id	sid	tid	token	lemma	pos
ajst-26753	1	1	academic	academic	ADJ
ajst-26753	1	2	journal	journal	NOUN
ajst-26753	1	3	of	of	ADP
ajst-26753	1	4	science	science	NOUN
ajst-26753	1	5	and	and	CCONJ
ajst-26753	1	6	technology	technology	NOUN
ajst-26753	1	7	issn	issn	NOUN
ajst-26753	1	8	:	:	PUNCT
ajst-26753	1	9	2771	2771	NUM
ajst-26753	1	10	-	-	SYM
ajst-26753	1	11	3032	3032	NUM
ajst-26753	1	12	|	|	NOUN
ajst-26753	1	13	vol	vol	NOUN
ajst-26753	1	14	.	.	PROPN
ajst-26753	1	15	13	13	NUM
ajst-26753	1	16	,	,	PUNCT
ajst-26753	1	17	no	no	INTJ
ajst-26753	1	18	.	.	NOUN
ajst-26753	1	19	1	1	NUM
ajst-26753	1	20	,	,	PUNCT
ajst-26753	1	21	2024	2024	NUM
ajst-26753	1	22	78	78	NUM
ajst-26753	1	23	competitive	competitive	ADJ
ajst-26753	1	24	sports	sport	NOUN
ajst-26753	1	25	research	research	NOUN
ajst-26753	1	26	based	base	VERB
ajst-26753	1	27	on	on	ADP
ajst-26753	1	28	data	data	NOUN
ajst-26753	1	29	analytics	analytic	NOUN
ajst-26753	1	30	and	and	CCONJ
ajst-26753	1	31	machine	machine	NOUN
ajst-26753	1	32	learning	learning	NOUN
ajst-26753	1	33	models	model	NOUN
ajst-26753	1	34	shuting	shut	VERB
ajst-26753	1	35	hou1	hou1	PROPN
ajst-26753	1	36	,	,	PUNCT
ajst-26753	1	37	*	*	PUNCT
ajst-26753	1	38	,	,	PUNCT
ajst-26753	1	39	xile	xile	ADJ
ajst-26753	1	40	lan1	lan1	PROPN
ajst-26753	1	41	,	,	PUNCT
ajst-26753	1	42	huiyao	huiyao	PROPN
ajst-26753	1	43	zhang1	zhang1	PROPN
ajst-26753	1	44	,	,	PUNCT
ajst-26753	1	45	xingying	xingye	VERB
ajst-26753	1	46	luo1	luo1	PROPN
ajst-26753	1	47	1school	1school	NUM
ajst-26753	1	48	of	of	ADP
ajst-26753	1	49	computer	computer	NOUN
ajst-26753	1	50	and	and	CCONJ
ajst-26753	1	51	electronic	electronic	ADJ
ajst-26753	1	52	information	information	NOUN
ajst-26753	1	53	,	,	PUNCT
ajst-26753	1	54	guangxi	guangxi	PROPN
ajst-26753	1	55	university	university	PROPN
ajst-26753	1	56	,	,	PUNCT
ajst-26753	1	57	nanning	nanning	PROPN
ajst-26753	1	58	,	,	PUNCT
ajst-26753	1	59	china	china	PROPN
ajst-26753	1	60	*	*	PUNCT
ajst-26753	1	61	corresponding	correspond	VERB
ajst-26753	1	62	author	author	NOUN
ajst-26753	1	63	:	:	PUNCT
ajst-26753	1	64	910800618@qq.com	910800618@qq.com	NUM
ajst-26753	1	65	abstract	abstract	NOUN
ajst-26753	1	66	:	:	PUNCT
ajst-26753	1	67	in	in	ADP
ajst-26753	1	68	contemporary	contemporary	ADJ
ajst-26753	1	69	competitive	competitive	ADJ
ajst-26753	1	70	sports	sport	NOUN
ajst-26753	1	71	,	,	PUNCT
ajst-26753	1	72	data	datum	NOUN
ajst-26753	1	73	analysis	analysis	NOUN
ajst-26753	1	74	and	and	CCONJ
ajst-26753	1	75	modeling	modeling	NOUN
ajst-26753	1	76	applications	application	NOUN
ajst-26753	1	77	have	have	AUX
ajst-26753	1	78	become	become	VERB
ajst-26753	1	79	indispensable	indispensable	ADJ
ajst-26753	1	80	tools	tool	NOUN
ajst-26753	1	81	for	for	ADP
ajst-26753	1	82	optimizing	optimize	VERB
ajst-26753	1	83	training	training	NOUN
ajst-26753	1	84	and	and	CCONJ
ajst-26753	1	85	improving	improve	VERB
ajst-26753	1	86	athletic	athletic	ADJ
ajst-26753	1	87	performance	performance	NOUN
ajst-26753	1	88	.	.	PUNCT
ajst-26753	2	1	to	to	PART
ajst-26753	2	2	effectively	effectively	ADV
ajst-26753	2	3	handle	handle	VERB
ajst-26753	2	4	the	the	DET
ajst-26753	2	5	variety	variety	NOUN
ajst-26753	2	6	and	and	CCONJ
ajst-26753	2	7	changing	change	VERB
ajst-26753	2	8	nature	nature	NOUN
ajst-26753	2	9	of	of	ADP
ajst-26753	2	10	matches	match	NOUN
ajst-26753	2	11	,	,	PUNCT
ajst-26753	2	12	match	match	NOUN
ajst-26753	2	13	data	datum	NOUN
ajst-26753	2	14	is	be	AUX
ajst-26753	2	15	combined	combine	VERB
ajst-26753	2	16	to	to	PART
ajst-26753	2	17	create	create	VERB
ajst-26753	2	18	models	model	NOUN
ajst-26753	2	19	that	that	PRON
ajst-26753	2	20	can	can	AUX
ajst-26753	2	21	manage	manage	VERB
ajst-26753	2	22	intricate	intricate	ADJ
ajst-26753	2	23	match	match	NOUN
ajst-26753	2	24	situations	situation	NOUN
ajst-26753	2	25	.	.	PUNCT
ajst-26753	3	1	in	in	ADP
ajst-26753	3	2	this	this	DET
ajst-26753	3	3	paper	paper	NOUN
ajst-26753	3	4	,	,	PUNCT
ajst-26753	3	5	the	the	DET
ajst-26753	3	6	data	datum	NOUN
ajst-26753	3	7	are	be	AUX
ajst-26753	3	8	normalized	normalize	VERB
ajst-26753	3	9	,	,	PUNCT
ajst-26753	3	10	missing	miss	VERB
ajst-26753	3	11	values	value	NOUN
ajst-26753	3	12	are	be	AUX
ajst-26753	3	13	filled	fill	VERB
ajst-26753	3	14	by	by	ADP
ajst-26753	3	15	interpolation	interpolation	NOUN
ajst-26753	3	16	,	,	PUNCT
ajst-26753	3	17	and	and	CCONJ
ajst-26753	3	18	the	the	DET
ajst-26753	3	19	outlier	outlier	NOUN
ajst-26753	3	20	detection	detection	NOUN
ajst-26753	3	21	based	base	VERB
ajst-26753	3	22	on	on	ADP
ajst-26753	3	23	box	box	PROPN
ajst-26753	3	24	diagram	diagram	NOUN
ajst-26753	3	25	is	be	AUX
ajst-26753	3	26	used	use	VERB
ajst-26753	3	27	to	to	PART
ajst-26753	3	28	complete	complete	VERB
ajst-26753	3	29	the	the	DET
ajst-26753	3	30	preprocessing	preprocessing	NOUN
ajst-26753	3	31	.	.	PUNCT
ajst-26753	4	1	furthermore	furthermore	ADV
ajst-26753	4	2	,	,	PUNCT
ajst-26753	4	3	to	to	PART
ajst-26753	4	4	assess	assess	VERB
ajst-26753	4	5	player	player	NOUN
ajst-26753	4	6	scores	score	NOUN
ajst-26753	4	7	,	,	PUNCT
ajst-26753	4	8	16	16	NUM
ajst-26753	4	9	metrics	metric	NOUN
ajst-26753	4	10	are	be	AUX
ajst-26753	4	11	implemented	implement	VERB
ajst-26753	4	12	,	,	PUNCT
ajst-26753	4	13	conventional	conventional	ADJ
ajst-26753	4	14	machine	machine	NOUN
ajst-26753	4	15	learning	learning	NOUN
ajst-26753	4	16	models	model	NOUN
ajst-26753	4	17	underwent	underwent	ADJ
ajst-26753	4	18	training	training	NOUN
ajst-26753	4	19	,	,	PUNCT
ajst-26753	4	20	and	and	CCONJ
ajst-26753	4	21	the	the	DET
ajst-26753	4	22	top	top	ADV
ajst-26753	4	23	-	-	PUNCT
ajst-26753	4	24	performing	perform	VERB
ajst-26753	4	25	lightgbm	lightgbm	ADJ
ajst-26753	4	26	model	model	NOUN
ajst-26753	4	27	is	be	AUX
ajst-26753	4	28	chosen	choose	VERB
ajst-26753	4	29	,	,	PUNCT
ajst-26753	4	30	indicating	indicate	VERB
ajst-26753	4	31	the	the	DET
ajst-26753	4	32	impact	impact	NOUN
ajst-26753	4	33	of	of	ADP
ajst-26753	4	34	each	each	DET
ajst-26753	4	35	metric	metric	NOUN
ajst-26753	4	36	on	on	ADP
ajst-26753	4	37	the	the	DET
ajst-26753	4	38	score	score	NOUN
ajst-26753	4	39	.	.	PUNCT
ajst-26753	5	1	the	the	DET
ajst-26753	5	2	results	result	NOUN
ajst-26753	5	3	show	show	VERB
ajst-26753	5	4	that	that	SCONJ
ajst-26753	5	5	the	the	DET
ajst-26753	5	6	lightgbm	lightgbm	ADJ
ajst-26753	5	7	model	model	NOUN
ajst-26753	5	8	is	be	AUX
ajst-26753	5	9	highly	highly	ADV
ajst-26753	5	10	robust	robust	ADJ
ajst-26753	5	11	,	,	PUNCT
ajst-26753	5	12	precise	precise	ADJ
ajst-26753	5	13	,	,	PUNCT
ajst-26753	5	14	and	and	CCONJ
ajst-26753	5	15	accurate	accurate	ADJ
ajst-26753	5	16	.	.	PUNCT
ajst-26753	6	1	keywords	keyword	NOUN
ajst-26753	6	2	:	:	PUNCT
ajst-26753	6	3	machine	machine	NOUN
ajst-26753	6	4	learning	learning	NOUN
ajst-26753	6	5	,	,	PUNCT
ajst-26753	6	6	lightgbm	lightgbm	ADJ
ajst-26753	6	7	,	,	PUNCT
ajst-26753	6	8	regression	regression	NOUN
ajst-26753	6	9	modeling	modeling	NOUN
ajst-26753	6	10	.	.	PUNCT
ajst-26753	7	1	1	1	X
ajst-26753	7	2	.	.	X
ajst-26753	7	3	introduction	introduction	NOUN
ajst-26753	7	4	developing	develop	VERB
ajst-26753	7	5	and	and	CCONJ
ajst-26753	7	6	executing	execute	VERB
ajst-26753	7	7	an	an	DET
ajst-26753	7	8	effective	effective	ADJ
ajst-26753	7	9	training	training	NOUN
ajst-26753	7	10	regimen	regiman	NOUN
ajst-26753	7	11	is	be	AUX
ajst-26753	7	12	vital	vital	ADJ
ajst-26753	7	13	in	in	ADP
ajst-26753	7	14	contemporary	contemporary	ADJ
ajst-26753	7	15	sports	sport	NOUN
ajst-26753	7	16	.	.	PUNCT
ajst-26753	8	1	in	in	ADP
ajst-26753	8	2	the	the	DET
ajst-26753	8	3	highly	highly	ADV
ajst-26753	8	4	efficient	efficient	ADJ
ajst-26753	8	5	sport	sport	NOUN
ajst-26753	8	6	of	of	ADP
ajst-26753	8	7	tennis	tennis	NOUN
ajst-26753	8	8	,	,	PUNCT
ajst-26753	8	9	it	it	PRON
ajst-26753	8	10	's	be	AUX
ajst-26753	8	11	crucial	crucial	ADJ
ajst-26753	8	12	to	to	PART
ajst-26753	8	13	provide	provide	VERB
ajst-26753	8	14	the	the	DET
ajst-26753	8	15	athlete	athlete	NOUN
ajst-26753	8	16	with	with	ADP
ajst-26753	8	17	a	a	DET
ajst-26753	8	18	precise	precise	ADJ
ajst-26753	8	19	method	method	NOUN
ajst-26753	8	20	at	at	ADP
ajst-26753	8	21	the	the	DET
ajst-26753	8	22	appropriate	appropriate	ADJ
ajst-26753	8	23	moment	moment	NOUN
ajst-26753	8	24	.	.	PUNCT
ajst-26753	9	1	the	the	DET
ajst-26753	9	2	complexity	complexity	NOUN
ajst-26753	9	3	of	of	ADP
ajst-26753	9	4	this	this	DET
ajst-26753	9	5	challenge	challenge	NOUN
ajst-26753	9	6	escalates	escalate	VERB
ajst-26753	9	7	with	with	ADP
ajst-26753	9	8	the	the	DET
ajst-26753	9	9	variation	variation	NOUN
ajst-26753	9	10	in	in	ADP
ajst-26753	9	11	weather	weather	NOUN
ajst-26753	9	12	patterns	pattern	NOUN
ajst-26753	9	13	and	and	CCONJ
ajst-26753	9	14	the	the	DET
ajst-26753	9	15	involvement	involvement	NOUN
ajst-26753	9	16	of	of	ADP
ajst-26753	9	17	adversaries	adversary	NOUN
ajst-26753	9	18	.	.	PUNCT
ajst-26753	10	1	as	as	ADP
ajst-26753	10	2	data	data	NOUN
ajst-26753	10	3	gathering	gather	VERB
ajst-26753	10	4	technology	technology	NOUN
ajst-26753	10	5	and	and	CCONJ
ajst-26753	10	6	computer	computer	NOUN
ajst-26753	10	7	science	science	NOUN
ajst-26753	10	8	progress	progress	NOUN
ajst-26753	10	9	,	,	PUNCT
ajst-26753	10	10	the	the	DET
ajst-26753	10	11	era	era	NOUN
