| mbagrade (1) |
2 |
| wdbc (1) |
2 |
| vehicle (1) |
4 |
| jm1 (1) |
2 |
| cleveland (1) |
4 |
| ada_agnostic (1) |
2 |
| cholesterol (1) |
4 |
| madelon (1) |
2 |
| one-hundred-plants-texture (1) |
100 |
| micro-mass (2) |
20 |
| mfeat-zernike (1) |
10 |
| MagicTelescope (1) |
2 |
| mfeat-karhunen (1) |
10 |
| credit-a (1) |
14 |
| mushroom (1) |
12 |
| tamilnadu-electricity (1) |
31 |
| Click_prediction_small (5) |
2 |
| isolet (1) |
26 |
| cylinder-bands (2) |
71 |
| autoMpg (1) |
13 |
| mfeat-morphological (1) |
10 |
| pc1 (1) |
2 |
| credit-g (1) |
10 |
| qsar-biodeg (1) |
2 |
| iris-challenge (1) |
3 |
| spambase (1) |
2 |
| splice (1) |
6 |
| anneal (3) |
7 |
| vowel (2) |
15 |
| ilpd (1) |
2 |
| blood-transfusion-service-center (1) |
2 |
| artificial-characters (1) |
10 |
| mozilla4 (1) |
2 |
| kc1 (1) |
2 |
| fourclass_scale (1) |
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| analcatdata_dmft (1) |
9 |
| optdigits (1) |
10 |
| GesturePhaseSegmentationProcessed (1) |
5 |
| eeg-eye-state (1) |
2 |
| wilt (1) |
2 |
| pharynx (1) |
6 |
| kin8nm (1) |
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| gina_agnostic (1) |
2 |
| Amazon_employee_access (1) |
7518 |
| sick (1) |
5 |
| profb (1) |
28 |
| wall-robot-navigation (1) |
4 |
| monks-problems-2 (1) |
4 |
| wisconsin (1) |
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| triazines (1) |
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| bolts (1) |
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| har (1) |
6 |
| gas-drift (1) |
6 |
| scene (1) |
2 |
| mfeat-fourier (1) |
10 |
| anneal (2) |
7 |
| semeion (1) |
10 |
| one-hundred-plants-margin (1) |
100 |
| banknote-authentication (1) |
2 |
| cardiotocography (1) |
10 |
| cloud (1) |
4 |
| adult (2) |
41 |
| climate-model-simulation-crashes (1) |
2 |
| a (1) |
3 |
| letter (1) |
26 |
| Australian (3) |
2 |
| tic-tac-toe (1) |
3 |
| mfeat-pixel (1) |
10 |
| MiceProtein (1) |
1080 |
| fruitfly (1) |
3 |
| analcatdata_authorship (1) |
4 |
| pc3 (1) |
2 |
| autoPrice (1) |
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| auto_price (1) |
6 |
| musk (1) |
102 |
| hill-valley (1) |
2 |
| anneal (6) |
7 |
| ozone-level-8hr (1) |
2 |
| irish (1) |
10 |
| electricity (1) |
7 |
| satimage (1) |
6 |
| lowbwt (1) |
6 |
| nomao (1) |
3 |
| breast-w (1) |
2 |
| monks-problems-3 (1) |
4 |
| pbc (1) |
4 |
| delta_elevators (1) |
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| vineyard (1) |
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| texture (1) |
11 |
| mfeat-factors (1) |
10 |
| eucalyptus (1) |
27 |
| pendigits (1) |
10 |
| pc4 (1) |
2 |
| UNIX_user_data (1) |
9 |
| detroit (1) |
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| synthetic_control (1) |
6 |
| abalone (1) |
28 |
| anneal (5) |
7 |
| waveform-5000 (1) |
3 |
| LED-display-domain-7digit (1) |
10 |
| steel-plates-fault (1) |
2 |
| PhishingWebsites (1) |
3 |
| car (1) |
4 |
| a (2) |
3 |
| iris (2) |
3 |
| cpu_act (1) |
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| anneal (7) |
7 |
| anneal (8) |
7 |
| anneal (11) |
7 |
| anneal (12) |
7 |
| anneal (9) |
7 |
| anneal (10) |
7 |
| anneal (13) |
7 |
| anneal (15) |
7 |
| TESTcd6b36175d-ModifiedWeather (1) |
3 |
| TEST79d5120512-XOR (1) |
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| anneal (16) |
7 |
| TEST03ae3917f9-pandas_testing_dataset (1) |
3 |
| TESTfce9706bd8-pandas_testing_dataset (1) |
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| anneal (20) |
7 |
| anneal (25) |
7 |
| anneal (64) |
7 |
