX
ajst-32559	201	6	80.34	80.34	NUM
ajst-32559	201	7	%	%	NOUN
ajst-32559	201	8	,	,	PUNCT
ajst-32559	201	9	which	which	PRON
ajst-32559	201	10	is	be	AUX
ajst-32559	201	11	not	not	PART
ajst-32559	201	12	ideal	ideal	ADJ
ajst-32559	201	13	.	.	PUNCT
ajst-32559	202	1	thus	thus	ADV
ajst-32559	202	2	,	,	PUNCT
ajst-32559	202	3	we	we	PRON
ajst-32559	202	4	altered	alter	VERB
ajst-32559	202	5	the	the	DET
ajst-32559	202	6	maximum	maximum	ADJ
ajst-32559	202	7	depth	depth	NOUN
ajst-32559	202	8	of	of	ADP
ajst-32559	202	9	the	the	DET
ajst-32559	202	10	tree	tree	NOUN
ajst-32559	202	11	and	and	CCONJ
ajst-32559	202	12	found	find	VERB
ajst-32559	202	13	out	out	ADP
ajst-32559	202	14	that	that	SCONJ
ajst-32559	202	15	at	at	ADP
ajst-32559	202	16	a	a	DET
ajst-32559	202	17	maximum	maximum	ADJ
ajst-32559	202	18	depth	depth	NOUN
ajst-32559	202	19	of	of	ADP
ajst-32559	202	20	5	5	NUM
ajst-32559	202	21	,	,	PUNCT
ajst-32559	202	22	the	the	DET
ajst-32559	202	23	model	model	NOUN
ajst-32559	202	24	reaches	reach	VERB
ajst-32559	202	25	the	the	DET
ajst-32559	202	26	highest	high	ADJ
ajst-32559	202	27	accuracy	accuracy	NOUN
ajst-32559	202	28	of	of	ADP
ajst-32559	202	29	83.15	83.15	NUM
ajst-32559	202	30	%	%	NOUN
ajst-32559	202	31	.	.	PUNCT
ajst-32559	203	1	table	table	NOUN
ajst-32559	203	2	13	13	NUM
ajst-32559	203	3	.	.	PUNCT
ajst-32559	204	1	confusion	confusion	NOUN
ajst-32559	204	2	matrix	matrix	NOUN
ajst-32559	204	3	of	of	ADP
ajst-32559	204	4	the	the	DET
ajst-32559	204	5	default	default	NOUN
ajst-32559	204	6	code	code	NOUN
ajst-32559	204	7	actual	actual	ADJ
ajst-32559	204	8	:	:	PUNCT
ajst-32559	204	9	0	0	NUM
ajst-32559	204	10	actual	actual	ADJ
ajst-32559	204	11	:	:	PUNCT
ajst-32559	204	12	1	1	NUM
ajst-32559	204	13	predicted	predict	VERB
ajst-32559	204	14	:	:	PUNCT
ajst-32559	204	15	0	0	NUM
ajst-32559	204	16	94	94	NUM
ajst-32559	204	17	16	16	NUM
ajst-32559	204	18	predicted	predict	VERB
ajst-32559	204	19	:	:	PUNCT
ajst-32559	204	20	1	1	NUM
ajst-32559	204	21	19	19	NUM
ajst-32559	204	22	49	49	NUM
ajst-32559	204	23	table	table	NOUN
ajst-32559	204	24	14	14	NUM
ajst-32559	204	25	.	.	PUNCT
ajst-32559	205	1	confusion	confusion	NOUN
ajst-32559	205	2	matrix	matrix	NOUN
ajst-32559	205	3	with	with	ADP
ajst-32559	205	4	maxdepth	maxdepth	NOUN
ajst-32559	205	5	=	=	SYM
ajst-32559	205	6	5	5	NUM
ajst-32559	205	7	actual	actual	ADJ
ajst-32559	205	8	:	:	PUNCT
ajst-32559	205	9	0	0	NUM
ajst-32559	205	10	actual	actual	ADJ
ajst-32559	205	11	:	:	PUNCT
ajst-32559	205	12	1	1	NUM
ajst-32559	205	13	predicted	predict	VERB
ajst-32559	205	14	:	:	PUNCT
ajst-32559	205	15	0	0	NUM
ajst-32559	205	16	100	100	NUM
ajst-32559	205	17	10	10	NUM
ajst-32559	205	18	predicted	predict	VERB
ajst-32559	205	19	:	:	PUNCT
ajst-32559	205	20	1	1	NUM
ajst-32559	205	21	20	20	NUM
ajst-32559	205	22	48	48	NUM
ajst-32559	205	23	156	156	NUM
ajst-32559	205	24	figure	figure	NOUN
ajst-32559	205	25	14	14	NUM
ajst-32559	205	26	.	.	PUNCT
ajst-32559	206	1	default	default	NOUN
ajst-32559	206	2	decision	decision	NOUN
ajst-32559	206	3	tree	tree	NOUN
ajst-32559	206	4	;	;	PUNCT
ajst-32559	206	5	figure	figure	VERB
ajst-32559	206	6	15	15	NUM
ajst-32559	206	7	.	.	PUNCT
ajst-32559	207	1	decision	decision	NOUN
ajst-32559	207	2	tree	tree	NOUN
ajst-32559	207	3	with	with	ADP
ajst-32559	207	4	maxdepth	maxdepth	NOUN
ajst-32559	207	5	=	=	PUNCT
ajst-32559	207	6	5	5	NUM
ajst-32559	207	7	the	the	DET
ajst-32559	207	8	initial	initial	ADJ
ajst-32559	207	9	tree	tree	NOUN
ajst-32559	207	10	shown	show	VERB
ajst-32559	207	11	in	in	ADP
ajst-32559	207	12	figure	figure	NOUN
ajst-32559	207	13	14	14	NUM
ajst-32559	207	14	has	have	VERB
ajst-32559	207	15	a	a	DET
ajst-32559	207	16	depth	depth	NOUN
ajst-32559	207	17	of	of	ADP
ajst-32559	207	18	3	3	NUM
ajst-32559	207	19	and	and	CCONJ
ajst-32559	207	20	4	4	NUM
ajst-32559	207	21	leaf	leaf	NOUN
ajst-32559	207	22	nodes	node	NOUN
ajst-32559	207	23	,	,	PUNCT
ajst-32559	207	24	whereas	whereas	SCONJ
ajst-32559	207	25	the	the	DET
ajst-32559	207	26	latter	latter	ADJ
ajst-32559	207	27	one	one	NOUN
ajst-32559	207	28	has	have	VERB
ajst-32559	207	29	a	a	DET
ajst-32559	207	30	depth	depth	NOUN
ajst-32559	207	31	of	of	ADP
ajst-32559	207	32	5	5	NUM
ajst-32559	207	33	and	and	CCONJ
ajst-32559	207	34	6	6	NUM
ajst-32559	207	35	leaf	leaf	NOUN
ajst-32559	207	36	nodes	node	NOUN
ajst-32559	207	37	.	.	PUNCT
ajst-32559	208	1	this	this	PRON
ajst-32559	208	2	suggests	suggest	VERB
ajst-32559	208	3	that	that	SCONJ
ajst-32559	208	4	the	the	DET
ajst-32559	208	5	default	default	NOUN
ajst-32559	208	6	model	model	NOUN
ajst-32559	208	7	has	have	VERB
ajst-32559	208	8	insufficient	insufficient	ADJ
ajst-32559	208	9	splits	split	NOUN
ajst-32559	208	10	to	to	PART
ajst-32559	208	11	make	make	VERB
ajst-32559	208	12	accurate	accurate	ADJ
ajst-32559	208	13	predictions	prediction	NOUN
ajst-32559	208	14	.	.	PUNCT
ajst-32559	209	1	furthermore	furthermore	ADV
ajst-32559	209	2	,	,	PUNCT
ajst-32559	209	3	we	we	PRON
ajst-32559	209	4	decided	decide	VERB
ajst-32559	209	5	to	to	PART
ajst-32559	209	6	change	change	VERB
ajst-32559	209	7	the	the	DET
ajst-32559	209	8	complexity	complexity	NOUN
ajst-32559	209	9	parameter	parameter	NOUN
ajst-32559	209	10	(	(	PUNCT
ajst-32559	209	11	cp	cp	NOUN
ajst-32559	209	12	)	)	PUNCT
ajst-32559	209	13	of	of	ADP
ajst-32559	209	14	our	our	PRON
ajst-32559	209	15	model	model	NOUN
ajst-32559	209	16	,	,	PUNCT
ajst-32559	209	17	and	and	CCONJ
ajst-32559	209	18	the	the	DET
ajst-32559	209	19	best	good	ADJ
ajst-32559	209	20	result	result	NOUN
ajst-32559	209	21	is	be	AUX
ajst-32559	209	22	when	when	SCONJ
ajst-32559	209	23	cp	cp	PROPN
