Measure

Quartile3SkewnessOfNumericAtts

Third quartile of skewness among attributes of the numeric type.

Value per dataset

anneal (7) 3.7546438249219
anneal (6) 3.7546438249219
anneal (3) 3.7546438249219
anneal (17) 3.7546438249219
anneal (15) 3.7546438249219
anneal (22) 3.7546438249219
iris (2) 0.32926723578831
anneal (14) 3.7546438249219
anneal (34) 3.7546438249219
anneal (29) 3.7546438249219
anneal (23) 3.7546438249219
TEST1c848ab209-pandas_testing_dataset (3)
anneal (28) 3.7546438249219
anneal (53) 3.7546438249219
iris-challenge (1) 0.32926723578831
anneal (41) 3.7546438249219
anneal (10) 3.7546438249219
anneal (35) 3.7546438249219
anneal (43) 3.7546438249219
anneal (60) 3.7546438249219
TESTebb33ef4fa-XOR (1) 0
anneal (44) 3.7546438249219
anneal (25) 3.7546438249219
TEST29f9ae6987-XOR (1) 0
anneal (51) 3.7546438249219
anneal (37) 3.7546438249219
anneal (61) 3.7546438249219
anneal (8) 3.7546438249219
anneal (5) 3.7546438249219
anneal (87) 3.7546438249219
TESTc16ac7f367-pandas_testing_dataset (3) 0.60858061945018
anneal (62) 3.7546438249219
anneal (73) 3.7546438249219
anneal (65) 3.7546438249219
TEST861d5ffaea-XOR (1) 0
anneal (77) 3.7546438249219
anneal (59) 3.7546438249219
anneal (74) 3.7546438249219
anneal (4) 3.7546438249219
anneal (32) 3.7546438249219
anneal (13) 3.7546438249219
anneal (39) 3.7546438249219
anneal (55) 3.7546438249219
anneal (90) 3.7546438249219
anneal (38) 3.7546438249219
anneal (36) 3.7546438249219
anneal (71) 3.7546438249219
anneal (88) 3.7546438249219
anneal (19) 3.7546438249219
anneal (49) 3.7546438249219
anneal (93) 3.7546438249219
anneal (26) 3.7546438249219
anneal (72) 3.7546438249219
anneal (18) 3.7546438249219
anneal (33) 3.7546438249219
anneal (69) 3.7546438249219
anneal (56) 3.7546438249219
anneal (126) 3.7546438249219
anneal (89) 3.7546438249219
anneal (42) 3.7546438249219
anneal (100) 3.7546438249219
anneal (115) 3.7546438249219
anneal (91) 3.7546438249219
anneal (119) 3.7546438249219
TEST9103715299-pandas_testing_dataset (2) 0
anneal (111) 3.7546438249219
anneal (40) 3.7546438249219
anneal (132) 3.7546438249219
anneal (103) 3.7546438249219
anneal (133) 3.7546438249219
anneal (67) 3.7546438249219
anneal (95) 3.7546438249219
anneal (76) 3.7546438249219
anneal (144) 3.7546438249219
anneal (16) 3.7546438249219
anneal (27) 3.7546438249219
TESTfab02098c0-pandas_testing_dataset (2) 0.60858061945018
anneal (147) 3.7546438249219
anneal (80) 3.7546438249219
anneal (104) 3.7546438249219
TEST44eb4b8b3f-XOR (1) 0
anneal (97) 3.7546438249219
anneal (70) 3.7546438249219
anneal (125) 3.7546438249219
anneal (113) 3.7546438249219
anneal (24) 3.7546438249219
TEST00a13efce9-pandas_testing_dataset (1) 0.60858061945018
anneal (107) 3.7546438249219
anneal (173) 3.7546438249219
TESTfab02098c0-pandas_testing_dataset (3) 0.60858061945018
anneal (99) 3.7546438249219
anneal (176) 3.7546438249219
anneal (159) 3.7546438249219
anneal (158) 3.7546438249219
anneal (165) 3.7546438249219
TEST495d1e52d8-pandas_testing_dataset (1) 0.45097512379124
anneal (94) 3.7546438249219
anneal (146) 3.7546438249219
anneal (181) 3.7546438249219
anneal (178) 3.7546438249219
anneal (129) 3.7546438249219
anneal (131) 3.7546438249219