ajst-26753	10	12	of	of	ADP
ajst-26753	10	13	intelligence	intelligence	NOUN
ajst-26753	10	14	has	have	AUX
ajst-26753	10	15	emerged	emerge	VERB
ajst-26753	10	16	,	,	PUNCT
ajst-26753	10	17	characterized	characterize	VERB
ajst-26753	10	18	by	by	ADP
ajst-26753	10	19	the	the	DET
ajst-26753	10	20	advent	advent	NOUN
ajst-26753	10	21	of	of	ADP
ajst-26753	10	22	data	datum	NOUN
ajst-26753	10	23	,	,	PUNCT
ajst-26753	10	24	algorithms	algorithm	NOUN
ajst-26753	10	25	,	,	PUNCT
ajst-26753	10	26	and	and	CCONJ
ajst-26753	10	27	computational	computational	ADJ
ajst-26753	10	28	capabilities[1	capabilities[1	NUM
ajst-26753	10	29	]	]	PUNCT
ajst-26753	10	30	.	.	PUNCT
ajst-26753	11	1	computer	computer	NOUN
ajst-26753	11	2	vision	vision	NOUN
ajst-26753	11	3	enables	enable	VERB
ajst-26753	11	4	more	more	ADV
ajst-26753	11	5	precise	precise	ADJ
ajst-26753	11	6	tracking	tracking	NOUN
ajst-26753	11	7	of	of	ADP
ajst-26753	11	8	athletes	athlete	NOUN
ajst-26753	11	9	'	'	PART
ajst-26753	11	10	movements	movement	NOUN
ajst-26753	11	11	,	,	PUNCT
ajst-26753	11	12	analysis	analysis	NOUN
ajst-26753	11	13	of	of	ADP
ajst-26753	11	14	game	game	NOUN
ajst-26753	11	15	footage	footage	NOUN
ajst-26753	11	16	,	,	PUNCT
ajst-26753	11	17	assessment	assessment	NOUN
ajst-26753	11	18	of	of	ADP
ajst-26753	11	19	athletic	athletic	ADJ
ajst-26753	11	20	abilities	ability	NOUN
ajst-26753	11	21	,	,	PUNCT
ajst-26753	11	22	and	and	CCONJ
ajst-26753	11	23	the	the	DET
ajst-26753	11	24	provision	provision	NOUN
ajst-26753	11	25	of	of	ADP
ajst-26753	11	26	immediate	immediate	ADJ
ajst-26753	11	27	feedback[2	feedback[2	PROPN
ajst-26753	11	28	]	]	PUNCT
ajst-26753	11	29	.	.	PUNCT
ajst-26753	12	1	through	through	ADP
ajst-26753	12	2	machine	machine	NOUN
ajst-26753	12	3	learning	learning	NOUN
ajst-26753	12	4	,	,	PUNCT
ajst-26753	12	5	sports	sport	NOUN
ajst-26753	12	6	can	can	AUX
ajst-26753	12	7	create	create	VERB
ajst-26753	12	8	tailored	tailored	ADJ
ajst-26753	12	9	training	training	NOUN
ajst-26753	12	10	advice	advice	NOUN
ajst-26753	12	11	for	for	ADP
ajst-26753	12	12	athletes	athlete	NOUN
ajst-26753	12	13	.	.	PUNCT
ajst-26753	13	1	in	in	ADP
ajst-26753	13	2	the	the	DET
ajst-26753	13	3	era	era	NOUN
ajst-26753	13	4	of	of	ADP
ajst-26753	13	5	information	information	NOUN
ajst-26753	13	6	technology	technology	NOUN
ajst-26753	13	7	,	,	PUNCT
ajst-26753	13	8	the	the	DET
ajst-26753	13	9	fusion	fusion	NOUN
ajst-26753	13	10	of	of	ADP
ajst-26753	13	11	digital	digital	ADJ
ajst-26753	13	12	media	medium	NOUN
ajst-26753	13	13	and	and	CCONJ
ajst-26753	13	14	sports	sport	NOUN
ajst-26753	13	15	is	be	AUX
ajst-26753	13	16	set	set	VERB
ajst-26753	13	17	to	to	PART
ajst-26753	13	18	pave	pave	VERB
ajst-26753	13	19	the	the	DET
ajst-26753	13	20	way	way	NOUN
ajst-26753	13	21	for	for	ADP
ajst-26753	13	22	novel	novel	ADJ
ajst-26753	13	23	avenues	avenue	NOUN
ajst-26753	13	24	in	in	ADP
ajst-26753	13	25	sports	sport	NOUN
ajst-26753	13	26	,	,	PUNCT
ajst-26753	13	27	with	with	ADP
ajst-26753	13	28	the	the	DET
ajst-26753	13	29	continual	continual	ADJ
ajst-26753	13	30	integration	integration	NOUN
ajst-26753	13	31	of	of	ADP
ajst-26753	13	32	artificial	artificial	ADJ
ajst-26753	13	33	intelligence	intelligence	NOUN
ajst-26753	13	34	technology	technology	NOUN
ajst-26753	13	35	in	in	ADP
ajst-26753	13	36	the	the	DET
ajst-26753	13	37	realm	realm	NOUN
ajst-26753	13	38	of	of	ADP
ajst-26753	13	39	sports	sport	NOUN
ajst-26753	13	40	[	[	X
ajst-26753	13	41	3	3	NUM
ajst-26753	13	42	]	]	PUNCT
ajst-26753	13	43	.	.	PUNCT
ajst-26753	14	1	2	2	X
ajst-26753	14	2	.	.	X
ajst-26753	14	3	machine	machine	NOUN
ajst-26753	14	4	learning	learn	VERB
ajst-26753	14	5	machine	machine	NOUN
ajst-26753	14	6	learning	learning	NOUN
ajst-26753	14	7	involves	involve	VERB
ajst-26753	14	8	an	an	DET
ajst-26753	14	9	algorithm	algorithm	NOUN
ajst-26753	14	10	that	that	PRON
ajst-26753	14	11	assesses	assess	VERB
ajst-26753	14	12	and	and	CCONJ
ajst-26753	14	13	forecasts	forecast	VERB
ajst-26753	14	14	an	an	DET
ajst-26753	14	15	athlete	athlete	NOUN
ajst-26753	14	16	's	's	PART
ajst-26753	14	17	performance	performance	NOUN
ajst-26753	14	18	in	in	ADP
ajst-26753	14	19	matches	match	NOUN
ajst-26753	14	20	through	through	ADP
ajst-26753	14	21	datadriven	datadriven	ADJ
ajst-26753	14	22	learning	learning	NOUN
ajst-26753	14	23	and	and	CCONJ
ajst-26753	14	24	enhancement	enhancement	NOUN
ajst-26753	14	25	.	.	PUNCT
ajst-26753	15	1	through	through	ADP
ajst-26753	15	2	model	model	NOUN
ajst-26753	15	3	training	training	NOUN
ajst-26753	15	4	,	,	PUNCT
ajst-26753	15	5	a	a	DET
ajst-26753	15	6	machine	machine	NOUN
ajst-26753	15	7	is	be	AUX
ajst-26753	15	8	capable	capable	ADJ
ajst-26753	15	9	of	of	ADP
ajst-26753	15	10	discerning	discern	VERB
ajst-26753	15	11	patterns	pattern	NOUN
ajst-26753	15	12	and	and	CCONJ
ajst-26753	15	13	consistencies	consistency	NOUN
ajst-26753	15	14	in	in	ADP
ajst-26753	15	15	an	an	DET
ajst-26753	15	16	athlete	athlete	NOUN
ajst-26753	15	17	's	's	PART
ajst-26753	15	18	tennis	tennis	NOUN
ajst-26753	15	19	performance	performance	NOUN
ajst-26753	15	20	using	use	VERB
ajst-26753	15	21	past	past	ADJ
ajst-26753	15	22	data	datum	NOUN
ajst-26753	15	23	,	,	PUNCT
ajst-26753	15	24	subsequently	subsequently	ADV
ajst-26753	15	25	applying	apply	VERB
ajst-26753	15	26	this	this	DET
ajst-26753	15	27	insight	insight	NOUN
ajst-26753	15	28	to	to	PART
ajst-26753	15	29	forecast	forecast	VERB
ajst-26753	15	30	and	and	CCONJ
ajst-26753	15	31	scrutinize	scrutinize	VERB
ajst-26753	15	32	upcoming	upcoming	PROPN
ajst-26753	15	33	games	game	NOUN
ajst-26753	15	34	.	.	PUNCT
ajst-26753	16	1	widely	widely	ADV
ajst-26753	16	2	utilized	utilize	VERB
ajst-26753	16	3	algorithms	algorithm	NOUN
ajst-26753	16	4	in	in	ADP
ajst-26753	16	5	machine	machine	NOUN
ajst-26753	16	6	learning	learning	NOUN
ajst-26753	16	7	encompass	encompass	NOUN
ajst-26753	16	8	support	support	NOUN
ajst-26753	16	9	vector	vector	NOUN
ajst-26753	16	10	machines	machine	NOUN
ajst-26753	16	11	,	,	PUNCT
ajst-26753	16	12	random	random	ADJ
ajst-26753	16	13	forests	forest	NOUN
ajst-26753	16	14	,	,	PUNCT
ajst-26753	16	15	neural	neural	ADJ
ajst-26753	16	16	networks	network	NOUN
ajst-26753	16	17	,	,	PUNCT
ajst-26753	16	18	and	and	CCONJ
ajst-26753	16	19	others	other	NOUN
ajst-26753	16	20	.	.	PUNCT
ajst-26753	17	1	such	such	ADJ
ajst-26753	17	2	algorithms	algorithm	NOUN
ajst-26753	17	3	are	be	AUX
ajst-26753	17	4	adaptable	adaptable	ADJ
ajst-26753	17	5	to	to	PART
ajst-26753	17	6	diverse	diverse	VERB
ajst-26753	17	7	tennis	tennis	NOUN
ajst-26753	17	8	datasets	dataset	NOUN
ajst-26753	17	9	,	,	PUNCT
ajst-26753	17	10	including	include	VERB
ajst-26753	17	11	elements	element	NOUN
ajst-26753	17	12	influencing	influence	VERB
ajst-26753	17	13	the	the	DET
ajst-26753	17	14	game	game	NOUN
ajst-26753	17	15	,	,	PUNCT
ajst-26753	17	16	its	its	PRON
ajst-26753	17	17	outcomes	outcome	NOUN
ajst-26753	17	18	,	,	PUNCT
ajst-26753	17	19	the	the	DET
ajst-26753	17	20	status	status	NOUN
ajst-26753	17	21	of	of	ADP
ajst-26753	17	22	the	the	DET
ajst-26753	17	23	player	player	NOUN
ajst-26753	17	24	's	's	PART
ajst-26753	17	25	match	match	NOUN
ajst-26753	17	26	,	,	PUNCT
ajst-26753	17	27	strategic	strategic	ADJ
ajst-26753	17	28	evaluations	evaluation	NOUN
ajst-26753	17	29	,	,	PUNCT
ajst-26753	17	30	and	and	CCONJ
ajst-26753	17	31	so	so	ADV
ajst-26753	17	32	on	on	ADV
ajst-26753	17	33	,	,	PUNCT
ajst-26753	17	34	to	to	PART
ajst-26753	17	35	enhance	enhance	VERB
ajst-26753	17	36	precision	precision	NOUN
ajst-26753	17	37	in	in	ADP
ajst-26753	17	38	assessment	assessment	NOUN
ajst-26753	17	39	and	and	CCONJ
ajst-26753	17	40	forecasting	forecasting	NOUN
ajst-26753	17	41	.	.	PUNCT
ajst-26753	18	1	machine	machine	NOUN
ajst-26753	18	2	learning	learning	NOUN
ajst-26753	18	3	models	model	NOUN
ajst-26753	18	4	,	,	PUNCT
ajst-26753	18	5	in	in	ADP
ajst-26753	18	6	contrast	contrast	NOUN
ajst-26753	18	7	to	to	ADP
ajst-26753	18	8	conventional	conventional	ADJ
ajst-26753	18	9	statistical	statistical	ADJ
ajst-26753	18	10	models	model	NOUN
ajst-26753	18	11	,	,	PUNCT
ajst-26753	18	12	possess	possess	VERB
ajst-26753	18	13	parallel	parallel	ADJ
ajst-26753	18	14	computing	computing	NOUN
ajst-26753	18	15	capabilities	capability	NOUN
ajst-26753	18	16	,	,	PUNCT
ajst-26753	18	17	enhancing	enhance	VERB
ajst-26753	18	18	the	the	DET
ajst-26753	18	19	speed	speed	NOUN
ajst-26753	18	20	of	of	ADP
ajst-26753	18	21	handling	handle	VERB
ajst-26753	18	22	extensive	extensive	ADJ
ajst-26753	18	23	sports	sport	NOUN
ajst-26753	18	24	data	datum	NOUN
ajst-26753	18	25	and	and	CCONJ
ajst-26753	18	26	lessening	lessen	VERB
ajst-26753	18	27	the	the	DET
ajst-26753	18	28	training	training	NOUN
ajst-26753	18	29	duration	duration	NOUN
ajst-26753	18	30	and	and	CCONJ
ajst-26753	18	31	resources	resource	NOUN
ajst-26753	18	32	required	require	VERB
ajst-26753	18	33	for	for	ADP
ajst-26753	18	34	the	the	DET
ajst-26753	18	35	model	model	NOUN
ajst-26753	18	36	.	.	PUNCT
ajst-26753	19	1	furthermore	furthermore	ADV
ajst-26753	19	2	,	,	PUNCT
ajst-26753	19	3	machine	machine	NOUN
ajst-26753	19	4	learning	learning	NOUN
ajst-26753	19	5	models	model	NOUN
ajst-26753	19	6	can	can	AUX
ajst-26753	19	7	utilize	utilize	VERB
