Measure

Quartile1MeansOfNumericAtts

First quartile of means among attributes of the numeric type.

Value per dataset

anneal (3) 3.025695155902
anneal (4) 3.025695155902
iris-challenge (1) 1.6625
anneal (6) 3.025695155902
iris (2) 1.6625
anneal (7) 3.025695155902
web_questionsQA (1)
anneal (5) 3.025695155902
anneal (2) 3.025695155902
anneal (17) 3.025695155902
anneal (16) 3.025695155902
anneal (8) 3.025695155902
anneal (9) 3.025695155902
anneal (10) 3.025695155902
anneal (12) 3.025695155902
anneal (11) 3.025695155902
anneal (13) 3.025695155902
TEST0f75339a9c-XOR (1) 0.5
anneal (18) 3.025695155902
anneal (14) 3.025695155902
anneal (21) 3.025695155902
anneal (20) 3.025695155902
anneal (23) 3.025695155902
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) 3.025695155902
TESTc12a586b90-pandas_testing_dataset (3) 0.4
TESTc12a586b90-pandas_testing_dataset (2) 0.4
TESTb07cf9b053-XOR (1) 0.5
anneal (32) 3.025695155902
anneal (28) 3.025695155902
anneal (22) 3.025695155902
anneal (35) 3.025695155902
anneal (27) 3.025695155902
anneal (30) 3.025695155902
anneal (26) 3.025695155902
Diabetes(scikit-learn) (1) -2.6719451186539E-17
anneal (29) 3.025695155902
anneal (31) 3.025695155902
anneal (37) 3.025695155902
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) 3.025695155902
Weather (2) 73.571428571429
anneal (24) 3.025695155902
anneal (41) 3.025695155902
mfeat-karhunen (1) -0.2984167951875
anneal (38) 3.025695155902
anneal (50) 3.025695155902
TESTfeb0eb848e-pandas_testing_dataset (3)
anneal (40) 3.025695155902
TESTa675afdd91-pandas_testing_dataset (3)
anneal (49) 3.025695155902
anneal (46) 3.025695155902
anneal (53) 3.025695155902
anneal (47) 3.025695155902
Weather (3) 73.571428571429
XOR (3) 0.5
XOR (4) 0.25
anneal (42) 3.025695155902
anneal (48) 3.025695155902
anneal (51) 3.025695155902
anneal (55) 3.025695155902
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) 3.025695155902
Diabetes(scikit-learn) (2) -2.6719451186539E-17
TEST08cae6fca0-XOR (1) 0.5
XOR (5) 0.5
TESTb327ca7de9-XOR (1) 0.5
TESTe551bfc9c4-XOR (1) 0.5
anneal (57) 3.025695155902
TEST9b725c857e-pandas_testing_dataset (2) 0.5
anneal (58) 3.025695155902
TESTd5d5774b51-XOR (1) 0.5
anneal (69) 3.025695155902
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) 4.1748125
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) 3.025695155902
TEST8451297d53-UploadTestWithURL (1) 1.6625
TEST9b725c857e-pandas_testing_dataset (3)
Diabetes(scikit-learn) (3) -2.6719451186539E-17
TEST541c23ce86-UploadTestWithURL (1) 1.6625
TEST9bde17c085-pandas_testing_dataset (2) 0.5
anneal (60) 3.025695155902
anneal (70) 3.025695155902
TESTb7b2b01540-XOR (1) 0.5
anneal (61) 3.025695155902
anneal (64) 3.025695155902
anneal (71) 4.1748125
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) 3.025695155902
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) 1.407
TEST43ba10d105-pandas_testing_dataset (4) 0.4
TEST930682397f-pandas_testing_dataset (3) 0.4
anneal (65) 3.025695155902
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) 3.025695155902
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) 1.6625
anneal (39) 3.025695155902
Weather (7) 73.571428571429
anneal (43) 3.025695155902
anneal (63) 3.025695155902
TEST4e3eedc7d2-pandas_testing_dataset (3)
anneal (62) 3.025695155902
anneal (76) 3.025695155902
anneal (81) 3.025695155902
anneal (74) 3.025695155902
TESTa759ae6cbf-pandas_testing_dataset (3) 0.4
TEST67f486525d-XOR (1) 0.5
