Measure

Quartile2MeansOfNumericAtts

Second quartile (Median) of means among attributes of the numeric type.

Value per dataset

mbagrade (1) 289.02224590164
wdbc (1) 0.21771345342707
vehicle (1) 87.883569739953
jm1 (1) 14.177237482775
cleveland (1) 54.438943894389
ada_agnostic (1) 0.093818500657606
cholesterol (1) 54.438943894389
madelon (1) 485.00653846154
one-hundred-plants-texture (1) 0.015445169480926
micro-mass (2) 13117.016397937
mfeat-zernike (1) 69.881896744535
MagicTelescope (1) 6.6852808885384
mfeat-karhunen (1) 0.0044830878174998
credit-a (1) 18.163447864563
mushroom (1)
tamilnadu-electricity (1) 0.50031097663878
Click_prediction_small (5) 35194.431360769
isolet (1) 0.202268949596
cylinder-bands (2) 32.837314400571
autoMpg (1) 104.4693877551
mfeat-morphological (1) 1.686534392555
pc1 (1) 15.396266907124
credit-g (1) 2.973
qsar-biodeg (1) 1.1311061611374
iris-challenge (1) 3.4063333333333
spambase (1) 0.10285155401
splice (1)
anneal (3) 21.222160356347
vowel (2) -0.03785202020202
ilpd (1) 6.4831903945111
blood-transfusion-service-center (1) 21.894385026738
artificial-characters (1) 15.246036406342
mozilla4 (1) 2097.5735606307
kc1 (1) 7.6316737790422
fourclass_scale (1) 0.0053323665893272
analcatdata_dmft (1)
optdigits (1) 4.5655693950178
GesturePhaseSegmentationProcessed (1) 1.2317544312772E-5
eeg-eye-state (1) 4271.6276034713
wilt (1) 126.85554692643
pharynx (1) 309.58205128205
kin8nm (1) 0.0078856043461402
gina_agnostic (1) 46.794982698962
Amazon_employee_access (1)
sick (1) 28.411322582957
profb (1) 16.857142857143
wall-robot-navigation (1) 2.1581315065982
monks-problems-2 (1)
wisconsin (1) 0.36456731958763
triazines (1) 0.17738172043011
bolts (1) 7
har (1) -0.66028433449849
gas-drift (1) 5.3689675173616
scene (1) 0.26632103676776
mfeat-fourier (1) 0.1064998764125
anneal (2) 21.222160356347
semeion (1) 0.32485875706215
one-hundred-plants-margin (1) 0.0150664865625
banknote-authentication (1) 0.91568118695335
cardiotocography (1) 3.6599247412982
cloud (1) 1.3694907407407
adult (2) 63.962347979198
climate-model-simulation-crashes (1) 0.50003784351852
a (1) 3.0573333333333
letter (1) 5.913225
Australian (3) -0.18913043478261
tic-tac-toe (1)
mfeat-pixel (1)
MiceProtein (1) 0.37851854251532
fruitfly (1) 23.464
analcatdata_authorship (1) 5.0309155766944
pc3 (1) 7.6378758797185
autoPrice (1) 80.722012578616
auto_price (1) 95.836477987421
musk (1) -54.406107911489
hill-valley (1) 8169.5332425743
anneal (6) 21.222160356347
ozone-level-8hr (1) 4.8158629940805
irish (1) 69.543299578059
electricity (1) 0.42541789525953
satimage (1) -0.00059809346811814
lowbwt (1) 129.81481481481
nomao (1) 0.80968901439141
breast-w (1) 3.2074391988555
monks-problems-3 (1)
pbc (1) 122.55634615385
delta_elevators (1) -0.00019649049070084
vineyard (1) 9.6538461538462
texture (1) -0.580428
mfeat-factors (1) 146.47975
eucalyptus (1) 6.2496026170588
pendigits (1) 48.528930131004
pc4 (1) 6.997256515775
UNIX_user_data (1) 885.17406593408
detroit (1) 245.14038461538
synthetic_control (1) 30.088384741667
abalone (1) 0.3593674886282
