Measure

kNN1NKappa

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

Value per dataset

triazines (1)
anneal (8) 0.82611029389283
anneal (4) 0.82611029389283
anneal (2) 0.82611029389283
XOR (1)
Weather (1) 0.42857142857143
web_questionsQA (1)
anneal (6) 0.82611029389283
anneal (7) 0.82611029389283
Weather (2) 0.37777777777778
TEST9e3886e694-XOR (1)
iris (2) 0.91
anneal (12) 0.82611029389283
anneal (14) 0.93983387821765
TESTc7ba0dcb5a-XOR (1)
TESTed4a84a4bb-pandas_testing_dataset (2)
test (6) 0.91
TEST51ef687b9d-pandas_testing_dataset (2)
Diabetes(scikit-learn) (1)
anneal (13) 0.82611029389283
TESTb633b550cf-pandas_testing_dataset (1)
test (4) 0.91
TEST51ef687b9d-pandas_testing_dataset (1)
TESTed4a84a4bb-pandas_testing_dataset (1)
test (3) 0.91
test (1) 0.91
test (2) 0.91
TEST51ef687b9d-pandas_testing_dataset (4)
anneal (9) 0.75232927819956
TESTaf99b42041-ModifiedWeather (1)
XOR (2)
test (9) 0.91
anneal (17) 0.82611029389283
test (7) 0.91
TESTe216022baf-UploadTestWithURL (1)
iris-challenge (1) 0.86132005509058
TEST8facacd8dc-UploadTestWithURL (1)
test (10) 0.91
test (14) 0.91
test (5) 0.91
test (13) 0.91
test (12) 0.91
TEST51ef687b9d-pandas_testing_dataset (3)
TESTed4a84a4bb-pandas_testing_dataset (3) -0.25
anneal (3) 0.82611029389283
anneal (23) 0.82611029389283
TEST0ea351d931-pandas_testing_dataset (1)
anneal (24) 0.82611029389283
anneal (18) 0.82611029389283
test (11) 0.91
test (8) 0.91
anneal (26) 0.82611029389283
anneal (27) 0.82611029389283
anneal (39) 0.82611029389283
anneal (43) 0.82611029389283
anneal (63) 0.82611029389283
test (16) 0.91
TEST840571e677-pandas_testing_dataset (1)
anneal (58) 0.82611029389283
Weather (6) 0.37777777777778
anneal (62) 0.82611029389283
anneal (30) 0.82611029389283
test (24) 0.91
test (20) 0.91
anneal (66) 0.75232927819956
anneal (34) 0.82611029389283
anneal (38) 0.82611029389283
anneal (41) 0.82611029389283
Weather (3) 0.42857142857143
XOR (4)
Weather (4) 0.37777777777778
Weather (8) 0.37777777777778
test (19) 0.91
test (21) 0.91
Diabetes(scikit-learn) (3)
XOR (3)
anneal (48) 0.82611029389283
XOR (6)
test (27) 0.91
XOR (5)
spambase (1) 0.77516774672954
anneal (49) 0.82611029389283
test (33) 0.91
anneal (32) 0.82611029389283
anneal (45) 0.82611029389283
anneal (16) 0.82611029389283
anneal (57) 0.82611029389283
Weather (5) 0.42857142857143
test (26) 0.91
XOR (7)
test (36) 0.91
test (23) 0.91
anneal (59) 0.82611029389283
test (28) 0.91
anneal (42) 0.82611029389283
anneal (33) 0.82611029389283
test (15) 0.91
anneal (37) 0.75232927819956
anneal (53) 0.82611029389283
anneal (25) 0.82611029389283
anneal (56) 0.75232927819956
test (39) 0.91
TEST2fe1e97c97-pandas_testing_dataset (1)
test (35) 0.91
test (29) 0.91
test (31) 0.91
anneal (52) 0.82611029389283
Diabetes(scikit-learn) (4)
anneal (54) 0.82611029389283
Weather (7) 0.42857142857143
test (22) 0.91
test (38) 0.91
test (32) 0.91
test (18) 0.91
Diabetes(scikit-learn) (2)
