Measure

MinStdDevOfNumericAtts

Minimum standard deviation of attributes of the numeric type.

Value per dataset

Weather (59) 6.5716674586297
Diabetes(scikit-learn) (33) 0.047619047619046
XOR (61) 0.57735026918963
Weather (63) 6.5716674586297
Diabetes(scikit-learn) (36) 0.047619047619046
XOR (65) 0.57735026918963
Weather (67) 6.5716674586297
Weather (60) 6.5716674586297
XOR (62) 0.5
anneal (1371) 0.87120828097189
anneal (1651) 0.87120828097189
Weather (61) 6.5716674586297
anneal (1654) 0.87120828097189
anneal (1560) 0.87120828097189
XOR (68) 0.5
Weather (69) 6.5716674586297
Weather (65) 6.5716674586297
Diabetes(scikit-learn) (39) 0.047619047619046
XOR (66) 0.5
XOR (69) 0.57735026918963
XOR (71) 0.57735026918963
Weather (66) 6.5716674586297
anneal (1796) 0.87120828097189
Diabetes(scikit-learn) (35) 0.047619047619046
Diabetes(scikit-learn) (37) 0.047619047619046
anneal (1917) 0.87120828097189
Weather (71) 6.5716674586297
XOR (70) 0.5
Diabetes(scikit-learn) (40) 0.047619047619046
XOR (72) 0.5
XOR (50) 0.5
XOR (67) 0.57735026918963
XOR (76) 0.5
anneal (1918) 0.87120828097189
Weather (76) 6.5716674586297
Weather (73) 6.5716674586297
Weather (75) 6.5716674586297
XOR (74) 0.5
XOR (73) 0.57735026918963
Weather (72) 6.5716674586297
anneal (2036) 0.87120828097189
Weather (79) 6.5716674586297
Diabetes(scikit-learn) (43) 0.047619047619046
Weather (74) 6.5716674586297
Weather (68) 6.5716674586297
Diabetes(scikit-learn) (41) 0.047619047619046
Weather (70) 6.5716674586297
XOR (80) 0.5
Diabetes(scikit-learn) (38) 0.047619047619046
Diabetes(scikit-learn) (42) 0.047619047619046
XOR (79) 0.5
anneal (1797) 0.87120828097189
XOR (75) 0.57735026918963
Weather (80) 6.5716674586297
Weather (78) 6.5716674586297
Weather (77) 6.5716674586297
Diabetes(scikit-learn) (44) 0.047619047619046
Weather (83) 6.5716674586297
XOR (82) 0.5
Diabetes(scikit-learn) (45) 0.047619047619046
XOR (77) 0.57735026918963
Weather (84) 6.5716674586297
XOR (78) 0.57735026918963
anneal (2035) 0.87120828097189
Weather (82) 6.5716674586297
XOR (88) 0.5
anneal (2158) 0.87120828097189
Weather (81) 6.5716674586297
XOR (84) 0.5
Weather (85) 6.5716674586297
XOR (81) 0.57735026918963
anneal (2280) 0.87120828097189
Diabetes(scikit-learn) (46) 0.047619047619046
XOR (85) 0.57735026918963
XOR (87) 0.57735026918963
XOR (86) 0.5
Weather (86) 6.5716674586297
anneal (2281) 0.87120828097189
Weather (87) 6.5716674586297
Weather (88) 6.5716674586297
XOR (83) 0.57735026918963
Diabetes(scikit-learn) (47) 0.047619047619046
iris (2) 0.43359431136217
iris-challenge (1) 0.43359431136217
XOR (4) 0.5
anneal (38) 0.87120828097189
Weather (3) 6.5716674586297
Diabetes(scikit-learn) (1) 0.047619047619046
XOR (1) 0.57735026918963
Weather (1) 6.5716674586297
Weather (4) 6.5716674586297
Diabetes(scikit-learn) (2) 0.047619047619046
XOR (2) 0.5
XOR (3) 0.57735026918963
anneal (36) 0.87120828097189
Weather (2) 6.5716674586297
Diabetes(scikit-learn) (3) 0.047619047619046
anneal (90) 0.87120828097189
anneal (87) 0.87120828097189
Weather (7) 6.5716674586297
Weather (6) 6.5716674586297
Weather (8) 6.5716674586297
Diabetes(scikit-learn) (5) 0.047619047619046
Diabetes(scikit-learn) (4) 0.047619047619046
XOR (8) 0.5
XOR (5) 0.57735026918963
XOR (6) 0.5
Weather (5) 6.5716674586297
XOR (7) 0.57735026918963
Weather (11) 6.5716674586297
XOR (10) 0.5
XOR (11) 0.57735026918963
XOR (9) 0.57735026918963
XOR (12) 0.5
Diabetes(scikit-learn) (7) 0.047619047619046
Weather (9) 6.5716674586297
anneal (210) 0.87120828097189
Weather (10) 6.5716674586297
Weather (12) 6.5716674586297
Diabetes(scikit-learn) (6) 0.047619047619046
anneal (211) 0.87120828097189
iris (4) 0.4358662849367
iris (3) 0.4358662849367
anneal (216) 0.87120828097189
