Measure

AutoCorrelation

Average class difference between consecutive instances.

Value per dataset

credit-g (1) 0.56956956956957
pc1 (1) 0.99819494584838
first-order-theorem-proving (1) 0.36782736635606
hill-valley (1) 0.50949628406276
mushroom (1) 0.72633263572572
pc3 (1) 0.81434058898848
steel-plates-fault (1) 0.99948453608247
madelon (1) 0.5105809926895
phoneme (1) 0.59189339255969
vineyard (1) -1.1764705882353
isolet (1) 0.30002565418163
synthetic_control (1) 0.99165275459099
abalone (1) 0.20641762452107
mfeat-fourier (1) 0.99549774887444
mozilla4 (1) 0.71307256819352
cylinder-bands (2) 0.81076066790353
spambase (1) 0.99978260869565
banknote-authentication (1) 0.99927060539752
MiceProtein (1) 0.9935125115848
adult (2) 0.63442599455376
MagicTelescope (1) 0.99994742100005
pbc (1) -1003.4172661871
fourclass_scale (1) 0.094076655052265
mfeat-morphological (1) 0.99549774887444
bolts (1) -13.571282051282
pharynx (1) -455.46907216495
diabetes_numeric (1) 0.19761904761905
pendigits (1) 0.10290237467018
anneal (7) 0.60646599777035
semeion (1) 0.92525125628141
satimage (1) 0.18743194898118
vehicle (1) 0.25798816568047
GesturePhaseSegmentationProcessed (1) 0.96059562398703
wilt (1) 0.96548160396858
electricity (1) 0.85330273002141
breast-w (1) 0.63180515759312
musk (1) 0.99984841594664
anneal (6) 0.60646599777035
profb (1) 0.54545454545455
jm1 (1) 0.99981624402793
anneal (3) 0.60646599777035
anneal (17) 0.60646599777035
autoPrice (1) -2423.0696202532
cleveland (1) -0.22516556291391
cardiotocography (1) 0.608
scene (1) 0.98462177888612
ilpd (1) 0.61340206185567
mfeat-zernike (1) 0.99549774887444
wisconsin (1) -29.740932642487
anneal (15) 0.60646599777035
anneal (22) 0.60646599777035
car (1) 0.59930515344528
cnae-9 (1) 0
gina_agnostic (1) 0.50014421690222
kin8nm (1) 0.70217177769186
iris (2) 0.98657718120805
delta_elevators (1) 0.99717276166456
qsar-biodeg (1) 0.99715370018975
monks-problems-1 (1) 0.81621621621622
anneal (14) 0.60646599777035
texture (1) 0.99818148754319
lowbwt (1) -44.393617021277
anneal (2) 0.60646599777035
Australian (3) 0.51959361393324
eucalyptus (1) 0.39319727891156
one-hundred-plants-shape (1) 0.93808630393996
analcatdata_dmft (1) 0.99371859296482
anneal (34) 0.60646599777035
anneal (29) 0.60646599777035
anneal (23) 0.60646599777035
pol (1) -39.418694579639
mbagrade (1) 0.66205
Amazon_employee_access (1) 0.8914794921875
letter (1) 0.040902045102255
one-hundred-plants-texture (1) 0.93804755944931
TEST1c848ab209-pandas_testing_dataset (3) 0
PhishingWebsites (1) 0.51402207345757
detroit (1) -29.0975
sylva_agnostic (1) 0.88495206335973
anneal (28) 0.60646599777035
anneal (53) 0.60646599777035
tamilnadu-electricity (1) 0.99958497160332
iris-challenge (1) 0.77852348993289
cholesterol (1) -58.059602649007
anneal (41) 0.60646599777035
anneal (10) 0.60646599777035
anneal (35) 0.60646599777035
wdbc (1) 0.625
anneal (43) 0.60646599777035
anneal (60) 0.60646599777035
TESTebb33ef4fa-XOR (1) 0.33333333333333
anneal (44) 0.60646599777035
wall-robot-navigation (1) 0.9275893675527
anneal (25) 0.60646599777035
TEST29f9ae6987-XOR (1) 0.33333333333333
TEST45d04efa45-NumPy_testing_dataset (1) 0
har (1) 0.96125461254613
Bioresponse (1) 0.49626666666667
artificial-characters (1) 0.99823823040031
anneal (51) 0.60646599777035
TEST0a3f20a3a8-pandas_testing_dataset (3) 0
anneal (37) 0.60646599777035
anneal (61) 0.60646599777035
