Measure

Quartile1SkewnessOfNumericAtts

First quartile of skewness among attributes of the numeric type.

Value per dataset

anneal (3) 0.96738460362973
anneal (4) 0.96738460362973
iris-challenge (1) -0.23209732989137
anneal (6) 0.96738460362973
iris (2) -0.23209732989137
anneal (7) 0.96738460362973
web_questionsQA (1)
anneal (5) 0.96738460362973
anneal (2) 0.96738460362973
anneal (17) 0.96738460362973
anneal (16) 0.96738460362973
anneal (8) 0.96738460362973
anneal (9) 0.96738460362973
anneal (10) 0.96738460362973
anneal (12) 0.96738460362973
anneal (11) 0.96738460362973
anneal (13) 0.96738460362973
TEST0f75339a9c-XOR (1) 0
anneal (18) 0.96738460362973
anneal (14) 0.96738460362973
anneal (21) 0.96738460362973
anneal (20) 0.96738460362973
anneal (23) 0.96738460362973
TEST93718efcb7-XOR (1) 0
TEST491e2d1fcf-ModifiedWeather (1) -0.18120777292829
TEST8a3eef08ba-pandas_testing_dataset (3)
TEST8a3eef08ba-pandas_testing_dataset (2) -2
TEST95354eb682-XOR (1) 0
TESTde76aea5ac-pandas_testing_dataset (3)
TESTf996380d59-pandas_testing_dataset (4) 0
TESTc12a586b90-pandas_testing_dataset (1) 0
TEST8a3eef08ba-pandas_testing_dataset (1) -0.41580250953094
TESTef4d31c89e-ModifiedWeather (1) -0.18120777292829
TESTf996380d59-pandas_testing_dataset (2) 0
TEST68ee912c72-XOR (1) 0
TESTde76aea5ac-pandas_testing_dataset (2) -2
TESTf996380d59-pandas_testing_dataset (1) 0
anneal (25) 0.96738460362973
TESTc12a586b90-pandas_testing_dataset (3) 0.60858061945018
TESTc12a586b90-pandas_testing_dataset (2) 0
TESTb07cf9b053-XOR (1) 0
anneal (32) 0.96738460362973
anneal (28) 0.96738460362973
anneal (22) 0.96738460362973
anneal (35) 0.96738460362973
anneal (27) 0.96738460362973
anneal (30) 0.96738460362973
anneal (26) 0.96738460362973
Diabetes(scikit-learn) (1) 0.20791661615071
anneal (29) 0.96738460362973
anneal (31) 0.96738460362973
anneal (37) 0.96738460362973
Weather (1) -0.18120777292829
TESTf996380d59-pandas_testing_dataset (3) 0.60858061945018
XOR (2) -2
TESTc12a586b90-pandas_testing_dataset (4) 0
soybean (1)
XOR (1) 0
anneal (33) 0.96738460362973
Weather (2) -0.18120777292829
anneal (24) 0.96738460362973
anneal (41) 0.96738460362973
mfeat-karhunen (1) -0.10420201025097
anneal (38) 0.96738460362973
anneal (50) 0.96738460362973
TESTfeb0eb848e-pandas_testing_dataset (3)
anneal (40) 0.96738460362973
TESTa675afdd91-pandas_testing_dataset (3)
anneal (49) 0.96738460362973
anneal (46) 0.96738460362973
anneal (53) 0.96738460362973
anneal (47) 0.96738460362973
Weather (3) -0.18120777292829
XOR (3) 0
XOR (4) -2
anneal (42) 0.96738460362973
anneal (48) 0.96738460362973
anneal (51) 0.96738460362973
anneal (55) 0.96738460362973
XOR (6) -2
Weather (4) -0.18120777292829
Weather (6) -0.18120777292829
Weather (5) -0.18120777292829
TESTe4a276b0cf-pandas_testing_dataset (3) 0.60858061945018
anneal (68) 0.96738460362973
Diabetes(scikit-learn) (2) 0.20791661615071
TEST08cae6fca0-XOR (1) 0
XOR (5) 0
TESTb327ca7de9-XOR (1) 0
TESTe551bfc9c4-XOR (1) 0
anneal (57) 0.96738460362973
TEST9b725c857e-pandas_testing_dataset (2) -2
anneal (58) 0.96738460362973
TESTd5d5774b51-XOR (1) 0
anneal (69) 0.96738460362973
TESTde76aea5ac-pandas_testing_dataset (1) -0.41580250953094
TEST5f593a2b6b-pandas_testing_dataset (1) -0.41580250953094
