Measure

MinStdDevOfNumericAtts

Minimum standard deviation of attributes of the numeric type.

Value per dataset

triazines (1) 0
anneal (8) 0.87120828097189
anneal (4) 0.87120828097189
anneal (2) 0.87120828097189
XOR (1) 0.57735026918963
Weather (1) 6.5716674586297
web_questionsQA (1)
anneal (6) 0.87120828097189
anneal (7) 0.87120828097189
Weather (2) 6.5716674586297
TEST9e3886e694-XOR (1) 0.57735026918963
iris (2) 0.43359431136217
anneal (12) 0.87120828097189
anneal (14) 1.54672243632
TESTc7ba0dcb5a-XOR (1) 0.57735026918963
TESTed4a84a4bb-pandas_testing_dataset (2) 0.5
test (6) 0.43359431136217
TEST51ef687b9d-pandas_testing_dataset (2) 0.54772255750517
Diabetes(scikit-learn) (1) 0.047619047619048
anneal (13) 0.87120828097189
TESTb633b550cf-pandas_testing_dataset (1) 5.9833101206606
test (4) 0.43359431136217
TEST51ef687b9d-pandas_testing_dataset (1) 0.54772255750517
TESTed4a84a4bb-pandas_testing_dataset (1) 5.9833101206606
test (3) 0.43359431136217
test (1) 0.43359431136217
test (2) 0.43359431136217
TEST51ef687b9d-pandas_testing_dataset (4) 0.54772255750517
anneal (9) 0.87120828097189
TESTaf99b42041-ModifiedWeather (1) 6.5716674586297
XOR (2) 0.5
test (9) 0.43359431136217
anneal (17) 0.87120828097189
test (7) 0.43359431136217
TESTe216022baf-UploadTestWithURL (1) 0.43359431136217
iris-challenge (1) 0.43359431136217
TEST8facacd8dc-UploadTestWithURL (1) 0.43359431136217
test (10) 0.43359431136217
test (14) 0.43359431136217
test (5) 0.43359431136217
test (13) 0.43359431136217
test (12) 0.43359431136217
TEST51ef687b9d-pandas_testing_dataset (3) 0.54772255750517
TESTed4a84a4bb-pandas_testing_dataset (3)
anneal (3) 0.87120828097189
anneal (23) 0.87120828097189
TEST0ea351d931-pandas_testing_dataset (1) 0.54772255750517
anneal (24) 0.87120828097189
anneal (18) 0.87120828097189
test (11) 0.43359431136217
test (8) 0.43359431136217
cpu_act (1) 2.4794934268871
anneal (26) 0.87120828097189
anneal (27) 0.87120828097189
anneal (39) 0.87120828097189
anneal (43) 0.87120828097189
anneal (63) 0.87120828097189
test (16) 0.43359431136217
TEST840571e677-pandas_testing_dataset (1) 5.9833101206606
anneal (58) 0.87120828097189
Weather (6) 6.5716674586297
anneal (62) 0.87120828097189
anneal (30) 0.87120828097189
test (24) 0.43359431136217
test (20) 0.43359431136217
anneal (66) 0.87120828097189
anneal (34) 0.87120828097189
anneal (38) 0.87120828097189
anneal (41) 0.87120828097189
Weather (3) 6.5716674586297
XOR (4) 0.5
Weather (4) 6.5716674586297
Weather (8) 6.5716674586297
test (19) 0.43359431136217
test (21) 0.43359431136217
Diabetes(scikit-learn) (3) 0.047619047619048
XOR (3) 0.57735026918963
anneal (48) 0.87120828097189
XOR (6) 0.5
test (27) 0.43359431136217
XOR (5) 0.57735026918963
bolts (1) 0.45291081365784
spambase (1) 0.076274270637249
anneal (49) 0.87120828097189
test (33) 0.43359431136217
anneal (32) 0.87120828097189
anneal (45) 0.87120828097189
anneal (16) 0.87120828097189
anneal (57) 0.87120828097189
Weather (5) 6.5716674586297
test (26) 0.43359431136217
XOR (7) 0.57735026918963
test (36) 0.43359431136217
test (23) 0.43359431136217
anneal (59) 0.87120828097189
test (28) 0.43359431136217
anneal (42) 0.87120828097189
anneal (33) 0.87120828097189
test (15) 0.43359431136217
