Measure

kNN1NKappa

Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk

Value per dataset

Weather (59) 0.42857142857143
Diabetes(scikit-learn) (33)
XOR (61)
Weather (63) 0.42857142857143
Diabetes(scikit-learn) (36)
XOR (65)
Weather (67) 0.42857142857143
Weather (60) 0.37777777777778
XOR (62)
anneal (1371) 0.75232927819956
anneal (1651) 0.75232927819956
Weather (61) 0.42857142857143
anneal (1654) 0.75232927819956
anneal (1560) 0.75232927819956
XOR (68)
Weather (69) 0.42857142857143
Weather (65) 0.42857142857143
Diabetes(scikit-learn) (39)
XOR (66)
XOR (69)
XOR (71)
Weather (66) 0.37777777777778
anneal (1796) 0.75232927819956
Diabetes(scikit-learn) (35)
Diabetes(scikit-learn) (37)
anneal (1917) 0.75232927819956
Weather (71) 0.42857142857143
XOR (70)
Diabetes(scikit-learn) (40)
XOR (72)
XOR (50)
XOR (67)
XOR (76)
anneal (1918) 0.75232927819956
Weather (76) 0.37777777777778
Weather (73) 0.42857142857143
Weather (75) 0.42857142857143
XOR (74)
XOR (73)
Weather (72) 0.37777777777778
anneal (2036) 0.75232927819956
Weather (79) 0.37777777777778
Diabetes(scikit-learn) (43)
Weather (74) 0.37777777777778
Weather (68) 0.37777777777778
Diabetes(scikit-learn) (41)
Weather (70) 0.37777777777778
XOR (80)
Diabetes(scikit-learn) (38)
Diabetes(scikit-learn) (42)
XOR (79)
anneal (1797) 0.75232927819956
XOR (75)
Weather (80) 0.37777777777778
Weather (78) 0.42857142857143
Weather (77) 0.42857142857143
Diabetes(scikit-learn) (44)
Weather (83) 0.42857142857143
XOR (82)
Diabetes(scikit-learn) (45)
XOR (77)
Weather (84) 0.37777777777778
XOR (78)
anneal (2035) 0.75232927819956
Weather (82) 0.37777777777778
XOR (88)
anneal (2158) 0.75232927819956
Weather (81) 0.42857142857143
XOR (84)
Weather (85) 0.42857142857143
XOR (81)
anneal (2280) 0.75232927819956
Diabetes(scikit-learn) (46)
XOR (85)
XOR (87)
XOR (86)
Weather (86) 0.37777777777778
anneal (2281) 0.75232927819956
Weather (87) 0.42857142857143
Weather (88) 0.37777777777778
XOR (83)
Diabetes(scikit-learn) (47)
iris (2) 0.91
iris-challenge (1) 0.86132005509058
XOR (4)
anneal (38) 0.75232927819956
Weather (3) 0.42857142857143
Diabetes(scikit-learn) (1)
XOR (1)
Weather (1) 0.42857142857143
Weather (4) 0.37777777777778
Diabetes(scikit-learn) (2)
XOR (2)
XOR (3)
anneal (36) 0.75232927819956
Weather (2) 0.37777777777778
Diabetes(scikit-learn) (3)
anneal (90) 0.75232927819956
anneal (87) 0.75232927819956
Weather (7) 0.42857142857143
Weather (6) 0.37777777777778
Weather (8) 0.37777777777778
Diabetes(scikit-learn) (5)
Diabetes(scikit-learn) (4)
XOR (8)
XOR (5)
XOR (6)
Weather (5) 0.42857142857143
XOR (7)
Weather (11) 0.42857142857143
XOR (10)
XOR (11)
XOR (9)
XOR (12)
Diabetes(scikit-learn) (7)
Weather (9) 0.42857142857143
anneal (210) 0.75232927819956
Weather (10) 0.37777777777778
Weather (12) 0.37777777777778
Diabetes(scikit-learn) (6)
anneal (211) 0.75232927819956
iris (4) 0.91
iris (3)
anneal (216) 0.75232927819956
anneal (217) 0.75232927819956
Diabetes(scikit-learn) (9)
anneal (254) 0.75232927819956
Weather (15) 0.42857142857143
XOR (14)
XOR (15)
Weather (13) 0.42857142857143
Weather (16) 0.37777777777778
anneal (259) 0.75232927819956
Weather (14) 0.37777777777778
XOR (13)
XOR (16)
Weather (18) 0.37777777777778
