Measure

Quartile2MeansOfNumericAtts

Second quartile (Median) of means among attributes of the numeric type.

Value per dataset

anneal (3) 21.222160356347
anneal (4) 21.222160356347
iris-challenge (1) 3.4063333333333
anneal (6) 21.222160356347
iris (2) 3.4063333333333
anneal (7) 21.222160356347
web_questionsQA (1)
anneal (5) 21.222160356347
anneal (2) 21.222160356347
anneal (17) 21.222160356347
anneal (16) 21.222160356347
anneal (8) 21.222160356347
anneal (9) 21.222160356347
anneal (10) 21.222160356347
anneal (12) 21.222160356347
anneal (11) 21.222160356347
anneal (13) 21.222160356347
TEST0f75339a9c-XOR (1) 0.5
anneal (18) 21.222160356347
anneal (14) 21.222160356347
anneal (21) 21.222160356347
anneal (20) 21.222160356347
anneal (23) 21.222160356347
TEST93718efcb7-XOR (1) 0.5
TEST491e2d1fcf-ModifiedWeather (1) 77.607142857143
TEST8a3eef08ba-pandas_testing_dataset (3)
TEST8a3eef08ba-pandas_testing_dataset (2) 0.5
TEST95354eb682-XOR (1) 0.5
TESTde76aea5ac-pandas_testing_dataset (3)
TESTf996380d59-pandas_testing_dataset (4) 1.2
TESTc12a586b90-pandas_testing_dataset (1) 1.7
TEST8a3eef08ba-pandas_testing_dataset (1) 82.3
TESTef4d31c89e-ModifiedWeather (1) 77.607142857143
TESTf996380d59-pandas_testing_dataset (2) 1.7
TEST68ee912c72-XOR (1) 0.5
TESTde76aea5ac-pandas_testing_dataset (2) 0.5
TESTf996380d59-pandas_testing_dataset (1) 1.7
anneal (25) 21.222160356347
TESTc12a586b90-pandas_testing_dataset (3) 0.4
TESTc12a586b90-pandas_testing_dataset (2) 1.7
TESTb07cf9b053-XOR (1) 0.5
anneal (32) 21.222160356347
anneal (28) 21.222160356347
anneal (22) 21.222160356347
anneal (35) 21.222160356347
anneal (27) 21.222160356347
anneal (30) 21.222160356347
anneal (26) 21.222160356347
Diabetes(scikit-learn) (1) -1.2559083988972E-18
anneal (29) 21.222160356347
anneal (31) 21.222160356347
anneal (37) 21.222160356347
Weather (1) 77.607142857143
TESTf996380d59-pandas_testing_dataset (3) 0.4
XOR (2) 0.5
TESTc12a586b90-pandas_testing_dataset (4) 1.2
soybean (1)
XOR (1) 0.5
anneal (33) 21.222160356347
Weather (2) 77.607142857143
anneal (24) 21.222160356347
anneal (41) 21.222160356347
mfeat-karhunen (1) 0.0044830878174998
anneal (38) 21.222160356347
anneal (50) 21.222160356347
TESTfeb0eb848e-pandas_testing_dataset (3)
anneal (40) 21.222160356347
TESTa675afdd91-pandas_testing_dataset (3)
anneal (49) 21.222160356347
anneal (46) 21.222160356347
anneal (53) 21.222160356347
anneal (47) 21.222160356347
Weather (3) 77.607142857143
XOR (3) 0.5
XOR (4) 0.5
anneal (42) 21.222160356347
anneal (48) 21.222160356347
anneal (51) 21.222160356347
anneal (55) 21.222160356347
XOR (6) 0.5
Weather (4) 77.607142857143
Weather (6) 77.607142857143
Weather (5) 77.607142857143
TESTe4a276b0cf-pandas_testing_dataset (3) 0.4
anneal (68) 21.222160356347
Diabetes(scikit-learn) (2) -1.2559083988972E-18
