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anneal (157) |
405.17326983791 |
anneal (126) |
405.17326983791 |
TEST0817090897-pandas_testing_dataset (1) |
6.8549438147467 |
TEST0380554bf7-pandas_testing_dataset (4) |
1.0644306937947 |
TEST3ee36e8050-XOR (1) |
0.57735026918963 |
anneal (137) |
405.17326983791 |
Weather (24) |
8.4284428503184 |
anneal (148) |
405.17326983791 |
anneal (94) |
405.17326983791 |
anneal (162) |
405.17326983791 |
TESTaae5145e5a-pandas_testing_dataset (3) |
0.54772255750517 |
Weather (21) |
8.4284428503184 |
TEST5f324b2a59-pandas_testing_dataset (2) |
0.55156684612642 |
TEST2aa7f500a9-pandas_testing_dataset (1) |
6.8549438147467 |
TESTf8293d7a08-pandas_testing_dataset (1) |
6.8549438147467 |
TEST5f324b2a59-pandas_testing_dataset (1) |
6.8549438147467 |
TESTb9afa86415-pandas_testing_dataset (4) |
1.0644306937947 |
TEST0380554bf7-pandas_testing_dataset (3) |
0.54772255750517 |
anneal (156) |
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anneal (135) |
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anneal (150) |
405.17326983791 |
anneal (116) |
2.2737711454464 |
XOR (22) |
0.52578342306321 |
TESTf8293d7a08-pandas_testing_dataset (3) |
|
TESTa7f4a278b1-pandas_testing_dataset (3) |
0.54772255750517 |
TEST2c8d16b5fc-XOR (1) |
0.57735026918963 |
XOR (16) |
0.52578342306321 |
TEST468d7bc5fb-UploadTestWithURL (1) |
0.94731040024829 |
anneal (160) |
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anneal (153) |
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anneal (147) |
2.2737711454464 |
Weather (14) |
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Weather (17) |
8.4284428503184 |
Weather (13) |
8.4284428503184 |
TEST8b50f94dd0-pandas_testing_dataset (3) |
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XOR (24) |
0.52578342306321 |
XOR (18) |
0.52578342306321 |
XOR (20) |
0.52578342306321 |
anneal (144) |
405.17326983791 |
anneal (154) |
405.17326983791 |
TEST65d4158d00-pandas_testing_dataset (4) |
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Weather (18) |
8.4284428503184 |
Weather (20) |
8.4284428503184 |
TEST5495fa0b29-ModifiedWeather (1) |
8.4284428503184 |
TESTf835401612-pandas_testing_dataset (1) |
6.8549438147467 |
Diabetes(scikit-learn) (7) |
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Diabetes(scikit-learn) (9) |
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Diabetes(scikit-learn) (12) |
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TESTe58a794a8e-XOR (1) |
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XOR (23) |
0.57735026918963 |
anneal (158) |
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anneal (118) |
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anneal (109) |
405.17326983791 |
anneal (155) |
405.17326983791 |
anneal (164) |
405.17326983791 |
Weather (22) |
8.4284428503184 |
TESTb9afa86415-pandas_testing_dataset (2) |
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semeion (1) |
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synthetic_control (1) |
9.7516912443097 |
gina_agnostic (1) |
77.249752558043 |
MagicTelescope (1) |
29.334586025262 |
one-hundred-plants-texture (1) |
0.026961524921387 |
spambase (1) |
15.193997694547 |
cnae-9 (1) |
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har (1) |
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cylinder-bands (2) |
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anneal (67) |
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anneal (165) |
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anneal (166) |
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anneal (170) |
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anneal (171) |
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Weather (25) |
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XOR (26) |
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Weather (26) |
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anneal (169) |
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anneal (167) |
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anneal (172) |
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Diabetes(scikit-learn) (13) |
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XOR (25) |
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analcatdata_authorship (1) |
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climate-model-simulation-crashes (1) |
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wdbc (1) |
34.904718603212 |
Amazon_employee_access (1) |
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GesturePhaseSegmentationProcessed (1) |
0.0053401254163503 |
pol (1) |
7.2387133246587 |
steel-plates-fault (1) |
123291.94556078 |
triazines (1) |
0.1794846773336 |
cardiotocography (1) |
60.498825891828 |
PhishingWebsites (1) |
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satimage (1) |
1.0000219953863 |
ada_agnostic (1) |
14.345589094667 |
anneal (177) |
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anneal (183) |
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anneal (174) |
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Diabetes(scikit-learn) (15) |
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anneal (189) |
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Diabetes(scikit-learn) (14) |
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anneal (175) |
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Weather (27) |
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anneal (186) |
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anneal (187) |
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anneal (179) |
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anneal (178) |
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XOR (28) |
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XOR (30) |
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XOR (27) |
0.57735026918963 |
anneal (182) |
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anneal (173) |