vineyard (1)
anneal (31) 0.82611029389283
Weather (9) 0.42857142857143
Diabetes(scikit-learn) (5)
TESTccda34c750-pandas_testing_dataset (1)
anneal (74) 0.82611029389283
Weather (11) 0.42857142857143
anneal (61) 0.82611029389283
test (17) 0.91
TEST22dd0ebd9b-ModifiedWeather (1)
anneal (36) 0.82611029389283
test (43) 0.91
XOR (9)
anneal (89) 0.82611029389283
TESTee7d03de92-pandas_testing_dataset (1)
anneal (77) 0.82611029389283
anneal (84) 0.82611029389283
TEST76d8cfa095-pandas_testing_dataset (1)
XOR (10)
autoPrice (1)
quake (1)
TEST5f1dfbd75d-pandas_testing_dataset (1)
anneal (95) 0.82611029389283
anneal (80) 0.82611029389283
test (40) 0.91
TESTda410c34dc-pandas_testing_dataset (2)
TEST398fcda80b-ModifiedWeather (1)
TEST7e318eb969-pandas_testing_dataset (3) -0.25
Weather (10) 0.37777777777778
test (41) 0.91
TEST76d8cfa095-pandas_testing_dataset (3)
test (49) 0.91
Diabetes(scikit-learn) (6)
TESTda410c34dc-pandas_testing_dataset (3)
TEST5f1dfbd75d-pandas_testing_dataset (3)
TEST5705382a07-UploadTestWithURL (1)
TESTccda34c750-pandas_testing_dataset (2)
TEST5f1dfbd75d-pandas_testing_dataset (2)
XOR (14)
XOR (11)
TEST5f1dfbd75d-pandas_testing_dataset (4)
anneal (83) 0.82611029389283
TEST2fb3e3c09b-XOR (1)
anneal (101) 0.82611029389283
anneal (92) 0.82611029389283
anneal (75) 0.82611029389283
XOR (8)
Weather (14) 0.37777777777778
TESTccda34c750-pandas_testing_dataset (3) -0.25
test (42) 0.91
test (30) 0.91
XOR (13)
anneal (103) 0.82611029389283
Weather (12) 0.37777777777778
anneal (90) 0.82611029389283
anneal (73) 0.82611029389283
anneal (88) 0.75232927819956
TESTe2a3b91028-ModifiedWeather (1)
TESTf7444a8ea4-pandas_testing_dataset (3) -0.25
TEST07c2b360c0-pandas_testing_dataset (3) -0.25
TEST7e318eb969-pandas_testing_dataset (2)
test (47) 0.91
test (50) 0.91
TESTda410c34dc-pandas_testing_dataset (1)
anneal (98) 0.82611029389283
test (37) 0.91
anneal (86) 0.75232927819956
anneal (105) 0.75232927819956
anneal (87) 0.82611029389283
anneal (99) 0.82611029389283
test (44) 0.91
TESTcf74ef9481-XOR (1)
XOR (12)
test (51) 0.91
anneal (91) 0.93983387821765
test (46) 0.91
test (45) 0.91
test (52) 0.91
anneal (44) 0.82611029389283
anneal (79) 0.82611029389283
anneal (28) 0.82611029389283
test (48) 0.91
TEST7e318eb969-pandas_testing_dataset (1)
TESTda410c34dc-pandas_testing_dataset (4)
TEST07c2b360c0-pandas_testing_dataset (2)
TESTdcaa77be46-XOR (1)
TEST8eecdebbd6-XOR (1)
anneal (102) 0.82611029389283
Diabetes(scikit-learn) (7)
anneal (97) 0.82611029389283
TEST2302efba1e-XOR (1)
anneal (72) 0.75232927819956
test (34) 0.91
TEST07c2b360c0-pandas_testing_dataset (1)
Weather (13) 0.42857142857143
TESTc09922bc0f-XOR (1)
test (25) 0.91
TEST76d8cfa095-pandas_testing_dataset (2)
TEST76d8cfa095-pandas_testing_dataset (4)
anneal (11) 0.82611029389283
anneal (106) 0.82611029389283
anneal (115) 0.75232927819956
XOR (18)
anneal (116) 0.93983387821765
anneal (113) 0.82611029389283
