Measure

AutoCorrelation

Average class difference between consecutive instances.

Value per dataset

jm1 (1) 0.99981624402793
pc1 (1) 0.99819494584838
collins (1) 0.97194388777555
Click_prediction_small (5) 0.71702505820212
waveform-5000 (1) 0.33206641328266
qsar-biodeg (1) 0.99715370018975
semeion (1) 0.92525125628141
spambase (1) 0.99978260869565
one-hundred-plants-margin (1) 0.93808630393996
eeg-eye-state (1) 0.99846451699045
balance-scale (1) 0.69711538461538
artificial-characters (1) 0.99823823040031
auto_price (1) -2423.0696202532
mfeat-zernike (1) 0.99549774887444
eucalyptus (1) 0.39319727891156
segment (1) 0.14811606756172
pbc (1) -1003.4172661871
kc2 (1) 0.99424184261036
splice (1) 0.99937284415177
hill-valley (1) 0.50949628406276
sick (1) 0.88650225404402
tamilnadu-electricity (1) 0.99958497160332
MagicTelescope (1) 0.99994742100005
delta_elevators (1) 0.99717276166456
madelon (1) 0.5105809926895
mfeat-factors (1) 0.99549774887444
wdbc (1) 0.625
ozone-level-8hr (1) 0.91551519936834
cardiotocography (1) 0.608
one-hundred-plants-shape (1) 0.93808630393996
autoMpg (1) -2.8831234256927
pol (1) -39.418694579639
kin8nm (1) 0.70217177769186
gina_agnostic (1) 0.50014421690222
Bioresponse (1) 0.49626666666667
musk (1) 0.99984841594664
monks-problems-3 (1) 0.77034358047016
car (1) 0.59930515344528
diabetes_numeric (1) 0.19761904761905
mushroom (1) 0.72633263572572
iris (2) 0.98657718120805
vineyard (1) -1.1764705882353
iris-challenge (1) 0.77852348993289
triazines (1) 0.83311891891892
isolet (1) 0.30002565418163
cloud (1) -0.0081308411214952
scene (1) 0.98462177888612
cjs (3) 0.99821109123435
pc4 (1) 0.78037062457104
electricity (1) 0.85330273002141
mfeat-morphological (1) 0.99549774887444
fruitfly (1) -16.653225806452
cleveland (1) -0.22516556291391
fourclass_scale (1) 0.094076655052265
Amazon_employee_access (1) 0.8914794921875
credit-g (1) 0.56956956956957
monks-problems-1 (1) 0.81621621621622
first-order-theorem-proving (1) 0.36782736635606
credit-a (1) 0.97822931785196
adult (2) 0.63442599455376
bank-marketing (1) 0.84308781243088
vehicle (1) 0.25798816568047
pc3 (1) 0.81434058898848
wall-robot-navigation (1) 0.9275893675527
tic-tac-toe (1) 0.99895506792059
bolts (1) -13.571282051282
profb (1) 0.54545454545455
soybean (1) 0.94574780058651
mfeat-fourier (1) 0.99549774887444
diabetes (1) 0.55019556714472
PhishingWebsites (1) 0.51402207345757
blood-transfusion-service-center (1) 0.73092369477912
cholesterol (1) -58.059602649007
wisconsin (1) -29.740932642487
nomao (1) 0.94832288765088
lowbwt (1) -44.393617021277
MiceProtein (1) 0.9935125115848
abalone (1) 0.20641762452107
cmc (1) 0.99660326086957
one-hundred-plants-texture (1) 0.93804755944931
mozilla4 (1) 0.71307256819352
steel-plates-fault (1) 0.99948453608247
satimage (1) 0.18743194898118