TESTb075985133-pandas_testing_dataset (1) 0
TEST9a3df79c6a-pandas_testing_dataset (1) -0.41580250953094
TESTb1b7df6256-XOR (1) 0
TEST9b725c857e-pandas_testing_dataset (1) -0.41580250953094
anneal (73) -0.13733042812365
TEST3af90fc5e8-pandas_testing_dataset (1) 0
TEST930682397f-pandas_testing_dataset (4) 0
TESTec5422582f-XOR (1) 0
TESTbfaff51e7c-XOR (1) 0
TESTc8d3dcd16c-ModifiedWeather (1) -0.18120777292829
anneal (56) 0.96738460362973
TEST8451297d53-UploadTestWithURL (1) -0.23209732989137
TEST9b725c857e-pandas_testing_dataset (3)
Diabetes(scikit-learn) (3) 0.20791661615071
TEST541c23ce86-UploadTestWithURL (1) -0.23209732989137
TEST9bde17c085-pandas_testing_dataset (2) -2
anneal (60) 0.96738460362973
anneal (70) 0.96738460362973
TESTb7b2b01540-XOR (1) 0
anneal (61) 0.96738460362973
anneal (64) 0.96738460362973
anneal (71) -0.13733042812365
TEST3312f9ab08-XOR (1) 0
TEST9a3df79c6a-pandas_testing_dataset (3)
TEST930682397f-pandas_testing_dataset (2) 0
TEST9a3df79c6a-pandas_testing_dataset (2) -2
TEST03c86d3a28-ModifiedWeather (1) -0.18120777292829
anneal (72) 0.96738460362973
TEST4e3eedc7d2-pandas_testing_dataset (2) -2
TEST324d7cf258-ModifiedWeather (1) -0.18120777292829
TEST35417de77f-XOR (1) 0
TEST3af90fc5e8-pandas_testing_dataset (4) 0
TESTb075985133-pandas_testing_dataset (2) 0
TESTa759ae6cbf-pandas_testing_dataset (2) 0
TESTa759ae6cbf-pandas_testing_dataset (4) 0
TEST3fc0c0bd1b-XOR (1) 0
credit-g (1) -0.27256981403372
TEST43ba10d105-pandas_testing_dataset (4) 0
TEST930682397f-pandas_testing_dataset (3) 0.60858061945018
anneal (65) 0.96738460362973
TESTa759ae6cbf-pandas_testing_dataset (1) 0
TEST9bde17c085-pandas_testing_dataset (1) -0.41580250953094
TEST0c357fa5de-XOR (1) 0
TEST6ca67e6faa-ModifiedWeather (1) -0.18120777292829
anneal (79) 0.96738460362973
TESTe4a276b0cf-pandas_testing_dataset (4) 0
TEST48f3ec321a-pandas_testing_dataset (1) -0.41580250953094
TESTb075985133-pandas_testing_dataset (3) 0.60858061945018
TEST9bde17c085-pandas_testing_dataset (3)
XOR (7) 0
TEST930682397f-pandas_testing_dataset (1) 0
TEST4e3eedc7d2-pandas_testing_dataset (1) -0.41580250953094
TEST3af90fc5e8-pandas_testing_dataset (3) 0.60858061945018
TEST5861a96af9-UploadTestWithURL (1) -0.23209732989137
anneal (39) 0.96738460362973
Weather (7) -0.18120777292829
anneal (43) 0.96738460362973
anneal (63) 0.96738460362973
TEST4e3eedc7d2-pandas_testing_dataset (3)
anneal (62) 0.96738460362973
anneal (76) 0.96738460362973
anneal (81) 0.96738460362973
anneal (74) 0.96738460362973
TESTa759ae6cbf-pandas_testing_dataset (3) 0.60858061945018
TEST67f486525d-XOR (1) 0
anneal (78) 0.96738460362973
TESTb075985133-pandas_testing_dataset (4) 0
anneal (82) 0.96738460362973
Weather (8) -0.18120777292829
anneal (75) 0.96738460362973
anneal (77) 0.96738460362973
anneal (83) 0.96738460362973
Diabetes(scikit-learn) (4) 0.20791661615071
TEST3af90fc5e8-pandas_testing_dataset (2) 0
XOR (8) -2
TEST3556189ac9-UploadTestWithURL (1) -0.23209732989137
anneal (66) 0.96738460362973
anneal (86) 0.96738460362973
anneal (90) 0.96738460362973
anneal (85) 0.96738460362973
Weather (10) -0.18120777292829
Diabetes(scikit-learn) (5) 0.20791661615071
XOR (9) 0
anneal (84) 0.96738460362973
