Measure

MeanMeansOfNumericAtts

Mean of means among attributes of the numeric type.

Value per dataset

anneal (3) 348.50426818857
anneal (4) 348.50426818857
iris-challenge (1) 3.4636666666667
anneal (6) 348.50426818857
iris (2) 3.4636666666667
anneal (7) 348.50426818857
web_questionsQA (1)
anneal (5) 348.50426818857
anneal (2) 348.50426818857
anneal (17) 348.50426818857
anneal (16) 348.50426818857
anneal (8) 348.50426818857
anneal (9) 348.50426818857
anneal (10) 348.50426818857
anneal (12) 348.50426818857
anneal (11) 348.50426818857
anneal (13) 348.50426818857
TEST0f75339a9c-XOR (1) 0.5
anneal (18) 348.50426818857
anneal (14) 348.50426818857
anneal (21) 348.50426818857
anneal (20) 348.50426818857
anneal (23) 348.50426818857
TEST93718efcb7-XOR (1) 0.5
TEST491e2d1fcf-ModifiedWeather (1) 77.607142857143
TEST8a3eef08ba-pandas_testing_dataset (3)
TEST8a3eef08ba-pandas_testing_dataset (2) 0.58333333333333
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) 0.58333333333333
TESTf996380d59-pandas_testing_dataset (1) 1.7
anneal (25) 348.50426818857
TESTc12a586b90-pandas_testing_dataset (3) 0.4
TESTc12a586b90-pandas_testing_dataset (2) 1.7
TESTb07cf9b053-XOR (1) 0.5
anneal (32) 348.50426818857
anneal (28) 348.50426818857
anneal (22) 348.50426818857
anneal (35) 348.50426818857
anneal (27) 348.50426818857
anneal (30) 348.50426818857
anneal (26) 348.50426818857
Diabetes(scikit-learn) (1) 13.830316742081
anneal (29) 348.50426818857
anneal (31) 348.50426818857
anneal (37) 348.50426818857
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) 348.50426818857
Weather (2) 77.607142857143
anneal (24) 348.50426818857
anneal (41) 348.50426818857
mfeat-karhunen (1) 0.053084739246641
anneal (38) 348.50426818857
anneal (50) 348.50426818857
TESTfeb0eb848e-pandas_testing_dataset (3)
anneal (40) 348.50426818857
TESTa675afdd91-pandas_testing_dataset (3)
anneal (49) 348.50426818857
anneal (46) 348.50426818857
anneal (53) 348.50426818857
anneal (47) 348.50426818857
Weather (3) 77.607142857143
XOR (3) 0.5
XOR (4) 0.5
anneal (42) 348.50426818857
anneal (48) 348.50426818857
anneal (51) 348.50426818857
anneal (55) 348.50426818857
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) 348.50426818857
Diabetes(scikit-learn) (2) 13.830316742081
TEST08cae6fca0-XOR (1) 0.5
XOR (5) 0.5
TESTb327ca7de9-XOR (1) 0.5
TESTe551bfc9c4-XOR (1) 0.5
anneal (57) 348.50426818857
TEST9b725c857e-pandas_testing_dataset (2) 0.58333333333333
anneal (58) 348.50426818857
TESTd5d5774b51-XOR (1) 0.5
anneal (69) 348.50426818857
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) 5.925465625
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) 10.339743589744
anneal (56) 348.50426818857
TEST8451297d53-UploadTestWithURL (1) 3.4636666666667
TEST9b725c857e-pandas_testing_dataset (3)
Diabetes(scikit-learn) (3) 13.830316742081
TEST541c23ce86-UploadTestWithURL (1) 3.4636666666667
TEST9bde17c085-pandas_testing_dataset (2) 0.58333333333333
anneal (60) 348.50426818857
anneal (70) 348.50426818857
TESTb7b2b01540-XOR (1) 0.5
anneal (61) 348.50426818857
anneal (64) 348.50426818857
anneal (71) 5.925465625
TEST3312f9ab08-XOR (1) 0.5
TEST9a3df79c6a-pandas_testing_dataset (3)