phoneme (1) 0.59189339255969
pendigits (1) 0.10290237467018
pharynx (1) -455.46907216495
sylva_agnostic (1) 0.88495206335973
analcatdata_dmft (1) 0.99371859296482
irish (1) 0.60921843687375
dresses-sales (2) 0.47294589178357
autoPrice (1) -2423.0696202532
breast-w (1) 0.63180515759312
vowel (2) 0
ada_agnostic (1) 0.62639771979829
monks-problems-2 (1) 0.44
cpu_act (1) -14.015504822366
mfeat-pixel (1) 0.99549774887444
cylinder-bands (2) 0.81076066790353
synthetic_control (1) 0.99165275459099
texture (1) 0.99818148754319
analcatdata_authorship (1) 0.99642857142857
mfeat-karhunen (1) 0.99549774887444
GesturePhaseSegmentationProcessed (1) 0.96059562398703
UNIX_user_data (1) 0.99912078250357
sleep (1) -0.47540983606557
quake (1) 0.80418006430868
har (1) 0.96125461254613
kc1 (1) 0.99905123339658
ilpd (1) 0.61340206185567
gas-drift (1) 0.59199079732547
optdigits (1) 0.0925431571454
climate-model-simulation-crashes (1) 0.83858998144712
LED-display-domain-7digit (1) 0.72144288577154
Australian (3) 0.51959361393324
detroit (1) -29.0975
mbagrade (1) 0.66205
micro-mass (2) 0.69824561403509
cnae-9 (1) 0
JapaneseVowels (1) 0.99829317269076
wilt (1) 0.96548160396858
banknote-authentication (1) 0.99927060539752
web_questionsQA (1) 1
anneal (12) 0.60646599777035
anneal (3) 0.60646599777035
anneal (7) 0.60646599777035
TEST801d25f814-pandas_testing_dataset (1) 0.75
anneal (9) 0.60646599777035
anneal (2) 0.60646599777035
anneal (8) 0.60646599777035
anneal (4) 0.60646599777035
anneal (15) 0.60646599777035
anneal (5) 0.60646599777035
anneal (10) 0.60646599777035
anneal (13) 0.60646599777035
anneal (16) 0.60646599777035
anneal (18) 0.60646599777035
anneal (20) 0.60646599777035
anneal (25) 0.60646599777035
anneal (26) 0.60646599777035
anneal (30) 0.60646599777035
anneal (17) 0.60646599777035
anneal (28) 0.60646599777035
anneal (21) 0.60646599777035
anneal (29) 0.60646599777035
TEST89c2b17a26-pandas_testing_dataset (3) 0
anneal (19) 0.60646599777035
anneal (22) 0.60646599777035
anneal (27) 0.60646599777035
anneal (45) 0.60646599777035
anneal (44) 0.60646599777035
TEST2890394040-UploadTestWithURL (1)
anneal (37) 0.60646599777035
anneal (33) 0.60646599777035
anneal (36) 0.60646599777035
anneal (31) 0.60646599777035
anneal (41) 0.60646599777035
anneal (35) 0.60646599777035
anneal (42) 0.60646599777035
anneal (40) 0.60646599777035
anneal (32) 0.60646599777035
anneal (38) 0.60646599777035
TEST8cabf946c0-NumPy_testing_dataset (1) 0
TEST7b2f226605-pandas_testing_dataset (1) 0.75
TEST568d363a3c-XOR (1) 0.33333333333333
anneal (48) 0.60646599777035
anneal (46) 0.60646599777035
anneal (47) 0.60646599777035
anneal (49) 0.040902045102255
TEST4be34d12c3-pandas_testing_dataset (4) 0
TESTa641829158-ModifiedWeather (1) 0.53846153846154
TEST0c30520966-pandas_testing_dataset (1) 0.75