XOR (18)
Diabetes(scikit-learn) (10)
XOR (17)
Diabetes(scikit-learn) (8)
Weather (17) 0.42857142857143
Weather (19) 0.42857142857143
Weather (20) 0.37777777777778
Diabetes(scikit-learn) (11)
XOR (20)
XOR (19)
Weather (23) 0.42857142857143
Weather (22) 0.37777777777778
XOR (24)
XOR (23)
Diabetes(scikit-learn) (13)
anneal (391) 0.75232927819956
Weather (21) 0.42857142857143
XOR (21)
Diabetes(scikit-learn) (12)
anneal (392) 0.75232927819956
XOR (22)
Weather (24) 0.37777777777778
anneal (509) 0.75232927819956
Weather (25) 0.42857142857143
XOR (26)
XOR (25)
XOR (28)
Weather (28) 0.37777777777778
Weather (27) 0.42857142857143
Weather (26) 0.37777777777778
Diabetes(scikit-learn) (14)
XOR (27)
anneal (510) 0.75232927819956
Diabetes(scikit-learn) (15)
Diabetes(scikit-learn) (17)
Weather (29) 0.42857142857143
Weather (31) 0.42857142857143
XOR (30)
XOR (31)
Weather (32) 0.37777777777778
Diabetes(scikit-learn) (16)
Weather (30) 0.37777777777778
XOR (32)
anneal (636) 0.75232927819956
XOR (29)
anneal (633) 0.75232927819956
XOR (34)
Weather (34) 0.37777777777778
XOR (33)
anneal (751) 0.75232927819956
Weather (33) 0.42857142857143
Diabetes(scikit-learn) (18)
anneal (867) 0.75232927819956
anneal (866) 0.75232927819956
Diabetes(scikit-learn) (20)
Diabetes(scikit-learn) (19)
XOR (35)
Weather (36) 0.37777777777778
Diabetes(scikit-learn) (21)
XOR (36)
Weather (35) 0.42857142857143
anneal (887) 0.75232927819956
XOR (38)
XOR (39)
XOR (37)
Weather (39) 0.42857142857143
XOR (40)
Diabetes(scikit-learn) (22)
anneal (1012) 0.75232927819956
Weather (38) 0.37777777777778
Diabetes(scikit-learn) (23)
Weather (37) 0.42857142857143
anneal (1013) 0.75232927819956
Weather (40) 0.37777777777778
Weather (44) 0.37777777777778
XOR (43)
XOR (41)
anneal (1131) 0.82611029389283
Weather (43) 0.37777777777778
Diabetes(scikit-learn) (25)
anneal (1130) 0.75232927819956
Weather (41) 0.42857142857143
XOR (42)
Diabetes(scikit-learn) (24)
XOR (44)
Weather (42) 0.42857142857143
iris (6) 0.91
iris (5)
Weather (45) 0.42857142857143
XOR (48)
XOR (45)
Diabetes(scikit-learn) (26)
anneal (1251) 0.75232927819956
Weather (46) 0.37777777777778
XOR (46)
Weather (47) 0.42857142857143
XOR (47)
Weather (48) 0.37777777777778
anneal (1250) 0.75232927819956
Diabetes(scikit-learn) (27)
kits (1) 0.13528055342045
XOR (49)
anneal (1370) 0.75232927819956
Weather (49) 0.42857142857143
anneal (1453) 0.75232927819956
Weather (51) 0.42857142857143
Weather (53) 0.42857142857143
Weather (54) 0.37777777777778
Diabetes(scikit-learn) (28)
Weather (55) 0.42857142857143
Weather (52) 0.37777777777778
Weather (56) 0.37777777777778
Weather (58) 0.37777777777778
XOR (54)
Weather (50) 0.37777777777778
Diabetes(scikit-learn) (32)
PCam (1) 0.27752261711477
Diabetes(scikit-learn) (31)
Diabetes(scikit-learn) (29)
XOR (53)
XOR (60)
XOR (52)
Weather (57) 0.42857142857143
XOR (58)
XOR (55)
anneal (1454) 0.75232927819956
XOR (56)
XOR (57)
Weather (64) 0.37777777777778
Weather (62) 0.37777777777778
Diabetes(scikit-learn) (30)
anneal (1486) 0.75232927819956
XOR (64)
anneal (1563) 0.75232927819956
XOR (59)
XOR (63)
Diabetes(scikit-learn) (34)
XOR (89)
Diabetes(scikit-learn) (48)
Weather (90) 0.37777777777778
XOR (92)
