Measure

CfsSubsetEval_kNN1NKappa

Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

Value per dataset

triazines (1)
anneal (8) 0.6191022730108
anneal (4) 0.6191022730108
anneal (2) 0.6191022730108
XOR (1)
Weather (1) -0.13513513513514
web_questionsQA (1)
anneal (6) 0.6191022730108
anneal (7) 0.6191022730108
Weather (2) -0.13513513513514
TEST9e3886e694-XOR (1)
iris (2) 0.9
anneal (12) 0.6191022730108
anneal (14) 0.84175686386753
TESTc7ba0dcb5a-XOR (1)
TESTed4a84a4bb-pandas_testing_dataset (2)
test (6) 0.9
TEST51ef687b9d-pandas_testing_dataset (2)
Diabetes(scikit-learn) (1)
anneal (13) 0.6191022730108
TESTb633b550cf-pandas_testing_dataset (1)
test (4) 0.9
TEST51ef687b9d-pandas_testing_dataset (1)
TESTed4a84a4bb-pandas_testing_dataset (1)
test (3) 0.9
test (1) 0.9
test (2) 0.9
TEST51ef687b9d-pandas_testing_dataset (4)
anneal (9) 0.98879835542893
TESTaf99b42041-ModifiedWeather (1)
XOR (2)
test (9) 0.9
anneal (17) 0.6191022730108
test (7) 0.9
TESTe216022baf-UploadTestWithURL (1)
iris-challenge (1) 0.88655862726406
TEST8facacd8dc-UploadTestWithURL (1)
test (10) 0.9
test (14) 0.9
test (5) 0.9
test (13) 0.9
test (12) 0.9
TEST51ef687b9d-pandas_testing_dataset (3)
TESTed4a84a4bb-pandas_testing_dataset (3) -0.25
anneal (3) 0.81806507516465
anneal (23) 0.6191022730108
TEST0ea351d931-pandas_testing_dataset (1)
anneal (24) 0.6191022730108
anneal (18) 0.6191022730108
test (11) 0.9
test (8) 0.9
anneal (26) 0.6191022730108
anneal (27) 0.6191022730108
anneal (39) 0.6191022730108
anneal (43) 0.6191022730108
anneal (63) 0.6191022730108
test (16) 0.9
TEST840571e677-pandas_testing_dataset (1)
anneal (58) 0.6191022730108
Weather (6) -0.13513513513514
anneal (62) 0.6191022730108
anneal (30) 0.6191022730108
test (24) 0.9
test (20) 0.9
anneal (66) 0.98879835542893
anneal (34) 0.81806507516465
anneal (38) 0.6191022730108
anneal (41) 0.6191022730108
Weather (3) -0.13513513513514
XOR (4)
Weather (4) -0.13513513513514
Weather (8) -0.13513513513514
test (19) 0.9
test (21) 0.9
Diabetes(scikit-learn) (3)
XOR (3)
anneal (48) 0.6191022730108
XOR (6)
test (27) 0.9
XOR (5)
spambase (1) 0.82088764456593
anneal (49) 0.6191022730108
test (33) 0.9
anneal (32) 0.6191022730108
anneal (45) 0.6191022730108
anneal (16) 0.6191022730108
anneal (57) 0.6191022730108
Weather (5) 0.37777777777778
test (26) 0.9
XOR (7)
test (36) 0.9
test (23) 0.9
anneal (59) 0.6191022730108
test (28) 0.9
anneal (42) 0.6191022730108
anneal (33) 0.6191022730108
test (15) 0.9
anneal (37) 0.98879835542893
anneal (53) 0.6191022730108
anneal (25) 0.6191022730108
anneal (56) 0.98879835542893
test (39) 0.9
TEST2fe1e97c97-pandas_testing_dataset (1)
test (35) 0.9
test (29) 0.9
test (31) 0.9
anneal (52) 0.6191022730108
Diabetes(scikit-learn) (4)
anneal (54) 0.6191022730108
Weather (7) -0.13513513513514
test (22) 0.9
test (38) 0.9
test (32) 0.9
test (18) 0.9
Diabetes(scikit-learn) (2)
vineyard (1)
anneal (31) 0.6191022730108
Weather (9) -0.13513513513514
Diabetes(scikit-learn) (5)
TESTccda34c750-pandas_testing_dataset (1)
anneal (74) 0.81806507516465
Weather (11) -0.13513513513514
anneal (61) 0.6191022730108
test (17) 0.9
TEST22dd0ebd9b-ModifiedWeather (1)
anneal (36) 0.6191022730108
test (43) 0.9
XOR (9)
anneal (89) 0.6191022730108
