Measure

MinMeansOfNumericAtts

Minimum of means among attributes of the numeric type.

Value per dataset

anneal (3) 1.1985489977728
anneal (4) 1.1985489977728
iris-challenge (1) 1.1986666666667
anneal (6) 1.1985489977728
iris (2) 1.1986666666667
anneal (7) 1.1985489977728
web_questionsQA (1)
anneal (5) 1.1985489977728
anneal (2) 1.1985489977728
anneal (17) 1.1985489977728
anneal (16) 1.1985489977728
anneal (8) 1.1985489977728
anneal (9) 1.1985489977728
anneal (10) 1.1985489977728
anneal (12) 1.1985489977728
anneal (11) 1.1985489977728
anneal (13) 1.1985489977728
TEST0f75339a9c-XOR (1) 0.5
anneal (18) 1.1985489977728
anneal (14) 1.1985489977728
anneal (21) 1.1985489977728
anneal (20) 1.1985489977728
anneal (23) 1.1985489977728
TEST93718efcb7-XOR (1) 0.5
TEST491e2d1fcf-ModifiedWeather (1) 73.571428571429
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) 0.4
TESTc12a586b90-pandas_testing_dataset (1) 0.4
TEST8a3eef08ba-pandas_testing_dataset (1) 77.2
TESTef4d31c89e-ModifiedWeather (1) 73.571428571429
TESTf996380d59-pandas_testing_dataset (2) 0.4
TEST68ee912c72-XOR (1) 0.5
TESTde76aea5ac-pandas_testing_dataset (2) 0.5
TESTf996380d59-pandas_testing_dataset (1) 0.4
anneal (25) 1.1985489977728
TESTc12a586b90-pandas_testing_dataset (3) 0.4
TESTc12a586b90-pandas_testing_dataset (2) 0.4
TESTb07cf9b053-XOR (1) 0.5
anneal (32) 1.1985489977728
anneal (28) 1.1985489977728
anneal (22) 1.1985489977728
anneal (35) 1.1985489977728
anneal (27) 1.1985489977728
anneal (30) 1.1985489977728
anneal (26) 1.1985489977728
Diabetes(scikit-learn) (1) -2.2374008126354E-16
anneal (29) 1.1985489977728
anneal (31) 1.1985489977728
anneal (37) 1.1985489977728
Weather (1) 73.571428571429
TESTf996380d59-pandas_testing_dataset (3) 0.4
XOR (2) 0.25
TESTc12a586b90-pandas_testing_dataset (4) 0.4
soybean (1)
XOR (1) 0.5
anneal (33) 1.1985489977728
Weather (2) 73.571428571429
anneal (24) 1.1985489977728
anneal (41) 1.1985489977728
mfeat-karhunen (1) -1.81970727405
anneal (38) 1.1985489977728
anneal (50) 1.1985489977728
TESTfeb0eb848e-pandas_testing_dataset (3)
anneal (40) 1.1985489977728
TESTa675afdd91-pandas_testing_dataset (3)
anneal (49) 1.1985489977728
anneal (46) 1.1985489977728
anneal (53) 1.1985489977728
anneal (47) 1.1985489977728
Weather (3) 73.571428571429
XOR (3) 0.5
XOR (4) 0.25
anneal (42) 1.1985489977728
anneal (48) 1.1985489977728
anneal (51) 1.1985489977728
anneal (55) 1.1985489977728
XOR (6) 0.25
Weather (4) 73.571428571429
Weather (6) 73.571428571429
Weather (5) 73.571428571429
TESTe4a276b0cf-pandas_testing_dataset (3) 0.4
anneal (68) 1.1985489977728
Diabetes(scikit-learn) (2) -2.2374008126354E-16
TEST08cae6fca0-XOR (1) 0.5
XOR (5) 0.5
TESTb327ca7de9-XOR (1) 0.5
TESTe551bfc9c4-XOR (1) 0.5
anneal (57) 1.1985489977728
