Measure

DecisionStumpAUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump

Value per dataset

triazines (1)
anneal (8) 0.86527353843322
anneal (4) 0.86527353843322
anneal (2) 0.86527353843322
XOR (1)
Weather (1) 0.3
web_questionsQA (1)
anneal (6) 0.86527353843322
anneal (7) 0.86527353843322
Weather (2) 0.3
TEST9e3886e694-XOR (1)
iris (2) 0.83333333333333
anneal (12) 0.86527353843322
anneal (14) 0.65745452680268
TESTc7ba0dcb5a-XOR (1)
TESTed4a84a4bb-pandas_testing_dataset (2)
test (6) 0.83333333333333
TEST51ef687b9d-pandas_testing_dataset (2)
Diabetes(scikit-learn) (1)
anneal (13) 0.86527353843322
TESTb633b550cf-pandas_testing_dataset (1)
test (4) 0.83333333333333
TEST51ef687b9d-pandas_testing_dataset (1)
TESTed4a84a4bb-pandas_testing_dataset (1)
test (3) 0.83333333333333
test (1) 0.83333333333333
test (2) 0.83333333333333
TEST51ef687b9d-pandas_testing_dataset (4)
anneal (9) 0.99434156378601
TESTaf99b42041-ModifiedWeather (1)
XOR (2)
test (9) 0.83333333333333
anneal (17) 0.86527353843322
test (7) 0.83333333333333
TESTe216022baf-UploadTestWithURL (1)
iris-challenge (1) 0.80100000688236
TEST8facacd8dc-UploadTestWithURL (1)
test (10) 0.83333333333333
test (14) 0.83333333333333
test (5) 0.83333333333333
test (13) 0.83333333333333
test (12) 0.83333333333333
TEST51ef687b9d-pandas_testing_dataset (3)
TESTed4a84a4bb-pandas_testing_dataset (3) 0.2
anneal (3) 0.86527353843322
anneal (23) 0.86527353843322
TEST0ea351d931-pandas_testing_dataset (1)
anneal (24) 0.86527353843322
anneal (18) 0.86527353843322
test (11) 0.83333333333333
test (8) 0.83333333333333
anneal (26) 0.86527353843322
anneal (27) 0.86527353843322
anneal (39) 0.86527353843322
anneal (43) 0.86527353843322
anneal (63) 0.86527353843322
test (16) 0.83333333333333
TEST840571e677-pandas_testing_dataset (1)
anneal (58) 0.86527353843322
Weather (6) 0.3
anneal (62) 0.86527353843322
anneal (30) 0.86527353843322
test (24) 0.83333333333333
test (20) 0.83333333333333
anneal (66) 0.99434156378601
anneal (34) 0.86527353843322
anneal (38) 0.86527353843322
anneal (41) 0.86527353843322
Weather (3) 0.3
XOR (4)
Weather (4) 0.3
Weather (8) 0.3
test (19) 0.83333333333333
test (21) 0.83333333333333
Diabetes(scikit-learn) (3)
XOR (3)
anneal (48) 0.86527353843322
XOR (6)
test (27) 0.83333333333333
XOR (5)
spambase (1) 0.79415741247059
anneal (49) 0.86527353843322
test (33) 0.83333333333333
anneal (32) 0.86527353843322
anneal (45) 0.86527353843322
anneal (16) 0.86527353843322
anneal (57) 0.86527353843322
Weather (5) 0.3
test (26) 0.83333333333333
XOR (7)
test (36) 0.83333333333333
test (23) 0.83333333333333
anneal (59) 0.86527353843322
test (28) 0.83333333333333
anneal (42) 0.86527353843322
anneal (33) 0.86527353843322
test (15) 0.83333333333333
anneal (37) 0.99434156378601
anneal (53) 0.86527353843322
anneal (25) 0.86527353843322
anneal (56) 0.99434156378601
test (39) 0.83333333333333
TEST2fe1e97c97-pandas_testing_dataset (1)
test (35) 0.83333333333333
test (29) 0.83333333333333
test (31) 0.83333333333333
anneal (52) 0.86527353843322
Diabetes(scikit-learn) (4)
anneal (54) 0.86527353843322
Weather (7) 0.3
test (22) 0.83333333333333
