Measure

J48.001.AUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001

Value per dataset

Weather (59) 0.3
Diabetes(scikit-learn) (33)
XOR (61)
Weather (63) 0.3
Diabetes(scikit-learn) (36)
XOR (65)
Weather (67) 0.3
Weather (60) 0.3
XOR (62)
anneal (1371) 0.99434156378601
anneal (1651) 0.99434156378601
Weather (61) 0.3
anneal (1654) 0.99434156378601
anneal (1560) 0.99434156378601
XOR (68)
Weather (69) 0.3
Weather (65) 0.3
Diabetes(scikit-learn) (39)
XOR (66)
XOR (69)
XOR (71)
Weather (66) 0.3
anneal (1796) 0.99434156378601
Diabetes(scikit-learn) (35)
Diabetes(scikit-learn) (37)
anneal (1917) 0.99434156378601
Weather (71) 0.42222222222222
XOR (70)
Diabetes(scikit-learn) (40)
XOR (72)
XOR (50)
XOR (67)
XOR (76)
anneal (1918) 0.99434156378601
Weather (76) 0.3
Weather (73) 0.3
Weather (75) 0.3
XOR (74)
XOR (73)
Weather (72) 0.3
anneal (2036) 0.99434156378601
Weather (79) 0.3
Diabetes(scikit-learn) (43)
Weather (74) 0.3
Weather (68) 0.3
Diabetes(scikit-learn) (41)
Weather (70) 0.3
XOR (80)
Diabetes(scikit-learn) (38)
Diabetes(scikit-learn) (42)
XOR (79)
anneal (1797) 0.99434156378601
XOR (75)
Weather (80) 0.42222222222222
Weather (78) 0.3
Weather (77) 0.3
Diabetes(scikit-learn) (44)
Weather (83) 0.3
XOR (82)
Diabetes(scikit-learn) (45)
XOR (77)
Weather (84) 0.3
XOR (78)
anneal (2035) 0.99434156378601
Weather (82) 0.3
XOR (88)
anneal (2158) 0.99434156378601
Weather (81) 0.3
XOR (84)
Weather (85) 0.3
XOR (81)
anneal (2280) 0.99434156378601
Diabetes(scikit-learn) (46)
XOR (85)
XOR (87)
XOR (86)
Weather (86) 0.3
anneal (2281) 0.99434156378601
Weather (87) 0.3
Weather (88) 0.3
XOR (83)
Diabetes(scikit-learn) (47)
iris (2) 0.95653333333333
iris-challenge (1) 0.91137585255232
XOR (4)
anneal (38) 0.99434156378601
Weather (3) 0.3
Diabetes(scikit-learn) (1)
XOR (1)
Weather (1) 0.3
Weather (4) 0.3
Diabetes(scikit-learn) (2)
XOR (2)
XOR (3)
anneal (36) 0.99434156378601
Weather (2) 0.42222222222222
Diabetes(scikit-learn) (3)
anneal (90) 0.99434156378601
anneal (87) 0.99434156378601
Weather (7) 0.3
Weather (6) 0.42222222222222
Weather (8) 0.42222222222222
Diabetes(scikit-learn) (5)
Diabetes(scikit-learn) (4)
XOR (8)
XOR (5)
XOR (6)
Weather (5) 0.3
XOR (7)
Weather (11) 0.3
XOR (10)
XOR (11)
XOR (9)
XOR (12)
Diabetes(scikit-learn) (7)
Weather (9) 0.3
anneal (210) 0.99434156378601
Weather (10) 0.42222222222222
Weather (12) 0.3
Diabetes(scikit-learn) (6)
anneal (211) 0.99434156378601
iris (4) 0.95653333333333
iris (3)
anneal (216) 0.99434156378601
anneal (217) 0.99434156378601
Diabetes(scikit-learn) (9)
anneal (254) 0.99434156378601
Weather (15) 0.42222222222222
XOR (14)
XOR (15)
Weather (13) 0.3
Weather (16) 0.3
anneal (259) 0.99434156378601
Weather (14) 0.3
XOR (13)
XOR (16)
Weather (18) 0.3
XOR (18)
Diabetes(scikit-learn) (10)
XOR (17)
Diabetes(scikit-learn) (8)
Weather (17) 0.3
Weather (19) 0.42222222222222
Weather (20) 0.3
Diabetes(scikit-learn) (11)
XOR (20)
XOR (19)
Weather (23) 0.3
Weather (22) 0.3
XOR (24)
XOR (23)
Diabetes(scikit-learn) (13)
anneal (391) 0.99434156378601
Weather (21) 0.3
XOR (21)
Diabetes(scikit-learn) (12)
anneal (392) 0.99434156378601
XOR (22)
Weather (24) 0.3
