Measure

J48.0001.AUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001

Value per dataset

mbagrade (1)
wdbc (1) 0.93708709899054
vehicle (1) 0.83167338594414
jm1 (1) 0.65927323545883
cleveland (1)
ada_agnostic (1) 0.8213220750188
cholesterol (1)
madelon (1) 0.62318165680473
one-hundred-plants-texture (1) 0.74226236688825
micro-mass (2) 0.87748633950618
mfeat-zernike (1) 0.86092319444444
MagicTelescope (1) 0.85191922015622
mfeat-karhunen (1) 0.88964875
credit-a (1) 0.89285683911516
mushroom (1) 1
tamilnadu-electricity (1) 1
Click_prediction_small (5) 0.57849030192548
isolet (1) 0.91883492454149
cylinder-bands (2) 0.6607624831309
autoMpg (1)
mfeat-morphological (1) 0.91142041666667
pc1 (1) 0.56554540420819
credit-g (1) 0.66174761904762
qsar-biodeg (1) 0.83374322868946
iris-challenge (1) 0.91137585255232
spambase (1) 0.92454166900775
splice (1) 0.95905001089863
anneal (3) 0.93915853687672
vowel (2) 0.87303142536476
ilpd (1) 0.65807807461999
blood-transfusion-service-center (1) 0.69602306327617
artificial-characters (1) 0.92668755969741
mozilla4 (1) 0.94715778543431
kc1 (1) 0.70307849526372
fourclass_scale (1)
analcatdata_dmft (1) 0.52947404856118
optdigits (1) 0.94216721397087
GesturePhaseSegmentationProcessed (1) 0.68975438450934
eeg-eye-state (1) 0.82719338772788
wilt (1) 0.92252050034397
pharynx (1)
kin8nm (1)
gina_agnostic (1) 0.84379398619056
Amazon_employee_access (1) 0.49986821296784
sick (1) 0.93536751302919
profb (1) 0.54960040656888
wall-robot-navigation (1) 0.99587513580113
monks-problems-2 (1) 0.53932653312031
wisconsin (1)
triazines (1)
bolts (1)
har (1) 0.96423375285056
gas-drift (1) 0.98314644608484
scene (1) 0.97873495871573
mfeat-fourier (1) 0.85942194444444
anneal (2) 0.93915853687672
semeion (1) 0.85665986354922
one-hundred-plants-margin (1) 0.72331340751263
banknote-authentication (1) 0.98748009982359
cardiotocography (1) 1
cloud (1)
adult (2) 0.88566296717319
climate-model-simulation-crashes (1) 0.79752684386552
a (1) 0.95653333333333
letter (1) 0.93796760531256
Australian (3) 0.83595563909135
tic-tac-toe (1) 0.84932541668271
mfeat-pixel (1) 0.89038263888889
MiceProtein (1) 1
fruitfly (1)
analcatdata_authorship (1) 0.93894345591894
pc3 (1) 0.53120322523165
autoPrice (1)
auto_price (1)
musk (1) 0.99469297872382
hill-valley (1) 0.5
anneal (6) 0.93915853687672
ozone-level-8hr (1) 0.71185630791912
irish (1) 1
electricity (1) 0.90220359245982
satimage (1) 0.91972593425361
lowbwt (1)
nomao (1) 0.94655802980911
breast-w (1) 0.92696008262516
monks-problems-3 (1) 0.98654187552214
pbc (1)
delta_elevators (1)
vineyard (1)
texture (1) 0.9627766
mfeat-factors (1) 0.92771027777778
eucalyptus (1) 0.81841371516832
pendigits (1) 0.98177497879659
pc4 (1) 0.70757329705056
UNIX_user_data (1)
detroit (1)
synthetic_control (1) 0.93776333333333
abalone (1) 0.58274545477168
anneal (5) 0.93915853687672
waveform-5000 (1) 0.8272095964258
LED-display-domain-7digit (1) 0.8868692509275
