Measure

MaxMeansOfNumericAtts

Maximum of means among attributes of the numeric type.

Value per dataset

triazines (1) 0.65187096774194
anneal (8) 1263.0946547884
anneal (4) 1263.0946547884
anneal (2) 1263.0946547884
XOR (1) 0.5
Weather (1) 81.642857142857
web_questionsQA (1)
anneal (6) 1263.0946547884
anneal (7) 1263.0946547884
Weather (2) 81.642857142857
TEST9e3886e694-XOR (1) 0.5
iris (2) 5.8433333333333
anneal (12) 1263.0946547884
anneal (14) 8.33885
TESTc7ba0dcb5a-XOR (1) 0.5
TESTed4a84a4bb-pandas_testing_dataset (2) 0.75
test (6) 5.8433333333333
TEST51ef687b9d-pandas_testing_dataset (2) 3
Diabetes(scikit-learn) (1) 152.1334841629
anneal (13) 1263.0946547884
TESTb633b550cf-pandas_testing_dataset (1) 87.4
test (4) 5.8433333333333
TEST51ef687b9d-pandas_testing_dataset (1) 3
TESTed4a84a4bb-pandas_testing_dataset (1) 87.4
test (3) 5.8433333333333
test (1) 5.8433333333333
test (2) 5.8433333333333
TEST51ef687b9d-pandas_testing_dataset (4) 2
anneal (9) 1263.0946547884
TESTaf99b42041-ModifiedWeather (1) 81.642857142857
XOR (2) 0.75
test (9) 5.8433333333333
anneal (17) 1263.0946547884
test (7) 5.8433333333333
TESTe216022baf-UploadTestWithURL (1) 5.8433333333333
iris-challenge (1) 5.8433333333333
TEST8facacd8dc-UploadTestWithURL (1) 5.8433333333333
test (10) 5.8433333333333
test (14) 5.8433333333333
test (5) 5.8433333333333
test (13) 5.8433333333333
test (12) 5.8433333333333
TEST51ef687b9d-pandas_testing_dataset (3) 0.4
TESTed4a84a4bb-pandas_testing_dataset (3)
anneal (3) 1263.0946547884
anneal (23) 1263.0946547884
TEST0ea351d931-pandas_testing_dataset (1) 3
anneal (24) 1263.0946547884
anneal (18) 1263.0946547884
test (11) 5.8433333333333
test (8) 5.8433333333333
anneal (26) 1263.0946547884
anneal (27) 1263.0946547884
anneal (39) 1263.0946547884
anneal (43) 1263.0946547884
anneal (63) 1263.0946547884
test (16) 5.8433333333333
TEST840571e677-pandas_testing_dataset (1) 87.4
anneal (58) 1263.0946547884
Weather (6) 81.642857142857
anneal (62) 1263.0946547884
anneal (30) 1263.0946547884
test (24) 5.8433333333333
test (20) 5.8433333333333
anneal (66) 1263.0946547884
anneal (34) 1263.0946547884
anneal (38) 1263.0946547884
anneal (41) 1263.0946547884
Weather (3) 81.642857142857
XOR (4) 0.75
Weather (4) 81.642857142857
Weather (8) 81.642857142857
test (19) 5.8433333333333
test (21) 5.8433333333333
Diabetes(scikit-learn) (3) 152.1334841629
XOR (3) 0.5
anneal (48) 1263.0946547884
XOR (6) 0.75
test (27) 5.8433333333333
XOR (5) 0.5
spambase (1) 283.28928493806
anneal (49) 1263.0946547884
test (33) 5.8433333333333
anneal (32) 1263.0946547884
anneal (45) 1263.0946547884
anneal (16) 1263.0946547884
anneal (57) 1263.0946547884
Weather (5) 81.642857142857
test (26) 5.8433333333333
XOR (7) 0.5
test (36) 5.8433333333333
test (23) 5.8433333333333
anneal (59) 1263.0946547884
test (28) 5.8433333333333
anneal (42) 1263.0946547884
anneal (33) 1263.0946547884
test (15) 5.8433333333333
anneal (37) 1263.0946547884
anneal (53) 1263.0946547884
anneal (25) 1263.0946547884
anneal (56) 1263.0946547884
test (39) 5.8433333333333
TEST2fe1e97c97-pandas_testing_dataset (1) 3
