Measure

J48.00001.AUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001

Value per dataset

credit-g (1) 0.66174761904762
pc1 (1) 0.56554540420819
first-order-theorem-proving (1) 0.7129106639983
hill-valley (1) 0.5
mushroom (1) 1
pc3 (1) 0.53120322523165
steel-plates-fault (1) 1
madelon (1) 0.62318165680473
phoneme (1) 0.8678687005272
vineyard (1)
isolet (1) 0.91883492454149
synthetic_control (1) 0.93776333333333
abalone (1) 0.58274545477168
mfeat-fourier (1) 0.85942194444444
mozilla4 (1) 0.94715778543431
cylinder-bands (2) 0.6607624831309
spambase (1) 0.92454166900775
banknote-authentication (1) 0.98748009982359
MiceProtein (1) 1
adult (2) 0.88566296717319
MagicTelescope (1) 0.85191922015622
pbc (1)
fourclass_scale (1)
mfeat-morphological (1) 0.91142041666667
bolts (1)
pharynx (1)
diabetes_numeric (1)
pendigits (1) 0.98177497879659
anneal (7) 0.93915853687672
semeion (1) 0.85665986354922
satimage (1) 0.91972593425361
vehicle (1) 0.83167338594414
GesturePhaseSegmentationProcessed (1) 0.68975438450934
wilt (1) 0.92252050034397
electricity (1) 0.90220359245982
breast-w (1) 0.92696008262516
musk (1) 0.99469297872382
anneal (6) 0.93915853687672
profb (1) 0.54960040656888
jm1 (1) 0.65927323545883
anneal (3) 0.93915853687672
anneal (17) 0.93915853687672
autoPrice (1)
cleveland (1)
cardiotocography (1) 1
scene (1) 0.97873495871573
ilpd (1) 0.65807807461999
mfeat-zernike (1) 0.86092319444444
wisconsin (1)
anneal (15) 0.93915853687672
anneal (22) 0.93915853687672
car (1) 0.96740690511816
cnae-9 (1) 0.95952160493827
gina_agnostic (1) 0.84379398619056
kin8nm (1)
iris (2) 0.95653333333333
delta_elevators (1)
qsar-biodeg (1) 0.83374322868946
monks-problems-1 (1) 0.96291599813674
anneal (14) 0.93915853687672
texture (1) 0.9627766
lowbwt (1)
anneal (2) 0.93915853687672
Australian (3) 0.83595563909135
eucalyptus (1) 0.81841371516832
one-hundred-plants-shape (1) 0.73323686079545
analcatdata_dmft (1) 0.52947404856118
anneal (34) 0.93915853687672
anneal (29) 0.93915853687672
anneal (23) 0.93915853687672
pol (1)
mbagrade (1)
Amazon_employee_access (1) 0.49986821296784
letter (1) 0.93796760531256
one-hundred-plants-texture (1) 0.74226236688825
TEST1c848ab209-pandas_testing_dataset (3) 0.2
PhishingWebsites (1) 0.97543648758533
detroit (1)
sylva_agnostic (1) 0.95700228774831
anneal (28) 0.93915853687672
anneal (53) 0.93915853687672
tamilnadu-electricity (1) 1
iris-challenge (1) 0.91137585255232
cholesterol (1)
anneal (41) 0.93915853687672
anneal (10) 0.93915853687672
anneal (35) 0.93915853687672
wdbc (1) 0.93708709899054
anneal (43) 0.93915853687672
anneal (60) 0.93915853687672
TESTebb33ef4fa-XOR (1)
anneal (44) 0.93915853687672
wall-robot-navigation (1) 0.99587513580113
anneal (25) 0.93915853687672
TEST29f9ae6987-XOR (1)
har (1) 0.96423375285056
Bioresponse (1) 0.70345191728959
artificial-characters (1) 0.92668755969741
anneal (51) 0.93915853687672
TEST0a3f20a3a8-pandas_testing_dataset (3) 0.2
anneal (37) 0.93915853687672
anneal (61) 0.93915853687672
anneal (8) 0.93915853687672
vowel (2) 0.87303142536476
nomao (1) 0.94655802980911
anneal (5) 0.93915853687672
anneal (87) 0.93915853687672
TESTc16ac7f367-pandas_testing_dataset (3)
anneal (62) 0.93915853687672
anneal (73) 0.93915853687672
anneal (65) 0.93915853687672
