mbagrade (1) |
|
wdbc (1) |
212 |
vehicle (1) |
199 |
jm1 (1) |
2106 |
cleveland (1) |
|
ada_agnostic (1) |
1132 |
cholesterol (1) |
|
madelon (1) |
1300 |
one-hundred-plants-texture (1) |
15 |
micro-mass (2) |
11 |
mfeat-zernike (1) |
200 |
MagicTelescope (1) |
6688 |
mfeat-karhunen (1) |
200 |
credit-a (1) |
307 |
mushroom (1) |
3916 |
tamilnadu-electricity (1) |
1397 |
Click_prediction_small (5) |
6728 |
isolet (1) |
298 |
cylinder-bands (2) |
228 |
autoMpg (1) |
|
mfeat-morphological (1) |
200 |
pc1 (1) |
77 |
credit-g (1) |
300 |
qsar-biodeg (1) |
356 |
iris-challenge (1) |
31 |
spambase (1) |
1813 |
splice (1) |
767 |
anneal (3) |
8 |
vowel (2) |
90 |
ilpd (1) |
167 |
blood-transfusion-service-center (1) |
178 |
artificial-characters (1) |
600 |
mozilla4 (1) |
5108 |
kc1 (1) |
326 |
fourclass_scale (1) |
|
analcatdata_dmft (1) |
123 |
optdigits (1) |
554 |
GesturePhaseSegmentationProcessed (1) |
998 |
eeg-eye-state (1) |
6723 |
wilt (1) |
261 |
pharynx (1) |
|
kin8nm (1) |
|
gina_agnostic (1) |
1705 |
Amazon_employee_access (1) |
1897 |
sick (1) |
231 |
profb (1) |
224 |
wall-robot-navigation (1) |
328 |
monks-problems-2 (1) |
206 |
wisconsin (1) |
|
triazines (1) |
|
bolts (1) |
|
har (1) |
1406 |
gas-drift (1) |
1641 |
scene (1) |
431 |
mfeat-fourier (1) |
200 |
anneal (2) |
8 |
semeion (1) |
155 |
one-hundred-plants-margin (1) |
16 |
banknote-authentication (1) |
610 |
cardiotocography (1) |
53 |
cloud (1) |
|
adult (2) |
11687 |
climate-model-simulation-crashes (1) |
46 |
a (1) |
50 |
letter (1) |
734 |
Australian (3) |
307 |
tic-tac-toe (1) |
332 |
mfeat-pixel (1) |
200 |
MiceProtein (1) |
105 |
fruitfly (1) |
|
analcatdata_authorship (1) |
55 |
pc3 (1) |
160 |
autoPrice (1) |
|
auto_price (1) |
|
musk (1) |
1017 |
hill-valley (1) |
606 |
anneal (6) |
8 |
ozone-level-8hr (1) |
160 |
irish (1) |
222 |
electricity (1) |
19237 |
satimage (1) |
625 |
lowbwt (1) |
|
nomao (1) |
9844 |
breast-w (1) |
241 |
monks-problems-3 (1) |
266 |
pbc (1) |
|
delta_elevators (1) |
|
vineyard (1) |
|
texture (1) |
500 |
mfeat-factors (1) |
200 |
eucalyptus (1) |
105 |
pendigits (1) |
1055 |
pc4 (1) |
178 |
UNIX_user_data (1) |
484 |
detroit (1) |
|
synthetic_control (1) |
100 |
abalone (1) |
1 |
anneal (5) |
8 |
waveform-5000 (1) |
1653 |
LED-display-domain-7digit (1) |
37 |
steel-plates-fault (1) |
673 |
PhishingWebsites (1) |
4898 |
car (1) |
65 |
a (2) |
50 |
iris (2) |
50 |
cpu_act (1) |
|
anneal (7) |
8 |
anneal (8) |
8 |
anneal (11) |
8 |
anneal (12) |
8 |
anneal (9) |
8 |
anneal (10) |
8 |
anneal (13) |
8 |
TESTd48e654b35-NumPy_testing_dataset (1) |
|
TESTd677a85a70-NumPy_testing_dataset (1) |
|
TESTffdc0bb91d-NumPy_testing_dataset (1) |
|
