Measure

MinStdDevOfNumericAtts

Minimum standard deviation of attributes of the numeric type.

Value per dataset

triazines (1) 0
anneal (8) 0.87120828097189
anneal (4) 0.87120828097189
anneal (2) 0.87120828097189
XOR (1) 0.57735026918963
Weather (1) 6.5716674586297
web_questionsQA (1)
anneal (6) 0.87120828097189
anneal (7) 0.87120828097189
Weather (2) 6.5716674586297
TEST9e3886e694-XOR (1) 0.57735026918963
iris (2) 0.43359431136217
anneal (12) 0.87120828097189
anneal (14) 1.54672243632
TESTc7ba0dcb5a-XOR (1) 0.57735026918963
TESTed4a84a4bb-pandas_testing_dataset (2) 0.5
test (6) 0.43359431136217
TEST51ef687b9d-pandas_testing_dataset (2) 0.54772255750517
Diabetes(scikit-learn) (1) 0.047619047619048
anneal (13) 0.87120828097189
TESTb633b550cf-pandas_testing_dataset (1) 5.9833101206606
test (4) 0.43359431136217
TEST51ef687b9d-pandas_testing_dataset (1) 0.54772255750517
TESTed4a84a4bb-pandas_testing_dataset (1) 5.9833101206606
test (3) 0.43359431136217
test (1) 0.43359431136217
test (2) 0.43359431136217
TEST51ef687b9d-pandas_testing_dataset (4) 0.54772255750517
anneal (9) 0.87120828097189
TESTaf99b42041-ModifiedWeather (1) 6.5716674586297
XOR (2) 0.5
test (9) 0.43359431136217
anneal (17) 0.87120828097189
test (7) 0.43359431136217
TESTe216022baf-UploadTestWithURL (1) 0.43359431136217
iris-challenge (1) 0.43359431136217
TEST8facacd8dc-UploadTestWithURL (1) 0.43359431136217
test (10) 0.43359431136217
test (14) 0.43359431136217
test (5) 0.43359431136217
test (13) 0.43359431136217
test (12) 0.43359431136217
TEST51ef687b9d-pandas_testing_dataset (3) 0.54772255750517
TESTed4a84a4bb-pandas_testing_dataset (3)
anneal (3) 0.87120828097189
anneal (23) 0.87120828097189
TEST0ea351d931-pandas_testing_dataset (1) 0.54772255750517
anneal (24) 0.87120828097189
anneal (18) 0.87120828097189
test (11) 0.43359431136217
test (8) 0.43359431136217
anneal (26) 0.87120828097189
anneal (27) 0.87120828097189
anneal (39) 0.87120828097189
anneal (43) 0.87120828097189
anneal (63) 0.87120828097189
test (16) 0.43359431136217
TEST840571e677-pandas_testing_dataset (1) 5.9833101206606
anneal (58) 0.87120828097189
Weather (6) 6.5716674586297
anneal (62) 0.87120828097189
anneal (30) 0.87120828097189
test (24) 0.43359431136217
test (20) 0.43359431136217
anneal (66) 0.87120828097189
anneal (34) 0.87120828097189
anneal (38) 0.87120828097189
anneal (41) 0.87120828097189
Weather (3) 6.5716674586297
XOR (4) 0.5
Weather (4) 6.5716674586297
Weather (8) 6.5716674586297
test (19) 0.43359431136217
test (21) 0.43359431136217
Diabetes(scikit-learn) (3) 0.047619047619048
XOR (3) 0.57735026918963
anneal (48) 0.87120828097189
XOR (6) 0.5
test (27) 0.43359431136217
XOR (5) 0.57735026918963
spambase (1) 0.076274270637249
anneal (49) 0.87120828097189
test (33) 0.43359431136217
anneal (32) 0.87120828097189
anneal (45) 0.87120828097189
anneal (16) 0.87120828097189
anneal (57) 0.87120828097189
Weather (5) 6.5716674586297
test (26) 0.43359431136217
XOR (7) 0.57735026918963
test (36) 0.43359431136217
test (23) 0.43359431136217
anneal (59) 0.87120828097189
test (28) 0.43359431136217
anneal (42) 0.87120828097189
anneal (33) 0.87120828097189
test (15) 0.43359431136217
anneal (37) 0.87120828097189
anneal (53) 0.87120828097189
anneal (25) 0.87120828097189