TESTee7d03de92-pandas_testing_dataset (1)
anneal (77) 0.6191022730108
anneal (84) 0.6191022730108
TEST76d8cfa095-pandas_testing_dataset (1)
XOR (10)
autoPrice (1)
quake (1)
TEST5f1dfbd75d-pandas_testing_dataset (1)
anneal (95) 0.81806507516465
anneal (80) 0.6191022730108
test (40) 0.9
TESTda410c34dc-pandas_testing_dataset (2)
TEST398fcda80b-ModifiedWeather (1)
TEST7e318eb969-pandas_testing_dataset (3) -0.25
Weather (10) -0.13513513513514
test (41) 0.9
TEST76d8cfa095-pandas_testing_dataset (3)
test (49) 0.9
Diabetes(scikit-learn) (6)
TESTda410c34dc-pandas_testing_dataset (3)
TEST5f1dfbd75d-pandas_testing_dataset (3)
TEST5705382a07-UploadTestWithURL (1)
TESTccda34c750-pandas_testing_dataset (2)
TEST5f1dfbd75d-pandas_testing_dataset (2)
XOR (14)
XOR (11)
TEST5f1dfbd75d-pandas_testing_dataset (4)
anneal (83) 0.6191022730108
TEST2fb3e3c09b-XOR (1)
anneal (101) 0.6191022730108
anneal (92) 0.6191022730108
anneal (75) 0.6191022730108
XOR (8)
Weather (14) -0.13513513513514
TESTccda34c750-pandas_testing_dataset (3) -0.25
test (42) 0.9
test (30) 0.9
XOR (13)
anneal (103) 0.6191022730108
Weather (12) -0.13513513513514
anneal (90) 0.6191022730108
anneal (73) 0.6191022730108
anneal (88) 0.98879835542893
TESTe2a3b91028-ModifiedWeather (1)
TESTf7444a8ea4-pandas_testing_dataset (3) -0.25
TEST07c2b360c0-pandas_testing_dataset (3) -0.25
TEST7e318eb969-pandas_testing_dataset (2)
test (47) 0.9
test (50) 0.9
TESTda410c34dc-pandas_testing_dataset (1)
anneal (98) 0.81806507516465
test (37) 0.9
anneal (86) 0.98879835542893
anneal (105) 0.98879835542893
anneal (87) 0.6191022730108
anneal (99) 0.6191022730108
test (44) 0.9
TESTcf74ef9481-XOR (1)
XOR (12)
test (51) 0.9
anneal (91) 0.84175686386753
test (46) 0.9
test (45) 0.9
test (52) 0.9
anneal (44) 0.6191022730108
anneal (79) 0.6191022730108
anneal (28) 0.6191022730108
test (48) 0.9
TEST7e318eb969-pandas_testing_dataset (1)
TESTda410c34dc-pandas_testing_dataset (4)
TEST07c2b360c0-pandas_testing_dataset (2)
TESTdcaa77be46-XOR (1)
TEST8eecdebbd6-XOR (1)
anneal (102) 0.6191022730108
Diabetes(scikit-learn) (7)
anneal (97) 0.6191022730108
TEST2302efba1e-XOR (1)
anneal (72) 0.94630150092687
test (34) 0.9
TEST07c2b360c0-pandas_testing_dataset (1)
Weather (13) -0.13513513513514
TESTc09922bc0f-XOR (1)
test (25) 0.9
TEST76d8cfa095-pandas_testing_dataset (2)
TEST76d8cfa095-pandas_testing_dataset (4)
anneal (11) 0.6191022730108
anneal (106) 0.81806507516465
anneal (115) 0.98879835542893
XOR (18)
anneal (116) 0.84175686386753
anneal (113) 0.6191022730108
anneal (107) 0.6191022730108
anneal (82) 0.6191022730108
anneal (114) 0.6191022730108
Diabetes(scikit-learn) (9)
Diabetes(scikit-learn) (8)
Diabetes(scikit-learn) (10)
anneal (119) 0.6191022730108
anneal (118) 0.6191022730108
XOR (21)
Weather (17) -0.13513513513514
Weather (21) -0.13513513513514
XOR (23)
XOR (19)
XOR (17)
XOR (16)
XOR (24)
Diabetes(scikit-learn) (11)
anneal (108) 0.81806507516465
cloud (1)
anneal (141) 0.6191022730108
Weather (18) -0.13513513513514
anneal (147) 0.6191022730108
anneal (136) 0.6191022730108
anneal (135) 0.94630150092687
anneal (122) 0.98879835542893
XOR (22)
Weather (22) -0.13513513513514
anneal (112) 0.6191022730108
XOR (29)
anneal (128) 0.6191022730108