anneal (107) 0.82611029389283
anneal (82) 0.82611029389283
anneal (114) 0.82611029389283
Diabetes(scikit-learn) (9)
Diabetes(scikit-learn) (8)
Diabetes(scikit-learn) (10)
anneal (119) 0.82611029389283
anneal (118) 0.82611029389283
XOR (21)
Weather (17) 0.42857142857143
Weather (21) 0.42857142857143
XOR (23)
XOR (19)
XOR (17)
XOR (16)
XOR (24)
Diabetes(scikit-learn) (11)
anneal (108) 0.82611029389283
cloud (1)
anneal (141) 0.82611029389283
Weather (18) 0.37777777777778
anneal (147) 0.82611029389283
anneal (136) 0.82611029389283
anneal (135) 0.75232927819956
anneal (122) 0.75232927819956
XOR (22)
Weather (22) 0.37777777777778
anneal (112) 0.82611029389283
XOR (29)
anneal (128) 0.82611029389283
anneal (139) 0.82611029389283
XOR (27)
fourclass_scale (1)
anneal (151) 0.82611029389283
anneal (132) 0.82611029389283
anneal (156) 0.82611029389283
anneal (134) 0.82611029389283
anneal (149) 0.82611029389283
Weather (16) 0.37777777777778
Weather (15) 0.42857142857143
Weather (27) 0.42857142857143
anneal (126) 0.82611029389283
anneal (167) 0.82611029389283
anneal (127) 0.82611029389283
anneal (131) 0.82611029389283
anneal (124) 0.75232927819956
Diabetes(scikit-learn) (15)
Diabetes(scikit-learn) (14)
anneal (143) 0.82611029389283
anneal (121) 0.82611029389283
anneal (146) 0.82611029389283
anneal (158) 0.82611029389283
anneal (120) 0.82611029389283
anneal (117) 0.75232927819956
Weather (24) 0.37777777777778
Diabetes(scikit-learn) (12)
XOR (31)
anneal (150) 0.82611029389283
XOR (32)
Weather (23) 0.42857142857143
anneal (160) 0.82611029389283
Diabetes(scikit-learn) (17)
anneal (155) 0.82611029389283
Weather (30) 0.37777777777778
anneal (110) 0.82611029389283
anneal (173) 0.75232927819956
Weather (20) 0.37777777777778
TEST569e152152-pandas_testing_dataset (2)
XOR (33)
Weather (26) 0.37777777777778
Weather (28) 0.37777777777778
XOR (15)
anneal (137) 0.75232927819956
Weather (19) 0.42857142857143
anneal (144) 0.82611029389283
XOR (25)
anneal (166) 0.75232927819956
XOR (30)
anneal (159) 0.82611029389283
anneal (161) 0.82611029389283
anneal (154) 0.82611029389283
anneal (125) 0.82611029389283
Weather (31) 0.42857142857143
Weather (34) 0.37777777777778
anneal (168) 0.82611029389283
anneal (172) 0.82611029389283
anneal (140) 0.82611029389283
anneal (129) 0.82611029389283
anneal (174) 0.82611029389283
XOR (20)
Weather (25) 0.42857142857143
Diabetes(scikit-learn) (16)
XOR (34)
XOR (28)
anneal (162) 0.82611029389283
anneal (109) 0.82611029389283
anneal (171) 0.82611029389283
anneal (164) 0.82611029389283
anneal (145) 0.82611029389283
anneal (123) 0.75232927819956
Weather (33) 0.42857142857143
Diabetes(scikit-learn) (13)
XOR (26)
anneal (152) 0.82611029389283
anneal (169) 0.82611029389283
anneal (142) 0.75232927819956
Weather (29) 0.42857142857143
Weather (32) 0.37777777777778
TEST63cd902071-pandas_testing_dataset (2)
anneal (175) 0.82611029389283
TESTe55d2d0c3d-pandas_testing_dataset (2)