anneal (56) 0.87120828097189
test (39) 0.43359431136217
TEST2fe1e97c97-pandas_testing_dataset (1) 0.54772255750517
test (35) 0.43359431136217
test (29) 0.43359431136217
test (31) 0.43359431136217
anneal (52) 0.87120828097189
Diabetes(scikit-learn) (4) 0.047619047619048
anneal (54) 0.87120828097189
Weather (7) 6.5716674586297
test (22) 0.43359431136217
test (38) 0.43359431136217
test (32) 0.43359431136217
test (18) 0.43359431136217
Diabetes(scikit-learn) (2) 0.047619047619048
vineyard (1) 1.938802595748
anneal (31) 0.87120828097189
Weather (9) 6.5716674586297
Diabetes(scikit-learn) (5) 0.047619047619048
TESTccda34c750-pandas_testing_dataset (1) 5.9833101206606
anneal (74) 0.87120828097189
Weather (11) 6.5716674586297
anneal (61) 0.87120828097189
test (17) 0.43359431136217
TEST22dd0ebd9b-ModifiedWeather (1) 6.5716674586297
anneal (36) 0.87120828097189
test (43) 0.43359431136217
XOR (9) 0.57735026918963
anneal (89) 0.87120828097189
TESTee7d03de92-pandas_testing_dataset (1) 5.9833101206606
anneal (77) 0.87120828097189
anneal (84) 0.87120828097189
TEST76d8cfa095-pandas_testing_dataset (1) 0.54772255750517
XOR (10) 0.5
autoPrice (1) 0.26733562895372
quake (1) 0.18942638883499
TEST5f1dfbd75d-pandas_testing_dataset (1) 0.54772255750517
anneal (95) 0.87120828097189
anneal (80) 0.87120828097189
test (40) 0.43359431136217
TESTda410c34dc-pandas_testing_dataset (2) 0.54772255750517
TEST398fcda80b-ModifiedWeather (1) 6.5716674586297
TEST7e318eb969-pandas_testing_dataset (3)
Weather (10) 6.5716674586297
test (41) 0.43359431136217
TEST76d8cfa095-pandas_testing_dataset (3) 0.54772255750517
test (49) 0.43359431136217
Diabetes(scikit-learn) (6) 0.047619047619048
TESTda410c34dc-pandas_testing_dataset (3) 0.54772255750517
TEST5f1dfbd75d-pandas_testing_dataset (3) 0.54772255750517
TEST5705382a07-UploadTestWithURL (1) 0.43359431136217
TESTccda34c750-pandas_testing_dataset (2) 0.5
TEST5f1dfbd75d-pandas_testing_dataset (2) 0.54772255750517
XOR (14) 0.5
XOR (11) 0.57735026918963
TEST5f1dfbd75d-pandas_testing_dataset (4) 0.54772255750517
anneal (83) 0.87120828097189
TEST2fb3e3c09b-XOR (1) 0.57735026918963
anneal (101) 0.87120828097189
anneal (92) 0.87120828097189
anneal (75) 0.87120828097189
XOR (8) 0.5
Weather (14) 6.5716674586297
TESTccda34c750-pandas_testing_dataset (3)
test (42) 0.43359431136217
test (30) 0.43359431136217
XOR (13) 0.57735026918963
anneal (103) 0.87120828097189
Weather (12) 6.5716674586297
anneal (90) 0.87120828097189
anneal (73) 0.87120828097189
anneal (88) 0.87120828097189
TESTe2a3b91028-ModifiedWeather (1) 6.5716674586297
TESTf7444a8ea4-pandas_testing_dataset (3)
TEST07c2b360c0-pandas_testing_dataset (3)
TEST7e318eb969-pandas_testing_dataset (2) 0.5
test (47) 0.43359431136217
test (50) 0.43359431136217
TESTda410c34dc-pandas_testing_dataset (1) 0.54772255750517
anneal (98) 0.87120828097189
test (37) 0.43359431136217
anneal (86) 0.87120828097189
anneal (105) 0.87120828097189
anneal (87) 0.87120828097189
anneal (99) 0.87120828097189
test (44) 0.43359431136217
TESTcf74ef9481-XOR (1) 0.57735026918963
XOR (12) 0.5
test (51) 0.43359431136217
anneal (91) 1.54672243632
test (46) 0.43359431136217
test (45) 0.43359431136217
test (52) 0.43359431136217
anneal (44) 0.87120828097189
anneal (79) 0.87120828097189