TEST9b725c857e-pandas_testing_dataset (2) 0.5
anneal (58) 1.1985489977728
TESTd5d5774b51-XOR (1) 0.5
anneal (69) 1.1985489977728
TESTde76aea5ac-pandas_testing_dataset (1) 77.2
TEST5f593a2b6b-pandas_testing_dataset (1) 77.2
TESTb075985133-pandas_testing_dataset (1) 0.4
TEST9a3df79c6a-pandas_testing_dataset (1) 77.2
TESTb1b7df6256-XOR (1) 0.5
TEST9b725c857e-pandas_testing_dataset (1) 77.2
anneal (73) 3.0461
TEST3af90fc5e8-pandas_testing_dataset (1) 0.4
TEST930682397f-pandas_testing_dataset (4) 0.4
TESTec5422582f-XOR (1) 0.5
TESTbfaff51e7c-XOR (1) 0.5
TESTc8d3dcd16c-ModifiedWeather (1) 73.571428571429
vineyard (1) 3.2788461538462
anneal (56) 1.1985489977728
TEST8451297d53-UploadTestWithURL (1) 1.1986666666667
TEST9b725c857e-pandas_testing_dataset (3)
Diabetes(scikit-learn) (3) -2.2374008126354E-16
TEST541c23ce86-UploadTestWithURL (1) 1.1986666666667
TEST9bde17c085-pandas_testing_dataset (2) 0.5
anneal (60) 1.1985489977728
anneal (70) 1.1985489977728
TESTb7b2b01540-XOR (1) 0.5
anneal (61) 1.1985489977728
anneal (64) 1.1985489977728
anneal (71) 3.0461
TEST3312f9ab08-XOR (1) 0.5
TEST9a3df79c6a-pandas_testing_dataset (3)
TEST930682397f-pandas_testing_dataset (2) 0.4
TEST9a3df79c6a-pandas_testing_dataset (2) 0.5
TEST03c86d3a28-ModifiedWeather (1) 73.571428571429
anneal (72) 1.1985489977728
TEST4e3eedc7d2-pandas_testing_dataset (2) 0.5
TEST324d7cf258-ModifiedWeather (1) 73.571428571429
TEST35417de77f-XOR (1) 0.5
TEST3af90fc5e8-pandas_testing_dataset (4) 0.4
TESTb075985133-pandas_testing_dataset (2) 0.4
TESTa759ae6cbf-pandas_testing_dataset (2) 0.4
TESTa759ae6cbf-pandas_testing_dataset (4) 0.4
TEST3fc0c0bd1b-XOR (1) 0.5
credit-g (1) 1.155
TEST43ba10d105-pandas_testing_dataset (4) 0.4
TEST930682397f-pandas_testing_dataset (3) 0.4
anneal (65) 1.1985489977728
TESTa759ae6cbf-pandas_testing_dataset (1) 0.4
TEST9bde17c085-pandas_testing_dataset (1) 77.2
TEST0c357fa5de-XOR (1) 0.5
TEST6ca67e6faa-ModifiedWeather (1) 73.571428571429
anneal (79) 1.1985489977728
TESTe4a276b0cf-pandas_testing_dataset (4) 0.4
TEST48f3ec321a-pandas_testing_dataset (1) 77.2
TESTb075985133-pandas_testing_dataset (3) 0.4
TEST9bde17c085-pandas_testing_dataset (3)
XOR (7) 0.5
TEST930682397f-pandas_testing_dataset (1) 0.4
TEST4e3eedc7d2-pandas_testing_dataset (1) 77.2
TEST3af90fc5e8-pandas_testing_dataset (3) 0.4
TEST5861a96af9-UploadTestWithURL (1) 1.1986666666667
anneal (39) 1.1985489977728
Weather (7) 73.571428571429
anneal (43) 1.1985489977728
anneal (63) 1.1985489977728
TEST4e3eedc7d2-pandas_testing_dataset (3)
anneal (62) 1.1985489977728
anneal (76) 1.1985489977728
anneal (81) 1.1985489977728
anneal (74) 1.1985489977728
TESTa759ae6cbf-pandas_testing_dataset (3) 0.4
TEST67f486525d-XOR (1) 0.5
anneal (78) 1.1985489977728
TESTb075985133-pandas_testing_dataset (4) 0.4
