Measure

Quartile3MutualInformation

Third quartile of mutual information between the nominal attributes and the target attribute.

Value per dataset

credit-g (1) 0.02650410754481
pc1 (1)
first-order-theorem-proving (1)
hill-valley (1)
mushroom (1) 0.27510225484919
pc3 (1)
steel-plates-fault (1)
madelon (1)
phoneme (1)
vineyard (1)
isolet (1)
synthetic_control (1)
abalone (1) 0.23398435498208
mfeat-fourier (1)
mozilla4 (1)
cylinder-bands (2) 0.09383719225758
spambase (1)
banknote-authentication (1)
MiceProtein (1) 2.49463092376
adult (2) 0.14076964990508
MagicTelescope (1)
pbc (1)
fourclass_scale (1)
mfeat-morphological (1)
bolts (1)
pharynx (1)
diabetes_numeric (1)
pendigits (1)
anneal (7) 0.020646588107192
semeion (1)
satimage (1)
vehicle (1)
GesturePhaseSegmentationProcessed (1)
wilt (1)
electricity (1) 0.00250816956442
breast-w (1)
musk (1) 0.62009855901309
anneal (6) 0.020646588107192
profb (1) 0.034277297244758
jm1 (1)
anneal (3) 0.020646588107192
anneal (17) 0.020646588107192
autoPrice (1)
cleveland (1)
cardiotocography (1)
scene (1) 0.06025094212702
ilpd (1) 0.00477057255121
mfeat-zernike (1)
wisconsin (1)
anneal (15) 0.020646588107192
anneal (22) 0.020646588107192
car (1) 0.2302933116435
cnae-9 (1)
gina_agnostic (1)
kin8nm (1)
iris (2)
delta_elevators (1)
qsar-biodeg (1)
monks-problems-1 (1) 0.079132328414895
anneal (14) 0.020646588107192
texture (1)
lowbwt (1)
anneal (2) 0.020646588107192
Australian (3)
eucalyptus (1) 0.42596498377969
one-hundred-plants-shape (1)
analcatdata_dmft (1) 0.060330410156547
anneal (34) 0.020646588107192
anneal (29) 0.020646588107192
anneal (23) 0.020646588107192
pol (1)
mbagrade (1)
Amazon_employee_access (1) 0.10347837740712
letter (1)
one-hundred-plants-texture (1)
TEST1c848ab209-pandas_testing_dataset (3)
PhishingWebsites (1) 0.039756847904743
detroit (1)
sylva_agnostic (1)
anneal (28) 0.020646588107192
anneal (53) 0.020646588107192
tamilnadu-electricity (1) 4.2454309656967
iris-challenge (1)
cholesterol (1)
anneal (41) 0.020646588107192
anneal (10) 0.020646588107192
anneal (35) 0.020646588107192
wdbc (1)
anneal (43) 0.020646588107192
anneal (60) 0.020646588107192
TESTebb33ef4fa-XOR (1)
anneal (44) 0.020646588107192
wall-robot-navigation (1)
anneal (25) 0.020646588107192
TEST29f9ae6987-XOR (1)
har (1)
Bioresponse (1)
artificial-characters (1)
anneal (51) 0.020646588107192
TEST0a3f20a3a8-pandas_testing_dataset (3)
anneal (37) 0.020646588107192
anneal (61) 0.020646588107192
anneal (8) 0.020646588107192
vowel (2) 0
nomao (1) 0.08081940797388
anneal (5) 0.020646588107192
anneal (87) 0.020646588107192
TESTc16ac7f367-pandas_testing_dataset (3)
anneal (62) 0.020646588107192
anneal (73) 0.020646588107192
anneal (65) 0.020646588107192
pc4 (1)
TEST861d5ffaea-XOR (1)
anneal (77) 0.020646588107192
anneal (59) 0.020646588107192
anneal (74) 0.020646588107192
gas-drift (1)
anneal (4) 0.020646588107192
LED-display-domain-7digit (1)
anneal (32) 0.020646588107192
anneal (9) 0.020646588107192
optdigits (1)
anneal (13) 0.020646588107192
mfeat-karhunen (1)
anneal (39) 0.020646588107192
anneal (55) 0.020646588107192
anneal (90) 0.020646588107192
JapaneseVowels (1)
anneal (38) 0.020646588107192
anneal (36) 0.020646588107192