TEST08cae6fca0-XOR (1) 0.5
XOR (5) 0.5
TESTb327ca7de9-XOR (1) 0.5
TESTe551bfc9c4-XOR (1) 0.5
anneal (57) 21.222160356347
TEST9b725c857e-pandas_testing_dataset (2) 0.5
anneal (58) 21.222160356347
TESTd5d5774b51-XOR (1) 0.5
anneal (69) 21.222160356347
TESTde76aea5ac-pandas_testing_dataset (1) 82.3
TEST5f593a2b6b-pandas_testing_dataset (1) 82.3
TESTb075985133-pandas_testing_dataset (1) 1.7
TEST9a3df79c6a-pandas_testing_dataset (1) 82.3
TESTb1b7df6256-XOR (1) 0.5
TEST9b725c857e-pandas_testing_dataset (1) 82.3
anneal (73) 5.913225
TEST3af90fc5e8-pandas_testing_dataset (1) 1.7
TEST930682397f-pandas_testing_dataset (4) 1.2
TESTec5422582f-XOR (1) 0.5
TESTbfaff51e7c-XOR (1) 0.5
TESTc8d3dcd16c-ModifiedWeather (1) 77.607142857143
vineyard (1) 9.6538461538462
anneal (56) 21.222160356347
TEST8451297d53-UploadTestWithURL (1) 3.4063333333333
TEST9b725c857e-pandas_testing_dataset (3)
Diabetes(scikit-learn) (3) -1.2559083988972E-18
TEST541c23ce86-UploadTestWithURL (1) 3.4063333333333
TEST9bde17c085-pandas_testing_dataset (2) 0.5
anneal (60) 21.222160356347
anneal (70) 21.222160356347
TESTb7b2b01540-XOR (1) 0.5
anneal (61) 21.222160356347
anneal (64) 21.222160356347
anneal (71) 5.913225
TEST3312f9ab08-XOR (1) 0.5
TEST9a3df79c6a-pandas_testing_dataset (3)
TEST930682397f-pandas_testing_dataset (2) 1.7
TEST9a3df79c6a-pandas_testing_dataset (2) 0.5
TEST03c86d3a28-ModifiedWeather (1) 77.607142857143
anneal (72) 21.222160356347
TEST4e3eedc7d2-pandas_testing_dataset (2) 0.5
TEST324d7cf258-ModifiedWeather (1) 77.607142857143
TEST35417de77f-XOR (1) 0.5
TEST3af90fc5e8-pandas_testing_dataset (4) 1.2
TESTb075985133-pandas_testing_dataset (2) 1.7
TESTa759ae6cbf-pandas_testing_dataset (2) 1.7
TESTa759ae6cbf-pandas_testing_dataset (4) 1.2
TEST3fc0c0bd1b-XOR (1) 0.5
credit-g (1) 2.973
TEST43ba10d105-pandas_testing_dataset (4) 1.2
TEST930682397f-pandas_testing_dataset (3) 0.4
anneal (65) 21.222160356347
TESTa759ae6cbf-pandas_testing_dataset (1) 1.7
TEST9bde17c085-pandas_testing_dataset (1) 82.3
TEST0c357fa5de-XOR (1) 0.5
TEST6ca67e6faa-ModifiedWeather (1) 77.607142857143
anneal (79) 21.222160356347
TESTe4a276b0cf-pandas_testing_dataset (4) 1.2
TEST48f3ec321a-pandas_testing_dataset (1) 82.3
TESTb075985133-pandas_testing_dataset (3) 0.4
TEST9bde17c085-pandas_testing_dataset (3)
XOR (7) 0.5
TEST930682397f-pandas_testing_dataset (1) 1.7
TEST4e3eedc7d2-pandas_testing_dataset (1) 82.3
TEST3af90fc5e8-pandas_testing_dataset (3) 0.4
TEST5861a96af9-UploadTestWithURL (1) 3.4063333333333
anneal (39) 21.222160356347
Weather (7) 77.607142857143
anneal (43) 21.222160356347
anneal (63) 21.222160356347
TEST4e3eedc7d2-pandas_testing_dataset (3)
anneal (62) 21.222160356347
anneal (76) 21.222160356347
anneal (81) 21.222160356347
anneal (74) 21.222160356347