TESTaae5145e5a-pandas_testing_dataset (1) 0
anneal (95) 0.96738460362973
Weather (9) -0.18120777292829
TEST659b6910a4-ModifiedWeather (1) -0.18120777292829
anneal (100) 0.96738460362973
anneal (97) 0.96738460362973
anneal (92) 0.96738460362973
Weather (12) -0.18120777292829
TESTaae5145e5a-pandas_testing_dataset (2) 0
TEST4f5a60c6fe-XOR (1) 0
XOR (11) 0
Weather (11) -0.18120777292829
TESTaae5145e5a-pandas_testing_dataset (4) 0
XOR (10) -2
anneal (103) 0.96738460362973
Diabetes(scikit-learn) (6) 0.20791661615071
anneal (89) 0.96738460362973
TESTd595e0f71b-pandas_testing_dataset (3)
anneal (101) 0.96738460362973
anneal (104) 0.96738460362973
anneal (107) 0.96738460362973
TEST41e4ee3472-pandas_testing_dataset (4) 0
TEST41e4ee3472-pandas_testing_dataset (3) 0.60858061945018
TEST0cc3a4aabf-pandas_testing_dataset (1) -0.41580250953094
TEST7385da85d0-XOR (1) 0
TEST107d885b90-pandas_testing_dataset (3)
TESTd595e0f71b-pandas_testing_dataset (2) -2
anneal (112) 0.96738460362973
TESTe5ab921db9-pandas_testing_dataset (3)
anneal (93) 0.96738460362973
TESTa70326ee04-pandas_testing_dataset (3) 0.60858061945018
anneal (115) 0.96738460362973
TEST5087cf3992-pandas_testing_dataset (3) 0.60858061945018
TESTde22fbf900-ModifiedWeather (1) -0.18120777292829
TEST300949fc4c-XOR (1) 0
TESTe5ab921db9-pandas_testing_dataset (2) -2
TESTd43f0f6683-pandas_testing_dataset (3) 0.60858061945018
TESTd43f0f6683-pandas_testing_dataset (1) 0
anneal (110) 0.96738460362973
anneal (124) 0.96738460362973
TESTe7d3072a9e-pandas_testing_dataset (3)
TESTba904bcd9a-ModifiedWeather (1) -0.18120777292829
TEST31791bfdd8-pandas_testing_dataset (1) -0.41580250953094
TEST5c956d87a7-XOR (1) 0
TESTd595e0f71b-pandas_testing_dataset (1) -0.41580250953094
TESTd43f0f6683-pandas_testing_dataset (2) 0
TEST5087cf3992-pandas_testing_dataset (1) 0
anneal (113) 0.96738460362973
TESTa70326ee04-pandas_testing_dataset (4) 0
anneal (99) 0.96738460362973
anneal (88) 0.96738460362973
TEST06657cce0d-ModifiedWeather (1) -0.18120777292829
TESTe7d3072a9e-pandas_testing_dataset (2) -2
TEST9c5326e45b-UploadTestWithURL (1) -0.23209732989137
anneal (122) 0.96738460362973
TEST393d571ed9-XOR (1) 0
anneal (119) 0.96738460362973
anneal (117) -0.13733042812365
TESTba19613b26-ModifiedWeather (1) -0.18120777292829
TESTd43f0f6683-pandas_testing_dataset (4) 0
TEST107d885b90-pandas_testing_dataset (1) -0.41580250953094
TESTe7d3072a9e-pandas_testing_dataset (1) -0.41580250953094
TEST5087cf3992-pandas_testing_dataset (4) 0
XOR (13) 0
TESTf267503cca-XOR (1) 0
XOR (15) 0
anneal (111) 0.96738460362973
Diabetes(scikit-learn) (8) 0.20791661615071
anneal (125) 0.96738460362973
TESTa70326ee04-pandas_testing_dataset (2) 0
anneal (114) 0.96738460362973
TEST534813403d-XOR (1) 0
Weather (16) -0.18120777292829
TEST104cefcf93-XOR (1) 0
TESTd2ce00f39d-UploadTestWithURL (1) -0.23209732989137
TEST44ce59e507-UploadTestWithURL (1) -0.23209732989137
TEST41e4ee3472-pandas_testing_dataset (1) 0
Weather (15) -0.18120777292829
TEST107d885b90-pandas_testing_dataset (2) -2
anneal (134) 0.96738460362973
TEST69f067a100-pandas_testing_dataset (3)
TEST6be6740770-XOR (1) 0
TEST13f574f33c-ModifiedWeather (1) -0.18120777292829
TEST8082298a9f-pandas_testing_dataset (2) 0
