Measure

RandomTreeDepth1AUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

Value per dataset

credit-g (1) 0.65802380952381
pc1 (1) 0.60275722339676
first-order-theorem-proving (1) 0.69432732320811
hill-valley (1) 0.53960396039604
mushroom (1) 0.9995247148289
pc3 (1) 0.5901193870278
steel-plates-fault (1) 0.93413010157447
madelon (1) 0.51115384615385
phoneme (1) 0.80656025054217
vineyard (1)
isolet (1) 0.7985895253273
synthetic_control (1) 0.925
abalone (1) 0.54902064982742
mfeat-fourier (1) 0.79138888888889
mozilla4 (1) 0.92007480802329
cylinder-bands (2) 0.60032551107113
spambase (1) 0.89117749934516
banknote-authentication (1) 0.98786411944409
MiceProtein (1) 0.66536720177252
adult (2) 0.75389272053503
MagicTelescope (1) 0.78946308724181
pbc (1)
fourclass_scale (1)
mfeat-morphological (1) 0.8167275
bolts (1)
pharynx (1)
diabetes_numeric (1)
pendigits (1) 0.96989821953811
anneal (7) 0.92969999896559
semeion (1) 0.80404281663422
satimage (1) 0.89911705549839
vehicle (1) 0.7905275081689
GesturePhaseSegmentationProcessed (1) 0.65696301072058
wilt (1) 0.86744701043973
electricity (1) 0.85117513285235
breast-w (1) 0.95169048558354
musk (1) 0.93115830381807
anneal (6) 0.92969999896559
profb (1) 0.54846440529337
jm1 (1) 0.59084020445352
anneal (3) 0.92969999896559
anneal (17) 0.92969999896559
autoPrice (1)
cleveland (1)
cardiotocography (1) 0.97218634557414
scene (1) 0.72496935382361
ilpd (1) 0.59963726393367
mfeat-zernike (1) 0.77972222222222
wisconsin (1)
anneal (15) 0.92969999896559
anneal (22) 0.92969999896559
car (1) 0.88420053560147
cnae-9 (1) 0.87604166666667
gina_agnostic (1) 0.75468867216804
kin8nm (1)
iris (2) 0.95
delta_elevators (1)
qsar-biodeg (1) 0.77363528957901
monks-problems-1 (1) 0.93459836447389
anneal (14) 0.92969999896559
texture (1) 0.941
lowbwt (1)
anneal (2) 0.92969999896559
Australian (3) 0.77144691744414
eucalyptus (1) 0.72195088133135
one-hundred-plants-shape (1) 0.68434343434343
analcatdata_dmft (1) 0.51751017141235
anneal (34) 0.92969999896559
anneal (29) 0.92969999896559
anneal (23) 0.92969999896559
pol (1)
mbagrade (1)
Amazon_employee_access (1) 0.76886040109429
letter (1) 0.90801395211613
one-hundred-plants-texture (1) 0.68699012391764
TEST1c848ab209-pandas_testing_dataset (3) 0.2
PhishingWebsites (1) 0.95527394547983
detroit (1)
sylva_agnostic (1) 0.83617467963419
anneal (28) 0.92969999896559
anneal (53) 0.92969999896559
tamilnadu-electricity (1) 1
iris-challenge (1) 0.90194701959408
cholesterol (1)
anneal (41) 0.92969999896559
anneal (10) 0.92969999896559
anneal (35) 0.92969999896559
wdbc (1) 0.93462290576608
anneal (43) 0.92969999896559
anneal (60) 0.92969999896559
TESTebb33ef4fa-XOR (1)
anneal (44) 0.92969999896559
wall-robot-navigation (1) 0.9820594724584
anneal (25) 0.92969999896559
TEST29f9ae6987-XOR (1)
har (1) 0.91102380478
Bioresponse (1) 0.67725458126239
artificial-characters (1) 0.88223261181597
anneal (51) 0.92969999896559
TEST0a3f20a3a8-pandas_testing_dataset (3) 0.2
anneal (37) 0.92969999896559
anneal (61) 0.92969999896559
anneal (8) 0.92969999896559
vowel (2) 0.84751739618406
nomao (1) 0.92737907283933
anneal (5) 0.92969999896559
anneal (87) 0.92969999896559
TESTc16ac7f367-pandas_testing_dataset (3)