TESTa759ae6cbf-pandas_testing_dataset (3) 0.4
TEST67f486525d-XOR (1) 0.5
anneal (78) 21.222160356347
TESTb075985133-pandas_testing_dataset (4) 1.2
anneal (82) 21.222160356347
Weather (8) 77.607142857143
anneal (75) 21.222160356347
anneal (77) 21.222160356347
anneal (83) 21.222160356347
Diabetes(scikit-learn) (4) -1.2559083988972E-18
TEST3af90fc5e8-pandas_testing_dataset (2) 1.7
XOR (8) 0.5
TEST3556189ac9-UploadTestWithURL (1) 3.4063333333333
anneal (66) 21.222160356347
anneal (86) 21.222160356347
anneal (90) 21.222160356347
anneal (85) 21.222160356347
Weather (10) 77.607142857143
Diabetes(scikit-learn) (5) -1.2559083988972E-18
XOR (9) 0.5
anneal (84) 21.222160356347
TESTaae5145e5a-pandas_testing_dataset (1) 1.7
anneal (95) 21.222160356347
Weather (9) 77.607142857143
TEST659b6910a4-ModifiedWeather (1) 77.607142857143
anneal (100) 21.222160356347
anneal (97) 21.222160356347
anneal (92) 21.222160356347
Weather (12) 77.607142857143
TESTaae5145e5a-pandas_testing_dataset (2) 1.7
TEST4f5a60c6fe-XOR (1) 0.5
XOR (11) 0.5
Weather (11) 77.607142857143
TESTaae5145e5a-pandas_testing_dataset (4) 1.2
XOR (10) 0.5
mfeat-pixel (1)
anneal (103) 21.222160356347
Diabetes(scikit-learn) (6) -1.2559083988972E-18
anneal (89) 21.222160356347
TESTd595e0f71b-pandas_testing_dataset (3)
anneal (101) 21.222160356347
anneal (104) 21.222160356347
anneal (107) 21.222160356347
TEST41e4ee3472-pandas_testing_dataset (4) 1.2
TEST41e4ee3472-pandas_testing_dataset (3) 0.4
hill-valley (1) 8169.5332425743
TEST0cc3a4aabf-pandas_testing_dataset (1) 82.3
TEST7385da85d0-XOR (1) 0.5
TEST107d885b90-pandas_testing_dataset (3)
TESTd595e0f71b-pandas_testing_dataset (2) 0.5
anneal (112) 21.222160356347
TESTe5ab921db9-pandas_testing_dataset (3)
anneal (93) 21.222160356347
TESTa70326ee04-pandas_testing_dataset (3) 0.4
anneal (115) 21.222160356347
TEST5087cf3992-pandas_testing_dataset (3) 0.4
TESTde22fbf900-ModifiedWeather (1) 77.607142857143
TEST300949fc4c-XOR (1) 0.5
TESTe5ab921db9-pandas_testing_dataset (2) 0.5
TESTd43f0f6683-pandas_testing_dataset (3) 0.4
TESTd43f0f6683-pandas_testing_dataset (1) 1.7
anneal (110) 21.222160356347
anneal (124) 21.222160356347
TESTe7d3072a9e-pandas_testing_dataset (3)
TESTba904bcd9a-ModifiedWeather (1) 77.607142857143
TEST31791bfdd8-pandas_testing_dataset (1) 82.3
TEST5c956d87a7-XOR (1) 0.5
TESTd595e0f71b-pandas_testing_dataset (1) 82.3
TESTd43f0f6683-pandas_testing_dataset (2) 1.7
TEST5087cf3992-pandas_testing_dataset (1) 1.7
anneal (113) 21.222160356347
TESTa70326ee04-pandas_testing_dataset (4) 1.2
anneal (99) 21.222160356347
anneal (88) 21.222160356347
TEST06657cce0d-ModifiedWeather (1) 77.607142857143
TESTe7d3072a9e-pandas_testing_dataset (2) 0.5
TEST9c5326e45b-UploadTestWithURL (1) 3.4063333333333
anneal (122) 21.222160356347
TEST393d571ed9-XOR (1) 0.5
