Measure

RandomTreeDepth3Kappa

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

Value per dataset

triazines (1)
anneal (8) 0.79532504368526
anneal (4) 0.79532504368526
anneal (2) 0.79532504368526
XOR (1)
Weather (1) 0.1025641025641
web_questionsQA (1)
anneal (6) 0.79532504368526
anneal (7) 0.79532504368526
Weather (2) -0.36585365853659
TEST9e3886e694-XOR (1)
iris (2) 0.9
anneal (12) 0.79532504368526
anneal (14) 0.816017080292
TESTc7ba0dcb5a-XOR (1)
TESTed4a84a4bb-pandas_testing_dataset (2)
test (6) 0.9
TEST51ef687b9d-pandas_testing_dataset (2)
Diabetes(scikit-learn) (1)
anneal (13) 0.79532504368526
TESTb633b550cf-pandas_testing_dataset (1)
test (4) 0.9
TEST51ef687b9d-pandas_testing_dataset (1)
TESTed4a84a4bb-pandas_testing_dataset (1)
test (3) 0.9
test (1) 0.9
test (2) 0.9
TEST51ef687b9d-pandas_testing_dataset (4)
anneal (9) 0.93495841554484
TESTaf99b42041-ModifiedWeather (1)
XOR (2)
test (9) 0.9
anneal (17) 0.79532504368526
test (7) 0.9
TESTe216022baf-UploadTestWithURL (1)
iris-challenge (1) 0.88658265381764
TEST8facacd8dc-UploadTestWithURL (1)
test (10) 0.9
test (14) 0.9
test (5) 0.9
test (13) 0.9
test (12) 0.9
TEST51ef687b9d-pandas_testing_dataset (3)
TESTed4a84a4bb-pandas_testing_dataset (3) -0.25
anneal (3) 0.09436363903399
anneal (23) 0.79532504368526
TEST0ea351d931-pandas_testing_dataset (1)
anneal (24) 0.79532504368526
anneal (18) 0.79532504368526
test (11) 0.9
test (8) 0.9
cpu_act (1)
anneal (26) 0.79532504368526
anneal (27) 0.79532504368526
anneal (39) 0.79532504368526
anneal (43) 0.79532504368526
anneal (63) 0.79532504368526
test (16) 0.9
TEST840571e677-pandas_testing_dataset (1)
anneal (58) 0.79532504368526
Weather (6) -0.36585365853659
anneal (62) 0.79532504368526
anneal (30) 0.79532504368526
test (24) 0.9
test (20) 0.9
anneal (66) 0.93495841554484
anneal (34) 0.09436363903399
anneal (38) 0.79532504368526
anneal (41) 0.79532504368526
Weather (3) 0.1025641025641
XOR (4)
Weather (4) -0.36585365853659
Weather (8) -0.36585365853659
test (19) 0.9
test (21) 0.9
Diabetes(scikit-learn) (3)
XOR (3)
anneal (48) 0.79532504368526
XOR (6)
test (27) 0.9
XOR (5)
bolts (1)
spambase (1) 0.78197360924617
anneal (49) 0.79532504368526
test (33) 0.9
anneal (32) 0.79532504368526
anneal (45) 0.79532504368526
anneal (16) 0.79532504368526
anneal (57) 0.79532504368526
Weather (5) 0.1025641025641
test (26) 0.9
XOR (7)
test (36) 0.9
test (23) 0.9
anneal (59) 0.79532504368526
test (28) 0.9
anneal (42) 0.79532504368526
anneal (33) 0.79532504368526
test (15) 0.9
anneal (37) 0.93495841554484
anneal (53) 0.79532504368526
anneal (25) 0.79532504368526
anneal (56) 0.93495841554484
test (39) 0.9
TEST2fe1e97c97-pandas_testing_dataset (1)
test (35) 0.9
test (29) 0.9
test (31) 0.9
anneal (52) 0.79532504368526
Diabetes(scikit-learn) (4)
anneal (54) 0.79532504368526
Weather (7) 0.1025641025641
test (22) 0.9
test (38) 0.9
test (32) 0.9
test (18) 0.9
Diabetes(scikit-learn) (2)
vineyard (1)
pol (1)
anneal (31) 0.79532504368526
Weather (9) 0.1025641025641
Diabetes(scikit-learn) (5)
TESTccda34c750-pandas_testing_dataset (1)
cnae-9 (1) 0.75208333333333
one-hundred-plants-margin (1) 0.33396464646465
anneal (74) 0.09436363903399
Weather (11) 0.1025641025641
anneal (61) 0.79532504368526
