Measure

CfsSubsetEval_kNN1NAUC

Area Under the ROC Curve 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) 0.90677425709709
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) 0.95359078180699
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
cpu_act (1)
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) 0.95359078180699
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)
bolts (1)
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) 0.75555555555556
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)
cnae-9 (1) 0.9610865162037
one-hundred-plants-margin (1) 0.72730567392677
anneal (74) 0.95359078180699
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) 0.95359078180699
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) 0.95359078180699
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) 0.97686933157537
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
diabetes_numeric (1)
semeion (1) 0.84804078330631
anneal (11) 0.90677425709709
anneal (106) 0.95359078180699
anneal (115) 0.99434156378601
XOR (18)
anneal (116) 0.94252980556509
anneal (113) 0.90677425709709
anneal (107) 0.90677425709709
mfeat-zernike (1) 0.86140402777778
Bioresponse (1) 0.76425690460769
kr-vs-kp (1) 0.96191206574058
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) 0.55037256138624
delta_elevators (1)
MiceProtein (1) 1
anneal (108) 0.95359078180699
artificial-characters (1) 0.81967710555754
cloud (1)
mushroom (1) 0.99105196168007
anneal (141) 0.90677425709709
Weather (18) 0.34444444444444
anneal (147) 0.90677425709709
anneal (136) 0.90677425709709
anneal (135) 0.97686933157537
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)
eucalyptus (1) 0.82394939666572
PhishingWebsites (1) 0.97717576948837
one-hundred-plants-shape (1) 0.7275501104798
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) 0.95359078180699
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) 0.95359078180699
anneal (154) 0.90677425709709
anneal (125) 0.90677425709709
Weather (31) 0.75555555555556
Weather (34) 0.75555555555556
anneal (168) 0.95359078180699
anneal (172) 0.95359078180699
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) 0.95359078180699
anneal (171) 0.95359078180699
anneal (164) 0.90677425709709
anneal (145) 0.90677425709709
anneal (123) 0.99434156378601
Weather (33) 0.34444444444444
Diabetes(scikit-learn) (13)
XOR (26)
anneal (152) 0.95359078180699
anneal (169) 0.95359078180699
anneal (142) 0.99434156378601
Weather (29) 0.75555555555556
Weather (32) 0.75555555555556
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) 0.95359078180699
TESTaebada2a36-ModifiedWeather (1)
TESTe55d2d0c3d-pandas_testing_dataset (1)
TEST63cd902071-pandas_testing_dataset (1)
anneal (182) 0.95359078180699
anneal (183) 0.95359078180699
anneal (184) 0.90677425709709
mfeat-pixel (1) 0.89374222222222
madelon (1) 0.75801035502959
cleveland (1)
mfeat-karhunen (1) 0.89335291666667
isolet (1) 0.91397788487167
mozilla4 (1) 0.94874634314445
anneal (185) 0.90677425709709
Weather (35) 0.34444444444444
anneal (190) 0.95359078180699
anneal (187) 0.90677425709709
anneal (192) 0.90677425709709
anneal (191) 0.97686933157537
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) 0.98338604886036
ModifiedWeather (1)
XOR (37)
XOR (38)
UploadTestWithURL (1)
UploadTestWithURL (2)
anneal (195) 0.95359078180699
anneal (198) 0.95359078180699
anneal (194) 0.95359078180699
anneal (201) 0.90677425709709
Weather (38) 0.34444444444444
XOR (39)
Weather (37) 0.34444444444444
Diabetes(scikit-learn) (19)
anneal (199) 0.95359078180699
anneal (196) 0.95359078180699
anneal (200) 0.97686933157537
XOR (40)
UNIX_user_data (1)
anneal (176) 0.95359078180699
mfeat-fourier (1) 0.87943041666667
car (1) 0.96740690511816