anneal (119) 21.222160356347
anneal (117) 5.913225
TESTba19613b26-ModifiedWeather (1) 77.607142857143
TESTd43f0f6683-pandas_testing_dataset (4) 1.2
TEST107d885b90-pandas_testing_dataset (1) 82.3
TESTe7d3072a9e-pandas_testing_dataset (1) 82.3
TEST5087cf3992-pandas_testing_dataset (4) 1.2
XOR (13) 0.5
TESTf267503cca-XOR (1) 0.5
XOR (15) 0.5
anneal (111) 21.222160356347
Diabetes(scikit-learn) (8) -1.2559083988972E-18
anneal (125) 21.222160356347
TESTa70326ee04-pandas_testing_dataset (2) 1.7
anneal (114) 21.222160356347
TEST534813403d-XOR (1) 0.5
Weather (16) 77.607142857143
TEST104cefcf93-XOR (1) 0.5
TESTd2ce00f39d-UploadTestWithURL (1) 3.4063333333333
TEST44ce59e507-UploadTestWithURL (1) 3.4063333333333
TEST41e4ee3472-pandas_testing_dataset (1) 1.7
Weather (15) 77.607142857143
TEST107d885b90-pandas_testing_dataset (2) 0.5
anneal (134) 21.222160356347
TEST69f067a100-pandas_testing_dataset (3)
TEST6be6740770-XOR (1) 0.5
TEST13f574f33c-ModifiedWeather (1) 77.607142857143
TEST8082298a9f-pandas_testing_dataset (2) 1.7
anneal (127) 21.222160356347
anneal (128) 21.222160356347
TEST8b50f94dd0-pandas_testing_dataset (1) 82.3
TEST35c4267650-XOR (1) 0.5
TESTe5ab921db9-pandas_testing_dataset (1) 82.3
TEST0b00a7fd2f-XOR (1) 0.5
TEST0380554bf7-pandas_testing_dataset (2) 1.7
TEST8b50f94dd0-pandas_testing_dataset (2) 0.5
Diabetes(scikit-learn) (10) -1.2559083988972E-18
TEST68e83a7f94-pandas_testing_dataset (3)
TESTf835401612-pandas_testing_dataset (3)
TESTaeab31689e-UploadTestWithURL (1) 3.4063333333333
anneal (108) 21.222160356347
TEST6f4f5ea7ed-ModifiedWeather (1) 77.607142857143
anneal (141) 21.222160356347
TESTf8293d7a08-pandas_testing_dataset (2) 0.5
anneal (131) 21.222160356347
anneal (121) 21.222160356347
anneal (129) 21.222160356347
anneal (133) 21.222160356347
XOR (12) 0.5
TESTb9afa86415-pandas_testing_dataset (3) 0.4
TEST8082298a9f-pandas_testing_dataset (1) 1.7
anneal (142) 21.222160356347
TEST5087cf3992-pandas_testing_dataset (2) 1.7
anneal (143) 21.222160356347
Weather (19) 77.607142857143
TESTed97a7a3c7-ModifiedWeather (1) 77.607142857143
XOR (17) 0.5
TESTc04561a900-XOR (1) 0.5
one-hundred-plants-shape (1) 0.000584411875
TEST41e4ee3472-pandas_testing_dataset (2) 1.7
TESTf835401612-pandas_testing_dataset (2) 0.5
TEST65d4158d00-pandas_testing_dataset (1) 1.7
Bioresponse (1) 0.01999466808851
TEST69f067a100-pandas_testing_dataset (1) 82.3
TEST0d33c33299-XOR (1) 0.5
anneal (146) 21.222160356347
anneal (145) 21.222160356347
cjs (3) 2.9905882352941
anneal (105) 21.222160356347
TESTa7f4a278b1-pandas_testing_dataset (1) 1.7
XOR (19) 0.5
TEST65d4158d00-pandas_testing_dataset (3) 0.4
anneal (138) 21.222160356347
anneal (151) 21.222160356347
Diabetes(scikit-learn) (11) -1.2559083988972E-18
TESTb9afa86415-pandas_testing_dataset (1) 1.7
