Measure

MinorityClassPercentage

Percentage of instances belonging to the least frequent class.

Value per dataset

triazines (1)
anneal (8) 0.89086859688196
anneal (4) 0.89086859688196
anneal (2) 0.89086859688196
XOR (1)
Weather (1) 35.714285714286
web_questionsQA (1) 0.017211703958692
anneal (6) 0.89086859688196
anneal (7) 0.89086859688196
Weather (2) 35.714285714286
TEST381a3dd20c-NumPy_testing_dataset (1)
TEST9e3886e694-XOR (1)
iris (2) 33.333333333333
anneal (12) 0.89086859688196
anneal (14) 3.67
TESTc7ba0dcb5a-XOR (1)
TESTed4a84a4bb-pandas_testing_dataset (2)
test (6) 33.333333333333
TEST51ef687b9d-pandas_testing_dataset (2)
Diabetes(scikit-learn) (1)
anneal (13) 0.89086859688196
TESTb633b550cf-pandas_testing_dataset (1) 40
test (4) 33.333333333333
TEST51ef687b9d-pandas_testing_dataset (1)
TESTed4a84a4bb-pandas_testing_dataset (1) 40
test (3) 33.333333333333
test (1) 33.333333333333
test (2) 33.333333333333
TEST51ef687b9d-pandas_testing_dataset (4)
anneal (9) 45.879732739421
TESTaf99b42041-ModifiedWeather (1) 35.714285714286
XOR (2)
test (9) 33.333333333333
anneal (17) 0.89086859688196
test (7) 33.333333333333
TESTe216022baf-UploadTestWithURL (1)
iris-challenge (1) 20.666666666667
TEST8facacd8dc-UploadTestWithURL (1)
test (10) 33.333333333333
test (14) 33.333333333333
test (5) 33.333333333333
test (13) 33.333333333333
test (12) 33.333333333333
TEST51ef687b9d-pandas_testing_dataset (3)
TESTed4a84a4bb-pandas_testing_dataset (3) 20
anneal (3) 0.89086859688196
anneal (23) 0.89086859688196
TEST0ea351d931-pandas_testing_dataset (1)
anneal (24) 0.89086859688196
anneal (18) 0.89086859688196
test (11) 33.333333333333
test (8) 33.333333333333
cpu_act (1)
anneal (26) 0.89086859688196
anneal (27) 0.89086859688196
anneal (39) 0.89086859688196
anneal (43) 0.89086859688196
anneal (63) 0.89086859688196
test (16) 33.333333333333
TEST840571e677-pandas_testing_dataset (1) 40
anneal (58) 0.89086859688196
Weather (6) 35.714285714286
anneal (62) 0.89086859688196
anneal (30) 0.89086859688196
test (24) 33.333333333333
test (20) 33.333333333333
anneal (66) 45.879732739421
anneal (34) 0.89086859688196
anneal (38) 0.89086859688196
anneal (41) 0.89086859688196
Weather (3) 35.714285714286
XOR (4)
Weather (4) 35.714285714286
Weather (8) 35.714285714286
test (19) 33.333333333333
test (21) 33.333333333333
Diabetes(scikit-learn) (3)
XOR (3)
anneal (48) 0.89086859688196
XOR (6)
test (27) 33.333333333333
XOR (5)
bolts (1)
spambase (1) 39.404477287546
anneal (49) 0.89086859688196
test (33) 33.333333333333
anneal (32) 0.89086859688196
anneal (45) 0.89086859688196
anneal (16) 0.89086859688196
anneal (57) 0.89086859688196
Weather (5) 35.714285714286
test (26) 33.333333333333
XOR (7)
test (36) 33.333333333333
test (23) 33.333333333333
anneal (59) 0.89086859688196
test (28) 33.333333333333
anneal (42) 0.89086859688196
anneal (33) 0.89086859688196
test (15) 33.333333333333
anneal (37) 45.879732739421
anneal (53) 0.89086859688196
anneal (25) 0.89086859688196
anneal (56) 45.879732739421
test (39) 33.333333333333
TEST2fe1e97c97-pandas_testing_dataset (1)
test (35) 33.333333333333
test (29) 33.333333333333
test (31) 33.333333333333
anneal (52) 0.89086859688196
Diabetes(scikit-learn) (4)
anneal (54) 0.89086859688196
Weather (7) 35.714285714286
test (22) 33.333333333333
test (38) 33.333333333333
test (32) 33.333333333333
