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| XOR (59) |
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| anneal (281) |
-0 |
| anneal (285) |
-0 |
| anneal (282) |
-0 |
| anneal (283) |
-0 |
| Weather (58) |
-0 |
| Diabetes(scikit-learn) (29) |
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| mbagrade (1) |
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| cleveland (1) |
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| auto_price (1) |
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| waveform-5000 (1) |
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| climate-model-simulation-crashes (1) |
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| anneal (304) |
-0 |
| anneal (306) |
-0 |
| anneal (295) |
-0 |
| anneal (298) |
-0 |
| XOR (61) |
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| anneal (297) |
-0 |
| anneal (305) |
-0 |
| anneal (294) |
-0 |
| anneal (290) |
-0 |
| anneal (300) |
-0 |
| anneal (289) |
-0 |
| anneal (307) |
-0 |
| Weather (60) |
-0 |
| Weather (59) |
0.98522813603425 |
| Diabetes(scikit-learn) (30) |
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| anneal (299) |
-0 |
| XOR (62) |
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| anneal (301) |
-0 |
| anneal (302) |
-0 |
| segment (1) |
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| abalone (1) |
1.5815100477525 |
| MiceProtein (1) |
0.99777247208998 |
| detroit (1) |
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| anneal (319) |
-0 |
| anneal (316) |
-0 |
| anneal (318) |
-0 |
| anneal (321) |
-0 |
| anneal (320) |
-0 |
| anneal (317) |
-0 |
| anneal (309) |
-0 |
| anneal (314) |
-0 |
| Weather (62) |
-0 |
| XOR (63) |
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| Diabetes(scikit-learn) (31) |
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| XOR (64) |
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| anneal (311) |
-0 |
| anneal (312) |
-0 |
| anneal (310) |
-0 |
| anneal (308) |
-0 |
| anneal (315) |
-0 |
| Weather (61) |
0.98522813603425 |
| UNIX_user_data (1) |
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| autoMpg (1) |
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| lowbwt (1) |
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| longley (1) |
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| anneal (328) |
-0 |
| anneal (324) |
-0 |
| anneal (329) |
-0 |
| anneal (326) |
-0 |
| Weather (63) |
0.98522813603425 |
| Weather (64) |
-0 |
| Diabetes(scikit-learn) (32) |
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| anneal (323) |
-0 |
| anneal (327) |
-0 |
| anneal (322) |
-0 |
| XOR (66) |
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| XOR (65) |
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| anneal (330) |
-0 |
| anneal (1) |
-0 |
| anneal (333) |
-0 |
| anneal (332) |
-0 |
| anneal (335) |
-0 |
| anneal (334) |
-0 |
| anneal (331) |
-0 |
| kr-vs-kp (1) |
0.004094030352642 |
| mfeat-pixel (1) |
0.53446048972333 |
| mfeat-morphological (1) |
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| mfeat-factors (1) |
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| mushroom (1) |
-0 |
| breast-w (1) |
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| mfeat-karhunen (1) |
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| letter (1) |
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| mfeat-zernike (1) |
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| cmc (1) |
0.38067166304016 |
| mfeat-fourier (1) |
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| isolet (1) |
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| vowel (2) |
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| scene (1) |
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| monks-problems-1 (1) |
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| monks-problems-2 (1) |
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| monks-problems-3 (1) |
0.99984957497843 |
| sick (1) |
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| soybean (1) |
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| splice (1) |
1.6679869019048 |
| tic-tac-toe (1) |
1.470628454904 |
| electricity (1) |
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| eucalyptus (1) |
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| credit-a (1) |
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| credit-g (1) |
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| pendigits (1) |
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| diabetes (1) |
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| optdigits (1) |
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| cnae-9 (1) |
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| eeg-eye-state (1) |
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| first-order-theorem-proving (1) |
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| har (1) |
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| ilpd (1) |
0.80092315748775 |
| madelon (1) |
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| Amazon_employee_access (1) |
3.0029342121607 |
| PhishingWebsites (1) |
0.25613896593888 |
| GesturePhaseSegmentationProcessed (1) |
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| cylinder-bands (2) |
-0 |
| cjs (3) |
3.0053026619536 |
| LED-display-domain-7digit (1) |
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| wall-robot-navigation (1) |
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| steel-plates-fault (1) |
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| tamilnadu-electricity (1) |
4.9363991674913 |
| wilt (1) |
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| adult (2) |
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| gina_agnostic (1) |
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| ada_agnostic (1) |
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| mozilla4 (1) |
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| pc4 (1) |
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| pc3 (1) |
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| jm1 (1) |
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| JapaneseVowels (1) |
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| irish (1) |
1 |
| analcatdata_authorship (1) |
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| analcatdata_dmft (1) |
0.99959000718495 |
| profb (1) |
-0 |
| collins (1) |
-0 |
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| kc2 (1) |
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| kc1 (1) |
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| pc1 (1) |
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| musk (1) |
4.5836871666917 |
| Click_prediction_small (5) |
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| artificial-characters (1) |
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| bank-marketing (1) |
0.13021221197172 |
| banknote-authentication (1) |
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| blood-transfusion-service-center (1) |
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| cardiotocography (1) |
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| nomao (1) |
0.19985561336572 |
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| phoneme (1) |
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| one-hundred-plants-margin (1) |
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| one-hundred-plants-shape (1) |
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| one-hundred-plants-texture (1) |
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| qsar-biodeg (1) |
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| micro-mass (2) |
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| vehicle (1) |
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| texture (1) |
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| Australian (3) |
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| iris (1) |
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| gas-drift (1) |
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| synthetic_control (1) |
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| wdbc (1) |
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| dresses-sales (2) |
1.3729342705989 |
| hill-valley (1) |
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| car (1) |
1.5849625007212 |
| MagicTelescope (1) |
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| balance-scale (1) |
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