anneal (139) 0.6191022730108
XOR (27)
fourclass_scale (1)
anneal (151) 0.6191022730108
anneal (132) 0.6191022730108
anneal (156) 0.6191022730108
anneal (134) 0.6191022730108
anneal (149) 0.6191022730108
Weather (16) -0.13513513513514
Weather (15) -0.13513513513514
Weather (27) -0.13513513513514
anneal (126) 0.6191022730108
anneal (167) 0.81806507516465
anneal (127) 0.6191022730108
anneal (131) 0.6191022730108
anneal (124) 0.98879835542893
Diabetes(scikit-learn) (15)
Diabetes(scikit-learn) (14)
anneal (143) 0.6191022730108
anneal (121) 0.6191022730108
anneal (146) 0.6191022730108
anneal (158) 0.6191022730108
anneal (120) 0.6191022730108
anneal (117) 0.98879835542893
Weather (24) -0.13513513513514
Diabetes(scikit-learn) (12)
XOR (31)
anneal (150) 0.6191022730108
XOR (32)
Weather (23) -0.13513513513514
anneal (160) 0.6191022730108
Diabetes(scikit-learn) (17)
anneal (155) 0.6191022730108
Weather (30) -0.13513513513514
anneal (110) 0.6191022730108
anneal (173) 0.98879835542893
Weather (20) -0.13513513513514
TEST569e152152-pandas_testing_dataset (2)
XOR (33)
Weather (26) -0.13513513513514
Weather (28) -0.13513513513514
XOR (15)
anneal (137) 0.98879835542893
Weather (19) -0.13513513513514
anneal (144) 0.6191022730108
XOR (25)
anneal (166) 0.98879835542893
XOR (30)
anneal (159) 0.6191022730108
anneal (161) 0.81806507516465
anneal (154) 0.6191022730108
anneal (125) 0.6191022730108
Weather (31) 0.37777777777778
Weather (34) 0.37777777777778
anneal (168) 0.81806507516465
anneal (172) 0.81806507516465
anneal (140) 0.6191022730108
anneal (129) 0.6191022730108
anneal (174) 0.6191022730108
XOR (20)
Weather (25) -0.13513513513514
Diabetes(scikit-learn) (16)
XOR (34)
XOR (28)
anneal (162) 0.6191022730108
anneal (109) 0.81806507516465
anneal (171) 0.81806507516465
anneal (164) 0.6191022730108
anneal (145) 0.6191022730108
anneal (123) 0.98879835542893
Weather (33) -0.13513513513514
Diabetes(scikit-learn) (13)
XOR (26)
anneal (152) 0.81806507516465
anneal (169) 0.81806507516465
anneal (142) 0.98879835542893
Weather (29) 0.37777777777778
Weather (32) 0.37777777777778
TEST63cd902071-pandas_testing_dataset (2)
anneal (175) 0.6191022730108
TESTe55d2d0c3d-pandas_testing_dataset (2)
anneal (177) 0.6191022730108
TESTe55d2d0c3d-pandas_testing_dataset (3) -0.25
anneal (178) 0.84175686386753
TEST9d96ec7ade-UploadTestWithURL (1)
anneal (180) 0.6191022730108
TESTcf61db30f6-pandas_testing_dataset (1)
anneal (181) 0.6191022730108
TEST63cd902071-pandas_testing_dataset (4)
TEST63cd902071-pandas_testing_dataset (3)
TESTada3067c77-XOR (1)
TESTf112d7f8be-XOR (1)
TEST9ecb165245-UploadTestWithURL (1)
anneal (179) 0.81806507516465
TESTaebada2a36-ModifiedWeather (1)
TESTe55d2d0c3d-pandas_testing_dataset (1)
TEST63cd902071-pandas_testing_dataset (1)
anneal (182) 0.81806507516465
anneal (183) 0.81806507516465
anneal (184) 0.6191022730108
anneal (185) 0.6191022730108
Weather (35) -0.13513513513514
anneal (190) 0.81806507516465
anneal (187) 0.6191022730108
anneal (192) 0.6191022730108
anneal (191) 0.94630150092687
Weather (36) -0.13513513513514
XOR (36)
wisconsin (1)
anneal (186) 0.6191022730108
anneal (189) 0.6191022730108
Diabetes(scikit-learn) (18)
XOR (35)
anneal (193) 0.94976623162065