anneal (28) 0.87120828097189
test (48) 0.43359431136217
TEST7e318eb969-pandas_testing_dataset (1) 5.9833101206606
TESTda410c34dc-pandas_testing_dataset (4) 0.54772255750517
TEST07c2b360c0-pandas_testing_dataset (2) 0.5
TESTdcaa77be46-XOR (1) 0.57735026918963
TEST8eecdebbd6-XOR (1) 0.57735026918963
anneal (102) 0.87120828097189
Diabetes(scikit-learn) (7) 0.047619047619048
anneal (97) 0.87120828097189
TEST2302efba1e-XOR (1) 0.57735026918963
anneal (72) 0.87120828097189
test (34) 0.43359431136217
TEST07c2b360c0-pandas_testing_dataset (1) 5.9833101206606
Weather (13) 6.5716674586297
TESTc09922bc0f-XOR (1) 0.57735026918963
test (25) 0.43359431136217
TEST76d8cfa095-pandas_testing_dataset (2) 0.54772255750517
TEST76d8cfa095-pandas_testing_dataset (4) 0.54772255750517
anneal (11) 0.87120828097189
anneal (106) 0.87120828097189
anneal (115) 0.87120828097189
XOR (18) 0.5
anneal (116) 1.54672243632
anneal (113) 0.87120828097189
anneal (107) 0.87120828097189
anneal (82) 0.87120828097189
anneal (114) 0.87120828097189
Diabetes(scikit-learn) (9) 0.047619047619048
Diabetes(scikit-learn) (8) 0.047619047619048
Diabetes(scikit-learn) (10) 0.047619047619048
anneal (119) 0.87120828097189
anneal (118) 0.87120828097189
XOR (21) 0.57735026918963
Weather (17) 6.5716674586297
Weather (21) 6.5716674586297
XOR (23) 0.57735026918963
XOR (19) 0.57735026918963
XOR (17) 0.57735026918963
XOR (16) 0.5
XOR (24) 0.5
Diabetes(scikit-learn) (11) 0.047619047619048
anneal (108) 0.87120828097189
cloud (1) 0.89178289437658
anneal (141) 0.87120828097189
Weather (18) 6.5716674586297
anneal (147) 0.87120828097189
anneal (136) 0.87120828097189
anneal (135) 0.87120828097189
anneal (122) 0.87120828097189
XOR (22) 0.5
Weather (22) 6.5716674586297
anneal (112) 0.87120828097189
XOR (29) 0.57735026918963
anneal (128) 0.87120828097189
anneal (139) 0.87120828097189
XOR (27) 0.57735026918963
fourclass_scale (1) 0.53833093160703
anneal (151) 0.87120828097189
anneal (132) 0.87120828097189
anneal (156) 0.87120828097189
anneal (134) 0.87120828097189
anneal (149) 0.87120828097189
Weather (16) 6.5716674586297
Weather (15) 6.5716674586297
Weather (27) 6.5716674586297
anneal (126) 0.87120828097189
anneal (167) 0.87120828097189
anneal (127) 0.87120828097189
anneal (131) 0.87120828097189
anneal (124) 0.87120828097189
Diabetes(scikit-learn) (15) 0.047619047619048
Diabetes(scikit-learn) (14) 0.047619047619048
anneal (143) 0.87120828097189
anneal (121) 0.87120828097189
anneal (146) 0.87120828097189
anneal (158) 0.87120828097189
anneal (120) 0.87120828097189
anneal (117) 0.87120828097189
Weather (24) 6.5716674586297
Diabetes(scikit-learn) (12) 0.047619047619048
XOR (31) 0.57735026918963
anneal (150) 0.87120828097189
XOR (32) 0.5
Weather (23) 6.5716674586297
anneal (160) 0.87120828097189
Diabetes(scikit-learn) (17) 0.047619047619048
anneal (155) 0.87120828097189
Weather (30) 6.5716674586297
anneal (110) 0.87120828097189
anneal (173) 0.87120828097189
Weather (20) 6.5716674586297
TEST569e152152-pandas_testing_dataset (2) 0.5
XOR (33) 0.57735026918963
Weather (26) 6.5716674586297
Weather (28) 6.5716674586297
XOR (15) 0.57735026918963
anneal (137) 0.87120828097189
Weather (19) 6.5716674586297
anneal (144) 0.87120828097189
XOR (25) 0.57735026918963