test (35) 5.8433333333333
test (29) 5.8433333333333
test (31) 5.8433333333333
anneal (52) 1263.0946547884
Diabetes(scikit-learn) (4) 152.1334841629
anneal (54) 1263.0946547884
Weather (7) 81.642857142857
test (22) 5.8433333333333
test (38) 5.8433333333333
test (32) 5.8433333333333
test (18) 5.8433333333333
Diabetes(scikit-learn) (2) 152.1334841629
vineyard (1) 18.086538461538
pol (1) 110
anneal (31) 1263.0946547884
Weather (9) 81.642857142857
Diabetes(scikit-learn) (5) 152.1334841629
TESTccda34c750-pandas_testing_dataset (1) 87.4
anneal (74) 1263.0946547884
Weather (11) 81.642857142857
anneal (61) 1263.0946547884
test (17) 5.8433333333333
TEST22dd0ebd9b-ModifiedWeather (1) 81.642857142857
anneal (36) 1263.0946547884
test (43) 5.8433333333333
XOR (9) 0.5
anneal (89) 1263.0946547884
TESTee7d03de92-pandas_testing_dataset (1) 87.4
anneal (77) 1263.0946547884
anneal (84) 1263.0946547884
TEST76d8cfa095-pandas_testing_dataset (1) 3
XOR (10) 0.75
blood-transfusion-service-center (1) 1378.6764705882
autoMpg (1) 2970.4246231156
autoPrice (1) 11445.729559748
quake (1) 74.359963269054
pbc (1) 1982.6557692308
TEST5f1dfbd75d-pandas_testing_dataset (1) 3
anneal (95) 1263.0946547884
anneal (80) 1263.0946547884
test (40) 5.8433333333333
TESTda410c34dc-pandas_testing_dataset (2) 3
TEST398fcda80b-ModifiedWeather (1) 81.642857142857
TEST7e318eb969-pandas_testing_dataset (3)
Weather (10) 81.642857142857
test (41) 5.8433333333333
TEST76d8cfa095-pandas_testing_dataset (3) 0.4
test (49) 5.8433333333333
Diabetes(scikit-learn) (6) 152.1334841629
TESTda410c34dc-pandas_testing_dataset (3) 0.4
TEST5f1dfbd75d-pandas_testing_dataset (3) 0.4
TEST5705382a07-UploadTestWithURL (1) 5.8433333333333
TESTccda34c750-pandas_testing_dataset (2) 0.75
TEST5f1dfbd75d-pandas_testing_dataset (2) 3
XOR (14) 0.75
XOR (11) 0.5
TEST5f1dfbd75d-pandas_testing_dataset (4) 2
anneal (83) 1263.0946547884
TEST2fb3e3c09b-XOR (1) 0.5
anneal (101) 1263.0946547884
anneal (92) 1263.0946547884
anneal (75) 1263.0946547884
XOR (8) 0.75
Weather (14) 81.642857142857
TESTccda34c750-pandas_testing_dataset (3)
test (42) 5.8433333333333
test (30) 5.8433333333333
XOR (13) 0.5
anneal (103) 1263.0946547884
Weather (12) 81.642857142857
anneal (90) 1263.0946547884
anneal (73) 1263.0946547884
anneal (88) 1263.0946547884
TESTe2a3b91028-ModifiedWeather (1) 81.642857142857
TESTf7444a8ea4-pandas_testing_dataset (3)
TEST07c2b360c0-pandas_testing_dataset (3)
TEST7e318eb969-pandas_testing_dataset (2) 0.75
test (47) 5.8433333333333
test (50) 5.8433333333333
TESTda410c34dc-pandas_testing_dataset (1) 3
anneal (98) 1263.0946547884
test (37) 5.8433333333333
anneal (86) 1263.0946547884
anneal (105) 1263.0946547884
anneal (87) 1263.0946547884
anneal (99) 1263.0946547884
test (44) 5.8433333333333
TESTcf74ef9481-XOR (1) 0.5
XOR (12) 0.75
test (51) 5.8433333333333
anneal (91) 8.33885
test (46) 5.8433333333333
test (45) 5.8433333333333
test (52) 5.8433333333333
anneal (44) 1263.0946547884
anneal (79) 1263.0946547884
anneal (28) 1263.0946547884
test (48) 5.8433333333333
TEST7e318eb969-pandas_testing_dataset (1) 87.4