anneal (127) 0.96738460362973
anneal (128) 0.96738460362973
TEST8b50f94dd0-pandas_testing_dataset (1) -0.41580250953094
TEST35c4267650-XOR (1) 0
TESTe5ab921db9-pandas_testing_dataset (1) -0.41580250953094
TEST0b00a7fd2f-XOR (1) 0
TEST0380554bf7-pandas_testing_dataset (2) 0
TEST8b50f94dd0-pandas_testing_dataset (2) -2
Diabetes(scikit-learn) (10) 0.20791661615071
TEST68e83a7f94-pandas_testing_dataset (3)
TESTf835401612-pandas_testing_dataset (3)
TESTaeab31689e-UploadTestWithURL (1) -0.23209732989137
anneal (108) 0.96738460362973
TEST6f4f5ea7ed-ModifiedWeather (1) -0.18120777292829
anneal (141) 0.96738460362973
TESTf8293d7a08-pandas_testing_dataset (2) -2
anneal (131) 0.96738460362973
anneal (121) 0.96738460362973
anneal (129) 0.96738460362973
anneal (133) 0.96738460362973
XOR (12) -2
TESTb9afa86415-pandas_testing_dataset (3) 0.60858061945018
TEST8082298a9f-pandas_testing_dataset (1) 0
anneal (142) 0.96738460362973
TEST5087cf3992-pandas_testing_dataset (2) 0
anneal (143) 0.96738460362973
Weather (19) -0.18120777292829
TESTed97a7a3c7-ModifiedWeather (1) -0.18120777292829
XOR (17) 0
TESTc04561a900-XOR (1) 0
one-hundred-plants-shape (1) 0.62209436361043
TEST41e4ee3472-pandas_testing_dataset (2) 0
TESTf835401612-pandas_testing_dataset (2) -2
TEST65d4158d00-pandas_testing_dataset (1) 0
Bioresponse (1) 2.4800859702659
TEST69f067a100-pandas_testing_dataset (1) -0.41580250953094
TEST0d33c33299-XOR (1) 0
anneal (146) 0.96738460362973
anneal (145) 0.96738460362973
anneal (105) 0.96738460362973
TESTa7f4a278b1-pandas_testing_dataset (1) 0
XOR (19) 0
TEST65d4158d00-pandas_testing_dataset (3) 0.60858061945018
anneal (138) 0.96738460362973
anneal (151) 0.96738460362973
Diabetes(scikit-learn) (11) 0.20791661615071
TESTb9afa86415-pandas_testing_dataset (1) 0
TEST69f067a100-pandas_testing_dataset (2) -2
TEST65d4158d00-pandas_testing_dataset (2) 0
TESTe31c18ad94-XOR (1) 0
TEST8082298a9f-pandas_testing_dataset (3) 0.60858061945018
TESTa7f4a278b1-pandas_testing_dataset (4) 0
TESTa7f4a278b1-pandas_testing_dataset (2) 0
TEST0380554bf7-pandas_testing_dataset (1) 0
TEST7a1e9bfee8-UploadTestWithURL (1) -0.23209732989137
XOR (21) 0
anneal (120) 0.96738460362973
anneal (130) 0.96738460362973
TEST5f324b2a59-pandas_testing_dataset (3)
TESTa70326ee04-pandas_testing_dataset (1) 0
XOR (14) -2
TEST0032b11fc5-XOR (1) 0
anneal (140) 0.96738460362973
anneal (102) 0.96738460362973
anneal (136) 0.96738460362973
anneal (139) 0.96738460362973
TEST0817090897-pandas_testing_dataset (3)
TEST8082298a9f-pandas_testing_dataset (4) 0
TESTad4e03ac11-XOR (1) 0
TEST0817090897-pandas_testing_dataset (2) -2
TEST2abc4a67a5-XOR (1) 0
anneal (149) 0.96738460362973
TEST11a33fb394-ModifiedWeather (1) -0.18120777292829
Weather (23) -0.18120777292829
anneal (159) 0.96738460362973
anneal (157) 0.96738460362973
anneal (126) 0.96738460362973
TEST0817090897-pandas_testing_dataset (1) -0.41580250953094
TEST0380554bf7-pandas_testing_dataset (4) 0
TEST3ee36e8050-XOR (1) 0
anneal (137) 0.96738460362973
Weather (24) -0.18120777292829
anneal (148) 0.96738460362973
anneal (94) 0.96738460362973
anneal (162) 0.96738460362973
TESTaae5145e5a-pandas_testing_dataset (3) 0.60858061945018
Weather (21) -0.18120777292829