ajst-26753	19	8	feature	feature	NOUN
ajst-26753	19	9	selection	selection	NOUN
ajst-26753	19	10	and	and	CCONJ
ajst-26753	19	11	dimensionality	dimensionality	NOUN
ajst-26753	19	12	reduction	reduction	NOUN
ajst-26753	19	13	methods	method	NOUN
ajst-26753	19	14	to	to	PART
ajst-26753	19	15	simplify	simplify	VERB
ajst-26753	19	16	data	datum	NOUN
ajst-26753	19	17	dimensions	dimension	NOUN
ajst-26753	19	18	when	when	SCONJ
ajst-26753	19	19	dealing	deal	VERB
ajst-26753	19	20	with	with	ADP
ajst-26753	19	21	diverse	diverse	ADJ
ajst-26753	19	22	and	and	CCONJ
ajst-26753	19	23	multivariate	multivariate	NOUN
ajst-26753	19	24	data	datum	NOUN
ajst-26753	19	25	,	,	PUNCT
ajst-26753	19	26	thereby	thereby	ADV
ajst-26753	19	27	simplifying	simplify	VERB
ajst-26753	19	28	the	the	DET
ajst-26753	19	29	training	training	NOUN
ajst-26753	19	30	process	process	NOUN
ajst-26753	19	31	.	.	PUNCT
ajst-26753	20	1	furthermore	furthermore	ADV
ajst-26753	20	2	,	,	PUNCT
ajst-26753	20	3	machine	machine	NOUN
ajst-26753	20	4	learning	learning	NOUN
ajst-26753	20	5	models	model	NOUN
ajst-26753	20	6	are	be	AUX
ajst-26753	20	7	capable	capable	ADJ
ajst-26753	20	8	of	of	ADP
ajst-26753	20	9	identifying	identify	VERB
ajst-26753	20	10	and	and	CCONJ
ajst-26753	20	11	handling	handle	VERB
ajst-26753	20	12	complex	complex	ADJ
ajst-26753	20	13	,	,	PUNCT
ajst-26753	20	14	nonlinear	nonlinear	ADJ
ajst-26753	20	15	data	datum	NOUN
ajst-26753	20	16	configurations	configuration	NOUN
ajst-26753	20	17	,	,	PUNCT
ajst-26753	20	18	like	like	ADP
ajst-26753	20	19	building	build	VERB
ajst-26753	20	20	neural	neural	ADJ
ajst-26753	20	21	networks	network	NOUN
ajst-26753	20	22	to	to	PART
ajst-26753	20	23	dynamically	dynamically	ADV
ajst-26753	20	24	investigate	investigate	VERB
ajst-26753	20	25	the	the	DET
ajst-26753	20	26	nonlinear	nonlinear	ADJ
ajst-26753	20	27	interplay	interplay	NOUN
ajst-26753	20	28	among	among	ADP
ajst-26753	20	29	dimensional	dimensional	ADJ
ajst-26753	20	30	data	datum	NOUN
ajst-26753	20	31	,	,	PUNCT
ajst-26753	20	32	thereby	thereby	ADV
ajst-26753	20	33	enhancing	enhance	VERB
ajst-26753	20	34	the	the	DET
ajst-26753	20	35	model	model	NOUN
ajst-26753	20	36	's	's	PART
ajst-26753	20	37	predictive	predictive	ADJ
ajst-26753	20	38	precision	precision	NOUN
ajst-26753	20	39	by	by	ADP
ajst-26753	20	40	finetuning	finetune	VERB
ajst-26753	20	41	the	the	DET
ajst-26753	20	42	possible	possible	ADJ
ajst-26753	20	43	change	change	NOUN
ajst-26753	20	44	patterns	pattern	NOUN
ajst-26753	20	45	in	in	ADP
ajst-26753	20	46	the	the	DET
ajst-26753	20	47	data	datum	NOUN
ajst-26753	20	48	.	.	PUNCT
ajst-26753	21	1	the	the	DET
ajst-26753	21	2	quintet	quintet	NOUN
ajst-26753	21	3	of	of	ADP
ajst-26753	21	4	traditional	traditional	ADJ
ajst-26753	21	5	regression	regression	NOUN
ajst-26753	21	6	frameworks	framework	NOUN
ajst-26753	21	7	includes	include	VERB
ajst-26753	21	8	the	the	DET
ajst-26753	21	9	lightgbm	lightgbm	ADJ
ajst-26753	21	10	classifier	classifier	NOUN
ajst-26753	21	11	,	,	PUNCT
ajst-26753	21	12	xgb	xgb	PROPN
ajst-26753	21	13	classifier	classifier	NOUN
ajst-26753	21	14	,	,	PUNCT
ajst-26753	21	15	svc	svc	PROPN
ajst-26753	21	16	,	,	PUNCT
ajst-26753	21	17	mlp	mlp	NOUN
ajst-26753	21	18	classifier	classifier	NOUN
ajst-26753	21	19	,	,	PUNCT
ajst-26753	21	20	and	and	CCONJ
ajst-26753	21	21	logistic	logistic	ADJ
ajst-26753	21	22	regression	regression	NOUN
ajst-26753	21	23	models	model	NOUN
ajst-26753	21	24	[	[	X
ajst-26753	21	25	4	4	NUM
ajst-26753	21	26	-	-	SYM
ajst-26753	21	27	7	7	NUM
ajst-26753	21	28	]	]	PUNCT
ajst-26753	21	29	.	.	PUNCT
ajst-26753	22	1	this	this	DET
ajst-26753	22	2	document	document	NOUN
ajst-26753	22	3	aims	aim	VERB
ajst-26753	22	4	to	to	PART
ajst-26753	22	5	explore	explore	VERB
ajst-26753	22	6	the	the	DET
ajst-26753	22	7	application	application	NOUN
ajst-26753	22	8	of	of	ADP
ajst-26753	22	9	machine	machine	NOUN
ajst-26753	22	10	learning	learn	VERB
ajst-26753	22	11	algorithms	algorithm	NOUN
ajst-26753	22	12	in	in	ADP
ajst-26753	22	13	tennis	tennis	NOUN
ajst-26753	22	14	games	game	NOUN
ajst-26753	22	15	to	to	PART
ajst-26753	22	16	evaluate	evaluate	VERB
ajst-26753	22	17	the	the	DET
ajst-26753	22	18	impact	impact	NOUN
ajst-26753	22	19	of	of	ADP
ajst-26753	22	20	various	various	ADJ
ajst-26753	22	21	metrics	metric	NOUN
ajst-26753	22	22	on	on	ADP
ajst-26753	22	23	the	the	DET
ajst-26753	22	24	scores	score	NOUN
ajst-26753	22	25	and	and	CCONJ
ajst-26753	22	26	to	to	PART
ajst-26753	22	27	offer	offer	VERB
ajst-26753	22	28	valuable	valuable	ADJ
ajst-26753	22	29	resources	resource	NOUN
ajst-26753	22	30	and	and	CCONJ
ajst-26753	22	31	guidance	guidance	NOUN
ajst-26753	22	32	for	for	ADP
ajst-26753	22	33	training	training	NOUN
ajst-26753	22	34	choices	choice	NOUN
ajst-26753	22	35	.	.	PUNCT
ajst-26753	23	1	3	3	X
ajst-26753	23	2	.	.	NOUN
ajst-26753	23	3	results	result	VERB
ajst-26753	23	4	3.1	3.1	NUM
ajst-26753	23	5	.	.	PUNCT
ajst-26753	24	1	data	datum	NOUN
ajst-26753	24	2	processing	processing	NOUN
ajst-26753	24	3	after	after	SCONJ
ajst-26753	24	4	the	the	DET
ajst-26753	24	5	data	datum	NOUN
ajst-26753	24	6	are	be	AUX
ajst-26753	24	7	obtained	obtain	VERB
ajst-26753	24	8	,	,	PUNCT
ajst-26753	24	9	the	the	DET
ajst-26753	24	10	outliers	outlier	NOUN
ajst-26753	24	11	of	of	ADP
ajst-26753	24	12	the	the	DET
ajst-26753	24	13	quantitative	quantitative	ADJ
ajst-26753	24	14	data	datum	NOUN
ajst-26753	24	15	are	be	AUX
ajst-26753	24	16	mapped	map	VERB
ajst-26753	24	17	.	.	PUNCT
ajst-26753	25	1	replace	replace	VERB
ajst-26753	25	2	the	the	DET
ajst-26753	25	3	outlier	outlier	NOUN
ajst-26753	25	4	with	with	ADP
ajst-26753	25	5	the	the	DET
ajst-26753	25	6	average	average	NOUN
ajst-26753	25	7	of	of	ADP
ajst-26753	25	8	the	the	DET
ajst-26753	25	9	upper	upper	ADJ
ajst-26753	25	10	and	and	CCONJ
ajst-26753	25	11	lower	low	ADJ
ajst-26753	25	12	data	datum	NOUN
ajst-26753	25	13	layers	layer	NOUN
ajst-26753	25	14	.	.	PUNCT
ajst-26753	26	1	data	datum	NOUN
ajst-26753	26	2	conversion	conversion	NOUN
ajst-26753	26	3	and	and	CCONJ
ajst-26753	26	4	standardization	standardization	NOUN
ajst-26753	26	5	to	to	PART
ajst-26753	26	6	better	well	ADV
ajst-26753	26	7	meet	meet	VERB
ajst-26753	26	8	the	the	DET
ajst-26753	26	9	requirements	requirement	NOUN
ajst-26753	26	10	of	of	ADP
ajst-26753	26	11	machine	machine	NOUN
ajst-26753	26	12	learning	learning	NOUN
ajst-26753	26	13	algorithm	algorithm	NOUN
ajst-26753	26	14	.	.	PUNCT
ajst-26753	27	1	the	the	DET
ajst-26753	27	2	standardization	standardization	NOUN
ajst-26753	27	3	formula	formula	NOUN
ajst-26753	27	4	is	be	AUX
ajst-26753	27	5	as	as	SCONJ
ajst-26753	27	6	follows	follow	VERB
ajst-26753	27	7	:	:	PUNCT
ajst-26753	27	8	𝑍	𝑍	NOUN
ajst-26753	27	9	,	,	PUNCT
ajst-26753	27	10	,	,	PUNCT
ajst-26753	27	11			X
ajst-26753	27	12	(	(	PUNCT
ajst-26753	27	13	1	1	NUM
ajst-26753	27	14	)	)	PUNCT
ajst-26753	27	15	where	where	SCONJ
ajst-26753	27	16	𝑍	𝑍	NOUN
ajst-26753	27	17	,	,	PUNCT
ajst-26753	27	18	are	be	AUX
ajst-26753	27	19	the	the	DET
ajst-26753	27	20	normalized	normalize	VERB
ajst-26753	27	21	values	value	NOUN
ajst-26753	27	22	,	,	PUNCT
ajst-26753	27	23	x	x	X
ajst-26753	27	24	is	be	AUX
ajst-26753	27	25	the	the	DET
ajst-26753	27	26	original	original	ADJ
ajst-26753	27	27	value	value	NOUN
ajst-26753	27	28	,	,	PUNCT
ajst-26753	27	29	u	u	NOUN
ajst-26753	27	30	is	be	AUX
ajst-26753	27	31	the	the	DET
ajst-26753	27	32	mean	mean	ADJ
ajst-26753	27	33	value	value	NOUN
ajst-26753	27	34	of	of	ADP
ajst-26753	27	35	the	the	DET
ajst-26753	27	36	j	j	PROPN
ajst-26753	27	37	-	-	PUNCT
ajst-26753	27	38	th	th	VERB
ajst-26753	27	39	feature	feature	NOUN
ajst-26753	27	40	,	,	PUNCT
ajst-26753	27	41	and	and	PROPN
ajst-26753	27	42	is	be	AUX
ajst-26753	27	43	its	its	PRON
ajst-26753	27	44	standard	standard	ADJ
ajst-26753	27	45	deviation	deviation	NOUN
ajst-26753	27	46	.	.	PUNCT
ajst-26753	28	1	at	at	ADP
ajst-26753	28	2	the	the	DET
ajst-26753	28	3	same	same	ADJ
ajst-26753	28	4	time	time	NOUN
ajst-26753	28	5	,	,	PUNCT
ajst-26753	28	6	standardization	standardization	NOUN
ajst-26753	28	7	is	be	AUX
ajst-26753	28	8	based	base	VERB
ajst-26753	28	9	on	on	ADP
ajst-26753	28	10	the	the	DET
ajst-26753	28	11	mean	mean	ADJ
ajst-26753	28	12	and	and	CCONJ
ajst-26753	28	13	standard	standard	ADJ
ajst-26753	28	14	deviation	deviation	NOUN
ajst-26753	28	15	of	of	ADP
ajst-26753	28	16	each	each	DET
ajst-26753	28	17	feature	feature	NOUN
ajst-26753	28	18	,	,	PUNCT
ajst-26753	28	19	so	so	SCONJ
ajst-26753	28	20	it	it	PRON
ajst-26753	28	21	is	be	AUX
ajst-26753	28	22	not	not	PART
ajst-26753	28	23	affected	affect	VERB
ajst-26753	28	24	by	by	ADP
ajst-26753	28	25	outliers	outlier	NOUN
ajst-26753	28	26	.	.	PUNCT
ajst-26753	29	1	this	this	PRON
ajst-26753	29	2	makes	make	VERB
ajst-26753	29	3	us	we	PRON
ajst-26753	29	4	more	more	ADV
ajst-26753	29	5	robust	robust	ADJ
ajst-26753	29	6	when	when	SCONJ
ajst-26753	29	7	dealing	deal	VERB
ajst-26753	29	8	with	with	ADP
ajst-26753	29	9	outliers	outlier	NOUN
ajst-26753	29	10	in	in	ADP
ajst-26753	29	11	data	datum	NOUN
ajst-26753	29	12	,	,	PUNCT
ajst-26753	29	13	and	and	CCONJ
ajst-26753	29	14	will	will	AUX
ajst-26753	29	15	not	not	PART
ajst-26753	29	16	skew	skew	VERB
ajst-26753	29	17	the	the	DET