TESTd62c0e4b60-XOR (1) 0.33333333333333
TEST0c30520966-pandas_testing_dataset (3) 0
TEST0c30520966-pandas_testing_dataset (2) 0.33333333333333
TEST4be34d12c3-pandas_testing_dataset (2) 0
TEST4be34d12c3-pandas_testing_dataset (1) 0
TEST4be34d12c3-pandas_testing_dataset (3) 0
TESTdfdb0bfe51-UploadTestWithURL (1)
TESTb27152cdce-UploadTestWithURL (1)
TEST87a869d7ca-NumPy_testing_dataset (1) 0
anneal (63) 0.040902045102255
TEST286a31d2b7-pandas_testing_dataset (1) 0.75
anneal (58) 0.60646599777035
anneal (54) 0.60646599777035
anneal (59) 0.60646599777035
anneal (72) 0.60646599777035
anneal (51) 0.60646599777035
anneal (52) 0.60646599777035
anneal (61) 0.60646599777035
TESTebe5b19bfc-ModifiedWeather (1) 0.53846153846154
anneal (64) 0.60646599777035
TEST0e3d423bd0-pandas_testing_dataset (2) 0
TEST0e3d423bd0-pandas_testing_dataset (4) 0
anneal (55) 0.60646599777035
anneal (56) 0.60646599777035
TEST2b082ed83c-XOR (1) 0.33333333333333
anneal (50) 0.60646599777035
anneal (70) 0.60646599777035
anneal (66) 0.60646599777035
anneal (71) 0.60646599777035
anneal (62) 0.60646599777035
TEST0f4dddfc4c-pandas_testing_dataset (1) 0.75
TEST54ae78076f-XOR (1) 0.33333333333333
anneal (57) 0.60646599777035
anneal (65) 0.60646599777035
TEST0f4dddfc4c-pandas_testing_dataset (3) 0
TESTc04e985a98-pandas_testing_dataset (4) 0
TESTb09ceeb22e-pandas_testing_dataset (3) 0
TEST01f9c4369b-UploadTestWithURL (1)
TESTd75871a154-pandas_testing_dataset (3) 0
TESTc04e985a98-pandas_testing_dataset (3) 0
TEST7924253c2e-XOR (1) 0.33333333333333
TEST39c0d08a63-XOR (1) 0.33333333333333
TESTc04e985a98-pandas_testing_dataset (1) 0
TEST0f4dddfc4c-pandas_testing_dataset (2) 0.33333333333333
TEST0974fd2dfe-UploadTestWithURL (1)
anneal (68) 0.60646599777035
a (1) 0.98657718120805
TESTc04e985a98-pandas_testing_dataset (2) 0
anneal (74) 0.60646599777035
anneal (78) 0.60646599777035
anneal (75) 0.60646599777035
anneal (79) 0.60646599777035
anneal (77) 0.60646599777035
anneal (80) 0.60646599777035
anneal (73) 0.60646599777035
anneal (84) 0.60646599777035
anneal (85) 0.60646599777035
anneal (86) 0.60646599777035
anneal (82) 0.60646599777035
anneal (81) 0.60646599777035
TEST2758567541-NumPy_testing_dataset (1) 0
TEST0e6d9364c5-pandas_testing_dataset (2) 0.33333333333333
TEST3b7d7777a2-UploadTestWithURL (1)
anneal (88) 0.60646599777035
TEST0e6d9364c5-pandas_testing_dataset (1) 0.75
anneal (87) 0.60646599777035
anneal (89) 0.60646599777035
TEST7417b0c99b-XOR (1) 0.33333333333333
TEST0e6d9364c5-pandas_testing_dataset (3) 0
TESTd9516fe564-ModifiedWeather (1) 0.53846153846154
TEST5cf281fa0a-pandas_testing_dataset (1) 0.75
TEST1a993ee3b9-pandas_testing_dataset (4) 0
TESTb3decf7ada-XOR (1) 0.33333333333333
TEST1a993ee3b9-pandas_testing_dataset (3) 0
kr-vs-kp (1) 0.99906103286385
