Measure

MaxMeansOfNumericAtts

Maximum of means among attributes of the numeric type.

Value per dataset

credit-g (1) 3271.258
pc1 (1) 28822.882380523
first-order-theorem-proving (1) 0.052954623733246
hill-valley (1) 8315.0124422442
mushroom (1)
pc3 (1) 34072.822693538
steel-plates-fault (1) 1650738.7053065
madelon (1) 517.74884615385
phoneme (1) 6.1065877123851E-9
vineyard (1) 18.086538461538
isolet (1) 0.81186135693215
synthetic_control (1) 32.229628666667
abalone (1) 0.82874215944458
mfeat-fourier (1) 0.37731057175
mozilla4 (1) 676568.20154391
cylinder-bands (2) 37287.531481481
spambase (1) 283.28928493806
banknote-authentication (1) 1.9223531209913
MiceProtein (1) 3.8439339462999
adult (2) 189664.13459727
MagicTelescope (1) 193.81802646688
pbc (1) 1982.6557692308
fourclass_scale (1) 0.011664653132251
mfeat-morphological (1) 6155.2004351566
bolts (1) 36.287
pharynx (1) 558.7282051282
diabetes_numeric (1) 9.0325581395349
pendigits (1) 85.120269286754
anneal (7) 1263.0946547884
semeion (1) 0.646578782172
satimage (1) -0.00012632970451019
vehicle (1) 439.91134751773
GesturePhaseSegmentationProcessed (1) 0.011116396597792
wilt (1) 525.80030076793
electricity (1) 0.50052639091189
breast-w (1) 4.4177396280401
musk (1) 201.76023037284
anneal (6) 1263.0946547884
profb (1) 90
jm1 (1) 36836.365343133
anneal (3) 1263.0946547884
anneal (17) 1263.0946547884
autoPrice (1) 11445.729559748
cleveland (1) 246.69306930693
cardiotocography (1) 1702.8772342427
scene (1) 0.721717304113
ilpd (1) 290.57632933105
mfeat-zernike (1) 508.90257163362
wisconsin (1) 1401.7567010309
anneal (15) 1263.0946547884
anneal (22) 1263.0946547884
car (1)
cnae-9 (1) 0.43703703703704
gina_agnostic (1) 140.39590542099
kin8nm (1) 0.71428349235742
iris (2) 5.8433333333333
delta_elevators (1) 0.0016319218241042
qsar-biodeg (1) 37.055639810427
monks-problems-1 (1)
anneal (14) 1263.0946547884
texture (1) -0.24215909090909
lowbwt (1) 2944.6560846561
anneal (2) 1263.0946547884
Australian (3) 0.35652173913043
eucalyptus (1) 2054.7393689986
one-hundred-plants-shape (1) 0.000736605625
analcatdata_dmft (1)
anneal (34) 1263.0946547884
anneal (29) 1263.0946547884
anneal (23) 1263.0946547884
pol (1) 110
mbagrade (1) 574.75409836066
Amazon_employee_access (1)
letter (1) 8.33885
one-hundred-plants-texture (1) 0.036816908692933
TEST1c848ab209-pandas_testing_dataset (3)
PhishingWebsites (1)
detroit (1) 452507.53846154
sylva_agnostic (1) 879.13449114276
anneal (28) 1263.0946547884
anneal (53) 1263.0946547884
tamilnadu-electricity (1) 0.50098261381359
iris-challenge (1) 5.8433333333333
cholesterol (1) 246.69306930693
anneal (41) 1263.0946547884
anneal (10) 1263.0946547884
anneal (35) 1263.0946547884
wdbc (1) 880.58312829525
anneal (43) 1263.0946547884
anneal (60) 1263.0946547884
TESTebb33ef4fa-XOR (1) 0.5
anneal (44) 1263.0946547884
wall-robot-navigation (1) 3.3511130865103
anneal (25) 1263.0946547884
TEST29f9ae6987-XOR (1) 0.5
har (1) 0.83027549567919
Bioresponse (1) 0.97416709584804
artificial-characters (1) 40.463523194363
anneal (51) 1263.0946547884
TEST0a3f20a3a8-pandas_testing_dataset (3)
anneal (37) 1263.0946547884
anneal (61) 1263.0946547884
anneal (8) 1263.0946547884
vowel (2) 1.8817636363636
nomao (1) 0.99975838021181
anneal (5) 1263.0946547884
anneal (87) 1263.0946547884
