Measure

DefaultAccuracy

The predictive accuracy obtained by always predicting the majority class.

Value per dataset

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
cylinder-bands (1) 0.57777777777778
nursery (1) 0.33333333333333
BNG(labor,nominal,1000000) (1) 0.64552
energy-efficiency (1) 0.096354166666667
BNG(autos,10000,10) (1) 0.323554
BNG(lymph,1000,1) (1) 0.543495
BNG(lymph,1000,5) (1) 0.543495
BNG(lymph,1000,10) (1) 0.543495
BNG(lymph,5000,1) (1) 0.543495
BNG(lymph,5000,5) (1) 0.543495
BNG(lymph,5000,10) (1) 0.543495
BNG(lymph,10000,1) (1) 0.543495
BNG(lymph,10000,5) (1) 0.543495
BNG(lymph,10000,10) (1) 0.543495
physionet_asystole (1) 0.83333333333333
physionet_bradycardia (1) 0.51111111111111
physionet_tachycardia (1) 0.94244604316547
contact-lenses (1) 0.625
cpu.with.vendor (1) -1
a1a (1) -1
a2a (1) -1
a3a (1) -1
a4a (1) -1
a5a (1) -1
a6a (1) -1
a7a (1) -1
a8a (1) -1
a9a (1) -1
colon-cancer (1) -1
svmguide1 (1) -1
fourclass (1) -1
german.numer (1) -1
iris-test (1) 0.33333333333333
hypothyroid (1) 0.9228525980912
anneal (241) 0.76169265033408
hayes-roth_test (1) 0.5
hayes-roth_train (1) 0.38636363636364
heart-h (1) 0.63945578231293
page-blocks (1) 0.89767951763201
audiology (1) 0.25221238938053
glass (1) 0.35514018691589
KungChi3 (1) 0.86991869918699
MyIris (1) 0.33333333333333
KnuggetChase3 (1) 0.81443298969072
MeanWhile1 (1) 0.89328063241107
MindCave2 (1) 0.648
dresses-sales (1) 0.58
MegaWatt1 (1) 0.89328063241107
CostaMadre1 (2) 0.87162162162162
breast-tissue (1) 0.20754716981132
heart-c (1) 0.54455445544554
20_newsgroups.drift (2) 0.95
BNG(ionosphere) (2) 0.641025
BNG(segment) (2) 0.143586
BNG(anneal) (2) 0.759652
slashdot (3) 0.98016922263353
XYZ (1) -1
Glass (3) 0.35514018691589