pc4 (1) 0.70757329705056
TEST861d5ffaea-XOR (1)
anneal (77) 0.93915853687672
anneal (59) 0.93915853687672
anneal (74) 0.93915853687672
gas-drift (1) 0.98314644608484
anneal (4) 0.93915853687672
LED-display-domain-7digit (1) 0.8868692509275
anneal (32) 0.93915853687672
anneal (9) 0.93915853687672
optdigits (1) 0.94216721397087
anneal (13) 0.93915853687672
mfeat-karhunen (1) 0.88964875
anneal (39) 0.93915853687672
anneal (55) 0.93915853687672
anneal (90) 0.93915853687672
JapaneseVowels (1) 0.93556581394227
anneal (38) 0.93915853687672
anneal (36) 0.93915853687672
anneal (71) 0.93915853687672
anneal (88) 0.93915853687672
anneal (19) 0.93915853687672
anneal (49) 0.93915853687672
anneal (93) 0.93915853687672
anneal (26) 0.93915853687672
anneal (72) 0.93915853687672
anneal (18) 0.93915853687672
anneal (33) 0.93915853687672
anneal (69) 0.59399339585177
anneal (56) 0.93915853687672
anneal (126) 0.93915853687672
sleep (1)
anneal (89) 0.93915853687672
anneal (42) 0.93915853687672
anneal (100) 0.93915853687672
monks-problems-2 (1) 0.53932653312031
anneal (115) 0.93915853687672
mfeat-factors (1) 0.92771027777778
anneal (91) 0.93915853687672
anneal (119) 0.93915853687672
TEST9103715299-pandas_testing_dataset (2)
sick (1) 0.93536751302919
anneal (111) 0.93915853687672
anneal (40) 0.93915853687672
anneal (132) 0.59399339585177
anneal (103) 0.93915853687672
anneal (133) 0.93915853687672
TEST1c3062c843-pandas_testing_dataset (3) 0.2
anneal (67) 0.93915853687672
anneal (95) 0.93915853687672
anneal (76) 0.93915853687672
anneal (144) 0.93915853687672
fruitfly (1)
anneal (16) 0.93915853687672
anneal (27) 0.93915853687672
TESTfab02098c0-pandas_testing_dataset (2)
splice (1) 0.95905001089863
anneal (147) 0.93915853687672
one-hundred-plants-margin (1) 0.72331340751263
anneal (80) 0.93915853687672
anneal (104) 0.93915853687672
TEST44eb4b8b3f-XOR (1)
anneal (97) 0.93915853687672
anneal (70) 0.93915853687672
anneal (125) 0.93915853687672
anneal (113) 0.93915853687672
ozone-level-8hr (1) 0.71185630791912
TESTb5b3545d7e-pandas_testing_dataset (3) 0.2
anneal (24) 0.93915853687672
TEST00a13efce9-pandas_testing_dataset (1)
triazines (1)
anneal (107) 0.93915853687672
anneal (173) 0.93915853687672
TESTfab02098c0-pandas_testing_dataset (3)
anneal (99) 0.93915853687672
anneal (176) 0.93915853687672
dresses-sales (2) 0.5
TESTa86b01f9a8-pandas_testing_dataset (3) 0.2
anneal (159) 0.93915853687672
anneal (158) 0.59399339585177
anneal (165) 0.93915853687672
TEST495d1e52d8-pandas_testing_dataset (1)
climate-model-simulation-crashes (1) 0.79752684386552
anneal (94) 0.93915853687672
anneal (146) 0.93915853687672
anneal (181) 0.93915853687672
anneal (178) 0.93915853687672
anneal (129) 0.93915853687672
anneal (131) 0.93915853687672
anneal (163) 0.93915853687672
TEST9b06efad03-pandas_testing_dataset (1)
TEST6abd679a4e-ModifiedWeather (1)
TEST388a9defc1-pandas_testing_dataset (4)
TEST84e16ea643-UploadTestWithURL (1)
mfeat-pixel (1) 0.89038263888889
anneal (105) 0.59399339585177
micro-mass (2) 0.87748633950618
anneal (148) 0.93915853687672
TESTd4a9ca9c2d-pandas_testing_dataset (3) 0.2
cmc (1) 0.65201640815429
TESTca4a634324-ModifiedWeather (1)
anneal (160) 0.93915853687672
anneal (136) 0.93915853687672
anneal (140) 0.93915853687672
