id	sid	tid	token	lemma	pos
easat-7589	1	1	edelweiss	edelweiss	PROPN
easat-7589	1	2	applied	apply	VERB
easat-7589	1	3	science	science	NOUN
easat-7589	1	4	and	and	CCONJ
easat-7589	1	5	technology	technology	NOUN
easat-7589	1	6	issn	issn	PROPN
easat-7589	1	7	:	:	PUNCT
easat-7589	1	8	2576	2576	NUM
easat-7589	1	9	-	-	SYM
easat-7589	1	10	8484	8484	NUM
easat-7589	1	11	vol	vol	NOUN
easat-7589	1	12	.	.	PROPN
easat-7589	2	1	9	9	NUM
easat-7589	2	2	,	,	PUNCT
easat-7589	2	3	no	no	INTJ
easat-7589	2	4	.	.	NOUN
easat-7589	2	5	5	5	NUM
easat-7589	2	6	,	,	PUNCT
easat-7589	2	7	2750	2750	NUM
easat-7589	2	8	-	-	SYM
easat-7589	2	9	2764	2764	NUM
easat-7589	2	10	2025	2025	NUM
easat-7589	2	11	publisher	publisher	NOUN
easat-7589	2	12	:	:	PUNCT
easat-7589	2	13	learning	learn	VERB
easat-7589	2	14	gate	gate	NOUN
easat-7589	2	15	doi	doi	PROPN
easat-7589	2	16	:	:	PUNCT
easat-7589	2	17	10.55214/25768484.v9i5.7589	10.55214/25768484.v9i5.7589	NUM
easat-7589	2	18	©	©	PROPN
easat-7589	2	19	2025	2025	NUM
easat-7589	2	20	by	by	ADP
easat-7589	2	21	the	the	DET
easat-7589	2	22	authors	author	NOUN
easat-7589	2	23	;	;	PUNCT
easat-7589	2	24	licensee	licensee	PROPN
easat-7589	2	25	learning	learning	NOUN
easat-7589	2	26	gate	gate	NOUN
easat-7589	3	1	©	©	PROPN
easat-7589	3	2	2025	2025	NUM
easat-7589	3	3	by	by	ADP
easat-7589	3	4	the	the	DET
easat-7589	3	5	authors	author	NOUN
easat-7589	3	6	;	;	PUNCT
easat-7589	3	7	licensee	licensee	PROPN
easat-7589	3	8	learning	learning	NOUN
easat-7589	3	9	gate	gate	NOUN
easat-7589	3	10	history	history	NOUN
easat-7589	3	11	:	:	PUNCT
easat-7589	3	12	received	receive	VERB
easat-7589	3	13	:	:	PUNCT
easat-7589	3	14	24	24	NUM
easat-7589	3	15	march	march	NOUN
easat-7589	3	16	2025	2025	NUM
easat-7589	3	17	;	;	PUNCT
easat-7589	3	18	revised	revise	VERB
easat-7589	3	19	:	:	PUNCT
easat-7589	3	20	28	28	NUM
easat-7589	3	21	april	april	PROPN
easat-7589	3	22	2025	2025	NUM
easat-7589	3	23	;	;	PUNCT
easat-7589	3	24	accepted	accept	VERB
easat-7589	3	25	:	:	PUNCT
easat-7589	3	26	1	1	NUM
easat-7589	3	27	april	april	PROPN
easat-7589	3	28	2025	2025	NUM
easat-7589	3	29	;	;	PUNCT
easat-7589	3	30	published	publish	VERB
easat-7589	3	31	:	:	PUNCT
easat-7589	4	1	27	27	NUM
easat-7589	4	2	may	may	PROPN
easat-7589	4	3	2025	2025	NUM
easat-7589	4	4	*	*	PUNCT
easat-7589	4	5	correspondence	correspondence	NOUN
easat-7589	4	6	:	:	PUNCT
easat-7589	4	7	patchanok@mathstat.sci.tu.ac.th	patchanok@mathstat.sci.tu.ac.th	ADJ
easat-7589	4	8	multi	multi	PROPN
easat-7589	4	9	-	-	ADJ
easat-7589	4	10	k	k	ADJ
easat-7589	4	11	knn	knn	PROPN
easat-7589	4	12	regression	regression	PROPN
easat-7589	4	13	with	with	ADP
easat-7589	4	14	bootstrap	bootstrap	NOUN
easat-7589	4	15	aggregation	aggregation	NOUN
easat-7589	4	16	:	:	PUNCT
easat-7589	4	17	accurate	accurate	ADJ
easat-7589	4	18	predictions	prediction	NOUN
easat-7589	4	19	and	and	CCONJ
easat-7589	4	20	alternative	alternative	ADJ
easat-7589	4	21	prediction	prediction	NOUN
easat-7589	4	22	intervals	interval	NOUN
easat-7589	4	23	soraida	soraida	PROPN
easat-7589	4	24	sriprasert1	sriprasert1	PROPN
easat-7589	4	25	,	,	PUNCT
easat-7589	4	26	patchanok	patchanok	NOUN
easat-7589	4	27	srisuradetchai1	srisuradetchai1	NOUN
easat-7589	4	28	*	*	PROPN
easat-7589	4	29	1department	1department	NUM
easat-7589	4	30	of	of	ADP
easat-7589	4	31	mathematics	mathematic	NOUN
easat-7589	4	32	and	and	CCONJ
easat-7589	4	33	statistics	statistic	NOUN
easat-7589	4	34	,	,	PUNCT
easat-7589	4	35	faculty	faculty	NOUN
easat-7589	4	36	of	of	ADP
easat-7589	4	37	science	science	NOUN
easat-7589	4	38	and	and	CCONJ
easat-7589	4	39	technology	technology	NOUN
easat-7589	4	40	,	,	PUNCT
easat-7589	4	41	thammasat	thammasat	PROPN
easat-7589	4	42	university	university	NOUN
easat-7589	4	43	,	,	PUNCT
easat-7589	4	44	pathum	pathum	NOUN
easat-7589	4	45	thani	thani	PROPN
easat-7589	4	46	12120	12120	NUM
easat-7589	4	47	,	,	PUNCT
easat-7589	4	48	thailand	thailand	PROPN
easat-7589	4	49	;	;	PUNCT
easat-7589	4	50	patchanok@mathstat.sci.tu.ac.th	patchanok@mathstat.sci.tu.ac.th	PROPN
easat-7589	4	51	(	(	PUNCT
easat-7589	4	52	p.s	p.s	PROPN
easat-7589	4	53	.	.	PUNCT
easat-7589	4	54	)	)	PUNCT
easat-7589	4	55	.	.	PUNCT
easat-7589	5	1	abstract	abstract	ADV
easat-7589	5	2	:	:	PUNCT
easat-7589	5	3	the	the	DET
easat-7589	5	4	k	k	NOUN
easat-7589	5	5	-	-	PUNCT
easat-7589	5	6	nearest	near	ADJ
easat-7589	5	7	neighbors	neighbor	NOUN
easat-7589	5	8	(	(	PUNCT
easat-7589	5	9	knn	knn	PROPN
easat-7589	5	10	)	)	PUNCT
easat-7589	5	11	algorithm	algorithm	NOUN
easat-7589	5	12	is	be	AUX
easat-7589	5	13	widely	widely	ADV
easat-7589	5	14	recognized	recognize	VERB
easat-7589	5	15	for	for	ADP
easat-7589	5	16	its	its	PRON
easat-7589	5	17	simplicity	simplicity	NOUN
easat-7589	5	18	and	and	CCONJ
easat-7589	5	19	flexibility	flexibility	NOUN
easat-7589	5	20	in	in	ADP
easat-7589	5	21	modeling	model	VERB
easat-7589	5	22	complex	complex	ADJ
easat-7589	5	23	,	,	PUNCT
easat-7589	5	24	non	non	ADJ
easat-7589	5	25	-	-	ADJ
easat-7589	5	26	linear	linear	ADJ
easat-7589	5	27	relationships	relationship	NOUN
easat-7589	5	28	;	;	PUNCT
easat-7589	5	29	however	however	ADV
easat-7589	5	30	,	,	PUNCT
easat-7589	5	31	standard	standard	ADJ
easat-7589	5	32	knn	knn	PROPN
easat-7589	5	33	regression	regression	PROPN
easat-7589	5	34	does	do	AUX
easat-7589	5	35	not	not	PART
easat-7589	5	36	inherently	inherently	ADV
easat-7589	5	37	provide	provide	VERB
easat-7589	5	38	prediction	prediction	NOUN
easat-7589	5	39	intervals	interval	NOUN
easat-7589	5	40	(	(	PUNCT
easat-7589	5	41	pis	pis	NOUN
easat-7589	5	42	)	)	PUNCT
easat-7589	5	43	,	,	PUNCT
easat-7589	5	44	presenting	present	VERB
easat-7589	5	45	a	a	DET
easat-7589	5	46	persistent	persistent	ADJ
easat-7589	5	47	challenge	challenge	NOUN
easat-7589	5	48	for	for	ADP
easat-7589	5	49	uncertainty	uncertainty	NOUN
easat-7589	5	50	quantification	quantification	NOUN
easat-7589	5	51	.	.	PUNCT
easat-7589	6	1	this	this	DET
easat-7589	6	2	study	study	NOUN
easat-7589	6	3	introduces	introduce	VERB
easat-7589	6	4	a	a	DET
easat-7589	6	5	bootstrap	bootstrap	NOUN
easat-7589	6	6	-	-	PUNCT
easat-7589	6	7	based	base	VERB
easat-7589	6	8	multi	multi	ADJ
easat-7589	6	9	-	-	ADJ
easat-7589	6	10	k	k	ADJ
easat-7589	6	11	approach	approach	NOUN
easat-7589	6	12	specifically	specifically	ADV
easat-7589	6	13	designed	design	VERB
easat-7589	6	14	to	to	PART
easat-7589	6	15	construct	construct	VERB
easat-7589	6	16	robust	robust	ADJ
easat-7589	6	17	prediction	prediction	NOUN
easat-7589	6	18	intervals	interval	NOUN
easat-7589	6	19	in	in	ADP
easat-7589	6	20	knn	knn	PROPN
easat-7589	6	21	regression	regression	PROPN
easat-7589	6	22	.	.	PUNCT
easat-7589	7	1	by	by	ADP
easat-7589	7	2	systematically	systematically	ADV
easat-7589	7	3	aggregating	aggregate	VERB
easat-7589	7	4	predictions	prediction	NOUN
easat-7589	7	5	across	across	ADP
easat-7589	7	6	multiple	multiple	ADJ
easat-7589	7	7	neighborhood	neighborhood	NOUN
easat-7589	7	8	sizes	size	NOUN
easat-7589	7	9	through	through	ADP
easat-7589	7	10	ensemble	ensemble	ADJ
easat-7589	7	11	techniques	technique	NOUN
easat-7589	7	12	and	and	CCONJ
easat-7589	7	13	bootstrap	bootstrap	NOUN
easat-7589	7	14	resampling	resampling	NOUN
easat-7589	7	15	,	,	PUNCT
easat-7589	7	16	the	the	DET
easat-7589	7	17	method	method	NOUN
easat-7589	7	18	effectively	effectively	ADV
easat-7589	7	19	quantifies	quantify	VERB
easat-7589	7	20	prediction	prediction	NOUN
easat-7589	7	21	uncertainty	uncertainty	NOUN
easat-7589	7	22	,	,	PUNCT
easat-7589	7	23	particularly	particularly	ADV
easat-7589	7	24	in	in	ADP
easat-7589	7	25	challenging	challenge	VERB
easat-7589	7	26	high	high	ADJ
easat-7589	7	27	-	-	PUNCT
easat-7589	7	28	dimensional	dimensional	ADJ
easat-7589	7	29	scenarios	scenario	NOUN
easat-7589	7	30	.	.	PUNCT
easat-7589	8	1	evaluations	evaluation	NOUN
easat-7589	8	2	conducted	conduct	VERB
easat-7589	8	3	on	on	ADP
easat-7589	8	4	15	15	NUM
easat-7589	8	5	diverse	diverse	ADJ
easat-7589	8	6	datasets	dataset	NOUN
easat-7589	8	7	spanning	span	VERB
easat-7589	8	8	education	education	NOUN
easat-7589	8	9	,	,	PUNCT
easat-7589	8	10	healthcare	healthcare	PROPN
easat-7589	8	11	,	,	PUNCT
easat-7589	8	12	chemistry	chemistry	NOUN
easat-7589	8	13	,	,	PUNCT
easat-7589	8	14	economics	economic	NOUN
easat-7589	8	15	,	,	PUNCT
easat-7589	8	16	and	and	CCONJ
easat-7589	8	17	social	social	ADJ
easat-7589	8	18	sciences	science	NOUN
easat-7589	8	19	reveal	reveal	VERB
easat-7589	8	20	that	that	SCONJ
easat-7589	8	21	the	the	DET
easat-7589	8	22	proposed	propose	VERB
easat-7589	8	23	approach	approach	NOUN
easat-7589	8	24	consistently	consistently	ADV
easat-7589	8	25	achieves	achieve	VERB
easat-7589	8	26	competitive	competitive	ADJ
easat-7589	8	27	predictive	predictive	ADJ
easat-7589	8	28	accuracy	accuracy	NOUN
easat-7589	8	29	compared	compare	VERB
easat-7589	8	30	to	to	ADP
easat-7589	8	31	traditional	traditional	ADJ
easat-7589	8	32	regression	regression	NOUN
easat-7589	8	33	methods	method	NOUN
easat-7589	8	34	.	.	PUNCT
easat-7589	9	1	although	although	SCONJ
easat-7589	9	2	traditional	traditional	ADJ
easat-7589	9	3	regression	regression	NOUN
easat-7589	9	4	produces	produce	VERB
easat-7589	9	5	wider	wide	ADJ
easat-7589	9	6	intervals	interval	NOUN
easat-7589	9	7	with	with	ADP
easat-7589	9	8	higher	high	ADJ
easat-7589	9	9	coverage	coverage	NOUN
easat-7589	9	10	probabilities	probability	NOUN
easat-7589	9	11	,	,	PUNCT
easat-7589	9	12	the	the	DET
easat-7589	9	13	proposed	propose	VERB
easat-7589	9	14	bootstrap	bootstrap	NOUN
easat-7589	9	15	-	-	PUNCT
easat-7589	9	16	based	base	VERB
easat-7589	9	17	knn	knn	PROPN
easat-7589	9	18	method	method	NOUN
easat-7589	9	19	generates	generate	VERB
easat-7589	9	20	notably	notably	ADV
easat-7589	9	21	tighter	tight	ADJ
easat-7589	9	22	intervals	interval	NOUN
easat-7589	9	23	,	,	PUNCT
easat-7589	9	24	enhancing	enhance	VERB
easat-7589	9	25	interpretability	interpretability	NOUN
easat-7589	9	26	and	and	CCONJ
easat-7589	9	27	practical	practical	ADJ
easat-7589	9	28	utility	utility	NOUN
easat-7589	9	29	.	.	PUNCT
easat-7589	10	1	despite	despite	SCONJ
easat-7589	10	2	occasionally	occasionally	ADV
easat-7589	10	3	reduced	reduce	VERB
easat-7589	10	4	coverage	coverage	NOUN
easat-7589	10	5	probabilities	probability	NOUN
easat-7589	10	6	,	,	PUNCT
easat-7589	10	7	especially	especially	ADV
easat-7589	10	8	in	in	ADP
easat-7589	10	9	high	high	ADJ
easat-7589	10	10	-	-	PUNCT
easat-7589	10	11	dimensional	dimensional	ADJ
easat-7589	10	12	contexts	contexts	NOUN
easat-7589	10	13	,	,	PUNCT
easat-7589	10	14	the	the	DET
easat-7589	10	15	proposed	propose	VERB
easat-7589	10	16	methodology	methodology	NOUN
easat-7589	10	17	effectively	effectively	ADV
easat-7589	10	18	balances	balance	VERB
easat-7589	10	19	precision	precision	NOUN
easat-7589	10	20	and	and	CCONJ
easat-7589	10	21	predictive	predictive	ADJ
easat-7589	10	22	coverage	coverage	NOUN
easat-7589	10	23	.	.	PUNCT
easat-7589	11	1	practically	practically	ADV
easat-7589	11	2	,	,	PUNCT
easat-7589	11	3	this	this	DET
easat-7589	11	4	multi	multi	ADJ
easat-7589	11	5	-	-	ADJ
easat-7589	11	6	k	k	ADJ
easat-7589	11	7	bootstrap	bootstrap	NOUN
easat-7589	11	8	approach	approach	NOUN
easat-7589	11	9	provides	provide	VERB
easat-7589	11	10	researchers	researcher	NOUN
easat-7589	11	11	and	and	CCONJ
easat-7589	11	12	practitioners	practitioner	NOUN
easat-7589	11	13	with	with	ADP
easat-7589	11	14	an	an	DET
easat-7589	11	15	effective	effective	ADJ
easat-7589	11	16	and	and	CCONJ
easat-7589	11	17	interpretable	interpretable	ADJ
easat-7589	11	18	method	method	NOUN
easat-7589	11	19	for	for	ADP
easat-7589	11	20	robust	robust	ADJ
easat-7589	11	21	uncertainty	uncertainty	NOUN
easat-7589	11	22	quantification	quantification	NOUN
easat-7589	11	23	in	in	ADP
easat-7589	11	24	complex	complex	ADJ
easat-7589	11	25	predictive	predictive	ADJ
easat-7589	11	26	modeling	modeling	NOUN
easat-7589	11	27	tasks	task	NOUN
easat-7589	11	28	.	.	PUNCT
easat-7589	12	1	keywords	keyword	NOUN
easat-7589	12	2	:	:	PUNCT
easat-7589	12	3	bootstrapping	bootstrappe	VERB
easat-7589	12	4	,	,	PUNCT
easat-7589	12	5	ensemble	ensemble	ADJ
easat-7589	12	6	methods	method	NOUN
easat-7589	12	7	,	,	PUNCT
easat-7589	12	8	k	k	NOUN
easat-7589	12	9	-	-	PUNCT
easat-7589	12	10	nearest	near	ADJ
easat-7589	12	11	neighbors	neighbor	NOUN
easat-7589	12	12	,	,	PUNCT
easat-7589	12	13	knn	knn	PROPN
easat-7589	12	14	regression	regression	PROPN
easat-7589	12	15	,	,	PUNCT
easat-7589	12	16	machine	machine	NOUN
easat-7589	12	17	learning	learning	NOUN
easat-7589	12	18	,	,	PUNCT
easat-7589	12	19	non	non	ADJ
easat-7589	12	20	-	-	ADJ
easat-7589	12	21	parametric	parametric	ADJ
easat-7589	12	22	regression	regression	NOUN
easat-7589	12	23	,	,	PUNCT
easat-7589	12	24	prediction	prediction	NOUN
easat-7589	12	25	intervals	interval	NOUN
easat-7589	12	26	,	,	PUNCT
easat-7589	12	27	uncertainty	uncertainty	NOUN
easat-7589	12	28	quantification	quantification	NOUN
easat-7589	12	29	.	.	PUNCT
easat-7589	13	1	1	1	X
easat-7589	13	2	.	.	X
easat-7589	13	3	introduction	introduction	NOUN
easat-7589	13	4	the	the	DET
easat-7589	13	5	k	k	NOUN
easat-7589	13	6	-	-	PUNCT
easat-7589	13	7	nearest	near	ADJ
easat-7589	13	8	neighbors	neighbor	NOUN
easat-7589	13	9	(	(	PUNCT
easat-7589	13	10	knn	knn	PROPN
easat-7589	13	11	)	)	PUNCT
easat-7589	13	12	algorithm	algorithm	NOUN
easat-7589	13	13	is	be	AUX
easat-7589	13	14	widely	widely	ADV
easat-7589	13	15	recognized	recognize	VERB
easat-7589	13	16	for	for	ADP
easat-7589	13	17	its	its	PRON
easat-7589	13	18	simplicity	simplicity	NOUN
easat-7589	13	19	,	,	PUNCT
easat-7589	13	20	flexibility	flexibility	NOUN
easat-7589	13	21	,	,	PUNCT
easat-7589	13	22	and	and	CCONJ
easat-7589	13	23	effectiveness	effectiveness	NOUN
easat-7589	13	24	in	in	ADP
easat-7589	13	25	modeling	model	VERB
easat-7589	13	26	complex	complex	ADJ
easat-7589	13	27	,	,	PUNCT
easat-7589	13	28	nonlinear	nonlinear	ADJ
easat-7589	13	29	relationships	relationship	NOUN
easat-7589	13	30	across	across	ADP
easat-7589	13	31	diverse	diverse	ADJ
easat-7589	13	32	fields	field	NOUN
easat-7589	13	33	such	such	ADJ
easat-7589	13	34	as	as	ADP
easat-7589	13	35	finance	finance	NOUN
easat-7589	13	36	,	,	PUNCT
easat-7589	13	37	environmental	environmental	ADJ
easat-7589	13	38	monitoring	monitoring	NOUN
easat-7589	13	39	,	,	PUNCT
easat-7589	13	40	medical	medical	ADJ
easat-7589	13	41	diagnostics	diagnostic	NOUN
easat-7589	13	42	,	,	PUNCT
easat-7589	13	43	and	and	CCONJ
easat-7589	13	44	engineering	engineering	NOUN
easat-7589	13	45	.	.	PUNCT
easat-7589	14	1	its	its	PRON
easat-7589	14	2	intuitive	intuitive	ADJ
easat-7589	14	3	nature	nature	NOUN
easat-7589	14	4	and	and	CCONJ
easat-7589	14	5	minimal	minimal	ADJ
easat-7589	14	6	assumptions	assumption	NOUN
easat-7589	14	7	make	make	VERB
easat-7589	14	8	knn	knn	PROPN
easat-7589	14	9	particularly	particularly	ADV
easat-7589	14	10	valuable	valuable	ADJ
easat-7589	14	11	for	for	ADP
easat-7589	14	12	real	real	ADJ
easat-7589	14	13	-	-	PUNCT
easat-7589	14	14	world	world	NOUN
easat-7589	14	15	predictive	predictive	ADJ
easat-7589	14	16	tasks	task	NOUN
easat-7589	14	17	requiring	require	VERB
easat-7589	14	18	both	both	DET
easat-7589	14	19	accuracy	accuracy	NOUN
easat-7589	14	20	and	and	CCONJ
easat-7589	14	21	interpretability	interpretability	NOUN
easat-7589	14	22	.	.	PUNCT
easat-7589	15	1	in	in	ADP
easat-7589	15	2	the	the	DET
easat-7589	15	3	financial	financial	ADJ
easat-7589	15	4	domain	domain	NOUN
easat-7589	15	5	,	,	PUNCT
easat-7589	15	6	knn	knn	PROPN
easat-7589	15	7	has	have	AUX
easat-7589	15	8	demonstrated	demonstrate	VERB
easat-7589	15	9	substantial	substantial	ADJ
easat-7589	15	10	potential	potential	NOUN
easat-7589	15	11	in	in	ADP
easat-7589	15	12	tasks	task	NOUN
easat-7589	15	13	such	such	ADJ
easat-7589	15	14	as	as	ADP
easat-7589	15	15	stock	stock	NOUN
easat-7589	15	16	price	price	NOUN
easat-7589	15	17	prediction	prediction	NOUN
easat-7589	15	18	and	and	CCONJ
easat-7589	15	19	market	market	NOUN
easat-7589	15	20	analysis	analysis	NOUN
easat-7589	15	21	easton	easton	PROPN
easat-7589	15	22	,	,	PUNCT
easat-7589	15	23	et	et	PROPN
easat-7589	15	24	al	al	PROPN
easat-7589	15	25	.	.	PUNCT
easat-7589	16	1	[	[	X
easat-7589	16	2	1	1	NUM
easat-7589	16	3	]	]	PUNCT
easat-7589	16	4	.	.	PUNCT
easat-7589	17	1	for	for	ADP
easat-7589	17	2	example	example	NOUN
easat-7589	17	3	,	,	PUNCT
easat-7589	17	4	alkhatib	alkhatib	PROPN
easat-7589	17	5	,	,	PUNCT
easat-7589	17	6	et	et	PROPN
easat-7589	17	7	al	al	PROPN
easat-7589	17	8	.	.	PUNCT
easat-7589	18	1	[	[	X
easat-7589	18	2	2	2	NUM
easat-7589	18	3	]	]	PUNCT
easat-7589	18	4	utilized	utilize	VERB
easat-7589	18	5	knn	knn	PROPN
easat-7589	18	6	to	to	PART
easat-7589	18	7	forecast	forecast	VERB
easat-7589	18	8	stock	stock	NOUN
easat-7589	18	9	prices	price	NOUN
easat-7589	18	10	for	for	ADP
easat-7589	18	11	companies	company	NOUN
easat-7589	18	12	listed	list	VERB
easat-7589	18	13	on	on	ADP
easat-7589	18	14	the	the	DET
easat-7589	18	15	jordanian	jordanian	ADJ
easat-7589	18	16	stock	stock	NOUN
easat-7589	18	17	exchange	exchange	NOUN
easat-7589	18	18	,	,	PUNCT
easat-7589	18	19	producing	produce	VERB
easat-7589	18	20	predictions	prediction	NOUN
easat-7589	18	21	closely	closely	ADV
easat-7589	18	22	aligned	align	VERB
easat-7589	18	23	with	with	ADP
easat-7589	18	24	actual	actual	ADJ
easat-7589	18	25	market	market	NOUN
easat-7589	18	26	values	value	NOUN
easat-7589	18	27	.	.	PUNCT
easat-7589	19	1	additionally	additionally	ADV
easat-7589	19	2	,	,	PUNCT
easat-7589	19	3	kim	kim	PROPN
easat-7589	20	1	[	[	X
easat-7589	20	2	3	3	NUM
easat-7589	20	3	]	]	PUNCT
easat-7589	20	4	compared	compare	VERB
easat-7589	20	5	knn	knn	PROPN
easat-7589	20	6	against	against	ADP
easat-7589	20	7	support	support	NOUN
easat-7589	20	8	vector	vector	NOUN
easat-7589	20	9	machines	machine	NOUN
easat-7589	20	10	(	(	PUNCT
easat-7589	20	11	svm	svm	PROPN
easat-7589	20	12	)	)	PUNCT
easat-7589	20	13	and	and	CCONJ
easat-7589	20	14	other	other	ADJ
easat-7589	20	15	machine	machine	NOUN
easat-7589	20	16	learning	learning	NOUN
easat-7589	20	17	(	(	PUNCT
easat-7589	20	18	ml	ml	NOUN
easat-7589	20	19	)	)	PUNCT
easat-7589	20	20	techniques	technique	NOUN
easat-7589	20	21	for	for	ADP
easat-7589	20	22	financial	financial	ADJ
easat-7589	20	23	time	time	NOUN
easat-7589	20	24	series	series	PROPN
easat-7589	20	25	forecasting	forecasting	PROPN
easat-7589	20	26	,	,	PUNCT
easat-7589	20	27	highlighting	highlight	VERB
easat-7589	20	28	the	the	DET
easat-7589	20	29	method	method	NOUN
easat-7589	20	30	's	's	PART
easat-7589	20	31	competitive	competitive	ADJ
easat-7589	20	32	performance	performance	NOUN
easat-7589	20	33	and	and	CCONJ
easat-7589	20	34	robustness	robustness	NOUN
easat-7589	20	35	in	in	ADP
easat-7589	20	36	modeling	model	VERB
easat-7589	20	37	intricate	intricate	ADJ
easat-7589	20	38	financial	financial	ADJ
easat-7589	20	39	behaviors	behavior	NOUN
easat-7589	20	40	.	.	PUNCT
easat-7589	21	1	beyond	beyond	ADP
easat-7589	21	2	finance	finance	NOUN
easat-7589	21	3	,	,	PUNCT
easat-7589	21	4	knn	knn	PROPN
easat-7589	21	5	has	have	AUX
easat-7589	21	6	shown	show	VERB
easat-7589	21	7	significant	significant	ADJ
easat-7589	21	8	utility	utility	NOUN
easat-7589	21	9	in	in	ADP
easat-7589	21	10	environmental	environmental	ADJ
easat-7589	21	11	monitoring	monitoring	NOUN
easat-7589	21	12	and	and	CCONJ
easat-7589	21	13	remote	remote	ADJ
easat-7589	21	14	sensing	sense	VERB
easat-7589	21	15	chao	chao	PROPN
easat-7589	21	16	and	and	CCONJ
easat-7589	21	17	guang	guang	PROPN
easat-7589	21	18	qiu	qiu	PROPN
easat-7589	22	1	[	[	X
easat-7589	22	2	4	4	NUM
easat-7589	22	3	]	]	PUNCT
easat-7589	22	4	.	.	PUNCT
easat-7589	23	1	thanh	thanh	PROPN
easat-7589	23	2	noi	noi	PROPN
easat-7589	23	3	and	and	CCONJ
easat-7589	23	4	kappas	kappa	NOUN
easat-7589	24	1	[	[	X
easat-7589	24	2	5	5	NUM
easat-7589	24	3	]	]	PUNCT
easat-7589	24	4	compared	compare	VERB
easat-7589	24	5	knn	knn	PROPN
easat-7589	24	6	with	with	ADP
easat-7589	24	7	random	random	ADJ
easat-7589	24	8	forests	forest	NOUN
easat-7589	24	9	(	(	PUNCT
easat-7589	24	10	rf	rf	NOUN
easat-7589	24	11	)	)	PUNCT
easat-7589	24	12	and	and	CCONJ
easat-7589	24	13	svms	svms	NOUN
easat-7589	24	14	for	for	ADP
easat-7589	24	15	land	land	NOUN
easat-7589	24	16	cover	cover	NOUN
easat-7589	24	17	classification	classification	NOUN
easat-7589	24	18	using	use	VERB
easat-7589	24	19	sentinel-2	sentinel-2	ADJ
easat-7589	24	20	satellite	satellite	NOUN
easat-7589	24	21	imagery	imagery	NOUN
easat-7589	24	22	,	,	PUNCT
easat-7589	24	23	demonstrating	demonstrate	VERB
easat-7589	24	24	knn	knn	PROPN
easat-7589	24	25	’s	’s	PART
easat-7589	24	26	strong	strong	ADJ
easat-7589	24	27	performance	performance	NOUN
easat-7589	24	28	.	.	PUNCT
easat-7589	25	1	knn	knn	PROPN
easat-7589	25	2	has	have	AUX
easat-7589	25	3	also	also	ADV
easat-7589	25	4	effectively	effectively	ADV
easat-7589	25	5	contributed	contribute	VERB
easat-7589	25	6	to	to	ADP
easat-7589	25	7	air	air	NOUN
easat-7589	25	8	quality	quality	NOUN
easat-7589	25	9	prediction	prediction	NOUN
easat-7589	25	10	and	and	CCONJ
easat-7589	25	11	monitoring	monitor	VERB
easat-7589	25	12	[	[	X
easat-7589	25	13	6	6	NUM
easat-7589	25	14	,	,	PUNCT
easat-7589	25	15	https://orcid.org/0000-0002-9925-9615	https://orcid.org/0000-0002-9925-9615	NOUN
easat-7589	25	16	https://orcid.org/0009-0003-4519-9105	https://orcid.org/0009-0003-4519-9105	PROPN
easat-7589	25	17	2751	2751	NUM
easat-7589	25	18	edelweiss	edelweiss	PROPN
easat-7589	25	19	applied	apply	VERB
easat-7589	25	20	science	science	NOUN
easat-7589	25	21	and	and	CCONJ
easat-7589	25	22	technology	technology	NOUN
easat-7589	25	23	issn	issn	PROPN
easat-7589	25	24	:	:	PUNCT
easat-7589	25	25	2576	2576	NUM
easat-7589	25	26	-	-	SYM
easat-7589	25	27	8484	8484	NUM
easat-7589	25	28	vol	vol	NOUN
easat-7589	25	29	.	.	PROPN
easat-7589	26	1	9	9	NUM
easat-7589	26	2	,	,	PUNCT
easat-7589	26	3	no	no	INTJ
easat-7589	26	4	.	.	NOUN
easat-7589	26	5	5	5	NUM
easat-7589	26	6	:	:	PUNCT
easat-7589	26	7	2750	2750	NUM
easat-7589	26	8	-	-	SYM
easat-7589	26	9	2764	2764	NUM
easat-7589	26	10	,	,	PUNCT
easat-7589	26	11	2025	2025	NUM
easat-7589	26	12	doi	doi	NOUN
easat-7589	26	13	:	:	PUNCT
easat-7589	26	14	10.55214/25768484.v9i5.7589	10.55214/25768484.v9i5.7589	NUM
easat-7589	26	15	©	©	PROPN
easat-7589	26	16	2025	2025	NUM
easat-7589	26	17	by	by	ADP
easat-7589	26	18	the	the	DET
easat-7589	26	19	authors	author	NOUN
easat-7589	26	20	;	;	PUNCT
easat-7589	26	21	licensee	licensee	PROPN
easat-7589	26	22	learning	learning	NOUN
easat-7589	26	23	gate	gate	NOUN
easat-7589	26	24	7	7	NUM
easat-7589	26	25	]	]	PUNCT
easat-7589	26	26	and	and	CCONJ
easat-7589	26	27	has	have	AUX
easat-7589	26	28	proven	prove	VERB
easat-7589	26	29	adaptable	adaptable	ADJ
easat-7589	26	30	in	in	ADP
easat-7589	26	31	forecasting	forecast	VERB
easat-7589	26	32	covid-19	covid-19	PROPN
easat-7589	26	33	cases	case	NOUN
easat-7589	26	34	sejuti	sejuti	PROPN
easat-7589	26	35	and	and	CCONJ
easat-7589	26	36	islam	islam	PROPN
easat-7589	27	1	[	[	X
easat-7589	27	2	8	8	NUM
easat-7589	27	3	]	]	PUNCT
easat-7589	27	4	thus	thus	ADV
easat-7589	27	5	underscoring	underscore	VERB
easat-7589	27	6	its	its	PRON
easat-7589	27	7	applicability	applicability	NOUN
easat-7589	27	8	to	to	ADP
easat-7589	27	9	pressing	press	VERB
easat-7589	27	10	public	public	ADJ
easat-7589	27	11	health	health	NOUN
easat-7589	27	12	and	and	CCONJ
easat-7589	27	13	environmental	environmental	ADJ
easat-7589	27	14	issues	issue	NOUN
easat-7589	27	15	.	.	PUNCT
easat-7589	28	1	in	in	ADP
easat-7589	28	2	engineering	engineering	NOUN
easat-7589	28	3	,	,	PUNCT
easat-7589	28	4	knn	knn	PROPN
easat-7589	28	5	has	have	AUX
easat-7589	28	6	been	be	AUX
easat-7589	28	7	successfully	successfully	ADV
easat-7589	28	8	applied	apply	VERB
easat-7589	28	9	to	to	ADP
easat-7589	28	10	various	various	ADJ
easat-7589	28	11	predictive	predictive	ADJ
easat-7589	28	12	tasks	task	NOUN
easat-7589	28	13	.	.	PUNCT
easat-7589	29	1	for	for	ADP
easat-7589	29	2	instance	instance	NOUN
easat-7589	29	3	,	,	PUNCT
easat-7589	29	4	aldosary	aldosary	ADJ
easat-7589	29	5	,	,	PUNCT
easat-7589	29	6	et	et	PROPN
easat-7589	29	7	al	al	PROPN
easat-7589	29	8	.	.	PUNCT
easat-7589	30	1	[	[	X
easat-7589	30	2	9	9	NUM
easat-7589	30	3	]	]	PUNCT
easat-7589	30	4	demonstrated	demonstrate	VERB
easat-7589	30	5	the	the	DET
easat-7589	30	6	effectiveness	effectiveness	NOUN
easat-7589	30	7	of	of	ADP
easat-7589	30	8	knn	knn	PROPN
easat-7589	30	9	in	in	ADP
easat-7589	30	10	predicting	predict	VERB
easat-7589	30	11	fuel	fuel	NOUN
easat-7589	30	12	consumption	consumption	NOUN
easat-7589	30	13	for	for	ADP
easat-7589	30	14	tractorchisel	tractorchisel	NOUN
easat-7589	30	15	plow	plow	NOUN
easat-7589	30	16	systems	system	NOUN
easat-7589	30	17	,	,	PUNCT
easat-7589	30	18	achieving	achieve	VERB
easat-7589	30	19	superior	superior	ADJ
easat-7589	30	20	outcomes	outcome	NOUN
easat-7589	30	21	compared	compare	VERB
easat-7589	30	22	to	to	ADP
easat-7589	30	23	traditional	traditional	ADJ
easat-7589	30	24	multiple	multiple	ADJ
easat-7589	30	25	linear	linear	ADJ
easat-7589	30	26	regression	regression	NOUN
easat-7589	30	27	(	(	PUNCT
easat-7589	30	28	mlr	mlr	NOUN
easat-7589	30	29	)	)	PUNCT
easat-7589	30	30	models	model	NOUN
easat-7589	30	31	.	.	PUNCT
easat-7589	31	1	zhang	zhang	PROPN
easat-7589	31	2	,	,	PUNCT
easat-7589	31	3	et	et	PROPN
easat-7589	31	4	al	al	PROPN
easat-7589	31	5	.	.	PUNCT
easat-7589	32	1	[	[	X
easat-7589	32	2	10	10	NUM
easat-7589	32	3	]	]	PUNCT
easat-7589	32	4	introduced	introduce	VERB
easat-7589	32	5	a	a	DET
easat-7589	32	6	hybrid	hybrid	ADJ
easat-7589	32	7	metric	metric	ADV
easat-7589	32	8	-	-	PUNCT
easat-7589	32	9	based	base	VERB
easat-7589	32	10	knn	knn	PROPN
easat-7589	32	11	approach	approach	NOUN
easat-7589	32	12	incorporating	incorporate	VERB
easat-7589	32	13	both	both	DET
easat-7589	32	14	distance	distance	NOUN
easat-7589	32	15	and	and	CCONJ
easat-7589	32	16	direction	direction	NOUN
easat-7589	32	17	information	information	NOUN
easat-7589	32	18	,	,	PUNCT
easat-7589	32	19	enhancing	enhance	VERB
easat-7589	32	20	forward	forward	ADV
easat-7589	32	21	gait	gait	ADJ
easat-7589	32	22	stability	stability	NOUN
easat-7589	32	23	control	control	NOUN
easat-7589	32	24	in	in	ADP
easat-7589	32	25	bipedal	bipedal	ADJ
easat-7589	32	26	robots	robot	NOUN
easat-7589	32	27	and	and	CCONJ
easat-7589	32	28	effectively	effectively	ADV
easat-7589	32	29	identifying	identify	VERB
easat-7589	32	30	faults	fault	NOUN
easat-7589	32	31	associated	associate	VERB
easat-7589	32	32	with	with	ADP
easat-7589	32	33	abnormal	abnormal	ADJ
easat-7589	32	34	motion	motion	NOUN
easat-7589	32	35	.	.	PUNCT
easat-7589	33	1	similarly	similarly	ADV
easat-7589	33	2	,	,	PUNCT
easat-7589	33	3	jegorowa	jegorowa	PROPN
easat-7589	33	4	,	,	PUNCT
easat-7589	33	5	et	et	PROPN
easat-7589	33	6	al	al	PROPN
easat-7589	33	7	.	.	PUNCT
easat-7589	34	1	[	[	X
easat-7589	34	2	11	11	NUM
easat-7589	34	3	]	]	PUNCT
easat-7589	34	4	developed	develop	VERB
easat-7589	34	5	a	a	DET
easat-7589	34	6	non	non	ADJ
easat-7589	34	7	-	-	ADJ
easat-7589	34	8	invasive	invasive	ADJ
easat-7589	34	9	,	,	PUNCT
easat-7589	34	10	automated	automate	VERB
easat-7589	34	11	system	system	NOUN
easat-7589	34	12	employing	employ	VERB
easat-7589	34	13	knn	knn	PROPN
easat-7589	34	14	to	to	PART
easat-7589	34	15	evaluate	evaluate	VERB
easat-7589	34	16	drill	drill	NOUN
easat-7589	34	17	-	-	PUNCT
easat-7589	34	18	bit	bit	NOUN
easat-7589	34	19	conditions	condition	NOUN
easat-7589	34	20	based	base	VERB
easat-7589	34	21	on	on	ADP
easat-7589	34	22	operational	operational	ADJ
easat-7589	34	23	data	datum	NOUN
easat-7589	34	24	such	such	ADJ
easat-7589	34	25	as	as	ADP
easat-7589	34	26	feed	feed	NOUN
easat-7589	34	27	force	force	NOUN
easat-7589	34	28	,	,	PUNCT
easat-7589	34	29	cutting	cut	VERB
easat-7589	34	30	torque	torque	NOUN
easat-7589	34	31	,	,	PUNCT
easat-7589	34	32	jig	jig	NOUN
easat-7589	34	33	vibrations	vibration	NOUN
easat-7589	34	34	,	,	PUNCT
easat-7589	34	35	acoustic	acoustic	ADJ
easat-7589	34	36	emissions	emission	NOUN
easat-7589	34	37	,	,	PUNCT
easat-7589	34	38	and	and	CCONJ
easat-7589	34	39	noise	noise	NOUN
easat-7589	34	40	.	.	PUNCT
easat-7589	35	1	the	the	DET
easat-7589	35	2	medical	medical	ADJ
easat-7589	35	3	field	field	NOUN
easat-7589	35	4	has	have	AUX
easat-7589	35	5	also	also	ADV
easat-7589	35	6	benefited	benefit	VERB
easat-7589	35	7	significantly	significantly	ADV
easat-7589	35	8	from	from	ADP
easat-7589	35	9	knn	knn	PROPN
easat-7589	35	10	,	,	PUNCT
easat-7589	35	11	especially	especially	ADV
easat-7589	35	12	in	in	ADP
easat-7589	35	13	automated	automate	VERB
easat-7589	35	14	diagnostic	diagnostic	ADJ
easat-7589	35	15	systems	system	NOUN
easat-7589	35	16	.	.	PUNCT
easat-7589	36	1	onan	onan	PROPN
easat-7589	37	1	[	[	X
easat-7589	37	2	12	12	NUM
easat-7589	37	3	]	]	PUNCT
easat-7589	37	4	proposed	propose	VERB
easat-7589	37	5	a	a	DET
easat-7589	37	6	fuzzy	fuzzy	ADJ
easat-7589	37	7	-	-	PUNCT
easat-7589	37	8	rough	rough	ADJ
easat-7589	37	9	nearest	near	ADJ
easat-7589	37	10	neighbor	neighbor	NOUN
easat-7589	37	11	classifier	classifier	NOUN
easat-7589	37	12	enhanced	enhance	VERB
easat-7589	37	13	with	with	ADP
easat-7589	37	14	consistencybased	consistencybase	VERB
easat-7589	37	15	subset	subset	NOUN
easat-7589	37	16	evaluation	evaluation	NOUN
easat-7589	37	17	and	and	CCONJ
easat-7589	37	18	instance	instance	NOUN
easat-7589	37	19	selection	selection	NOUN
easat-7589	37	20	,	,	PUNCT
easat-7589	37	21	resulting	result	VERB
easat-7589	37	22	in	in	ADP
easat-7589	37	23	improved	improved	ADJ
easat-7589	37	24	accuracy	accuracy	NOUN
easat-7589	37	25	for	for	ADP
easat-7589	37	26	breast	breast	NOUN
easat-7589	37	27	cancer	cancer	NOUN
easat-7589	37	28	diagnosis	diagnosis	NOUN
easat-7589	37	29	.	.	PUNCT
easat-7589	38	1	shouman	shouman	PROPN
easat-7589	38	2	,	,	PUNCT
easat-7589	38	3	et	et	PROPN
easat-7589	38	4	al	al	PROPN
easat-7589	38	5	.	.	PUNCT
easat-7589	39	1	[	[	X
easat-7589	39	2	13	13	NUM
easat-7589	39	3	]	]	PUNCT
easat-7589	39	4	applied	apply	VERB
easat-7589	39	5	knn	knn	PROPN
easat-7589	39	6	to	to	PART
easat-7589	39	7	diagnose	diagnose	VERB
easat-7589	39	8	heart	heart	NOUN
easat-7589	39	9	disease	disease	NOUN
easat-7589	39	10	,	,	PUNCT
easat-7589	39	11	demonstrating	demonstrate	VERB
easat-7589	39	12	the	the	DET
easat-7589	39	13	method	method	NOUN
easat-7589	39	14	’s	’s	PART
easat-7589	39	15	reliability	reliability	NOUN
easat-7589	39	16	and	and	CCONJ
easat-7589	39	17	effectiveness	effectiveness	NOUN
easat-7589	39	18	.	.	PUNCT
easat-7589	40	1	liu	liu	PROPN
easat-7589	40	2	,	,	PUNCT
easat-7589	40	3	et	et	PROPN
easat-7589	40	4	al	al	PROPN
easat-7589	40	5	.	.	PUNCT
easat-7589	41	1	[	[	X
easat-7589	41	2	14	14	NUM
easat-7589	41	3	]	]	PUNCT
easat-7589	41	4	employed	employ	VERB
easat-7589	41	5	knn	knn	PROPN
easat-7589	41	6	for	for	ADP
easat-7589	41	7	predicting	predict	VERB
easat-7589	41	8	early	early	ADJ
easat-7589	41	9	recurrence	recurrence	NOUN
easat-7589	41	10	in	in	ADP
easat-7589	41	11	hepatocellular	hepatocellular	ADJ
easat-7589	41	12	carcinoma	carcinoma	NOUN
easat-7589	41	13	patients	patient	NOUN
easat-7589	41	14	,	,	PUNCT
easat-7589	41	15	illustrating	illustrate	VERB
easat-7589	41	16	its	its	PRON
easat-7589	41	17	strength	strength	NOUN
easat-7589	41	18	in	in	ADP
easat-7589	41	19	oncology	oncology	NOUN
easat-7589	41	20	.	.	PUNCT
easat-7589	42	1	additionally	additionally	ADV
easat-7589	42	2	,	,	PUNCT
easat-7589	42	3	archana	archana	PROPN
easat-7589	42	4	and	and	CCONJ
easat-7589	42	5	komarasamy	komarasamy	VERB
easat-7589	42	6	[	[	X
easat-7589	42	7	15	15	NUM
easat-7589	42	8	]	]	PUNCT
easat-7589	42	9	introduced	introduce	VERB
easat-7589	42	10	an	an	DET
easat-7589	42	11	innovative	innovative	ADJ
easat-7589	42	12	ensemble	ensemble	ADJ
easat-7589	42	13	method	method	NOUN
easat-7589	42	14	combining	combine	VERB
easat-7589	42	15	bagging	bagging	NOUN
easat-7589	42	16	techniques	technique	NOUN
easat-7589	42	17	with	with	ADP
easat-7589	42	18	knn	knn	PROPN
easat-7589	42	19	,	,	PUNCT
easat-7589	42	20	significantly	significantly	ADV
easat-7589	42	21	enhancing	enhance	VERB
easat-7589	42	22	brain	brain	NOUN
easat-7589	42	23	malignancy	malignancy	NOUN
easat-7589	42	24	detection	detection	NOUN
easat-7589	42	25	accuracy	accuracy	NOUN
easat-7589	42	26	.	.	PUNCT
easat-7589	43	1	a	a	DET
easat-7589	43	2	comprehensive	comprehensive	ADJ
easat-7589	43	3	review	review	NOUN
easat-7589	43	4	by	by	ADP
easat-7589	43	5	halder	halder	PROPN
easat-7589	43	6	,	,	PUNCT
easat-7589	43	7	et	et	PROPN
easat-7589	43	8	al	al	PROPN
easat-7589	43	9	.	.	PUNCT
easat-7589	44	1	[	[	X
easat-7589	44	2	16	16	NUM
easat-7589	44	3	]	]	PUNCT
easat-7589	44	4	summarized	summarize	VERB
easat-7589	44	5	recent	recent	ADJ
easat-7589	44	6	advancements	advancement	NOUN
easat-7589	44	7	in	in	ADP
easat-7589	44	8	knn	knn	PROPN
easat-7589	44	9	methodologies	methodology	NOUN
easat-7589	44	10	,	,	PUNCT
easat-7589	44	11	highlighting	highlight	VERB
easat-7589	44	12	the	the	DET
easat-7589	44	13	algorithm	algorithm	NOUN
easat-7589	44	14	’s	’s	PART
easat-7589	44	15	increasing	increase	VERB
easat-7589	44	16	adaptability	adaptability	NOUN
easat-7589	44	17	to	to	ADP
easat-7589	44	18	various	various	ADJ
easat-7589	44	19	predictive	predictive	ADJ
easat-7589	44	20	modeling	modeling	NOUN
easat-7589	44	21	challenges	challenge	NOUN
easat-7589	44	22	.	.	PUNCT
easat-7589	45	1	notable	notable	ADJ
easat-7589	45	2	developments	development	NOUN
easat-7589	45	3	include	include	VERB
easat-7589	45	4	feature	feature	NOUN
easat-7589	45	5	randomization	randomization	NOUN
easat-7589	45	6	and	and	CCONJ
easat-7589	45	7	bootstrapping	bootstrappe	VERB
easat-7589	45	8	for	for	ADP
easat-7589	45	9	kernel	kernel	PROPN
easat-7589	45	10	knn	knn	PROPN
easat-7589	45	11	proposed	propose	VERB
easat-7589	45	12	by	by	ADP
