Measure

MeanMeansOfNumericAtts

Mean of means among attributes of the numeric type.

Value per dataset

mbagrade (1) 289.02224590164
wdbc (1) 61.890712339543
vehicle (1) 117.63494877857
jm1 (1) 1902.782368645
cleveland (1) 83.582597342391
ada_agnostic (1) 34.15561522724
cholesterol (1) 83.582597342391
madelon (1) 488.06103384615
one-hundred-plants-texture (1) 0.015625021996169
micro-mass (2) 67437.288993296
mfeat-zernike (1) 88.636429414727
MagicTelescope (1) 30.677838007361
mfeat-karhunen (1) 0.053084739246641
credit-a (1) 207.05842997023
mushroom (1)
tamilnadu-electricity (1) 0.50031097663878
Click_prediction_small (5) 2225380.7137501
isolet (1) 0.06479603695807
cylinder-bands (2) 2198.8837376686
autoMpg (1) 661.48051071685
mfeat-morphological (1) 1052.6997316403
pc1 (1) 1500.9949675813
credit-g (1) 476.58385714286
qsar-biodeg (1) 2.6835215743845
iris-challenge (1) 3.4636666666667
spambase (1) 6.1507701910721
splice (1)
anneal (3) 348.50426818857
vowel (2) -0.1031804040404
ilpd (1) 60.14487102268
blood-transfusion-service-center (1) 356.99498663102
artificial-characters (1) 15.677500209714
mozilla4 (1) 221598.56303635
kc1 (1) 285.09691661587
fourclass_scale (1) -0.090235332173241
analcatdata_dmft (1)
optdigits (1) 4.9112433274021
GesturePhaseSegmentationProcessed (1) 0.0013097793076762
eeg-eye-state (1) 4316.8820285462
wilt (1) 204.97116890275
pharynx (1) 309.58205128205
kin8nm (1) 0.081562861714852
gina_agnostic (1) 53.994961592885
Amazon_employee_access (1)
sick (1) 46.436689696411
profb (1) 28.800744047619
wall-robot-navigation (1) 2.0457923463465
monks-problems-2 (1)
wisconsin (1) 86.317820839894
triazines (1) 0.21151489511722
bolts (1) 14.888714285714
har (1) -0.50862021758511
gas-drift (1) 2791.4633316684
scene (1) 0.30826851410286
mfeat-fourier (1) 0.1320320840177
anneal (2) 348.50426818857
semeion (1) 0.3286252354049
one-hundred-plants-margin (1) 0.015624954072266
banknote-authentication (1) 0.64051474344023
cardiotocography (1) 106.21290686736
cloud (1) 1.5334953703704
adult (2) 31819.974765571
climate-model-simulation-crashes (1) 18.575018532685
a (1) 2.6715555555556
letter (1) 5.925465625
Australian (3) -0.35136002080745
tic-tac-toe (1)
mfeat-pixel (1)
MiceProtein (1) 0.67188681202573
fruitfly (1) 27.241653333333
analcatdata_authorship (1) 10.125242058774
pc3 (1) 1008.1458672684
autoPrice (1) 1238.9450943396
auto_price (1) 1321.4923773585
musk (1) -46.007437449099
hill-valley (1) 8174.0512075908
anneal (6) 348.50426818857
ozone-level-8hr (1) 296.49460649984
irish (1) 69.543299578059
electricity (1) 0.34418203759017
satimage (1) -0.00055608852600657
lowbwt (1) 1032.569664903
nomao (1) 0.79344645037907
breast-w (1) 3.1357041002822
monks-problems-3 (1)
pbc (1) 449.09740946579
delta_elevators (1) -1.7990314594935
vineyard (1) 10.339743589744
texture (1) -0.60551662272727
mfeat-factors (1) 318.27038888889
eucalyptus (1) 390.08682880727
pendigits (1) 50.711045533115
pc4 (1) 583.46403347792
UNIX_user_data (1) 885.17406593408
detroit (1) 32568.318516484
synthetic_control (1) 30.092165470408
abalone (1) 0.38270340982934
anneal (5) 348.50426818857
waveform-5000 (1) 0.8994882
LED-display-domain-7digit (1) 0.65657142857143
steel-plates-fault (1) 106447.78586589
PhishingWebsites (1)
car (1)
a (2) 2.6715555555556
iris (2) 3.4636666666667
cpu_act (1) 73907.626650724