anneal (217) 0.87120828097189
Diabetes(scikit-learn) (9) 0.047619047619046
anneal (254) 0.87120828097189
Weather (15) 6.5716674586297
XOR (14) 0.5
XOR (15) 0.57735026918963
Weather (13) 6.5716674586297
Weather (16) 6.5716674586297
anneal (259) 0.87120828097189
Weather (14) 6.5716674586297
XOR (13) 0.57735026918963
XOR (16) 0.5
Weather (18) 6.5716674586297
XOR (18) 0
Diabetes(scikit-learn) (10) 0.047619047619046
XOR (17) 0.57735026918963
Diabetes(scikit-learn) (8) 0.047619047619046
Weather (17) 6.5716674586297
Weather (19) 6.5716674586297
Weather (20) 6.5716674586297
Diabetes(scikit-learn) (11) 0.047619047619046
XOR (20) 0.5
XOR (19) 0.57735026918963
Weather (23) 6.5716674586297
Weather (22) 6.5716674586297
XOR (24) 0.5
XOR (23) 0.57735026918963
Diabetes(scikit-learn) (13) 0.047619047619046
anneal (391) 0.87120828097189
Weather (21) 6.5716674586297
XOR (21) 0.57735026918963
Diabetes(scikit-learn) (12) 0.047619047619046
anneal (392) 0.87120828097189
XOR (22) 0.5
Weather (24) 6.5716674586297
anneal (509) 0.87120828097189
Weather (25) 6.5716674586297
XOR (26) 0.5
XOR (25) 0.57735026918963
XOR (28) 0.5
Weather (28) 6.5716674586297
Weather (27) 6.5716674586297
Weather (26) 6.5716674586297
Diabetes(scikit-learn) (14) 0.047619047619046
XOR (27) 0.57735026918963
anneal (510) 0.87120828097189
Diabetes(scikit-learn) (15) 0.047619047619046
Diabetes(scikit-learn) (17) 0.047619047619046
Weather (29) 6.5716674586297
Weather (31) 6.5716674586297
XOR (30) 0.5
XOR (31) 0.57735026918963
Weather (32) 6.5716674586297
Diabetes(scikit-learn) (16) 0.047619047619046
Weather (30) 6.5716674586297
XOR (32) 0.5
anneal (636) 0.87120828097189
XOR (29) 0.57735026918963
anneal (633) 0.87120828097189
XOR (34) 0.5
Weather (34) 6.5716674586297
XOR (33) 0.57735026918963
anneal (751) 0.87120828097189
Weather (33) 6.5716674586297
Diabetes(scikit-learn) (18) 0.047619047619046
anneal (867) 0.87120828097189
anneal (866) 0.87120828097189
Diabetes(scikit-learn) (20) 0.047619047619046
Diabetes(scikit-learn) (19) 0.047619047619046
XOR (35) 0.57735026918963
Weather (36) 6.5716674586297
Diabetes(scikit-learn) (21) 0.047619047619046
XOR (36) 0.5
Weather (35) 6.5716674586297
anneal (887) 0.87120828097189
XOR (38) 0.5
XOR (39) 0.57735026918963
XOR (37) 0.57735026918963
Weather (39) 6.5716674586297
XOR (40) 0.5
Diabetes(scikit-learn) (22) 0.047619047619046
anneal (1012) 0.87120828097189
Weather (38) 6.5716674586297
Diabetes(scikit-learn) (23) 0.047619047619046
Weather (37) 6.5716674586297
anneal (1013) 0.87120828097189
Weather (40) 6.5716674586297
Weather (44) 6.5716674586297
XOR (43) 0.5
XOR (41) 0.57735026918963
anneal (1131) 0.87120828097189
Weather (43) 6.5716674586297
Diabetes(scikit-learn) (25) 0.047619047619046
anneal (1130) 0.87120828097189
Weather (41) 6.5716674586297
XOR (42) 0.57735026918963
Diabetes(scikit-learn) (24) 0.047619047619046
XOR (44) 0.5
Weather (42) 6.5716674586297
iris (6) 0.4358662849367
iris (5) 0.4358662849367
Weather (45) 6.5716674586297
XOR (48) 0.5
XOR (45) 0.57735026918963
Diabetes(scikit-learn) (26) 0.047619047619046
anneal (1251) 0.87120828097189
Weather (46) 6.5716674586297
XOR (46) 0.5
Weather (47) 6.5716674586297
XOR (47) 0.57735026918963
Weather (48) 6.5716674586297
anneal (1250) 0.87120828097189
Diabetes(scikit-learn) (27) 0.047619047619046
kits (1) 42.222923306247
XOR (49) 0.57735026918963
anneal (1370) 0.87120828097189
Weather (49) 6.5716674586297
anneal (1453) 0.87120828097189
Weather (51) 6.5716674586297
Weather (53) 6.5716674586297
Weather (54) 6.5716674586297
Diabetes(scikit-learn) (28) 0.047619047619046
Weather (55) 6.5716674586297
Weather (52) 6.5716674586297
Weather (56) 6.5716674586297
Weather (58) 6.5716674586297