anneal (71) 0.020646588107192
anneal (88) 0.020646588107192
anneal (19) 0.020646588107192
anneal (49) 0.020646588107192
anneal (93) 0.020646588107192
anneal (26) 0.020646588107192
anneal (72) 0.020646588107192
anneal (18) 0.020646588107192
anneal (33) 0.020646588107192
anneal (69) 0.020646588107192
anneal (56) 0.020646588107192
anneal (126) 0.020646588107192
sleep (1)
anneal (89) 0.020646588107192
anneal (42) 0.020646588107192
anneal (100) 0.020646588107192
monks-problems-2 (1) 0.0059858732349625
anneal (115) 0.020646588107192
mfeat-factors (1)
anneal (91) 0.020646588107192
anneal (119) 0.020646588107192
TEST9103715299-pandas_testing_dataset (2)
sick (1) 0.0033491752406775
anneal (111) 0.020646588107192
anneal (40) 0.020646588107192
anneal (132) 0.020646588107192
anneal (103) 0.020646588107192
anneal (133) 0.020646588107192
TEST1c3062c843-pandas_testing_dataset (3)
anneal (67) 0.020646588107192
anneal (95) 0.020646588107192
anneal (76) 0.020646588107192
anneal (144) 0.020646588107192
fruitfly (1)
anneal (16) 0.020646588107192
anneal (27) 0.020646588107192
TESTfab02098c0-pandas_testing_dataset (2)
splice (1) 0.06388006173431
anneal (147) 0.020646588107192
one-hundred-plants-margin (1)
anneal (80) 0.020646588107192
anneal (104) 0.020646588107192
TEST44eb4b8b3f-XOR (1)
anneal (97) 0.020646588107192
anneal (70) 0.020646588107192
anneal (125) 0.020646588107192
anneal (113) 0.020646588107192
ozone-level-8hr (1)
TESTb5b3545d7e-pandas_testing_dataset (3)
anneal (24) 0.020646588107192
TEST00a13efce9-pandas_testing_dataset (1)
triazines (1)
anneal (107) 0.020646588107192
anneal (173) 0.020646588107192
TESTfab02098c0-pandas_testing_dataset (3)
anneal (99) 0.020646588107192
anneal (176) 0.020646588107192
dresses-sales (2) 0.04339185153236
TESTa86b01f9a8-pandas_testing_dataset (3)
anneal (159) 0.020646588107192
anneal (158) 0.020646588107192
anneal (165) 0.020646588107192
TEST495d1e52d8-pandas_testing_dataset (1) 0.97095059445467
climate-model-simulation-crashes (1)
anneal (94) 0.020646588107192
anneal (146) 0.020646588107192
anneal (181) 0.020646588107192
anneal (178) 0.020646588107192
anneal (129) 0.020646588107192
anneal (131) 0.020646588107192
anneal (163) 0.020646588107192
TEST9b06efad03-pandas_testing_dataset (1) 0.97095059445467
TEST6abd679a4e-ModifiedWeather (1) 0.24674981977444
TEST388a9defc1-pandas_testing_dataset (4)
TEST84e16ea643-UploadTestWithURL (1)
mfeat-pixel (1) 0.41642533028319
anneal (105) 0.020646588107192
micro-mass (2)
anneal (148) 0.020646588107192
TESTd4a9ca9c2d-pandas_testing_dataset (3)
cmc (1) 0.04013859922938
TESTca4a634324-ModifiedWeather (1) 0.24674981977444
anneal (160) 0.020646588107192
anneal (136) 0.020646588107192
anneal (140) 0.020646588107192
anneal (121) 0.020646588107192
TEST5e105f0c38-pandas_testing_dataset (1) 0.97095059445467
anneal (164) 0.020646588107192
TEST78cf97e1d2-pandas_testing_dataset (3)
anneal (182) 0.020646588107192
TESTd746086797-XOR (1)
anneal (75) 0.020646588107192
anneal (112) 0.020646588107192
anneal (47) 0.020646588107192
anneal (153) 0.020646588107192
TEST9d1aa3a77e-XOR (1)
TEST495d1e52d8-pandas_testing_dataset (3)
TESTe3d8d93ab0-pandas_testing_dataset (3)
TEST0a395eb24e-XOR (1)
TEST5e105f0c38-pandas_testing_dataset (2)