anneal (37) 0.87120828097189
anneal (53) 0.87120828097189
anneal (25) 0.87120828097189
anneal (56) 0.87120828097189
test (39) 0.43359431136217
TEST2fe1e97c97-pandas_testing_dataset (1) 0.54772255750517
test (35) 0.43359431136217
test (29) 0.43359431136217
test (31) 0.43359431136217
anneal (52) 0.87120828097189
Diabetes(scikit-learn) (4) 0.047619047619048
anneal (54) 0.87120828097189
Weather (7) 6.5716674586297
test (22) 0.43359431136217
test (38) 0.43359431136217
test (32) 0.43359431136217
test (18) 0.43359431136217
Diabetes(scikit-learn) (2) 0.047619047619048
vineyard (1) 1.938802595748
pol (1) 0
anneal (31) 0.87120828097189
Weather (9) 6.5716674586297
Diabetes(scikit-learn) (5) 0.047619047619048
TESTccda34c750-pandas_testing_dataset (1) 5.9833101206606
cnae-9 (1) 0.030429030972509
one-hundred-plants-margin (1) 0.001498240814741
anneal (74) 0.87120828097189
Weather (11) 6.5716674586297
anneal (61) 0.87120828097189
test (17) 0.43359431136217
TEST22dd0ebd9b-ModifiedWeather (1) 6.5716674586297
anneal (36) 0.87120828097189
test (43) 0.43359431136217
XOR (9) 0.57735026918963
anneal (89) 0.87120828097189
TESTee7d03de92-pandas_testing_dataset (1) 5.9833101206606
anneal (77) 0.87120828097189
anneal (84) 0.87120828097189
TEST76d8cfa095-pandas_testing_dataset (1) 0.54772255750517
XOR (10) 0.5
blood-transfusion-service-center (1) 5.83930712309
autoMpg (1) 2.7576889298127
autoPrice (1) 0.26733562895372
quake (1) 0.18942638883499
pbc (1) 0.42497160577962
TEST5f1dfbd75d-pandas_testing_dataset (1) 0.54772255750517
anneal (95) 0.87120828097189
anneal (80) 0.87120828097189
test (40) 0.43359431136217
TESTda410c34dc-pandas_testing_dataset (2) 0.54772255750517
TEST398fcda80b-ModifiedWeather (1) 6.5716674586297
TEST7e318eb969-pandas_testing_dataset (3)
Weather (10) 6.5716674586297
test (41) 0.43359431136217
TEST76d8cfa095-pandas_testing_dataset (3) 0.54772255750517
test (49) 0.43359431136217
Diabetes(scikit-learn) (6) 0.047619047619048
TESTda410c34dc-pandas_testing_dataset (3) 0.54772255750517
TEST5f1dfbd75d-pandas_testing_dataset (3) 0.54772255750517
TEST5705382a07-UploadTestWithURL (1) 0.43359431136217
TESTccda34c750-pandas_testing_dataset (2) 0.5
TEST5f1dfbd75d-pandas_testing_dataset (2) 0.54772255750517
XOR (14) 0.5
XOR (11) 0.57735026918963
TEST5f1dfbd75d-pandas_testing_dataset (4) 0.54772255750517
anneal (83) 0.87120828097189
TEST2fb3e3c09b-XOR (1) 0.57735026918963
anneal (101) 0.87120828097189
anneal (92) 0.87120828097189
anneal (75) 0.87120828097189
XOR (8) 0.5
Weather (14) 6.5716674586297
TESTccda34c750-pandas_testing_dataset (3)
test (42) 0.43359431136217
test (30) 0.43359431136217
XOR (13) 0.57735026918963
anneal (103) 0.87120828097189
Weather (12) 6.5716674586297
anneal (90) 0.87120828097189
anneal (73) 0.87120828097189
anneal (88) 0.87120828097189
TESTe2a3b91028-ModifiedWeather (1) 6.5716674586297
TESTf7444a8ea4-pandas_testing_dataset (3)
TEST07c2b360c0-pandas_testing_dataset (3)
TEST7e318eb969-pandas_testing_dataset (2) 0.5
test (47) 0.43359431136217
test (50) 0.43359431136217
TESTda410c34dc-pandas_testing_dataset (1) 0.54772255750517
anneal (98) 0.87120828097189
test (37) 0.43359431136217
anneal (86) 0.87120828097189
anneal (105) 0.87120828097189