test (17) 0.9
TEST22dd0ebd9b-ModifiedWeather (1)
anneal (36) 0.79532504368526
test (43) 0.9
XOR (9)
anneal (89) 0.79532504368526
TESTee7d03de92-pandas_testing_dataset (1)
anneal (77) 0.79532504368526
anneal (84) 0.79532504368526
TEST76d8cfa095-pandas_testing_dataset (1)
XOR (10)
blood-transfusion-service-center (1) 0.13567374666781
autoMpg (1)
autoPrice (1)
quake (1)
pbc (1)
TEST5f1dfbd75d-pandas_testing_dataset (1)
anneal (95) 0.09436363903399
anneal (80) 0.79532504368526
test (40) 0.9
TESTda410c34dc-pandas_testing_dataset (2)
TEST398fcda80b-ModifiedWeather (1)
TEST7e318eb969-pandas_testing_dataset (3) -0.25
Weather (10) -0.36585365853659
test (41) 0.9
TEST76d8cfa095-pandas_testing_dataset (3)
test (49) 0.9
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) 0.79532504368526
TEST2fb3e3c09b-XOR (1)
anneal (101) 0.79532504368526
anneal (92) 0.79532504368526
anneal (75) 0.79532504368526
XOR (8)
Weather (14) -0.36585365853659
TESTccda34c750-pandas_testing_dataset (3) -0.25
test (42) 0.9
test (30) 0.9
XOR (13)
anneal (103) 0.79532504368526
Weather (12) -0.36585365853659
anneal (90) 0.79532504368526
anneal (73) 0.79532504368526
anneal (88) 0.93495841554484
TESTe2a3b91028-ModifiedWeather (1)
TESTf7444a8ea4-pandas_testing_dataset (3) -0.25
TEST07c2b360c0-pandas_testing_dataset (3) -0.25
TEST7e318eb969-pandas_testing_dataset (2)
test (47) 0.9
test (50) 0.9
TESTda410c34dc-pandas_testing_dataset (1)
anneal (98) 0.09436363903399
test (37) 0.9
anneal (86) 0.93495841554484
anneal (105) 0.93495841554484
anneal (87) 0.79532504368526
anneal (99) 0.79532504368526
test (44) 0.9
TESTcf74ef9481-XOR (1)
XOR (12)
test (51) 0.9
anneal (91) 0.816017080292
test (46) 0.9
test (45) 0.9
test (52) 0.9
anneal (44) 0.79532504368526
anneal (79) 0.79532504368526
anneal (28) 0.79532504368526
test (48) 0.9
TEST7e318eb969-pandas_testing_dataset (1)
TESTda410c34dc-pandas_testing_dataset (4)
TEST07c2b360c0-pandas_testing_dataset (2)
TESTdcaa77be46-XOR (1)
TEST8eecdebbd6-XOR (1)
anneal (102) 0.79532504368526
Diabetes(scikit-learn) (7)
anneal (97) 0.79532504368526
TEST2302efba1e-XOR (1)
anneal (72) 0.60153584930825
test (34) 0.9
TEST07c2b360c0-pandas_testing_dataset (1)
Weather (13) 0.1025641025641
TESTc09922bc0f-XOR (1)
test (25) 0.9
TEST76d8cfa095-pandas_testing_dataset (2)
TEST76d8cfa095-pandas_testing_dataset (4)
cylinder-bands (2) 0.14629977781576
diabetes_numeric (1)
semeion (1) 0.60796741359892
anneal (11) 0.79532504368526
anneal (106) 0.09436363903399
anneal (115) 0.93495841554484
XOR (18)
anneal (116) 0.816017080292
anneal (113) 0.79532504368526
anneal (107) 0.79532504368526
mfeat-zernike (1) 0.55944444444444
Bioresponse (1) 0.35412344094215
kr-vs-kp (1) 0.89084986537396
lowbwt (1)
anneal (82) 0.79532504368526
anneal (114) 0.79532504368526
Diabetes(scikit-learn) (9)
Diabetes(scikit-learn) (8)
Diabetes(scikit-learn) (10)
credit-a (1) 0.49105006303981
anneal (119) 0.79532504368526
anneal (118) 0.79532504368526
XOR (21)
Weather (17) 0.1025641025641
Weather (21) 0.1025641025641
XOR (23)
XOR (19)
XOR (17)
XOR (16)
XOR (24)
Diabetes(scikit-learn) (11)
profb (1) 0.12135355892649
climate-model-simulation-crashes (1) 0.24851858502424
pendigits (1) 0.93984126735044
tic-tac-toe (1) 0.49792748582591