cjs (3) 2.5203815255268
anneal (123) 0.020646588107192
TEST104676cb6a-pandas_testing_dataset (3)
anneal (201) 0.020646588107192
TEST2c4f0b6c26-pandas_testing_dataset (2)
anneal (155) 0.020646588107192
anneal (194) 0.020646588107192
anneal (167) 0.020646588107192
anneal (171) 0.020646588107192
anneal (162) 0.020646588107192
anneal (135) 0.020646588107192
anneal (223) 0.020646588107192
TESTdd0a5ebb6e-pandas_testing_dataset (2)
anneal (106) 0.020646588107192
TESTfab02098c0-pandas_testing_dataset (4)
anneal (161) 0.020646588107192
anneal (143) 0.020646588107192
anneal (197) 0.020646588107192
anneal (199) 0.020646588107192
anneal (137) 0.020646588107192
anneal (154) 0.020646588107192
anneal (134) 0.020646588107192
auto_price (1)
TEST104676cb6a-pandas_testing_dataset (4)
TESTd66c82a86b-ModifiedWeather (1) 0.24674981977444
TEST9b06efad03-pandas_testing_dataset (2)
kc1 (1)
anneal (228) 0.020646588107192
TEST0be3452fe0-pandas_testing_dataset (2)
anneal (212) 0.020646588107192
anneal (204) 0.020646588107192
anneal (79) 0.020646588107192
anneal (145) 0.020646588107192
anneal (229) 0.020646588107192
TESTdd0a5ebb6e-pandas_testing_dataset (1)
TEST388a9defc1-pandas_testing_dataset (2)
TEST104676cb6a-pandas_testing_dataset (1)
anneal (218) 0.020646588107192
TESTdd0a5ebb6e-pandas_testing_dataset (3)
anneal (198) 0.020646588107192
TEST0be3452fe0-pandas_testing_dataset (3)
anneal (98) 0.020646588107192
anneal (12) 0.020646588107192
anneal (214) 0.020646588107192
anneal (120) 0.020646588107192
anneal (209) 0.020646588107192
anneal (256) 0.020646588107192
anneal (110) 0.020646588107192
segment (1)
tic-tac-toe (1) 0.01355667250927
anneal (157) 0.020646588107192
TEST5e105f0c38-pandas_testing_dataset (3)
anneal (102) 0.020646588107192
anneal (262) 0.020646588107192
anneal (170) 0.020646588107192
TEST6ba4d7daec-XOR (1)
anneal (232) 0.020646588107192
anneal (237) 0.020646588107192
anneal (241) 0.020646588107192
anneal (221) 0.020646588107192
TESTc8f1eae46a-XOR (1)
TEST44aee7d221-ModifiedWeather (1) 0.24674981977444
TEST495d1e52d8-pandas_testing_dataset (2)
TEST2c4f0b6c26-pandas_testing_dataset (1) 0.97095059445467
autoMpg (1)
anneal (193) 0.020646588107192
anneal (219) 0.020646588107192
TEST2c4f0b6c26-pandas_testing_dataset (3)
TEST9103715299-pandas_testing_dataset (3)
anneal (208) 0.020646588107192
anneal (255) 0.020646588107192
anneal (203) 0.020646588107192
anneal (253) 0.020646588107192
anneal (270) 0.020646588107192
anneal (63) 0.020646588107192
anneal (210) 0.020646588107192
TEST388a9defc1-pandas_testing_dataset (3)
anneal (268) 0.020646588107192
anneal (271) 0.020646588107192
TESTe74389f4b6-XOR (1)
anneal (222) 0.020646588107192
anneal (195) 0.020646588107192
anneal (250) 0.020646588107192
anneal (205) 0.020646588107192
anneal (128) 0.020646588107192
anneal (233) 0.020646588107192
anneal (82) 0.020646588107192
TESTf738f069ca-pandas_testing_dataset (4)
anneal (225) 0.020646588107192
TESTdd0a5ebb6e-pandas_testing_dataset (4)
anneal (184) 0.020646588107192
anneal (68) 0.020646588107192
anneal (236) 0.020646588107192
anneal (186) 0.020646588107192
anneal (191) 0.020646588107192
anneal (166) 0.020646588107192
anneal (247) 0.020646588107192
anneal (248) 0.020646588107192