TESTd134c0172e-NumPy_testing_dataset (1) |
|
TEST14a41b059f-NumPy_testing_dataset (1) |
|
TESTacb94961a7-NumPy_testing_dataset (1) |
|
anneal (15) |
8 |
TESTcd6b36175d-ModifiedWeather (1) |
5 |
TEST79d5120512-XOR (1) |
|
anneal (16) |
8 |
TEST03ae3917f9-pandas_testing_dataset (1) |
2 |
TESTfce9706bd8-pandas_testing_dataset (1) |
|
anneal (20) |
8 |
anneal (25) |
8 |
anneal (64) |
8 |
TESTc236f8668b-pandas_testing_dataset (1) |
|
anneal (52) |
8 |
anneal (23) |
8 |
anneal (51) |
8 |
TEST42f439d59e-ModifiedWeather (1) |
5 |
TEST6cd383bd36-pandas_testing_dataset (3) |
1 |
TESTb73fca9dea-pandas_testing_dataset (3) |
1 |
TEST1c031057be-XOR (1) |
|
anneal (69) |
8 |
anneal (37) |
8 |
anneal (28) |
8 |
TEST68b8719aa6-pandas_testing_dataset (3) |
1 |
anneal (54) |
8 |
TEST497883d61c-XOR (1) |
|
anneal (61) |
8 |
anneal (77) |
8 |
anneal (68) |
8 |
TESTfb8c9dda6b-pandas_testing_dataset (1) |
|
TEST12cee25e4e-ModifiedWeather (1) |
5 |
TESTfb357f8e8d-ModifiedWeather (1) |
5 |
TEST24233797e6-XOR (1) |
|
TESTb1d41eaa75-XOR (1) |
|
anneal (63) |
8 |
TESTc236f8668b-pandas_testing_dataset (2) |
|
anneal (21) |
8 |
TEST63cf2e1fbd-pandas_testing_dataset (4) |
|
anneal (58) |
8 |
TESTfb8c9dda6b-pandas_testing_dataset (3) |
|
anneal (76) |
8 |
TEST2ea13bc990-pandas_testing_dataset (3) |
1 |
anneal (18) |
8 |
anneal (101) |
8 |
anneal (47) |
8 |
anneal (89) |
8 |
anneal (14) |
8 |
TEST0ce86503a9-XOR (1) |
|
anneal (26) |
8 |
anneal (45) |
8 |
anneal (60) |
8 |
anneal (39) |
8 |
anneal (106) |
8 |
anneal (86) |
8 |
anneal (31) |
8 |
anneal (78) |
8 |
TEST843467ee18-XOR (1) |
|
anneal (67) |
8 |
TEST95346f9559-pandas_testing_dataset (3) |
|
TEST15ca9f322a-pandas_testing_dataset (3) |
1 |
anneal (100) |
8 |
anneal (107) |
8 |
TESTfd7b579d2e-UploadTestWithURL (1) |
|
anneal (44) |
8 |
anneal (22) |
8 |
anneal (96) |
8 |
anneal (84) |
8 |
TEST03ae3917f9-pandas_testing_dataset (3) |
1 |
TEST95346f9559-pandas_testing_dataset (2) |
|
TEST2ea13bc990-pandas_testing_dataset (1) |
2 |
TEST2ea13bc990-pandas_testing_dataset (2) |
|
anneal (30) |
8 |
TESTf376696645-ModifiedWeather (1) |
5 |
anneal (34) |
8 |
TEST6ca4501805-pandas_testing_dataset (1) |
2 |
anneal (88) |
8 |
anneal (36) |
8 |
anneal (94) |
8 |
anneal (72) |
8 |
TESTe23b3943e2-XOR (1) |
|
TESTc682124a7c-pandas_testing_dataset (3) |
1 |
TEST15ca9f322a-pandas_testing_dataset (1) |
2 |
TEST17559f05ba-XOR (1) |
|
anneal (90) |
8 |
TEST06a78f9b67-pandas_testing_dataset (2) |
|
anneal (35) |
8 |
anneal (41) |
8 |
anneal (32) |
8 |
TESTfb8c9dda6b-pandas_testing_dataset (2) |
|
TEST6cd383bd36-pandas_testing_dataset (2) |
|
TEST09797384d7-pandas_testing_dataset (2) |
|
TESTfb8c9dda6b-pandas_testing_dataset (4) |
|