ajst-32559	209	24	is	be	AUX
ajst-32559	209	25	equal	equal	ADJ
ajst-32559	209	26	to	to	ADP
ajst-32559	209	27	0.001	0.001	NUM
ajst-32559	209	28	.	.	PUNCT
ajst-32559	210	1	the	the	DET
ajst-32559	210	2	model	model	NOUN
ajst-32559	210	3	now	now	ADV
ajst-32559	210	4	has	have	VERB
ajst-32559	210	5	a	a	DET
ajst-32559	210	6	depth	depth	NOUN
ajst-32559	210	7	of	of	ADP
ajst-32559	210	8	9	9	NUM
ajst-32559	210	9	,	,	PUNCT
ajst-32559	210	10	and	and	CCONJ
ajst-32559	210	11	an	an	DET
ajst-32559	210	12	accuracy	accuracy	NOUN
ajst-32559	210	13	of	of	ADP
ajst-32559	210	14	84.62	84.62	NUM
ajst-32559	210	15	%	%	NOUN
ajst-32559	210	16	.	.	PUNCT
ajst-32559	211	1	figure	figure	NOUN
ajst-32559	211	2	16	16	NUM
ajst-32559	211	3	.	.	PUNCT
ajst-32559	212	1	decision	decision	NOUN
ajst-32559	212	2	tree	tree	NOUN
ajst-32559	212	3	with	with	ADP
ajst-32559	212	4	cp	cp	PROPN
ajst-32559	212	5	=	=	SYM
ajst-32559	212	6	0.001	0.001	NUM
ajst-32559	212	7	table	table	NOUN
ajst-32559	212	8	15	15	NUM
ajst-32559	212	9	.	.	PUNCT
ajst-32559	212	10	confusion	confusion	NOUN
ajst-32559	212	11	matrix	matrix	NOUN
ajst-32559	212	12	with	with	ADP
ajst-32559	212	13	cp	cp	PROPN
ajst-32559	212	14	=	=	SYM
ajst-32559	212	15	0.001	0.001	NUM
ajst-32559	212	16	actual	actual	ADJ
ajst-32559	212	17	:	:	PUNCT
ajst-32559	212	18	0	0	NUM
ajst-32559	212	19	actual	actual	ADJ
ajst-32559	212	20	:	:	PUNCT
ajst-32559	212	21	1	1	NUM
ajst-32559	212	22	predicted	predict	VERB
ajst-32559	212	23	:	:	PUNCT
ajst-32559	212	24	0	0	NUM
ajst-32559	212	25	247	247	NUM
ajst-32559	212	26	22	22	NUM
ajst-32559	212	27	predicted	predict	VERB
ajst-32559	212	28	:	:	PUNCT
ajst-32559	212	29	1	1	NUM
ajst-32559	212	30	19	19	NUM
ajst-32559	212	31	130	130	NUM
ajst-32559	212	32	4.3	4.3	NUM
ajst-32559	212	33	random	random	ADJ
ajst-32559	212	34	forest	forest	NOUN
ajst-32559	212	35	table	table	NOUN
ajst-32559	212	36	16	16	NUM
ajst-32559	212	37	.	.	PUNCT
ajst-32559	213	1	confusion	confusion	NOUN
ajst-32559	213	2	matrix	matrix	NOUN
ajst-32559	213	3	of	of	ADP
ajst-32559	213	4	the	the	DET
ajst-32559	213	5	random	random	ADJ
ajst-32559	213	6	forest	forest	NOUN
ajst-32559	213	7	model	model	NOUN
ajst-32559	213	8	actual	actual	ADJ
ajst-32559	213	9	:	:	PUNCT
ajst-32559	213	10	0	0	NUM
ajst-32559	213	11	actual	actual	ADJ
ajst-32559	213	12	:	:	PUNCT
ajst-32559	213	13	1	1	NUM
ajst-32559	213	14	predicted	predict	VERB
ajst-32559	213	15	:	:	PUNCT
ajst-32559	213	16	0	0	NUM
ajst-32559	213	17	247	247	NUM
ajst-32559	213	18	22	22	NUM
ajst-32559	213	19	predicted	predict	VERB
ajst-32559	213	20	:	:	PUNCT
ajst-32559	213	21	1	1	NUM
ajst-32559	213	22	19	19	NUM
ajst-32559	213	23	130	130	NUM
ajst-32559	213	24	random	random	ADJ
ajst-32559	213	25	forest	forest	NOUN
ajst-32559	213	26	is	be	AUX
ajst-32559	213	27	applied	apply	VERB
ajst-32559	213	28	aiming	aim	VERB
ajst-32559	213	29	to	to	PART
ajst-32559	213	30	mitigate	mitigate	VERB
ajst-32559	213	31	the	the	DET
ajst-32559	213	32	issue	issue	NOUN
ajst-32559	213	33	of	of	ADP
ajst-32559	213	34	overfitting	overfitte	VERB
ajst-32559	213	35	in	in	ADP
ajst-32559	213	36	decision	decision	NOUN
ajst-32559	213	37	trees	tree	NOUN
ajst-32559	213	38	and	and	CCONJ
ajst-32559	213	39	hence	hence	ADV
ajst-32559	213	40	improve	improve	VERB
ajst-32559	213	41	precision	precision	NOUN
ajst-32559	213	42	and	and	CCONJ
ajst-32559	213	43	stability	stability	NOUN
ajst-32559	213	44	.	.	PUNCT
ajst-32559	214	1	we	we	PRON
ajst-32559	214	2	first	first	ADV
ajst-32559	214	3	use	use	VERB
ajst-32559	214	4	the	the	DET
ajst-32559	214	5	default	default	NOUN
ajst-32559	214	6	value	value	NOUN
ajst-32559	214	7	of	of	ADP
ajst-32559	214	8	ntrees=	ntrees=	NUM
ajst-32559	214	9	500	500	NUM
ajst-32559	214	10	and	and	CCONJ
ajst-32559	214	11	ended	end	VERB
ajst-32559	214	12	up	up	ADP
ajst-32559	214	13	achieving	achieve	VERB
ajst-32559	214	14	an	an	DET
ajst-32559	214	15	accuracy	accuracy	NOUN
ajst-32559	214	16	of	of	ADP
ajst-32559	214	17	90.19	90.19	NUM
ajst-32559	214	18	%	%	NOUN
ajst-32559	214	19	.	.	PUNCT
ajst-32559	215	1	since	since	SCONJ
ajst-32559	215	2	the	the	DET
ajst-32559	215	3	gradient	gradient	NOUN
ajst-32559	215	4	of	of	ADP
ajst-32559	215	5	the	the	DET
ajst-32559	215	6	curve	curve	NOUN
ajst-32559	215	7	tends	tend	VERB
ajst-32559	215	8	to	to	PART
ajst-32559	215	9	reach	reach	VERB
ajst-32559	215	10	constant	constant	ADJ
ajst-32559	215	11	at	at	ADP
ajst-32559	215	12	200	200	NUM
ajst-32559	215	13	-	-	SYM
ajst-32559	215	14	500	500	NUM
ajst-32559	215	15	trees	tree	NOUN
ajst-32559	215	16	and	and	CCONJ
ajst-32559	215	17	157	157	NUM
ajst-32559	215	18	the	the	DET
ajst-32559	215	19	model	model	NOUN
ajst-32559	215	20	itself	itself	PRON
ajst-32559	215	21	is	be	AUX
ajst-32559	215	22	already	already	ADV
ajst-32559	215	23	robust	robust	ADJ
ajst-32559	215	24	,	,	PUNCT
ajst-32559	215	25	we	we	PRON
ajst-32559	215	26	decided	decide	VERB
ajst-32559	215	27	to	to	PART
ajst-32559	215	28	not	not	PART
ajst-32559	215	29	change	change	VERB
ajst-32559	215	30	the	the	DET
ajst-32559	215	31	value	value	NOUN
ajst-32559	215	32	in	in	ADP
ajst-32559	215	33	case	case	NOUN
ajst-32559	215	34	of	of	ADP
ajst-32559	215	35	any	any	DET
ajst-32559	215	36	unpredictable	unpredictable	ADJ
ajst-32559	215	37	changes	change	NOUN
ajst-32559	215	38	.	.	PUNCT
ajst-32559	216	1	figure	figure	VERB
ajst-32559	216	2	17	17	NUM
ajst-32559	216	3	.	.	PUNCT
ajst-32559	217	1	mean	mean	PROPN
ajst-32559	217	2	gini	gini	PROPN
ajst-32559	217	3	index	index	NOUN
ajst-32559	217	4	of	of	ADP
ajst-32559	217	5	features	feature	NOUN
ajst-32559	217	6	of	of	ADP
ajst-32559	217	7	variables	variable	NOUN
ajst-32559	217	8	in	in	ADP