ajst-26753	29	18	scaling	scaling	NOUN
ajst-26753	29	19	results	result	NOUN
ajst-26753	29	20	due	due	ADJ
ajst-26753	29	21	to	to	ADP
ajst-26753	29	22	extreme	extreme	ADJ
ajst-26753	29	23	values	value	NOUN
ajst-26753	29	24	.	.	PUNCT
ajst-26753	30	1	for	for	ADP
ajst-26753	30	2	the	the	DET
ajst-26753	30	3	vacant	vacant	ADJ
ajst-26753	30	4	data	datum	NOUN
ajst-26753	30	5	,	,	PUNCT
ajst-26753	30	6	we	we	PRON
ajst-26753	30	7	use	use	VERB
ajst-26753	30	8	difference	difference	NOUN
ajst-26753	30	9	filling	filling	NOUN
ajst-26753	30	10	,	,	PUNCT
ajst-26753	30	11	and	and	CCONJ
ajst-26753	30	12	get	get	VERB
ajst-26753	30	13	the	the	DET
ajst-26753	30	14	vacant	vacant	ADJ
ajst-26753	30	15	data	datum	NOUN
ajst-26753	30	16	by	by	ADP
ajst-26753	30	17	averaging	average	VERB
ajst-26753	30	18	the	the	DET
ajst-26753	30	19	upper	upper	ADJ
ajst-26753	30	20	data	datum	NOUN
ajst-26753	30	21	and	and	CCONJ
ajst-26753	30	22	the	the	DET
ajst-26753	30	23	lower	low	ADJ
ajst-26753	30	24	data	datum	NOUN
ajst-26753	30	25	,	,	PUNCT
ajst-26753	30	26	so	so	SCONJ
ajst-26753	30	27	that	that	SCONJ
ajst-26753	30	28	we	we	PRON
ajst-26753	30	29	can	can	AUX
ajst-26753	30	30	better	well	ADV
ajst-26753	30	31	preserve	preserve	VERB
ajst-26753	30	32	the	the	DET
ajst-26753	30	33	distribution	distribution	NOUN
ajst-26753	30	34	and	and	CCONJ
ajst-26753	30	35	trend	trend	NOUN
ajst-26753	30	36	of	of	ADP
ajst-26753	30	37	the	the	DET
ajst-26753	30	38	data	datum	NOUN
ajst-26753	30	39	.	.	PUNCT
ajst-26753	31	1	at	at	ADP
ajst-26753	31	2	the	the	DET
ajst-26753	31	3	same	same	ADJ
ajst-26753	31	4	time	time	NOUN
ajst-26753	31	5	,	,	PUNCT
ajst-26753	31	6	when	when	SCONJ
ajst-26753	31	7	we	we	PRON
ajst-26753	31	8	fill	fill	VERB
ajst-26753	31	9	in	in	ADP
ajst-26753	31	10	the	the	DET
ajst-26753	31	11	missing	miss	VERB
ajst-26753	31	12	values	value	NOUN
ajst-26753	31	13	,	,	PUNCT
ajst-26753	31	14	we	we	PRON
ajst-26753	31	15	will	will	AUX
ajst-26753	31	16	keep	keep	VERB
ajst-26753	31	17	the	the	DET
ajst-26753	31	18	changing	change	VERB
ajst-26753	31	19	trend	trend	NOUN
ajst-26753	31	20	of	of	ADP
ajst-26753	31	21	the	the	DET
ajst-26753	31	22	original	original	ADJ
ajst-26753	31	23	data	datum	NOUN
ajst-26753	31	24	as	as	ADV
ajst-26753	31	25	much	much	ADV
ajst-26753	31	26	as	as	ADP
ajst-26753	31	27	79	79	NUM
ajst-26753	31	28	possible	possible	ADJ
ajst-26753	31	29	,	,	PUNCT
ajst-26753	31	30	so	so	CCONJ
ajst-26753	31	31	it	it	PRON
ajst-26753	31	32	has	have	VERB
ajst-26753	31	33	good	good	ADJ
ajst-26753	31	34	fidelity	fidelity	NOUN
ajst-26753	31	35	to	to	ADP
ajst-26753	31	36	the	the	DET
ajst-26753	31	37	time	time	NOUN
ajst-26753	31	38	series	series	PROPN
ajst-26753	31	39	data	data	PROPN
ajst-26753	31	40	.	.	PUNCT
ajst-26753	32	1	of	of	ADP
ajst-26753	32	2	course	course	ADV
ajst-26753	32	3	,	,	PUNCT
ajst-26753	32	4	we	we	PRON
ajst-26753	32	5	do	do	AUX
ajst-26753	32	6	n't	not	PART
ajst-26753	32	7	need	need	VERB
ajst-26753	32	8	to	to	PART
ajst-26753	32	9	introduce	introduce	VERB
ajst-26753	32	10	additional	additional	ADJ
ajst-26753	32	11	parameters	parameter	NOUN
ajst-26753	32	12	,	,	PUNCT
ajst-26753	32	13	but	but	CCONJ
ajst-26753	32	14	fill	fill	VERB
ajst-26753	32	15	in	in	ADP
ajst-26753	32	16	the	the	DET
ajst-26753	32	17	missing	miss	VERB
ajst-26753	32	18	values	value	NOUN
ajst-26753	32	19	through	through	ADP
ajst-26753	32	20	the	the	DET
ajst-26753	32	21	trend	trend	NOUN
ajst-26753	32	22	of	of	ADP
ajst-26753	32	23	the	the	DET
ajst-26753	32	24	original	original	ADJ
ajst-26753	32	25	data	datum	NOUN
ajst-26753	32	26	,	,	PUNCT
ajst-26753	32	27	which	which	PRON
ajst-26753	32	28	also	also	ADV
ajst-26753	32	29	reduces	reduce	VERB
ajst-26753	32	30	the	the	DET
ajst-26753	32	31	possibility	possibility	NOUN
ajst-26753	32	32	of	of	ADP
ajst-26753	32	33	introducing	introduce	VERB
ajst-26753	32	34	noise	noise	NOUN
ajst-26753	32	35	or	or	CCONJ
ajst-26753	32	36	uncertainty	uncertainty	NOUN
ajst-26753	32	37	.	.	PUNCT
ajst-26753	33	1	3.2	3.2	NUM
ajst-26753	33	2	.	.	PUNCT
ajst-26753	34	1	modeling	model	VERB
ajst-26753	34	2	a	a	DET
ajst-26753	34	3	model	model	NOUN
ajst-26753	34	4	was	be	AUX
ajst-26753	34	5	created	create	VERB
ajst-26753	34	6	to	to	PART
ajst-26753	34	7	capture	capture	VERB
ajst-26753	34	8	the	the	DET
ajst-26753	34	9	flow	flow	NOUN
ajst-26753	34	10	of	of	ADP
ajst-26753	34	11	play	play	NOUN
ajst-26753	34	12	for	for	ADP
ajst-26753	34	13	every	every	DET
ajst-26753	34	14	score	score	NOUN
ajst-26753	34	15	in	in	ADP
ajst-26753	34	16	the	the	DET
ajst-26753	34	17	game	game	NOUN
ajst-26753	34	18	.	.	PUNCT
ajst-26753	35	1	the	the	DET
ajst-26753	35	2	core	core	ADJ
ajst-26753	35	3	goal	goal	NOUN
ajst-26753	35	4	of	of	ADP
ajst-26753	35	5	the	the	DET
ajst-26753	35	6	model	model	NOUN
ajst-26753	35	7	is	be	AUX
ajst-26753	35	8	to	to	PART
ajst-26753	35	9	identify	identify	VERB
ajst-26753	35	10	which	which	DET
ajst-26753	35	11	player	player	NOUN
ajst-26753	35	12	performs	perform	VERB
ajst-26753	35	13	better	well	ADV
ajst-26753	35	14	in	in	ADP
ajst-26753	35	15	the	the	DET
ajst-26753	35	16	game	game	NOUN
ajst-26753	35	17	and	and	CCONJ
ajst-26753	35	18	evaluate	evaluate	VERB
ajst-26753	35	19	their	their	PRON
ajst-26753	35	20	performance	performance	NOUN
ajst-26753	35	21	level	level	NOUN
ajst-26753	35	22	.	.	PUNCT
ajst-26753	36	1	we	we	PRON
ajst-26753	36	2	need	need	VERB
ajst-26753	36	3	to	to	PART
ajst-26753	36	4	first	first	ADV
ajst-26753	36	5	establish	establish	VERB
ajst-26753	36	6	a	a	DET
ajst-26753	36	7	system	system	NOUN
ajst-26753	36	8	that	that	PRON
ajst-26753	36	9	can	can	AUX
ajst-26753	36	10	quantify	quantify	VERB
ajst-26753	36	11	the	the	DET
ajst-26753	36	12	player	player	NOUN
ajst-26753	36	13	's	's	PART
ajst-26753	36	14	performance	performance	NOUN
ajst-26753	36	15	and	and	CCONJ
ajst-26753	36	16	game	game	NOUN
ajst-26753	36	17	dynamics	dynamic	NOUN
ajst-26753	36	18	.	.	PUNCT
ajst-26753	37	1	this	this	DET
ajst-26753	37	2	system	system	NOUN
ajst-26753	37	3	should	should	AUX
ajst-26753	37	4	comprehensively	comprehensively	ADV
ajst-26753	37	5	consider	consider	VERB
ajst-26753	37	6	the	the	DET
ajst-26753	37	7	conventional	conventional	ADJ
ajst-26753	37	8	score	score	NOUN
ajst-26753	37	9	,	,	PUNCT
ajst-26753	37	10	serve	serve	VERB
ajst-26753	37	11	advantage	advantage	NOUN
ajst-26753	37	12	,	,	PUNCT
ajst-26753	37	13	continuous	continuous	ADJ
ajst-26753	37	14	scoring	scoring	NOUN
ajst-26753	37	15	and	and	CCONJ
ajst-26753	37	16	other	other	ADJ
ajst-26753	37	17	factors	factor	NOUN
ajst-26753	37	18	.	.	PUNCT
ajst-26753	38	1	in	in	ADP
ajst-26753	38	2	addition	addition	NOUN
ajst-26753	38	3	to	to	ADP
ajst-26753	38	4	being	be	AUX
ajst-26753	38	5	the	the	DET
ajst-26753	38	6	server	server	NOUN
ajst-26753	38	7	,	,	PUNCT
ajst-26753	38	8	the	the	DET
ajst-26753	38	9	key	key	ADJ
ajst-26753	38	10	reasons	reason	NOUN
ajst-26753	38	11	related	relate	VERB
ajst-26753	38	12	to	to	ADP
ajst-26753	38	13	the	the	DET
ajst-26753	38	14	player	player	NOUN
ajst-26753	38	15	's	's	PART
ajst-26753	38	16	victory	victory	NOUN
ajst-26753	38	17	are	be	AUX
ajst-26753	38	18	also	also	ADV
ajst-26753	38	19	related	relate	VERB
ajst-26753	38	20	to	to	ADP
ajst-26753	38	21	the	the	DET
ajst-26753	38	22	player	player	NOUN
ajst-26753	38	23	's	's	PART
ajst-26753	38	24	physical	physical	ADJ
ajst-26753	38	25	condition	condition	NOUN
ajst-26753	38	26	,	,	PUNCT
ajst-26753	38	27	immediate	immediate	ADJ
ajst-26753	38	28	psychological	psychological	ADJ
ajst-26753	38	29	state	state	NOUN
ajst-26753	38	30	and	and	CCONJ
ajst-26753	38	31	personal	personal	ADJ
ajst-26753	38	32	level	level	NOUN
ajst-26753	38	33	.	.	PUNCT
ajst-26753	39	1	in	in	ADP
ajst-26753	39	2	order	order	NOUN
ajst-26753	39	3	to	to	PART
ajst-26753	39	4	reflect	reflect	VERB
ajst-26753	39	5	the	the	DET
ajst-26753	39	6	real	real	ADJ
ajst-26753	39	7	-	-	PUNCT
ajst-26753	39	8	time	time	NOUN
ajst-26753	39	9	scores	score	NOUN
ajst-26753	39	10	of	of	ADP
ajst-26753	39	11	players	player	NOUN
ajst-26753	39	12	,	,	PUNCT
ajst-26753	39	13	we	we	PRON
ajst-26753	39	14	introduced	introduce	VERB
ajst-26753	39	15	sixteen	sixteen	NUM
ajst-26753	39	16	indicators	indicator	NOUN
ajst-26753	39	17	,	,	PUNCT
ajst-26753	39	18	which	which	PRON
ajst-26753	39	19	are	be	AUX
ajst-26753	39	20	as	as	ADP
ajst-26753	39	21	table.1	table.1	NOUN
ajst-26753	39	22	table	table	NOUN
ajst-26753	39	23	1	1	NUM
ajst-26753	39	24	.	.	NOUN
ajst-26753	39	25	16	16	NUM
ajst-26753	39	26	indicators	indicator	NOUN
ajst-26753	39	27	and	and	CCONJ
ajst-26753	39	28	corresponding	correspond	VERB
ajst-26753	39	29	symbols	symbol	NOUN
ajst-26753	39	30	three	three	NUM
ajst-26753	39	31	-	-	PUNCT
ajst-26753	39	32	level	level	NOUN
ajst-26753	39	33	index	index	NOUN
ajst-26753	39	34	symbol	symbol	NOUN
ajst-26753	39	35	the	the	DET
ajst-26753	39	36	number	number	NOUN
ajst-26753	39	37	of	of	ADP
ajst-26753	39	38	games	game	NOUN
ajst-26753	39	39	won	win	VERB
ajst-26753	39	40	in	in	ADP
ajst-26753	39	41	the	the	DET
ajst-26753	39	42	current	current	ADJ
ajst-26753	39	43	set	set	NOUN
ajst-26753	39	44	x1	x1	PROPN
ajst-26753	39	45	the	the	DET
ajst-26753	39	46	score	score	NOUN
ajst-26753	39	47	of	of	ADP
ajst-26753	39	48	this	this	DET
ajst-26753	39	49	game	game	NOUN
