Measure

J48.001.ErrRate

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001

Value per dataset

MercuryinBass (1) -1
mv (1) -1
kdd_ipums_la_98-small (1) 0.10661322645291
qqdefects_numeric (1) -1
gina_prior2 (1) 0.28056516724337
ar1 (1) 0.090909090909091
analcatdata_challenger (2) 0.065217391304348
datatrieve (1) 0.084615384615385
puma32H (1) -1
kc1-top5 (1) 0.075862068965517
sylva_prior (1) 0.0069468565474123
nasa_numeric (1) -1
mw1 (1) 0.081885856079404
mc1 (1) 0.0059159095710966
ar6 (1) 0.22772277227723
glass (2) 0.25700934579439
mfeat-pixel (2) 0.0155
soybean (2) 0.033674963396779
ar5 (1) 0.22222222222222
FacultySalaries (1) -1
Brainsize (1) -1
analcatdata_germangss (2) 0.125
kdd_ipums_la_99-small (1) 0.067616463138851
dermatology (2) 0.021857923497268
primary-tumor (2) 0.21533923303835
white-clover (1) 0.3968253968254
kdd_synthetic_control (1) 0.015
bridges (5) 0.20560747663551
vowel (3) 0.057575757575758
pc2 (1) 0.0041152263374486
white-clover (2) 0.34920634920635
ar3 (1) 0.12698412698413
jEdit_4.0_4.2 (1) 0.28832116788321
cm1_req (1) 0.25842696629213
bridges (2) 0.34285714285714
postoperative-patient-data (1) 0.28888888888889
trains (1) 0.6
BNG(anneal,nominal,1000000) (1) 0.043078
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
sonar (1) 0.33173076923077
cylinder-bands (1) 0.42222222222222
nursery (1) 0.04429012345679
BNG(labor,nominal,1000000) (1) 0.036333
BNG(breast-cancer,nominal,1000000) (1) 0.217354
ionosphere (1) 0.11680911680912
lymph (1) 0.24324324324324
vowel (1) 0.31313131313131
colic (1) 0.16032608695652
autoUniv-au1-1000 (1) 0.259
autoUniv-au4-2500 (1) 0.3072
autoUniv-au6-750 (1) 0.79066666666667
autoUniv-au7-1100 (1) 0.63181818181818
autoUniv-au7-700 (1) 0.5
autoUniv-au7-500 (1) 0.542
autoUniv-au6-1000 (1) 0.781
abalone (3) 0.37658606655494
bank-marketing (2) 0.1152399911524