abalone (1) 0.13721087185605
delta_elevators (1)
MiceProtein (1) 0.49182724252492
anneal (108) 0.09436363903399
artificial-characters (1) 0.16242540908414
cloud (1)
mushroom (1) 0.9990140245421
anneal (141) 0.79532504368526
Weather (18) -0.36585365853659
anneal (147) 0.79532504368526
anneal (136) 0.79532504368526
anneal (135) 0.60153584930825
anneal (122) 0.93495841554484
XOR (22)
Weather (22) -0.36585365853659
anneal (112) 0.79532504368526
XOR (29)
anneal (128) 0.79532504368526
anneal (139) 0.79532504368526
XOR (27)
eucalyptus (1) 0.39151346704196
PhishingWebsites (1) 0.88761955763799
one-hundred-plants-shape (1) 0.36868686868687
cholesterol (1)
texture (1) 0.882
fourclass_scale (1)
credit-g (1) 0.2781007751938
anneal (151) 0.79532504368526
anneal (132) 0.79532504368526
anneal (156) 0.79532504368526
anneal (134) 0.79532504368526
anneal (149) 0.79532504368526
Weather (16) -0.36585365853659
Weather (15) 0.1025641025641
Weather (27) 0.1025641025641
anneal (126) 0.79532504368526
anneal (167) 0.09436363903399
anneal (127) 0.79532504368526
anneal (131) 0.79532504368526
anneal (124) 0.93495841554484
Diabetes(scikit-learn) (15)
Diabetes(scikit-learn) (14)
anneal (143) 0.79532504368526
anneal (121) 0.79532504368526
anneal (146) 0.79532504368526
anneal (158) 0.79532504368526
anneal (120) 0.79532504368526
anneal (117) 0.93495841554484
Weather (24) -0.36585365853659
Diabetes(scikit-learn) (12)
XOR (31)
anneal (150) 0.79532504368526
XOR (32)
Weather (23) 0.1025641025641
anneal (160) 0.79532504368526
Diabetes(scikit-learn) (17)
anneal (155) 0.79532504368526
Weather (30) -0.36585365853659
anneal (110) 0.79532504368526
anneal (173) 0.93495841554484
Weather (20) -0.36585365853659
TEST569e152152-pandas_testing_dataset (2)
XOR (33)
Weather (26) -0.36585365853659
Weather (28) -0.36585365853659
XOR (15)
anneal (137) 0.93495841554484
Weather (19) 0.1025641025641
anneal (144) 0.79532504368526
XOR (25)
anneal (166) 0.93495841554484
XOR (30)
anneal (159) 0.79532504368526
anneal (161) 0.09436363903399
anneal (154) 0.79532504368526
anneal (125) 0.79532504368526
Weather (31) 0.1025641025641
Weather (34) -0.36585365853659
anneal (168) 0.09436363903399
anneal (172) 0.09436363903399
anneal (140) 0.79532504368526
anneal (129) 0.79532504368526
anneal (174) 0.79532504368526
XOR (20)
Weather (25) 0.1025641025641
Diabetes(scikit-learn) (16)
XOR (34)
XOR (28)
anneal (162) 0.79532504368526
anneal (109) 0.09436363903399
anneal (171) 0.09436363903399
anneal (164) 0.79532504368526
anneal (145) 0.79532504368526
anneal (123) 0.93495841554484
Weather (33) 0.1025641025641
Diabetes(scikit-learn) (13)
XOR (26)
anneal (152) 0.09436363903399
anneal (169) 0.09436363903399
anneal (142) 0.93495841554484
Weather (29) 0.1025641025641
Weather (32) -0.36585365853659
TEST63cd902071-pandas_testing_dataset (2)
anneal (175) 0.79532504368526
TESTe55d2d0c3d-pandas_testing_dataset (2)
anneal (177) 0.79532504368526
TESTe55d2d0c3d-pandas_testing_dataset (3) -0.25
anneal (178) 0.816017080292
TEST9d96ec7ade-UploadTestWithURL (1)
anneal (180) 0.79532504368526
TESTcf61db30f6-pandas_testing_dataset (1)
anneal (181) 0.79532504368526
TEST63cd902071-pandas_testing_dataset (4)
TEST63cd902071-pandas_testing_dataset (3)