anneal (87) 0.87120828097189
anneal (99) 0.87120828097189
test (44) 0.43359431136217
TESTcf74ef9481-XOR (1) 0.57735026918963
XOR (12) 0.5
test (51) 0.43359431136217
anneal (91) 1.54672243632
test (46) 0.43359431136217
test (45) 0.43359431136217
test (52) 0.43359431136217
anneal (44) 0.87120828097189
anneal (79) 0.87120828097189
anneal (28) 0.87120828097189
test (48) 0.43359431136217
TEST7e318eb969-pandas_testing_dataset (1) 5.9833101206606
TESTda410c34dc-pandas_testing_dataset (4) 0.54772255750517
TEST07c2b360c0-pandas_testing_dataset (2) 0.5
TESTdcaa77be46-XOR (1) 0.57735026918963
TEST8eecdebbd6-XOR (1) 0.57735026918963
anneal (102) 0.87120828097189
Diabetes(scikit-learn) (7) 0.047619047619048
anneal (97) 0.87120828097189
TEST2302efba1e-XOR (1) 0.57735026918963
anneal (72) 0.87120828097189
test (34) 0.43359431136217
TEST07c2b360c0-pandas_testing_dataset (1) 5.9833101206606
Weather (13) 6.5716674586297
TESTc09922bc0f-XOR (1) 0.57735026918963
test (25) 0.43359431136217
TEST76d8cfa095-pandas_testing_dataset (2) 0.54772255750517
TEST76d8cfa095-pandas_testing_dataset (4) 0.54772255750517
cylinder-bands (2) 0.19335382071185
diabetes_numeric (1) 0.72056487008765
semeion (1) 0.19789687479332
anneal (11) 0.87120828097189
anneal (106) 0.87120828097189
anneal (115) 0.87120828097189
XOR (18) 0.5
anneal (116) 1.54672243632
anneal (113) 0.87120828097189
anneal (107) 0.87120828097189
mfeat-zernike (1) 0.066552002714652
Bioresponse (1) 0.0027212924603936
kr-vs-kp (1)
lowbwt (1) 5.2986779334043
anneal (82) 0.87120828097189
anneal (114) 0.87120828097189
Diabetes(scikit-learn) (9) 0.047619047619048
Diabetes(scikit-learn) (8) 0.047619047619048
Diabetes(scikit-learn) (10) 0.047619047619048
credit-a (1) 3.3465133592781
anneal (119) 0.87120828097189
anneal (118) 0.87120828097189
XOR (21) 0.57735026918963
Weather (17) 6.5716674586297
Weather (21) 6.5716674586297
XOR (23) 0.57735026918963
XOR (19) 0.57735026918963
XOR (17) 0.57735026918963
XOR (16) 0.5
XOR (24) 0.5
Diabetes(scikit-learn) (11) 0.047619047619048
profb (1) 0.81710477213379
climate-model-simulation-crashes (1) 0.28881336863616
pendigits (1) 16.218570675494
tic-tac-toe (1)
abalone (1) 0.041827056607257
delta_elevators (1) 0.0023743436588916
MiceProtein (1) 0.013233318836526
anneal (108) 0.87120828097189
artificial-characters (1) 1.7196318285176
cloud (1) 0.89178289437658
mushroom (1)
anneal (141) 0.87120828097189
Weather (18) 6.5716674586297
anneal (147) 0.87120828097189
anneal (136) 0.87120828097189
anneal (135) 0.87120828097189
anneal (122) 0.87120828097189
XOR (22) 0.5
Weather (22) 6.5716674586297
anneal (112) 0.87120828097189
XOR (29) 0.57735026918963
anneal (128) 0.87120828097189
anneal (139) 0.87120828097189
XOR (27) 0.57735026918963
eucalyptus (1) 0.49318784476285
PhishingWebsites (1)
one-hundred-plants-shape (1) 0.00023816167134437
cholesterol (1) 0.93743831772422
texture (1) 0.13897688217292
fourclass_scale (1) 0.53833093160703
credit-g (1) 0.36208577175319
anneal (151) 0.87120828097189
anneal (132) 0.87120828097189
anneal (156) 0.87120828097189
anneal (134) 0.87120828097189
anneal (149) 0.87120828097189
Weather (16) 6.5716674586297
Weather (15) 6.5716674586297
Weather (27) 6.5716674586297