anneal (509) 0.99434156378601
Weather (25) 0.3
XOR (26)
XOR (25)
XOR (28)
Weather (28) 0.3
Weather (27) 0.3
Weather (26) 0.3
Diabetes(scikit-learn) (14)
XOR (27)
anneal (510) 0.99434156378601
Diabetes(scikit-learn) (15)
Diabetes(scikit-learn) (17)
Weather (29) 0.3
Weather (31) 0.3
XOR (30)
XOR (31)
Weather (32) 0.3
Diabetes(scikit-learn) (16)
Weather (30) 0.3
XOR (32)
anneal (636) 0.99434156378601
XOR (29)
anneal (633) 0.99434156378601
XOR (34)
Weather (34) 0.42222222222222
XOR (33)
anneal (751) 0.99434156378601
Weather (33) 0.42222222222222
Diabetes(scikit-learn) (18)
anneal (867) 0.99434156378601
anneal (866) 0.99434156378601
Diabetes(scikit-learn) (20)
Diabetes(scikit-learn) (19)
XOR (35)
Weather (36) 0.3
Diabetes(scikit-learn) (21)
XOR (36)
Weather (35) 0.42222222222222
anneal (887) 0.99434156378601
XOR (38)
XOR (39)
XOR (37)
Weather (39) 0.3
XOR (40)
Diabetes(scikit-learn) (22)
anneal (1012) 0.99434156378601
Weather (38) 0.3
Diabetes(scikit-learn) (23)
Weather (37) 0.3
anneal (1013) 0.99434156378601
Weather (40) 0.3
Weather (44) 0.3
XOR (43)
XOR (41)
anneal (1131) 0.93915853687672
Weather (43) 0.3
Diabetes(scikit-learn) (25)
anneal (1130) 0.99434156378601
Weather (41) 0.3
XOR (42)
Diabetes(scikit-learn) (24)
XOR (44)
Weather (42) 0.3
iris (6) 0.95653333333333
iris (5)
Weather (45) 0.42222222222222
XOR (48)
XOR (45)
Diabetes(scikit-learn) (26)
anneal (1251) 0.99434156378601
Weather (46) 0.3
XOR (46)
Weather (47) 0.42222222222222
XOR (47)
Weather (48) 0.3
anneal (1250) 0.99434156378601
Diabetes(scikit-learn) (27)
kits (1) 0.55275974025974
XOR (49)
anneal (1370) 0.99434156378601
Weather (49) 0.3
anneal (1453) 0.99434156378601
Weather (51) 0.3
Weather (53) 0.3
Weather (54) 0.3
Diabetes(scikit-learn) (28)
Weather (55) 0.3
Weather (52) 0.3
Weather (56) 0.3
Weather (58) 0.42222222222222
XOR (54)
Weather (50) 0.3
Diabetes(scikit-learn) (32)
PCam (1) 0.62083968762884
Diabetes(scikit-learn) (31)
Diabetes(scikit-learn) (29)
XOR (53)
XOR (60)
XOR (52)
Weather (57) 0.3
XOR (58)
XOR (55)
anneal (1454) 0.99434156378601
XOR (56)
XOR (57)
Weather (64) 0.3
Weather (62) 0.3
Diabetes(scikit-learn) (30)
XOR (51)
anneal (1486) 0.99434156378601
XOR (64)
anneal (1563) 0.99434156378601
XOR (59)
XOR (63)
Diabetes(scikit-learn) (34)
XOR (89)
Diabetes(scikit-learn) (48)
Weather (90) 0.42222222222222
XOR (92)
Weather (92) 0.3
XOR (91)
Diabetes(scikit-learn) (49)
anneal (2381) 0.99434156378601
Weather (89) 0.3
anneal (2406) 0.99434156378601
XOR (90)
Weather (91) 0.3
anneal (2561) 0.99434156378601
Diabetes(scikit-learn) (50)
Diabetes(scikit-learn) (51)
anneal (2559) 0.99434156378601
Weather (94) 0.3
Diabetes(scikit-learn) (53)
iris (7)
XOR (104)
XOR (98)
XOR (97)
XOR (103)
anneal (2786) 0.99434156378601
anneal (3213) 0.99434156378601
Weather (107) 0.3
Weather (93) 0.3
Weather (108) 0.42222222222222
Diabetes(scikit-learn) (60)
Diabetes(scikit-learn) (58)
Diabetes(scikit-learn) (59)
XOR (108)
anneal (2923) 0.99434156378601
anneal (2836) 0.99434156378601
Weather (97) 0.3
Weather (103) 0.3
Weather (104) 0.42222222222222
Diabetes(scikit-learn) (52)
XOR (106)
XOR (101)
XOR (107)
anneal (3208) 0.99434156378601