TEST930682397f-pandas_testing_dataset (2) 1.7
TEST9a3df79c6a-pandas_testing_dataset (2) 0.58333333333333
TEST03c86d3a28-ModifiedWeather (1) 77.607142857143
anneal (72) 348.50426818857
TEST4e3eedc7d2-pandas_testing_dataset (2) 0.58333333333333
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) 476.58385714286
TEST43ba10d105-pandas_testing_dataset (4) 1.2
TEST930682397f-pandas_testing_dataset (3) 0.4
anneal (65) 348.50426818857
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) 348.50426818857
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) 3.4636666666667
anneal (39) 348.50426818857
Weather (7) 77.607142857143
anneal (43) 348.50426818857
anneal (63) 348.50426818857
TEST4e3eedc7d2-pandas_testing_dataset (3)
anneal (62) 348.50426818857
anneal (76) 348.50426818857
anneal (81) 348.50426818857
anneal (74) 348.50426818857
TESTa759ae6cbf-pandas_testing_dataset (3) 0.4
TEST67f486525d-XOR (1) 0.5
anneal (78) 348.50426818857
TESTb075985133-pandas_testing_dataset (4) 1.2
anneal (82) 348.50426818857
Weather (8) 77.607142857143
anneal (75) 348.50426818857
anneal (77) 348.50426818857
anneal (83) 348.50426818857
Diabetes(scikit-learn) (4) 13.830316742081
TEST3af90fc5e8-pandas_testing_dataset (2) 1.7
XOR (8) 0.5
TEST3556189ac9-UploadTestWithURL (1) 3.4636666666667
anneal (66) 348.50426818857
anneal (86) 348.50426818857
anneal (90) 348.50426818857
anneal (85) 348.50426818857
Weather (10) 77.607142857143
Diabetes(scikit-learn) (5) 13.830316742081
XOR (9) 0.5
anneal (84) 348.50426818857
TESTaae5145e5a-pandas_testing_dataset (1) 1.7
anneal (95) 348.50426818857
Weather (9) 77.607142857143
TEST659b6910a4-ModifiedWeather (1) 77.607142857143
anneal (100) 348.50426818857
anneal (97) 348.50426818857
anneal (92) 348.50426818857
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) 348.50426818857
Diabetes(scikit-learn) (6) 13.830316742081
anneal (89) 348.50426818857
TESTd595e0f71b-pandas_testing_dataset (3)
anneal (101) 348.50426818857
anneal (104) 348.50426818857
anneal (107) 348.50426818857
TEST41e4ee3472-pandas_testing_dataset (4) 1.2
TEST41e4ee3472-pandas_testing_dataset (3) 0.4
hill-valley (1) 8174.0512075908
TEST0cc3a4aabf-pandas_testing_dataset (1) 82.3
TEST7385da85d0-XOR (1) 0.5
TEST107d885b90-pandas_testing_dataset (3)
TESTd595e0f71b-pandas_testing_dataset (2) 0.58333333333333
anneal (112) 348.50426818857
TESTe5ab921db9-pandas_testing_dataset (3)
anneal (93) 348.50426818857
TESTa70326ee04-pandas_testing_dataset (3) 0.4
anneal (115) 348.50426818857
TEST5087cf3992-pandas_testing_dataset (3) 0.4
TESTde22fbf900-ModifiedWeather (1) 77.607142857143
TEST300949fc4c-XOR (1) 0.5
TESTe5ab921db9-pandas_testing_dataset (2) 0.58333333333333
TESTd43f0f6683-pandas_testing_dataset (3) 0.4
TESTd43f0f6683-pandas_testing_dataset (1) 1.7
anneal (110) 348.50426818857
anneal (124) 348.50426818857
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) 348.50426818857
TESTa70326ee04-pandas_testing_dataset (4) 1.2
anneal (99) 348.50426818857
anneal (88) 348.50426818857
TEST06657cce0d-ModifiedWeather (1) 77.607142857143
TESTe7d3072a9e-pandas_testing_dataset (2) 0.58333333333333
TEST9c5326e45b-UploadTestWithURL (1) 3.4636666666667
anneal (122) 348.50426818857