anneal (78) 3.025695155902
TESTb075985133-pandas_testing_dataset (4) 0.4
anneal (82) 3.025695155902
Weather (8) 73.571428571429
anneal (75) 3.025695155902
anneal (77) 3.025695155902
anneal (83) 3.025695155902
Diabetes(scikit-learn) (4) -2.6719451186539E-17
TEST3af90fc5e8-pandas_testing_dataset (2) 0.4
XOR (8) 0.25
TEST3556189ac9-UploadTestWithURL (1) 1.6625
anneal (66) 3.025695155902
anneal (86) 3.025695155902
anneal (90) 3.025695155902
anneal (85) 3.025695155902
Weather (10) 73.571428571429
Diabetes(scikit-learn) (5) -2.6719451186539E-17
XOR (9) 0.5
anneal (84) 3.025695155902
TESTaae5145e5a-pandas_testing_dataset (1) 0.4
anneal (95) 3.025695155902
Weather (9) 73.571428571429
TEST659b6910a4-ModifiedWeather (1) 73.571428571429
anneal (100) 3.025695155902
anneal (97) 3.025695155902
anneal (92) 3.025695155902
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) 3.025695155902
Diabetes(scikit-learn) (6) -2.6719451186539E-17
anneal (89) 3.025695155902
TESTd595e0f71b-pandas_testing_dataset (3)
anneal (101) 3.025695155902
anneal (104) 3.025695155902
anneal (107) 3.025695155902
TEST41e4ee3472-pandas_testing_dataset (4) 0.4
TEST41e4ee3472-pandas_testing_dataset (3) 0.4
hill-valley (1) 8140.3678712871
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) 3.025695155902
TESTe5ab921db9-pandas_testing_dataset (3)
anneal (93) 3.025695155902
TESTa70326ee04-pandas_testing_dataset (3) 0.4
anneal (115) 3.025695155902
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) 3.025695155902
anneal (124) 3.025695155902
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) 3.025695155902
TESTa70326ee04-pandas_testing_dataset (4) 0.4
anneal (99) 3.025695155902
anneal (88) 3.025695155902
TEST06657cce0d-ModifiedWeather (1) 73.571428571429
TESTe7d3072a9e-pandas_testing_dataset (2) 0.5
TEST9c5326e45b-UploadTestWithURL (1) 1.6625
anneal (122) 3.025695155902
TEST393d571ed9-XOR (1) 0.5
anneal (119) 3.025695155902
anneal (117) 4.1748125
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) 3.025695155902
Diabetes(scikit-learn) (8) -2.6719451186539E-17
anneal (125) 3.025695155902
TESTa70326ee04-pandas_testing_dataset (2) 0.4
anneal (114) 3.025695155902
TEST534813403d-XOR (1) 0.5
Weather (16) 73.571428571429
TEST104cefcf93-XOR (1) 0.5
TESTd2ce00f39d-UploadTestWithURL (1) 1.6625
TEST44ce59e507-UploadTestWithURL (1) 1.6625
TEST41e4ee3472-pandas_testing_dataset (1) 0.4
Weather (15) 73.571428571429
TEST107d885b90-pandas_testing_dataset (2) 0.5
anneal (134) 3.025695155902
TEST69f067a100-pandas_testing_dataset (3)
TEST6be6740770-XOR (1) 0.5
TEST13f574f33c-ModifiedWeather (1) 73.571428571429
TEST8082298a9f-pandas_testing_dataset (2) 0.4
anneal (127) 3.025695155902
anneal (128) 3.025695155902
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) -2.6719451186539E-17
TEST68e83a7f94-pandas_testing_dataset (3)
TESTf835401612-pandas_testing_dataset (3)
TESTaeab31689e-UploadTestWithURL (1) 1.6625
anneal (108) 3.025695155902
TEST6f4f5ea7ed-ModifiedWeather (1) 73.571428571429
anneal (141) 3.025695155902
TESTf8293d7a08-pandas_testing_dataset (2) 0.5
anneal (131) 3.025695155902
anneal (121) 3.025695155902
anneal (129) 3.025695155902
anneal (133) 3.025695155902
XOR (12) 0.25
TESTb9afa86415-pandas_testing_dataset (3) 0.4
TEST8082298a9f-pandas_testing_dataset (1) 0.4
anneal (142) 3.025695155902
TEST5087cf3992-pandas_testing_dataset (2) 0.4
anneal (143) 3.025695155902
Weather (19) 73.571428571429
TESTed97a7a3c7-ModifiedWeather (1) 73.571428571429