TEST69f067a100-pandas_testing_dataset (2) 0.5
TEST65d4158d00-pandas_testing_dataset (2) 1.7
TESTe31c18ad94-XOR (1) 0.5
TEST8082298a9f-pandas_testing_dataset (3) 0.4
TESTa7f4a278b1-pandas_testing_dataset (4) 1.2
TESTa7f4a278b1-pandas_testing_dataset (2) 1.7
TEST0380554bf7-pandas_testing_dataset (1) 1.7
TEST7a1e9bfee8-UploadTestWithURL (1) 3.4063333333333
XOR (21) 0.5
anneal (120) 21.222160356347
anneal (130) 21.222160356347
TEST5f324b2a59-pandas_testing_dataset (3)
TESTa70326ee04-pandas_testing_dataset (1) 1.7
XOR (14) 0.5
TEST0032b11fc5-XOR (1) 0.5
anneal (140) 21.222160356347
anneal (102) 21.222160356347
anneal (136) 21.222160356347
anneal (139) 21.222160356347
TEST0817090897-pandas_testing_dataset (3)
TEST8082298a9f-pandas_testing_dataset (4) 1.2
TESTad4e03ac11-XOR (1) 0.5
TEST0817090897-pandas_testing_dataset (2) 0.5
TEST2abc4a67a5-XOR (1) 0.5
anneal (149) 21.222160356347
TEST11a33fb394-ModifiedWeather (1) 77.607142857143
Weather (23) 77.607142857143
anneal (159) 21.222160356347
anneal (157) 21.222160356347
anneal (126) 21.222160356347
TEST0817090897-pandas_testing_dataset (1) 82.3
TEST0380554bf7-pandas_testing_dataset (4) 1.2
TEST3ee36e8050-XOR (1) 0.5
anneal (137) 21.222160356347
Weather (24) 77.607142857143
anneal (148) 21.222160356347
anneal (94) 21.222160356347
anneal (162) 21.222160356347
TESTaae5145e5a-pandas_testing_dataset (3) 0.4
Weather (21) 77.607142857143
TEST5f324b2a59-pandas_testing_dataset (2) 0.5
TEST2aa7f500a9-pandas_testing_dataset (1) 82.3
TESTf8293d7a08-pandas_testing_dataset (1) 82.3
TEST5f324b2a59-pandas_testing_dataset (1) 82.3
TESTb9afa86415-pandas_testing_dataset (4) 1.2
TEST0380554bf7-pandas_testing_dataset (3) 0.4
anneal (156) 21.222160356347
anneal (135) 21.222160356347
anneal (150) 21.222160356347
anneal (116) 5.913225
XOR (22) 0.5
TESTf8293d7a08-pandas_testing_dataset (3)
TESTa7f4a278b1-pandas_testing_dataset (3) 0.4
TEST2c8d16b5fc-XOR (1) 0.5
XOR (16) 0.5
TEST468d7bc5fb-UploadTestWithURL (1) 3.4063333333333
anneal (160) 21.222160356347
anneal (153) 21.222160356347
anneal (147) 5.913225
Weather (14) 77.607142857143
Weather (17) 77.607142857143
Weather (13) 77.607142857143
TEST8b50f94dd0-pandas_testing_dataset (3)
XOR (24) 0.5
XOR (18) 0.5
XOR (20) 0.5
anneal (144) 21.222160356347
anneal (154) 21.222160356347
TEST65d4158d00-pandas_testing_dataset (4) 1.2
Weather (18) 77.607142857143
Weather (20) 77.607142857143
TEST5495fa0b29-ModifiedWeather (1) 77.607142857143
TESTf835401612-pandas_testing_dataset (1) 82.3
Diabetes(scikit-learn) (7) -1.2559083988972E-18
Diabetes(scikit-learn) (9) -1.2559083988972E-18
Diabetes(scikit-learn) (12) -1.2559083988972E-18
TESTe58a794a8e-XOR (1) 0.5
XOR (23) 0.5
anneal (158) 21.222160356347
anneal (118) 21.222160356347
anneal (109) 21.222160356347
anneal (155) 21.222160356347