TEST5f324b2a59-pandas_testing_dataset (2) -2
TEST2aa7f500a9-pandas_testing_dataset (1) -0.41580250953094
TESTf8293d7a08-pandas_testing_dataset (1) -0.41580250953094
TEST5f324b2a59-pandas_testing_dataset (1) -0.41580250953094
TESTb9afa86415-pandas_testing_dataset (4) 0
TEST0380554bf7-pandas_testing_dataset (3) 0.60858061945018
anneal (156) 0.96738460362973
anneal (135) 0.96738460362973
anneal (150) 0.96738460362973
anneal (116) -0.13733042812365
XOR (22) -2
TESTf8293d7a08-pandas_testing_dataset (3)
TESTa7f4a278b1-pandas_testing_dataset (3) 0.60858061945018
TEST2c8d16b5fc-XOR (1) 0
XOR (16) -2
TEST468d7bc5fb-UploadTestWithURL (1) -0.23209732989137
anneal (160) 0.96738460362973
anneal (153) 0.96738460362973
anneal (147) -0.13733042812365
Weather (14) -0.18120777292829
Weather (17) -0.18120777292829
Weather (13) -0.18120777292829
TEST8b50f94dd0-pandas_testing_dataset (3)
XOR (24) -2
XOR (18) -2
XOR (20) -2
anneal (144) 0.96738460362973
anneal (154) 0.96738460362973
TEST65d4158d00-pandas_testing_dataset (4) 0
Weather (18) -0.18120777292829
Weather (20) -0.18120777292829
TEST5495fa0b29-ModifiedWeather (1) -0.18120777292829
TESTf835401612-pandas_testing_dataset (1) -0.41580250953094
Diabetes(scikit-learn) (7) 0.20791661615071
Diabetes(scikit-learn) (9) 0.20791661615071
Diabetes(scikit-learn) (12) 0.20791661615071
TESTe58a794a8e-XOR (1) 0
XOR (23) 0
anneal (158) 0.96738460362973
anneal (118) 0.96738460362973
anneal (109) 0.96738460362973
anneal (155) 0.96738460362973
anneal (164) 0.96738460362973
Weather (22) -0.18120777292829
TESTb9afa86415-pandas_testing_dataset (2) 0
synthetic_control (1) -0.047022302719756
gina_agnostic (1) 0.52221289860565
har (1) 0.15452664688591
cylinder-bands (2) -0.18459581102656
anneal (67) 0.96738460362973
anneal (165) 0.96738460362973
anneal (166) 0.96738460362973
anneal (170) 0.96738460362973
anneal (171) 0.96738460362973
Weather (25) -0.18120777292829
XOR (26) -2
Weather (26) -0.18120777292829
anneal (169) 0.96738460362973
anneal (167) 0.96738460362973
anneal (172) 0.96738460362973
Diabetes(scikit-learn) (13) 0.20791661615071
XOR (25) 0
climate-model-simulation-crashes (1) -0.00051537591739663
steel-plates-fault (1) 0.20962814019437
triazines (1) 0.7510090845964
satimage (1) -0.51709612594571
ada_agnostic (1) 2.0437418198759
anneal (177) 0.96738460362973
anneal (183) 0.96738460362973
anneal (174) 0.96738460362973
Weather (29) -0.18120777292829
Diabetes(scikit-learn) (15) 0.20791661615071
Weather (28) -0.18120777292829
anneal (189) 0.96738460362973
Diabetes(scikit-learn) (14) 0.20791661615071
anneal (175) 0.96738460362973
Weather (27) -0.18120777292829
anneal (186) 0.96738460362973
anneal (187) 0.96738460362973
anneal (179) 0.96738460362973
anneal (178) 0.96738460362973
XOR (28) -2
XOR (30) -2
XOR (27) 0
anneal (182) 0.96738460362973
anneal (173) 0.96738460362973
anneal (184) 0.96738460362973
anneal (188) 0.96738460362973
anneal (181) 0.96738460362973
Weather (30) -0.18120777292829
XOR (29) 0
scene (1) 0.050183882736315
qsar-biodeg (1) 1.4117810033993
texture (1) -0.28644949699938
Click_prediction_small (5) -0.27859108896098
jm1 (1) 9.9965259841315
anneal (192) 0.96738460362973
madelon (1) -0.0028560986952542
UNIX_user_data (1) 1.2444913076547