anneal (8) 0.60646599777035
vowel (2) 0
nomao (1) 0.94832288765088
anneal (5) 0.60646599777035
anneal (87) 0.60646599777035
TESTc16ac7f367-pandas_testing_dataset (3) 0
anneal (62) 0.60646599777035
anneal (73) 0.60646599777035
anneal (65) 0.60646599777035
pc4 (1) 0.78037062457104
TEST861d5ffaea-XOR (1) 0.33333333333333
anneal (77) 0.60646599777035
anneal (59) 0.60646599777035
anneal (74) 0.60646599777035
gas-drift (1) 0.59199079732547
anneal (4) 0.60646599777035
LED-display-domain-7digit (1) 0.72144288577154
anneal (32) 0.60646599777035
anneal (9) 0.60646599777035
optdigits (1) 0.0925431571454
anneal (13) 0.60646599777035
mfeat-karhunen (1) 0.99549774887444
anneal (39) 0.60646599777035
anneal (55) 0.60646599777035
anneal (90) 0.60646599777035
JapaneseVowels (1) 0.99829317269076
anneal (38) 0.60646599777035
anneal (36) 0.60646599777035
anneal (71) 0.60646599777035
anneal (88) 0.60646599777035
anneal (19) 0.60646599777035
anneal (49) 0.60646599777035
anneal (93) 0.60646599777035
anneal (26) 0.60646599777035
anneal (72) 0.60646599777035
anneal (18) 0.60646599777035
anneal (33) 0.60646599777035
TESTe362efe811-NumPy_testing_dataset (1) 0
TESTa3c33b29f3-NumPy_testing_dataset (1) 0
anneal (69) 0.60646599777035
anneal (56) 0.60646599777035
anneal (126) 0.60646599777035
sleep (1) -0.47540983606557
anneal (89) 0.60646599777035
anneal (42) 0.60646599777035
anneal (100) 0.60646599777035
monks-problems-2 (1) 0.44
anneal (115) 0.60646599777035
mfeat-factors (1) 0.99549774887444
anneal (91) 0.60646599777035
anneal (119) 0.60646599777035
TEST9103715299-pandas_testing_dataset (2) 0.33333333333333
TESTd7c026de3b-NumPy_testing_dataset (1) 0
TEST9c0ef09dd8-NumPy_testing_dataset (1) 0
sick (1) 0.88650225404402
anneal (111) 0.60646599777035
anneal (40) 0.60646599777035
anneal (132) 0.60646599777035
anneal (103) 0.60646599777035
anneal (133) 0.60646599777035
TEST1c3062c843-pandas_testing_dataset (3) 0
anneal (67) 0.60646599777035
anneal (95) 0.60646599777035
anneal (76) 0.60646599777035
anneal (144) 0.60646599777035
fruitfly (1) -16.653225806452
anneal (16) 0.60646599777035
anneal (27) 0.60646599777035
TESTfab02098c0-pandas_testing_dataset (2) 0
splice (1) 0.99937284415177
anneal (147) 0.60646599777035
one-hundred-plants-margin (1) 0.93808630393996
anneal (80) 0.60646599777035
anneal (104) 0.60646599777035
TEST44eb4b8b3f-XOR (1) 0.33333333333333
anneal (97) 0.60646599777035
anneal (70) 0.60646599777035
anneal (125) 0.60646599777035
anneal (113) 0.60646599777035
ozone-level-8hr (1) 0.91551519936834
TESTb5b3545d7e-pandas_testing_dataset (3) 0
anneal (24) 0.60646599777035
TEST00a13efce9-pandas_testing_dataset (1) 0
triazines (1) 0.83311891891892
anneal (107) 0.60646599777035
anneal (173) 0.60646599777035
TESTfab02098c0-pandas_testing_dataset (3) 0
anneal (99) 0.60646599777035
anneal (176) 0.60646599777035
dresses-sales (2) 0.47294589178357
TESTa86b01f9a8-pandas_testing_dataset (3) 0
anneal (159) 0.60646599777035
anneal (158) 0.60646599777035
anneal (165) 0.60646599777035
TEST495d1e52d8-pandas_testing_dataset (1) 0.75
climate-model-simulation-crashes (1) 0.83858998144712
anneal (94) 0.60646599777035
anneal (146) 0.60646599777035
anneal (181) 0.60646599777035
anneal (178) 0.60646599777035
anneal (129) 0.60646599777035
anneal (131) 0.60646599777035
anneal (163) 0.60646599777035
TEST9b06efad03-pandas_testing_dataset (1) 0.75