TESTda410c34dc-pandas_testing_dataset (4) 2
TEST07c2b360c0-pandas_testing_dataset (2) 0.75
TESTdcaa77be46-XOR (1) 0.5
TEST8eecdebbd6-XOR (1) 0.5
anneal (102) 1263.0946547884
Diabetes(scikit-learn) (7) 152.1334841629
anneal (97) 1263.0946547884
TEST2302efba1e-XOR (1) 0.5
anneal (72) 1263.0946547884
test (34) 5.8433333333333
TEST07c2b360c0-pandas_testing_dataset (1) 87.4
Weather (13) 81.642857142857
TESTc09922bc0f-XOR (1) 0.5
test (25) 5.8433333333333
TEST76d8cfa095-pandas_testing_dataset (2) 3
TEST76d8cfa095-pandas_testing_dataset (4) 2
cylinder-bands (2) 37287.531481481
anneal (11) 1263.0946547884
anneal (106) 1263.0946547884
anneal (115) 1263.0946547884
XOR (18) 0.75
anneal (116) 8.33885
anneal (113) 1263.0946547884
anneal (107) 1263.0946547884
mfeat-zernike (1) 508.90257163362
lowbwt (1) 2944.6560846561
anneal (82) 1263.0946547884
anneal (114) 1263.0946547884
Diabetes(scikit-learn) (9) 152.1334841629
Diabetes(scikit-learn) (8) 152.1334841629
Diabetes(scikit-learn) (10) 152.1334841629
credit-a (1) 1017.3855072464
anneal (119) 1263.0946547884
anneal (118) 1263.0946547884
XOR (21) 0.5
Weather (17) 81.642857142857
Weather (21) 81.642857142857
XOR (23) 0.5
XOR (19) 0.5
XOR (17) 0.5
XOR (16) 0.75
XOR (24) 0.75
Diabetes(scikit-learn) (11) 152.1334841629
profb (1) 90
climate-model-simulation-crashes (1) 270.5
pendigits (1) 85.120269286754
tic-tac-toe (1)
abalone (1) 0.82874215944458
anneal (108) 1263.0946547884
artificial-characters (1) 40.463523194363
cloud (1) 2.1928703703704
mushroom (1)
anneal (141) 1263.0946547884
Weather (18) 81.642857142857
anneal (147) 1263.0946547884
anneal (136) 1263.0946547884
anneal (135) 1263.0946547884
anneal (122) 1263.0946547884
XOR (22) 0.75
Weather (22) 81.642857142857
anneal (112) 1263.0946547884
XOR (29) 0.5
anneal (128) 1263.0946547884
anneal (139) 1263.0946547884
XOR (27) 0.5
PhishingWebsites (1)
cholesterol (1) 246.69306930693
texture (1) -0.24215909090909
fourclass_scale (1) 0.011664653132251
credit-g (1) 3271.258
anneal (151) 1263.0946547884
anneal (132) 1263.0946547884
anneal (156) 1263.0946547884
anneal (134) 1263.0946547884
anneal (149) 1263.0946547884
Weather (16) 81.642857142857
Weather (15) 81.642857142857
Weather (27) 81.642857142857
anneal (126) 1263.0946547884
anneal (167) 1263.0946547884
anneal (127) 1263.0946547884
anneal (131) 1263.0946547884
anneal (124) 1263.0946547884
Diabetes(scikit-learn) (15) 152.1334841629
Diabetes(scikit-learn) (14) 152.1334841629
anneal (143) 1263.0946547884
anneal (121) 1263.0946547884
anneal (146) 1263.0946547884
anneal (158) 1263.0946547884
anneal (120) 1263.0946547884
anneal (117) 1263.0946547884
Weather (24) 81.642857142857
Diabetes(scikit-learn) (12) 152.1334841629
XOR (31) 0.5
anneal (150) 1263.0946547884
XOR (32) 0.75
Weather (23) 81.642857142857
anneal (160) 1263.0946547884
Diabetes(scikit-learn) (17) 152.1334841629
anneal (155) 1263.0946547884
Weather (30) 81.642857142857
anneal (110) 1263.0946547884
anneal (173) 1263.0946547884
Weather (20) 81.642857142857
TEST569e152152-pandas_testing_dataset (2) 0.75
XOR (33) 0.5