ModifiedWeather (1)
XOR (37)
XOR (38)
UploadTestWithURL (1)
UploadTestWithURL (2)
anneal (195) 0.81806507516465
anneal (198) 0.81806507516465
anneal (194) 0.81806507516465
anneal (201) 0.6191022730108
Weather (38) -0.13513513513514
XOR (39)
Weather (37) -0.13513513513514
Diabetes(scikit-learn) (19)
anneal (199) 0.81806507516465
anneal (196) 0.81806507516465
anneal (200) 0.94630150092687
XOR (40)
anneal (176) 0.81806507516465
anneal (208) 0.81806507516465
anneal (202) 0.81806507516465
anneal (206) 0.94630150092687
Weather (39) 0.37777777777778
XOR (42)
anneal (203) 0.6191022730108
anneal (209) 0.81806507516465
anneal (207) 0.6191022730108
anneal (204) 0.6191022730108
Weather (40) -0.13513513513514
Diabetes(scikit-learn) (20)
XOR (41)
anneal (94) 0.81806507516465
anneal (213) 0.6191022730108
anneal (215) 0.6191022730108
Diabetes(scikit-learn) (21)
Weather (42) -0.13513513513514
Weather (41) 0.37777777777778
XOR (43)
anneal (211) 0.81806507516465
anneal (210) 0.81806507516465
anneal (214) 0.81806507516465
anneal (212) 0.6191022730108
anneal (218) 0.94630150092687
XOR (44)
anneal (222) 0.6191022730108
Weather (43) -0.13513513513514
anneal (220) 0.81806507516465
XOR (46)
anneal (224) 0.81806507516465
anneal (226) 0.81806507516465
anneal (219) 0.6191022730108
Diabetes(scikit-learn) (22)
XOR (45)
anneal (221) 0.6191022730108
anneal (225) 0.98879835542893
Weather (44) 0.37777777777778
fruitfly (1)
sleep (1)
anneal (234) 0.6191022730108
Diabetes(scikit-learn) (23)
anneal (244) 0.98879835542893
XOR (50)
anneal (228) 0.81806507516465
anneal (237) 0.6191022730108
anneal (242) 0.6191022730108
anneal (231) 0.94630150092687
Weather (47) -0.13513513513514
Weather (45) -0.13513513513514
TEST08f51af3c8-pandas_testing_dataset (1)
TESTa365aee568-UploadTestWithURL (1)
anneal (233) 0.6191022730108
anneal (240) 0.6191022730108
anneal (229) 0.6191022730108
TEST037907c164-pandas_testing_dataset (3) -0.25
TESTa540f38c2d-pandas_testing_dataset (1)
TESTfd496f5b4d-XOR (1)
TEST037907c164-pandas_testing_dataset (2)
XOR (47)
XOR (48)
TEST82462bce44-UploadTestWithURL (1)
XOR (49)
anneal (241) 0.6191022730108
anneal (227) 0.6191022730108
anneal (236) 0.6191022730108
TESTa540f38c2d-pandas_testing_dataset (4)
Weather (46) -0.13513513513514
Weather (48) 0.37777777777778
anneal (235) 0.94976623162065
TESTa540f38c2d-pandas_testing_dataset (2)
TESTa540f38c2d-pandas_testing_dataset (3)
anneal (238) 0.6191022730108
Diabetes(scikit-learn) (24)
GermanCreditModified (1)
GermanCreditModified (3)
GermanCreditModified (2)
TEST062fea70c5-XOR (1)
anneal (249) 0.81806507516465
Weather (50) -0.13513513513514
anneal (246) 0.81806507516465
anneal (251) 0.6191022730108
anneal (252) 0.81806507516465
anneal (247) 0.6191022730108
anneal (245) 0.6191022730108
XOR (51)
anneal (250) 0.98879835542893
Weather (49) 0.37777777777778
Diabetes(scikit-learn) (25)
XOR (52)
pharynx (1)
anneal (232) 0.81806507516465
bolts (1)
cpu_act (1)
delta_elevators (1)
kin8nm (1)
diabetes_numeric (1)
satimage (1) 0.81678145242474
anneal (253) 0.81806507516465
anneal (255) 0.81806507516465
anneal (257) 0.6191022730108
anneal (260) 0.98879835542893
Weather (52) -0.13513513513514
Diabetes(scikit-learn) (26)
anneal (258) 0.6191022730108