anneal (62) 0.92969999896559
anneal (73) 0.92969999896559
anneal (65) 0.92969999896559
pc4 (1) 0.65783225070225
TEST861d5ffaea-XOR (1)
anneal (77) 0.92969999896559
anneal (59) 0.92969999896559
anneal (74) 0.92969999896559
gas-drift (1) 0.97556337947314
anneal (4) 0.92969999896559
LED-display-domain-7digit (1) 0.87376758161318
anneal (32) 0.92969999896559
anneal (9) 0.92969999896559
optdigits (1) 0.91033482078359
anneal (13) 0.92969999896559
mfeat-karhunen (1) 0.83
anneal (39) 0.92969999896559
anneal (55) 0.92969999896559
anneal (90) 0.92969999896559
JapaneseVowels (1) 0.90891276727508
anneal (38) 0.92969999896559
anneal (36) 0.92969999896559
anneal (71) 0.92969999896559
anneal (88) 0.92969999896559
anneal (19) 0.92969999896559
anneal (49) 0.92969999896559
anneal (93) 0.92969999896559
anneal (26) 0.92969999896559
anneal (72) 0.92969999896559
anneal (18) 0.92969999896559
anneal (33) 0.92969999896559
anneal (69) 0.63695842975244
anneal (56) 0.92969999896559
anneal (126) 0.92969999896559
sleep (1)
anneal (89) 0.92969999896559
anneal (42) 0.92969999896559
anneal (100) 0.92969999896559
monks-problems-2 (1) 0.62365122280939
anneal (115) 0.92969999896559
mfeat-factors (1) 0.89277777777778
anneal (91) 0.92969999896559
anneal (119) 0.92969999896559
TEST9103715299-pandas_testing_dataset (2)
sick (1) 0.78526116648619
anneal (111) 0.92969999896559
anneal (40) 0.92969999896559
anneal (132) 0.63695842975244
anneal (103) 0.92969999896559
anneal (133) 0.92969999896559
TEST1c3062c843-pandas_testing_dataset (3) 0.2
anneal (67) 0.92969999896559
anneal (95) 0.92969999896559
anneal (76) 0.92969999896559
anneal (144) 0.92969999896559
fruitfly (1)
anneal (16) 0.92969999896559
anneal (27) 0.92969999896559
TESTfab02098c0-pandas_testing_dataset (2)
splice (1) 0.77234901815601
anneal (147) 0.92969999896559
one-hundred-plants-margin (1) 0.66698232323232
anneal (80) 0.92969999896559
anneal (104) 0.92969999896559
TEST44eb4b8b3f-XOR (1)
anneal (97) 0.92969999896559
anneal (70) 0.92969999896559
anneal (125) 0.92969999896559
anneal (113) 0.92969999896559
ozone-level-8hr (1) 0.63062342038753
TESTb5b3545d7e-pandas_testing_dataset (3) 0.2
anneal (24) 0.92969999896559
TEST00a13efce9-pandas_testing_dataset (1)
triazines (1)
anneal (107) 0.92969999896559
anneal (173) 0.92969999896559
TESTfab02098c0-pandas_testing_dataset (3)
anneal (99) 0.92969999896559
anneal (176) 0.92969999896559
dresses-sales (2) 0.54527142857143
TESTa86b01f9a8-pandas_testing_dataset (3) 0.2
anneal (159) 0.92969999896559
anneal (158) 0.63695842975244
anneal (165) 0.92969999896559
TEST495d1e52d8-pandas_testing_dataset (1)
climate-model-simulation-crashes (1) 0.62180954057384
anneal (94) 0.92969999896559
anneal (146) 0.92969999896559
anneal (181) 0.92969999896559
anneal (178) 0.92969999896559
anneal (129) 0.92969999896559
anneal (131) 0.92969999896559
anneal (163) 0.92969999896559
TEST9b06efad03-pandas_testing_dataset (1)
TEST6abd679a4e-ModifiedWeather (1)
TEST388a9defc1-pandas_testing_dataset (4)
TEST84e16ea643-UploadTestWithURL (1)
mfeat-pixel (1) 0.79956069444444
anneal (105) 0.63695842975244
micro-mass (2) 0.71286171455618
anneal (148) 0.92969999896559
TESTd4a9ca9c2d-pandas_testing_dataset (3) 0.2