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anneal (184) |
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anneal (188) |
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anneal (181) |
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Weather (30) |
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XOR (29) |
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scene (1) |
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qsar-biodeg (1) |
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texture (1) |
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Click_prediction_small (5) |
1513460.5708349 |
ozone-level-8hr (1) |
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jm1 (1) |
21963.75301398 |
wall-robot-navigation (1) |
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anneal (192) |
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gas-drift (1) |
2729.3079146825 |
madelon (1) |
24.752039667547 |
UNIX_user_data (1) |
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mbagrade (1) |
32.870236812007 |
wisconsin (1) |
33.395154998879 |
sleep (1) |
250.44718318607 |
mozilla4 (1) |
220055.54406718 |
tamilnadu-electricity (1) |
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kc1 (1) |
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splice (1) |
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electricity (1) |
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one-hundred-plants-margin (1) |
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anneal (202) |
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Weather (36) |
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anneal (190) |
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anneal (193) |
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anneal (211) |
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anneal (201) |
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anneal (204) |
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8.4284428503184 |
Diabetes(scikit-learn) (16) |
7.0517450008347 |
XOR (33) |
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anneal (206) |
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anneal (209) |
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anneal (212) |
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anneal (216) |
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XOR (32) |
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Diabetes(scikit-learn) (17) |
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XOR (34) |
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XOR (36) |
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anneal (199) |
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anneal (191) |
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anneal (198) |
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anneal (196) |
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anneal (197) |
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detroit (1) |
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anneal (194) |
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anneal (226) |
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anneal (227) |
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anneal (217) |
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anneal (220) |
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anneal (231) |
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anneal (205) |
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anneal (224) |
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anneal (233) |
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anneal (214) |
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anneal (229) |
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anneal (218) |
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anneal (232) |
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anneal (228) |
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mabbob_ela_as_2d_regression_DiagonalCMA (1) |
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anneal (200) |
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anneal (219) |
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mabbob_ela_as_2d_regression_RCobyla (1) |
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mabbob_ela_as_5d_classify (1) |
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mabbob_ela_as_2d_classify (2) |
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mabbob_ela_as_2d_regression_modcma (1) |
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mabbob_ela_as_5d_regression_DiagonalCMA (1) |
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mabbob_ela_as_5d_regression_RCobyla (1) |
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mabbob_ela_as_5d_regression_modcma (1) |
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anneal (223) |
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mabbob_ela_as_2d_classify (1) |
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mabbob_ela_as_2d_classify (3) |
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mabbob_ela_as_5d_classify (2) |
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mabbob_ela_as_2d_regression_DifferentialEvolution (1) |
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mabbob_ela_as_2d_regression_modde (1) |
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mabbob_ela_as_5d_regression_DifferentialEvolution (1) |
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mabbob_ela_as_5d_regression_modde (1) |
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Diabetes(scikit-learn) (19) |
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mfeat-factors (1) |
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mfeat-fourier (1) |
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waveform-5000 (1) |
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fourclass_scale (1) |
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cpu_act (1) |
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diabetes_numeric (1) |
