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segment (1) |
0.9787087323451 |
anneal (222) |
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Weather (43) |
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anneal (220) |
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XOR (46) |
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anneal (224) |
0.5692694611232 |
anneal (226) |
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anneal (219) |
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Diabetes(scikit-learn) (22) |
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XOR (45) |
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anneal (221) |
0.96268036929829 |
anneal (225) |
0.9917695473251 |
Weather (44) |
0.42222222222222 |
monks-problems-1 (1) |
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irish (1) |
1 |
gina_agnostic (1) |
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MagicTelescope (1) |
0.8736396474842 |
fruitfly (1) |
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cjs (3) |
1 |
dresses-sales (2) |
0.54343185550082 |
jm1 (1) |
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mfeat-factors (1) |
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balance-scale (1) |
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optdigits (1) |
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letter (1) |
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cmc (1) |
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soybean (1) |
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pc1 (1) |
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banknote-authentication (1) |
0.98722623811368 |
cardiotocography (1) |
0.99873092096623 |
gas-drift (1) |
0.98723445422551 |
ilpd (1) |
0.60797155688623 |
ozone-level-8hr (1) |
0.67385872999158 |
phoneme (1) |
0.87563282902981 |
tamilnadu-electricity (1) |
1 |
wilt (1) |
0.94577514650276 |
mbagrade (1) |
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sleep (1) |
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vowel (2) |
0.8406290684624 |
synthetic_control (1) |
0.95086833333333 |
kc1 (1) |
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wall-robot-navigation (1) |
0.9970299294603 |
steel-plates-fault (1) |
1 |
Amazon_employee_access (1) |
0.49986821296784 |
GesturePhaseSegmentationProcessed (1) |
0.7543775851886 |
kin8nm (1) |
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qsar-biodeg (1) |
0.8412017167382 |
satimage (1) |
0.96233345503522 |
nomao (1) |
0.97458415949055 |
Click_prediction_small (5) |
0.6433842752636 |
anneal (234) |
0.96268036929829 |
Diabetes(scikit-learn) (23) |
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anneal (244) |
0.9917695473251 |
XOR (50) |
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anneal (228) |
0.5692694611232 |
anneal (237) |
0.96268036929829 |
anneal (242) |
0.96268036929829 |
anneal (231) |
0.9917695473251 |
Weather (47) |
0.42222222222222 |
Weather (45) |
0.42222222222222 |
TEST08f51af3c8-pandas_testing_dataset (1) |
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TESTa365aee568-UploadTestWithURL (1) |
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anneal (233) |
0.96268036929829 |
anneal (240) |
0.96268036929829 |
anneal (229) |
0.96268036929829 |
TEST037907c164-pandas_testing_dataset (3) |
0.2 |
TESTa540f38c2d-pandas_testing_dataset (1) |
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TESTfd496f5b4d-XOR (1) |
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TEST037907c164-pandas_testing_dataset (2) |
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XOR (47) |
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XOR (48) |
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TEST82462bce44-UploadTestWithURL (1) |
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XOR (49) |
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anneal (241) |
0.96268036929829 |
anneal (227) |
0.96268036929829 |
anneal (236) |
0.96268036929829 |
TESTa540f38c2d-pandas_testing_dataset (4) |
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Weather (46) |
0.42222222222222 |
Weather (48) |
0.42222222222222 |
anneal (235) |
0.65745452680268 |
TESTa540f38c2d-pandas_testing_dataset (2) |
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TESTa540f38c2d-pandas_testing_dataset (3) |
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anneal (238) |
0.96268036929829 |
Diabetes(scikit-learn) (24) |
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GermanCreditModified (1) |
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GermanCreditModified (3) |
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GermanCreditModified (2) |
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TEST062fea70c5-XOR (1) |
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anneal (249) |
0.5692694611232 |
Weather (50) |
0.42222222222222 |
anneal (246) |
0.5692694611232 |
anneal (251) |
0.96268036929829 |
anneal (252) |
0.5692694611232 |
anneal (247) |
0.96268036929829 |
anneal (245) |
0.96268036929829 |
XOR (51) |
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anneal (250) |
0.9917695473251 |
Weather (49) |
0.42222222222222 |
Diabetes(scikit-learn) (25) |
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XOR (52) |
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ada_agnostic (1) |
0.85515728502406 |
pc4 (1) |
0.86794022120787 |
first-order-theorem-proving (1) |
0.74745977861626 |
one-hundred-plants-texture (1) |
0.7928013225616 |
wdbc (1) |
0.96517097405 |
pharynx (1) |
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analcatdata_dmft (1) |
0.533826206903 |
Australian (3) |
0.85896956140873 |
waveform-5000 (1) |
0.89523111791754 |
monks-problems-2 (1) |
0.51711933144894 |
JapaneseVowels (1) |
0.95360055883765 |
adult (2) |
0.87842733110279 |
anneal (232) |
0.5692694611232 |
monks-problems-3 (1) |
0.98504725355054 |
analcatdata_authorship (1) |
0.94584560250496 |
diabetes (1) |
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eeg-eye-state (1) |
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collins (1) |
1 |
kc2 (1) |
0.77775025334985 |
anneal (253) |
0.5692694611232 |
anneal (255) |
0.5692694611232 |
anneal (257) |
0.96268036929829 |
anneal (260) |
0.9917695473251 |
Weather (52) |
0.42222222222222 |
anneal (1) |
0.96268036929829 |
Diabetes(scikit-learn) (26) |
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longley (1) |
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iris (1) |
0.955 |
anneal (259) |
0.96268036929829 |
anneal (258) |
0.96268036929829 |
XOR (54) |
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Weather (51) |
0.42222222222222 |
XOR (53) |
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anneal (254) |
0.5692694611232 |