ajst-32559	217	9	random	random	ADJ
ajst-32559	217	10	forest	forest	NOUN
ajst-32559	217	11	4.4	4.4	NUM
ajst-32559	217	12	support	support	NOUN
ajst-32559	217	13	vector	vector	NOUN
ajst-32559	217	14	machine	machine	NOUN
ajst-32559	217	15	for	for	ADP
ajst-32559	217	16	this	this	DET
ajst-32559	217	17	model	model	NOUN
ajst-32559	217	18	,	,	PUNCT
ajst-32559	217	19	we	we	PRON
ajst-32559	217	20	mainly	mainly	ADV
ajst-32559	217	21	chose	choose	VERB
ajst-32559	217	22	variables	variable	NOUN
ajst-32559	217	23	with	with	ADP
ajst-32559	217	24	lower	low	ADJ
ajst-32559	217	25	variance	variance	NOUN
ajst-32559	217	26	,	,	PUNCT
ajst-32559	217	27	such	such	ADJ
ajst-32559	217	28	as	as	ADP
ajst-32559	217	29	sex	sex	NOUN
ajst-32559	217	30	,	,	PUNCT
ajst-32559	217	31	pclass	pclass	NOUN
ajst-32559	217	32	,	,	PUNCT
ajst-32559	217	33	cabinlevel	cabinlevel	NOUN
ajst-32559	217	34	,	,	PUNCT
ajst-32559	217	35	etc	etc	X
ajst-32559	217	36	.	.	X
ajst-32559	218	1	however	however	ADV
ajst-32559	218	2	,	,	PUNCT
ajst-32559	218	3	there	there	PRON
ajst-32559	218	4	are	be	VERB
ajst-32559	218	5	two	two	NUM
ajst-32559	218	6	exceptions	exception	NOUN
ajst-32559	218	7	:	:	PUNCT
ajst-32559	218	8	age	age	NOUN
ajst-32559	218	9	and	and	CCONJ
ajst-32559	218	10	fare	fare	NOUN
ajst-32559	218	11	.	.	PUNCT
ajst-32559	218	12	table	table	NOUN
ajst-32559	218	13	17	17	NUM
ajst-32559	218	14	.	.	PUNCT
ajst-32559	218	15	variance	variance	NOUN
ajst-32559	218	16	of	of	ADP
ajst-32559	218	17	age	age	NOUN
ajst-32559	218	18	,	,	PUNCT
ajst-32559	218	19	sibsp	sibsp	NOUN
ajst-32559	218	20	,	,	PUNCT
ajst-32559	218	21	parch	parch	NOUN
ajst-32559	218	22	,	,	PUNCT
ajst-32559	218	23	and	and	CCONJ
ajst-32559	218	24	fare	fare	VERB
ajst-32559	218	25	age	age	NOUN
ajst-32559	218	26	variance	variance	NOUN
ajst-32559	218	27	sibsp	sibsp	NOUN
ajst-32559	218	28	variance	variance	NOUN
ajst-32559	218	29	parch	parch	NOUN
ajst-32559	218	30	variance	variance	NOUN
ajst-32559	218	31	fare	fare	NOUN
ajst-32559	218	32	variance	variance	NOUN
ajst-32559	218	33	217.354968	217.354968	NUM
ajst-32559	218	34	1.265124	1.265124	NUM
ajst-32559	218	35	0.604594	0.604594	NUM
ajst-32559	218	36	2291.5143	2291.5143	ADV
ajst-32559	218	37	the	the	DET
ajst-32559	218	38	variances	variance	NOUN
ajst-32559	218	39	of	of	ADP
ajst-32559	218	40	fare	fare	NOUN
ajst-32559	218	41	and	and	CCONJ
ajst-32559	218	42	age	age	NOUN
ajst-32559	218	43	are	be	AUX
ajst-32559	218	44	enormous	enormous	ADJ
ajst-32559	218	45	in	in	ADP
ajst-32559	218	46	comparison	comparison	NOUN
ajst-32559	218	47	with	with	ADP
ajst-32559	218	48	sibsp	sibsp	NOUN
ajst-32559	218	49	and	and	CCONJ
ajst-32559	218	50	parch	parch	NOUN
ajst-32559	218	51	,	,	PUNCT
ajst-32559	218	52	thus	thus	ADV
ajst-32559	218	53	the	the	DET
ajst-32559	218	54	method	method	NOUN
ajst-32559	218	55	of	of	ADP
ajst-32559	218	56	scaling	scaling	NOUN
ajst-32559	218	57	is	be	AUX
ajst-32559	218	58	used	use	VERB
ajst-32559	218	59	to	to	PART
ajst-32559	218	60	transform	transform	VERB
ajst-32559	218	61	all	all	DET
ajst-32559	218	62	variances	variance	NOUN
ajst-32559	218	63	into	into	ADP
ajst-32559	218	64	1	1	NUM
ajst-32559	218	65	.	.	PUNCT
ajst-32559	219	1	the	the	DET
ajst-32559	219	2	default	default	NOUN
ajst-32559	219	3	code	code	NOUN
ajst-32559	219	4	has	have	VERB
ajst-32559	219	5	linear	linear	ADJ
ajst-32559	219	6	and	and	CCONJ
ajst-32559	219	7	non	non	ADJ
ajst-32559	219	8	-	-	ADJ
ajst-32559	219	9	linear	linear	ADJ
ajst-32559	219	10	support	support	NOUN
ajst-32559	219	11	vector	vector	NOUN
ajst-32559	219	12	machine	machine	NOUN
ajst-32559	219	13	models	model	NOUN
ajst-32559	219	14	,	,	PUNCT
ajst-32559	219	15	and	and	CCONJ
ajst-32559	219	16	the	the	DET
ajst-32559	219	17	result	result	NOUN
ajst-32559	219	18	shows	show	VERB
ajst-32559	219	19	that	that	SCONJ
ajst-32559	219	20	the	the	DET
ajst-32559	219	21	accuracy	accuracy	NOUN
ajst-32559	219	22	of	of	ADP
ajst-32559	219	23	the	the	DET
ajst-32559	219	24	linear	linear	ADJ
ajst-32559	219	25	model	model	NOUN
ajst-32559	219	26	is	be	AUX
ajst-32559	219	27	86.52	86.52	NUM
ajst-32559	219	28	%	%	NOUN
ajst-32559	219	29	,	,	PUNCT
ajst-32559	219	30	whereas	whereas	SCONJ
ajst-32559	219	31	the	the	DET
ajst-32559	219	32	non	non	ADJ
ajst-32559	219	33	-	-	ADJ
ajst-32559	219	34	linear	linear	ADJ
ajst-32559	219	35	model	model	NOUN
ajst-32559	219	36	has	have	VERB
ajst-32559	219	37	an	an	DET
ajst-32559	219	38	accuracy	accuracy	NOUN
ajst-32559	219	39	of	of	ADP
ajst-32559	219	40	88.20	88.20	NUM
ajst-32559	219	41	%	%	NOUN
ajst-32559	219	42	,	,	PUNCT
ajst-32559	219	43	as	as	SCONJ
ajst-32559	219	44	shown	show	VERB
ajst-32559	219	45	in	in	ADP
ajst-32559	219	46	the	the	DET
ajst-32559	219	47	table	table	NOUN
ajst-32559	219	48	below	below	ADV
ajst-32559	219	49	.	.	PUNCT
ajst-32559	220	1	table	table	NOUN
ajst-32559	220	2	18	18	NUM
ajst-32559	220	3	.	.	PUNCT
ajst-32559	220	4	confusion	confusion	NOUN
ajst-32559	220	5	matrix	matrix	NOUN
ajst-32559	220	6	of	of	ADP
ajst-32559	220	7	the	the	DET
ajst-32559	220	8	linear	linear	ADJ
ajst-32559	220	9	svm	svm	PROPN
ajst-32559	220	10	model	model	NOUN
ajst-32559	220	11	actual	actual	ADJ
ajst-32559	220	12	:	:	PUNCT
ajst-32559	220	13	0	0	NUM
ajst-32559	220	14	actual	actual	ADJ
ajst-32559	220	15	:	:	PUNCT
ajst-32559	220	16	1	1	NUM
ajst-32559	220	17	predicted	predict	VERB
ajst-32559	220	18	:	:	PUNCT
ajst-32559	220	19	0	0	NUM
ajst-32559	220	20	102	102	NUM
ajst-32559	220	21	8	8	NUM
ajst-32559	220	22	predicted	predict	VERB
ajst-32559	220	23	:	:	PUNCT
ajst-32559	220	24	1	1	NUM
ajst-32559	220	25	16	16	NUM
ajst-32559	220	26	52	52	NUM
