Measure

RandomTreeDepth3Kappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

Value per dataset

mbagrade (1)
wdbc (1) 0.87511389862524
vehicle (1) 0.58207191219018
jm1 (1) 0.19986613136483
cleveland (1)
ada_agnostic (1) 0.44202813326583
cholesterol (1)
madelon (1) 0.022307692307692
one-hundred-plants-texture (1) 0.37397841450643
micro-mass (2) 0.4265249039012
mfeat-zernike (1) 0.55944444444444
MagicTelescope (1) 0.58011712623174
mfeat-karhunen (1) 0.66
credit-a (1) 0.49105006303981
mushroom (1) 0.9990140245421
tamilnadu-electricity (1) 1
Click_prediction_small (5) 0.091566635367208
isolet (1) 0.59717843189942
cylinder-bands (2) 0.14629977781576
autoMpg (1)
mfeat-morphological (1) 0.62833333333333
pc1 (1) 0.21351574386879
credit-g (1) 0.2781007751938
qsar-biodeg (1) 0.53654692840328
iris-challenge (1) 0.88658265381764
spambase (1) 0.78197360924617
splice (1) 0.50309519537883
anneal (3) 0.79532504368526
vowel (2) 0.68
ilpd (1) 0.20515708358032
blood-transfusion-service-center (1) 0.13567374666781
artificial-characters (1) 0.76084968502074
mozilla4 (1) 0.84204342495591
kc1 (1) 0.31131913160417
fourclass_scale (1)
analcatdata_dmft (1) 0.040965209748664
optdigits (1) 0.82067985838277
GesturePhaseSegmentationProcessed (1) 0.30868872800223
eeg-eye-state (1) 0.61884516896747
wilt (1) 0.74841405197256
pharynx (1)
kin8nm (1)
gina_agnostic (1) 0.50952481576815
Amazon_employee_access (1) 0.32803120170197
sick (1) 0.65226244253208
profb (1) 0.12135355892649
wall-robot-navigation (1) 0.9621173077579
monks-problems-2 (1) 0.16616822775678
wisconsin (1)
triazines (1)
bolts (1)
har (1) 0.82203559561117
gas-drift (1) 0.95046786635053
scene (1) 0.43532860696277
mfeat-fourier (1) 0.58277777777778
anneal (2) 0.79532504368526
semeion (1) 0.60796741359892
one-hundred-plants-margin (1) 0.33396464646465
banknote-authentication (1) 0.97493121238177
cardiotocography (1) 0.94553469085915
cloud (1)
adult (2) 0.47323401274383
climate-model-simulation-crashes (1) 0.24851858502424
a (1) 0.86
letter (1) 0.816017080292
Australian (3) 0.54097068619226
tic-tac-toe (1) 0.49792748582591
mfeat-pixel (1) 0.54555555555556
MiceProtein (1) 0.49182724252492
fruitfly (1)
analcatdata_authorship (1) 0.77260981378818
pc3 (1) 0.16861356637951
autoPrice (1)
auto_price (1)
musk (1) 0.86545116338453
hill-valley (1) 0.079207920792079
anneal (6) 0.79532504368526
ozone-level-8hr (1) 0.2774168297456
irish (1) 0.9019800039208
electricity (1) 0.70105773963634
satimage (1) 0.7945482122759
lowbwt (1)
nomao (1) 0.85241384972172
breast-w (1) 0.90174526954416
monks-problems-3 (1) 0.88792597136481
pbc (1)
delta_elevators (1)
vineyard (1)
texture (1) 0.882
mfeat-factors (1) 0.78555555555556
eucalyptus (1) 0.39151346704196
pendigits (1) 0.93984126735044
pc4 (1) 0.32590363939992
UNIX_user_data (1)
detroit (1)
synthetic_control (1) 0.85
abalone (1) 0.097728056003618
anneal (5) 0.79532504368526
waveform-5000 (1) 0.56257405189276
LED-display-domain-7digit (1) 0.63762960855105