anneal (121) 0.93915853687672
TEST5e105f0c38-pandas_testing_dataset (1)
anneal (164) 0.93915853687672
TEST78cf97e1d2-pandas_testing_dataset (3) 0.2
anneal (182) 0.59399339585177
TESTd746086797-XOR (1)
anneal (75) 0.93915853687672
anneal (112) 0.93915853687672
anneal (47) 0.93915853687672
anneal (153) 0.93915853687672
TEST9d1aa3a77e-XOR (1)
TEST495d1e52d8-pandas_testing_dataset (3) 0.2
TESTe3d8d93ab0-pandas_testing_dataset (3) 0.2
TEST0a395eb24e-XOR (1)
TEST5e105f0c38-pandas_testing_dataset (2)
cjs (3) 1
anneal (123) 0.93915853687672
TEST104676cb6a-pandas_testing_dataset (3)
anneal (201) 0.93915853687672
TEST2c4f0b6c26-pandas_testing_dataset (2)
anneal (155) 0.93915853687672
anneal (194) 0.93915853687672
anneal (167) 0.93915853687672
anneal (171) 0.93915853687672
anneal (162) 0.93915853687672
anneal (135) 0.93915853687672
anneal (223) 0.93915853687672
TESTdd0a5ebb6e-pandas_testing_dataset (2)
anneal (106) 0.93915853687672
TESTfab02098c0-pandas_testing_dataset (4)
anneal (161) 0.93915853687672
anneal (143) 0.93915853687672
anneal (197) 0.93915853687672
anneal (199) 0.93915853687672
anneal (137) 0.93915853687672
anneal (154) 0.93915853687672
anneal (134) 0.93915853687672
auto_price (1)
TEST104676cb6a-pandas_testing_dataset (4)
TESTd66c82a86b-ModifiedWeather (1)
TEST9b06efad03-pandas_testing_dataset (2)
kc1 (1) 0.70307849526372
anneal (228) 0.93915853687672
TEST0be3452fe0-pandas_testing_dataset (2)
anneal (212) 0.93915853687672
anneal (204) 0.93915853687672
anneal (79) 0.93915853687672
anneal (145) 0.93915853687672
anneal (229) 0.93915853687672
TESTdd0a5ebb6e-pandas_testing_dataset (1)
TEST388a9defc1-pandas_testing_dataset (2)
TEST104676cb6a-pandas_testing_dataset (1)
anneal (218) 0.93915853687672
TESTdd0a5ebb6e-pandas_testing_dataset (3)
anneal (198) 0.93915853687672
TEST0be3452fe0-pandas_testing_dataset (3) 0.2
anneal (98) 0.93915853687672
anneal (12) 0.93915853687672
anneal (214) 0.93915853687672
anneal (120) 0.93915853687672
anneal (209) 0.93915853687672
anneal (256) 0.93915853687672
anneal (110) 0.93915853687672
segment (1) 0.97669487078578
tic-tac-toe (1) 0.84932541668271
anneal (157) 0.59399339585177
TEST5e105f0c38-pandas_testing_dataset (3) 0.2
anneal (102) 0.93915853687672
anneal (262) 0.93915853687672
anneal (170) 0.93915853687672
TEST6ba4d7daec-XOR (1)
anneal (232) 0.59399339585177
anneal (237) 0.93915853687672
anneal (241) 0.93915853687672
anneal (221) 0.93915853687672
TESTc8f1eae46a-XOR (1)
TEST44aee7d221-ModifiedWeather (1)
TEST495d1e52d8-pandas_testing_dataset (2)
TEST2c4f0b6c26-pandas_testing_dataset (1)
autoMpg (1)
anneal (193) 0.93915853687672
anneal (219) 0.93915853687672
TEST2c4f0b6c26-pandas_testing_dataset (3) 0.2
TEST9103715299-pandas_testing_dataset (3) 0.2
anneal (208) 0.93915853687672
anneal (255) 0.93915853687672
anneal (203) 0.59399339585177
anneal (253) 0.93915853687672
anneal (270) 0.93915853687672
anneal (63) 0.93915853687672
anneal (210) 0.93915853687672
TEST388a9defc1-pandas_testing_dataset (3)
anneal (268) 0.93915853687672
anneal (271) 0.93915853687672
TESTe74389f4b6-XOR (1)
anneal (222) 0.93915853687672
anneal (195) 0.93915853687672
anneal (250) 0.93915853687672
anneal (205) 0.93915853687672
anneal (128) 0.93915853687672
anneal (233) 0.93915853687672
anneal (82) 0.93915853687672