easat-7589	45	13	srisuradetchai	srisuradetchai	NOUN
easat-7589	45	14	and	and	CCONJ
easat-7589	45	15	suksrikran	suksrikran	NOUN
easat-7589	46	1	[	[	X
easat-7589	46	2	17	17	NUM
easat-7589	46	3	]	]	X
easat-7589	46	4	adaptive	adaptive	ADJ
easat-7589	46	5	soft	soft	ADJ
easat-7589	46	6	knn	knn	PROPN
easat-7589	46	7	classifiers	classifier	NOUN
easat-7589	46	8	capable	capable	ADJ
easat-7589	46	9	of	of	ADP
easat-7589	46	10	estimating	estimate	VERB
easat-7589	46	11	posterior	posterior	ADJ
easat-7589	46	12	probabilities	probability	NOUN
easat-7589	46	13	introduced	introduce	VERB
easat-7589	46	14	by	by	ADP
easat-7589	46	15	bermejo	bermejo	ADJ
easat-7589	46	16	and	and	CCONJ
easat-7589	46	17	cabestany	cabestany	NOUN
easat-7589	46	18	[	[	X
easat-7589	46	19	18	18	NUM
easat-7589	46	20	]	]	PUNCT
easat-7589	46	21	and	and	CCONJ
easat-7589	46	22	hybrid	hybrid	ADJ
easat-7589	46	23	approaches	approach	NOUN
easat-7589	46	24	combining	combine	VERB
easat-7589	46	25	kmeans	kmean	NOUN
easat-7589	46	26	clustering	cluster	VERB
easat-7589	46	27	and	and	CCONJ
easat-7589	46	28	knn	knn	VERB
easat-7589	46	29	classification	classification	NOUN
easat-7589	46	30	by	by	ADP
easat-7589	46	31	deng	deng	PROPN
easat-7589	46	32	,	,	PUNCT
easat-7589	46	33	et	et	PROPN
easat-7589	46	34	al	al	PROPN
easat-7589	46	35	.	.	PUNCT
easat-7589	47	1	[	[	X
easat-7589	47	2	19	19	NUM
easat-7589	47	3	]	]	PUNCT
easat-7589	47	4	.	.	PUNCT
easat-7589	48	1	further	further	ADJ
easat-7589	48	2	methodological	methodological	ADJ
easat-7589	48	3	innovations	innovation	NOUN
easat-7589	48	4	encompass	encompass	VERB
easat-7589	48	5	dimensionality	dimensionality	NOUN
easat-7589	48	6	reduction	reduction	NOUN
easat-7589	48	7	algorithms	algorithm	NOUN
easat-7589	48	8	such	such	ADJ
easat-7589	48	9	as	as	ADP
easat-7589	48	10	q	q	NOUN
easat-7589	48	11	-	-	NOUN
easat-7589	48	12	sne	sne	NOUN
easat-7589	48	13	by	by	ADP
easat-7589	48	14	ingram	ingram	PROPN
easat-7589	48	15	and	and	CCONJ
easat-7589	48	16	munzner	munzner	ADV
easat-7589	48	17	[	[	X
easat-7589	48	18	20	20	NUM
easat-7589	48	19	]	]	PUNCT
easat-7589	48	20	structured	structured	ADJ
easat-7589	48	21	data	data	NOUN
easat-7589	48	22	processing	processing	NOUN
easat-7589	48	23	strategies	strategy	NOUN
easat-7589	48	24	addressing	address	VERB
easat-7589	48	25	big	big	ADJ
easat-7589	48	26	data	datum	NOUN
easat-7589	48	27	challenges	challenge	NOUN
easat-7589	48	28	by	by	ADP
easat-7589	48	29	pramanik	pramanik	NOUN
easat-7589	48	30	,	,	PUNCT
easat-7589	48	31	et	et	PROPN
easat-7589	48	32	al	al	PROPN
easat-7589	48	33	.	.	PUNCT
easat-7589	49	1	[	[	X
easat-7589	49	2	21	21	NUM
easat-7589	49	3	]	]	X
easat-7589	49	4	efficient	efficient	ADJ
easat-7589	49	5	data	datum	NOUN
easat-7589	49	6	partitioning	partitioning	NOUN
easat-7589	49	7	methods	method	NOUN
easat-7589	49	8	proposed	propose	VERB
easat-7589	49	9	by	by	ADP
easat-7589	49	10	saadatfar	saadatfar	PROPN
easat-7589	49	11	,	,	PUNCT
easat-7589	49	12	et	et	PROPN
easat-7589	49	13	al	al	PROPN
easat-7589	49	14	.	.	PUNCT
easat-7589	50	1	[	[	X
easat-7589	50	2	22	22	NUM
easat-7589	50	3	]	]	X
easat-7589	50	4	ncp	ncp	PROPN
easat-7589	50	5	-	-	PUNCT
easat-7589	50	6	knn	knn	PROPN
easat-7589	50	7	techniques	technique	NOUN
easat-7589	50	8	introduced	introduce	VERB
easat-7589	50	9	by	by	ADP
easat-7589	50	10	abdalla	abdalla	PROPN
easat-7589	50	11	and	and	CCONJ
easat-7589	50	12	amer	amer	NOUN
easat-7589	51	1	[	[	X
easat-7589	51	2	23	23	NUM
easat-7589	51	3	]	]	PUNCT
easat-7589	51	4	to	to	PART
easat-7589	51	5	reduce	reduce	VERB
easat-7589	51	6	computational	computational	ADJ
easat-7589	51	7	complexity	complexity	NOUN
easat-7589	51	8	,	,	PUNCT
easat-7589	51	9	and	and	CCONJ
easat-7589	51	10	advanced	advanced	ADJ
easat-7589	51	11	exact	exact	ADJ
easat-7589	51	12	knn	knn	PROPN
easat-7589	51	13	queries	query	NOUN
easat-7589	51	14	for	for	ADP
easat-7589	51	15	highdimensional	highdimensional	ADJ
easat-7589	51	16	data	datum	NOUN
easat-7589	51	17	discussed	discuss	VERB
easat-7589	51	18	by	by	ADP
easat-7589	51	19	ukey	ukey	PROPN
easat-7589	51	20	,	,	PUNCT
easat-7589	51	21	et	et	PROPN
easat-7589	51	22	al	al	PROPN
easat-7589	51	23	.	.	PUNCT
easat-7589	52	1	[	[	X
easat-7589	52	2	24	24	NUM
easat-7589	52	3	]	]	PUNCT
easat-7589	52	4	.	.	PUNCT
easat-7589	53	1	prediction	prediction	NOUN
easat-7589	53	2	intervals	interval	NOUN
easat-7589	53	3	significantly	significantly	ADV
easat-7589	53	4	enhance	enhance	VERB
easat-7589	53	5	the	the	DET
easat-7589	53	6	practical	practical	ADJ
easat-7589	53	7	utility	utility	NOUN
easat-7589	53	8	of	of	ADP
easat-7589	53	9	knn	knn	PROPN
easat-7589	53	10	regression	regression	NOUN
easat-7589	53	11	by	by	ADP
easat-7589	53	12	quantifying	quantify	VERB
easat-7589	53	13	predictive	predictive	ADJ
easat-7589	53	14	uncertainty	uncertainty	NOUN
easat-7589	53	15	,	,	PUNCT
easat-7589	53	16	thereby	thereby	ADV
easat-7589	53	17	providing	provide	VERB
easat-7589	53	18	intervals	interval	NOUN
easat-7589	53	19	within	within	ADP
easat-7589	53	20	which	which	PRON
easat-7589	53	21	true	true	ADJ
easat-7589	53	22	outcomes	outcome	NOUN
easat-7589	53	23	likely	likely	ADV
easat-7589	53	24	reside	reside	VERB
easat-7589	53	25	,	,	PUNCT
easat-7589	53	26	rather	rather	ADV
easat-7589	53	27	than	than	ADP
easat-7589	53	28	offering	offer	VERB
easat-7589	53	29	single	single	ADJ
easat-7589	53	30	point	point	NOUN
easat-7589	53	31	estimates	estimate	NOUN
easat-7589	53	32	[	[	X
easat-7589	53	33	25	25	NUM
easat-7589	53	34	]	]	PUNCT
easat-7589	53	35	.	.	PUNCT
easat-7589	54	1	such	such	ADJ
easat-7589	54	2	intervals	interval	NOUN
easat-7589	54	3	are	be	AUX
easat-7589	54	4	particularly	particularly	ADV
easat-7589	54	5	crucial	crucial	ADJ
easat-7589	54	6	in	in	ADP
easat-7589	54	7	decision	decision	NOUN
easat-7589	54	8	-	-	PUNCT
easat-7589	54	9	making	make	VERB
easat-7589	54	10	scenarios	scenario	NOUN
easat-7589	54	11	,	,	PUNCT
easat-7589	54	12	including	include	VERB
easat-7589	54	13	aircraft	aircraft	NOUN
easat-7589	54	14	trajectory	trajectory	NOUN
easat-7589	54	15	prediction	prediction	NOUN
easat-7589	54	16	or	or	CCONJ
easat-7589	54	17	parking	parking	NOUN
easat-7589	54	18	availability	availability	NOUN
easat-7589	54	19	forecasting	forecasting	NOUN
easat-7589	54	20	,	,	PUNCT
easat-7589	54	21	where	where	SCONJ
easat-7589	54	22	understanding	understanding	NOUN
easat-7589	54	23	outcome	outcome	NOUN
easat-7589	54	24	variability	variability	NOUN
easat-7589	54	25	is	be	AUX
easat-7589	54	26	essential	essential	ADJ
easat-7589	54	27	.	.	PUNCT
easat-7589	55	1	additionally	additionally	ADV
easat-7589	55	2	,	,	PUNCT
easat-7589	55	3	prediction	prediction	NOUN
easat-7589	55	4	intervals	interval	NOUN
easat-7589	55	5	facilitate	facilitate	VERB
easat-7589	55	6	more	more	ADV
easat-7589	55	7	accurate	accurate	ADJ
easat-7589	55	8	assessments	assessment	NOUN
easat-7589	55	9	of	of	ADP
easat-7589	55	10	model	model	NOUN
easat-7589	55	11	reliability	reliability	NOUN
easat-7589	55	12	,	,	PUNCT
easat-7589	55	13	especially	especially	ADV
easat-7589	55	14	in	in	ADP
easat-7589	55	15	scenarios	scenario	NOUN
easat-7589	55	16	involving	involve	VERB
easat-7589	55	17	heteroscedastic	heteroscedastic	ADJ
easat-7589	55	18	data	datum	NOUN
easat-7589	55	19	or	or	CCONJ
easat-7589	55	20	complex	complex	ADJ
easat-7589	55	21	nonlinear	nonlinear	ADJ
easat-7589	55	22	relationships	relationship	NOUN
easat-7589	55	23	[	[	X
easat-7589	55	24	26	26	NUM
easat-7589	55	25	]	]	PUNCT
easat-7589	55	26	.	.	PUNCT
easat-7589	56	1	these	these	DET
easat-7589	56	2	intervals	interval	NOUN
easat-7589	56	3	are	be	AUX
easat-7589	56	4	especially	especially	ADV
easat-7589	56	5	important	important	ADJ
easat-7589	56	6	in	in	ADP
easat-7589	56	7	sectors	sector	NOUN
easat-7589	56	8	like	like	ADP
easat-7589	56	9	agriculture	agriculture	NOUN
easat-7589	56	10	and	and	CCONJ
easat-7589	56	11	healthcare	healthcare	PROPN
easat-7589	56	12	,	,	PUNCT
easat-7589	56	13	where	where	SCONJ
easat-7589	56	14	managing	manage	VERB
easat-7589	56	15	uncertainty	uncertainty	NOUN
easat-7589	56	16	induced	induce	VERB
easat-7589	56	17	by	by	ADP
easat-7589	56	18	climate	climate	NOUN
easat-7589	56	19	variability	variability	NOUN
easat-7589	56	20	is	be	AUX
easat-7589	56	21	paramount	paramount	ADJ
easat-7589	56	22	.	.	PUNCT
easat-7589	57	1	for	for	ADP
easat-7589	57	2	instance	instance	NOUN
easat-7589	57	3	,	,	PUNCT
easat-7589	57	4	srisuradetchai	srisuradetchai	NOUN
easat-7589	57	5	[	[	X
easat-7589	57	6	27	27	NUM
easat-7589	57	7	]	]	PUNCT
easat-7589	57	8	demonstrated	demonstrate	VERB
easat-7589	57	9	effective	effective	ADJ
easat-7589	57	10	interval	interval	NOUN
easat-7589	57	11	forecasting	forecasting	NOUN
easat-7589	57	12	for	for	ADP
easat-7589	57	13	time	time	NOUN
easat-7589	57	14	-	-	PUNCT
easat-7589	57	15	series	series	NOUN
easat-7589	57	16	knn	knn	PROPN
easat-7589	57	17	regression	regression	PROPN
easat-7589	57	18	.	.	PUNCT
easat-7589	58	1	despite	despite	SCONJ
easat-7589	58	2	the	the	DET
easat-7589	58	3	widespread	widespread	ADJ
easat-7589	58	4	adoption	adoption	NOUN
easat-7589	58	5	and	and	CCONJ
easat-7589	58	6	continuous	continuous	ADJ
easat-7589	58	7	advancements	advancement	NOUN
easat-7589	58	8	in	in	ADP
easat-7589	58	9	knn	knn	PROPN
easat-7589	58	10	regression	regression	NOUN
easat-7589	58	11	methods	method	NOUN
easat-7589	58	12	,	,	PUNCT
easat-7589	58	13	reliably	reliably	ADV
easat-7589	58	14	constructing	construct	VERB
easat-7589	58	15	pis	pis	NOUN
easat-7589	58	16	remains	remain	NOUN
easat-7589	58	17	challenging	challenge	VERB
easat-7589	58	18	.	.	PUNCT
easat-7589	59	1	this	this	DET
easat-7589	59	2	study	study	NOUN
easat-7589	59	3	addresses	address	VERB
easat-7589	59	4	this	this	DET
easat-7589	59	5	critical	critical	ADJ
easat-7589	59	6	gap	gap	NOUN
easat-7589	59	7	by	by	ADP
easat-7589	59	8	integrating	integrate	VERB
easat-7589	59	9	ensemble	ensemble	ADJ
easat-7589	59	10	and	and	CCONJ
easat-7589	59	11	bootstrap	bootstrap	NOUN
easat-7589	59	12	techniques	technique	NOUN
easat-7589	59	13	specifically	specifically	ADV
easat-7589	59	14	tailored	tailor	VERB
easat-7589	59	15	to	to	PART
easat-7589	59	16	knn	knn	VERB
easat-7589	59	17	regression	regression	PROPN
easat-7589	59	18	.	.	PUNCT
easat-7589	60	1	to	to	ADP
easat-7589	60	2	our	our	PRON
easat-7589	60	3	knowledge	knowledge	NOUN
easat-7589	60	4	,	,	PUNCT
easat-7589	60	5	explicitly	explicitly	ADV
easat-7589	60	6	incorporating	incorporate	VERB
easat-7589	60	7	multiple	multiple	ADJ
easat-7589	60	8	neighborhood	neighborhood	NOUN
easat-7589	60	9	sizes	size	NOUN
easat-7589	60	10	(	(	PUNCT
easat-7589	60	11	multi	multi	ADJ
easat-7589	60	12	-	-	ADJ
easat-7589	60	13	k	k	NOUN
easat-7589	60	14	)	)	PUNCT
easat-7589	60	15	within	within	ADP
easat-7589	60	16	a	a	DET
easat-7589	60	17	knn	knn	NOUN
easat-7589	60	18	regression	regression	NOUN
easat-7589	60	19	framework	framework	NOUN
easat-7589	60	20	to	to	PART
easat-7589	60	21	systematically	systematically	ADV
easat-7589	60	22	construct	construct	VERB
easat-7589	60	23	robust	robust	ADJ
easat-7589	60	24	bootstrap	bootstrap	NOUN
easat-7589	60	25	-	-	PUNCT
easat-7589	60	26	based	base	VERB
easat-7589	60	27	pis	pis	NOUN
easat-7589	60	28	has	have	AUX
easat-7589	60	29	not	not	PART
easat-7589	60	30	been	be	AUX
easat-7589	60	31	previously	previously	ADV
easat-7589	60	32	explored	explore	VERB
easat-7589	60	33	.	.	PUNCT
easat-7589	61	1	figure	figure	NOUN
easat-7589	61	2	1	1	NUM
easat-7589	61	3	illustrates	illustrate	VERB
easat-7589	61	4	the	the	DET
easat-7589	61	5	regression	regression	NOUN
easat-7589	61	6	surfaces	surface	NOUN
easat-7589	61	7	generated	generate	VERB
easat-7589	61	8	by	by	ADP
easat-7589	61	9	knn	knn	PROPN
easat-7589	61	10	regression	regression	PROPN
easat-7589	61	11	applied	apply	VERB
easat-7589	61	12	to	to	ADP
easat-7589	61	13	a	a	DET
easat-7589	61	14	synthetic	synthetic	ADJ
easat-7589	61	15	dataset	dataset	NOUN
easat-7589	61	16	with	with	ADP
easat-7589	61	17	two	two	NUM
easat-7589	61	18	predictors	predictor	NOUN
easat-7589	61	19	,	,	PUNCT
easat-7589	61	20	1x	1x	NUM
easat-7589	61	21	and	and	CCONJ
easat-7589	61	22	2x	2x	NUM
easat-7589	61	23	,	,	PUNCT
easat-7589	61	24	and	and	CCONJ
easat-7589	61	25	a	a	DET
easat-7589	61	26	response	response	NOUN
easat-7589	61	27	variable	variable	NOUN
easat-7589	61	28	modeled	model	VERB
easat-7589	61	29	as	as	ADP
easat-7589	61	30	1	1	NUM
easat-7589	61	31	22sin	22sin	NOUN
easat-7589	61	32	(	(	PUNCT
easat-7589	61	33	)	)	PUNCT
easat-7589	61	34	0.5y	0.5y	NOUN
easat-7589	61	35	x	x	PUNCT
easat-7589	62	1	x	x	PUNCT
easat-7589	62	2	=	=	NOUN
easat-7589	62	3	+	+	X
easat-7589	63	1	+	+	CCONJ
easat-7589	63	2	,	,	PUNCT
easat-7589	63	3	where	where	SCONJ
easat-7589	63	4	~	~	PUNCT
easat-7589	63	5	(	(	PUNCT
easat-7589	63	6	0,1)n	0,1)n	ADV
easat-7589	63	7	.	.	PUNCT
easat-7589	64	1	the	the	DET
easat-7589	64	2	visualizations	visualization	NOUN
easat-7589	64	3	clearly	clearly	ADV
easat-7589	64	4	demonstrate	demonstrate	VERB
easat-7589	64	5	the	the	DET
easat-7589	64	6	influence	influence	NOUN
easat-7589	64	7	of	of	ADP
easat-7589	64	8	the	the	DET
easat-7589	64	9	number	number	NOUN
easat-7589	64	10	of	of	ADP
easat-7589	64	11	neighbors	neighbor	NOUN
easat-7589	64	12	(	(	PUNCT
easat-7589	64	13	𝑘	𝑘	NOUN
easat-7589	64	14	)	)	PUNCT
easat-7589	64	15	on	on	ADP
easat-7589	64	16	the	the	DET
easat-7589	64	17	regression	regression	NOUN
easat-7589	64	18	outcome	outcome	NOUN
easat-7589	64	19	.	.	PUNCT
easat-7589	65	1	with	with	ADP
easat-7589	65	2	smaller	small	ADJ
easat-7589	65	3	values	value	NOUN
easat-7589	65	4	of	of	ADP
easat-7589	65	5	𝑘	𝑘	PRON
easat-7589	65	6	(	(	PUNCT
easat-7589	65	7	e.g.	e.g.	ADV
easat-7589	65	8	,	,	PUNCT
easat-7589	65	9	𝑘	𝑘	X
easat-7589	65	10	=	=	NOUN
easat-7589	65	11	3	3	NUM
easat-7589	65	12	)	)	PUNCT
easat-7589	65	13	,	,	PUNCT
easat-7589	65	14	the	the	DET
easat-7589	65	15	regression	regression	NOUN
easat-7589	65	16	surface	surface	NOUN
easat-7589	65	17	captures	capture	VERB
easat-7589	65	18	detailed	detailed	ADJ
easat-7589	65	19	local	local	ADJ
easat-7589	65	20	variations	variation	NOUN
easat-7589	65	21	,	,	PUNCT
easat-7589	65	22	potentially	potentially	ADV
easat-7589	65	23	increasing	increase	VERB
easat-7589	65	24	prediction	prediction	NOUN
easat-7589	65	25	variance	variance	NOUN
easat-7589	65	26	.	.	PUNCT
easat-7589	66	1	conversely	conversely	ADV
easat-7589	66	2	,	,	PUNCT
easat-7589	66	3	larger	large	ADJ
easat-7589	66	4	𝑘	𝑘	X
easat-7589	66	5	(	(	PUNCT
easat-7589	66	6	e.g.	e.g.	ADV
easat-7589	66	7	,	,	PUNCT
easat-7589	66	8	𝑘	𝑘	X
easat-7589	66	9	=	=	SYM
easat-7589	66	10	15	15	NUM
easat-7589	66	11	)	)	PUNCT
easat-7589	66	12	yields	yield	VERB
easat-7589	66	13	smoother	smooth	ADJ
easat-7589	66	14	surfaces	surface	NOUN
easat-7589	66	15	,	,	PUNCT
easat-7589	66	16	effectively	effectively	ADV
easat-7589	66	17	reducing	reduce	VERB
easat-7589	66	18	variance	variance	NOUN
easat-7589	66	19	but	but	CCONJ
easat-7589	66	20	at	at	ADP
easat-7589	66	21	the	the	DET
easat-7589	66	22	expense	expense	NOUN
easat-7589	66	23	of	of	ADP
easat-7589	66	24	increased	increase	VERB
easat-7589	66	25	bias	bias	NOUN
easat-7589	66	26	.	.	PUNCT
easat-7589	67	1	this	this	DET
easat-7589	67	2	trade2752	trade2752	PROPN
easat-7589	67	3	edelweiss	edelweiss	PROPN
easat-7589	67	4	applied	apply	VERB
easat-7589	67	5	science	science	NOUN
easat-7589	67	6	and	and	CCONJ
easat-7589	67	7	technology	technology	NOUN
easat-7589	67	8	issn	issn	PROPN
easat-7589	67	9	:	:	PUNCT
easat-7589	67	10	2576	2576	NUM
easat-7589	67	11	-	-	SYM
easat-7589	67	12	8484	8484	NUM
easat-7589	67	13	vol	vol	NOUN
easat-7589	67	14	.	.	PROPN
easat-7589	68	1	9	9	NUM
easat-7589	68	2	,	,	PUNCT
easat-7589	68	3	no	no	INTJ
easat-7589	68	4	.	.	NOUN
easat-7589	68	5	5	5	NUM
easat-7589	68	6	:	:	PUNCT
easat-7589	68	7	2750	2750	NUM
easat-7589	68	8	-	-	SYM
easat-7589	68	9	2764	2764	NUM
easat-7589	68	10	,	,	PUNCT
easat-7589	68	11	2025	2025	NUM
easat-7589	68	12	doi	doi	NOUN
easat-7589	68	13	:	:	PUNCT
easat-7589	68	14	10.55214/25768484.v9i5.7589	10.55214/25768484.v9i5.7589	NUM
easat-7589	68	15	©	©	PROPN
easat-7589	68	16	2025	2025	NUM
easat-7589	68	17	by	by	ADP
easat-7589	68	18	the	the	DET
easat-7589	68	19	authors	author	NOUN
easat-7589	68	20	;	;	PUNCT
easat-7589	68	21	licensee	licensee	PROPN
easat-7589	68	22	learning	learning	NOUN
easat-7589	68	23	gate	gate	VERB
easat-7589	68	24	off	off	ADP
easat-7589	68	25	highlights	highlight	NOUN
easat-7589	68	26	the	the	DET
easat-7589	68	27	complexity	complexity	NOUN
easat-7589	68	28	inherent	inherent	ADJ
easat-7589	68	29	in	in	ADP
easat-7589	68	30	selecting	select	VERB
easat-7589	68	31	an	an	DET
easat-7589	68	32	optimal	optimal	ADJ
easat-7589	68	33	𝑘	𝑘	NOUN
easat-7589	68	34	,	,	PUNCT
easat-7589	68	35	emphasizing	emphasize	VERB
easat-7589	68	36	the	the	DET
easat-7589	68	37	advantage	advantage	NOUN
easat-7589	68	38	of	of	ADP
easat-7589	68	39	adopting	adopt	VERB
easat-7589	68	40	a	a	DET
easat-7589	68	41	multi𝑘	multi𝑘	NOUN
easat-7589	68	42	ensemble	ensemble	ADJ
easat-7589	68	43	approach	approach	NOUN
easat-7589	68	44	.	.	PUNCT
easat-7589	69	1	these	these	DET
easat-7589	69	2	patterns	pattern	NOUN
easat-7589	69	3	validate	validate	VERB
easat-7589	69	4	the	the	DET
easat-7589	69	5	rationale	rationale	NOUN
easat-7589	69	6	for	for	ADP
easat-7589	69	7	employing	employ	VERB
easat-7589	69	8	bootstrap	bootstrap	NOUN
easat-7589	69	9	-	-	PUNCT
easat-7589	69	10	based	base	VERB
easat-7589	69	11	prediction	prediction	NOUN
easat-7589	69	12	intervals	interval	NOUN
easat-7589	69	13	,	,	PUNCT
easat-7589	69	14	as	as	SCONJ
easat-7589	69	15	combining	combine	VERB
easat-7589	69	16	predictions	prediction	NOUN
easat-7589	69	17	from	from	ADP
easat-7589	69	18	multiple	multiple	ADJ
easat-7589	69	19	𝑘-values	𝑘-value	NOUN
easat-7589	69	20	can	can	AUX
easat-7589	69	21	effectively	effectively	ADV
easat-7589	69	22	balance	balance	VERB
easat-7589	69	23	predictive	predictive	ADJ
easat-7589	69	24	accuracy	accuracy	NOUN
easat-7589	69	25	,	,	PUNCT
easat-7589	69	26	interpretability	interpretability	NOUN
easat-7589	69	27	,	,	PUNCT
easat-7589	69	28	and	and	CCONJ
easat-7589	69	29	uncertainty	uncertainty	NOUN
easat-7589	69	30	quantification	quantification	NOUN
easat-7589	69	31	.	.	PUNCT
easat-7589	70	1	figure	figure	NOUN
easat-7589	70	2	1	1	NUM
easat-7589	70	3	.	.	PUNCT
easat-7589	71	1	knn	knn	PROPN
easat-7589	71	2	regression	regression	PROPN
easat-7589	71	3	surfaces	surface	NOUN
easat-7589	71	4	for	for	ADP
easat-7589	71	5	synthetic	synthetic	ADJ
easat-7589	71	6	data	datum	NOUN
easat-7589	71	7	at	at	ADP
easat-7589	71	8	different	different	ADJ
easat-7589	71	9	neighborhood	neighborhood	NOUN
easat-7589	71	10	sizes	size	NOUN
easat-7589	71	11	.	.	PUNCT
easat-7589	72	1	2	2	X
easat-7589	72	2	.	.	X
easat-7589	72	3	k	k	X
easat-7589	72	4	-	-	PUNCT
easat-7589	72	5	nearest	near	ADJ
easat-7589	72	6	neighbors	neighbor	NOUN
easat-7589	72	7	(	(	PUNCT
easat-7589	72	8	knn	knn	PROPN
easat-7589	72	9	)	)	PUNCT
easat-7589	72	10	regression	regression	NOUN
easat-7589	72	11	knn	knn	PROPN
easat-7589	72	12	regression	regression	PROPN
easat-7589	72	13	is	be	AUX
easat-7589	72	14	a	a	DET
easat-7589	72	15	non	non	ADJ
easat-7589	72	16	-	-	ADJ
easat-7589	72	17	parametric	parametric	ADJ
easat-7589	72	18	,	,	PUNCT
easat-7589	72	19	data	data	NOUN
easat-7589	72	20	-	-	PUNCT
easat-7589	72	21	driven	drive	VERB
easat-7589	72	22	algorithm	algorithm	NOUN
easat-7589	72	23	extensively	extensively	ADV
easat-7589	72	24	used	use	VERB
easat-7589	72	25	for	for	ADP
easat-7589	72	26	predicting	predict	VERB
easat-7589	72	27	continuous	continuous	ADJ
easat-7589	72	28	variables	variable	NOUN
easat-7589	72	29	.	.	PUNCT
easat-7589	73	1	unlike	unlike	ADP
easat-7589	73	2	parametric	parametric	ADJ
easat-7589	73	3	models	model	NOUN
easat-7589	73	4	that	that	PRON
easat-7589	73	5	assume	assume	AUX
easat-7589	73	6	predefined	predefine	VERB
easat-7589	73	7	functional	functional	ADJ
easat-7589	73	8	relationships	relationship	NOUN
easat-7589	73	9	,	,	PUNCT
easat-7589	73	10	knn	knn	PROPN
easat-7589	73	11	relies	rely	VERB
easat-7589	73	12	solely	solely	ADV
easat-7589	73	13	on	on	ADP
easat-7589	73	14	similarity	similarity	NOUN
easat-7589	73	15	among	among	ADP
easat-7589	73	16	data	datum	NOUN
easat-7589	73	17	points	point	NOUN
easat-7589	73	18	,	,	PUNCT
easat-7589	73	19	generating	generate	VERB
easat-7589	73	20	predictions	prediction	NOUN
easat-7589	73	21	by	by	ADP
easat-7589	73	22	averaging	average	VERB
easat-7589	73	23	the	the	DET
easat-7589	73	24	target	target	NOUN
easat-7589	73	25	values	value	NOUN
easat-7589	73	26	of	of	ADP
easat-7589	73	27	the	the	DET
easat-7589	73	28	k	k	PROPN
easat-7589	73	29	nearest	near	ADJ
easat-7589	73	30	neighbors	neighbor	NOUN
easat-7589	73	31	within	within	ADP
easat-7589	73	32	the	the	DET
easat-7589	73	33	training	training	NOUN
easat-7589	73	34	dataset	dataset	NOUN
easat-7589	73	35	[	[	X
easat-7589	73	36	17	17	NUM
easat-7589	73	37	]	]	PUNCT
easat-7589	73	38	.	.	PUNCT
easat-7589	74	1	this	this	DET
easat-7589	74	2	straightforward	straightforward	ADJ
easat-7589	74	3	approach	approach	NOUN
easat-7589	74	4	,	,	PUNCT
easat-7589	74	5	combined	combine	VERB
easat-7589	74	6	with	with	ADP
easat-7589	74	7	its	its	PRON
easat-7589	74	8	ability	ability	NOUN
easat-7589	74	9	to	to	PART
easat-7589	74	10	effectively	effectively	ADV
easat-7589	74	11	model	model	VERB
easat-7589	74	12	complex	complex	ADJ
easat-7589	74	13	,	,	PUNCT
easat-7589	74	14	nonlinear	nonlinear	ADJ
easat-7589	74	15	relationships	relationship	NOUN
easat-7589	74	16	,	,	PUNCT
easat-7589	74	17	has	have	AUX
easat-7589	74	18	made	make	VERB
easat-7589	74	19	knn	knn	NOUN
easat-7589	74	20	popular	popular	ADJ
easat-7589	74	21	across	across	ADP
easat-7589	74	22	diverse	diverse	ADJ
easat-7589	74	23	fields	field	NOUN
easat-7589	74	24	such	such	ADJ
easat-7589	74	25	as	as	ADP
easat-7589	74	26	finance	finance	NOUN
easat-7589	74	27	,	,	PUNCT
easat-7589	74	28	healthcare	healthcare	PROPN
easat-7589	74	29	,	,	PUNCT
easat-7589	74	30	and	and	CCONJ
easat-7589	74	31	environmental	environmental	ADJ
easat-7589	74	32	science	science	NOUN
easat-7589	74	33	.	.	PUNCT
easat-7589	75	1	the	the	DET
easat-7589	75	2	theoretical	theoretical	ADJ
easat-7589	75	3	foundation	foundation	NOUN
easat-7589	75	4	of	of	ADP
easat-7589	75	5	knn	knn	PROPN
easat-7589	75	6	regression	regression	PROPN
easat-7589	75	7	is	be	AUX
easat-7589	75	8	succinctly	succinctly	ADV
easat-7589	75	9	captured	capture	VERB
easat-7589	75	10	by	by	ADP
easat-7589	75	11	the	the	DET
easat-7589	75	12	formula	formula	NOUN
easat-7589	75	13	:	:	PUNCT
easat-7589	76	1	=	=	SYM
easat-7589	76	2	=	=	SYM
easat-7589	76	3			NUM
easat-7589	76	4	1	1	NUM
easat-7589	76	5	1	1	NUM
easat-7589	76	6	ˆ	ˆ	NOUN
easat-7589	76	7	(	(	PUNCT
easat-7589	76	8	)	)	PUNCT
easat-7589	76	9	k	k	PROPN
easat-7589	77	1	i	i	PRON
easat-7589	77	2	i	i	INTJ
easat-7589	77	3	y	y	VERB
easat-7589	77	4	x	x	VERB
easat-7589	77	5	y	y	PROPN
easat-7589	77	6	k	k	PROPN
easat-7589	77	7	,	,	PUNCT
easat-7589	77	8	where	where	SCONJ
easat-7589	77	9	i	i	PRON
easat-7589	77	10	y	y	PROPN
easat-7589	77	11	denotes	denote	VERB
easat-7589	77	12	the	the	DET
easat-7589	77	13	target	target	NOUN
easat-7589	77	14	values	value	NOUN
easat-7589	77	15	corresponding	correspond	VERB
easat-7589	77	16	to	to	ADP
easat-7589	77	17	the	the	DET
easat-7589	77	18	k	k	PROPN
easat-7589	77	19	nearest	near	ADJ
easat-7589	77	20	neighbors	neighbor	NOUN
easat-7589	77	21	of	of	ADP
easat-7589	77	22	the	the	DET
easat-7589	77	23	query	query	NOUN
easat-7589	77	24	point	point	NOUN
easat-7589	77	25	x	x	PUNCT
easat-7589	78	1	[	[	X
easat-7589	78	2	28	28	NUM
easat-7589	78	3	]	]	PUNCT
easat-7589	78	4	.	.	PUNCT
easat-7589	79	1	selecting	select	VERB
easat-7589	79	2	an	an	DET
easat-7589	79	3	optimal	optimal	ADJ
easat-7589	79	4	k	k	PROPN
easat-7589	79	5	significantly	significantly	ADV
easat-7589	79	6	impacts	impact	VERB
easat-7589	79	7	the	the	DET
easat-7589	79	8	algorithm	algorithm	NOUN
easat-7589	79	9	’s	’s	PART
easat-7589	79	10	performance	performance	NOUN
easat-7589	79	11	by	by	ADP
easat-7589	79	12	affecting	affect	VERB
easat-7589	79	13	the	the	DET
easat-7589	79	14	biasvariance	biasvariance	NOUN
easat-7589	79	15	trade	trade	NOUN
easat-7589	79	16	-	-	PUNCT
easat-7589	79	17	off	off	NOUN
easat-7589	79	18	.	.	PUNCT
easat-7589	80	1	smaller	small	ADJ
easat-7589	80	2	k	k	PROPN
easat-7589	80	3	values	value	NOUN
easat-7589	80	4	capture	capture	VERB
easat-7589	80	5	intricate	intricate	ADJ
easat-7589	80	6	local	local	ADJ
easat-7589	80	7	patterns	pattern	NOUN
easat-7589	80	8	,	,	PUNCT
easat-7589	80	9	reducing	reduce	VERB
easat-7589	80	10	bias	bias	NOUN
easat-7589	80	11	but	but	CCONJ
easat-7589	80	12	increasing	increase	VERB
easat-7589	80	13	variance	variance	NOUN
easat-7589	80	14	and	and	CCONJ
easat-7589	80	15	sensitivity	sensitivity	NOUN
easat-7589	80	16	to	to	PART
easat-7589	80	17	noise	noise	VERB
easat-7589	80	18	.	.	PUNCT
easat-7589	81	1	conversely	conversely	ADV
easat-7589	81	2	,	,	PUNCT
easat-7589	81	3	larger	large	ADJ
easat-7589	81	4	k	k	PROPN
easat-7589	81	5	smoothes	smooth	VERB
easat-7589	81	6	variations	variation	NOUN
easat-7589	81	7	,	,	PUNCT
easat-7589	81	8	increasing	increase	VERB
easat-7589	81	9	bias	bias	NOUN
easat-7589	81	10	but	but	CCONJ
easat-7589	81	11	effectively	effectively	ADV
easat-7589	81	12	reducing	reduce	VERB
easat-7589	81	13	variance	variance	NOUN
easat-7589	81	14	.	.	PUNCT
easat-7589	82	1	therefore	therefore	ADV
easat-7589	82	2	,	,	PUNCT
easat-7589	82	3	selecting	select	VERB
easat-7589	82	4	an	an	DET
easat-7589	82	5	optimal	optimal	ADJ
easat-7589	82	6	k	k	NOUN
easat-7589	82	7	is	be	AUX
easat-7589	82	8	critical	critical	ADJ
easat-7589	82	9	for	for	ADP
easat-7589	82	10	robust	robust	ADJ
easat-7589	82	11	predictive	predictive	ADJ
easat-7589	82	12	performance	performance	NOUN
easat-7589	82	13	.	.	PUNCT
easat-7589	83	1	the	the	DET
easat-7589	83	2	accuracy	accuracy	NOUN
easat-7589	83	3	of	of	ADP
easat-7589	83	4	knn	knn	PROPN
easat-7589	83	5	regression	regression	PROPN
easat-7589	83	6	also	also	ADV
easat-7589	83	7	heavily	heavily	ADV
easat-7589	83	8	depends	depend	VERB
easat-7589	83	9	on	on	ADP
easat-7589	83	10	the	the	DET
easat-7589	83	11	choice	choice	NOUN
easat-7589	83	12	of	of	ADP
easat-7589	83	13	distance	distance	NOUN
easat-7589	83	14	metric	metric	ADJ
easat-7589	83	15	utilized	utilize	VERB
easat-7589	83	16	to	to	PART
easat-7589	83	17	determine	determine	VERB
easat-7589	83	18	the	the	DET
easat-7589	83	19	proximity	proximity	NOUN
easat-7589	83	20	of	of	ADP
easat-7589	83	21	points	point	NOUN
easat-7589	83	22	.	.	PUNCT
easat-7589	84	1	commonly	commonly	ADV
easat-7589	84	2	employed	employ	VERB
easat-7589	84	3	metrics	metric	NOUN
easat-7589	84	4	include	include	VERB
easat-7589	84	5	the	the	DET
easat-7589	84	6	euclidean	euclidean	ADJ
easat-7589	84	7	distance	distance	NOUN
easat-7589	84	8	:	:	PUNCT
easat-7589	84	9	=	=	SYM
easat-7589	84	10	=	=	SYM
easat-7589	84	11	−	−	NUM
easat-7589	84	12	2	2	NUM
easat-7589	84	13	1	1	NUM
easat-7589	84	14	(	(	PUNCT
easat-7589	84	15	,	,	PUNCT
easat-7589	84	16	)	)	PUNCT
easat-7589	84	17	(	(	PUNCT
easat-7589	84	18	)	)	PUNCT
easat-7589	85	1	p	p	X
easat-7589	86	1	i	i	PRON
easat-7589	86	2	j	j	PROPN
easat-7589	87	1	ij	ij	INTJ
easat-7589	87	2	j	j	PROPN
easat-7589	87	3	d	d	NOUN
easat-7589	87	4	x	x	PUNCT
easat-7589	87	5	x	x	PUNCT
easat-7589	87	6	x	x	SYM
easat-7589	87	7	x	x	X
easat-7589	87	8	,	,	PUNCT
easat-7589	87	9	the	the	DET
easat-7589	87	10	manhattan	manhattan	PROPN
easat-7589	87	11	distance	distance	NOUN
easat-7589	87	12	:	:	PUNCT
easat-7589	87	13	=	=	SYM
easat-7589	87	14	=	=	SYM
easat-7589	87	15	−	−	NOUN
easat-7589	87	16	1	1	NUM
easat-7589	87	17	(	(	PUNCT
easat-7589	87	18	,	,	PUNCT
easat-7589	87	19	)	)	PUNCT
easat-7589	88	1	p	p	X
easat-7589	89	1	i	i	PRON
easat-7589	89	2	j	j	PROPN
easat-7589	90	1	ij	ij	INTJ
easat-7589	90	2	j	j	PROPN
easat-7589	90	3	d	d	NOUN
easat-7589	90	4	x	x	PUNCT
easat-7589	90	5	x	x	PUNCT
easat-7589	90	6	x	x	SYM
easat-7589	90	7	x	x	X
easat-7589	90	8	,	,	PUNCT
easat-7589	90	9	and	and	CCONJ
easat-7589	90	10	the	the	DET
easat-7589	90	11	minkowski	minkowski	ADJ
easat-7589	90	12	distance	distance	NOUN
easat-7589	90	13	:	:	PUNCT
easat-7589	90	14	2753	2753	NUM
easat-7589	90	15	edelweiss	edelweiss	PROPN
easat-7589	90	16	applied	apply	VERB
easat-7589	90	17	science	science	NOUN
easat-7589	90	18	and	and	CCONJ
easat-7589	90	19	technology	technology	NOUN
easat-7589	90	20	issn	issn	PROPN
easat-7589	90	21	:	:	PUNCT
easat-7589	90	22	2576	2576	NUM
easat-7589	90	23	-	-	SYM
easat-7589	90	24	8484	8484	NUM
easat-7589	90	25	vol	vol	NOUN
easat-7589	90	26	.	.	PROPN
easat-7589	91	1	9	9	NUM
easat-7589	91	2	,	,	PUNCT
easat-7589	91	3	no	no	INTJ
easat-7589	91	4	.	.	NOUN
easat-7589	91	5	5	5	NUM
easat-7589	91	6	:	:	PUNCT
easat-7589	91	7	2750	2750	NUM
easat-7589	91	8	-	-	SYM
easat-7589	91	9	2764	2764	NUM
easat-7589	91	10	,	,	PUNCT
easat-7589	91	11	2025	2025	NUM
easat-7589	91	12	doi	doi	NOUN
easat-7589	91	13	:	:	PUNCT
easat-7589	91	14	10.55214/25768484.v9i5.7589	10.55214/25768484.v9i5.7589	NUM
easat-7589	91	15	©	©	PROPN
easat-7589	91	16	2025	2025	NUM
easat-7589	91	17	by	by	ADP
easat-7589	91	18	the	the	DET
easat-7589	91	19	authors	author	NOUN
easat-7589	91	20	;	;	PUNCT
easat-7589	92	1	licensee	licensee	NOUN
easat-7589	92	2	learning	learning	NOUN
easat-7589	92	3	gate	gate	NOUN
easat-7589	93	1	=	=	PROPN
easat-7589	93	2			NOUN
easat-7589	93	3			NOUN
easat-7589	93	4	=	=	PUNCT
easat-7589	94	1	−	−	PROPN
easat-7589	94	2			PROPN
easat-7589	95	1			PROPN
easat-7589	95	2			NOUN
easat-7589	95	3			X
easat-7589	95	4	1	1	NUM
easat-7589	95	5	1/	1/	NUM
easat-7589	95	6	(	(	PUNCT
easat-7589	95	7	,	,	PUNCT
easat-7589	95	8	)	)	PUNCT
easat-7589	95	9	q	q	PUNCT
easat-7589	96	1	q	q	PUNCT
easat-7589	96	2	j	j	X
easat-7589	97	1	p	p	X
easat-7589	97	2	i	i	PRON
easat-7589	97	3	ij	ij	INTJ
easat-7589	97	4	j	j	PROPN
easat-7589	98	1	d	d	NOUN
easat-7589	98	2	x	x	PUNCT
easat-7589	98	3	x	x	PUNCT
easat-7589	98	4	x	x	PUNCT
easat-7589	98	5	x	x	X
easat-7589	98	6	,	,	PUNCT
easat-7589	98	7	where	where	SCONJ
easat-7589	98	8	p	p	NOUN
easat-7589	98	9	represents	represent	VERB
easat-7589	98	10	the	the	DET
easat-7589	98	11	number	number	NOUN
easat-7589	98	12	of	of	ADP
easat-7589	98	13	features	feature	NOUN
easat-7589	98	14	,	,	PUNCT
easat-7589	98	15	and	and	CCONJ
easat-7589	98	16	q	q	NOUN
easat-7589	98	17	determines	determine	VERB
easat-7589	98	18	the	the	DET
easat-7589	98	19	type	type	NOUN
easat-7589	98	20	of	of	ADP
easat-7589	98	21	distance	distance	NOUN
easat-7589	98	22	measure	measure	NOUN
easat-7589	98	23	(	(	PUNCT
easat-7589	98	24	q	q	NOUN
easat-7589	98	25	=	=	SYM
easat-7589	98	26	2	2	NUM
easat-7589	98	27	corresponds	correspond	NOUN
easat-7589	98	28	to	to	ADP
easat-7589	98	29	euclidean	euclidean	ADJ
easat-7589	98	30	distance	distance	NOUN
easat-7589	98	31	,	,	PUNCT
easat-7589	98	32	while	while	SCONJ
easat-7589	98	33	q	q	NOUN
easat-7589	98	34	=	=	SYM
easat-7589	98	35	1	1	NUM
easat-7589	98	36	corresponds	correspond	NOUN
easat-7589	98	37	to	to	ADP
easat-7589	98	38	manhattan	manhattan	PROPN
easat-7589	98	39	distance	distance	NOUN
easat-7589	98	40	)	)	PUNCT
easat-7589	99	1	[	[	X
easat-7589	99	2	29	29	NUM
easat-7589	99	3	]	]	PUNCT
easat-7589	99	4	.	.	PUNCT
easat-7589	100	1	recent	recent	ADJ
easat-7589	100	2	advancements	advancement	NOUN
easat-7589	100	3	in	in	ADP
easat-7589	100	4	knn	knn	PROPN
easat-7589	100	5	regression	regression	NOUN
easat-7589	100	6	focus	focus	NOUN
easat-7589	100	7	on	on	ADP
easat-7589	100	8	enhancing	enhance	VERB
easat-7589	100	9	its	its	PRON
easat-7589	100	10	adaptability	adaptability	NOUN
easat-7589	100	11	and	and	CCONJ
easat-7589	100	12	predictive	predictive	ADJ
easat-7589	100	13	power	power	NOUN
easat-7589	100	14	.	.	PUNCT
easat-7589	101	1	adaptive	adaptive	PROPN
easat-7589	101	2	knn	knn	PROPN
easat-7589	101	3	dynamically	dynamically	ADV
easat-7589	101	4	adjusts	adjust	VERB
easat-7589	101	5	the	the	DET
easat-7589	101	6	neighborhood	neighborhood	NOUN
easat-7589	101	7	size	size	NOUN
easat-7589	101	8	k	k	PROPN
easat-7589	101	9	based	base	VERB
easat-7589	101	10	on	on	ADP
easat-7589	101	11	local	local	ADJ
easat-7589	101	12	data	datum	NOUN
easat-7589	101	13	characteristics	characteristic	NOUN
easat-7589	101	14	,	,	PUNCT
easat-7589	101	15	optimizing	optimize	VERB
easat-7589	101	16	predictive	predictive	ADJ
easat-7589	101	17	performance	performance	NOUN
easat-7589	101	18	for	for	ADP
easat-7589	101	19	individual	individual	ADJ
easat-7589	101	20	query	query	NOUN
easat-7589	101	21	points	point	NOUN
easat-7589	101	22	.	.	PUNCT
easat-7589	102	1	weighted	weighted	PROPN
easat-7589	102	2	knn	knn	PROPN
easat-7589	102	3	assigns	assign	VERB
easat-7589	102	4	greater	great	ADJ
easat-7589	102	5	influence	influence	NOUN
easat-7589	102	6	to	to	ADP
easat-7589	102	7	closer	close	ADJ
easat-7589	102	8	neighbors	neighbor	NOUN
easat-7589	102	9	by	by	ADP
easat-7589	102	10	applying	apply	VERB
easat-7589	102	11	weights	weight	NOUN
easat-7589	102	12	based	base	VERB
easat-7589	102	13	on	on	ADP
easat-7589	102	14	distance	distance	NOUN
easat-7589	102	15	from	from	ADP
easat-7589	102	16	the	the	DET
easat-7589	102	17	query	query	NOUN
easat-7589	102	18	point	point	NOUN
easat-7589	102	19	.	.	PUNCT
easat-7589	103	1	the	the	DET
easat-7589	103	2	weighted	weight	VERB
easat-7589	103	3	prediction	prediction	NOUN
easat-7589	103	4	formula	formula	NOUN
easat-7589	103	5	is	be	AUX
easat-7589	103	6	:	:	PUNCT
easat-7589	103	7	=	=	SYM
easat-7589	103	8	=	=	SYM
easat-7589	104	1	=	=	SYM
easat-7589	104	2			X
easat-7589	104	3			X
easat-7589	104	4	1	1	NUM
easat-7589	104	5	1	1	NUM
easat-7589	104	6	ˆ	ˆ	NOUN
easat-7589	104	7	(	(	PUNCT
easat-7589	104	8	)	)	PUNCT
easat-7589	105	1	k	k	PROPN
easat-7589	106	1	i	i	PRON
easat-7589	107	1	i	i	PRON
easat-7589	108	1	i	i	VERB