steel-plates-fault (1) 0.31045809387848
PhishingWebsites (1) 0.88761955763799
car (1) 0.60666686832633
a (2) 0.9
iris (2) 0.9
cpu_act (1)
anneal (7) 0.79532504368526
anneal (8) 0.79532504368526
anneal (11) 0.79532504368526
anneal (12) 0.09436363903399
anneal (9) 0.79532504368526
anneal (10) 0.79532504368526
anneal (13) 0.79532504368526
anneal (15) 0.09436363903399
TESTcd6b36175d-ModifiedWeather (1)
TEST79d5120512-XOR (1)
anneal (16) 0.79532504368526
TEST03ae3917f9-pandas_testing_dataset (1)
TESTfce9706bd8-pandas_testing_dataset (1)
anneal (20) 0.09436363903399
anneal (25) 0.79532504368526
anneal (64) 0.79532504368526
TESTc236f8668b-pandas_testing_dataset (1)
anneal (52) 0.79532504368526
anneal (23) 0.79532504368526
anneal (51) 0.79532504368526
TEST42f439d59e-ModifiedWeather (1)
TEST6cd383bd36-pandas_testing_dataset (3) -0.25
TESTb73fca9dea-pandas_testing_dataset (3) -0.25
TEST1c031057be-XOR (1)
anneal (69) 0.09436363903399
anneal (37) 0.79532504368526
anneal (28) 0.79532504368526
TEST68b8719aa6-pandas_testing_dataset (3) -0.25
anneal (54) 0.79532504368526
TEST497883d61c-XOR (1)
anneal (61) 0.79532504368526
anneal (77) 0.79532504368526
anneal (68) 0.79532504368526
TESTfb8c9dda6b-pandas_testing_dataset (1)
TEST12cee25e4e-ModifiedWeather (1)
TESTfb357f8e8d-ModifiedWeather (1)
TEST24233797e6-XOR (1)
TESTb1d41eaa75-XOR (1)
anneal (63) 0.79532504368526
TESTc236f8668b-pandas_testing_dataset (2)
anneal (21) 0.79532504368526
TEST63cf2e1fbd-pandas_testing_dataset (4)
anneal (58) 0.09436363903399
TESTfb8c9dda6b-pandas_testing_dataset (3)
anneal (76) 0.79532504368526
TEST2ea13bc990-pandas_testing_dataset (3) -0.25
anneal (18) 0.79532504368526
anneal (101) 0.79532504368526
anneal (47) 0.79532504368526
anneal (89) 0.79532504368526
anneal (14) 0.79532504368526
TEST0ce86503a9-XOR (1)
anneal (26) 0.09436363903399
anneal (45) 0.79532504368526
anneal (60) 0.79532504368526
anneal (39) 0.09436363903399
anneal (106) 0.79532504368526
anneal (86) 0.79532504368526
anneal (31) 0.79532504368526
anneal (78) 0.79532504368526
TEST843467ee18-XOR (1)
anneal (67) 0.79532504368526
TEST95346f9559-pandas_testing_dataset (3)
TEST15ca9f322a-pandas_testing_dataset (3) -0.25
anneal (100) 0.79532504368526
anneal (107) 0.79532504368526
TESTfd7b579d2e-UploadTestWithURL (1)
anneal (44) 0.79532504368526
anneal (22) 0.79532504368526
anneal (96) 0.79532504368526
anneal (84) 0.79532504368526
TEST03ae3917f9-pandas_testing_dataset (3) -0.25
TEST95346f9559-pandas_testing_dataset (2)
TEST2ea13bc990-pandas_testing_dataset (1)
TEST2ea13bc990-pandas_testing_dataset (2)
anneal (30) 0.79532504368526
TESTf376696645-ModifiedWeather (1)
anneal (34) 0.79532504368526
TEST6ca4501805-pandas_testing_dataset (1)
anneal (88) 0.79532504368526
anneal (36) 0.09436363903399
anneal (94) 0.79532504368526
anneal (72) 0.79532504368526
TESTe23b3943e2-XOR (1)
TESTc682124a7c-pandas_testing_dataset (3) -0.25
TEST15ca9f322a-pandas_testing_dataset (1)
