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

mbagrade (1)
wdbc (1) 0.95507637017071
vehicle (1) 0.82873004150256
jm1 (1) 0.65873760734603
cleveland (1)
ada_agnostic (1) 0.85107101649342
cholesterol (1)
madelon (1) 0.75801035502959
one-hundred-plants-texture (1) 0.7271907474036
micro-mass (2) 0.88361444670456
mfeat-zernike (1) 0.86140402777778
MagicTelescope (1) 0.85729213791249
mfeat-karhunen (1) 0.89335291666667
credit-a (1) 0.87761202915437
mushroom (1) 0.99105196168007
tamilnadu-electricity (1) 1
Click_prediction_small (5) 0.52083101495739
isolet (1) 0.91397788487167
cylinder-bands (2) 0.62688371569951
autoMpg (1)
mfeat-morphological (1) 0.91142041666667
pc1 (1) 0.75223371589651
credit-g (1) 0.72082857142857
qsar-biodeg (1) 0.82317636752343
iris-challenge (1) 0.91137585255232
spambase (1) 0.93973146278947
splice (1) 0.9645392222677
anneal (3) 0.90677425709709
vowel (2) 0.86087429854097
ilpd (1) 0.60427222478121
blood-transfusion-service-center (1) 0.635053222945
artificial-characters (1) 0.90594411125422
mozilla4 (1) 0.94874634314445
kc1 (1) 0.70725994308896
fourclass_scale (1)
analcatdata_dmft (1) 0.53385172146075
optdigits (1) 0.94377854202463
GesturePhaseSegmentationProcessed (1) 0.68679239230699
eeg-eye-state (1) 0.8155628808435
wilt (1) 0.93350214000325
pharynx (1)
kin8nm (1)
gina_agnostic (1) 0.86114610692584
Amazon_employee_access (1) 0.49986821296784
sick (1) 0.92886361496923
profb (1) 0.5
wall-robot-navigation (1) 0.99189036884855
monks-problems-2 (1) 0.49936708860759
wisconsin (1)
triazines (1)
bolts (1)
har (1) 0.96825954752952
gas-drift (1) 0.97479420110804
scene (1) 0.87258059592136
mfeat-fourier (1) 0.87943041666667
anneal (2) 0.90677425709709
semeion (1) 0.84804078330631
one-hundred-plants-margin (1) 0.72730567392677
banknote-authentication (1) 0.95912396196377
cardiotocography (1) 1
cloud (1)
adult (2) 0.88187832091061
climate-model-simulation-crashes (1) 0.67127266326351
a (1) 0.95653333333333
letter (1) 0.94252980556509
Australian (3) 0.83535180003572
tic-tac-toe (1) 0.74351399207052
mfeat-pixel (1) 0.89374222222222
MiceProtein (1) 1
fruitfly (1)
analcatdata_authorship (1) 0.93883647043957
pc3 (1) 0.49982181040627
autoPrice (1)
auto_price (1)
musk (1) 0.99999189552557
hill-valley (1) 0.5
anneal (6) 0.90677425709709
ozone-level-8hr (1) 0.63793965880371
irish (1) 1
electricity (1) 0.80386448673659
satimage (1) 0.92730914459926
lowbwt (1)
nomao (1) 0.96853250168945
breast-w (1) 0.92696008262516
monks-problems-3 (1) 0.98209064327485
pbc (1)
delta_elevators (1)
vineyard (1)
texture (1) 0.96252867272727
mfeat-factors (1) 0.93603152777778
eucalyptus (1) 0.82394939666572
pendigits (1) 0.97827117620621
pc4 (1) 0.82962605337079
UNIX_user_data (1)
detroit (1)
synthetic_control (1) 0.94086833333333
abalone (1) 0.59007219134028
anneal (5) 0.90677425709709
waveform-5000 (1) 0.85183742750322
LED-display-domain-7digit (1) 0.8868692509275
steel-plates-fault (1) 0.64938642830023
PhishingWebsites (1) 0.97717576948837
car (1) 0.96740690511816
a (2) 0.83333333333333
iris (2) 0.95653333333333
cpu_act (1)
anneal (7) 0.90677425709709
anneal (8) 0.90677425709709
anneal (11) 0.90677425709709