anneal (177) 0.82611029389283
TESTe55d2d0c3d-pandas_testing_dataset (3) -0.25
anneal (178) 0.93983387821765
TEST9d96ec7ade-UploadTestWithURL (1)
anneal (180) 0.82611029389283
TESTcf61db30f6-pandas_testing_dataset (1)
anneal (181) 0.82611029389283
TEST63cd902071-pandas_testing_dataset (4)
TEST63cd902071-pandas_testing_dataset (3)
TESTada3067c77-XOR (1)
TESTf112d7f8be-XOR (1)
TEST9ecb165245-UploadTestWithURL (1)
anneal (179) 0.82611029389283
TESTaebada2a36-ModifiedWeather (1)
TESTe55d2d0c3d-pandas_testing_dataset (1)
TEST63cd902071-pandas_testing_dataset (1)
anneal (182) 0.82611029389283
anneal (183) 0.82611029389283
anneal (184) 0.82611029389283
anneal (185) 0.82611029389283
Weather (35) 0.42857142857143
anneal (190) 0.82611029389283
anneal (187) 0.82611029389283
anneal (192) 0.82611029389283
anneal (191) 0.75232927819956
Weather (36) 0.37777777777778
XOR (36)
wisconsin (1)
anneal (186) 0.82611029389283
anneal (189) 0.82611029389283
Diabetes(scikit-learn) (18)
XOR (35)
anneal (193) 0.93983387821765
ModifiedWeather (1)
XOR (37)
XOR (38)
UploadTestWithURL (1)
UploadTestWithURL (2)
anneal (195) 0.82611029389283
anneal (198) 0.82611029389283
anneal (194) 0.82611029389283
anneal (201) 0.82611029389283
Weather (38) 0.37777777777778
XOR (39)
Weather (37) 0.42857142857143
Diabetes(scikit-learn) (19)
anneal (199) 0.82611029389283
anneal (196) 0.82611029389283
anneal (200) 0.75232927819956
XOR (40)
anneal (176) 0.82611029389283
anneal (208) 0.82611029389283
anneal (202) 0.82611029389283
anneal (206) 0.75232927819956
Weather (39) 0.42857142857143
XOR (42)
anneal (203) 0.82611029389283
anneal (209) 0.82611029389283
anneal (207) 0.82611029389283
anneal (204) 0.82611029389283
Weather (40) 0.37777777777778
Diabetes(scikit-learn) (20)
XOR (41)
anneal (94) 0.82611029389283
anneal (213) 0.82611029389283
anneal (215) 0.82611029389283
Diabetes(scikit-learn) (21)
Weather (42) 0.37777777777778
Weather (41) 0.42857142857143
XOR (43)
anneal (211) 0.82611029389283
anneal (210) 0.82611029389283
anneal (214) 0.82611029389283
anneal (212) 0.82611029389283
anneal (218) 0.75232927819956
XOR (44)
anneal (222) 0.82611029389283
Weather (43) 0.42857142857143
anneal (220) 0.82611029389283
XOR (46)
anneal (224) 0.82611029389283
anneal (226) 0.82611029389283
anneal (219) 0.82611029389283
Diabetes(scikit-learn) (22)
XOR (45)
anneal (221) 0.82611029389283
anneal (225) 0.75232927819956
Weather (44) 0.37777777777778
fruitfly (1)
sleep (1)
anneal (234) 0.82611029389283
Diabetes(scikit-learn) (23)
anneal (244) 0.75232927819956
XOR (50)
anneal (228) 0.82611029389283
anneal (237) 0.82611029389283
anneal (242) 0.82611029389283
anneal (231) 0.75232927819956
Weather (47) 0.42857142857143
Weather (45) 0.42857142857143
TEST08f51af3c8-pandas_testing_dataset (1)
TESTa365aee568-UploadTestWithURL (1)
anneal (233) 0.82611029389283
anneal (240) 0.82611029389283
anneal (229) 0.82611029389283