TESTc16ac7f367-pandas_testing_dataset (3) 0.4
anneal (62) 1263.0946547884
anneal (73) 1263.0946547884
anneal (65) 1263.0946547884
pc4 (1) 19505.519540466
TEST861d5ffaea-XOR (1) 0.5
anneal (77) 1263.0946547884
anneal (59) 1263.0946547884
anneal (74) 1263.0946547884
gas-drift (1) 57340.10458532
anneal (4) 1263.0946547884
LED-display-domain-7digit (1) 0.818
anneal (32) 1263.0946547884
anneal (9) 1263.0946547884
optdigits (1) 11.989679715302
anneal (13) 1263.0946547884
mfeat-karhunen (1) 2.89117112429
anneal (39) 1263.0946547884
anneal (55) 1263.0946547884
anneal (90) 1263.0946547884
JapaneseVowels (1) 20.36432085132
anneal (38) 1263.0946547884
anneal (36) 1263.0946547884
anneal (71) 1263.0946547884
anneal (88) 1263.0946547884
anneal (19) 1263.0946547884
anneal (49) 1263.0946547884
anneal (93) 1263.0946547884
anneal (26) 1263.0946547884
anneal (72) 1263.0946547884
anneal (18) 1263.0946547884
anneal (33) 1263.0946547884
anneal (69) 1263.0946547884
anneal (56) 1263.0946547884
anneal (126) 1263.0946547884
sleep (1) 283.13419354839
anneal (89) 1263.0946547884
anneal (42) 1263.0946547884
anneal (100) 1263.0946547884
monks-problems-2 (1)
anneal (115) 1263.0946547884
mfeat-factors (1) 1141.5705
anneal (91) 1263.0946547884
anneal (119) 1263.0946547884
TEST9103715299-pandas_testing_dataset (2) 0.75
sick (1) 110.46964865663
anneal (111) 1263.0946547884
anneal (40) 1263.0946547884
anneal (132) 1263.0946547884
anneal (103) 1263.0946547884
anneal (133) 1263.0946547884
TEST1c3062c843-pandas_testing_dataset (3)
anneal (67) 1263.0946547884
anneal (95) 1263.0946547884
anneal (76) 1263.0946547884
anneal (144) 1263.0946547884
fruitfly (1) 57.44
anneal (16) 1263.0946547884
anneal (27) 1263.0946547884
TESTfab02098c0-pandas_testing_dataset (2) 3
splice (1)
anneal (147) 1263.0946547884
one-hundred-plants-margin (1) 0.041258590625
anneal (80) 1263.0946547884
anneal (104) 1263.0946547884
TEST44eb4b8b3f-XOR (1) 0.5
anneal (97) 1263.0946547884
anneal (70) 1263.0946547884
anneal (125) 1263.0946547884
anneal (113) 1263.0946547884
ozone-level-8hr (1) 10164.198441985
TESTb5b3545d7e-pandas_testing_dataset (3)
anneal (24) 1263.0946547884
TEST00a13efce9-pandas_testing_dataset (1) 3
triazines (1) 0.65187096774194
anneal (107) 1263.0946547884
anneal (173) 1263.0946547884
TESTfab02098c0-pandas_testing_dataset (3) 0.4
anneal (99) 1263.0946547884
anneal (176) 1263.0946547884
dresses-sales (2) 3.5286
TESTa86b01f9a8-pandas_testing_dataset (3)
anneal (159) 1263.0946547884
anneal (158) 1263.0946547884
anneal (165) 1263.0946547884
TEST495d1e52d8-pandas_testing_dataset (1) 87.4
climate-model-simulation-crashes (1) 270.5
anneal (94) 1263.0946547884
anneal (146) 1263.0946547884
anneal (181) 1263.0946547884
anneal (178) 1263.0946547884
anneal (129) 1263.0946547884
anneal (131) 1263.0946547884
anneal (163) 1263.0946547884
TEST9b06efad03-pandas_testing_dataset (1) 87.4
TEST6abd679a4e-ModifiedWeather (1) 81.642857142857
TEST388a9defc1-pandas_testing_dataset (4) 2
TEST84e16ea643-UploadTestWithURL (1) 5.8433333333333
mfeat-pixel (1)
anneal (105) 1263.0946547884
micro-mass (2) 2882892.5060603
anneal (148) 1263.0946547884
TESTd4a9ca9c2d-pandas_testing_dataset (3)
cmc (1) 32.538357094365
TESTca4a634324-ModifiedWeather (1) 81.642857142857
anneal (160) 1263.0946547884
anneal (136) 1263.0946547884
anneal (140) 1263.0946547884