anneal (126) 0.87120828097189
anneal (167) 0.87120828097189
anneal (127) 0.87120828097189
anneal (131) 0.87120828097189
anneal (124) 0.87120828097189
Diabetes(scikit-learn) (15) 0.047619047619048
Diabetes(scikit-learn) (14) 0.047619047619048
anneal (143) 0.87120828097189
anneal (121) 0.87120828097189
anneal (146) 0.87120828097189
anneal (158) 0.87120828097189
anneal (120) 0.87120828097189
anneal (117) 0.87120828097189
Weather (24) 6.5716674586297
Diabetes(scikit-learn) (12) 0.047619047619048
XOR (31) 0.57735026918963
anneal (150) 0.87120828097189
XOR (32) 0.5
Weather (23) 6.5716674586297
anneal (160) 0.87120828097189
Diabetes(scikit-learn) (17) 0.047619047619048
anneal (155) 0.87120828097189
Weather (30) 6.5716674586297
anneal (110) 0.87120828097189
anneal (173) 0.87120828097189
Weather (20) 6.5716674586297
TEST569e152152-pandas_testing_dataset (2) 0.5
XOR (33) 0.57735026918963
Weather (26) 6.5716674586297
Weather (28) 6.5716674586297
XOR (15) 0.57735026918963
anneal (137) 0.87120828097189
Weather (19) 6.5716674586297
anneal (144) 0.87120828097189
XOR (25) 0.57735026918963
anneal (166) 0.87120828097189
XOR (30) 0.5
anneal (159) 0.87120828097189
anneal (161) 0.87120828097189
anneal (154) 0.87120828097189
anneal (125) 0.87120828097189
Weather (31) 6.5716674586297
Weather (34) 6.5716674586297
anneal (168) 0.87120828097189
anneal (172) 0.87120828097189
anneal (140) 0.87120828097189
anneal (129) 0.87120828097189
anneal (174) 0.87120828097189
XOR (20) 0.5
Weather (25) 6.5716674586297
Diabetes(scikit-learn) (16) 0.047619047619048
XOR (34) 0.5
XOR (28) 0.5
anneal (162) 0.87120828097189
anneal (109) 0.87120828097189
anneal (171) 0.87120828097189
anneal (164) 0.87120828097189
anneal (145) 0.87120828097189
anneal (123) 0.87120828097189
Weather (33) 6.5716674586297
Diabetes(scikit-learn) (13) 0.047619047619048
XOR (26) 0.5
anneal (152) 0.87120828097189
anneal (169) 0.87120828097189
anneal (142) 0.87120828097189
Weather (29) 6.5716674586297
Weather (32) 6.5716674586297
TEST63cd902071-pandas_testing_dataset (2) 0.54772255750517
anneal (175) 0.87120828097189
TESTe55d2d0c3d-pandas_testing_dataset (2) 0.5
anneal (177) 0.87120828097189
TESTe55d2d0c3d-pandas_testing_dataset (3)
anneal (178) 1.54672243632
TEST9d96ec7ade-UploadTestWithURL (1) 0.43359431136217
anneal (180) 0.87120828097189
TESTcf61db30f6-pandas_testing_dataset (1) 5.9833101206606
anneal (181) 0.87120828097189
TEST63cd902071-pandas_testing_dataset (4) 0.54772255750517
TEST63cd902071-pandas_testing_dataset (3) 0.54772255750517
TESTada3067c77-XOR (1) 0.57735026918963
TESTf112d7f8be-XOR (1) 0.57735026918963
TEST9ecb165245-UploadTestWithURL (1) 0.43359431136217
anneal (179) 0.87120828097189
TESTaebada2a36-ModifiedWeather (1) 6.5716674586297
TESTe55d2d0c3d-pandas_testing_dataset (1) 5.9833101206606
TEST63cd902071-pandas_testing_dataset (1) 0.54772255750517
anneal (182) 0.87120828097189
anneal (183) 0.87120828097189
anneal (184) 0.87120828097189
mfeat-pixel (1)
madelon (1) 0.59573952780416
cleveland (1) 0.93743831772422
mfeat-karhunen (1) 0.89234411386476
isolet (1) 0.054925852703405
mozilla4 (1) 0.49538411846058
anneal (185) 0.87120828097189
Weather (35) 6.5716674586297
anneal (190) 0.87120828097189
anneal (187) 0.87120828097189