anneal (164) 21.222160356347
Weather (22) 77.607142857143
TESTb9afa86415-pandas_testing_dataset (2) 1.7
semeion (1) 0.32485875706215
synthetic_control (1) 30.088384741667
gina_agnostic (1) 46.794982698962
MagicTelescope (1) 6.6852808885384
one-hundred-plants-texture (1) 0.015445169480926
spambase (1) 0.10285155401
cnae-9 (1) 0.0018518518518519
har (1) -0.66028433449849
cylinder-bands (2) 32.837314400571
anneal (67) 21.222160356347
anneal (165) 21.222160356347
anneal (166) 21.222160356347
anneal (170) 21.222160356347
anneal (171) 21.222160356347
Weather (25) 77.607142857143
XOR (26) 0.5
Weather (26) 77.607142857143
anneal (169) 21.222160356347
anneal (167) 21.222160356347
anneal (172) 21.222160356347
Diabetes(scikit-learn) (13) -1.2559083988972E-18
XOR (25) 0.5
analcatdata_authorship (1) 5.0309155766944
climate-model-simulation-crashes (1) 0.50003784351852
wdbc (1) 0.21771345342707
Amazon_employee_access (1)
GesturePhaseSegmentationProcessed (1) 1.2317544312772E-5
pol (1) 0.941
steel-plates-fault (1) 0.61052864502834
triazines (1) 0.17738172043011
cardiotocography (1) 3.6599247412982
PhishingWebsites (1)
satimage (1) -0.00059809346811814
ada_agnostic (1) 0.093818500657606
anneal (177) 21.222160356347
anneal (183) 21.222160356347
anneal (174) 21.222160356347
Weather (29) 77.607142857143
Diabetes(scikit-learn) (15) -1.2559083988972E-18
Weather (28) 77.607142857143
anneal (189) 21.222160356347
Diabetes(scikit-learn) (14) -1.2559083988972E-18
anneal (175) 21.222160356347
Weather (27) 77.607142857143
anneal (186) 21.222160356347
anneal (187) 21.222160356347
anneal (179) 21.222160356347
anneal (178) 21.222160356347
XOR (28) 0.5
XOR (30) 0.5
XOR (27) 0.5
anneal (182) 21.222160356347
anneal (173) 21.222160356347
anneal (184) 21.222160356347
anneal (188) 21.222160356347
anneal (181) 21.222160356347
Weather (30) 77.607142857143
XOR (29) 0.5
scene (1) 0.26632103676776
qsar-biodeg (1) 1.1311061611374
texture (1) -0.580428
Click_prediction_small (5) 35194.431360769
ozone-level-8hr (1) 4.8158629940805
jm1 (1) 14.177237482775
wall-robot-navigation (1) 2.1581315065982
anneal (192) 21.222160356347
gas-drift (1) 5.3689675173616
madelon (1) 485.00653846154
UNIX_user_data (1) 885.17406593408
mbagrade (1) 289.02224590164
wisconsin (1) 0.36456731958763
sleep (1) 15.205172413793
mozilla4 (1) 2097.5735606307
tamilnadu-electricity (1) 0.50031097663878
kc1 (1) 7.6316737790422
splice (1)
artificial-characters (1) 15.246036406342
electricity (1) 0.42541789525953
one-hundred-plants-margin (1) 0.0150664865625
anneal (202) 21.222160356347
Weather (36) 77.607142857143
anneal (190) 21.222160356347
XOR (31) 0.5
anneal (193) 21.222160356347
anneal (211) 21.222160356347
anneal (201) 21.222160356347
anneal (204) 21.222160356347
Weather (34) 77.607142857143
