Measure

PercentageOfSymbolicFeatures

Percentage of nominal attributes.

Value per dataset

jm1 (1) 4.5454545454545
pc1 (1) 4.5454545454545
collins (1) 13.636363636364
Click_prediction_small (5) 10
waveform-5000 (1) 2.4390243902439
qsar-biodeg (1) 2.3809523809524
semeion (1) 0.38910505836576
spambase (1) 1.7241379310345
one-hundred-plants-margin (1) 1.5384615384615
eeg-eye-state (1) 6.6666666666667
balance-scale (1) 20
artificial-characters (1) 12.5
auto_price (1) 6.25
mfeat-zernike (1) 2.0833333333333
eucalyptus (1) 30
segment (1) 5
pbc (1) 42.105263157895
kc2 (1) 4.5454545454545
splice (1) 100
hill-valley (1) 0.99009900990099
sick (1) 76.666666666667
tamilnadu-electricity (1) 50
MagicTelescope (1) 9.0909090909091
delta_elevators (1) 0
madelon (1) 0.19960079840319
mfeat-factors (1) 0.46082949308756
wdbc (1) 3.2258064516129
ozone-level-8hr (1) 1.3698630136986
cardiotocography (1) 2.7777777777778
one-hundred-plants-shape (1) 1.5384615384615
autoMpg (1) 37.5
pol (1) 0
kin8nm (1) 0
gina_agnostic (1) 0.10298661174047
Bioresponse (1) 0.056274620146314
musk (1) 1.1904761904762
monks-problems-3 (1) 100
car (1) 100
diabetes_numeric (1) 0
mushroom (1) 100
iris (2) 20
vineyard (1) 0
iris-challenge (1) 20
triazines (1) 0
isolet (1) 0.16181229773463
cloud (1) 33.333333333333
scene (1) 2
cjs (3) 8.8235294117647
pc4 (1) 2.6315789473684
electricity (1) 22.222222222222
mfeat-morphological (1) 14.285714285714
fruitfly (1) 40
cleveland (1) 50
fourclass_scale (1) 0
Amazon_employee_access (1) 100
credit-g (1) 66.666666666667
monks-problems-1 (1) 100
first-order-theorem-proving (1) 1.9230769230769
credit-a (1) 62.5
adult (2) 60
bank-marketing (1) 58.823529411765
vehicle (1) 5.2631578947368
pc3 (1) 2.6315789473684
wall-robot-navigation (1) 4
tic-tac-toe (1) 100
bolts (1) 0
profb (1) 50
soybean (1) 100
mfeat-fourier (1) 1.2987012987013
diabetes (1) 11.111111111111
PhishingWebsites (1) 100
blood-transfusion-service-center (1) 20
cholesterol (1) 50
wisconsin (1) 0
nomao (1) 25.210084033613
lowbwt (1) 70
MiceProtein (1) 6.0975609756098
abalone (1) 22.222222222222
cmc (1) 80
one-hundred-plants-texture (1) 1.5384615384615
mozilla4 (1) 16.666666666667
steel-plates-fault (1) 2.9411764705882
satimage (1) 2.7027027027027
phoneme (1) 16.666666666667
pendigits (1) 5.8823529411765
pharynx (1) 81.818181818182
sylva_agnostic (1) 0.46082949308756
analcatdata_dmft (1) 100
irish (1) 66.666666666667
dresses-sales (2) 92.307692307692
autoPrice (1) 0
breast-w (1) 10
vowel (2) 23.076923076923
ada_agnostic (1) 2.0408163265306
monks-problems-2 (1) 100
cpu_act (1) 0
mfeat-pixel (1) 100
cylinder-bands (2) 52.631578947368
synthetic_control (1) 1.6393442622951
texture (1) 2.4390243902439
analcatdata_authorship (1) 1.4084507042254
mfeat-karhunen (1) 1.5384615384615
GesturePhaseSegmentationProcessed (1) 3.030303030303
UNIX_user_data (1) 33.333333333333
sleep (1) 0
quake (1) 0
har (1) 0.1779359430605
kc1 (1) 4.5454545454545
ilpd (1) 18.181818181818
gas-drift (1) 0.77519379844961
optdigits (1) 1.5384615384615
climate-model-simulation-crashes (1) 4.7619047619048
LED-display-domain-7digit (1) 12.5
Australian (3) 6.6666666666667
detroit (1) 0
mbagrade (1) 33.333333333333
micro-mass (2) 0.076863950807071
cnae-9 (1) 0.11668611435239
JapaneseVowels (1) 6.6666666666667
wilt (1) 16.666666666667
