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| 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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| lowbwt (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 (333) |
0 |
| anneal (332) |
0 |
| anneal (335) |
0 |
| anneal (334) |
0 |
| anneal (331) |
0 |
| kr-vs-kp (1) |
0.28756000355035 |
| mfeat-pixel (1) |
1.6279751735711 |
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| mfeat-factors (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) |
0.60822398032728 |
| isolet (1) |
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| vowel (2) |
0.99679163198164 |
| scene (1) |
0.62944314151951 |
| monks-problems-1 (1) |
0.99985298610229 |
| monks-problems-2 (1) |
0.99999400873876 |
| monks-problems-3 (1) |
0.99993418978829 |
| sick (1) |
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| soybean (1) |
0.46293285931684 |
| splice (1) |
1.986921112054 |
| tic-tac-toe (1) |
1.5281455950065 |
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| credit-g (1) |
0.90897791488343 |
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| optdigits (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) |
4.5635906153848 |
| PhishingWebsites (1) |
0.57105871740761 |
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| cylinder-bands (2) |
0.36055986437557 |
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3.0053026619536 |
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| wall-robot-navigation (1) |
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| tamilnadu-electricity (1) |
4.9363991674913 |
| adult (2) |
0.83431982635267 |
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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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| JapaneseVowels (1) |
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| irish (1) |
1 |
| analcatdata_authorship (1) |
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| analcatdata_dmft (1) |
1.1087927619842 |
| pc1 (1) |
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| Click_prediction_small (5) |
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| bank-marketing (1) |
0.78593313182223 |
| banknote-authentication (1) |
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| blood-transfusion-service-center (1) |
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| cardiotocography (1) |
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| nomao (1) |
0.42865729664102 |
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| phoneme (1) |
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| one-hundred-plants-margin (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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| synthetic_control (1) |
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| wdbc (1) |
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| dresses-sales (2) |
1.9828514861071 |
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| car (1) |
1.5849625007212 |
| MagicTelescope (1) |
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| balance-scale (1) |
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| anneal (336) |
0 |
| anneal (338) |
0 |
| anneal (337) |
0 |
| mushroom (1) |
0.82866181049934 |
| profb (1) |
0.14288500188495 |
| sylva_agnostic (1) |
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| kc1 (1) |
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| musk (1) |
4.5836871666917 |
| artificial-characters (1) |
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| cnae-9 (1) |
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| one-hundred-plants-shape (1) |
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| steel-plates-fault (1) |
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| cholesterol (1) |
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| mfeat-fourier (1) |
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| credit-a (1) |
0.8162006158246 |
| wilt (1) |
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| electricity (1) |
2.8073500566367 |
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| breast-w (1) |
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| autoMpg (1) |
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| jm1 (1) |
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| diabetes (1) |
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| eeg-eye-state (1) |
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| collins (1) |
-0 |
| kc2 (1) |
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| anneal (344) |
0 |
| anneal (339) |
0 |
| anneal (342) |
0 |
| anneal (343) |
0 |
| Weather (66) |
-0 |
| anneal (1) |
0 |
| XOR (68) |
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| XOR (67) |
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| longley (1) |
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| iris (1) |
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| anneal (341) |
0 |
| anneal (340) |
0 |
| Weather (65) |
0.98522813603425 |
| anneal (346) |
0 |
| Diabetes(scikit-learn) (33) |
|