cmc (1) 0.60128867766755
TESTca4a634324-ModifiedWeather (1)
anneal (160) 0.92969999896559
anneal (136) 0.92969999896559
anneal (140) 0.92969999896559
anneal (121) 0.92969999896559
TEST5e105f0c38-pandas_testing_dataset (1)
anneal (164) 0.92969999896559
TEST78cf97e1d2-pandas_testing_dataset (3) 0.2
anneal (182) 0.63695842975244
TESTd746086797-XOR (1)
anneal (75) 0.92969999896559
anneal (112) 0.92969999896559
anneal (47) 0.92969999896559
anneal (153) 0.92969999896559
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) 0.93127654290675
anneal (123) 0.92969999896559
TEST104676cb6a-pandas_testing_dataset (3)
anneal (201) 0.92969999896559
TEST2c4f0b6c26-pandas_testing_dataset (2)
anneal (155) 0.92969999896559
anneal (194) 0.92969999896559
anneal (167) 0.92969999896559
anneal (171) 0.92969999896559
anneal (162) 0.92969999896559
anneal (135) 0.92969999896559
anneal (223) 0.92969999896559
TESTdd0a5ebb6e-pandas_testing_dataset (2)
anneal (106) 0.92969999896559
TESTfab02098c0-pandas_testing_dataset (4)
anneal (161) 0.92969999896559
anneal (143) 0.92969999896559
anneal (197) 0.92969999896559
anneal (199) 0.92969999896559
anneal (137) 0.92969999896559
anneal (154) 0.92969999896559
anneal (134) 0.92969999896559
auto_price (1)
TEST104676cb6a-pandas_testing_dataset (4)
TESTd66c82a86b-ModifiedWeather (1)
TEST9b06efad03-pandas_testing_dataset (2)
kc1 (1) 0.64040839007807
anneal (228) 0.92969999896559
TEST0be3452fe0-pandas_testing_dataset (2)
anneal (212) 0.92969999896559
anneal (204) 0.92969999896559
anneal (79) 0.92969999896559
anneal (145) 0.92969999896559
anneal (229) 0.92969999896559
TESTdd0a5ebb6e-pandas_testing_dataset (1)
TEST388a9defc1-pandas_testing_dataset (2)
TEST104676cb6a-pandas_testing_dataset (1)
anneal (218) 0.92969999896559
TESTdd0a5ebb6e-pandas_testing_dataset (3)
anneal (198) 0.92969999896559
TEST0be3452fe0-pandas_testing_dataset (3) 0.2
anneal (98) 0.92969999896559
anneal (12) 0.92969999896559
anneal (214) 0.92969999896559
anneal (120) 0.92969999896559
anneal (209) 0.92969999896559
anneal (256) 0.92969999896559
anneal (110) 0.92969999896559
segment (1) 0.96767676767677
tic-tac-toe (1) 0.77036260056199
anneal (157) 0.63695842975244
TEST5e105f0c38-pandas_testing_dataset (3) 0.2
anneal (102) 0.92969999896559
anneal (262) 0.92969999896559
anneal (170) 0.92969999896559
TEST6ba4d7daec-XOR (1)
anneal (232) 0.63695842975244
anneal (237) 0.92969999896559
anneal (241) 0.92969999896559
anneal (221) 0.92969999896559
TESTc8f1eae46a-XOR (1)
TEST44aee7d221-ModifiedWeather (1)
TEST495d1e52d8-pandas_testing_dataset (2)
TEST2c4f0b6c26-pandas_testing_dataset (1)
autoMpg (1)
anneal (193) 0.92969999896559
anneal (219) 0.92969999896559
TEST2c4f0b6c26-pandas_testing_dataset (3) 0.2
TEST9103715299-pandas_testing_dataset (3) 0.2
anneal (208) 0.92969999896559
anneal (255) 0.92969999896559
anneal (203) 0.63695842975244
anneal (253) 0.92969999896559
anneal (270) 0.92969999896559
anneal (63) 0.92969999896559
anneal (210) 0.92969999896559
TEST388a9defc1-pandas_testing_dataset (3)
anneal (268) 0.92969999896559
anneal (271) 0.92969999896559
TESTe74389f4b6-XOR (1)
anneal (222) 0.92969999896559
anneal (195) 0.92969999896559
anneal (250) 0.92969999896559