ajst-26753	39	50	is	be	AUX
ajst-26753	39	51	ahead	ahead	ADV
ajst-26753	39	52	of	of	ADP
ajst-26753	39	53	schedule	schedule	NOUN
ajst-26753	39	54	x2	x2	INTJ
ajst-26753	39	55	whether	whether	SCONJ
ajst-26753	39	56	it	it	PRON
ajst-26753	39	57	is	be	AUX
ajst-26753	39	58	the	the	DET
ajst-26753	39	59	server	server	NOUN
ajst-26753	39	60	x3	x3	ADJ
ajst-26753	39	61	whether	whether	SCONJ
ajst-26753	39	62	the	the	DET
ajst-26753	39	63	last	last	ADJ
ajst-26753	39	64	point	point	NOUN
ajst-26753	39	65	was	be	AUX
ajst-26753	39	66	scored	score	VERB
ajst-26753	39	67	x4	x4	ADV
ajst-26753	39	68	the	the	DET
ajst-26753	39	69	score	score	NOUN
ajst-26753	39	70	of	of	ADP
ajst-26753	39	71	this	this	DET
ajst-26753	39	72	match	match	NOUN
ajst-26753	39	73	is	be	AUX
ajst-26753	39	74	ahead	ahead	ADV
ajst-26753	39	75	of	of	ADP
ajst-26753	39	76	schedule	schedule	NOUN
ajst-26753	39	77	x5	x5	PROPN
ajst-26753	39	78	serve	serve	VERB
ajst-26753	39	79	or	or	CCONJ
ajst-26753	39	80	not	not	PART
ajst-26753	39	81	(	(	PUNCT
ajst-26753	39	82	no	no	DET
ajst-26753	39	83	touch	touch	NOUN
ajst-26753	39	84	)	)	PUNCT
ajst-26753	39	85	x6	x6	PROPN
ajst-26753	39	86	return	return	NOUN
ajst-26753	39	87	score	score	NOUN
ajst-26753	39	88	(	(	PUNCT
ajst-26753	39	89	no	no	DET
ajst-26753	39	90	touch	touch	NOUN
ajst-26753	39	91	)	)	PUNCT
ajst-26753	39	92	x7	x7	NOUN
ajst-26753	39	93	no	no	DET
ajst-26753	39	94	touch	touch	NOUN
ajst-26753	39	95	score	score	NOUN
ajst-26753	39	96	forehand	forehand	NOUN
ajst-26753	39	97	and	and	CCONJ
ajst-26753	39	98	backhand	backhand	PROPN
ajst-26753	39	99	x8	x8	PROPN
ajst-26753	39	100	whether	whether	SCONJ
ajst-26753	39	101	there	there	PRON
ajst-26753	39	102	is	be	VERB
ajst-26753	39	103	an	an	DET
ajst-26753	39	104	error	error	NOUN
ajst-26753	39	105	in	in	ADP
ajst-26753	39	106	the	the	DET
ajst-26753	39	107	game	game	NOUN
ajst-26753	39	108	x9	x9	NOUN
ajst-26753	39	109	whether	whether	SCONJ
ajst-26753	39	110	there	there	PRON
ajst-26753	39	111	was	be	VERB
ajst-26753	39	112	an	an	DET
ajst-26753	39	113	unforced	unforced	ADJ
ajst-26753	39	114	turnover	turnover	NOUN
ajst-26753	39	115	in	in	ADP
ajst-26753	39	116	the	the	DET
ajst-26753	39	117	game	game	NOUN
ajst-26753	39	118	x10	x10	NOUN
ajst-26753	39	119	the	the	DET
ajst-26753	39	120	ratio	ratio	NOUN
ajst-26753	39	121	of	of	ADP
ajst-26753	39	122	the	the	DET
ajst-26753	39	123	number	number	NOUN
ajst-26753	39	124	of	of	ADP
ajst-26753	39	125	touches	touch	NOUN
ajst-26753	39	126	to	to	ADP
ajst-26753	39	127	the	the	DET
ajst-26753	39	128	score	score	NOUN
ajst-26753	39	129	x11	x11	NOUN
ajst-26753	39	130	the	the	DET
ajst-26753	39	131	ratio	ratio	NOUN
ajst-26753	39	132	of	of	ADP
ajst-26753	39	133	the	the	DET
ajst-26753	39	134	chance	chance	NOUN
ajst-26753	39	135	to	to	PART
ajst-26753	39	136	score	score	VERB
ajst-26753	39	137	when	when	SCONJ
ajst-26753	39	138	the	the	DET
ajst-26753	39	139	opponent	opponent	NOUN
ajst-26753	39	140	serves	serve	VERB
ajst-26753	39	141	to	to	ADP
ajst-26753	39	142	the	the	DET
ajst-26753	39	143	point	point	NOUN
ajst-26753	39	144	actually	actually	ADV
ajst-26753	39	145	scored	score	VERB
ajst-26753	39	146	x12	x12	NUM
ajst-26753	39	147	total	total	ADJ
ajst-26753	39	148	mileage	mileage	NOUN
ajst-26753	39	149	in	in	ADP
ajst-26753	39	150	the	the	DET
ajst-26753	39	151	match	match	NOUN
ajst-26753	39	152	x13	x13	PROPN
ajst-26753	39	153	total	total	PROPN
ajst-26753	39	154	chart	chart	NOUN
ajst-26753	39	155	miles	mile	NOUN
ajst-26753	39	156	in	in	ADP
ajst-26753	39	157	the	the	DET
ajst-26753	39	158	last	last	ADJ
ajst-26753	39	159	three	three	NUM
ajst-26753	39	160	points	point	NOUN
ajst-26753	39	161	x14	x14	PROPN
ajst-26753	39	162	last	last	ADJ
ajst-26753	39	163	point	point	NOUN
ajst-26753	39	164	mileage	mileage	NOUN
ajst-26753	39	165	x15	x15	PROPN
ajst-26753	39	166	serve	serve	VERB
ajst-26753	39	167	real	real	ADJ
ajst-26753	39	168	time	time	NOUN
ajst-26753	39	169	pace	pace	NOUN
ajst-26753	39	170	x16	x16	NOUN
ajst-26753	39	171	3.3	3.3	NUM
ajst-26753	39	172	.	.	PUNCT
ajst-26753	40	1	comparison	comparison	NOUN
ajst-26753	40	2	of	of	ADP
ajst-26753	40	3	model	model	NOUN
ajst-26753	40	4	results	result	NOUN
ajst-26753	40	5	firstly	firstly	ADV
ajst-26753	40	6	,	,	PUNCT
ajst-26753	40	7	we	we	PRON
ajst-26753	40	8	quoted	quote	VERB
ajst-26753	40	9	five	five	NUM
ajst-26753	40	10	classic	classic	ADJ
ajst-26753	40	11	regression	regression	NOUN
ajst-26753	40	12	models	model	NOUN
ajst-26753	40	13	of	of	ADP
ajst-26753	40	14	machine	machine	NOUN
ajst-26753	40	15	learning	learn	VERB
ajst-26753	40	16	to	to	PART
ajst-26753	40	17	train	train	VERB
ajst-26753	40	18	them	they	PRON
ajst-26753	40	19	,	,	PUNCT
ajst-26753	40	20	and	and	CCONJ
ajst-26753	40	21	then	then	ADV
ajst-26753	40	22	compared	compare	VERB
ajst-26753	40	23	the	the	DET
ajst-26753	40	24	performance	performance	NOUN
ajst-26753	40	25	parameters	parameter	NOUN
ajst-26753	40	26	of	of	ADP
ajst-26753	40	27	lgbm	lgbm	ADJ
ajst-26753	40	28	classifier	classifier	NOUN
ajst-26753	40	29	,	,	PUNCT
ajst-26753	40	30	xgb	xgb	PROPN
ajst-26753	40	31	classifier	classifier	NOUN
ajst-26753	40	32	,	,	PUNCT
ajst-26753	40	33	svc	svc	PROPN
ajst-26753	40	34	,	,	PUNCT
ajst-26753	40	35	mlp	mlp	NOUN
ajst-26753	40	36	classifier	classifier	NOUN
ajst-26753	40	37	and	and	CCONJ
ajst-26753	40	38	logistic	logistic	ADJ
ajst-26753	40	39	regression	regression	NOUN
ajst-26753	40	40	models	model	NOUN
ajst-26753	40	41	to	to	PART
ajst-26753	40	42	choose	choose	VERB
ajst-26753	40	43	the	the	DET
ajst-26753	40	44	most	most	ADV
ajst-26753	40	45	suitable	suitable	ADJ
ajst-26753	40	46	model	model	NOUN
ajst-26753	40	47	.	.	PUNCT
ajst-26753	41	1	figure	figure	NOUN
ajst-26753	41	2	1	1	NUM
ajst-26753	41	3	.	.	PUNCT
ajst-26753	42	1	roc	roc	PROPN
ajst-26753	42	2	curves	curve	NOUN
ajst-26753	42	3	for	for	ADP
ajst-26753	42	4	player	player	NOUN
ajst-26753	42	5	1	1	NUM
ajst-26753	42	6	and	and	CCONJ
ajst-26753	42	7	player	player	NOUN
ajst-26753	42	8	2	2	NUM
ajst-26753	42	9	in	in	ADP
ajst-26753	42	10	figure	figure	NOUN
ajst-26753	42	11	1	1	NUM
ajst-26753	42	12	,	,	PUNCT
ajst-26753	42	13	we	we	PRON
ajst-26753	42	14	list	list	VERB
ajst-26753	42	15	the	the	DET
ajst-26753	42	16	roc	roc	PROPN
ajst-26753	42	17	curves	curve	NOUN
ajst-26753	42	18	of	of	ADP
ajst-26753	42	19	these	these	DET
ajst-26753	42	20	five	five	NUM
ajst-26753	42	21	models	model	NOUN
ajst-26753	42	22	,	,	PUNCT
ajst-26753	42	23	which	which	PRON
ajst-26753	42	24	show	show	VERB
ajst-26753	42	25	the	the	DET
ajst-26753	42	26	trade	trade	NOUN
ajst-26753	42	27	-	-	PUNCT
ajst-26753	42	28	off	off	ADP
ajst-26753	42	29	relationship	relationship	NOUN
ajst-26753	42	30	between	between	ADP
ajst-26753	42	31	true	true	ADJ
ajst-26753	42	32	positive	positive	ADJ
ajst-26753	42	33	rate	rate	NOUN
ajst-26753	42	34	and	and	CCONJ
ajst-26753	42	35	false	false	ADJ
ajst-26753	42	36	positive	positive	ADJ
ajst-26753	42	37	rate	rate	NOUN
ajst-26753	42	38	under	under	ADP
ajst-26753	42	39	different	different	ADJ
ajst-26753	42	40	thresholds	threshold	NOUN
ajst-26753	42	41	.	.	PUNCT
ajst-26753	43	1	auc	auc	VERB
ajst-26753	43	2	in	in	ADP
ajst-26753	43	3	the	the	DET
ajst-26753	43	4	figure	figure	NOUN
ajst-26753	43	5	represents	represent	VERB
ajst-26753	43	6	the	the	DET
ajst-26753	43	7	area	area	NOUN
ajst-26753	43	8	under	under	ADP
ajst-26753	43	9	roc	roc	PROPN
ajst-26753	43	10	curve	curve	NOUN
ajst-26753	43	11	,	,	PUNCT
ajst-26753	43	12	which	which	PRON
ajst-26753	43	13	is	be	AUX
ajst-26753	43	14	an	an	DET
ajst-26753	43	15	important	important	ADJ
ajst-26753	43	16	index	index	NOUN
ajst-26753	43	17	to	to	PART
ajst-26753	43	18	evaluate	evaluate	VERB
ajst-26753	43	19	the	the	DET
ajst-26753	43	20	performance	performance	NOUN
ajst-26753	43	21	of	of	ADP
ajst-26753	43	22	classifier	classifier	NOUN
ajst-26753	43	23	.	.	PUNCT
ajst-26753	44	1	under	under	ADP
ajst-26753	44	2	our	our	PRON
ajst-26753	44	3	assumption	assumption	NOUN
ajst-26753	44	4	,	,	PUNCT
ajst-26753	44	5	the	the	PRON
ajst-26753	44	6	closer	close	ADV
ajst-26753	44	7	the	the	DET
ajst-26753	44	8	auc	auc	NOUN
ajst-26753	44	9	value	value	NOUN
ajst-26753	44	10	is	be	AUX
ajst-26753	44	11	to	to	ADP
ajst-26753	44	12	1	1	NUM
ajst-26753	44	13	,	,	PUNCT
ajst-26753	44	14	the	the	PRON
ajst-26753	44	15	better	well	ADJ
ajst-26753	44	16	the	the	DET
ajst-26753	44	17	model	model	NOUN
ajst-26753	44	18	performance	performance	NOUN
ajst-26753	44	19	.	.	PUNCT
ajst-26753	45	1	through	through	ADP
ajst-26753	45	2	the	the	DET
ajst-26753	45	3	value	value	NOUN
ajst-26753	45	4	of	of	ADP
ajst-26753	45	5	auc	auc	NOUN
ajst-26753	45	6	in	in	ADP
ajst-26753	45	7	figure	figure	NOUN
ajst-26753	45	8	1	1	NUM
ajst-26753	45	9	,	,	PUNCT
ajst-26753	45	10	we	we	PRON
ajst-26753	45	11	will	will	AUX
ajst-26753	45	12	evaluate	evaluate	VERB
ajst-26753	45	13	and	and	CCONJ
ajst-26753	45	14	compare	compare	VERB
ajst-26753	45	15	lgbm	lgbm	ADJ
ajst-26753	45	16	and	and	CCONJ
ajst-26753	45	17	xgb	xgb	NUM
ajst-26753	45	18	.	.	PUNCT
ajst-26753	46	1	80	80	NUM
ajst-26753	46	2	figure	figure	NOUN
ajst-26753	46	3	2	2	NUM
ajst-26753	46	4	.	.	PUNCT
ajst-26753	46	5	comparison	comparison	NOUN
ajst-26753	46	6	of	of	ADP
ajst-26753	46	7	x	x	PUNCT