test (38) 0.83333333333333
test (32) 0.83333333333333
test (18) 0.83333333333333
Diabetes(scikit-learn) (2)
vineyard (1)
anneal (31) 0.86527353843322
Weather (9) 0.3
Diabetes(scikit-learn) (5)
TESTccda34c750-pandas_testing_dataset (1)
anneal (74) 0.86527353843322
Weather (11) 0.3
anneal (61) 0.86527353843322
test (17) 0.83333333333333
TEST22dd0ebd9b-ModifiedWeather (1)
anneal (36) 0.86527353843322
test (43) 0.83333333333333
XOR (9)
anneal (89) 0.86527353843322
TESTee7d03de92-pandas_testing_dataset (1)
anneal (77) 0.86527353843322
anneal (84) 0.86527353843322
TEST76d8cfa095-pandas_testing_dataset (1)
XOR (10)
autoPrice (1)
quake (1)
TEST5f1dfbd75d-pandas_testing_dataset (1)
anneal (95) 0.86527353843322
anneal (80) 0.86527353843322
test (40) 0.83333333333333
TESTda410c34dc-pandas_testing_dataset (2)
TEST398fcda80b-ModifiedWeather (1)
TEST7e318eb969-pandas_testing_dataset (3) 0.2
Weather (10) 0.3
test (41) 0.83333333333333
TEST76d8cfa095-pandas_testing_dataset (3)
test (49) 0.83333333333333
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) 0.86527353843322
TEST2fb3e3c09b-XOR (1)
anneal (101) 0.86527353843322
anneal (92) 0.86527353843322
anneal (75) 0.86527353843322
XOR (8)
Weather (14) 0.3
TESTccda34c750-pandas_testing_dataset (3) 0.2
test (42) 0.83333333333333
test (30) 0.83333333333333
XOR (13)
anneal (103) 0.86527353843322
Weather (12) 0.3
anneal (90) 0.86527353843322
anneal (73) 0.86527353843322
anneal (88) 0.99434156378601
TESTe2a3b91028-ModifiedWeather (1)
TESTf7444a8ea4-pandas_testing_dataset (3) 0.2
TEST07c2b360c0-pandas_testing_dataset (3) 0.2
TEST7e318eb969-pandas_testing_dataset (2)
test (47) 0.83333333333333
test (50) 0.83333333333333
TESTda410c34dc-pandas_testing_dataset (1)
anneal (98) 0.86527353843322
test (37) 0.83333333333333
anneal (86) 0.99434156378601
anneal (105) 0.99434156378601
anneal (87) 0.86527353843322
anneal (99) 0.86527353843322
test (44) 0.83333333333333
TESTcf74ef9481-XOR (1)
XOR (12)
test (51) 0.83333333333333
anneal (91) 0.65745452680268
test (46) 0.83333333333333
test (45) 0.83333333333333
test (52) 0.83333333333333
anneal (44) 0.86527353843322
anneal (79) 0.86527353843322
anneal (28) 0.86527353843322
test (48) 0.83333333333333
TEST7e318eb969-pandas_testing_dataset (1)
TESTda410c34dc-pandas_testing_dataset (4)
TEST07c2b360c0-pandas_testing_dataset (2)
TESTdcaa77be46-XOR (1)
TEST8eecdebbd6-XOR (1)
anneal (102) 0.86527353843322
Diabetes(scikit-learn) (7)
anneal (97) 0.86527353843322
TEST2302efba1e-XOR (1)
anneal (72) 0.99434156378601
test (34) 0.83333333333333
TEST07c2b360c0-pandas_testing_dataset (1)
Weather (13) 0.3
TESTc09922bc0f-XOR (1)
test (25) 0.83333333333333
TEST76d8cfa095-pandas_testing_dataset (2)
TEST76d8cfa095-pandas_testing_dataset (4)
anneal (11) 0.86527353843322
anneal (106) 0.86527353843322
anneal (115) 0.99434156378601
XOR (18)
anneal (116) 0.65745452680268
anneal (113) 0.86527353843322
anneal (107) 0.86527353843322
anneal (82) 0.86527353843322
anneal (114) 0.86527353843322
Diabetes(scikit-learn) (9)
Diabetes(scikit-learn) (8)
Diabetes(scikit-learn) (10)
anneal (119) 0.86527353843322
anneal (118) 0.86527353843322
