Measure

MinStdDevOfNumericAtts

Minimum standard deviation of attributes of the numeric type.

Value per dataset

credit-g (1) 0.36208577175319
pc1 (1) 0.14695194033181
first-order-theorem-proving (1) 0.83946221291434
hill-valley (1) 17668.983863522
mushroom (1)
pc3 (1) 0.12943827711259
steel-plates-fault (1) 0.05896116935205
madelon (1) 0.59573952780416
phoneme (1) 0.99999999847654
vineyard (1) 1.938802595748
isolet (1) 0.054925852703405
synthetic_control (1) 3.4955073789368
abalone (1) 0.041827056607257
mfeat-fourier (1) 0.037555498917336
mozilla4 (1) 0.49538411846058
cylinder-bands (2) 0.19335382071185
spambase (1) 0.076274270637249
banknote-authentication (1) 2.1010131367391
MiceProtein (1) 0.013233318836526
adult (2) 2.5709727555918
MagicTelescope (1) 0.11051079890196
pbc (1) 0.42497160577962
fourclass_scale (1) 0.53833093160703
mfeat-morphological (1) 0.29131571719535
bolts (1) 0.45291081365784
pharynx (1) 11.216691519749
diabetes_numeric (1) 0.72056487008765
pendigits (1) 16.218570675494
anneal (7) 0.87120828097189
semeion (1) 0.19789687479332
satimage (1) 0.99963874376075
vehicle (1) 2.5921383276847
GesturePhaseSegmentationProcessed (1) 0.00095394424779593
wilt (1) 10.726996780258
electricity (1) 0.010213038212795
breast-w (1) 1.7150779425068
musk (1) 13.975250306712
anneal (6) 0.87120828097189
profb (1) 0.81710477213379
jm1 (1) 0.16053844774
anneal (3) 0.87120828097189
anneal (17) 0.87120828097189
autoPrice (1) 0.26733562895372
cleveland (1) 0.93743831772422
cardiotocography (1) 0.057299838918067
scene (1) 0.067080007925077
ilpd (1) 0.31849195945867
mfeat-zernike (1) 0.066552002714652
wisconsin (1) 0.0019500611705003
anneal (15) 0.87120828097189
anneal (22) 0.87120828097189
car (1)
cnae-9 (1) 0.030429030972509
gina_agnostic (1) 12.220429305914
kin8nm (1) 0.26360679569768
iris (2) 0.43359431136217
delta_elevators (1) 0.0023743436588916
qsar-biodeg (1) 0.03014295651192
monks-problems-1 (1)
anneal (14) 0.87120828097189
texture (1) 0.13897688217292
lowbwt (1) 5.2986779334043
anneal (2) 0.87120828097189
Australian (3) 0.10420205196605
eucalyptus (1) 0.49318784476285
one-hundred-plants-shape (1) 0.00023816167134437
analcatdata_dmft (1)
anneal (34) 0.87120828097189
anneal (29) 0.87120828097189
anneal (23) 0.87120828097189
pol (1) 0
mbagrade (1) 0.32878870006376
Amazon_employee_access (1)
letter (1) 1.54672243632
one-hundred-plants-texture (1) 0.010187092466849
TEST1c848ab209-pandas_testing_dataset (3)
PhishingWebsites (1)
detroit (1) 0.96655879150515
sylva_agnostic (1) 0
anneal (28) 0.87120828097189
anneal (53) 0.87120828097189
tamilnadu-electricity (1) 0.28865824767939
iris-challenge (1) 0.43359431136217
cholesterol (1) 0.93743831772422
anneal (41) 0.87120828097189
anneal (10) 0.87120828097189
anneal (35) 0.87120828097189
wdbc (1) 0.0026460715239778
anneal (43) 0.87120828097189
anneal (60) 0.87120828097189
TESTebb33ef4fa-XOR (1) 0.57735026918963
anneal (44) 0.87120828097189
wall-robot-navigation (1) 0.80280113711597