TESTf738f069ca-pandas_testing_dataset (4)
anneal (225) 0.93915853687672
TESTdd0a5ebb6e-pandas_testing_dataset (4)
anneal (184) 0.93915853687672
anneal (68) 0.93915853687672
anneal (236) 0.93915853687672
anneal (186) 0.93915853687672
anneal (191) 0.93915853687672
anneal (166) 0.93915853687672
anneal (247) 0.93915853687672
anneal (248) 0.93915853687672
anneal (269) 0.93915853687672
anneal (11) 0.93915853687672
anneal (92) 0.93915853687672
anneal (267) 0.93915853687672
anneal (226) 0.59399339585177
anneal (257) 0.93915853687672
anneal (190) 0.93915853687672
anneal (263) 0.93915853687672
TESTdd2273bbad-pandas_testing_dataset (3) 0.2
TESTbdcda46197-pandas_testing_dataset (3) 0.2
quake (1)
TESTcbac53b2c5-XOR (1)
anneal (57) 0.93915853687672
TESTb7d5691345-XOR (1)
anneal (192) 0.93915853687672
anneal (230) 0.93915853687672
anneal (202) 0.59399339585177
anneal (251) 0.93915853687672
anneal (206) 0.93915853687672
anneal (139) 0.93915853687672
anneal (188) 0.93915853687672
TEST5037c378b1-pandas_testing_dataset (3) 0.2
TEST388a9defc1-pandas_testing_dataset (1)
anneal (152) 0.93915853687672
TEST9b06efad03-pandas_testing_dataset (3) 0.2
anneal (266) 0.93915853687672
anneal (187) 0.93915853687672
anneal (200) 0.93915853687672
anneal (254) 0.93915853687672
anneal (242) 0.59399339585177
anneal (240) 0.93915853687672
anneal (213) 0.93915853687672
anneal (183) 0.93915853687672
Click_prediction_small (5) 0.57849030192548
anneal (156) 0.93915853687672
TEST2f9e899c65-XOR (1)
anneal (246) 0.93915853687672
anneal (151) 0.93915853687672
anneal (52) 0.59399339585177
anneal (109) 0.93915853687672
anneal (215) 0.93915853687672
anneal (261) 0.93915853687672
anneal (168) 0.93915853687672
TEST3620d8fbd0-XOR (1)
anneal (258) 0.59399339585177
irish (1) 1
anneal (239) 0.59399339585177
anneal (252) 0.59399339585177
anneal (81) 0.59399339585177
anneal (244) 0.93915853687672
TEST104676cb6a-pandas_testing_dataset (2)
TESTc16ac7f367-pandas_testing_dataset (4)
TESTfab02098c0-pandas_testing_dataset (1)
anneal (275) 0.93915853687672
anneal (274) 0.59399339585177
anneal (312) 0.93915853687672
anneal (280) 0.93915853687672
anneal (286) 0.93915853687672
anneal (301) 0.93915853687672
anneal (282) 0.59399339585177
anneal (284) 0.93915853687672
anneal (273) 0.93915853687672
anneal (278) 0.93915853687672
anneal (333) 0.93915853687672
anneal (318) 0.59399339585177
anneal (359) 0.59399339585177
anneal (356) 0.93915853687672
anneal (385) 0.93915853687672
anneal (379) 0.93915853687672
anneal (298) 0.93915853687672
anneal (311) 0.93915853687672
anneal (320) 0.93915853687672
anneal (362) 0.93915853687672
anneal (355) 0.93915853687672
anneal (357) 0.59399339585177
anneal (337) 0.59399339585177
anneal (381) 0.59399339585177
anneal (335) 0.59399339585177
anneal (336) 0.93915853687672
anneal (384) 0.93915853687672
TESTfa348335d3-pandas_testing_dataset (3) 0.2
anneal (332) 0.93915853687672
anneal (346) 0.93915853687672
anneal (388) 0.93915853687672
anneal (305) 0.93915853687672
anneal (343) 0.93915853687672
anneal (288) 0.93915853687672
TEST845a642017-pandas_testing_dataset (3) 0.2
anneal (340) 0.93915853687672
anneal (374) 0.93915853687672
anneal (372) 0.93915853687672
anneal (371) 0.59399339585177
TEST5b30e679ed-pandas_testing_dataset (1)