steel-plates-fault (1) 1
PhishingWebsites (1) 0.97543648758533
car (1) 0.96740690511816
a (2) 0.95653333333333
iris (2) 0.95653333333333
cpu_act (1)
anneal (7) 0.93915853687672
anneal (8) 0.93915853687672
anneal (11) 0.93915853687672
anneal (12) 0.59399339585177
anneal (9) 0.93915853687672
anneal (10) 0.93915853687672
anneal (13) 0.93915853687672
anneal (15) 0.59399339585177
TESTcd6b36175d-ModifiedWeather (1)
TEST79d5120512-XOR (1)
anneal (16) 0.93915853687672
TEST03ae3917f9-pandas_testing_dataset (1)
TESTfce9706bd8-pandas_testing_dataset (1)
anneal (20) 0.59399339585177
anneal (25) 0.93915853687672
anneal (64) 0.93915853687672
TESTc236f8668b-pandas_testing_dataset (1)
anneal (52) 0.93915853687672
anneal (23) 0.93915853687672
anneal (51) 0.93915853687672
TEST42f439d59e-ModifiedWeather (1)
TEST6cd383bd36-pandas_testing_dataset (3) 0.2
TESTb73fca9dea-pandas_testing_dataset (3) 0.2
TEST1c031057be-XOR (1)
anneal (69) 0.59399339585177
anneal (37) 0.93915853687672
anneal (28) 0.93915853687672
TEST68b8719aa6-pandas_testing_dataset (3) 0.2
anneal (54) 0.93915853687672
TEST497883d61c-XOR (1)
anneal (61) 0.93915853687672
anneal (77) 0.93915853687672
anneal (68) 0.93915853687672
TESTfb8c9dda6b-pandas_testing_dataset (1)
TEST12cee25e4e-ModifiedWeather (1)
TESTfb357f8e8d-ModifiedWeather (1)
TEST24233797e6-XOR (1)
TESTb1d41eaa75-XOR (1)
anneal (63) 0.93915853687672
TESTc236f8668b-pandas_testing_dataset (2)
anneal (21) 0.93915853687672
TEST63cf2e1fbd-pandas_testing_dataset (4)
anneal (58) 0.59399339585177
TESTfb8c9dda6b-pandas_testing_dataset (3)
anneal (76) 0.93915853687672
TEST2ea13bc990-pandas_testing_dataset (3) 0.2
anneal (18) 0.93915853687672
anneal (101) 0.93915853687672
anneal (47) 0.93915853687672
anneal (89) 0.93915853687672
anneal (14) 0.93915853687672
TEST0ce86503a9-XOR (1)
anneal (26) 0.59399339585177
anneal (45) 0.93915853687672
anneal (60) 0.93915853687672
anneal (39) 0.59399339585177
anneal (106) 0.93915853687672
anneal (86) 0.93915853687672
anneal (31) 0.93915853687672
anneal (78) 0.93915853687672
TEST843467ee18-XOR (1)
anneal (67) 0.93915853687672
TEST95346f9559-pandas_testing_dataset (3)
TEST15ca9f322a-pandas_testing_dataset (3) 0.2
anneal (100) 0.93915853687672
anneal (107) 0.93915853687672
TESTfd7b579d2e-UploadTestWithURL (1)
anneal (44) 0.93915853687672
anneal (22) 0.93915853687672
anneal (96) 0.93915853687672
anneal (84) 0.93915853687672
TEST03ae3917f9-pandas_testing_dataset (3) 0.2
TEST95346f9559-pandas_testing_dataset (2)
TEST2ea13bc990-pandas_testing_dataset (1)
TEST2ea13bc990-pandas_testing_dataset (2)
anneal (30) 0.93915853687672
TESTf376696645-ModifiedWeather (1)
anneal (34) 0.93915853687672
TEST6ca4501805-pandas_testing_dataset (1)
anneal (88) 0.93915853687672
anneal (36) 0.59399339585177
anneal (94) 0.93915853687672
anneal (72) 0.93915853687672
TESTe23b3943e2-XOR (1)
TESTc682124a7c-pandas_testing_dataset (3) 0.2
TEST15ca9f322a-pandas_testing_dataset (1)