anneal (82) 1.1985489977728
Weather (8) 73.571428571429
anneal (75) 1.1985489977728
anneal (77) 1.1985489977728
anneal (83) 1.1985489977728
Diabetes(scikit-learn) (4) -2.2374008126354E-16
TEST3af90fc5e8-pandas_testing_dataset (2) 0.4
XOR (8) 0.25
TEST3556189ac9-UploadTestWithURL (1) 1.1986666666667
anneal (66) 1.1985489977728
anneal (86) 1.1985489977728
anneal (90) 1.1985489977728
anneal (85) 1.1985489977728
Weather (10) 73.571428571429
Diabetes(scikit-learn) (5) -2.2374008126354E-16
XOR (9) 0.5
anneal (84) 1.1985489977728
TESTaae5145e5a-pandas_testing_dataset (1) 0.4
anneal (95) 1.1985489977728
Weather (9) 73.571428571429
TEST659b6910a4-ModifiedWeather (1) 73.571428571429
anneal (100) 1.1985489977728
anneal (97) 1.1985489977728
anneal (92) 1.1985489977728
Weather (12) 73.571428571429
TESTaae5145e5a-pandas_testing_dataset (2) 0.4
TEST4f5a60c6fe-XOR (1) 0.5
XOR (11) 0.5
Weather (11) 73.571428571429
TESTaae5145e5a-pandas_testing_dataset (4) 0.4
XOR (10) 0.25
mfeat-pixel (1)
anneal (103) 1.1985489977728
Diabetes(scikit-learn) (6) -2.2374008126354E-16
anneal (89) 1.1985489977728
TESTd595e0f71b-pandas_testing_dataset (3)
anneal (101) 1.1985489977728
anneal (104) 1.1985489977728
anneal (107) 1.1985489977728
TEST41e4ee3472-pandas_testing_dataset (4) 0.4
TEST41e4ee3472-pandas_testing_dataset (3) 0.4
hill-valley (1) 8089.0710148515
TEST0cc3a4aabf-pandas_testing_dataset (1) 77.2
TEST7385da85d0-XOR (1) 0.5
TEST107d885b90-pandas_testing_dataset (3)
TESTd595e0f71b-pandas_testing_dataset (2) 0.5
anneal (112) 1.1985489977728
TESTe5ab921db9-pandas_testing_dataset (3)
anneal (93) 1.1985489977728
TESTa70326ee04-pandas_testing_dataset (3) 0.4
anneal (115) 1.1985489977728
TEST5087cf3992-pandas_testing_dataset (3) 0.4
TESTde22fbf900-ModifiedWeather (1) 73.571428571429
TEST300949fc4c-XOR (1) 0.5
TESTe5ab921db9-pandas_testing_dataset (2) 0.5
TESTd43f0f6683-pandas_testing_dataset (3) 0.4
TESTd43f0f6683-pandas_testing_dataset (1) 0.4
anneal (110) 1.1985489977728
anneal (124) 1.1985489977728
TESTe7d3072a9e-pandas_testing_dataset (3)
TESTba904bcd9a-ModifiedWeather (1) 73.571428571429
TEST31791bfdd8-pandas_testing_dataset (1) 77.2
TEST5c956d87a7-XOR (1) 0.5
TESTd595e0f71b-pandas_testing_dataset (1) 77.2
TESTd43f0f6683-pandas_testing_dataset (2) 0.4
TEST5087cf3992-pandas_testing_dataset (1) 0.4
anneal (113) 1.1985489977728
TESTa70326ee04-pandas_testing_dataset (4) 0.4
anneal (99) 1.1985489977728
anneal (88) 1.1985489977728
TEST06657cce0d-ModifiedWeather (1) 73.571428571429
TESTe7d3072a9e-pandas_testing_dataset (2) 0.5
TEST9c5326e45b-UploadTestWithURL (1) 1.1986666666667
anneal (122) 1.1985489977728
TEST393d571ed9-XOR (1) 0.5
anneal (119) 1.1985489977728
anneal (117) 3.0461
TESTba19613b26-ModifiedWeather (1) 73.571428571429
