Measure

CfsSubsetEval_DecisionStumpAUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

Value per dataset

triazines (1)
anneal (8) 0.90677425709709
anneal (4) 0.90677425709709
anneal (2) 0.90677425709709
XOR (1)
Weather (1) 0.34444444444444
web_questionsQA (1)
anneal (6) 0.90677425709709
anneal (7) 0.90677425709709
Weather (2) 0.34444444444444
TEST9e3886e694-XOR (1)
iris (2) 0.95653333333333
anneal (12) 0.90677425709709
anneal (14) 0.94252980556509
TESTc7ba0dcb5a-XOR (1)
TESTed4a84a4bb-pandas_testing_dataset (2)
test (6) 0.95653333333333
TEST51ef687b9d-pandas_testing_dataset (2)
Diabetes(scikit-learn) (1)
anneal (13) 0.90677425709709
TESTb633b550cf-pandas_testing_dataset (1)
test (4) 0.95653333333333
TEST51ef687b9d-pandas_testing_dataset (1)
TESTed4a84a4bb-pandas_testing_dataset (1)
test (3) 0.95653333333333
test (1) 0.95653333333333
test (2) 0.95653333333333
TEST51ef687b9d-pandas_testing_dataset (4)
anneal (9) 0.99434156378601
TESTaf99b42041-ModifiedWeather (1)
XOR (2)
test (9) 0.95653333333333
anneal (17) 0.90677425709709
test (7) 0.95653333333333
TESTe216022baf-UploadTestWithURL (1)
iris-challenge (1) 0.91137585255232
TEST8facacd8dc-UploadTestWithURL (1)
test (10) 0.95653333333333
test (14) 0.95653333333333
test (5) 0.95653333333333
test (13) 0.95653333333333
test (12) 0.95653333333333
TEST51ef687b9d-pandas_testing_dataset (3)
TESTed4a84a4bb-pandas_testing_dataset (3) 0.2
anneal (3) 0.66120692823903
anneal (23) 0.90677425709709
TEST0ea351d931-pandas_testing_dataset (1)
anneal (24) 0.90677425709709
anneal (18) 0.90677425709709
test (11) 0.95653333333333
test (8) 0.95653333333333
anneal (26) 0.90677425709709
anneal (27) 0.90677425709709
anneal (39) 0.90677425709709
anneal (43) 0.90677425709709
anneal (63) 0.90677425709709
test (16) 0.95653333333333
TEST840571e677-pandas_testing_dataset (1)
anneal (58) 0.90677425709709
Weather (6) 0.34444444444444
anneal (62) 0.90677425709709
anneal (30) 0.90677425709709
test (24) 0.95653333333333
test (20) 0.95653333333333
anneal (66) 0.99434156378601
anneal (34) 0.66120692823903
anneal (38) 0.90677425709709
anneal (41) 0.90677425709709
Weather (3) 0.34444444444444
XOR (4)
Weather (4) 0.34444444444444
Weather (8) 0.34444444444444
test (19) 0.95653333333333
test (21) 0.95653333333333
Diabetes(scikit-learn) (3)
XOR (3)
anneal (48) 0.90677425709709
XOR (6)
test (27) 0.95653333333333
XOR (5)
spambase (1) 0.93973146278947
anneal (49) 0.90677425709709
test (33) 0.95653333333333
anneal (32) 0.90677425709709
anneal (45) 0.90677425709709
anneal (16) 0.90677425709709
anneal (57) 0.90677425709709
Weather (5) 0.37777777777778
test (26) 0.95653333333333
XOR (7)
test (36) 0.95653333333333
test (23) 0.95653333333333
anneal (59) 0.90677425709709
test (28) 0.95653333333333
anneal (42) 0.90677425709709
anneal (33) 0.90677425709709
test (15) 0.95653333333333
anneal (37) 0.99434156378601
anneal (53) 0.90677425709709
anneal (25) 0.90677425709709
anneal (56) 0.99434156378601
test (39) 0.95653333333333
TEST2fe1e97c97-pandas_testing_dataset (1)
test (35) 0.95653333333333
test (29) 0.95653333333333
test (31) 0.95653333333333
anneal (52) 0.90677425709709
Diabetes(scikit-learn) (4)
anneal (54) 0.90677425709709
Weather (7) 0.34444444444444
test (22) 0.95653333333333
test (38) 0.95653333333333
test (32) 0.95653333333333
test (18) 0.95653333333333
Diabetes(scikit-learn) (2)
vineyard (1)
pol (1)
anneal (31) 0.90677425709709
