mbagrade (1) |
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wdbc (1) |
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vehicle (1) |
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jm1 (1) |
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cleveland (1) |
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ada_agnostic (1) |
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cholesterol (1) |
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madelon (1) |
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one-hundred-plants-texture (1) |
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micro-mass (2) |
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mfeat-zernike (1) |
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MagicTelescope (1) |
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mfeat-karhunen (1) |
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credit-a (1) |
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mushroom (1) |
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tamilnadu-electricity (1) |
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Click_prediction_small (5) |
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isolet (1) |
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cylinder-bands (2) |
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autoMpg (1) |
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mfeat-morphological (1) |
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pc1 (1) |
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credit-g (1) |
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qsar-biodeg (1) |
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iris-challenge (1) |
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spambase (1) |
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splice (1) |
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anneal (3) |
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vowel (2) |
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ilpd (1) |
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blood-transfusion-service-center (1) |
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artificial-characters (1) |
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mozilla4 (1) |
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kc1 (1) |
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fourclass_scale (1) |
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analcatdata_dmft (1) |
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optdigits (1) |
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GesturePhaseSegmentationProcessed (1) |
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eeg-eye-state (1) |
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wilt (1) |
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pharynx (1) |
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kin8nm (1) |
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gina_agnostic (1) |
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Amazon_employee_access (1) |
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sick (1) |
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profb (1) |
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wall-robot-navigation (1) |
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monks-problems-2 (1) |
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wisconsin (1) |
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triazines (1) |
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bolts (1) |
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har (1) |
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gas-drift (1) |
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scene (1) |
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mfeat-fourier (1) |
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anneal (2) |
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semeion (1) |
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one-hundred-plants-margin (1) |
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banknote-authentication (1) |
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cardiotocography (1) |
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cloud (1) |
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adult (2) |
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climate-model-simulation-crashes (1) |
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a (1) |
0.86 |
letter (1) |
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Australian (3) |
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tic-tac-toe (1) |
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mfeat-pixel (1) |
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MiceProtein (1) |
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fruitfly (1) |
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analcatdata_authorship (1) |
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pc3 (1) |
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autoPrice (1) |
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auto_price (1) |
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musk (1) |
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hill-valley (1) |
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anneal (6) |
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ozone-level-8hr (1) |
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irish (1) |
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electricity (1) |
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satimage (1) |
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lowbwt (1) |
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nomao (1) |
0.85241384972172 |
breast-w (1) |
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monks-problems-3 (1) |
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pbc (1) |