XOR (17) 0.5
TESTc04561a900-XOR (1) 0.5
one-hundred-plants-shape (1) 0.00054906953125
TEST41e4ee3472-pandas_testing_dataset (2) 0.4
TESTf835401612-pandas_testing_dataset (2) 0.5
TEST65d4158d00-pandas_testing_dataset (1) 0.4
Bioresponse (1) 0.0064871589753399
TEST69f067a100-pandas_testing_dataset (1) 77.2
TEST0d33c33299-XOR (1) 0.5
anneal (146) 3.025695155902
anneal (145) 3.025695155902
cjs (3) 1.1882352941176
anneal (105) 3.025695155902
TESTa7f4a278b1-pandas_testing_dataset (1) 0.4
XOR (19) 0.5
TEST65d4158d00-pandas_testing_dataset (3) 0.4
anneal (138) 3.025695155902
anneal (151) 3.025695155902
Diabetes(scikit-learn) (11) -2.6719451186539E-17
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) 1.6625
XOR (21) 0.5
anneal (120) 3.025695155902
anneal (130) 3.025695155902
TEST5f324b2a59-pandas_testing_dataset (3)
TESTa70326ee04-pandas_testing_dataset (1) 0.4
XOR (14) 0.25
TEST0032b11fc5-XOR (1) 0.5
anneal (140) 3.025695155902
anneal (102) 3.025695155902
anneal (136) 3.025695155902
anneal (139) 3.025695155902
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) 3.025695155902
TEST11a33fb394-ModifiedWeather (1) 73.571428571429
Weather (23) 73.571428571429
anneal (159) 3.025695155902
anneal (157) 3.025695155902
anneal (126) 3.025695155902
TEST0817090897-pandas_testing_dataset (1) 77.2
TEST0380554bf7-pandas_testing_dataset (4) 0.4
TEST3ee36e8050-XOR (1) 0.5
anneal (137) 3.025695155902
Weather (24) 73.571428571429
anneal (148) 3.025695155902
anneal (94) 3.025695155902
anneal (162) 3.025695155902
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) 3.025695155902
anneal (135) 3.025695155902
anneal (150) 3.025695155902
anneal (116) 4.1748125
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) 1.6625
anneal (160) 3.025695155902
anneal (153) 3.025695155902
anneal (147) 4.1748125
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) 3.025695155902
anneal (154) 3.025695155902
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) -2.6719451186539E-17
Diabetes(scikit-learn) (9) -2.6719451186539E-17
Diabetes(scikit-learn) (12) -2.6719451186539E-17
TESTe58a794a8e-XOR (1) 0.5
XOR (23) 0.5
anneal (158) 3.025695155902
anneal (118) 3.025695155902
anneal (109) 3.025695155902
anneal (155) 3.025695155902
anneal (164) 3.025695155902
Weather (22) 73.571428571429
TESTb9afa86415-pandas_testing_dataset (2) 0.4
semeion (1) 0.25878844946642
synthetic_control (1) 29.729358858333
gina_agnostic (1) 11.60604094579
MagicTelescope (1) 0.24095875131441
one-hundred-plants-texture (1) 0.010456374452783
spambase (1) 0.064793523147141
cnae-9 (1) 0.00092592592592593
har (1) -0.8685016383144
cylinder-bands (2) 2.1292777467606
anneal (67) 3.025695155902
anneal (165) 3.025695155902
anneal (166) 3.025695155902
anneal (170) 3.025695155902
anneal (171) 3.025695155902
Weather (25) 73.571428571429
XOR (26) 0.25
Weather (26) 73.571428571429
anneal (169) 3.025695155902
anneal (167) 3.025695155902
anneal (172) 3.025695155902
Diabetes(scikit-learn) (13) -2.6719451186539E-17
XOR (25) 0.5
analcatdata_authorship (1) 3.1272294887039
climate-model-simulation-crashes (1) 0.49998847361111
wdbc (1) 0.059327993848858
Amazon_employee_access (1)
GesturePhaseSegmentationProcessed (1) -7.2940241061481E-7
pol (1) 0
steel-plates-fault (1) 0.20427614631633
triazines (1) 0.12150537634409
cardiotocography (1) 0.12605832549388
PhishingWebsites (1)
satimage (1) -0.00074377099533442
ada_agnostic (1) 0.032003507233669
anneal (177) 3.025695155902