Weather (92) 0.37777777777778
XOR (91)
Diabetes(scikit-learn) (49)
anneal (2381) 0.75232927819956
Weather (89) 0.42857142857143
anneal (2406) 0.75232927819956
XOR (90)
Weather (91) 0.42857142857143
anneal (2561) 0.75232927819956
Diabetes(scikit-learn) (50)
Diabetes(scikit-learn) (51)
anneal (2559) 0.75232927819956
Weather (94) 0.37777777777778
Diabetes(scikit-learn) (53)
iris (7)
XOR (104)
XOR (98)
XOR (97)
XOR (103)
anneal (2786) 0.75232927819956
anneal (3213) 0.75232927819956
Weather (107) 0.42857142857143
Weather (93) 0.42857142857143
Weather (108) 0.37777777777778
Diabetes(scikit-learn) (60)
Diabetes(scikit-learn) (58)
Diabetes(scikit-learn) (59)
XOR (108)
anneal (2923) 0.75232927819956
anneal (2836) 0.75232927819956
Weather (97) 0.42857142857143
Weather (103) 0.42857142857143
Weather (104) 0.37777777777778
Diabetes(scikit-learn) (52)
XOR (106)
XOR (101)
XOR (107)
anneal (3208) 0.75232927819956
Weather (105) 0.42857142857143
Weather (106) 0.37777777777778
iris (8) 0.91
Diabetes(scikit-learn) (57)
Diabetes(scikit-learn) (56)
XOR (99)
XOR (105)
XOR (93)
anneal (3082) 0.75232927819956
Weather (99) 0.42857142857143
Weather (95) 0.42857142857143
Weather (102) 0.37777777777778
Weather (96) 0.37777777777778
Weather (98) 0.37777777777778
Diabetes(scikit-learn) (61)
XOR (94)
XOR (102)
anneal (3088) 0.75232927819956
anneal (2932) 0.75232927819956
anneal (2783) 0.75232927819956
Weather (101) 0.42857142857143
Weather (100) 0.37777777777778
Diabetes(scikit-learn) (54)
Diabetes(scikit-learn) (55)
XOR (96)
XOR (95)
XOR (100)
test (2) 0.91
test (1) 0.91
test (4) 0.91
test (3) 0.91
test (11) 0.91
test (12) 0.91
test (5) 0.91
test (6) 0.91
test (7) 0.91
test (10) 0.91
test (8) 0.91
test (9) 0.91
test (15) 0.91
test (13) 0.91
test (16) 0.91
test (14) 0.91
test (19) 0.91
test (17) 0.91
test (20) 0.91
test (18) 0.91
test (21) 0.91
test (23) 0.91
test (24) 0.91
test (22) 0.91
test (25) 0.91
test (26) 0.91
test (29) 0.91
test (28) 0.91
test (27) 0.91
test (31) 0.91
test (30) 0.91
test (37) 0.91
test (35) 0.91
test (33) 0.91
test (38) 0.91
test (36) 0.91
test (32) 0.91
test (34) 0.91
test (39) 0.91
test (40) 0.91
test (42) 0.91
test (47) 0.91
test (43) 0.91
test (46) 0.91
test (41) 0.91
test (44) 0.91
test (48) 0.91
test (58) 0.91
test (55) 0.91
test (51) 0.91
test (57) 0.91
test (52) 0.91
test (49) 0.91
test (53) 0.91
test (54) 0.91
test (65) 0.91
test (66) 0.91
test (61) 0.91
test (64) 0.91
test (63) 0.91
test (62) 0.91
test (72) 0.91
test (67) 0.91
test (68) 0.91
test (74) 0.91
test (73) 0.91
test (71) 0.91
test (75) 0.91
test (69) 0.91
test (70) 0.91
test (77) 0.91
test (78) 0.91
test (76) 0.91
test (81) 0.91
test (79) 0.91
test (84) 0.91
test (83) 0.91
test (80) 0.91
test (82) 0.91
test (87) 0.91
test (89) 0.91
test (86) 0.91
test (88) 0.91
test (85) 0.91
test (90) 0.91
test (92) 0.91
test (93) 0.91
test (91) 0.91
iris (10) 0.91
iris (9)
anneal (3328) 0.82611029389283
anneal (3320) 0.82611029389283
anneal (3336) 0.82611029389283
anneal (3245) 0.82611029389283
anneal (3272) 0.82611029389283
anneal (3278) 0.82611029389283
anneal (3247) 0.82611029389283
anneal (3307) 0.82611029389283
anneal (3281) 0.75232927819956
anneal (3355) 0.82611029389283