Weather (9) 0.34444444444444
Diabetes(scikit-learn) (5)
TESTccda34c750-pandas_testing_dataset (1)
anneal (74) 0.66120692823903
Weather (11) 0.34444444444444
anneal (61) 0.90677425709709
test (17) 0.95653333333333
TEST22dd0ebd9b-ModifiedWeather (1)
anneal (36) 0.90677425709709
test (43) 0.95653333333333
XOR (9)
anneal (89) 0.90677425709709
TESTee7d03de92-pandas_testing_dataset (1)
anneal (77) 0.90677425709709
anneal (84) 0.90677425709709
TEST76d8cfa095-pandas_testing_dataset (1)
XOR (10)
blood-transfusion-service-center (1) 0.635053222945
autoMpg (1)
autoPrice (1)
quake (1)
pbc (1)
TEST5f1dfbd75d-pandas_testing_dataset (1)
anneal (95) 0.66120692823903
anneal (80) 0.90677425709709
test (40) 0.95653333333333
TESTda410c34dc-pandas_testing_dataset (2)
TEST398fcda80b-ModifiedWeather (1)
TEST7e318eb969-pandas_testing_dataset (3) 0.2
Weather (10) 0.34444444444444
test (41) 0.95653333333333
TEST76d8cfa095-pandas_testing_dataset (3)
test (49) 0.95653333333333
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) 0.90677425709709
TEST2fb3e3c09b-XOR (1)
anneal (101) 0.90677425709709
anneal (92) 0.90677425709709
anneal (75) 0.90677425709709
XOR (8)
Weather (14) 0.34444444444444
TESTccda34c750-pandas_testing_dataset (3) 0.2
test (42) 0.95653333333333
test (30) 0.95653333333333
XOR (13)
anneal (103) 0.90677425709709
Weather (12) 0.34444444444444
anneal (90) 0.90677425709709
anneal (73) 0.90677425709709
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) 0.95653333333333
test (50) 0.95653333333333
TESTda410c34dc-pandas_testing_dataset (1)
anneal (98) 0.66120692823903
test (37) 0.95653333333333
anneal (86) 0.99434156378601
anneal (105) 0.99434156378601
anneal (87) 0.90677425709709
anneal (99) 0.90677425709709
test (44) 0.95653333333333
TESTcf74ef9481-XOR (1)
XOR (12)
test (51) 0.95653333333333
anneal (91) 0.94252980556509
test (46) 0.95653333333333
test (45) 0.95653333333333
test (52) 0.95653333333333
anneal (44) 0.90677425709709
anneal (79) 0.90677425709709
anneal (28) 0.90677425709709
test (48) 0.95653333333333
TEST7e318eb969-pandas_testing_dataset (1)
TESTda410c34dc-pandas_testing_dataset (4)
TEST07c2b360c0-pandas_testing_dataset (2)
TESTdcaa77be46-XOR (1)
TEST8eecdebbd6-XOR (1)
anneal (102) 0.90677425709709
Diabetes(scikit-learn) (7)
anneal (97) 0.90677425709709
TEST2302efba1e-XOR (1)
anneal (72) 0.99434156378601
test (34) 0.95653333333333
TEST07c2b360c0-pandas_testing_dataset (1)
Weather (13) 0.34444444444444
TESTc09922bc0f-XOR (1)
test (25) 0.95653333333333
TEST76d8cfa095-pandas_testing_dataset (2)
TEST76d8cfa095-pandas_testing_dataset (4)
cylinder-bands (2) 0.62688371569951
anneal (11) 0.90677425709709
anneal (106) 0.66120692823903
anneal (115) 0.99434156378601
XOR (18)
anneal (116) 0.94252980556509
anneal (113) 0.90677425709709
anneal (107) 0.90677425709709
mfeat-zernike (1) 0.86140402777778
lowbwt (1)
anneal (82) 0.90677425709709
anneal (114) 0.90677425709709
Diabetes(scikit-learn) (9)
Diabetes(scikit-learn) (8)
Diabetes(scikit-learn) (10)
credit-a (1) 0.87761202915437
anneal (119) 0.90677425709709
anneal (118) 0.90677425709709
XOR (21)
Weather (17) 0.34444444444444
Weather (21) 0.34444444444444
XOR (23)
XOR (19)
XOR (17)
XOR (16)
XOR (24)
Diabetes(scikit-learn) (11)
profb (1) 0.5
climate-model-simulation-crashes (1) 0.67127266326351
pendigits (1) 0.97827117620621
tic-tac-toe (1) 0.74351399207052
abalone (1) 0.6428136589927
anneal (108) 0.66120692823903