| TESTc236f8668b-pandas_testing_dataset (1) |
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| anneal (52) |
7 |
| anneal (23) |
7 |
| anneal (51) |
7 |
| TEST42f439d59e-ModifiedWeather (1) |
3 |
| TEST6cd383bd36-pandas_testing_dataset (3) |
5 |
| TESTb73fca9dea-pandas_testing_dataset (3) |
5 |
| TEST1c031057be-XOR (1) |
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| anneal (69) |
7 |
| anneal (37) |
7 |
| anneal (28) |
7 |
| TEST68b8719aa6-pandas_testing_dataset (3) |
5 |
| anneal (54) |
7 |
| TEST497883d61c-XOR (1) |
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| anneal (61) |
7 |
| anneal (77) |
7 |
| anneal (68) |
7 |
| TESTfb8c9dda6b-pandas_testing_dataset (1) |
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| TEST12cee25e4e-ModifiedWeather (1) |
3 |
| TESTfb357f8e8d-ModifiedWeather (1) |
3 |
| TEST24233797e6-XOR (1) |
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| TESTb1d41eaa75-XOR (1) |
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| anneal (63) |
7 |
| TESTc236f8668b-pandas_testing_dataset (2) |
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| anneal (21) |
7 |
| TEST63cf2e1fbd-pandas_testing_dataset (4) |
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| anneal (58) |
7 |
| TESTfb8c9dda6b-pandas_testing_dataset (3) |
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| anneal (76) |
7 |
| TEST2ea13bc990-pandas_testing_dataset (3) |
5 |
| anneal (18) |
7 |
| anneal (101) |
7 |
| anneal (47) |
7 |
| anneal (89) |
7 |
| anneal (14) |
7 |
| TEST0ce86503a9-XOR (1) |
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| anneal (26) |
7 |
| anneal (45) |
7 |
| anneal (60) |
7 |
| anneal (39) |
7 |
| anneal (106) |
7 |
| anneal (86) |
7 |
| anneal (31) |
7 |
| anneal (78) |
7 |
| TEST843467ee18-XOR (1) |
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| anneal (67) |
7 |
| TEST95346f9559-pandas_testing_dataset (3) |
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| TEST15ca9f322a-pandas_testing_dataset (3) |
5 |
| anneal (100) |
7 |
| anneal (107) |
7 |
| TESTfd7b579d2e-UploadTestWithURL (1) |
3 |
| anneal (44) |
7 |
| anneal (22) |
7 |
| anneal (96) |
7 |
| anneal (84) |
7 |
| TEST03ae3917f9-pandas_testing_dataset (3) |
5 |
| TEST95346f9559-pandas_testing_dataset (2) |
|
| TEST2ea13bc990-pandas_testing_dataset (1) |
3 |
| TEST2ea13bc990-pandas_testing_dataset (2) |
|
| anneal (30) |
7 |
| TESTf376696645-ModifiedWeather (1) |
3 |
| anneal (34) |
7 |
| TEST6ca4501805-pandas_testing_dataset (1) |
3 |
| anneal (88) |
7 |
| anneal (36) |
7 |
| anneal (94) |
7 |
| anneal (72) |
7 |
| TESTe23b3943e2-XOR (1) |
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| TESTc682124a7c-pandas_testing_dataset (3) |
5 |
| TEST15ca9f322a-pandas_testing_dataset (1) |
3 |
| TEST17559f05ba-XOR (1) |
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| anneal (90) |
7 |
| TEST06a78f9b67-pandas_testing_dataset (2) |
|
| anneal (35) |
7 |
| anneal (41) |
7 |
| anneal (32) |
7 |
| TESTfb8c9dda6b-pandas_testing_dataset (2) |
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| TEST6cd383bd36-pandas_testing_dataset (2) |
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| TEST09797384d7-pandas_testing_dataset (2) |
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| TESTfb8c9dda6b-pandas_testing_dataset (4) |
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| TESTc236f8668b-pandas_testing_dataset (3) |
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| TESTb73fca9dea-pandas_testing_dataset (2) |
|
| anneal (19) |
7 |
| TESTc31b13a56a-XOR (1) |
|
| anneal (75) |
7 |