ajst-32559	220	27	table	table	NOUN
ajst-32559	220	28	19	19	NUM
ajst-32559	220	29	.	.	PUNCT
ajst-32559	220	30	confusion	confusion	NOUN
ajst-32559	220	31	matrix	matrix	NOUN
ajst-32559	220	32	of	of	ADP
ajst-32559	220	33	the	the	DET
ajst-32559	220	34	non	non	ADJ
ajst-32559	220	35	-	-	ADJ
ajst-32559	220	36	linear	linear	ADJ
ajst-32559	220	37	svm	svm	ADJ
ajst-32559	220	38	model	model	NOUN
ajst-32559	220	39	actual	actual	ADJ
ajst-32559	220	40	:	:	PUNCT
ajst-32559	220	41	0	0	NUM
ajst-32559	220	42	actual	actual	ADJ
ajst-32559	220	43	:	:	PUNCT
ajst-32559	220	44	1	1	NUM
ajst-32559	220	45	predicted	predict	VERB
ajst-32559	220	46	:	:	PUNCT
ajst-32559	220	47	0	0	NUM
ajst-32559	220	48	105	105	NUM
ajst-32559	220	49	5	5	NUM
ajst-32559	220	50	predicted	predict	VERB
ajst-32559	220	51	:	:	PUNCT
ajst-32559	220	52	1	1	NUM
ajst-32559	220	53	16	16	NUM
ajst-32559	220	54	52	52	NUM
ajst-32559	220	55	4.5	4.5	NUM
ajst-32559	220	56	cox	cox	PROPN
ajst-32559	220	57	regression	regression	NOUN
ajst-32559	220	58	as	as	SCONJ
ajst-32559	220	59	previously	previously	ADV
ajst-32559	220	60	mentioned	mention	VERB
ajst-32559	220	61	,	,	PUNCT
ajst-32559	220	62	the	the	DET
ajst-32559	220	63	cox	cox	PROPN
ajst-32559	220	64	regression	regression	NOUN
ajst-32559	220	65	model	model	NOUN
ajst-32559	220	66	is	be	AUX
ajst-32559	220	67	used	use	VERB
ajst-32559	220	68	to	to	PART
ajst-32559	220	69	predict	predict	VERB
ajst-32559	220	70	the	the	DET
ajst-32559	220	71	possibility	possibility	NOUN
ajst-32559	220	72	of	of	ADP
ajst-32559	220	73	survival	survival	NOUN
ajst-32559	220	74	and	and	CCONJ
ajst-32559	220	75	hr	hr	NOUN
ajst-32559	220	76	.	.	PUNCT
ajst-32559	221	1	thus	thus	ADV
ajst-32559	221	2	,	,	PUNCT
ajst-32559	221	3	we	we	PRON
ajst-32559	221	4	picked	pick	VERB
ajst-32559	221	5	four	four	NUM
ajst-32559	221	6	main	main	ADJ
ajst-32559	221	7	variables	variable	NOUN
ajst-32559	221	8	in	in	ADP
ajst-32559	221	9	the	the	DET
ajst-32559	221	10	dataset	dataset	NOUN
ajst-32559	221	11	:	:	PUNCT
ajst-32559	221	12	pclass	pclass	NOUN
ajst-32559	221	13	,	,	PUNCT
ajst-32559	221	14	sex	sex	NOUN
ajst-32559	221	15	,	,	PUNCT
ajst-32559	221	16	age	age	NOUN
ajst-32559	221	17	,	,	PUNCT
ajst-32559	221	18	and	and	CCONJ
ajst-32559	221	19	fsized	fsize	VERB
ajst-32559	221	20	.	.	PUNCT
ajst-32559	222	1	figure	figure	NOUN
ajst-32559	222	2	18	18	NUM
ajst-32559	222	3	displays	display	VERB
ajst-32559	222	4	the	the	DET
ajst-32559	222	5	hazard	hazard	NOUN
ajst-32559	222	6	ratios	ratio	NOUN
ajst-32559	222	7	for	for	ADP
ajst-32559	222	8	the	the	DET
ajst-32559	222	9	passengers	passenger	NOUN
ajst-32559	222	10	under	under	ADP
ajst-32559	222	11	several	several	ADJ
ajst-32559	222	12	factors	factor	NOUN
ajst-32559	222	13	.	.	PUNCT
ajst-32559	223	1	for	for	ADP
ajst-32559	223	2	pclass	pclass	NOUN
ajst-32559	223	3	,	,	PUNCT
ajst-32559	223	4	we	we	PRON
ajst-32559	223	5	take	take	VERB
ajst-32559	223	6	passenger	passenger	NOUN
ajst-32559	223	7	class	class	NOUN
ajst-32559	223	8	1	1	NUM
ajst-32559	223	9	as	as	ADP
ajst-32559	223	10	reference	reference	NOUN
ajst-32559	223	11	,	,	PUNCT
ajst-32559	223	12	and	and	CCONJ
ajst-32559	223	13	the	the	DET
ajst-32559	223	14	result	result	NOUN
ajst-32559	223	15	shows	show	VERB
ajst-32559	223	16	that	that	SCONJ
ajst-32559	223	17	passengers	passenger	NOUN
ajst-32559	223	18	at	at	ADP
ajst-32559	223	19	passenger	passenger	NOUN
ajst-32559	223	20	class	class	NOUN
ajst-32559	223	21	2	2	NUM
ajst-32559	223	22	have	have	VERB
ajst-32559	223	23	a	a	DET
ajst-32559	223	24	1.45	1.45	NUM
ajst-32559	223	25	times	time	NOUN
ajst-32559	223	26	higher	high	ADJ
ajst-32559	223	27	chance	chance	NOUN
ajst-32559	223	28	of	of	ADP
ajst-32559	223	29	death	death	NOUN
ajst-32559	223	30	.	.	PUNCT
ajst-32559	224	1	furthermore	furthermore	ADV
ajst-32559	224	2	,	,	PUNCT
ajst-32559	224	3	passengers	passenger	NOUN
ajst-32559	224	4	at	at	ADP
ajst-32559	224	5	passenger	passenger	NOUN
ajst-32559	224	6	class	class	NOUN
ajst-32559	224	7	3	3	NUM
ajst-32559	224	8	are	be	AUX
ajst-32559	224	9	almost	almost	ADV
ajst-32559	224	10	2	2	NUM
ajst-32559	224	11	times	time	NOUN
ajst-32559	224	12	more	more	ADV
ajst-32559	224	13	likely	likely	ADJ
ajst-32559	224	14	to	to	PART
ajst-32559	224	15	die	die	VERB
ajst-32559	224	16	than	than	ADP
ajst-32559	224	17	at	at	ADP
ajst-32559	224	18	passenger	passenger	NOUN
ajst-32559	224	19	class	class	NOUN
ajst-32559	224	20	1	1	NUM
ajst-32559	224	21	.	.	PUNCT
ajst-32559	225	1	another	another	DET
ajst-32559	225	2	factor	factor	NOUN
ajst-32559	225	3	is	be	AUX
ajst-32559	225	4	sex	sex	NOUN
ajst-32559	225	5	,	,	PUNCT
ajst-32559	225	6	where	where	SCONJ
ajst-32559	225	7	females	female	NOUN
ajst-32559	225	8	are	be	AUX
ajst-32559	225	9	taken	take	VERB
ajst-32559	225	10	as	as	ADP
ajst-32559	225	11	reference	reference	NOUN
ajst-32559	225	12	,	,	PUNCT
ajst-32559	225	13	and	and	CCONJ
ajst-32559	225	14	the	the	DET
ajst-32559	225	15	result	result	NOUN
ajst-32559	225	16	shows	show	VERB
ajst-32559	225	17	that	that	SCONJ
ajst-32559	225	18	male	male	ADJ
ajst-32559	225	19	passengers	passenger	NOUN
ajst-32559	225	20	have	have	VERB
ajst-32559	225	21	2.15	2.15	NUM
ajst-32559	225	22	times	time	NOUN
ajst-32559	225	23	more	more	ADJ
ajst-32559	225	24	chance	chance	NOUN
ajst-32559	225	25	to	to	PART
ajst-32559	225	26	die	die	VERB
ajst-32559	225	27	than	than	ADP
ajst-32559	225	28	females	female	NOUN
ajst-32559	225	29	.	.	PUNCT
ajst-32559	226	1	as	as	ADP
ajst-32559	226	2	for	for	ADP
ajst-32559	226	3	fsized	fsized	ADJ
ajst-32559	226	4	,	,	PUNCT
ajst-32559	226	5	single	single	ADJ
ajst-32559	226	6	passengers	passenger	NOUN
ajst-32559	226	7	are	be	AUX