XOR (54) 0.5
Weather (50) 6.5716674586297
Diabetes(scikit-learn) (32) 0.047619047619046
PCam (1) 51.140646756033
Diabetes(scikit-learn) (31) 0.047619047619046
Diabetes(scikit-learn) (29) 0.047619047619046
XOR (53) 0.57735026918963
XOR (60) 0.5
XOR (52) 0.5
Weather (57) 6.5716674586297
XOR (58) 0.5
XOR (55) 0.57735026918963
anneal (1454) 0.87120828097189
XOR (56) 0.5
XOR (57) 0.57735026918963
Weather (64) 6.5716674586297
Weather (62) 6.5716674586297
Diabetes(scikit-learn) (30) 0.047619047619046
anneal (1486) 0.87120828097189
XOR (64) 0.5
anneal (1563) 0.87120828097189
XOR (59) 0.57735026918963
XOR (63) 0.57735026918963
Diabetes(scikit-learn) (34) 0.047619047619046
XOR (89) 0.57735026918963
Diabetes(scikit-learn) (48) 0.047619047619046
Weather (90) 6.5716674586297
XOR (92) 0.5
Weather (92) 6.5716674586297
XOR (91) 0.57735026918963
Diabetes(scikit-learn) (49) 0.047619047619046
anneal (2381) 0.87120828097189
Weather (89) 6.5716674586297
anneal (2406) 0.87120828097189
XOR (90) 0.5
Weather (91) 6.5716674586297
anneal (2561) 0.87120828097189
Diabetes(scikit-learn) (50) 0.047619047619046
Diabetes(scikit-learn) (51) 0.047619047619046
anneal (2559) 0.87120828097189
Weather (94) 6.5716674586297
Diabetes(scikit-learn) (53) 0.047619047619046
iris (7) 0.4358662849367
XOR (104) 0.5
XOR (98) 0.5
XOR (97) 0.57735026918963
XOR (103) 0.57735026918963
anneal (2786) 0.87120828097189
anneal (3213) 0.87120828097189
Weather (107) 6.5716674586297
Weather (93) 6.5716674586297
Weather (108) 6.5716674586297
Diabetes(scikit-learn) (60) 0.047619047619046
Diabetes(scikit-learn) (58) 0.047619047619046
Diabetes(scikit-learn) (59) 0.047619047619046
XOR (108) 0.5
anneal (2923) 0.87120828097189
anneal (2836) 0.87120828097189
Weather (97) 6.5716674586297
Weather (103) 6.5716674586297
Weather (104) 6.5716674586297
Diabetes(scikit-learn) (52) 0.047619047619046
XOR (106) 0.5
XOR (101) 0.57735026918963
XOR (107) 0.57735026918963
anneal (3208) 0.87120828097189
Weather (105) 6.5716674586297
Weather (106) 6.5716674586297
iris (8) 0.4358662849367
Diabetes(scikit-learn) (57) 0.047619047619046
Diabetes(scikit-learn) (56) 0.047619047619046
XOR (99) 0.57735026918963
XOR (105) 0.57735026918963
XOR (93) 0.57735026918963
anneal (3082) 0.87120828097189
Weather (99) 6.5716674586297
Weather (95) 6.5716674586297
Weather (102) 6.5716674586297
Weather (96) 6.5716674586297
Weather (98) 6.5716674586297
Diabetes(scikit-learn) (61) 0.047619047619046
XOR (94) 0.5
XOR (102) 0.5
anneal (3088) 0.87120828097189
anneal (2932) 0.87120828097189
anneal (2783) 0.87120828097189
Weather (101) 6.5716674586297
Weather (100) 6.5716674586297
Diabetes(scikit-learn) (54) 0.047619047619046
Diabetes(scikit-learn) (55) 0.047619047619046
XOR (96) 0.5
XOR (95) 0.57735026918963
XOR (100) 0.5
test (2) 0.43359431136217
test (1) 0.43359431136217
test (4) 0.43359431136217
test (3) 0.43359431136217
test (11) 0.43359431136217
test (12) 0.43359431136217
test (5) 0.43359431136217
test (6) 0.43359431136217
test (7) 0.43359431136217
test (10) 0.43359431136217
test (8) 0.43359431136217
test (9) 0.43359431136217
test (15) 0.43359431136217
test (13) 0.43359431136217
test (16) 0.43359431136217
test (14) 0.43359431136217
test (19) 0.43359431136217
test (17) 0.43359431136217
test (20) 0.43359431136217
test (18) 0.43359431136217
test (21) 0.43359431136217
test (23) 0.43359431136217
test (24) 0.43359431136217
test (22) 0.43359431136217
test (25) 0.43359431136217
test (26) 0.43359431136217
test (29) 0.43359431136217
test (28) 0.43359431136217
test (27) 0.43359431136217
test (31) 0.43359431136217
test (30) 0.43359431136217
test (37) 0.43359431136217
test (35) 0.43359431136217
test (33) 0.43359431136217
test (38) 0.43359431136217