anneal (192) 0.87120828097189
anneal (191) 0.87120828097189
Weather (36) 6.5716674586297
XOR (36) 0.5
bank-marketing (1) 2.3034410449314
musk (1) 13.975250306712
sylva_agnostic (1) 0
pc3 (1) 0.12943827711259
wisconsin (1) 0.0019500611705003
anneal (186) 0.87120828097189
anneal (189) 0.87120828097189
Diabetes(scikit-learn) (18) 0.047619047619048
XOR (35) 0.57735026918963
anneal (193) 1.54672243632
ModifiedWeather (1) 6.5716674586297
XOR (37) 0.57735026918963
XOR (38) 0.57735026918963
UploadTestWithURL (1) 0.43359431136217
UploadTestWithURL (2) 0.43359431136217
anneal (195) 0.87120828097189
anneal (198) 0.87120828097189
anneal (194) 0.87120828097189
anneal (201) 0.87120828097189
Weather (38) 6.5716674586297
XOR (39) 0.57735026918963
Weather (37) 6.5716674586297
Diabetes(scikit-learn) (19) 0.047619047619048
anneal (199) 0.87120828097189
anneal (196) 0.87120828097189
anneal (200) 0.87120828097189
XOR (40) 0.5
UNIX_user_data (1) 790.05450392026
anneal (176) 0.87120828097189
mfeat-fourier (1) 0.037555498917336
car (1)
splice (1)
vehicle (1) 2.5921383276847
electricity (1) 0.010213038212795
anneal (208) 0.87120828097189
anneal (202) 0.87120828097189
anneal (206) 0.87120828097189
Weather (39) 6.5716674586297
XOR (42) 0.5
anneal (203) 0.87120828097189
anneal (209) 0.87120828097189
anneal (207) 0.87120828097189
anneal (204) 0.87120828097189
Weather (40) 6.5716674586297
Diabetes(scikit-learn) (20) 0.047619047619048
XOR (41) 0.57735026918963
har (1) 0.03712816435011
hill-valley (1) 17668.983863522
micro-mass (2) 0
detroit (1) 0.96655879150515
mfeat-morphological (1) 0.29131571719535
sick (1) 0.19545727511329
LED-display-domain-7digit (1) 0.38623095253668
scene (1) 0.067080007925077
auto_price (1) 0.26733562895372
breast-w (1) 1.7150779425068
anneal (94) 0.87120828097189
anneal (213) 0.87120828097189
anneal (215) 0.87120828097189
Diabetes(scikit-learn) (21) 0.047619047619048
Weather (42) 6.5716674586297
Weather (41) 6.5716674586297
XOR (43) 0.57735026918963
anneal (211) 0.87120828097189
anneal (210) 0.87120828097189
anneal (214) 0.87120828097189
anneal (212) 0.87120828097189
anneal (218) 0.87120828097189
XOR (44) 0.5
segment (1) 0
anneal (222) 0.87120828097189
Weather (43) 6.5716674586297
anneal (220) 0.87120828097189
XOR (46) 0.5
anneal (224) 0.87120828097189
anneal (226) 0.87120828097189
anneal (219) 0.87120828097189
Diabetes(scikit-learn) (22) 0.047619047619048
XOR (45) 0.57735026918963
anneal (221) 0.87120828097189
anneal (225) 0.87120828097189
Weather (44) 6.5716674586297
monks-problems-1 (1)
irish (1) 15.333706778893
gina_agnostic (1) 12.220429305914
MagicTelescope (1) 0.11051079890196
fruitfly (1) 0.077453669814554
cjs (3) 0
dresses-sales (2) 2.0053640592222
jm1 (1) 0.16053844774
mfeat-factors (1) 1.9854850353031
balance-scale (1) 1.4153462926807
optdigits (1) 0
letter (1) 1.54672243632
cmc (1) 2.3585488626874
soybean (1)
pc1 (1) 0.14695194033181
banknote-authentication (1) 2.1010131367391
cardiotocography (1) 0.057299838918067
gas-drift (1) 0.52866047303522
ilpd (1) 0.31849195945867
ozone-level-8hr (1) 0.2428578939629
phoneme (1) 0.99999999847654
tamilnadu-electricity (1) 0.28865824767939
wilt (1) 10.726996780258
mbagrade (1) 0.32878870006376
