Measure

CfsSubsetEval_DecisionStumpKappa

Kappa coefficient 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

credit-g (1) 0.30569684638861
pc1 (1) 0.10596240043855
first-order-theorem-proving (1) 0.34624274955142
hill-valley (1) 0
mushroom (1) 0.9738461616959
pc3 (1) 0
steel-plates-fault (1) 0.97165733203355
madelon (1) 0.41538461538462
phoneme (1) 0.55794303058604
vineyard (1)
isolet (1) 0.79765560665029
synthetic_control (1) 0.854
abalone (1) 0.10842616587071
mfeat-fourier (1) 0.71777777777778
mozilla4 (1) 0.86663546475276
cylinder-bands (2) 0.16417504756727
spambase (1) 0.82088764456593
banknote-authentication (1) 0.84904975132881
MiceProtein (1) 0.16129032258065
adult (2) 0.56362515511857
MagicTelescope (1) 0.59141417153215
pbc (1)
fourclass_scale (1)
mfeat-morphological (1) 0.67222222222222
bolts (1)
pharynx (1)
diabetes_numeric (1)
pendigits (1) 0.9437860838946
anneal (7) 0.6191022730108
semeion (1) 0.66165532070498
satimage (1) 0.81678145242474
vehicle (1) 0.57437055587854
GesturePhaseSegmentationProcessed (1) 0.340256004749
wilt (1) 0.80464084286337
electricity (1) 0.49835333064918
breast-w (1) 0.87687381157777
musk (1) 0.99767132795188
anneal (6) 0.6191022730108
profb (1) 0
jm1 (1) 0.11830560261068
anneal (3) 0.6191022730108
anneal (17) 0.6191022730108
autoPrice (1)
cleveland (1)
cardiotocography (1) 1
scene (1) 0.73808363572709
ilpd (1) 0.14779196799508
mfeat-zernike (1) 0.65111111111111
wisconsin (1)
anneal (15) 0.6191022730108
anneal (22) 0.6191022730108
car (1) 0.7124332587407
cnae-9 (1) 0.78229166666667
gina_agnostic (1) 0.6994458764773
kin8nm (1)
iris (2) 0.9
delta_elevators (1)
qsar-biodeg (1) 0.57522129375546
monks-problems-1 (1) 0.49280575539568
anneal (14) 0.6191022730108
texture (1) 0.9024
lowbwt (1)
anneal (2) 0.6191022730108
Australian (3) 0.69117609802647
eucalyptus (1) 0.46373071090787
one-hundred-plants-shape (1) 0.37815656565657
analcatdata_dmft (1) 0.031950840204177
anneal (34) 0.6191022730108
anneal (29) 0.6191022730108
anneal (23) 0.6191022730108
pol (1)
mbagrade (1)
Amazon_employee_access (1) 0
letter (1) 0.84175686386753
one-hundred-plants-texture (1) 0.40935283687943
TEST1c848ab209-pandas_testing_dataset (3) -0.25
PhishingWebsites (1) 0.87226958364388
detroit (1)
sylva_agnostic (1) 0.91581149729292
anneal (28) 0.6191022730108
anneal (53) 0.6191022730108
tamilnadu-electricity (1) 0.067775464735717
iris-challenge (1) 0.88655862726406
cholesterol (1)
anneal (41) 0.6191022730108
anneal (10) 0.6191022730108
anneal (35) 0.6191022730108
wdbc (1) 0.87145344124174
anneal (43) 0.6191022730108
anneal (60) 0.6191022730108
TESTebb33ef4fa-XOR (1)
anneal (44) 0.6191022730108
wall-robot-navigation (1) 0.98147560504331
anneal (25) 0.6191022730108
TEST29f9ae6987-XOR (1)
har (1) 0.91252033200752
Bioresponse (1) 0.47447867397224
artificial-characters (1) 0.53453317466563
anneal (51) 0.6191022730108
TEST0a3f20a3a8-pandas_testing_dataset (3) -0.25
anneal (37) 0.6191022730108
anneal (61) 0.6191022730108
anneal (8) 0.6191022730108
vowel (2) 0.66444444444444
nomao (1) 0.85744354977511
anneal (5) 0.6191022730108
anneal (87) 0.6191022730108
TESTc16ac7f367-pandas_testing_dataset (3)
anneal (62) 0.6191022730108