easat-7589	108	2	k	k	VERB
easat-7589	109	1	i	i	PRON
easat-7589	109	2	i	i	INTJ
easat-7589	110	1	w	w	VERB
easat-7589	110	2	y	y	VERB
easat-7589	110	3	y	y	PROPN
easat-7589	110	4	x	x	SYM
easat-7589	110	5	w	w	NOUN
easat-7589	110	6	,	,	PUNCT
easat-7589	110	7	where	where	SCONJ
easat-7589	110	8	the	the	DET
easat-7589	110	9	weights	weight	NOUN
easat-7589	110	10	i	i	PRON
easat-7589	110	11	w	w	VERB
easat-7589	110	12	are	be	AUX
easat-7589	110	13	typically	typically	ADV
easat-7589	110	14	defined	define	VERB
easat-7589	110	15	as	as	ADP
easat-7589	110	16	(	(	PUNCT
easat-7589	110	17	)	)	PUNCT
easat-7589	110	18	2	2	NUM
easat-7589	110	19	1	1	NUM
easat-7589	110	20	(	(	PUNCT
easat-7589	110	21	,	,	PUNCT
easat-7589	110	22	)	)	PUNCT
easat-7589	111	1	i	i	PRON
easat-7589	112	1	d	d	X
easat-7589	112	2	x	x	X
easat-7589	112	3	x	x	X
easat-7589	112	4	.	.	PUNCT
easat-7589	113	1	kernel	kernel	PROPN
easat-7589	113	2	knn	knn	PROPN
easat-7589	113	3	further	far	ADV
easat-7589	113	4	enhances	enhance	VERB
easat-7589	113	5	predictive	predictive	ADJ
easat-7589	113	6	accuracy	accuracy	NOUN
easat-7589	113	7	by	by	ADP
easat-7589	113	8	using	use	VERB
easat-7589	113	9	kernel	kernel	PROPN
easat-7589	113	10	functions	function	NOUN
easat-7589	113	11	to	to	ADP
easat-7589	113	12	weight	weight	NOUN
easat-7589	113	13	neighbor	neighbor	NOUN
easat-7589	113	14	contributions	contribution	NOUN
easat-7589	113	15	,	,	PUNCT
easat-7589	113	16	enabling	enable	VERB
easat-7589	113	17	improved	improved	ADJ
easat-7589	113	18	modeling	modeling	NOUN
easat-7589	113	19	of	of	ADP
easat-7589	113	20	non	non	ADJ
easat-7589	113	21	-	-	ADJ
easat-7589	113	22	linear	linear	ADJ
easat-7589	113	23	relationships	relationship	NOUN
easat-7589	113	24	.	.	PUNCT
easat-7589	114	1	local	local	ADJ
easat-7589	114	2	linear	linear	PROPN
easat-7589	114	3	regression	regression	NOUN
easat-7589	114	4	integrates	integrate	NOUN
easat-7589	114	5	linear	linear	ADJ
easat-7589	114	6	modeling	modeling	NOUN
easat-7589	114	7	within	within	ADP
easat-7589	114	8	the	the	DET
easat-7589	114	9	neighborhood	neighborhood	NOUN
easat-7589	114	10	defined	define	VERB
easat-7589	114	11	by	by	ADP
easat-7589	114	12	the	the	DET
easat-7589	114	13	k	k	PROPN
easat-7589	114	14	nearest	near	ADJ
easat-7589	114	15	neighbors	neighbor	NOUN
easat-7589	114	16	,	,	PUNCT
easat-7589	114	17	thus	thus	ADV
easat-7589	114	18	improving	improve	VERB
easat-7589	114	19	local	local	ADJ
easat-7589	114	20	prediction	prediction	NOUN
easat-7589	114	21	accuracy	accuracy	NOUN
easat-7589	114	22	.	.	PUNCT
easat-7589	115	1	additionally	additionally	ADV
easat-7589	115	2	,	,	PUNCT
easat-7589	115	3	random	random	ADJ
easat-7589	115	4	knn	knn	NOUN
easat-7589	115	5	methods	method	NOUN
easat-7589	115	6	introduce	introduce	VERB
easat-7589	115	7	randomness	randomness	NOUN
easat-7589	115	8	in	in	ADP
easat-7589	115	9	feature	feature	NOUN
easat-7589	115	10	selection	selection	NOUN
easat-7589	115	11	and	and	CCONJ
easat-7589	115	12	distance	distance	NOUN
easat-7589	115	13	calculations	calculation	NOUN
easat-7589	115	14	to	to	PART
easat-7589	115	15	enhance	enhance	VERB
easat-7589	115	16	robustness	robustness	NOUN
easat-7589	115	17	and	and	CCONJ
easat-7589	115	18	computational	computational	ADJ
easat-7589	115	19	efficiency	efficiency	NOUN
easat-7589	115	20	.	.	PUNCT
easat-7589	116	1	ensemble	ensemble	ADJ
easat-7589	116	2	knn	knn	PROPN
easat-7589	116	3	combines	combine	VERB
easat-7589	116	4	predictions	prediction	NOUN
easat-7589	116	5	from	from	ADP
easat-7589	116	6	multiple	multiple	ADJ
easat-7589	116	7	knn	knn	PROPN
easat-7589	116	8	models	model	NOUN
easat-7589	116	9	,	,	PUNCT
easat-7589	116	10	each	each	PRON
easat-7589	116	11	employing	employ	VERB
easat-7589	116	12	different	different	ADJ
easat-7589	116	13	values	value	NOUN
easat-7589	116	14	of	of	ADP
easat-7589	116	15	k	k	PROPN
easat-7589	116	16	or	or	CCONJ
easat-7589	116	17	distance	distance	NOUN
easat-7589	116	18	metrics	metric	NOUN
easat-7589	116	19	,	,	PUNCT
easat-7589	116	20	thereby	thereby	ADV
easat-7589	116	21	creating	create	VERB
easat-7589	116	22	a	a	DET
easat-7589	116	23	more	more	ADV
easat-7589	116	24	stable	stable	ADJ
easat-7589	116	25	and	and	CCONJ
easat-7589	116	26	reliable	reliable	ADJ
easat-7589	116	27	predictive	predictive	ADJ
easat-7589	116	28	model	model	NOUN
easat-7589	116	29	[	[	X
easat-7589	116	30	30	30	NUM
easat-7589	116	31	]	]	PUNCT
easat-7589	116	32	.	.	PUNCT
easat-7589	117	1	theoretical	theoretical	ADJ
easat-7589	117	2	guarantees	guarantee	NOUN
easat-7589	117	3	underpin	underpin	VERB
easat-7589	117	4	the	the	DET
easat-7589	117	5	reliability	reliability	NOUN
easat-7589	117	6	of	of	ADP
easat-7589	117	7	knn	knn	PROPN
easat-7589	117	8	regression	regression	PROPN
easat-7589	117	9	under	under	ADP
easat-7589	117	10	specific	specific	ADJ
easat-7589	117	11	conditions	condition	NOUN
easat-7589	117	12	.	.	PUNCT
easat-7589	118	1	specifically	specifically	ADV
easat-7589	118	2	,	,	PUNCT
easat-7589	118	3	as	as	SCONJ
easat-7589	118	4	the	the	DET
easat-7589	118	5	sample	sample	NOUN
easat-7589	118	6	size	size	NOUN
easat-7589	118	7	n	n	PRON
easat-7589	118	8	grows	grow	VERB
easat-7589	118	9	toward	toward	ADP
easat-7589	118	10	infinity	infinity	NOUN
easat-7589	118	11	and	and	CCONJ
easat-7589	118	12	the	the	DET
easat-7589	118	13	neighborhood	neighborhood	NOUN
easat-7589	118	14	size	size	NOUN
easat-7589	118	15	k	k	NOUN
easat-7589	118	16	increases	increase	VERB
easat-7589	118	17	in	in	ADP
easat-7589	118	18	such	such	DET
easat-7589	118	19	a	a	DET
easat-7589	118	20	manner	manner	NOUN
easat-7589	118	21	that	that	SCONJ
easat-7589	118	22	the	the	DET
easat-7589	118	23	ratio	ratio	NOUN
easat-7589	118	24	k	k	PROPN
easat-7589	118	25	/	/	SYM
easat-7589	118	26	n	n	PROPN
easat-7589	118	27	→	→	SYM
easat-7589	118	28	0	0	NUM
easat-7589	118	29	,	,	PUNCT
easat-7589	118	30	the	the	DET
easat-7589	118	31	knn	knn	PROPN
easat-7589	118	32	estimator	estimator	NOUN
easat-7589	118	33	converges	converge	VERB
easat-7589	118	34	to	to	ADP
easat-7589	118	35	the	the	DET
easat-7589	118	36	true	true	ADJ
easat-7589	118	37	regression	regression	NOUN
easat-7589	118	38	function	function	NOUN
easat-7589	118	39	.	.	PUNCT
easat-7589	119	1	under	under	ADP
easat-7589	119	2	these	these	DET
easat-7589	119	3	conditions	condition	NOUN
easat-7589	119	4	,	,	PUNCT
easat-7589	119	5	the	the	DET
easat-7589	119	6	asymptotic	asymptotic	ADJ
easat-7589	119	7	mean	mean	NOUN
easat-7589	119	8	squared	square	VERB
easat-7589	119	9	error	error	NOUN
easat-7589	119	10	(	(	PUNCT
easat-7589	119	11	mse	mse	NOUN
easat-7589	119	12	)	)	PUNCT
easat-7589	119	13	for	for	ADP
easat-7589	119	14	knn	knn	PROPN
easat-7589	119	15	regression	regression	NOUN
easat-7589	119	16	at	at	ADP
easat-7589	119	17	a	a	DET
easat-7589	119	18	query	query	NOUN
easat-7589	119	19	point	point	NOUN
easat-7589	119	20	xxx	xxx	NOUN
easat-7589	119	21	can	can	AUX
easat-7589	119	22	be	be	AUX
easat-7589	119	23	decomposed	decompose	VERB
easat-7589	119	24	into	into	ADP
easat-7589	119	25	its	its	PRON
easat-7589	119	26	bias	bias	NOUN
easat-7589	119	27	and	and	CCONJ
easat-7589	119	28	variance	variance	NOUN
easat-7589	119	29	components	component	NOUN
easat-7589	119	30	as	as	SCONJ
easat-7589	119	31	follows	follow	VERB
easat-7589	119	32	:	:	PUNCT
easat-7589	119	33			NOUN
easat-7589	119	34			NOUN
easat-7589	119	35			PUNCT
easat-7589	119	36	+	+	ADV
easat-7589	119	37			PROPN
easat-7589	119	38			PRON
easat-7589	119	39			PROPN
easat-7589	119	40			NOUN
easat-7589	119	41	4/	4/	NUM
easat-7589	119	42	1	1	NUM
easat-7589	119	43	(	(	PUNCT
easat-7589	119	44	)	)	PUNCT
easat-7589	119	45	(	(	PUNCT
easat-7589	119	46	)	)	PUNCT
easat-7589	119	47	(	(	PUNCT
easat-7589	119	48	)	)	PUNCT
easat-7589	119	49	d	d	X
easat-7589	119	50	k	k	PROPN
easat-7589	119	51	mse	mse	PROPN
easat-7589	119	52	x	x	SYM
easat-7589	119	53	b	b	X
easat-7589	119	54	x	x	SYM
easat-7589	119	55	v	v	NOUN
easat-7589	119	56	x	x	SYM
easat-7589	119	57	n	n	PRON
easat-7589	119	58	k	k	NOUN
easat-7589	119	59	,	,	PUNCT
easat-7589	119	60	where	where	SCONJ
easat-7589	119	61	b(x	b(x	NOUN
easat-7589	119	62	)	)	PUNCT
easat-7589	119	63	denotes	denote	VERB
easat-7589	119	64	the	the	DET
easat-7589	119	65	squared	squared	ADJ
easat-7589	119	66	bias	bias	NOUN
easat-7589	119	67	,	,	PUNCT
easat-7589	119	68	v(x	v(x	PROPN
easat-7589	119	69	)	)	PUNCT
easat-7589	119	70	represents	represent	VERB
easat-7589	119	71	the	the	DET
easat-7589	119	72	variance	variance	NOUN
easat-7589	119	73	at	at	ADP
easat-7589	119	74	point	point	NOUN
easat-7589	119	75	x	x	PUNCT
easat-7589	119	76	,	,	PUNCT
easat-7589	119	77	and	and	CCONJ
easat-7589	119	78	d	d	NOUN
easat-7589	119	79	is	be	AUX
easat-7589	119	80	the	the	DET
easat-7589	119	81	dimensionality	dimensionality	NOUN
easat-7589	119	82	of	of	ADP
easat-7589	119	83	the	the	DET
easat-7589	119	84	feature	feature	NOUN
easat-7589	119	85	space	space	NOUN
easat-7589	119	86	.	.	PUNCT
easat-7589	120	1	this	this	DET
easat-7589	120	2	decomposition	decomposition	NOUN
easat-7589	120	3	highlights	highlight	VERB
easat-7589	120	4	the	the	DET
easat-7589	120	5	critical	critical	ADJ
easat-7589	120	6	balance	balance	NOUN
easat-7589	120	7	between	between	ADP
easat-7589	120	8	bias	bias	NOUN
easat-7589	120	9	and	and	CCONJ
easat-7589	120	10	variance	variance	NOUN
easat-7589	120	11	.	.	PUNCT
easat-7589	121	1	a	a	DET
easat-7589	121	2	smaller	small	ADJ
easat-7589	121	3	k	k	PROPN
easat-7589	121	4	results	result	NOUN
easat-7589	121	5	in	in	ADP
easat-7589	121	6	higher	high	ADJ
easat-7589	121	7	variance	variance	NOUN
easat-7589	121	8	but	but	CCONJ
easat-7589	121	9	lower	low	ADJ
easat-7589	121	10	bias	bias	NOUN
easat-7589	121	11	,	,	PUNCT
easat-7589	121	12	whereas	whereas	SCONJ
easat-7589	121	13	a	a	DET
easat-7589	121	14	larger	large	ADJ
easat-7589	121	15	value	value	NOUN
easat-7589	121	16	of	of	ADP
easat-7589	121	17	k	k	PROPN
easat-7589	121	18	produces	produce	VERB
easat-7589	121	19	lower	low	ADJ
easat-7589	121	20	variance	variance	NOUN
easat-7589	121	21	but	but	CCONJ
easat-7589	121	22	higher	high	ADJ
easat-7589	121	23	bias	bias	NOUN
easat-7589	121	24	.	.	PUNCT
easat-7589	122	1	thus	thus	ADV
easat-7589	122	2	,	,	PUNCT
easat-7589	122	3	careful	careful	ADJ
easat-7589	122	4	selection	selection	NOUN
easat-7589	122	5	of	of	ADP
easat-7589	122	6	the	the	DET
easat-7589	122	7	neighborhood	neighborhood	NOUN
easat-7589	122	8	size	size	NOUN
easat-7589	122	9	k	k	PROPN
easat-7589	122	10	relative	relative	ADJ
easat-7589	122	11	to	to	ADP
easat-7589	122	12	the	the	DET
easat-7589	122	13	sample	sample	NOUN
easat-7589	122	14	size	size	NOUN
easat-7589	122	15	n	n	PART
easat-7589	122	16	is	be	AUX
easat-7589	122	17	essential	essential	ADJ
easat-7589	122	18	for	for	ADP
easat-7589	122	19	optimal	optimal	ADJ
easat-7589	122	20	predictive	predictive	ADJ
easat-7589	122	21	accuracy	accuracy	NOUN
easat-7589	123	1	[	[	X
easat-7589	123	2	31	31	NUM
easat-7589	123	3	,	,	PUNCT
easat-7589	123	4	32	32	NUM
easat-7589	123	5	]	]	PUNCT
easat-7589	123	6	.	.	PUNCT
easat-7589	124	1	3	3	X
easat-7589	124	2	.	.	X
easat-7589	124	3	cross	cross	ADJ
easat-7589	124	4	-	-	ADJ
easat-7589	124	5	validation	validation	ADJ
easat-7589	124	6	error	error	NOUN
easat-7589	124	7	cross	cross	NOUN
easat-7589	124	8	-	-	ADJ
easat-7589	124	9	validation	validation	NOUN
easat-7589	124	10	is	be	AUX
easat-7589	124	11	a	a	DET
easat-7589	124	12	widely	widely	ADV
easat-7589	124	13	adopted	adopt	VERB
easat-7589	124	14	technique	technique	NOUN
easat-7589	124	15	used	use	VERB
easat-7589	124	16	to	to	PART
easat-7589	124	17	assess	assess	VERB
easat-7589	124	18	the	the	DET
easat-7589	124	19	predictive	predictive	ADJ
easat-7589	124	20	performance	performance	NOUN
easat-7589	124	21	of	of	ADP
easat-7589	124	22	statistical	statistical	ADJ
easat-7589	124	23	and	and	CCONJ
easat-7589	124	24	machine	machine	NOUN
easat-7589	124	25	learning	learning	NOUN
easat-7589	124	26	models	model	NOUN
easat-7589	124	27	.	.	PUNCT
easat-7589	125	1	among	among	ADP
easat-7589	125	2	various	various	ADJ
easat-7589	125	3	methods	method	NOUN
easat-7589	125	4	,	,	PUNCT
easat-7589	125	5	v	v	NOUN
easat-7589	125	6	-	-	ADJ
easat-7589	125	7	fold	fold	ADJ
easat-7589	125	8	cross	cross	NOUN
easat-7589	125	9	-	-	NOUN
easat-7589	125	10	validation	validation	NOUN
easat-7589	125	11	is	be	AUX
easat-7589	125	12	particularly	particularly	ADV
easat-7589	125	13	popular	popular	ADJ
easat-7589	125	14	due	due	ADP
easat-7589	125	15	to	to	ADP
easat-7589	125	16	its	its	PRON
easat-7589	125	17	optimal	optimal	ADJ
easat-7589	125	18	balance	balance	NOUN
easat-7589	125	19	between	between	ADP
easat-7589	125	20	computational	computational	ADJ
easat-7589	125	21	efficiency	efficiency	NOUN
easat-7589	125	22	and	and	CCONJ
easat-7589	125	23	reliable	reliable	ADJ
easat-7589	125	24	error	error	NOUN
easat-7589	125	25	estimation	estimation	NOUN
easat-7589	125	26	.	.	PUNCT
easat-7589	126	1	in	in	ADP
easat-7589	126	2	−v	−v	NOUN
easat-7589	126	3	fold	fold	VERB
easat-7589	126	4	cross	cross	NOUN
easat-7589	126	5	-	-	NOUN
easat-7589	126	6	validation	validation	ADJ
easat-7589	126	7	,	,	PUNCT
easat-7589	126	8	the	the	DET
easat-7589	126	9	dataset	dataset	NOUN
easat-7589	126	10	(	(	PUNCT
easat-7589	126	11	)	)	PUNCT
easat-7589	126	12			PROPN
easat-7589	126	13			PROPN
easat-7589	127	1	=	=	PUNCT
easat-7589	127	2	=	=	SYM
easat-7589	127	3	1	1	NUM
easat-7589	127	4	,	,	PUNCT
easat-7589	127	5	n	n	CCONJ
easat-7589	128	1	i	i	PRON
easat-7589	128	2	i	i	PRON
easat-7589	129	1	i	i	PRON
easat-7589	129	2	ys	ys	VERB
easat-7589	129	3	x	x	VERB
easat-7589	129	4	is	be	AUX
easat-7589	129	5	divided	divide	VERB
easat-7589	129	6	into	into	ADP
easat-7589	129	7	v	v	NOUN
easat-7589	129	8	equally	equally	ADV
easat-7589	129	9	sized	sized	ADJ
easat-7589	129	10	subsets	subset	NOUN
easat-7589	129	11	known	know	VERB
easat-7589	129	12	as	as	ADP
easat-7589	129	13	folds	fold	NOUN
easat-7589	129	14	.	.	PUNCT
easat-7589	130	1	each	each	DET
easat-7589	130	2	fold	fold	NOUN
easat-7589	130	3	sequentially	sequentially	ADV
easat-7589	130	4	serves	serve	VERB
easat-7589	130	5	as	as	ADP
easat-7589	130	6	a	a	DET
easat-7589	130	7	test	test	NOUN
easat-7589	130	8	set	set	NOUN
easat-7589	130	9	,	,	PUNCT
easat-7589	130	10	while	while	SCONJ
easat-7589	130	11	the	the	DET
easat-7589	130	12	remaining	remain	VERB
easat-7589	130	13	−1v	−1v	PROPN
easat-7589	130	14	folds	fold	NOUN
easat-7589	130	15	collectively	collectively	ADV
easat-7589	130	16	form	form	VERB
easat-7589	130	17	the	the	DET
easat-7589	130	18	training	training	NOUN
easat-7589	130	19	set	set	NOUN
easat-7589	130	20	.	.	PUNCT
easat-7589	131	1	this	this	PRON
easat-7589	131	2	ensures	ensure	VERB
easat-7589	131	3	each	each	DET
easat-7589	131	4	data	datum	NOUN
easat-7589	131	5	point	point	NOUN
easat-7589	131	6	contributes	contribute	VERB
easat-7589	131	7	to	to	ADP
easat-7589	131	8	both	both	DET
easat-7589	131	9	training	training	NOUN
easat-7589	131	10	and	and	CCONJ
easat-7589	131	11	testing	testing	NOUN
easat-7589	131	12	,	,	PUNCT
easat-7589	131	13	enhancing	enhance	VERB
easat-7589	131	14	2754	2754	NUM
easat-7589	131	15	edelweiss	edelweiss	PROPN
easat-7589	131	16	applied	apply	VERB
easat-7589	131	17	science	science	NOUN
easat-7589	131	18	and	and	CCONJ
easat-7589	131	19	technology	technology	NOUN
easat-7589	131	20	issn	issn	PROPN
easat-7589	131	21	:	:	PUNCT
easat-7589	131	22	2576	2576	NUM
easat-7589	131	23	-	-	SYM
easat-7589	131	24	8484	8484	NUM
easat-7589	131	25	vol	vol	NOUN
easat-7589	131	26	.	.	PROPN
easat-7589	132	1	9	9	NUM
easat-7589	132	2	,	,	PUNCT
easat-7589	132	3	no	no	INTJ
easat-7589	132	4	.	.	NOUN
easat-7589	132	5	5	5	NUM
easat-7589	132	6	:	:	PUNCT
easat-7589	132	7	2750	2750	NUM
easat-7589	132	8	-	-	SYM
easat-7589	132	9	2764	2764	NUM
easat-7589	132	10	,	,	PUNCT
easat-7589	132	11	2025	2025	NUM
easat-7589	132	12	doi	doi	NOUN
easat-7589	132	13	:	:	PUNCT
easat-7589	132	14	10.55214/25768484.v9i5.7589	10.55214/25768484.v9i5.7589	NUM
easat-7589	132	15	©	©	PROPN
easat-7589	132	16	2025	2025	NUM
easat-7589	132	17	by	by	ADP
easat-7589	132	18	the	the	DET
easat-7589	132	19	authors	author	NOUN
easat-7589	132	20	;	;	PUNCT
easat-7589	132	21	licensee	licensee	PROPN
easat-7589	132	22	learning	learning	NOUN
easat-7589	132	23	gate	gate	VERB
easat-7589	132	24	the	the	DET
easat-7589	132	25	robustness	robustness	NOUN
easat-7589	132	26	and	and	CCONJ
easat-7589	132	27	generalizability	generalizability	NOUN
easat-7589	132	28	of	of	ADP
easat-7589	132	29	evaluation	evaluation	NOUN
easat-7589	132	30	.	.	PUNCT
easat-7589	133	1	formally	formally	ADV
easat-7589	133	2	,	,	PUNCT
easat-7589	133	3	the	the	DET
easat-7589	133	4	dataset	dataset	NOUN
easat-7589	133	5	s	s	VERB
easat-7589	133	6	is	be	AUX
easat-7589	133	7	partitioned	partition	VERB
easat-7589	133	8	into	into	ADP
easat-7589	133	9	v	v	NOUN
easat-7589	133	10	subsets	subset	NOUN
easat-7589	133	11	,	,	PUNCT
easat-7589	133	12	fold	fold	VERB
easat-7589	133	13	v	v	NOUN
easat-7589	133	14	for	for	ADP
easat-7589	133	15	v	v	NOUN
easat-7589	133	16	=	=	SYM
easat-7589	133	17	1	1	NUM
easat-7589	133	18	,	,	PUNCT
easat-7589	133	19	2	2	NUM
easat-7589	133	20	,	,	PUNCT
easat-7589	133	21	…	…	NUM
easat-7589	133	22	,	,	PUNCT
easat-7589	133	23	v	v	NOUN
easat-7589	133	24	,	,	PUNCT
easat-7589	133	25	satisfying	satisfy	VERB
easat-7589	133	26	:	:	PUNCT
easat-7589	133	27	=	=	SYM
easat-7589	133	28	=	=	SYM
easat-7589	133	29	1	1	NUM
easat-7589	133	30	fold	fold	NOUN
easat-7589	133	31	v	v	NOUN
easat-7589	133	32	v	v	ADP
easat-7589	133	33	v	v	NOUN
easat-7589	133	34	s	s	NOUN
easat-7589	133	35	and	and	CCONJ
easat-7589	133	36			NOUN
easat-7589	133	37	=	=	NOUN
easat-7589	133	38			ADV
easat-7589	133	39			VERB
easat-7589	133	40	fold	fold	VERB
easat-7589	133	41	fold	fold	ADJ
easat-7589	133	42	,	,	PUNCT
easat-7589	133	43	i	i	PRON
easat-7589	133	44	j	j	VERB
easat-7589	134	1	i	i	PRON
easat-7589	134	2	j	j	PROPN
easat-7589	134	3	in	in	ADP
easat-7589	134	4	each	each	DET
easat-7589	134	5	iteration	iteration	NOUN
easat-7589	134	6	v	v	NOUN
easat-7589	134	7	,	,	PUNCT
easat-7589	134	8	the	the	DET
easat-7589	134	9	model	model	NOUN
easat-7589	134	10	is	be	AUX
easat-7589	134	11	trained	train	VERB
easat-7589	134	12	on	on	ADP
easat-7589	134	13	\fold	\fold	PROPN
easat-7589	134	14	v	v	NOUN
easat-7589	134	15	s	s	NOUN
easat-7589	134	16	,	,	PUNCT
easat-7589	134	17	the	the	DET
easat-7589	134	18	complement	complement	NOUN
easat-7589	134	19	of	of	ADP
easat-7589	134	20	the	the	DET
easat-7589	134	21	v	v	NOUN
easat-7589	134	22	-th	-th	NOUN
easat-7589	134	23	fold	fold	VERB
easat-7589	134	24	,	,	PUNCT
easat-7589	134	25	producing	produce	VERB
easat-7589	134	26	surrogate	surrogate	ADJ
easat-7589	134	27	model	model	NOUN
easat-7589	134	28	ˆ	ˆ	PROPN
easat-7589	134	29	(	(	PUNCT
easat-7589	134	30	)	)	PUNCT
easat-7589	134	31	v	v	NOUN
easat-7589	134	32	i	i	PRON
easat-7589	134	33	ψ	ψ	NOUN
easat-7589	134	34	x	x	X
easat-7589	134	35	.	.	PUNCT
easat-7589	135	1	the	the	DET
easat-7589	135	2	predictive	predictive	ADJ
easat-7589	135	3	error	error	NOUN
easat-7589	135	4	v	v	ADP
easat-7589	135	5	e	e	NOUN
easat-7589	135	6	for	for	ADP
easat-7589	135	7	each	each	DET
easat-7589	135	8	fold	fold	NOUN
easat-7589	135	9	is	be	AUX
easat-7589	135	10	calculated	calculate	VERB
easat-7589	135	11	as	as	ADP
easat-7589	135	12	:	:	PUNCT
easat-7589	135	13			NOUN
easat-7589	135	14	=	=	PUNCT
easat-7589	135	15			X
easat-7589	135	16	(	(	PUNCT
easat-7589	135	17	,	,	PUNCT
easat-7589	135	18	)	)	PUNCT
easat-7589	135	19	fold	fold	VERB
easat-7589	135	20	1	1	NUM
easat-7589	135	21	ˆ	ˆ	NOUN
easat-7589	135	22	(	(	PUNCT
easat-7589	135	23	,	,	PUNCT
easat-7589	135	24	(	(	PUNCT
easat-7589	135	25	)	)	PUNCT
easat-7589	135	26	)	)	PUNCT
easat-7589	136	1	|fold	|fold	ADJ
easat-7589	136	2	|	|	NOUN
easat-7589	136	3	vi	vi	INTJ
easat-7589	137	1	i	i	PRON
easat-7589	137	2	i	i	INTJ
easat-7589	137	3	y	y	VERB
easat-7589	137	4	v	v	NUM
easat-7589	137	5	v	v	NOUN
easat-7589	137	6	iv	iv	ADP
easat-7589	138	1	e	e	PROPN
easat-7589	138	2	y	y	PROPN
easat-7589	138	3	ψ	ψ	X
easat-7589	138	4	x	x	X
easat-7589	138	5	x	x	X
easat-7589	138	6	,	,	PUNCT
easat-7589	138	7	where	where	SCONJ
easat-7589	138	8	denotes	denote	VERB
easat-7589	138	9	an	an	DET
easat-7589	138	10	appropriate	appropriate	ADJ
easat-7589	138	11	loss	loss	NOUN
easat-7589	138	12	function	function	NOUN
easat-7589	138	13	such	such	ADJ
easat-7589	138	14	as	as	ADP
easat-7589	138	15	mean	mean	NOUN
easat-7589	138	16	squared	square	VERB
easat-7589	138	17	error	error	NOUN
easat-7589	138	18	(	(	PUNCT
easat-7589	138	19	mse	mse	NOUN
easat-7589	138	20	)	)	PUNCT
easat-7589	138	21	.	.	PUNCT
easat-7589	139	1	after	after	ADP
easat-7589	139	2	iterating	iterate	VERB
easat-7589	139	3	over	over	ADP
easat-7589	139	4	all	all	DET
easat-7589	139	5	folds	fold	NOUN
easat-7589	139	6	,	,	PUNCT
easat-7589	139	7	overall	overall	ADJ
easat-7589	139	8	cv	cv	NOUN
easat-7589	139	9	error	error	NOUN
easat-7589	139	10	ò	ò	PROPN
easat-7589	139	11	-fold	-fold	PROPN
easat-7589	139	12	cv	cv	PROPN
easat-7589	139	13	ˆk	ˆk	PROPN
easat-7589	139	14	is	be	AUX
easat-7589	139	15	computed	compute	VERB
easat-7589	139	16	as	as	ADP
easat-7589	139	17	the	the	DET
easat-7589	139	18	average	average	NOUN
easat-7589	139	19	of	of	ADP
easat-7589	139	20	fold	fold	ADJ
easat-7589	139	21	-	-	PUNCT
easat-7589	139	22	specific	specific	ADJ
easat-7589	139	23	errors	error	NOUN
easat-7589	139	24	:	:	PUNCT
easat-7589	140	1	=	=	SYM
easat-7589	140	2	=	=	SYM
easat-7589	140	3	ò	ò	PROPN
easat-7589	140	4	-fold	-fold	PROPN
easat-7589	140	5	cv	cv	PROPN
easat-7589	140	6	1	1	NUM
easat-7589	140	7	1	1	NUM
easat-7589	140	8	ˆ	ˆ	NOUN
easat-7589	140	9	v	v	NOUN
easat-7589	140	10	v	v	NOUN
easat-7589	140	11	k	k	PROPN
easat-7589	140	12	v	v	NUM
easat-7589	140	13	e	e	NOUN
easat-7589	140	14	v	v	NOUN
easat-7589	140	15	.	.	PUNCT
easat-7589	141	1	this	this	DET
easat-7589	141	2	process	process	NOUN
easat-7589	141	3	ensures	ensure	VERB
easat-7589	141	4	comprehensive	comprehensive	ADJ
easat-7589	141	5	error	error	NOUN
easat-7589	141	6	estimates	estimate	NOUN
easat-7589	141	7	,	,	PUNCT
easat-7589	141	8	highlighting	highlight	VERB
easat-7589	141	9	the	the	DET
easat-7589	141	10	necessity	necessity	NOUN
easat-7589	141	11	for	for	ADP
easat-7589	141	12	meticulous	meticulous	ADJ
easat-7589	141	13	design	design	NOUN
easat-7589	141	14	and	and	CCONJ
easat-7589	141	15	validation	validation	NOUN
easat-7589	141	16	when	when	SCONJ
easat-7589	141	17	applying	apply	VERB
easat-7589	141	18	v	v	NOUN
easat-7589	141	19	-	-	ADJ
easat-7589	141	20	fold	fold	ADJ
easat-7589	141	21	cv	cv	NOUN
easat-7589	141	22	,	,	PUNCT
easat-7589	141	23	particularly	particularly	ADV
easat-7589	141	24	in	in	ADP
easat-7589	141	25	complex	complex	ADJ
easat-7589	141	26	or	or	CCONJ
easat-7589	141	27	heterogeneous	heterogeneous	ADJ
easat-7589	141	28	datasets	dataset	NOUN
easat-7589	141	29	[	[	X
easat-7589	141	30	3335	3335	NUM
easat-7589	141	31	]	]	PUNCT
easat-7589	141	32	.	.	PUNCT
easat-7589	142	1	however	however	ADV
easat-7589	142	2	,	,	PUNCT
easat-7589	142	3	the	the	DET
easat-7589	142	4	implementation	implementation	NOUN
easat-7589	142	5	of	of	ADP
easat-7589	142	6	v	v	ADP
easat-7589	142	7	-	-	ADJ
easat-7589	142	8	fold	fold	ADJ
easat-7589	142	9	cross	cross	NOUN
easat-7589	142	10	-	-	ADJ
easat-7589	142	11	validation	validation	ADJ
easat-7589	142	12	can	can	AUX
easat-7589	142	13	face	face	VERB
easat-7589	142	14	several	several	ADJ
easat-7589	142	15	challenges	challenge	NOUN
easat-7589	142	16	.	.	PUNCT
easat-7589	143	1	one	one	NUM
easat-7589	143	2	key	key	ADJ
easat-7589	143	3	issue	issue	NOUN
easat-7589	143	4	is	be	AUX
easat-7589	143	5	class	class	NOUN
easat-7589	143	6	imbalance	imbalance	NOUN
easat-7589	143	7	,	,	PUNCT
easat-7589	143	8	where	where	SCONJ
easat-7589	143	9	certain	certain	ADJ
easat-7589	143	10	classes	class	NOUN
easat-7589	143	11	might	might	AUX
easat-7589	143	12	be	be	AUX
easat-7589	143	13	underrepresented	underrepresente	VERB
easat-7589	143	14	or	or	CCONJ
easat-7589	143	15	entirely	entirely	ADV
easat-7589	143	16	excluded	exclude	VERB
easat-7589	143	17	from	from	ADP
easat-7589	143	18	some	some	DET
easat-7589	143	19	folds	fold	NOUN
easat-7589	143	20	.	.	PUNCT
easat-7589	144	1	for	for	ADP
easat-7589	144	2	instance	instance	NOUN
easat-7589	144	3	,	,	PUNCT
easat-7589	144	4	if	if	SCONJ
easat-7589	144	5	fold	fold	ADJ
easat-7589	144	6	k	k	PROPN
easat-7589	144	7	contains	contain	VERB
easat-7589	144	8	only	only	ADJ
easat-7589	144	9	data	datum	NOUN
easat-7589	144	10	from	from	ADP
easat-7589	144	11	one	one	NUM
easat-7589	144	12	class	class	NOUN
easat-7589	144	13	,	,	PUNCT
easat-7589	144	14	the	the	DET
easat-7589	144	15	surrogate	surrogate	ADJ
easat-7589	144	16	model	model	NOUN
easat-7589	144	17	ˆ	ˆ	PROPN
easat-7589	144	18	(	(	PUNCT
easat-7589	144	19	)	)	PUNCT
easat-7589	144	20	v	v	NOUN
easat-7589	144	21	ψ	ψ	NOUN
easat-7589	144	22	x	x	VERB
easat-7589	144	23	may	may	AUX
easat-7589	144	24	fail	fail	VERB
easat-7589	144	25	to	to	PART
easat-7589	144	26	generalize	generalize	VERB
easat-7589	144	27	to	to	ADP
easat-7589	144	28	unseen	unseen	ADJ
easat-7589	144	29	classes	class	NOUN
easat-7589	144	30	.	.	PUNCT
easat-7589	145	1	to	to	PART
easat-7589	145	2	mitigate	mitigate	VERB
easat-7589	145	3	this	this	PRON
easat-7589	145	4	,	,	PUNCT
easat-7589	145	5	it	it	PRON
easat-7589	145	6	is	be	AUX
easat-7589	145	7	common	common	ADJ
easat-7589	145	8	practice	practice	NOUN
easat-7589	145	9	to	to	PART
easat-7589	145	10	shuffle	shuffle	VERB
easat-7589	145	11	the	the	DET
easat-7589	145	12	data	datum	NOUN
easat-7589	145	13	before	before	ADP
easat-7589	145	14	partitioning	partition	VERB
easat-7589	145	15	it	it	PRON
easat-7589	145	16	into	into	ADP
easat-7589	145	17	folds	fold	NOUN
easat-7589	145	18	.	.	PUNCT
easat-7589	146	1	shuffling	shuffle	VERB
easat-7589	146	2	assumes	assume	VERB
easat-7589	146	3	that	that	SCONJ
easat-7589	146	4	the	the	DET
easat-7589	146	5	samples	sample	NOUN
easat-7589	146	6	are	be	AUX
easat-7589	146	7	independent	independent	ADJ
easat-7589	146	8	and	and	CCONJ
easat-7589	146	9	identically	identically	ADV
easat-7589	146	10	distributed	distribute	VERB
easat-7589	146	11	(	(	PUNCT
easat-7589	146	12	i.i.d	i.i.d	PROPN
easat-7589	146	13	.	.	PUNCT
easat-7589	146	14	)	)	PUNCT
easat-7589	146	15	,	,	PUNCT
easat-7589	146	16	allowing	allow	VERB
easat-7589	146	17	for	for	ADP
easat-7589	146	18	a	a	DET
easat-7589	146	19	more	more	ADV
easat-7589	146	20	balanced	balanced	ADJ
easat-7589	146	21	representation	representation	NOUN
easat-7589	146	22	of	of	ADP
easat-7589	146	23	classes	class	NOUN
easat-7589	146	24	across	across	ADP
easat-7589	146	25	folds	fold	NOUN
easat-7589	146	26	.	.	PUNCT
easat-7589	147	1	nevertheless	nevertheless	ADV
easat-7589	147	2	,	,	PUNCT
easat-7589	147	3	this	this	DET
easat-7589	147	4	assumption	assumption	NOUN
easat-7589	147	5	may	may	AUX
easat-7589	147	6	not	not	PART
easat-7589	147	7	hold	hold	VERB
easat-7589	147	8	for	for	ADP
easat-7589	147	9	time	time	NOUN
easat-7589	147	10	-	-	PUNCT
easat-7589	147	11	series	series	NOUN
easat-7589	147	12	or	or	CCONJ
easat-7589	147	13	correlated	correlate	VERB
easat-7589	147	14	data	datum	NOUN
easat-7589	147	15	,	,	PUNCT
easat-7589	147	16	where	where	SCONJ
easat-7589	147	17	shuffling	shuffle	VERB
easat-7589	147	18	could	could	AUX
easat-7589	147	19	result	result	VERB
easat-7589	147	20	in	in	ADP
easat-7589	147	21	overly	overly	ADV
easat-7589	147	22	optimistic	optimistic	ADJ
easat-7589	147	23	error	error	NOUN
easat-7589	147	24	estimates	estimate	NOUN
easat-7589	147	25	due	due	ADP
easat-7589	147	26	to	to	ADP
easat-7589	147	27	the	the	DET
easat-7589	147	28	violation	violation	NOUN
easat-7589	147	29	of	of	ADP
easat-7589	147	30	data	datum	NOUN
easat-7589	147	31	dependencies	dependency	NOUN
easat-7589	147	32	[	[	X
easat-7589	147	33	36	36	NUM
easat-7589	147	34	-	-	SYM
easat-7589	147	35	38	38	NUM
easat-7589	147	36	]	]	PUNCT
easat-7589	147	37	.	.	PUNCT
easat-7589	148	1	another	another	DET
easat-7589	148	2	critical	critical	ADJ
easat-7589	148	3	consideration	consideration	NOUN
easat-7589	148	4	is	be	AUX
easat-7589	148	5	ensuring	ensure	VERB
easat-7589	148	6	representative	representative	ADJ
easat-7589	148	7	data	datum	NOUN
easat-7589	148	8	distribution	distribution	NOUN
easat-7589	148	9	across	across	ADP
easat-7589	148	10	folds	fold	NOUN
easat-7589	148	11	.	.	PUNCT
easat-7589	149	1	if	if	SCONJ
easat-7589	149	2	certain	certain	ADJ
easat-7589	149	3	regions	region	NOUN
easat-7589	149	4	of	of	ADP
easat-7589	149	5	the	the	DET
easat-7589	149	6	feature	feature	NOUN
easat-7589	149	7	space	space	NOUN
easat-7589	149	8	are	be	AUX
easat-7589	149	9	inadequately	inadequately	ADV
easat-7589	149	10	represented	represent	VERB
easat-7589	149	11	in	in	ADP
easat-7589	149	12	training	training	NOUN
easat-7589	149	13	folds	fold	NOUN
easat-7589	149	14	,	,	PUNCT
easat-7589	149	15	the	the	DET
easat-7589	149	16	model	model	NOUN
easat-7589	149	17	may	may	AUX
easat-7589	149	18	fail	fail	VERB
easat-7589	149	19	to	to	PART
easat-7589	149	20	generalize	generalize	VERB
easat-7589	149	21	effectively	effectively	ADV
easat-7589	149	22	when	when	SCONJ
easat-7589	149	23	predicting	predict	VERB
easat-7589	149	24	the	the	DET
easat-7589	149	25	test	test	NOUN
easat-7589	149	26	fold	fold	VERB
easat-7589	149	27	.	.	PUNCT
easat-7589	150	1	these	these	DET
easat-7589	150	2	concerns	concern	NOUN
easat-7589	150	3	highlight	highlight	VERB
easat-7589	150	4	the	the	DET
easat-7589	150	5	importance	importance	NOUN
easat-7589	150	6	of	of	ADP
easat-7589	150	7	meticulous	meticulous	ADJ
easat-7589	150	8	design	design	NOUN
easat-7589	150	9	and	and	CCONJ
easat-7589	150	10	validation	validation	NOUN
easat-7589	150	11	when	when	SCONJ
easat-7589	150	12	applying	apply	VERB
easat-7589	150	13	v	v	ADP
easat-7589	150	14	-fold	-fold	ADJ
easat-7589	150	15	cross	cross	NOUN
easat-7589	150	16	-	-	NOUN
easat-7589	150	17	validation	validation	ADJ
easat-7589	150	18	,	,	PUNCT
easat-7589	150	19	particularly	particularly	ADV
easat-7589	150	20	in	in	ADP
easat-7589	150	21	complex	complex	ADJ
easat-7589	150	22	or	or	CCONJ
easat-7589	150	23	heterogeneous	heterogeneous	ADJ
easat-7589	150	24	datasets	dataset	NOUN
easat-7589	150	25	.	.	PUNCT
easat-7589	151	1	4	4	X
easat-7589	151	2	.	.	X
easat-7589	151	3	performance	performance	NOUN
easat-7589	151	4	criteria	criterion	NOUN
easat-7589	151	5	evaluating	evaluate	VERB
easat-7589	151	6	predictive	predictive	ADJ
easat-7589	151	7	models	model	NOUN
easat-7589	151	8	typically	typically	ADV
easat-7589	151	9	involves	involve	VERB
easat-7589	151	10	metrics	metric	NOUN
easat-7589	151	11	that	that	PRON
easat-7589	151	12	fall	fall	VERB
easat-7589	151	13	into	into	ADP
easat-7589	151	14	two	two	NUM
easat-7589	151	15	broad	broad	ADJ
easat-7589	151	16	categories	category	NOUN
easat-7589	151	17	:	:	PUNCT
easat-7589	151	18	point	point	NOUN
easat-7589	151	19	estimation	estimation	NOUN
easat-7589	151	20	metrics	metric	NOUN
easat-7589	151	21	and	and	CCONJ
easat-7589	151	22	prediction	prediction	NOUN
easat-7589	151	23	interval	interval	NOUN
easat-7589	151	24	metrics	metric	NOUN
easat-7589	151	25	.	.	PUNCT
easat-7589	152	1	these	these	DET
easat-7589	152	2	metrics	metric	NOUN
easat-7589	152	3	provide	provide	VERB
easat-7589	152	4	a	a	DET
easat-7589	152	5	comprehensive	comprehensive	ADJ
easat-7589	152	6	assessment	assessment	NOUN
easat-7589	152	7	of	of	ADP
easat-7589	152	8	a	a	DET
easat-7589	152	9	model	model	NOUN
easat-7589	152	10	’s	’s	PART
easat-7589	152	11	accuracy	accuracy	NOUN
easat-7589	152	12	,	,	PUNCT
easat-7589	152	13	reliability	reliability	NOUN
easat-7589	152	14	,	,	PUNCT
easat-7589	152	15	and	and	CCONJ
easat-7589	152	16	uncertainty	uncertainty	NOUN
easat-7589	152	17	quantification	quantification	NOUN
easat-7589	152	18	capabilities	capability	NOUN
easat-7589	152	19	.	.	PUNCT
easat-7589	153	1	4.1	4.1	NUM
easat-7589	153	2	.	.	PUNCT
easat-7589	153	3	point	point	NOUN
easat-7589	153	4	estimation	estimation	NOUN
easat-7589	153	5	metrics	metric	NOUN
easat-7589	153	6	4.1.1	4.1.1	NUM
easat-7589	153	7	.	.	PUNCT
easat-7589	154	1	root	root	NOUN
easat-7589	154	2	mean	mean	VERB
easat-7589	154	3	squared	square	VERB
easat-7589	154	4	error	error	NOUN
easat-7589	154	5	root	root	NOUN
easat-7589	154	6	mean	mean	VERB
easat-7589	154	7	squared	square	VERB
easat-7589	154	8	error	error	NOUN
easat-7589	154	9	(	(	PUNCT
easat-7589	154	10	rmse	rmse	NOUN
easat-7589	154	11	)	)	PUNCT
easat-7589	154	12	is	be	AUX
easat-7589	154	13	widely	widely	ADV
easat-7589	154	14	utilized	utilize	VERB
easat-7589	154	15	for	for	ADP
easat-7589	154	16	measuring	measure	VERB
easat-7589	154	17	prediction	prediction	NOUN
easat-7589	154	18	error	error	NOUN
easat-7589	154	19	magnitude	magnitude	NOUN
easat-7589	154	20	.	.	PUNCT
easat-7589	155	1	mathematically	mathematically	ADV
easat-7589	155	2	,	,	PUNCT
easat-7589	155	3	rmse	rmse	PROPN
easat-7589	155	4	is	be	AUX
easat-7589	155	5	defined	define	VERB
easat-7589	155	6	as	as	ADP
easat-7589	155	7	:	:	PUNCT
easat-7589	155	8	=	=	SYM
easat-7589	155	9	=	=	SYM
easat-7589	155	10	−	−	NOUN
easat-7589	155	11	2	2	NUM
easat-7589	155	12	1	1	NUM
easat-7589	155	13	1	1	NUM
easat-7589	155	14	ˆ	ˆ	PROPN
easat-7589	155	15	(	(	PUNCT
easat-7589	155	16	)	)	PUNCT
easat-7589	156	1	n	n	CCONJ
easat-7589	156	2	i	i	PRON
easat-7589	157	1	i	i	PRON
easat-7589	158	1	i	i	PRON
easat-7589	158	2	rmse	rmse	VERB
easat-7589	158	3	y	y	PROPN
easat-7589	158	4	y	y	PROPN
easat-7589	158	5	n	n	PROPN
easat-7589	158	6	,	,	PUNCT
easat-7589	158	7	2755	2755	NUM
easat-7589	158	8	edelweiss	edelweiss	PROPN
easat-7589	158	9	applied	apply	VERB
easat-7589	158	10	science	science	NOUN
easat-7589	158	11	and	and	CCONJ
easat-7589	158	12	technology	technology	NOUN
easat-7589	158	13	issn	issn	PROPN
easat-7589	158	14	:	:	PUNCT
easat-7589	158	15	2576	2576	NUM
easat-7589	158	16	-	-	SYM