sleep (1) 1.4412521731282
vowel (2) 0.46192683815132
synthetic_control (1) 3.4955073789368
kc1 (1) 0.17550652636316
wall-robot-navigation (1) 0.80280113711597
steel-plates-fault (1) 0.05896116935205
Amazon_employee_access (1)
GesturePhaseSegmentationProcessed (1) 0.00095394424779593
kin8nm (1) 0.26360679569768
qsar-biodeg (1) 0.03014295651192
satimage (1) 0.99963874376075
nomao (1) 0.015233850268561
Click_prediction_small (5) 0.63154458906239
anneal (234) 0.87120828097189
Diabetes(scikit-learn) (23) 0.047619047619048
anneal (244) 0.87120828097189
XOR (50) 0.5
anneal (228) 0.87120828097189
anneal (237) 0.87120828097189
anneal (242) 0.87120828097189
anneal (231) 0.87120828097189
Weather (47) 6.5716674586297
Weather (45) 6.5716674586297
TEST08f51af3c8-pandas_testing_dataset (1) 5.9833101206606
TESTa365aee568-UploadTestWithURL (1) 0.43359431136217
anneal (233) 0.87120828097189
anneal (240) 0.87120828097189
anneal (229) 0.87120828097189
TEST037907c164-pandas_testing_dataset (3)
TESTa540f38c2d-pandas_testing_dataset (1) 0.54772255750517
TESTfd496f5b4d-XOR (1) 0.57735026918963
TEST037907c164-pandas_testing_dataset (2) 0.5
XOR (47) 0.57735026918963
XOR (48) 0.5
TEST82462bce44-UploadTestWithURL (1) 0.43359431136217
XOR (49) 0.57735026918963
anneal (241) 0.87120828097189
anneal (227) 0.87120828097189
anneal (236) 0.87120828097189
TESTa540f38c2d-pandas_testing_dataset (4) 0.54772255750517
Weather (46) 6.5716674586297
Weather (48) 6.5716674586297
anneal (235) 1.54672243632
TESTa540f38c2d-pandas_testing_dataset (2) 0.54772255750517
TESTa540f38c2d-pandas_testing_dataset (3) 0.54772255750517
anneal (238) 0.87120828097189
Diabetes(scikit-learn) (24) 0.047619047619048
GermanCreditModified (1) 0.36208577175319
GermanCreditModified (3) 0.36208577175319
GermanCreditModified (2) 0.36208577175319
TEST062fea70c5-XOR (1) 0.57735026918963
anneal (249) 0.87120828097189
Weather (50) 6.5716674586297
anneal (246) 0.87120828097189
anneal (251) 0.87120828097189
anneal (252) 0.87120828097189
anneal (247) 0.87120828097189
anneal (245) 0.87120828097189
XOR (51) 0.57735026918963
anneal (250) 0.87120828097189
Weather (49) 6.5716674586297
Diabetes(scikit-learn) (25) 0.047619047619048
XOR (52) 0.5
ada_agnostic (1) 0
pc4 (1) 0.11986237027041
first-order-theorem-proving (1) 0.83946221291434
one-hundred-plants-texture (1) 0.010187092466849
wdbc (1) 0.0026460715239778
pharynx (1) 11.216691519749
analcatdata_dmft (1)
Australian (3) 0.10420205196605
waveform-5000 (1) 0.97645295435797
monks-problems-2 (1)
JapaneseVowels (1) 0.097998558921646
adult (2) 2.5709727555918
anneal (232) 0.87120828097189
monks-problems-3 (1)
analcatdata_authorship (1) 0.80451031662467
diabetes (1) 0.33132859501277
eeg-eye-state (1) 29.292603201776
collins (1) 0.27275253966882
kc2 (1) 0.27560890469343
anneal (253) 0.87120828097189
anneal (255) 0.87120828097189
anneal (257) 0.87120828097189
anneal (260) 0.87120828097189
Weather (52) 6.5716674586297
anneal (1) 0.87120828097189
Diabetes(scikit-learn) (26) 0.047619047619048
longley (1) 4.7609522856952
iris (1) 0.43359431136217
anneal (259) 0.87120828097189
anneal (258) 0.87120828097189
XOR (54) 0.5
Weather (51) 6.5716674586297
XOR (53) 0.57735026918963
anneal (254) 0.87120828097189