anneal (25) 0.87120828097189
TEST29f9ae6987-XOR (1) 0.57735026918963
har (1) 0.03712816435011
Bioresponse (1) 0.0027212924603936
artificial-characters (1) 1.7196318285176
anneal (51) 0.87120828097189
TEST0a3f20a3a8-pandas_testing_dataset (3)
anneal (37) 0.87120828097189
anneal (61) 0.87120828097189
anneal (8) 0.87120828097189
vowel (2) 0.46192683815132
nomao (1) 0.015233850268561
anneal (5) 0.87120828097189
anneal (87) 0.87120828097189
TESTc16ac7f367-pandas_testing_dataset (3) 0.54772255750517
anneal (62) 0.87120828097189
anneal (73) 0.87120828097189
anneal (65) 0.87120828097189
pc4 (1) 0.11986237027041
TEST861d5ffaea-XOR (1) 0.57735026918963
anneal (77) 0.87120828097189
anneal (59) 0.87120828097189
anneal (74) 0.87120828097189
gas-drift (1) 0.52866047303522
anneal (4) 0.87120828097189
LED-display-domain-7digit (1) 0.38623095253668
anneal (32) 0.87120828097189
anneal (9) 0.87120828097189
optdigits (1) 0
anneal (13) 0.87120828097189
mfeat-karhunen (1) 0.89234411386476
anneal (39) 0.87120828097189
anneal (55) 0.87120828097189
anneal (90) 0.87120828097189
JapaneseVowels (1) 0.097998558921646
anneal (38) 0.87120828097189
anneal (36) 0.87120828097189
anneal (71) 0.87120828097189
anneal (88) 0.87120828097189
anneal (19) 0.87120828097189
anneal (49) 0.87120828097189
anneal (93) 0.87120828097189
anneal (26) 0.87120828097189
anneal (72) 0.87120828097189
anneal (18) 0.87120828097189
anneal (33) 0.87120828097189
anneal (69) 0.87120828097189
anneal (56) 0.87120828097189
anneal (126) 0.87120828097189
sleep (1) 1.4412521731282
anneal (89) 0.87120828097189
anneal (42) 0.87120828097189
anneal (100) 0.87120828097189
monks-problems-2 (1)
anneal (115) 0.87120828097189
mfeat-factors (1) 1.9854850353031
anneal (91) 0.87120828097189
anneal (119) 0.87120828097189
TEST9103715299-pandas_testing_dataset (2) 0.5
sick (1) 0.19545727511329
anneal (111) 0.87120828097189
anneal (40) 0.87120828097189
anneal (132) 0.87120828097189
anneal (103) 0.87120828097189
anneal (133) 0.87120828097189
TEST1c3062c843-pandas_testing_dataset (3)
anneal (67) 0.87120828097189
anneal (95) 0.87120828097189
anneal (76) 0.87120828097189
anneal (144) 0.87120828097189
fruitfly (1) 0.077453669814554
anneal (16) 0.87120828097189
anneal (27) 0.87120828097189
TESTfab02098c0-pandas_testing_dataset (2) 0.54772255750517
splice (1)
anneal (147) 0.87120828097189
one-hundred-plants-margin (1) 0.001498240814741
anneal (80) 0.87120828097189
anneal (104) 0.87120828097189
TEST44eb4b8b3f-XOR (1) 0.57735026918963
anneal (97) 0.87120828097189
anneal (70) 0.87120828097189
anneal (125) 0.87120828097189
anneal (113) 0.87120828097189
ozone-level-8hr (1) 0.2428578939629
TESTb5b3545d7e-pandas_testing_dataset (3)
anneal (24) 0.87120828097189
TEST00a13efce9-pandas_testing_dataset (1) 0.54772255750517
triazines (1) 0
anneal (107) 0.87120828097189
anneal (173) 0.87120828097189
TESTfab02098c0-pandas_testing_dataset (3) 0.54772255750517
anneal (99) 0.87120828097189