easat-7589	158	17	8484	8484	NUM
easat-7589	158	18	vol	vol	NOUN
easat-7589	158	19	.	.	PROPN
easat-7589	159	1	9	9	NUM
easat-7589	159	2	,	,	PUNCT
easat-7589	159	3	no	no	INTJ
easat-7589	159	4	.	.	NOUN
easat-7589	159	5	5	5	NUM
easat-7589	159	6	:	:	PUNCT
easat-7589	159	7	2750	2750	NUM
easat-7589	159	8	-	-	SYM
easat-7589	159	9	2764	2764	NUM
easat-7589	159	10	,	,	PUNCT
easat-7589	159	11	2025	2025	NUM
easat-7589	159	12	doi	doi	NOUN
easat-7589	159	13	:	:	PUNCT
easat-7589	159	14	10.55214/25768484.v9i5.7589	10.55214/25768484.v9i5.7589	NUM
easat-7589	159	15	©	©	PROPN
easat-7589	159	16	2025	2025	NUM
easat-7589	159	17	by	by	ADP
easat-7589	159	18	the	the	DET
easat-7589	159	19	authors	author	NOUN
easat-7589	159	20	;	;	PUNCT
easat-7589	159	21	licensee	licensee	PROPN
easat-7589	159	22	learning	learning	NOUN
easat-7589	159	23	gate	gate	NOUN
easat-7589	159	24	where	where	SCONJ
easat-7589	159	25	i	i	PRON
easat-7589	159	26	y	y	PROPN
easat-7589	159	27	represents	represent	VERB
easat-7589	159	28	the	the	DET
easat-7589	159	29	actual	actual	ADJ
easat-7589	159	30	value	value	NOUN
easat-7589	159	31	,	,	PUNCT
easat-7589	159	32	ˆ	ˆ	ADP
easat-7589	159	33	i	i	PRON
easat-7589	159	34	y	y	PROPN
easat-7589	159	35	is	be	AUX
easat-7589	159	36	the	the	DET
easat-7589	159	37	predicted	predict	VERB
easat-7589	159	38	value	value	NOUN
easat-7589	159	39	,	,	PUNCT
easat-7589	159	40	and	and	CCONJ
easat-7589	159	41	n	n	PRON
easat-7589	159	42	is	be	AUX
easat-7589	159	43	the	the	DET
easat-7589	159	44	number	number	NOUN
easat-7589	159	45	of	of	ADP
easat-7589	159	46	observations	observation	NOUN
easat-7589	159	47	.	.	PUNCT
easat-7589	160	1	rmse	rmse	PROPN
easat-7589	160	2	emphasizes	emphasize	VERB
easat-7589	160	3	large	large	ADJ
easat-7589	160	4	prediction	prediction	NOUN
easat-7589	160	5	errors	error	NOUN
easat-7589	160	6	,	,	PUNCT
easat-7589	160	7	making	make	VERB
easat-7589	160	8	it	it	PRON
easat-7589	160	9	particularly	particularly	ADV
easat-7589	160	10	useful	useful	ADJ
easat-7589	160	11	in	in	ADP
easat-7589	160	12	applications	application	NOUN
easat-7589	160	13	where	where	SCONJ
easat-7589	160	14	minimizing	minimize	VERB
easat-7589	160	15	substantial	substantial	ADJ
easat-7589	160	16	deviations	deviation	NOUN
easat-7589	160	17	is	be	AUX
easat-7589	160	18	crucial	crucial	ADJ
easat-7589	160	19	[	[	X
easat-7589	160	20	38	38	NUM
easat-7589	160	21	]	]	PUNCT
easat-7589	160	22	.	.	PUNCT
easat-7589	161	1	4.1.2	4.1.2	X
easat-7589	161	2	.	.	PUNCT
easat-7589	161	3	mean	mean	PROPN
easat-7589	161	4	absolute	absolute	ADJ
easat-7589	161	5	error	error	NOUN
easat-7589	161	6	mean	mean	VERB
easat-7589	161	7	absolute	absolute	ADJ
easat-7589	161	8	error	error	NOUN
easat-7589	161	9	(	(	PUNCT
easat-7589	161	10	mae	mae	PROPN
easat-7589	161	11	)	)	PUNCT
easat-7589	161	12	measures	measure	VERB
easat-7589	161	13	the	the	DET
easat-7589	161	14	average	average	ADJ
easat-7589	161	15	magnitude	magnitude	NOUN
easat-7589	161	16	of	of	ADP
easat-7589	161	17	prediction	prediction	NOUN
easat-7589	161	18	errors	error	NOUN
easat-7589	161	19	,	,	PUNCT
easat-7589	161	20	providing	provide	VERB
easat-7589	161	21	an	an	DET
easat-7589	161	22	intuitive	intuitive	ADJ
easat-7589	161	23	metric	metric	NOUN
easat-7589	161	24	for	for	ADP
easat-7589	161	25	predictive	predictive	ADJ
easat-7589	161	26	performance	performance	NOUN
easat-7589	161	27	.	.	PUNCT
easat-7589	162	1	mae	mae	PROPN
easat-7589	162	2	is	be	AUX
easat-7589	162	3	calculated	calculate	VERB
easat-7589	162	4	as	as	ADP
easat-7589	162	5	:	:	PUNCT
easat-7589	162	6	=	=	SYM
easat-7589	162	7	=	=	SYM
easat-7589	162	8	−	−	NOUN
easat-7589	162	9	1	1	NUM
easat-7589	162	10	1	1	NUM
easat-7589	162	11	ˆ	ˆ	NOUN
easat-7589	162	12	n	n	NOUN
easat-7589	163	1	i	i	PRON
easat-7589	164	1	i	i	PRON
easat-7589	165	1	i	i	PRON
easat-7589	165	2	mae	mae	PROPN
easat-7589	165	3	y	y	PROPN
easat-7589	165	4	y	y	PROPN
easat-7589	165	5	n	n	PROPN
easat-7589	165	6	,	,	PUNCT
easat-7589	165	7	compared	compare	VERB
easat-7589	165	8	to	to	ADP
easat-7589	165	9	rmse	rmse	PROPN
easat-7589	165	10	,	,	PUNCT
easat-7589	165	11	mae	mae	PROPN
easat-7589	165	12	is	be	AUX
easat-7589	165	13	less	less	ADV
easat-7589	165	14	sensitive	sensitive	ADJ
easat-7589	165	15	to	to	ADP
easat-7589	165	16	extreme	extreme	ADJ
easat-7589	165	17	values	value	NOUN
easat-7589	165	18	,	,	PUNCT
easat-7589	165	19	making	make	VERB
easat-7589	165	20	it	it	PRON
easat-7589	165	21	robust	robust	ADJ
easat-7589	165	22	to	to	ADP
easat-7589	165	23	outliers	outlier	NOUN
easat-7589	165	24	and	and	CCONJ
easat-7589	165	25	suitable	suitable	ADJ
easat-7589	165	26	when	when	SCONJ
easat-7589	165	27	reducing	reduce	VERB
easat-7589	165	28	large	large	ADJ
easat-7589	165	29	deviations	deviation	NOUN
easat-7589	165	30	is	be	AUX
easat-7589	165	31	not	not	PART
easat-7589	165	32	critical	critical	ADJ
easat-7589	165	33	[	[	X
easat-7589	165	34	39	39	NUM
easat-7589	165	35	]	]	PUNCT
easat-7589	165	36	.	.	PUNCT
easat-7589	166	1	4.1.3	4.1.3	NUM
easat-7589	166	2	.	.	X
easat-7589	167	1	r	r	X
easat-7589	167	2	-	-	PUNCT
easat-7589	167	3	squared	square	VERB
easat-7589	167	4	the	the	DET
easat-7589	167	5	coefficient	coefficient	NOUN
easat-7589	167	6	of	of	ADP
easat-7589	167	7	determination	determination	NOUN
easat-7589	167	8	(	(	PUNCT
easat-7589	167	9	2r	2r	NUM
easat-7589	167	10	)	)	PUNCT
easat-7589	167	11	quantifies	quantify	VERB
easat-7589	167	12	the	the	DET
easat-7589	167	13	proportion	proportion	NOUN
easat-7589	167	14	of	of	ADP
easat-7589	167	15	variability	variability	NOUN
easat-7589	167	16	in	in	ADP
easat-7589	167	17	the	the	DET
easat-7589	167	18	dependent	dependent	ADJ
easat-7589	167	19	variable	variable	NOUN
easat-7589	167	20	explained	explain	VERB
easat-7589	167	21	by	by	ADP
easat-7589	167	22	the	the	DET
easat-7589	167	23	predictive	predictive	ADJ
easat-7589	167	24	model	model	NOUN
easat-7589	167	25	.	.	PUNCT
easat-7589	168	1	mathematically	mathematically	ADV
easat-7589	168	2	,	,	PUNCT
easat-7589	168	3	it	it	PRON
easat-7589	168	4	is	be	AUX
easat-7589	168	5	expressed	express	VERB
easat-7589	168	6	as	as	ADP
easat-7589	168	7	:	:	PUNCT
easat-7589	168	8	=	=	PUNCT
easat-7589	168	9	=	=	PUNCT
easat-7589	169	1	−	−	PROPN
easat-7589	169	2	=	=	PUNCT
easat-7589	170	1	−	−	PROPN
easat-7589	170	2	−	−	NOUN
easat-7589	170	3			X
easat-7589	170	4			X
easat-7589	170	5	2	2	NUM
easat-7589	170	6	2	2	NUM
easat-7589	170	7	1	1	NUM
easat-7589	170	8	2	2	NUM
easat-7589	170	9	1	1	NUM
easat-7589	170	10	ˆ	ˆ	NOUN
easat-7589	170	11	(	(	PUNCT
easat-7589	170	12	)	)	PUNCT
easat-7589	170	13	1	1	NUM
easat-7589	170	14	(	(	PUNCT
easat-7589	170	15	)	)	PUNCT
easat-7589	170	16	n	n	CCONJ
easat-7589	171	1	i	i	PRON
easat-7589	171	2	i	i	PRON
easat-7589	172	1	i	i	PRON
easat-7589	172	2	n	n	VERB
easat-7589	173	1	i	i	PRON
easat-7589	173	2	i	i	INTJ
easat-7589	174	1	y	y	VERB
easat-7589	174	2	y	y	NOUN
easat-7589	174	3	r	r	NOUN
easat-7589	174	4	y	y	PROPN
easat-7589	174	5	y	y	PROPN
easat-7589	174	6	,	,	PUNCT
easat-7589	174	7	where	where	SCONJ
easat-7589	174	8	y	y	PROPN
easat-7589	174	9	is	be	AUX
easat-7589	174	10	the	the	DET
easat-7589	174	11	mean	mean	NOUN
easat-7589	174	12	of	of	ADP
easat-7589	174	13	the	the	DET
easat-7589	174	14	observed	observe	VERB
easat-7589	174	15	values	value	NOUN
easat-7589	174	16	.	.	PUNCT
easat-7589	175	1	the	the	DET
easat-7589	175	2	2r	2r	NUM
easat-7589	175	3	metric	metric	ADJ
easat-7589	175	4	ranges	range	NOUN
easat-7589	175	5	between	between	ADP
easat-7589	175	6	negative	negative	ADJ
easat-7589	175	7	infinity	infinity	NOUN
easat-7589	175	8	and	and	CCONJ
easat-7589	175	9	1	1	NUM
easat-7589	175	10	,	,	PUNCT
easat-7589	175	11	where	where	SCONJ
easat-7589	175	12	values	value	NOUN
easat-7589	175	13	closer	close	ADV
easat-7589	175	14	to	to	ADP
easat-7589	175	15	1	1	NUM
easat-7589	175	16	indicate	indicate	VERB
easat-7589	175	17	better	well	ADJ
easat-7589	175	18	predictive	predictive	ADJ
easat-7589	175	19	performance	performance	NOUN
easat-7589	175	20	[	[	X
easat-7589	175	21	40	40	NUM
easat-7589	175	22	,	,	PUNCT
easat-7589	175	23	41	41	NUM
easat-7589	175	24	]	]	PUNCT
easat-7589	175	25	.	.	PUNCT
easat-7589	176	1	4.2	4.2	NUM
easat-7589	176	2	.	.	PUNCT
easat-7589	176	3	prediction	prediction	NOUN
easat-7589	176	4	interval	interval	NOUN
easat-7589	176	5	metrics	metric	NOUN
easat-7589	176	6	4.2.1	4.2.1	NOUN
easat-7589	176	7	.	.	PUNCT
easat-7589	177	1	coverage	coverage	NOUN
easat-7589	177	2	probability	probability	NOUN
easat-7589	177	3	coverage	coverage	NOUN
easat-7589	177	4	probability	probability	NOUN
easat-7589	177	5	(	(	PUNCT
easat-7589	177	6	cp	cp	NOUN
easat-7589	177	7	)	)	PUNCT
easat-7589	177	8	evaluates	evaluate	VERB
easat-7589	177	9	the	the	DET
easat-7589	177	10	proportion	proportion	NOUN
easat-7589	177	11	of	of	ADP
easat-7589	177	12	actual	actual	ADJ
easat-7589	177	13	observed	observed	ADJ
easat-7589	177	14	values	value	NOUN
easat-7589	177	15	that	that	PRON
easat-7589	177	16	fall	fall	VERB
easat-7589	177	17	within	within	ADP
easat-7589	177	18	predicted	predict	VERB
easat-7589	177	19	intervals	interval	NOUN
easat-7589	177	20	.	.	PUNCT
easat-7589	178	1	ideally	ideally	ADV
easat-7589	178	2	,	,	PUNCT
easat-7589	178	3	for	for	ADP
easat-7589	178	4	a	a	DET
easat-7589	178	5	nominal	nominal	ADJ
easat-7589	178	6	confidence	confidence	NOUN
easat-7589	178	7	level	level	NOUN
easat-7589	178	8	−(1	−(1	NOUN
easat-7589	178	9	)	)	PUNCT
easat-7589	178	10	100%,α	100%,α	NUM
easat-7589	178	11	empirical	empirical	ADJ
easat-7589	178	12	cp	cp	INTJ
easat-7589	178	13	should	should	AUX
easat-7589	178	14	closely	closely	ADV
easat-7589	178	15	match	match	VERB
easat-7589	178	16	this	this	DET
easat-7589	178	17	nominal	nominal	ADJ
easat-7589	178	18	level	level	NOUN
easat-7589	178	19	,	,	PUNCT
easat-7589	178	20	thus	thus	ADV
easat-7589	178	21	reflecting	reflect	VERB
easat-7589	178	22	the	the	DET
easat-7589	178	23	interval	interval	NOUN
easat-7589	178	24	's	's	PART
easat-7589	178	25	reliability	reliability	NOUN
easat-7589	178	26	.	.	PUNCT
easat-7589	179	1	cp	cp	PROPN
easat-7589	179	2	serves	serve	VERB
easat-7589	179	3	as	as	ADP
easat-7589	179	4	a	a	DET
easat-7589	179	5	critical	critical	ADJ
easat-7589	179	6	metric	metric	NOUN
easat-7589	179	7	for	for	ADP
easat-7589	179	8	assessing	assess	VERB
easat-7589	179	9	the	the	DET
easat-7589	179	10	accuracy	accuracy	NOUN
easat-7589	179	11	of	of	ADP
easat-7589	179	12	interval	interval	NOUN
easat-7589	179	13	estimates	estimate	NOUN
easat-7589	179	14	in	in	ADP
easat-7589	179	15	various	various	ADJ
easat-7589	179	16	statistical	statistical	ADJ
easat-7589	179	17	contexts	contexts	NOUN
easat-7589	179	18	,	,	PUNCT
easat-7589	179	19	including	include	VERB
easat-7589	179	20	zero	zero	NUM
easat-7589	179	21	-	-	PUNCT
easat-7589	179	22	inflated	inflate	VERB
easat-7589	179	23	models	model	NOUN
easat-7589	179	24	and	and	CCONJ
easat-7589	179	25	regression	regression	NOUN
easat-7589	179	26	frameworks	framework	NOUN
easat-7589	179	27	[	[	X
easat-7589	179	28	42	42	NUM
easat-7589	179	29	-	-	SYM
easat-7589	179	30	44	44	NUM
easat-7589	179	31	]	]	PUNCT
easat-7589	179	32	.	.	PUNCT
easat-7589	180	1	it	it	PRON
easat-7589	180	2	is	be	AUX
easat-7589	180	3	calculated	calculate	VERB
easat-7589	180	4	as	as	ADP
easat-7589	180	5	:	:	PUNCT
easat-7589	180	6	=	=	SYM
easat-7589	180	7	=	=	SYM
easat-7589	180	8			NUM
easat-7589	180	9			X
easat-7589	180	10	1	1	NUM
easat-7589	180	11	1	1	NUM
easat-7589	180	12	cp	cp	INTJ
easat-7589	180	13	(	(	PUNCT
easat-7589	180	14	)	)	PUNCT
easat-7589	181	1	n	n	CCONJ
easat-7589	181	2	i	i	PRON
easat-7589	182	1	i	i	PRON
easat-7589	182	2	i	i	PRON
easat-7589	183	1	i	i	PRON
easat-7589	183	2	l	l	VERB
easat-7589	183	3	y	y	PROPN
easat-7589	183	4	ui	ui	PROPN
easat-7589	183	5	n	n	PROPN
easat-7589	183	6	,	,	PUNCT
easat-7589	184	1	where	where	SCONJ
easat-7589	184	2	i	i	PRON
easat-7589	184	3	l	l	VERB
easat-7589	185	1	and	and	CCONJ
easat-7589	185	2	i	i	PRON
easat-7589	185	3	u	u	PRON
easat-7589	185	4	denote	denote	VERB
easat-7589	185	5	the	the	DET
easat-7589	185	6	lower	low	ADJ
easat-7589	185	7	and	and	CCONJ
easat-7589	185	8	upper	upper	ADJ
easat-7589	185	9	bounds	bound	NOUN
easat-7589	185	10	of	of	ADP
easat-7589	185	11	the	the	DET
easat-7589	185	12	prediction	prediction	NOUN
easat-7589	185	13	interval	interval	NOUN
easat-7589	185	14	,	,	PUNCT
easat-7589	185	15	respectively	respectively	ADV
easat-7589	185	16	,	,	PUNCT
easat-7589	185	17	and	and	CCONJ
easat-7589	185	18			NUM
easat-7589	185	19	(	(	PUNCT
easat-7589	185	20	)	)	PUNCT
easat-7589	185	21	i	i	PRON
easat-7589	185	22	is	be	AUX
easat-7589	185	23	an	an	DET
easat-7589	185	24	indicator	indicator	NOUN
easat-7589	185	25	function	function	NOUN
easat-7589	185	26	.	.	PUNCT
easat-7589	186	1	4.2.2	4.2.2	X
easat-7589	186	2	.	.	PUNCT
easat-7589	186	3	expected	expect	VERB
easat-7589	186	4	length	length	NOUN
easat-7589	186	5	expected	expect	VERB
easat-7589	186	6	length	length	NOUN
easat-7589	186	7	(	(	PUNCT
easat-7589	186	8	el	el	NOUN
easat-7589	186	9	)	)	PUNCT
easat-7589	186	10	measures	measure	VERB
easat-7589	186	11	the	the	DET
easat-7589	186	12	average	average	ADJ
easat-7589	186	13	width	width	NOUN
easat-7589	186	14	of	of	ADP
easat-7589	186	15	prediction	prediction	NOUN
easat-7589	186	16	intervals	interval	NOUN
easat-7589	186	17	,	,	PUNCT
easat-7589	186	18	calculated	calculate	VERB
easat-7589	186	19	as	as	ADP
easat-7589	186	20	:	:	PUNCT
easat-7589	186	21	=	=	SYM
easat-7589	186	22	=	=	SYM
easat-7589	186	23	−	−	NUM
easat-7589	186	24	1	1	NUM
easat-7589	186	25	1	1	NUM
easat-7589	186	26	el	el	PROPN
easat-7589	186	27	(	(	PUNCT
easat-7589	186	28	)	)	PUNCT
easat-7589	186	29	.	.	PUNCT
easat-7589	187	1	n	n	PRON
easat-7589	188	1	i	i	PRON
easat-7589	188	2	i	i	PRON
easat-7589	188	3	i	i	VERB
easat-7589	188	4	u	u	VERB
easat-7589	188	5	l	l	NOUN
easat-7589	188	6	n	n	CCONJ
easat-7589	188	7	generally	generally	ADV
easat-7589	188	8	,	,	PUNCT
easat-7589	188	9	narrower	narrow	ADJ
easat-7589	188	10	intervals	interval	NOUN
easat-7589	188	11	are	be	AUX
easat-7589	188	12	preferred	prefer	VERB
easat-7589	188	13	,	,	PUNCT
easat-7589	188	14	provided	provide	VERB
easat-7589	188	15	they	they	PRON
easat-7589	188	16	maintain	maintain	VERB
easat-7589	188	17	an	an	DET
easat-7589	188	18	appropriate	appropriate	ADJ
easat-7589	188	19	cp	cp	NOUN
easat-7589	188	20	consistent	consistent	ADJ
easat-7589	188	21	with	with	ADP
easat-7589	188	22	the	the	DET
easat-7589	188	23	desired	desire	VERB
easat-7589	188	24	confidence	confidence	NOUN
easat-7589	188	25	level	level	NOUN
easat-7589	188	26	.	.	PUNCT
easat-7589	189	1	balancing	balance	VERB
easat-7589	189	2	interval	interval	NOUN
easat-7589	189	3	width	width	NOUN
easat-7589	189	4	and	and	CCONJ
easat-7589	189	5	cp	cp	INTJ
easat-7589	189	6	is	be	AUX
easat-7589	189	7	essential	essential	ADJ
easat-7589	189	8	for	for	ADP
easat-7589	189	9	effective	effective	ADJ
easat-7589	189	10	uncertainty	uncertainty	NOUN
easat-7589	189	11	quantification	quantification	NOUN
easat-7589	190	1	[	[	X
easat-7589	190	2	45	45	NUM
easat-7589	190	3	,	,	PUNCT
easat-7589	190	4	46	46	NUM
easat-7589	190	5	]	]	PUNCT
easat-7589	190	6	.	.	PUNCT
easat-7589	191	1	2756	2756	NUM
easat-7589	191	2	edelweiss	edelweiss	PROPN
easat-7589	191	3	applied	apply	VERB
easat-7589	191	4	science	science	NOUN
easat-7589	191	5	and	and	CCONJ
easat-7589	191	6	technology	technology	NOUN
easat-7589	191	7	issn	issn	PROPN
easat-7589	191	8	:	:	PUNCT
easat-7589	191	9	2576	2576	NUM
easat-7589	191	10	-	-	SYM
easat-7589	191	11	8484	8484	NUM
easat-7589	191	12	vol	vol	NOUN
easat-7589	191	13	.	.	PROPN
easat-7589	192	1	9	9	NUM
easat-7589	192	2	,	,	PUNCT
easat-7589	192	3	no	no	INTJ
easat-7589	192	4	.	.	NOUN
easat-7589	192	5	5	5	NUM
easat-7589	192	6	:	:	PUNCT
easat-7589	192	7	2750	2750	NUM
easat-7589	192	8	-	-	SYM
easat-7589	192	9	2764	2764	NUM
easat-7589	192	10	,	,	PUNCT
easat-7589	192	11	2025	2025	NUM
easat-7589	192	12	doi	doi	NOUN
easat-7589	192	13	:	:	PUNCT
easat-7589	192	14	10.55214/25768484.v9i5.7589	10.55214/25768484.v9i5.7589	NUM
easat-7589	192	15	©	©	PROPN
easat-7589	192	16	2025	2025	NUM
easat-7589	192	17	by	by	ADP
easat-7589	192	18	the	the	DET
easat-7589	192	19	authors	author	NOUN
easat-7589	192	20	;	;	PUNCT
easat-7589	192	21	licensee	licensee	PROPN
easat-7589	192	22	learning	learning	NOUN
easat-7589	192	23	gate	gate	NOUN
easat-7589	192	24	5	5	NUM
easat-7589	192	25	.	.	PUNCT
easat-7589	192	26	proposed	propose	VERB
easat-7589	192	27	methodology	methodology	NOUN
easat-7589	192	28	this	this	DET
easat-7589	192	29	study	study	NOUN
easat-7589	192	30	introduces	introduce	VERB
easat-7589	192	31	a	a	DET
easat-7589	192	32	novel	novel	ADJ
easat-7589	192	33	methodology	methodology	NOUN
easat-7589	192	34	termed	term	VERB
easat-7589	192	35	multi	multi	ADJ
easat-7589	192	36	-	-	PROPN
easat-7589	192	37	k	k	ADJ
easat-7589	192	38	knn	knn	PROPN
easat-7589	192	39	regression	regression	PROPN
easat-7589	192	40	,	,	PUNCT
easat-7589	192	41	explicitly	explicitly	ADV
easat-7589	192	42	designed	design	VERB
easat-7589	192	43	to	to	PART
easat-7589	192	44	enhance	enhance	VERB
easat-7589	192	45	prediction	prediction	NOUN
easat-7589	192	46	intervals	interval	NOUN
easat-7589	192	47	(	(	PUNCT
easat-7589	192	48	pis	pis	NOUN
easat-7589	192	49	)	)	PUNCT
easat-7589	192	50	in	in	ADP
easat-7589	192	51	k	k	ADJ
easat-7589	192	52	-	-	PUNCT
easat-7589	192	53	nearest	near	ADJ
easat-7589	192	54	neighbor	neighbor	NOUN
easat-7589	192	55	(	(	PUNCT
easat-7589	192	56	knn	knn	PROPN
easat-7589	192	57	)	)	PUNCT
easat-7589	192	58	regression	regression	NOUN
easat-7589	192	59	.	.	PUNCT
easat-7589	193	1	although	although	SCONJ
easat-7589	193	2	ensemble	ensemble	ADJ
easat-7589	193	3	methods	method	NOUN
easat-7589	193	4	,	,	PUNCT
easat-7589	193	5	bootstrapping	bootstrapping	NOUN
easat-7589	193	6	,	,	PUNCT
easat-7589	193	7	and	and	CCONJ
easat-7589	193	8	cross	cross	NOUN
easat-7589	193	9	-	-	ADJ
easat-7589	193	10	validation	validation	ADJ
easat-7589	193	11	(	(	PUNCT
easat-7589	193	12	cv	cv	NOUN
easat-7589	193	13	)	)	PUNCT
easat-7589	193	14	are	be	AUX
easat-7589	193	15	individually	individually	ADV
easat-7589	193	16	well	well	ADV
easat-7589	193	17	-	-	PUNCT
easat-7589	193	18	established	establish	VERB
easat-7589	193	19	,	,	PUNCT
easat-7589	193	20	their	their	PRON
easat-7589	193	21	integrated	integrate	VERB
easat-7589	193	22	application	application	NOUN
easat-7589	193	23	—	—	PUNCT
easat-7589	193	24	specifically	specifically	ADV
easat-7589	193	25	tailored	tailor	VERB
easat-7589	193	26	to	to	PART
easat-7589	193	27	leverage	leverage	VERB
easat-7589	193	28	multiple	multiple	ADJ
easat-7589	193	29	neighborhood	neighborhood	NOUN
easat-7589	193	30	sizes	size	NOUN
easat-7589	193	31	(	(	PUNCT
easat-7589	193	32	multi	multi	NOUN
easat-7589	193	33	-	-	NOUN
easat-7589	193	34	k)—represents	k)—represent	NOUN
easat-7589	193	35	a	a	DET
easat-7589	193	36	significant	significant	ADJ
easat-7589	193	37	methodological	methodological	ADJ
easat-7589	193	38	advancement	advancement	NOUN
easat-7589	193	39	in	in	ADP
easat-7589	193	40	knn	knn	PROPN
easat-7589	193	41	regression	regression	PROPN
easat-7589	193	42	.	.	PUNCT
easat-7589	194	1	by	by	ADP
easat-7589	194	2	combining	combine	VERB
easat-7589	194	3	predictions	prediction	NOUN
easat-7589	194	4	from	from	ADP
easat-7589	194	5	various	various	ADJ
easat-7589	194	6	neighborhood	neighborhood	NOUN
easat-7589	194	7	sizes	size	NOUN
easat-7589	194	8	with	with	ADP
easat-7589	194	9	v	v	NOUN
easat-7589	194	10	-	-	ADJ
easat-7589	194	11	fold	fold	ADJ
easat-7589	194	12	cv	cv	NOUN
easat-7589	194	13	and	and	CCONJ
easat-7589	194	14	bootstrap	bootstrap	NOUN
easat-7589	194	15	resampling	resampling	NOUN
easat-7589	194	16	,	,	PUNCT
easat-7589	194	17	the	the	DET
easat-7589	194	18	proposed	propose	VERB
easat-7589	194	19	framework	framework	NOUN
easat-7589	194	20	generates	generate	VERB
easat-7589	194	21	robust	robust	ADJ
easat-7589	194	22	pis	pis	NOUN
easat-7589	194	23	,	,	PUNCT
easat-7589	194	24	accurately	accurately	ADV
easat-7589	194	25	quantifying	quantify	VERB
easat-7589	194	26	prediction	prediction	NOUN
easat-7589	194	27	uncertainty	uncertainty	NOUN
easat-7589	194	28	and	and	CCONJ
easat-7589	194	29	variability	variability	NOUN
easat-7589	194	30	.	.	PUNCT
easat-7589	195	1	the	the	DET
easat-7589	195	2	methodology	methodology	NOUN
easat-7589	195	3	comprises	comprise	VERB
easat-7589	195	4	three	three	NUM
easat-7589	195	5	primary	primary	ADJ
easat-7589	195	6	stages	stage	NOUN
easat-7589	195	7	:	:	PUNCT
easat-7589	195	8	data	datum	NOUN
easat-7589	195	9	preprocessing	preprocessing	NOUN
easat-7589	195	10	,	,	PUNCT
easat-7589	195	11	multi	multi	ADJ
easat-7589	195	12	-	-	ADJ
easat-7589	195	13	k	k	ADJ
easat-7589	195	14	prediction	prediction	NOUN
easat-7589	195	15	generation	generation	NOUN
easat-7589	195	16	,	,	PUNCT
easat-7589	195	17	and	and	CCONJ
easat-7589	195	18	bootstrap	bootstrap	NOUN
easat-7589	195	19	-	-	PUNCT
easat-7589	195	20	based	base	VERB
easat-7589	195	21	pi	pi	NOUN
easat-7589	195	22	construction	construction	NOUN
easat-7589	195	23	.	.	PUNCT
easat-7589	196	1	5.1	5.1	NUM
easat-7589	196	2	.	.	PUNCT
easat-7589	197	1	data	datum	NOUN
easat-7589	197	2	preprocessing	preprocessing	NOUN
easat-7589	197	3	consider	consider	VERB
easat-7589	197	4	a	a	DET
easat-7589	197	5	dataset	dataset	NOUN
easat-7589	197	6	s	s	AUX
easat-7589	197	7	containing	contain	VERB
easat-7589	197	8	n	n	PROPN
easat-7589	197	9	observations	observation	NOUN
easat-7589	197	10	:	:	PUNCT
easat-7589	197	11	=	=	SYM
easat-7589	197	12	=	=	SYM
easat-7589	197	13			NOUN
easat-7589	197	14			NOUN
easat-7589	197	15	1	1	NUM
easat-7589	197	16	{	{	PUNCT
easat-7589	197	17	(	(	PUNCT
easat-7589	197	18	,	,	PUNCT
easat-7589	197	19	)	)	PUNCT
easat-7589	197	20	}	}	PUNCT
easat-7589	197	21	,	,	PUNCT
easat-7589	197	22	,	,	PUNCT
easat-7589	197	23	,	,	PUNCT
easat-7589	197	24	n	n	PROPN
easat-7589	198	1	d	d	NOUN
easat-7589	199	1	i	i	PRON
easat-7589	200	1	i	i	PRON
easat-7589	201	1	i	i	PRON
easat-7589	202	1	i	i	PRON
easat-7589	203	1	i	i	PRON
easat-7589	203	2	s	s	VERB
easat-7589	203	3	y	y	PROPN
easat-7589	203	4	yx	yx	PROPN
easat-7589	203	5	x	x	SYM
easat-7589	203	6	where	where	SCONJ
easat-7589	203	7	i	i	PRON
easat-7589	203	8	x	x	VERB
easat-7589	203	9	are	be	AUX
easat-7589	203	10	input	input	NOUN
easat-7589	203	11	features	feature	NOUN
easat-7589	204	1	and	and	CCONJ
easat-7589	204	2	i	i	PRON
easat-7589	204	3	y	y	PROPN
easat-7589	204	4	are	be	AUX
easat-7589	204	5	target	target	NOUN
easat-7589	204	6	values	value	NOUN
easat-7589	204	7	.	.	PUNCT
easat-7589	205	1	the	the	DET
easat-7589	205	2	dataset	dataset	NOUN
easat-7589	205	3	is	be	AUX
easat-7589	205	4	partitioned	partition	VERB
easat-7589	205	5	into	into	ADP
easat-7589	205	6	v	v	NUM
easat-7589	205	7	-fold	-fold	ADJ
easat-7589	205	8	crossvalidation	crossvalidation	NOUN
easat-7589	205	9	sets	set	NOUN
easat-7589	205	10			ADP
easat-7589	205	11	1	1	NUM
easat-7589	205	12	2	2	NUM
easat-7589	205	13	{	{	PUNCT
easat-7589	205	14	,	,	PUNCT
easat-7589	205	15	,	,	PUNCT
easat-7589	205	16	,	,	PUNCT
easat-7589	205	17	}	}	PUNCT
easat-7589	205	18	.	.	PUNCT
easat-7589	206	1	v	v	X
easat-7589	206	2	f	f	X
easat-7589	206	3	f	f	PROPN
easat-7589	206	4	f	f	PROPN
easat-7589	206	5	in	in	ADP
easat-7589	206	6	iteration	iteration	NOUN
easat-7589	206	7	v	v	NOUN
easat-7589	206	8	,	,	PUNCT
easat-7589	206	9	fold	fold	VERB
easat-7589	206	10	v	v	ADP
easat-7589	206	11	f	f	PROPN
easat-7589	206	12	serves	serve	VERB
easat-7589	206	13	as	as	ADP
easat-7589	206	14	the	the	DET
easat-7589	206	15	validation	validation	NOUN
easat-7589	206	16	set	set	NOUN
easat-7589	206	17	,	,	PUNCT
easat-7589	206	18	and	and	CCONJ
easat-7589	206	19	the	the	DET
easat-7589	206	20	remaining	remain	VERB
easat-7589	206	21	−1v	−1v	PROPN
easat-7589	206	22	folds	fold	NOUN
easat-7589	206	23	form	form	VERB
easat-7589	206	24	the	the	DET
easat-7589	206	25	training	training	NOUN
easat-7589	206	26	set	set	NOUN
easat-7589	206	27	tr	tr	VERB
easat-7589	206	28	,	,	PUNCT
easat-7589	206	29	v	v	NOUN
easat-7589	206	30	s	s	PART
easat-7589	206	31	.	.	PUNCT
easat-7589	207	1	metrics	metric	NOUN
easat-7589	207	2	are	be	AUX
easat-7589	207	3	subsequently	subsequently	ADV
easat-7589	207	4	aggregated	aggregate	VERB
easat-7589	207	5	across	across	ADP
easat-7589	207	6	folds	fold	NOUN
easat-7589	207	7	to	to	PART
easat-7589	207	8	ensure	ensure	VERB
easat-7589	207	9	robustness	robustness	NOUN
easat-7589	207	10	.	.	PUNCT
easat-7589	208	1	for	for	ADP
easat-7589	208	2	consistency	consistency	NOUN
easat-7589	208	3	and	and	CCONJ
easat-7589	208	4	comparability	comparability	NOUN
easat-7589	208	5	across	across	ADP
easat-7589	208	6	features	feature	NOUN
easat-7589	208	7	,	,	PUNCT
easat-7589	208	8	standardization	standardization	NOUN
easat-7589	208	9	is	be	AUX
easat-7589	208	10	performed	perform	VERB
easat-7589	208	11	:	:	PUNCT
easat-7589	208	12	−	−	PROPN
easat-7589	209	1			PROPN
easat-7589	209	2	=	=	PUNCT
easat-7589	209	3	,	,	PUNCT
easat-7589	209	4	,	,	PUNCT
easat-7589	209	5	i	i	PRON
easat-7589	209	6	j	j	PROPN
easat-7589	210	1	j	j	NOUN
easat-7589	211	1	i	i	PRON
easat-7589	211	2	j	j	PROPN
easat-7589	212	1	j	j	PROPN
easat-7589	212	2	x	x	SYM
easat-7589	212	3	μ	μ	PROPN
easat-7589	212	4	x	x	PROPN
easat-7589	212	5	σ	σ	PROPN
easat-7589	212	6	,	,	PUNCT
easat-7589	212	7	where	where	SCONJ
easat-7589	212	8	j	j	PROPN
easat-7589	212	9	μ	μ	PROPN
easat-7589	212	10	and	and	CCONJ
easat-7589	212	11	j	j	PROPN
easat-7589	212	12	σ	σ	PROPN
easat-7589	212	13	denote	denote	VERB
easat-7589	212	14	the	the	DET
easat-7589	212	15	mean	mean	ADJ
easat-7589	212	16	and	and	CCONJ
easat-7589	212	17	standard	standard	ADJ
easat-7589	212	18	deviation	deviation	NOUN
easat-7589	212	19	computed	compute	VERB
easat-7589	212	20	from	from	ADP
easat-7589	212	21	the	the	DET
easat-7589	212	22	training	training	NOUN
easat-7589	212	23	set	set	NOUN
easat-7589	212	24	,	,	PUNCT
easat-7589	212	25	respectively	respectively	ADV
easat-7589	212	26	.	.	PUNCT
easat-7589	213	1	5.2	5.2	NUM
easat-7589	213	2	.	.	PUNCT
easat-7589	214	1	multi	multi	ADJ
easat-7589	214	2	-	-	ADJ
easat-7589	214	3	k	k	ADJ
easat-7589	214	4	prediction	prediction	NOUN
easat-7589	214	5	generation	generation	NOUN
easat-7589	214	6	knn	knn	PROPN
easat-7589	214	7	regression	regression	NOUN
easat-7589	214	8	predictions	prediction	NOUN
easat-7589	214	9	are	be	AUX
easat-7589	214	10	iteratively	iteratively	ADV
easat-7589	214	11	computed	compute	VERB
easat-7589	214	12	for	for	ADP
easat-7589	214	13	multiple	multiple	ADJ
easat-7589	214	14	neighborhood	neighborhood	NOUN
easat-7589	214	15	sizes	size	NOUN
easat-7589	214	16	,	,	PUNCT
easat-7589	214	17	defined	define	VERB
easat-7589	214	18	as	as	ADP
easat-7589	214	19	:	:	PUNCT
easat-7589	214	20			NOUN
easat-7589	214	21			NUM
easat-7589	214	22	=	=	NUM
easat-7589	214	23			NOUN
easat-7589	214	24			NOUN
easat-7589	214	25			PROPN
easat-7589	214	26	1,2	1,2	NUM
easat-7589	214	27	,	,	PUNCT
easat-7589	214	28	,	,	PUNCT
easat-7589	214	29	.k	.k	PROPN
easat-7589	214	30	n	n	PROPN
easat-7589	214	31	for	for	ADP
easat-7589	214	32	each	each	DET
easat-7589	214	33	validation	validation	NOUN
easat-7589	214	34	fold	fold	VERB
easat-7589	214	35	v	v	ADP
easat-7589	214	36	f	f	NOUN
easat-7589	214	37	and	and	CCONJ
easat-7589	214	38	test	test	NOUN
easat-7589	214	39	point	point	NOUN
easat-7589	214	40			PROPN
easat-7589	214	41	v	v	ADP
easat-7589	214	42	fx	fx	NOUN
easat-7589	214	43	,	,	PUNCT
easat-7589	214	44	predictions	prediction	NOUN
easat-7589	214	45	for	for	ADP
easat-7589	214	46	each	each	DET
easat-7589	214	47	neighborhood	neighborhood	NOUN
easat-7589	214	48	size	size	NOUN
easat-7589	214	49	k	k	VERB
easat-7589	214	50	k	k	PROPN
easat-7589	214	51	are	be	AUX
easat-7589	214	52	obtained	obtain	VERB
easat-7589	214	53	via	via	ADP
easat-7589	214	54	:	:	PUNCT
easat-7589	215	1	=	=	SYM
easat-7589	215	2	=	=	SYM
easat-7589	215	3			X
easat-7589	215	4	(	(	PUNCT
easat-7589	215	5	)	)	PUNCT
easat-7589	215	6	1	1	NUM
easat-7589	215	7	1	1	NUM
easat-7589	215	8	ˆ	ˆ	NOUN
easat-7589	215	9	(	(	PUNCT
easat-7589	215	10	)	)	PUNCT
easat-7589	216	1	i	i	PRON
easat-7589	216	2	k	k	PROPN
easat-7589	216	3	ik	ik	PROPN
easat-7589	216	4	y	y	PROPN
easat-7589	216	5	y	y	PROPN
easat-7589	216	6	k	k	PROPN
easat-7589	216	7	x	x	INTJ
easat-7589	216	8	,	,	PUNCT
easat-7589	216	9	where	where	SCONJ
easat-7589	216	10	(	(	PUNCT
easat-7589	216	11	)	)	PUNCT
easat-7589	216	12	i	i	PRON
easat-7589	216	13	y	y	PROPN
easat-7589	216	14	represents	represent	VERB
easat-7589	216	15	the	the	DET
easat-7589	216	16	target	target	NOUN
easat-7589	216	17	values	value	NOUN
easat-7589	216	18	of	of	ADP
easat-7589	216	19	the	the	DET
easat-7589	216	20	k	k	PROPN
easat-7589	216	21	nearest	near	ADJ
easat-7589	216	22	neighbors	neighbor	NOUN
easat-7589	216	23	identified	identify	VERB
easat-7589	216	24	in	in	ADP
easat-7589	216	25	tr	tr	VERB
easat-7589	216	26	,	,	PUNCT
easat-7589	216	27	v	v	NOUN
easat-7589	216	28	s	s	PART
easat-7589	216	29	.	.	PUNCT
easat-7589	217	1	predictions	prediction	NOUN
easat-7589	217	2	for	for	ADP
easat-7589	217	3	all	all	DET
easat-7589	217	4	k	k	PROPN
easat-7589	217	5	are	be	AUX
easat-7589	217	6	collected	collect	VERB
easat-7589	217	7	into	into	ADP
easat-7589	217	8	the	the	DET
easat-7589	217	9	prediction	prediction	NOUN
easat-7589	217	10	vector	vector	NOUN
easat-7589	217	11	:	:	PUNCT
easat-7589	217	12			NOUN
easat-7589	217	13			NOUN
easat-7589	217	14			VERB
easat-7589	217	15			PROPN
easat-7589	217	16	=	=	SYM
easat-7589	217	17			ADP
easat-7589	217	18	1	1	NUM
easat-7589	217	19	2	2	NUM
easat-7589	217	20	ˆ	ˆ	NOUN
easat-7589	217	21	ˆ	ˆ	NOUN
easat-7589	217	22	ˆ	ˆ	ADJ
easat-7589	217	23	{	{	PUNCT
easat-7589	217	24	(	(	PUNCT
easat-7589	217	25	)	)	PUNCT
easat-7589	217	26	,	,	PUNCT
easat-7589	217	27	(	(	PUNCT
easat-7589	217	28	)	)	PUNCT
easat-7589	217	29	,	,	PUNCT
easat-7589	217	30	,	,	PUNCT
easat-7589	217	31	(	(	PUNCT
easat-7589	217	32	)	)	PUNCT
easat-7589	217	33	}	}	PUNCT
easat-7589	217	34	n	n	CCONJ
easat-7589	217	35	y	y	PROPN
easat-7589	217	36	y	y	PROPN
easat-7589	217	37	y	y	PROPN
easat-7589	218	1	x	x	X
easat-7589	218	2	p	p	X
easat-7589	218	3	x	x	X
easat-7589	218	4	x	x	SYM
easat-7589	218	5	x	x	X
easat-7589	218	6	,	,	PUNCT
easat-7589	218	7	thereby	thereby	ADV
easat-7589	218	8	promoting	promote	VERB
easat-7589	218	9	diversity	diversity	NOUN
easat-7589	218	10	and	and	CCONJ
easat-7589	218	11	enhancing	enhance	VERB
easat-7589	218	12	predictive	predictive	ADJ
easat-7589	218	13	robustness	robustness	NOUN
easat-7589	218	14	.	.	PUNCT
easat-7589	219	1	5.3	5.3	NUM
easat-7589	219	2	.	.	X
easat-7589	219	3	bootstrap	bootstrap	NOUN
easat-7589	219	4	interval	interval	NOUN
easat-7589	219	5	construction	construction	NOUN
easat-7589	219	6	bootstrap	bootstrap	NOUN
easat-7589	219	7	resampling	resample	VERB
easat-7589	219	8	generates	generate	VERB
easat-7589	219	9	prediction	prediction	NOUN
easat-7589	219	10	intervals	interval	NOUN
easat-7589	219	11	from	from	ADP
easat-7589	219	12	x	x	X
easat-7589	219	13	p	p	NOUN
easat-7589	219	14	.	.	PUNCT
easat-7589	220	1	for	for	ADP
easat-7589	220	2	each	each	DET
easat-7589	220	3	test	test	NOUN
easat-7589	220	4	point	point	NOUN
easat-7589	220	5			PROPN
easat-7589	220	6	k	k	PROPN
easat-7589	220	7	fx	fx	PROPN
easat-7589	220	8	:	:	PUNCT
easat-7589	220	9	1	1	X
easat-7589	220	10	.	.	X
easat-7589	220	11	bootstrap	bootstrap	NOUN
easat-7589	220	12	sampling	sampling	NOUN
easat-7589	220	13	:	:	PUNCT
easat-7589	220	14	generate	generate	VERB
easat-7589	220	15	b	b	PROPN
easat-7589	220	16	bootstrap	bootstrap	NOUN
easat-7589	220	17	samples	sample	NOUN
easat-7589	220	18	from	from	ADP
easat-7589	220	19	x	x	PUNCT
easat-7589	220	20	p	p	NOUN
easat-7589	220	21	with	with	ADP
easat-7589	220	22	replacement	replacement	NOUN
easat-7589	220	23	.	.	PUNCT
easat-7589	221	1	each	each	DET
easat-7589	221	2	bootstrap	bootstrap	NOUN
easat-7589	221	3	sample	sample	NOUN
easat-7589	221	4	is	be	AUX
easat-7589	221	5	denoted	denote	VERB
easat-7589	221	6	as	as	ADP
easat-7589	221	7	:	:	PUNCT
easat-7589	221	8	2757	2757	NUM
easat-7589	221	9	edelweiss	edelweiss	PROPN
easat-7589	221	10	applied	apply	VERB
easat-7589	221	11	science	science	NOUN
easat-7589	221	12	and	and	CCONJ
easat-7589	221	13	technology	technology	NOUN
easat-7589	221	14	issn	issn	PROPN
easat-7589	221	15	:	:	PUNCT
easat-7589	221	16	2576	2576	NUM
easat-7589	221	17	-	-	SYM
easat-7589	221	18	8484	8484	NUM
easat-7589	221	19	vol	vol	NOUN
easat-7589	221	20	.	.	PROPN
easat-7589	222	1	9	9	NUM
easat-7589	222	2	,	,	PUNCT
easat-7589	222	3	no	no	INTJ
easat-7589	222	4	.	.	NOUN
easat-7589	222	5	5	5	NUM
easat-7589	222	6	:	:	PUNCT
easat-7589	222	7	2750	2750	NUM
easat-7589	222	8	-	-	SYM
easat-7589	222	9	2764	2764	NUM
easat-7589	222	10	,	,	PUNCT
easat-7589	222	11	2025	2025	NUM
easat-7589	222	12	doi	doi	NOUN
easat-7589	222	13	:	:	PUNCT
easat-7589	222	14	10.55214/25768484.v9i5.7589	10.55214/25768484.v9i5.7589	NUM
easat-7589	222	15	©	©	PROPN
easat-7589	222	16	2025	2025	NUM
easat-7589	222	17	by	by	ADP
easat-7589	222	18	the	the	DET
easat-7589	222	19	authors	author	NOUN
easat-7589	222	20	;	;	PUNCT
easat-7589	222	21	licensee	licensee	PROPN
easat-7589	222	22	learning	learning	NOUN
easat-7589	222	23	gate	gate	NOUN
easat-7589	222	24	(	(	PUNCT
easat-7589	222	25	)	)	PUNCT
easat-7589	222	26	,	,	PUNCT
easat-7589	222	27	b	b	X
easat-7589	222	28	x	x	X
easat-7589	222	29	p	p	X
easat-7589	222	30	=	=	NOUN
easat-7589	222	31	1,2,	1,2,	NUM
easat-7589	222	32	...	...	PUNCT
easat-7589	222	33	,b	,b	PUNCT
easat-7589	223	1	b	b	X
easat-7589	223	2	.	.	NOUN
easat-7589	223	3	2	2	X
easat-7589	223	4	.	.	X
easat-7589	223	5	bootstrap	bootstrap	NOUN
easat-7589	223	6	mean	mean	NOUN
easat-7589	223	7	:	:	PUNCT
easat-7589	223	8	compute	compute	VERB
easat-7589	223	9	the	the	DET
easat-7589	223	10	mean	mean	ADJ
easat-7589	223	11	prediction	prediction	NOUN
easat-7589	223	12	for	for	ADP