anneal (73) 0.6191022730108
anneal (65) 0.6191022730108
pc4 (1) 0.30203725473562
TEST861d5ffaea-XOR (1)
anneal (77) 0.6191022730108
anneal (59) 0.6191022730108
anneal (74) 0.6191022730108
gas-drift (1) 0.93591052084793
anneal (4) 0.6191022730108
LED-display-domain-7digit (1) 0.65302182403758
anneal (32) 0.6191022730108
anneal (9) 0.6191022730108
optdigits (1) 0.87128809286626
anneal (13) 0.6191022730108
mfeat-karhunen (1) 0.76611111111111
anneal (39) 0.6191022730108
anneal (55) 0.6191022730108
anneal (90) 0.6191022730108
JapaneseVowels (1) 0.83065140445486
anneal (38) 0.6191022730108
anneal (36) 0.6191022730108
anneal (71) 0.6191022730108
anneal (88) 0.6191022730108
anneal (19) 0.6191022730108
anneal (49) 0.6191022730108
anneal (93) 0.6191022730108
anneal (26) 0.6191022730108
anneal (72) 0.6191022730108
anneal (18) 0.6191022730108
anneal (33) 0.6191022730108
anneal (69) 0.35064082373244
anneal (56) 0.6191022730108
anneal (126) 0.6191022730108
sleep (1)
anneal (89) 0.6191022730108
anneal (42) 0.6191022730108
anneal (100) 0.6191022730108
monks-problems-2 (1) 0
anneal (115) 0.6191022730108
mfeat-factors (1) 0.85166666666667
anneal (91) 0.6191022730108
anneal (119) 0.6191022730108
TEST9103715299-pandas_testing_dataset (2)
sick (1) 0.77597197180175
anneal (111) 0.6191022730108
anneal (40) 0.6191022730108
anneal (132) 0.35064082373244
anneal (103) 0.6191022730108
anneal (133) 0.6191022730108
TEST1c3062c843-pandas_testing_dataset (3) -0.25
anneal (67) 0.6191022730108
anneal (95) 0.6191022730108
anneal (76) 0.6191022730108
anneal (144) 0.6191022730108
fruitfly (1)
anneal (16) 0.6191022730108
anneal (27) 0.6191022730108
TESTfab02098c0-pandas_testing_dataset (2)
splice (1) 0.897812250821
anneal (147) 0.6191022730108
one-hundred-plants-margin (1) 0.4084595959596
anneal (80) 0.6191022730108
anneal (104) 0.6191022730108
TEST44eb4b8b3f-XOR (1)
anneal (97) 0.6191022730108
anneal (70) 0.6191022730108
anneal (125) 0.6191022730108
anneal (113) 0.6191022730108
ozone-level-8hr (1) 0.20297436483977
TESTb5b3545d7e-pandas_testing_dataset (3) -0.25
anneal (24) 0.6191022730108
TEST00a13efce9-pandas_testing_dataset (1)
triazines (1)
anneal (107) 0.6191022730108
anneal (173) 0.6191022730108
TESTfab02098c0-pandas_testing_dataset (3)
anneal (99) 0.6191022730108
anneal (176) 0.6191022730108
dresses-sales (2) 0.13287086446105
TESTa86b01f9a8-pandas_testing_dataset (3) -0.25
anneal (159) 0.6191022730108
anneal (158) 0.35064082373244
anneal (165) 0.6191022730108
TEST495d1e52d8-pandas_testing_dataset (1)
climate-model-simulation-crashes (1) 0.019180470793374
anneal (94) 0.6191022730108
anneal (146) 0.6191022730108
anneal (181) 0.6191022730108
anneal (178) 0.6191022730108
anneal (129) 0.6191022730108
anneal (131) 0.6191022730108
anneal (163) 0.6191022730108
TEST9b06efad03-pandas_testing_dataset (1)
TEST6abd679a4e-ModifiedWeather (1)
TEST388a9defc1-pandas_testing_dataset (4)
TEST84e16ea643-UploadTestWithURL (1)
mfeat-pixel (1) 0.73611111111111
anneal (105) 0.35064082373244
micro-mass (2) 0.70142327238263
anneal (148) 0.6191022730108
TESTd4a9ca9c2d-pandas_testing_dataset (3) -0.25
cmc (1) 0.23027588896024
TESTca4a634324-ModifiedWeather (1)
anneal (160) 0.6191022730108