anneal (176) 0.87120828097189
dresses-sales (2) 2.0053640592222
TESTa86b01f9a8-pandas_testing_dataset (3)
anneal (159) 0.87120828097189
anneal (158) 0.87120828097189
anneal (165) 0.87120828097189
TEST495d1e52d8-pandas_testing_dataset (1) 5.9833101206606
climate-model-simulation-crashes (1) 0.28881336863616
anneal (94) 0.87120828097189
anneal (146) 0.87120828097189
anneal (181) 0.87120828097189
anneal (178) 0.87120828097189
anneal (129) 0.87120828097189
anneal (131) 0.87120828097189
anneal (163) 0.87120828097189
TEST9b06efad03-pandas_testing_dataset (1) 5.9833101206606
TEST6abd679a4e-ModifiedWeather (1) 6.5716674586297
TEST388a9defc1-pandas_testing_dataset (4) 0.54772255750517
TEST84e16ea643-UploadTestWithURL (1) 0.43359431136217
mfeat-pixel (1)
anneal (105) 0.87120828097189
micro-mass (2) 0
anneal (148) 0.87120828097189
TESTd4a9ca9c2d-pandas_testing_dataset (3)
cmc (1) 2.3585488626874
TESTca4a634324-ModifiedWeather (1) 6.5716674586297
anneal (160) 0.87120828097189
anneal (136) 0.87120828097189
anneal (140) 0.87120828097189
anneal (121) 0.87120828097189
TEST5e105f0c38-pandas_testing_dataset (1) 5.9833101206606
anneal (164) 0.87120828097189
TEST78cf97e1d2-pandas_testing_dataset (3)
anneal (182) 0.87120828097189
TESTd746086797-XOR (1) 0.57735026918963
anneal (75) 0.87120828097189
anneal (112) 0.87120828097189
anneal (47) 0.87120828097189
anneal (153) 0.87120828097189
TEST9d1aa3a77e-XOR (1) 0.57735026918963
TEST495d1e52d8-pandas_testing_dataset (3)
TESTe3d8d93ab0-pandas_testing_dataset (3)
TEST0a395eb24e-XOR (1) 0.57735026918963
TEST5e105f0c38-pandas_testing_dataset (2) 0.5
cjs (3) 0
anneal (123) 0.87120828097189
TEST104676cb6a-pandas_testing_dataset (3) 0.54772255750517
anneal (201) 0.87120828097189
TEST2c4f0b6c26-pandas_testing_dataset (2) 0.5
anneal (155) 0.87120828097189
anneal (194) 0.87120828097189
anneal (167) 0.87120828097189
anneal (171) 0.87120828097189
anneal (162) 0.87120828097189
anneal (135) 0.87120828097189
anneal (223) 0.87120828097189
TESTdd0a5ebb6e-pandas_testing_dataset (2) 0.54772255750517
anneal (106) 0.87120828097189
TESTfab02098c0-pandas_testing_dataset (4) 0.54772255750517
anneal (161) 0.87120828097189
anneal (143) 0.87120828097189
anneal (197) 0.87120828097189
anneal (199) 0.87120828097189
anneal (137) 0.87120828097189
anneal (154) 0.87120828097189
anneal (134) 0.87120828097189
auto_price (1) 0.26733562895372
TEST104676cb6a-pandas_testing_dataset (4) 0.54772255750517
TESTd66c82a86b-ModifiedWeather (1) 6.5716674586297
TEST9b06efad03-pandas_testing_dataset (2) 0.5
kc1 (1) 0.17550652636316
anneal (228) 0.87120828097189
TEST0be3452fe0-pandas_testing_dataset (2) 0.5
anneal (212) 0.87120828097189
anneal (204) 0.87120828097189
anneal (79) 0.87120828097189
anneal (145) 0.87120828097189
anneal (229) 0.87120828097189
TESTdd0a5ebb6e-pandas_testing_dataset (1) 0.54772255750517
TEST388a9defc1-pandas_testing_dataset (2) 0.54772255750517
TEST104676cb6a-pandas_testing_dataset (1) 0.54772255750517