ajst-26753	46	8	and	and	CCONJ
ajst-26753	46	9	y	y	PROPN
ajst-26753	46	10	indicators	indicator	NOUN
ajst-26753	46	11	in	in	ADP
ajst-26753	46	12	the	the	DET
ajst-26753	46	13	line	line	NOUN
ajst-26753	46	14	chart	chart	NOUN
ajst-26753	46	15	of	of	ADP
ajst-26753	46	16	figure	figure	NOUN
ajst-26753	46	17	2	2	NUM
ajst-26753	46	18	,	,	PUNCT
ajst-26753	46	19	we	we	PRON
ajst-26753	46	20	compare	compare	VERB
ajst-26753	46	21	the	the	DET
ajst-26753	46	22	accuracy	accuracy	NOUN
ajst-26753	46	23	,	,	PUNCT
ajst-26753	46	24	recall	recall	NOUN
ajst-26753	46	25	,	,	PUNCT
ajst-26753	46	26	accuracy	accuracy	NOUN
ajst-26753	46	27	,	,	PUNCT
ajst-26753	46	28	f1	f1	NOUN
ajst-26753	46	29	score	score	NOUN
ajst-26753	46	30	and	and	CCONJ
ajst-26753	46	31	auc	auc	ADJ
ajst-26753	46	32	coefficient	coefficient	NOUN
ajst-26753	46	33	of	of	ADP
ajst-26753	46	34	player	player	NOUN
ajst-26753	46	35	1	1	NUM
ajst-26753	46	36	and	and	CCONJ
ajst-26753	46	37	player	player	NOUN
ajst-26753	46	38	2	2	NUM
ajst-26753	46	39	,	,	PUNCT
ajst-26753	46	40	and	and	CCONJ
ajst-26753	46	41	through	through	ADP
ajst-26753	46	42	analyzing	analyze	VERB
ajst-26753	46	43	the	the	DET
ajst-26753	46	44	relevant	relevant	ADJ
ajst-26753	46	45	indicators	indicator	NOUN
ajst-26753	46	46	of	of	ADP
ajst-26753	46	47	the	the	DET
ajst-26753	46	48	above	above	ADJ
ajst-26753	46	49	model	model	NOUN
ajst-26753	46	50	,	,	PUNCT
ajst-26753	46	51	we	we	PRON
ajst-26753	46	52	finally	finally	ADV
ajst-26753	46	53	adopt	adopt	VERB
ajst-26753	46	54	the	the	DET
ajst-26753	46	55	lgbm	lgbm	NOUN
ajst-26753	46	56	with	with	ADP
ajst-26753	46	57	the	the	DET
ajst-26753	46	58	best	good	ADJ
ajst-26753	46	59	effect	effect	NOUN
ajst-26753	46	60	.	.	PUNCT
ajst-26753	47	1	lightgbm	lightgbm	PROPN
ajst-26753	47	2	is	be	AUX
ajst-26753	47	3	a	a	DET
ajst-26753	47	4	fast	fast	ADJ
ajst-26753	47	5	and	and	CCONJ
ajst-26753	47	6	distributed	distribute	VERB
ajst-26753	47	7	gradient	gradient	ADJ
ajst-26753	47	8	lifting	lifting	NOUN
ajst-26753	47	9	framework	framework	NOUN
ajst-26753	47	10	based	base	VERB
ajst-26753	47	11	on	on	ADP
ajst-26753	47	12	gradient	gradient	ADJ
ajst-26753	47	13	lifting	lifting	NOUN
ajst-26753	47	14	framework	framework	NOUN
ajst-26753	47	15	.	.	PUNCT
ajst-26753	48	1	suitable	suitable	ADJ
ajst-26753	48	2	for	for	ADP
ajst-26753	48	3	large	large	ADJ
ajst-26753	48	4	-	-	PUNCT
ajst-26753	48	5	scale	scale	NOUN
ajst-26753	48	6	data	data	NOUN
ajst-26753	48	7	sets	set	NOUN
ajst-26753	48	8	,	,	PUNCT
ajst-26753	48	9	lgbm	lgbm	ADJ
ajst-26753	48	10	cassifier	cassifier	NOUN
ajst-26753	48	11	is	be	AUX
ajst-26753	48	12	a	a	DET
ajst-26753	48	13	model	model	NOUN
ajst-26753	48	14	for	for	ADP
ajst-26753	48	15	classification	classification	NOUN
ajst-26753	48	16	tasks	task	NOUN
ajst-26753	48	17	in	in	ADP
ajst-26753	48	18	lightgbm	lightgbm	ADJ
ajst-26753	48	19	library	library	NOUN
ajst-26753	48	20	.	.	PUNCT
ajst-26753	49	1	(	(	PUNCT
ajst-26753	49	2	lgbm	lgbm	PROPN
ajst-26753	49	3	and	and	CCONJ
ajst-26753	49	4	xgb	xgb	NUM
ajst-26753	49	5	)	)	PUNCT
ajst-26753	49	6	for	for	ADP
ajst-26753	49	7	data	data	NOUN
ajst-26753	49	8	sets	set	NOUN
ajst-26753	49	9	with	with	ADP
ajst-26753	49	10	thousands	thousand	NOUN
ajst-26753	49	11	of	of	ADP
ajst-26753	49	12	features	feature	NOUN
ajst-26753	49	13	,	,	PUNCT
ajst-26753	49	14	it	it	PRON
ajst-26753	49	15	can	can	AUX
ajst-26753	49	16	better	well	ADV
ajst-26753	49	17	handle	handle	VERB
ajst-26753	49	18	and	and	CCONJ
ajst-26753	49	19	utilize	utilize	VERB
ajst-26753	49	20	the	the	DET
ajst-26753	49	21	data	data	NOUN
ajst-26753	49	22	information	information	NOUN
ajst-26753	49	23	,	,	PUNCT
ajst-26753	49	24	which	which	PRON
ajst-26753	49	25	allows	allow	VERB
ajst-26753	49	26	us	we	PRON
ajst-26753	49	27	to	to	PART
ajst-26753	49	28	use	use	VERB
ajst-26753	49	29	a	a	DET
ajst-26753	49	30	user	user	NOUN
ajst-26753	49	31	-	-	PUNCT
ajst-26753	49	32	defined	define	VERB
ajst-26753	49	33	loss	loss	NOUN
ajst-26753	49	34	function	function	NOUN
ajst-26753	49	35	to	to	PART
ajst-26753	49	36	adapt	adapt	VERB
ajst-26753	49	37	to	to	ADP
ajst-26753	49	38	different	different	ADJ
ajst-26753	49	39	problems	problem	NOUN
ajst-26753	49	40	and	and	CCONJ
ajst-26753	49	41	tasks	task	NOUN
ajst-26753	49	42	,	,	PUNCT
ajst-26753	49	43	and	and	CCONJ
ajst-26753	49	44	increases	increase	VERB
ajst-26753	49	45	the	the	DET
ajst-26753	49	46	flexibility	flexibility	NOUN
ajst-26753	49	47	of	of	ADP
ajst-26753	49	48	the	the	DET
ajst-26753	49	49	model	model	NOUN
ajst-26753	49	50	.	.	PUNCT
ajst-26753	50	1	it	it	PRON
ajst-26753	50	2	can	can	AUX
ajst-26753	50	3	also	also	ADV
ajst-26753	50	4	be	be	AUX
ajst-26753	50	5	trained	train	VERB
ajst-26753	50	6	in	in	ADP
ajst-26753	50	7	parallel	parallel	NOUN
ajst-26753	50	8	,	,	PUNCT
ajst-26753	50	9	and	and	CCONJ
ajst-26753	50	10	it	it	PRON
ajst-26753	50	11	is	be	AUX
ajst-26753	50	12	very	very	ADV
ajst-26753	50	13	advantageous	advantageous	ADJ
ajst-26753	50	14	for	for	ADP
ajst-26753	50	15	processing	process	VERB
ajst-26753	50	16	large	large	ADJ
ajst-26753	50	17	-	-	PUNCT
ajst-26753	50	18	scale	scale	NOUN
ajst-26753	50	19	data	data	NOUN
ajst-26753	50	20	sets	set	NOUN
ajst-26753	50	21	by	by	ADP
ajst-26753	50	22	using	use	VERB
ajst-26753	50	23	multithreading	multithreade	VERB
ajst-26753	50	24	to	to	PART
ajst-26753	50	25	accelerate	accelerate	VERB
ajst-26753	50	26	the	the	DET
ajst-26753	50	27	learning	learning	NOUN
ajst-26753	50	28	process	process	NOUN
ajst-26753	50	29	of	of	ADP
ajst-26753	50	30	the	the	DET
ajst-26753	50	31	model	model	NOUN
ajst-26753	50	32	.	.	PUNCT
ajst-26753	51	1	the	the	DET
ajst-26753	51	2	model	model	NOUN
ajst-26753	51	3	we	we	PRON
ajst-26753	51	4	trained	train	VERB
ajst-26753	51	5	is	be	AUX
ajst-26753	51	6	applied	apply	VERB
ajst-26753	51	7	to	to	ADP
ajst-26753	51	8	the	the	DET
ajst-26753	51	9	match	match	NOUN
ajst-26753	51	10	of	of	ADP
ajst-26753	51	11	bourdon	bourdon	PROPN
ajst-26753	51	12	gentleman	gentleman	NOUN
ajst-26753	51	13	's	's	PART
ajst-26753	51	14	final	final	ADJ
ajst-26753	51	15	,	,	PUNCT
ajst-26753	51	16	and	and	CCONJ
ajst-26753	51	17	the	the	DET
ajst-26753	51	18	dynamic	dynamic	ADJ
ajst-26753	51	19	real	real	ADJ
ajst-26753	51	20	-	-	PUNCT
ajst-26753	51	21	time	time	NOUN
ajst-26753	51	22	scores	score	NOUN
ajst-26753	51	23	of	of	ADP
ajst-26753	51	24	player1	player1	PROPN
ajst-26753	51	25	and	and	CCONJ
ajst-26753	51	26	player2	player2	NOUN
ajst-26753	51	27	are	be	AUX
ajst-26753	51	28	displayed	display	VERB
ajst-26753	51	29	in	in	ADP
ajst-26753	51	30	the	the	DET
ajst-26753	51	31	match	match	NOUN
ajst-26753	51	32	,	,	PUNCT
ajst-26753	51	33	which	which	PRON
ajst-26753	51	34	is	be	AUX
ajst-26753	51	35	convenient	convenient	ADJ
ajst-26753	51	36	for	for	SCONJ
ajst-26753	51	37	us	we	PRON
ajst-26753	51	38	to	to	PART
ajst-26753	51	39	analyze	analyze	VERB
ajst-26753	51	40	the	the	DET
ajst-26753	51	41	competition	competition	NOUN
ajst-26753	51	42	process	process	NOUN
ajst-26753	51	43	.	.	PUNCT
ajst-26753	52	1	3.4	3.4	NUM
ajst-26753	52	2	.	.	PUNCT
ajst-26753	52	3	analysis	analysis	NOUN
ajst-26753	52	4	of	of	ADP
ajst-26753	52	5	experimental	experimental	ADJ
ajst-26753	52	6	results	result	NOUN
ajst-26753	52	7	figure	figure	VERB
ajst-26753	52	8	3	3	NUM
ajst-26753	52	9	.	.	PUNCT
ajst-26753	52	10	average	average	ADJ
ajst-26753	52	11	score	score	NOUN
ajst-26753	52	12	of	of	ADP
ajst-26753	52	13	the	the	DET
ajst-26753	52	14	two	two	NUM
ajst-26753	52	15	-	-	PUNCT
ajst-26753	52	16	player	player	NOUN
ajst-26753	52	17	game	game	NOUN
ajst-26753	52	18	81	81	NUM
ajst-26753	52	19	figure	figure	NOUN
ajst-26753	52	20	4	4	NUM
ajst-26753	52	21	.	.	PUNCT
ajst-26753	53	1	real	real	ADJ
ajst-26753	53	2	-	-	PUNCT
ajst-26753	53	3	time	time	NOUN
ajst-26753	53	4	scores	score	NOUN
ajst-26753	53	5	per	per	ADP
ajst-26753	53	6	game	game	NOUN
ajst-26753	53	7	for	for	ADP
ajst-26753	53	8	player	player	NOUN
ajst-26753	53	9	1	1	NUM
ajst-26753	53	10	(	(	PUNCT
ajst-26753	53	11	left	leave	VERB
ajst-26753	53	12	)	)	PUNCT
ajst-26753	53	13	and	and	CCONJ
ajst-26753	53	14	player	player	NOUN
ajst-26753	53	15	2	2	NUM
ajst-26753	53	16	(	(	PUNCT
ajst-26753	53	17	right	right	NOUN
ajst-26753	53	18	)	)	PUNCT
ajst-26753	53	19	(	(	PUNCT
ajst-26753	53	20	one	one	NUM
ajst-26753	53	21	color	color	NOUN
ajst-26753	53	22	represents	represent	VERB
ajst-26753	53	23	one	one	NUM
ajst-26753	53	24	game	game	NOUN
ajst-26753	53	25	)	)	PUNCT
ajst-26753	53	26	figure	figure	NOUN
ajst-26753	53	27	5	5	NUM
ajst-26753	53	28	.	.	PUNCT
ajst-26753	53	29	dynamic	dynamic	ADJ
ajst-26753	53	30	real	real	ADJ
ajst-26753	53	31	-	-	PUNCT
ajst-26753	53	32	time	time	NOUN
ajst-26753	53	33	scores	score	NOUN
ajst-26753	53	34	of	of	ADP
ajst-26753	53	35	the	the	DET
ajst-26753	53	36	two	two	NUM
ajst-26753	53	37	players	player	NOUN
ajst-26753	53	38	through	through	ADP
ajst-26753	53	39	the	the	DET
ajst-26753	53	40	above	above	ADJ
ajst-26753	53	41	three	three	NUM
ajst-26753	53	42	pictures	picture	NOUN
ajst-26753	53	43	,	,	PUNCT
ajst-26753	53	44	we	we	PRON
ajst-26753	53	45	can	can	AUX
ajst-26753	53	46	clearly	clearly	ADV
ajst-26753	53	47	see	see	VERB
ajst-26753	53	48	the	the	DET
ajst-26753	53	49	score	score	NOUN
ajst-26753	53	50	changes	change	NOUN