XOR (21)
Weather (17) 0.3
Weather (21) 0.3
XOR (23)
XOR (19)
XOR (17)
XOR (16)
XOR (24)
Diabetes(scikit-learn) (11)
anneal (108) 0.86527353843322
cloud (1)
anneal (141) 0.86527353843322
Weather (18) 0.3
anneal (147) 0.86527353843322
anneal (136) 0.86527353843322
anneal (135) 0.99434156378601
anneal (122) 0.99434156378601
XOR (22)
Weather (22) 0.3
anneal (112) 0.86527353843322
XOR (29)
anneal (128) 0.86527353843322
anneal (139) 0.86527353843322
XOR (27)
cholesterol (1)
fourclass_scale (1)
anneal (151) 0.86527353843322
anneal (132) 0.86527353843322
anneal (156) 0.86527353843322
anneal (134) 0.86527353843322
anneal (149) 0.86527353843322
Weather (16) 0.3
Weather (15) 0.3
Weather (27) 0.3
anneal (126) 0.86527353843322
anneal (167) 0.86527353843322
anneal (127) 0.86527353843322
anneal (131) 0.86527353843322
anneal (124) 0.99434156378601
Diabetes(scikit-learn) (15)
Diabetes(scikit-learn) (14)
anneal (143) 0.86527353843322
anneal (121) 0.86527353843322
anneal (146) 0.86527353843322
anneal (158) 0.86527353843322
anneal (120) 0.86527353843322
anneal (117) 0.99434156378601
Weather (24) 0.3
Diabetes(scikit-learn) (12)
XOR (31)
anneal (150) 0.86527353843322
XOR (32)
Weather (23) 0.3
anneal (160) 0.86527353843322
Diabetes(scikit-learn) (17)
anneal (155) 0.86527353843322
Weather (30) 0.3
anneal (110) 0.86527353843322
anneal (173) 0.99434156378601
Weather (20) 0.3
TEST569e152152-pandas_testing_dataset (2)
XOR (33)
Weather (26) 0.3
Weather (28) 0.3
XOR (15)
anneal (137) 0.99434156378601
Weather (19) 0.3
anneal (144) 0.86527353843322
XOR (25)
anneal (166) 0.99434156378601
XOR (30)
anneal (159) 0.86527353843322
anneal (161) 0.86527353843322
anneal (154) 0.86527353843322
anneal (125) 0.86527353843322
Weather (31) 0.3
Weather (34) 0.3
anneal (168) 0.86527353843322
anneal (172) 0.86527353843322
anneal (140) 0.86527353843322
anneal (129) 0.86527353843322
anneal (174) 0.86527353843322
XOR (20)
Weather (25) 0.3
Diabetes(scikit-learn) (16)
XOR (34)
XOR (28)
anneal (162) 0.86527353843322
anneal (109) 0.86527353843322
anneal (171) 0.86527353843322
anneal (164) 0.86527353843322
anneal (145) 0.86527353843322
anneal (123) 0.99434156378601
Weather (33) 0.3
Diabetes(scikit-learn) (13)
XOR (26)
anneal (152) 0.86527353843322
anneal (169) 0.86527353843322
anneal (142) 0.99434156378601
Weather (29) 0.3
Weather (32) 0.3
TEST63cd902071-pandas_testing_dataset (2)
anneal (175) 0.86527353843322
TESTe55d2d0c3d-pandas_testing_dataset (2)
anneal (177) 0.86527353843322
TESTe55d2d0c3d-pandas_testing_dataset (3) 0.2
anneal (178) 0.65745452680268
TEST9d96ec7ade-UploadTestWithURL (1)
anneal (180) 0.86527353843322
TESTcf61db30f6-pandas_testing_dataset (1)
anneal (181) 0.86527353843322
TEST63cd902071-pandas_testing_dataset (4)
TEST63cd902071-pandas_testing_dataset (3)
TESTada3067c77-XOR (1)
TESTf112d7f8be-XOR (1)
TEST9ecb165245-UploadTestWithURL (1)
anneal (179) 0.86527353843322
TESTaebada2a36-ModifiedWeather (1)
TESTe55d2d0c3d-pandas_testing_dataset (1)
TEST63cd902071-pandas_testing_dataset (1)
anneal (182) 0.86527353843322
anneal (183) 0.86527353843322
anneal (184) 0.86527353843322
anneal (185) 0.86527353843322