anneal (218) 0.87120828097189
TESTdd0a5ebb6e-pandas_testing_dataset (3) 0.54772255750517
anneal (198) 0.87120828097189
TEST0be3452fe0-pandas_testing_dataset (3)
anneal (98) 0.87120828097189
anneal (12) 0.87120828097189
anneal (214) 0.87120828097189
anneal (120) 0.87120828097189
anneal (209) 0.87120828097189
anneal (256) 0.87120828097189
anneal (110) 0.87120828097189
segment (1) 0
tic-tac-toe (1)
anneal (157) 0.87120828097189
TEST5e105f0c38-pandas_testing_dataset (3)
anneal (102) 0.87120828097189
anneal (262) 0.87120828097189
anneal (170) 0.87120828097189
TEST6ba4d7daec-XOR (1) 0.57735026918963
anneal (232) 0.87120828097189
anneal (237) 0.87120828097189
anneal (241) 0.87120828097189
anneal (221) 0.87120828097189
TESTc8f1eae46a-XOR (1) 0.57735026918963
TEST44aee7d221-ModifiedWeather (1) 6.5716674586297
TEST495d1e52d8-pandas_testing_dataset (2) 0.5
TEST2c4f0b6c26-pandas_testing_dataset (1) 5.9833101206606
autoMpg (1) 2.7576889298127
anneal (193) 0.87120828097189
anneal (219) 0.87120828097189
TEST2c4f0b6c26-pandas_testing_dataset (3)
TEST9103715299-pandas_testing_dataset (3)
anneal (208) 0.87120828097189
anneal (255) 0.87120828097189
anneal (203) 0.87120828097189
anneal (253) 0.87120828097189
anneal (270) 0.87120828097189
anneal (63) 0.87120828097189
anneal (210) 0.87120828097189
TEST388a9defc1-pandas_testing_dataset (3) 0.54772255750517
anneal (268) 0.87120828097189
anneal (271) 0.87120828097189
TESTe74389f4b6-XOR (1) 0.57735026918963
anneal (222) 0.87120828097189
anneal (195) 0.87120828097189
anneal (250) 0.87120828097189
anneal (205) 0.87120828097189
anneal (128) 0.87120828097189
anneal (233) 0.87120828097189
anneal (82) 0.87120828097189
TESTf738f069ca-pandas_testing_dataset (4) 0.54772255750517
anneal (225) 0.87120828097189
TESTdd0a5ebb6e-pandas_testing_dataset (4) 0.54772255750517
anneal (184) 0.87120828097189
anneal (68) 0.87120828097189
anneal (236) 0.87120828097189
anneal (186) 0.87120828097189
anneal (191) 0.87120828097189
anneal (166) 0.87120828097189
anneal (247) 0.87120828097189
anneal (248) 0.87120828097189
anneal (269) 0.87120828097189
anneal (11) 0.87120828097189
anneal (92) 0.87120828097189
anneal (267) 0.87120828097189
anneal (226) 0.87120828097189
anneal (257) 0.87120828097189
anneal (190) 0.87120828097189
anneal (263) 0.87120828097189
TESTdd2273bbad-pandas_testing_dataset (3)
TESTbdcda46197-pandas_testing_dataset (3)
quake (1) 0.18942638883499
TESTcbac53b2c5-XOR (1) 0.57735026918963
anneal (57) 0.87120828097189
TESTb7d5691345-XOR (1) 0.57735026918963
anneal (192) 0.87120828097189
anneal (230) 0.87120828097189
anneal (202) 0.87120828097189
anneal (251) 0.87120828097189
anneal (206) 0.87120828097189
anneal (139) 0.87120828097189
anneal (188) 0.87120828097189
TEST5037c378b1-pandas_testing_dataset (3)
TEST388a9defc1-pandas_testing_dataset (1) 0.54772255750517
anneal (152) 0.87120828097189
TEST9b06efad03-pandas_testing_dataset (3)
anneal (266) 0.87120828097189
anneal (187) 0.87120828097189