anneal (121) 1263.0946547884
TEST5e105f0c38-pandas_testing_dataset (1) 87.4
anneal (164) 1263.0946547884
TEST78cf97e1d2-pandas_testing_dataset (3)
anneal (182) 1263.0946547884
TESTd746086797-XOR (1) 0.5
anneal (75) 1263.0946547884
anneal (112) 1263.0946547884
anneal (47) 1263.0946547884
anneal (153) 1263.0946547884
TEST9d1aa3a77e-XOR (1) 0.5
TEST495d1e52d8-pandas_testing_dataset (3)
TESTe3d8d93ab0-pandas_testing_dataset (3)
TEST0a395eb24e-XOR (1) 0.5
TEST5e105f0c38-pandas_testing_dataset (2) 0.75
cjs (3) 9.3338698140201
anneal (123) 1263.0946547884
TEST104676cb6a-pandas_testing_dataset (3) 0.4
anneal (201) 1263.0946547884
TEST2c4f0b6c26-pandas_testing_dataset (2) 0.75
anneal (155) 1263.0946547884
anneal (194) 1263.0946547884
anneal (167) 1263.0946547884
anneal (171) 1263.0946547884
anneal (162) 1263.0946547884
anneal (135) 1263.0946547884
anneal (223) 1263.0946547884
TESTdd0a5ebb6e-pandas_testing_dataset (2) 3
anneal (106) 1263.0946547884
TESTfab02098c0-pandas_testing_dataset (4) 2
anneal (161) 1263.0946547884
anneal (143) 1263.0946547884
anneal (197) 1263.0946547884
anneal (199) 1263.0946547884
anneal (137) 1263.0946547884
anneal (154) 1263.0946547884
anneal (134) 1263.0946547884
auto_price (1) 11445.729559748
TEST104676cb6a-pandas_testing_dataset (4) 2
TESTd66c82a86b-ModifiedWeather (1) 81.642857142857
TEST9b06efad03-pandas_testing_dataset (2) 0.75
kc1 (1) 5242.3862399242
anneal (228) 1263.0946547884
TEST0be3452fe0-pandas_testing_dataset (2) 0.75
anneal (212) 1263.0946547884
anneal (204) 1263.0946547884
anneal (79) 1263.0946547884
anneal (145) 1263.0946547884
anneal (229) 1263.0946547884
TESTdd0a5ebb6e-pandas_testing_dataset (1) 3
TEST388a9defc1-pandas_testing_dataset (2) 3
TEST104676cb6a-pandas_testing_dataset (1) 3
anneal (218) 1263.0946547884
TESTdd0a5ebb6e-pandas_testing_dataset (3) 0.4
anneal (198) 1263.0946547884
TEST0be3452fe0-pandas_testing_dataset (3)
anneal (98) 1263.0946547884
anneal (12) 1263.0946547884
anneal (214) 1263.0946547884
anneal (120) 1263.0946547884
anneal (209) 1263.0946547884
anneal (256) 1263.0946547884
anneal (110) 1263.0946547884
segment (1) 124.91385281385
tic-tac-toe (1)
anneal (157) 1263.0946547884
TEST5e105f0c38-pandas_testing_dataset (3)
anneal (102) 1263.0946547884
anneal (262) 1263.0946547884
anneal (170) 1263.0946547884
TEST6ba4d7daec-XOR (1) 0.5
anneal (232) 1263.0946547884
anneal (237) 1263.0946547884
anneal (241) 1263.0946547884
anneal (221) 1263.0946547884
TESTc8f1eae46a-XOR (1) 0.5
TEST44aee7d221-ModifiedWeather (1) 81.642857142857
TEST495d1e52d8-pandas_testing_dataset (2) 0.75
TEST2c4f0b6c26-pandas_testing_dataset (1) 87.4
autoMpg (1) 2970.4246231156
anneal (193) 1263.0946547884
anneal (219) 1263.0946547884
TEST2c4f0b6c26-pandas_testing_dataset (3)
TEST9103715299-pandas_testing_dataset (3)
anneal (208) 1263.0946547884
anneal (255) 1263.0946547884
anneal (203) 1263.0946547884
anneal (253) 1263.0946547884
anneal (270) 1263.0946547884
anneal (63) 1263.0946547884
anneal (210) 1263.0946547884
TEST388a9defc1-pandas_testing_dataset (3) 0.4
anneal (268) 1263.0946547884
anneal (271) 1263.0946547884
TESTe74389f4b6-XOR (1) 0.5
anneal (222) 1263.0946547884
anneal (195) 1263.0946547884
anneal (250) 1263.0946547884
anneal (205) 1263.0946547884
anneal (128) 1263.0946547884
anneal (233) 1263.0946547884