Weather (105) 0.3
Weather (106) 0.3
iris (8) 0.95653333333333
Diabetes(scikit-learn) (57)
Diabetes(scikit-learn) (56)
XOR (99)
XOR (105)
XOR (93)
anneal (3082) 0.99434156378601
Weather (99) 0.3
Weather (95) 0.3
Weather (102) 0.3
Weather (96) 0.3
Weather (98) 0.3
Diabetes(scikit-learn) (61)
XOR (94)
XOR (102)
anneal (3088) 0.99434156378601
anneal (2932) 0.99434156378601
anneal (2783) 0.99434156378601
Weather (101) 0.42222222222222
Weather (100) 0.3
Diabetes(scikit-learn) (54)
Diabetes(scikit-learn) (55)
XOR (96)
XOR (95)
XOR (100)
test (2) 0.95653333333333
test (1) 0.95653333333333
test (4) 0.95653333333333
test (3) 0.95653333333333
test (11) 0.95653333333333
test (12) 0.95653333333333
test (5) 0.95653333333333
test (6) 0.95653333333333
test (7) 0.95653333333333
test (10) 0.95653333333333
test (8) 0.95653333333333
test (9) 0.95653333333333
test (15) 0.95653333333333
test (13) 0.95653333333333
test (16) 0.95653333333333
test (14) 0.95653333333333
test (19) 0.95653333333333
test (17) 0.95653333333333
test (20) 0.95653333333333
test (18) 0.95653333333333
test (21) 0.95653333333333
test (23) 0.95653333333333
test (24) 0.95653333333333
test (22) 0.95653333333333
test (25) 0.95653333333333
test (26) 0.95653333333333
test (29) 0.95653333333333
test (28) 0.95653333333333
test (27) 0.95653333333333
test (31) 0.95653333333333
test (30) 0.95653333333333
test (37) 0.95653333333333
test (35) 0.95653333333333
test (33) 0.95653333333333
test (38) 0.95653333333333
test (36) 0.95653333333333
test (32) 0.95653333333333
test (34) 0.95653333333333
test (39) 0.95653333333333
test (40) 0.95653333333333
test (42) 0.95653333333333
test (47) 0.95653333333333
test (43) 0.95653333333333
test (46) 0.95653333333333
test (41) 0.95653333333333
test (44) 0.95653333333333
test (48) 0.95653333333333
test (58) 0.95653333333333
test (55) 0.95653333333333
test (51) 0.95653333333333
test (57) 0.95653333333333
test (52) 0.95653333333333
test (49) 0.95653333333333
test (53) 0.95653333333333
test (54) 0.95653333333333
test (65) 0.95653333333333
test (66) 0.95653333333333
test (61) 0.95653333333333
test (64) 0.95653333333333
test (63) 0.95653333333333
test (62) 0.95653333333333
test (72) 0.95653333333333
test (67) 0.95653333333333
test (68) 0.95653333333333
test (74) 0.95653333333333
test (73) 0.95653333333333
test (71) 0.95653333333333
test (75) 0.95653333333333
test (69) 0.95653333333333
test (70) 0.95653333333333
test (77) 0.95653333333333
test (78) 0.95653333333333
test (76) 0.95653333333333
test (81) 0.95653333333333
test (79) 0.95653333333333
test (84) 0.95653333333333
test (83) 0.95653333333333
test (80) 0.95653333333333
test (82) 0.95653333333333
test (87) 0.95653333333333
test (89) 0.95653333333333
test (86) 0.95653333333333
test (88) 0.95653333333333
test (85) 0.95653333333333
test (90) 0.95653333333333
test (92) 0.95653333333333
test (93) 0.95653333333333
test (91) 0.95653333333333
iris (10) 0.95653333333333
iris (9)
anneal (3328) 0.93915853687672
anneal (3320) 0.93915853687672
anneal (3336) 0.59399339585177
anneal (3245) 0.93915853687672
anneal (3272) 0.93915853687672
anneal (3278) 0.93915853687672