banknote-authentication (1) 20
web_questionsQA (1) 0
anneal (12) 84.615384615385
anneal (3) 84.615384615385
anneal (7) 84.615384615385
TEST801d25f814-pandas_testing_dataset (1) 50
anneal (9) 84.615384615385
anneal (2) 84.615384615385
anneal (8) 84.615384615385
anneal (4) 84.615384615385
anneal (15) 84.615384615385
anneal (5) 84.615384615385
anneal (10) 84.615384615385
anneal (13) 84.615384615385
anneal (16) 84.615384615385
anneal (18) 84.615384615385
anneal (20) 84.615384615385
anneal (25) 84.615384615385
anneal (26) 84.615384615385
anneal (30) 84.615384615385
anneal (17) 84.615384615385
anneal (28) 84.615384615385
anneal (21) 84.615384615385
anneal (29) 84.615384615385
TEST89c2b17a26-pandas_testing_dataset (3) 100
anneal (19) 84.615384615385
anneal (22) 84.615384615385
anneal (27) 84.615384615385
anneal (45) 84.615384615385
anneal (44) 84.615384615385
TEST2890394040-UploadTestWithURL (1) 20
anneal (37) 84.615384615385
anneal (33) 84.615384615385
anneal (36) 84.615384615385
anneal (31) 84.615384615385
anneal (41) 84.615384615385
anneal (35) 84.615384615385
anneal (42) 84.615384615385
anneal (40) 84.615384615385
anneal (32) 84.615384615385
anneal (38) 84.615384615385
TEST8cabf946c0-NumPy_testing_dataset (1) 0
TEST7b2f226605-pandas_testing_dataset (1) 25
TEST568d363a3c-XOR (1) 0
anneal (48) 84.615384615385
anneal (46) 84.615384615385
anneal (47) 84.615384615385
anneal (49) 5.8823529411765
TEST4be34d12c3-pandas_testing_dataset (4) 0
TESTa641829158-ModifiedWeather (1) 50
TEST0c30520966-pandas_testing_dataset (1) 50
TESTd62c0e4b60-XOR (1) 0
TEST0c30520966-pandas_testing_dataset (3) 100
TEST0c30520966-pandas_testing_dataset (2) 0
TEST4be34d12c3-pandas_testing_dataset (2) 0
TEST4be34d12c3-pandas_testing_dataset (1) 0
TEST4be34d12c3-pandas_testing_dataset (3) 0
TESTdfdb0bfe51-UploadTestWithURL (1) 20
TESTb27152cdce-UploadTestWithURL (1) 20
TEST87a869d7ca-NumPy_testing_dataset (1) 0
anneal (63) 5.8823529411765
TEST286a31d2b7-pandas_testing_dataset (1) 25
anneal (58) 84.615384615385
anneal (54) 84.615384615385
anneal (59) 84.615384615385
anneal (72) 84.615384615385
anneal (51) 84.615384615385
anneal (52) 84.615384615385
anneal (61) 84.615384615385
TESTebe5b19bfc-ModifiedWeather (1) 50
anneal (64) 84.615384615385
TEST0e3d423bd0-pandas_testing_dataset (2) 0
TEST0e3d423bd0-pandas_testing_dataset (4) 0
anneal (55) 84.615384615385
anneal (56) 84.615384615385
TEST2b082ed83c-XOR (1) 0
anneal (50) 84.615384615385
anneal (70) 84.615384615385
anneal (66) 84.615384615385
anneal (71) 84.615384615385
anneal (62) 84.615384615385
TEST0f4dddfc4c-pandas_testing_dataset (1) 50
TEST54ae78076f-XOR (1) 0
anneal (57) 84.615384615385
anneal (65) 84.615384615385
TEST0f4dddfc4c-pandas_testing_dataset (3) 100
TESTc04e985a98-pandas_testing_dataset (4) 0
TESTb09ceeb22e-pandas_testing_dataset (3) 100
TEST01f9c4369b-UploadTestWithURL (1) 20
TESTd75871a154-pandas_testing_dataset (3) 100
TESTc04e985a98-pandas_testing_dataset (3) 0
TEST7924253c2e-XOR (1) 0
TEST39c0d08a63-XOR (1) 0
TESTc04e985a98-pandas_testing_dataset (1) 0
TEST0f4dddfc4c-pandas_testing_dataset (2) 0
TEST0974fd2dfe-UploadTestWithURL (1) 20
anneal (68) 84.615384615385
a (1) 25
TESTc04e985a98-pandas_testing_dataset (2) 0
anneal (74) 84.615384615385
anneal (78) 84.615384615385
anneal (75) 84.615384615385
anneal (79) 84.615384615385