TEST17559f05ba-XOR (1)
anneal (90) 0.93915853687672
TEST06a78f9b67-pandas_testing_dataset (2)
anneal (35) 0.59399339585177
anneal (41) 0.93915853687672
anneal (32) 0.93915853687672
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) 0.93915853687672
TESTc31b13a56a-XOR (1)
anneal (75) 0.93915853687672
anneal (73) 0.93915853687672
anneal (55) 0.93915853687672
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) 0.93915853687672
TEST06a78f9b67-pandas_testing_dataset (4)
anneal (33) 0.93915853687672
TEST95346f9559-pandas_testing_dataset (4)
anneal (59) 0.93915853687672
anneal (99) 0.93915853687672
anneal (82) 0.93915853687672
TEST6cd383bd36-pandas_testing_dataset (1)
TEST257d57cd52-XOR (1)
TEST09797384d7-pandas_testing_dataset (4)
TEST06a78f9b67-pandas_testing_dataset (3)
TESTad9ec77a46-UploadTestWithURL (1)
anneal (62) 0.93915853687672
TEST06a78f9b67-pandas_testing_dataset (1)
anneal (53) 0.93915853687672
anneal (93) 0.93915853687672
anneal (65) 0.59399339585177
anneal (38) 0.93915853687672
anneal (42) 0.93915853687672
anneal (66) 0.93915853687672
TEST09797384d7-pandas_testing_dataset (1)
TESTb73fca9dea-pandas_testing_dataset (1)
anneal (29) 0.93915853687672
anneal (24) 0.93915853687672
anneal (102) 0.59399339585177
anneal (97) 0.93915853687672
anneal (70) 0.93796760531256
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) 0.59399339585177
anneal (103) 0.93915853687672
anneal (108) 0.99434156378601
anneal (109) 0.99434156378601
TEST6ca4501805-pandas_testing_dataset (3) 0.2
Bioresponse (1) 0.70345191728959
cjs (3) 1
dresses-sales (2) 0.5120645320197
pol (1)
sleep (1)
diabetes_numeric (1)
soybean (1) 0.97390470684706
JapaneseVowels (1) 0.93556581394227
first-order-theorem-proving (1) 0.73169358332862
one-hundred-plants-shape (1) 0.73323686079545
cmc (1) 0.65201640815429
cnae-9 (1) 0.95952160493827
segment (1) 0.97669487078578
monks-problems-1 (1) 0.96291599813674
sylva_agnostic (1) 0.95700228774831
bank-marketing (1) 0.83533754642691
phoneme (1) 0.8678687005272
anneal (115) 0.93915853687672
anneal (112) 0.99434156378601
quake (1)
collins (1) 1
kc2 (1) 0.72790226325864
diabetes (1) 0.70743656716418
kr-vs-kp (1) 0.99606229078897
balance-scale (1) 0.84068245961095
anneal (120) 0.93915853687672
anneal (122) 0.59399339585177
anneal (116) 0.93915853687672
anneal (129) 0.93915853687672
anneal (118) 0.93915853687672
anneal (111) 0.99434156378601
Weather (1) 0.3
anneal (124) 0.93915853687672
Weather (2) 0.3
anneal (126) 0.93915853687672
XOR (1)
anneal (119) 0.59399339585177
anneal (130) 0.93915853687672
anneal (125) 0.93915853687672
anneal (113) 0.93915853687672
anneal (121) 0.93915853687672
anneal (123) 0.99434156378601
Diabetes(scikit-learn) (1)
XOR (2)
anneal (117) 0.59399339585177
anneal (128) 0.93915853687672
anneal (132) 0.99434156378601
anneal (110) 0.99434156378601
anneal (131) 0.99434156378601
iris (1) 0.95653333333333
anneal (1) 0.93915853687672
longley (1)