anneal (166) 0.87120828097189
XOR (30) 0.5
anneal (159) 0.87120828097189
anneal (161) 0.87120828097189
anneal (154) 0.87120828097189
anneal (125) 0.87120828097189
Weather (31) 6.5716674586297
Weather (34) 6.5716674586297
anneal (168) 0.87120828097189
anneal (172) 0.87120828097189
anneal (140) 0.87120828097189
anneal (129) 0.87120828097189
anneal (174) 0.87120828097189
XOR (20) 0.5
Weather (25) 6.5716674586297
Diabetes(scikit-learn) (16) 0.047619047619048
XOR (34) 0.5
XOR (28) 0.5
anneal (162) 0.87120828097189
anneal (109) 0.87120828097189
anneal (171) 0.87120828097189
anneal (164) 0.87120828097189
anneal (145) 0.87120828097189
anneal (123) 0.87120828097189
Weather (33) 6.5716674586297
Diabetes(scikit-learn) (13) 0.047619047619048
XOR (26) 0.5
anneal (152) 0.87120828097189
anneal (169) 0.87120828097189
anneal (142) 0.87120828097189
Weather (29) 6.5716674586297
Weather (32) 6.5716674586297
TEST63cd902071-pandas_testing_dataset (2) 0.54772255750517
anneal (175) 0.87120828097189
TESTe55d2d0c3d-pandas_testing_dataset (2) 0.5
anneal (177) 0.87120828097189
TESTe55d2d0c3d-pandas_testing_dataset (3)
anneal (178) 1.54672243632
TEST9d96ec7ade-UploadTestWithURL (1) 0.43359431136217
anneal (180) 0.87120828097189
TESTcf61db30f6-pandas_testing_dataset (1) 5.9833101206606
anneal (181) 0.87120828097189
TEST63cd902071-pandas_testing_dataset (4) 0.54772255750517
TEST63cd902071-pandas_testing_dataset (3) 0.54772255750517
TESTada3067c77-XOR (1) 0.57735026918963
TESTf112d7f8be-XOR (1) 0.57735026918963
TEST9ecb165245-UploadTestWithURL (1) 0.43359431136217
anneal (179) 0.87120828097189
TESTaebada2a36-ModifiedWeather (1) 6.5716674586297
TESTe55d2d0c3d-pandas_testing_dataset (1) 5.9833101206606
TEST63cd902071-pandas_testing_dataset (1) 0.54772255750517
anneal (182) 0.87120828097189
anneal (183) 0.87120828097189
anneal (184) 0.87120828097189
anneal (185) 0.87120828097189
Weather (35) 6.5716674586297
anneal (190) 0.87120828097189
anneal (187) 0.87120828097189
anneal (192) 0.87120828097189
anneal (191) 0.87120828097189
Weather (36) 6.5716674586297
XOR (36) 0.5
wisconsin (1) 0.0019500611705003
anneal (186) 0.87120828097189
anneal (189) 0.87120828097189
Diabetes(scikit-learn) (18) 0.047619047619048
XOR (35) 0.57735026918963
anneal (193) 1.54672243632
ModifiedWeather (1) 6.5716674586297
XOR (37) 0.57735026918963
XOR (38) 0.57735026918963
UploadTestWithURL (1) 0.43359431136217
UploadTestWithURL (2) 0.43359431136217
anneal (195) 0.87120828097189
anneal (198) 0.87120828097189
anneal (194) 0.87120828097189
anneal (201) 0.87120828097189
Weather (38) 6.5716674586297
XOR (39) 0.57735026918963
Weather (37) 6.5716674586297
Diabetes(scikit-learn) (19) 0.047619047619048
anneal (199) 0.87120828097189
anneal (196) 0.87120828097189
anneal (200) 0.87120828097189
XOR (40) 0.5
anneal (176) 0.87120828097189
anneal (208) 0.87120828097189
anneal (202) 0.87120828097189
anneal (206) 0.87120828097189
Weather (39) 6.5716674586297
XOR (42) 0.5
anneal (203) 0.87120828097189
anneal (209) 0.87120828097189
anneal (207) 0.87120828097189
anneal (204) 0.87120828097189
Weather (40) 6.5716674586297
Diabetes(scikit-learn) (20) 0.047619047619048
XOR (41) 0.57735026918963
anneal (94) 0.87120828097189
anneal (213) 0.87120828097189
anneal (215) 0.87120828097189