anneal (136) 0.6191022730108
anneal (140) 0.6191022730108
anneal (121) 0.6191022730108
TEST5e105f0c38-pandas_testing_dataset (1)
anneal (164) 0.6191022730108
TEST78cf97e1d2-pandas_testing_dataset (3) -0.25
anneal (182) 0.35064082373244
TESTd746086797-XOR (1)
anneal (75) 0.6191022730108
anneal (112) 0.6191022730108
anneal (47) 0.6191022730108
anneal (153) 0.6191022730108
TEST9d1aa3a77e-XOR (1)
TEST495d1e52d8-pandas_testing_dataset (3) -0.25
TESTe3d8d93ab0-pandas_testing_dataset (3) -0.25
TEST0a395eb24e-XOR (1)
TEST5e105f0c38-pandas_testing_dataset (2)
cjs (3) 1
anneal (123) 0.6191022730108
TEST104676cb6a-pandas_testing_dataset (3)
anneal (201) 0.6191022730108
TEST2c4f0b6c26-pandas_testing_dataset (2)
anneal (155) 0.6191022730108
anneal (194) 0.6191022730108
anneal (167) 0.6191022730108
anneal (171) 0.6191022730108
anneal (162) 0.6191022730108
anneal (135) 0.6191022730108
anneal (223) 0.6191022730108
TESTdd0a5ebb6e-pandas_testing_dataset (2)
anneal (106) 0.6191022730108
TESTfab02098c0-pandas_testing_dataset (4)
anneal (161) 0.6191022730108
anneal (143) 0.6191022730108
anneal (197) 0.6191022730108
anneal (199) 0.6191022730108
anneal (137) 0.6191022730108
anneal (154) 0.6191022730108
anneal (134) 0.6191022730108
auto_price (1)
TEST104676cb6a-pandas_testing_dataset (4)
TESTd66c82a86b-ModifiedWeather (1)
TEST9b06efad03-pandas_testing_dataset (2)
kc1 (1) 0.26043406740541
anneal (228) 0.6191022730108
TEST0be3452fe0-pandas_testing_dataset (2)
anneal (212) 0.6191022730108
anneal (204) 0.6191022730108
anneal (79) 0.6191022730108
anneal (145) 0.6191022730108
anneal (229) 0.6191022730108
TESTdd0a5ebb6e-pandas_testing_dataset (1)
TEST388a9defc1-pandas_testing_dataset (2)
TEST104676cb6a-pandas_testing_dataset (1)
anneal (218) 0.6191022730108
TESTdd0a5ebb6e-pandas_testing_dataset (3)
anneal (198) 0.6191022730108
TEST0be3452fe0-pandas_testing_dataset (3) -0.25
anneal (98) 0.6191022730108
anneal (12) 0.6191022730108
anneal (214) 0.6191022730108
anneal (120) 0.6191022730108
anneal (209) 0.6191022730108
anneal (256) 0.6191022730108
anneal (110) 0.6191022730108
segment (1) 0.9510101010101
tic-tac-toe (1) 0.41922178864716
anneal (157) 0.35064082373244
TEST5e105f0c38-pandas_testing_dataset (3) -0.25
anneal (102) 0.6191022730108
anneal (262) 0.6191022730108
anneal (170) 0.6191022730108
TEST6ba4d7daec-XOR (1)
anneal (232) 0.35064082373244
anneal (237) 0.6191022730108
anneal (241) 0.6191022730108
anneal (221) 0.6191022730108
TESTc8f1eae46a-XOR (1)
TEST44aee7d221-ModifiedWeather (1)
TEST495d1e52d8-pandas_testing_dataset (2)
TEST2c4f0b6c26-pandas_testing_dataset (1)
autoMpg (1)
anneal (193) 0.6191022730108
anneal (219) 0.6191022730108
TEST2c4f0b6c26-pandas_testing_dataset (3) -0.25
TEST9103715299-pandas_testing_dataset (3) -0.25
anneal (208) 0.6191022730108
anneal (255) 0.6191022730108
anneal (203) 0.35064082373244
anneal (253) 0.6191022730108
anneal (270) 0.6191022730108
anneal (63) 0.6191022730108
anneal (210) 0.6191022730108
TEST388a9defc1-pandas_testing_dataset (3)
anneal (268) 0.6191022730108
anneal (271) 0.6191022730108
TESTe74389f4b6-XOR (1)
anneal (222) 0.6191022730108
anneal (195) 0.6191022730108
anneal (250) 0.6191022730108