test (18) 33.333333333333
Diabetes(scikit-learn) (2)
TESTeab2945786-NumPy_testing_dataset (1)
vineyard (1)
pol (1)
anneal (31) 0.89086859688196
Weather (9) 35.714285714286
Diabetes(scikit-learn) (5)
TESTccda34c750-pandas_testing_dataset (1) 40
cnae-9 (1) 11.111111111111
one-hundred-plants-margin (1) 1
anneal (74) 0.89086859688196
Weather (11) 35.714285714286
anneal (61) 0.89086859688196
test (17) 33.333333333333
TEST22dd0ebd9b-ModifiedWeather (1) 35.714285714286
anneal (36) 0.89086859688196
test (43) 33.333333333333
XOR (9)
anneal (89) 0.89086859688196
TESTee7d03de92-pandas_testing_dataset (1) 40
anneal (77) 0.89086859688196
anneal (84) 0.89086859688196
TEST76d8cfa095-pandas_testing_dataset (1)
XOR (10)
TESTaf3b61833a-NumPy_testing_dataset (1)
TEST9aca640b6e-NumPy_testing_dataset (1)
blood-transfusion-service-center (1) 23.79679144385
autoMpg (1)
autoPrice (1)
quake (1)
pbc (1)
TEST5f1dfbd75d-pandas_testing_dataset (1)
anneal (95) 0.89086859688196
anneal (80) 0.89086859688196
test (40) 33.333333333333
TESTda410c34dc-pandas_testing_dataset (2)
TEST398fcda80b-ModifiedWeather (1) 35.714285714286
TEST7e318eb969-pandas_testing_dataset (3) 20
Weather (10) 35.714285714286
test (41) 33.333333333333
TEST76d8cfa095-pandas_testing_dataset (3)
test (49) 33.333333333333
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) 0.89086859688196
TEST2fb3e3c09b-XOR (1)
anneal (101) 0.89086859688196
anneal (92) 0.89086859688196
anneal (75) 0.89086859688196
XOR (8)
Weather (14) 35.714285714286
TESTccda34c750-pandas_testing_dataset (3) 20
test (42) 33.333333333333
test (30) 33.333333333333
XOR (13)
anneal (103) 0.89086859688196
Weather (12) 35.714285714286
anneal (90) 0.89086859688196
anneal (73) 0.89086859688196
anneal (88) 45.879732739421
TESTe2a3b91028-ModifiedWeather (1) 35.714285714286
TESTf7444a8ea4-pandas_testing_dataset (3) 20
TEST07c2b360c0-pandas_testing_dataset (3) 20
TEST7e318eb969-pandas_testing_dataset (2)
test (47) 33.333333333333
test (50) 33.333333333333
TESTda410c34dc-pandas_testing_dataset (1)
anneal (98) 0.89086859688196
test (37) 33.333333333333
anneal (86) 45.879732739421
anneal (105) 45.879732739421
anneal (87) 0.89086859688196
anneal (99) 0.89086859688196
test (44) 33.333333333333
TESTcf74ef9481-XOR (1)
XOR (12)
test (51) 33.333333333333
anneal (91) 3.67
test (46) 33.333333333333
test (45) 33.333333333333
test (52) 33.333333333333
anneal (44) 0.89086859688196
anneal (79) 0.89086859688196
anneal (28) 0.89086859688196
test (48) 33.333333333333
TEST7e318eb969-pandas_testing_dataset (1) 40
TESTda410c34dc-pandas_testing_dataset (4)
TEST07c2b360c0-pandas_testing_dataset (2)
TESTdcaa77be46-XOR (1)
TEST8eecdebbd6-XOR (1)
anneal (102) 0.89086859688196
Diabetes(scikit-learn) (7)
anneal (97) 0.89086859688196
TEST2302efba1e-XOR (1)
anneal (72) 45.879732739421
test (34) 33.333333333333
TEST07c2b360c0-pandas_testing_dataset (1) 40
Weather (13) 35.714285714286
TESTc09922bc0f-XOR (1)
test (25) 33.333333333333
TEST76d8cfa095-pandas_testing_dataset (2)
TEST76d8cfa095-pandas_testing_dataset (4)
cylinder-bands (2) 42.222222222222
diabetes_numeric (1)
semeion (1) 9.7300690521029
anneal (11) 0.89086859688196
anneal (106) 0.89086859688196
anneal (115) 45.879732739421
XOR (18)
anneal (116) 3.67
anneal (113) 0.89086859688196
anneal (107) 0.89086859688196
mfeat-zernike (1) 10