Diabetes(scikit-learn) (21) 0.047619047619048
Weather (42) 6.5716674586297
Weather (41) 6.5716674586297
XOR (43) 0.57735026918963
anneal (211) 0.87120828097189
anneal (210) 0.87120828097189
anneal (214) 0.87120828097189
anneal (212) 0.87120828097189
anneal (218) 0.87120828097189
XOR (44) 0.5
anneal (222) 0.87120828097189
Weather (43) 6.5716674586297
anneal (220) 0.87120828097189
XOR (46) 0.5
anneal (224) 0.87120828097189
anneal (226) 0.87120828097189
anneal (219) 0.87120828097189
Diabetes(scikit-learn) (22) 0.047619047619048
XOR (45) 0.57735026918963
anneal (221) 0.87120828097189
anneal (225) 0.87120828097189
Weather (44) 6.5716674586297
fruitfly (1) 0.077453669814554
sleep (1) 1.4412521731282
anneal (234) 0.87120828097189
Diabetes(scikit-learn) (23) 0.047619047619048
anneal (244) 0.87120828097189
XOR (50) 0.5
anneal (228) 0.87120828097189
anneal (237) 0.87120828097189
anneal (242) 0.87120828097189
anneal (231) 0.87120828097189
Weather (47) 6.5716674586297
Weather (45) 6.5716674586297
TEST08f51af3c8-pandas_testing_dataset (1) 5.9833101206606
TESTa365aee568-UploadTestWithURL (1) 0.43359431136217
anneal (233) 0.87120828097189
anneal (240) 0.87120828097189
anneal (229) 0.87120828097189
TEST037907c164-pandas_testing_dataset (3)
TESTa540f38c2d-pandas_testing_dataset (1) 0.54772255750517
TESTfd496f5b4d-XOR (1) 0.57735026918963
TEST037907c164-pandas_testing_dataset (2) 0.5
XOR (47) 0.57735026918963
XOR (48) 0.5
TEST82462bce44-UploadTestWithURL (1) 0.43359431136217
XOR (49) 0.57735026918963
anneal (241) 0.87120828097189
anneal (227) 0.87120828097189
anneal (236) 0.87120828097189
TESTa540f38c2d-pandas_testing_dataset (4) 0.54772255750517
Weather (46) 6.5716674586297
Weather (48) 6.5716674586297
anneal (235) 1.54672243632
TESTa540f38c2d-pandas_testing_dataset (2) 0.54772255750517
TESTa540f38c2d-pandas_testing_dataset (3) 0.54772255750517
anneal (238) 0.87120828097189
Diabetes(scikit-learn) (24) 0.047619047619048
GermanCreditModified (1) 0.36208577175319
GermanCreditModified (3) 0.36208577175319
GermanCreditModified (2) 0.36208577175319
TEST062fea70c5-XOR (1) 0.57735026918963
anneal (249) 0.87120828097189
Weather (50) 6.5716674586297
anneal (246) 0.87120828097189
anneal (251) 0.87120828097189
anneal (252) 0.87120828097189
anneal (247) 0.87120828097189
anneal (245) 0.87120828097189
XOR (51) 0.57735026918963
anneal (250) 0.87120828097189
Weather (49) 6.5716674586297
Diabetes(scikit-learn) (25) 0.047619047619048
XOR (52) 0.5
pharynx (1) 11.216691519749
anneal (232) 0.87120828097189
bolts (1) 0.45291081365784
cpu_act (1) 2.4794934268871
delta_elevators (1) 0.0023743436588916
kin8nm (1) 0.26360679569768
diabetes_numeric (1) 0.72056487008765
satimage (1) 0.99963874376075
anneal (253) 0.87120828097189
anneal (255) 0.87120828097189
anneal (257) 0.87120828097189
anneal (260) 0.87120828097189
Weather (52) 6.5716674586297
Diabetes(scikit-learn) (26) 0.047619047619048
anneal (258) 0.87120828097189
XOR (54) 0.5
anneal (254) 0.87120828097189
anneal (259) 0.87120828097189
Weather (51) 6.5716674586297
XOR (53) 0.57735026918963
anneal (264) 0.87120828097189
Diabetes(scikit-learn) (27) 0.047619047619048
anneal (266) 0.87120828097189
Weather (53) 6.5716674586297
anneal (263) 0.87120828097189
Weather (54) 6.5716674586297