anneal (163) 3.7546438249219
TEST9b06efad03-pandas_testing_dataset (1) 0.45097512379124
TEST6abd679a4e-ModifiedWeather (1) 0.36899864486967
TEST388a9defc1-pandas_testing_dataset (4) 0.60858061945018
TEST84e16ea643-UploadTestWithURL (1) 0.32926723578831
anneal (105) 3.7546438249219
anneal (148) 3.7546438249219
TESTca4a634324-ModifiedWeather (1) 0.36899864486967
anneal (160) 3.7546438249219
anneal (136) 3.7546438249219
anneal (140) 3.7546438249219
anneal (121) 3.7546438249219
TEST5e105f0c38-pandas_testing_dataset (1) 0.45097512379124
anneal (164) 3.7546438249219
anneal (182) 3.7546438249219
anneal (75) 3.7546438249219
anneal (112) 3.7546438249219
anneal (47) 3.7546438249219
anneal (153) 3.7546438249219
TEST9d1aa3a77e-XOR (1) 0
TEST0a395eb24e-XOR (1) 0
TEST5e105f0c38-pandas_testing_dataset (2) 0
anneal (123) 3.7546438249219
anneal (201) 3.7546438249219
TEST2c4f0b6c26-pandas_testing_dataset (2) 0
anneal (155) 3.7546438249219
anneal (194) 3.7546438249219
anneal (167) 3.7546438249219
anneal (171) 3.7546438249219
anneal (162) 3.7546438249219
anneal (135) 3.7546438249219
anneal (223) 3.7546438249219
TESTdd0a5ebb6e-pandas_testing_dataset (2) 0.60858061945018
TESTfab02098c0-pandas_testing_dataset (4) 0.60858061945018
anneal (161) 3.7546438249219
anneal (143) 3.7546438249219
anneal (197) 3.7546438249219
anneal (199) 3.7546438249219
anneal (137) 3.7546438249219
anneal (154) 3.7546438249219
anneal (134) 3.7546438249219
TEST104676cb6a-pandas_testing_dataset (4) 0.60858061945018
TESTd66c82a86b-ModifiedWeather (1) 0.36899864486967
TEST9b06efad03-pandas_testing_dataset (2) 0
anneal (228) 3.7546438249219
TEST0be3452fe0-pandas_testing_dataset (2) 0
anneal (212) 3.7546438249219
anneal (204) 3.7546438249219
anneal (79) 3.7546438249219
anneal (145) 3.7546438249219
anneal (229) 3.7546438249219
TESTdd0a5ebb6e-pandas_testing_dataset (1) 0.60858061945018
TEST388a9defc1-pandas_testing_dataset (2) 0.60858061945018
TEST104676cb6a-pandas_testing_dataset (1) 0.60858061945018
anneal (218) 3.7546438249219
anneal (198) 3.7546438249219
TEST0be3452fe0-pandas_testing_dataset (3)
anneal (98) 3.7546438249219
anneal (12) 3.7546438249219
anneal (214) 3.7546438249219
anneal (120) 3.7546438249219
anneal (209) 3.7546438249219
anneal (256) 3.7546438249219
anneal (110) 3.7546438249219
anneal (157) 3.7546438249219
anneal (102) 3.7546438249219
anneal (262) 3.7546438249219
anneal (170) 3.7546438249219
TEST6ba4d7daec-XOR (1) 0
anneal (232) 3.7546438249219
anneal (237) 3.7546438249219
anneal (241) 3.7546438249219
anneal (221) 3.7546438249219
TESTc8f1eae46a-XOR (1) 0
TEST44aee7d221-ModifiedWeather (1) 0.36899864486967
TEST495d1e52d8-pandas_testing_dataset (2) 0
TEST2c4f0b6c26-pandas_testing_dataset (1) 0.45097512379124
anneal (193) 3.7546438249219
anneal (219) 3.7546438249219
anneal (208) 3.7546438249219
anneal (255) 3.7546438249219
anneal (203) 3.7546438249219
anneal (253) 3.7546438249219
anneal (270) 3.7546438249219
anneal (63) 3.7546438249219
anneal (210) 3.7546438249219
anneal (268) 3.7546438249219
TESTe74389f4b6-XOR (1) 0
anneal (222) 3.7546438249219
anneal (195) 3.7546438249219
anneal (250) 3.7546438249219
anneal (205) 3.7546438249219
anneal (128) 3.7546438249219
anneal (233) 3.7546438249219
