Measure

RandomTreeDepth2ErrRate

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

Value per dataset

bridges (2) 0.51428571428571
postoperative-patient-data (1) 0.45555555555556
trains (1) 0.2
BNG(anneal,nominal,1000000) (1) 0.208854
BNG(anneal.ORIG,nominal,1000000) (1) 0.126609
BNG(kr-vs-kp) (1) 0.049844
BNG(letter,nominal,1000000) (1) 0.415773
BNG(autos,nominal,1000000) (1) 0.284637
BNG(lymph,nominal,1000000) (1) 0.105028
BNG(mfeat-fourier,nominal,1000000) (1) 0.282509
cylinder-bands (1) 0.4
nursery (1) 0.074614197530864
BNG(labor,nominal,1000000) (1) 0.042096
BNG(breast-cancer,nominal,1000000) (1) 0.224767
vowel (1) 0.32121212121212
amazon-commerce-reviews (1) 0.95333333333333
hypothyroid (1) 0.036850477200424
labor (1) 0.29824561403509
bridges (1) 0.58095238095238
colic (2) 0.24728260869565
hayes-roth_test (1) 0.42857142857143
hayes-roth_train (1) 0.16666666666667
heart-h (1) 0.24489795918367
one-hundred-plants-margin (1) 0.960625
nomao (1) 0.18082112287828
page-blocks (1) 0.038918326329253
audiology (1) 0.39380530973451
mfeat-factors (1) 0.193
mfeat-pixel (1) 0.409
anneal (1) 0.080178173719376
autos (1) 0.26829268292683
soybean (1) 0.18594436310395
madelon (1) 0.48230769230769
cmc (1) 0.52070604209097
ecoli (1) 0.25297619047619
liver-disorders (1) -1
glass (1) 0.35046728971963
zoo (1) 0.12871287128713
lymph (1) 0.24324324324324
cardiotocography (1) 0.42850423330198
balance-scale (1) 0.2144
ilpd (1) 0.28644939965695
one-hundred-plants-shape (1) 0.960625
ozone-level-8hr (1) 0.063141278610892