TEST037907c164-pandas_testing_dataset (3) -0.25
TESTa540f38c2d-pandas_testing_dataset (1)
TESTfd496f5b4d-XOR (1)
TEST037907c164-pandas_testing_dataset (2)
XOR (47)
XOR (48)
TEST82462bce44-UploadTestWithURL (1)
XOR (49)
anneal (241) 0.82611029389283
anneal (227) 0.82611029389283
anneal (236) 0.82611029389283
TESTa540f38c2d-pandas_testing_dataset (4)
Weather (46) 0.37777777777778
Weather (48) 0.37777777777778
anneal (235) 0.93983387821765
TESTa540f38c2d-pandas_testing_dataset (2)
TESTa540f38c2d-pandas_testing_dataset (3)
anneal (238) 0.82611029389283
Diabetes(scikit-learn) (24)
GermanCreditModified (1)
GermanCreditModified (3)
GermanCreditModified (2)
TEST062fea70c5-XOR (1)
anneal (249) 0.82611029389283
Weather (50) 0.37777777777778
anneal (246) 0.82611029389283
anneal (251) 0.82611029389283
anneal (252) 0.82611029389283
anneal (247) 0.82611029389283
anneal (245) 0.82611029389283
XOR (51)
anneal (250) 0.75232927819956
Weather (49) 0.42857142857143
Diabetes(scikit-learn) (25)
XOR (52)
pharynx (1)
anneal (232) 0.82611029389283
bolts (1)
cpu_act (1)
delta_elevators (1)
kin8nm (1)
diabetes_numeric (1)
satimage (1) 0.86738379488485
anneal (253) 0.82611029389283
anneal (255) 0.82611029389283
anneal (257) 0.82611029389283
anneal (260) 0.75232927819956
Weather (52) 0.37777777777778
Diabetes(scikit-learn) (26)
anneal (258) 0.82611029389283
XOR (54)
anneal (254) 0.82611029389283
anneal (259) 0.82611029389283
Weather (51) 0.42857142857143
XOR (53)
anneal (264) 0.82611029389283
Diabetes(scikit-learn) (27)
anneal (266) 0.82611029389283
Weather (53) 0.42857142857143
anneal (263) 0.82611029389283
Weather (54) 0.37777777777778
anneal (265) 0.82611029389283
anneal (262) 0.82611029389283
anneal (261) 0.82611029389283
anneal (269) 0.75232927819956
XOR (56)
XOR (55)
semeion (1) 0.87233866454364
anneal (271) 0.82611029389283
anneal (274) 0.82611029389283
anneal (278) 0.75232927819956
TESTa16e77a23a-pandas_testing_dataset (1)
anneal (275) 0.82611029389283
anneal (272) 0.82611029389283
anneal (276) 0.82611029389283
anneal (270) 0.82611029389283
Weather (55) 0.42857142857143
Weather (56) 0.37777777777778
Diabetes(scikit-learn) (28)
XOR (58)
XOR (57)
anneal (279) 0.93983387821765
TEST48d84f339b-UploadTestWithURL (1)
TEST119265b835-UploadTestWithURL (1)
pbc (1)
pol (1)
anneal (296) 0.82611029389283
anneal (293) 0.82611029389283
anneal (288) 0.82611029389283
anneal (291) 0.82611029389283
anneal (292) 0.82611029389283
anneal (280) 0.82611029389283
anneal (287) 0.82611029389283
anneal (286) 0.75232927819956
Weather (57) 0.42857142857143
XOR (60)
XOR (59)
anneal (281) 0.82611029389283
anneal (285) 0.82611029389283
anneal (282) 0.82611029389283
anneal (283) 0.82611029389283
Weather (58) 0.37777777777778
Diabetes(scikit-learn) (29)
mbagrade (1)
cleveland (1)
auto_price (1)
waveform-5000 (1) 0.60579664927152
climate-model-simulation-crashes (1) 0.035184167124794
anneal (304) 0.82611029389283
anneal (306) 0.82611029389283