anneal (183) 3.025695155902
anneal (174) 3.025695155902
Weather (29) 73.571428571429
Diabetes(scikit-learn) (15) -2.6719451186539E-17
Weather (28) 73.571428571429
anneal (189) 3.025695155902
Diabetes(scikit-learn) (14) -2.6719451186539E-17
anneal (175) 3.025695155902
Weather (27) 73.571428571429
anneal (186) 3.025695155902
anneal (187) 3.025695155902
anneal (179) 3.025695155902
anneal (178) 3.025695155902
XOR (28) 0.25
XOR (30) 0.25
XOR (27) 0.5
anneal (182) 3.025695155902
anneal (173) 3.025695155902
anneal (184) 3.025695155902
anneal (188) 3.025695155902
anneal (181) 3.025695155902
Weather (30) 73.571428571429
XOR (29) 0.5
scene (1) 0.12509031512256
qsar-biodeg (1) 0.10189573459716
texture (1) -0.70752004545455
Click_prediction_small (5) 2.0301141483929
ozone-level-8hr (1) 1.8374475797159
jm1 (1) 3.7013229214515
wall-robot-navigation (1) 1.2694878115836
anneal (192) 3.025695155902
gas-drift (1) -4.7718696124011
madelon (1) 480.05153846154
UNIX_user_data (1) 885.17406593408
mbagrade (1) 3.290393442623
wisconsin (1) 0.088792293814433
sleep (1) 2.6774193548387
mozilla4 (1) 217.29157285301
tamilnadu-electricity (1) 0.49963933946397
kc1 (1) 1.7170222854433
splice (1)
artificial-characters (1) 6.0614601683304
electricity (1) 0.057868310138595
one-hundred-plants-margin (1) 0.00862147234375
anneal (202) 3.025695155902
Weather (36) 73.571428571429
anneal (190) 3.025695155902
XOR (31) 0.5
anneal (193) 3.025695155902
anneal (211) 3.025695155902
anneal (201) 3.025695155902
anneal (204) 3.025695155902
Weather (34) 73.571428571429
Diabetes(scikit-learn) (16) -2.6719451186539E-17
XOR (33) 0.5
anneal (206) 3.025695155902
anneal (209) 3.025695155902
anneal (212) 3.025695155902
anneal (216) 3.025695155902
XOR (32) 0.25
Weather (35) 73.571428571429
Weather (32) 73.571428571429
Diabetes(scikit-learn) (17) -2.6719451186539E-17
XOR (34) 0.25
XOR (36) 0.25
anneal (199) 3.025695155902
Weather (33) 73.571428571429
anneal (191) 3.025695155902
anneal (198) 3.025695155902
anneal (196) 3.025695155902
anneal (197) 3.025695155902
Diabetes(scikit-learn) (18) -2.6719451186539E-17
XOR (35) 0.5
detroit (1) 41.463653846154
anneal (194) 3.025695155902
anneal (226) 3.025695155902
XOR (38) 0.25
Weather (39) 73.571428571429
XOR (40) 0.25
XOR (39) 0.5
Diabetes(scikit-learn) (20) -2.6719451186539E-17
anneal (227) 3.025695155902
anneal (217) 3.025695155902
anneal (220) 3.025695155902
anneal (231) 3.025695155902
anneal (222) 3.025695155902
anneal (205) 3.025695155902
anneal (224) 3.025695155902
anneal (233) 3.025695155902
Weather (31) 73.571428571429
anneal (210) 3.025695155902
anneal (214) 3.025695155902
anneal (229) 3.025695155902
anneal (218) 3.025695155902
anneal (232) 3.025695155902
anneal (228) 3.025695155902
XOR (37) 0.5
Weather (37) 73.571428571429
Weather (38) 73.571428571429
Weather (40) 73.571428571429
mabbob_ela_as_2d_regression_DiagonalCMA (1) -0.020706807007574
anneal (200) 3.025695155902
anneal (219) 3.025695155902
mabbob_ela_as_2d_regression_RCobyla (1) -0.020706807007574
mabbob_ela_as_5d_classify (1) -0.10524817502172
mabbob_ela_as_2d_classify (2) -0.058909761965481
mabbob_ela_as_2d_regression_modcma (1) -0.020706807007574
mabbob_ela_as_5d_regression_DiagonalCMA (1) -0.050770206801705
mabbob_ela_as_5d_regression_RCobyla (1) -0.050770206801705
mabbob_ela_as_5d_regression_modcma (1) -0.050770206801705
anneal (223) 3.025695155902
mabbob_ela_as_2d_classify (1) -0.058909761965481
mabbob_ela_as_2d_classify (3) -0.058909761965481