splice (1) 0.9645392222677
vehicle (1) 0.82873004150256
electricity (1) 0.80386448673659
anneal (208) 0.95359078180699
anneal (202) 0.95359078180699
anneal (206) 0.97686933157537
Weather (39) 0.75555555555556
XOR (42)
anneal (203) 0.90677425709709
anneal (209) 0.95359078180699
anneal (207) 0.90677425709709
anneal (204) 0.90677425709709
Weather (40) 0.34444444444444
Diabetes(scikit-learn) (20)
XOR (41)
har (1) 0.96825954752952
hill-valley (1) 0.5
micro-mass (2) 0.88361444670456
detroit (1)
mfeat-morphological (1) 0.91142041666667
sick (1) 0.92886361496923
LED-display-domain-7digit (1) 0.8868692509275
scene (1) 0.87258059592136
auto_price (1)
breast-w (1) 0.92696008262516
anneal (94) 0.95359078180699
anneal (213) 0.90677425709709
anneal (215) 0.90677425709709
Diabetes(scikit-learn) (21)
Weather (42) 0.34444444444444
Weather (41) 0.75555555555556
XOR (43)
anneal (211) 0.95359078180699
anneal (210) 0.95359078180699
anneal (214) 0.95359078180699
anneal (212) 0.90677425709709
anneal (218) 0.97686933157537
XOR (44)
segment (1) 0.98186103458831
anneal (222) 0.90677425709709
Weather (43) 0.34444444444444
anneal (220) 0.95359078180699
XOR (46)
anneal (224) 0.95359078180699
anneal (226) 0.95359078180699
anneal (219) 0.90677425709709
Diabetes(scikit-learn) (22)
XOR (45)
anneal (221) 0.90677425709709
anneal (225) 0.99434156378601
Weather (44) 0.75555555555556
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
jm1 (1) 0.61298938080373
mfeat-factors (1) 0.93603152777778
balance-scale (1) 0.84068245961095
optdigits (1) 0.99072861805261
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
ozone-level-8hr (1) 0.63793965880371
phoneme (1) 0.85501774629633
tamilnadu-electricity (1) 1
wilt (1) 0.93350214000325
mbagrade (1)
sleep (1)
vowel (2) 0.86087429854097
synthetic_control (1) 0.94086833333333
kc1 (1) 0.70725994308896
wall-robot-navigation (1) 0.99189036884855
steel-plates-fault (1) 0.99574507478637
Amazon_employee_access (1) 0.49986821296784
GesturePhaseSegmentationProcessed (1) 0.68679239230699
kin8nm (1)
qsar-biodeg (1) 0.82317636752343
satimage (1) 0.92730914459926
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) 0.95359078180699
anneal (237) 0.90677425709709
anneal (242) 0.90677425709709
anneal (231) 0.97686933157537
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) 0.75555555555556
anneal (235) 0.98338604886036
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) 0.95359078180699
Weather (50) 0.34444444444444
anneal (246) 0.95359078180699
anneal (251) 0.90677425709709
anneal (252) 0.95359078180699
anneal (247) 0.90677425709709
anneal (245) 0.90677425709709
XOR (51)
anneal (250) 0.99434156378601
Weather (49) 0.75555555555556
Diabetes(scikit-learn) (25)
XOR (52)
ada_agnostic (1) 0.85107101649342
pc4 (1) 0.82962605337079
first-order-theorem-proving (1) 0.70908271910376
one-hundred-plants-texture (1) 0.7271907474036
wdbc (1) 0.95507637017071
pharynx (1)
analcatdata_dmft (1) 0.53385172146075
Australian (3) 0.83535180003572
waveform-5000 (1) 0.85183742750322
monks-problems-2 (1) 0.49936708860759
JapaneseVowels (1) 0.93137725526474
adult (2) 0.88187832091061
anneal (232) 0.95359078180699
monks-problems-3 (1) 0.98209064327485
analcatdata_authorship (1) 0.93883647043957
diabetes (1) 0.71866417910448
eeg-eye-state (1) 0.8155628808435
collins (1) 1
kc2 (1) 0.72860038283977
anneal (253) 0.95359078180699
anneal (255) 0.95359078180699
anneal (257) 0.90677425709709
anneal (260) 0.99434156378601
Weather (52) 0.34444444444444
anneal (1) 0.90677425709709
Diabetes(scikit-learn) (26)
longley (1)
iris (1) 0.95653333333333
anneal (259) 0.90677425709709
anneal (258) 0.90677425709709
XOR (54)
Weather (51) 0.34444444444444
XOR (53)
anneal (254) 0.95359078180699