anneal (265) 0.87120828097189
anneal (262) 0.87120828097189
anneal (261) 0.87120828097189
anneal (269) 0.87120828097189
XOR (56) 0.5
XOR (55) 0.57735026918963
semeion (1) 0.19789687479332
anneal (271) 0.87120828097189
anneal (274) 0.87120828097189
anneal (278) 0.87120828097189
TESTa16e77a23a-pandas_testing_dataset (1) 0.54772255750517
anneal (275) 0.87120828097189
anneal (272) 0.87120828097189
anneal (276) 0.87120828097189
anneal (270) 0.87120828097189
Weather (55) 6.5716674586297
Weather (56) 6.5716674586297
Diabetes(scikit-learn) (28) 0.047619047619048
XOR (58) 0.5
XOR (57) 0.57735026918963
anneal (279) 1.54672243632
TEST48d84f339b-UploadTestWithURL (1) 0.43359431136217
TEST119265b835-UploadTestWithURL (1) 0.43359431136217
pbc (1) 0.42497160577962
pol (1) 0
anneal (296) 0.87120828097189
anneal (293) 0.87120828097189
anneal (288) 0.87120828097189
anneal (291) 0.87120828097189
anneal (292) 0.87120828097189
anneal (280) 0.87120828097189
anneal (287) 0.87120828097189
anneal (286) 0.87120828097189
Weather (57) 6.5716674586297
XOR (60) 0.5
XOR (59) 0.57735026918963
anneal (281) 0.87120828097189
anneal (285) 0.87120828097189
anneal (282) 0.87120828097189
anneal (283) 0.87120828097189
Weather (58) 6.5716674586297
Diabetes(scikit-learn) (29) 0.047619047619048
mbagrade (1) 0.32878870006376
cleveland (1) 0.93743831772422
auto_price (1) 0.26733562895372
waveform-5000 (1) 0.97645295435797
climate-model-simulation-crashes (1) 0.28881336863616
anneal (304) 0.87120828097189
anneal (306) 0.87120828097189
anneal (295) 0.87120828097189
anneal (298) 0.87120828097189
XOR (61) 0.57735026918963
anneal (297) 0.87120828097189
anneal (305) 0.87120828097189
anneal (294) 0.87120828097189
anneal (290) 0.87120828097189
anneal (300) 0.87120828097189
anneal (289) 0.87120828097189
anneal (307) 0.87120828097189
Weather (60) 6.5716674586297
Weather (59) 6.5716674586297
Diabetes(scikit-learn) (30) 0.047619047619048
anneal (299) 0.87120828097189
XOR (62) 0.5
anneal (301) 0.87120828097189
anneal (302) 0.87120828097189
segment (1) 0
abalone (1) 0.041827056607257
MiceProtein (1) 0.013233318836526
detroit (1) 0.96655879150515
anneal (319) 0.87120828097189
anneal (316) 0.87120828097189
anneal (318) 0.87120828097189
anneal (321) 0.87120828097189
anneal (320) 0.87120828097189
anneal (317) 0.87120828097189
anneal (309) 0.87120828097189
anneal (314) 0.87120828097189
Weather (62) 6.5716674586297
XOR (63) 0.57735026918963
Diabetes(scikit-learn) (31) 0.047619047619048
XOR (64) 0.5
anneal (311) 0.87120828097189
anneal (312) 0.87120828097189
anneal (310) 0.87120828097189
anneal (308) 0.87120828097189
anneal (315) 0.87120828097189
Weather (61) 6.5716674586297
UNIX_user_data (1) 790.05450392026
lowbwt (1) 5.2986779334043
anneal (328) 0.87120828097189
anneal (324) 0.87120828097189
anneal (329) 0.87120828097189
anneal (326) 0.87120828097189
Weather (63) 6.5716674586297
Weather (64) 6.5716674586297
Diabetes(scikit-learn) (32) 0.047619047619048
anneal (323) 0.87120828097189
anneal (327) 0.87120828097189
anneal (322) 0.87120828097189
XOR (66) 0.5
XOR (65) 0.57735026918963
anneal (330) 0.87120828097189
anneal (333) 0.87120828097189
anneal (332) 0.87120828097189
anneal (335) 0.87120828097189
anneal (334) 0.87120828097189
anneal (331) 0.87120828097189