mbagrade (1) -0.16819140068264
sleep (1) 0.26655296799388
kc1 (1) 2.86981169567
splice (1)
electricity (1) -0.097739068549374
one-hundred-plants-margin (1) 1.1561920812268
anneal (202) 0.96738460362973
Weather (36) -0.18120777292829
anneal (190) 0.96738460362973
XOR (31) 0
anneal (193) 0.96738460362973
anneal (211) 0.96738460362973
anneal (201) 0.96738460362973
anneal (204) 0.96738460362973
Weather (34) -0.18120777292829
Diabetes(scikit-learn) (16) 0.20791661615071
XOR (33) 0
anneal (206) 0.96738460362973
anneal (209) 0.96738460362973
anneal (212) 0.96738460362973
anneal (216) 0.96738460362973
XOR (32) -2
Weather (35) -0.18120777292829
Weather (32) -0.18120777292829
Diabetes(scikit-learn) (17) 0.20791661615071
XOR (34) -2
XOR (36) -2
anneal (199) 0.96738460362973
Weather (33) -0.18120777292829
anneal (191) 0.96738460362973
anneal (198) 0.96738460362973
anneal (196) 0.96738460362973
anneal (197) 0.96738460362973
Diabetes(scikit-learn) (18) 0.20791661615071
XOR (35) 0
detroit (1) -0.088625034522435
anneal (194) 0.96738460362973
anneal (226) 0.96738460362973
XOR (38) -2
Weather (39) -0.18120777292829
XOR (40) -2
XOR (39) 0
Diabetes(scikit-learn) (20) 0.20791661615071
anneal (227) 0.96738460362973
anneal (217) 0.96738460362973
anneal (220) 0.96738460362973
anneal (231) 0.96738460362973
anneal (222) 0.96738460362973
anneal (205) 0.96738460362973
anneal (224) 0.96738460362973
anneal (233) 0.96738460362973
Weather (31) -0.18120777292829
anneal (210) 0.96738460362973
anneal (214) 0.96738460362973
anneal (229) 0.96738460362973
anneal (218) 0.96738460362973
anneal (232) 0.96738460362973
anneal (228) 0.96738460362973
XOR (37) 0
Weather (37) -0.18120777292829
Weather (38) -0.18120777292829
Weather (40) -0.18120777292829
mabbob_ela_as_2d_regression_DiagonalCMA (1) -0.031658982229186
anneal (200) 0.96738460362973
anneal (219) 0.96738460362973
mabbob_ela_as_2d_regression_RCobyla (1) 0.098357315342243
mabbob_ela_as_5d_classify (1) 0.35239060276669
mabbob_ela_as_2d_classify (2) 0.059661462900647
mabbob_ela_as_2d_regression_modcma (1) -0.031658982229186
mabbob_ela_as_5d_regression_DiagonalCMA (1) 0.13045286441197
mabbob_ela_as_5d_regression_RCobyla (1) 0.46100057607911
mabbob_ela_as_5d_regression_modcma (1) -0.0068284059291169
anneal (223) 0.96738460362973
mabbob_ela_as_2d_classify (1) 0.059661462900647
mabbob_ela_as_2d_classify (3) 0.059661462900647
mabbob_ela_as_5d_classify (2) 0.35239060276669
mabbob_ela_as_2d_regression_DifferentialEvolution (1) -0.031658982229186
mabbob_ela_as_2d_regression_modde (1) -0.031658982229186
mabbob_ela_as_5d_regression_DifferentialEvolution (1) 0.46100057607911
mabbob_ela_as_5d_regression_modde (1) 0.09314570183494
Diabetes(scikit-learn) (19) 0.20791661615071
mfeat-factors (1) -0.21902636740032
waveform-5000 (1) -0.024259506396659
fourclass_scale (1) -0.022038841115263
cpu_act (1) 1.7899976382351
diabetes_numeric (1) -0.96837113348974
letter (1) -0.13733042812365
anneal (234) 0.96738460362973
anneal (236) 0.96738460362973
anneal (235) 0.96738460362973
anneal (240) 0.96738460362973
anneal (241) 0.96738460362973
anneal (238) 0.96738460362973
Diabetes(scikit-learn) (21) 0.20791661615071
Weather (41) -0.18120777292829