easat-7589	223	13	each	each	DET
easat-7589	223	14	bootstrap	bootstrap	NOUN
easat-7589	223	15	sample	sample	NOUN
easat-7589	223	16	:	:	PUNCT
easat-7589	223	17			NOUN
easat-7589	223	18	=	=	X
easat-7589	223	19			X
easat-7589	223	20	(	(	PUNCT
easat-7589	223	21	)	)	PUNCT
easat-7589	223	22	(	(	PUNCT
easat-7589	223	23	)	)	PUNCT
easat-7589	223	24	(	(	PUNCT
easat-7589	223	25	)	)	PUNCT
easat-7589	223	26	1	1	NUM
easat-7589	224	1	|	|	ADV
easat-7589	224	2	|	|	ADV
easat-7589	224	3	b	b	PROPN
easat-7589	224	4	b	b	X
easat-7589	224	5	jb	jb	PROPN
easat-7589	224	6	j	j	PROPN
easat-7589	224	7	μ	μ	PROPN
easat-7589	224	8	y	y	PROPN
easat-7589	224	9	x	x	PUNCT
easat-7589	224	10	x	x	PUNCT
easat-7589	224	11	px	px	PROPN
easat-7589	224	12	p	p	NOUN
easat-7589	224	13	.	.	PUNCT
easat-7589	225	1	3	3	X
easat-7589	225	2	.	.	X
easat-7589	225	3	quantile	quantile	ADJ
easat-7589	225	4	estimation	estimation	NOUN
easat-7589	225	5	:	:	PUNCT
easat-7589	225	6	estimate	estimate	VERB
easat-7589	225	7	the	the	DET
easat-7589	225	8	2α	2α	PROPN
easat-7589	225	9	-th	-th	NOUN
easat-7589	225	10	and	and	CCONJ
easat-7589	225	11	(	(	PUNCT
easat-7589	225	12	)	)	PUNCT
easat-7589	225	13	−1	−1	NOUN
easat-7589	225	14	2α	2α	NOUN
easat-7589	226	1	-th	-th	ADJ
easat-7589	226	2	quantiles	quantile	NOUN
easat-7589	226	3	of	of	ADP
easat-7589	226	4	the	the	DET
easat-7589	226	5	bootstrap	bootstrap	NOUN
easat-7589	226	6	means	mean	VERB
easat-7589	226	7	:	:	PUNCT
easat-7589	226	8	(	(	PUNCT
easat-7589	226	9	)	)	PUNCT
easat-7589	226	10	(	(	PUNCT
easat-7589	226	11	)	)	PUNCT
easat-7589	226	12	=	=	SYM
easat-7589	226	13	−	−	PROPN
easat-7589	227	1	=	=	SYM
easat-7589	227	2	=	=	NOUN
easat-7589	227	3	=(	=(	NOUN
easat-7589	227	4	)	)	PUNCT
easat-7589	227	5	(	(	PUNCT
easat-7589	227	6	)	)	PUNCT
easat-7589	227	7	/2	/2	PUNCT
easat-7589	228	1	1	1	NUM
easat-7589	228	2	1	1	NUM
easat-7589	228	3	/2	/2	SYM
easat-7589	228	4	1	1	NUM
easat-7589	228	5	{	{	PUNCT
easat-7589	228	6	}	}	PUNCT
easat-7589	228	7	,	,	PUNCT
easat-7589	228	8	{	{	PUNCT
easat-7589	228	9	}	}	PUNCT
easat-7589	228	10	.b	.b	PROPN
easat-7589	229	1	b	b	X
easat-7589	229	2	b	b	X
easat-7589	229	3	b	b	PROPN
easat-7589	229	4	α	α	NOUN
easat-7589	229	5	b	b	PROPN
easat-7589	229	6	α	α	NOUN
easat-7589	229	7	b	b	PROPN
easat-7589	229	8	l	l	NOUN
easat-7589	229	9	q	q	PROPN
easat-7589	229	10	μ	μ	NUM
easat-7589	229	11	u	u	NOUN
easat-7589	229	12	q	q	PROPN
easat-7589	229	13	μ	μ	PROPN
easat-7589	229	14	x	x	SYM
easat-7589	229	15	x	x	PUNCT
easat-7589	229	16	x	x	PUNCT
easat-7589	229	17	x	x	X
easat-7589	229	18	in	in	ADP
easat-7589	229	19	this	this	DET
easat-7589	229	20	paper	paper	NOUN
easat-7589	229	21	,	,	PUNCT
easat-7589	229	22	we	we	PRON
easat-7589	229	23	use	use	VERB
easat-7589	229	24	=	=	PUNCT
easat-7589	229	25	0.05.α	0.05.α	NUM
easat-7589	229	26	4	4	NUM
easat-7589	229	27	.	.	PUNCT
easat-7589	229	28	prediction	prediction	NOUN
easat-7589	229	29	interval	interval	NOUN
easat-7589	229	30	:	:	PUNCT
easat-7589	229	31	construct	construct	VERB
easat-7589	229	32	the	the	DET
easat-7589	229	33	pi	pi	NOUN
easat-7589	229	34	for	for	ADP
easat-7589	229	35	x	x	PRON
easat-7589	229	36	:	:	PUNCT
easat-7589	229	37	=	=	NUM
easat-7589	229	38	pi	pi	NOUN
easat-7589	229	39	[	[	PUNCT
easat-7589	229	40	,	,	PUNCT
easat-7589	229	41	]	]	X
easat-7589	229	42	l	l	X
easat-7589	229	43	u	u	NOUN
easat-7589	229	44	x	x	NOUN
easat-7589	229	45	x	x	X
easat-7589	229	46	x	x	X
easat-7589	229	47	.	.	PUNCT
easat-7589	230	1	the	the	DET
easat-7589	230	2	complete	complete	ADJ
easat-7589	230	3	procedure	procedure	NOUN
easat-7589	230	4	is	be	AUX
easat-7589	230	5	succinctly	succinctly	ADV
easat-7589	230	6	summarized	summarize	VERB
easat-7589	230	7	in	in	ADP
easat-7589	230	8	the	the	DET
easat-7589	230	9	following	follow	VERB
easat-7589	230	10	algorithm	algorithm	NOUN
easat-7589	230	11	:	:	PUNCT
easat-7589	230	12	input	input	NOUN
easat-7589	230	13	:	:	PUNCT
easat-7589	230	14	•	•	NOUN
easat-7589	230	15	dataset	dataset	NOUN
easat-7589	230	16	:	:	PUNCT
easat-7589	231	1	=	=	SYM
easat-7589	231	2	=	=	SYM
easat-7589	231	3	1	1	NUM
easat-7589	231	4	{	{	PUNCT
easat-7589	231	5	(	(	PUNCT
easat-7589	231	6	,	,	PUNCT
easat-7589	231	7	)	)	PUNCT
easat-7589	231	8	}	}	PUNCT
easat-7589	231	9	n	n	CCONJ
easat-7589	232	1	i	i	PRON
easat-7589	232	2	i	i	PRON
easat-7589	233	1	i	i	PRON
easat-7589	233	2	s	s	VERB
easat-7589	233	3	yx	yx	NOUN
easat-7589	233	4	•	•	NUM
easat-7589	233	5	number	number	NOUN
easat-7589	233	6	of	of	ADP
easat-7589	233	7	cv	cv	PROPN
easat-7589	233	8	folds	fold	NOUN
easat-7589	233	9	:	:	PUNCT
easat-7589	233	10	v	v	NUM
easat-7589	233	11	•	•	NUM
easat-7589	233	12	neighborhood	neighborhood	NOUN
easat-7589	233	13	sizes	size	NOUN
easat-7589	233	14	:	:	PUNCT
easat-7589	233	15			NOUN
easat-7589	233	16			NUM
easat-7589	233	17	=	=	NUM
easat-7589	233	18			NOUN
easat-7589	233	19			NOUN
easat-7589	233	20			PROPN
easat-7589	233	21	1,2	1,2	NUM
easat-7589	233	22	,	,	PUNCT
easat-7589	233	23	,	,	PUNCT
easat-7589	233	24	k	k	PROPN
easat-7589	233	25	n	n	CCONJ
easat-7589	234	1	•	•	ADJ
easat-7589	234	2	number	number	NOUN
easat-7589	234	3	of	of	ADP
easat-7589	234	4	bootstrap	bootstrap	NOUN
easat-7589	234	5	samples	sample	NOUN
easat-7589	234	6	:	:	PUNCT
easat-7589	234	7	b	b	X
easat-7589	234	8	•	•	NUM
easat-7589	234	9	confidence	confidence	NOUN
easat-7589	234	10	level	level	NOUN
easat-7589	234	11	:	:	PUNCT
easat-7589	234	12	(	(	PUNCT
easat-7589	234	13	)	)	PUNCT
easat-7589	234	14	−1	−1	NOUN
easat-7589	234	15	α	α	NOUN
easat-7589	234	16	procedure	procedure	NOUN
easat-7589	234	17	:	:	PUNCT
easat-7589	234	18	1	1	X
easat-7589	234	19	.	.	X
easat-7589	234	20	partition	partition	VERB
easat-7589	234	21	the	the	DET
easat-7589	234	22	dataset	dataset	NOUN
easat-7589	234	23	into	into	ADP
easat-7589	234	24	v	v	NUM
easat-7589	234	25	folds	fold	NOUN
easat-7589	234	26	.	.	PUNCT
easat-7589	235	1	2	2	X
easat-7589	235	2	.	.	X
easat-7589	235	3	for	for	ADP
easat-7589	235	4	each	each	DET
easat-7589	235	5	fold	fold	NOUN
easat-7589	235	6	:	:	PUNCT
easat-7589	235	7	v	v	NUM
easat-7589	235	8	f	f	NOUN
easat-7589	235	9	•	•	NOUN
easat-7589	235	10	standardize	standardize	NOUN
easat-7589	235	11	features	feature	NOUN
easat-7589	235	12	based	base	VERB
easat-7589	235	13	on	on	ADP
easat-7589	235	14	the	the	DET
easat-7589	235	15	training	training	NOUN
easat-7589	235	16	set	set	NOUN
easat-7589	235	17	.	.	PUNCT
easat-7589	236	1	•	•	NUM
easat-7589	236	2	for	for	ADP
easat-7589	236	3	each	each	DET
easat-7589	236	4	test	test	NOUN
easat-7589	236	5	point	point	NOUN
easat-7589	236	6			PROPN
easat-7589	236	7	v	v	ADP
easat-7589	236	8	fx	fx	PROPN
easat-7589	236	9	,	,	PUNCT
easat-7589	236	10	compute	compute	NOUN
easat-7589	236	11	predictions	prediction	NOUN
easat-7589	236	12	using	use	VERB
easat-7589	236	13	knn	knn	PROPN
easat-7589	236	14	for	for	ADP
easat-7589	236	15	all	all	DET
easat-7589	236	16			NOUN
easat-7589	236	17	.k	.k	PUNCT
easat-7589	237	1	k	k	X
easat-7589	237	2	•	•	NUM
easat-7589	237	3	perform	perform	NOUN
easat-7589	237	4	bootstrap	bootstrap	NOUN
easat-7589	237	5	resampling	resample	VERB
easat-7589	237	6	on	on	ADP
easat-7589	237	7	predictions	prediction	NOUN
easat-7589	237	8	to	to	PART
easat-7589	237	9	construct	construct	VERB
easat-7589	237	10	pis	pis	PROPN
easat-7589	237	11	.	.	PUNCT
easat-7589	238	1	output	output	NOUN
easat-7589	238	2	:	:	PUNCT
easat-7589	238	3	prediction	prediction	NOUN
easat-7589	238	4	intervals	interval	NOUN
easat-7589	238	5	[	[	PUNCT
easat-7589	238	6	,	,	PUNCT
easat-7589	238	7	]	]	X
easat-7589	238	8	l	l	X
easat-7589	238	9	u	u	X
easat-7589	238	10	x	x	X
easat-7589	238	11	x	x	VERB
easat-7589	238	12	for	for	ADP
easat-7589	238	13	each	each	DET
easat-7589	238	14	test	test	NOUN
easat-7589	238	15	point	point	NOUN
easat-7589	238	16	.	.	PUNCT
easat-7589	239	1	6	6	X
easat-7589	239	2	.	.	X
easat-7589	239	3	evaluation	evaluation	NOUN
easat-7589	239	4	datasets	dataset	NOUN
easat-7589	239	5	and	and	CCONJ
easat-7589	239	6	results	result	VERB
easat-7589	239	7	this	this	DET
easat-7589	239	8	section	section	NOUN
easat-7589	239	9	presents	present	VERB
easat-7589	239	10	the	the	DET
easat-7589	239	11	datasets	dataset	NOUN
easat-7589	239	12	used	use	VERB
easat-7589	239	13	for	for	ADP
easat-7589	239	14	benchmarking	benchmarke	VERB
easat-7589	239	15	and	and	CCONJ
easat-7589	239	16	evaluates	evaluate	VERB
easat-7589	239	17	the	the	DET
easat-7589	239	18	proposed	propose	VERB
easat-7589	239	19	bootstrap	bootstrap	NOUN
easat-7589	239	20	multi	multi	PROPN
easat-7589	239	21	-	-	PROPN
easat-7589	239	22	k	k	ADJ
easat-7589	239	23	knn	knn	PROPN
easat-7589	239	24	regression	regression	PROPN
easat-7589	239	25	approach	approach	NOUN
easat-7589	239	26	.	.	PUNCT
easat-7589	240	1	results	result	NOUN
easat-7589	240	2	are	be	AUX
easat-7589	240	3	compared	compare	VERB
easat-7589	240	4	with	with	ADP
easat-7589	240	5	those	those	PRON
easat-7589	240	6	obtained	obtain	VERB
easat-7589	240	7	from	from	ADP
easat-7589	240	8	standard	standard	ADJ
easat-7589	240	9	regression	regression	NOUN
easat-7589	240	10	methods	method	NOUN
easat-7589	240	11	.	.	PUNCT
easat-7589	241	1	both	both	PRON
easat-7589	241	2	point	point	VERB
easat-7589	241	3	prediction	prediction	NOUN
easat-7589	241	4	accuracy	accuracy	NOUN
easat-7589	241	5	and	and	CCONJ
easat-7589	241	6	interval	interval	NOUN
easat-7589	241	7	estimation	estimation	NOUN
easat-7589	241	8	effectiveness	effectiveness	NOUN
easat-7589	241	9	are	be	AUX
easat-7589	241	10	assessed	assess	VERB
easat-7589	241	11	using	use	VERB
easat-7589	241	12	the	the	DET
easat-7589	241	13	metrics	metric	NOUN
easat-7589	241	14	rmse	rmse	NOUN
easat-7589	241	15	,	,	PUNCT
easat-7589	241	16	mae	mae	PROPN
easat-7589	241	17	,	,	PUNCT
easat-7589	241	18	mape	mape	NOUN
easat-7589	241	19	,	,	PUNCT
easat-7589	241	20	𝑅2	𝑅2	ADP
easat-7589	241	21	,	,	PUNCT
easat-7589	241	22	cp	cp	NOUN
easat-7589	241	23	,	,	PUNCT
easat-7589	241	24	and	and	CCONJ
easat-7589	241	25	el	el	PROPN
easat-7589	241	26	.	.	PROPN
easat-7589	241	27	6.1	6.1	NUM
easat-7589	241	28	.	.	PUNCT
easat-7589	242	1	datasets	dataset	NOUN
easat-7589	242	2	for	for	ADP
easat-7589	242	3	benchmarking	benchmarke	VERB
easat-7589	242	4	to	to	PART
easat-7589	242	5	ensure	ensure	VERB
easat-7589	242	6	rigorous	rigorous	ADJ
easat-7589	242	7	evaluation	evaluation	NOUN
easat-7589	242	8	,	,	PUNCT
easat-7589	242	9	15	15	NUM
easat-7589	242	10	datasets	dataset	NOUN
easat-7589	242	11	spanning	span	VERB
easat-7589	242	12	various	various	ADJ
easat-7589	242	13	fields	field	NOUN
easat-7589	242	14	—	—	PUNCT
easat-7589	242	15	including	include	VERB
easat-7589	242	16	education	education	NOUN
easat-7589	242	17	,	,	PUNCT
easat-7589	242	18	healthcare	healthcare	PROPN
easat-7589	242	19	,	,	PUNCT
easat-7589	242	20	chemistry	chemistry	NOUN
easat-7589	242	21	,	,	PUNCT
easat-7589	242	22	economics	economic	NOUN
easat-7589	242	23	,	,	PUNCT
easat-7589	242	24	and	and	CCONJ
easat-7589	242	25	social	social	ADJ
easat-7589	242	26	sciences	science	NOUN
easat-7589	242	27	—	—	PUNCT
easat-7589	242	28	were	be	AUX
easat-7589	242	29	selected	select	VERB
easat-7589	242	30	.	.	PUNCT
easat-7589	243	1	these	these	DET
easat-7589	243	2	datasets	dataset	NOUN
easat-7589	243	3	substantially	substantially	ADV
easat-7589	243	4	differ	differ	VERB
easat-7589	243	5	in	in	ADP
easat-7589	243	6	sample	sample	NOUN
easat-7589	243	7	size	size	NOUN
easat-7589	243	8	(	(	PUNCT
easat-7589	243	9	n	n	CCONJ
easat-7589	243	10	)	)	PUNCT
easat-7589	243	11	,	,	PUNCT
easat-7589	243	12	feature	feature	NOUN
easat-7589	243	13	dimensionality	dimensionality	NOUN
easat-7589	243	14	(	(	PUNCT
easat-7589	243	15	𝑝	𝑝	NOUN
easat-7589	243	16	)	)	PUNCT
easat-7589	243	17	,	,	PUNCT
easat-7589	243	18	and	and	CCONJ
easat-7589	243	19	response	response	NOUN
easat-7589	243	20	variables	variable	NOUN
easat-7589	243	21	,	,	PUNCT
easat-7589	243	22	thus	thus	ADV
easat-7589	243	23	enabling	enable	VERB
easat-7589	243	24	comprehensive	comprehensive	ADJ
easat-7589	243	25	validation	validation	NOUN
easat-7589	243	26	of	of	ADP
easat-7589	243	27	the	the	DET
easat-7589	243	28	proposed	propose	VERB
easat-7589	243	29	methodology	methodology	NOUN
easat-7589	243	30	.	.	PUNCT
easat-7589	244	1	table	table	NOUN
easat-7589	244	2	1	1	NUM
easat-7589	244	3	summarizes	summarize	NOUN
easat-7589	244	4	these	these	DET
easat-7589	244	5	structured	structured	ADJ
easat-7589	244	6	datasets	dataset	NOUN
easat-7589	244	7	,	,	PUNCT
easat-7589	244	8	which	which	PRON
easat-7589	244	9	range	range	VERB
easat-7589	244	10	from	from	ADP
easat-7589	244	11	lowdimensional	lowdimensional	ADJ
easat-7589	244	12	to	to	ADP
easat-7589	244	13	high	high	ADJ
easat-7589	244	14	-	-	PUNCT
easat-7589	244	15	dimensional	dimensional	ADJ
easat-7589	244	16	settings	setting	NOUN
easat-7589	244	17	,	,	PUNCT
easat-7589	244	18	covering	cover	VERB
easat-7589	244	19	simple	simple	ADJ
easat-7589	244	20	and	and	CCONJ
easat-7589	244	21	complex	complex	ADJ
easat-7589	244	22	predictive	predictive	ADJ
easat-7589	244	23	tasks	task	NOUN
easat-7589	244	24	.	.	PUNCT
easat-7589	245	1	2758	2758	NUM
easat-7589	245	2	edelweiss	edelweiss	PROPN
easat-7589	245	3	applied	apply	VERB
easat-7589	245	4	science	science	NOUN
easat-7589	245	5	and	and	CCONJ
easat-7589	245	6	technology	technology	NOUN
easat-7589	245	7	issn	issn	PROPN
easat-7589	245	8	:	:	PUNCT
easat-7589	245	9	2576	2576	NUM
easat-7589	245	10	-	-	SYM
easat-7589	245	11	8484	8484	NUM
easat-7589	245	12	vol	vol	NOUN
easat-7589	245	13	.	.	PROPN
easat-7589	246	1	9	9	NUM
easat-7589	246	2	,	,	PUNCT
easat-7589	246	3	no	no	INTJ
easat-7589	246	4	.	.	NOUN
easat-7589	246	5	5	5	NUM
easat-7589	246	6	:	:	PUNCT
easat-7589	246	7	2750	2750	NUM
easat-7589	246	8	-	-	SYM
easat-7589	246	9	2764	2764	NUM
easat-7589	246	10	,	,	PUNCT
easat-7589	246	11	2025	2025	NUM
easat-7589	246	12	doi	doi	NOUN
easat-7589	246	13	:	:	PUNCT
easat-7589	246	14	10.55214/25768484.v9i5.7589	10.55214/25768484.v9i5.7589	NUM
easat-7589	246	15	©	©	PROPN
easat-7589	246	16	2025	2025	NUM
easat-7589	246	17	by	by	ADP
easat-7589	246	18	the	the	DET
easat-7589	246	19	authors	author	NOUN
easat-7589	246	20	;	;	PUNCT
easat-7589	246	21	licensee	licensee	PROPN
easat-7589	246	22	learning	learn	VERB
easat-7589	246	23	gate	gate	NOUN
easat-7589	246	24	table	table	NOUN
easat-7589	246	25	1	1	NUM
easat-7589	246	26	.	.	PUNCT
easat-7589	247	1	summary	summary	NOUN
easat-7589	247	2	of	of	ADP
easat-7589	247	3	datasets	dataset	NOUN
easat-7589	247	4	used	use	VERB
easat-7589	247	5	for	for	ADP
easat-7589	247	6	benchmarking	benchmarke	VERB
easat-7589	247	7	.	.	PUNCT
easat-7589	248	1	datasets	dataset	NOUN
easat-7589	248	2	n	n	CCONJ
easat-7589	248	3	p	p	NOUN
easat-7589	248	4	responses	response	NOUN
easat-7589	248	5	student	student	NOUN
easat-7589	248	6	performance	performance	NOUN
easat-7589	248	7	(	(	PUNCT
easat-7589	248	8	math	math	NOUN
easat-7589	248	9	)	)	PUNCT
easat-7589	248	10	cortez	cortez	NOUN
easat-7589	249	1	[	[	X
easat-7589	249	2	47	47	NUM
easat-7589	249	3	]	]	SYM
easat-7589	249	4	395	395	NUM
easat-7589	249	5	42	42	NUM
easat-7589	249	6	math	math	NOUN
easat-7589	249	7	scores	score	NOUN
easat-7589	249	8	student	student	NOUN
easat-7589	249	9	performance	performance	NOUN
easat-7589	249	10	(	(	PUNCT
easat-7589	249	11	por	por	NOUN
easat-7589	249	12	)	)	PUNCT
easat-7589	249	13	cortez	cortez	NOUN
easat-7589	250	1	[	[	X
easat-7589	250	2	47	47	NUM
easat-7589	250	3	]	]	SYM
easat-7589	250	4	649	649	NUM
easat-7589	250	5	30	30	NUM
easat-7589	250	6	portuguese	portuguese	ADJ
easat-7589	250	7	scores	score	NOUN
easat-7589	250	8	wisconsin	wisconsin	PROPN
easat-7589	250	9	prognostic	prognostic	PROPN
easat-7589	250	10	breast	breast	NOUN
easat-7589	250	11	cancer	cancer	NOUN
easat-7589	250	12	(	(	PUNCT
easat-7589	250	13	cancer	cancer	NOUN
easat-7589	250	14	)	)	PUNCT
easat-7589	250	15	wolberg	wolberg	NOUN
easat-7589	250	16	,	,	PUNCT
easat-7589	250	17	et	et	PROPN
easat-7589	250	18	al	al	PROPN
easat-7589	250	19	.	.	PUNCT
easat-7589	251	1	[	[	X
easat-7589	251	2	48	48	NUM
easat-7589	251	3	]	]	SYM
easat-7589	251	4	198	198	NUM
easat-7589	251	5	34	34	NUM
easat-7589	251	6	recurrence	recurrence	NOUN
easat-7589	251	7	time	time	NOUN
easat-7589	251	8	polycyclic	polycyclic	NOUN
easat-7589	251	9	aromatic	aromatic	ADJ
easat-7589	251	10	hydrocarbon	hydrocarbon	NOUN
easat-7589	251	11	(	(	PUNCT
easat-7589	251	12	pah)todeschini	pah)todeschini	PROPN
easat-7589	251	13	,	,	PUNCT
easat-7589	251	14	et	et	PROPN
easat-7589	251	15	al	al	PROPN
easat-7589	251	16	.	.	PUNCT
easat-7589	252	1	[	[	X
easat-7589	252	2	49	49	NUM
easat-7589	252	3	]	]	SYM
easat-7589	252	4	80	80	NUM
easat-7589	252	5	113	113	NUM
easat-7589	252	6	effectiveness	effectiveness	NOUN
easat-7589	252	7	of	of	ADP
easat-7589	252	8	pdgfh	pdgfh	ADJ
easat-7589	252	9	inhibitors	inhibitor	NOUN
easat-7589	252	10	platelet	platelet	NOUN
easat-7589	252	11	-	-	PUNCT
easat-7589	252	12	derived	derive	VERB
easat-7589	252	13	growth	growth	NOUN
easat-7589	252	14	factor	factor	NOUN
easat-7589	252	15	receptor	receptor	NOUN
easat-7589	252	16	(	(	PUNCT
easat-7589	252	17	pdfgr	pdfgr	PROPN
easat-7589	252	18	)	)	PUNCT
easat-7589	252	19	guha	guha	PROPN
easat-7589	252	20	and	and	CCONJ
easat-7589	252	21	jurs	jur	NOUN
easat-7589	252	22	[	[	X
easat-7589	252	23	50	50	NUM
easat-7589	252	24	]	]	SYM
easat-7589	252	25	79	79	NUM
easat-7589	252	26	304	304	NUM
easat-7589	252	27	ic50	ic50	PROPN
easat-7589	252	28	biological	biological	ADJ
easat-7589	252	29	activity	activity	NOUN
easat-7589	252	30	boston	boston	PROPN
easat-7589	252	31	house	house	PROPN
easat-7589	252	32	(	(	PUNCT
easat-7589	252	33	boston	boston	PROPN
easat-7589	252	34	)	)	PUNCT
easat-7589	252	35	harrison	harrison	PROPN
easat-7589	252	36	jr	jr	PROPN
easat-7589	252	37	and	and	CCONJ
easat-7589	252	38	rubinfeld	rubinfeld	VERB
easat-7589	252	39	[	[	X
easat-7589	252	40	51	51	NUM
easat-7589	252	41	]	]	SYM
easat-7589	252	42	506	506	NUM
easat-7589	252	43	16	16	NUM
easat-7589	252	44	median	median	PROPN
easat-7589	252	45	house	house	NOUN
easat-7589	252	46	value	value	NOUN
easat-7589	252	47	(	(	PUNCT
easat-7589	252	48	$	$	SYM
easat-7589	252	49	1000	1000	NUM
easat-7589	252	50	's	's	PART
easat-7589	252	51	)	)	PUNCT
easat-7589	252	52	phenethyl	phenethyl	PROPN
easat-7589	252	53	(	(	PUNCT
easat-7589	252	54	phen	phen	PROPN
easat-7589	252	55	)	)	PUNCT
easat-7589	252	56	kubinyi	kubinyi	NOUN
easat-7589	253	1	[	[	X
easat-7589	253	2	52	52	NUM
easat-7589	253	3	]	]	SYM
easat-7589	253	4	22	22	NUM
easat-7589	253	5	629	629	NUM
easat-7589	253	6	phenethyl	phenethyl	PROPN
easat-7589	253	7	derivatives	derivative	NOUN
easat-7589	253	8	tecator	tecator	NOUN
easat-7589	253	9	borggaard	borggaard	ADV
easat-7589	253	10	and	and	CCONJ
easat-7589	253	11	thodberg	thodberg	PROPN
easat-7589	253	12	[	[	X
easat-7589	253	13	53	53	NUM
easat-7589	253	14	]	]	SYM
easat-7589	253	15	240	240	NUM
easat-7589	253	16	125	125	NUM
easat-7589	253	17	fat	fat	ADJ
easat-7589	253	18	content	content	NOUN
easat-7589	253	19	of	of	ADP
easat-7589	253	20	meat	meat	NOUN
easat-7589	253	21	sample	sample	NOUN
easat-7589	253	22	fric4	fric4	PROPN
easat-7589	253	23	friedman	friedman	PROPN
easat-7589	253	24	[	[	X
easat-7589	253	25	54	54	NUM
easat-7589	253	26	]	]	SYM
easat-7589	253	27	1,000	1,000	NUM
easat-7589	253	28	100	100	NUM
easat-7589	253	29	artificially	artificially	ADV
easat-7589	253	30	generated	generate	VERB
easat-7589	253	31	model	model	NOUN
easat-7589	253	32	responses	response	NOUN
easat-7589	253	33	happiness	happiness	NOUN
easat-7589	253	34	rank	rank	NOUN
easat-7589	253	35	(	(	PUNCT
easat-7589	253	36	happy	happy	ADJ
easat-7589	253	37	)	)	PUNCT
easat-7589	253	38	helliwell	helliwell	NOUN
easat-7589	253	39	,	,	PUNCT
easat-7589	253	40	et	et	PROPN
easat-7589	253	41	al	al	PROPN
easat-7589	253	42	.	.	PUNCT
easat-7589	254	1	[	[	X
easat-7589	254	2	55	55	NUM
easat-7589	254	3	]	]	SYM
easat-7589	254	4	235	235	NUM
easat-7589	254	5	9	9	NUM
easat-7589	254	6	happiness	happiness	NOUN
easat-7589	254	7	scores	score	NOUN
easat-7589	254	8	(	(	PUNCT
easat-7589	254	9	world	world	NOUN
easat-7589	254	10	happiness	happiness	NOUN
easat-7589	254	11	report	report	NOUN
easat-7589	254	12	)	)	PUNCT
easat-7589	254	13	auto	auto	NOUN
easat-7589	254	14	horse	horse	NOUN
easat-7589	254	15	(	(	PUNCT
easat-7589	254	16	auto	auto	NOUN
easat-7589	254	17	)	)	PUNCT
easat-7589	254	18	openml	openml	NOUN
easat-7589	254	19	.	.	PUNCT
easat-7589	255	1	datasetautohorse_fixed	datasetautohorse_fixe	VERB
easat-7589	255	2	[	[	X
easat-7589	255	3	56	56	NUM
easat-7589	255	4	]	]	SYM
easat-7589	255	5	201	201	NUM
easat-7589	255	6	69	69	NUM
easat-7589	255	7	price	price	NOUN
easat-7589	255	8	residential	residential	ADJ
easat-7589	255	9	building	building	NOUN
easat-7589	255	10	(	(	PUNCT
easat-7589	255	11	resident	resident	NOUN
easat-7589	255	12	)	)	PUNCT
easat-7589	255	13	rafiei	rafiei	PROPN
easat-7589	256	1	[	[	X
easat-7589	256	2	57	57	NUM
easat-7589	256	3	]	]	PUNCT
easat-7589	256	4	372	372	NUM
easat-7589	256	5	108	108	NUM
easat-7589	256	6	actual	actual	ADJ
easat-7589	256	7	selling	selling	NOUN
easat-7589	256	8	price	price	NOUN
easat-7589	256	9	communities	community	NOUN
easat-7589	256	10	and	and	CCONJ
easat-7589	256	11	crime	crime	NOUN
easat-7589	256	12	(	(	PUNCT
easat-7589	256	13	crime	crime	NOUN
easat-7589	256	14	)	)	PUNCT
easat-7589	256	15	redmond	redmond	PROPN
easat-7589	257	1	[	[	X
easat-7589	257	2	58	58	NUM
easat-7589	257	3	]	]	SYM
easat-7589	257	4	1,994	1,994	NUM
easat-7589	257	5	100	100	NUM
easat-7589	257	6	violent	violent	ADJ
easat-7589	257	7	crimes	crime	NOUN
easat-7589	257	8	per	per	ADP
easat-7589	257	9	100,000	100,000	NUM
easat-7589	257	10	population	population	NOUN
easat-7589	257	11	detroit	detroit	PROPN
easat-7589	257	12	fisher	fisher	PROPN
easat-7589	257	13	[	[	X
easat-7589	257	14	59	59	NUM
easat-7589	257	15	]	]	SYM
easat-7589	257	16	13	13	NUM
easat-7589	257	17	14	14	NUM
easat-7589	257	18	homicides	homicide	NOUN
easat-7589	257	19	per	per	ADP
easat-7589	257	20	100,000	100,000	NUM
easat-7589	257	21	population	population	NOUN
easat-7589	257	22	qsbr_rw1	qsbr_rw1	NOUN
easat-7589	257	23	(	(	PUNCT
easat-7589	257	24	qsbr	qsbr	NOUN
easat-7589	257	25	)	)	PUNCT
easat-7589	257	26	damborsky	damborsky	ADV
easat-7589	257	27	,	,	PUNCT
easat-7589	257	28	et	et	PROPN
easat-7589	257	29	al	al	PROPN
easat-7589	257	30	.	.	PUNCT
easat-7589	258	1	[	[	X
easat-7589	258	2	60	60	NUM
easat-7589	258	3	]	]	SYM
easat-7589	258	4	14	14	NUM
easat-7589	258	5	51	51	NUM
easat-7589	258	6	structure	structure	NOUN
easat-7589	258	7	–	–	PUNCT
easat-7589	258	8	biodegradability	biodegradability	NOUN
easat-7589	258	9	relationships	relationship	NOUN
easat-7589	258	10	6.2	6.2	NUM
easat-7589	258	11	.	.	PUNCT
easat-7589	258	12	results	result	VERB
easat-7589	258	13	the	the	DET
easat-7589	258	14	proposed	propose	VERB
easat-7589	258	15	bootstrap	bootstrap	NOUN
easat-7589	258	16	multi	multi	PROPN
easat-7589	258	17	-	-	PROPN
easat-7589	258	18	k	k	ADJ
easat-7589	258	19	knn	knn	PROPN
easat-7589	258	20	regression	regression	PROPN
easat-7589	258	21	method	method	NOUN
easat-7589	258	22	was	be	AUX
easat-7589	258	23	evaluated	evaluate	VERB
easat-7589	258	24	across	across	ADP
easat-7589	258	25	diverse	diverse	ADJ
easat-7589	258	26	datasets	dataset	NOUN
easat-7589	258	27	,	,	PUNCT
easat-7589	258	28	with	with	SCONJ
easat-7589	258	29	results	result	NOUN
easat-7589	258	30	summarized	summarize	VERB
easat-7589	258	31	in	in	ADP
easat-7589	258	32	figures	figure	NOUN
easat-7589	258	33	2–7	2–7	PROPN
easat-7589	258	34	.	.	PUNCT
easat-7589	258	35	predictive	predictive	ADJ
easat-7589	258	36	accuracy	accuracy	NOUN
easat-7589	258	37	is	be	AUX
easat-7589	258	38	assessed	assess	VERB
easat-7589	258	39	through	through	ADP
easat-7589	258	40	figures	figure	NOUN
easat-7589	258	41	2–5	2–5	PROPN
easat-7589	258	42	,	,	PUNCT
easat-7589	258	43	and	and	CCONJ
easat-7589	258	44	prediction	prediction	NOUN
easat-7589	258	45	interval	interval	NOUN
easat-7589	258	46	quality	quality	NOUN
easat-7589	258	47	is	be	AUX
easat-7589	258	48	analyzed	analyze	VERB
easat-7589	258	49	in	in	ADP
easat-7589	258	50	figures	figure	NOUN
easat-7589	259	1	6–7	6–7	NUM
easat-7589	259	2	.	.	PUNCT
easat-7589	259	3	figure	figure	NOUN
easat-7589	259	4	2	2	NUM
easat-7589	259	5	.	.	PUNCT
easat-7589	259	6	min	min	PROPN
easat-7589	259	7	-	-	PUNCT
easat-7589	259	8	max	max	PROPN
easat-7589	259	9	scaled	scale	VERB
easat-7589	259	10	rmse	rmse	PROPN
easat-7589	259	11	comparison	comparison	NOUN
easat-7589	259	12	across	across	ADP
easat-7589	259	13	datasets	dataset	NOUN
easat-7589	259	14	.	.	PUNCT
easat-7589	260	1	for	for	ADP
easat-7589	260	2	high	high	ADJ
easat-7589	260	3	-	-	PUNCT
easat-7589	260	4	dimensional	dimensional	ADJ
easat-7589	260	5	datasets	dataset	NOUN
easat-7589	260	6	,	,	PUNCT
easat-7589	260	7	only	only	ADV
easat-7589	260	8	the	the	DET
easat-7589	260	9	proposed	propose	VERB
easat-7589	260	10	knn	knn	PROPN
easat-7589	260	11	method	method	PROPN
easat-7589	260	12	is	be	AUX
easat-7589	260	13	applicable	applicable	ADJ
easat-7589	260	14	.	.	PUNCT
easat-7589	261	1	2759	2759	NUM
easat-7589	261	2	edelweiss	edelweiss	PROPN
easat-7589	261	3	applied	apply	VERB
easat-7589	261	4	science	science	NOUN
easat-7589	261	5	and	and	CCONJ
easat-7589	261	6	technology	technology	NOUN
easat-7589	261	7	issn	issn	PROPN
easat-7589	261	8	:	:	PUNCT
easat-7589	261	9	2576	2576	NUM
easat-7589	261	10	-	-	SYM
easat-7589	261	11	8484	8484	NUM
easat-7589	261	12	vol	vol	NOUN
easat-7589	261	13	.	.	PROPN
easat-7589	262	1	9	9	NUM
easat-7589	262	2	,	,	PUNCT
easat-7589	262	3	no	no	INTJ
easat-7589	262	4	.	.	NOUN
easat-7589	262	5	5	5	NUM
easat-7589	262	6	:	:	PUNCT
easat-7589	262	7	2750	2750	NUM
easat-7589	262	8	-	-	SYM
easat-7589	262	9	2764	2764	NUM
easat-7589	262	10	,	,	PUNCT
easat-7589	262	11	2025	2025	NUM
easat-7589	262	12	doi	doi	NOUN
easat-7589	262	13	:	:	PUNCT
easat-7589	262	14	10.55214/25768484.v9i5.7589	10.55214/25768484.v9i5.7589	NUM
easat-7589	262	15	©	©	PROPN
easat-7589	262	16	2025	2025	NUM
easat-7589	262	17	by	by	ADP
easat-7589	262	18	the	the	DET
easat-7589	262	19	authors	author	NOUN
easat-7589	262	20	;	;	PUNCT
easat-7589	262	21	licensee	licensee	PROPN
easat-7589	262	22	learning	learn	VERB
easat-7589	262	23	gate	gate	PROPN
easat-7589	262	24	figure	figure	NOUN
easat-7589	262	25	3	3	NUM
easat-7589	262	26	.	.	PUNCT
easat-7589	262	27	min	min	PROPN
easat-7589	262	28	-	-	PUNCT
easat-7589	262	29	max	max	PROPN
easat-7589	262	30	scaled	scale	VERB
easat-7589	262	31	rmse	rmse	PROPN
easat-7589	262	32	comparison	comparison	NOUN
easat-7589	262	33	across	across	ADP
easat-7589	262	34	datasets	dataset	NOUN
easat-7589	262	35	.	.	PUNCT
easat-7589	263	1	figure	figure	VERB
easat-7589	263	2	4	4	NUM
easat-7589	263	3	.	.	PUNCT
easat-7589	263	4	min	min	PROPN
easat-7589	263	5	-	-	PUNCT
easat-7589	263	6	max	max	PROPN
easat-7589	263	7	scaled	scale	VERB
easat-7589	263	8	mae	mae	PROPN
easat-7589	263	9	comparison	comparison	NOUN
easat-7589	263	10	across	across	ADP
easat-7589	263	11	datasets	dataset	NOUN
easat-7589	263	12	.	.	PUNCT
easat-7589	264	1	for	for	ADP
easat-7589	264	2	low	low	ADJ
easat-7589	264	3	-	-	PUNCT
easat-7589	264	4	dimensional	dimensional	ADJ
easat-7589	264	5	datasets	dataset	NOUN
easat-7589	264	6	(	(	PUNCT
easat-7589	264	7	where	where	SCONJ
easat-7589	264	8	n	n	DET
easat-7589	264	9	p	p	PROPN
easat-7589	264	10	)	)	PUNCT
easat-7589	264	11	,	,	PUNCT
easat-7589	264	12	results	result	VERB
easat-7589	264	13	for	for	SCONJ
easat-7589	264	14	both	both	CCONJ
easat-7589	264	15	the	the	DET
easat-7589	264	16	proposed	propose	VERB
easat-7589	264	17	knn	knn	PROPN
easat-7589	264	18	and	and	CCONJ
easat-7589	264	19	regression	regression	NOUN
easat-7589	264	20	methods	method	NOUN
easat-7589	264	21	are	be	AUX
easat-7589	264	22	presented	present	VERB
easat-7589	264	23	.	.	PUNCT
easat-7589	265	1	overall	overall	ADV
easat-7589	265	2	,	,	PUNCT
easat-7589	265	3	both	both	DET
easat-7589	265	4	methods	method	NOUN
easat-7589	265	5	show	show	VERB
easat-7589	265	6	competitive	competitive	ADJ
easat-7589	265	7	performance	performance	NOUN
easat-7589	265	8	,	,	PUNCT
easat-7589	265	9	though	though	SCONJ
easat-7589	265	10	the	the	DET
easat-7589	265	11	proposed	propose	VERB
easat-7589	265	12	knn	knn	PROPN
easat-7589	265	13	consistently	consistently	ADV
easat-7589	265	14	yields	yield	VERB
easat-7589	265	15	lower	low	ADJ
easat-7589	265	16	rmse	rmse	PROPN
easat-7589	265	17	and	and	CCONJ
easat-7589	265	18	mae	mae	PROPN
easat-7589	265	19	in	in	ADP
easat-7589	265	20	several	several	ADJ
easat-7589	265	21	cases	case	NOUN
easat-7589	265	22	(	(	PUNCT
easat-7589	265	23	e.g.	e.g.	ADV
easat-7589	265	24	,	,	PUNCT
easat-7589	265	25	math	math	NOUN
easat-7589	265	26	,	,	PUNCT
easat-7589	265	27	boston	boston	PROPN
easat-7589	265	28	,	,	PUNCT
easat-7589	265	29	happy	happy	ADJ
easat-7589	265	30	,	,	PUNCT
easat-7589	265	31	and	and	CCONJ
easat-7589	265	32	resident	resident	NOUN
easat-7589	265	33	)	)	PUNCT
easat-7589	265	34	,	,	PUNCT
easat-7589	265	35	indicating	indicate	VERB
easat-7589	265	36	robust	robust	ADJ
easat-7589	265	37	predictive	predictive	ADJ
easat-7589	265	38	accuracy	accuracy	NOUN
easat-7589	265	39	,	,	PUNCT
easat-7589	265	40	especially	especially	ADV
easat-7589	265	41	when	when	SCONJ
easat-7589	265	42	modeling	model	VERB
easat-7589	265	43	complex	complex	ADJ
easat-7589	265	44	relationships	relationship	NOUN
easat-7589	265	45	.	.	PUNCT
easat-7589	266	1	figure	figure	VERB
easat-7589	266	2	5	5	NUM
easat-7589	266	3	highlights	highlight	NOUN
easat-7589	266	4	the	the	DET
easat-7589	266	5	strength	strength	NOUN
easat-7589	266	6	of	of	ADP
easat-7589	266	7	the	the	DET
easat-7589	266	8	proposed	propose	VERB
easat-7589	266	9	knn	knn	PROPN
easat-7589	266	10	in	in	ADP
easat-7589	266	11	providing	provide	VERB
easat-7589	266	12	superior	superior	ADJ
easat-7589	266	13	explanatory	explanatory	ADJ
easat-7589	266	14	power	power	NOUN
easat-7589	266	15	(	(	PUNCT
easat-7589	266	16	higher	high	ADJ
easat-7589	266	17	r2	r2	NOUN
easat-7589	266	18	)	)	PUNCT
easat-7589	266	19	compared	compare	VERB
easat-7589	266	20	to	to	ADP
easat-7589	266	21	regression	regression	NOUN
easat-7589	266	22	,	,	PUNCT
easat-7589	266	23	particularly	particularly	ADV
easat-7589	266	24	in	in	ADP
easat-7589	266	25	non	non	ADJ
easat-7589	266	26	-	-	ADJ
easat-7589	266	27	linear	linear	ADJ
easat-7589	266	28	scenarios	scenario	NOUN
easat-7589	266	29	such	such	ADJ
easat-7589	266	30	as	as	ADP
easat-7589	266	31	auto	auto	NOUN
easat-7589	266	32	and	and	CCONJ
easat-7589	266	33	crime	crime	NOUN
easat-7589	266	34	.	.	PUNCT
easat-7589	267	1	in	in	ADP
easat-7589	267	2	high	high	ADJ
easat-7589	267	3	-	-	PUNCT
easat-7589	267	4	dimensional	dimensional	ADJ
easat-7589	267	5	settings	setting	NOUN
easat-7589	267	6	(	(	PUNCT
easat-7589	267	7	pah	pah	PROPN
easat-7589	267	8	,	,	PUNCT
easat-7589	267	9	pdfgr	pdfgr	PROPN
easat-7589	267	10	,	,	PUNCT
easat-7589	267	11	phen	phen	PROPN
easat-7589	267	12	,	,	PUNCT
easat-7589	267	13	detroit	detroit	PROPN
easat-7589	267	14	,	,	PUNCT
easat-7589	267	15	and	and	CCONJ
easat-7589	267	16	qsbr	qsbr	NOUN
easat-7589	267	17	)	)	PUNCT
easat-7589	267	18	,	,	PUNCT
easat-7589	267	19	where	where	SCONJ
easat-7589	267	20	traditional	traditional	ADJ
easat-7589	267	21	regression	regression	NOUN
easat-7589	267	22	fails	fail	VERB
easat-7589	267	23	due	due	ADP
easat-7589	267	24	to	to	ADP
easat-7589	267	25	the	the	DET
easat-7589	267	26	number	number	NOUN
easat-7589	267	27	of	of	ADP
easat-7589	267	28	predictors	predictor	NOUN
easat-7589	267	29	exceeding	exceed	VERB
easat-7589	267	30	observations	observation	NOUN
easat-7589	267	31	,	,	PUNCT
easat-7589	267	32	only	only	ADV
easat-7589	267	33	the	the	DET
easat-7589	267	34	proposed	propose	VERB
easat-7589	267	35	knn	knn	PROPN
easat-7589	267	36	results	result	NOUN
easat-7589	267	37	are	be	AUX
easat-7589	267	38	presented	present	VERB
easat-7589	267	39	.	.	PUNCT
easat-7589	268	1	despite	despite	SCONJ
easat-7589	268	2	the	the	DET
easat-7589	268	3	absence	absence	NOUN
easat-7589	268	4	of	of	ADP
easat-7589	268	5	regression	regression	NOUN
easat-7589	268	6	results	result	NOUN
easat-7589	268	7	for	for	ADP
easat-7589	268	8	comparison	comparison	NOUN
easat-7589	268	9	,	,	PUNCT
easat-7589	268	10	knn	knn	PROPN
easat-7589	268	11	achieves	achieve	VERB
easat-7589	268	12	consistently	consistently	ADV
easat-7589	268	13	high	high	ADJ
easat-7589	268	14	predictive	predictive	ADJ
easat-7589	268	15	accuracy	accuracy	NOUN
easat-7589	268	16	(	(	PUNCT
easat-7589	268	17	r2	r2	PROPN
easat-7589	268	18	>	>	X
easat-7589	268	19	0.6	0.6	NUM
easat-7589	268	20	)	)	PUNCT
easat-7589	268	21	,	,	PUNCT
easat-7589	268	22	demonstrating	demonstrate	VERB
easat-7589	268	23	its	its	PRON
easat-7589	268	24	utility	utility	NOUN
easat-7589	268	25	and	and	CCONJ
easat-7589	268	26	robustness	robustness	NOUN
easat-7589	268	27	in	in	ADP
easat-7589	268	28	challenging	challenge	VERB
easat-7589	268	29	high	high	ADJ
easat-7589	268	30	-	-	PUNCT
easat-7589	268	31	dimensional	dimensional	ADJ
easat-7589	268	32	scenarios	scenario	NOUN
easat-7589	268	33	.	.	PUNCT
easat-7589	269	1	figure	figure	VERB
easat-7589	269	2	6	6	NUM
easat-7589	269	3	presents	present	NOUN
easat-7589	269	4	cp	cp	NUM
easat-7589	269	5	comparisons	comparison	NOUN
easat-7589	269	6	.	.	PUNCT
easat-7589	270	1	regression	regression	NOUN
easat-7589	270	2	generally	generally	ADV
easat-7589	270	3	achieves	achieve	VERB
easat-7589	270	4	higher	high	ADJ
easat-7589	270	5	cp	cp	NOUN
easat-7589	270	6	,	,	PUNCT
easat-7589	270	7	especially	especially	ADV
easat-7589	270	8	in	in	ADP
easat-7589	270	9	datasets	dataset	NOUN
easat-7589	270	10	like	like	ADP
easat-7589	270	11	cancer	cancer	NOUN
easat-7589	270	12	,	,	PUNCT
easat-7589	270	13	tecator	tecator	NOUN
easat-7589	270	14	,	,	PUNCT
easat-7589	270	15	resident	resident	NOUN
easat-7589	270	16	,	,	PUNCT
easat-7589	270	17	and	and	CCONJ