TEST393d571ed9-XOR (1) 0.5
anneal (119) 348.50426818857
anneal (117) 5.925465625
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) 348.50426818857
Diabetes(scikit-learn) (8) 13.830316742081
anneal (125) 348.50426818857
TESTa70326ee04-pandas_testing_dataset (2) 1.7
anneal (114) 348.50426818857
TEST534813403d-XOR (1) 0.5
Weather (16) 77.607142857143
TEST104cefcf93-XOR (1) 0.5
TESTd2ce00f39d-UploadTestWithURL (1) 3.4636666666667
TEST44ce59e507-UploadTestWithURL (1) 3.4636666666667
TEST41e4ee3472-pandas_testing_dataset (1) 1.7
Weather (15) 77.607142857143
TEST107d885b90-pandas_testing_dataset (2) 0.58333333333333
anneal (134) 348.50426818857
TEST69f067a100-pandas_testing_dataset (3)
TEST6be6740770-XOR (1) 0.5
TEST13f574f33c-ModifiedWeather (1) 77.607142857143
TEST8082298a9f-pandas_testing_dataset (2) 1.7
anneal (127) 348.50426818857
anneal (128) 348.50426818857
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) 0.58333333333333
Diabetes(scikit-learn) (10) 13.830316742081
TEST68e83a7f94-pandas_testing_dataset (3)
TESTf835401612-pandas_testing_dataset (3)
TESTaeab31689e-UploadTestWithURL (1) 3.4636666666667
anneal (108) 348.50426818857
TEST6f4f5ea7ed-ModifiedWeather (1) 77.607142857143
anneal (141) 348.50426818857
TESTf8293d7a08-pandas_testing_dataset (2) 0.58333333333333
anneal (131) 348.50426818857
anneal (121) 348.50426818857
anneal (129) 348.50426818857
anneal (133) 348.50426818857
XOR (12) 0.5
TESTb9afa86415-pandas_testing_dataset (3) 0.4
TEST8082298a9f-pandas_testing_dataset (1) 1.7
anneal (142) 348.50426818857
TEST5087cf3992-pandas_testing_dataset (2) 1.7
anneal (143) 348.50426818857
Weather (19) 77.607142857143
TESTed97a7a3c7-ModifiedWeather (1) 77.607142857143
XOR (17) 0.5
TESTc04561a900-XOR (1) 0.5
one-hundred-plants-shape (1) 0.00060469328125
TEST41e4ee3472-pandas_testing_dataset (2) 1.7
TESTf835401612-pandas_testing_dataset (2) 0.58333333333333
TEST65d4158d00-pandas_testing_dataset (1) 1.7
Bioresponse (1) 0.087879998405782
TEST69f067a100-pandas_testing_dataset (1) 82.3
TEST0d33c33299-XOR (1) 0.5
anneal (146) 348.50426818857
anneal (145) 348.50426818857
cjs (3) 2.8135288432329
anneal (105) 348.50426818857
TESTa7f4a278b1-pandas_testing_dataset (1) 1.7
XOR (19) 0.5
TEST65d4158d00-pandas_testing_dataset (3) 0.4
anneal (138) 348.50426818857
anneal (151) 348.50426818857
Diabetes(scikit-learn) (11) 13.830316742081
TESTb9afa86415-pandas_testing_dataset (1) 1.7
TEST69f067a100-pandas_testing_dataset (2) 0.58333333333333
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) 3.4636666666667
XOR (21) 0.5
anneal (120) 348.50426818857
anneal (130) 348.50426818857
TEST5f324b2a59-pandas_testing_dataset (3)
TESTa70326ee04-pandas_testing_dataset (1) 1.7
XOR (14) 0.5
TEST0032b11fc5-XOR (1) 0.5
anneal (140) 348.50426818857
anneal (102) 348.50426818857
anneal (136) 348.50426818857
anneal (139) 348.50426818857
TEST0817090897-pandas_testing_dataset (3)
TEST8082298a9f-pandas_testing_dataset (4) 1.2
TESTad4e03ac11-XOR (1) 0.5
TEST0817090897-pandas_testing_dataset (2) 0.58333333333333
TEST2abc4a67a5-XOR (1) 0.5
anneal (149) 348.50426818857
TEST11a33fb394-ModifiedWeather (1) 77.607142857143
Weather (23) 77.607142857143