TESTc236f8668b-pandas_testing_dataset (3) |
|
TESTb73fca9dea-pandas_testing_dataset (2) |
|
anneal (19) |
8 |
TESTc31b13a56a-XOR (1) |
|
anneal (75) |
8 |
anneal (73) |
8 |
anneal (55) |
8 |
TESTe3a1b5909b-pandas_testing_dataset (1) |
2 |
TEST15ca9f322a-pandas_testing_dataset (2) |
|
TEST63cf2e1fbd-pandas_testing_dataset (2) |
|
TEST09797384d7-pandas_testing_dataset (3) |
|
TEST63cf2e1fbd-pandas_testing_dataset (1) |
|
TEST95346f9559-pandas_testing_dataset (1) |
|
TESTbd626c29c8-XOR (1) |
|
anneal (95) |
8 |
TEST06a78f9b67-pandas_testing_dataset (4) |
|
anneal (33) |
8 |
TEST95346f9559-pandas_testing_dataset (4) |
|
anneal (59) |
8 |
anneal (99) |
8 |
anneal (82) |
8 |
TEST6cd383bd36-pandas_testing_dataset (1) |
2 |
TEST257d57cd52-XOR (1) |
|
TEST09797384d7-pandas_testing_dataset (4) |
|
TEST06a78f9b67-pandas_testing_dataset (3) |
|
TESTad9ec77a46-UploadTestWithURL (1) |
|
anneal (62) |
8 |
TEST06a78f9b67-pandas_testing_dataset (1) |
|
anneal (53) |
8 |
anneal (93) |
8 |
anneal (65) |
8 |
anneal (38) |
8 |
anneal (42) |
8 |
anneal (66) |
8 |
TEST09797384d7-pandas_testing_dataset (1) |
|
TESTb73fca9dea-pandas_testing_dataset (1) |
2 |
anneal (29) |
8 |
anneal (24) |
8 |
anneal (102) |
8 |
anneal (97) |
8 |
anneal (70) |
734 |
TESTb3cf06a12a-ModifiedWeather (1) |
5 |
TEST6ca4501805-pandas_testing_dataset (2) |
|
TESTc236f8668b-pandas_testing_dataset (4) |
|
TESTa7fbefc142-pandas_testing_dataset (2) |
|
TEST63cf2e1fbd-pandas_testing_dataset (3) |
|
TEST03ae3917f9-pandas_testing_dataset (2) |
|
anneal (56) |
8 |
anneal (103) |
8 |
anneal (108) |
412 |
anneal (109) |
412 |
TEST6ca4501805-pandas_testing_dataset (3) |
1 |
Bioresponse (1) |
1717 |
cjs (3) |
274 |
dresses-sales (2) |
210 |
pol (1) |
|
sleep (1) |
|
diabetes_numeric (1) |
|
soybean (1) |
8 |
JapaneseVowels (1) |
782 |
first-order-theorem-proving (1) |
486 |
one-hundred-plants-shape (1) |
16 |
cmc (1) |
333 |
cnae-9 (1) |
120 |
segment (1) |
330 |
monks-problems-1 (1) |
278 |
sylva_agnostic (1) |
886 |
bank-marketing (1) |
5289 |
phoneme (1) |
1586 |
anneal (115) |
8 |
anneal (112) |
412 |
quake (1) |
|
collins (1) |
6 |
kc2 (1) |
107 |
diabetes (1) |
268 |
kr-vs-kp (1) |
1527 |
balance-scale (1) |
49 |
anneal (120) |
8 |
anneal (122) |
8 |
anneal (116) |
8 |
anneal (129) |
8 |
anneal (118) |
8 |
anneal (111) |
412 |
Weather (1) |
5 |
anneal (124) |
8 |
Weather (2) |
5 |
anneal (126) |
8 |
XOR (1) |
|
anneal (119) |
8 |
anneal (130) |
8 |
anneal (125) |
8 |
anneal (113) |
8 |
anneal (121) |
8 |
anneal (123) |
412 |
Diabetes(scikit-learn) (1) |
|
XOR (2) |
|
anneal (117) |
8 |
anneal (128) |
8 |
anneal (132) |
412 |
anneal (110) |
412 |
anneal (131) |
412 |
iris (1) |
50 |
anneal (1) |
8 |
longley (1) |
|