artificial-characters (1) 0.62602713874859
cloud (1)
mushroom (1) 0.99105196168007
anneal (141) 0.90677425709709
Weather (18) 0.34444444444444
anneal (147) 0.90677425709709
anneal (136) 0.90677425709709
anneal (135) 0.99434156378601
anneal (122) 0.99434156378601
XOR (22)
Weather (22) 0.34444444444444
anneal (112) 0.90677425709709
XOR (29)
anneal (128) 0.90677425709709
anneal (139) 0.90677425709709
XOR (27)
PhishingWebsites (1) 0.97717576948837
cholesterol (1)
texture (1) 0.96252867272727
fourclass_scale (1)
credit-g (1) 0.72082857142857
anneal (151) 0.90677425709709
anneal (132) 0.90677425709709
anneal (156) 0.90677425709709
anneal (134) 0.90677425709709
anneal (149) 0.90677425709709
Weather (16) 0.34444444444444
Weather (15) 0.34444444444444
Weather (27) 0.34444444444444
anneal (126) 0.90677425709709
anneal (167) 0.66120692823903
anneal (127) 0.90677425709709
anneal (131) 0.90677425709709
anneal (124) 0.99434156378601
Diabetes(scikit-learn) (15)
Diabetes(scikit-learn) (14)
anneal (143) 0.90677425709709
anneal (121) 0.90677425709709
anneal (146) 0.90677425709709
anneal (158) 0.90677425709709
anneal (120) 0.90677425709709
anneal (117) 0.99434156378601
Weather (24) 0.34444444444444
Diabetes(scikit-learn) (12)
XOR (31)
anneal (150) 0.90677425709709
XOR (32)
Weather (23) 0.34444444444444
anneal (160) 0.90677425709709
Diabetes(scikit-learn) (17)
anneal (155) 0.90677425709709
Weather (30) 0.34444444444444
anneal (110) 0.90677425709709
anneal (173) 0.99434156378601
Weather (20) 0.34444444444444
TEST569e152152-pandas_testing_dataset (2)
XOR (33)
Weather (26) 0.34444444444444
Weather (28) 0.34444444444444
XOR (15)
anneal (137) 0.99434156378601
Weather (19) 0.34444444444444
anneal (144) 0.90677425709709
XOR (25)
anneal (166) 0.99434156378601
XOR (30)
anneal (159) 0.90677425709709
anneal (161) 0.66120692823903
anneal (154) 0.90677425709709
anneal (125) 0.90677425709709
Weather (31) 0.37777777777778
Weather (34) 0.37777777777778
anneal (168) 0.66120692823903
anneal (172) 0.66120692823903
anneal (140) 0.90677425709709
anneal (129) 0.90677425709709
anneal (174) 0.90677425709709
XOR (20)
Weather (25) 0.34444444444444
Diabetes(scikit-learn) (16)
XOR (34)
XOR (28)
anneal (162) 0.90677425709709
anneal (109) 0.66120692823903
anneal (171) 0.66120692823903
anneal (164) 0.90677425709709
anneal (145) 0.90677425709709
anneal (123) 0.99434156378601
Weather (33) 0.34444444444444
Diabetes(scikit-learn) (13)
XOR (26)
anneal (152) 0.66120692823903
anneal (169) 0.66120692823903
anneal (142) 0.99434156378601
Weather (29) 0.37777777777778
Weather (32) 0.37777777777778
TEST63cd902071-pandas_testing_dataset (2)
anneal (175) 0.90677425709709
TESTe55d2d0c3d-pandas_testing_dataset (2)
anneal (177) 0.90677425709709
TESTe55d2d0c3d-pandas_testing_dataset (3) 0.2
anneal (178) 0.94252980556509
TEST9d96ec7ade-UploadTestWithURL (1)
anneal (180) 0.90677425709709
TESTcf61db30f6-pandas_testing_dataset (1)
anneal (181) 0.90677425709709
TEST63cd902071-pandas_testing_dataset (4)
TEST63cd902071-pandas_testing_dataset (3)
TESTada3067c77-XOR (1)
TESTf112d7f8be-XOR (1)
TEST9ecb165245-UploadTestWithURL (1)
anneal (179) 0.66120692823903
TESTaebada2a36-ModifiedWeather (1)
TESTe55d2d0c3d-pandas_testing_dataset (1)
TEST63cd902071-pandas_testing_dataset (1)
anneal (182) 0.66120692823903
anneal (183) 0.66120692823903
anneal (184) 0.90677425709709
madelon (1) 0.75801035502959
cleveland (1)
mfeat-karhunen (1) 0.89335291666667