anneal (383) 0.93915853687672
anneal (358) 0.93915853687672
anneal (395) 0.93915853687672
TEST6f97db9a3e-ModifiedWeather (1)
anneal (290) 0.93915853687672
anneal (324) 0.93915853687672
TEST5b30e679ed-pandas_testing_dataset (4)
TEST7dc1ecdb15-XOR (1)
anneal (354) 0.93915853687672
anneal (303) 0.93915853687672
anneal (319) 0.93915853687672
anneal (334) 0.93915853687672
anneal (405) 0.93915853687672
anneal (404) 0.93915853687672
anneal (308) 0.93915853687672
anneal (398) 0.93915853687672
anneal (291) 0.93915853687672
TEST6dc49fc872-pandas_testing_dataset (2)
anneal (402) 0.93915853687672
TESTb410f44fd0-pandas_testing_dataset (3)
anneal (317) 0.59399339585177
TESTb410f44fd0-pandas_testing_dataset (1)
TESTc5c73d43cf-XOR (1)
anneal (360) 0.93915853687672
anneal (403) 0.93915853687672
anneal (277) 0.93915853687672
anneal (407) 0.93915853687672
TEST5b30e679ed-pandas_testing_dataset (3)
anneal (410) 0.93915853687672
anneal (361) 0.93915853687672
TEST9161e0d711-pandas_testing_dataset (3) 0.2
TESTeedf1c617e-pandas_testing_dataset (3)
TEST58188dfbc6-pandas_testing_dataset (3)
TESTa5e33d6c29-pandas_testing_dataset (1)
TESTb410f44fd0-pandas_testing_dataset (2)
TEST6dc49fc872-pandas_testing_dataset (1)
TESTb918af0e2d-pandas_testing_dataset (4)
anneal (409) 0.93915853687672
anneal (347) 0.93915853687672
anneal (295) 0.93915853687672
anneal (348) 0.93915853687672
TEST0938a9daba-pandas_testing_dataset (3) 0.2
anneal (287) 0.93915853687672
TESTca5628eaef-pandas_testing_dataset (1)
anneal (314) 0.93915853687672
anneal (408) 0.93915853687672
TESTc9ed3920cd-XOR (1)
TESTeedf1c617e-pandas_testing_dataset (2)
TESTa5e33d6c29-pandas_testing_dataset (3) 0.2
TESTa10ede6728-XOR (1)
anneal (342) 0.93915853687672
TESTeedf1c617e-pandas_testing_dataset (4)
TESTb918af0e2d-pandas_testing_dataset (3)
anneal (422) 0.93915853687672
anneal (296) 0.93915853687672
anneal (276) 0.93915853687672
anneal (418) 0.93915853687672
anneal (304) 0.93915853687672
anneal (399) 0.93915853687672
TESTa5e33d6c29-pandas_testing_dataset (2)
anneal (390) 0.93915853687672
TEST10c25a3b38-pandas_testing_dataset (3) 0.2
anneal (424) 0.93915853687672
TESTed776f0840-pandas_testing_dataset (3) 0.2
anneal (412) 0.93915853687672
anneal (417) 0.59399339585177
anneal (283) 0.93915853687672
anneal (425) 0.93915853687672
anneal (400) 0.93915853687672
TESTed7333f3d2-ModifiedWeather (1)
anneal (420) 0.93915853687672
anneal (413) 0.93915853687672
anneal (423) 0.59399339585177
TESTf9ea71bde7-XOR (1)
anneal (325) 0.93915853687672
TEST5b30e679ed-pandas_testing_dataset (2)
anneal (434) 0.93915853687672
anneal (365) 0.93915853687672
anneal (426) 0.93915853687672
TEST855da0f4bb-ModifiedWeather (1)
TEST84e82f2c56-ModifiedWeather (1)
TESTb9093fb3b4-ModifiedWeather (1)
TEST178704e3b7-ModifiedWeather (1)
anneal (393) 0.93915853687672
TESTd655778eb6-ModifiedWeather (1)
anneal (438) 0.93915853687672
TEST17eccd9837-pandas_testing_dataset (3)
anneal (433) 0.93915853687672
TESTb918af0e2d-pandas_testing_dataset (2)
TESTca5628eaef-pandas_testing_dataset (2)
TESTf2a16c917e-XOR (1)
anneal (429) 0.93915853687672
anneal (443) 0.93915853687672
anneal (401) 0.59399339585177
anneal (363) 0.59399339585177
anneal (344) 0.93915853687672
anneal (380) 0.93915853687672
TEST6dc49fc872-pandas_testing_dataset (3) 0.2