Measure

PercentageOfSymbolicFeatures

Percentage of nominal attributes.

Value per dataset

credit-g (1) 66.666666666667
pc1 (1) 4.5454545454545
first-order-theorem-proving (1) 1.9230769230769
hill-valley (1) 0.99009900990099
mushroom (1) 100
pc3 (1) 2.6315789473684
steel-plates-fault (1) 2.9411764705882
madelon (1) 0.19960079840319
phoneme (1) 16.666666666667
vineyard (1) 0
isolet (1) 0.16181229773463
synthetic_control (1) 1.6393442622951
abalone (1) 22.222222222222
mfeat-fourier (1) 1.2987012987013
mozilla4 (1) 16.666666666667
cylinder-bands (2) 52.631578947368
spambase (1) 1.7241379310345
banknote-authentication (1) 20
MiceProtein (1) 6.0975609756098
adult (2) 60
MagicTelescope (1) 9.0909090909091
pbc (1) 42.105263157895
fourclass_scale (1) 0
mfeat-morphological (1) 14.285714285714
bolts (1) 0
pharynx (1) 81.818181818182
diabetes_numeric (1) 0
pendigits (1) 5.8823529411765
anneal (7) 84.615384615385
semeion (1) 0.38910505836576
satimage (1) 2.7027027027027
vehicle (1) 5.2631578947368
GesturePhaseSegmentationProcessed (1) 3.030303030303
wilt (1) 16.666666666667
electricity (1) 22.222222222222
breast-w (1) 10
musk (1) 1.1904761904762
anneal (6) 84.615384615385
profb (1) 50
jm1 (1) 4.5454545454545
anneal (3) 84.615384615385
anneal (17) 84.615384615385
autoPrice (1) 0
cleveland (1) 50
cardiotocography (1) 2.7777777777778
scene (1) 2
ilpd (1) 18.181818181818
mfeat-zernike (1) 2.0833333333333
wisconsin (1) 0
anneal (15) 84.615384615385
anneal (22) 84.615384615385
car (1) 100
cnae-9 (1) 0.11668611435239
gina_agnostic (1) 0.10298661174047
kin8nm (1) 0
iris (2) 20
delta_elevators (1) 0
qsar-biodeg (1) 2.3809523809524
monks-problems-1 (1) 100
anneal (14) 84.615384615385
texture (1) 2.4390243902439
lowbwt (1) 70
anneal (2) 84.615384615385
Australian (3) 6.6666666666667
eucalyptus (1) 30
one-hundred-plants-shape (1) 1.5384615384615
analcatdata_dmft (1) 100
anneal (34) 84.615384615385
anneal (29) 84.615384615385
anneal (23) 84.615384615385
pol (1) 0
mbagrade (1) 33.333333333333
Amazon_employee_access (1) 100
letter (1) 5.8823529411765
one-hundred-plants-texture (1) 1.5384615384615
TEST1c848ab209-pandas_testing_dataset (3) 100
PhishingWebsites (1) 100
detroit (1) 0
sylva_agnostic (1) 0.46082949308756
anneal (28) 84.615384615385
anneal (53) 84.615384615385
tamilnadu-electricity (1) 50
iris-challenge (1) 20
cholesterol (1) 50
anneal (41) 84.615384615385
anneal (10) 84.615384615385
anneal (35) 84.615384615385
wdbc (1) 3.2258064516129
anneal (43) 84.615384615385
anneal (60) 84.615384615385
TESTebb33ef4fa-XOR (1) 0
anneal (44) 84.615384615385
wall-robot-navigation (1) 4
anneal (25) 84.615384615385
TEST29f9ae6987-XOR (1) 0
TEST45d04efa45-NumPy_testing_dataset (1) 0
har (1) 0.1779359430605
Bioresponse (1) 0.056274620146314
artificial-characters (1) 12.5
anneal (51) 84.615384615385
TEST0a3f20a3a8-pandas_testing_dataset (3) 100
anneal (37) 84.615384615385
anneal (61) 84.615384615385
anneal (8) 84.615384615385
vowel (2) 23.076923076923
nomao (1) 25.210084033613
anneal (5) 84.615384615385
anneal (87) 84.615384615385
TESTc16ac7f367-pandas_testing_dataset (3) 0
anneal (62) 84.615384615385
anneal (73) 84.615384615385