anneal (159) 348.50426818857
anneal (157) 348.50426818857
anneal (126) 348.50426818857
TEST0817090897-pandas_testing_dataset (1) 82.3
TEST0380554bf7-pandas_testing_dataset (4) 1.2
TEST3ee36e8050-XOR (1) 0.5
anneal (137) 348.50426818857
Weather (24) 77.607142857143
anneal (148) 348.50426818857
anneal (94) 348.50426818857
anneal (162) 348.50426818857
TESTaae5145e5a-pandas_testing_dataset (3) 0.4
Weather (21) 77.607142857143
TEST5f324b2a59-pandas_testing_dataset (2) 0.58333333333333
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) 348.50426818857
anneal (135) 348.50426818857
anneal (150) 348.50426818857
anneal (116) 5.925465625
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) 3.4636666666667
anneal (160) 348.50426818857
anneal (153) 348.50426818857
anneal (147) 5.925465625
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) 348.50426818857
anneal (154) 348.50426818857
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) 13.830316742081
Diabetes(scikit-learn) (9) 13.830316742081
Diabetes(scikit-learn) (12) 13.830316742081
TESTe58a794a8e-XOR (1) 0.5
XOR (23) 0.5
anneal (158) 348.50426818857
anneal (118) 348.50426818857
anneal (109) 348.50426818857
anneal (155) 348.50426818857
anneal (164) 348.50426818857
Weather (22) 77.607142857143
TESTb9afa86415-pandas_testing_dataset (2) 1.7
semeion (1) 0.3286252354049
synthetic_control (1) 30.092165470408
gina_agnostic (1) 53.994961592885
MagicTelescope (1) 30.677838007361
one-hundred-plants-texture (1) 0.015625021996169
spambase (1) 6.1507701910721
cnae-9 (1) 0.0082132658359294
har (1) -0.50862021758511
cylinder-bands (2) 2198.8837376686
anneal (67) 348.50426818857
anneal (165) 348.50426818857
anneal (166) 348.50426818857
anneal (170) 348.50426818857
anneal (171) 348.50426818857
Weather (25) 77.607142857143
XOR (26) 0.5
Weather (26) 77.607142857143
anneal (169) 348.50426818857
anneal (167) 348.50426818857
anneal (172) 348.50426818857
Diabetes(scikit-learn) (13) 13.830316742081
XOR (25) 0.5
analcatdata_authorship (1) 10.125242058774
climate-model-simulation-crashes (1) 18.575018532685
wdbc (1) 61.890712339543
Amazon_employee_access (1)
GesturePhaseSegmentationProcessed (1) 0.0013097793076762
pol (1) 19.626665306122
steel-plates-fault (1) 106447.78586589
triazines (1) 0.21151489511722
cardiotocography (1) 106.21290686736
PhishingWebsites (1)
satimage (1) -0.00055608852600657
ada_agnostic (1) 34.15561522724
anneal (177) 348.50426818857
anneal (183) 348.50426818857
anneal (174) 348.50426818857
Weather (29) 77.607142857143
Diabetes(scikit-learn) (15) 13.830316742081
Weather (28) 77.607142857143
anneal (189) 348.50426818857
Diabetes(scikit-learn) (14) 13.830316742081
anneal (175) 348.50426818857
Weather (27) 77.607142857143
anneal (186) 348.50426818857
anneal (187) 348.50426818857
anneal (179) 348.50426818857
anneal (178) 348.50426818857
XOR (28) 0.5
XOR (30) 0.5
XOR (27) 0.5
anneal (182) 348.50426818857
anneal (173) 348.50426818857
anneal (184) 348.50426818857
anneal (188) 348.50426818857
anneal (181) 348.50426818857
Weather (30) 77.607142857143
XOR (29) 0.5
scene (1) 0.30826851410286
qsar-biodeg (1) 2.6835215743845
texture (1) -0.60551662272727
Click_prediction_small (5) 2225380.7137501