TEST6abd679a4e-ModifiedWeather (1) 0.53846153846154
TEST388a9defc1-pandas_testing_dataset (4) 0
TEST84e16ea643-UploadTestWithURL (1)
mfeat-pixel (1) 0.99549774887444
anneal (105) 0.60646599777035
micro-mass (2) 0.69824561403509
anneal (148) 0.60646599777035
TESTd4a9ca9c2d-pandas_testing_dataset (3) 0
cmc (1) 0.99660326086957
TESTca4a634324-ModifiedWeather (1) 0.53846153846154
anneal (160) 0.60646599777035
anneal (136) 0.60646599777035
anneal (140) 0.60646599777035
anneal (121) 0.60646599777035
TEST5e105f0c38-pandas_testing_dataset (1) 0.75
anneal (164) 0.60646599777035
TEST78cf97e1d2-pandas_testing_dataset (3) 0
anneal (182) 0.60646599777035
TESTd746086797-XOR (1) 0.33333333333333
anneal (75) 0.60646599777035
anneal (112) 0.60646599777035
anneal (47) 0.60646599777035
anneal (153) 0.60646599777035
TEST9d1aa3a77e-XOR (1) 0.33333333333333
TEST495d1e52d8-pandas_testing_dataset (3) 0
TESTe3d8d93ab0-pandas_testing_dataset (3) 0
TEST0a395eb24e-XOR (1) 0.33333333333333
TEST5e105f0c38-pandas_testing_dataset (2) 0.33333333333333
cjs (3) 0.99821109123435
anneal (123) 0.60646599777035
TEST104676cb6a-pandas_testing_dataset (3) 0
anneal (201) 0.60646599777035
TEST2c4f0b6c26-pandas_testing_dataset (2) 0.33333333333333
anneal (155) 0.60646599777035
anneal (194) 0.60646599777035
anneal (167) 0.60646599777035
anneal (171) 0.60646599777035
anneal (162) 0.60646599777035
anneal (135) 0.60646599777035
anneal (223) 0.60646599777035
TESTdd0a5ebb6e-pandas_testing_dataset (2) 0
anneal (106) 0.60646599777035
TESTfab02098c0-pandas_testing_dataset (4) 0
anneal (161) 0.60646599777035
anneal (143) 0.60646599777035
anneal (197) 0.60646599777035
anneal (199) 0.60646599777035
anneal (137) 0.60646599777035
anneal (154) 0.60646599777035
anneal (134) 0.60646599777035
auto_price (1) -2423.0696202532
TEST104676cb6a-pandas_testing_dataset (4) 0
TESTd66c82a86b-ModifiedWeather (1) 0.53846153846154
TEST9b06efad03-pandas_testing_dataset (2) 0.33333333333333
kc1 (1) 0.99905123339658
anneal (228) 0.60646599777035
TEST0be3452fe0-pandas_testing_dataset (2) 0.33333333333333
anneal (212) 0.60646599777035
anneal (204) 0.60646599777035
anneal (79) 0.60646599777035
anneal (145) 0.60646599777035
anneal (229) 0.60646599777035
TESTdd0a5ebb6e-pandas_testing_dataset (1) 0
TEST388a9defc1-pandas_testing_dataset (2) 0
TEST104676cb6a-pandas_testing_dataset (1) 0
anneal (218) 0.60646599777035
TESTdd0a5ebb6e-pandas_testing_dataset (3) 0
anneal (198) 0.60646599777035
TEST0be3452fe0-pandas_testing_dataset (3) 0
anneal (98) 0.60646599777035
anneal (12) 0.60646599777035
anneal (214) 0.60646599777035
anneal (120) 0.60646599777035
anneal (209) 0.60646599777035
anneal (256) 0.60646599777035
anneal (110) 0.60646599777035
segment (1) 0.14811606756172
tic-tac-toe (1) 0.99895506792059
anneal (157) 0.60646599777035
TEST5e105f0c38-pandas_testing_dataset (3) 0
anneal (102) 0.60646599777035
anneal (262) 0.60646599777035
anneal (170) 0.60646599777035
TEST6ba4d7daec-XOR (1) 0.33333333333333
anneal (232) 0.60646599777035
anneal (237) 0.60646599777035
anneal (241) 0.60646599777035
anneal (221) 0.60646599777035
TESTc8f1eae46a-XOR (1) 0.33333333333333
TEST44aee7d221-ModifiedWeather (1) 0.53846153846154
TEST495d1e52d8-pandas_testing_dataset (2) 0.33333333333333
TEST2c4f0b6c26-pandas_testing_dataset (1) 0.75
autoMpg (1) -2.8831234256927
anneal (193) 0.60646599777035
anneal (219) 0.60646599777035