anneal (3329) 0.82611029389283
anneal (3352) 0.82611029389283
anneal (3285) 0.82611029389283
anneal (3333) 0.82611029389283
anneal (3347) 0.82611029389283
anneal (3275) 0.82611029389283
Weather (111) 0.42857142857143
Weather (114) 0.37777777777778
anneal (3305) 0.82611029389283
anneal (3295) 0.82611029389283
anneal (3274) 0.82611029389283
anneal (3348) 0.82611029389283
anneal (3360) 0.75232927819956
Weather (115) 0.42857142857143
TESTd9efb4c2e9-pandas_testing_dataset (3) -0.25
Diabetes(scikit-learn) (64)
XOR (111)
anneal (3338) 0.82611029389283
anneal (3312) 0.82611029389283
anneal (3319) 0.82611029389283
anneal (3311) 0.82611029389283
anneal (3256) 0.82611029389283
anneal (3325) 0.82611029389283
anneal (3357) 0.75232927819956
TEST9dd8d65a51-pandas_testing_dataset (3) -0.25
XOR (110)
anneal (3324) 0.82611029389283
OxfordPets (1) 0.012165956119372
anneal (3313) 0.82611029389283
anneal (3250) 0.82611029389283
anneal (3314) 0.82611029389283
anneal (3282) 0.82611029389283
anneal (3349) 0.82611029389283
TESTbf391b99e0-pandas_testing_dataset (3) -0.25
XOR (114)
anneal (3340) 0.82611029389283
anneal (3267) 0.82611029389283
anneal (3387) 0.82611029389283
anneal (3332) 0.82611029389283
anneal (3249) 0.82611029389283
anneal (3351) 0.82611029389283
anneal (3261) 0.82611029389283
anneal (3253) 0.82611029389283
anneal (3353) 0.82611029389283
anneal (3317) 0.82611029389283
anneal (3380) 0.82611029389283
anneal (3277) 0.82611029389283
anneal (3326) 0.82611029389283
anneal (3299) 0.82611029389283
anneal (3304) 0.82611029389283
Weather (112) 0.37777777777778
Diabetes(scikit-learn) (63)
TEST23cffc1ee9-XOR (1)
anneal (3286) 0.82611029389283
anneal (3283) 0.82611029389283
anneal (3257) 0.82611029389283
anneal (3397) 0.82611029389283
anneal (3354) 0.82611029389283
anneal (3378) 0.82611029389283
anneal (3392) 0.82611029389283
Diabetes(scikit-learn) (62)
XOR (116)
anneal (3298) 0.82611029389283
anneal (3365) 0.82611029389283
anneal (3396) 0.82611029389283
anneal (3242) 0.82611029389283
anneal (3255) 0.82611029389283
anneal (3297) 0.82611029389283
anneal (3291) 0.82611029389283
anneal (3356) 0.82611029389283
anneal (3323) 0.82611029389283
anneal (3262) 0.82611029389283
anneal (3418) 0.82611029389283
anneal (3342) 0.82611029389283
anneal (3376) 0.82611029389283
anneal (3425) 0.82611029389283
anneal (3388) 0.82611029389283
anneal (3303) 0.82611029389283
TESTfd21f54117-ModifiedWeather (1)
XOR (115)
anneal (3370) 0.82611029389283
anneal (3273) 0.82611029389283
anneal (3382) 0.82611029389283
anneal (3359) 0.82611029389283
anneal (3243) 0.82611029389283
anneal (3393) 0.82611029389283
anneal (3300) 0.82611029389283
anneal (3413) 0.82611029389283
Weather (117) 0.42857142857143
anneal (3264) 0.82611029389283
anneal (3434) 0.82611029389283
anneal (3384) 0.82611029389283
anneal (3315) 0.82611029389283
anneal (3322) 0.82611029389283
anneal (3381) 0.82611029389283
anneal (3433) 0.82611029389283
anneal (3364) 0.82611029389283
Weather (119) 0.42857142857143
anneal (3361) 0.82611029389283
anneal (3436) 0.82611029389283
anneal (3410) 0.82611029389283
anneal (3375) 0.82611029389283
anneal (3449) 0.82611029389283
anneal (3265) 0.82611029389283
Diabetes(scikit-learn) (65)
XOR (117)