anneal (65) 84.615384615385
pc4 (1) 2.6315789473684
TEST861d5ffaea-XOR (1) 0
anneal (77) 84.615384615385
anneal (59) 84.615384615385
anneal (74) 84.615384615385
gas-drift (1) 0.77519379844961
anneal (4) 84.615384615385
LED-display-domain-7digit (1) 12.5
anneal (32) 84.615384615385
anneal (9) 84.615384615385
optdigits (1) 1.5384615384615
anneal (13) 84.615384615385
mfeat-karhunen (1) 1.5384615384615
anneal (39) 84.615384615385
anneal (55) 84.615384615385
anneal (90) 84.615384615385
JapaneseVowels (1) 6.6666666666667
anneal (38) 84.615384615385
anneal (36) 84.615384615385
anneal (71) 84.615384615385
anneal (88) 84.615384615385
anneal (19) 84.615384615385
anneal (49) 84.615384615385
anneal (93) 84.615384615385
anneal (26) 84.615384615385
anneal (72) 84.615384615385
anneal (18) 84.615384615385
anneal (33) 84.615384615385
TESTe362efe811-NumPy_testing_dataset (1) 0
TESTa3c33b29f3-NumPy_testing_dataset (1) 0
anneal (69) 84.615384615385
anneal (56) 84.615384615385
anneal (126) 84.615384615385
sleep (1) 0
anneal (89) 84.615384615385
anneal (42) 84.615384615385
anneal (100) 84.615384615385
monks-problems-2 (1) 100
anneal (115) 84.615384615385
mfeat-factors (1) 0.46082949308756
anneal (91) 84.615384615385
anneal (119) 84.615384615385
TEST9103715299-pandas_testing_dataset (2) 0
TESTd7c026de3b-NumPy_testing_dataset (1) 0
TEST9c0ef09dd8-NumPy_testing_dataset (1) 0
sick (1) 76.666666666667
anneal (111) 84.615384615385
anneal (40) 84.615384615385
anneal (132) 84.615384615385
anneal (103) 84.615384615385
anneal (133) 84.615384615385
TEST1c3062c843-pandas_testing_dataset (3) 100
anneal (67) 84.615384615385
anneal (95) 84.615384615385
anneal (76) 84.615384615385
anneal (144) 84.615384615385
fruitfly (1) 40
anneal (16) 84.615384615385
anneal (27) 84.615384615385
TESTfab02098c0-pandas_testing_dataset (2) 0
splice (1) 100
anneal (147) 84.615384615385
one-hundred-plants-margin (1) 1.5384615384615
anneal (80) 84.615384615385
anneal (104) 84.615384615385
TEST44eb4b8b3f-XOR (1) 0
anneal (97) 84.615384615385
anneal (70) 84.615384615385
anneal (125) 84.615384615385
anneal (113) 84.615384615385
ozone-level-8hr (1) 1.3698630136986
TESTb5b3545d7e-pandas_testing_dataset (3) 100
anneal (24) 84.615384615385
TEST00a13efce9-pandas_testing_dataset (1) 0
triazines (1) 0
anneal (107) 84.615384615385
anneal (173) 84.615384615385
TESTfab02098c0-pandas_testing_dataset (3) 0
anneal (99) 84.615384615385
anneal (176) 84.615384615385
dresses-sales (2) 92.307692307692
TESTa86b01f9a8-pandas_testing_dataset (3) 100
anneal (159) 84.615384615385
anneal (158) 84.615384615385
anneal (165) 84.615384615385
TEST495d1e52d8-pandas_testing_dataset (1) 50
climate-model-simulation-crashes (1) 4.7619047619048
anneal (94) 84.615384615385
anneal (146) 84.615384615385
anneal (181) 84.615384615385
anneal (178) 84.615384615385
anneal (129) 84.615384615385
anneal (131) 84.615384615385
anneal (163) 84.615384615385
TEST9b06efad03-pandas_testing_dataset (1) 50
TEST6abd679a4e-ModifiedWeather (1) 50
TEST388a9defc1-pandas_testing_dataset (4) 0
TEST84e16ea643-UploadTestWithURL (1) 20
mfeat-pixel (1) 100
anneal (105) 84.615384615385
micro-mass (2) 0.076863950807071