anneal (7) 348.50426818857
anneal (8) 348.50426818857
anneal (11) 348.50426818857
anneal (12) 348.50426818857
anneal (9) 348.50426818857
anneal (10) 348.50426818857
anneal (13) 348.50426818857
anneal (15) 348.50426818857
TESTcd6b36175d-ModifiedWeather (1) 77.607142857143
TEST79d5120512-XOR (1) 0.5
anneal (16) 348.50426818857
TEST03ae3917f9-pandas_testing_dataset (1) 82.3
TESTfce9706bd8-pandas_testing_dataset (1) 1.7
anneal (20) 348.50426818857
anneal (25) 348.50426818857
anneal (64) 348.50426818857
TESTc236f8668b-pandas_testing_dataset (1) 1.7
anneal (52) 348.50426818857
anneal (23) 348.50426818857
anneal (51) 348.50426818857
TEST42f439d59e-ModifiedWeather (1) 77.607142857143
TEST6cd383bd36-pandas_testing_dataset (3)
TESTb73fca9dea-pandas_testing_dataset (3)
TEST1c031057be-XOR (1) 0.5
anneal (69) 348.50426818857
anneal (37) 348.50426818857
anneal (28) 348.50426818857
TEST68b8719aa6-pandas_testing_dataset (3)
anneal (54) 348.50426818857
TEST497883d61c-XOR (1) 0.5
anneal (61) 348.50426818857
anneal (77) 348.50426818857
anneal (68) 348.50426818857
TESTfb8c9dda6b-pandas_testing_dataset (1) 1.7
TEST12cee25e4e-ModifiedWeather (1) 77.607142857143
TESTfb357f8e8d-ModifiedWeather (1) 77.607142857143
TEST24233797e6-XOR (1) 0.5
TESTb1d41eaa75-XOR (1) 0.5
anneal (63) 348.50426818857
TESTc236f8668b-pandas_testing_dataset (2) 1.7
anneal (21) 348.50426818857
TEST63cf2e1fbd-pandas_testing_dataset (4) 1.2
anneal (58) 348.50426818857
TESTfb8c9dda6b-pandas_testing_dataset (3) 0.4
anneal (76) 348.50426818857
TEST2ea13bc990-pandas_testing_dataset (3)
anneal (18) 348.50426818857
anneal (101) 348.50426818857
anneal (47) 348.50426818857
anneal (89) 348.50426818857
anneal (14) 348.50426818857
TEST0ce86503a9-XOR (1) 0.5
anneal (26) 348.50426818857
anneal (45) 348.50426818857
anneal (60) 348.50426818857
anneal (39) 348.50426818857
anneal (106) 348.50426818857
anneal (86) 348.50426818857
anneal (31) 348.50426818857
anneal (78) 348.50426818857
TEST843467ee18-XOR (1) 0.5
anneal (67) 348.50426818857
TEST95346f9559-pandas_testing_dataset (3) 0.4
TEST15ca9f322a-pandas_testing_dataset (3)
anneal (100) 348.50426818857
anneal (107) 348.50426818857
TESTfd7b579d2e-UploadTestWithURL (1) 3.4636666666667
anneal (44) 348.50426818857
anneal (22) 348.50426818857
anneal (96) 348.50426818857
anneal (84) 348.50426818857
TEST03ae3917f9-pandas_testing_dataset (3)
TEST95346f9559-pandas_testing_dataset (2) 1.7
TEST2ea13bc990-pandas_testing_dataset (1) 82.3
TEST2ea13bc990-pandas_testing_dataset (2) 0.58333333333333
anneal (30) 348.50426818857
TESTf376696645-ModifiedWeather (1) 77.607142857143
anneal (34) 348.50426818857
TEST6ca4501805-pandas_testing_dataset (1) 82.3
anneal (88) 348.50426818857
anneal (36) 348.50426818857
anneal (94) 348.50426818857
anneal (72) 348.50426818857
TESTe23b3943e2-XOR (1) 0.5
TESTc682124a7c-pandas_testing_dataset (3)
TEST15ca9f322a-pandas_testing_dataset (1) 82.3
TEST17559f05ba-XOR (1) 0.5
anneal (90) 348.50426818857
TEST06a78f9b67-pandas_testing_dataset (2) 1.7
anneal (35) 348.50426818857
anneal (41) 348.50426818857
anneal (32) 348.50426818857
TESTfb8c9dda6b-pandas_testing_dataset (2) 1.7
TEST6cd383bd36-pandas_testing_dataset (2) 0.58333333333333
TEST09797384d7-pandas_testing_dataset (2) 1.7
TESTfb8c9dda6b-pandas_testing_dataset (4) 1.2
TESTc236f8668b-pandas_testing_dataset (3) 0.4