anneal (3398) 0.82611029389283
anneal (3469) 0.82611029389283
anneal (3441) 0.82611029389283
anneal (3448) 0.82611029389283
anneal (3400) 0.82611029389283
anneal (3244) 0.82611029389283
anneal (3470) 0.82611029389283
anneal (3419) 0.82611029389283
XOR (119)
anneal (3411) 0.82611029389283
anneal (3327) 0.82611029389283
anneal (3310) 0.82611029389283
anneal (3409) 0.82611029389283
anneal (3474) 0.82611029389283
anneal (3455) 0.82611029389283
anneal (3405) 0.82611029389283
anneal (3287) 0.82611029389283
XOR (120)
anneal (3330) 0.82611029389283
anneal (3460) 0.82611029389283
anneal (3467) 0.82611029389283
anneal (3371) 0.82611029389283
anneal (3481) 0.82611029389283
anneal (3368) 0.82611029389283
anneal (3350) 0.82611029389283
TESTf9806cfccd-pandas_testing_dataset (3) -0.25
XOR (121)
anneal (3451) 0.82611029389283
anneal (3292) 0.82611029389283
anneal (3475) 0.82611029389283
anneal (3471) 0.82611029389283
anneal (3263) 0.82611029389283
anneal (3429) 0.82611029389283
TESTa4b439778d-pandas_testing_dataset (3) -0.25
Diabetes(scikit-learn) (67)
XOR (113)
anneal (3406) 0.82611029389283
anneal (3457) 0.82611029389283
anneal (3268) 0.82611029389283
anneal (3386) 0.82611029389283
anneal (3492) 0.82611029389283
anneal (3438) 0.82611029389283
Weather (122) 0.37777777777778
Diabetes(scikit-learn) (66)
XOR (123)
anneal (3479) 0.82611029389283
anneal (3468) 0.82611029389283
anneal (3335) 0.82611029389283
anneal (3321) 0.82611029389283
Weather (123) 0.42857142857143
Weather (109) 0.42857142857143
Diabetes(scikit-learn) (70)
XOR (118)
XOR (124)
anneal (3453) 0.82611029389283
anneal (3339) 0.82611029389283
anneal (3289) 0.82611029389283
anneal (3521) 0.82611029389283
anneal (3522) 0.82611029389283
anneal (3424) 0.82611029389283
anneal (3500) 0.82611029389283
anneal (3447) 0.82611029389283
anneal (3444) 0.82611029389283
anneal (3414) 0.82611029389283
anneal (3508) 0.82611029389283
anneal (3489) 0.82611029389283
anneal (3477) 0.82611029389283
anneal (3507) 0.82611029389283
anneal (3463) 0.75232927819956
Weather (120) 0.37777777777778
TEST6538fdcb0d-pandas_testing_dataset (3) -0.25
XOR (109)
anneal (3266) 0.82611029389283
anneal (3302) 0.82611029389283
anneal (3524) 0.82611029389283
anneal (3450) 0.82611029389283
anneal (3519) 0.82611029389283
anneal (3404) 0.82611029389283
anneal (3435) 0.82611029389283
anneal (3309) 0.82611029389283
anneal (3532) 0.82611029389283
anneal (3258) 0.82611029389283
anneal (3472) 0.82611029389283
anneal (3445) 0.82611029389283
anneal (3491) 0.82611029389283
anneal (3483) 0.75232927819956
Weather (126) 0.37777777777778
TEST919b7c5358-UploadTestWithURL (1)
TESTc3df687367-XOR (1)
anneal (3484) 0.82611029389283
anneal (3512) 0.82611029389283
anneal (3420) 0.82611029389283
anneal (3318) 0.82611029389283
anneal (3486) 0.82611029389283
anneal (3440) 0.82611029389283
anneal (3288) 0.82611029389283
anneal (3251) 0.82611029389283
anneal (3294) 0.82611029389283
anneal (3553) 0.82611029389283
anneal (3577) 0.82611029389283
anneal (3558) 0.82611029389283
anneal (3503) 0.82611029389283
anneal (3504) 0.82611029389283
anneal (3562) 0.82611029389283
anneal (3473) 0.82611029389283
TEST8abef52d2c-pandas_testing_dataset (3) -0.25
XOR (122)