Weather (35) 0.3
anneal (190) 0.86527353843322
anneal (187) 0.86527353843322
anneal (192) 0.86527353843322
anneal (191) 0.99434156378601
Weather (36) 0.3
XOR (36)
wisconsin (1)
anneal (186) 0.86527353843322
anneal (189) 0.86527353843322
Diabetes(scikit-learn) (18)
XOR (35)
anneal (193) 0.65745452680268
ModifiedWeather (1)
XOR (37)
XOR (38)
UploadTestWithURL (1)
UploadTestWithURL (2)
anneal (195) 0.86527353843322
anneal (198) 0.86527353843322
anneal (194) 0.86527353843322
anneal (201) 0.86527353843322
Weather (38) 0.3
XOR (39)
Weather (37) 0.3
Diabetes(scikit-learn) (19)
anneal (199) 0.86527353843322
anneal (196) 0.86527353843322
anneal (200) 0.99434156378601
XOR (40)
anneal (176) 0.86527353843322
anneal (208) 0.86527353843322
anneal (202) 0.86527353843322
anneal (206) 0.99434156378601
Weather (39) 0.3
XOR (42)
anneal (203) 0.86527353843322
anneal (209) 0.86527353843322
anneal (207) 0.86527353843322
anneal (204) 0.86527353843322
Weather (40) 0.3
Diabetes(scikit-learn) (20)
XOR (41)
anneal (94) 0.86527353843322
anneal (213) 0.86527353843322
anneal (215) 0.86527353843322
Diabetes(scikit-learn) (21)
Weather (42) 0.3
Weather (41) 0.3
XOR (43)
anneal (211) 0.86527353843322
anneal (210) 0.86527353843322
anneal (214) 0.86527353843322
anneal (212) 0.86527353843322
anneal (218) 0.99434156378601
XOR (44)
anneal (222) 0.86527353843322
Weather (43) 0.3
anneal (220) 0.86527353843322
XOR (46)
anneal (224) 0.86527353843322
anneal (226) 0.86527353843322
anneal (219) 0.86527353843322
Diabetes(scikit-learn) (22)
XOR (45)
anneal (221) 0.86527353843322
anneal (225) 0.99434156378601
Weather (44) 0.3
fruitfly (1)
sleep (1)
anneal (234) 0.86527353843322
Diabetes(scikit-learn) (23)
anneal (244) 0.99434156378601
XOR (50)
anneal (228) 0.86527353843322
anneal (237) 0.86527353843322
anneal (242) 0.86527353843322
anneal (231) 0.99434156378601
Weather (47) 0.3
Weather (45) 0.3
TEST08f51af3c8-pandas_testing_dataset (1)
TESTa365aee568-UploadTestWithURL (1)
anneal (233) 0.86527353843322
anneal (240) 0.86527353843322
anneal (229) 0.86527353843322
TEST037907c164-pandas_testing_dataset (3) 0.2
TESTa540f38c2d-pandas_testing_dataset (1)
TESTfd496f5b4d-XOR (1)
TEST037907c164-pandas_testing_dataset (2)
XOR (47)
XOR (48)
TEST82462bce44-UploadTestWithURL (1)
XOR (49)
anneal (241) 0.86527353843322
anneal (227) 0.86527353843322
anneal (236) 0.86527353843322
TESTa540f38c2d-pandas_testing_dataset (4)
Weather (46) 0.3
Weather (48) 0.3
anneal (235) 0.65745452680268
TESTa540f38c2d-pandas_testing_dataset (2)
TESTa540f38c2d-pandas_testing_dataset (3)
anneal (238) 0.86527353843322
Diabetes(scikit-learn) (24)
GermanCreditModified (1)
GermanCreditModified (3)
GermanCreditModified (2)
TEST062fea70c5-XOR (1)
anneal (249) 0.86527353843322
Weather (50) 0.3
anneal (246) 0.86527353843322
anneal (251) 0.86527353843322
anneal (252) 0.86527353843322
anneal (247) 0.86527353843322
anneal (245) 0.86527353843322
XOR (51)
anneal (250) 0.99434156378601
Weather (49) 0.3
Diabetes(scikit-learn) (25)
XOR (52)
pharynx (1)
anneal (232) 0.86527353843322
bolts (1)
cpu_act (1)
delta_elevators (1)
kin8nm (1)
diabetes_numeric (1)