anneal (5) 21.222160356347
waveform-5000 (1) 0.031811
LED-display-domain-7digit (1) 0.67
steel-plates-fault (1) 0.61052864502834
PhishingWebsites (1)
car (1)
a (2) 3.0573333333333
iris (2) 3.4063333333333
cpu_act (1) 20.578762817383
anneal (7) 21.222160356347
anneal (8) 21.222160356347
anneal (11) 21.222160356347
anneal (12) 21.222160356347
anneal (9) 21.222160356347
anneal (10) 21.222160356347
anneal (13) 21.222160356347
anneal (15) 21.222160356347
TESTcd6b36175d-ModifiedWeather (1) 77.607142857143
TEST79d5120512-XOR (1) 0.5
anneal (16) 21.222160356347
TEST03ae3917f9-pandas_testing_dataset (1) 82.3
TESTfce9706bd8-pandas_testing_dataset (1) 1.7
anneal (20) 21.222160356347
anneal (25) 21.222160356347
anneal (64) 21.222160356347
TESTc236f8668b-pandas_testing_dataset (1) 1.7
anneal (52) 21.222160356347
anneal (23) 21.222160356347
anneal (51) 21.222160356347
TEST42f439d59e-ModifiedWeather (1) 77.607142857143
TEST6cd383bd36-pandas_testing_dataset (3)
TESTb73fca9dea-pandas_testing_dataset (3)
TEST1c031057be-XOR (1) 0.5
anneal (69) 21.222160356347
anneal (37) 21.222160356347
anneal (28) 21.222160356347
TEST68b8719aa6-pandas_testing_dataset (3)
anneal (54) 21.222160356347
TEST497883d61c-XOR (1) 0.5
anneal (61) 21.222160356347
anneal (77) 21.222160356347
anneal (68) 21.222160356347
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) 21.222160356347
TESTc236f8668b-pandas_testing_dataset (2) 1.7
anneal (21) 21.222160356347
TEST63cf2e1fbd-pandas_testing_dataset (4) 1.2
anneal (58) 21.222160356347
TESTfb8c9dda6b-pandas_testing_dataset (3) 0.4
anneal (76) 21.222160356347
TEST2ea13bc990-pandas_testing_dataset (3)
anneal (18) 21.222160356347
anneal (101) 21.222160356347
anneal (47) 21.222160356347
anneal (89) 21.222160356347
anneal (14) 21.222160356347
TEST0ce86503a9-XOR (1) 0.5
anneal (26) 21.222160356347
anneal (45) 21.222160356347
anneal (60) 21.222160356347
anneal (39) 21.222160356347
anneal (106) 21.222160356347
anneal (86) 21.222160356347
anneal (31) 21.222160356347
anneal (78) 21.222160356347
TEST843467ee18-XOR (1) 0.5
anneal (67) 21.222160356347
TEST95346f9559-pandas_testing_dataset (3) 0.4
TEST15ca9f322a-pandas_testing_dataset (3)
anneal (100) 21.222160356347
anneal (107) 21.222160356347
TESTfd7b579d2e-UploadTestWithURL (1) 3.4063333333333
anneal (44) 21.222160356347
anneal (22) 21.222160356347
anneal (96) 21.222160356347
anneal (84) 21.222160356347
TEST03ae3917f9-pandas_testing_dataset (3)
TEST95346f9559-pandas_testing_dataset (2) 1.7
TEST2ea13bc990-pandas_testing_dataset (1) 82.3
TEST2ea13bc990-pandas_testing_dataset (2) 0.5
anneal (30) 21.222160356347
TESTf376696645-ModifiedWeather (1) 77.607142857143
anneal (34) 21.222160356347
TEST6ca4501805-pandas_testing_dataset (1) 82.3
anneal (88) 21.222160356347
anneal (36) 21.222160356347
anneal (94) 21.222160356347
anneal (72) 21.222160356347
TESTe23b3943e2-XOR (1) 0.5
TESTc682124a7c-pandas_testing_dataset (3)
TEST15ca9f322a-pandas_testing_dataset (1) 82.3
TEST17559f05ba-XOR (1) 0.5
anneal (90) 21.222160356347
TEST06a78f9b67-pandas_testing_dataset (2) 1.7