Diabetes(scikit-learn) (16) -1.2559083988972E-18
XOR (33) 0.5
anneal (206) 21.222160356347
anneal (209) 21.222160356347
anneal (212) 21.222160356347
anneal (216) 21.222160356347
XOR (32) 0.5
Weather (35) 77.607142857143
Weather (32) 77.607142857143
Diabetes(scikit-learn) (17) -1.2559083988972E-18
XOR (34) 0.5
XOR (36) 0.5
anneal (199) 21.222160356347
Weather (33) 77.607142857143
anneal (191) 21.222160356347
anneal (198) 21.222160356347
anneal (196) 21.222160356347
anneal (197) 21.222160356347
Diabetes(scikit-learn) (18) -1.2559083988972E-18
XOR (35) 0.5
detroit (1) 245.14038461538
anneal (194) 21.222160356347
anneal (226) 21.222160356347
XOR (38) 0.5
Weather (39) 77.607142857143
XOR (40) 0.5
XOR (39) 0.5
Diabetes(scikit-learn) (20) -1.2559083988972E-18
anneal (227) 21.222160356347
anneal (217) 21.222160356347
anneal (220) 21.222160356347
anneal (231) 21.222160356347
anneal (222) 21.222160356347
anneal (205) 21.222160356347
anneal (224) 21.222160356347
anneal (233) 21.222160356347
Weather (31) 77.607142857143
anneal (210) 21.222160356347
anneal (214) 21.222160356347
anneal (229) 21.222160356347
anneal (218) 21.222160356347
anneal (232) 21.222160356347
anneal (228) 21.222160356347
XOR (37) 0.5
Weather (37) 77.607142857143
Weather (38) 77.607142857143
Weather (40) 77.607142857143
mabbob_ela_as_2d_regression_DiagonalCMA (1) 0.38595403334353
anneal (200) 21.222160356347
anneal (219) 21.222160356347
mabbob_ela_as_2d_regression_RCobyla (1) 0.36327959684917
mabbob_ela_as_5d_classify (1) 0.56665111670253
mabbob_ela_as_2d_classify (2) 0.35067554003063
mabbob_ela_as_2d_regression_modcma (1) 0.38595403334353
mabbob_ela_as_5d_regression_DiagonalCMA (1) 0.56601351836527
mabbob_ela_as_5d_regression_RCobyla (1) 0.53998991070003
mabbob_ela_as_5d_regression_modcma (1) 0.60183666626613
anneal (223) 21.222160356347
mabbob_ela_as_2d_classify (1) 0.35067554003063
mabbob_ela_as_2d_classify (3) 0.35067554003063
mabbob_ela_as_5d_classify (2) 0.56665111670253
mabbob_ela_as_2d_regression_DifferentialEvolution (1) 0.38595403334353
mabbob_ela_as_2d_regression_modde (1) 0.38595403334353
mabbob_ela_as_5d_regression_DifferentialEvolution (1) 0.53998991070003
mabbob_ela_as_5d_regression_modde (1) 0.53998991070003
Diabetes(scikit-learn) (19) -1.2559083988972E-18
mfeat-factors (1) 146.47975
mfeat-fourier (1) 0.1064998764125
waveform-5000 (1) 0.031811
fourclass_scale (1) 0.0053323665893272
cpu_act (1) 20.578762817383
diabetes_numeric (1) 4.746511627907
letter (1) 5.913225
nomao (1) 0.80968901439141
adult (2) 63.962347979198
anneal (234) 21.222160356347
anneal (236) 21.222160356347
anneal (235) 21.222160356347
anneal (240) 21.222160356347
anneal (241) 21.222160356347
anneal (238) 21.222160356347
Diabetes(scikit-learn) (21) -1.2559083988972E-18
Weather (41) 77.607142857143