TEST17559f05ba-XOR (1)
anneal (90) 0.79532504368526
TEST06a78f9b67-pandas_testing_dataset (2)
anneal (35) 0.09436363903399
anneal (41) 0.79532504368526
anneal (32) 0.79532504368526
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) 0.79532504368526
TESTc31b13a56a-XOR (1)
anneal (75) 0.79532504368526
anneal (73) 0.79532504368526
anneal (55) 0.79532504368526
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) 0.79532504368526
TEST06a78f9b67-pandas_testing_dataset (4)
anneal (33) 0.79532504368526
TEST95346f9559-pandas_testing_dataset (4)
anneal (59) 0.79532504368526
anneal (99) 0.79532504368526
anneal (82) 0.79532504368526
TEST6cd383bd36-pandas_testing_dataset (1)
TEST257d57cd52-XOR (1)
TEST09797384d7-pandas_testing_dataset (4)
TEST06a78f9b67-pandas_testing_dataset (3)
TESTad9ec77a46-UploadTestWithURL (1)
anneal (62) 0.79532504368526
TEST06a78f9b67-pandas_testing_dataset (1)
anneal (53) 0.79532504368526
anneal (93) 0.79532504368526
anneal (65) 0.09436363903399
anneal (38) 0.79532504368526
anneal (42) 0.79532504368526
anneal (66) 0.79532504368526
TEST09797384d7-pandas_testing_dataset (1)
TESTb73fca9dea-pandas_testing_dataset (1)
anneal (29) 0.79532504368526
anneal (24) 0.79532504368526
anneal (102) 0.09436363903399
anneal (97) 0.79532504368526
anneal (70) 0.816017080292
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) 0.09436363903399
anneal (103) 0.79532504368526
anneal (108) 0.60153584930825
anneal (109) 0.60153584930825
TEST6ca4501805-pandas_testing_dataset (3) -0.25
Bioresponse (1) 0.35412344094215
cjs (3) 0.79146268316209
dresses-sales (2) 0.069282136894825
pol (1)
sleep (1)
diabetes_numeric (1)
soybean (1) 0.79601919852507
JapaneseVowels (1) 0.8169971694548
first-order-theorem-proving (1) 0.13480148990054
one-hundred-plants-shape (1) 0.36868686868687
cmc (1) 0.19342354382448
cnae-9 (1) 0.75208333333333
segment (1) 0.93535353535354
monks-problems-1 (1) 0.84892086330935
sylva_agnostic (1) 0.6698766756059
bank-marketing (1) 0.35215404064906
phoneme (1) 0.62032300536003
anneal (115) 0.79532504368526
anneal (112) 0.60153584930825
quake (1)
collins (1) 0.55521107656535
kc2 (1) 0.38280536629908
anneal (1) 0.79532504368526
diabetes (1) 0.32719605630457
kr-vs-kp (1) 0.89084986537396
balance-scale (1) 0.62573177816508
anneal (120) 0.79532504368526
anneal (122) 0.09436363903399
anneal (116) 0.79532504368526
anneal (129) 0.79532504368526
anneal (118) 0.79532504368526
anneal (111) 0.93495841554484
Weather (1) 0.1025641025641
anneal (124) 0.79532504368526
Weather (2) -0.36585365853659
anneal (126) 0.79532504368526
XOR (1)
anneal (119) 0.09436363903399
anneal (130) 0.79532504368526
anneal (125) 0.79532504368526
anneal (113) 0.79532504368526
anneal (121) 0.79532504368526
anneal (123) 0.60153584930825
Diabetes(scikit-learn) (1)
XOR (2)
anneal (128) 0.79532504368526
anneal (117) 0.09436363903399
anneal (110) 0.60153584930825
longley (1)
anneal (131) 0.60153584930825
iris (1) 0.9
anneal (132) 0.60153584930825