anneal (35) 21.222160356347
anneal (41) 21.222160356347
anneal (32) 21.222160356347
TESTfb8c9dda6b-pandas_testing_dataset (2) 1.7
TEST6cd383bd36-pandas_testing_dataset (2) 0.5
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) 0.5
anneal (19) 21.222160356347
TESTc31b13a56a-XOR (1) 0.5
anneal (75) 21.222160356347
anneal (73) 21.222160356347
anneal (55) 21.222160356347
TESTe3a1b5909b-pandas_testing_dataset (1) 82.3
TEST15ca9f322a-pandas_testing_dataset (2) 0.5
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) 21.222160356347
TEST06a78f9b67-pandas_testing_dataset (4) 1.2
anneal (33) 21.222160356347
TEST95346f9559-pandas_testing_dataset (4) 1.2
anneal (59) 21.222160356347
anneal (99) 21.222160356347
anneal (82) 21.222160356347
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) 3.4063333333333
anneal (62) 21.222160356347
TEST06a78f9b67-pandas_testing_dataset (1) 1.7
anneal (53) 21.222160356347
anneal (93) 21.222160356347
anneal (65) 21.222160356347
anneal (38) 21.222160356347
anneal (42) 21.222160356347
anneal (66) 21.222160356347
TEST09797384d7-pandas_testing_dataset (1) 1.7
TESTb73fca9dea-pandas_testing_dataset (1) 82.3
anneal (29) 21.222160356347
anneal (24) 21.222160356347
anneal (102) 21.222160356347
anneal (97) 21.222160356347
anneal (70) 5.913225
TESTb3cf06a12a-ModifiedWeather (1) 77.607142857143
TEST6ca4501805-pandas_testing_dataset (2) 0.5
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) 0.5
anneal (56) 21.222160356347
anneal (103) 21.222160356347
anneal (108) 21.222160356347
anneal (109) 21.222160356347
TEST6ca4501805-pandas_testing_dataset (3)
Bioresponse (1) 0.01999466808851
cjs (3) 2.9905882352941
dresses-sales (2) 3.5286
pol (1) 0.941
sleep (1) 15.205172413793
diabetes_numeric (1) 4.746511627907
soybean (1)
JapaneseVowels (1) -0.035201366077703
first-order-theorem-proving (1) -0.0024692322654467
one-hundred-plants-shape (1) 0.000584411875
cmc (1) 17.899864222675
cnae-9 (1) 0.0018518518518519
segment (1) 8.2436922506858
monks-problems-1 (1)
sylva_agnostic (1) 0.022820423758249
bank-marketing (1) 40.197827962216
phoneme (1) 3.3308660617082E-9
anneal (115) 21.222160356347
anneal (112) 21.222160356347
quake (1) 31.438415977961
collins (1) 1.32206
kc2 (1) 9.7352873563218
diabetes (1) 32.616731770833
kr-vs-kp (1)
balance-scale (1) 3
anneal (120) 21.222160356347
anneal (122) 21.222160356347
anneal (116) 21.222160356347
anneal (129) 21.222160356347
anneal (118) 21.222160356347
anneal (111) 21.222160356347
Weather (1) 77.607142857143
anneal (124) 21.222160356347
Weather (2) 77.607142857143
anneal (126) 21.222160356347
XOR (1) 0.5
anneal (119) 21.222160356347
anneal (130) 21.222160356347
anneal (125) 21.222160356347
anneal (113) 21.222160356347
anneal (121) 21.222160356347
anneal (123) 21.222160356347
Diabetes(scikit-learn) (1) -1.2559083988972E-18
XOR (2) 0.5
anneal (117) 21.222160356347
anneal (128) 21.222160356347
anneal (132) 21.222160356347
anneal (110) 21.222160356347
anneal (131) 21.222160356347
iris (1) 3.4063333333333
anneal (1) 21.222160356347
longley (1) 3193.3125