anneal (82) 1263.0946547884
TESTf738f069ca-pandas_testing_dataset (4) 2
anneal (225) 1263.0946547884
TESTdd0a5ebb6e-pandas_testing_dataset (4) 2
anneal (184) 1263.0946547884
anneal (68) 1263.0946547884
anneal (236) 1263.0946547884
anneal (186) 1263.0946547884
anneal (191) 1263.0946547884
anneal (166) 1263.0946547884
anneal (247) 1263.0946547884
anneal (248) 1263.0946547884
anneal (269) 1263.0946547884
anneal (11) 1263.0946547884
anneal (92) 1263.0946547884
anneal (267) 1263.0946547884
anneal (226) 1263.0946547884
anneal (257) 1263.0946547884
anneal (190) 1263.0946547884
anneal (263) 1263.0946547884
TESTdd2273bbad-pandas_testing_dataset (3)
TESTbdcda46197-pandas_testing_dataset (3)
quake (1) 74.359963269054
TESTcbac53b2c5-XOR (1) 0.5
anneal (57) 1263.0946547884
TESTb7d5691345-XOR (1) 0.5
anneal (192) 1263.0946547884
anneal (230) 1263.0946547884
anneal (202) 1263.0946547884
anneal (251) 1263.0946547884
anneal (206) 1263.0946547884
anneal (139) 1263.0946547884
anneal (188) 1263.0946547884
TEST5037c378b1-pandas_testing_dataset (3)
TEST388a9defc1-pandas_testing_dataset (1) 3
anneal (152) 1263.0946547884
TEST9b06efad03-pandas_testing_dataset (3)
anneal (266) 1263.0946547884
anneal (187) 1263.0946547884
anneal (200) 1263.0946547884
anneal (254) 1263.0946547884
anneal (242) 1263.0946547884
anneal (240) 1263.0946547884
anneal (213) 1263.0946547884
anneal (183) 1263.0946547884
Click_prediction_small (5) 16016715.903249
anneal (156) 1263.0946547884
TEST2f9e899c65-XOR (1) 0.5
anneal (246) 1263.0946547884
anneal (151) 1263.0946547884
anneal (52) 1263.0946547884
anneal (109) 1263.0946547884
anneal (215) 1263.0946547884
anneal (261) 1263.0946547884
anneal (168) 1263.0946547884
TEST3620d8fbd0-XOR (1) 0.5
anneal (258) 1263.0946547884
irish (1) 100.152
anneal (239) 1263.0946547884
anneal (252) 1263.0946547884
anneal (81) 1263.0946547884
anneal (244) 1263.0946547884
TEST104676cb6a-pandas_testing_dataset (2) 3
TESTc16ac7f367-pandas_testing_dataset (4) 2
TESTfab02098c0-pandas_testing_dataset (1) 3
anneal (275) 1263.0946547884
anneal (274) 1263.0946547884
anneal (312) 1263.0946547884
anneal (280) 1263.0946547884
anneal (286) 1263.0946547884
anneal (301) 1263.0946547884
anneal (282) 1263.0946547884
anneal (284) 1263.0946547884
anneal (273) 1263.0946547884
anneal (278) 1263.0946547884
anneal (333) 1263.0946547884
anneal (318) 1263.0946547884
anneal (359) 1263.0946547884
anneal (356) 1263.0946547884
anneal (385) 1263.0946547884
anneal (379) 1263.0946547884
anneal (298) 1263.0946547884
anneal (311) 1263.0946547884
anneal (320) 1263.0946547884
anneal (362) 1263.0946547884
anneal (355) 1263.0946547884
anneal (357) 1263.0946547884
anneal (337) 1263.0946547884
anneal (381) 1263.0946547884
anneal (335) 1263.0946547884
anneal (336) 1263.0946547884
anneal (384) 1263.0946547884
TESTfa348335d3-pandas_testing_dataset (3)
anneal (332) 1263.0946547884
anneal (346) 1263.0946547884
anneal (388) 1263.0946547884
anneal (305) 1263.0946547884
anneal (343) 1263.0946547884
anneal (288) 1263.0946547884
TEST845a642017-pandas_testing_dataset (3)
anneal (340) 1263.0946547884
anneal (374) 1263.0946547884
anneal (372) 1263.0946547884
anneal (371) 1263.0946547884
TEST5b30e679ed-pandas_testing_dataset (1) 3
anneal (383) 1263.0946547884
anneal (358) 1263.0946547884
anneal (395) 1263.0946547884