anneal (3247) 0.93915853687672
anneal (3307) 0.93915853687672
anneal (3281) 0.99434156378601
anneal (3355) 0.93915853687672
anneal (3329) 0.93915853687672
anneal (3352) 0.93915853687672
anneal (3285) 0.93915853687672
anneal (3333) 0.93915853687672
anneal (3347) 0.93915853687672
anneal (3275) 0.93915853687672
Weather (111) 0.3
Weather (114) 0.3
anneal (3305) 0.93915853687672
anneal (3295) 0.93915853687672
anneal (3274) 0.93915853687672
anneal (3348) 0.93915853687672
anneal (3360) 0.99434156378601
Weather (115) 0.3
TESTd9efb4c2e9-pandas_testing_dataset (3) 0.2
Diabetes(scikit-learn) (64)
XOR (111)
anneal (3338) 0.93915853687672
anneal (3312) 0.93915853687672
anneal (3319) 0.93915853687672
anneal (3311) 0.93915853687672
anneal (3256) 0.93915853687672
anneal (3325) 0.93915853687672
anneal (3357) 0.99434156378601
TEST9dd8d65a51-pandas_testing_dataset (3) 0.2
XOR (110)
anneal (3324) 0.93915853687672
OxfordPets (1) 0.5323183108021
anneal (3313) 0.93915853687672
anneal (3250) 0.93915853687672
anneal (3314) 0.93915853687672
anneal (3282) 0.93915853687672
anneal (3349) 0.93915853687672
TESTbf391b99e0-pandas_testing_dataset (3) 0.2
XOR (114)
anneal (3340) 0.93915853687672
anneal (3267) 0.93915853687672
anneal (3387) 0.93915853687672
anneal (3332) 0.93915853687672
anneal (3249) 0.93915853687672
anneal (3351) 0.93915853687672
anneal (3261) 0.93915853687672
anneal (3253) 0.93915853687672
anneal (3353) 0.93915853687672
anneal (3317) 0.93915853687672
anneal (3380) 0.93915853687672
anneal (3277) 0.93915853687672
anneal (3326) 0.93915853687672
anneal (3299) 0.93915853687672
anneal (3304) 0.93915853687672
Weather (112) 0.3
Diabetes(scikit-learn) (63)
TEST23cffc1ee9-XOR (1)
anneal (3286) 0.93915853687672
anneal (3283) 0.93915853687672
anneal (3257) 0.93915853687672
anneal (3397) 0.93915853687672
anneal (3354) 0.93915853687672
anneal (3378) 0.93915853687672
anneal (3392) 0.93915853687672
Diabetes(scikit-learn) (62)
XOR (116)
anneal (3298) 0.93915853687672
anneal (3365) 0.93915853687672
anneal (3396) 0.93915853687672
anneal (3242) 0.93915853687672
anneal (3255) 0.93915853687672
anneal (3297) 0.93915853687672
anneal (3291) 0.93915853687672
anneal (3356) 0.93915853687672
anneal (3323) 0.93915853687672
anneal (3262) 0.93915853687672
anneal (3418) 0.93915853687672
anneal (3342) 0.93915853687672
anneal (3376) 0.93915853687672
anneal (3425) 0.93915853687672
anneal (3388) 0.93915853687672
anneal (3303) 0.93915853687672
TESTfd21f54117-ModifiedWeather (1)
XOR (115)
anneal (3370) 0.93915853687672
anneal (3273) 0.93915853687672
anneal (3382) 0.93915853687672
anneal (3359) 0.93915853687672
anneal (3243) 0.93915853687672
anneal (3393) 0.93915853687672
anneal (3300) 0.93915853687672
anneal (3413) 0.93915853687672
Weather (117) 0.3
anneal (3264) 0.93915853687672
anneal (3434) 0.93915853687672
anneal (3384) 0.93915853687672
anneal (3315) 0.93915853687672
anneal (3322) 0.93915853687672
anneal (3381) 0.93915853687672
anneal (3433) 0.93915853687672
anneal (3364) 0.93915853687672
Weather (119) 0.3
anneal (3361) 0.93915853687672
anneal (3436) 0.93915853687672
anneal (3410) 0.93915853687672
anneal (3375) 0.93915853687672