anneal (148) 84.615384615385
TESTd4a9ca9c2d-pandas_testing_dataset (3) 100
cmc (1) 80
TESTca4a634324-ModifiedWeather (1) 50
anneal (160) 84.615384615385
anneal (136) 84.615384615385
anneal (140) 84.615384615385
anneal (121) 84.615384615385
TEST5e105f0c38-pandas_testing_dataset (1) 50
anneal (164) 84.615384615385
TEST78cf97e1d2-pandas_testing_dataset (3) 100
anneal (182) 84.615384615385
TESTd746086797-XOR (1) 0
anneal (75) 84.615384615385
anneal (112) 84.615384615385
anneal (47) 84.615384615385
anneal (153) 84.615384615385
TEST9d1aa3a77e-XOR (1) 0
TEST495d1e52d8-pandas_testing_dataset (3) 100
TESTe3d8d93ab0-pandas_testing_dataset (3) 100
TEST0a395eb24e-XOR (1) 0
TEST5e105f0c38-pandas_testing_dataset (2) 0
cjs (3) 8.8235294117647
anneal (123) 84.615384615385
TEST104676cb6a-pandas_testing_dataset (3) 0
anneal (201) 84.615384615385
TEST2c4f0b6c26-pandas_testing_dataset (2) 0
anneal (155) 84.615384615385
anneal (194) 84.615384615385
anneal (167) 84.615384615385
anneal (171) 84.615384615385
anneal (162) 84.615384615385
anneal (135) 84.615384615385
anneal (223) 84.615384615385
TESTdd0a5ebb6e-pandas_testing_dataset (2) 0
anneal (106) 84.615384615385
TESTfab02098c0-pandas_testing_dataset (4) 0
anneal (161) 84.615384615385
anneal (143) 84.615384615385
anneal (197) 84.615384615385
anneal (199) 84.615384615385
anneal (137) 84.615384615385
anneal (154) 84.615384615385
anneal (134) 84.615384615385
auto_price (1) 6.25
TEST104676cb6a-pandas_testing_dataset (4) 0
TESTd66c82a86b-ModifiedWeather (1) 50
TEST9b06efad03-pandas_testing_dataset (2) 0
kc1 (1) 4.5454545454545
anneal (228) 84.615384615385
TEST0be3452fe0-pandas_testing_dataset (2) 0
anneal (212) 84.615384615385
anneal (204) 84.615384615385
anneal (79) 84.615384615385
anneal (145) 84.615384615385
anneal (229) 84.615384615385
TESTdd0a5ebb6e-pandas_testing_dataset (1) 0
TEST388a9defc1-pandas_testing_dataset (2) 0
TEST104676cb6a-pandas_testing_dataset (1) 0
anneal (218) 84.615384615385
TESTdd0a5ebb6e-pandas_testing_dataset (3) 0
anneal (198) 84.615384615385
TEST0be3452fe0-pandas_testing_dataset (3) 100
anneal (98) 84.615384615385
anneal (12) 84.615384615385
anneal (214) 84.615384615385
anneal (120) 84.615384615385
anneal (209) 84.615384615385
anneal (256) 84.615384615385
anneal (110) 84.615384615385
segment (1) 5
tic-tac-toe (1) 100
anneal (157) 84.615384615385
TEST5e105f0c38-pandas_testing_dataset (3) 100
anneal (102) 84.615384615385
anneal (262) 84.615384615385
anneal (170) 84.615384615385
TEST6ba4d7daec-XOR (1) 0
anneal (232) 84.615384615385
anneal (237) 84.615384615385
anneal (241) 84.615384615385
anneal (221) 84.615384615385
TESTc8f1eae46a-XOR (1) 0
TEST44aee7d221-ModifiedWeather (1) 50
TEST495d1e52d8-pandas_testing_dataset (2) 0
TEST2c4f0b6c26-pandas_testing_dataset (1) 50
autoMpg (1) 37.5
anneal (193) 84.615384615385
anneal (219) 84.615384615385
TEST2c4f0b6c26-pandas_testing_dataset (3) 100
TEST9103715299-pandas_testing_dataset (3) 100
anneal (208) 84.615384615385
anneal (255) 84.615384615385
anneal (203) 84.615384615385
anneal (253) 84.615384615385
anneal (270) 84.615384615385
anneal (63) 84.615384615385
anneal (210) 84.615384615385
TEST388a9defc1-pandas_testing_dataset (3) 0