TEST6f97db9a3e-ModifiedWeather (1) 81.642857142857
anneal (290) 1263.0946547884
anneal (324) 1263.0946547884
TEST5b30e679ed-pandas_testing_dataset (4) 2
TEST7dc1ecdb15-XOR (1) 0.5
anneal (354) 1263.0946547884
anneal (303) 1263.0946547884
anneal (319) 1263.0946547884
anneal (334) 1263.0946547884
anneal (405) 1263.0946547884
anneal (404) 1263.0946547884
anneal (308) 1263.0946547884
anneal (398) 1263.0946547884
anneal (291) 1263.0946547884
TEST6dc49fc872-pandas_testing_dataset (2) 0.75
anneal (402) 1263.0946547884
TESTb410f44fd0-pandas_testing_dataset (3) 0.4
anneal (317) 1263.0946547884
TESTb410f44fd0-pandas_testing_dataset (1) 3
TESTc5c73d43cf-XOR (1) 0.5
anneal (360) 1263.0946547884
anneal (403) 1263.0946547884
anneal (277) 1263.0946547884
anneal (407) 1263.0946547884
TEST5b30e679ed-pandas_testing_dataset (3) 0.4
anneal (410) 1263.0946547884
anneal (361) 1263.0946547884
TEST9161e0d711-pandas_testing_dataset (3)
TESTeedf1c617e-pandas_testing_dataset (3) 0.4
TEST58188dfbc6-pandas_testing_dataset (3) 0.4
TESTa5e33d6c29-pandas_testing_dataset (1) 87.4
TESTb410f44fd0-pandas_testing_dataset (2) 3
TEST6dc49fc872-pandas_testing_dataset (1) 87.4
TESTb918af0e2d-pandas_testing_dataset (4) 2
anneal (409) 1263.0946547884
anneal (347) 1263.0946547884
anneal (295) 1263.0946547884
anneal (348) 1263.0946547884
TEST0938a9daba-pandas_testing_dataset (3)
anneal (287) 1263.0946547884
TESTca5628eaef-pandas_testing_dataset (1) 87.4
anneal (314) 1263.0946547884
anneal (408) 1263.0946547884
TESTc9ed3920cd-XOR (1) 0.5
TESTeedf1c617e-pandas_testing_dataset (2) 3
TESTa5e33d6c29-pandas_testing_dataset (3)
TESTa10ede6728-XOR (1) 0.5
anneal (342) 1263.0946547884
TESTeedf1c617e-pandas_testing_dataset (4) 2
TESTb918af0e2d-pandas_testing_dataset (3) 0.4
anneal (422) 1263.0946547884
anneal (296) 1263.0946547884
anneal (276) 1263.0946547884
anneal (418) 1263.0946547884
anneal (304) 1263.0946547884
anneal (399) 1263.0946547884
TESTa5e33d6c29-pandas_testing_dataset (2) 0.75
anneal (390) 1263.0946547884
TEST10c25a3b38-pandas_testing_dataset (3)
anneal (424) 1263.0946547884
TESTed776f0840-pandas_testing_dataset (3)
anneal (412) 1263.0946547884
anneal (417) 1263.0946547884
anneal (283) 1263.0946547884
anneal (425) 1263.0946547884
anneal (400) 1263.0946547884
TESTed7333f3d2-ModifiedWeather (1) 81.642857142857
anneal (420) 1263.0946547884
anneal (413) 1263.0946547884
anneal (423) 1263.0946547884
TESTf9ea71bde7-XOR (1) 0.5
anneal (325) 1263.0946547884
TEST5b30e679ed-pandas_testing_dataset (2) 3
anneal (434) 1263.0946547884
anneal (365) 1263.0946547884
anneal (426) 1263.0946547884
TEST855da0f4bb-ModifiedWeather (1) 81.642857142857
TEST84e82f2c56-ModifiedWeather (1) 81.642857142857
TESTb9093fb3b4-ModifiedWeather (1) 81.642857142857
TEST178704e3b7-ModifiedWeather (1) 81.642857142857
anneal (393) 1263.0946547884
TESTd655778eb6-ModifiedWeather (1) 81.642857142857
anneal (438) 1263.0946547884
TEST17eccd9837-pandas_testing_dataset (3) 0.4
anneal (433) 1263.0946547884
TESTb918af0e2d-pandas_testing_dataset (2) 3
TESTca5628eaef-pandas_testing_dataset (2) 0.75
TESTf2a16c917e-XOR (1) 0.5
anneal (429) 1263.0946547884
anneal (443) 1263.0946547884
anneal (401) 1263.0946547884
anneal (363) 1263.0946547884
anneal (344) 1263.0946547884
anneal (380) 1263.0946547884
TEST6dc49fc872-pandas_testing_dataset (3)