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letter (1) |
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nomao (1) |
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adult (2) |
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anneal (234) |
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anneal (236) |
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anneal (235) |
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anneal (240) |
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anneal (241) |
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anneal (238) |
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Diabetes(scikit-learn) (21) |
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Weather (41) |
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XOR (42) |
0.52578342306321 |
XOR (41) |
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anneal (239) |
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test (5) |
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test (11) |
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test (6) |
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test (12) |
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mfeat-morphological (1) |
630.90708251402 |
car (1) |
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cmc (1) |
5.292896809079 |
credit-a (1) |
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segment (1) |
25.314714480981 |
tic-tac-toe (1) |
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vehicle (1) |
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abalone (1) |
0.17461838890743 |
eucalyptus (1) |
172.61081562461 |
vowel (2) |
0.69933181094244 |
monks-problems-1 (1) |
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monks-problems-2 (1) |
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monks-problems-3 (1) |
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JapaneseVowels (1) |
1.7055517441172 |
irish (1) |
15.395027387662 |
analcatdata_dmft (1) |
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profb (1) |
5.6498646838843 |
banknote-authentication (1) |
3.7807131392201 |
blood-transfusion-service-center (1) |
374.53454947488 |
phoneme (1) |
1.0000000046167 |
wilt (1) |
61.20547449945 |
dresses-sales (2) |
2.0053640592222 |
LED-display-domain-7digit (1) |
0.45729419529311 |
Australian (3) |
0.50600054128277 |
kin8nm (1) |
0.83398421237163 |
cleveland (1) |
14.945340002774 |
auto_price (1) |
464.01988694305 |
autoMpg (1) |
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delta_elevators (1) |
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fruitfly (1) |
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pbc (1) |
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lowbwt (1) |
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cholesterol (1) |
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autoPrice (1) |
435.09321186691 |
mushroom (1) |
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pendigits (1) |
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sick (1) |
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isolet (1) |
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sylva_agnostic (1) |
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pc1 (1) |
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musk (1) |
85.954811433318 |
first-order-theorem-proving (1) |
0.9916438519188 |
ilpd (1) |
82.431576573696 |
micro-mass (2) |
343176.12890965 |
bolts (1) |
11.832897626532 |
optdigits (1) |
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pc4 (1) |
1837.8290669669 |
mfeat-zernike (1) |
40.125452921755 |
pc3 (1) |
10334.503124329 |
bank-marketing (1) |
489.53786964952 |
MiceProtein (1) |
0.15821417818483 |
test (9) |
0.94731040024829 |
test (15) |
0.94731040024829 |
test (1) |
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test (10) |
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test (14) |
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test (19) |
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test (17) |
0.94731040024829 |
test (21) |
0.94731040024829 |
test (22) |
0.94731040024829 |
test (3) |
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cloud (1) |
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pharynx (1) |
214.96724872587 |
breast-w (1) |
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test (18) |
0.94731040024829 |
test (13) |
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test (16) |
0.94731040024829 |
test (7) |
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test (2) |
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test (8) |
0.94731040024829 |
test (23) |
0.94731040024829 |
test (20) |
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test (4) |
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collins (1) |
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kc2 (1) |
5875.7295879412 |
longley (1) |
15929.849152854 |
kr-vs-kp (1) |
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balance-scale (1) |
1.4153462926807 |
diabetes (1) |
25.733742975452 |
quake (1) |
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iris (1) |
0.94731040024829 |
anneal (1) |
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eeg-eye-state (1) |
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anneal (249) |
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anneal (256) |
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anneal (250) |
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anneal (251) |
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anneal (255) |
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anneal (254) |
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Weather (43) |
8.4284428503184 |
XOR (44) |
0.52578342306321 |
XOR (43) |
0.57735026918963 |
Weather (44) |
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anneal (253) |
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Diabetes(scikit-learn) (22) |
7.0517450008347 |