test (36) 0.43359431136217
test (32) 0.43359431136217
test (34) 0.43359431136217
test (39) 0.43359431136217
test (40) 0.43359431136217
test (42) 0.43359431136217
test (47) 0.43359431136217
test (43) 0.43359431136217
test (46) 0.43359431136217
test (41) 0.43359431136217
test (44) 0.43359431136217
test (48) 0.43359431136217
test (58) 0.43359431136217
test (55) 0.43359431136217
test (51) 0.43359431136217
test (57) 0.43359431136217
test (52) 0.43359431136217
test (49) 0.43359431136217
test (53) 0.43359431136217
test (54) 0.43359431136217
test (65) 0.43359431136217
test (66) 0.43359431136217
test (61) 0.43359431136217
test (64) 0.43359431136217
test (63) 0.43359431136217
test (62) 0.43359431136217
test (72) 0.43359431136217
test (67) 0.43359431136217
test (68) 0.43359431136217
test (74) 0.43359431136217
test (73) 0.43359431136217
test (71) 0.43359431136217
test (75) 0.43359431136217
test (69) 0.43359431136217
test (70) 0.43359431136217
test (77) 0.43359431136217
test (78) 0.43359431136217
test (76) 0.43359431136217
test (81) 0.43359431136217
test (79) 0.43359431136217
test (84) 0.43359431136217
test (83) 0.43359431136217
test (80) 0.43359431136217
test (82) 0.43359431136217
test (87) 0.43359431136217
test (89) 0.43359431136217
test (86) 0.43359431136217
test (88) 0.43359431136217
test (85) 0.43359431136217
test (90) 0.43359431136217
test (92) 0.43359431136217
test (93) 0.43359431136217
test (91) 0.43359431136217
iris (10) 0.4358662849367
iris (9) 0.4358662849367
anneal (3328) 0.87120828097189
anneal (3320) 0.87120828097189
anneal (3336) 0.87120828097189
anneal (3245) 0.87120828097189
anneal (3272) 0.87120828097189
anneal (3278) 0.87120828097189
anneal (3247) 0.87120828097189
anneal (3307) 0.87120828097189
anneal (3281) 0.87120828097189
anneal (3355) 0.87120828097189
anneal (3329) 0.87120828097189
anneal (3352) 0.87120828097189
anneal (3285) 0.87120828097189
anneal (3333) 0.87120828097189
anneal (3347) 0.87120828097189
anneal (3275) 0.87120828097189
Weather (111) 6.5716674586297
Weather (114) 6.5716674586297
anneal (3305) 0.87120828097189
anneal (3295) 0.87120828097189
anneal (3274) 0.87120828097189
anneal (3348) 0.87120828097189
anneal (3360) 0.87120828097189
Weather (115) 6.5716674586297
TESTd9efb4c2e9-pandas_testing_dataset (3)
Diabetes(scikit-learn) (64) 0.047619047619046
XOR (111) 0.57735026918963
anneal (3338) 0.87120828097189
anneal (3312) 0.87120828097189
anneal (3319) 0.87120828097189
anneal (3311) 0.87120828097189
anneal (3256) 0.87120828097189
anneal (3325) 0.87120828097189
anneal (3357) 0.87120828097189
TEST9dd8d65a51-pandas_testing_dataset (3)
XOR (110) 0.5
anneal (3324) 0.87120828097189
OxfordPets (1) 49.849972898486
anneal (3313) 0.87120828097189
anneal (3250) 0.87120828097189
anneal (3314) 0.87120828097189
anneal (3282) 0.87120828097189
anneal (3349) 0.87120828097189
TESTbf391b99e0-pandas_testing_dataset (3)
XOR (114) 0.5
anneal (3340) 0.87120828097189
anneal (3267) 0.87120828097189
anneal (3387) 0.87120828097189
anneal (3332) 0.87120828097189
anneal (3249) 0.87120828097189
anneal (3351) 0.87120828097189
anneal (3261) 0.87120828097189
anneal (3253) 0.87120828097189
anneal (3353) 0.87120828097189
anneal (3317) 0.87120828097189
anneal (3380) 0.87120828097189
anneal (3277) 0.87120828097189
anneal (3326) 0.87120828097189
anneal (3299) 0.87120828097189
anneal (3304) 0.87120828097189
Weather (112) 6.5716674586297
Diabetes(scikit-learn) (63) 0.047619047619046
TEST23cffc1ee9-XOR (1) 0.57735026918963
anneal (3286) 0.87120828097189
anneal (3283) 0.87120828097189
anneal (3257) 0.87120828097189
anneal (3397) 0.87120828097189
anneal (3354) 0.87120828097189
anneal (3378) 0.87120828097189
anneal (3392) 0.87120828097189