TESTd43f0f6683-pandas_testing_dataset (4) 0.4
TEST107d885b90-pandas_testing_dataset (1) 77.2
TESTe7d3072a9e-pandas_testing_dataset (1) 77.2
TEST5087cf3992-pandas_testing_dataset (4) 0.4
XOR (13) 0.5
TESTf267503cca-XOR (1) 0.5
XOR (15) 0.5
anneal (111) 1.1985489977728
Diabetes(scikit-learn) (8) -2.2374008126354E-16
anneal (125) 1.1985489977728
TESTa70326ee04-pandas_testing_dataset (2) 0.4
anneal (114) 1.1985489977728
TEST534813403d-XOR (1) 0.5
Weather (16) 73.571428571429
TEST104cefcf93-XOR (1) 0.5
TESTd2ce00f39d-UploadTestWithURL (1) 1.1986666666667
TEST44ce59e507-UploadTestWithURL (1) 1.1986666666667
TEST41e4ee3472-pandas_testing_dataset (1) 0.4
Weather (15) 73.571428571429
TEST107d885b90-pandas_testing_dataset (2) 0.5
anneal (134) 1.1985489977728
TEST69f067a100-pandas_testing_dataset (3)
TEST6be6740770-XOR (1) 0.5
TEST13f574f33c-ModifiedWeather (1) 73.571428571429
TEST8082298a9f-pandas_testing_dataset (2) 0.4
anneal (127) 1.1985489977728
anneal (128) 1.1985489977728
TEST8b50f94dd0-pandas_testing_dataset (1) 77.2
TEST35c4267650-XOR (1) 0.5
TESTe5ab921db9-pandas_testing_dataset (1) 77.2
TEST0b00a7fd2f-XOR (1) 0.5
TEST0380554bf7-pandas_testing_dataset (2) 0.4
TEST8b50f94dd0-pandas_testing_dataset (2) 0.5
Diabetes(scikit-learn) (10) -2.2374008126354E-16
TEST68e83a7f94-pandas_testing_dataset (3)
TESTf835401612-pandas_testing_dataset (3)
TESTaeab31689e-UploadTestWithURL (1) 1.1986666666667
anneal (108) 1.1985489977728
TEST6f4f5ea7ed-ModifiedWeather (1) 73.571428571429
anneal (141) 1.1985489977728
TESTf8293d7a08-pandas_testing_dataset (2) 0.5
anneal (131) 1.1985489977728
anneal (121) 1.1985489977728
anneal (129) 1.1985489977728
anneal (133) 1.1985489977728
XOR (12) 0.25
TESTb9afa86415-pandas_testing_dataset (3) 0.4
TEST8082298a9f-pandas_testing_dataset (1) 0.4
anneal (142) 1.1985489977728
TEST5087cf3992-pandas_testing_dataset (2) 0.4
anneal (143) 1.1985489977728
Weather (19) 73.571428571429
TESTed97a7a3c7-ModifiedWeather (1) 73.571428571429
XOR (17) 0.5
TESTc04561a900-XOR (1) 0.5
one-hundred-plants-shape (1) 0.000540908125
TEST41e4ee3472-pandas_testing_dataset (2) 0.4
TESTf835401612-pandas_testing_dataset (2) 0.5
TEST65d4158d00-pandas_testing_dataset (1) 0.4
Bioresponse (1) 4.4432595841109E-5
TEST69f067a100-pandas_testing_dataset (1) 77.2
TEST0d33c33299-XOR (1) 0.5
anneal (146) 1.1985489977728
anneal (145) 1.1985489977728
cjs (3) 0.3
anneal (105) 1.1985489977728
TESTa7f4a278b1-pandas_testing_dataset (1) 0.4
XOR (19) 0.5
TEST65d4158d00-pandas_testing_dataset (3) 0.4
anneal (138) 1.1985489977728
anneal (151) 1.1985489977728
Diabetes(scikit-learn) (11) -2.2374008126354E-16
TESTb9afa86415-pandas_testing_dataset (1) 0.4
TEST69f067a100-pandas_testing_dataset (2) 0.5
TEST65d4158d00-pandas_testing_dataset (2) 0.4