anneal (268) 84.615384615385
anneal (271) 84.615384615385
TESTe74389f4b6-XOR (1) 0
anneal (222) 84.615384615385
anneal (195) 84.615384615385
anneal (250) 84.615384615385
anneal (205) 84.615384615385
anneal (128) 84.615384615385
anneal (233) 84.615384615385
anneal (82) 84.615384615385
TESTf738f069ca-pandas_testing_dataset (4) 0
anneal (225) 84.615384615385
TESTdd0a5ebb6e-pandas_testing_dataset (4) 0
anneal (184) 84.615384615385
anneal (68) 84.615384615385
anneal (236) 84.615384615385
anneal (186) 84.615384615385
anneal (191) 84.615384615385
anneal (166) 84.615384615385
anneal (247) 84.615384615385
anneal (248) 84.615384615385
anneal (269) 84.615384615385
anneal (11) 84.615384615385
anneal (92) 84.615384615385
anneal (267) 84.615384615385
anneal (226) 84.615384615385
anneal (257) 84.615384615385
anneal (190) 84.615384615385
anneal (263) 84.615384615385
TESTdd2273bbad-pandas_testing_dataset (3) 100
TESTbdcda46197-pandas_testing_dataset (3) 100
quake (1) 0
TESTcbac53b2c5-XOR (1) 0
anneal (57) 84.615384615385
TESTb7d5691345-XOR (1) 0
anneal (192) 84.615384615385
anneal (230) 84.615384615385
anneal (202) 84.615384615385
anneal (251) 84.615384615385
anneal (206) 84.615384615385
anneal (139) 84.615384615385
anneal (188) 84.615384615385
TEST5037c378b1-pandas_testing_dataset (3) 100
TEST388a9defc1-pandas_testing_dataset (1) 0
anneal (152) 84.615384615385
TEST9b06efad03-pandas_testing_dataset (3) 100
anneal (266) 84.615384615385
anneal (187) 84.615384615385
anneal (200) 84.615384615385
anneal (254) 84.615384615385
anneal (242) 84.615384615385
anneal (240) 84.615384615385
anneal (213) 84.615384615385
anneal (183) 84.615384615385
Click_prediction_small (5) 10
anneal (156) 84.615384615385
TEST2f9e899c65-XOR (1) 0
anneal (246) 84.615384615385
anneal (151) 84.615384615385
anneal (52) 84.615384615385
anneal (109) 84.615384615385
anneal (215) 84.615384615385
anneal (261) 84.615384615385
anneal (168) 84.615384615385
TEST3620d8fbd0-XOR (1) 0
anneal (258) 84.615384615385
irish (1) 66.666666666667
anneal (239) 84.615384615385
anneal (252) 84.615384615385
anneal (81) 84.615384615385
anneal (244) 84.615384615385
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) 84.615384615385
anneal (274) 84.615384615385
anneal (312) 84.615384615385
anneal (280) 84.615384615385
anneal (286) 84.615384615385
anneal (301) 84.615384615385
anneal (282) 84.615384615385
anneal (284) 84.615384615385
anneal (273) 84.615384615385
anneal (278) 84.615384615385
anneal (333) 84.615384615385
anneal (318) 84.615384615385
anneal (359) 84.615384615385
anneal (356) 84.615384615385
anneal (385) 84.615384615385
anneal (379) 84.615384615385
anneal (298) 84.615384615385
anneal (311) 84.615384615385
anneal (320) 84.615384615385
anneal (362) 84.615384615385
anneal (355) 84.615384615385
anneal (357) 84.615384615385
anneal (337) 84.615384615385
anneal (381) 84.615384615385
anneal (335) 84.615384615385
anneal (336) 84.615384615385
anneal (384) 84.615384615385
TESTfa348335d3-pandas_testing_dataset (3) 100
anneal (332) 84.615384615385
anneal (346) 84.615384615385
anneal (388) 84.615384615385
anneal (305) 84.615384615385
anneal (343) 84.615384615385