anneal (205) 0.92969999896559
anneal (128) 0.92969999896559
anneal (233) 0.92969999896559
anneal (82) 0.92969999896559
TESTf738f069ca-pandas_testing_dataset (4)
anneal (225) 0.92969999896559
TESTdd0a5ebb6e-pandas_testing_dataset (4)
anneal (184) 0.92969999896559
anneal (68) 0.92969999896559
anneal (236) 0.92969999896559
anneal (186) 0.92969999896559
anneal (191) 0.92969999896559
anneal (166) 0.92969999896559
anneal (247) 0.92969999896559
anneal (248) 0.92969999896559
anneal (269) 0.92969999896559
anneal (11) 0.92969999896559
anneal (92) 0.92969999896559
anneal (267) 0.92969999896559
anneal (226) 0.63695842975244
anneal (257) 0.92969999896559
anneal (190) 0.92969999896559
anneal (263) 0.92969999896559
TESTdd2273bbad-pandas_testing_dataset (3) 0.2
TESTbdcda46197-pandas_testing_dataset (3) 0.2
quake (1)
TESTcbac53b2c5-XOR (1)
anneal (57) 0.92969999896559
TESTb7d5691345-XOR (1)
anneal (192) 0.92969999896559
anneal (230) 0.92969999896559
anneal (202) 0.63695842975244
anneal (251) 0.92969999896559
anneal (206) 0.92969999896559
anneal (139) 0.92969999896559
anneal (188) 0.92969999896559
TEST5037c378b1-pandas_testing_dataset (3) 0.2
TEST388a9defc1-pandas_testing_dataset (1)
anneal (152) 0.92969999896559
TEST9b06efad03-pandas_testing_dataset (3) 0.2
anneal (266) 0.92969999896559
anneal (187) 0.92969999896559
anneal (200) 0.92969999896559
anneal (254) 0.92969999896559
anneal (242) 0.63695842975244
anneal (240) 0.92969999896559
anneal (213) 0.92969999896559
anneal (183) 0.92969999896559
Click_prediction_small (5) 0.54708793787104
anneal (156) 0.92969999896559
TEST2f9e899c65-XOR (1)
anneal (246) 0.92969999896559
anneal (151) 0.92969999896559
anneal (52) 0.63695842975244
anneal (109) 0.92969999896559
anneal (215) 0.92969999896559
anneal (261) 0.92969999896559
anneal (168) 0.92969999896559
TEST3620d8fbd0-XOR (1)
anneal (258) 0.63695842975244
irish (1) 0.96270011018212
anneal (239) 0.63695842975244
anneal (252) 0.63695842975244
anneal (81) 0.63695842975244
anneal (244) 0.92969999896559
TEST104676cb6a-pandas_testing_dataset (2)
TESTc16ac7f367-pandas_testing_dataset (4)
TESTfab02098c0-pandas_testing_dataset (1)
anneal (275) 0.92969999896559
anneal (274) 0.63695842975244
anneal (312) 0.92969999896559
anneal (280) 0.92969999896559
anneal (286) 0.92969999896559
anneal (301) 0.92969999896559
anneal (282) 0.63695842975244
anneal (284) 0.92969999896559
anneal (273) 0.92969999896559
anneal (278) 0.92969999896559
anneal (333) 0.92969999896559
anneal (318) 0.63695842975244
anneal (359) 0.63695842975244
anneal (356) 0.92969999896559
anneal (385) 0.92969999896559
anneal (379) 0.92969999896559
anneal (298) 0.92969999896559
anneal (311) 0.92969999896559
anneal (320) 0.92969999896559
anneal (362) 0.92969999896559
anneal (355) 0.92969999896559
anneal (357) 0.63695842975244
anneal (337) 0.63695842975244
anneal (381) 0.63695842975244
anneal (335) 0.63695842975244
anneal (336) 0.92969999896559
anneal (384) 0.92969999896559
TESTfa348335d3-pandas_testing_dataset (3) 0.2
anneal (332) 0.92969999896559
anneal (346) 0.92969999896559
anneal (388) 0.92969999896559
anneal (305) 0.92969999896559
anneal (343) 0.92969999896559
anneal (288) 0.92969999896559
TEST845a642017-pandas_testing_dataset (3) 0.2