ajst-32559	226	8	taken	take	VERB
ajst-32559	226	9	as	as	ADP
ajst-32559	226	10	reference	reference	NOUN
ajst-32559	226	11	,	,	PUNCT
ajst-32559	226	12	and	and	CCONJ
ajst-32559	226	13	interestingly	interestingly	ADV
ajst-32559	226	14	,	,	PUNCT
ajst-32559	226	15	small	small	ADJ
ajst-32559	226	16	families	family	NOUN
ajst-32559	226	17	seem	seem	VERB
ajst-32559	226	18	to	to	PART
ajst-32559	226	19	have	have	VERB
ajst-32559	226	20	a	a	DET
ajst-32559	226	21	lower	low	ADJ
ajst-32559	226	22	chance	chance	NOUN
ajst-32559	226	23	of	of	ADP
ajst-32559	226	24	dying	die	VERB
ajst-32559	226	25	compared	compare	VERB
ajst-32559	226	26	to	to	ADP
ajst-32559	226	27	singletons	singleton	NOUN
ajst-32559	226	28	,	,	PUNCT
ajst-32559	226	29	whereas	whereas	SCONJ
ajst-32559	226	30	large	large	ADJ
ajst-32559	226	31	families	family	NOUN
ajst-32559	226	32	are	be	AUX
ajst-32559	226	33	1.68	1.68	NUM
ajst-32559	226	34	times	time	NOUN
ajst-32559	226	35	more	more	ADV
ajst-32559	226	36	likely	likely	ADJ
ajst-32559	226	37	to	to	PART
ajst-32559	226	38	die	die	VERB
ajst-32559	226	39	.	.	PUNCT
ajst-32559	227	1	4.6	4.6	NUM
ajst-32559	227	2	hard	hard	ADJ
ajst-32559	227	3	voting	voting	NOUN
ajst-32559	227	4	in	in	ADP
ajst-32559	227	5	conclusion	conclusion	NOUN
ajst-32559	227	6	,	,	PUNCT
ajst-32559	227	7	we	we	PRON
ajst-32559	227	8	used	use	VERB
ajst-32559	227	9	hard	hard	ADJ
ajst-32559	227	10	voting	voting	NOUN
ajst-32559	227	11	to	to	PART
ajst-32559	227	12	receive	receive	VERB
ajst-32559	227	13	the	the	DET
ajst-32559	227	14	best	good	ADJ
ajst-32559	227	15	result	result	NOUN
ajst-32559	227	16	out	out	ADP
ajst-32559	227	17	of	of	ADP
ajst-32559	227	18	our	our	PRON
ajst-32559	227	19	models	model	NOUN
ajst-32559	227	20	.	.	PUNCT
ajst-32559	228	1	the	the	DET
ajst-32559	228	2	accuracy	accuracy	NOUN
ajst-32559	228	3	of	of	ADP
ajst-32559	228	4	hard	hard	ADJ
ajst-32559	228	5	voting	voting	NOUN
ajst-32559	228	6	is	be	AUX
ajst-32559	228	7	88.20	88.20	NUM
ajst-32559	228	8	%	%	NOUN
ajst-32559	228	9	,	,	PUNCT
ajst-32559	228	10	which	which	PRON
ajst-32559	228	11	is	be	AUX
ajst-32559	228	12	over	over	ADP
ajst-32559	228	13	our	our	PRON
ajst-32559	228	14	expectations	expectation	NOUN
ajst-32559	228	15	.	.	PUNCT
ajst-32559	229	1	our	our	PRON
ajst-32559	229	2	model	model	NOUN
ajst-32559	229	3	is	be	AUX
ajst-32559	229	4	highly	highly	ADV
ajst-32559	229	5	accurate	accurate	ADJ
ajst-32559	229	6	in	in	ADP
ajst-32559	229	7	identifying	identify	VERB
ajst-32559	229	8	158	158	NUM
ajst-32559	229	9	passengers	passenger	NOUN
ajst-32559	229	10	who	who	PRON
ajst-32559	229	11	did	do	AUX
ajst-32559	229	12	not	not	PART
ajst-32559	229	13	survive	survive	VERB
ajst-32559	229	14	,	,	PUNCT
ajst-32559	229	15	with	with	ADP
ajst-32559	229	16	the	the	DET
ajst-32559	229	17	accuracy	accuracy	NOUN
ajst-32559	229	18	of	of	ADP
ajst-32559	229	19	93.64	93.64	NUM
ajst-32559	229	20	%	%	NOUN
ajst-32559	229	21	,	,	PUNCT
ajst-32559	229	22	while	while	SCONJ
ajst-32559	229	23	the	the	DET
ajst-32559	229	24	identification	identification	NOUN
ajst-32559	229	25	of	of	ADP
ajst-32559	229	26	surviving	survive	VERB
ajst-32559	229	27	passengers	passenger	NOUN
ajst-32559	229	28	is	be	AUX
ajst-32559	229	29	a	a	DET
ajst-32559	229	30	little	little	ADJ
ajst-32559	229	31	low	low	ADJ
ajst-32559	229	32	,	,	PUNCT
ajst-32559	229	33	scoring	score	VERB
ajst-32559	229	34	76.47	76.47	NUM
ajst-32559	229	35	%	%	NOUN
ajst-32559	229	36	.	.	PUNCT
ajst-32559	230	1	this	this	PRON
ajst-32559	230	2	is	be	AUX
ajst-32559	230	3	due	due	ADJ
ajst-32559	230	4	to	to	ADP
ajst-32559	230	5	the	the	DET
ajst-32559	230	6	lack	lack	NOUN
ajst-32559	230	7	of	of	ADP
ajst-32559	230	8	surviving	survive	VERB
ajst-32559	230	9	passenger	passenger	NOUN
ajst-32559	230	10	data	datum	NOUN
ajst-32559	230	11	,	,	PUNCT
ajst-32559	230	12	with	with	ADP
ajst-32559	230	13	most	most	ADJ
ajst-32559	230	14	of	of	ADP
ajst-32559	230	15	the	the	DET
ajst-32559	230	16	passengers	passenger	NOUN
ajst-32559	230	17	not	not	PART
ajst-32559	230	18	surviving	survive	VERB
ajst-32559	230	19	.	.	PUNCT
ajst-32559	231	1	figure	figure	NOUN
ajst-32559	231	2	18	18	NUM
ajst-32559	231	3	.	.	PUNCT
ajst-32559	232	1	hr	hr	NOUN
ajst-32559	232	2	for	for	ADP
ajst-32559	232	3	passengers	passenger	NOUN
ajst-32559	232	4	under	under	ADP
ajst-32559	232	5	the	the	DET
ajst-32559	232	6	factors	factor	NOUN
ajst-32559	232	7	of	of	ADP
ajst-32559	232	8	pclass	pclass	NOUN
ajst-32559	232	9	,	,	PUNCT
ajst-32559	232	10	sex	sex	NOUN
ajst-32559	232	11	,	,	PUNCT
ajst-32559	232	12	age	age	NOUN
ajst-32559	232	13	,	,	PUNCT
ajst-32559	232	14	and	and	CCONJ
ajst-32559	232	15	family	family	NOUN
ajst-32559	232	16	size	size	NOUN
ajst-32559	232	17	table	table	NOUN
ajst-32559	232	18	20	20	NUM
ajst-32559	232	19	.	.	PUNCT
ajst-32559	233	1	confusion	confusion	NOUN
ajst-32559	233	2	matrix	matrix	NOUN
ajst-32559	233	3	of	of	ADP
ajst-32559	233	4	the	the	DET
ajst-32559	233	5	final	final	ADJ
ajst-32559	233	6	prediction	prediction	NOUN
ajst-32559	233	7	actual	actual	ADJ
ajst-32559	233	8	:	:	PUNCT
ajst-32559	233	9	0	0	NUM
ajst-32559	233	10	actual	actual	ADJ
ajst-32559	233	11	:	:	PUNCT
ajst-32559	233	12	1	1	NUM
ajst-32559	233	13	predicted	predict	VERB
ajst-32559	233	14	:	:	PUNCT
ajst-32559	233	15	0	0	NUM
ajst-32559	233	16	105	105	NUM
ajst-32559	233	17	5	5	NUM
ajst-32559	233	18	predicted	predict	VERB
ajst-32559	233	19	:	:	PUNCT
ajst-32559	233	20	1	1	NUM
ajst-32559	233	21	16	16	NUM
ajst-32559	233	22	52	52	NUM
ajst-32559	233	23	table	table	NOUN
ajst-32559	233	24	21	21	NUM
ajst-32559	233	25	.	.	PUNCT
ajst-32559	234	1	summary	summary	NOUN