anneal (3449) 0.93915853687672
anneal (3265) 0.93915853687672
TEST20d8763886-pandas_testing_dataset (3) 0.2
Diabetes(scikit-learn) (65)
XOR (117)
anneal (3398) 0.93915853687672
anneal (3469) 0.93915853687672
anneal (3441) 0.93915853687672
anneal (3448) 0.93915853687672
anneal (3400) 0.93915853687672
anneal (3244) 0.93915853687672
anneal (3470) 0.93915853687672
anneal (3419) 0.93915853687672
XOR (119)
anneal (3411) 0.93915853687672
anneal (3327) 0.93915853687672
anneal (3310) 0.93915853687672
anneal (3409) 0.93915853687672
anneal (3474) 0.93915853687672
anneal (3455) 0.93915853687672
anneal (3405) 0.93915853687672
anneal (3287) 0.93915853687672
XOR (120)
anneal (3330) 0.93915853687672
anneal (3460) 0.93915853687672
anneal (3467) 0.93915853687672
anneal (3371) 0.93915853687672
anneal (3481) 0.93915853687672
anneal (3368) 0.93915853687672
anneal (3350) 0.93915853687672
TESTf9806cfccd-pandas_testing_dataset (3) 0.2
XOR (121)
anneal (3451) 0.93915853687672
anneal (3292) 0.93915853687672
anneal (3475) 0.93915853687672
anneal (3471) 0.93915853687672
anneal (3263) 0.93915853687672
anneal (3429) 0.93915853687672
TESTa4b439778d-pandas_testing_dataset (3) 0.2
Diabetes(scikit-learn) (67)
XOR (113)
anneal (3406) 0.93915853687672
anneal (3457) 0.93915853687672
anneal (3268) 0.93915853687672
anneal (3386) 0.93915853687672
anneal (3492) 0.93915853687672
anneal (3438) 0.93915853687672
Weather (122) 0.3
Diabetes(scikit-learn) (66)
XOR (123)
anneal (3479) 0.93915853687672
anneal (3468) 0.93915853687672
anneal (3335) 0.93915853687672
anneal (3321) 0.93915853687672
Weather (123) 0.3
Weather (109) 0.3
Diabetes(scikit-learn) (70)
XOR (118)
XOR (124)
anneal (3453) 0.93915853687672
anneal (3339) 0.93915853687672
anneal (3289) 0.93915853687672
anneal (3521) 0.93915853687672
anneal (3522) 0.93915853687672
anneal (3424) 0.93915853687672
anneal (3500) 0.93915853687672
anneal (3447) 0.93915853687672
anneal (3444) 0.93915853687672
anneal (3414) 0.93915853687672
anneal (3508) 0.93915853687672
anneal (3489) 0.93915853687672
anneal (3477) 0.93915853687672
anneal (3507) 0.93915853687672
anneal (3463) 0.99434156378601
Weather (120) 0.3
TEST6538fdcb0d-pandas_testing_dataset (3) 0.2
XOR (109)
anneal (3266) 0.93915853687672
anneal (3302) 0.93915853687672
anneal (3524) 0.93915853687672
anneal (3450) 0.93915853687672
anneal (3519) 0.93915853687672
anneal (3404) 0.93915853687672
anneal (3435) 0.93915853687672
anneal (3309) 0.93915853687672
anneal (3532) 0.93915853687672
anneal (3258) 0.93915853687672
anneal (3472) 0.93915853687672
anneal (3445) 0.93915853687672
anneal (3491) 0.93915853687672
anneal (3483) 0.99434156378601
Weather (126) 0.3
TEST919b7c5358-UploadTestWithURL (1)
TESTc3df687367-XOR (1)
anneal (3484) 0.93915853687672
anneal (3512) 0.93915853687672
anneal (3420) 0.93915853687672
anneal (3318) 0.93915853687672
anneal (3486) 0.93915853687672
anneal (3440) 0.93915853687672
anneal (3288) 0.93915853687672
anneal (3251) 0.93915853687672
anneal (3294) 0.93915853687672
anneal (3553) 0.93915853687672
anneal (3577) 0.93915853687672
anneal (3558) 0.93915853687672
anneal (3503) 0.93915853687672
anneal (3504) 0.93915853687672