anneal (77) 84.615384615385
anneal (80) 84.615384615385
anneal (73) 84.615384615385
anneal (84) 84.615384615385
anneal (85) 84.615384615385
anneal (86) 84.615384615385
anneal (82) 84.615384615385
anneal (81) 84.615384615385
TEST2758567541-NumPy_testing_dataset (1) 0
TEST0e6d9364c5-pandas_testing_dataset (2) 0
TEST3b7d7777a2-UploadTestWithURL (1) 20
anneal (88) 84.615384615385
TEST0e6d9364c5-pandas_testing_dataset (1) 50
anneal (87) 84.615384615385
anneal (89) 84.615384615385
TEST7417b0c99b-XOR (1) 0
TEST0e6d9364c5-pandas_testing_dataset (3) 100
TESTd9516fe564-ModifiedWeather (1) 50
TEST5cf281fa0a-pandas_testing_dataset (1) 25
TEST1a993ee3b9-pandas_testing_dataset (4) 0
TESTb3decf7ada-XOR (1) 0
TEST1a993ee3b9-pandas_testing_dataset (3) 0
kr-vs-kp (1) 100
letter (1) 5.8823529411765
anneal (90) 5.8823529411765
TEST1a993ee3b9-pandas_testing_dataset (2) 0
TEST1a993ee3b9-pandas_testing_dataset (1) 0
TESTe8b908c1f0-UploadTestWithURL (1) 20
TEST625f038baa-NumPy_testing_dataset (1) 0
TESTcc0a4e1f86-pandas_testing_dataset (2) 0
anneal (91) 84.615384615385
anneal (92) 84.615384615385
TEST8e0a5cb120-pandas_testing_dataset (1) 25
TESTce4e61ee60-ModifiedWeather (1) 50
TESTd9ee3d2622-pandas_testing_dataset (1) 50
TESTd9ee3d2622-pandas_testing_dataset (3) 100
TEST2690acac87-XOR (1) 0
TESTcc0a4e1f86-pandas_testing_dataset (4) 0
TEST8c473c3fae-XOR (1) 0
TESTd9ee3d2622-pandas_testing_dataset (2) 0
TEST3f3fe2e5e9-UploadTestWithURL (1) 20
TESTb178fd1abe-UploadTestWithURL (1) 20
anneal (93) 84.615384615385
anneal (95) 84.615384615385
anneal (94) 5.8823529411765
TESTcc0a4e1f86-pandas_testing_dataset (3) 0
TESTcc0a4e1f86-pandas_testing_dataset (1) 0
TEST278a532fb7-pandas_testing_dataset (3) 100
anneal (96) 84.615384615385
anneal (97) 84.615384615385
anneal (104) 84.615384615385
anneal (105) 84.615384615385
anneal (106) 84.615384615385
anneal (109) 84.615384615385
anneal (100) 84.615384615385
anneal (108) 84.615384615385
anneal (99) 84.615384615385
anneal (107) 84.615384615385
anneal (101) 84.615384615385
anneal (98) 84.615384615385
anneal (110) 84.615384615385
anneal (112) 84.615384615385
anneal (116) 84.615384615385
anneal (114) 84.615384615385
anneal (113) 84.615384615385
anneal (111) 84.615384615385
longley (1) 0
TEST4dde1b9762-NumPy_testing_dataset (1) 0
anneal (119) 84.615384615385
TESTcb94640c77-pandas_testing_dataset (3) 100
TESTcb94640c77-pandas_testing_dataset (1) 50
anneal (120) 5.8823529411765
TEST185c7a5b16-XOR (1) 0
TEST9606275d50-pandas_testing_dataset (1) 25
TEST40154d3da0-pandas_testing_dataset (2) 0
anneal (117) 84.615384615385
anneal (118) 84.615384615385
TEST40154d3da0-pandas_testing_dataset (3) 0
TESTf300d9cd21-ModifiedWeather (1) 50
TEST40154d3da0-pandas_testing_dataset (4) 0
TEST1aea5d939b-UploadTestWithURL (1) 20
TEST40154d3da0-pandas_testing_dataset (1) 0
TESTcb94640c77-pandas_testing_dataset (2) 0
TEST2842ce5460-XOR (1) 0
TEST6e3b665d38-UploadTestWithURL (1) 20
anneal (131) 84.615384615385
iris (1) 20
anneal (129) 84.615384615385
anneal (121) 84.615384615385
anneal (122) 84.615384615385
anneal (130) 84.615384615385
anneal (125) 84.615384615385
anneal (132) 84.615384615385
anneal (133) 84.615384615385
anneal (134) 84.615384615385
anneal (123) 84.615384615385
anneal (126) 84.615384615385
anneal (124) 84.615384615385
anneal (1) 84.615384615385