| anneal (73) |
7 |
| anneal (55) |
7 |
| TESTe3a1b5909b-pandas_testing_dataset (1) |
2 |
| TEST15ca9f322a-pandas_testing_dataset (2) |
|
| TEST63cf2e1fbd-pandas_testing_dataset (2) |
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| TEST09797384d7-pandas_testing_dataset (3) |
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| TEST63cf2e1fbd-pandas_testing_dataset (1) |
|
| TEST95346f9559-pandas_testing_dataset (1) |
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| TESTbd626c29c8-XOR (1) |
|
| anneal (95) |
7 |
| TEST06a78f9b67-pandas_testing_dataset (4) |
|
| anneal (33) |
7 |
| TEST95346f9559-pandas_testing_dataset (4) |
|
| anneal (59) |
7 |
| anneal (99) |
7 |
| anneal (82) |
7 |
| TEST6cd383bd36-pandas_testing_dataset (1) |
3 |
| TEST257d57cd52-XOR (1) |
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| TEST09797384d7-pandas_testing_dataset (4) |
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| TEST06a78f9b67-pandas_testing_dataset (3) |
|
| TESTad9ec77a46-UploadTestWithURL (1) |
3 |
| anneal (62) |
7 |
| TEST06a78f9b67-pandas_testing_dataset (1) |
|
| anneal (53) |
7 |
| anneal (93) |
7 |
| anneal (65) |
7 |
| anneal (38) |
7 |
| anneal (42) |
7 |
| anneal (66) |
7 |
| TEST09797384d7-pandas_testing_dataset (1) |
|
| TESTb73fca9dea-pandas_testing_dataset (1) |
3 |
| anneal (29) |
7 |
| anneal (24) |
7 |
| anneal (102) |
7 |
| anneal (97) |
7 |
| anneal (70) |
26 |
| TESTb3cf06a12a-ModifiedWeather (1) |
3 |
| TEST6ca4501805-pandas_testing_dataset (2) |
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| TESTc236f8668b-pandas_testing_dataset (4) |
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| TESTa7fbefc142-pandas_testing_dataset (2) |
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| TEST63cf2e1fbd-pandas_testing_dataset (3) |
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| TEST03ae3917f9-pandas_testing_dataset (2) |
|
| anneal (56) |
7 |
| anneal (103) |
7 |
| anneal (108) |
7 |
| anneal (109) |
7 |
| TEST6ca4501805-pandas_testing_dataset (3) |
5 |
| Bioresponse (1) |
2 |
| cjs (3) |
57 |
| dresses-sales (2) |
24 |
| pol (1) |
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| sleep (1) |
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| diabetes_numeric (1) |
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| soybean (1) |
19 |
| JapaneseVowels (1) |
9 |
| first-order-theorem-proving (1) |
6 |
| one-hundred-plants-shape (1) |
100 |
| cmc (1) |
4 |
| cnae-9 (1) |
9 |
| segment (1) |
7 |
| monks-problems-1 (1) |
4 |
| sylva_agnostic (1) |
2 |
| bank-marketing (1) |
12 |
| phoneme (1) |
2 |
| anneal (115) |
7 |
| anneal (112) |
7 |
| quake (1) |
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| collins (1) |
15 |
| kc2 (1) |
2 |
| anneal (1) |
7 |
| diabetes (1) |
2 |
| kr-vs-kp (1) |
3 |
| balance-scale (1) |
3 |
| anneal (120) |
7 |
| anneal (122) |
7 |
| anneal (116) |
7 |
| anneal (129) |
7 |
| anneal (118) |
7 |
| anneal (111) |
7 |
| Weather (1) |
3 |
| anneal (124) |
7 |
| Weather (2) |
3 |
| anneal (126) |
7 |
| XOR (1) |
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| anneal (119) |
7 |
| anneal (130) |
7 |
| anneal (125) |
7 |
| anneal (113) |
7 |
| anneal (121) |
7 |
| anneal (123) |
7 |
| Diabetes(scikit-learn) (1) |
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| XOR (2) |
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| anneal (128) |
7 |
| anneal (117) |
7 |
| anneal (110) |
7 |
| longley (1) |
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| anneal (131) |
7 |
| iris (1) |
3 |
| anneal (132) |
7 |