TESTe31c18ad94-XOR (1) 0.5
TEST8082298a9f-pandas_testing_dataset (3) 0.4
TESTa7f4a278b1-pandas_testing_dataset (4) 0.4
TESTa7f4a278b1-pandas_testing_dataset (2) 0.4
TEST0380554bf7-pandas_testing_dataset (1) 0.4
TEST7a1e9bfee8-UploadTestWithURL (1) 1.1986666666667
XOR (21) 0.5
anneal (120) 1.1985489977728
anneal (130) 1.1985489977728
TEST5f324b2a59-pandas_testing_dataset (3)
TESTa70326ee04-pandas_testing_dataset (1) 0.4
XOR (14) 0.25
TEST0032b11fc5-XOR (1) 0.5
anneal (140) 1.1985489977728
anneal (102) 1.1985489977728
anneal (136) 1.1985489977728
anneal (139) 1.1985489977728
TEST0817090897-pandas_testing_dataset (3)
TEST8082298a9f-pandas_testing_dataset (4) 0.4
TESTad4e03ac11-XOR (1) 0.5
TEST0817090897-pandas_testing_dataset (2) 0.5
TEST2abc4a67a5-XOR (1) 0.5
anneal (149) 1.1985489977728
TEST11a33fb394-ModifiedWeather (1) 73.571428571429
Weather (23) 73.571428571429
anneal (159) 1.1985489977728
anneal (157) 1.1985489977728
anneal (126) 1.1985489977728
TEST0817090897-pandas_testing_dataset (1) 77.2
TEST0380554bf7-pandas_testing_dataset (4) 0.4
TEST3ee36e8050-XOR (1) 0.5
anneal (137) 1.1985489977728
Weather (24) 73.571428571429
anneal (148) 1.1985489977728
anneal (94) 1.1985489977728
anneal (162) 1.1985489977728
TESTaae5145e5a-pandas_testing_dataset (3) 0.4
Weather (21) 73.571428571429
TEST5f324b2a59-pandas_testing_dataset (2) 0.5
TEST2aa7f500a9-pandas_testing_dataset (1) 77.2
TESTf8293d7a08-pandas_testing_dataset (1) 77.2
TEST5f324b2a59-pandas_testing_dataset (1) 77.2
TESTb9afa86415-pandas_testing_dataset (4) 0.4
TEST0380554bf7-pandas_testing_dataset (3) 0.4
anneal (156) 1.1985489977728
anneal (135) 1.1985489977728
anneal (150) 1.1985489977728
anneal (116) 3.0461
XOR (22) 0.25
TESTf8293d7a08-pandas_testing_dataset (3)
TESTa7f4a278b1-pandas_testing_dataset (3) 0.4
TEST2c8d16b5fc-XOR (1) 0.5
XOR (16) 0.25
TEST468d7bc5fb-UploadTestWithURL (1) 1.1986666666667
anneal (160) 1.1985489977728
anneal (153) 1.1985489977728
anneal (147) 3.0461
Weather (14) 73.571428571429
Weather (17) 73.571428571429
Weather (13) 73.571428571429
TEST8b50f94dd0-pandas_testing_dataset (3)
XOR (24) 0.25
XOR (18) 0.25
XOR (20) 0.25
anneal (144) 1.1985489977728
anneal (154) 1.1985489977728
TEST65d4158d00-pandas_testing_dataset (4) 0.4
Weather (18) 73.571428571429
Weather (20) 73.571428571429
TEST5495fa0b29-ModifiedWeather (1) 73.571428571429
TESTf835401612-pandas_testing_dataset (1) 77.2
Diabetes(scikit-learn) (7) -2.2374008126354E-16
Diabetes(scikit-learn) (9) -2.2374008126354E-16
Diabetes(scikit-learn) (12) -2.2374008126354E-16
TESTe58a794a8e-XOR (1) 0.5
XOR (23) 0.5
anneal (158) 1.1985489977728
anneal (118) 1.1985489977728
anneal (109) 1.1985489977728
anneal (155) 1.1985489977728
anneal (164) 1.1985489977728
Weather (22) 73.571428571429
