benchmark_datasets

Benchmark Datasets

KGpip is evaluated against state-of-the-art on the 121 benchmark datasets shown bellow:

ID	Dataset	Rows	Columns	Classes	Numerical	Categorical	Textual	Size (MB)	Task	Source	Papers
1	adult	48842	14	2	6	8	0	5.7	binary	AutoML	FLAML, AL
2	airlines	539383	7	2	4	3	0	18.3	binary	AutoML	FLAML
3	albert	425240	78	2	78	0	0	155.4	binary	AutoML	FLAML
4	Amazon_employee_access	32769	9	2	9	0	0	1.9	binary	AutoML	FLAML
5	APSFailure	76000	170	2	170	0	0	74.8	binary	AutoML	FLAML
6	Australian	690	14	2	14	0	0	0	binary	AutoML	FLAML
7	bank-marketing	45211	16	2	7	9	0	3.5	binary	AutoML	FLAML
8	blood-transfusion-service-center	748	4	2	4	0	0	0	binary	AutoML	FLAML
9	christine	5418	1636	2	1636	0	0	31.4	binary	AutoML	FLAML
10	credit-g	1000	20	2	7	13	0	0.1	binary	AutoML	FLAML
11	guillermo	20000	4296	2	4296	0	0	424.5	binary	AutoML	FLAML
12	higgs	98050	28	2	28	0	0	43.3	binary	AutoML	FLAML, VolcanoML
13	jasmine	2984	144	2	144	0	0	1.7	binary	AutoML	FLAML
14	kc1	2109	21	2	21	0	0	0.1	binary	AutoML	FLAML, VolcanoML
15	KDDCup09_appetency	50000	230	2	192	38	0	32.8	binary	AutoML	FLAML
16	kr-vs-kp	3196	36	2	0	36	0	0.5	binary	AutoML	FLAML
17	MiniBooNE	130064	50	2	50	0	0	69.4	binary	AutoML	FLAML
18	nomao	34465	118	2	118	0	0	19.3	binary	AutoML	FLAML
19	numerai28.6	96320	21	2	21	0	0	34.9	binary	AutoML	FLAML
20	phoneme	5404	5	2	5	0	0	0.3	binary	AutoML	FLAML, VolcanoML
21	riccardo	20000	4296	2	4296	0	0	414	binary	AutoML	FLAML
22	sylvine	5124	20	2	20	0	0	0.4	binary	AutoML	FLAML
23	car	1728	6	4	0	6	0	0.1	multi-class	AutoML	FLAML
24	cnae-9	1080	856	9	856	0	0	1.8	multi-class	AutoML	FLAML
25	connect-4	67557	42	3	42	0	0	5.5	multi-class	AutoML	FLAML
26	covertype	581012	54	7	54	0	0	71.7	multi-class	AutoML	FLAML, AL
27	dilbert	10000	2000	5	2000	0	0	176	multi-class	AutoML	FLAML
28	dionis	416188	60	355	60	0	0	110.1	multi-class	AutoML	FLAML
29	fabert	8237	800	7	800	0	0	13	multi-class	AutoML	FLAML
30	Fashion-MNIST	70000	784	10	784	0	0	148	multi-class	AutoML	FLAML
31	helena	65196	27	100	27	0	0	14.6	multi-class	AutoML	FLAML
32	jannis	83733	54	4	54	0	0	36.7	multi-class	AutoML	FLAML
33	jungle_chess_2pcs_raw_endgame_complete	44819	6	3	6	0	0	0.6	multi-class	AutoML	FLAML
34	mfeat-factors	2000	216	10	216	0	0	1.4	multi-class	AutoML	FLAML
35	robert	10000	7200	10	7200	0	0	268.1	multi-class	AutoML	FLAML
36	segment	2310	19	7	19	0	0	0.3	multi-class	AutoML	FLAML, VolcanoML
37	shuttle	58000	9	7	9	0	0	1.5	multi-class	AutoML	FLAML
38	vehicle	846	18	4	18	0	0	0.1	multi-class	AutoML	FLAML