letter (1) 0.040902045102255
anneal (90) 0.040902045102255
TEST1a993ee3b9-pandas_testing_dataset (2) 0
TEST1a993ee3b9-pandas_testing_dataset (1) 0
TESTe8b908c1f0-UploadTestWithURL (1)
TEST625f038baa-NumPy_testing_dataset (1) 0
TESTcc0a4e1f86-pandas_testing_dataset (2) 0
anneal (91) 0.60646599777035
anneal (92) 0.60646599777035
TEST8e0a5cb120-pandas_testing_dataset (1) 0.75
TESTce4e61ee60-ModifiedWeather (1) 0.53846153846154
TESTd9ee3d2622-pandas_testing_dataset (1) 0.75
TESTd9ee3d2622-pandas_testing_dataset (3) 0
TEST2690acac87-XOR (1) 0.33333333333333
TESTcc0a4e1f86-pandas_testing_dataset (4) 0
TEST8c473c3fae-XOR (1) 0.33333333333333
TESTd9ee3d2622-pandas_testing_dataset (2) 0.33333333333333
TEST3f3fe2e5e9-UploadTestWithURL (1)
TESTb178fd1abe-UploadTestWithURL (1)
anneal (93) 0.60646599777035
anneal (95) 0.49386845039019
anneal (94) 0.040902045102255
TESTcc0a4e1f86-pandas_testing_dataset (3) 0
TESTcc0a4e1f86-pandas_testing_dataset (1) 0
TEST278a532fb7-pandas_testing_dataset (3) 0
anneal (96) 0.60646599777035
anneal (97) 0.60646599777035
anneal (104) 0.60646599777035
anneal (105) 0.60646599777035
anneal (106) 0.60646599777035
anneal (109) 0.60646599777035
anneal (100) 0.60646599777035
anneal (108) 0.60646599777035
anneal (99) 0.60646599777035
anneal (107) 0.60646599777035
anneal (101) 0.60646599777035
anneal (98) 0.60646599777035
anneal (110) 0.60646599777035
anneal (112) 0.60646599777035
anneal (116) 0.60646599777035
anneal (114) 0.60646599777035
anneal (113) 0.60646599777035
anneal (111) 0.60646599777035
longley (1) -1223.2666666667
TEST4dde1b9762-NumPy_testing_dataset (1) 0
anneal (119) 0.60646599777035
TESTcb94640c77-pandas_testing_dataset (3) 0
TESTcb94640c77-pandas_testing_dataset (1) 0.75
anneal (120) 0.040902045102255
TEST185c7a5b16-XOR (1) 0.33333333333333
TEST9606275d50-pandas_testing_dataset (1) 0.75
TEST40154d3da0-pandas_testing_dataset (2) 0
anneal (117) 0.60646599777035
anneal (118) 0.60646599777035
TEST40154d3da0-pandas_testing_dataset (3) 0
TESTf300d9cd21-ModifiedWeather (1) 0.53846153846154
TEST40154d3da0-pandas_testing_dataset (4) 0
TEST1aea5d939b-UploadTestWithURL (1)
TEST40154d3da0-pandas_testing_dataset (1) 0
TESTcb94640c77-pandas_testing_dataset (2) 0.33333333333333
TEST2842ce5460-XOR (1) 0.33333333333333
TEST6e3b665d38-UploadTestWithURL (1)
anneal (131) 0.60646599777035
iris (1) 0.98657718120805
anneal (129) 0.60646599777035
anneal (121) 0.60646599777035
anneal (122) 0.60646599777035
anneal (130) 0.60646599777035
anneal (125) 0.60646599777035
anneal (132) 0.60646599777035
anneal (133) 0.60646599777035
anneal (134) 0.60646599777035
anneal (123) 0.60646599777035
anneal (126) 0.60646599777035
anneal (124) 0.60646599777035
anneal (1) 0.60646599777035
ThermalPowerConsumptionMarsExpress60 (1)
doa_bwin (1) 0.54442344045369