TESTb9afa86415-pandas_testing_dataset (2) 0.4
semeion (1) 0.040803515379787
synthetic_control (1) 28.154208666667
gina_agnostic (1) 0.93194925028835
MagicTelescope (1) -4.3317451577287
one-hundred-plants-texture (1) 0.0026365434646654
spambase (1) 0.005444468593784
cnae-9 (1) 0.00092592592592592
har (1) -0.98454895523837
cylinder-bands (2) 0.038144329896907
anneal (67) 1.1985489977728
anneal (165) 1.1985489977728
anneal (166) 1.1985489977728
anneal (170) 1.1985489977728
anneal (171) 1.1985489977728
Weather (25) 73.571428571429
XOR (26) 0.25
Weather (26) 73.571428571429
anneal (169) 1.1985489977728
anneal (167) 1.1985489977728
anneal (172) 1.1985489977728
Diabetes(scikit-learn) (13) -2.2374008126354E-16
XOR (25) 0.5
analcatdata_authorship (1) 0.44470868014269
climate-model-simulation-crashes (1) 0.49991312962963
wdbc (1) 0.0037949033391916
Amazon_employee_access (1)
GesturePhaseSegmentationProcessed (1) -1.4722551402816E-5
pol (1) 0
steel-plates-fault (1) -0.13130504894384
triazines (1) 0
cardiotocography (1) 0.0032925682031986
PhishingWebsites (1)
satimage (1) -0.00086296858475897
ada_agnostic (1) 0
anneal (177) 1.1985489977728
anneal (183) 1.1985489977728
anneal (174) 1.1985489977728
Weather (29) 73.571428571429
Diabetes(scikit-learn) (15) -2.2374008126354E-16
Weather (28) 73.571428571429
anneal (189) 1.1985489977728
Diabetes(scikit-learn) (14) -2.2374008126354E-16
anneal (175) 1.1985489977728
Weather (27) 73.571428571429
anneal (186) 1.1985489977728
anneal (187) 1.1985489977728
anneal (179) 1.1985489977728
anneal (178) 1.1985489977728
XOR (28) 0.25
XOR (30) 0.25
XOR (27) 0.5
anneal (182) 1.1985489977728
anneal (173) 1.1985489977728
anneal (184) 1.1985489977728
anneal (188) 1.1985489977728
anneal (181) 1.1985489977728
Weather (30) 73.571428571429
XOR (29) 0.5
scene (1) 0.026224997922725
qsar-biodeg (1) -0.19712890995261
texture (1) -1.0983054545455
Click_prediction_small (5) 1.4638530089116
ozone-level-8hr (1) -10.51140968824
jm1 (1) 0.13533486449242
wall-robot-navigation (1) 0.91027309384164
anneal (192) 1.1985489977728
gas-drift (1) -72.753951340546
madelon (1) 475.77615384615
UNIX_user_data (1) 885.17406593408
mbagrade (1) 3.290393442623
wisconsin (1) 0.0040044381443299
sleep (1) 2.4193548387097
mozilla4 (1) 0.56789964618848
tamilnadu-electricity (1) 0.49963933946397
kc1 (1) 0.086737790422001
splice (1)
artificial-characters (1) 2.2227441769427
electricity (1) 0.0034670338983051
one-hundred-plants-margin (1) 0.0001550275
anneal (202) 1.1985489977728
Weather (36) 73.571428571429
anneal (190) 1.1985489977728
XOR (31) 0.5
anneal (193) 1.1985489977728
anneal (211) 1.1985489977728
anneal (201) 1.1985489977728
anneal (204) 1.1985489977728
Weather (34) 73.571428571429
Diabetes(scikit-learn) (16) -2.2374008126354E-16