easat-7589	270	18	crime	crime	NOUN
easat-7589	270	19	,	,	PUNCT
easat-7589	270	20	due	due	ADP
easat-7589	270	21	to	to	ADP
easat-7589	270	22	excessively	excessively	ADV
easat-7589	270	23	wide	wide	ADJ
easat-7589	270	24	intervals	interval	NOUN
easat-7589	270	25	.	.	PUNCT
easat-7589	271	1	conversely	conversely	ADV
easat-7589	271	2	,	,	PUNCT
easat-7589	271	3	the	the	DET
easat-7589	271	4	proposed	propose	VERB
easat-7589	271	5	knn	knn	PROPN
easat-7589	271	6	maintains	maintain	VERB
easat-7589	271	7	tighter	tight	ADJ
easat-7589	271	8	intervals	interval	NOUN
easat-7589	271	9	,	,	PUNCT
easat-7589	271	10	resulting	result	VERB
easat-7589	271	11	in	in	ADP
easat-7589	271	12	lower	low	ADJ
easat-7589	271	13	cp	cp	NOUN
easat-7589	271	14	for	for	ADP
easat-7589	271	15	some	some	DET
easat-7589	271	16	cases	case	NOUN
easat-7589	271	17	(	(	PUNCT
easat-7589	271	18	phen	phen	PROPN
easat-7589	271	19	,	,	PUNCT
easat-7589	271	20	2760	2760	NUM
easat-7589	271	21	edelweiss	edelweiss	PROPN
easat-7589	271	22	applied	apply	VERB
easat-7589	271	23	science	science	NOUN
easat-7589	271	24	and	and	CCONJ
easat-7589	271	25	technology	technology	NOUN
easat-7589	271	26	issn	issn	PROPN
easat-7589	271	27	:	:	PUNCT
easat-7589	271	28	2576	2576	NUM
easat-7589	271	29	-	-	SYM
easat-7589	271	30	8484	8484	NUM
easat-7589	271	31	vol	vol	NOUN
easat-7589	271	32	.	.	PROPN
easat-7589	272	1	9	9	NUM
easat-7589	272	2	,	,	PUNCT
easat-7589	272	3	no	no	INTJ
easat-7589	272	4	.	.	NOUN
easat-7589	272	5	5	5	NUM
easat-7589	272	6	:	:	PUNCT
easat-7589	272	7	2750	2750	NUM
easat-7589	272	8	-	-	SYM
easat-7589	272	9	2764	2764	NUM
easat-7589	272	10	,	,	PUNCT
easat-7589	272	11	2025	2025	NUM
easat-7589	272	12	doi	doi	NOUN
easat-7589	272	13	:	:	PUNCT
easat-7589	272	14	10.55214/25768484.v9i5.7589	10.55214/25768484.v9i5.7589	NUM
easat-7589	272	15	©	©	PROPN
easat-7589	272	16	2025	2025	NUM
easat-7589	272	17	by	by	ADP
easat-7589	272	18	the	the	DET
easat-7589	272	19	authors	author	NOUN
easat-7589	272	20	;	;	PUNCT
easat-7589	272	21	licensee	licensee	PROPN
easat-7589	272	22	learning	learn	VERB
easat-7589	272	23	gate	gate	PROPN
easat-7589	272	24	tecator	tecator	PROPN
easat-7589	272	25	)	)	PUNCT
easat-7589	272	26	.	.	PUNCT
easat-7589	273	1	notably	notably	ADV
easat-7589	273	2	,	,	PUNCT
easat-7589	273	3	for	for	ADP
easat-7589	273	4	datasets	dataset	NOUN
easat-7589	273	5	such	such	ADJ
easat-7589	273	6	as	as	ADP
easat-7589	273	7	boston	boston	PROPN
easat-7589	273	8	and	and	CCONJ
easat-7589	273	9	happy	happy	ADJ
easat-7589	273	10	,	,	PUNCT
easat-7589	273	11	the	the	DET
easat-7589	273	12	proposed	propose	VERB
easat-7589	273	13	knn	knn	PROPN
easat-7589	273	14	intervals	interval	NOUN
easat-7589	273	15	provide	provide	VERB
easat-7589	273	16	higher	high	ADJ
easat-7589	273	17	or	or	CCONJ
easat-7589	273	18	comparable	comparable	ADJ
easat-7589	273	19	cp	cp	NOUN
easat-7589	273	20	,	,	PUNCT
easat-7589	273	21	indicating	indicate	VERB
easat-7589	273	22	scenarios	scenario	NOUN
easat-7589	273	23	where	where	SCONJ
easat-7589	273	24	regression	regression	NOUN
easat-7589	273	25	intervals	interval	NOUN
easat-7589	273	26	may	may	AUX
easat-7589	273	27	be	be	AUX
easat-7589	273	28	overly	overly	ADV
easat-7589	273	29	conservative	conservative	ADJ
easat-7589	273	30	or	or	CCONJ
easat-7589	273	31	unnecessarily	unnecessarily	ADV
easat-7589	273	32	wide	wide	ADJ
easat-7589	273	33	.	.	PUNCT
easat-7589	274	1	figure	figure	NOUN
easat-7589	274	2	5	5	NUM
easat-7589	274	3	.	.	PUNCT
easat-7589	274	4	min	min	PROPN
easat-7589	274	5	-	-	PUNCT
easat-7589	274	6	max	max	NOUN
easat-7589	274	7	scaled	scale	VERB
easat-7589	274	8	r2	r2	PROPN
easat-7589	274	9	comparison	comparison	NOUN
easat-7589	274	10	across	across	ADP
easat-7589	274	11	datasets	dataset	NOUN
easat-7589	274	12	.	.	PUNCT
easat-7589	275	1	for	for	ADP
easat-7589	275	2	high	high	ADJ
easat-7589	275	3	-	-	PUNCT
easat-7589	275	4	dimensional	dimensional	ADJ
easat-7589	275	5	datasets	dataset	NOUN
easat-7589	275	6	,	,	PUNCT
easat-7589	275	7	only	only	ADV
easat-7589	275	8	the	the	DET
easat-7589	275	9	proposed	propose	VERB
easat-7589	275	10	knn	knn	PROPN
easat-7589	275	11	method	method	PROPN
easat-7589	275	12	is	be	AUX
easat-7589	275	13	applicable	applicable	ADJ
easat-7589	275	14	.	.	PUNCT
easat-7589	276	1	figure	figure	VERB
easat-7589	276	2	6	6	NUM
easat-7589	276	3	.	.	PUNCT
easat-7589	277	1	coverage	coverage	NOUN
easat-7589	277	2	probability	probability	NOUN
easat-7589	277	3	comparison	comparison	NOUN
easat-7589	277	4	across	across	ADP
easat-7589	277	5	datasets	dataset	NOUN
easat-7589	277	6	.	.	PUNCT
easat-7589	278	1	2761	2761	NUM
easat-7589	278	2	edelweiss	edelweiss	PROPN
easat-7589	278	3	applied	apply	VERB
easat-7589	278	4	science	science	NOUN
easat-7589	278	5	and	and	CCONJ
easat-7589	278	6	technology	technology	NOUN
easat-7589	278	7	issn	issn	PROPN
easat-7589	278	8	:	:	PUNCT
easat-7589	278	9	2576	2576	NUM
easat-7589	278	10	-	-	SYM
easat-7589	278	11	8484	8484	NUM
easat-7589	278	12	vol	vol	NOUN
easat-7589	278	13	.	.	PROPN
easat-7589	279	1	9	9	NUM
easat-7589	279	2	,	,	PUNCT
easat-7589	279	3	no	no	INTJ
easat-7589	279	4	.	.	NOUN
easat-7589	279	5	5	5	NUM
easat-7589	279	6	:	:	PUNCT
easat-7589	279	7	2750	2750	NUM
easat-7589	279	8	-	-	SYM
easat-7589	279	9	2764	2764	NUM
easat-7589	279	10	,	,	PUNCT
easat-7589	279	11	2025	2025	NUM
easat-7589	279	12	doi	doi	NOUN
easat-7589	279	13	:	:	PUNCT
easat-7589	279	14	10.55214/25768484.v9i5.7589	10.55214/25768484.v9i5.7589	NUM
easat-7589	279	15	©	©	PROPN
easat-7589	279	16	2025	2025	NUM
easat-7589	279	17	by	by	ADP
easat-7589	279	18	the	the	DET
easat-7589	279	19	authors	author	NOUN
easat-7589	279	20	;	;	PUNCT
easat-7589	279	21	licensee	licensee	PROPN
easat-7589	279	22	learning	learn	VERB
easat-7589	279	23	gate	gate	NOUN
easat-7589	279	24	figure	figure	NOUN
easat-7589	279	25	7	7	NUM
easat-7589	279	26	.	.	PUNCT
easat-7589	279	27	log	log	NOUN
easat-7589	279	28	-	-	PUNCT
easat-7589	279	29	transformed	transform	VERB
easat-7589	279	30	expected	expect	VERB
easat-7589	279	31	length	length	NOUN
easat-7589	279	32	comparison	comparison	NOUN
easat-7589	279	33	.	.	PUNCT
easat-7589	280	1	the	the	DET
easat-7589	280	2	log	log	NOUN
easat-7589	280	3	-	-	PUNCT
easat-7589	280	4	transformed	transform	VERB
easat-7589	280	5	el	el	PROPN
easat-7589	280	6	results	result	NOUN
easat-7589	280	7	in	in	ADP
easat-7589	280	8	figure	figure	NOUN
easat-7589	280	9	7	7	NUM
easat-7589	280	10	clarify	clarify	NOUN
easat-7589	280	11	differences	difference	NOUN
easat-7589	280	12	across	across	ADP
easat-7589	280	13	datasets	dataset	NOUN
easat-7589	280	14	with	with	ADP
easat-7589	280	15	varying	vary	VERB
easat-7589	280	16	interval	interval	NOUN
easat-7589	280	17	widths	width	NOUN
easat-7589	280	18	.	.	PUNCT
easat-7589	281	1	regression	regression	NOUN
easat-7589	281	2	intervals	interval	NOUN
easat-7589	281	3	consistently	consistently	ADV
easat-7589	281	4	exhibit	exhibit	VERB
easat-7589	281	5	larger	large	ADJ
easat-7589	281	6	el	el	PROPN
easat-7589	281	7	values	value	NOUN
easat-7589	281	8	across	across	ADP
easat-7589	281	9	datasets	dataset	NOUN
easat-7589	281	10	(	(	PUNCT
easat-7589	281	11	e.g.	e.g.	ADV
easat-7589	281	12	,	,	PUNCT
easat-7589	281	13	math	math	NOUN
easat-7589	281	14	,	,	PUNCT
easat-7589	281	15	fric4	fric4	PROPN
easat-7589	281	16	,	,	PUNCT
easat-7589	281	17	crime	crime	NOUN
easat-7589	281	18	,	,	PUNCT
easat-7589	281	19	cancer	cancer	NOUN
easat-7589	281	20	,	,	PUNCT
easat-7589	281	21	tecator	tecator	NOUN
easat-7589	281	22	,	,	PUNCT
easat-7589	281	23	auto	auto	NOUN
easat-7589	281	24	,	,	PUNCT
easat-7589	281	25	and	and	CCONJ
easat-7589	281	26	resident	resident	NOUN
easat-7589	281	27	)	)	PUNCT
easat-7589	281	28	.	.	PUNCT
easat-7589	282	1	by	by	ADP
easat-7589	282	2	contrast	contrast	NOUN
easat-7589	282	3	,	,	PUNCT
easat-7589	282	4	the	the	DET
easat-7589	282	5	proposed	propose	VERB
easat-7589	282	6	knn	knn	PROPN
easat-7589	282	7	consistently	consistently	ADV
easat-7589	282	8	provides	provide	VERB
easat-7589	282	9	narrower	narrow	ADJ
easat-7589	282	10	intervals	interval	NOUN
easat-7589	282	11	,	,	PUNCT
easat-7589	282	12	effectively	effectively	ADV
easat-7589	282	13	balancing	balance	VERB
easat-7589	282	14	precision	precision	NOUN
easat-7589	282	15	and	and	CCONJ
easat-7589	282	16	predictive	predictive	ADJ
easat-7589	282	17	coverage	coverage	NOUN
easat-7589	282	18	.	.	PUNCT
easat-7589	283	1	overall	overall	ADV
easat-7589	283	2	,	,	PUNCT
easat-7589	283	3	these	these	DET
easat-7589	283	4	results	result	NOUN
easat-7589	283	5	demonstrate	demonstrate	VERB
easat-7589	283	6	the	the	DET
easat-7589	283	7	methodological	methodological	ADJ
easat-7589	283	8	strength	strength	NOUN
easat-7589	283	9	of	of	ADP
easat-7589	283	10	the	the	DET
easat-7589	283	11	proposed	propose	VERB
easat-7589	283	12	multi	multi	ADJ
easat-7589	283	13	-	-	ADJ
easat-7589	283	14	k	k	ADJ
easat-7589	283	15	bootstrap	bootstrap	NOUN
easat-7589	283	16	approach	approach	NOUN
easat-7589	283	17	,	,	PUNCT
easat-7589	283	18	particularly	particularly	ADV
easat-7589	283	19	its	its	PRON
easat-7589	283	20	applicability	applicability	NOUN
easat-7589	283	21	in	in	ADP
easat-7589	283	22	high	high	ADJ
easat-7589	283	23	-	-	PUNCT
easat-7589	283	24	dimensional	dimensional	ADJ
easat-7589	283	25	contexts	context	NOUN
easat-7589	283	26	and	and	CCONJ
easat-7589	283	27	its	its	PRON
easat-7589	283	28	effectiveness	effectiveness	NOUN
easat-7589	283	29	in	in	ADP
easat-7589	283	30	providing	provide	VERB
easat-7589	283	31	compact	compact	ADJ
easat-7589	283	32	yet	yet	CCONJ
easat-7589	283	33	reliable	reliable	ADJ
easat-7589	283	34	intervals	interval	NOUN
easat-7589	283	35	,	,	PUNCT
easat-7589	283	36	offering	offer	VERB
easat-7589	283	37	valuable	valuable	ADJ
easat-7589	283	38	improvements	improvement	NOUN
easat-7589	283	39	over	over	ADP
easat-7589	283	40	traditional	traditional	ADJ
easat-7589	283	41	regression	regression	NOUN
easat-7589	283	42	-	-	PUNCT
easat-7589	283	43	based	base	VERB
easat-7589	283	44	methods	method	NOUN
easat-7589	283	45	.	.	PUNCT
easat-7589	284	1	7	7	X
easat-7589	284	2	.	.	X
easat-7589	284	3	conclusion	conclusion	NOUN
easat-7589	284	4	and	and	CCONJ
easat-7589	284	5	discussion	discussion	NOUN
easat-7589	284	6	this	this	DET
easat-7589	284	7	study	study	NOUN
easat-7589	284	8	proposed	propose	VERB
easat-7589	284	9	a	a	DET
easat-7589	284	10	novel	novel	ADJ
easat-7589	284	11	bootstrap	bootstrap	NOUN
easat-7589	284	12	-	-	PUNCT
easat-7589	284	13	based	base	VERB
easat-7589	284	14	multi	multi	ADJ
easat-7589	284	15	-	-	ADJ
easat-7589	284	16	k	k	ADJ
easat-7589	284	17	approach	approach	NOUN
easat-7589	284	18	for	for	ADP
easat-7589	284	19	constructing	construct	VERB
easat-7589	284	20	robust	robust	ADJ
easat-7589	284	21	prediction	prediction	NOUN
easat-7589	284	22	intervals	interval	NOUN
easat-7589	284	23	in	in	ADP
easat-7589	284	24	knn	knn	PROPN
easat-7589	284	25	regression	regression	PROPN
easat-7589	284	26	,	,	PUNCT
easat-7589	284	27	particularly	particularly	ADV
easat-7589	284	28	addressing	address	VERB
easat-7589	284	29	challenges	challenge	NOUN
easat-7589	284	30	posed	pose	VERB
easat-7589	284	31	by	by	ADP
easat-7589	284	32	high	high	ADJ
easat-7589	284	33	-	-	PUNCT
easat-7589	284	34	dimensional	dimensional	ADJ
easat-7589	284	35	datasets	dataset	NOUN
easat-7589	284	36	.	.	PUNCT
easat-7589	285	1	traditional	traditional	ADJ
easat-7589	285	2	regression	regression	NOUN
easat-7589	285	3	-	-	PUNCT
easat-7589	285	4	based	base	VERB
easat-7589	285	5	methods	method	NOUN
easat-7589	285	6	fail	fail	VERB
easat-7589	285	7	when	when	SCONJ
easat-7589	285	8	predictors	predictor	NOUN
easat-7589	285	9	exceed	exceed	VERB
easat-7589	285	10	observations	observation	NOUN
easat-7589	285	11	;	;	PUNCT
easat-7589	285	12	however	however	ADV
easat-7589	285	13	,	,	PUNCT
easat-7589	285	14	the	the	DET
easat-7589	285	15	proposed	propose	VERB
easat-7589	285	16	methodology	methodology	NOUN
easat-7589	285	17	remains	remain	VERB
easat-7589	285	18	effective	effective	ADJ
easat-7589	285	19	under	under	ADP
easat-7589	285	20	such	such	ADJ
easat-7589	285	21	scenarios	scenario	NOUN
easat-7589	285	22	,	,	PUNCT
easat-7589	285	23	consistently	consistently	ADV
easat-7589	285	24	achieving	achieve	VERB
easat-7589	285	25	substantial	substantial	ADJ
easat-7589	285	26	predictive	predictive	ADJ
easat-7589	285	27	accuracy	accuracy	NOUN
easat-7589	285	28	(	(	PUNCT
easat-7589	285	29	r²	r²	VERB
easat-7589	285	30	>	>	X
easat-7589	285	31	0.6	0.6	NUM
easat-7589	285	32	)	)	PUNCT
easat-7589	285	33	.	.	PUNCT
easat-7589	286	1	although	although	SCONJ
easat-7589	286	2	the	the	DET
easat-7589	286	3	proposed	propose	VERB
easat-7589	286	4	knn	knn	PROPN
easat-7589	286	5	intervals	interval	NOUN
easat-7589	286	6	often	often	ADV
easat-7589	286	7	yield	yield	VERB
easat-7589	286	8	lower	low	ADJ
easat-7589	286	9	cp	cp	NOUN
easat-7589	286	10	compared	compare	VERB
easat-7589	286	11	to	to	ADP
easat-7589	286	12	linear	linear	PROPN
easat-7589	286	13	regression	regression	NOUN
easat-7589	286	14	,	,	PUNCT
easat-7589	286	15	particularly	particularly	ADV
easat-7589	286	16	evident	evident	ADJ
easat-7589	286	17	in	in	ADP
easat-7589	286	18	datasets	dataset	NOUN
easat-7589	286	19	like	like	ADP
easat-7589	286	20	tecator	tecator	NOUN
easat-7589	286	21	and	and	CCONJ
easat-7589	286	22	phen	phen	PROPN
easat-7589	286	23	,	,	PUNCT
easat-7589	286	24	they	they	PRON
easat-7589	286	25	significantly	significantly	ADV
easat-7589	286	26	outperform	outperform	VERB
easat-7589	286	27	regression	regression	NOUN
easat-7589	286	28	in	in	ADP
easat-7589	286	29	terms	term	NOUN
easat-7589	286	30	of	of	ADP
easat-7589	286	31	el	el	PROPN
easat-7589	286	32	,	,	PUNCT
easat-7589	286	33	especially	especially	ADV
easat-7589	286	34	in	in	ADP
easat-7589	286	35	challenging	challenge	VERB
easat-7589	286	36	datasets	dataset	NOUN
easat-7589	286	37	such	such	ADJ
easat-7589	286	38	as	as	ADP
easat-7589	286	39	auto	auto	NOUN
easat-7589	286	40	,	,	PUNCT
easat-7589	286	41	resident	resident	NOUN
easat-7589	286	42	,	,	PUNCT
easat-7589	286	43	and	and	CCONJ
easat-7589	286	44	cancer	cancer	NOUN
easat-7589	286	45	.	.	PUNCT
easat-7589	287	1	this	this	DET
easat-7589	287	2	narrower	narrow	ADJ
easat-7589	287	3	interval	interval	NOUN
easat-7589	287	4	enhances	enhance	VERB
easat-7589	287	5	interpretability	interpretability	NOUN
easat-7589	287	6	and	and	CCONJ
easat-7589	287	7	practical	practical	ADJ
easat-7589	287	8	decision	decision	NOUN
easat-7589	287	9	-	-	PUNCT
easat-7589	287	10	making	make	VERB
easat-7589	287	11	utility	utility	NOUN
easat-7589	287	12	,	,	PUNCT
easat-7589	287	13	though	though	SCONJ
easat-7589	287	14	it	it	PRON
easat-7589	287	15	highlights	highlight	VERB
easat-7589	287	16	the	the	DET
easat-7589	287	17	inherent	inherent	ADJ
easat-7589	287	18	trade	trade	NOUN
easat-7589	287	19	-	-	PUNCT
easat-7589	287	20	off	off	NOUN
easat-7589	287	21	between	between	ADP
easat-7589	287	22	interval	interval	NOUN
easat-7589	287	23	tightness	tightness	NOUN
easat-7589	287	24	and	and	CCONJ
easat-7589	287	25	coverage	coverage	NOUN
easat-7589	287	26	reliability	reliability	NOUN
easat-7589	287	27	.	.	PUNCT
easat-7589	288	1	furthermore	furthermore	ADV
easat-7589	288	2	,	,	PUNCT
easat-7589	288	3	this	this	DET
easat-7589	288	4	study	study	NOUN
easat-7589	288	5	demonstrates	demonstrate	VERB
easat-7589	288	6	the	the	DET
easat-7589	288	7	methodological	methodological	ADJ
easat-7589	288	8	flexibility	flexibility	NOUN
easat-7589	288	9	of	of	ADP
easat-7589	288	10	combining	combine	VERB
easat-7589	288	11	ensemble	ensemble	ADJ
easat-7589	288	12	,	,	PUNCT
easat-7589	288	13	crossvalidation	crossvalidation	NOUN
easat-7589	288	14	,	,	PUNCT
easat-7589	288	15	and	and	CCONJ
easat-7589	288	16	bootstrap	bootstrap	NOUN
easat-7589	288	17	methods	method	NOUN
easat-7589	288	18	within	within	ADP
easat-7589	288	19	a	a	DET
easat-7589	288	20	unified	unified	ADJ
easat-7589	288	21	multi	multi	ADJ
easat-7589	288	22	-	-	ADJ
easat-7589	288	23	k	k	ADJ
easat-7589	288	24	framework	framework	NOUN
easat-7589	288	25	,	,	PUNCT
easat-7589	288	26	significantly	significantly	ADV
easat-7589	288	27	improving	improve	VERB
easat-7589	288	28	interval	interval	NOUN
easat-7589	288	29	estimation	estimation	NOUN
easat-7589	288	30	compared	compare	VERB
easat-7589	288	31	to	to	ADP
easat-7589	288	32	traditional	traditional	ADJ
easat-7589	288	33	approaches	approach	NOUN
easat-7589	288	34	.	.	PUNCT
easat-7589	289	1	future	future	ADJ
easat-7589	289	2	research	research	NOUN
easat-7589	289	3	may	may	AUX
easat-7589	289	4	explore	explore	VERB
easat-7589	289	5	adaptive	adaptive	ADJ
easat-7589	289	6	weighting	weighting	NOUN
easat-7589	289	7	or	or	CCONJ
easat-7589	289	8	feature	feature	NOUN
easat-7589	289	9	selection	selection	NOUN
easat-7589	289	10	strategies	strategy	NOUN
easat-7589	289	11	to	to	PART
easat-7589	289	12	further	far	ADV
easat-7589	289	13	optimize	optimize	VERB
easat-7589	289	14	coverage	coverage	NOUN
easat-7589	289	15	probability	probability	NOUN
easat-7589	289	16	without	without	ADP
easat-7589	289	17	substantially	substantially	ADV
easat-7589	289	18	sacrificing	sacrifice	VERB
easat-7589	289	19	interval	interval	NOUN
easat-7589	289	20	compactness	compactness	NOUN
easat-7589	289	21	.	.	PUNCT
easat-7589	290	1	extending	extend	VERB
easat-7589	290	2	this	this	DET
easat-7589	290	3	framework	framework	NOUN
easat-7589	290	4	to	to	ADP
easat-7589	290	5	other	other	ADJ
easat-7589	290	6	machine	machine	NOUN
easat-7589	290	7	learning	learn	VERB
easat-7589	290	8	methods	method	NOUN
easat-7589	290	9	and	and	CCONJ
easat-7589	290	10	evaluating	evaluate	VERB
easat-7589	290	11	its	its	PRON
easat-7589	290	12	performance	performance	NOUN
easat-7589	290	13	on	on	ADP
easat-7589	290	14	large	large	ADJ
easat-7589	290	15	-	-	PUNCT
easat-7589	290	16	scale	scale	NOUN
easat-7589	290	17	datasets	dataset	NOUN
easat-7589	290	18	may	may	AUX
easat-7589	290	19	also	also	ADV
easat-7589	290	20	provide	provide	VERB
easat-7589	290	21	valuable	valuable	ADJ
easat-7589	290	22	insights	insight	NOUN
easat-7589	290	23	for	for	ADP
easat-7589	290	24	practitioners	practitioner	NOUN
easat-7589	290	25	seeking	seek	VERB
easat-7589	290	26	reliable	reliable	ADJ
easat-7589	290	27	uncertainty	uncertainty	NOUN
easat-7589	290	28	quantification	quantification	NOUN
easat-7589	290	29	tools	tool	NOUN
easat-7589	290	30	.	.	PUNCT
easat-7589	291	1	2762	2762	NUM
easat-7589	291	2	edelweiss	edelweiss	PROPN
easat-7589	291	3	applied	apply	VERB
easat-7589	291	4	science	science	NOUN
easat-7589	291	5	and	and	CCONJ
easat-7589	291	6	technology	technology	NOUN
easat-7589	291	7	issn	issn	PROPN
easat-7589	291	8	:	:	PUNCT
easat-7589	291	9	2576	2576	NUM
easat-7589	291	10	-	-	SYM
easat-7589	291	11	8484	8484	NUM
easat-7589	291	12	vol	vol	NOUN
easat-7589	291	13	.	.	PROPN
easat-7589	292	1	9	9	NUM
easat-7589	292	2	,	,	PUNCT
easat-7589	292	3	no	no	INTJ
easat-7589	292	4	.	.	NOUN
easat-7589	292	5	5	5	NUM
easat-7589	292	6	:	:	PUNCT
easat-7589	292	7	2750	2750	NUM
easat-7589	292	8	-	-	SYM
easat-7589	292	9	2764	2764	NUM
easat-7589	292	10	,	,	PUNCT
easat-7589	292	11	2025	2025	NUM
easat-7589	292	12	doi	doi	NOUN
easat-7589	292	13	:	:	PUNCT
easat-7589	292	14	10.55214/25768484.v9i5.7589	10.55214/25768484.v9i5.7589	NUM
easat-7589	292	15	©	©	PROPN
easat-7589	292	16	2025	2025	NUM
easat-7589	292	17	by	by	ADP
easat-7589	292	18	the	the	DET
easat-7589	292	19	authors	author	NOUN
easat-7589	292	20	;	;	PUNCT
easat-7589	292	21	licensee	licensee	PROPN
easat-7589	292	22	learning	learn	VERB
easat-7589	292	23	gate	gate	NOUN
easat-7589	292	24	transparency	transparency	NOUN
easat-7589	292	25	:	:	PUNCT
easat-7589	292	26	the	the	DET
easat-7589	292	27	authors	author	NOUN
easat-7589	292	28	confirm	confirm	VERB
easat-7589	292	29	that	that	SCONJ
easat-7589	292	30	the	the	DET
easat-7589	292	31	manuscript	manuscript	NOUN
easat-7589	292	32	is	be	AUX
easat-7589	292	33	an	an	DET
easat-7589	292	34	honest	honest	ADJ
easat-7589	292	35	,	,	PUNCT
easat-7589	292	36	accurate	accurate	ADJ
easat-7589	292	37	,	,	PUNCT
easat-7589	292	38	and	and	CCONJ
easat-7589	292	39	transparent	transparent	ADJ
easat-7589	292	40	account	account	NOUN
easat-7589	292	41	of	of	ADP
easat-7589	292	42	the	the	DET
easat-7589	292	43	study	study	NOUN
easat-7589	292	44	;	;	PUNCT
easat-7589	292	45	that	that	SCONJ
easat-7589	292	46	no	no	DET
easat-7589	292	47	vital	vital	ADJ
easat-7589	292	48	features	feature	NOUN
easat-7589	292	49	of	of	ADP
easat-7589	292	50	the	the	DET
easat-7589	292	51	study	study	NOUN
easat-7589	292	52	have	have	AUX
easat-7589	292	53	been	be	AUX
easat-7589	292	54	omitted	omit	VERB
easat-7589	292	55	;	;	PUNCT
easat-7589	292	56	and	and	CCONJ
easat-7589	292	57	that	that	SCONJ
easat-7589	292	58	any	any	DET
easat-7589	292	59	discrepancies	discrepancy	NOUN
easat-7589	292	60	from	from	ADP
easat-7589	292	61	the	the	DET
easat-7589	292	62	study	study	NOUN
easat-7589	292	63	as	as	SCONJ
easat-7589	292	64	planned	plan	VERB
easat-7589	292	65	have	have	AUX
easat-7589	292	66	been	be	AUX
easat-7589	292	67	explained	explain	VERB
easat-7589	292	68	.	.	PUNCT
easat-7589	293	1	this	this	DET
easat-7589	293	2	study	study	NOUN
easat-7589	293	3	followed	follow	VERB
easat-7589	293	4	all	all	DET
easat-7589	293	5	ethical	ethical	ADJ
easat-7589	293	6	practices	practice	NOUN
easat-7589	293	7	during	during	ADP
easat-7589	293	8	writing	writing	NOUN
easat-7589	293	9	.	.	PUNCT
easat-7589	294	1	copyright	copyright	NOUN
easat-7589	294	2	:	:	PUNCT
easat-7589	294	3	©	©	PROPN
easat-7589	294	4	2025	2025	NUM
easat-7589	294	5	by	by	ADP
easat-7589	294	6	the	the	DET
easat-7589	294	7	authors	author	NOUN
easat-7589	294	8	.	.	PUNCT
easat-7589	295	1	this	this	DET
easat-7589	295	2	open	open	ADJ
easat-7589	295	3	-	-	PUNCT
easat-7589	295	4	access	access	NOUN
easat-7589	295	5	article	article	NOUN
easat-7589	295	6	is	be	AUX
easat-7589	295	7	distributed	distribute	VERB
easat-7589	295	8	under	under	ADP
easat-7589	295	9	the	the	DET
easat-7589	295	10	terms	term	NOUN
easat-7589	295	11	and	and	CCONJ
easat-7589	295	12	conditions	condition	NOUN
easat-7589	295	13	of	of	ADP
easat-7589	295	14	the	the	DET
easat-7589	295	15	creative	creative	ADJ
easat-7589	295	16	commons	common	NOUN
easat-7589	295	17	attribution	attribution	NOUN
easat-7589	295	18	(	(	PUNCT
easat-7589	295	19	cc	cc	NOUN
easat-7589	295	20	by	by	ADP
easat-7589	295	21	)	)	PUNCT
easat-7589	295	22	license	license	NOUN
easat-7589	295	23	(	(	PUNCT
easat-7589	295	24	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-7589	295	25	)	)	PUNCT
easat-7589	295	26	.	.	PUNCT
easat-7589	296	1	references	reference	NOUN
easat-7589	296	2	[	[	X
easat-7589	296	3	1	1	NUM
easat-7589	296	4	]	]	PUNCT
easat-7589	296	5	p.	p.	PROPN
easat-7589	296	6	d.	d.	PROPN
easat-7589	296	7	easton	easton	PROPN
easat-7589	296	8	,	,	PUNCT
easat-7589	296	9	m.	m.	NOUN
easat-7589	296	10	m.	m.	NOUN
easat-7589	296	11	kapons	kapons	PROPN
easat-7589	296	12	,	,	PUNCT
easat-7589	296	13	s.	s.	PROPN
easat-7589	296	14	j.	j.	PROPN
easat-7589	296	15	monahan	monahan	PROPN
easat-7589	296	16	,	,	PUNCT
easat-7589	296	17	h.	h.	PROPN
easat-7589	296	18	h.	h.	PROPN
easat-7589	296	19	schütt	schütt	PROPN
easat-7589	296	20	,	,	PUNCT
easat-7589	296	21	and	and	CCONJ
easat-7589	296	22	e.	e.	PROPN
easat-7589	296	23	h.	h.	PROPN
easat-7589	296	24	weisbrod	weisbrod	PROPN
easat-7589	296	25	,	,	PUNCT
easat-7589	296	26	"	"	PUNCT
easat-7589	296	27	forecasting	forecast	VERB
easat-7589	296	28	earnings	earning	NOUN
easat-7589	296	29	using	use	VERB
easat-7589	296	30	k	k	ADJ
easat-7589	296	31	-	-	PUNCT
easat-7589	296	32	nearest	near	ADJ
easat-7589	296	33	neighbors	neighbor	NOUN
easat-7589	296	34	,	,	PUNCT
easat-7589	296	35	"	"	PUNCT
easat-7589	296	36	the	the	DET
easat-7589	296	37	accounting	accounting	NOUN
easat-7589	296	38	review	review	NOUN
easat-7589	296	39	,	,	PUNCT
easat-7589	296	40	vol	vol	NOUN
easat-7589	296	41	.	.	PROPN
easat-7589	296	42	99	99	NUM
easat-7589	296	43	,	,	PUNCT
easat-7589	296	44	no	no	INTJ
easat-7589	296	45	.	.	NOUN
easat-7589	296	46	3	3	NUM
easat-7589	296	47	,	,	PUNCT
easat-7589	296	48	pp	pp	ADJ
easat-7589	296	49	.	.	PUNCT
easat-7589	297	1	115	115	NUM
easat-7589	297	2	-	-	SYM
easat-7589	297	3	140	140	NUM
easat-7589	297	4	,	,	PUNCT
easat-7589	297	5	2024	2024	NUM
easat-7589	297	6	.	.	PUNCT
easat-7589	298	1	https://doi.org/10.2308/tar-2021-0478	https://doi.org/10.2308/tar-2021-0478	X
easat-7589	299	1	[	[	X
easat-7589	299	2	2	2	NUM
easat-7589	299	3	]	]	PUNCT
easat-7589	299	4	k.	k.	PROPN
easat-7589	299	5	alkhatib	alkhatib	PROPN
easat-7589	299	6	,	,	PUNCT
easat-7589	299	7	h.	h.	PROPN
easat-7589	299	8	najadat	najadat	PROPN
easat-7589	299	9	,	,	PUNCT
easat-7589	299	10	i.	i.	PROPN
easat-7589	299	11	hmeidi	hmeidi	PROPN
easat-7589	299	12	,	,	PUNCT
easat-7589	299	13	and	and	CCONJ
easat-7589	299	14	m.	m.	PROPN
easat-7589	299	15	k.	k.	PROPN
easat-7589	299	16	a.	a.	PROPN
easat-7589	299	17	shatnawi	shatnawi	PROPN
easat-7589	299	18	,	,	PUNCT
easat-7589	299	19	"	"	PUNCT
easat-7589	299	20	stock	stock	NOUN
easat-7589	299	21	price	price	NOUN
easat-7589	299	22	prediction	prediction	NOUN
easat-7589	299	23	using	use	VERB
easat-7589	299	24	k	k	PROPN
easat-7589	299	25	-	-	PUNCT
easat-7589	299	26	nearest	near	ADJ
easat-7589	299	27	neighbor	neighbor	NOUN
easat-7589	299	28	(	(	PUNCT
easat-7589	299	29	knn	knn	PROPN
easat-7589	299	30	)	)	PUNCT
easat-7589	299	31	algorithm	algorithm	NOUN
easat-7589	299	32	,	,	PUNCT
easat-7589	299	33	"	"	PUNCT
easat-7589	299	34	international	international	ADJ
easat-7589	299	35	journal	journal	NOUN
easat-7589	299	36	of	of	ADP
easat-7589	299	37	business	business	NOUN
easat-7589	299	38	,	,	PUNCT
easat-7589	299	39	humanities	humanity	NOUN
easat-7589	299	40	and	and	CCONJ
easat-7589	299	41	technology	technology	NOUN
easat-7589	299	42	,	,	PUNCT
easat-7589	299	43	vol	vol	NOUN
easat-7589	299	44	.	.	PROPN
easat-7589	300	1	3	3	NUM
easat-7589	300	2	,	,	PUNCT
easat-7589	300	3	no	no	INTJ
easat-7589	300	4	.	.	NOUN
easat-7589	300	5	3	3	NUM
easat-7589	300	6	,	,	PUNCT
easat-7589	300	7	pp	pp	ADJ
easat-7589	300	8	.	.	PUNCT
easat-7589	301	1	32	32	NUM
easat-7589	301	2	-	-	SYM
easat-7589	301	3	44	44	NUM
easat-7589	301	4	,	,	PUNCT
easat-7589	301	5	2013	2013	NUM
easat-7589	301	6	.	.	PUNCT
easat-7589	302	1	[	[	X
easat-7589	302	2	3	3	X
easat-7589	302	3	]	]	PUNCT
easat-7589	302	4	k.-j	k.-j	PROPN
easat-7589	302	5	.	.	PUNCT
easat-7589	303	1	kim	kim	PROPN
easat-7589	303	2	,	,	PUNCT
easat-7589	303	3	"	"	PUNCT
easat-7589	303	4	financial	financial	ADJ
easat-7589	303	5	time	time	NOUN
easat-7589	303	6	series	series	PROPN
easat-7589	303	7	forecasting	forecasting	NOUN
easat-7589	303	8	using	use	VERB
easat-7589	303	9	support	support	NOUN
easat-7589	303	10	vector	vector	NOUN
easat-7589	303	11	machines	machine	NOUN
easat-7589	303	12	,	,	PUNCT
easat-7589	303	13	"	"	PUNCT
easat-7589	303	14	neurocomputing	neurocomputing	NOUN
easat-7589	303	15	,	,	PUNCT
easat-7589	303	16	vol	vol	NOUN
easat-7589	303	17	.	.	PROPN
easat-7589	304	1	55	55	NUM
easat-7589	304	2	,	,	PUNCT
easat-7589	304	3	no	no	INTJ
easat-7589	304	4	.	.	NOUN
easat-7589	304	5	1	1	NUM
easat-7589	304	6	-	-	SYM
easat-7589	304	7	2	2	NUM
easat-7589	304	8	,	,	PUNCT
easat-7589	304	9	pp	pp	ADJ
easat-7589	304	10	.	.	PUNCT
easat-7589	305	1	307319	307319	NUM
easat-7589	305	2	,	,	PUNCT
easat-7589	305	3	2003	2003	NUM
easat-7589	305	4	.	.	PUNCT
easat-7589	306	1	[	[	X
easat-7589	306	2	4	4	X
easat-7589	306	3	]	]	PUNCT
easat-7589	306	4	b.	b.	PROPN
easat-7589	306	5	chao	chao	PROPN
easat-7589	306	6	and	and	CCONJ
easat-7589	306	7	h.	h.	PROPN
easat-7589	306	8	guang	guang	PROPN
easat-7589	306	9	qiu	qiu	PROPN
easat-7589	306	10	,	,	PUNCT
easat-7589	306	11	"	"	PUNCT
easat-7589	306	12	air	air	NOUN
easat-7589	306	13	pollution	pollution	NOUN
easat-7589	306	14	concentration	concentration	NOUN
easat-7589	306	15	fuzzy	fuzzy	ADJ
easat-7589	306	16	evaluation	evaluation	NOUN
easat-7589	306	17	based	base	VERB
easat-7589	306	18	on	on	ADP
easat-7589	306	19	evidence	evidence	NOUN
easat-7589	306	20	theory	theory	NOUN
easat-7589	306	21	and	and	CCONJ
easat-7589	306	22	the	the	DET
easat-7589	306	23	k	k	NOUN
easat-7589	306	24	-	-	PUNCT
easat-7589	306	25	nearest	near	ADJ
easat-7589	306	26	neighbor	neighbor	NOUN
easat-7589	306	27	algorithm	algorithm	NOUN
easat-7589	306	28	,	,	PUNCT
easat-7589	306	29	"	"	PUNCT
easat-7589	306	30	frontiers	frontier	NOUN
easat-7589	306	31	in	in	ADP
easat-7589	306	32	environmental	environmental	ADJ
easat-7589	306	33	science	science	NOUN
easat-7589	306	34	,	,	PUNCT
easat-7589	306	35	vol	vol	NOUN
easat-7589	306	36	.	.	PROPN
easat-7589	306	37	12	12	NUM
easat-7589	306	38	,	,	PUNCT
easat-7589	306	39	p.	p.	NOUN
easat-7589	306	40	1243962	1243962	NUM
easat-7589	306	41	,	,	PUNCT
easat-7589	306	42	2024	2024	NUM
easat-7589	306	43	.	.	PUNCT
easat-7589	307	1	https://doi.org/10.3389/fenvs.2024.1243962	https://doi.org/10.3389/fenvs.2024.1243962	PROPN
easat-7589	308	1	[	[	X
easat-7589	308	2	5	5	NUM
easat-7589	308	3	]	]	PUNCT
easat-7589	308	4	p.	p.	NOUN
easat-7589	308	5	thanh	thanh	PROPN
easat-7589	308	6	noi	noi	PROPN
easat-7589	308	7	and	and	CCONJ
easat-7589	308	8	m.	m.	NOUN
easat-7589	308	9	kappas	kappa	NOUN
easat-7589	308	10	,	,	PUNCT
easat-7589	308	11	"	"	PUNCT
easat-7589	308	12	comparison	comparison	NOUN
easat-7589	308	13	of	of	ADP
easat-7589	308	14	random	random	ADJ
easat-7589	308	15	forest	forest	NOUN
easat-7589	308	16	,	,	PUNCT
easat-7589	308	17	k	k	X
easat-7589	308	18	-	-	PUNCT
easat-7589	308	19	nearest	near	ADJ
easat-7589	308	20	neighbor	neighbor	NOUN
easat-7589	308	21	,	,	PUNCT
easat-7589	308	22	and	and	CCONJ
easat-7589	308	23	support	support	VERB
easat-7589	308	24	vector	vector	NOUN
easat-7589	308	25	machine	machine	NOUN
easat-7589	308	26	classifiers	classifier	NOUN
easat-7589	308	27	for	for	ADP
easat-7589	308	28	land	land	NOUN
easat-7589	308	29	cover	cover	NOUN
easat-7589	308	30	classification	classification	NOUN
easat-7589	308	31	using	use	VERB
easat-7589	308	32	sentinel-2	sentinel-2	NUM
easat-7589	308	33	imagery	imagery	NOUN
easat-7589	308	34	,	,	PUNCT
easat-7589	308	35	"	"	PUNCT
easat-7589	308	36	sensors	sensor	NOUN
easat-7589	308	37	,	,	PUNCT
easat-7589	308	38	vol	vol	NOUN
easat-7589	308	39	.	.	PROPN
easat-7589	308	40	18	18	NUM
easat-7589	308	41	,	,	PUNCT
easat-7589	308	42	no	no	INTJ
easat-7589	308	43	.	.	NOUN
easat-7589	308	44	1	1	NUM
easat-7589	308	45	,	,	PUNCT
easat-7589	308	46	p.	p.	NOUN
easat-7589	308	47	18	18	NUM
easat-7589	308	48	,	,	PUNCT
easat-7589	308	49	2017	2017	NUM
easat-7589	308	50	.	.	PUNCT
easat-7589	309	1	https://doi.org/10.3390/s18010018	https://doi.org/10.3390/s18010018	NUM
easat-7589	310	1	[	[	X
easat-7589	310	2	6	6	NUM
easat-7589	310	3	]	]	PUNCT
easat-7589	310	4	k.	k.	PROPN
easat-7589	311	1	v.	v.	PROPN
easat-7589	311	2	v.	v.	PROPN
easat-7589	311	3	ganesh	ganesh	PROPN
easat-7589	311	4	,	,	PUNCT
easat-7589	312	1	g.	g.	PROPN
easat-7589	312	2	sheetal	sheetal	PROPN
easat-7589	312	3	,	,	PUNCT
easat-7589	312	4	m.	m.	NOUN
easat-7589	312	5	s.	s.	PROPN
easat-7589	312	6	amith	amith	PROPN
easat-7589	312	7	,	,	PUNCT
easat-7589	312	8	l.	l.	PROPN
easat-7589	312	9	h.	h.	PROPN
easat-7589	312	10	goyal	goyal	PROPN
easat-7589	312	11	,	,	PUNCT
easat-7589	312	12	and	and	CCONJ
easat-7589	312	13	k.	k.	PROPN
easat-7589	312	14	s.	s.	PROPN
easat-7589	312	15	rao	rao	PROPN
easat-7589	312	16	,	,	PUNCT
easat-7589	312	17	"	"	PUNCT
easat-7589	312	18	air	air	NOUN
easat-7589	312	19	quality	quality	NOUN
easat-7589	312	20	prediction	prediction	NOUN
easat-7589	312	21	using	use	VERB
easat-7589	312	22	knn	knn	PROPN
easat-7589	312	23	and	and	CCONJ
easat-7589	312	24	lstm	lstm	PROPN
easat-7589	312	25	,	,	PUNCT
easat-7589	312	26	"	"	PUNCT
easat-7589	312	27	int	int	NOUN
easat-7589	312	28	.	.	PUNCT
easat-7589	313	1	j.	j.	PROPN
easat-7589	313	2	innov	innov	PROPN
easat-7589	313	3	.	.	PUNCT
easat-7589	314	1	sci	sci	PROPN
easat-7589	314	2	.	.	PUNCT
easat-7589	314	3	res	res	PROPN
easat-7589	314	4	.	.	PUNCT
easat-7589	315	1	technol	technol	ADJ
easat-7589	315	2	,	,	PUNCT
easat-7589	315	3	vol	vol	NOUN
easat-7589	315	4	.	.	NOUN
easat-7589	316	1	9	9	NUM
easat-7589	316	2	,	,	PUNCT
easat-7589	316	3	no	no	INTJ
easat-7589	316	4	.	.	NOUN
easat-7589	316	5	4	4	NUM
easat-7589	316	6	,	,	PUNCT
easat-7589	316	7	2024	2024	NUM
easat-7589	316	8	.	.	PUNCT
easat-7589	317	1	https://doi.org/10.38124/ijisrt24apr1706	https://doi.org/10.38124/ijisrt24apr1706	PUNCT
easat-7589	318	1	[	[	X
easat-7589	318	2	7	7	X
easat-7589	318	3	]	]	X
easat-7589	318	4	p.	p.	NOUN
easat-7589	318	5	srisuradetchai	srisuradetchai	NOUN
easat-7589	318	6	and	and	CCONJ
easat-7589	318	7	w.	w.	PROPN
easat-7589	318	8	panichkitkosolkul	panichkitkosolkul	PROPN
easat-7589	318	9	,	,	PUNCT
easat-7589	318	10	"	"	PUNCT
easat-7589	318	11	using	use	VERB
easat-7589	318	12	ensemble	ensemble	ADJ
easat-7589	318	13	machine	machine	NOUN
easat-7589	318	14	learning	learning	NOUN
easat-7589	318	15	methods	method	NOUN
easat-7589	318	16	to	to	PART
easat-7589	318	17	forecast	forecast	VERB
easat-7589	318	18	particulate	particulate	NOUN
easat-7589	318	19	matter	matter	NOUN
easat-7589	318	20	(	(	PUNCT
easat-7589	318	21	pm2	pm2	NOUN
easat-7589	318	22	.	.	NOUN
easat-7589	318	23	5	5	NUM
easat-7589	318	24	)	)	PUNCT
easat-7589	318	25	in	in	ADP
easat-7589	318	26	bangkok	bangkok	PROPN
easat-7589	318	27	,	,	PUNCT
easat-7589	318	28	thailand	thailand	PROPN
easat-7589	318	29	,	,	PUNCT
easat-7589	318	30	"	"	PUNCT
easat-7589	318	31	presented	present	VERB
easat-7589	318	32	at	at	ADP
easat-7589	318	33	the	the	DET
easat-7589	318	34	in	in	ADP
easat-7589	318	35	international	international	ADJ
easat-7589	318	36	conference	conference	NOUN
easat-7589	318	37	on	on	ADP
easat-7589	318	38	multi	multi	ADJ
easat-7589	318	39	-	-	ADJ
easat-7589	318	40	disciplinary	disciplinary	ADJ