Bioresponse (1) 45.774460143962
kr-vs-kp (1) 47.778473091364
lowbwt (1)
anneal (82) 0.89086859688196
anneal (114) 0.89086859688196
Diabetes(scikit-learn) (9)
Diabetes(scikit-learn) (8)
Diabetes(scikit-learn) (10)
credit-a (1) 44.492753623188
anneal (119) 0.89086859688196
anneal (118) 0.89086859688196
XOR (21)
Weather (17) 35.714285714286
Weather (21) 35.714285714286
XOR (23)
XOR (19)
XOR (17)
XOR (16)
XOR (24)
Diabetes(scikit-learn) (11)
profb (1) 33.333333333333
climate-model-simulation-crashes (1) 8.5185185185185
pendigits (1) 9.5978893740902
tic-tac-toe (1) 34.655532359081
abalone (1) 0.023940627244434
delta_elevators (1)
MiceProtein (1) 9.7222222222222
anneal (108) 0.89086859688196
artificial-characters (1) 5.871990604815
cloud (1)
mushroom (1) 48.202855736091
anneal (141) 0.89086859688196
Weather (18) 35.714285714286
anneal (147) 0.89086859688196
anneal (136) 0.89086859688196
anneal (135) 45.879732739421
anneal (122) 45.879732739421
XOR (22)
Weather (22) 35.714285714286
anneal (112) 0.89086859688196
XOR (29)
anneal (128) 0.89086859688196
anneal (139) 0.89086859688196
XOR (27)
eucalyptus (1) 14.266304347826
PhishingWebsites (1) 44.305744007237
one-hundred-plants-shape (1) 1
cholesterol (1)
texture (1) 9.0909090909091
fourclass_scale (1)
credit-g (1) 30
anneal (151) 0.89086859688196
anneal (132) 0.89086859688196
anneal (156) 0.89086859688196
anneal (134) 0.89086859688196
anneal (149) 0.89086859688196
Weather (16) 35.714285714286
Weather (15) 35.714285714286
Weather (27) 35.714285714286
anneal (126) 0.89086859688196
anneal (167) 0.89086859688196
anneal (127) 0.89086859688196
anneal (131) 0.89086859688196
anneal (124) 45.879732739421
Diabetes(scikit-learn) (15)
Diabetes(scikit-learn) (14)
anneal (143) 0.89086859688196
anneal (121) 0.89086859688196
anneal (146) 0.89086859688196
anneal (158) 0.89086859688196
anneal (120) 0.89086859688196
anneal (117) 45.879732739421
Weather (24) 35.714285714286
Diabetes(scikit-learn) (12)
XOR (31)
anneal (150) 0.89086859688196
XOR (32)
Weather (23) 35.714285714286
anneal (160) 0.89086859688196
Diabetes(scikit-learn) (17)
anneal (155) 0.89086859688196
Weather (30) 35.714285714286
anneal (110) 0.89086859688196
anneal (173) 45.879732739421
Weather (20) 35.714285714286
TEST569e152152-pandas_testing_dataset (2)
XOR (33)
Weather (26) 35.714285714286
Weather (28) 35.714285714286
XOR (15)
anneal (137) 45.879732739421
Weather (19) 35.714285714286
anneal (144) 0.89086859688196
XOR (25)
anneal (166) 45.879732739421
XOR (30)
anneal (159) 0.89086859688196
anneal (161) 0.89086859688196
anneal (154) 0.89086859688196
anneal (125) 0.89086859688196
Weather (31) 35.714285714286
Weather (34) 35.714285714286
anneal (168) 0.89086859688196
anneal (172) 0.89086859688196
anneal (140) 0.89086859688196
anneal (129) 0.89086859688196
anneal (174) 0.89086859688196
XOR (20)
Weather (25) 35.714285714286
Diabetes(scikit-learn) (16)
XOR (34)
XOR (28)
anneal (162) 0.89086859688196
anneal (109) 0.89086859688196
anneal (171) 0.89086859688196
anneal (164) 0.89086859688196
anneal (145) 0.89086859688196
anneal (123) 45.879732739421
Weather (33) 35.714285714286
Diabetes(scikit-learn) (13)
XOR (26)
anneal (152) 0.89086859688196
anneal (169) 0.89086859688196
anneal (142) 45.879732739421
Weather (29) 35.714285714286
Weather (32) 35.714285714286
TESTd643aafd62-NumPy_testing_dataset (1)