anneal (12) 0.66120692823903
anneal (9) 0.90677425709709
anneal (10) 0.90677425709709
anneal (13) 0.90677425709709
anneal (15) 0.66120692823903
TESTcd6b36175d-ModifiedWeather (1)
TEST79d5120512-XOR (1)
anneal (16) 0.90677425709709
TEST03ae3917f9-pandas_testing_dataset (1)
TESTfce9706bd8-pandas_testing_dataset (1)
anneal (20) 0.66120692823903
anneal (25) 0.90677425709709
anneal (64) 0.90677425709709
TESTc236f8668b-pandas_testing_dataset (1)
anneal (52) 0.90677425709709
anneal (23) 0.90677425709709
anneal (51) 0.90677425709709
TEST42f439d59e-ModifiedWeather (1)
TEST6cd383bd36-pandas_testing_dataset (3) 0.2
TESTb73fca9dea-pandas_testing_dataset (3) 0.2
TEST1c031057be-XOR (1)
anneal (69) 0.66120692823903
anneal (37) 0.90677425709709
anneal (28) 0.90677425709709
TEST68b8719aa6-pandas_testing_dataset (3) 0.2
anneal (54) 0.90677425709709
TEST497883d61c-XOR (1)
anneal (61) 0.90677425709709
anneal (77) 0.90677425709709
anneal (68) 0.90677425709709
TESTfb8c9dda6b-pandas_testing_dataset (1)
TEST12cee25e4e-ModifiedWeather (1)
TESTfb357f8e8d-ModifiedWeather (1)
TEST24233797e6-XOR (1)
TESTb1d41eaa75-XOR (1)
anneal (63) 0.90677425709709
TESTc236f8668b-pandas_testing_dataset (2)
anneal (21) 0.90677425709709
TEST63cf2e1fbd-pandas_testing_dataset (4)
anneal (58) 0.66120692823903
TESTfb8c9dda6b-pandas_testing_dataset (3)
anneal (76) 0.90677425709709
TEST2ea13bc990-pandas_testing_dataset (3) 0.2
anneal (18) 0.90677425709709
anneal (101) 0.90677425709709
anneal (47) 0.90677425709709
anneal (89) 0.90677425709709
anneal (14) 0.90677425709709
TEST0ce86503a9-XOR (1)
anneal (26) 0.66120692823903
anneal (45) 0.90677425709709
anneal (60) 0.90677425709709
anneal (39) 0.66120692823903
anneal (106) 0.90677425709709
anneal (86) 0.90677425709709
anneal (31) 0.90677425709709
anneal (78) 0.90677425709709
TEST843467ee18-XOR (1)
anneal (67) 0.90677425709709
TEST95346f9559-pandas_testing_dataset (3)
TEST15ca9f322a-pandas_testing_dataset (3) 0.2
anneal (100) 0.90677425709709
anneal (107) 0.90677425709709
TESTfd7b579d2e-UploadTestWithURL (1)
anneal (44) 0.90677425709709
anneal (22) 0.90677425709709
anneal (96) 0.90677425709709
anneal (84) 0.90677425709709
TEST03ae3917f9-pandas_testing_dataset (3) 0.2
TEST95346f9559-pandas_testing_dataset (2)
TEST2ea13bc990-pandas_testing_dataset (1)
TEST2ea13bc990-pandas_testing_dataset (2)
anneal (30) 0.90677425709709
TESTf376696645-ModifiedWeather (1)
anneal (34) 0.90677425709709
TEST6ca4501805-pandas_testing_dataset (1)
anneal (88) 0.90677425709709
anneal (36) 0.66120692823903
anneal (94) 0.90677425709709
anneal (72) 0.90677425709709
TESTe23b3943e2-XOR (1)
TESTc682124a7c-pandas_testing_dataset (3) 0.2
TEST15ca9f322a-pandas_testing_dataset (1)
TEST17559f05ba-XOR (1)
anneal (90) 0.90677425709709
TEST06a78f9b67-pandas_testing_dataset (2)
anneal (35) 0.66120692823903
anneal (41) 0.90677425709709
anneal (32) 0.90677425709709
TESTfb8c9dda6b-pandas_testing_dataset (2)
TEST6cd383bd36-pandas_testing_dataset (2)
TEST09797384d7-pandas_testing_dataset (2)
TESTfb8c9dda6b-pandas_testing_dataset (4)
TESTc236f8668b-pandas_testing_dataset (3)
TESTb73fca9dea-pandas_testing_dataset (2)