ajst-26753	53	51	of	of	ADP
ajst-26753	53	52	the	the	DET
ajst-26753	53	53	two	two	NUM
ajst-26753	53	54	players	player	NOUN
ajst-26753	53	55	and	and	CCONJ
ajst-26753	53	56	their	their	PRON
ajst-26753	53	57	score	score	NOUN
ajst-26753	53	58	performance	performance	NOUN
ajst-26753	53	59	trends	trend	NOUN
ajst-26753	53	60	.	.	PUNCT
ajst-26753	54	1	at	at	ADP
ajst-26753	54	2	the	the	DET
ajst-26753	54	3	same	same	ADJ
ajst-26753	54	4	time	time	NOUN
ajst-26753	54	5	,	,	PUNCT
ajst-26753	54	6	according	accord	VERB
ajst-26753	54	7	to	to	ADP
ajst-26753	54	8	the	the	DET
ajst-26753	54	9	real	real	ADJ
ajst-26753	54	10	-	-	PUNCT
ajst-26753	54	11	time	time	NOUN
ajst-26753	54	12	score	score	NOUN
ajst-26753	54	13	analysis	analysis	NOUN
ajst-26753	54	14	of	of	ADP
ajst-26753	54	15	the	the	DET
ajst-26753	54	16	two	two	NUM
ajst-26753	54	17	players	player	NOUN
ajst-26753	54	18	,	,	PUNCT
ajst-26753	54	19	we	we	PRON
ajst-26753	54	20	also	also	ADV
ajst-26753	54	21	get	get	VERB
ajst-26753	54	22	the	the	DET
ajst-26753	54	23	priority	priority	NOUN
ajst-26753	54	24	degree	degree	NOUN
ajst-26753	54	25	of	of	ADP
ajst-26753	54	26	the	the	DET
ajst-26753	54	27	sixteen	sixteen	NUM
ajst-26753	54	28	indicators	indicator	NOUN
ajst-26753	54	29	in	in	ADP
ajst-26753	54	30	table	table	NOUN
ajst-26753	54	31	1	1	NUM
ajst-26753	54	32	.	.	PUNCT
ajst-26753	55	1	from	from	ADP
ajst-26753	55	2	figure	figure	NOUN
ajst-26753	55	3	5	5	NUM
ajst-26753	55	4	,	,	PUNCT
ajst-26753	55	5	we	we	PRON
ajst-26753	55	6	can	can	AUX
ajst-26753	55	7	see	see	VERB
ajst-26753	55	8	that	that	SCONJ
ajst-26753	55	9	the	the	DET
ajst-26753	55	10	total	total	ADJ
ajst-26753	55	11	mileage	mileage	NOUN
ajst-26753	55	12	in	in	ADP
ajst-26753	55	13	the	the	DET
ajst-26753	55	14	last	last	ADJ
ajst-26753	55	15	three	three	NUM
ajst-26753	55	16	point	point	NOUN
ajst-26753	55	17	has	have	VERB
ajst-26753	55	18	the	the	DET
ajst-26753	55	19	greatest	great	ADJ
ajst-26753	55	20	influence	influence	NOUN
ajst-26753	55	21	on	on	ADP
ajst-26753	55	22	the	the	DET
ajst-26753	55	23	real	real	ADJ
ajst-26753	55	24	-	-	PUNCT
ajst-26753	55	25	time	time	NOUN
ajst-26753	55	26	score	score	NOUN
ajst-26753	55	27	of	of	ADP
ajst-26753	55	28	the	the	DET
ajst-26753	55	29	players	player	NOUN
ajst-26753	55	30	,	,	PUNCT
ajst-26753	55	31	while	while	SCONJ
ajst-26753	55	32	the	the	DET
ajst-26753	55	33	forehand	forehand	NOUN
ajst-26753	55	34	and	and	CCONJ
ajst-26753	55	35	backhand	backhand	NOUN
ajst-26753	55	36	of	of	ADP
ajst-26753	55	37	the	the	DET
ajst-26753	55	38	touchless	touchless	NOUN
ajst-26753	55	39	score	score	NOUN
ajst-26753	55	40	have	have	VERB
ajst-26753	55	41	the	the	DET
ajst-26753	55	42	least	least	ADJ
ajst-26753	55	43	influence	influence	NOUN
ajst-26753	55	44	,	,	PUNCT
ajst-26753	55	45	so	so	SCONJ
ajst-26753	55	46	we	we	PRON
ajst-26753	55	47	can	can	AUX
ajst-26753	55	48	make	make	VERB
ajst-26753	55	49	the	the	DET
ajst-26753	55	50	following	follow	VERB
ajst-26753	55	51	analysis	analysis	NOUN
ajst-26753	55	52	according	accord	VERB
ajst-26753	55	53	to	to	ADP
ajst-26753	55	54	this	this	DET
ajst-26753	55	55	indicator	indicator	NOUN
ajst-26753	55	56	.	.	PUNCT
ajst-26753	56	1	figure	figure	NOUN
ajst-26753	56	2	6	6	NUM
ajst-26753	56	3	.	.	PUNCT
ajst-26753	56	4	influence	influence	NOUN
ajst-26753	56	5	level	level	NOUN
ajst-26753	56	6	of	of	ADP
ajst-26753	56	7	each	each	DET
ajst-26753	56	8	index	index	NOUN
ajst-26753	56	9	for	for	ADP
ajst-26753	56	10	player	player	NOUN
ajst-26753	56	11	1	1	NUM
ajst-26753	56	12	(	(	PUNCT
ajst-26753	56	13	left	leave	VERB
ajst-26753	56	14	)	)	PUNCT
ajst-26753	56	15	and	and	CCONJ
ajst-26753	56	16	player	player	NOUN
ajst-26753	56	17	2	2	NUM
ajst-26753	56	18	(	(	PUNCT
ajst-26753	56	19	right	right	ADJ
ajst-26753	56	20	)	)	PUNCT
ajst-26753	56	21	4	4	NUM
ajst-26753	56	22	.	.	PUNCT
ajst-26753	57	1	conclusions	conclusion	NOUN
ajst-26753	57	2	this	this	DET
ajst-26753	57	3	research	research	NOUN
ajst-26753	57	4	aimed	aim	VERB
ajst-26753	57	5	to	to	PART
ajst-26753	57	6	predict	predict	VERB
ajst-26753	57	7	player	player	NOUN
ajst-26753	57	8	performance	performance	NOUN
ajst-26753	57	9	by	by	ADP
ajst-26753	57	10	utilizing	utilize	VERB
ajst-26753	57	11	various	various	ADJ
ajst-26753	57	12	metrics	metric	NOUN
ajst-26753	57	13	,	,	PUNCT
ajst-26753	57	14	including	include	VERB
ajst-26753	57	15	tennis	tennis	NOUN
ajst-26753	57	16	players	player	NOUN
ajst-26753	57	17	'	'	PART
ajst-26753	57	18	scores	score	NOUN
ajst-26753	57	19	and	and	CCONJ
ajst-26753	57	20	factors	factor	NOUN
ajst-26753	57	21	that	that	PRON
ajst-26753	57	22	influence	influence	VERB
ajst-26753	57	23	these	these	DET
ajst-26753	57	24	scores	score	NOUN
ajst-26753	57	25	in	in	ADP
ajst-26753	57	26	the	the	DET
ajst-26753	57	27	2023	2023	NUM
ajst-26753	57	28	wimbledon	wimbledon	PROPN
ajst-26753	57	29	season	season	NOUN
ajst-26753	57	30	.	.	PUNCT
ajst-26753	58	1	in	in	ADP
ajst-26753	58	2	order	order	NOUN
ajst-26753	58	3	to	to	PART
ajst-26753	58	4	achieve	achieve	VERB
ajst-26753	58	5	this	this	PRON
ajst-26753	58	6	,	,	PUNCT
ajst-26753	58	7	machine	machine	NOUN
ajst-26753	58	8	learning	learning	NOUN
ajst-26753	58	9	techniques	technique	NOUN
ajst-26753	58	10	were	be	AUX
ajst-26753	58	11	employed	employ	VERB
ajst-26753	58	12	for	for	ADP
ajst-26753	58	13	data	datum	NOUN
ajst-26753	58	14	preprocessing	preprocessing	NOUN
ajst-26753	58	15	,	,	PUNCT
ajst-26753	58	16	followed	follow	VERB
ajst-26753	58	17	by	by	ADP
ajst-26753	58	18	training	train	VERB
ajst-26753	58	19	regression	regression	NOUN
ajst-26753	58	20	equations	equation	NOUN
ajst-26753	58	21	using	use	VERB
ajst-26753	58	22	code	code	NOUN
ajst-26753	58	23	.	.	PUNCT
ajst-26753	59	1	to	to	PART
ajst-26753	59	2	begin	begin	VERB
ajst-26753	59	3	,	,	PUNCT
ajst-26753	59	4	data	datum	NOUN
ajst-26753	59	5	on	on	ADP
ajst-26753	59	6	16	16	NUM
ajst-26753	59	7	metrics	metric	NOUN
ajst-26753	59	8	were	be	AUX
ajst-26753	59	9	collected	collect	VERB
ajst-26753	59	10	and	and	CCONJ
ajst-26753	59	11	used	use	VERB
ajst-26753	59	12	to	to	PART
ajst-26753	59	13	train	train	VERB
ajst-26753	59	14	traditional	traditional	ADJ
ajst-26753	59	15	machine	machine	NOUN
ajst-26753	59	16	learning	learning	NOUN
ajst-26753	59	17	models	model	NOUN
ajst-26753	59	18	.	.	PUNCT
ajst-26753	60	1	among	among	ADP
ajst-26753	60	2	these	these	DET
ajst-26753	60	3	82	82	NUM
ajst-26753	60	4	models	model	NOUN
ajst-26753	60	5	,	,	PUNCT
ajst-26753	60	6	the	the	DET
ajst-26753	60	7	lightgbm	lightgbm	ADJ
ajst-26753	60	8	algorithm	algorithm	NOUN
ajst-26753	60	9	demonstrated	demonstrate	VERB
ajst-26753	60	10	the	the	DET
ajst-26753	60	11	best	good	ADJ
ajst-26753	60	12	performance	performance	NOUN
ajst-26753	60	13	and	and	CCONJ
ajst-26753	60	14	was	be	AUX
ajst-26753	60	15	subsequently	subsequently	ADV
ajst-26753	60	16	selected	select	VERB
ajst-26753	60	17	for	for	ADP
ajst-26753	60	18	further	further	ADJ
ajst-26753	60	19	analysis	analysis	NOUN
ajst-26753	60	20	.	.	PUNCT
ajst-26753	61	1	notably	notably	ADV
ajst-26753	61	2	,	,	PUNCT
ajst-26753	61	3	lightgbm	lightgbm	ADJ
ajst-26753	61	4	utilizes	utilize	VERB
ajst-26753	61	5	an	an	DET
ajst-26753	61	6	efficient	efficient	ADJ
ajst-26753	61	7	gradient	gradient	NOUN
ajst-26753	61	8	boosting	boost	VERB
ajst-26753	61	9	framework	framework	NOUN
ajst-26753	61	10	,	,	PUNCT
ajst-26753	61	11	which	which	PRON
ajst-26753	61	12	guarantees	guarantee	VERB
ajst-26753	61	13	both	both	DET
ajst-26753	61	14	high	high	ADJ
ajst-26753	61	15	accuracy	accuracy	NOUN
ajst-26753	61	16	and	and	CCONJ
ajst-26753	61	17	scalability	scalability	NOUN
ajst-26753	61	18	,	,	PUNCT
ajst-26753	61	19	making	make	VERB
ajst-26753	61	20	it	it	PRON
ajst-26753	61	21	ideal	ideal	ADJ
ajst-26753	61	22	for	for	ADP
ajst-26753	61	23	handling	handle	VERB
ajst-26753	61	24	large	large	ADJ
ajst-26753	61	25	datasets	dataset	NOUN
ajst-26753	61	26	.	.	PUNCT
ajst-26753	62	1	additionally	additionally	ADV
ajst-26753	62	2	,	,	PUNCT
ajst-26753	62	3	the	the	DET
ajst-26753	62	4	insights	insight	NOUN
ajst-26753	62	5	derived	derive	VERB
ajst-26753	62	6	from	from	ADP
ajst-26753	62	7	this	this	DET
ajst-26753	62	8	model	model	NOUN
ajst-26753	62	9	can	can	AUX
ajst-26753	62	10	be	be	AUX
ajst-26753	62	11	leveraged	leverage	VERB
ajst-26753	62	12	to	to	PART
ajst-26753	62	13	inform	inform	VERB
ajst-26753	62	14	strategic	strategic	ADJ
ajst-26753	62	15	adjustments	adjustment	NOUN
ajst-26753	62	16	for	for	ADP
ajst-26753	62	17	tournaments	tournament	NOUN
ajst-26753	62	18	.	.	PUNCT
ajst-26753	63	1	references	reference	NOUN
ajst-26753	63	2	[	[	X
ajst-26753	63	3	1	1	NUM
ajst-26753	63	4	]	]	PUNCT
ajst-26753	63	5	wei	wei	PROPN
ajst-26753	63	6	mengli	mengli	PROPN
ajst-26753	63	7	,	,	PUNCT
ajst-26753	63	8	zhong	zhong	PROPN
ajst-26753	63	9	yaping	yaping	PROPN
ajst-26753	63	10	,	,	PUNCT
ajst-26753	63	11	gui	gui	NOUN
ajst-26753	63	12	huixian	huixian	NOUN
ajst-26753	63	13	,	,	PUNCT
ajst-26753	63	14	et	et	PROPN
ajst-26753	63	15	al	al	PROPN
ajst-26753	63	16	.	.	PUNCT
ajst-26753	64	1	a	a	DET
ajst-26753	64	2	machine	machine	NOUN
ajst-26753	64	3	learning	learn	VERB
ajst-26753	64	4	based	base	VERB
ajst-26753	64	5	sports	sport	NOUN
ajst-26753	64	6	injury	injury	NOUN