TEST2c4f0b6c26-pandas_testing_dataset (3) 0
TEST9103715299-pandas_testing_dataset (3) 0
anneal (208) 0.60646599777035
anneal (255) 0.60646599777035
anneal (203) 0.60646599777035
anneal (253) 0.60646599777035
anneal (270) 0.60646599777035
anneal (63) 0.60646599777035
anneal (210) 0.60646599777035
TEST388a9defc1-pandas_testing_dataset (3) 0
anneal (268) 0.60646599777035
anneal (271) 0.60646599777035
TESTe74389f4b6-XOR (1) 0.33333333333333
anneal (222) 0.60646599777035
anneal (195) 0.60646599777035
anneal (250) 0.60646599777035
anneal (205) 0.60646599777035
anneal (128) 0.60646599777035
anneal (233) 0.60646599777035
anneal (82) 0.60646599777035
TESTf738f069ca-pandas_testing_dataset (4) 0
anneal (225) 0.60646599777035
TESTdd0a5ebb6e-pandas_testing_dataset (4) 0
anneal (184) 0.60646599777035
anneal (68) 0.60646599777035
anneal (236) 0.60646599777035
anneal (186) 0.60646599777035
anneal (191) 0.60646599777035
anneal (166) 0.60646599777035
anneal (247) 0.60646599777035
anneal (248) 0.60646599777035
anneal (269) 0.60646599777035
anneal (11) 0.60646599777035
anneal (92) 0.60646599777035
anneal (267) 0.60646599777035
anneal (226) 0.60646599777035
anneal (257) 0.60646599777035
anneal (190) 0.60646599777035
anneal (263) 0.60646599777035
TESTdd2273bbad-pandas_testing_dataset (3) 0
TESTbdcda46197-pandas_testing_dataset (3) 0
quake (1) 0.80418006430868
TESTcbac53b2c5-XOR (1) 0.33333333333333
anneal (57) 0.60646599777035
TESTb7d5691345-XOR (1) 0.33333333333333
anneal (192) 0.60646599777035
anneal (230) 0.60646599777035
anneal (202) 0.60646599777035
anneal (251) 0.60646599777035
anneal (206) 0.60646599777035
anneal (139) 0.60646599777035
anneal (188) 0.60646599777035
TEST5037c378b1-pandas_testing_dataset (3) 0
TEST388a9defc1-pandas_testing_dataset (1) 0
anneal (152) 0.60646599777035
TEST9b06efad03-pandas_testing_dataset (3) 0
anneal (266) 0.60646599777035
anneal (187) 0.60646599777035
anneal (200) 0.60646599777035
anneal (254) 0.60646599777035
anneal (242) 0.60646599777035
anneal (240) 0.60646599777035
anneal (213) 0.60646599777035
anneal (183) 0.60646599777035
Click_prediction_small (5) 0.71702505820212
anneal (156) 0.60646599777035
TEST2f9e899c65-XOR (1) 0.33333333333333
anneal (246) 0.60646599777035
anneal (151) 0.60646599777035
anneal (52) 0.60646599777035
anneal (109) 0.60646599777035
anneal (215) 0.60646599777035
anneal (261) 0.60646599777035
anneal (168) 0.60646599777035
TEST3620d8fbd0-XOR (1) 0.33333333333333
anneal (258) 0.60646599777035
irish (1) 0.60921843687375
anneal (239) 0.60646599777035
anneal (252) 0.60646599777035
anneal (81) 0.60646599777035
anneal (244) 0.60646599777035
TEST104676cb6a-pandas_testing_dataset (2) 0
TESTc16ac7f367-pandas_testing_dataset (4) 0
TESTfab02098c0-pandas_testing_dataset (1) 0
TEST686a224dce-NumPy_testing_dataset (1) 0
TESTd9d9fd7d25-NumPy_testing_dataset (1) 0
anneal (275) 0.60646599777035
anneal (274) 0.60646599777035
anneal (312) 0.60646599777035
anneal (280) 0.60646599777035
anneal (286) 0.60646599777035
anneal (301) 0.60646599777035
anneal (282) 0.60646599777035
anneal (284) 0.60646599777035
anneal (273) 0.60646599777035
anneal (278) 0.60646599777035
anneal (333) 0.60646599777035
anneal (318) 0.60646599777035
anneal (359) 0.60646599777035
anneal (356) 0.60646599777035
anneal (385) 0.60646599777035
anneal (379) 0.60646599777035
anneal (298) 0.60646599777035
anneal (311) 0.60646599777035