Diabetes(scikit-learn) (62) 0.047619047619046
XOR (116) 0.5
anneal (3298) 0.87120828097189
anneal (3365) 0.87120828097189
anneal (3396) 0.87120828097189
anneal (3242) 0.87120828097189
anneal (3255) 0.87120828097189
anneal (3297) 0.87120828097189
anneal (3291) 0.87120828097189
anneal (3356) 0.87120828097189
anneal (3323) 0.87120828097189
anneal (3262) 0.87120828097189
anneal (3418) 0.87120828097189
anneal (3342) 0.87120828097189
anneal (3376) 0.87120828097189
anneal (3425) 0.87120828097189
anneal (3388) 0.87120828097189
anneal (3303) 0.87120828097189
TESTfd21f54117-ModifiedWeather (1) 6.5716674586297
XOR (115) 0.57735026918963
anneal (3370) 0.87120828097189
anneal (3273) 0.87120828097189
anneal (3382) 0.87120828097189
anneal (3359) 0.87120828097189
anneal (3243) 0.87120828097189
anneal (3393) 0.87120828097189
anneal (3300) 0.87120828097189
anneal (3413) 0.87120828097189
Weather (117) 6.5716674586297
anneal (3264) 0.87120828097189
anneal (3434) 0.87120828097189
anneal (3384) 0.87120828097189
anneal (3315) 0.87120828097189
anneal (3322) 0.87120828097189
anneal (3381) 0.87120828097189
anneal (3433) 0.87120828097189
anneal (3364) 0.87120828097189
Weather (119) 6.5716674586297
anneal (3361) 0.87120828097189
anneal (3436) 0.87120828097189
anneal (3410) 0.87120828097189
anneal (3375) 0.87120828097189
anneal (3449) 0.87120828097189
anneal (3265) 0.87120828097189
Diabetes(scikit-learn) (65) 0.047619047619046
XOR (117) 0.57735026918963
anneal (3398) 0.87120828097189
anneal (3469) 0.87120828097189
anneal (3441) 0.87120828097189
anneal (3448) 0.87120828097189
anneal (3400) 0.87120828097189
anneal (3244) 0.87120828097189
anneal (3470) 0.87120828097189
anneal (3419) 0.87120828097189
XOR (119) 0.57735026918963
anneal (3411) 0.87120828097189
anneal (3327) 0.87120828097189
anneal (3310) 0.87120828097189
anneal (3409) 0.87120828097189
anneal (3474) 0.87120828097189
anneal (3455) 0.87120828097189
anneal (3405) 0.87120828097189
anneal (3287) 0.87120828097189
XOR (120) 0.5
anneal (3330) 0.87120828097189
anneal (3460) 0.87120828097189
anneal (3467) 0.87120828097189
anneal (3371) 0.87120828097189
anneal (3481) 0.87120828097189
anneal (3368) 0.87120828097189
anneal (3350) 0.87120828097189
TESTf9806cfccd-pandas_testing_dataset (3)
XOR (121) 0.57735026918963
anneal (3451) 0.87120828097189
anneal (3292) 0.87120828097189
anneal (3475) 0.87120828097189
anneal (3471) 0.87120828097189
anneal (3263) 0.87120828097189
anneal (3429) 0.87120828097189
TESTa4b439778d-pandas_testing_dataset (3)
Diabetes(scikit-learn) (67) 0.047619047619046
XOR (113) 0.57735026918963
anneal (3406) 0.87120828097189
anneal (3457) 0.87120828097189
anneal (3268) 0.87120828097189
anneal (3386) 0.87120828097189
anneal (3492) 0.87120828097189
anneal (3438) 0.87120828097189
Weather (122) 6.5716674586297
Diabetes(scikit-learn) (66) 0.047619047619046
XOR (123) 0.57735026918963
anneal (3479) 0.87120828097189
anneal (3468) 0.87120828097189
anneal (3335) 0.87120828097189
anneal (3321) 0.87120828097189
Weather (123) 6.5716674586297
Weather (109) 6.5716674586297
Diabetes(scikit-learn) (70) 0.047619047619046
XOR (118) 0.5
XOR (124) 0.5
anneal (3453) 0.87120828097189
anneal (3339) 0.87120828097189
anneal (3289) 0.87120828097189
anneal (3521) 0.87120828097189
anneal (3522) 0.87120828097189
anneal (3424) 0.87120828097189
anneal (3500) 0.87120828097189
anneal (3447) 0.87120828097189
anneal (3444) 0.87120828097189
anneal (3414) 0.87120828097189
anneal (3508) 0.87120828097189
anneal (3489) 0.87120828097189
anneal (3477) 0.87120828097189
anneal (3507) 0.87120828097189
anneal (3463) 0.87120828097189
Weather (120) 6.5716674586297
TEST6538fdcb0d-pandas_testing_dataset (3)
XOR (109) 0.57735026918963