anneal (3509) 0.82611029389283
anneal (3571) 0.82611029389283
anneal (3495) 0.82611029389283
anneal (3487) 0.82611029389283
anneal (3446) 0.82611029389283
anneal (3540) 0.82611029389283
anneal (3529) 0.82611029389283
anneal (3581) 0.82611029389283
anneal (3575) 0.82611029389283
anneal (3493) 0.82611029389283
anneal (3416) 0.82611029389283
anneal (3408) 0.82611029389283
anneal (3545) 0.82611029389283
anneal (3478) 0.82611029389283
anneal (3497) 0.82611029389283
anneal (3482) 0.75232927819956
TESTa9749c60e8-pandas_testing_dataset (3) -0.25
anneal (3456) 0.82611029389283
anneal (3544) 0.82611029389283
anneal (3513) 0.82611029389283
anneal (3485) 0.82611029389283
anneal (3533) 0.82611029389283
anneal (3442) 0.82611029389283
anneal (3515) 0.82611029389283
anneal (3576) 0.82611029389283
Weather (116) 0.37777777777778
anneal (3557) 0.82611029389283
anneal (3385) 0.82611029389283
anneal (3362) 0.82611029389283
anneal (3592) 0.82611029389283
anneal (3583) 0.82611029389283
anneal (3600) 0.82611029389283
TEST1e8a9f8689-pandas_testing_dataset (2)
XOR (126)
anneal (3459) 0.82611029389283
anneal (3527) 0.82611029389283
anneal (3586) 0.82611029389283
anneal (3401) 0.82611029389283
anneal (3366) 0.82611029389283
anneal (3369) 0.82611029389283
TESTc8b15029f0-pandas_testing_dataset (2)
XOR (112)
XOR (129)
anneal (3501) 0.82611029389283
anneal (3578) 0.82611029389283
anneal (3626) 0.82611029389283
anneal (3614) 0.82611029389283
anneal (3543) 0.82611029389283
anneal (3598) 0.82611029389283
Weather (118) 0.37777777777778
Weather (124) 0.37777777777778
TEST6f44450de5-pandas_testing_dataset (3) -0.25
anneal (3574) 0.82611029389283
anneal (3394) 0.82611029389283
anneal (3594) 0.82611029389283
anneal (3551) 0.82611029389283
anneal (3537) 0.82611029389283
anneal (3628) 0.82611029389283
anneal (3640) 0.82611029389283
Weather (128) 0.37777777777778
TESTa4c79c414f-pandas_testing_dataset (3)
anneal (3654) 0.82611029389283
anneal (3595) 0.82611029389283
anneal (3632) 0.82611029389283
anneal (3618) 0.82611029389283
anneal (3619) 0.82611029389283
anneal (3606) 0.82611029389283
anneal (3539) 0.82611029389283
anneal (3561) 0.82611029389283
Diabetes(scikit-learn) (69)
anneal (3579) 0.82611029389283
anneal (3402) 0.82611029389283
anneal (3417) 0.82611029389283
anneal (3622) 0.82611029389283
Weather (129) 0.42857142857143
Weather (125) 0.42857142857143
Diabetes(scikit-learn) (72)
XOR (130)
XOR (128)
anneal (3636) 0.82611029389283
anneal (3651) 0.82611029389283
anneal (3624) 0.82611029389283
anneal (3629) 0.82611029389283
anneal (3645) 0.82611029389283
anneal (3668) 0.82611029389283
anneal (3570) 0.82611029389283
anneal (3279) 0.82611029389283
TEST54b390dc79-pandas_testing_dataset (1)
anneal (3565) 0.82611029389283
anneal (3671) 0.82611029389283
anneal (3647) 0.82611029389283
anneal (3637) 0.82611029389283
anneal (3608) 0.82611029389283
anneal (3639) 0.82611029389283
anneal (3680) 0.82611029389283
anneal (3661) 0.82611029389283
anneal (3616) 0.82611029389283
anneal (3641) 0.82611029389283
anneal (3676) 0.82611029389283
anneal (3683) 0.82611029389283
anneal (3602) 0.82611029389283
anneal (3649) 0.82611029389283
anneal (3587) 0.82611029389283
anneal (3607) 0.82611029389283