anneal (3562) 0.93915853687672
anneal (3473) 0.93915853687672
TEST8abef52d2c-pandas_testing_dataset (3) 0.2
XOR (122)
anneal (3509) 0.59399339585177
anneal (3571) 0.93915853687672
anneal (3495) 0.93915853687672
anneal (3487) 0.93915853687672
anneal (3446) 0.93915853687672
anneal (3540) 0.93915853687672
anneal (3529) 0.93915853687672
anneal (3581) 0.93915853687672
anneal (3575) 0.93915853687672
anneal (3493) 0.93915853687672
anneal (3416) 0.93915853687672
anneal (3408) 0.93915853687672
anneal (3545) 0.93915853687672
anneal (3478) 0.93915853687672
anneal (3497) 0.93915853687672
anneal (3482) 0.99434156378601
TESTa9749c60e8-pandas_testing_dataset (3) 0.2
anneal (3456) 0.93915853687672
anneal (3544) 0.93915853687672
anneal (3513) 0.93915853687672
anneal (3485) 0.93915853687672
anneal (3533) 0.93915853687672
anneal (3442) 0.93915853687672
anneal (3515) 0.93915853687672
anneal (3576) 0.93915853687672
Weather (116) 0.3
anneal (3557) 0.93915853687672
anneal (3385) 0.93915853687672
anneal (3362) 0.93915853687672
anneal (3592) 0.93915853687672
anneal (3583) 0.93915853687672
anneal (3600) 0.93915853687672
TEST1e8a9f8689-pandas_testing_dataset (2)
XOR (126)
anneal (3459) 0.93915853687672
anneal (3527) 0.93915853687672
anneal (3586) 0.93915853687672
anneal (3401) 0.93915853687672
anneal (3366) 0.93915853687672
anneal (3369) 0.93915853687672
TESTc8b15029f0-pandas_testing_dataset (2)
XOR (112)
XOR (129)
anneal (3501) 0.93915853687672
anneal (3578) 0.93915853687672
anneal (3626) 0.93915853687672
anneal (3614) 0.93915853687672
anneal (3543) 0.93915853687672
anneal (3598) 0.93915853687672
Weather (118) 0.3
Weather (124) 0.3
TEST6f44450de5-pandas_testing_dataset (3) 0.2
anneal (3574) 0.93915853687672
anneal (3394) 0.93915853687672
anneal (3594) 0.93915853687672
anneal (3551) 0.93915853687672
anneal (3537) 0.93915853687672
anneal (3628) 0.93915853687672
anneal (3640) 0.93915853687672
Weather (128) 0.3
TESTa4c79c414f-pandas_testing_dataset (3)
anneal (3654) 0.93915853687672
anneal (3595) 0.93915853687672
anneal (3632) 0.93915853687672
anneal (3618) 0.93915853687672
anneal (3619) 0.93915853687672
anneal (3606) 0.93915853687672
anneal (3539) 0.93915853687672
anneal (3561) 0.93915853687672
Diabetes(scikit-learn) (69)
anneal (3579) 0.93915853687672
anneal (3402) 0.93915853687672
anneal (3417) 0.93915853687672
anneal (3622) 0.93915853687672
Weather (129) 0.3
Weather (125) 0.3
Diabetes(scikit-learn) (72)
XOR (130)
XOR (128)
anneal (3636) 0.93915853687672
anneal (3651) 0.93915853687672
anneal (3624) 0.93915853687672
anneal (3629) 0.93915853687672
anneal (3645) 0.93915853687672
anneal (3668) 0.93915853687672
anneal (3570) 0.93915853687672
anneal (3279) 0.93915853687672
TEST54b390dc79-pandas_testing_dataset (1)
anneal (3565) 0.93915853687672
anneal (3671) 0.93915853687672
anneal (3647) 0.93915853687672
anneal (3637) 0.93915853687672
anneal (3608) 0.93915853687672
anneal (3639) 0.93915853687672
anneal (3680) 0.93915853687672
anneal (3661) 0.93915853687672
anneal (3616) 0.93915853687672
anneal (3641) 0.59399339585177
anneal (3676) 0.93915853687672
anneal (3683) 0.93915853687672
anneal (3602) 0.93915853687672