TESTada3067c77-XOR (1)
TESTf112d7f8be-XOR (1)
TEST9ecb165245-UploadTestWithURL (1)
anneal (179) 0.09436363903399
TESTaebada2a36-ModifiedWeather (1)
TESTe55d2d0c3d-pandas_testing_dataset (1)
TEST63cd902071-pandas_testing_dataset (1)
anneal (182) 0.09436363903399
anneal (183) 0.09436363903399
anneal (184) 0.79532504368526
mfeat-pixel (1) 0.54555555555556
madelon (1) 0.022307692307692
cleveland (1)
mfeat-karhunen (1) 0.66
isolet (1) 0.59717843189942
mozilla4 (1) 0.84204342495591
anneal (185) 0.79532504368526
Weather (35) 0.1025641025641
anneal (190) 0.09436363903399
anneal (187) 0.79532504368526
anneal (192) 0.79532504368526
anneal (191) 0.60153584930825
Weather (36) -0.36585365853659
XOR (36)
bank-marketing (1) 0.35215404064906
musk (1) 0.86545116338453
sylva_agnostic (1) 0.6698766756059
pc3 (1) 0.16861356637951
wisconsin (1)
anneal (186) 0.79532504368526
anneal (189) 0.79532504368526
Diabetes(scikit-learn) (18)
XOR (35)
anneal (193) 0.1756280361879
ModifiedWeather (1)
XOR (37)
XOR (38)
UploadTestWithURL (1)
UploadTestWithURL (2)
anneal (195) 0.09436363903399
anneal (198) 0.09436363903399
anneal (194) 0.09436363903399
anneal (201) 0.79532504368526
Weather (38) -0.36585365853659
XOR (39)
Weather (37) 0.1025641025641
Diabetes(scikit-learn) (19)
anneal (199) 0.09436363903399
anneal (196) 0.09436363903399
anneal (200) 0.60153584930825
XOR (40)
UNIX_user_data (1)
anneal (176) 0.09436363903399
mfeat-fourier (1) 0.58277777777778
car (1) 0.60666686832633
splice (1) 0.50309519537883
vehicle (1) 0.58207191219018
electricity (1) 0.70105773963634
anneal (208) 0.09436363903399
anneal (202) 0.09436363903399
anneal (206) 0.60153584930825
Weather (39) 0.1025641025641
XOR (42)
anneal (203) 0.79532504368526
anneal (209) 0.09436363903399
anneal (207) 0.79532504368526
anneal (204) 0.79532504368526
Weather (40) -0.36585365853659
Diabetes(scikit-learn) (20)
XOR (41)
har (1) 0.82203559561117
hill-valley (1) 0.079207920792079
micro-mass (2) 0.4265249039012
detroit (1)
mfeat-morphological (1) 0.62833333333333
sick (1) 0.65226244253208
LED-display-domain-7digit (1) 0.63762960855105
scene (1) 0.43532860696277
auto_price (1)
breast-w (1) 0.90174526954416
anneal (94) 0.09436363903399
anneal (213) 0.79532504368526
anneal (215) 0.79532504368526
Diabetes(scikit-learn) (21)
Weather (42) -0.36585365853659
Weather (41) 0.1025641025641
XOR (43)
anneal (211) 0.09436363903399
anneal (210) 0.09436363903399
anneal (214) 0.09436363903399
anneal (212) 0.79532504368526
anneal (218) 0.60153584930825
XOR (44)
segment (1) 0.93535353535354
anneal (222) 0.79532504368526
Weather (43) 0.1025641025641
anneal (220) 0.09436363903399
XOR (46)
anneal (224) 0.09436363903399
anneal (226) 0.09436363903399
anneal (219) 0.79532504368526
Diabetes(scikit-learn) (22)
XOR (45)
anneal (221) 0.79532504368526
anneal (225) 0.93495841554484
Weather (44) -0.36585365853659
monks-problems-1 (1) 0.84892086330935
irish (1) 0.9019800039208
gina_agnostic (1) 0.50952481576815
MagicTelescope (1) 0.58011712623174
fruitfly (1)
cjs (3) 0.79146268316209
dresses-sales (2) 0.069282136894825
jm1 (1) 0.048586976136258
mfeat-factors (1) 0.78555555555556
balance-scale (1) 0.62573177816508
optdigits (1) 0.45758160082966