anneal (340) 0.92969999896559
anneal (374) 0.92969999896559
anneal (372) 0.92969999896559
anneal (371) 0.63695842975244
TEST5b30e679ed-pandas_testing_dataset (1)
anneal (383) 0.92969999896559
anneal (358) 0.92969999896559
anneal (395) 0.92969999896559
TEST6f97db9a3e-ModifiedWeather (1)
anneal (290) 0.92969999896559
anneal (324) 0.92969999896559
TEST5b30e679ed-pandas_testing_dataset (4)
TEST7dc1ecdb15-XOR (1)
anneal (354) 0.92969999896559
anneal (303) 0.92969999896559
anneal (319) 0.92969999896559
anneal (334) 0.92969999896559
anneal (405) 0.92969999896559
anneal (404) 0.92969999896559
anneal (308) 0.92969999896559
anneal (398) 0.92969999896559
anneal (291) 0.92969999896559
TEST6dc49fc872-pandas_testing_dataset (2)
anneal (402) 0.92969999896559
TESTb410f44fd0-pandas_testing_dataset (3)
anneal (317) 0.63695842975244
TESTb410f44fd0-pandas_testing_dataset (1)
TESTc5c73d43cf-XOR (1)
anneal (360) 0.92969999896559
anneal (403) 0.92969999896559
anneal (277) 0.92969999896559
anneal (407) 0.92969999896559
TEST5b30e679ed-pandas_testing_dataset (3)
anneal (410) 0.92969999896559
anneal (361) 0.92969999896559
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) 0.92969999896559
anneal (347) 0.92969999896559
anneal (295) 0.92969999896559
anneal (348) 0.92969999896559
TEST0938a9daba-pandas_testing_dataset (3) 0.2
anneal (287) 0.92969999896559
TESTca5628eaef-pandas_testing_dataset (1)
anneal (314) 0.92969999896559
anneal (408) 0.92969999896559
TESTc9ed3920cd-XOR (1)
TESTeedf1c617e-pandas_testing_dataset (2)
TESTa5e33d6c29-pandas_testing_dataset (3) 0.2
TESTa10ede6728-XOR (1)
anneal (342) 0.92969999896559
TESTeedf1c617e-pandas_testing_dataset (4)
TESTb918af0e2d-pandas_testing_dataset (3)
anneal (422) 0.92969999896559
anneal (296) 0.92969999896559
anneal (276) 0.92969999896559
anneal (418) 0.92969999896559
anneal (304) 0.92969999896559
anneal (399) 0.92969999896559
TESTa5e33d6c29-pandas_testing_dataset (2)
anneal (390) 0.92969999896559
TEST10c25a3b38-pandas_testing_dataset (3) 0.2
anneal (424) 0.92969999896559
TESTed776f0840-pandas_testing_dataset (3) 0.2
anneal (412) 0.92969999896559
anneal (417) 0.63695842975244
anneal (283) 0.92969999896559
anneal (425) 0.92969999896559
anneal (400) 0.92969999896559
TESTed7333f3d2-ModifiedWeather (1)
anneal (420) 0.92969999896559
anneal (413) 0.92969999896559
anneal (423) 0.63695842975244
TESTf9ea71bde7-XOR (1)
anneal (325) 0.92969999896559
TEST5b30e679ed-pandas_testing_dataset (2)
anneal (434) 0.92969999896559
anneal (365) 0.92969999896559
anneal (426) 0.92969999896559
TEST855da0f4bb-ModifiedWeather (1)
TEST84e82f2c56-ModifiedWeather (1)
TESTb9093fb3b4-ModifiedWeather (1)
TEST178704e3b7-ModifiedWeather (1)
anneal (393) 0.92969999896559
TESTd655778eb6-ModifiedWeather (1)
anneal (438) 0.92969999896559
TEST17eccd9837-pandas_testing_dataset (3)
anneal (433) 0.92969999896559
TESTb918af0e2d-pandas_testing_dataset (2)
TESTca5628eaef-pandas_testing_dataset (2)
TESTf2a16c917e-XOR (1)
anneal (429) 0.92969999896559
anneal (443) 0.92969999896559
anneal (401) 0.63695842975244
anneal (363) 0.63695842975244
anneal (344) 0.92969999896559
anneal (380) 0.92969999896559
TEST6dc49fc872-pandas_testing_dataset (3) 0.2