easat-7589	318	41	trends	trend	NOUN
easat-7589	318	42	in	in	ADP
easat-7589	318	43	artificial	artificial	ADJ
easat-7589	318	44	intelligence	intelligence	NOUN
easat-7589	318	45	(	(	PUNCT
easat-7589	318	46	pp	pp	ADJ
easat-7589	318	47	.	.	PUNCT
easat-7589	319	1	204	204	NUM
easat-7589	319	2	-	-	SYM
easat-7589	319	3	215	215	NUM
easat-7589	319	4	)	)	PUNCT
easat-7589	319	5	.	.	PUNCT
easat-7589	320	1	cham	cham	PROPN
easat-7589	320	2	:	:	PUNCT
easat-7589	320	3	springer	springer	NOUN
easat-7589	320	4	international	international	ADJ
easat-7589	320	5	publishing	publishing	NOUN
easat-7589	320	6	,	,	PUNCT
easat-7589	320	7	2022	2022	NUM
easat-7589	320	8	.	.	PUNCT
easat-7589	321	1	[	[	X
easat-7589	321	2	8	8	NUM
easat-7589	321	3	]	]	PUNCT
easat-7589	321	4	z.	z.	PROPN
easat-7589	321	5	a.	a.	PROPN
easat-7589	321	6	sejuti	sejuti	PROPN
easat-7589	321	7	and	and	CCONJ
easat-7589	321	8	m.	m.	PROPN
easat-7589	321	9	s.	s.	PROPN
easat-7589	321	10	islam	islam	PROPN
easat-7589	321	11	,	,	PUNCT
easat-7589	321	12	"	"	PUNCT
easat-7589	321	13	a	a	DET
easat-7589	321	14	hybrid	hybrid	ADJ
easat-7589	321	15	cnn	cnn	PROPN
easat-7589	321	16	–	–	PUNCT
easat-7589	321	17	knn	knn	PROPN
easat-7589	321	18	approach	approach	NOUN
easat-7589	321	19	for	for	ADP
easat-7589	321	20	identification	identification	NOUN
easat-7589	321	21	of	of	ADP
easat-7589	321	22	covid-19	covid-19	PROPN
easat-7589	321	23	with	with	ADP
easat-7589	321	24	5	5	NUM
easat-7589	321	25	-	-	ADJ
easat-7589	321	26	fold	fold	ADJ
easat-7589	321	27	cross	cross	NOUN
easat-7589	321	28	validation	validation	NOUN
easat-7589	321	29	,	,	PUNCT
easat-7589	321	30	"	"	PUNCT
easat-7589	321	31	sensors	sensor	NOUN
easat-7589	321	32	international	international	ADJ
easat-7589	321	33	,	,	PUNCT
easat-7589	321	34	vol	vol	NOUN
easat-7589	321	35	.	.	PROPN
easat-7589	321	36	4	4	NUM
easat-7589	321	37	,	,	PUNCT
easat-7589	321	38	p.	p.	NOUN
easat-7589	321	39	100229	100229	NUM
easat-7589	321	40	,	,	PUNCT
easat-7589	321	41	2023	2023	NUM
easat-7589	321	42	.	.	PUNCT
easat-7589	322	1	https://doi.org/10.1016/j.sintl.2023.100229	https://doi.org/10.1016/j.sintl.2023.100229	PROPN
easat-7589	323	1	[	[	X
easat-7589	323	2	9	9	NUM
easat-7589	323	3	]	]	X
easat-7589	323	4	n.	n.	NOUN
easat-7589	323	5	m.	m.	PROPN
easat-7589	323	6	n.	n.	PROPN
easat-7589	323	7	al	al	PROPN
easat-7589	323	8	-	-	PROPN
easat-7589	323	9	dosary	dosary	NOUN
easat-7589	323	10	,	,	PUNCT
easat-7589	323	11	s.	s.	PROPN
easat-7589	323	12	a.	a.	PROPN
easat-7589	323	13	al	al	PROPN
easat-7589	323	14	-	-	PUNCT
easat-7589	323	15	hamed	hamed	PROPN
easat-7589	323	16	,	,	PUNCT
easat-7589	323	17	and	and	CCONJ
easat-7589	323	18	a.	a.	NOUN
easat-7589	323	19	m.	m.	NOUN
easat-7589	323	20	aboukarima	aboukarima	PROPN
easat-7589	323	21	,	,	PUNCT
easat-7589	323	22	"	"	PUNCT
easat-7589	323	23	k	k	X
easat-7589	323	24	-	-	PUNCT
easat-7589	323	25	nearest	near	ADJ
easat-7589	323	26	neighbors	neighbor	NOUN
easat-7589	323	27	method	method	VERB
easat-7589	323	28	for	for	ADP
easat-7589	323	29	prediction	prediction	NOUN
easat-7589	323	30	of	of	ADP
easat-7589	323	31	fuel	fuel	NOUN
easat-7589	323	32	consumption	consumption	NOUN
easat-7589	323	33	in	in	ADP
easat-7589	323	34	tractor	tractor	NOUN
easat-7589	323	35	-	-	PUNCT
easat-7589	323	36	chisel	chisel	NOUN
easat-7589	323	37	plow	plow	NOUN
easat-7589	323	38	systems	system	NOUN
easat-7589	323	39	,	,	PUNCT
easat-7589	323	40	"	"	PUNCT
easat-7589	323	41	engenharia	engenharia	PROPN
easat-7589	323	42	agrícola	agrícola	PROPN
easat-7589	323	43	,	,	PUNCT
easat-7589	323	44	vol	vol	NOUN
easat-7589	323	45	.	.	PROPN
easat-7589	323	46	39	39	NUM
easat-7589	323	47	,	,	PUNCT
easat-7589	323	48	no	no	INTJ
easat-7589	323	49	.	.	NOUN
easat-7589	323	50	6	6	NUM
easat-7589	323	51	,	,	PUNCT
easat-7589	323	52	pp	pp	ADJ
easat-7589	323	53	.	.	PUNCT
easat-7589	324	1	729	729	NUM
easat-7589	324	2	-	-	PUNCT
easat-7589	324	3	736	736	NUM
easat-7589	324	4	,	,	PUNCT
easat-7589	324	5	2019	2019	NUM
easat-7589	324	6	.	.	PUNCT
easat-7589	325	1	https://doi.org/10.1590/1809-4430-eng.agric.v39n6p729-736/2019	https://doi.org/10.1590/1809-4430-eng.agric.v39n6p729-736/2019	X
easat-7589	326	1	[	[	X
easat-7589	326	2	10	10	NUM
easat-7589	326	3	]	]	X
easat-7589	326	4	c.	c.	PROPN
easat-7589	326	5	zhang	zhang	PROPN
easat-7589	326	6	,	,	PUNCT
easat-7589	326	7	p.	p.	PROPN
easat-7589	326	8	zhong	zhong	PROPN
easat-7589	326	9	,	,	PUNCT
easat-7589	326	10	m.	m.	PROPN
easat-7589	326	11	liu	liu	PROPN
easat-7589	326	12	,	,	PUNCT
easat-7589	326	13	q.	q.	PROPN
easat-7589	326	14	song	song	PROPN
easat-7589	326	15	,	,	PUNCT
easat-7589	326	16	z.	z.	PROPN
easat-7589	326	17	liang	liang	PROPN
easat-7589	326	18	,	,	PUNCT
easat-7589	326	19	and	and	CCONJ
easat-7589	326	20	x.	x.	PROPN
easat-7589	326	21	wang	wang	PROPN
easat-7589	326	22	,	,	PUNCT
easat-7589	326	23	"	"	PUNCT
easat-7589	326	24	hybrid	hybrid	ADJ
easat-7589	326	25	metric	metric	ADJ
easat-7589	326	26	k‐nearest	k‐nearest	X
easat-7589	326	27	neighbor	neighbor	NOUN
easat-7589	326	28	algorithm	algorithm	NOUN
easat-7589	326	29	and	and	CCONJ
easat-7589	326	30	applications	application	NOUN
easat-7589	326	31	,	,	PUNCT
easat-7589	326	32	"	"	PUNCT
easat-7589	326	33	mathematical	mathematical	ADJ
easat-7589	326	34	problems	problem	NOUN
easat-7589	326	35	in	in	ADP
easat-7589	326	36	engineering	engineering	NOUN
easat-7589	326	37	,	,	PUNCT
easat-7589	326	38	vol	vol	NOUN
easat-7589	326	39	.	.	PROPN
easat-7589	326	40	2022	2022	NUM
easat-7589	326	41	,	,	PUNCT
easat-7589	326	42	no	no	INTJ
easat-7589	326	43	.	.	NOUN
easat-7589	326	44	1	1	NUM
easat-7589	326	45	,	,	PUNCT
easat-7589	326	46	p.	p.	NOUN
easat-7589	326	47	8212546	8212546	NUM
easat-7589	326	48	,	,	PUNCT
easat-7589	326	49	2022	2022	NUM
easat-7589	326	50	.	.	PUNCT
easat-7589	327	1	https://doi.org/10.1155/2022/8212546	https://doi.org/10.1155/2022/8212546	PROPN
easat-7589	327	2	[	[	X
easat-7589	327	3	11	11	NUM
easat-7589	327	4	]	]	PUNCT
easat-7589	327	5	a.	a.	NOUN
easat-7589	327	6	jegorowa	jegorowa	PROPN
easat-7589	327	7	,	,	PUNCT
easat-7589	327	8	j.	j.	PROPN
easat-7589	327	9	górski	górski	PROPN
easat-7589	327	10	,	,	PUNCT
easat-7589	327	11	j.	j.	PROPN
easat-7589	327	12	kurek	kurek	PROPN
easat-7589	327	13	,	,	PUNCT
easat-7589	327	14	and	and	CCONJ
easat-7589	327	15	m.	m.	PROPN
easat-7589	327	16	kruk	kruk	PROPN
easat-7589	327	17	,	,	PUNCT
easat-7589	327	18	"	"	PUNCT
easat-7589	327	19	use	use	NOUN
easat-7589	327	20	of	of	ADP
easat-7589	327	21	nearest	near	ADJ
easat-7589	327	22	neighbors	neighbor	NOUN
easat-7589	327	23	(	(	PUNCT
easat-7589	327	24	k	k	X
easat-7589	327	25	-	-	PUNCT
easat-7589	327	26	nn	nn	ADJ
easat-7589	327	27	)	)	PUNCT
easat-7589	327	28	algorithm	algorithm	NOUN
easat-7589	327	29	in	in	ADP
easat-7589	327	30	tool	tool	NOUN
easat-7589	327	31	condition	condition	NOUN
easat-7589	327	32	identification	identification	NOUN
easat-7589	327	33	in	in	ADP
easat-7589	327	34	the	the	DET
easat-7589	327	35	case	case	NOUN
easat-7589	327	36	of	of	ADP
easat-7589	327	37	drilling	drill	VERB
easat-7589	327	38	in	in	ADP
easat-7589	327	39	melamine	melamine	ADJ
easat-7589	327	40	faced	face	VERB
easat-7589	327	41	particleboard	particleboard	NOUN
easat-7589	327	42	,	,	PUNCT
easat-7589	327	43	"	"	PUNCT
easat-7589	327	44	maderas	maderas	X
easat-7589	327	45	.	.	PUNCT
easat-7589	328	1	ciencia	ciencia	PROPN
easat-7589	328	2	y	y	PROPN
easat-7589	328	3	tecnologia	tecnologia	PROPN
easat-7589	328	4	,	,	PUNCT
easat-7589	328	5	vol	vol	NOUN
easat-7589	328	6	.	.	PROPN
easat-7589	328	7	22	22	NUM
easat-7589	328	8	,	,	PUNCT
easat-7589	328	9	no	no	INTJ
easat-7589	328	10	.	.	NOUN
easat-7589	328	11	2	2	NUM
easat-7589	328	12	,	,	PUNCT
easat-7589	328	13	pp	pp	ADJ
easat-7589	328	14	.	.	PUNCT
easat-7589	329	1	189	189	NUM
easat-7589	329	2	-	-	SYM
easat-7589	329	3	196	196	NUM
easat-7589	329	4	,	,	PUNCT
easat-7589	329	5	2020	2020	NUM
easat-7589	329	6	.	.	PUNCT
easat-7589	330	1	https://doi.org/10.4067/s0718-221x2020005000205	https://doi.org/10.4067/s0718-221x2020005000205	PUNCT
easat-7589	331	1	[	[	X
easat-7589	331	2	12	12	NUM
easat-7589	331	3	]	]	PUNCT
easat-7589	331	4	a.	a.	NOUN
easat-7589	331	5	onan	onan	PROPN
easat-7589	331	6	,	,	PUNCT
easat-7589	331	7	"	"	PUNCT
easat-7589	331	8	a	a	DET
easat-7589	331	9	fuzzy	fuzzy	ADJ
easat-7589	331	10	-	-	PUNCT
easat-7589	331	11	rough	rough	ADJ
easat-7589	331	12	nearest	near	ADJ
easat-7589	331	13	neighbor	neighbor	NOUN
easat-7589	331	14	classifier	classifier	NOUN
easat-7589	331	15	combined	combine	VERB
easat-7589	331	16	with	with	ADP
easat-7589	331	17	consistency	consistency	NOUN
easat-7589	331	18	-	-	PUNCT
easat-7589	331	19	based	base	VERB
easat-7589	331	20	subset	subset	NOUN
easat-7589	331	21	evaluation	evaluation	NOUN
easat-7589	331	22	and	and	CCONJ
easat-7589	331	23	instance	instance	NOUN
easat-7589	331	24	selection	selection	NOUN
easat-7589	331	25	for	for	ADP
easat-7589	331	26	automated	automate	VERB
easat-7589	331	27	diagnosis	diagnosis	NOUN
easat-7589	331	28	of	of	ADP
easat-7589	331	29	breast	breast	NOUN
easat-7589	331	30	cancer	cancer	NOUN
easat-7589	331	31	,	,	PUNCT
easat-7589	331	32	"	"	PUNCT
easat-7589	331	33	expert	expert	NOUN
easat-7589	331	34	systems	system	NOUN
easat-7589	331	35	with	with	ADP
easat-7589	331	36	applications	application	NOUN
easat-7589	331	37	,	,	PUNCT
easat-7589	331	38	vol	vol	NOUN
easat-7589	331	39	.	.	PROPN
easat-7589	331	40	42	42	NUM
easat-7589	331	41	,	,	PUNCT
easat-7589	331	42	no	no	INTJ
easat-7589	331	43	.	.	NOUN
easat-7589	331	44	20	20	NUM
easat-7589	331	45	,	,	PUNCT
easat-7589	331	46	pp	pp	ADJ
easat-7589	331	47	.	.	PUNCT
easat-7589	332	1	6844	6844	NUM
easat-7589	332	2	-	-	SYM
easat-7589	332	3	6852	6852	NUM
easat-7589	332	4	,	,	PUNCT
easat-7589	332	5	2015	2015	NUM
easat-7589	332	6	.	.	PUNCT
easat-7589	332	7	https://doi.org/10.1016/j.eswa.2015.05.006	https://doi.org/10.1016/j.eswa.2015.05.006	NOUN
easat-7589	332	8	[	[	X
easat-7589	332	9	13	13	NUM
easat-7589	332	10	]	]	PUNCT
easat-7589	332	11	m.	m.	NOUN
easat-7589	332	12	shouman	shouman	NOUN
easat-7589	332	13	,	,	PUNCT
easat-7589	332	14	t.	t.	NOUN
easat-7589	332	15	turner	turner	PROPN
easat-7589	332	16	,	,	PUNCT
easat-7589	332	17	and	and	CCONJ
easat-7589	332	18	r.	r.	PROPN
easat-7589	332	19	stocker	stocker	PROPN
easat-7589	332	20	,	,	PUNCT
easat-7589	332	21	"	"	PUNCT
easat-7589	332	22	applying	apply	VERB
easat-7589	332	23	k	k	NOUN
easat-7589	332	24	-	-	PUNCT
easat-7589	332	25	nearest	near	ADJ
easat-7589	332	26	neighbour	neighbour	NOUN
easat-7589	332	27	in	in	ADP
easat-7589	332	28	diagnosing	diagnose	VERB
easat-7589	332	29	heart	heart	NOUN
easat-7589	332	30	disease	disease	NOUN
easat-7589	332	31	patients	patient	NOUN
easat-7589	332	32	,	,	PUNCT
easat-7589	332	33	"	"	PUNCT
easat-7589	332	34	international	international	ADJ
easat-7589	332	35	journal	journal	NOUN
easat-7589	332	36	of	of	ADP
easat-7589	332	37	information	information	NOUN
easat-7589	332	38	and	and	CCONJ
easat-7589	332	39	education	education	NOUN
easat-7589	332	40	technology	technology	NOUN
easat-7589	332	41	,	,	PUNCT
easat-7589	332	42	vol	vol	NOUN
easat-7589	332	43	.	.	PROPN
easat-7589	332	44	2	2	NUM
easat-7589	332	45	,	,	PUNCT
easat-7589	332	46	no	no	INTJ
easat-7589	332	47	.	.	NOUN
easat-7589	332	48	3	3	NUM
easat-7589	332	49	,	,	PUNCT
easat-7589	332	50	pp	pp	ADJ
easat-7589	332	51	.	.	PUNCT
easat-7589	333	1	220	220	NUM
easat-7589	333	2	-	-	SYM
easat-7589	333	3	223	223	NUM
easat-7589	333	4	,	,	PUNCT
easat-7589	333	5	2012	2012	NUM
easat-7589	333	6	.	.	PUNCT
easat-7589	334	1	https://doi.org/10.7763/ijiet.2012.v2.114	https://doi.org/10.7763/ijiet.2012.v2.114	NOUN
easat-7589	335	1	[	[	X
easat-7589	335	2	14	14	NUM
easat-7589	335	3	]	]	X
easat-7589	335	4	c.	c.	PROPN
easat-7589	335	5	liu	liu	PROPN
easat-7589	335	6	et	et	PROPN
easat-7589	335	7	al	al	PROPN
easat-7589	335	8	.	.	PROPN
easat-7589	335	9	,	,	PUNCT
easat-7589	335	10	"	"	PUNCT
easat-7589	335	11	a	a	DET
easat-7589	335	12	k	k	ADV
easat-7589	335	13	-	-	PUNCT
easat-7589	335	14	nearest	near	ADJ
easat-7589	335	15	neighbor	neighbor	NOUN
easat-7589	335	16	model	model	NOUN
easat-7589	335	17	to	to	PART
easat-7589	335	18	predict	predict	VERB
easat-7589	335	19	early	early	ADJ
easat-7589	335	20	recurrence	recurrence	NOUN
easat-7589	335	21	of	of	ADP
easat-7589	335	22	hepatocellular	hepatocellular	ADJ
easat-7589	335	23	carcinoma	carcinoma	NOUN
easat-7589	335	24	after	after	ADP
easat-7589	335	25	resection	resection	NOUN
easat-7589	335	26	,	,	PUNCT
easat-7589	335	27	"	"	PUNCT
easat-7589	335	28	journal	journal	NOUN
easat-7589	335	29	of	of	ADP
easat-7589	335	30	clinical	clinical	ADJ
easat-7589	335	31	and	and	CCONJ
easat-7589	335	32	translational	translational	ADJ
easat-7589	335	33	hepatology	hepatology	NOUN
easat-7589	335	34	,	,	PUNCT
easat-7589	335	35	vol	vol	NOUN
easat-7589	335	36	.	.	PROPN
easat-7589	335	37	10	10	NUM
easat-7589	335	38	,	,	PUNCT
easat-7589	335	39	no	no	INTJ
easat-7589	335	40	.	.	NOUN
easat-7589	335	41	4	4	NUM
easat-7589	335	42	,	,	PUNCT
easat-7589	335	43	p.	p.	NOUN
easat-7589	335	44	600	600	NUM
easat-7589	335	45	,	,	PUNCT
easat-7589	335	46	2022	2022	NUM
easat-7589	335	47	.	.	PUNCT
easat-7589	336	1	https://doi.org/10.14218/jcth.2021.00348	https://doi.org/10.14218/jcth.2021.00348	NOUN
easat-7589	337	1	[	[	X
easat-7589	337	2	15	15	NUM
easat-7589	337	3	]	]	X
easat-7589	337	4	k.	k.	PROPN
easat-7589	337	5	archana	archana	PROPN
easat-7589	337	6	and	and	CCONJ
easat-7589	337	7	g.	g.	PROPN
easat-7589	337	8	komarasamy	komarasamy	PROPN
easat-7589	337	9	,	,	PUNCT
easat-7589	337	10	"	"	PUNCT
easat-7589	337	11	a	a	DET
easat-7589	337	12	novel	novel	ADJ
easat-7589	337	13	deep	deep	ADJ
easat-7589	337	14	learning	learning	NOUN
easat-7589	337	15	-	-	PUNCT
easat-7589	337	16	based	base	VERB
easat-7589	337	17	brain	brain	NOUN
easat-7589	337	18	tumor	tumor	NOUN
easat-7589	337	19	detection	detection	NOUN
easat-7589	337	20	using	use	VERB
easat-7589	337	21	the	the	DET
easat-7589	337	22	bagging	bagging	NOUN
easat-7589	337	23	ensemble	ensemble	ADJ
easat-7589	337	24	with	with	ADP
easat-7589	337	25	k	k	ADJ
easat-7589	337	26	-	-	PUNCT
easat-7589	337	27	nearest	near	ADJ
easat-7589	337	28	neighbor	neighbor	NOUN
easat-7589	337	29	,	,	PUNCT
easat-7589	337	30	"	"	PUNCT
easat-7589	337	31	journal	journal	NOUN
easat-7589	337	32	of	of	ADP
easat-7589	337	33	intelligent	intelligent	ADJ
easat-7589	337	34	systems	system	NOUN
easat-7589	337	35	,	,	PUNCT
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easat-7589	338	9	,	,	PUNCT
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easat-7589	339	3	16	16	NUM
easat-7589	339	4	]	]	PUNCT
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easat-7589	340	11	.	.	PUNCT
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easat-7589	341	32	,	,	PUNCT
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easat-7589	341	34	.	.	PUNCT
easat-7589	342	1	https://doi.org/10.3389/fdata.2024.1402384	https://doi.org/10.3389/fdata.2024.1402384	PROPN
easat-7589	343	1	[	[	X
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easat-7589	343	3	]	]	X
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easat-7589	344	6	,	,	PUNCT
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easat-7589	345	2	-	-	SYM
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easat-7589	345	5	2000	2000	NUM
easat-7589	345	6	.	.	PUNCT
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easat-7589	347	3	]	]	PUNCT
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easat-7589	348	2	-	-	SYM
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easat-7589	348	4	,	,	PUNCT
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easat-7589	348	6	.	.	PUNCT
easat-7589	349	1	https://doi.org/10.1016/j.neucom.2015.08.112	https://doi.org/10.1016/j.neucom.2015.08.112	PROPN
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easat-7589	354	2	-	-	SYM
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easat-7589	360	44	,	,	PUNCT
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easat-7589	360	46	.	.	NOUN
easat-7589	360	47	2	2	NUM
easat-7589	360	48	,	,	PUNCT
easat-7589	360	49	p.	p.	NOUN
easat-7589	360	50	286	286	NUM
easat-7589	360	51	,	,	PUNCT
easat-7589	360	52	2020	2020	NUM
easat-7589	360	53	.	.	PUNCT
easat-7589	361	1	https://doi.org/10.3390/math8020286	https://doi.org/10.3390/math8020286	PROPN
easat-7589	362	1	[	[	X
easat-7589	362	2	23	23	NUM
easat-7589	362	3	]	]	PUNCT
easat-7589	362	4	h.	h.	PROPN
easat-7589	362	5	i.	i.	PROPN
easat-7589	362	6	abdalla	abdalla	PROPN
easat-7589	362	7	and	and	CCONJ
easat-7589	362	8	a.	a.	PROPN
easat-7589	362	9	a.	a.	PROPN
easat-7589	362	10	amer	amer	PROPN
easat-7589	362	11	,	,	PUNCT
easat-7589	362	12	"	"	PUNCT
easat-7589	362	13	towards	towards	ADP
easat-7589	362	14	highly	highly	ADV
easat-7589	362	15	-	-	PUNCT
easat-7589	362	16	efficient	efficient	ADJ
easat-7589	362	17	k	k	ADJ
easat-7589	362	18	-	-	PUNCT
easat-7589	362	19	nearest	near	ADJ
easat-7589	362	20	neighbor	neighbor	NOUN
easat-7589	362	21	algorithm	algorithm	NOUN
easat-7589	362	22	for	for	ADP
easat-7589	362	23	big	big	ADJ
easat-7589	362	24	data	datum	NOUN
easat-7589	362	25	classification	classification	NOUN
easat-7589	362	26	,	,	PUNCT
easat-7589	362	27	"	"	PUNCT
easat-7589	362	28	in	in	ADP
easat-7589	362	29	in	in	ADP
easat-7589	362	30	proceedings	proceeding	NOUN
easat-7589	362	31	of	of	ADP
easat-7589	362	32	the	the	DET
easat-7589	362	33	2022	2022	NUM
easat-7589	362	34	5th	5th	ADJ
easat-7589	362	35	international	international	ADJ
easat-7589	362	36	conference	conference	NOUN
easat-7589	362	37	on	on	ADP
easat-7589	362	38	networking	networking	NOUN
easat-7589	362	39	,	,	PUNCT
easat-7589	362	40	information	information	NOUN
easat-7589	362	41	systems	system	NOUN
easat-7589	362	42	and	and	CCONJ
easat-7589	362	43	security	security	NOUN
easat-7589	362	44	;	;	PUNCT
easat-7589	362	45	ieee	ieee	NOUN
easat-7589	362	46	:	:	PUNCT
easat-7589	362	47	new	new	PROPN
easat-7589	362	48	york	york	PROPN
easat-7589	362	49	city	city	PROPN
easat-7589	362	50	,	,	PUNCT
easat-7589	362	51	ny	ny	PROPN
easat-7589	362	52	,	,	PUNCT
easat-7589	362	53	usa	usa	PROPN
easat-7589	362	54	,	,	PUNCT
easat-7589	362	55	2022	2022	NUM
easat-7589	362	56	;	;	PUNCT
easat-7589	362	57	pp	pp	ADP
easat-7589	362	58	.	.	PUNCT
easat-7589	363	1	1–5	1–5	NUM
easat-7589	363	2	,	,	PUNCT
easat-7589	363	3	2022	2022	NUM
easat-7589	363	4	.	.	PUNCT
easat-7589	364	1	[	[	X
easat-7589	364	2	24	24	NUM
easat-7589	364	3	]	]	X
easat-7589	364	4	n.	n.	PROPN
easat-7589	364	5	ukey	ukey	PROPN
easat-7589	364	6	,	,	PUNCT
easat-7589	364	7	z.	z.	PROPN
easat-7589	364	8	yang	yang	PROPN
easat-7589	364	9	,	,	PUNCT
easat-7589	364	10	b.	b.	PROPN
easat-7589	364	11	li	li	PROPN
easat-7589	364	12	,	,	PUNCT
easat-7589	364	13	g.	g.	PROPN
easat-7589	364	14	zhang	zhang	PROPN
easat-7589	364	15	,	,	PUNCT
easat-7589	364	16	y.	y.	PROPN
easat-7589	364	17	hu	hu	PROPN
easat-7589	364	18	,	,	PUNCT
easat-7589	364	19	and	and	CCONJ
easat-7589	364	20	w.	w.	PROPN
easat-7589	364	21	zhang	zhang	PROPN
easat-7589	364	22	,	,	PUNCT
easat-7589	364	23	"	"	PUNCT
easat-7589	364	24	survey	survey	NOUN
easat-7589	364	25	on	on	ADP
easat-7589	364	26	exact	exact	ADJ
easat-7589	364	27	knn	knn	PROPN
easat-7589	364	28	queries	query	NOUN
easat-7589	364	29	over	over	ADP
easat-7589	364	30	high	high	ADV
easat-7589	364	31	-	-	PUNCT
easat-7589	364	32	dimensional	dimensional	ADJ
easat-7589	364	33	data	datum	NOUN
easat-7589	364	34	space	space	NOUN
easat-7589	364	35	,	,	PUNCT
easat-7589	364	36	"	"	PUNCT
easat-7589	364	37	sensors	sensor	NOUN
easat-7589	364	38	,	,	PUNCT
easat-7589	364	39	vol	vol	NOUN
easat-7589	364	40	.	.	PROPN
easat-7589	364	41	23	23	NUM
easat-7589	364	42	,	,	PUNCT
easat-7589	364	43	no	no	INTJ
easat-7589	364	44	.	.	NOUN
easat-7589	364	45	2	2	NUM
easat-7589	364	46	,	,	PUNCT
easat-7589	364	47	p.	p.	NOUN
easat-7589	364	48	629	629	NUM
easat-7589	364	49	,	,	PUNCT
easat-7589	364	50	2023	2023	NUM
easat-7589	364	51	.	.	PUNCT
easat-7589	365	1	https://doi.org/10.3390/s23020629	https://doi.org/10.3390/s23020629	NUM
easat-7589	365	2	[	[	SYM
easat-7589	365	3	25	25	NUM
easat-7589	365	4	]	]	PUNCT
easat-7589	365	5	m.	m.	NOUN
easat-7589	365	6	g.	g.	PROPN
easat-7589	365	7	hamed	hamed	PROPN
easat-7589	365	8	,	,	PUNCT
easat-7589	365	9	m.	m.	NOUN
easat-7589	365	10	serrurier	serrurier	NOUN
easat-7589	365	11	,	,	PUNCT
easat-7589	365	12	and	and	CCONJ
easat-7589	365	13	n.	n.	PROPN
easat-7589	365	14	durand	durand	PROPN
easat-7589	365	15	,	,	PUNCT
easat-7589	365	16	"	"	PUNCT
easat-7589	365	17	possibilistic	possibilistic	ADJ
easat-7589	365	18	knn	knn	PROPN
easat-7589	365	19	regression	regression	NOUN
easat-7589	365	20	using	use	VERB
easat-7589	365	21	tolerance	tolerance	NOUN
easat-7589	365	22	intervals	interval	NOUN
easat-7589	365	23	,	,	PUNCT
easat-7589	365	24	"	"	PUNCT
easat-7589	365	25	in	in	ADP
easat-7589	365	26	in	in	ADP
easat-7589	365	27	proceedings	proceeding	NOUN
easat-7589	365	28	of	of	ADP
easat-7589	365	29	the	the	DET
easat-7589	365	30	14th	14th	ADJ
easat-7589	365	31	international	international	ADJ
easat-7589	365	32	conference	conference	NOUN
easat-7589	365	33	on	on	ADP
easat-7589	365	34	information	information	NOUN
easat-7589	365	35	processing	processing	NOUN
easat-7589	365	36	and	and	CCONJ
easat-7589	365	37	management	management	NOUN
easat-7589	365	38	of	of	ADP
easat-7589	365	39	uncertainty	uncertainty	NOUN
easat-7589	365	40	in	in	ADP
easat-7589	365	41	knowledgebased	knowledgebased	ADJ
easat-7589	365	42	systems	system	NOUN
easat-7589	365	43	(	(	PUNCT
easat-7589	365	44	ipmu	ipmu	NOUN
easat-7589	365	45	2012	2012	NUM
easat-7589	365	46	)	)	PUNCT
easat-7589	365	47	;	;	PUNCT
easat-7589	365	48	springer	springer	NOUN
easat-7589	365	49	:	:	PUNCT
easat-7589	365	50	catania	catania	PROPN
easat-7589	365	51	,	,	PUNCT
easat-7589	365	52	italy	italy	PROPN
easat-7589	365	53	,	,	PUNCT
easat-7589	365	54	2012	2012	NUM
easat-7589	365	55	;	;	PUNCT
easat-7589	365	56	pp	pp	ADP
easat-7589	365	57	.	.	PUNCT
easat-7589	366	1	410–419	410–419	NUM
easat-7589	366	2	.	.	PUNCT
easat-7589	367	1	https://doi.org/10.1007/978-3-642-31718-7_43	https://doi.org/10.1007/978-3-642-31718-7_43	PROPN
easat-7589	367	2	,	,	PUNCT
easat-7589	367	3	2012	2012	NUM
easat-7589	367	4	.	.	PUNCT
easat-7589	368	1	[	[	X
easat-7589	368	2	26	26	NUM
easat-7589	368	3	]	]	PUNCT
easat-7589	368	4	m.	m.	NOUN
easat-7589	368	5	g.	g.	PROPN
easat-7589	368	6	hamed	hamed	PROPN
easat-7589	368	7	,	,	PUNCT
easat-7589	368	8	m.	m.	NOUN
easat-7589	368	9	serrurier	serrurier	NOUN
easat-7589	368	10	,	,	PUNCT
easat-7589	368	11	and	and	CCONJ
easat-7589	368	12	n.	n.	PROPN
easat-7589	368	13	durand	durand	PROPN
easat-7589	368	14	,	,	PUNCT
easat-7589	368	15	"	"	PUNCT
easat-7589	368	16	simultaneous	simultaneous	ADJ
easat-7589	368	17	interval	interval	NOUN
easat-7589	368	18	regression	regression	NOUN
easat-7589	368	19	for	for	ADP
easat-7589	368	20	k	k	NOUN
easat-7589	368	21	-	-	PUNCT
easat-7589	368	22	nearest	near	ADJ
easat-7589	368	23	neighbor	neighbor	NOUN
easat-7589	368	24	,	,	PUNCT
easat-7589	368	25	"	"	PUNCT
easat-7589	368	26	in	in	ADP
easat-7589	368	27	in	in	ADP
easat-7589	368	28	proceedings	proceeding	NOUN
easat-7589	368	29	of	of	ADP
easat-7589	368	30	the	the	DET
easat-7589	368	31	25th	25th	ADJ
easat-7589	368	32	australasian	australasian	ADJ
easat-7589	368	33	joint	joint	ADJ
easat-7589	368	34	conference	conference	NOUN
easat-7589	368	35	on	on	ADP
easat-7589	368	36	artificial	artificial	ADJ
easat-7589	368	37	intelligence	intelligence	NOUN
easat-7589	368	38	(	(	PUNCT
easat-7589	368	39	ai	ai	PROPN
easat-7589	368	40	2012	2012	NUM
easat-7589	368	41	)	)	PUNCT
easat-7589	368	42	;	;	PUNCT
easat-7589	368	43	springer	springer	NOUN
easat-7589	368	44	:	:	PUNCT
easat-7589	368	45	sydney	sydney	PROPN
easat-7589	368	46	,	,	PUNCT
easat-7589	368	47	australia	australia	PROPN
easat-7589	368	48	,	,	PUNCT
easat-7589	368	49	2012	2012	NUM
easat-7589	368	50	;	;	PUNCT
easat-7589	368	51	pp	pp	ADP
easat-7589	368	52	.	.	PUNCT
easat-7589	369	1	602–613	602–613	NUM
easat-7589	369	2	.	.	PUNCT
easat-7589	370	1	https://doi.org/10.1007/978-3-642-35101-3_51	https://doi.org/10.1007/978-3-642-35101-3_51	X
easat-7589	370	2	,	,	PUNCT
easat-7589	370	3	2012	2012	NUM
easat-7589	370	4	.	.	PUNCT
easat-7589	371	1	[	[	X
easat-7589	371	2	27	27	NUM
easat-7589	371	3	]	]	PUNCT
easat-7589	371	4	p.	p.	NOUN
easat-7589	371	5	srisuradetchai	srisuradetchai	NOUN
easat-7589	371	6	,	,	PUNCT
easat-7589	371	7	"	"	PUNCT
easat-7589	371	8	a	a	DET
easat-7589	371	9	novel	novel	ADJ
easat-7589	371	10	interval	interval	NOUN
easat-7589	371	11	forecast	forecast	NOUN
easat-7589	371	12	for	for	ADP
easat-7589	371	13	k	k	ADV
easat-7589	371	14	-	-	PUNCT
easat-7589	371	15	nearest	near	ADJ
easat-7589	371	16	neighbor	neighbor	NOUN
easat-7589	371	17	time	time	PROPN
easat-7589	371	18	series	series	PROPN
easat-7589	371	19	:	:	PUNCT
easat-7589	371	20	a	a	DET
easat-7589	371	21	case	case	NOUN
easat-7589	371	22	study	study	NOUN
easat-7589	371	23	of	of	ADP
easat-7589	371	24	durian	durian	ADJ
easat-7589	371	25	export	export	NOUN
easat-7589	371	26	in	in	ADP
easat-7589	371	27	thailand	thailand	PROPN
easat-7589	371	28	,	,	PUNCT
easat-7589	371	29	"	"	PUNCT
easat-7589	371	30	ieee	ieee	NOUN
easat-7589	371	31	access	access	NOUN
easat-7589	371	32	,	,	PUNCT
easat-7589	371	33	vol	vol	NOUN
easat-7589	371	34	.	.	PROPN
easat-7589	371	35	12	12	NUM
easat-7589	371	36	,	,	PUNCT
easat-7589	371	37	pp	pp	ADJ
easat-7589	371	38	.	.	PUNCT
easat-7589	372	1	2032	2032	NUM
easat-7589	372	2	-	-	SYM
easat-7589	372	3	2044	2044	NUM
easat-7589	372	4	,	,	PUNCT
easat-7589	372	5	2023	2023	NUM
easat-7589	372	6	.	.	PUNCT
easat-7589	373	1	https://doi.org/10.1109/access.2023.3348078	https://doi.org/10.1109/access.2023.3348078	PROPN
easat-7589	373	2	[	[	X
easat-7589	373	3	28	28	NUM
easat-7589	373	4	]	]	X
easat-7589	373	5	e.	e.	PROPN
easat-7589	373	6	ozturk	ozturk	PROPN
easat-7589	373	7	kiyak	kiyak	PROPN
easat-7589	373	8	,	,	PUNCT
easat-7589	373	9	b.	b.	PROPN
easat-7589	373	10	ghasemkhani	ghasemkhani	PROPN
easat-7589	373	11	,	,	PUNCT
easat-7589	373	12	and	and	CCONJ
easat-7589	373	13	d.	d.	PROPN
easat-7589	373	14	birant	birant	PROPN
easat-7589	373	15	,	,	PUNCT
easat-7589	373	16	"	"	PUNCT
easat-7589	373	17	high	high	ADJ
easat-7589	373	18	-	-	PUNCT
easat-7589	373	19	level	level	NOUN
easat-7589	373	20	k	k	NOUN
easat-7589	373	21	-	-	PUNCT
easat-7589	373	22	nearest	near	ADJ
easat-7589	373	23	neighbors	neighbor	NOUN
easat-7589	373	24	(	(	PUNCT
easat-7589	373	25	hlknn	hlknn	NOUN
easat-7589	373	26	):	):	PUNCT
easat-7589	373	27	a	a	DET
easat-7589	373	28	supervised	supervised	ADJ
easat-7589	373	29	machine	machine	NOUN
easat-7589	373	30	learning	learning	NOUN
easat-7589	373	31	model	model	NOUN
easat-7589	373	32	for	for	ADP
easat-7589	373	33	classification	classification	NOUN
easat-7589	373	34	analysis	analysis	NOUN
easat-7589	373	35	,	,	PUNCT
easat-7589	373	36	"	"	PUNCT
easat-7589	373	37	electronics	electronic	NOUN
easat-7589	373	38	,	,	PUNCT
easat-7589	373	39	vol	vol	NOUN
easat-7589	373	40	.	.	PROPN
easat-7589	373	41	12	12	NUM
easat-7589	373	42	,	,	PUNCT
easat-7589	373	43	no	no	INTJ
easat-7589	373	44	.	.	NOUN
easat-7589	373	45	18	18	NUM
easat-7589	373	46	,	,	PUNCT
easat-7589	373	47	p.	p.	NOUN
easat-7589	373	48	3828	3828	NUM
easat-7589	373	49	,	,	PUNCT
easat-7589	373	50	2023	2023	NUM
easat-7589	373	51	.	.	PUNCT
easat-7589	374	1	https://doi.org/10.3390/electronics12183828	https://doi.org/10.3390/electronics12183828	NOUN
easat-7589	374	2	[	[	X
easat-7589	374	3	29	29	NUM
easat-7589	374	4	]	]	X
easat-7589	374	5	p.	p.	NOUN
easat-7589	374	6	g.	g.	PROPN
easat-7589	374	7	giannopoulos	giannopoulos	PROPN
easat-7589	374	8	,	,	PUNCT
easat-7589	374	9	t.	t.	PROPN
easat-7589	374	10	k.	k.	PROPN
easat-7589	374	11	dasaklis	dasaklis	PROPN
easat-7589	374	12	,	,	PUNCT
easat-7589	374	13	and	and	CCONJ
easat-7589	374	14	n.	n.	PROPN
easat-7589	374	15	rachaniotis	rachaniotis	PROPN
easat-7589	374	16	,	,	PUNCT
easat-7589	374	17	"	"	PUNCT
easat-7589	374	18	development	development	NOUN
easat-7589	374	19	and	and	CCONJ
easat-7589	374	20	evaluation	evaluation	NOUN
easat-7589	374	21	of	of	ADP
easat-7589	374	22	a	a	DET
easat-7589	374	23	novel	novel	ADJ
easat-7589	374	24	framework	framework	NOUN
easat-7589	374	25	to	to	PART
easat-7589	374	26	enhance	enhance	VERB
easat-7589	374	27	k	k	PROPN
easat-7589	374	28	-	-	PUNCT
easat-7589	374	29	nn	nn	PROPN
easat-7589	374	30	algorithm	algorithm	PROPN
easat-7589	374	31	’s	’s	PART
easat-7589	374	32	accuracy	accuracy	NOUN
easat-7589	374	33	in	in	ADP
easat-7589	374	34	data	datum	NOUN
easat-7589	374	35	sparsity	sparsity	NOUN
easat-7589	374	36	contexts	contexts	NOUN
easat-7589	374	37	,	,	PUNCT
easat-7589	374	38	"	"	PUNCT
easat-7589	374	39	scientific	scientific	ADJ
easat-7589	374	40	reports	report	NOUN
easat-7589	374	41	,	,	PUNCT
easat-7589	374	42	vol	vol	NOUN
easat-7589	374	43	.	.	PROPN
easat-7589	375	1	14	14	NUM
easat-7589	375	2	,	,	PUNCT
easat-7589	375	3	no	no	INTJ
easat-7589	375	4	.	.	NOUN
easat-7589	375	5	1	1	NUM
easat-7589	375	6	,	,	PUNCT
easat-7589	375	7	p.	p.	NOUN
easat-7589	375	8	25036	25036	NUM
easat-7589	375	9	,	,	PUNCT
easat-7589	375	10	2024	2024	NUM
easat-7589	375	11	.	.	PUNCT
easat-7589	376	1	https://doi.org/10.1038/s41598-024-76909-6	https://doi.org/10.1038/s41598-024-76909-6	NUM
easat-7589	377	1	[	[	X
easat-7589	377	2	30	30	NUM
easat-7589	377	3	]	]	PUNCT
easat-7589	377	4	s.	s.	PROPN
easat-7589	377	5	uddin	uddin	PROPN
easat-7589	377	6	,	,	PUNCT
easat-7589	377	7	i.	i.	PROPN
easat-7589	377	8	haque	haque	PROPN
easat-7589	377	9	,	,	PUNCT
easat-7589	377	10	h.	h.	PROPN
easat-7589	377	11	lu	lu	PROPN
easat-7589	377	12	,	,	PUNCT
easat-7589	377	13	m.	m.	NOUN
easat-7589	377	14	a.	a.	NOUN
easat-7589	377	15	moni	moni	PROPN
easat-7589	377	16	,	,	PUNCT
easat-7589	377	17	and	and	CCONJ
easat-7589	377	18	e.	e.	PROPN
easat-7589	377	19	gide	gide	PROPN
easat-7589	377	20	,	,	PUNCT
easat-7589	377	21	"	"	PUNCT
easat-7589	377	22	comparative	comparative	ADJ
easat-7589	377	23	performance	performance	NOUN
easat-7589	377	24	analysis	analysis	NOUN
easat-7589	377	25	of	of	ADP
easat-7589	377	26	k	k	NOUN
easat-7589	377	27	-	-	PUNCT
easat-7589	377	28	nearest	near	ADJ
easat-7589	377	29	neighbour	neighbour	NOUN
easat-7589	377	30	(	(	PUNCT
easat-7589	377	31	knn	knn	PROPN
easat-7589	377	32	)	)	PUNCT
easat-7589	377	33	algorithm	algorithm	NOUN
easat-7589	377	34	and	and	CCONJ
easat-7589	377	35	its	its	PRON
easat-7589	377	36	different	different	ADJ
easat-7589	377	37	variants	variant	NOUN
easat-7589	377	38	for	for	ADP
easat-7589	377	39	disease	disease	NOUN
easat-7589	377	40	prediction	prediction	NOUN
easat-7589	377	41	,	,	PUNCT
easat-7589	377	42	"	"	PUNCT
easat-7589	377	43	scientific	scientific	ADJ
easat-7589	377	44	reports	report	NOUN
easat-7589	377	45	,	,	PUNCT
easat-7589	377	46	vol	vol	NOUN
easat-7589	377	47	.	.	PROPN
easat-7589	378	1	12	12	NUM
easat-7589	378	2	,	,	PUNCT
easat-7589	378	3	no	no	INTJ
easat-7589	378	4	.	.	NOUN
easat-7589	378	5	1	1	NUM
easat-7589	378	6	,	,	PUNCT
easat-7589	378	7	p.	p.	NOUN
easat-7589	378	8	6256	6256	NUM
easat-7589	378	9	,	,	PUNCT
easat-7589	378	10	2022	2022	NUM
easat-7589	378	11	.	.	PUNCT
easat-7589	379	1	https://doi.org/10.1038/s41598-022-10358-x	https://doi.org/10.1038/s41598-022-10358-x	PROPN
easat-7589	380	1	[	[	X
easat-7589	380	2	31	31	NUM
easat-7589	380	3	]	]	PUNCT
easat-7589	380	4	t.	t.	PROPN
easat-7589	380	5	hastie	hastie	PROPN
easat-7589	380	6	,	,	PUNCT
easat-7589	380	7	r.	r.	PROPN
easat-7589	380	8	tibshirani	tibshirani	PROPN
easat-7589	380	9	,	,	PUNCT
easat-7589	380	10	and	and	CCONJ
easat-7589	380	11	j.	j.	PROPN
easat-7589	380	12	friedman	friedman	PROPN
easat-7589	380	13	,	,	PUNCT
easat-7589	380	14	the	the	DET
easat-7589	380	15	elements	element	NOUN
easat-7589	380	16	of	of	ADP
easat-7589	380	17	statistical	statistical	ADJ
easat-7589	380	18	learning	learning	NOUN
easat-7589	380	19	:	:	PUNCT
easat-7589	380	20	data	datum	NOUN
easat-7589	380	21	mining	mining	NOUN
easat-7589	380	22	,	,	PUNCT
easat-7589	380	23	inference	inference	NOUN
easat-7589	380	24	,	,	PUNCT
easat-7589	380	25	and	and	CCONJ
easat-7589	380	26	prediction	prediction	NOUN
easat-7589	380	27	(	(	PUNCT
easat-7589	380	28	springer	springer	NOUN
easat-7589	380	29	)	)	PUNCT
easat-7589	380	30	.	.	PUNCT
easat-7589	381	1	cham	cham	PROPN
easat-7589	381	2	,	,	PUNCT
easat-7589	381	3	switzerland	switzerland	PROPN
easat-7589	381	4	,	,	PUNCT
easat-7589	381	5	2009	2009	NUM
easat-7589	381	6	.	.	PUNCT
easat-7589	382	1	[	[	X
easat-7589	382	2	32	32	NUM
easat-7589	382	3	]	]	PUNCT
easat-7589	382	4	d.	d.	PROPN
easat-7589	382	5	w.	w.	PROPN
easat-7589	382	6	scott	scott	PROPN
easat-7589	382	7	,	,	PUNCT
easat-7589	382	8	multivariate	multivariate	VERB
easat-7589	382	9	density	density	NOUN
easat-7589	382	10	estimation	estimation	NOUN
easat-7589	382	11	:	:	PUNCT
easat-7589	382	12	theory	theory	NOUN
easat-7589	382	13	,	,	PUNCT
easat-7589	382	14	practice	practice	NOUN
easat-7589	382	15	,	,	PUNCT
easat-7589	382	16	and	and	CCONJ
easat-7589	382	17	visualization	visualization	NOUN
easat-7589	382	18	.	.	PUNCT
easat-7589	383	1	new	new	PROPN
easat-7589	383	2	york	york	PROPN
easat-7589	383	3	:	:	PUNCT
easat-7589	383	4	john	john	PROPN
easat-7589	383	5	wiley	wiley	PROPN
easat-7589	383	6	&	&	CCONJ
easat-7589	383	7	sons	son	NOUN
easat-7589	383	8	,	,	PUNCT
easat-7589	383	9	2015	2015	NUM
easat-7589	383	10	.	.	PUNCT
easat-7589	384	1	[	[	X
easat-7589	384	2	33	33	NUM
easat-7589	384	3	]	]	X
easat-7589	384	4	g.	g.	PROPN
easat-7589	384	5	james	james	PROPN
easat-7589	384	6	,	,	PUNCT
easat-7589	384	7	d.	d.	PROPN
easat-7589	384	8	witten	witten	PROPN
easat-7589	384	9	,	,	PUNCT
easat-7589	384	10	t.	t.	PROPN
easat-7589	384	11	hastie	hastie	PROPN
easat-7589	384	12	,	,	PUNCT
easat-7589	384	13	r.	r.	PROPN
easat-7589	384	14	tibshirani	tibshirani	PROPN