ozone-level-8hr (1) 296.49460649984
jm1 (1) 1902.782368645
wall-robot-navigation (1) 2.0457923463465
anneal (192) 348.50426818857
gas-drift (1) 2791.4633316684
madelon (1) 488.06103384615
UNIX_user_data (1) 885.17406593408
mbagrade (1) 289.02224590164
wisconsin (1) 86.317820839894
sleep (1) 82.823899541157
mozilla4 (1) 221598.56303635
tamilnadu-electricity (1) 0.50031097663878
kc1 (1) 285.09691661587
splice (1)
artificial-characters (1) 15.677500209714
electricity (1) 0.34418203759017
one-hundred-plants-margin (1) 0.015624954072266
anneal (202) 348.50426818857
Weather (36) 77.607142857143
anneal (190) 348.50426818857
XOR (31) 0.5
anneal (193) 348.50426818857
anneal (211) 348.50426818857
anneal (201) 348.50426818857
anneal (204) 348.50426818857
Weather (34) 77.607142857143
Diabetes(scikit-learn) (16) 13.830316742081
XOR (33) 0.5
anneal (206) 348.50426818857
anneal (209) 348.50426818857
anneal (212) 348.50426818857
anneal (216) 348.50426818857
XOR (32) 0.5
Weather (35) 77.607142857143
Weather (32) 77.607142857143
Diabetes(scikit-learn) (17) 13.830316742081
XOR (34) 0.5
XOR (36) 0.5
anneal (199) 348.50426818857
Weather (33) 77.607142857143
anneal (191) 348.50426818857
anneal (198) 348.50426818857
anneal (196) 348.50426818857
anneal (197) 348.50426818857
Diabetes(scikit-learn) (18) 13.830316742081
XOR (35) 0.5
detroit (1) 32568.318516484
anneal (194) 348.50426818857
anneal (226) 348.50426818857
XOR (38) 0.5
Weather (39) 77.607142857143
XOR (40) 0.5
XOR (39) 0.5
Diabetes(scikit-learn) (20) 13.830316742081
anneal (227) 348.50426818857
anneal (217) 348.50426818857
anneal (220) 348.50426818857
anneal (231) 348.50426818857
anneal (222) 348.50426818857
anneal (205) 348.50426818857
anneal (224) 348.50426818857
anneal (233) 348.50426818857
Weather (31) 77.607142857143
anneal (210) 348.50426818857
anneal (214) 348.50426818857
anneal (229) 348.50426818857
anneal (218) 348.50426818857
anneal (232) 348.50426818857
anneal (228) 348.50426818857
XOR (37) 0.5
Weather (37) 77.607142857143
Weather (38) 77.607142857143
Weather (40) 77.607142857143
mabbob_ela_as_2d_regression_DiagonalCMA (1) 2.6196173798308
anneal (200) 348.50426818857
anneal (219) 348.50426818857
mabbob_ela_as_2d_regression_RCobyla (1) 2.6137844940735
mabbob_ela_as_5d_classify (1) 9.6506524421629
mabbob_ela_as_2d_classify (2) 2.6635156238603
mabbob_ela_as_2d_regression_modcma (1) 2.6224673788004
mabbob_ela_as_5d_regression_DiagonalCMA (1) 9.4531464308121
mabbob_ela_as_5d_regression_RCobyla (1) 9.4475533754405
mabbob_ela_as_5d_regression_modcma (1) 9.4556462599288
anneal (223) 348.50426818857
mabbob_ela_as_2d_classify (1) 2.6635156238603
mabbob_ela_as_2d_classify (3) 2.6635156238603
mabbob_ela_as_5d_classify (2) 9.6506524421629
mabbob_ela_as_2d_regression_DifferentialEvolution (1) 2.6189921067216
mabbob_ela_as_2d_regression_modde (1) 2.6205389493232
mabbob_ela_as_5d_regression_DifferentialEvolution (1) 9.4494732824071
mabbob_ela_as_5d_regression_modde (1) 9.4517436360045
Diabetes(scikit-learn) (19) 13.830316742081
mfeat-factors (1) 318.27038888889
mfeat-fourier (1) 0.1320320840177
waveform-5000 (1) 0.8994882
fourclass_scale (1) -0.090235332173241
cpu_act (1) 73907.626650724
