Measure

DefaultAccuracy

The predictive accuracy obtained by always predicting the majority class.

Value per dataset

MercuryinBass (1) -1
mv (1) -1
kdd_ipums_la_98-small (1) 0.89432197728791
qqdefects_numeric (1) -1
gina_prior2 (1) 0.11043829296424
ar1 (1) 0.92561983471074
analcatdata_challenger (2) 0.93478260869565
datatrieve (1) 0.91538461538462
puma32H (1) -1
kc1-top5 (1) 0.9448275862069
sylva_prior (1) 0.93845085098993
nasa_numeric (1) -1
mw1 (1) 0.92307692307692
mc1 (1) 0.99281639552081
ar6 (1) 0.85148514851485
glass (2) 0.64485981308411
mfeat-pixel (2) 0.9
soybean (2) 0.86530014641288
ar5 (1) 0.77777777777778
FacultySalaries (1) -1
Brainsize (1) -1
analcatdata_germangss (2) 0.775
kdd_ipums_la_99-small (1) 0.93577566711895
dermatology (2) 0.69398907103825
primary-tumor (2) 0.75221238938053
white-clover (1) 0.6031746031746
kdd_synthetic_control (1) 0.83333333333333
bridges (5) 0.58878504672897
vowel (3) 0.90909090909091
pc2 (1) 0.99588477366255
white-clover (2) 0.6031746031746
ar3 (1) 0.87301587301587
jEdit_4.0_4.2 (1) 0.51094890510949
cm1_req (1) 0.7752808988764
nursery (3) 0.3333847816021
bridges (2) 0.41121495327103
postoperative-patient-data (1) 0.71111111111111
trains (1) 0.5
BNG(anneal,nominal,1000000) (1) 0.759513
BNG(anneal.ORIG,nominal,1000000) (1) 0.759513
BNG(kr-vs-kp) (1) 0.521875
BNG(letter,nominal,1000000) (1) 0.040828
BNG(autos,nominal,1000000) (1) 0.323286
BNG(lymph,nominal,1000000) (1) 0.543512
BNG(mfeat-fourier,nominal,1000000) (1) 0.100595
walking-activity (1) 0.14726247555782
robot-failures-lp1 (1) 0.38636363636364
sonar (1) 0.53365384615385
volcanoes-a3 (1) 0.90006574621959
cylinder-bands (1) 0.57777777777778
nursery (1) 0.33333333333333
skin-segmentation (1) 0.79246052959107
BNG(labor,nominal,1000000) (1) 0.64552
BNG(breast-cancer,nominal,1000000) (1) 0.702823
leaf (1) 0.047058823529412
ionosphere (1) 0.64102564102564
vowel (1) 0.090909090909091
colic (1) 0.6304347826087
parkinsons (1) 0.75384615384615
wholesale-customers (1) 0.67727272727273
heart-long-beach (1) 0.28
heart-switzerland (1) 0.39024390243902
robot-failures-lp2 (1) 0.42553191489362
robot-failures-lp3 (1) 0.42553191489362
robot-failures-lp4 (1) 0.61538461538462
robot-failures-lp5 (1) 0.28658536585366
vertebra-column (1) 0.48387096774194
vertebra-column (2) 0.67741935483871
volcanoes-a1 (1) 0.90774907749077
volcanoes-a2 (1) 0.90634627233518
volcanoes-a4 (1) 0.9009900990099
volcanoes-b1 (1) 0.96216588050314
volcanoes-b2 (1) 0.96409823772028
volcanoes-b3 (1) 0.9634122857693
volcanoes-b4 (1) 0.96221786064769
volcanoes-b5 (1) 0.96095705275803
volcanoes-b6 (1) 0.96209279368213
volcanoes-c1 (1) 0.97446377419129
volcanoes-d1 (1) 0.94424768650748
volcanoes-d2 (1) 0.94526820758831
volcanoes-d3 (1) 0.94464189553043
volcanoes-d4 (1) 0.9432632308759
volcanoes-e1 (1) 0.91546914623838
volcanoes-e2 (1) 0.91111111111111
volcanoes-e3 (1) 0.91620986687549
volcanoes-e4 (1) 0.91373801916933
volcanoes-e5 (1) 0.90827338129496
autoUniv-au1-1000 (1) 0.741
autoUniv-au4-2500 (1) 0.4692
autoUniv-au6-750 (1) 0.22
autoUniv-au6-400 (1) 0.2775
autoUniv-au7-1100 (1) 0.27727272727273
autoUniv-au7-700 (1) 0.35
autoUniv-au7-500 (1) 0.384
autoUniv-au6-1000 (1) 0.24
acute-inflammations (2) 0.50833333333333
abalone (3) 0.34642087622696
bank-marketing (2) 0.8847600088476