anneal (82) 3.7546438249219
TESTf738f069ca-pandas_testing_dataset (4) 0.60858061945018
anneal (225) 3.7546438249219
TESTdd0a5ebb6e-pandas_testing_dataset (4) 0.60858061945018
anneal (184) 3.7546438249219
anneal (236) 3.7546438249219
anneal (186) 3.7546438249219
anneal (191) 3.7546438249219
anneal (166) 3.7546438249219
anneal (247) 3.7546438249219
anneal (248) 3.7546438249219
anneal (269) 3.7546438249219
anneal (11) 3.7546438249219
anneal (92) 3.7546438249219
anneal (267) 3.7546438249219
anneal (226) 3.7546438249219
anneal (257) 3.7546438249219
anneal (190) 3.7546438249219
anneal (263) 3.7546438249219
anneal (57) 3.7546438249219
TESTb7d5691345-XOR (1) 0
anneal (192) 3.7546438249219
anneal (230) 3.7546438249219
anneal (202) 3.7546438249219
anneal (251) 3.7546438249219
anneal (206) 3.7546438249219
anneal (139) 3.7546438249219
anneal (188) 3.7546438249219
TEST388a9defc1-pandas_testing_dataset (1) 0.60858061945018
anneal (152) 3.7546438249219
anneal (266) 3.7546438249219
anneal (187) 3.7546438249219
anneal (200) 3.7546438249219
anneal (254) 3.7546438249219
anneal (242) 3.7546438249219
anneal (240) 3.7546438249219
anneal (213) 3.7546438249219
anneal (183) 3.7546438249219
anneal (156) 3.7546438249219
TEST2f9e899c65-XOR (1) 0
anneal (246) 3.7546438249219
anneal (151) 3.7546438249219
anneal (52) 3.7546438249219
anneal (109) 3.7546438249219
anneal (215) 3.7546438249219
anneal (261) 3.7546438249219
anneal (168) 3.7546438249219
TEST3620d8fbd0-XOR (1) 0
anneal (258) 3.7546438249219
anneal (239) 3.7546438249219
anneal (252) 3.7546438249219
anneal (81) 3.7546438249219
anneal (244) 3.7546438249219
TEST104676cb6a-pandas_testing_dataset (2) 0.60858061945018
TESTc16ac7f367-pandas_testing_dataset (4) 0.60858061945018
TESTfab02098c0-pandas_testing_dataset (1) 0.60858061945018
anneal (275) 3.7546438249219
anneal (274) 3.7546438249219
anneal (312) 3.7546438249219
anneal (280) 3.7546438249219
anneal (286) 3.7546438249219
anneal (301) 3.7546438249219
anneal (282) 3.7546438249219
anneal (284) 3.7546438249219
anneal (273) 3.7546438249219
anneal (278) 3.7546438249219
anneal (333) 3.7546438249219
anneal (318) 3.7546438249219
anneal (359) 3.7546438249219
anneal (385) 3.7546438249219
anneal (379) 3.7546438249219
anneal (298) 3.7546438249219
anneal (311) 3.7546438249219
anneal (320) 3.7546438249219
anneal (362) 3.7546438249219
anneal (355) 3.7546438249219
anneal (357) 3.7546438249219
anneal (337) 3.7546438249219
anneal (381) 3.7546438249219
anneal (335) 3.7546438249219
anneal (336) 3.7546438249219
anneal (384) 3.7546438249219
anneal (332) 3.7546438249219
anneal (346) 3.7546438249219
anneal (388) 3.7546438249219
anneal (305) 3.7546438249219
anneal (343) 3.7546438249219
anneal (288) 3.7546438249219
TEST845a642017-pandas_testing_dataset (3)
anneal (340) 3.7546438249219
anneal (374) 3.7546438249219
anneal (372) 3.7546438249219
anneal (371) 3.7546438249219
TEST5b30e679ed-pandas_testing_dataset (1) 0.60858061945018
anneal (383) 3.7546438249219
anneal (395) 3.7546438249219
TEST6f97db9a3e-ModifiedWeather (1) 0.36899864486967
anneal (290) 3.7546438249219
anneal (324) 3.7546438249219
TEST5b30e679ed-pandas_testing_dataset (4) 0.60858061945018
TEST7dc1ecdb15-XOR (1) 0
