Measure

J48.00001.ErrRate

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001

Value per dataset

bridges (2) 0.34285714285714
postoperative-patient-data (1) 0.28888888888889
trains (1) 0.6
BNG(anneal,nominal,1000000) (1) 0.045377
BNG(anneal.ORIG,nominal,1000000) (1) 0.116793
BNG(kr-vs-kp) (1) 0.040738
BNG(letter,nominal,1000000) (1) 0.406965
BNG(autos,nominal,1000000) (1) 0.211549
BNG(lymph,nominal,1000000) (1) 0.084995
BNG(mfeat-fourier,nominal,1000000) (1) 0.167861
cylinder-bands (1) 0.42222222222222
nursery (1) 0.04429012345679
BNG(labor,nominal,1000000) (1) 0.036333
BNG(breast-cancer,nominal,1000000) (1) 0.217354
vowel (1) 0.31313131313131
amazon-commerce-reviews (1) 0.61066666666667
hypothyroid (1) 0.0053022269353128
labor (1) 0.28070175438596
bridges (1) 0.36190476190476
colic (2) 0.14402173913043
hayes-roth_test (1) 0.53571428571429
hayes-roth_train (1) 0.18181818181818
heart-h (1) 0.20748299319728
one-hundred-plants-margin (1) 0.60625
nomao (1) 0.054722181923691
page-blocks (1) 0.032523296181253
audiology (1) 0.25663716814159
mfeat-factors (1) 0.1375
mfeat-pixel (1) 0.247
anneal (1) 0.10356347438753
autos (1) 0.31219512195122
soybean (1) 0.12152269399707
madelon (1) 0.32807692307692
cmc (1) 0.50441276306857
ecoli (1) 0.19345238095238
liver-disorders (1) -1
glass (1) 0.35514018691589
zoo (1) 0.079207920792079
lymph (1) 0.24324324324324
cardiotocography (1) 0
balance-scale (1) 0.1984
ilpd (1) 0.28644939965695
one-hundred-plants-shape (1) 0.631875
ozone-level-8hr (1) 0.063141278610892
qsar-biodeg (1) 0.20568720379147