anneal (205) 0.6191022730108
anneal (128) 0.6191022730108
anneal (233) 0.6191022730108
anneal (82) 0.6191022730108
TESTf738f069ca-pandas_testing_dataset (4)
anneal (225) 0.6191022730108
TESTdd0a5ebb6e-pandas_testing_dataset (4)
anneal (184) 0.6191022730108
anneal (68) 0.6191022730108
anneal (236) 0.6191022730108
anneal (186) 0.6191022730108
anneal (191) 0.6191022730108
anneal (166) 0.6191022730108
anneal (247) 0.6191022730108
anneal (248) 0.6191022730108
anneal (269) 0.6191022730108
anneal (11) 0.6191022730108
anneal (92) 0.6191022730108
anneal (267) 0.6191022730108
anneal (226) 0.35064082373244
anneal (257) 0.6191022730108
anneal (190) 0.6191022730108
anneal (263) 0.6191022730108
TESTdd2273bbad-pandas_testing_dataset (3) -0.25
TESTbdcda46197-pandas_testing_dataset (3) -0.25
quake (1)
TESTcbac53b2c5-XOR (1)
anneal (57) 0.6191022730108
TESTb7d5691345-XOR (1)
anneal (192) 0.6191022730108
anneal (230) 0.6191022730108
anneal (202) 0.35064082373244
anneal (251) 0.6191022730108
anneal (206) 0.6191022730108
anneal (139) 0.6191022730108
anneal (188) 0.6191022730108
TEST5037c378b1-pandas_testing_dataset (3) -0.25
TEST388a9defc1-pandas_testing_dataset (1)
anneal (152) 0.6191022730108
TEST9b06efad03-pandas_testing_dataset (3) -0.25
anneal (266) 0.6191022730108
anneal (187) 0.6191022730108
anneal (200) 0.6191022730108
anneal (254) 0.6191022730108
anneal (242) 0.35064082373244
anneal (240) 0.6191022730108
anneal (213) 0.6191022730108
anneal (183) 0.6191022730108
Click_prediction_small (5) 0.017862321654848
anneal (156) 0.6191022730108
TEST2f9e899c65-XOR (1)
anneal (246) 0.6191022730108
anneal (151) 0.6191022730108
anneal (52) 0.35064082373244
anneal (109) 0.6191022730108
anneal (215) 0.6191022730108
anneal (261) 0.6191022730108
anneal (168) 0.6191022730108
TEST3620d8fbd0-XOR (1)
anneal (258) 0.35064082373244
irish (1) 1
anneal (239) 0.35064082373244
anneal (252) 0.35064082373244
anneal (81) 0.35064082373244
anneal (244) 0.6191022730108
TEST104676cb6a-pandas_testing_dataset (2)
TESTc16ac7f367-pandas_testing_dataset (4)
TESTfab02098c0-pandas_testing_dataset (1)
anneal (275) 0.6191022730108
anneal (274) 0.35064082373244
anneal (312) 0.6191022730108
anneal (280) 0.6191022730108
anneal (286) 0.6191022730108
anneal (301) 0.6191022730108
anneal (282) 0.35064082373244
anneal (284) 0.6191022730108
anneal (273) 0.6191022730108
anneal (278) 0.6191022730108
anneal (333) 0.6191022730108
anneal (318) 0.35064082373244
anneal (359) 0.35064082373244
anneal (356) 0.6191022730108
anneal (385) 0.6191022730108
anneal (379) 0.6191022730108
anneal (298) 0.6191022730108
anneal (311) 0.6191022730108
anneal (320) 0.6191022730108
anneal (362) 0.6191022730108
anneal (355) 0.6191022730108
anneal (357) 0.35064082373244
anneal (337) 0.35064082373244
anneal (381) 0.35064082373244
anneal (335) 0.35064082373244
anneal (336) 0.6191022730108
anneal (384) 0.6191022730108
TESTfa348335d3-pandas_testing_dataset (3) -0.25
anneal (332) 0.6191022730108
anneal (346) 0.6191022730108
anneal (388) 0.6191022730108
anneal (305) 0.6191022730108
anneal (343) 0.6191022730108
anneal (288) 0.6191022730108
TEST845a642017-pandas_testing_dataset (3) -0.25
anneal (340) 0.6191022730108