mozilla4 (1) 0.94874634314445
anneal (185) 0.90677425709709
Weather (35) 0.34444444444444
anneal (190) 0.66120692823903
anneal (187) 0.90677425709709
anneal (192) 0.90677425709709
anneal (191) 0.99434156378601
Weather (36) 0.34444444444444
XOR (36)
bank-marketing (1) 0.81055393998634
musk (1) 0.99999189552557
sylva_agnostic (1) 0.97340477972464
pc3 (1) 0.49982181040627
wisconsin (1)
anneal (186) 0.90677425709709
anneal (189) 0.90677425709709
Diabetes(scikit-learn) (18)
XOR (35)
anneal (193) 0.65745452680268
ModifiedWeather (1)
XOR (37)
XOR (38)
UploadTestWithURL (1)
UploadTestWithURL (2)
anneal (195) 0.66120692823903
anneal (198) 0.66120692823903
anneal (194) 0.66120692823903
anneal (201) 0.90677425709709
Weather (38) 0.34444444444444
XOR (39)
Weather (37) 0.34444444444444
Diabetes(scikit-learn) (19)
anneal (199) 0.66120692823903
anneal (196) 0.66120692823903
anneal (200) 0.99434156378601
XOR (40)
UNIX_user_data (1)
anneal (176) 0.66120692823903
mfeat-fourier (1) 0.87943041666667
car (1) 0.96740690511816
vehicle (1) 0.82873004150256
anneal (208) 0.66120692823903
anneal (202) 0.66120692823903
anneal (206) 0.99434156378601
Weather (39) 0.37777777777778
XOR (42)
anneal (203) 0.90677425709709
anneal (209) 0.66120692823903
anneal (207) 0.90677425709709
anneal (204) 0.90677425709709
Weather (40) 0.34444444444444
Diabetes(scikit-learn) (20)
XOR (41)
har (1) 0.96825954752952
micro-mass (2) 0.88361444670456
detroit (1)
mfeat-morphological (1) 0.91142041666667
sick (1) 0.92886361496923
auto_price (1)
anneal (94) 0.66120692823903
anneal (213) 0.90677425709709
anneal (215) 0.90677425709709
Diabetes(scikit-learn) (21)
Weather (42) 0.34444444444444
Weather (41) 0.37777777777778
XOR (43)
anneal (211) 0.66120692823903
anneal (210) 0.66120692823903
anneal (214) 0.66120692823903
anneal (212) 0.90677425709709
anneal (218) 0.99434156378601
XOR (44)
segment (1) 0.98186103458831
anneal (222) 0.90677425709709
Weather (43) 0.34444444444444
anneal (220) 0.66120692823903
XOR (46)
anneal (224) 0.66120692823903
anneal (226) 0.66120692823903
anneal (219) 0.90677425709709
Diabetes(scikit-learn) (22)
XOR (45)
anneal (221) 0.90677425709709
anneal (225) 0.99434156378601
Weather (44) 0.37777777777778
monks-problems-1 (1) 0.73857460793955
irish (1) 1
gina_agnostic (1) 0.86114610692584
MagicTelescope (1) 0.85729213791249
fruitfly (1)
cjs (3) 1
dresses-sales (2) 0.53956486042693
balance-scale (1) 0.84068245961095
optdigits (1) 0.6854786317523
letter (1) 0.94252980556509
cmc (1) 0.65999860099048
soybean (1) 0.96204224088234
pc1 (1) 0.75223371589651
banknote-authentication (1) 0.95912396196377
cardiotocography (1) 1
gas-drift (1) 0.97479420110804
ilpd (1) 0.60427222478121
phoneme (1) 0.85501774629633
tamilnadu-electricity (1) 1
wilt (1) 0.93350214000325
mbagrade (1)
sleep (1)
vowel (2) 0.86087429854097
kc1 (1) 0.70725994308896
wall-robot-navigation (1) 0.99189036884855
steel-plates-fault (1) 0.99574507478637
Amazon_employee_access (1) 0.49986821296784
nomao (1) 0.96853250168945
Click_prediction_small (5) 0.52083101495739
anneal (234) 0.90677425709709
Diabetes(scikit-learn) (23)
anneal (244) 0.99434156378601
XOR (50)
anneal (228) 0.66120692823903
anneal (237) 0.90677425709709
anneal (242) 0.90677425709709
anneal (231) 0.99434156378601
Weather (47) 0.34444444444444
Weather (45) 0.34444444444444
TEST08f51af3c8-pandas_testing_dataset (1)
TESTa365aee568-UploadTestWithURL (1)
