Measure

REPTreeDepth2ErrRate

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2

Value per dataset

bridges (2) 0.58095238095238
postoperative-patient-data (1) 0.28888888888889
trains (1) 0.6
BNG(anneal,nominal,1000000) (1) 0.153097
BNG(anneal.ORIG,nominal,1000000) (1) 0.11984
BNG(kr-vs-kp) (1) 0.041355
BNG(letter,nominal,1000000) (1) 0.411094
BNG(autos,nominal,1000000) (1) 0.21843
BNG(lymph,nominal,1000000) (1) 0.091991
BNG(mfeat-fourier,nominal,1000000) (1) 0.161914
cylinder-bands (1) 0.42222222222222
nursery (1) 0.057253086419753
BNG(labor,nominal,1000000) (1) 0.036843
BNG(breast-cancer,nominal,1000000) (1) 0.218453
vowel (1) 0.63939393939394
amazon-commerce-reviews (1) 0.93666666666667
hypothyroid (1) 0.0079533404029692
labor (1) 0.21052631578947
bridges (1) 0.58095238095238
colic (2) 0.16847826086957
hayes-roth_test (1) 0.60714285714286
hayes-roth_train (1) 0.43939393939394
heart-h (1) 0.22789115646259
one-hundred-plants-margin (1) 0.96125
nomao (1) 0.10146525460612
page-blocks (1) 0.033985017357939
audiology (1) 0.29646017699115
mfeat-factors (1) 0.1575
mfeat-pixel (1) 0.293
anneal (1) 0.084632516703786
autos (1) 0.4390243902439
soybean (1) 0.26500732064422
madelon (1) 0.35038461538462
cmc (1) 0.48811948404616
ecoli (1) 0.24107142857143
liver-disorders (1) -1
glass (1) 0.4018691588785
zoo (1) 0.14851485148515
lymph (1) 0.29054054054054
cardiotocography (1) 0.39087488240828
balance-scale (1) 0.2144
ilpd (1) 0.28644939965695
one-hundred-plants-shape (1) 0.9625
ozone-level-8hr (1) 0.063141278610892