anneal (288) 84.615384615385
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) 100
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) 84.615384615385
anneal (374) 84.615384615385
anneal (372) 84.615384615385
anneal (371) 84.615384615385
TEST5b30e679ed-pandas_testing_dataset (1) 0
anneal (383) 84.615384615385
anneal (358) 84.615384615385
anneal (395) 84.615384615385
TEST6f97db9a3e-ModifiedWeather (1) 50
anneal (290) 84.615384615385
anneal (324) 84.615384615385
TEST5b30e679ed-pandas_testing_dataset (4) 0
TEST7dc1ecdb15-XOR (1) 0
anneal (354) 84.615384615385
TEST4c0b43d243-NumPy_testing_dataset (1) 0
anneal (303) 84.615384615385
anneal (319) 84.615384615385
anneal (334) 84.615384615385
anneal (405) 84.615384615385
anneal (404) 84.615384615385
anneal (308) 84.615384615385
anneal (398) 84.615384615385
anneal (291) 84.615384615385
TEST6dc49fc872-pandas_testing_dataset (2) 0
anneal (402) 84.615384615385
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) 84.615384615385
TESTb410f44fd0-pandas_testing_dataset (1) 0
TEST73227a9287-NumPy_testing_dataset (1) 0
TEST4b2f64fbe2-NumPy_testing_dataset (1) 0
TEST923aba3930-NumPy_testing_dataset (1) 0
TESTd4eaba4faf-NumPy_testing_dataset (1) 0
TEST8376687ab9-NumPy_testing_dataset (1) 0
TEST1bd92afaaf-NumPy_testing_dataset (1) 0
TESTc5c73d43cf-XOR (1) 0
anneal (360) 84.615384615385
anneal (403) 84.615384615385
anneal (277) 84.615384615385
anneal (407) 84.615384615385
TEST5b30e679ed-pandas_testing_dataset (3) 0
anneal (410) 84.615384615385
anneal (361) 84.615384615385
TEST9161e0d711-pandas_testing_dataset (3) 100
TESTeedf1c617e-pandas_testing_dataset (3) 0
TEST58188dfbc6-pandas_testing_dataset (3) 0
TESTa5e33d6c29-pandas_testing_dataset (1) 50
TESTb410f44fd0-pandas_testing_dataset (2) 0
TEST6dc49fc872-pandas_testing_dataset (1) 50
TESTb918af0e2d-pandas_testing_dataset (4) 0
anneal (409) 84.615384615385
anneal (347) 84.615384615385
anneal (295) 84.615384615385
anneal (348) 84.615384615385
TEST0938a9daba-pandas_testing_dataset (3) 100
anneal (287) 84.615384615385
TESTca5628eaef-pandas_testing_dataset (1) 50
anneal (314) 84.615384615385
anneal (408) 84.615384615385
TESTe32c85bc77-NumPy_testing_dataset (1) 0
TESTc9ed3920cd-XOR (1) 0
TESTeedf1c617e-pandas_testing_dataset (2) 0
TESTa5e33d6c29-pandas_testing_dataset (3) 100
TESTa10ede6728-XOR (1) 0
anneal (342) 84.615384615385
TESTeedf1c617e-pandas_testing_dataset (4) 0
TESTb918af0e2d-pandas_testing_dataset (3) 0
anneal (422) 84.615384615385
anneal (296) 84.615384615385
anneal (276) 84.615384615385
anneal (418) 84.615384615385
anneal (304) 84.615384615385
anneal (399) 84.615384615385
TESTdcf231736d-NumPy_testing_dataset (1) 0
TESTebfb1679f3-NumPy_testing_dataset (1) 0
TEST477c3ffd76-NumPy_testing_dataset (1) 0
TESTda611efa8e-NumPy_testing_dataset (1) 0
TESTabf8e3aa19-NumPy_testing_dataset (1) 0
TESTe8c05256ba-NumPy_testing_dataset (1) 0
TEST54963ed87d-NumPy_testing_dataset (1) 0
TESTa5e33d6c29-pandas_testing_dataset (2) 0
TEST448fe87933-NumPy_testing_dataset (1) 0
TESTf918354623-NumPy_testing_dataset (1) 0
TESTd572cf4450-NumPy_testing_dataset (1) 0
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