anneal (233) 0.90677425709709
anneal (240) 0.90677425709709
anneal (229) 0.90677425709709
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) 0.90677425709709
anneal (227) 0.90677425709709
anneal (236) 0.90677425709709
TESTa540f38c2d-pandas_testing_dataset (4)
Weather (46) 0.34444444444444
Weather (48) 0.37777777777778
anneal (235) 0.65745452680268
TESTa540f38c2d-pandas_testing_dataset (2)
TESTa540f38c2d-pandas_testing_dataset (3)
anneal (238) 0.90677425709709
Diabetes(scikit-learn) (24)
GermanCreditModified (1)
GermanCreditModified (3)
GermanCreditModified (2)
TEST062fea70c5-XOR (1)
anneal (249) 0.66120692823903
Weather (50) 0.34444444444444
anneal (246) 0.66120692823903
anneal (251) 0.90677425709709
anneal (252) 0.66120692823903
anneal (247) 0.90677425709709
anneal (245) 0.90677425709709
XOR (51)
anneal (250) 0.99434156378601
Weather (49) 0.37777777777778
Diabetes(scikit-learn) (25)
XOR (52)
pc4 (1) 0.82962605337079
first-order-theorem-proving (1) 0.70908271910376
one-hundred-plants-texture (1) 0.7271907474036
pharynx (1)
Australian (3) 0.83535180003572
waveform-5000 (1) 0.85183742750322
monks-problems-2 (1) 0.49936708860759
JapaneseVowels (1) 0.93137725526474
anneal (232) 0.66120692823903
monks-problems-3 (1) 0.98209064327485
analcatdata_authorship (1) 0.93883647043957
mfeat-factors (1) 0.93603152777778
breast-w (1) 0.92696008262516
electricity (1) 0.80386448673659
synthetic_control (1) 0.94086833333333
analcatdata_dmft (1) 0.53385172146075
jm1 (1) 0.66208359281792
cnae-9 (1) 0.9610865162037
bolts (1)
cpu_act (1)
delta_elevators (1)
qsar-biodeg (1) 0.82317636752343
GesturePhaseSegmentationProcessed (1) 0.68679239230699
one-hundred-plants-margin (1) 0.72730567392677
kin8nm (1)
diabetes_numeric (1)
mfeat-pixel (1) 0.89374222222222
satimage (1) 0.92730914459926
anneal (253) 0.66120692823903
anneal (255) 0.66120692823903
anneal (257) 0.90677425709709
anneal (260) 0.99434156378601
Weather (52) 0.34444444444444
Diabetes(scikit-learn) (26)
anneal (258) 0.90677425709709
XOR (54)
anneal (254) 0.66120692823903
anneal (259) 0.90677425709709
Weather (51) 0.34444444444444
XOR (53)
anneal (264) 0.66120692823903
Diabetes(scikit-learn) (27)
anneal (266) 0.66120692823903
Weather (53) 0.34444444444444
anneal (263) 0.90677425709709
Weather (54) 0.34444444444444
anneal (265) 0.66120692823903
anneal (262) 0.66120692823903
anneal (261) 0.66120692823903
anneal (269) 0.99434156378601
XOR (56)
XOR (55)
semeion (1) 0.84804078330631
wdbc (1) 0.95507637017071
MiceProtein (1) 1
LED-display-domain-7digit (1) 0.8868692509275
kr-vs-kp (1) 0.96191206574058
eucalyptus (1) 0.82394939666572
ada_agnostic (1) 0.85107101649342
hill-valley (1) 0.5
adult (2) 0.88187832091061
Bioresponse (1) 0.76425690460769
splice (1) 0.9645392222677
scene (1) 0.87258059592136
isolet (1) 0.91397788487167
ozone-level-8hr (1) 0.63793965880371
one-hundred-plants-shape (1) 0.7275501104798
anneal (271) 0.90677425709709
iris (1) 0.95653333333333
longley (1)
diabetes (1) 0.71866417910448
eeg-eye-state (1) 0.8155628808435
collins (1) 1
kc2 (1) 0.72860038283977
anneal (274) 0.66120692823903
anneal (278) 0.99434156378601
anneal (1) 0.90677425709709
TESTa16e77a23a-pandas_testing_dataset (1)
anneal (275) 0.66120692823903
anneal (272) 0.66120692823903
anneal (276) 0.90677425709709
anneal (270) 0.90677425709709
Weather (55) 0.37777777777778
Weather (56) 0.37777777777778
Diabetes(scikit-learn) (28)
XOR (58)
XOR (57)