anneal (354) 3.7546438249219
anneal (303) 3.7546438249219
anneal (319) 3.7546438249219
anneal (405) 3.7546438249219
anneal (404) 3.7546438249219
anneal (308) 3.7546438249219
anneal (398) 3.7546438249219
anneal (291) 3.7546438249219
TEST6dc49fc872-pandas_testing_dataset (2) 0
anneal (402) 3.7546438249219
TESTb410f44fd0-pandas_testing_dataset (3) 0.60858061945018
anneal (317) 3.7546438249219
TESTb410f44fd0-pandas_testing_dataset (1) 0.60858061945018
TESTc5c73d43cf-XOR (1) 0
anneal (360) 3.7546438249219
anneal (403) 3.7546438249219
anneal (277) 3.7546438249219
anneal (407) 3.7546438249219
TEST5b30e679ed-pandas_testing_dataset (3) 0.60858061945018
anneal (410) 3.7546438249219
anneal (361) 3.7546438249219
TESTeedf1c617e-pandas_testing_dataset (3) 0.60858061945018
TESTa5e33d6c29-pandas_testing_dataset (1) 0.45097512379124
TESTb410f44fd0-pandas_testing_dataset (2) 0.60858061945018
TEST6dc49fc872-pandas_testing_dataset (1) 0.45097512379124
TESTb918af0e2d-pandas_testing_dataset (4) 0.60858061945018
anneal (409) 3.7546438249219
anneal (347) 3.7546438249219
anneal (295) 3.7546438249219
anneal (348) 3.7546438249219
TEST0938a9daba-pandas_testing_dataset (3)
anneal (287) 3.7546438249219
TESTca5628eaef-pandas_testing_dataset (1) 0.45097512379124
anneal (314) 3.7546438249219
anneal (408) 3.7546438249219
TESTc9ed3920cd-XOR (1) 0
TESTeedf1c617e-pandas_testing_dataset (2) 0.60858061945018
TESTa10ede6728-XOR (1) 0
anneal (342) 3.7546438249219
TESTeedf1c617e-pandas_testing_dataset (4) 0.60858061945018
TESTb918af0e2d-pandas_testing_dataset (3) 0.60858061945018
anneal (422) 3.7546438249219
anneal (296) 3.7546438249219
anneal (276) 3.7546438249219
anneal (418) 3.7546438249219
anneal (304) 3.7546438249219
anneal (399) 3.7546438249219
TESTa5e33d6c29-pandas_testing_dataset (2) 0
anneal (390) 3.7546438249219
TEST10c25a3b38-pandas_testing_dataset (3)
anneal (424) 3.7546438249219
anneal (412) 3.7546438249219
anneal (417) 3.7546438249219
anneal (283) 3.7546438249219
anneal (425) 3.7546438249219
anneal (400) 3.7546438249219
TESTed7333f3d2-ModifiedWeather (1) 0.36899864486967
anneal (420) 3.7546438249219
anneal (413) 3.7546438249219
anneal (423) 3.7546438249219
TESTf9ea71bde7-XOR (1) 0
anneal (325) 3.7546438249219
TEST5b30e679ed-pandas_testing_dataset (2) 0.60858061945018
anneal (434) 3.7546438249219
anneal (365) 3.7546438249219
anneal (426) 3.7546438249219
TEST855da0f4bb-ModifiedWeather (1) 0.36899864486967
TEST84e82f2c56-ModifiedWeather (1) 0.36899864486967
TESTb9093fb3b4-ModifiedWeather (1) 0.36899864486967
TEST178704e3b7-ModifiedWeather (1) 0.36899864486967
anneal (393) 3.7546438249219
TESTd655778eb6-ModifiedWeather (1) 0.36899864486967
anneal (438) 3.7546438249219
TEST17eccd9837-pandas_testing_dataset (3) 0.60858061945018
anneal (433) 3.7546438249219
TESTb918af0e2d-pandas_testing_dataset (2) 0.60858061945018
TESTca5628eaef-pandas_testing_dataset (2) 0
TESTf2a16c917e-XOR (1) 0
anneal (429) 3.7546438249219
anneal (443) 3.7546438249219
anneal (401) 3.7546438249219
anneal (363) 3.7546438249219
anneal (344) 3.7546438249219
anneal (380) 3.7546438249219
TEST6dc49fc872-pandas_testing_dataset (3)
TEST66ac6fcd6c-pandas_testing_dataset (1) 0.45097512379124
anneal (293) 3.7546438249219