Measure

MinStdDevOfNumericAtts

Minimum standard deviation of attributes of the numeric type.

Value per dataset

anneal (7) 0.87120828097189
anneal (6) 0.87120828097189
anneal (3) 0.87120828097189
anneal (17) 0.87120828097189
anneal (15) 0.87120828097189
anneal (22) 0.87120828097189
iris (2) 0.43359431136217
anneal (14) 0.87120828097189
anneal (34) 0.87120828097189
anneal (29) 0.87120828097189
anneal (23) 0.87120828097189
TEST1c848ab209-pandas_testing_dataset (3)
anneal (28) 0.87120828097189
anneal (53) 0.87120828097189
iris-challenge (1) 0.43359431136217
anneal (41) 0.87120828097189
anneal (10) 0.87120828097189
anneal (35) 0.87120828097189
anneal (43) 0.87120828097189
anneal (60) 0.87120828097189
TESTebb33ef4fa-XOR (1) 0.57735026918963
anneal (44) 0.87120828097189
anneal (25) 0.87120828097189
TEST29f9ae6987-XOR (1) 0.57735026918963
anneal (51) 0.87120828097189
anneal (37) 0.87120828097189
anneal (61) 0.87120828097189
anneal (8) 0.87120828097189
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
TEST861d5ffaea-XOR (1) 0.57735026918963
anneal (77) 0.87120828097189
anneal (59) 0.87120828097189
anneal (74) 0.87120828097189
anneal (4) 0.87120828097189
anneal (32) 0.87120828097189
anneal (13) 0.87120828097189
anneal (39) 0.87120828097189
anneal (55) 0.87120828097189
anneal (90) 0.87120828097189
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
anneal (89) 0.87120828097189
anneal (42) 0.87120828097189
anneal (100) 0.87120828097189
anneal (115) 0.87120828097189
anneal (91) 0.87120828097189
anneal (119) 0.87120828097189
TEST9103715299-pandas_testing_dataset (2) 0.5
anneal (111) 0.87120828097189
anneal (40) 0.87120828097189
anneal (132) 0.87120828097189
anneal (103) 0.87120828097189
anneal (133) 0.87120828097189
anneal (67) 0.87120828097189
anneal (95) 0.87120828097189
anneal (76) 0.87120828097189
anneal (144) 0.87120828097189
anneal (16) 0.87120828097189
anneal (27) 0.87120828097189
TESTfab02098c0-pandas_testing_dataset (2) 0.54772255750517
anneal (147) 0.87120828097189
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
anneal (24) 0.87120828097189
TEST00a13efce9-pandas_testing_dataset (1) 0.54772255750517
anneal (107) 0.87120828097189
anneal (173) 0.87120828097189
TESTfab02098c0-pandas_testing_dataset (3) 0.54772255750517
anneal (99) 0.87120828097189
anneal (176) 0.87120828097189
anneal (159) 0.87120828097189
anneal (158) 0.87120828097189
anneal (165) 0.87120828097189
TEST495d1e52d8-pandas_testing_dataset (1) 5.9833101206606
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
anneal (105) 0.87120828097189
anneal (148) 0.87120828097189
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
anneal (182) 0.87120828097189
anneal (75) 0.87120828097189
anneal (112) 0.87120828097189
anneal (47) 0.87120828097189
anneal (153) 0.87120828097189
TEST9d1aa3a77e-XOR (1) 0.57735026918963
TEST0a395eb24e-XOR (1) 0.57735026918963
TEST5e105f0c38-pandas_testing_dataset (2) 0.5
anneal (123) 0.87120828097189
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
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
TEST104676cb6a-pandas_testing_dataset (4) 0.54772255750517
TESTd66c82a86b-ModifiedWeather (1) 6.5716674586297
TEST9b06efad03-pandas_testing_dataset (2) 0.5
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
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
anneal (157) 0.87120828097189
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
anneal (193) 0.87120828097189
anneal (219) 0.87120828097189
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
anneal (268) 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 (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
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
TEST388a9defc1-pandas_testing_dataset (1) 0.54772255750517
anneal (152) 0.87120828097189
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
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
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 (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
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 (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 (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
TESTeedf1c617e-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
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
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)
TEST66ac6fcd6c-pandas_testing_dataset (1) 5.9833101206606
anneal (293) 0.87120828097189