letter (1) 0.816017080292
cmc (1) 0.19342354382448
soybean (1) 0.79601919852507
pc1 (1) 0.21351574386879
banknote-authentication (1) 0.97493121238177
cardiotocography (1) 0.94553469085915
gas-drift (1) 0.95046786635053
ilpd (1) 0.20515708358032
ozone-level-8hr (1) 0.2774168297456
phoneme (1) 0.62032300536003
tamilnadu-electricity (1) 1
wilt (1) 0.74841405197256
mbagrade (1)
sleep (1)
vowel (2) 0.68
synthetic_control (1) 0.85
kc1 (1) 0.31131913160417
wall-robot-navigation (1) 0.9621173077579
steel-plates-fault (1) 0.87008016872187
Amazon_employee_access (1) 0.32803120170197
GesturePhaseSegmentationProcessed (1) 0.30868872800223
kin8nm (1)
qsar-biodeg (1) 0.53654692840328
satimage (1) 0.7945482122759
nomao (1) 0.85241384972172
Click_prediction_small (5) 0.091566635367208
anneal (234) 0.79532504368526
Diabetes(scikit-learn) (23)
anneal (244) 0.93495841554484
XOR (50)
anneal (228) 0.09436363903399
anneal (237) 0.79532504368526
anneal (242) 0.79532504368526
anneal (231) 0.60153584930825
Weather (47) 0.1025641025641
Weather (45) 0.1025641025641
TEST08f51af3c8-pandas_testing_dataset (1)
TESTa365aee568-UploadTestWithURL (1)
anneal (233) 0.79532504368526
anneal (240) 0.79532504368526
anneal (229) 0.79532504368526
TEST037907c164-pandas_testing_dataset (3) -0.25
TESTa540f38c2d-pandas_testing_dataset (1)
TESTfd496f5b4d-XOR (1)
TEST037907c164-pandas_testing_dataset (2)
XOR (47)
XOR (48)
TEST82462bce44-UploadTestWithURL (1)
XOR (49)
anneal (241) 0.79532504368526
anneal (227) 0.79532504368526
anneal (236) 0.79532504368526
TESTa540f38c2d-pandas_testing_dataset (4)
Weather (46) -0.36585365853659
Weather (48) -0.36585365853659
anneal (235) 0.1756280361879
TESTa540f38c2d-pandas_testing_dataset (2)
TESTa540f38c2d-pandas_testing_dataset (3)
anneal (238) 0.79532504368526
Diabetes(scikit-learn) (24)
GermanCreditModified (1)
GermanCreditModified (3)
GermanCreditModified (2)
TEST062fea70c5-XOR (1)
anneal (249) 0.09436363903399
Weather (50) -0.36585365853659
anneal (246) 0.09436363903399
anneal (251) 0.79532504368526
anneal (252) 0.09436363903399
anneal (247) 0.79532504368526
anneal (245) 0.79532504368526
XOR (51)
anneal (250) 0.93495841554484
Weather (49) 0.1025641025641
Diabetes(scikit-learn) (25)
XOR (52)
ada_agnostic (1) 0.44202813326583
pc4 (1) 0.32590363939992
first-order-theorem-proving (1) 0.35688307609265
one-hundred-plants-texture (1) 0.37397841450643
wdbc (1) 0.87511389862524
pharynx (1)
analcatdata_dmft (1) 0.040965209748664
Australian (3) 0.54097068619226
waveform-5000 (1) 0.56257405189276
monks-problems-2 (1) 0.16616822775678
JapaneseVowels (1) 0.8169971694548
adult (2) 0.47323401274383
anneal (232) 0.09436363903399
monks-problems-3 (1) 0.88792597136481
analcatdata_authorship (1) 0.77260981378818
diabetes (1) 0.32719605630457
eeg-eye-state (1) 0.61884516896747
collins (1) 0.55521107656535
kc2 (1) 0.38280536629908
anneal (253) 0.09436363903399
anneal (255) 0.09436363903399
anneal (257) 0.79532504368526
anneal (260) 0.93495841554484
Weather (52) -0.36585365853659
anneal (1) 0.79532504368526
Diabetes(scikit-learn) (26)
longley (1)
iris (1) 0.9
anneal (259) 0.79532504368526
anneal (258) 0.79532504368526
XOR (54)
Weather (51) 0.1025641025641
XOR (53)
anneal (254) 0.09436363903399