anneal (3528) 0.82611029389283
anneal (3609) 0.75232927819956
anneal (3377) 0.82611029389283
anneal (3689) 0.82611029389283
anneal (3567) 0.82611029389283
anneal (3573) 0.82611029389283
anneal (3591) 0.82611029389283
anneal (3454) 0.82611029389283
anneal (3525) 0.82611029389283
anneal (3685) 0.82611029389283
anneal (3702) 0.82611029389283
anneal (3373) 0.82611029389283
anneal (3582) 0.82611029389283
anneal (3663) 0.82611029389283
anneal (3695) 0.82611029389283
anneal (3659) 0.82611029389283
anneal (3694) 0.82611029389283
anneal (3655) 0.82611029389283
anneal (3580) 0.82611029389283
TESTe6bc12249f-pandas_testing_dataset (4)
anneal (3610) 0.82611029389283
anneal (3713) 0.82611029389283
anneal (3496) 0.82611029389283
anneal (3422) 0.82611029389283
anneal (3260) 0.82611029389283
anneal (3534) 0.82611029389283
anneal (3675) 0.82611029389283
Weather (121) 0.42857142857143
anneal (3700) 0.82611029389283
anneal (3516) 0.82611029389283
anneal (3712) 0.82611029389283
anneal (3728) 0.82611029389283
anneal (3669) 0.82611029389283
anneal (3690) 0.82611029389283
TEST94d4a334e6-ModifiedWeather (1)
Diabetes(scikit-learn) (68)
TESTe6bc12249f-pandas_testing_dataset (1)
anneal (3730) 0.82611029389283
anneal (3733) 0.82611029389283
anneal (3584) 0.82611029389283
anneal (3498) 0.82611029389283
anneal (3742) 0.82611029389283
anneal (3745) 0.82611029389283
anneal (3674) 0.82611029389283
XOR (127)
anneal (3725) 0.82611029389283
anneal (3541) 0.82611029389283
anneal (3517) 0.82611029389283
anneal (3681) 0.82611029389283
anneal (3724) 0.82611029389283
anneal (3726) 0.82611029389283
anneal (3612) 0.75232927819956
Weather (131) 0.42857142857143
TESTe6bc12249f-pandas_testing_dataset (3)
anneal (3737) 0.82611029389283
anneal (3623) 0.82611029389283
anneal (3687) 0.82611029389283
anneal (3662) 0.82611029389283
anneal (3747) 0.82611029389283
anneal (3717) 0.82611029389283
anneal (3697) 0.82611029389283
anneal (3653) 0.82611029389283
XOR (125)
anneal (3615) 0.82611029389283
anneal (3734) 0.82611029389283
anneal (3664) 0.82611029389283
anneal (3722) 0.82611029389283
anneal (3548) 0.82611029389283
anneal (3511) 0.82611029389283
anneal (3751) 0.75232927819956
Weather (110) 0.37777777777778
TESTe6bc12249f-pandas_testing_dataset (2)
anneal (3691) 0.82611029389283
anneal (3428) 0.82611029389283
anneal (3757) 0.82611029389283
anneal (3572) 0.82611029389283
anneal (3768) 0.82611029389283
anneal (3505) 0.82611029389283
anneal (3711) 0.82611029389283
Diabetes(scikit-learn) (74)
XOR (131)
anneal (3782) 0.82611029389283
anneal (3520) 0.82611029389283
anneal (3564) 0.82611029389283
anneal (3547) 0.82611029389283
anneal (3723) 0.82611029389283
anneal (3531) 0.82611029389283
anneal (3605) 0.82611029389283
anneal (3714) 0.82611029389283
XOR (134)
anneal (3426) 0.82611029389283
anneal (3715) 0.82611029389283
anneal (3559) 0.82611029389283
anneal (3787) 0.82611029389283
anneal (3599) 0.82611029389283
anneal (3776) 0.82611029389283
Weather (135) 0.42857142857143
Weather (130) 0.37777777777778
anneal (3786) 0.82611029389283
anneal (3729) 0.82611029389283
anneal (3765) 0.82611029389283
anneal (3750) 0.82611029389283
anneal (3746) 0.82611029389283
anneal (3791) 0.82611029389283