XOR (54)
anneal (254) 0.81806507516465
anneal (259) 0.6191022730108
Weather (51) -0.13513513513514
XOR (53)
anneal (264) 0.81806507516465
Diabetes(scikit-learn) (27)
anneal (266) 0.81806507516465
Weather (53) -0.13513513513514
anneal (263) 0.6191022730108
Weather (54) -0.13513513513514
anneal (265) 0.81806507516465
anneal (262) 0.81806507516465
anneal (261) 0.81806507516465
anneal (269) 0.94630150092687
XOR (56)
XOR (55)
semeion (1) 0.66165532070498
anneal (271) 0.6191022730108
anneal (274) 0.81806507516465
anneal (278) 0.94630150092687
TESTa16e77a23a-pandas_testing_dataset (1)
anneal (275) 0.81806507516465
anneal (272) 0.81806507516465
anneal (276) 0.6191022730108
anneal (270) 0.6191022730108
Weather (55) 0.37777777777778
Weather (56) 0.37777777777778
Diabetes(scikit-learn) (28)
XOR (58)
XOR (57)
anneal (279) 0.94976623162065
TEST48d84f339b-UploadTestWithURL (1)
TEST119265b835-UploadTestWithURL (1)
pbc (1)
pol (1)
anneal (296) 0.81806507516465
anneal (293) 0.81806507516465
anneal (288) 0.81806507516465
anneal (291) 0.81806507516465
anneal (292) 0.81806507516465
anneal (280) 0.81806507516465
anneal (287) 0.6191022730108
anneal (286) 0.98879835542893
Weather (57) 0.37777777777778
XOR (60)
XOR (59)
anneal (281) 0.81806507516465
anneal (285) 0.81806507516465
anneal (282) 0.81806507516465
anneal (283) 0.6191022730108
Weather (58) 0.37777777777778
Diabetes(scikit-learn) (29)
mbagrade (1)
cleveland (1)
auto_price (1)
waveform-5000 (1) 0.64842460324626
climate-model-simulation-crashes (1) 0.019180470793374
anneal (304) 0.81806507516465
anneal (306) 0.81806507516465
anneal (295) 0.6191022730108
anneal (298) 0.6191022730108
XOR (61)
anneal (297) 0.6191022730108
anneal (305) 0.6191022730108
anneal (294) 0.6191022730108
anneal (290) 0.6191022730108
anneal (300) 0.6191022730108
anneal (289) 0.6191022730108
anneal (307) 0.98879835542893
Weather (60) -0.13513513513514
Weather (59) -0.13513513513514
Diabetes(scikit-learn) (30)
anneal (299) 0.81806507516465
XOR (62)
anneal (301) 0.81806507516465
anneal (302) 0.81806507516465
segment (1) 0.9510101010101
abalone (1) 0.10167293886569
MiceProtein (1) 1
detroit (1)
anneal (319) 0.81806507516465
anneal (316) 0.81806507516465
anneal (318) 0.81806507516465
anneal (321) 0.81806507516465
anneal (320) 0.81806507516465
anneal (317) 0.81806507516465
anneal (309) 0.81806507516465
anneal (314) 0.98879835542893
Weather (62) 0.37777777777778
XOR (63)
Diabetes(scikit-learn) (31)
XOR (64)
anneal (311) 0.6191022730108
anneal (312) 0.81806507516465
anneal (310) 0.81806507516465
anneal (308) 0.81806507516465
anneal (315) 0.6191022730108
Weather (61) 0.37777777777778
UNIX_user_data (1)
lowbwt (1)
anneal (328) 0.81806507516465
anneal (324) 0.81806507516465
anneal (329) 0.6191022730108
anneal (326) 0.94630150092687
Weather (63) 0.37777777777778
Weather (64) 0.37777777777778
Diabetes(scikit-learn) (32)
anneal (323) 0.6191022730108
anneal (327) 0.81806507516465
anneal (322) 0.81806507516465
XOR (66)
XOR (65)
anneal (330) 0.81806507516465
anneal (333) 0.81806507516465
anneal (332) 0.81806507516465
anneal (335) 0.81806507516465
anneal (334) 0.81806507516465
anneal (331) 0.6191022730108
kr-vs-kp (1) 0.88119202140591
mfeat-pixel (1) 0.73611111111111