anneal (19) 0.90677425709709
TESTc31b13a56a-XOR (1)
anneal (75) 0.90677425709709
anneal (73) 0.90677425709709
anneal (55) 0.90677425709709
TESTe3a1b5909b-pandas_testing_dataset (1)
TEST15ca9f322a-pandas_testing_dataset (2)
TEST63cf2e1fbd-pandas_testing_dataset (2)
TEST09797384d7-pandas_testing_dataset (3)
TEST63cf2e1fbd-pandas_testing_dataset (1)
TEST95346f9559-pandas_testing_dataset (1)
TESTbd626c29c8-XOR (1)
anneal (95) 0.90677425709709
TEST06a78f9b67-pandas_testing_dataset (4)
anneal (33) 0.90677425709709
TEST95346f9559-pandas_testing_dataset (4)
anneal (59) 0.90677425709709
anneal (99) 0.90677425709709
anneal (82) 0.90677425709709
TEST6cd383bd36-pandas_testing_dataset (1)
TEST257d57cd52-XOR (1)
TEST09797384d7-pandas_testing_dataset (4)
TEST06a78f9b67-pandas_testing_dataset (3)
TESTad9ec77a46-UploadTestWithURL (1)
anneal (62) 0.90677425709709
TEST06a78f9b67-pandas_testing_dataset (1)
anneal (53) 0.90677425709709
anneal (93) 0.90677425709709
anneal (65) 0.66120692823903
anneal (38) 0.90677425709709
anneal (42) 0.90677425709709
anneal (66) 0.90677425709709
TEST09797384d7-pandas_testing_dataset (1)
TESTb73fca9dea-pandas_testing_dataset (1)
anneal (29) 0.90677425709709
anneal (24) 0.90677425709709
anneal (102) 0.66120692823903
anneal (97) 0.90677425709709
anneal (70) 0.94252980556509
TESTb3cf06a12a-ModifiedWeather (1)
TEST6ca4501805-pandas_testing_dataset (2)
TESTc236f8668b-pandas_testing_dataset (4)
TESTa7fbefc142-pandas_testing_dataset (2)
TEST63cf2e1fbd-pandas_testing_dataset (3)
TEST03ae3917f9-pandas_testing_dataset (2)
anneal (56) 0.66120692823903
anneal (103) 0.90677425709709
anneal (108) 0.99434156378601
anneal (109) 0.99434156378601
TEST6ca4501805-pandas_testing_dataset (3) 0.2
Bioresponse (1) 0.76425690460769
cjs (3) 1
dresses-sales (2) 0.53956486042693
pol (1)
sleep (1)
diabetes_numeric (1)
soybean (1) 0.96204224088234
JapaneseVowels (1) 0.93137725526474
first-order-theorem-proving (1) 0.58765458322898
one-hundred-plants-shape (1) 0.7275501104798
cmc (1) 0.65999860099048
cnae-9 (1) 0.9610865162037
segment (1) 0.98186103458831
monks-problems-1 (1) 0.73857460793955
sylva_agnostic (1) 0.97340477972464
bank-marketing (1) 0.81055393998634
phoneme (1) 0.85501774629633
anneal (115) 0.90677425709709
anneal (112) 0.99434156378601
quake (1)
collins (1) 1
kc2 (1) 0.72860038283977
anneal (1) 0.90677425709709
diabetes (1) 0.71866417910448
kr-vs-kp (1) 0.96191206574058
balance-scale (1) 0.84068245961095
anneal (120) 0.90677425709709
anneal (122) 0.66120692823903
anneal (116) 0.90677425709709
anneal (129) 0.90677425709709
anneal (118) 0.90677425709709
anneal (111) 0.99434156378601
Weather (1) 0.34444444444444
anneal (124) 0.90677425709709
Weather (2) 0.34444444444444
anneal (126) 0.90677425709709
XOR (1)
anneal (119) 0.66120692823903
anneal (130) 0.90677425709709
anneal (125) 0.90677425709709
anneal (113) 0.90677425709709
anneal (121) 0.90677425709709
anneal (123) 0.99434156378601
Diabetes(scikit-learn) (1)
XOR (2)
anneal (128) 0.90677425709709
anneal (117) 0.66120692823903
anneal (110) 0.99434156378601
longley (1)
anneal (131) 0.99434156378601
iris (1) 0.95653333333333
anneal (132) 0.99434156378601