39	volkert	58310	180	10	180	0	0	65.1	multi-class	AutoML	FLAML
40	2dplanes	40768	10	-	10	0	0	2.4	regression	PMLB	FLAML
41	bng_breastTumor	116640	9	-	9	0	0	6	regression	PMLB	FLAML
42	bng_echomonths	17496	9	-	9	0	0	2.3	regression	PMLB	FLAML
43	bng_lowbwt	31104	9	-	9	0	0	2.4	regression	PMLB	FLAML
44	bng_pbc	1000000	18	-	18	0	0	220.8	regression	PMLB	FLAML
45	bng_pharynx	1000000	10	-	10	0	0	68.6	regression	PMLB	FLAML
46	bng_pwLinear	177147	10	-	10	0	0	10.6	regression	PMLB	FLAML
47	fried	40768	10	-	10	0	0	8.1	regression	PMLB	FLAML
48	house_16H	22784	16	-	16	0	0	5.8	regression	PMLB	FLAML
49	house_8L	22784	8	-	8	0	0	2.8	regression	PMLB	FLAML
50	houses	20640	8	-	8	0	0	1.8	regression	PMLB	FLAML
51	mv	40768	11	-	11	0	0	5.9	regression	PMLB	FLAML
52	poker	1025010	10	-	10	0	0	23	regression	PMLB	FLAML
53	pol	15000	48	-	48	0	0	3	regression	PMLB	FLAML
54	breast_cancer_wisconsin	569	30	2	30	0	0	0.1	binary	PMLB	AL
55	detecting-insults-in-social-commentary	3947	2	2	0	1	1	0.8	binary	Kaggle	AL
56	fri_c1_1000_25	1000	25	2	25	0	0	0.2	binary	OpenML	AL
57	Hill_Valley_with_noise	1212	100	2	100	0	0	0.8	binary	PMLB	AL
58	Hill_Valley_without_noise	1212	100	2	100	0	0	1.5	binary	PMLB	AL
59	ionosphere	351	34	2	34	0	0	0.1	binary	PMLB	AL
60	MagicTelescope	19020	11	2	11	0	0	1.5	binary	OpenML	AL
61	OVA_Breast	1545	10936	2	10936	0	0	103.3	binary	OpenML	AL
62	pc4	1458	37	2	37	0	0	0.2	binary	OpenML	AL, VolcanoML
63	quake	2178	3	2	3	0	0	0	binary	OpenML	AL, VolcanoML
64	sick	3772	29	2	7	22	0	0.3	binary	OpenML	AL, VolcanoML
65	spambase	4601	57	2	57	0	0	1.1	binary	PMLB	AL, VolcanoML
66	titanic	891	11	2	6	4	1	0.1	binary	Kaggle	AL
67	car_evaluation	1728	21	4	21	0	0	0.1	multi-class	PMLB	AL
68	glass	205	9	5	9	0	0	0	multi-class	PMLB	AL
69	kropt	28056	6	18	3	3	0	0.5	multi-class	OpenML	AL, VolcanoML
70	mnist_784	70000	784	10	784	0	0	122	multi-class	OpenML	AL, VolcanoML
71	sentiment-analysis-on-movie-reviews	156060	3	5	2	0	1	8.1	multi-class	Kaggle	AL
72	splice	3190	61	3	0	61	0	0.4	multi-class	OpenML	AL
73	spooky-author-identification	19579	2	3	0	1	1	3.1	multi-class	Kaggle	AL
74	wine_quality_red	1599	11	6	11	0	0	0.1	multi-class	PMLB	AL
75	wine_quality_white	4898	11	7	11	0	0	0.3	multi-class	PMLB	AL
76	housing-prices	1460	80	-	37	43	0	0.4	regression	Kaggle	AL
77	mercedes-benz-greener-manufacturing	4209	377	-	369	8	0	3.1	regression	Kaggle	AL
78	ailerons	13750	40	2	40	0	0	2.2	binary	OpenML	VolcanoML
79	analcatdata_supreme	4052	7	2	7	0	0	0.1	binary	OpenML	VolcanoML
80	bank32nh_833	8192	32	2	32	0	0	2.1	binary	OpenML	VolcanoML