mabbob_ela_as_5d_classify (2) -0.10524817502172
mabbob_ela_as_2d_regression_DifferentialEvolution (1) -0.020706807007574
mabbob_ela_as_2d_regression_modde (1) -0.020706807007574
mabbob_ela_as_5d_regression_DifferentialEvolution (1) -0.050770206801705
mabbob_ela_as_5d_regression_modde (1) -0.050770206801705
Diabetes(scikit-learn) (19) -2.6719451186539E-17
mfeat-factors (1) 14.118125
mfeat-fourier (1) 0.0863261346625
waveform-5000 (1) -0.00098899999999999
fourclass_scale (1) -0.2877030162413
cpu_act (1) 7.7027774047852
diabetes_numeric (1) -8.1488372093023
letter (1) 4.1748125
nomao (1) 0.66430649921659
adult (2) 31.502211211662
anneal (234) 3.025695155902
anneal (236) 3.025695155902
anneal (235) 3.025695155902
anneal (240) 3.025695155902
anneal (241) 3.025695155902
anneal (238) 3.025695155902
Diabetes(scikit-learn) (21) -2.6719451186539E-17
Weather (41) 73.571428571429
Weather (42) 73.571428571429
XOR (42) 0.25
XOR (41) 0.5
anneal (239) 3.025695155902
test (5) 1.6625
test (11) 1.6625
test (6) 1.6625
test (12) 1.6625
mfeat-morphological (1) 0.65824999999999
car (1)
cmc (1) 3.2613713509844
credit-a (1) 2.3558514492754
segment (1) 0.0143338
tic-tac-toe (1)
vehicle (1) 35.846040189125
abalone (1) 0.18059360785253
eucalyptus (1) 2.8829085457271
vowel (2) -0.35618560606061
monks-problems-1 (1)
monks-problems-2 (1)
monks-problems-3 (1)
JapaneseVowels (1) -0.21397178523743
irish (1) 38.934599156118
analcatdata_dmft (1)
profb (1) 7.0963541666667
banknote-authentication (1) -0.78530857653061
blood-transfusion-service-center (1) 6.5127005347594
phoneme (1) -3.82124352773E-8
wilt (1) 70.39366917142
dresses-sales (2) 3.5286
LED-display-domain-7digit (1) 0.59
Australian (3) -0.82298201123188
kin8nm (1) -0.0084651754379732
cleveland (1) 0.93729372937294
auto_price (1) 26.522012578616
autoMpg (1) 19.541331658291
delta_elevators (1) -0.28988126510455
fruitfly (1) 0.82096
pbc (1) 10.731730769231
lowbwt (1) 23.238095238095
cholesterol (1) 0.93729372937294
autoPrice (1) 14.251352201258
mushroom (1)
pendigits (1) 35.906363719068
sick (1) 1.7588748012696
isolet (1) -0.14370138514813
sylva_agnostic (1) 0.0032997568600209
pc1 (1) 4.0087466185753
musk (1) -87.327561382237
first-order-theorem-proving (1) -0.0081597994442654
ilpd (1) 2.3139794168096
micro-mass (2) 681.19912169264
bolts (1) 2
optdigits (1) 0.26103202846975
pc4 (1) 1.4681069958848
mfeat-zernike (1) 7.537383493435
pc3 (1) 1.4418586052463
bank-marketing (1) 2.7638406582469
MiceProtein (1) 0.19428705660104
test (9) 1.6625
test (15) 1.6625
test (1) 1.6625
test (10) 1.6625
test (14) 1.6625
test (19) 1.6625
test (17) 1.6625
test (21) 1.6625
test (22) 1.6625
test (3) 1.6625
cloud (1) 1.2097453703704
pharynx (1) 60.435897435897
breast-w (1) 2.8369098712446
test (18) 1.6625
test (13) 1.6625
test (16) 1.6625
test (7) 1.6625
test (2) 1.6625
test (8) 1.6625
test (23) 1.6625
test (20) 1.6625
test (4) 1.6625
collins (1) 0.63472
kc2 (1) 3.0486590038314
longley (1) 1954.5
kr-vs-kp (1)
balance-scale (1) 3
diabetes (1) 8.0179036458333
quake (1) 6.4733849862259
iris (1) 1.6625
anneal (1) 3.025695155902
eeg-eye-state (1) 4193.0792565087
anneal (249) 3.025695155902
anneal (256) 3.025695155902
anneal (250) 3.025695155902
anneal (251) 3.025695155902
anneal (255) 3.025695155902
anneal (254) 3.025695155902
Weather (43) 73.571428571429
XOR (44) 0.25
XOR (43) 0.5
Weather (44) 73.571428571429
anneal (253) 3.025695155902
Diabetes(scikit-learn) (22) -2.6719451186539E-17