TESTb73fca9dea-pandas_testing_dataset (2) 0.58333333333333
anneal (19) 348.50426818857
TESTc31b13a56a-XOR (1) 0.5
anneal (75) 348.50426818857
anneal (73) 348.50426818857
anneal (55) 348.50426818857
TESTe3a1b5909b-pandas_testing_dataset (1) 82.3
TEST15ca9f322a-pandas_testing_dataset (2) 0.58333333333333
TEST63cf2e1fbd-pandas_testing_dataset (2) 1.7
TEST09797384d7-pandas_testing_dataset (3) 0.4
TEST63cf2e1fbd-pandas_testing_dataset (1) 1.7
TEST95346f9559-pandas_testing_dataset (1) 1.7
TESTbd626c29c8-XOR (1) 0.5
anneal (95) 348.50426818857
TEST06a78f9b67-pandas_testing_dataset (4) 1.2
anneal (33) 348.50426818857
TEST95346f9559-pandas_testing_dataset (4) 1.2
anneal (59) 348.50426818857
anneal (99) 348.50426818857
anneal (82) 348.50426818857
TEST6cd383bd36-pandas_testing_dataset (1) 82.3
TEST257d57cd52-XOR (1) 0.5
TEST09797384d7-pandas_testing_dataset (4) 1.2
TEST06a78f9b67-pandas_testing_dataset (3) 0.4
TESTad9ec77a46-UploadTestWithURL (1) 3.4636666666667
anneal (62) 348.50426818857
TEST06a78f9b67-pandas_testing_dataset (1) 1.7
anneal (53) 348.50426818857
anneal (93) 348.50426818857
anneal (65) 348.50426818857
anneal (38) 348.50426818857
anneal (42) 348.50426818857
anneal (66) 348.50426818857
TEST09797384d7-pandas_testing_dataset (1) 1.7
TESTb73fca9dea-pandas_testing_dataset (1) 82.3
anneal (29) 348.50426818857
anneal (24) 348.50426818857
anneal (102) 348.50426818857
anneal (97) 348.50426818857
anneal (70) 5.925465625
TESTb3cf06a12a-ModifiedWeather (1) 77.607142857143
TEST6ca4501805-pandas_testing_dataset (2) 0.58333333333333
TESTc236f8668b-pandas_testing_dataset (4) 1.2
TESTa7fbefc142-pandas_testing_dataset (2) 1.7
TEST63cf2e1fbd-pandas_testing_dataset (3) 0.4
TEST03ae3917f9-pandas_testing_dataset (2) 0.58333333333333
anneal (56) 348.50426818857
anneal (103) 348.50426818857
anneal (108) 348.50426818857
anneal (109) 348.50426818857
TEST6ca4501805-pandas_testing_dataset (3)
Bioresponse (1) 0.087879998405782
cjs (3) 2.8135288432329
dresses-sales (2) 3.5286
pol (1) 19.626665306122
sleep (1) 82.823899541157
diabetes_numeric (1) 1.8767441860465
soybean (1)
JapaneseVowels (1) 2.053272292419
first-order-theorem-proving (1) -0.00055103311988412
one-hundred-plants-shape (1) 0.00060469328125
cmc (1) 17.899864222675
cnae-9 (1) 0.0082132658359294
segment (1) 24.633144132658
monks-problems-1 (1)
sylva_agnostic (1) 84.291369495581
bank-marketing (1) 245.81710835227
phoneme (1) -1.2287194680574E-8
anneal (115) 348.50426818857
anneal (112) 348.50426818857
quake (1) 35.803494031221
collins (1) 3.31444
kc2 (1) 977.89369914249
anneal (1) 348.50426818857
diabetes (1) 44.985791178385
kr-vs-kp (1)
balance-scale (1) 3
anneal (120) 348.50426818857
anneal (122) 348.50426818857
anneal (116) 348.50426818857
anneal (129) 348.50426818857
anneal (118) 348.50426818857
anneal (111) 348.50426818857
Weather (1) 77.607142857143
anneal (124) 348.50426818857
Weather (2) 77.607142857143
anneal (126) 348.50426818857
XOR (1) 0.5
anneal (119) 348.50426818857
anneal (130) 348.50426818857
anneal (125) 348.50426818857
anneal (113) 348.50426818857
anneal (121) 348.50426818857
anneal (123) 348.50426818857
Diabetes(scikit-learn) (1) 13.830316742081
XOR (2) 0.5
anneal (128) 348.50426818857
anneal (117) 348.50426818857
anneal (110) 348.50426818857
longley (1) 82613.659821429
anneal (131) 348.50426818857
iris (1) 3.4636666666667
anneal (132) 348.50426818857