anneal (320) 0.60646599777035
anneal (362) 0.60646599777035
anneal (355) 0.60646599777035
anneal (357) 0.60646599777035
anneal (337) 0.60646599777035
anneal (381) 0.60646599777035
anneal (335) 0.60646599777035
anneal (336) 0.60646599777035
anneal (384) 0.60646599777035
TESTfa348335d3-pandas_testing_dataset (3) 0
anneal (332) 0.60646599777035
anneal (346) 0.60646599777035
anneal (388) 0.60646599777035
anneal (305) 0.60646599777035
anneal (343) 0.60646599777035
anneal (288) 0.60646599777035
TEST8cc5e85751-NumPy_testing_dataset (1) 0
TESTac9aeaed4d-NumPy_testing_dataset (1) 0
TEST9979469476-NumPy_testing_dataset (1) 0
TESTeab6219b30-NumPy_testing_dataset (1) 0
TEST1754c7e9a0-NumPy_testing_dataset (1) 0
TESTdb5c74e29f-NumPy_testing_dataset (1) 0
TEST69c2bc72de-NumPy_testing_dataset (1) 0
TEST845a642017-pandas_testing_dataset (3) 0
TESTef0eb74f84-NumPy_testing_dataset (1) 0
TEST1630749dab-NumPy_testing_dataset (1) 0
TEST5d763b9c7b-NumPy_testing_dataset (1) 0
TESTb481e17c0c-NumPy_testing_dataset (1) 0
TEST373e7a592e-NumPy_testing_dataset (1) 0
TEST696c261dae-NumPy_testing_dataset (1) 0
TEST709fbf11a6-NumPy_testing_dataset (1) 0
TEST9326bc117c-NumPy_testing_dataset (1) 0
anneal (340) 0.60646599777035
anneal (374) 0.60646599777035
anneal (372) 0.60646599777035
anneal (371) 0.60646599777035
TEST5b30e679ed-pandas_testing_dataset (1) 0
anneal (383) 0.60646599777035
anneal (358) 0.60646599777035
anneal (395) 0.60646599777035
TEST6f97db9a3e-ModifiedWeather (1) 0.53846153846154
anneal (290) 0.60646599777035
anneal (324) 0.60646599777035
TEST5b30e679ed-pandas_testing_dataset (4) 0
TEST7dc1ecdb15-XOR (1) 0.33333333333333
anneal (354) 0.60646599777035
TEST4c0b43d243-NumPy_testing_dataset (1) 0
anneal (303) 0.60646599777035
anneal (319) 0.60646599777035
anneal (334) 0.60646599777035
anneal (405) 0.60646599777035
anneal (404) 0.60646599777035
anneal (308) 0.60646599777035
anneal (398) 0.60646599777035
anneal (291) 0.60646599777035
TEST6dc49fc872-pandas_testing_dataset (2) 0.33333333333333
anneal (402) 0.60646599777035
TEST5762ea99d9-NumPy_testing_dataset (1) 0
TEST9f2e86c17c-NumPy_testing_dataset (1) 0
TEST20fa0d5740-NumPy_testing_dataset (1) 0
TEST14d83bd532-NumPy_testing_dataset (1) 0
TESTb410f44fd0-pandas_testing_dataset (3) 0
TESTfa3f0e260a-NumPy_testing_dataset (1) 0
TEST1853b1fe4e-NumPy_testing_dataset (1) 0
anneal (317) 0.60646599777035
TESTb410f44fd0-pandas_testing_dataset (1) 0
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TESTfaf4d0101e-UploadTestWithURL (1)
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TEST3a4227bfcf-UploadTestWithURL (1)
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TEST801d99e388-pandas_testing_dataset (1) 0.75
TEST42db154452-pandas_testing_dataset (1) 0
TEST22bb448d2d-pandas_testing_dataset (2) 0.33333333333333
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TEST22bb448d2d-pandas_testing_dataset (1) 0.75
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TEST10042ab7a8-pandas_testing_dataset (2) 0.33333333333333
TESTee92ca64e2-pandas_testing_dataset (2) 0.33333333333333
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anneal (929) 0.040902045102255
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TESTb363938353-NumPy_testing_dataset (1) 0
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TEST4bf5cc981c-UploadTestWithURL (1)
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