anneal (269) 0.020646588107192
anneal (11) 0.020646588107192
anneal (92) 0.020646588107192
anneal (267) 0.020646588107192
anneal (226) 0.020646588107192
anneal (257) 0.020646588107192
anneal (190) 0.020646588107192
anneal (263) 0.020646588107192
TESTdd2273bbad-pandas_testing_dataset (3)
TESTbdcda46197-pandas_testing_dataset (3)
quake (1)
TESTcbac53b2c5-XOR (1)
anneal (57) 0.020646588107192
TESTb7d5691345-XOR (1)
anneal (192) 0.020646588107192
anneal (230) 0.020646588107192
anneal (202) 0.020646588107192
anneal (251) 0.020646588107192
anneal (206) 0.020646588107192
anneal (139) 0.020646588107192
anneal (188) 0.020646588107192
TEST5037c378b1-pandas_testing_dataset (3)
TEST388a9defc1-pandas_testing_dataset (1)
anneal (152) 0.020646588107192
TEST9b06efad03-pandas_testing_dataset (3)
anneal (266) 0.020646588107192
anneal (187) 0.020646588107192
anneal (200) 0.020646588107192
anneal (254) 0.020646588107192
anneal (242) 0.020646588107192
anneal (240) 0.020646588107192
anneal (213) 0.020646588107192
anneal (183) 0.020646588107192
Click_prediction_small (5)
anneal (156) 0.020646588107192
TEST2f9e899c65-XOR (1)
anneal (246) 0.020646588107192
anneal (151) 0.020646588107192
anneal (52) 0.020646588107192
anneal (109) 0.020646588107192
anneal (215) 0.020646588107192
anneal (261) 0.020646588107192
anneal (168) 0.020646588107192
TEST3620d8fbd0-XOR (1)
anneal (258) 0.020646588107192
irish (1) 0.93376414483082
anneal (239) 0.020646588107192
anneal (252) 0.020646588107192
anneal (81) 0.020646588107192
anneal (244) 0.020646588107192
TEST104676cb6a-pandas_testing_dataset (2)
TESTc16ac7f367-pandas_testing_dataset (4)
TESTfab02098c0-pandas_testing_dataset (1)
anneal (275) 0.020646588107192
anneal (274) 0.020646588107192
anneal (312) 0.020646588107192
anneal (280) 0.020646588107192
anneal (286) 0.020646588107192
anneal (301) 0.020646588107192
anneal (282) 0.020646588107192
anneal (284) 0.020646588107192
anneal (273) 0.020646588107192
anneal (278) 0.020646588107192
anneal (333) 0.020646588107192
anneal (318) 0.020646588107192
anneal (359) 0.020646588107192
anneal (356) 0.020646588107192
anneal (385) 0.020646588107192
anneal (379) 0.020646588107192
anneal (298) 0.020646588107192
anneal (311) 0.020646588107192
anneal (320) 0.020646588107192
anneal (362) 0.020646588107192
anneal (355) 0.020646588107192
anneal (357) 0.020646588107192
anneal (337) 0.020646588107192
anneal (381) 0.020646588107192
anneal (335) 0.020646588107192
anneal (336) 0.020646588107192
anneal (384) 0.020646588107192
TESTfa348335d3-pandas_testing_dataset (3)
anneal (332) 0.020646588107192
anneal (346) 0.020646588107192
anneal (388) 0.020646588107192
anneal (305) 0.020646588107192
anneal (343) 0.020646588107192
anneal (288) 0.020646588107192
TEST845a642017-pandas_testing_dataset (3)
anneal (340) 0.020646588107192
anneal (374) 0.020646588107192
anneal (372) 0.020646588107192
anneal (371) 0.020646588107192
TEST5b30e679ed-pandas_testing_dataset (1)
anneal (383) 0.020646588107192
anneal (358) 0.020646588107192
anneal (395) 0.020646588107192
TEST6f97db9a3e-ModifiedWeather (1) 0.24674981977444
anneal (290) 0.020646588107192
anneal (324) 0.020646588107192
TEST5b30e679ed-pandas_testing_dataset (4)
TEST7dc1ecdb15-XOR (1)