Weather (133) 0.42857142857143
TEST085125c854-pandas_testing_dataset (3) -0.25
Diabetes(scikit-learn) (73)
anneal (3789) 0.82611029389283
anneal (3673) 0.82611029389283
anneal (3703) 0.82611029389283
anneal (3646) 0.82611029389283
anneal (3744) 0.82611029389283
anneal (3749) 0.82611029389283
anneal (3784) 0.82611029389283
anneal (3812) 0.82611029389283
TESTf3f2efc8aa-pandas_testing_dataset (1)
anneal (3686) 0.82611029389283
anneal (3772) 0.82611029389283
anneal (3761) 0.82611029389283
anneal (3638) 0.82611029389283
anneal (3556) 0.82611029389283
anneal (3644) 0.82611029389283
anneal (3670) 0.82611029389283
TESTa2e42797c2-pandas_testing_dataset (3) -0.25
XOR (135)
anneal (3699) 0.82611029389283
anneal (3620) 0.82611029389283
anneal (3630) 0.82611029389283
anneal (3807) 0.82611029389283
anneal (3810) 0.82611029389283
anneal (3785) 0.82611029389283
anneal (3760) 0.82611029389283
Weather (127) 0.42857142857143
Weather (136) 0.37777777777778
anneal (3826) 0.82611029389283
anneal (3535) 0.82611029389283
anneal (3658) 0.82611029389283
anneal (3763) 0.82611029389283
anneal (3800) 0.82611029389283
anneal (3774) 0.82611029389283
Weather (113) 0.42857142857143
anneal (3794) 0.82611029389283
anneal (3855) 0.82611029389283
anneal (3806) 0.82611029389283
anneal (3852) 0.82611029389283
Weather (134) 0.37777777777778
Weather (132) 0.37777777777778
TESTa9e19666af-pandas_testing_dataset (1)
XOR (136)
anneal (3858) 0.82611029389283
anneal (3825) 0.82611029389283
anneal (3819) 0.82611029389283
anneal (3631) 0.82611029389283
anneal (3814) 0.82611029389283
anneal (3847) 0.82611029389283
anneal (3758) 0.82611029389283
anneal (3845) 0.82611029389283
TESTc3b8794b94-pandas_testing_dataset (3) -0.25
anneal (3849) 0.82611029389283
anneal (3769) 0.82611029389283
anneal (3704) 0.82611029389283
anneal (3864) 0.82611029389283
anneal (3860) 0.82611029389283
anneal (3770) 0.82611029389283
anneal (3773) 0.82611029389283
TESTac9fd4dd46-ModifiedWeather (1)
TEST48081c5081-pandas_testing_dataset (3) -0.25
anneal (3886) 0.82611029389283
anneal (3865) 0.82611029389283
anneal (3813) 0.82611029389283
anneal (3740) 0.82611029389283
anneal (3780) 0.82611029389283
anneal (3840) 0.82611029389283
anneal (3829) 0.82611029389283
TESTcf84fd1fd2-pandas_testing_dataset (3) -0.25
XOR (133)
anneal (3842) 0.82611029389283
anneal (3851) 0.82611029389283
anneal (3568) 0.82611029389283
anneal (3897) 0.82611029389283
anneal (3778) 0.82611029389283
anneal (3877) 0.82611029389283
anneal (3756) 0.82611029389283
anneal (3883) 0.82611029389283
anneal (3432) 0.82611029389283
anneal (3799) 0.82611029389283
anneal (3900) 0.82611029389283
anneal (3753) 0.82611029389283
anneal (3650) 0.82611029389283
anneal (3797) 0.82611029389283
anneal (3766) 0.82611029389283
anneal (3892) 0.82611029389283
anneal (3871) 0.82611029389283
TEST03dd1e0c2c-pandas_testing_dataset (3) -0.25
anneal (3798) 0.82611029389283
anneal (3792) 0.82611029389283
anneal (3589) 0.82611029389283
anneal (3552) 0.82611029389283
anneal (3891) 0.82611029389283
anneal (3817) 0.82611029389283
TESTb8a3cbf37d-pandas_testing_dataset (3)
XOR (132)
XOR (137)
anneal (3804) 0.82611029389283
anneal (3555) 0.82611029389283
anneal (3824) 0.82611029389283