ajst-32559	234	2	of	of	ADP
ajst-32559	234	3	the	the	DET
ajst-32559	234	4	final	final	ADJ
ajst-32559	234	5	prediction	prediction	NOUN
ajst-32559	234	6	accuracy	accuracy	NOUN
ajst-32559	234	7	sensitivity	sensitivity	NOUN
ajst-32559	234	8	specificity	specificity	NOUN
ajst-32559	234	9	0.882	0.882	NUM
ajst-32559	234	10	0.7647	0.7647	NUM
ajst-32559	234	11	0.9364	0.9364	NUM
ajst-32559	234	12	5	5	NUM
ajst-32559	234	13	.	.	PUNCT
ajst-32559	234	14	conclusion	conclusion	NOUN
ajst-32559	234	15	and	and	CCONJ
ajst-32559	234	16	reflection	reflection	NOUN
ajst-32559	234	17	this	this	DET
ajst-32559	234	18	essay	essay	NOUN
ajst-32559	234	19	aims	aim	VERB
ajst-32559	234	20	to	to	PART
ajst-32559	234	21	make	make	VERB
ajst-32559	234	22	predictions	prediction	NOUN
ajst-32559	234	23	of	of	ADP
ajst-32559	234	24	the	the	DET
ajst-32559	234	25	survival	survival	NOUN
ajst-32559	234	26	rate	rate	NOUN
ajst-32559	234	27	of	of	ADP
ajst-32559	234	28	titanic	titanic	ADJ
ajst-32559	234	29	passengers	passenger	NOUN
ajst-32559	234	30	based	base	VERB
ajst-32559	234	31	on	on	ADP
ajst-32559	234	32	historical	historical	ADJ
ajst-32559	234	33	data	datum	NOUN
ajst-32559	234	34	of	of	ADP
ajst-32559	234	35	their	their	PRON
ajst-32559	234	36	personal	personal	ADJ
ajst-32559	234	37	information	information	NOUN
ajst-32559	234	38	through	through	ADP
ajst-32559	234	39	data	data	NOUN
ajst-32559	234	40	processing	processing	NOUN
ajst-32559	234	41	and	and	CCONJ
ajst-32559	234	42	machine	machine	NOUN
ajst-32559	234	43	learning	learning	NOUN
ajst-32559	234	44	models	model	NOUN
ajst-32559	234	45	.	.	PUNCT
ajst-32559	235	1	in	in	ADP
ajst-32559	235	2	the	the	DET
ajst-32559	235	3	section	section	NOUN
ajst-32559	235	4	of	of	ADP
ajst-32559	235	5	data	datum	NOUN
ajst-32559	235	6	cleaning	clean	VERB
ajst-32559	235	7	,	,	PUNCT
ajst-32559	235	8	we	we	PRON
ajst-32559	235	9	utilized	utilize	VERB
ajst-32559	235	10	imputation	imputation	NOUN
ajst-32559	235	11	of	of	ADP
ajst-32559	235	12	missing	miss	VERB
ajst-32559	235	13	values	value	NOUN
ajst-32559	235	14	,	,	PUNCT
ajst-32559	235	15	feature	feature	NOUN
ajst-32559	235	16	engineering	engineering	NOUN
ajst-32559	235	17	and	and	CCONJ
ajst-32559	235	18	data	datum	NOUN
ajst-32559	235	19	visualization	visualization	NOUN
ajst-32559	235	20	to	to	PART
ajst-32559	235	21	ensure	ensure	VERB
ajst-32559	235	22	the	the	DET
ajst-32559	235	23	dataset	dataset	NOUN
ajst-32559	235	24	was	be	AUX
ajst-32559	235	25	complete	complete	ADJ
ajst-32559	235	26	,	,	PUNCT
ajst-32559	235	27	interpretable	interpretable	ADJ
ajst-32559	235	28	,	,	PUNCT
ajst-32559	235	29	and	and	CCONJ
ajst-32559	235	30	optimized	optimize	VERB
ajst-32559	235	31	for	for	ADP
ajst-32559	235	32	downstream	downstream	ADJ
ajst-32559	235	33	modeling	modeling	NOUN
ajst-32559	235	34	.	.	PUNCT
ajst-32559	236	1	in	in	ADP
ajst-32559	236	2	the	the	DET
ajst-32559	236	3	subsequent	subsequent	ADJ
ajst-32559	236	4	stage	stage	NOUN
ajst-32559	236	5	we	we	PRON
ajst-32559	236	6	built	build	VERB
ajst-32559	236	7	a	a	DET
ajst-32559	236	8	comprehensive	comprehensive	ADJ
ajst-32559	236	9	model	model	NOUN
ajst-32559	236	10	based	base	VERB
ajst-32559	236	11	on	on	ADP
ajst-32559	236	12	logistic	logistic	ADJ
ajst-32559	236	13	regression	regression	NOUN
ajst-32559	236	14	,	,	PUNCT
ajst-32559	236	15	decision	decision	NOUN
ajst-32559	236	16	tree	tree	NOUN
ajst-32559	236	17	,	,	PUNCT
ajst-32559	236	18	random	random	ADJ
ajst-32559	236	19	forest	forest	NOUN
ajst-32559	236	20	,	,	PUNCT
ajst-32559	236	21	support	support	NOUN
ajst-32559	236	22	vector	vector	NOUN
ajst-32559	236	23	machine	machine	NOUN
ajst-32559	236	24	,	,	PUNCT
ajst-32559	236	25	cox	cox	PROPN
ajst-32559	236	26	regression	regression	NOUN
ajst-32559	236	27	and	and	CCONJ
ajst-32559	236	28	hard	hard	ADJ
ajst-32559	236	29	voting	voting	NOUN
ajst-32559	236	30	and	and	CCONJ
ajst-32559	236	31	ultimately	ultimately	ADV
ajst-32559	236	32	reached	reach	VERB
ajst-32559	236	33	a	a	DET
ajst-32559	236	34	high	high	ADJ
ajst-32559	236	35	accuracy	accuracy	NOUN
ajst-32559	236	36	of	of	ADP
ajst-32559	236	37	88.20	88.20	NUM
ajst-32559	236	38	%	%	NOUN
ajst-32559	236	39	.	.	PUNCT
ajst-32559	237	1	this	this	DET
ajst-32559	237	2	model	model	NOUN
ajst-32559	237	3	can	can	AUX
ajst-32559	237	4	be	be	AUX
ajst-32559	237	5	adapted	adapt	VERB
ajst-32559	237	6	to	to	ADP
ajst-32559	237	7	many	many	ADJ
ajst-32559	237	8	fields	field	NOUN
ajst-32559	237	9	including	include	VERB
ajst-32559	237	10	healthcare	healthcare	NOUN
ajst-32559	237	11	,	,	PUNCT
ajst-32559	237	12	insurance	insurance	NOUN
ajst-32559	237	13	and	and	CCONJ
ajst-32559	237	14	automotive	automotive	ADJ
ajst-32559	237	15	safety	safety	NOUN
ajst-32559	237	16	,	,	PUNCT
ajst-32559	237	17	where	where	SCONJ
ajst-32559	237	18	classification	classification	NOUN
ajst-32559	237	19	or	or	CCONJ
ajst-32559	237	20	survival	survival	NOUN
ajst-32559	237	21	analysis	analysis	NOUN
ajst-32559	237	22	is	be	AUX
ajst-32559	237	23	needed	need	VERB
ajst-32559	237	24	.	.	PUNCT
ajst-32559	238	1	with	with	ADP
ajst-32559	238	2	the	the	DET
ajst-32559	238	3	approaches	approach	NOUN
ajst-32559	238	4	and	and	CCONJ
ajst-32559	238	5	processes	process	NOUN
ajst-32559	238	6	given	give	VERB
ajst-32559	238	7	,	,	PUNCT
ajst-32559	238	8	government	government	NOUN
ajst-32559	238	9	and	and	CCONJ
ajst-32559	238	10	enterprises	enterprise	NOUN
ajst-32559	238	11	could	could	AUX
ajst-32559	238	12	gain	gain	VERB
ajst-32559	238	13	insights	insight	NOUN
ajst-32559	238	14	into	into	ADP
ajst-32559	238	15	how	how	SCONJ
ajst-32559	238	16	various	various	ADJ