Weather (26) 81.642857142857
Weather (28) 81.642857142857
XOR (15) 0.5
anneal (137) 1263.0946547884
Weather (19) 81.642857142857
anneal (144) 1263.0946547884
XOR (25) 0.5
anneal (166) 1263.0946547884
XOR (30) 0.75
anneal (159) 1263.0946547884
anneal (161) 1263.0946547884
anneal (154) 1263.0946547884
anneal (125) 1263.0946547884
Weather (31) 81.642857142857
Weather (34) 81.642857142857
anneal (168) 1263.0946547884
anneal (172) 1263.0946547884
anneal (140) 1263.0946547884
anneal (129) 1263.0946547884
anneal (174) 1263.0946547884
XOR (20) 0.75
Weather (25) 81.642857142857
Diabetes(scikit-learn) (16) 152.1334841629
XOR (34) 0.75
XOR (28) 0.75
anneal (162) 1263.0946547884
anneal (109) 1263.0946547884
anneal (171) 1263.0946547884
anneal (164) 1263.0946547884
anneal (145) 1263.0946547884
anneal (123) 1263.0946547884
Weather (33) 81.642857142857
Diabetes(scikit-learn) (13) 152.1334841629
XOR (26) 0.75
anneal (152) 1263.0946547884
anneal (169) 1263.0946547884
anneal (142) 1263.0946547884
Weather (29) 81.642857142857
Weather (32) 81.642857142857
TEST63cd902071-pandas_testing_dataset (2) 3
anneal (175) 1263.0946547884
TESTe55d2d0c3d-pandas_testing_dataset (2) 0.75
anneal (177) 1263.0946547884
TESTe55d2d0c3d-pandas_testing_dataset (3)
anneal (178) 8.33885
TEST9d96ec7ade-UploadTestWithURL (1) 5.8433333333333
anneal (180) 1263.0946547884
TESTcf61db30f6-pandas_testing_dataset (1) 87.4
anneal (181) 1263.0946547884
TEST63cd902071-pandas_testing_dataset (4) 2
TEST63cd902071-pandas_testing_dataset (3) 0.4
TESTada3067c77-XOR (1) 0.5
TESTf112d7f8be-XOR (1) 0.5
TEST9ecb165245-UploadTestWithURL (1) 5.8433333333333
anneal (179) 1263.0946547884
TESTaebada2a36-ModifiedWeather (1) 81.642857142857
TESTe55d2d0c3d-pandas_testing_dataset (1) 87.4
TEST63cd902071-pandas_testing_dataset (1) 3
anneal (182) 1263.0946547884
anneal (183) 1263.0946547884
anneal (184) 1263.0946547884
madelon (1) 517.74884615385
cleveland (1) 246.69306930693
mfeat-karhunen (1) 2.89117112429
mozilla4 (1) 676568.20154391
anneal (185) 1263.0946547884
Weather (35) 81.642857142857
anneal (190) 1263.0946547884
anneal (187) 1263.0946547884
anneal (192) 1263.0946547884
anneal (191) 1263.0946547884
Weather (36) 81.642857142857
XOR (36) 0.75
bank-marketing (1) 1362.2720576851
musk (1) 201.76023037284
sylva_agnostic (1) 879.13449114276
pc3 (1) 34072.822693538
wisconsin (1) 1401.7567010309
anneal (186) 1263.0946547884
anneal (189) 1263.0946547884
Diabetes(scikit-learn) (18) 152.1334841629
XOR (35) 0.5
anneal (193) 8.33885
ModifiedWeather (1) 81.642857142857
XOR (37) 0.5
XOR (38) 0.5
UploadTestWithURL (1) 5.8433333333333
UploadTestWithURL (2) 5.8433333333333
anneal (195) 1263.0946547884
anneal (198) 1263.0946547884
anneal (194) 1263.0946547884
anneal (201) 1263.0946547884
Weather (38) 81.642857142857
XOR (39) 0.5
Weather (37) 81.642857142857
Diabetes(scikit-learn) (19) 152.1334841629
anneal (199) 1263.0946547884
anneal (196) 1263.0946547884
anneal (200) 1263.0946547884
XOR (40) 0.75
UNIX_user_data (1) 885.17406593408
anneal (176) 1263.0946547884
mfeat-fourier (1) 0.37731057175
car (1)
vehicle (1) 439.91134751773