81	cpu_act_761	8192	21	2	21	0	0	0.7	binary	OpenML	VolcanoML
82	cpu_small_735	8192	12	2	12	0	0	0.4	binary	OpenML	VolcanoML
83	delta_ailerons	7129	5	2	5	0	0	0.3	binary	OpenML	VolcanoML
84	delta_elevators	9517	6	2	6	0	0	0.3	binary	OpenML	VolcanoML
85	eeg-eye-state	14980	14	2	14	0	0	1.6	binary	OpenML	VolcanoML
86	electricity	45312	8	2	8	0	0	2.9	binary	OpenML	VolcanoML
87	jm1	10885	21	2	21	0	0	0.8	binary	OpenML	VolcanoML
88	kin8nm_807	8192	8	2	8	0	0	0.6	binary	OpenML	VolcanoML
89	mammography	11183	6	2	6	0	0	0.8	binary	OpenML	VolcanoML
90	mc1	9466	38	2	38	0	0	1	binary	OpenML	VolcanoML
91	ozone-level-8hr	2534	72	2	72	0	0	0.9	binary	OpenML	VolcanoML
92	page-blocks	5473	10	2	10	0	0	0.2	binary	OpenML	VolcanoML
93	pollen_871	3848	5	2	5	0	0	0.1	binary	OpenML	VolcanoML
94	puma32H_752	8192	32	2	32	0	0	2.3	binary	OpenML	VolcanoML
95	puma8NH_816	8192	8	2	8	0	0	0.6	binary	OpenML	VolcanoML
96	space_ga_737	3107	6	2	6	0	0	0.2	binary	OpenML	VolcanoML
97	waveform-5000	5000	40	2	40	0	0	1	binary	OpenML	VolcanoML
98	wind_847	6574	14	2	14	0	0	0.4	binary	OpenML	VolcanoML
99	abalone	4177	8	28	7	1	0	0.2	multi-class	OpenML	VolcanoML
100	optdigits	5620	64	10	64	0	0	0.8	multi-class	OpenML	VolcanoML
101	pendigits	10992	16	10	16	0	0	0.7	multi-class	OpenML	VolcanoML
102	satimage	6430	36	6	36	0	0	2.1	multi-class	OpenML	VolcanoML
103	bank32nh_558	8192	32	-	32	0	0	2.4	regression	OpenML	VolcanoML
104	bank8FM	8192	8	-	8	0	0	0.6	regression	OpenML	VolcanoML
105	cpu_act_573	8192	21	-	21	0	0	1	regression	OpenML	VolcanoML
106	cpu_small_227	8192	12	-	12	0	0	0.6	regression	OpenML	VolcanoML
107	debutanizer	2394	7	-	7	0	0	0.2	regression	OpenML	VolcanoML
108	kin8nm_189	8192	8	-	8	0	0	1.1	regression	OpenML	VolcanoML
109	Moneyball	1232	14	-	12	2	0	0.1	regression	OpenML	VolcanoML
110	pollen_529	3848	5	-	5	0	0	0.2	regression	OpenML	VolcanoML
111	puma32H_308	8192	32	-	32	0	0	2.7	regression	OpenML	VolcanoML
112	puma8NH_225	8192	8	-	8	0	0	0.7	regression	OpenML	VolcanoML
113	rainfall_bangladesh	16755	3	-	1	2	0	0.4	regression	OpenML	VolcanoML
114	socmob	1156	5	-	1	4	0	0.1	regression	OpenML	VolcanoML
115	space_ga_507	3107	6	-	6	0	0	0.5	regression	OpenML	VolcanoML
116	stock	950	9	-	9	0	0	0.1	regression	OpenML	VolcanoML
117	sulfur	10081	6	-	6	0	0	0.6	regression	OpenML	VolcanoML
118	us_crime	1994	127	-	126	1	0	1.1	regression	OpenML	VolcanoML
119	weather_izmir	1461	9	-	9	0	0	0.1	regression	OpenML	VolcanoML
120	wind_503	6574	14	-	14	0	0	0.5	regression	OpenML	VolcanoML
121	witmer_census_1980	50	5	-	4	1	0	0	regression	OpenML	VolcanoML