ajst-32559	238	17	factors	factor	NOUN
ajst-32559	238	18	influence	influence	VERB
ajst-32559	238	19	certain	certain	ADJ
ajst-32559	238	20	events	event	NOUN
ajst-32559	238	21	,	,	PUNCT
ajst-32559	238	22	which	which	PRON
ajst-32559	238	23	would	would	AUX
ajst-32559	238	24	contribute	contribute	VERB
ajst-32559	238	25	to	to	ADP
ajst-32559	238	26	a	a	DET
ajst-32559	238	27	holistic	holistic	ADJ
ajst-32559	238	28	resolution	resolution	NOUN
ajst-32559	238	29	to	to	ADP
ajst-32559	238	30	tackling	tackle	VERB
ajst-32559	238	31	social	social	ADJ
ajst-32559	238	32	issues	issue	NOUN
ajst-32559	238	33	.	.	PUNCT
ajst-32559	239	1	there	there	PRON
ajst-32559	239	2	are	be	VERB
ajst-32559	239	3	some	some	DET
ajst-32559	239	4	limitations	limitation	NOUN
ajst-32559	239	5	to	to	ADP
ajst-32559	239	6	the	the	DET
ajst-32559	239	7	model	model	NOUN
ajst-32559	239	8	as	as	ADV
ajst-32559	239	9	well	well	ADV
ajst-32559	239	10	.	.	PUNCT
ajst-32559	240	1	for	for	ADP
ajst-32559	240	2	instance	instance	NOUN
ajst-32559	240	3	,	,	PUNCT
ajst-32559	240	4	some	some	PRON
ajst-32559	240	5	of	of	ADP
ajst-32559	240	6	the	the	DET
ajst-32559	240	7	methods	method	NOUN
ajst-32559	240	8	incorporated	incorporate	VERB
ajst-32559	240	9	in	in	ADP
ajst-32559	240	10	the	the	DET
ajst-32559	240	11	model	model	NOUN
ajst-32559	240	12	,	,	PUNCT
ajst-32559	240	13	such	such	ADJ
ajst-32559	240	14	as	as	ADP
ajst-32559	240	15	random	random	ADJ
ajst-32559	240	16	forest	forest	NOUN
ajst-32559	240	17	and	and	CCONJ
ajst-32559	240	18	logistic	logistic	ADJ
ajst-32559	240	19	regression	regression	NOUN
ajst-32559	240	20	,	,	PUNCT
ajst-32559	240	21	rely	rely	VERB
ajst-32559	240	22	on	on	ADP
ajst-32559	240	23	sufficient	sufficient	ADJ
ajst-32559	240	24	sample	sample	NOUN
ajst-32559	240	25	size	size	NOUN
ajst-32559	240	26	to	to	PART
ajst-32559	240	27	achieve	achieve	VERB
ajst-32559	240	28	high	high	ADJ
ajst-32559	240	29	precision	precision	NOUN
ajst-32559	240	30	and	and	CCONJ
ajst-32559	240	31	stability	stability	NOUN
ajst-32559	240	32	.	.	PUNCT
ajst-32559	241	1	meanwhile	meanwhile	ADV
ajst-32559	241	2	,	,	PUNCT
ajst-32559	241	3	there	there	PRON
ajst-32559	241	4	are	be	VERB
ajst-32559	241	5	inevitably	inevitably	ADV
ajst-32559	241	6	some	some	DET
ajst-32559	241	7	associations	association	NOUN
ajst-32559	241	8	between	between	ADP
ajst-32559	241	9	certain	certain	ADJ
ajst-32559	241	10	variables	variable	NOUN
ajst-32559	241	11	,	,	PUNCT
ajst-32559	241	12	as	as	SCONJ
ajst-32559	241	13	they	they	PRON
ajst-32559	241	14	are	be	AUX
ajst-32559	241	15	either	either	ADV
ajst-32559	241	16	deduced	deduce	VERB
ajst-32559	241	17	from	from	ADP
ajst-32559	241	18	each	each	DET
ajst-32559	241	19	other	other	ADJ
ajst-32559	241	20	or	or	CCONJ
ajst-32559	241	21	indicators	indicator	NOUN
ajst-32559	241	22	of	of	ADP
ajst-32559	241	23	similar	similar	ADJ
ajst-32559	241	24	social	social	ADJ
ajst-32559	241	25	patterns	pattern	NOUN
ajst-32559	241	26	,	,	PUNCT
ajst-32559	241	27	which	which	PRON
ajst-32559	241	28	could	could	AUX
ajst-32559	241	29	potentially	potentially	ADV
ajst-32559	241	30	affect	affect	VERB
ajst-32559	241	31	the	the	DET
ajst-32559	241	32	accuracy	accuracy	NOUN
ajst-32559	241	33	of	of	ADP
ajst-32559	241	34	our	our	PRON
ajst-32559	241	35	prediction	prediction	NOUN
ajst-32559	241	36	.	.	PUNCT
ajst-32559	242	1	this	this	PRON
ajst-32559	242	2	could	could	AUX
ajst-32559	242	3	be	be	AUX
ajst-32559	242	4	improved	improve	VERB
ajst-32559	242	5	by	by	ADP
ajst-32559	242	6	taking	take	VERB
ajst-32559	242	7	use	use	NOUN
ajst-32559	242	8	of	of	ADP
ajst-32559	242	9	regularization	regularization	NOUN
ajst-32559	242	10	,	,	PUNCT
ajst-32559	242	11	dimensionality	dimensionality	NOUN
ajst-32559	242	12	reduction	reduction	NOUN
ajst-32559	242	13	and	and	CCONJ
ajst-32559	242	14	stepwise	stepwise	ADJ
ajst-32559	242	15	algorithm	algorithm	NOUN
ajst-32559	242	16	.	.	PUNCT
ajst-32559	243	1	159	159	NUM
ajst-32559	243	2	references	reference	NOUN
ajst-32559	243	3	[	[	X
ajst-32559	243	4	1	1	NUM
ajst-32559	243	5	]	]	PUNCT
ajst-32559	243	6	wikipedia	wikipedia	PROPN
ajst-32559	243	7	contributors	contributors	PROPN
ajst-32559	243	8	.	.	PUNCT
ajst-32559	244	1	(	(	PUNCT
ajst-32559	244	2	2025	2025	NUM
ajst-32559	244	3	,	,	PUNCT
ajst-32559	244	4	october	october	PROPN
ajst-32559	244	5	31	31	NUM
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ajst-32559	244	7	.	.	PUNCT
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ajst-32559	245	2	.	.	PUNCT
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ajst-32559	246	2	.	.	PUNCT
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ajst-32559	248	1	[	[	X
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ajst-32559	248	5	,	,	PUNCT
ajst-32559	248	6	r.	r.	PROPN
ajst-32559	248	7	(	(	PUNCT
ajst-32559	248	8	2018	2018	NUM
ajst-32559	248	9	,	,	PUNCT
ajst-32559	248	10	june	june	PROPN
ajst-32559	248	11	5	5	NUM
ajst-32559	248	12	)	)	PUNCT
ajst-32559	248	13	.	.	PUNCT
ajst-32559	249	1	support	support	NOUN
ajst-32559	249	2	vector	vector	NOUN
ajst-32559	249	3	machine	machine	NOUN
ajst-32559	249	4	—	—	PUNCT
ajst-32559	249	5	introduction	introduction	NOUN
ajst-32559	249	6	to	to	ADP
ajst-32559	249	7	machine	machine	NOUN
ajst-32559	249	8	learning	learning	NOUN
ajst-32559	249	9	algorithms	algorithm	NOUN
ajst-32559	249	10	|	|	ADV
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ajst-32559	249	12	data	datum	NOUN
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ajst-32559	250	2	data	data	NOUN