anneal (3266) 0.87120828097189
anneal (3302) 0.87120828097189
anneal (3524) 0.87120828097189
anneal (3450) 0.87120828097189
anneal (3519) 0.87120828097189
anneal (3404) 0.87120828097189
anneal (3435) 0.87120828097189
anneal (3309) 0.87120828097189
anneal (3532) 0.87120828097189
anneal (3258) 0.87120828097189
anneal (3472) 0.87120828097189
anneal (3445) 0.87120828097189
anneal (3491) 0.87120828097189
anneal (3483) 0.87120828097189
Weather (126) 6.5716674586297
TEST919b7c5358-UploadTestWithURL (1) 0.43359431136217
TESTc3df687367-XOR (1) 0.57735026918963
anneal (3484) 0.87120828097189
anneal (3512) 0.87120828097189
anneal (3420) 0.87120828097189
anneal (3318) 0.87120828097189
anneal (3486) 0.87120828097189
anneal (3440) 0.87120828097189
anneal (3288) 0.87120828097189
anneal (3251) 0.87120828097189
anneal (3294) 0.87120828097189
anneal (3553) 0.87120828097189
anneal (3577) 0.87120828097189
anneal (3558) 0.87120828097189
anneal (3503) 0.87120828097189
anneal (3504) 0.87120828097189
anneal (3562) 0.87120828097189
anneal (3473) 0.87120828097189
TEST8abef52d2c-pandas_testing_dataset (3)
XOR (122) 0.5
anneal (3509) 0.87120828097189
anneal (3571) 0.87120828097189
anneal (3495) 0.87120828097189
anneal (3487) 0.87120828097189
anneal (3446) 0.87120828097189
anneal (3540) 0.87120828097189
anneal (3529) 0.87120828097189
anneal (3581) 0.87120828097189
anneal (3575) 0.87120828097189
anneal (3493) 0.87120828097189
anneal (3416) 0.87120828097189
anneal (3408) 0.87120828097189
anneal (3545) 0.87120828097189
anneal (3478) 0.87120828097189
anneal (3497) 0.87120828097189
anneal (3482) 0.87120828097189
TESTa9749c60e8-pandas_testing_dataset (3)
anneal (3456) 0.87120828097189
anneal (3544) 0.87120828097189
anneal (3513) 0.87120828097189
anneal (3485) 0.87120828097189
anneal (3533) 0.87120828097189
anneal (3442) 0.87120828097189
anneal (3515) 0.87120828097189
anneal (3576) 0.87120828097189
Weather (116) 6.5716674586297
anneal (3557) 0.87120828097189
anneal (3385) 0.87120828097189
anneal (3362) 0.87120828097189
anneal (3592) 0.87120828097189
anneal (3583) 0.87120828097189
anneal (3600) 0.87120828097189
TEST1e8a9f8689-pandas_testing_dataset (2) 0.54772255750517
XOR (126) 0.5
anneal (3459) 0.87120828097189
anneal (3527) 0.87120828097189
anneal (3586) 0.87120828097189
anneal (3401) 0.87120828097189
anneal (3366) 0.87120828097189
anneal (3369) 0.87120828097189
TESTc8b15029f0-pandas_testing_dataset (2) 0.5
XOR (112) 0.5
XOR (129) 0.57735026918963
anneal (3501) 0.87120828097189
anneal (3578) 0.87120828097189
anneal (3626) 0.87120828097189
anneal (3614) 0.87120828097189
anneal (3543) 0.87120828097189
anneal (3598) 0.87120828097189
Weather (118) 6.5716674586297
Weather (124) 6.5716674586297
TEST6f44450de5-pandas_testing_dataset (3)
anneal (3574) 0.87120828097189
anneal (3394) 0.87120828097189
anneal (3594) 0.87120828097189
anneal (3551) 0.87120828097189
anneal (3537) 0.87120828097189
anneal (3628) 0.87120828097189
anneal (3640) 0.87120828097189
Weather (128) 6.5716674586297
TESTa4c79c414f-pandas_testing_dataset (3) 0.54772255750517
anneal (3654) 0.87120828097189
anneal (3595) 0.87120828097189
anneal (3632) 0.87120828097189
anneal (3618) 0.87120828097189
anneal (3619) 0.87120828097189
anneal (3606) 0.87120828097189
anneal (3539) 0.87120828097189
anneal (3561) 0.87120828097189
Diabetes(scikit-learn) (69) 0.047619047619046
anneal (3579) 0.87120828097189
anneal (3402) 0.87120828097189
anneal (3417) 0.87120828097189
anneal (3622) 0.87120828097189
Weather (129) 6.5716674586297
Weather (125) 6.5716674586297
Diabetes(scikit-learn) (72) 0.047619047619046
XOR (130) 0.5
XOR (128) 0.5
anneal (3636) 0.87120828097189
anneal (3651) 0.87120828097189