TEST63cd902071-pandas_testing_dataset (2)
anneal (175) 0.89086859688196
TESTe55d2d0c3d-pandas_testing_dataset (2)
anneal (177) 0.89086859688196
TESTe55d2d0c3d-pandas_testing_dataset (3) 20
anneal (178) 3.67
TEST9d96ec7ade-UploadTestWithURL (1)
anneal (180) 0.89086859688196
TESTcf61db30f6-pandas_testing_dataset (1) 40
anneal (181) 0.89086859688196
TEST63cd902071-pandas_testing_dataset (4)
TEST63cd902071-pandas_testing_dataset (3)
TESTada3067c77-XOR (1)
TESTf112d7f8be-XOR (1)
TEST9ecb165245-UploadTestWithURL (1)
anneal (179) 0.89086859688196
TESTaebada2a36-ModifiedWeather (1) 35.714285714286
TESTe55d2d0c3d-pandas_testing_dataset (1) 40
TEST63cd902071-pandas_testing_dataset (1)
anneal (182) 0.89086859688196
anneal (183) 0.89086859688196
anneal (184) 0.89086859688196
mfeat-pixel (1) 10
madelon (1) 50
cleveland (1)
mfeat-karhunen (1) 10
isolet (1) 3.8219828139028
mozilla4 (1) 32.859440334513
anneal (185) 0.89086859688196
Weather (35) 35.714285714286
anneal (190) 0.89086859688196
anneal (187) 0.89086859688196
anneal (192) 0.89086859688196
anneal (191) 45.879732739421
Weather (36) 35.714285714286
XOR (36)
bank-marketing (1) 11.698480458296
musk (1) 15.413761745984
sylva_agnostic (1) 6.1549149010073
pc3 (1) 10.236724248241
wisconsin (1)
anneal (186) 0.89086859688196
anneal (189) 0.89086859688196
Diabetes(scikit-learn) (18)
XOR (35)
NumPy_testing_dataset (1)
anneal (193) 3.67
ModifiedWeather (1) 35.714285714286
XOR (37)
XOR (38)
UploadTestWithURL (1)
UploadTestWithURL (2)
anneal (195) 0.89086859688196
anneal (198) 0.89086859688196
anneal (194) 0.89086859688196
anneal (201) 0.89086859688196
Weather (38) 35.714285714286
XOR (39)
Weather (37) 35.714285714286
Diabetes(scikit-learn) (19)
anneal (199) 0.89086859688196
anneal (196) 0.89086859688196
anneal (200) 45.879732739421
XOR (40)
UNIX_user_data (1) 5.3186813186813
anneal (176) 0.89086859688196
mfeat-fourier (1) 10
car (1) 3.7615740740741
splice (1) 24.043887147335
vehicle (1) 23.522458628842
electricity (1) 42.454537429379
anneal (208) 0.89086859688196
anneal (202) 0.89086859688196
anneal (206) 45.879732739421
Weather (39) 35.714285714286
XOR (42)
anneal (203) 0.89086859688196
anneal (209) 0.89086859688196
anneal (207) 0.89086859688196
anneal (204) 0.89086859688196
Weather (40) 35.714285714286
Diabetes(scikit-learn) (20)
XOR (41)
har (1) 13.651810855423
hill-valley (1) 50
micro-mass (2) 1.9264448336252
detroit (1)
mfeat-morphological (1) 10
sick (1) 6.1240721102863
LED-display-domain-7digit (1) 7.4
scene (1) 17.90610718737
auto_price (1)
breast-w (1) 34.47782546495
anneal (94) 0.89086859688196
anneal (213) 0.89086859688196
anneal (215) 0.89086859688196
Diabetes(scikit-learn) (21)
Weather (42) 35.714285714286
Weather (41) 35.714285714286
XOR (43)
anneal (211) 0.89086859688196
anneal (210) 0.89086859688196
anneal (214) 0.89086859688196
anneal (212) 0.89086859688196
anneal (218) 45.879732739421
XOR (44)
segment (1) 14.285714285714
anneal (222) 0.89086859688196
Weather (43) 35.714285714286
anneal (220) 0.89086859688196
XOR (46)
anneal (224) 0.89086859688196
anneal (226) 0.89086859688196
anneal (219) 0.89086859688196
Diabetes(scikit-learn) (22)
XOR (45)
anneal (221) 0.89086859688196
anneal (225) 45.879732739421
Weather (44) 35.714285714286
monks-problems-1 (1) 50
irish (1) 44.4
gina_agnostic (1) 49.163783160323
MagicTelescope (1) 35.162986330179