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ajst-32559	251	1	https://towardsdatascience.com/support-vector-machineintroduction-to-machine-learning-algorithms-934a444fca47/.	https://towardsdatascience.com/support-vector-machineintroduction-to-machine-learning-algorithms-934a444fca47/.	X
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ajst-32559	252	8	,	,	PUNCT
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ajst-32559	252	10	,	,	PUNCT
ajst-32559	252	11	g.	g.	PROPN
ajst-32559	252	12	,	,	PUNCT
ajst-32559	252	13	leonardis	leonardis	PROPN
ajst-32559	252	14	,	,	PUNCT
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ajst-32559	252	20	,	,	PUNCT
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ajst-32559	252	22	,	,	PUNCT
ajst-32559	252	23	g.	g.	PROPN
ajst-32559	252	24	,	,	PUNCT
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ajst-32559	252	26	roumeliotis	roumeliotis	PROPN
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ajst-32559	252	28	s.	s.	PROPN
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ajst-32559	252	31	)	)	PUNCT
ajst-32559	252	32	.	.	PUNCT
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ajst-32559	253	2	to	to	PART
ajst-32559	253	3	analyze	analyze	VERB
ajst-32559	253	4	time	time	NOUN
ajst-32559	253	5	-	-	PUNCT
ajst-32559	253	6	to	to	ADP
ajst-32559	253	7	-	-	PUNCT
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ajst-32559	253	9	data	datum	NOUN
ajst-32559	253	10	:	:	PUNCT
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ajst-32559	253	14	analysis	analysis	NOUN
ajst-32559	253	15	.	.	PUNCT
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ajst-32559	254	2	medicine	medicine	NOUN
ajst-32559	254	3	and	and	CCONJ
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ajst-32559	254	7	2021(1	2021(1	NUM
ajst-32559	254	8	)	)	PUNCT
ajst-32559	254	9	,	,	PUNCT
ajst-32559	254	10	1–6	1–6	NUM
ajst-32559	254	11	.	.	PUNCT
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ajst-32559	254	13	.	.	PUNCT
ajst-32559	255	1	[	[	X
ajst-32559	255	2	4	4	NUM
ajst-32559	255	3	]	]	X
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ajst-32559	255	5	.	.	PUNCT
ajst-32559	256	1	(	(	PUNCT
ajst-32559	256	2	2017	2017	NUM
ajst-32559	256	3	,	,	PUNCT
ajst-32559	256	4	december	december	PROPN
ajst-32559	256	5	26	26	NUM
ajst-32559	256	6	)	)	PUNCT
ajst-32559	256	7	.	.	PUNCT
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ajst-32559	257	2	survival	survival	NOUN
ajst-32559	257	3	on	on	ADP
ajst-32559	257	4	the	the	DET
ajst-32559	257	5	titanic	titanic	NOUN
ajst-32559	257	6	.	.	PUNCT
ajst-32559	258	1	https://www	https://www	PROPN
ajst-32559	258	2	.	.	PUNCT
ajst-32559	258	3	kaggle	kaggle	PROPN
ajst-32559	258	4	.	.	PUNCT
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ajst-32559	259	2	code/	code/	NUM
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ajst-32559	259	4	/	/	SYM
ajst-32559	259	5	exploring	explore	VERB
ajst-32559	259	6	-	-	PUNCT
ajst-32559	259	7	survival	survival	NOUN
ajst-32559	259	8	-	-	PUNCT
ajst-32559	259	9	on	on	ADP
ajst-32559	259	10	-	-	PUNCT
ajst-32559	259	11	the	the	DET
ajst-32559	259	12	-	-	PUNCT
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ajst-32559	259	14	.	.	PUNCT
ajst-32559	260	1	[	[	X
ajst-32559	260	2	5	5	X
ajst-32559	260	3	]	]	PUNCT
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ajst-32559	260	5	silva	silva	NOUN
ajst-32559	260	6	.	.	PUNCT
ajst-32559	261	1	(	(	PUNCT
ajst-32559	261	2	2017	2017	NUM
ajst-32559	261	3	,	,	PUNCT
ajst-32559	261	4	december	december	PROPN
ajst-32559	261	5	14	14	NUM
ajst-32559	261	6	)	)	PUNCT
ajst-32559	261	7	.	.	PUNCT
ajst-32559	262	1	predicting	predict	VERB
ajst-32559	262	2	titanic	titanic	ADJ
ajst-32559	262	3	survival	survival	NOUN
ajst-32559	262	4	using	use	VERB
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ajst-32559	262	6	algorithms	algorithm	NOUN
ajst-32559	262	7	.	.	PUNCT
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ajst-32559	263	2	;	;	PUNCT
ajst-32559	263	3	kaggle	kaggle	PROPN
ajst-32559	263	4	.	.	PUNCT
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ajst-32559	264	2	.	.	PUNCT
ajst-32559	265	1	[	[	X
ajst-32559	265	2	6	6	NUM
ajst-32559	265	3	]	]	SYM
ajst-32559	265	4	titanic	titanic	ADJ
ajst-32559	265	5	passenger	passenger	NOUN
ajst-32559	265	6	list	list	NOUN
ajst-32559	265	7	•	•	NOUN
ajst-32559	265	8	titanic	titanic	ADJ
ajst-32559	265	9	facts	fact	NOUN
ajst-32559	265	10	.	.	PUNCT
ajst-32559	266	1	(	(	PUNCT
ajst-32559	266	2	2020	2020	NUM
ajst-32559	266	3	,	,	PUNCT
ajst-32559	266	4	july	july	PROPN
ajst-32559	266	5	13	13	NUM
ajst-32559	266	6	)	)	PUNCT
ajst-32559	266	7	.	.	PUNCT
ajst-32559	267	1	titanic	titanic	ADJ
ajst-32559	267	2	facts	fact	NOUN
ajst-32559	267	3	.	.	PUNCT
ajst-32559	268	1	https://titanicfacts.net/titanicpassenger-list/.	https://titanicfacts.net/titanicpassenger-list/.	PROPN
ajst-32559	269	1	[	[	X
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ajst-32559	269	3	]	]	SYM
ajst-32559	269	4	ts	ts	NOUN
ajst-32559	269	5	,	,	PUNCT
ajst-32559	269	6	s.	s.	PROPN
ajst-32559	269	7	(	(	PUNCT
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ajst-32559	269	9	)	)	PUNCT
ajst-32559	269	10	.	.	PUNCT
ajst-32559	270	1	rms	rm	NOUN
ajst-32559	270	2	titanic	titanic	ADJ
ajst-32559	270	3	case	case	NOUN
ajst-32559	270	4	study	study	NOUN
ajst-32559	270	5	.	.	PUNCT
ajst-32559	271	1	cusat	cusat	NOUN
ajst-32559	271	2	.	.	PUNCT
ajst-32559	272	1	https://www	https://www	PROPN
ajst-32559	272	2	.	.	PUNCT
ajst-32559	272	3	academia	academia	PROPN
ajst-32559	272	4	.	.	PUNCT
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ajst-32559	273	3	rms	rm	NOUN
ajst-32559	273	4	_	_	PUNCT
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