anneal (295) 0.82611029389283
anneal (298) 0.82611029389283
XOR (61)
anneal (297) 0.82611029389283
anneal (305) 0.82611029389283
anneal (294) 0.82611029389283
anneal (290) 0.82611029389283
anneal (300) 0.82611029389283
anneal (289) 0.82611029389283
anneal (307) 0.75232927819956
Weather (60) 0.37777777777778
Weather (59) 0.42857142857143
Diabetes(scikit-learn) (30)
anneal (299) 0.82611029389283
XOR (62)
anneal (301) 0.82611029389283
anneal (302) 0.82611029389283
abalone (1) 0.10670901007122
MiceProtein (1) 0.98622394913458
detroit (1)
anneal (319) 0.82611029389283
anneal (316) 0.82611029389283
anneal (318) 0.82611029389283
anneal (321) 0.82611029389283
anneal (320) 0.82611029389283
anneal (317) 0.82611029389283
anneal (309) 0.82611029389283
anneal (314) 0.75232927819956
Weather (62) 0.37777777777778
XOR (63)
Diabetes(scikit-learn) (31)
XOR (64)
anneal (311) 0.82611029389283
anneal (312) 0.82611029389283
anneal (310) 0.82611029389283
anneal (308) 0.82611029389283
anneal (315) 0.82611029389283
Weather (61) 0.42857142857143
UNIX_user_data (1)
lowbwt (1)
anneal (328) 0.82611029389283
anneal (324) 0.82611029389283
anneal (329) 0.82611029389283
anneal (326) 0.75232927819956
Weather (63) 0.42857142857143
Weather (64) 0.37777777777778
Diabetes(scikit-learn) (32)
anneal (323) 0.82611029389283
anneal (327) 0.82611029389283
anneal (322) 0.82611029389283
XOR (66)
XOR (65)
anneal (330) 0.82611029389283
anneal (333) 0.82611029389283
anneal (332) 0.82611029389283
anneal (335) 0.82611029389283
anneal (334) 0.82611029389283
anneal (331) 0.82611029389283
kr-vs-kp (1) 0.86096765735711
mfeat-pixel (1) 0.94722222222222
mfeat-factors (1) 0.95111111111111
mfeat-karhunen (1) 0.94444444444444
letter (1) 0.93983387821765
cmc (1) 0.14890873693558
vowel (2) 0.91444444444444
scene (1) 0.74459481740215
monks-problems-1 (1) 0.87410071942446
monks-problems-3 (1) 0.91691986698833
sick (1) 0.61537854287767
soybean (1) 0.87134478138738
splice (1) 0.59762629179099
tic-tac-toe (1) 0.93674278922578
eucalyptus (1) 0.40228622299671
credit-g (1) 0.30447470817121
pendigits (1) 0.99120409421902
optdigits (1) 0.98121745508091
first-order-theorem-proving (1) 0.38676358668194
har (1) 0.94918957931045
ilpd (1) 0.17342046780926
madelon (1) 0.085384615384615
Amazon_employee_access (1) 0.44261231987065
cylinder-bands (2) 0.32113750650251
cjs (3) 0.027477662164009
LED-display-domain-7digit (1) 0.67074966741267
wall-robot-navigation (1) 0.79489275400317
tamilnadu-electricity (1) 1
adult (2) 0.43096769138747
gina_agnostic (1) 0.62141353347369
ada_agnostic (1) 0.38761465082845
mozilla4 (1) 0.72066084727756
pc4 (1) 0.31895436040283
pc3 (1) 0.25757770674794
JapaneseVowels (1) 0.9791905174141
irish (1) 0.95562225664859
analcatdata_authorship (1) 0.98269899752931
Click_prediction_small (5) 0.066527078552399
bank-marketing (1) 0.30303727832433
banknote-authentication (1) 0.99704928468811