diabetes_numeric (1) 1.8767441860465
letter (1) 5.925465625
nomao (1) 0.79344645037907
adult (2) 31819.974765571
anneal (234) 348.50426818857
anneal (236) 348.50426818857
anneal (235) 348.50426818857
anneal (240) 348.50426818857
anneal (241) 348.50426818857
anneal (238) 348.50426818857
Diabetes(scikit-learn) (21) 13.830316742081
Weather (41) 77.607142857143
Weather (42) 77.607142857143
XOR (42) 0.5
XOR (41) 0.5
anneal (239) 348.50426818857
test (5) 3.4636666666667
test (11) 3.4636666666667
test (6) 3.4636666666667
test (12) 3.4636666666667
mfeat-morphological (1) 1052.6997316403
car (1)
cmc (1) 17.899864222675
credit-a (1) 207.05842997023
segment (1) 24.633144132658
tic-tac-toe (1)
vehicle (1) 117.63494877857
abalone (1) 0.38270340982934
eucalyptus (1) 390.08682880727
vowel (2) -0.1031804040404
monks-problems-1 (1)
monks-problems-2 (1)
monks-problems-3 (1)
JapaneseVowels (1) 2.053272292419
irish (1) 69.543299578059
analcatdata_dmft (1)
profb (1) 28.800744047619
banknote-authentication (1) 0.64051474344023
blood-transfusion-service-center (1) 356.99498663102
phoneme (1) -1.2287194680574E-8
wilt (1) 204.97116890275
dresses-sales (2) 3.5286
LED-display-domain-7digit (1) 0.65657142857143
Australian (3) -0.35136002080745
kin8nm (1) 0.081562861714852
cleveland (1) 83.582597342391
auto_price (1) 1321.4923773585
autoMpg (1) 661.48051071685
delta_elevators (1) -1.7990314594935
fruitfly (1) 27.241653333333
pbc (1) 449.09740946579
lowbwt (1) 1032.569664903
cholesterol (1) 83.582597342391
autoPrice (1) 1238.9450943396
mushroom (1)
pendigits (1) 50.711045533115
sick (1) 46.436689696411
isolet (1) 0.06479603695807
sylva_agnostic (1) 84.291369495581
pc1 (1) 1500.9949675813
musk (1) -46.007437449099
first-order-theorem-proving (1) -0.00055103311988412
ilpd (1) 60.14487102268
micro-mass (2) 67437.288993296
bolts (1) 14.888714285714
optdigits (1) 4.9112433274021
pc4 (1) 583.46403347792
mfeat-zernike (1) 88.636429414727
pc3 (1) 1008.1458672684
bank-marketing (1) 245.81710835227
MiceProtein (1) 0.67188681202573
test (9) 3.4636666666667
test (15) 3.4636666666667
test (1) 3.4636666666667
test (10) 3.4636666666667
test (14) 3.4636666666667
test (19) 3.4636666666667
test (17) 3.4636666666667
test (21) 3.4636666666667
test (22) 3.4636666666667
test (3) 3.4636666666667
cloud (1) 1.5334953703704
pharynx (1) 309.58205128205
breast-w (1) 3.1357041002822
test (18) 3.4636666666667
test (13) 3.4636666666667
test (16) 3.4636666666667
test (7) 3.4636666666667
test (2) 3.4636666666667
test (8) 3.4636666666667
test (23) 3.4636666666667
test (20) 3.4636666666667
test (4) 3.4636666666667
collins (1) 3.31444
kc2 (1) 977.89369914249
longley (1) 82613.659821429
kr-vs-kp (1)
balance-scale (1) 3
diabetes (1) 44.985791178385
quake (1) 35.803494031221
iris (1) 3.4636666666667
anneal (1) 348.50426818857
eeg-eye-state (1) 4316.8820285462
anneal (249) 348.50426818857
anneal (256) 348.50426818857
anneal (250) 348.50426818857
anneal (251) 348.50426818857
anneal (255) 348.50426818857
anneal (254) 348.50426818857
Weather (43) 77.607142857143
XOR (44) 0.5
XOR (43) 0.5
Weather (44) 77.607142857143
anneal (253) 348.50426818857
Diabetes(scikit-learn) (22) 13.830316742081