easat-7589	384	15	,	,	PUNCT
easat-7589	384	16	and	and	CCONJ
easat-7589	384	17	j.	j.	PROPN
easat-7589	384	18	taylor	taylor	PROPN
easat-7589	384	19	,	,	PUNCT
easat-7589	384	20	an	an	DET
easat-7589	384	21	introduction	introduction	NOUN
easat-7589	384	22	to	to	ADP
easat-7589	384	23	statistical	statistical	ADJ
easat-7589	384	24	learning	learning	NOUN
easat-7589	384	25	:	:	PUNCT
easat-7589	384	26	with	with	ADP
easat-7589	384	27	applications	application	NOUN
easat-7589	384	28	in	in	ADP
easat-7589	384	29	python	python	PROPN
easat-7589	384	30	.	.	PUNCT
easat-7589	385	1	cham	cham	PROPN
easat-7589	385	2	,	,	PUNCT
easat-7589	385	3	switzerland	switzerland	PROPN
easat-7589	385	4	:	:	PUNCT
easat-7589	385	5	springer	springer	NOUN
easat-7589	385	6	,	,	PUNCT
easat-7589	385	7	2023	2023	NUM
easat-7589	385	8	.	.	PUNCT
easat-7589	386	1	[	[	X
easat-7589	386	2	34	34	NUM
easat-7589	386	3	]	]	PUNCT
easat-7589	386	4	m.	m.	NOUN
easat-7589	386	5	p.	p.	PROPN
easat-7589	386	6	deisenroth	deisenroth	PROPN
easat-7589	386	7	,	,	PUNCT
easat-7589	386	8	a.	a.	NOUN
easat-7589	386	9	a.	a.	NOUN
easat-7589	386	10	faisal	faisal	PROPN
easat-7589	386	11	,	,	PUNCT
easat-7589	386	12	and	and	CCONJ
easat-7589	386	13	c.	c.	PROPN
easat-7589	386	14	s.	s.	PROPN
easat-7589	386	15	ong	ong	PROPN
easat-7589	386	16	,	,	PUNCT
easat-7589	386	17	mathematics	mathematic	NOUN
easat-7589	386	18	for	for	ADP
easat-7589	386	19	machine	machine	NOUN
easat-7589	386	20	learning	learning	NOUN
easat-7589	386	21	.	.	PUNCT
easat-7589	387	1	cambridge	cambridge	PROPN
easat-7589	387	2	,	,	PUNCT
easat-7589	387	3	uk	uk	PROPN
easat-7589	387	4	:	:	PUNCT
easat-7589	387	5	cambridge	cambridge	PROPN
easat-7589	387	6	university	university	PROPN
easat-7589	387	7	press	press	NOUN
easat-7589	387	8	,	,	PUNCT
easat-7589	387	9	2020	2020	NUM
easat-7589	387	10	.	.	PUNCT
easat-7589	388	1	[	[	X
easat-7589	388	2	35	35	NUM
easat-7589	388	3	]	]	PUNCT
easat-7589	388	4	a.	a.	NOUN
easat-7589	388	5	zollanvari	zollanvari	NOUN
easat-7589	388	6	,	,	PUNCT
easat-7589	388	7	machine	machine	NOUN
easat-7589	388	8	learning	learning	NOUN
easat-7589	388	9	with	with	ADP
easat-7589	388	10	python	python	NOUN
easat-7589	388	11	:	:	PUNCT
easat-7589	388	12	theory	theory	NOUN
easat-7589	388	13	and	and	CCONJ
easat-7589	388	14	implementation	implementation	NOUN
easat-7589	388	15	.	.	PUNCT
easat-7589	389	1	cham	cham	PROPN
easat-7589	389	2	,	,	PUNCT
easat-7589	389	3	switzerland	switzerland	PROPN
easat-7589	389	4	:	:	PUNCT
easat-7589	389	5	springer	springer	NOUN
easat-7589	389	6	,	,	PUNCT
easat-7589	389	7	2023	2023	NUM
easat-7589	389	8	.	.	PUNCT
easat-7589	390	1	[	[	X
easat-7589	390	2	36	36	NUM
easat-7589	390	3	]	]	X
easat-7589	390	4	j.	j.	PROPN
easat-7589	390	5	white	white	PROPN
easat-7589	390	6	and	and	CCONJ
easat-7589	390	7	s.	s.	PROPN
easat-7589	390	8	d.	d.	PROPN
easat-7589	390	9	power	power	PROPN
easat-7589	390	10	,	,	PUNCT
easat-7589	390	11	"	"	PUNCT
easat-7589	390	12	k	k	ADJ
easat-7589	390	13	-	-	ADJ
easat-7589	390	14	fold	fold	ADJ
easat-7589	390	15	cross	cross	NOUN
easat-7589	390	16	-	-	ADJ
easat-7589	390	17	validation	validation	ADJ
easat-7589	390	18	can	can	AUX
easat-7589	390	19	significantly	significantly	ADV
easat-7589	390	20	over	over	ADP
easat-7589	390	21	-	-	PUNCT
easat-7589	390	22	estimate	estimate	NOUN
easat-7589	390	23	true	true	ADJ
easat-7589	390	24	classification	classification	NOUN
easat-7589	390	25	accuracy	accuracy	NOUN
easat-7589	390	26	in	in	ADP
easat-7589	390	27	common	common	ADJ
easat-7589	390	28	eeg	eeg	NOUN
easat-7589	390	29	-	-	PUNCT
easat-7589	390	30	based	base	VERB
easat-7589	390	31	passive	passive	ADJ
easat-7589	390	32	bci	bci	ADJ
easat-7589	390	33	experimental	experimental	ADJ
easat-7589	390	34	designs	design	NOUN
easat-7589	390	35	:	:	PUNCT
easat-7589	390	36	an	an	DET
easat-7589	390	37	empirical	empirical	ADJ
easat-7589	390	38	investigation	investigation	NOUN
easat-7589	390	39	,	,	PUNCT
easat-7589	390	40	"	"	PUNCT
easat-7589	390	41	sensors	sensor	NOUN
easat-7589	390	42	,	,	PUNCT
easat-7589	390	43	vol	vol	NOUN
easat-7589	390	44	.	.	PROPN
easat-7589	390	45	23	23	NUM
easat-7589	390	46	,	,	PUNCT
easat-7589	390	47	no	no	INTJ
easat-7589	390	48	.	.	NOUN
easat-7589	390	49	13	13	NUM
easat-7589	390	50	,	,	PUNCT
easat-7589	390	51	p.	p.	NOUN
easat-7589	390	52	6077	6077	NUM
easat-7589	390	53	,	,	PUNCT
easat-7589	390	54	2023	2023	NUM
easat-7589	390	55	.	.	PUNCT
easat-7589	391	1	https://doi.org/10.3390/s23136077	https://doi.org/10.3390/s23136077	PUNCT
easat-7589	392	1	[	[	X
easat-7589	392	2	37	37	NUM
easat-7589	392	3	]	]	PUNCT
easat-7589	392	4	r.	r.	PROPN
easat-7589	392	5	kohavi	kohavi	PROPN
easat-7589	392	6	,	,	PUNCT
easat-7589	392	7	"	"	PUNCT
easat-7589	392	8	a	a	DET
easat-7589	392	9	study	study	NOUN
easat-7589	392	10	of	of	ADP
easat-7589	392	11	cross	cross	ADJ
easat-7589	392	12	-	-	ADJ
easat-7589	392	13	validation	validation	NOUN
easat-7589	392	14	and	and	CCONJ
easat-7589	392	15	bootstrap	bootstrap	NOUN
easat-7589	392	16	for	for	ADP
easat-7589	392	17	accuracy	accuracy	NOUN
easat-7589	392	18	estimation	estimation	NOUN
easat-7589	392	19	and	and	CCONJ
easat-7589	392	20	model	model	NOUN
easat-7589	392	21	selection	selection	NOUN
easat-7589	392	22	,	,	PUNCT
easat-7589	392	23	"	"	PUNCT
easat-7589	392	24	in	in	ADP
easat-7589	392	25	proceedings	proceeding	NOUN
easat-7589	392	26	of	of	ADP
easat-7589	392	27	the	the	DET
easat-7589	392	28	14th	14th	ADJ
easat-7589	392	29	international	international	ADJ
easat-7589	392	30	joint	joint	ADJ
easat-7589	392	31	conference	conference	NOUN
easat-7589	392	32	on	on	ADP
easat-7589	392	33	artificial	artificial	ADJ
easat-7589	392	34	intelligence	intelligence	NOUN
easat-7589	392	35	volume	volume	NOUN
easat-7589	392	36	2	2	NUM
easat-7589	392	37	(	(	PUNCT
easat-7589	392	38	ijcai'95	ijcai'95	PROPN
easat-7589	392	39	)	)	PUNCT
easat-7589	392	40	morgan	morgan	PROPN
easat-7589	392	41	kaufmann	kaufmann	PROPN
easat-7589	392	42	publishers	publishers	PROPN
easat-7589	392	43	san	san	PROPN
easat-7589	392	44	francisco	francisco	PROPN
easat-7589	392	45	1995	1995	NUM
easat-7589	392	46	.	.	PUNCT
easat-7589	393	1	[	[	X
easat-7589	393	2	38	38	NUM
easat-7589	393	3	]	]	X
easat-7589	393	4	y.	y.	PROPN
easat-7589	393	5	zhang	zhang	PROPN
easat-7589	393	6	and	and	CCONJ
easat-7589	393	7	y.	y.	PROPN
easat-7589	393	8	yang	yang	PROPN
easat-7589	393	9	,	,	PUNCT
easat-7589	393	10	"	"	PUNCT
easat-7589	393	11	cross	cross	NOUN
easat-7589	393	12	-	-	NOUN
easat-7589	393	13	validation	validation	NOUN
easat-7589	393	14	for	for	ADP
easat-7589	393	15	selecting	select	VERB
easat-7589	393	16	a	a	DET
easat-7589	393	17	model	model	NOUN
easat-7589	393	18	selection	selection	NOUN
easat-7589	393	19	procedure	procedure	NOUN
easat-7589	393	20	,	,	PUNCT
easat-7589	393	21	"	"	PUNCT
easat-7589	393	22	journal	journal	NOUN
easat-7589	393	23	of	of	ADP
easat-7589	393	24	econometrics	econometric	NOUN
easat-7589	393	25	,	,	PUNCT
easat-7589	393	26	vol	vol	NOUN
easat-7589	393	27	.	.	PROPN
easat-7589	393	28	187	187	NUM
easat-7589	393	29	,	,	PUNCT
easat-7589	393	30	no	no	INTJ
easat-7589	393	31	.	.	NOUN
easat-7589	393	32	1	1	NUM
easat-7589	393	33	,	,	PUNCT
easat-7589	393	34	pp	pp	ADJ
easat-7589	393	35	.	.	PUNCT
easat-7589	394	1	95	95	NUM
easat-7589	394	2	-	-	SYM
easat-7589	394	3	112	112	NUM
easat-7589	394	4	,	,	PUNCT
easat-7589	394	5	2015	2015	NUM
easat-7589	394	6	.	.	PUNCT
easat-7589	395	1	https://doi.org/10.1016/j.jeconom.2015.02.006	https://doi.org/10.1016/j.jeconom.2015.02.006	NUM
easat-7589	396	1	[	[	X
easat-7589	396	2	39	39	NUM
easat-7589	396	3	]	]	PUNCT
easat-7589	396	4	u.	u.	NOUN
easat-7589	396	5	kummaraka	kummaraka	PROPN
easat-7589	396	6	and	and	CCONJ
easat-7589	396	7	p.	p.	PROPN
easat-7589	396	8	srisuradetchai	srisuradetchai	NOUN
easat-7589	396	9	,	,	PUNCT
easat-7589	396	10	"	"	PUNCT
easat-7589	396	11	time	time	NOUN
easat-7589	396	12	-	-	PUNCT
easat-7589	396	13	series	series	NOUN
easat-7589	396	14	interval	interval	NOUN
easat-7589	396	15	forecasting	forecasting	NOUN
easat-7589	396	16	with	with	ADP
easat-7589	396	17	dual	dual	ADJ
easat-7589	396	18	-	-	PUNCT
easat-7589	396	19	output	output	NOUN
easat-7589	396	20	monte	monte	PROPN
easat-7589	396	21	carlo	carlo	PROPN
easat-7589	396	22	dropout	dropout	PROPN
easat-7589	396	23	:	:	PUNCT
easat-7589	396	24	a	a	DET
easat-7589	396	25	case	case	NOUN
easat-7589	396	26	study	study	NOUN
easat-7589	396	27	on	on	ADP
easat-7589	396	28	durian	durian	ADJ
easat-7589	396	29	exports	export	NOUN
easat-7589	396	30	,	,	PUNCT
easat-7589	396	31	"	"	PUNCT
easat-7589	396	32	forecasting	forecasting	NOUN
easat-7589	396	33	,	,	PUNCT
easat-7589	396	34	vol	vol	NOUN
easat-7589	396	35	.	.	PROPN
easat-7589	396	36	6	6	NUM
easat-7589	396	37	,	,	PUNCT
easat-7589	396	38	no	no	INTJ
easat-7589	396	39	.	.	NOUN
easat-7589	396	40	3	3	NUM
easat-7589	396	41	,	,	PUNCT
easat-7589	396	42	pp	pp	ADJ
easat-7589	396	43	.	.	PUNCT
easat-7589	397	1	616	616	NUM
easat-7589	397	2	-	-	SYM
easat-7589	397	3	636	636	NUM
easat-7589	397	4	,	,	PUNCT
easat-7589	397	5	2024	2024	NUM
easat-7589	397	6	.	.	PUNCT
easat-7589	398	1	https://doi.org/10.3390/forecast6030033	https://doi.org/10.3390/forecast6030033	PROPN
easat-7589	398	2	[	[	X
easat-7589	398	3	40	40	NUM
easat-7589	398	4	]	]	PUNCT
easat-7589	398	5	t.	t.	NOUN
easat-7589	398	6	chai	chai	NOUN
easat-7589	398	7	and	and	CCONJ
easat-7589	398	8	r.	r.	PROPN
easat-7589	398	9	r.	r.	PROPN
easat-7589	398	10	draxler	draxler	PROPN
easat-7589	398	11	,	,	PUNCT
easat-7589	398	12	"	"	PUNCT
easat-7589	398	13	root	root	NOUN
easat-7589	398	14	mean	mean	NOUN
easat-7589	398	15	square	square	ADJ
easat-7589	398	16	error	error	NOUN
easat-7589	398	17	(	(	PUNCT
easat-7589	398	18	rmse	rmse	NOUN
easat-7589	398	19	)	)	PUNCT
easat-7589	398	20	or	or	CCONJ
easat-7589	398	21	mean	mean	VERB
easat-7589	398	22	absolute	absolute	ADJ
easat-7589	398	23	error	error	NOUN
easat-7589	398	24	(	(	PUNCT
easat-7589	398	25	mae)?–arguments	mae)?–argument	NOUN
easat-7589	398	26	against	against	ADP
easat-7589	398	27	avoiding	avoid	VERB
easat-7589	398	28	rmse	rmse	NOUN
easat-7589	398	29	in	in	ADP
easat-7589	398	30	the	the	DET
easat-7589	398	31	literature	literature	NOUN
easat-7589	398	32	,	,	PUNCT
easat-7589	398	33	"	"	PUNCT
easat-7589	398	34	geoscientific	geoscientific	PROPN
easat-7589	398	35	model	model	PROPN
easat-7589	398	36	development	development	PROPN
easat-7589	398	37	,	,	PUNCT
easat-7589	398	38	vol	vol	NOUN
easat-7589	398	39	.	.	PROPN
easat-7589	399	1	7	7	NUM
easat-7589	399	2	,	,	PUNCT
easat-7589	399	3	no	no	INTJ
easat-7589	399	4	.	.	NOUN
easat-7589	399	5	3	3	NUM
easat-7589	399	6	,	,	PUNCT
easat-7589	399	7	pp	pp	ADJ
easat-7589	399	8	.	.	PUNCT
easat-7589	400	1	1247	1247	NUM
easat-7589	400	2	-	-	SYM
easat-7589	400	3	1250	1250	NUM
easat-7589	400	4	,	,	PUNCT
easat-7589	400	5	2014	2014	NUM
easat-7589	400	6	.	.	PUNCT
easat-7589	401	1	https://doi.org/10.5194/gmd-7-1247-2014	https://doi.org/10.5194/gmd-7-1247-2014	PUNCT
easat-7589	402	1	[	[	X
easat-7589	402	2	41	41	NUM
easat-7589	402	3	]	]	PUNCT
easat-7589	402	4	k.	k.	PROPN
easat-7589	402	5	suksrikran	suksrikran	PROPN
easat-7589	402	6	and	and	CCONJ
easat-7589	402	7	p.	p.	PROPN
easat-7589	402	8	srisuradetchai	srisuradetchai	NOUN
easat-7589	402	9	,	,	PUNCT
easat-7589	402	10	"	"	PUNCT
easat-7589	402	11	enhanced	enhanced	ADJ
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easat-7589	402	13	k	k	X
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easat-7589	402	21	selection	selection	NOUN
easat-7589	402	22	,	,	PUNCT
easat-7589	402	23	"	"	PUNCT
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easat-7589	402	37	engineering	engineering	NOUN
easat-7589	402	38	(	(	PUNCT
easat-7589	402	39	ict&ke	ict&ke	NOUN
easat-7589	402	40	)	)	PUNCT
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easat-7589	402	45	,	,	PUNCT
easat-7589	402	46	2024	2024	NUM
easat-7589	402	47	;	;	PUNCT
easat-7589	402	48	pp	pp	NUM
easat-7589	402	49	.	.	PUNCT
easat-7589	403	1	1–6	1–6	NUM
easat-7589	403	2	.	.	X
easat-7589	403	3	https://doi.org/10.1109/ictke62841.2024.10787198	https://doi.org/10.1109/ictke62841.2024.10787198	NUM
easat-7589	403	4	,	,	PUNCT
easat-7589	403	5	2024	2024	NUM
easat-7589	403	6	.	.	PUNCT
easat-7589	404	1	[	[	X
easat-7589	404	2	42	42	NUM
easat-7589	404	3	]	]	X
easat-7589	404	4	d.	d.	PROPN
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easat-7589	404	12	d.	d.	PROPN
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easat-7589	404	21	:	:	PUNCT
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easat-7589	404	23	,	,	PUNCT
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easat-7589	404	40	information	information	NOUN
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easat-7589	404	42	modeling	modeling	NOUN
easat-7589	404	43	,	,	PUNCT
easat-7589	404	44	vol	vol	NOUN
easat-7589	404	45	.	.	PROPN
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easat-7589	404	51	,	,	PUNCT
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easat-7589	404	53	.	.	PUNCT
easat-7589	405	1	1316	1316	NUM
easat-7589	405	2	-	-	SYM
easat-7589	405	3	1322	1322	NUM
easat-7589	405	4	,	,	PUNCT
easat-7589	405	5	2015	2015	NUM
easat-7589	405	6	.	.	PUNCT
easat-7589	406	1	https://doi.org/10.1021/acs.jcim.5b00206	https://doi.org/10.1021/acs.jcim.5b00206	NOUN
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easat-7589	406	3	43	43	NUM
easat-7589	406	4	]	]	PUNCT
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easat-7589	406	7	and	and	CCONJ
easat-7589	406	8	p.	p.	PROPN
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easat-7589	406	10	,	,	PUNCT
easat-7589	406	11	"	"	PUNCT
easat-7589	406	12	complementary	complementary	ADJ
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easat-7589	406	15	-	-	PUNCT
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easat-7589	406	19	and	and	CCONJ
easat-7589	406	20	its	its	PRON
easat-7589	406	21	application	application	NOUN
easat-7589	406	22	,	,	PUNCT
easat-7589	406	23	"	"	PUNCT
easat-7589	406	24	mathematics	mathematic	NOUN
easat-7589	406	25	,	,	PUNCT
easat-7589	406	26	vol	vol	NOUN
easat-7589	406	27	.	.	PROPN
easat-7589	406	28	11	11	NUM
easat-7589	406	29	,	,	PUNCT
easat-7589	406	30	no	no	INTJ
easat-7589	406	31	.	.	NOUN
easat-7589	406	32	11	11	NUM
easat-7589	406	33	,	,	PUNCT
easat-7589	406	34	p.	p.	NOUN
easat-7589	406	35	2584	2584	NUM
easat-7589	406	36	,	,	PUNCT
easat-7589	406	37	2023	2023	NUM
easat-7589	406	38	.	.	PUNCT
easat-7589	407	1	https://doi.org/10.3390/math11112584	https://doi.org/10.3390/math11112584	PROPN
easat-7589	407	2	https://doi.org/10.1016/j.neucom.2014.07.007	https://doi.org/10.1016/j.neucom.2014.07.007	PROPN
easat-7589	407	3	https://doi.org/10.3390/math8020286	https://doi.org/10.3390/math8020286	PROPN
easat-7589	407	4	https://doi.org/10.3390/s23020629	https://doi.org/10.3390/s23020629	NUM
easat-7589	407	5	https://doi.org/10.1007/978-3-642-31718-7_43	https://doi.org/10.1007/978-3-642-31718-7_43	PROPN
easat-7589	407	6	https://doi.org/10.1007/978-3-642-35101-3_51	https://doi.org/10.1007/978-3-642-35101-3_51	PROPN
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easat-7589	407	8	https://doi.org/10.3390/electronics12183828	https://doi.org/10.3390/electronics12183828	PROPN
easat-7589	407	9	https://doi.org/10.1038/s41598-024-76909-6	https://doi.org/10.1038/s41598-024-76909-6	NUM
easat-7589	407	10	https://doi.org/10.1038/s41598-022-10358-x	https://doi.org/10.1038/s41598-022-10358-x	PROPN
easat-7589	407	11	https://doi.org/10.3390/s23136077	https://doi.org/10.3390/s23136077	PROPN
easat-7589	407	12	https://doi.org/10.1016/j.jeconom.2015.02.006	https://doi.org/10.1016/j.jeconom.2015.02.006	NUM
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easat-7589	407	14	https://doi.org/10.5194/gmd-7-1247-2014	https://doi.org/10.5194/gmd-7-1247-2014	X
easat-7589	407	15	https://doi.org/10.1109/ictke62841.2024.10787198	https://doi.org/10.1109/ictke62841.2024.10787198	PROPN
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easat-7589	407	17	https://doi.org/10.3390/math11112584	https://doi.org/10.3390/math11112584	X
easat-7589	407	18	2764	2764	NUM
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easat-7589	407	27	-	-	SYM
easat-7589	407	28	8484	8484	NUM
easat-7589	407	29	vol	vol	NOUN
easat-7589	407	30	.	.	PROPN
easat-7589	408	1	9	9	NUM
easat-7589	408	2	,	,	PUNCT
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easat-7589	408	4	.	.	NOUN
easat-7589	408	5	5	5	NUM
easat-7589	408	6	:	:	PUNCT
easat-7589	408	7	2750	2750	NUM
easat-7589	408	8	-	-	SYM
easat-7589	408	9	2764	2764	NUM
easat-7589	408	10	,	,	PUNCT
easat-7589	408	11	2025	2025	NUM
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easat-7589	409	2	44	44	NUM
easat-7589	409	3	]	]	PUNCT
easat-7589	409	4	p.	p.	NOUN
easat-7589	409	5	srisuradetchai	srisuradetchai	PROPN
easat-7589	409	6	and	and	CCONJ
easat-7589	409	7	k.	k.	PROPN
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easat-7589	409	17	parameter	parameter	NOUN
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easat-7589	409	19	a	a	DET
easat-7589	409	20	zero	zero	NUM
easat-7589	409	21	–	–	PUNCT
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easat-7589	409	36	1	1	NUM
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easat-7589	409	39	.	.	PUNCT
easat-7589	410	1	93	93	NUM
easat-7589	410	2	-	-	SYM
easat-7589	410	3	109	109	NUM
easat-7589	410	4	,	,	PUNCT
easat-7589	410	5	2023	2023	NUM
easat-7589	410	6	.	.	PUNCT
easat-7589	411	1	[	[	X
easat-7589	411	2	45	45	NUM
easat-7589	411	3	]	]	PUNCT
easat-7589	411	4	a.	a.	NOUN
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easat-7589	411	13	and	and	CCONJ
easat-7589	411	14	a.	a.	PROPN
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easat-7589	411	40	.	.	PROPN
easat-7589	412	1	22	22	NUM
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easat-7589	412	5	9	9	NUM
easat-7589	412	6	,	,	PUNCT
easat-7589	412	7	pp	pp	ADJ
easat-7589	412	8	.	.	PUNCT
easat-7589	413	1	1341	1341	NUM
easat-7589	413	2	-	-	SYM
easat-7589	413	3	1356	1356	NUM
easat-7589	413	4	,	,	PUNCT
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easat-7589	413	6	.	.	PUNCT
easat-7589	414	1	https://doi.org/10.1109/tnn.2011.2162110	https://doi.org/10.1109/tnn.2011.2162110	PROPN
easat-7589	415	1	[	[	X
easat-7589	415	2	46	46	NUM
easat-7589	415	3	]	]	PUNCT
easat-7589	415	4	t.	t.	PROPN
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easat-7589	415	8	brintrup	brintrup	NOUN
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easat-7589	415	16	,	,	PUNCT
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easat-7589	416	1	4075–4084	4075–4084	NUM
easat-7589	416	2	.	.	PUNCT
easat-7589	417	1	https://proceedings.mlr.press/v80/pearce18a.html	https://proceedings.mlr.press/v80/pearce18a.html	NOUN
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easat-7589	418	1	[	[	X
easat-7589	418	2	47	47	NUM
easat-7589	418	3	]	]	X
easat-7589	418	4	p.	p.	PROPN
easat-7589	418	5	cortez	cortez	PROPN
easat-7589	418	6	,	,	PUNCT
easat-7589	418	7	"	"	PUNCT
easat-7589	418	8	student	student	NOUN
easat-7589	418	9	performance	performance	NOUN
easat-7589	418	10	data	datum	NOUN
easat-7589	418	11	set	set	VERB
easat-7589	418	12	,	,	PUNCT
easat-7589	418	13	"	"	PUNCT
easat-7589	418	14	retrieved	retrieve	VERB
easat-7589	418	15	:	:	PUNCT
easat-7589	418	16	https://archive.ics.uci.edu/ml/datasets/student	https://archive.ics.uci.edu/ml/datasets/student	NOUN
easat-7589	418	17	,	,	PUNCT
easat-7589	418	18	2014	2014	NUM
easat-7589	418	19	.	.	PUNCT
easat-7589	419	1	[	[	X
easat-7589	419	2	48	48	NUM
easat-7589	419	3	]	]	PUNCT
easat-7589	419	4	w.	w.	PROPN
easat-7589	419	5	wolberg	wolberg	PROPN
easat-7589	419	6	,	,	PUNCT
easat-7589	419	7	o.	o.	PROPN
easat-7589	419	8	mangasarian	mangasarian	PROPN
easat-7589	419	9	,	,	PUNCT
easat-7589	419	10	n.	n.	PROPN
easat-7589	419	11	street	street	PROPN
easat-7589	419	12	,	,	PUNCT
easat-7589	419	13	and	and	CCONJ
easat-7589	419	14	w.	w.	PROPN
easat-7589	419	15	street	street	PROPN
easat-7589	419	16	,	,	PUNCT
easat-7589	419	17	"	"	PUNCT
easat-7589	419	18	breast	breast	NOUN
easat-7589	419	19	cancer	cancer	NOUN
easat-7589	419	20	wisconsin	wisconsin	PROPN
easat-7589	419	21	(	(	PUNCT
easat-7589	419	22	diagnostic	diagnostic	ADJ
easat-7589	419	23	)	)	PUNCT
easat-7589	419	24	,	,	PUNCT
easat-7589	419	25	"	"	PUNCT
easat-7589	419	26	uci	uci	PROPN
easat-7589	419	27	machine	machine	NOUN
easat-7589	419	28	learning	learn	VERB
easat-7589	419	29	repository	repository	NOUN
easat-7589	419	30	,	,	PUNCT
easat-7589	419	31	10	10	NUM
easat-7589	419	32	,	,	PUNCT
easat-7589	419	33	c5dw2b	c5dw2b	NOUN
easat-7589	419	34	.	.	PUNCT
easat-7589	420	1	https://doi.org/10.24432/c5dw2b	https://doi.org/10.24432/c5dw2b	NOUN
easat-7589	420	2	,	,	PUNCT
easat-7589	420	3	1995	1995	NUM
easat-7589	420	4	.	.	PUNCT
easat-7589	421	1	[	[	X
easat-7589	421	2	49	49	NUM
easat-7589	421	3	]	]	PUNCT
easat-7589	421	4	r.	r.	PROPN
easat-7589	421	5	todeschini	todeschini	PROPN
easat-7589	421	6	,	,	PUNCT
easat-7589	421	7	p.	p.	NOUN
easat-7589	421	8	gramatica	gramatica	PROPN
easat-7589	421	9	,	,	PUNCT
easat-7589	421	10	r.	r.	PROPN
easat-7589	421	11	provenzani	provenzani	PROPN
easat-7589	421	12	,	,	PUNCT
easat-7589	421	13	and	and	CCONJ
easat-7589	421	14	e.	e.	PROPN
easat-7589	421	15	marengo	marengo	PROPN
easat-7589	421	16	,	,	PUNCT
easat-7589	421	17	"	"	PUNCT
easat-7589	421	18	weighted	weight	VERB
easat-7589	421	19	holistic	holistic	ADJ
easat-7589	421	20	invariant	invariant	ADJ
easat-7589	421	21	molecular	molecular	ADJ
easat-7589	421	22	descriptors	descriptor	NOUN
easat-7589	421	23	.	.	PUNCT
easat-7589	422	1	part	part	NOUN
easat-7589	422	2	2	2	NUM
easat-7589	422	3	.	.	PUNCT
easat-7589	422	4	theory	theory	NOUN
easat-7589	422	5	development	development	NOUN
easat-7589	422	6	and	and	CCONJ
easat-7589	422	7	applications	application	NOUN
easat-7589	422	8	on	on	ADP
easat-7589	422	9	modeling	model	VERB
easat-7589	422	10	physicochemical	physicochemical	ADJ
easat-7589	422	11	properties	property	NOUN
easat-7589	422	12	of	of	ADP
easat-7589	422	13	polyaromatic	polyaromatic	ADJ
easat-7589	422	14	hydrocarbons	hydrocarbon	NOUN
easat-7589	422	15	,	,	PUNCT
easat-7589	422	16	"	"	PUNCT
easat-7589	422	17	chemometrics	chemometric	NOUN
easat-7589	422	18	and	and	CCONJ
easat-7589	422	19	intelligent	intelligent	ADJ
easat-7589	422	20	laboratory	laboratory	NOUN
easat-7589	422	21	systems	system	NOUN
easat-7589	422	22	,	,	PUNCT
easat-7589	422	23	vol	vol	NOUN
easat-7589	422	24	.	.	PROPN
easat-7589	422	25	27	27	NUM
easat-7589	422	26	,	,	PUNCT
easat-7589	422	27	no	no	INTJ
easat-7589	422	28	.	.	NOUN
easat-7589	422	29	2	2	NUM
easat-7589	422	30	,	,	PUNCT
easat-7589	422	31	pp	pp	ADJ
easat-7589	422	32	.	.	PUNCT
easat-7589	423	1	221	221	NUM
easat-7589	423	2	-	-	SYM
easat-7589	423	3	229	229	NUM
easat-7589	423	4	,	,	PUNCT
easat-7589	423	5	1995	1995	NUM
easat-7589	423	6	.	.	PUNCT
easat-7589	424	1	https://doi.org/10.1016/0169-7439(95)80026-6	https://doi.org/10.1016/0169-7439(95)80026-6	PUNCT
easat-7589	425	1	[	[	X
easat-7589	425	2	50	50	NUM
easat-7589	425	3	]	]	PUNCT
easat-7589	425	4	r.	r.	PROPN
easat-7589	425	5	guha	guha	PROPN
easat-7589	425	6	and	and	CCONJ
easat-7589	425	7	p.	p.	PROPN
easat-7589	425	8	c.	c.	PROPN
easat-7589	425	9	jurs	jurs	PROPN
easat-7589	425	10	,	,	PUNCT
easat-7589	425	11	"	"	PUNCT
easat-7589	425	12	development	development	NOUN
easat-7589	425	13	of	of	ADP
easat-7589	425	14	linear	linear	PROPN
easat-7589	425	15	,	,	PUNCT
easat-7589	425	16	ensemble	ensemble	ADJ
easat-7589	425	17	,	,	PUNCT
easat-7589	425	18	and	and	CCONJ
easat-7589	425	19	nonlinear	nonlinear	ADJ
easat-7589	425	20	models	model	NOUN
easat-7589	425	21	for	for	ADP
easat-7589	425	22	the	the	DET
easat-7589	425	23	prediction	prediction	NOUN
easat-7589	425	24	and	and	CCONJ
easat-7589	425	25	interpretation	interpretation	NOUN
easat-7589	425	26	of	of	ADP
easat-7589	425	27	the	the	DET
easat-7589	425	28	biological	biological	ADJ
easat-7589	425	29	activity	activity	NOUN
easat-7589	425	30	of	of	ADP
easat-7589	425	31	a	a	DET
easat-7589	425	32	set	set	NOUN
easat-7589	425	33	of	of	ADP
easat-7589	425	34	pdgfr	pdgfr	ADJ
easat-7589	425	35	inhibitors	inhibitor	NOUN
easat-7589	425	36	,	,	PUNCT
easat-7589	425	37	"	"	PUNCT
easat-7589	425	38	journal	journal	NOUN
easat-7589	425	39	of	of	ADP
easat-7589	425	40	chemical	chemical	ADJ
easat-7589	425	41	information	information	NOUN
easat-7589	425	42	and	and	CCONJ
easat-7589	425	43	computer	computer	NOUN
easat-7589	425	44	sciences	science	NOUN
easat-7589	425	45	,	,	PUNCT
easat-7589	425	46	vol	vol	NOUN
easat-7589	425	47	.	.	PROPN
easat-7589	425	48	44	44	NUM
easat-7589	425	49	,	,	PUNCT
easat-7589	425	50	no	no	INTJ
easat-7589	425	51	.	.	NOUN
easat-7589	425	52	6	6	NUM
easat-7589	425	53	,	,	PUNCT
easat-7589	425	54	pp	pp	ADJ
easat-7589	425	55	.	.	PUNCT
easat-7589	425	56	2179	2179	NUM
easat-7589	425	57	-	-	SYM
easat-7589	425	58	2189	2189	NUM
easat-7589	425	59	,	,	PUNCT
easat-7589	425	60	2004	2004	NUM
easat-7589	425	61	.	.	PUNCT
easat-7589	426	1	https://doi.org/10.1021/ci049849f	https://doi.org/10.1021/ci049849f	NOUN
easat-7589	427	1	[	[	X
easat-7589	427	2	51	51	NUM
easat-7589	427	3	]	]	PUNCT
easat-7589	427	4	d.	d.	PROPN
easat-7589	427	5	harrison	harrison	PROPN
easat-7589	427	6	jr	jr	PROPN
easat-7589	427	7	and	and	CCONJ
easat-7589	427	8	d.	d.	PROPN
easat-7589	427	9	l.	l.	PROPN
easat-7589	427	10	rubinfeld	rubinfeld	PROPN
easat-7589	427	11	,	,	PUNCT
easat-7589	427	12	"	"	PUNCT
easat-7589	427	13	hedonic	hedonic	ADJ
easat-7589	427	14	housing	housing	NOUN
easat-7589	427	15	prices	price	NOUN
easat-7589	427	16	and	and	CCONJ
easat-7589	427	17	the	the	DET
easat-7589	427	18	demand	demand	NOUN
easat-7589	427	19	for	for	ADP
easat-7589	427	20	clean	clean	ADJ
easat-7589	427	21	air	air	NOUN
easat-7589	427	22	,	,	PUNCT
easat-7589	427	23	"	"	PUNCT
easat-7589	427	24	journal	journal	NOUN
easat-7589	427	25	of	of	ADP
easat-7589	427	26	environmental	environmental	ADJ
easat-7589	427	27	economics	economic	NOUN
easat-7589	427	28	and	and	CCONJ
easat-7589	427	29	management	management	NOUN
easat-7589	427	30	,	,	PUNCT
easat-7589	427	31	vol	vol	NOUN
easat-7589	427	32	.	.	PROPN
easat-7589	427	33	5	5	NUM
easat-7589	427	34	,	,	PUNCT
easat-7589	427	35	no	no	INTJ
easat-7589	427	36	.	.	NOUN
easat-7589	427	37	1	1	NUM
easat-7589	427	38	,	,	PUNCT
easat-7589	427	39	pp	pp	ADJ
easat-7589	427	40	.	.	PUNCT
easat-7589	428	1	81	81	NUM
easat-7589	428	2	-	-	SYM
easat-7589	428	3	102	102	NUM
easat-7589	428	4	,	,	PUNCT
easat-7589	428	5	1978	1978	NUM
easat-7589	428	6	.	.	PUNCT
easat-7589	429	1	https://doi.org/10.1016/0095-0696(78)90006-2	https://doi.org/10.1016/0095-0696(78)90006-2	PROPN
easat-7589	429	2	[	[	X
easat-7589	429	3	52	52	NUM
easat-7589	429	4	]	]	PUNCT
easat-7589	429	5	h.	h.	PROPN
easat-7589	429	6	kubinyi	kubinyi	PROPN
easat-7589	429	7	,	,	PUNCT
easat-7589	429	8	"	"	PUNCT
easat-7589	429	9	qsar	qsar	NOUN
easat-7589	429	10	:	:	PUNCT
easat-7589	429	11	hansch	hansch	VERB
easat-7589	429	12	analysis	analysis	NOUN
easat-7589	429	13	and	and	CCONJ
easat-7589	429	14	related	relate	VERB
easat-7589	429	15	approaches	approach	NOUN
easat-7589	429	16	methods	method	NOUN
easat-7589	429	17	and	and	CCONJ
easat-7589	429	18	principles	principle	NOUN
easat-7589	429	19	in	in	ADP
easat-7589	429	20	medicinal	medicinal	ADJ
easat-7589	429	21	chemistry	chemistry	NOUN
easat-7589	429	22	.	.	PUNCT
easat-7589	429	23	"	"	PUNCT
easat-7589	430	1	germany	germany	PROPN
easat-7589	430	2	:	:	PUNCT
easat-7589	430	3	wiley	wiley	PROPN
easat-7589	430	4	-	-	PUNCT
easat-7589	430	5	vch	vch	PROPN
easat-7589	430	6	,	,	PUNCT
easat-7589	430	7	1993	1993	NUM
easat-7589	430	8	,	,	PUNCT
easat-7589	430	9	p.	p.	NOUN
easat-7589	430	10	438	438	NUM
easat-7589	430	11	.	.	PUNCT
easat-7589	431	1	[	[	X
easat-7589	431	2	53	53	NUM
easat-7589	431	3	]	]	PUNCT
easat-7589	431	4	c.	c.	PROPN
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easat-7589	431	6	and	and	CCONJ
easat-7589	431	7	h.	h.	PROPN
easat-7589	431	8	h.	h.	PROPN
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easat-7589	431	10	,	,	PUNCT
easat-7589	431	11	"	"	PUNCT
easat-7589	431	12	optimal	optimal	ADJ
easat-7589	431	13	minimal	minimal	ADJ
easat-7589	431	14	neural	neural	ADJ
easat-7589	431	15	interpretation	interpretation	NOUN
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easat-7589	431	17	spectra	spectra	NOUN
easat-7589	431	18	,	,	PUNCT
easat-7589	431	19	"	"	PUNCT
easat-7589	431	20	analytical	analytical	ADJ
easat-7589	431	21	chemistry	chemistry	NOUN
easat-7589	431	22	,	,	PUNCT
easat-7589	431	23	vol	vol	NOUN
easat-7589	431	24	.	.	PROPN
easat-7589	431	25	64	64	NUM
easat-7589	431	26	,	,	PUNCT
easat-7589	431	27	no	no	INTJ
easat-7589	431	28	.	.	NOUN
easat-7589	431	29	5	5	NUM
easat-7589	431	30	,	,	PUNCT
easat-7589	431	31	pp	pp	ADJ
easat-7589	431	32	.	.	PUNCT
easat-7589	432	1	545	545	NUM
easat-7589	432	2	-	-	SYM
easat-7589	432	3	551	551	NUM
easat-7589	432	4	,	,	PUNCT
easat-7589	432	5	1992	1992	NUM
easat-7589	432	6	.	.	PUNCT
easat-7589	433	1	https://doi.org/10.1021/ac00029a018	https://doi.org/10.1021/ac00029a018	NOUN
easat-7589	433	2	[	[	X
easat-7589	433	3	54	54	NUM
easat-7589	433	4	]	]	PUNCT
easat-7589	433	5	j.	j.	PROPN
easat-7589	433	6	h.	h.	PROPN
easat-7589	433	7	friedman	friedman	PROPN
easat-7589	433	8	,	,	PUNCT
easat-7589	433	9	"	"	PUNCT
easat-7589	433	10	greedy	greedy	ADJ
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easat-7589	433	13	:	:	PUNCT
easat-7589	433	14	a	a	DET
easat-7589	433	15	gradient	gradient	ADJ
easat-7589	433	16	boosting	boost	VERB
easat-7589	433	17	machine	machine	NOUN
easat-7589	433	18	,	,	PUNCT
easat-7589	433	19	"	"	PUNCT
easat-7589	433	20	annals	annals	NOUN
easat-7589	433	21	of	of	ADP
easat-7589	433	22	statistics	statistic	NOUN
easat-7589	433	23	,	,	PUNCT
easat-7589	433	24	pp	pp	ADP
easat-7589	433	25	.	.	PUNCT
easat-7589	434	1	1189	1189	NUM
easat-7589	434	2	-	-	SYM
easat-7589	434	3	1232	1232	NUM
easat-7589	434	4	,	,	PUNCT
easat-7589	434	5	2001	2001	NUM
easat-7589	434	6	.	.	PUNCT
easat-7589	435	1	[	[	X
easat-7589	435	2	55	55	NUM
easat-7589	435	3	]	]	PUNCT
easat-7589	435	4	j.	j.	PROPN
easat-7589	435	5	helliwell	helliwell	PROPN
easat-7589	435	6	,	,	PUNCT
easat-7589	435	7	r.	r.	PROPN
easat-7589	435	8	layard	layard	PROPN
easat-7589	435	9	,	,	PUNCT
easat-7589	435	10	and	and	CCONJ
easat-7589	435	11	j.	j.	PROPN
easat-7589	435	12	sachs	sachs	PROPN
easat-7589	435	13	,	,	PUNCT
easat-7589	435	14	world	world	NOUN
easat-7589	435	15	happiness	happiness	NOUN
easat-7589	435	16	report	report	NOUN
easat-7589	435	17	.	.	PUNCT
easat-7589	436	1	new	new	PROPN
easat-7589	436	2	york	york	PROPN
easat-7589	436	3	:	:	PUNCT
easat-7589	436	4	sustainable	sustainable	ADJ
easat-7589	436	5	development	development	NOUN
easat-7589	436	6	solutions	solution	NOUN
easat-7589	436	7	network	network	NOUN
easat-7589	436	8	,	,	PUNCT
easat-7589	436	9	2017	2017	NUM
easat-7589	436	10	.	.	PUNCT
easat-7589	437	1	[	[	X
easat-7589	437	2	56	56	NUM
easat-7589	437	3	]	]	PUNCT
easat-7589	437	4	openml	openml	NOUN
easat-7589	437	5	.	.	PUNCT
easat-7589	438	1	dataset	dataset	NOUN
easat-7589	438	2	-	-	PUNCT
easat-7589	438	3	autohorse_fixed	autohorse_fixe	VERB
easat-7589	438	4	,	,	PUNCT
easat-7589	438	5	"	"	PUNCT
easat-7589	438	6	openml	openml	NOUN
easat-7589	438	7	.	.	PUNCT
easat-7589	439	1	dataset	dataset	NOUN
easat-7589	439	2	-	-	PUNCT
easat-7589	439	3	autohorse_fixed	autohorse_fixe	VERB
easat-7589	439	4	,	,	PUNCT
easat-7589	439	5	"	"	PUNCT
easat-7589	439	6	retrieved	retrieve	VERB
easat-7589	439	7	:	:	PUNCT
easat-7589	440	1	https://www.openml.org/d/42224	https://www.openml.org/d/42224	PROPN
easat-7589	440	2	.	.	PUNCT
easat-7589	441	1	[	[	X
easat-7589	441	2	accessed	access	VERB
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easat-7589	441	4	.	.	PUNCT
easat-7589	442	1	[	[	X
easat-7589	442	2	57	57	NUM
easat-7589	442	3	]	]	PUNCT
easat-7589	442	4	m.	m.	NOUN
easat-7589	442	5	rafiei	rafiei	PROPN
easat-7589	442	6	,	,	PUNCT
easat-7589	442	7	"	"	PUNCT
easat-7589	442	8	residential	residential	ADJ
easat-7589	442	9	building	building	NOUN
easat-7589	442	10	data	datum	NOUN
easat-7589	442	11	set	set	VERB
easat-7589	442	12	,	,	PUNCT
easat-7589	442	13	"	"	PUNCT
easat-7589	442	14	uci	uci	PROPN
easat-7589	442	15	machine	machine	NOUN
easat-7589	442	16	learning	learn	VERB
easat-7589	442	17	repository	repository	NOUN
easat-7589	442	18	,	,	PUNCT
easat-7589	442	19	2018	2018	NUM
easat-7589	442	20	.	.	PUNCT
easat-7589	443	1	https://doi.org/10.24432/c5s896	https://doi.org/10.24432/c5s896	NOUN
easat-7589	443	2	[	[	X
easat-7589	443	3	58	58	NUM
easat-7589	443	4	]	]	PUNCT
easat-7589	443	5	m.	m.	NOUN
easat-7589	443	6	redmond	redmond	PROPN
easat-7589	443	7	,	,	PUNCT
easat-7589	443	8	"	"	PUNCT
easat-7589	443	9	communities	community	NOUN
easat-7589	443	10	and	and	CCONJ
easat-7589	443	11	crime	crime	NOUN
easat-7589	443	12	,	,	PUNCT
easat-7589	443	13	"	"	PUNCT
easat-7589	443	14	uci	uci	PROPN
easat-7589	443	15	mach	mach	NOUN
easat-7589	443	16	.	.	PUNCT
easat-7589	444	1	learn	learn	VERB
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easat-7589	445	1	repos	repos	PROPN
easat-7589	445	2	.	.	PUNCT
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easat-7589	446	2	,	,	PUNCT
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easat-7589	446	4	.	.	PUNCT
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easat-7589	449	2	-	-	SYM
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easat-7589	449	4	,	,	PUNCT
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easat-7589	449	6	.	.	PUNCT
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easat-7589	451	24	-	-	PUNCT
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easat-7589	452	4	.	.	PUNCT
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