anneal (208) 1263.0946547884
anneal (202) 1263.0946547884
anneal (206) 1263.0946547884
Weather (39) 81.642857142857
XOR (42) 0.75
anneal (203) 1263.0946547884
anneal (209) 1263.0946547884
anneal (207) 1263.0946547884
anneal (204) 1263.0946547884
Weather (40) 81.642857142857
Diabetes(scikit-learn) (20) 152.1334841629
XOR (41) 0.5
har (1) 0.83027549567919
micro-mass (2) 2882892.5060603
detroit (1) 452507.53846154
mfeat-morphological (1) 6155.2004351566
sick (1) 110.46964865663
auto_price (1) 11445.729559748
anneal (94) 1263.0946547884
anneal (213) 1263.0946547884
anneal (215) 1263.0946547884
Diabetes(scikit-learn) (21) 152.1334841629
Weather (42) 81.642857142857
Weather (41) 81.642857142857
XOR (43) 0.5
anneal (211) 1263.0946547884
anneal (210) 1263.0946547884
anneal (214) 1263.0946547884
anneal (212) 1263.0946547884
anneal (218) 1263.0946547884
XOR (44) 0.75
segment (1) 124.91385281385
anneal (222) 1263.0946547884
Weather (43) 81.642857142857
anneal (220) 1263.0946547884
XOR (46) 0.75
anneal (224) 1263.0946547884
anneal (226) 1263.0946547884
anneal (219) 1263.0946547884
Diabetes(scikit-learn) (22) 152.1334841629
XOR (45) 0.5
anneal (221) 1263.0946547884
anneal (225) 1263.0946547884
Weather (44) 81.642857142857
monks-problems-1 (1)
irish (1) 100.152
gina_agnostic (1) 140.39590542099
MagicTelescope (1) 193.81802646688
fruitfly (1) 57.44
cjs (3) 9.3338698140201
dresses-sales (2) 3.5286
balance-scale (1) 3
optdigits (1) 11.989679715302
letter (1) 8.33885
cmc (1) 32.538357094365
soybean (1)
pc1 (1) 28822.882380523
banknote-authentication (1) 1.9223531209913
cardiotocography (1) 1702.8772342427
gas-drift (1) 57340.10458532
ilpd (1) 290.57632933105
phoneme (1) 6.1065877123851E-9
tamilnadu-electricity (1) 0.50098261381359
wilt (1) 525.80030076793
mbagrade (1) 574.75409836066
sleep (1) 283.13419354839
vowel (2) 1.8817636363636
kc1 (1) 5242.3862399242
wall-robot-navigation (1) 3.3511130865103
steel-plates-fault (1) 1650738.7053065
Amazon_employee_access (1)
nomao (1) 0.99975838021181
Click_prediction_small (5) 16016715.903249
anneal (234) 1263.0946547884
Diabetes(scikit-learn) (23) 152.1334841629
anneal (244) 1263.0946547884
XOR (50) 0.75
anneal (228) 1263.0946547884
anneal (237) 1263.0946547884
anneal (242) 1263.0946547884
anneal (231) 1263.0946547884
Weather (47) 81.642857142857
Weather (45) 81.642857142857
TEST08f51af3c8-pandas_testing_dataset (1) 87.4
TESTa365aee568-UploadTestWithURL (1) 5.8433333333333
anneal (233) 1263.0946547884
anneal (240) 1263.0946547884
anneal (229) 1263.0946547884
TEST037907c164-pandas_testing_dataset (3)
TESTa540f38c2d-pandas_testing_dataset (1) 3
TESTfd496f5b4d-XOR (1) 0.5
TEST037907c164-pandas_testing_dataset (2) 0.75
XOR (47) 0.5
XOR (48) 0.75
TEST82462bce44-UploadTestWithURL (1) 5.8433333333333
XOR (49) 0.5
anneal (241) 1263.0946547884
anneal (227) 1263.0946547884
anneal (236) 1263.0946547884
TESTa540f38c2d-pandas_testing_dataset (4) 2
Weather (46) 81.642857142857
Weather (48) 81.642857142857
anneal (235) 8.33885
TESTa540f38c2d-pandas_testing_dataset (2) 3
TESTa540f38c2d-pandas_testing_dataset (3) 0.4