Weather (42) -0.18120777292829
XOR (42) -2
XOR (41) 0
anneal (239) 0.96738460362973
test (5) -0.23209732989137
test (11) -0.23209732989137
test (6) -0.23209732989137
test (12) -0.23209732989137
pendigits (1) -0.42508968487808
pc1 (1) 5.6507964845623
musk (1) -0.20425951283081
mfeat-zernike (1) 0.3790488783634
pc3 (1) 2.6324202171108
MiceProtein (1) 0.030014956042017
test (9) -0.23209732989137
test (15) -0.23209732989137
test (1) -0.23209732989137
test (10) -0.23209732989137
test (14) -0.23209732989137
test (19) -0.23209732989137
test (17) -0.23209732989137
test (21) -0.23209732989137
test (22) -0.23209732989137
test (3) -0.23209732989137
test (18) -0.23209732989137
test (13) -0.23209732989137
test (16) -0.23209732989137
test (7) -0.23209732989137
test (2) -0.23209732989137
test (8) -0.23209732989137
test (23) -0.23209732989137
test (20) -0.23209732989137
test (4) -0.23209732989137
anneal (249) 0.96738460362973
anneal (256) 0.96738460362973
anneal (250) 0.96738460362973
anneal (251) 0.96738460362973
anneal (255) 0.96738460362973
anneal (254) 0.96738460362973
Weather (43) -0.18120777292829
XOR (44) -2
XOR (43) 0
Weather (44) -0.18120777292829
anneal (253) 0.96738460362973
test (24) -0.23209732989137
test (27) -0.23209732989137
Diabetes(scikit-learn) (22) 0.20791661615071
sylva_agnostic (1) 2.620580470841
pol (1) 1.8620080941903
analcatdata_authorship (1) 0.70381724842964
nomao (1) -4.3890571573287
mfeat-pixel (1)
optdigits (1) -0.32992700595175
isolet (1) -0.58451818363459
artificial-characters (1) 0.34812377548063
cardiotocography (1) 0.1157840211416
gas-drift (1) -2.2867418710627
anneal (269) 0.96738460362973
anneal (265) 0.96738460362973
anneal (266) 0.96738460362973
anneal (270) 0.96738460362973
Weather (46) -0.18120777292829
Diabetes(scikit-learn) (23) 0.20791661615071
anneal (267) 0.96738460362973
anneal (271) 0.96738460362973
anneal (272) 0.96738460362973
Weather (45) -0.18120777292829
XOR (46) -2
XOR (45) 0
semeion (1) 0.44814843841223
hill-valley (1) 2.9693361393547
cjs (3) 0.4116820727636
one-hundred-plants-texture (1) 2.2469798069261
anneal (275) 0.96738460362973
anneal (273) 0.96738460362973
anneal (279) 0.96738460362973
anneal (276) 0.96738460362973
anneal (274) 0.96738460362973
Weather (47) -0.18120777292829
Weather (48) -0.18120777292829
Diabetes(scikit-learn) (24) 0.20791661615071
XOR (48) -2
anneal (278) 0.96738460362973
anneal (281) 0.96738460362973
XOR (47) 0
test (28) -0.23209732989137
test (29) -0.23209732989137
test (30) -0.23209732989137
test (31) -0.23209732989137
car (1)
cmc (1) 0.25644920548189
credit-a (1) 1.4030827323877
test (43) -0.23209732989137
test (34) -0.23209732989137
test (42) -0.23209732989137
test (38) -0.23209732989137
test (41) -0.23209732989137
test (32) -0.23209732989137
test (33) -0.23209732989137
test (40) -0.23209732989137
test (44) -0.23209732989137
test (36) -0.23209732989137
test (35) -0.23209732989137
test (39) -0.23209732989137
test (45) -0.23209732989137
test (37) -0.23209732989137
segment (1) 0.6910972018286
vehicle (1) 0.25440457202988
abalone (1) -0.6091981423291
eucalyptus (1) -0.39608001650471
vowel (2) -0.0062226049576874
monks-problems-2 (1)
profb (1) -0.0080588697628511
banknote-authentication (1) -0.86520815139814