XOR (33) 0.5
anneal (206) 1.1985489977728
anneal (209) 1.1985489977728
anneal (212) 1.1985489977728
anneal (216) 1.1985489977728
XOR (32) 0.25
Weather (35) 73.571428571429
Weather (32) 73.571428571429
Diabetes(scikit-learn) (17) -2.2374008126354E-16
XOR (34) 0.25
XOR (36) 0.25
anneal (199) 1.1985489977728
Weather (33) 73.571428571429
anneal (191) 1.1985489977728
anneal (198) 1.1985489977728
anneal (196) 1.1985489977728
anneal (197) 1.1985489977728
Diabetes(scikit-learn) (18) -2.2374008126354E-16
XOR (35) 0.5
detroit (1) 3.9476923076923
anneal (194) 1.1985489977728
anneal (226) 1.1985489977728
XOR (38) 0.25
Weather (39) 73.571428571429
XOR (40) 0.25
XOR (39) 0.5
Diabetes(scikit-learn) (20) -2.2374008126354E-16
anneal (227) 1.1985489977728
anneal (217) 1.1985489977728
anneal (220) 1.1985489977728
anneal (231) 1.1985489977728
anneal (222) 1.1985489977728
anneal (205) 1.1985489977728
anneal (224) 1.1985489977728
anneal (233) 1.1985489977728
Weather (31) 73.571428571429
anneal (210) 1.1985489977728
anneal (214) 1.1985489977728
anneal (229) 1.1985489977728
anneal (218) 1.1985489977728
anneal (232) 1.1985489977728
anneal (228) 1.1985489977728
XOR (37) 0.5
Weather (37) 73.571428571429
Weather (38) 73.571428571429
Weather (40) 73.571428571429
mabbob_ela_as_2d_regression_DiagonalCMA (1) -3.3256922032223
anneal (200) 1.1985489977728
anneal (219) 1.1985489977728
mabbob_ela_as_2d_regression_RCobyla (1) -3.3256922032223
mabbob_ela_as_5d_classify (1) -1.4686128355644
mabbob_ela_as_2d_classify (2) -3.3256922032223
mabbob_ela_as_2d_regression_modcma (1) -3.3256922032223
mabbob_ela_as_5d_regression_DiagonalCMA (1) -1.4686128355644
mabbob_ela_as_5d_regression_RCobyla (1) -1.4686128355644
mabbob_ela_as_5d_regression_modcma (1) -1.4686128355644
anneal (223) 1.1985489977728
mabbob_ela_as_2d_classify (1) -3.3256922032223
mabbob_ela_as_2d_classify (3) -3.3256922032223
mabbob_ela_as_5d_classify (2) -1.4686128355644
mabbob_ela_as_2d_regression_DifferentialEvolution (1) -3.3256922032223
mabbob_ela_as_2d_regression_modde (1) -3.3256922032223
mabbob_ela_as_5d_regression_DifferentialEvolution (1) -1.4686128355644
mabbob_ela_as_5d_regression_modde (1) -1.4686128355644
Diabetes(scikit-learn) (19) -2.2374008126354E-16
mfeat-factors (1) 6.7675
mfeat-fourier (1) 0.07169202572
waveform-5000 (1) -0.025552
fourclass_scale (1) -0.2877030162413
cpu_act (1) 1.1275048828125
diabetes_numeric (1) -8.1488372093023
letter (1) 3.0461
nomao (1) 0.39616810758741
adult (2) 10.078088530363
anneal (234) 1.1985489977728
anneal (236) 1.1985489977728
anneal (235) 1.1985489977728
anneal (240) 1.1985489977728
anneal (241) 1.1985489977728
anneal (238) 1.1985489977728
Diabetes(scikit-learn) (21) -2.2374008126354E-16
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Weather (42) 73.571428571429