anneal (200) 0.87120828097189
anneal (254) 0.87120828097189
anneal (242) 0.87120828097189
anneal (240) 0.87120828097189
anneal (213) 0.87120828097189
anneal (183) 0.87120828097189
Click_prediction_small (5) 0.63154458906239
anneal (156) 0.87120828097189
TEST2f9e899c65-XOR (1) 0.57735026918963
anneal (246) 0.87120828097189
anneal (151) 0.87120828097189
anneal (52) 0.87120828097189
anneal (109) 0.87120828097189
anneal (215) 0.87120828097189
anneal (261) 0.87120828097189
anneal (168) 0.87120828097189
TEST3620d8fbd0-XOR (1) 0.57735026918963
anneal (258) 0.87120828097189
irish (1) 15.333706778893
anneal (239) 0.87120828097189
anneal (252) 0.87120828097189
anneal (81) 0.87120828097189
anneal (244) 0.87120828097189
TEST104676cb6a-pandas_testing_dataset (2) 0.54772255750517
TESTc16ac7f367-pandas_testing_dataset (4) 0.54772255750517
TESTfab02098c0-pandas_testing_dataset (1) 0.54772255750517
anneal (275) 0.87120828097189
anneal (274) 0.87120828097189
anneal (312) 0.87120828097189
anneal (280) 0.87120828097189
anneal (286) 0.87120828097189
anneal (301) 0.87120828097189
anneal (282) 0.87120828097189
anneal (284) 0.87120828097189
anneal (273) 0.87120828097189
anneal (278) 0.87120828097189
anneal (333) 0.87120828097189
anneal (318) 0.87120828097189
anneal (359) 0.87120828097189
anneal (356) 0.87120828097189
anneal (385) 0.87120828097189
anneal (379) 0.87120828097189
anneal (298) 0.87120828097189
anneal (311) 0.87120828097189
anneal (320) 0.87120828097189
anneal (362) 0.87120828097189
anneal (355) 0.87120828097189
anneal (357) 0.87120828097189
anneal (337) 0.87120828097189
anneal (381) 0.87120828097189
anneal (335) 0.87120828097189
anneal (336) 0.87120828097189
anneal (384) 0.87120828097189
TESTfa348335d3-pandas_testing_dataset (3)
anneal (332) 0.87120828097189
anneal (346) 0.87120828097189
anneal (388) 0.87120828097189
anneal (305) 0.87120828097189
anneal (343) 0.87120828097189
anneal (288) 0.87120828097189
TEST845a642017-pandas_testing_dataset (3)
anneal (340) 0.87120828097189
anneal (374) 0.87120828097189
anneal (372) 0.87120828097189
anneal (371) 0.87120828097189
TEST5b30e679ed-pandas_testing_dataset (1) 0.54772255750517
anneal (383) 0.87120828097189
anneal (358) 0.87120828097189
anneal (395) 0.87120828097189
TEST6f97db9a3e-ModifiedWeather (1) 6.5716674586297
anneal (290) 0.87120828097189
anneal (324) 0.87120828097189
TEST5b30e679ed-pandas_testing_dataset (4) 0.54772255750517
TEST7dc1ecdb15-XOR (1) 0.57735026918963
anneal (354) 0.87120828097189
anneal (303) 0.87120828097189
anneal (319) 0.87120828097189
anneal (334) 0.87120828097189
anneal (405) 0.87120828097189
anneal (404) 0.87120828097189
anneal (308) 0.87120828097189
anneal (398) 0.87120828097189
anneal (291) 0.87120828097189
TEST6dc49fc872-pandas_testing_dataset (2) 0.5
anneal (402) 0.87120828097189
TESTb410f44fd0-pandas_testing_dataset (3) 0.54772255750517
anneal (317) 0.87120828097189
TESTb410f44fd0-pandas_testing_dataset (1) 0.54772255750517