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delta_elevators (1) |
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vineyard (1) |
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texture (1) |
0.882 |
mfeat-factors (1) |
0.78555555555556 |
eucalyptus (1) |
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pendigits (1) |
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pc4 (1) |
0.32590363939992 |
UNIX_user_data (1) |
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detroit (1) |
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synthetic_control (1) |
0.85 |
abalone (1) |
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anneal (5) |
0.79532504368526 |
waveform-5000 (1) |
0.56257405189276 |
LED-display-domain-7digit (1) |
0.63762960855105 |
steel-plates-fault (1) |
0.31045809387848 |
PhishingWebsites (1) |
0.88761955763799 |
car (1) |
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a (2) |
0.9 |
iris (2) |
0.9 |
cpu_act (1) |
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anneal (7) |
0.79532504368526 |
anneal (8) |
0.79532504368526 |
anneal (11) |
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anneal (12) |
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anneal (9) |
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anneal (10) |
0.79532504368526 |
anneal (13) |
0.79532504368526 |
anneal (15) |
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TESTcd6b36175d-ModifiedWeather (1) |
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TEST79d5120512-XOR (1) |
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anneal (16) |
0.79532504368526 |
TEST03ae3917f9-pandas_testing_dataset (1) |
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TESTfce9706bd8-pandas_testing_dataset (1) |
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anneal (20) |
0.09436363903399 |
anneal (25) |
0.79532504368526 |
anneal (64) |
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TESTc236f8668b-pandas_testing_dataset (1) |
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anneal (52) |
0.79532504368526 |
anneal (23) |
0.79532504368526 |
anneal (51) |
0.79532504368526 |
TEST42f439d59e-ModifiedWeather (1) |
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TEST6cd383bd36-pandas_testing_dataset (3) |
-0.25 |
TESTb73fca9dea-pandas_testing_dataset (3) |
-0.25 |
TEST1c031057be-XOR (1) |
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anneal (69) |
0.09436363903399 |
anneal (37) |
0.79532504368526 |
anneal (28) |
0.79532504368526 |
TEST68b8719aa6-pandas_testing_dataset (3) |
-0.25 |
anneal (54) |
0.79532504368526 |
TEST497883d61c-XOR (1) |
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anneal (61) |
0.79532504368526 |
anneal (77) |
0.79532504368526 |
anneal (68) |
0.79532504368526 |
TESTfb8c9dda6b-pandas_testing_dataset (1) |
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TEST12cee25e4e-ModifiedWeather (1) |
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TESTfb357f8e8d-ModifiedWeather (1) |
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TEST24233797e6-XOR (1) |
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TESTb1d41eaa75-XOR (1) |
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anneal (63) |
0.79532504368526 |
TESTc236f8668b-pandas_testing_dataset (2) |
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anneal (21) |
0.79532504368526 |
TEST63cf2e1fbd-pandas_testing_dataset (4) |
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anneal (58) |
0.09436363903399 |
TESTfb8c9dda6b-pandas_testing_dataset (3) |
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anneal (76) |
0.79532504368526 |
TEST2ea13bc990-pandas_testing_dataset (3) |
-0.25 |
anneal (18) |
0.79532504368526 |
anneal (101) |
0.79532504368526 |
anneal (47) |
0.79532504368526 |
anneal (89) |
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anneal (14) |
0.79532504368526 |
TEST0ce86503a9-XOR (1) |
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anneal (26) |
0.09436363903399 |
anneal (45) |
0.79532504368526 |
anneal (60) |
0.79532504368526 |
anneal (39) |
0.09436363903399 |
anneal (106) |
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anneal (86) |
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anneal (31) |
0.79532504368526 |
anneal (78) |
0.79532504368526 |
TEST843467ee18-XOR (1) |
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anneal (67) |
0.79532504368526 |
TEST95346f9559-pandas_testing_dataset (3) |
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TEST15ca9f322a-pandas_testing_dataset (3) |
-0.25 |
anneal (100) |
0.79532504368526 |
anneal (107) |
0.79532504368526 |
TESTfd7b579d2e-UploadTestWithURL (1) |
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anneal (44) |
0.79532504368526 |
anneal (22) |
0.79532504368526 |
anneal (96) |
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anneal (84) |
0.79532504368526 |
TEST03ae3917f9-pandas_testing_dataset (3) |
-0.25 |
TEST95346f9559-pandas_testing_dataset (2) |
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TEST2ea13bc990-pandas_testing_dataset (1) |
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TEST2ea13bc990-pandas_testing_dataset (2) |
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anneal (30) |
0.79532504368526 |
TESTf376696645-ModifiedWeather (1) |
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anneal (34) |
0.79532504368526 |
TEST6ca4501805-pandas_testing_dataset (1) |
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anneal (88) |
0.79532504368526 |
anneal (36) |
0.09436363903399 |
anneal (94) |
0.79532504368526 |
anneal (72) |
0.79532504368526 |
TESTe23b3943e2-XOR (1) |
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TESTc682124a7c-pandas_testing_dataset (3) |
-0.25 |
TEST15ca9f322a-pandas_testing_dataset (1) |
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TEST17559f05ba-XOR (1) |