kr-vs-kp (1)
mfeat-pixel (1)
mfeat-morphological (1) 0.29131571719535
mfeat-factors (1) 1.9854850353031
mfeat-karhunen (1) 0.89234411386476
letter (1) 1.54672243632
mfeat-zernike (1) 0.066552002714652
cmc (1) 2.3585488626874
isolet (1) 0.054925852703405
vowel (2) 0.46192683815132
scene (1) 0.067080007925077
monks-problems-1 (1)
monks-problems-2 (1)
monks-problems-3 (1)
sick (1) 0.19545727511329
soybean (1)
splice (1)
tic-tac-toe (1)
eucalyptus (1) 0.49318784476285
credit-g (1) 0.36208577175319
pendigits (1) 16.218570675494
optdigits (1) 0
first-order-theorem-proving (1) 0.83946221291434
har (1) 0.03712816435011
ilpd (1) 0.31849195945867
madelon (1) 0.59573952780416
Amazon_employee_access (1)
PhishingWebsites (1)
GesturePhaseSegmentationProcessed (1) 0.00095394424779593
cylinder-bands (2) 0.19335382071185
cjs (3) 0
LED-display-domain-7digit (1) 0.38623095253668
wall-robot-navigation (1) 0.80280113711597
tamilnadu-electricity (1) 0.28865824767939
adult (2) 2.5709727555918
Bioresponse (1) 0.0027212924603936
gina_agnostic (1) 12.220429305914
ada_agnostic (1) 0
mozilla4 (1) 0.49538411846058
pc4 (1) 0.11986237027041
pc3 (1) 0.12943827711259
JapaneseVowels (1) 0.097998558921646
irish (1) 15.333706778893
analcatdata_authorship (1) 0.80451031662467
analcatdata_dmft (1)
pc1 (1) 0.14695194033181
Click_prediction_small (5) 0.63154458906239
bank-marketing (1) 2.3034410449314
banknote-authentication (1) 2.1010131367391
blood-transfusion-service-center (1) 5.83930712309
cardiotocography (1) 0.057299838918067
nomao (1) 0.015233850268561
ozone-level-8hr (1) 0.2428578939629
phoneme (1) 0.99999999847654
one-hundred-plants-margin (1) 0.001498240814741
one-hundred-plants-texture (1) 0.010187092466849
qsar-biodeg (1) 0.03014295651192
micro-mass (2) 0
vehicle (1) 2.5921383276847
texture (1) 0.13897688217292
Australian (3) 0.10420205196605
synthetic_control (1) 3.4955073789368
wdbc (1) 0.0026460715239778
dresses-sales (2) 2.0053640592222
hill-valley (1) 17668.983863522
car (1)
MagicTelescope (1) 0.11051079890196
balance-scale (1) 1.4153462926807
anneal (336) 0.87120828097189
anneal (338) 0.87120828097189
anneal (337) 0.87120828097189
mushroom (1)
profb (1) 0.81710477213379
sylva_agnostic (1) 0
kc1 (1) 0.17550652636316
musk (1) 13.975250306712
artificial-characters (1) 1.7196318285176
cnae-9 (1) 0.030429030972509
one-hundred-plants-shape (1) 0.00023816167134437
steel-plates-fault (1) 0.05896116935205
cholesterol (1) 0.93743831772422
mfeat-fourier (1) 0.037555498917336
credit-a (1) 3.3465133592781
wilt (1) 10.726996780258
electricity (1) 0.010213038212795
gas-drift (1) 0.52866047303522
breast-w (1) 1.7150779425068
autoMpg (1) 2.7576889298127
jm1 (1) 0.16053844774
diabetes (1) 0.33132859501277
eeg-eye-state (1) 29.292603201776
collins (1) 0.27275253966882
kc2 (1) 0.27560890469343
anneal (344) 0.87120828097189
anneal (339) 0.87120828097189
anneal (342) 0.87120828097189
anneal (343) 0.87120828097189
Weather (66) 6.5716674586297
anneal (1) 0.87120828097189
XOR (68) 0.5
XOR (67) 0.57735026918963
longley (1) 4.7609522856952
iris (1) 0.43359431136217
anneal (341) 0.87120828097189
anneal (340) 0.87120828097189
Weather (65) 6.5716674586297
anneal (346) 0.87120828097189
Diabetes(scikit-learn) (33) 0.047619047619048