XOR (42) 0.25
XOR (41) 0.5
anneal (239) 1.1985489977728
test (5) 1.1986666666667
test (11) 1.1986666666667
test (6) 1.1986666666667
test (12) 1.1986666666667
mfeat-morphological (1) 0.4925
car (1)
cmc (1) 3.2613713509844
credit-a (1) 2.2234057971014
segment (1) -12.690860359307
tic-tac-toe (1)
vehicle (1) 6.3770685579196
abalone (1) 0.13951639932966
eucalyptus (1) -2.5842391304348
vowel (2) -3.2037404040404
monks-problems-1 (1)
monks-problems-2 (1)
monks-problems-3 (1)
JapaneseVowels (1) -0.52871565766489
irish (1) 38.934599156118
analcatdata_dmft (1)
profb (1) 5.3102678571429
banknote-authentication (1) -1.191656521137
blood-transfusion-service-center (1) 5.514705882353
phoneme (1) -6.6987416752916E-8
wilt (1) 24.482006945443
dresses-sales (2) 3.5286
LED-display-domain-7digit (1) 0.396
Australian (3) -0.97965228985507
kin8nm (1) -0.012944916074117
cleveland (1) 0.67224080267559
auto_price (1) 3.2363522012579
autoMpg (1) 15.568090452261
delta_elevators (1) -12.304297572764
fruitfly (1) 0.82096
pbc (1) 3.2208133971292
lowbwt (1) 23.238095238095
cholesterol (1) 0.67224080267559
autoPrice (1) 0.73584905660377
mushroom (1)
pendigits (1) 28.845342066958
sick (1) 0.99499970457903
isolet (1) -0.98551273566756
sylva_agnostic (1) 0
pc1 (1) 0.12941388638413
musk (1) -265.69096695968
first-order-theorem-proving (1) -0.040910567015363
ilpd (1) 0.94706390394511
micro-mass (2) 0
bolts (1) 1
optdigits (1) 0
pc4 (1) 0.070644718792867
mfeat-zernike (1) 0.07855426092
pc3 (1) 0.12455534229047
bank-marketing (1) 0.58032337263043
MiceProtein (1) 0.12088914805463
test (9) 1.1986666666667
test (15) 1.1986666666667
test (1) 1.1986666666667
test (10) 1.1986666666667
test (14) 1.1986666666667
test (19) 1.1986666666667
test (17) 1.1986666666667
test (21) 1.1986666666667
test (22) 1.1986666666667
test (3) 1.1986666666667
cloud (1) 1.2021296296296
pharynx (1) 60.435897435897
breast-w (1) 1.5894134477825
test (18) 1.1986666666667
test (13) 1.1986666666667
test (16) 1.1986666666667
test (7) 1.1986666666667
test (2) 1.1986666666667
test (8) 1.1986666666667
test (23) 1.1986666666667
test (20) 1.1986666666667
test (4) 1.1986666666667
collins (1) 0.2842
kc2 (1) 0.18896551724138
longley (1) 101.68125
kr-vs-kp (1)
balance-scale (1) 3
diabetes (1) 0.47187630208333
quake (1) 5.9771808999082
iris (1) 1.1986666666667
anneal (1) 1.1985489977728
eeg-eye-state (1) 4009.7676935915
anneal (249) 1.1985489977728
anneal (256) 1.1985489977728
anneal (250) 1.1985489977728
anneal (251) 1.1985489977728
anneal (255) 1.1985489977728
anneal (254) 1.1985489977728
Weather (43) 73.571428571429
XOR (44) 0.25
XOR (43) 0.5
Weather (44) 73.571428571429
anneal (253) 1.1985489977728
Diabetes(scikit-learn) (22) -2.2374008126354E-16