mfeat-morphological (1) 0.67222222222222
mfeat-factors (1) 0.85166666666667
mfeat-karhunen (1) 0.76611111111111
letter (1) 0.84175686386753
mfeat-zernike (1) 0.65111111111111
cmc (1) 0.23027588896024
isolet (1) 0.79765560665029
vowel (2) 0.66444444444444
scene (1) 0.73808363572709
monks-problems-1 (1) 0.49280575539568
monks-problems-2 (1) 0
monks-problems-3 (1) 0.94940771277984
sick (1) 0.77597197180175
soybean (1) 0.85347528531452
splice (1) 0.897812250821
tic-tac-toe (1) 0.41922178864716
eucalyptus (1) 0.46373071090787
credit-g (1) 0.30569684638861
pendigits (1) 0.9437860838946
optdigits (1) 0.98121742402476
first-order-theorem-proving (1) 0.34624274955142
har (1) 0.91252033200752
ilpd (1) 0.14779196799508
madelon (1) 0.41538461538462
Amazon_employee_access (1) 0
PhishingWebsites (1) 0.87226958364388
GesturePhaseSegmentationProcessed (1) 0.340256004749
cylinder-bands (2) 0.16417504756727
cjs (3) 1
LED-display-domain-7digit (1) 0.65302182403758
wall-robot-navigation (1) 0.98147560504331
tamilnadu-electricity (1) 1
adult (2) 0.56362515511857
Bioresponse (1) 0.47447867397224
gina_agnostic (1) 0.6994458764773
ada_agnostic (1) 0.54821805884229
mozilla4 (1) 0.86663546475276
pc4 (1) 0.30203725473562
pc3 (1) 0
JapaneseVowels (1) 0.83065140445486
irish (1) 1
analcatdata_authorship (1) 0.87859202217392
analcatdata_dmft (1) 0.031950840204177
pc1 (1) 0.10596240043855
Click_prediction_small (5) 0.017862321654848
bank-marketing (1) 0.42640597317081
banknote-authentication (1) 0.84904975132881
blood-transfusion-service-center (1) 0.020630787037037
cardiotocography (1) 1
nomao (1) 0.85744354977511
ozone-level-8hr (1) 0.20297436483977
phoneme (1) 0.55794303058604
one-hundred-plants-margin (1) 0.4084595959596
one-hundred-plants-texture (1) 0.40935283687943
qsar-biodeg (1) 0.57522129375546
micro-mass (2) 0.70142327238263
vehicle (1) 0.57437055587854
texture (1) 0.9024
Australian (3) 0.69117609802647
synthetic_control (1) 0.854
wdbc (1) 0.87145344124174
dresses-sales (2) 0.057811928283937
hill-valley (1) 0
car (1) 0.7124332587407
MagicTelescope (1) 0.59141417153215
balance-scale (1) 0.63739636554189
anneal (336) 0.81806507516465
anneal (338) 0.81806507516465
anneal (337) 0.81806507516465
mushroom (1) 0.9738461616959
profb (1) 0
sylva_agnostic (1) 0.91581149729292
kc1 (1) 0.26043406740541
musk (1) 0.99767132795188
artificial-characters (1) 0.51759276901587
cnae-9 (1) 0.78229166666667
one-hundred-plants-shape (1) 0.37815656565657
steel-plates-fault (1) 0.97165733203355
cholesterol (1)
mfeat-fourier (1) 0.71777777777778
credit-a (1) 0.7101750574898
wilt (1) 0.80464084286337
electricity (1) 0.49835333064918
gas-drift (1) 0.93591052084793
breast-w (1) 0.87687381157777
autoMpg (1)
jm1 (1) 0.18369678613615
diabetes (1) 0.38164732240097
eeg-eye-state (1) 0.5343988170413
collins (1) 1
kc2 (1) 0.33953660015288
anneal (344) 0.6191022730108
anneal (339) 0.6191022730108
anneal (342) 0.81806507516465
anneal (343) 0.98879835542893
Weather (66) -0.13513513513514
anneal (1) 0.6191022730108
XOR (68)
XOR (67)
longley (1)
iris (1) 0.9
anneal (341) 0.6191022730108
anneal (340) 0.81806507516465
Weather (65) 0.37777777777778
anneal (346) 0.81806507516465
Diabetes(scikit-learn) (33)