fruitfly (1)
cjs (3) 9.7997138769671
dresses-sales (2) 42
jm1 (1) 19.347726228755
mfeat-factors (1) 10
balance-scale (1) 7.84
optdigits (1) 9.8576512455516
letter (1) 3.67
cmc (1) 22.606924643585
soybean (1) 1.1713030746706
pc1 (1) 6.9431920649234
banknote-authentication (1) 44.460641399417
cardiotocography (1) 2.4929444967074
gas-drift (1) 11.797268152408
ilpd (1) 28.644939965695
ozone-level-8hr (1) 6.3141278610892
phoneme (1) 29.348630643967
tamilnadu-electricity (1) 3.051484240187
wilt (1) 5.3936763794172
mbagrade (1)
sleep (1)
vowel (2) 9.0909090909091
synthetic_control (1) 16.666666666667
kc1 (1) 15.457562825984
wall-robot-navigation (1) 6.0117302052786
steel-plates-fault (1) 34.672849046883
Amazon_employee_access (1) 5.7890079038115
GesturePhaseSegmentationProcessed (1) 10.108376380026
kin8nm (1)
qsar-biodeg (1) 33.744075829384
satimage (1) 9.7200622083981
nomao (1) 28.562309589439
Click_prediction_small (5) 16.841894462802
anneal (234) 0.89086859688196
Diabetes(scikit-learn) (23)
anneal (244) 45.879732739421
XOR (50)
anneal (228) 0.89086859688196
anneal (237) 0.89086859688196
anneal (242) 0.89086859688196
anneal (231) 45.879732739421
Weather (47) 35.714285714286
Weather (45) 35.714285714286
TEST08f51af3c8-pandas_testing_dataset (1) 40
TESTa365aee568-UploadTestWithURL (1)
anneal (233) 0.89086859688196
anneal (240) 0.89086859688196
anneal (229) 0.89086859688196
TEST037907c164-pandas_testing_dataset (3) 20
TESTa540f38c2d-pandas_testing_dataset (1)
TESTfd496f5b4d-XOR (1)
TEST037907c164-pandas_testing_dataset (2)
XOR (47)
XOR (48)
TEST82462bce44-UploadTestWithURL (1)
XOR (49)
anneal (241) 0.89086859688196
anneal (227) 0.89086859688196
anneal (236) 0.89086859688196
TESTa540f38c2d-pandas_testing_dataset (4)
Weather (46) 35.714285714286
Weather (48) 35.714285714286
anneal (235) 3.67
TESTa540f38c2d-pandas_testing_dataset (2)
TESTa540f38c2d-pandas_testing_dataset (3)
anneal (238) 0.89086859688196
Diabetes(scikit-learn) (24)
GermanCreditModified (1)
GermanCreditModified (3)
GermanCreditModified (2)
TEST062fea70c5-XOR (1)
anneal (249) 0.89086859688196
Weather (50) 35.714285714286
anneal (246) 0.89086859688196
anneal (251) 0.89086859688196
anneal (252) 0.89086859688196
anneal (247) 0.89086859688196
anneal (245) 0.89086859688196
XOR (51)
anneal (250) 45.879732739421
Weather (49) 35.714285714286
Diabetes(scikit-learn) (25)
XOR (52)
ada_agnostic (1) 24.813678211311
pc4 (1) 12.208504801097
first-order-theorem-proving (1) 7.9437724746649
one-hundred-plants-texture (1) 0.93808630393996
wdbc (1) 37.25834797891
pharynx (1)
analcatdata_dmft (1) 15.43287327478
Australian (3) 44.492753623188
waveform-5000 (1) 33.06
monks-problems-2 (1) 34.276206322795
JapaneseVowels (1) 7.8506174078908
adult (2) 23.928176569346
anneal (232) 0.89086859688196
monks-problems-3 (1) 48.014440433213
analcatdata_authorship (1) 6.5398335315101
diabetes (1) 34.895833333333
eeg-eye-state (1) 44.879839786382
collins (1) 1.2
kc2 (1) 20.498084291188
anneal (253) 0.89086859688196
anneal (255) 0.89086859688196
anneal (257) 0.89086859688196
anneal (260) 45.879732739421
Weather (52) 35.714285714286
anneal (1) 0.89086859688196
Diabetes(scikit-learn) (26)
longley (1)
iris (1) 33.333333333333
anneal (259) 0.89086859688196
anneal (258) 0.89086859688196
XOR (54)
Weather (51) 35.714285714286
XOR (53)
anneal (254) 0.89086859688196