anneal (3624) 0.87120828097189
anneal (3629) 0.87120828097189
anneal (3645) 0.87120828097189
anneal (3668) 0.87120828097189
anneal (3570) 0.87120828097189
anneal (3279) 0.87120828097189
TEST54b390dc79-pandas_testing_dataset (1) 5.9833101206606
anneal (3565) 0.87120828097189
anneal (3671) 0.87120828097189
anneal (3647) 0.87120828097189
anneal (3637) 0.87120828097189
anneal (3608) 0.87120828097189
anneal (3639) 0.87120828097189
anneal (3680) 0.87120828097189
anneal (3661) 0.87120828097189
anneal (3616) 0.87120828097189
anneal (3641) 0.87120828097189
anneal (3676) 0.87120828097189
anneal (3683) 0.87120828097189
anneal (3602) 0.87120828097189
anneal (3649) 0.87120828097189
anneal (3587) 0.87120828097189
anneal (3607) 0.87120828097189
anneal (3528) 0.87120828097189
anneal (3609) 0.87120828097189
anneal (3377) 0.87120828097189
anneal (3689) 0.87120828097189
anneal (3567) 0.87120828097189
anneal (3573) 0.87120828097189
anneal (3591) 0.87120828097189
anneal (3454) 0.87120828097189
anneal (3525) 0.87120828097189
anneal (3685) 0.87120828097189
anneal (3702) 0.87120828097189
anneal (3373) 0.87120828097189
anneal (3582) 0.87120828097189
anneal (3663) 0.87120828097189
anneal (3695) 0.87120828097189
anneal (3659) 0.87120828097189
anneal (3694) 0.87120828097189
anneal (3655) 0.87120828097189
anneal (3580) 0.87120828097189
TESTe6bc12249f-pandas_testing_dataset (4) 0.54772255750517
anneal (3610) 0.87120828097189
anneal (3713) 0.87120828097189
anneal (3496) 0.87120828097189
anneal (3422) 0.87120828097189
anneal (3260) 0.87120828097189
anneal (3534) 0.87120828097189
anneal (3675) 0.87120828097189
Weather (121) 6.5716674586297
anneal (3700) 0.87120828097189
anneal (3516) 0.87120828097189
anneal (3712) 0.87120828097189
anneal (3728) 0.87120828097189
anneal (3669) 0.87120828097189
anneal (3690) 0.87120828097189
TEST94d4a334e6-ModifiedWeather (1) 6.5716674586297
Diabetes(scikit-learn) (68) 0.047619047619046
TESTe6bc12249f-pandas_testing_dataset (1) 0.54772255750517
anneal (3730) 0.87120828097189
anneal (3733) 0.87120828097189
anneal (3584) 0.87120828097189
anneal (3498) 0.87120828097189
anneal (3742) 0.87120828097189
anneal (3745) 0.87120828097189
anneal (3674) 0.87120828097189
XOR (127) 0.57735026918963
anneal (3725) 0.87120828097189
anneal (3541) 0.87120828097189
anneal (3517) 0.87120828097189
anneal (3681) 0.87120828097189
anneal (3724) 0.87120828097189
anneal (3726) 0.87120828097189
anneal (3612) 0.87120828097189
Weather (131) 6.5716674586297
TESTe6bc12249f-pandas_testing_dataset (3) 0.54772255750517
anneal (3737) 0.87120828097189
anneal (3623) 0.87120828097189
anneal (3687) 0.87120828097189
anneal (3662) 0.87120828097189
anneal (3747) 0.87120828097189
anneal (3717) 0.87120828097189
anneal (3697) 0.87120828097189
anneal (3653) 0.87120828097189
XOR (125) 0.57735026918963
anneal (3615) 0.87120828097189
anneal (3734) 0.87120828097189
anneal (3664) 0.87120828097189
anneal (3722) 0.87120828097189
anneal (3548) 0.87120828097189
anneal (3511) 0.87120828097189
anneal (3751) 0.87120828097189
Weather (110) 6.5716674586297
TESTe6bc12249f-pandas_testing_dataset (2) 0.54772255750517
anneal (3691) 0.87120828097189
anneal (3428) 0.87120828097189
anneal (3757) 0.87120828097189
anneal (3572) 0.87120828097189
anneal (3768) 0.87120828097189
anneal (3505) 0.87120828097189
anneal (3711) 0.87120828097189
Diabetes(scikit-learn) (74) 0.047619047619046
XOR (131) 0.57735026918963
anneal (3782) 0.87120828097189
anneal (3520) 0.87120828097189
anneal (3564) 0.87120828097189
anneal (3547) 0.87120828097189
anneal (3723) 0.87120828097189
anneal (3531) 0.87120828097189
anneal (3605) 0.87120828097189
anneal (3714) 0.87120828097189
XOR (134) 0.5
anneal (3426) 0.87120828097189