TESTc5c73d43cf-XOR (1) 0.57735026918963
anneal (360) 0.87120828097189
anneal (403) 0.87120828097189
anneal (277) 0.87120828097189
anneal (407) 0.87120828097189
TEST5b30e679ed-pandas_testing_dataset (3) 0.54772255750517
anneal (410) 0.87120828097189
anneal (361) 0.87120828097189
TEST9161e0d711-pandas_testing_dataset (3)
TESTeedf1c617e-pandas_testing_dataset (3) 0.54772255750517
TEST58188dfbc6-pandas_testing_dataset (3) 0.54772255750517
TESTa5e33d6c29-pandas_testing_dataset (1) 5.9833101206606
TESTb410f44fd0-pandas_testing_dataset (2) 0.54772255750517
TEST6dc49fc872-pandas_testing_dataset (1) 5.9833101206606
TESTb918af0e2d-pandas_testing_dataset (4) 0.54772255750517
anneal (409) 0.87120828097189
anneal (347) 0.87120828097189
anneal (295) 0.87120828097189
anneal (348) 0.87120828097189
TEST0938a9daba-pandas_testing_dataset (3)
anneal (287) 0.87120828097189
TESTca5628eaef-pandas_testing_dataset (1) 5.9833101206606
anneal (314) 0.87120828097189
anneal (408) 0.87120828097189
TESTc9ed3920cd-XOR (1) 0.57735026918963
TESTeedf1c617e-pandas_testing_dataset (2) 0.54772255750517
TESTa5e33d6c29-pandas_testing_dataset (3)
TESTa10ede6728-XOR (1) 0.57735026918963
anneal (342) 0.87120828097189
TESTeedf1c617e-pandas_testing_dataset (4) 0.54772255750517
TESTb918af0e2d-pandas_testing_dataset (3) 0.54772255750517
anneal (422) 0.87120828097189
anneal (296) 0.87120828097189
anneal (276) 0.87120828097189
anneal (418) 0.87120828097189
anneal (304) 0.87120828097189
anneal (399) 0.87120828097189
TESTa5e33d6c29-pandas_testing_dataset (2) 0.5
anneal (390) 0.87120828097189
TEST10c25a3b38-pandas_testing_dataset (3)
anneal (424) 0.87120828097189
TESTed776f0840-pandas_testing_dataset (3)
anneal (412) 0.87120828097189
anneal (417) 0.87120828097189
anneal (283) 0.87120828097189
anneal (425) 0.87120828097189
anneal (400) 0.87120828097189
TESTed7333f3d2-ModifiedWeather (1) 6.5716674586297
anneal (420) 0.87120828097189
anneal (413) 0.87120828097189
anneal (423) 0.87120828097189
TESTf9ea71bde7-XOR (1) 0.57735026918963
anneal (325) 0.87120828097189
TEST5b30e679ed-pandas_testing_dataset (2) 0.54772255750517
anneal (434) 0.87120828097189
anneal (365) 0.87120828097189
anneal (426) 0.87120828097189
TEST855da0f4bb-ModifiedWeather (1) 6.5716674586297
TEST84e82f2c56-ModifiedWeather (1) 6.5716674586297
TESTb9093fb3b4-ModifiedWeather (1) 6.5716674586297
TEST178704e3b7-ModifiedWeather (1) 6.5716674586297
anneal (393) 0.87120828097189
TESTd655778eb6-ModifiedWeather (1) 6.5716674586297
anneal (438) 0.87120828097189
TEST17eccd9837-pandas_testing_dataset (3) 0.54772255750517
anneal (433) 0.87120828097189
TESTb918af0e2d-pandas_testing_dataset (2) 0.54772255750517
TESTca5628eaef-pandas_testing_dataset (2) 0.5
TESTf2a16c917e-XOR (1) 0.57735026918963
anneal (429) 0.87120828097189
anneal (443) 0.87120828097189
anneal (401) 0.87120828097189
anneal (363) 0.87120828097189
anneal (344) 0.87120828097189
anneal (380) 0.87120828097189
TEST6dc49fc872-pandas_testing_dataset (3)