satimage (1) 0.71093692129526
anneal (253) 0.86527353843322
anneal (255) 0.86527353843322
anneal (257) 0.86527353843322
anneal (260) 0.99434156378601
Weather (52) 0.3
Diabetes(scikit-learn) (26)
anneal (258) 0.86527353843322
XOR (54)
anneal (254) 0.86527353843322
anneal (259) 0.86527353843322
Weather (51) 0.3
XOR (53)
anneal (264) 0.86527353843322
Diabetes(scikit-learn) (27)
anneal (266) 0.86527353843322
Weather (53) 0.3
anneal (263) 0.86527353843322
Weather (54) 0.3
anneal (265) 0.86527353843322
anneal (262) 0.86527353843322
anneal (261) 0.86527353843322
anneal (269) 0.99434156378601
XOR (56)
XOR (55)
semeion (1) 0.68377115788714
anneal (271) 0.86527353843322
anneal (274) 0.86527353843322
anneal (278) 0.99434156378601
TESTa16e77a23a-pandas_testing_dataset (1)
anneal (275) 0.86527353843322
anneal (272) 0.86527353843322
anneal (276) 0.86527353843322
anneal (270) 0.86527353843322
Weather (55) 0.3
Weather (56) 0.3
Diabetes(scikit-learn) (28)
XOR (58)
XOR (57)
anneal (279) 0.65745452680268
TEST48d84f339b-UploadTestWithURL (1)
TEST119265b835-UploadTestWithURL (1)
pbc (1)
pol (1)
anneal (296) 0.86527353843322
anneal (293) 0.86527353843322
anneal (288) 0.86527353843322
anneal (291) 0.86527353843322
anneal (292) 0.86527353843322
anneal (280) 0.86527353843322
anneal (287) 0.86527353843322
anneal (286) 0.99434156378601
Weather (57) 0.3
XOR (60)
XOR (59)
anneal (281) 0.86527353843322
anneal (285) 0.86527353843322
anneal (282) 0.86527353843322
anneal (283) 0.86527353843322
Weather (58) 0.3
Diabetes(scikit-learn) (29)
mbagrade (1)
cleveland (1)
auto_price (1)
waveform-5000 (1) 0.71144167552988
climate-model-simulation-crashes (1) 0.75041806020067
anneal (304) 0.86527353843322
anneal (306) 0.86527353843322
anneal (295) 0.86527353843322
anneal (298) 0.86527353843322
XOR (61)
anneal (297) 0.86527353843322
anneal (305) 0.86527353843322
anneal (294) 0.86527353843322
anneal (290) 0.86527353843322
anneal (300) 0.86527353843322
anneal (289) 0.86527353843322
anneal (307) 0.99434156378601
Weather (60) 0.3
Weather (59) 0.3
Diabetes(scikit-learn) (30)
anneal (299) 0.86527353843322
XOR (62)
anneal (301) 0.86527353843322
anneal (302) 0.86527353843322
segment (1) 0.77494829244829
abalone (1) 0.6428136589927
MiceProtein (1) 0.78510537882402
detroit (1)
anneal (319) 0.86527353843322
anneal (316) 0.86527353843322
anneal (318) 0.86527353843322
anneal (321) 0.86527353843322
anneal (320) 0.86527353843322
anneal (317) 0.86527353843322
anneal (309) 0.86527353843322
anneal (314) 0.99434156378601
Weather (62) 0.3
XOR (63)
Diabetes(scikit-learn) (31)
XOR (64)
anneal (311) 0.86527353843322
anneal (312) 0.86527353843322
anneal (310) 0.86527353843322
anneal (308) 0.86527353843322
anneal (315) 0.86527353843322
Weather (61) 0.3
UNIX_user_data (1)
autoMpg (1)
lowbwt (1)
longley (1)
anneal (328) 0.86527353843322
anneal (324) 0.86527353843322
anneal (329) 0.86527353843322
anneal (326) 0.99434156378601
Weather (63) 0.3
Weather (64) 0.3
Diabetes(scikit-learn) (32)
anneal (323) 0.86527353843322
anneal (327) 0.86527353843322
anneal (322) 0.86527353843322
XOR (66)
XOR (65)
anneal (330) 0.86527353843322