blood-transfusion-service-center (1) 0.14866187295239
cardiotocography (1) 1
nomao (1) 0.87252664303486
ozone-level-8hr (1) 0.31421390253967
phoneme (1) 0.68772270933328
one-hundred-plants-margin (1) 0.71464646464646
one-hundred-plants-texture (1) 0.75363390094867
qsar-biodeg (1) 0.60872065925566
micro-mass (2) 0.57534005284274
texture (1) 0.9822
Australian (3) 0.64485337280825
synthetic_control (1) 0.958
dresses-sales (2) 0.07762938230384
car (1) 0.7503139820421
MagicTelescope (1) 0.5577522117348
balance-scale (1) 0.70279316712835
anneal (336) 0.82611029389283
anneal (338) 0.82611029389283
anneal (337) 0.82611029389283
mushroom (1) 1
profb (1) -0.074626865671642
kc1 (1) 0.35045478814046
musk (1) 0.9636889764997
artificial-characters (1) 0.76030669260697
cnae-9 (1) 0.7875
one-hundred-plants-shape (1) 0.60037878787879
cholesterol (1)
mfeat-fourier (1) 0.765
credit-a (1) 0.63828154967395
wilt (1) 0.40351484770754
gas-drift (1) 0.99284807277407
breast-w (1) 0.90444466721955
autoMpg (1)
jm1 (1) 0.20020772020129
PhishingWebsites (1) 0.92457141041463
pc1 (1) 0.40996301964622
steel-plates-fault (1) 0.9864096884941
analcatdata_dmft (1) 0.034568250643874
wdbc (1) 0.90520647994509
Bioresponse (1) 0.45279151257497
GesturePhaseSegmentationProcessed (1) 0.47304121751664
mfeat-morphological (1) 0.63388888888889
mfeat-zernike (1) 0.77055555555556
segment (1) 0.94343434343434
electricity (1) 0.54273634725232
monks-problems-2 (1) 0.26712518791414
sylva_agnostic (1) 0.78651914116023
hill-valley (1) 0.095709570957096
vehicle (1) 0.57417298173988
isolet (1) 0.84994233772427
anneal (344) 0.82611029389283
anneal (339) 0.82611029389283
anneal (342) 0.82611029389283
anneal (343) 0.75232927819956
Weather (66) 0.37777777777778
XOR (68)
XOR (67)
anneal (340) 0.82611029389283
anneal (346) 0.82611029389283
anneal (341) 0.82611029389283
anneal (347) 0.75232927819956
Weather (65) 0.42857142857143
Diabetes(scikit-learn) (33)
longley (1)
XOR (70)
anneal (348) 0.82611029389283
XOR (69)
iris (1) 0.91
anneal (352) 0.82611029389283
TEST8a66ba4708-XOR (1)
diabetes (1) 0.2960315504067
eeg-eye-state (1) 0.66842280942451
collins (1) 1
kc2 (1) 0.38773257284791
Weather (67) 0.42857142857143
anneal (351) 0.93983387821765
TEST86a99bbf4d-pandas_testing_dataset (1)
TEST0257ad226b-UploadTestWithURL (1)
anneal (1) 0.82611029389283
Diabetes(scikit-learn) (34)
TESTd8d77fb8f2-XOR (1)
anneal (354) 0.82611029389283
TEST512ad48b7b-pandas_testing_dataset (1)
anneal (355) 0.82611029389283
anneal (350) 0.82611029389283
anneal (353) 0.75232927819956
TEST6b8f1b5743-pandas_testing_dataset (1)
Weather (68) 0.37777777777778
TEST6b8f1b5743-pandas_testing_dataset (4)
TEST6b8f1b5743-pandas_testing_dataset (3)
TEST86a99bbf4d-pandas_testing_dataset (2)
TESTc8063b308b-UploadTestWithURL (1)
anneal (349) 0.82611029389283
TEST6b8f1b5743-pandas_testing_dataset (2)
TESTa520f7df26-ModifiedWeather (1)
TEST86a99bbf4d-pandas_testing_dataset (3) -0.25