anneal (238) 1263.0946547884
Diabetes(scikit-learn) (24) 152.1334841629
GermanCreditModified (1) 3271.258
GermanCreditModified (3) 3271.258
GermanCreditModified (2) 3271.258
TEST062fea70c5-XOR (1) 0.5
anneal (249) 1263.0946547884
Weather (50) 81.642857142857
anneal (246) 1263.0946547884
anneal (251) 1263.0946547884
anneal (252) 1263.0946547884
anneal (247) 1263.0946547884
anneal (245) 1263.0946547884
XOR (51) 0.5
anneal (250) 1263.0946547884
Weather (49) 81.642857142857
Diabetes(scikit-learn) (25) 152.1334841629
XOR (52) 0.75
pc4 (1) 19505.519540466
first-order-theorem-proving (1) 0.052954623733246
one-hundred-plants-texture (1) 0.036816908692933
pharynx (1) 558.7282051282
Australian (3) 0.35652173913043
waveform-5000 (1) 3.322468
monks-problems-2 (1)
JapaneseVowels (1) 20.36432085132
anneal (232) 1263.0946547884
monks-problems-3 (1)
analcatdata_authorship (1) 77.360285374554
mfeat-factors (1) 1141.5705
breast-w (1) 4.4177396280401
electricity (1) 0.50052639091189
synthetic_control (1) 32.229628666667
analcatdata_dmft (1)
jm1 (1) 36836.365343133
cnae-9 (1) 0.43703703703704
bolts (1) 36.287
cpu_act (1) 1328125.9598389
delta_elevators (1) 0.0016319218241042
qsar-biodeg (1) 37.055639810427
GesturePhaseSegmentationProcessed (1) 0.011116396597792
one-hundred-plants-margin (1) 0.041258590625
kin8nm (1) 0.71428349235742
diabetes_numeric (1) 9.0325581395349
mfeat-pixel (1)
satimage (1) -0.00012632970451019
anneal (253) 1263.0946547884
anneal (255) 1263.0946547884
anneal (257) 1263.0946547884
anneal (260) 1263.0946547884
Weather (52) 81.642857142857
Diabetes(scikit-learn) (26) 152.1334841629
anneal (258) 1263.0946547884
XOR (54) 0.75
anneal (254) 1263.0946547884
anneal (259) 1263.0946547884
Weather (51) 81.642857142857
XOR (53) 0.5
anneal (264) 1263.0946547884
Diabetes(scikit-learn) (27) 152.1334841629
anneal (266) 1263.0946547884
Weather (53) 81.642857142857
anneal (263) 1263.0946547884
Weather (54) 81.642857142857
anneal (265) 1263.0946547884
anneal (262) 1263.0946547884
anneal (261) 1263.0946547884
anneal (269) 1263.0946547884
XOR (56) 0.75
XOR (55) 0.5
semeion (1) 0.646578782172
wdbc (1) 880.58312829525
MiceProtein (1) 3.8439339462999
LED-display-domain-7digit (1) 0.818
kr-vs-kp (1)
eucalyptus (1) 2054.7393689986
ada_agnostic (1) 634.02433143358
hill-valley (1) 8315.0124422442
adult (2) 189664.13459727
Bioresponse (1) 0.97416709584804
splice (1)
scene (1) 0.721717304113
isolet (1) 0.81186135693215
ozone-level-8hr (1) 10164.198441985
one-hundred-plants-shape (1) 0.000736605625
anneal (271) 1263.0946547884
iris (1) 5.8433333333333
longley (1) 387698.4375
diabetes (1) 120.89453125
eeg-eye-state (1) 4644.0223791722
collins (1) 31.48718
kc2 (1) 18542.991628352
anneal (274) 1263.0946547884
anneal (278) 1263.0946547884
anneal (1) 1263.0946547884
TESTa16e77a23a-pandas_testing_dataset (1) 3
anneal (275) 1263.0946547884
anneal (272) 1263.0946547884
anneal (276) 1263.0946547884
anneal (270) 1263.0946547884
Weather (55) 81.642857142857
Weather (56) 81.642857142857
Diabetes(scikit-learn) (28) 152.1334841629
XOR (58) 0.75
XOR (57) 0.5