anneal (1) 0.86527353843322
anneal (333) 0.86527353843322
anneal (332) 0.86527353843322
anneal (335) 0.86527353843322
anneal (334) 0.86527353843322
anneal (331) 0.86527353843322
kr-vs-kp (1) 0.6714034536325
mfeat-pixel (1) 0.72209333333333
mfeat-morphological (1) 0.76125
mfeat-factors (1) 0.72074694444444
mushroom (1) 0.88949352757722
breast-w (1) 0.92490804326949
mfeat-karhunen (1) 0.69366666666667
letter (1) 0.65745452680268
mfeat-zernike (1) 0.68061972222222
cmc (1) 0.55529504878007
mfeat-fourier (1) 0.72435
isolet (1) 0.72845507988573
vowel (2) 0.67746801346801
scene (1) 0.68064629380877
monks-problems-1 (1) 0.7455035971223
monks-problems-2 (1) 0.49842693867519
monks-problems-3 (1) 0.78108683166249
sick (1) 0.93221275570894
soybean (1) 0.80996314891043
splice (1) 0.77174843056733
tic-tac-toe (1) 0.66784229570037
electricity (1) 0.73051669015711
eucalyptus (1) 0.7519401667351
credit-a (1) 0.85903759961218
credit-g (1) 0.6647619047619
pendigits (1) 0.71733730912643
diabetes (1) 0.71111940298507
optdigits (1) 0.6854786317523
cnae-9 (1) 0.65489245756173
eeg-eye-state (1) 0.57308968896727
first-order-theorem-proving (1) 0.59580414302059
har (1) 0.79733120563542
ilpd (1) 0.62966374942423
madelon (1) 0.61775976331361
Amazon_employee_access (1) 0.51671745311093
PhishingWebsites (1) 0.88485341340146
GesturePhaseSegmentationProcessed (1) 0.6551030443935
cylinder-bands (2) 0.68569360098965
cjs (3) 0.59884746225952
LED-display-domain-7digit (1) 0.70918365075942
wall-robot-navigation (1) 0.78158920990402
steel-plates-fault (1) 0.64938642830023
tamilnadu-electricity (1) 0.56312679010175
wilt (1) 0.66649802738066
adult (2) 0.75951826251904
Bioresponse (1) 0.73263117566312
gina_agnostic (1) 0.72498989492384
ada_agnostic (1) 0.74545838527233
mozilla4 (1) 0.8994176960934
pc4 (1) 0.83380661867978
pc3 (1) 0.70602949037776
jm1 (1) 0.66208359281792
JapaneseVowels (1) 0.69950603494639
irish (1) 0.85015231058397
analcatdata_authorship (1) 0.74870630321848
analcatdata_dmft (1) 0.5419986240586
profb (1) 0.6251295440051
collins (1) 0.68609899478873
sylva_agnostic (1) 0.91863287529909
kc2 (1) 0.73073978155613
kc1 (1) 0.71237471140182
pc1 (1) 0.72741115473674
musk (1) 0.60524673103381
Click_prediction_small (5) 0.57741940015792
artificial-characters (1) 0.5951307352821
bank-marketing (1) 0.70454838011832
banknote-authentication (1) 0.83449614904694
blood-transfusion-service-center (1) 0.67776463630988
cardiotocography (1) 0.74852959309132
nomao (1) 0.8367482155029
ozone-level-8hr (1) 0.73276642796967
phoneme (1) 0.74048667392857
one-hundred-plants-margin (1) 0.72464232165404
one-hundred-plants-shape (1) 0.72764244002525
one-hundred-plants-texture (1) 0.69721831973962
qsar-biodeg (1) 0.75799697802639
micro-mass (2) 0.72441814382675
vehicle (1) 0.64928647099814
texture (1) 0.73989992727273
Australian (3) 0.85896956140873
iris (1) 0.83333333333333
gas-drift (1) 0.71398293378896
synthetic_control (1) 0.76097
wdbc (1) 0.87215924105491
dresses-sales (2) 0.56899835796388
hill-valley (1) 0.51187383589844
car (1) 0.72162236100739
MagicTelescope (1) 0.72972727136931
balance-scale (1) 0.64691943620178