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anneal (90) |
0.79532504368526 |
TEST06a78f9b67-pandas_testing_dataset (2) |
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anneal (35) |
0.09436363903399 |
anneal (41) |
0.79532504368526 |
anneal (32) |
0.79532504368526 |
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) |
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anneal (19) |
0.79532504368526 |
TESTc31b13a56a-XOR (1) |
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anneal (75) |
0.79532504368526 |
anneal (73) |
0.79532504368526 |
anneal (55) |
0.79532504368526 |
TESTe3a1b5909b-pandas_testing_dataset (1) |
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TEST15ca9f322a-pandas_testing_dataset (2) |
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TEST63cf2e1fbd-pandas_testing_dataset (2) |
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TEST09797384d7-pandas_testing_dataset (3) |
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TEST63cf2e1fbd-pandas_testing_dataset (1) |
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TEST95346f9559-pandas_testing_dataset (1) |
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TESTbd626c29c8-XOR (1) |
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anneal (95) |
0.79532504368526 |
TEST06a78f9b67-pandas_testing_dataset (4) |
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anneal (33) |
0.79532504368526 |
TEST95346f9559-pandas_testing_dataset (4) |
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anneal (59) |
0.79532504368526 |
anneal (99) |
0.79532504368526 |
anneal (82) |
0.79532504368526 |
TEST6cd383bd36-pandas_testing_dataset (1) |
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TEST257d57cd52-XOR (1) |
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TEST09797384d7-pandas_testing_dataset (4) |
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TEST06a78f9b67-pandas_testing_dataset (3) |
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TESTad9ec77a46-UploadTestWithURL (1) |
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anneal (62) |
0.79532504368526 |
TEST06a78f9b67-pandas_testing_dataset (1) |
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anneal (53) |
0.79532504368526 |
anneal (93) |
0.79532504368526 |
anneal (65) |
0.09436363903399 |
anneal (38) |
0.79532504368526 |
anneal (42) |
0.79532504368526 |
anneal (66) |
0.79532504368526 |
TEST09797384d7-pandas_testing_dataset (1) |
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TESTb73fca9dea-pandas_testing_dataset (1) |
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anneal (29) |
0.79532504368526 |
anneal (24) |
0.79532504368526 |
anneal (102) |
0.09436363903399 |
anneal (97) |
0.79532504368526 |
anneal (70) |
0.816017080292 |
TESTb3cf06a12a-ModifiedWeather (1) |
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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) |
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anneal (56) |
0.09436363903399 |
anneal (103) |
0.79532504368526 |
anneal (108) |
0.60153584930825 |
anneal (109) |
0.60153584930825 |
TEST6ca4501805-pandas_testing_dataset (3) |
-0.25 |
Bioresponse (1) |
0.35412344094215 |
cjs (3) |
0.79146268316209 |
dresses-sales (2) |
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pol (1) |
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sleep (1) |
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diabetes_numeric (1) |
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soybean (1) |
0.79601919852507 |
JapaneseVowels (1) |
0.8169971694548 |
first-order-theorem-proving (1) |
0.13480148990054 |
one-hundred-plants-shape (1) |
0.36868686868687 |
cmc (1) |
0.19342354382448 |
cnae-9 (1) |
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segment (1) |
0.93535353535354 |
monks-problems-1 (1) |
0.84892086330935 |
sylva_agnostic (1) |
0.6698766756059 |
bank-marketing (1) |
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phoneme (1) |
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anneal (115) |
0.79532504368526 |
anneal (112) |
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quake (1) |
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collins (1) |
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kc2 (1) |
0.38280536629908 |
anneal (1) |
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diabetes (1) |
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kr-vs-kp (1) |
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balance-scale (1) |
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anneal (120) |
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anneal (122) |
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anneal (116) |
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anneal (129) |
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anneal (118) |
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anneal (111) |
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anneal (124) |
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Weather (2) |
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anneal (126) |
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XOR (1) |
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anneal (130) |
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anneal (125) |
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anneal (113) |
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anneal (121) |
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anneal (123) |
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Diabetes(scikit-learn) (1) |
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XOR (2) |
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anneal (128) |
0.79532504368526 |
anneal (117) |
0.09436363903399 |
anneal (110) |
0.60153584930825 |
longley (1) |
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0.60153584930825 |
iris (1) |
0.9 |
anneal (132) |
0.60153584930825 |