anneal (3649) 0.93915853687672
anneal (3587) 0.93915853687672
anneal (3607) 0.93915853687672
anneal (3528) 0.93915853687672
anneal (3609) 0.99434156378601
anneal (3377) 0.93915853687672
anneal (3689) 0.93915853687672
anneal (3567) 0.93915853687672
anneal (3573) 0.93915853687672
anneal (3591) 0.93915853687672
anneal (3454) 0.93915853687672
anneal (3525) 0.93915853687672
anneal (3685) 0.93915853687672
anneal (3702) 0.93915853687672
anneal (3373) 0.93915853687672
anneal (3582) 0.93915853687672
anneal (3663) 0.93915853687672
anneal (3695) 0.93915853687672
anneal (3659) 0.93915853687672
anneal (3694) 0.93915853687672
anneal (3655) 0.93915853687672
anneal (3580) 0.93915853687672
TESTe6bc12249f-pandas_testing_dataset (4)
anneal (3610) 0.93915853687672
anneal (3713) 0.93915853687672
anneal (3496) 0.93915853687672
anneal (3422) 0.93915853687672
anneal (3260) 0.93915853687672
anneal (3534) 0.93915853687672
anneal (3675) 0.93915853687672
Weather (121) 0.3
anneal (3700) 0.93915853687672
anneal (3516) 0.93915853687672
anneal (3712) 0.93915853687672
anneal (3728) 0.93915853687672
anneal (3669) 0.93915853687672
anneal (3690) 0.93915853687672
TEST94d4a334e6-ModifiedWeather (1)
Diabetes(scikit-learn) (68)
TESTe6bc12249f-pandas_testing_dataset (1)
anneal (3730) 0.93915853687672
anneal (3733) 0.93915853687672
anneal (3584) 0.93915853687672
anneal (3498) 0.93915853687672
anneal (3742) 0.93915853687672
anneal (3745) 0.93915853687672
anneal (3674) 0.93915853687672
XOR (127)
anneal (3725) 0.93915853687672
anneal (3541) 0.93915853687672
anneal (3517) 0.93915853687672
anneal (3681) 0.93915853687672
anneal (3724) 0.93915853687672
anneal (3726) 0.93915853687672
anneal (3612) 0.99434156378601
Weather (131) 0.3
TESTe6bc12249f-pandas_testing_dataset (3)
anneal (3737) 0.93915853687672
anneal (3623) 0.93915853687672
anneal (3687) 0.93915853687672
anneal (3662) 0.93915853687672
anneal (3747) 0.93915853687672
anneal (3717) 0.93915853687672
anneal (3697) 0.93915853687672
anneal (3653) 0.93915853687672
XOR (125)
anneal (3615) 0.93915853687672
anneal (3734) 0.93915853687672
anneal (3664) 0.93915853687672
anneal (3722) 0.93915853687672
anneal (3548) 0.93915853687672
anneal (3511) 0.93915853687672
anneal (3751) 0.99434156378601
Weather (110) 0.3
TESTe6bc12249f-pandas_testing_dataset (2)
anneal (3691) 0.59399339585177
anneal (3428) 0.93915853687672
anneal (3757) 0.93915853687672
anneal (3572) 0.93915853687672
anneal (3768) 0.93915853687672
anneal (3505) 0.93915853687672
anneal (3711) 0.93915853687672
Diabetes(scikit-learn) (74)
XOR (131)
anneal (3782) 0.93915853687672
anneal (3520) 0.93915853687672
anneal (3564) 0.93915853687672
anneal (3547) 0.93915853687672
anneal (3723) 0.93915853687672
anneal (3531) 0.93915853687672
anneal (3605) 0.93915853687672
anneal (3714) 0.93915853687672
XOR (134)
anneal (3426) 0.93915853687672
anneal (3715) 0.93915853687672
anneal (3559) 0.93915853687672
anneal (3787) 0.93915853687672
anneal (3599) 0.93915853687672
anneal (3776) 0.93915853687672
Weather (135) 0.3
Weather (130) 0.3
anneal (3786) 0.93915853687672
anneal (3729) 0.93915853687672
anneal (3765) 0.93915853687672
anneal (3750) 0.93915853687672