anneal (374) 0.6191022730108
anneal (372) 0.6191022730108
anneal (371) 0.35064082373244
TEST5b30e679ed-pandas_testing_dataset (1)
anneal (383) 0.6191022730108
anneal (358) 0.6191022730108
anneal (395) 0.6191022730108
TEST6f97db9a3e-ModifiedWeather (1)
anneal (290) 0.6191022730108
anneal (324) 0.6191022730108
TEST5b30e679ed-pandas_testing_dataset (4)
TEST7dc1ecdb15-XOR (1)
anneal (354) 0.6191022730108
anneal (303) 0.6191022730108
anneal (319) 0.6191022730108
anneal (334) 0.6191022730108
anneal (405) 0.6191022730108
anneal (404) 0.6191022730108
anneal (308) 0.6191022730108
anneal (398) 0.6191022730108
anneal (291) 0.6191022730108
TEST6dc49fc872-pandas_testing_dataset (2)
anneal (402) 0.6191022730108
TESTb410f44fd0-pandas_testing_dataset (3)
anneal (317) 0.35064082373244
TESTb410f44fd0-pandas_testing_dataset (1)
TESTc5c73d43cf-XOR (1)
anneal (360) 0.6191022730108
anneal (403) 0.6191022730108
anneal (277) 0.6191022730108
anneal (407) 0.6191022730108
TEST5b30e679ed-pandas_testing_dataset (3)
anneal (410) 0.6191022730108
anneal (361) 0.6191022730108
TEST9161e0d711-pandas_testing_dataset (3) -0.25
TESTeedf1c617e-pandas_testing_dataset (3)
TEST58188dfbc6-pandas_testing_dataset (3)
TESTa5e33d6c29-pandas_testing_dataset (1)
TESTb410f44fd0-pandas_testing_dataset (2)
TEST6dc49fc872-pandas_testing_dataset (1)
TESTb918af0e2d-pandas_testing_dataset (4)
anneal (409) 0.6191022730108
anneal (347) 0.6191022730108
anneal (295) 0.6191022730108
anneal (348) 0.6191022730108
TEST0938a9daba-pandas_testing_dataset (3) -0.25
anneal (287) 0.6191022730108
TESTca5628eaef-pandas_testing_dataset (1)
anneal (314) 0.6191022730108
anneal (408) 0.6191022730108
TESTc9ed3920cd-XOR (1)
TESTeedf1c617e-pandas_testing_dataset (2)
TESTa5e33d6c29-pandas_testing_dataset (3) -0.25
TESTa10ede6728-XOR (1)
anneal (342) 0.6191022730108
TESTeedf1c617e-pandas_testing_dataset (4)
TESTb918af0e2d-pandas_testing_dataset (3)
anneal (422) 0.6191022730108
anneal (296) 0.6191022730108
anneal (276) 0.6191022730108
anneal (418) 0.6191022730108
anneal (304) 0.6191022730108
anneal (399) 0.6191022730108
TESTa5e33d6c29-pandas_testing_dataset (2)
anneal (390) 0.6191022730108
TEST10c25a3b38-pandas_testing_dataset (3) -0.25
anneal (424) 0.6191022730108
TESTed776f0840-pandas_testing_dataset (3) -0.25
anneal (412) 0.6191022730108
anneal (417) 0.35064082373244
anneal (283) 0.6191022730108
anneal (425) 0.6191022730108
anneal (400) 0.6191022730108
TESTed7333f3d2-ModifiedWeather (1)
anneal (420) 0.6191022730108
anneal (413) 0.6191022730108
anneal (423) 0.35064082373244
TESTf9ea71bde7-XOR (1)
anneal (325) 0.6191022730108
TEST5b30e679ed-pandas_testing_dataset (2)
anneal (434) 0.6191022730108
anneal (365) 0.6191022730108
anneal (426) 0.6191022730108
TEST855da0f4bb-ModifiedWeather (1)
TEST84e82f2c56-ModifiedWeather (1)
TESTb9093fb3b4-ModifiedWeather (1)
TEST178704e3b7-ModifiedWeather (1)
anneal (393) 0.6191022730108
TESTd655778eb6-ModifiedWeather (1)
anneal (438) 0.6191022730108
TEST17eccd9837-pandas_testing_dataset (3)
anneal (433) 0.6191022730108
TESTb918af0e2d-pandas_testing_dataset (2)
TESTca5628eaef-pandas_testing_dataset (2)
TESTf2a16c917e-XOR (1)
anneal (429) 0.6191022730108
anneal (443) 0.6191022730108