ajst-26753	64	7	warning	warn	VERB
ajst-26753	64	8	model[j	model[j	PROPN
ajst-26753	64	9	]	]	X
ajst-26753	64	10	.	.	PUNCT
ajst-26753	65	1	chinese	chinese	ADJ
ajst-26753	65	2	journal	journal	PROPN
ajst-26753	65	3	of	of	ADP
ajst-26753	65	4	tissue	tissue	NOUN
ajst-26753	65	5	engineering	engineering	NOUN
ajst-26753	65	6	research	research	NOUN
ajst-26753	65	7	,	,	PUNCT
ajst-26753	65	8	2025	2025	NUM
ajst-26753	65	9	,	,	PUNCT
ajst-26753	65	10	29	29	NUM
ajst-26753	65	11	(	(	PUNCT
ajst-26753	65	12	02	02	NUM
ajst-26753	65	13	):	):	PUNCT
ajst-26753	65	14	409	409	NUM
ajst-26753	65	15	-	-	SYM
ajst-26753	65	16	418	418	NUM
ajst-26753	65	17	.	.	PUNCT
ajst-26753	66	1	[	[	X
ajst-26753	66	2	2	2	NUM
ajst-26753	66	3	]	]	X
ajst-26753	66	4	kong	kong	PROPN
ajst-26753	66	5	xiangshen	xiangshen	PROPN
ajst-26753	66	6	,	,	PUNCT
ajst-26753	66	7	chu	chu	PROPN
ajst-26753	66	8	xiangtong	xiangtong	PROPN
ajst-26753	66	9	,	,	PUNCT
ajst-26753	66	10	gao	gao	PROPN
ajst-26753	66	11	han	han	PROPN
ajst-26753	66	12	,	,	PUNCT
ajst-26753	66	13	et	et	PROPN
ajst-26753	66	14	al	al	PROPN
ajst-26753	66	15	.	.	PUNCT
ajst-26753	67	1	empowering	empower	VERB
ajst-26753	67	2	innovative	innovative	ADJ
ajst-26753	67	3	applications	application	NOUN
ajst-26753	67	4	and	and	CCONJ
ajst-26753	67	5	development	development	NOUN
ajst-26753	67	6	of	of	ADP
ajst-26753	67	7	sports	sport	NOUN
ajst-26753	67	8	with	with	ADP
ajst-26753	67	9	digital	digital	ADJ
ajst-26753	67	10	intelligence	intelligence	NOUN
ajst-26753	67	11	:	:	PUNCT
ajst-26753	67	12	a	a	DET
ajst-26753	67	13	review	review	NOUN
ajst-26753	67	14	of	of	ADP
ajst-26753	67	15	the	the	DET
ajst-26753	67	16	14th	14th	ADJ
ajst-26753	67	17	international	international	ADJ
ajst-26753	67	18	symposium	symposium	NOUN
ajst-26753	67	19	on	on	ADP
ajst-26753	67	20	sports	sport	NOUN
ajst-26753	67	21	computer	computer	NOUN
ajst-26753	67	22	science[j	science[j	NOUN
ajst-26753	67	23	]	]	PUNCT
ajst-26753	67	24	.	.	PUNCT
ajst-26753	68	1	sports	sport	NOUN
ajst-26753	68	2	research	research	NOUN
ajst-26753	68	3	,	,	PUNCT
ajst-26753	68	4	2023	2023	NUM
ajst-26753	68	5	,	,	PUNCT
ajst-26753	68	6	44	44	NUM
ajst-26753	68	7	(	(	PUNCT
ajst-26753	68	8	06	06	NUM
ajst-26753	68	9	):	):	PUNCT
ajst-26753	68	10	20	20	NUM
ajst-26753	68	11	-	-	SYM
ajst-26753	68	12	26	26	NUM
ajst-26753	68	13	.	.	PUNCT
ajst-26753	69	1	[	[	X
ajst-26753	69	2	3	3	X
ajst-26753	69	3	]	]	X
ajst-26753	69	4	gao	gao	PROPN
ajst-26753	69	5	xuebo	xuebo	PROPN
ajst-26753	69	6	,	,	PUNCT
ajst-26753	69	7	yang	yang	PROPN
ajst-26753	69	8	jihong	jihong	PROPN
ajst-26753	69	9	.	.	PUNCT
ajst-26753	70	1	research	research	NOUN
ajst-26753	70	2	on	on	ADP
ajst-26753	70	3	swimming	swimming	NOUN
ajst-26753	70	4	training	training	NOUN
ajst-26753	70	5	method	method	NOUN
ajst-26753	70	6	based	base	VERB
ajst-26753	70	7	on	on	ADP
ajst-26753	70	8	machine	machine	NOUN
ajst-26753	70	9	learning[j	learning[j	NOUN
ajst-26753	70	10	]	]	PUNCT
ajst-26753	70	11	.	.	PUNCT
ajst-26753	71	1	journal	journal	PROPN
ajst-26753	71	2	of	of	ADP
ajst-26753	71	3	lanzhou	lanzhou	PROPN
ajst-26753	71	4	university	university	PROPN
ajst-26753	71	5	of	of	ADP
ajst-26753	71	6	arts	art	NOUN
ajst-26753	71	7	and	and	CCONJ
ajst-26753	71	8	sciences	science	NOUN
ajst-26753	71	9	(	(	PUNCT
ajst-26753	71	10	natural	natural	ADJ
ajst-26753	71	11	science	science	NOUN
ajst-26753	71	12	edition	edition	NOUN
ajst-26753	71	13	)	)	PUNCT
ajst-26753	71	14	,	,	PUNCT
ajst-26753	71	15	2024	2024	NUM
ajst-26753	71	16	,	,	PUNCT
ajst-26753	71	17	38	38	NUM
ajst-26753	71	18	(	(	PUNCT
ajst-26753	71	19	03	03	NUM
ajst-26753	71	20	):	):	PUNCT
ajst-26753	71	21	110	110	NUM
ajst-26753	71	22	-	-	SYM
ajst-26753	71	23	114	114	NUM
ajst-26753	71	24	.	.	PUNCT
ajst-26753	72	1	[	[	X
ajst-26753	72	2	4	4	X
ajst-26753	72	3	]	]	PUNCT
ajst-26753	72	4	aziz	aziz	PROPN
ajst-26753	72	5	rabia	rabia	PROPN
ajst-26753	72	6	musheer	musheer	PROPN
ajst-26753	72	7	,	,	PUNCT
ajst-26753	72	8	baluch	baluch	PROPN
ajst-26753	72	9	mohammed	mohammed	PROPN
ajst-26753	72	10	farhan	farhan	PROPN
ajst-26753	72	11	,	,	PUNCT
ajst-26753	72	12	patel	patel	PROPN
ajst-26753	72	13	sarthak	sarthak	PROPN
ajst-26753	72	14	,	,	PUNCT
ajst-26753	72	15	et	et	PROPN
ajst-26753	72	16	al	al	PROPN
ajst-26753	72	17	.	.	PROPN
ajst-26753	72	18	lightgbm	lightgbm	PROPN
ajst-26753	72	19	:	:	PUNCT
ajst-26753	72	20	a	a	DET
ajst-26753	72	21	machine	machine	NOUN
ajst-26753	72	22	learning	learn	VERB
ajst-26753	72	23	approach	approach	NOUN
ajst-26753	72	24	for	for	ADP
ajst-26753	72	25	ethereum	ethereum	NOUN
ajst-26753	72	26	fraud	fraud	NOUN
ajst-26753	72	27	detection[j	detection[j	PROPN
ajst-26753	72	28	]	]	PUNCT
ajst-26753	72	29	.	.	PUNCT
ajst-26753	73	1	international	international	ADJ
ajst-26753	73	2	journal	journal	PROPN
ajst-26753	73	3	of	of	ADP
ajst-26753	73	4	information	information	NOUN
ajst-26753	73	5	technology	technology	NOUN
ajst-26753	73	6	,	,	PUNCT
ajst-26753	73	7	2022	2022	NUM
ajst-26753	73	8	,	,	PUNCT
ajst-26753	73	9	14(7	14(7	NUM
ajst-26753	73	10	):	):	PUNCT
ajst-26753	73	11	3321	3321	NUM
ajst-26753	73	12	-	-	SYM
ajst-26753	73	13	3331	3331	NUM
ajst-26753	73	14	.	.	PUNCT
ajst-26753	74	1	[	[	X
ajst-26753	74	2	5	5	NUM
ajst-26753	74	3	]	]	PUNCT
ajst-26753	74	4	sharma	sharma	PROPN
ajst-26753	74	5	sachin	sachin	PROPN
ajst-26753	74	6	.	.	PUNCT
ajst-26753	75	1	stroke	stroke	NOUN
ajst-26753	75	2	prediction	prediction	NOUN
ajst-26753	75	3	using	use	VERB
ajst-26753	75	4	xgb	xgb	PROPN
ajst-26753	75	5	classifier	classifier	NOUN
ajst-26753	75	6	,	,	PUNCT
ajst-26753	75	7	logistic	logistic	ADJ
ajst-26753	75	8	regression	regression	NOUN
ajst-26753	75	9	,	,	PUNCT
ajst-26753	75	10	gaussiannb	gaussiannb	ADJ
ajst-26753	75	11	and	and	CCONJ
ajst-26753	75	12	bernaullinb	bernaullinb	ADJ
ajst-26753	75	13	classifier	classifier	NOUN
ajst-26753	76	1	[	[	X
ajst-26753	76	2	c	c	X
ajst-26753	76	3	]	]	X
ajst-26753	76	4	.	.	PUNCT
ajst-26753	77	1	2023	2023	NUM
ajst-26753	77	2	international	international	ADJ
ajst-26753	77	3	conference	conference	NOUN
ajst-26753	77	4	on	on	ADP
ajst-26753	77	5	circuit	circuit	NOUN
ajst-26753	77	6	power	power	NOUN
ajst-26753	77	7	and	and	CCONJ
ajst-26753	77	8	computing	computing	NOUN
ajst-26753	77	9	technologies	technology	NOUN
ajst-26753	77	10	(	(	PUNCT
ajst-26753	77	11	iccpct	iccpct	ADJ
ajst-26753	77	12	)	)	PUNCT
ajst-26753	77	13	.	.	PUNCT
ajst-26753	78	1	ieee	ieee	NOUN
ajst-26753	78	2	,	,	PUNCT
ajst-26753	78	3	2023	2023	NUM
ajst-26753	78	4	:	:	PUNCT
ajst-26753	78	5	1577	1577	NUM
ajst-26753	78	6	-	-	SYM
ajst-26753	78	7	1581	1581	NUM
ajst-26753	78	8	.	.	PUNCT
ajst-26753	79	1	[	[	X
ajst-26753	79	2	6	6	NUM
ajst-26753	79	3	]	]	X
ajst-26753	79	4	mannino	mannino	PROPN
ajst-26753	79	5	,	,	PUNCT
ajst-26753	79	6	gaetano	gaetano	PROPN
ajst-26753	79	7	,	,	PUNCT
ajst-26753	79	8	et	et	PROPN
ajst-26753	79	9	al	al	PROPN
ajst-26753	79	10	.	.	PUNCT
ajst-26753	80	1	"	"	PUNCT
ajst-26753	80	2	nonlinear	nonlinear	ADJ
ajst-26753	80	3	and	and	CCONJ
ajst-26753	80	4	multivariate	multivariate	NOUN
ajst-26753	80	5	regression	regression	NOUN
ajst-26753	80	6	models	model	NOUN
ajst-26753	80	7	of	of	ADP
ajst-26753	80	8	current	current	ADJ
ajst-26753	80	9	and	and	CCONJ
ajst-26753	80	10	voltage	voltage	NOUN
ajst-26753	80	11	at	at	ADP
ajst-26753	80	12	maximum	maximum	ADJ
ajst-26753	80	13	power	power	NOUN
ajst-26753	80	14	point	point	NOUN
ajst-26753	80	15	of	of	ADP
ajst-26753	80	16	bifacial	bifacial	ADJ
ajst-26753	80	17	photovoltaic	photovoltaic	NOUN
ajst-26753	80	18	strings	string	NOUN
ajst-26753	80	19	.	.	PUNCT
ajst-26753	80	20	"	"	PUNCT
ajst-26753	81	1	solar	solar	ADJ
ajst-26753	81	2	energy	energy	NOUN
ajst-26753	81	3	269	269	NUM
ajst-26753	81	4	(	(	PUNCT
ajst-26753	81	5	2024	2024	NUM
ajst-26753	81	6	):	):	PUNCT
ajst-26753	81	7	112357	112357	NUM
ajst-26753	81	8	.	.	PUNCT
ajst-26753	82	1	[	[	X
ajst-26753	82	2	7	7	NUM
ajst-26753	82	3	]	]	X
ajst-26753	82	4	song	song	NOUN
ajst-26753	82	5	,	,	PUNCT
ajst-26753	82	6	honglin	honglin	PROPN
ajst-26753	82	7	,	,	PUNCT
ajst-26753	82	8	et	et	PROPN
ajst-26753	82	9	al	al	PROPN
ajst-26753	82	10	.	.	PUNCT
ajst-26753	83	1	"	"	PUNCT
ajst-26753	83	2	using	use	VERB
ajst-26753	83	3	complex	complex	ADJ
ajst-26753	83	4	networks	network	NOUN
ajst-26753	83	5	and	and	CCONJ
ajst-26753	83	6	multiple	multiple	ADJ
ajst-26753	83	7	artificial	artificial	ADJ
ajst-26753	83	8	intelligence	intelligence	NOUN
ajst-26753	83	9	algorithms	algorithm	NOUN
ajst-26753	83	10	for	for	ADP
ajst-26753	83	11	table	table	NOUN
ajst-26753	83	12	tennis	tennis	NOUN
ajst-26753	83	13	match	match	NOUN
ajst-26753	83	14	action	action	NOUN
ajst-26753	83	15	recognition	recognition	NOUN
ajst-26753	83	16	and	and	CCONJ
ajst-26753	83	17	technical	technical	ADJ
ajst-26753	83	18	-	-	PUNCT
ajst-26753	83	19	tactical	tactical	ADJ
ajst-26753	83	20	analysis	analysis	NOUN
ajst-26753	83	21	.	.	PUNCT
ajst-26753	83	22	"	"	PUNCT
ajst-26753	83	23	chaos	chaos	NOUN
ajst-26753	83	24	,	,	PUNCT
ajst-26753	83	25	solitons	soliton	NOUN
ajst-26753	83	26	&	&	CCONJ
ajst-26753	83	27	fractals	fractal	NOUN
ajst-26753	83	28	178	178	NUM
ajst-26753	83	29	(	(	PUNCT
ajst-26753	83	30	2024	2024	NUM
ajst-26753	83	31	):	):	PUNCT
ajst-26753	83	32	114343	114343	NUM
ajst-26753	83	33	.	.	PUNCT