anneal (3746) 0.93915853687672
anneal (3791) 0.93915853687672
Weather (133) 0.42222222222222
TEST085125c854-pandas_testing_dataset (3) 0.2
Diabetes(scikit-learn) (73)
anneal (3789) 0.93915853687672
anneal (3673) 0.93915853687672
anneal (3703) 0.93915853687672
anneal (3646) 0.93915853687672
anneal (3744) 0.93915853687672
anneal (3749) 0.93915853687672
anneal (3784) 0.93915853687672
anneal (3812) 0.93915853687672
TESTf3f2efc8aa-pandas_testing_dataset (1)
anneal (3686) 0.93915853687672
anneal (3772) 0.93915853687672
anneal (3761) 0.93915853687672
anneal (3638) 0.93915853687672
anneal (3556) 0.93915853687672
anneal (3644) 0.93915853687672
anneal (3670) 0.93915853687672
TESTa2e42797c2-pandas_testing_dataset (3) 0.2
XOR (135)
anneal (3699) 0.93915853687672
anneal (3620) 0.93915853687672
anneal (3630) 0.93915853687672
anneal (3807) 0.59399339585177
anneal (3810) 0.93915853687672
anneal (3785) 0.93915853687672
anneal (3760) 0.93915853687672
Weather (127) 0.3
Weather (136) 0.3
anneal (3826) 0.93915853687672
anneal (3535) 0.93915853687672
anneal (3658) 0.93915853687672
anneal (3763) 0.93915853687672
anneal (3800) 0.93915853687672
anneal (3774) 0.93915853687672
Weather (113) 0.42222222222222
anneal (3794) 0.93915853687672
anneal (3855) 0.93915853687672
anneal (3806) 0.93915853687672
anneal (3852) 0.93915853687672
Weather (134) 0.3
Weather (132) 0.3
TESTa9e19666af-pandas_testing_dataset (1)
XOR (136)
anneal (3858) 0.93915853687672
anneal (3825) 0.93915853687672
anneal (3819) 0.93915853687672
anneal (3631) 0.93915853687672
anneal (3814) 0.93915853687672
anneal (3847) 0.93915853687672
anneal (3758) 0.93915853687672
anneal (3845) 0.93915853687672
TESTc3b8794b94-pandas_testing_dataset (3) 0.2
anneal (3849) 0.93915853687672
anneal (3769) 0.93915853687672
anneal (3704) 0.93915853687672
anneal (3864) 0.93915853687672
anneal (3860) 0.93915853687672
anneal (3770) 0.93915853687672
anneal (3773) 0.93915853687672
TESTac9fd4dd46-ModifiedWeather (1)
TEST48081c5081-pandas_testing_dataset (3) 0.2
anneal (3886) 0.93915853687672
anneal (3865) 0.93915853687672
anneal (3813) 0.93915853687672
anneal (3740) 0.93915853687672
anneal (3780) 0.93915853687672
anneal (3840) 0.93915853687672
anneal (3829) 0.93915853687672
TESTcf84fd1fd2-pandas_testing_dataset (3) 0.2
XOR (133)
anneal (3842) 0.93915853687672
anneal (3851) 0.93915853687672
anneal (3568) 0.93915853687672
anneal (3897) 0.93915853687672
anneal (3778) 0.93915853687672
anneal (3877) 0.93915853687672
anneal (3756) 0.93915853687672
anneal (3883) 0.93915853687672
anneal (3432) 0.93915853687672
anneal (3799) 0.59399339585177
anneal (3900) 0.93915853687672
anneal (3753) 0.93915853687672
anneal (3650) 0.93915853687672
anneal (3797) 0.93915853687672
anneal (3766) 0.93915853687672
anneal (3892) 0.93915853687672
anneal (3871) 0.93915853687672
TEST03dd1e0c2c-pandas_testing_dataset (3) 0.2
anneal (3798) 0.93915853687672
anneal (3792) 0.93915853687672
anneal (3589) 0.93915853687672
anneal (3552) 0.93915853687672
anneal (3891) 0.93915853687672
anneal (3817) 0.93915853687672
TESTb8a3cbf37d-pandas_testing_dataset (3)
XOR (132)
XOR (137)
anneal (3804) 0.59399339585177