Weather (42) 77.607142857143
XOR (42) 0.5
XOR (41) 0.5
anneal (239) 21.222160356347
test (5) 3.4063333333333
test (11) 3.4063333333333
test (6) 3.4063333333333
test (12) 3.4063333333333
mfeat-morphological (1) 1.686534392555
car (1)
cmc (1) 17.899864222675
credit-a (1) 18.163447864563
segment (1) 8.2436922506858
tic-tac-toe (1)
vehicle (1) 87.883569739953
abalone (1) 0.3593674886282
eucalyptus (1) 6.2496026170588
vowel (2) -0.03785202020202
monks-problems-1 (1)
monks-problems-2 (1)
monks-problems-3 (1)
JapaneseVowels (1) -0.035201366077703
irish (1) 69.543299578059
analcatdata_dmft (1)
profb (1) 16.857142857143
banknote-authentication (1) 0.91568118695335
blood-transfusion-service-center (1) 21.894385026738
phoneme (1) 3.3308660617082E-9
wilt (1) 126.85554692643
dresses-sales (2) 3.5286
LED-display-domain-7digit (1) 0.67
Australian (3) -0.18913043478261
kin8nm (1) 0.0078856043461402
cleveland (1) 54.438943894389
auto_price (1) 95.836477987421
autoMpg (1) 104.4693877551
delta_elevators (1) -0.00019649049070084
fruitfly (1) 23.464
pbc (1) 122.55634615385
lowbwt (1) 129.81481481481
cholesterol (1) 54.438943894389
autoPrice (1) 80.722012578616
mushroom (1)
pendigits (1) 48.528930131004
sick (1) 28.411322582957
isolet (1) 0.202268949596
sylva_agnostic (1) 0.022820423758249
pc1 (1) 15.396266907124
musk (1) -54.406107911489
first-order-theorem-proving (1) -0.0024692322654467
ilpd (1) 6.4831903945111
micro-mass (2) 13117.016397937
bolts (1) 7
optdigits (1) 4.5655693950178
pc4 (1) 6.997256515775
mfeat-zernike (1) 69.881896744535
pc3 (1) 7.6378758797185
bank-marketing (1) 40.197827962216
MiceProtein (1) 0.37851854251532
test (9) 3.4063333333333
test (15) 3.4063333333333
test (1) 3.4063333333333
test (10) 3.4063333333333
test (14) 3.4063333333333
test (19) 3.4063333333333
test (17) 3.4063333333333
test (21) 3.4063333333333
test (22) 3.4063333333333
test (3) 3.4063333333333
cloud (1) 1.3694907407407
pharynx (1) 309.58205128205
breast-w (1) 3.2074391988555
test (18) 3.4063333333333
test (13) 3.4063333333333
test (16) 3.4063333333333
test (7) 3.4063333333333
test (2) 3.4063333333333
test (8) 3.4063333333333
test (23) 3.4063333333333
test (20) 3.4063333333333
test (4) 3.4063333333333
collins (1) 1.32206
kc2 (1) 9.7352873563218
longley (1) 3193.3125
kr-vs-kp (1)
balance-scale (1) 3
diabetes (1) 32.616731770833
quake (1) 31.438415977961
iris (1) 3.4063333333333
anneal (1) 21.222160356347
eeg-eye-state (1) 4271.6276034713
anneal (249) 21.222160356347
anneal (256) 21.222160356347
anneal (250) 21.222160356347
anneal (251) 21.222160356347
anneal (255) 21.222160356347
anneal (254) 21.222160356347
Weather (43) 77.607142857143
XOR (44) 0.5
XOR (43) 0.5
Weather (44) 77.607142857143
anneal (253) 21.222160356347
Diabetes(scikit-learn) (22) -1.2559083988972E-18