anneal (3715) 0.87120828097189
anneal (3559) 0.87120828097189
anneal (3787) 0.87120828097189
anneal (3599) 0.87120828097189
anneal (3776) 0.87120828097189
Weather (135) 6.5716674586297
Weather (130) 6.5716674586297
anneal (3786) 0.87120828097189
anneal (3729) 0.87120828097189
anneal (3765) 0.87120828097189
anneal (3750) 0.87120828097189
anneal (3746) 0.87120828097189
anneal (3791) 0.87120828097189
Weather (133) 6.5716674586297
TEST085125c854-pandas_testing_dataset (3)
Diabetes(scikit-learn) (73) 0.047619047619046
anneal (3789) 0.87120828097189
anneal (3673) 0.87120828097189
anneal (3703) 0.87120828097189
anneal (3646) 0.87120828097189
anneal (3744) 0.87120828097189
anneal (3749) 0.87120828097189
anneal (3784) 0.87120828097189
anneal (3812) 0.87120828097189
TESTf3f2efc8aa-pandas_testing_dataset (1) 5.9833101206606
anneal (3686) 0.87120828097189
anneal (3772) 0.87120828097189
anneal (3761) 0.87120828097189
anneal (3638) 0.87120828097189
anneal (3556) 0.87120828097189
anneal (3644) 0.87120828097189
anneal (3670) 0.87120828097189
TESTa2e42797c2-pandas_testing_dataset (3)
XOR (135) 0.57735026918963
anneal (3699) 0.87120828097189
anneal (3620) 0.87120828097189
anneal (3630) 0.87120828097189
anneal (3807) 0.87120828097189
anneal (3810) 0.87120828097189
anneal (3785) 0.87120828097189
anneal (3760) 0.87120828097189
Weather (127) 6.5716674586297
Weather (136) 6.5716674586297
anneal (3826) 0.87120828097189
anneal (3535) 0.87120828097189
anneal (3658) 0.87120828097189
anneal (3763) 0.87120828097189
anneal (3800) 0.87120828097189
anneal (3774) 0.87120828097189
Weather (113) 6.5716674586297
anneal (3794) 0.87120828097189
anneal (3855) 0.87120828097189
anneal (3806) 0.87120828097189
anneal (3852) 0.87120828097189
Weather (134) 6.5716674586297
Weather (132) 6.5716674586297
TESTa9e19666af-pandas_testing_dataset (1) 0.54772255750517
XOR (136) 0.5
anneal (3858) 0.87120828097189
anneal (3825) 0.87120828097189
anneal (3819) 0.87120828097189
anneal (3631) 0.87120828097189
anneal (3814) 0.87120828097189
anneal (3847) 0.87120828097189
anneal (3758) 0.87120828097189
anneal (3845) 0.87120828097189
TESTc3b8794b94-pandas_testing_dataset (3)
anneal (3849) 0.87120828097189
anneal (3769) 0.87120828097189
anneal (3704) 0.87120828097189
anneal (3864) 0.87120828097189
anneal (3860) 0.87120828097189
anneal (3770) 0.87120828097189
anneal (3773) 0.87120828097189
TESTac9fd4dd46-ModifiedWeather (1) 6.5716674586297
TEST48081c5081-pandas_testing_dataset (3)
anneal (3886) 0.87120828097189
anneal (3865) 0.87120828097189
anneal (3813) 0.87120828097189
anneal (3740) 0.87120828097189
anneal (3780) 0.87120828097189
anneal (3840) 0.87120828097189
anneal (3829) 0.87120828097189
TESTcf84fd1fd2-pandas_testing_dataset (3)
XOR (133) 0.57735026918963
anneal (3842) 0.87120828097189
anneal (3851) 0.87120828097189
anneal (3568) 0.87120828097189
anneal (3897) 0.87120828097189
anneal (3778) 0.87120828097189
anneal (3877) 0.87120828097189
anneal (3756) 0.87120828097189
anneal (3883) 0.87120828097189
anneal (3432) 0.87120828097189
anneal (3799) 0.87120828097189
anneal (3900) 0.87120828097189
anneal (3753) 0.87120828097189
anneal (3650) 0.87120828097189
anneal (3797) 0.87120828097189
anneal (3766) 0.87120828097189
anneal (3892) 0.87120828097189
anneal (3871) 0.87120828097189
TEST03dd1e0c2c-pandas_testing_dataset (3)
anneal (3798) 0.87120828097189
anneal (3792) 0.87120828097189
anneal (3589) 0.87120828097189
anneal (3552) 0.87120828097189
anneal (3891) 0.87120828097189
anneal (3817) 0.87120828097189
TESTb8a3cbf37d-pandas_testing_dataset (3) 0.54772255750517
XOR (132) 0.5
XOR (137) 0.57735026918963
anneal (3804) 0.87120828097189
anneal (3555) 0.87120828097189
anneal (3824) 0.87120828097189