anneal (354) 0.020646588107192
anneal (303) 0.020646588107192
anneal (319) 0.020646588107192
anneal (334) 0.020646588107192
anneal (405) 0.020646588107192
anneal (404) 0.020646588107192
anneal (308) 0.020646588107192
anneal (398) 0.020646588107192
anneal (291) 0.020646588107192
TEST6dc49fc872-pandas_testing_dataset (2)
anneal (402) 0.020646588107192
TESTb410f44fd0-pandas_testing_dataset (3)
anneal (317) 0.020646588107192
TESTb410f44fd0-pandas_testing_dataset (1)
TESTc5c73d43cf-XOR (1)
anneal (360) 0.020646588107192
anneal (403) 0.020646588107192
anneal (277) 0.020646588107192
anneal (407) 0.020646588107192
TEST5b30e679ed-pandas_testing_dataset (3)
anneal (410) 0.020646588107192
anneal (361) 0.020646588107192
TEST9161e0d711-pandas_testing_dataset (3)
TESTeedf1c617e-pandas_testing_dataset (3)
TEST58188dfbc6-pandas_testing_dataset (3)
TESTa5e33d6c29-pandas_testing_dataset (1) 0.97095059445467
TESTb410f44fd0-pandas_testing_dataset (2)
TEST6dc49fc872-pandas_testing_dataset (1) 0.97095059445467
TESTb918af0e2d-pandas_testing_dataset (4)
anneal (409) 0.020646588107192
anneal (347) 0.020646588107192
anneal (295) 0.020646588107192
anneal (348) 0.020646588107192
TEST0938a9daba-pandas_testing_dataset (3)
anneal (287) 0.020646588107192
TESTca5628eaef-pandas_testing_dataset (1) 0.97095059445467
anneal (314) 0.020646588107192
anneal (408) 0.020646588107192
TESTc9ed3920cd-XOR (1)
TESTeedf1c617e-pandas_testing_dataset (2)
TESTa5e33d6c29-pandas_testing_dataset (3)
TESTa10ede6728-XOR (1)
anneal (342) 0.020646588107192
TESTeedf1c617e-pandas_testing_dataset (4)
TESTb918af0e2d-pandas_testing_dataset (3)
anneal (422) 0.020646588107192
anneal (296) 0.020646588107192
anneal (276) 0.020646588107192
anneal (418) 0.020646588107192
anneal (304) 0.020646588107192
anneal (399) 0.020646588107192
TESTa5e33d6c29-pandas_testing_dataset (2)
anneal (390) 0.020646588107192
TEST10c25a3b38-pandas_testing_dataset (3)
anneal (424) 0.020646588107192
TESTed776f0840-pandas_testing_dataset (3)
anneal (412) 0.020646588107192
anneal (417) 0.020646588107192
anneal (283) 0.020646588107192
anneal (425) 0.020646588107192
anneal (400) 0.020646588107192
TESTed7333f3d2-ModifiedWeather (1) 0.24674981977444
anneal (420) 0.020646588107192
anneal (413) 0.020646588107192
anneal (423) 0.020646588107192
TESTf9ea71bde7-XOR (1)
anneal (325) 0.020646588107192
TEST5b30e679ed-pandas_testing_dataset (2)
anneal (434) 0.020646588107192
anneal (365) 0.020646588107192
anneal (426) 0.020646588107192
TEST855da0f4bb-ModifiedWeather (1) 0.24674981977444
TEST84e82f2c56-ModifiedWeather (1) 0.24674981977444
TESTb9093fb3b4-ModifiedWeather (1) 0.24674981977444
TEST178704e3b7-ModifiedWeather (1) 0.24674981977444
anneal (393) 0.020646588107192
TESTd655778eb6-ModifiedWeather (1) 0.24674981977444
anneal (438) 0.020646588107192
TEST17eccd9837-pandas_testing_dataset (3)
anneal (433) 0.020646588107192
TESTb918af0e2d-pandas_testing_dataset (2)
TESTca5628eaef-pandas_testing_dataset (2)
TESTf2a16c917e-XOR (1)
anneal (429) 0.020646588107192
anneal (443) 0.020646588107192
anneal (401) 0.020646588107192
anneal (363) 0.020646588107192
anneal (344) 0.020646588107192
anneal (380) 0.020646588107192
TEST6dc49fc872-pandas_testing_dataset (3)