blood-transfusion-service-center (1) 1.0322036011463
phoneme (1) 0.34288338170102
dresses-sales (2) -1.1647649580554
LED-display-domain-7digit (1) -1.0623385393261
Australian (3) -0.26100672563775
kin8nm (1) -0.0055710959998018
auto_price (1) 0.15642235665281
autoMpg (1) 0.36792159431041
fruitfly (1) -0.63805738535367
pbc (1) 0.47260205067593
lowbwt (1) -0.21017096945202
cholesterol (1) -0.20906046882013
autoPrice (1) 0.15029473050871
cloud (1) 1.0161945756314
breast-w (1) 1.0449923682056
tic-tac-toe (1)
monks-problems-3 (1)
JapaneseVowels (1) -0.27264687767183
irish (1) -0.080037426836167
tamilnadu-electricity (1) -0.0081847243779029
wilt (1) -0.28282134948336
PhishingWebsites (1)
GesturePhaseSegmentationProcessed (1) -0.52906743474649
bolts (1) 0
pharynx (1) -0.026708780535488
mfeat-fourier (1) 0.40899076362777
mushroom (1)
bank-marketing (1) 0.68481792572522
micro-mass (2) 8.3426888629287
MagicTelescope (1) -0.17151941301349
wall-robot-navigation (1) 0.72358066750344
wdbc (1) 0.97858271196303
test (46) -0.23209732989137
test (47) -0.23209732989137
anneal (304) 0.96738460362973
Weather (49) -0.18120777292829
XOR (50) -2
anneal (298) 0.96738460362973
anneal (296) 0.96738460362973
anneal (299) 0.96738460362973
anneal (301) 0.96738460362973
anneal (302) 0.96738460362973
Weather (50) -0.18120777292829
test (48) -0.23209732989137
Diabetes(scikit-learn) (25) 0.20791661615071
XOR (49) 0
anneal (297) 0.96738460362973
spambase (1) 5.8507230150661
pc4 (1) 2.8161318073942
cnae-9 (1) 14.614985291676
first-order-theorem-proving (1) 1.3330441633458
ilpd (1) -0.036535020628589
adult (2) 0.099931028736652
cleveland (1) -0.20906046882013
delta_elevators (1) -0.17307352053359
mfeat-morphological (1) 0.21477131477249
sick (1) 1.2589465934783
analcatdata_dmft (1)
Amazon_employee_access (1)
mozilla4 (1) -0.17879911994736
wisconsin (1) 0.58156198848406
vineyard (1) -1.156232682172
monks-problems-1 (1)
ozone-level-8hr (1) -0.65360462999439
anneal (305) 0.96738460362973
anneal (309) 0.96738460362973
anneal (320) 0.96738460362973
anneal (311) 0.96738460362973
collins (1) 0.5431345075805
kc2 (1) 5.4762058681495
longley (1) -0.16200100816841
kr-vs-kp (1)
balance-scale (1) 0
diabetes (1) -0.29439306721971
quake (1) -0.6319242861249
iris (1) -0.23209732989137
anneal (330) 0.96738460362973
Weather (51) -0.18120777292829
anneal (326) 0.96738460362973
anneal (315) 0.96738460362973
anneal (312) 0.96738460362973
anneal (317) 0.96738460362973
anneal (331) 0.96738460362973
anneal (1) 0.96738460362973
eeg-eye-state (1) 22.47502689367
anneal (321) 0.96738460362973
Diabetes(scikit-learn) (26) 0.20791661615071
anneal (308) 0.96738460362973
anneal (306) 0.96738460362973
anneal (328) 0.96738460362973
anneal (310) 0.96738460362973
anneal (314) 0.96738460362973
anneal (313) 0.96738460362973
Weather (52) -0.18120777292829
XOR (52) -2
anneal (318) 0.96738460362973
anneal (307) 0.96738460362973
anneal (332) 0.96738460362973
anneal (323) 0.96738460362973
anneal (327) 0.96738460362973
anneal (316) 0.96738460362973
anneal (322) 0.96738460362973
anneal (325) 0.96738460362973
XOR (51) 0
anneal (319) 0.96738460362973
anneal (333) 0.96738460362973
anneal (324) 0.96738460362973