Measure

REPTreeDepth2ErrRate

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

Value per dataset

MercuryinBass (1) -1
mv (1) -1
kdd_ipums_la_98-small (1) 0.10821643286573
qqdefects_numeric (1) -1
gina_prior2 (1) 0.66753171856978
ar1 (1) 0.090909090909091
analcatdata_challenger (2) 0.065217391304348
datatrieve (1) 0.092307692307692
puma32H (1) -1
kc1-top5 (1) 0.055172413793103
sylva_prior (1) 0.010142410559222
nasa_numeric (1) -1
mw1 (1) 0.076923076923077
mc1 (1) 0.0067610395098246
ar6 (1) 0.14851485148515
glass (2) 0.38317757009346
mfeat-pixel (2) 0.021
soybean (2) 0.071742313323572
ar5 (1) 0.25
FacultySalaries (1) -1
Brainsize (1) -1
analcatdata_germangss (2) 0.115
kdd_ipums_la_99-small (1) 0.06625961103573
dermatology (2) 0.024590163934426
primary-tumor (2) 0.19469026548673
white-clover (1) 0.44444444444444
kdd_synthetic_control (1) 0.02
bridges (5) 0.38317757009346
vowel (3) 0.036363636363636
pc2 (1) 0.0041152263374486
white-clover (2) 0.3968253968254
ar3 (1) 0.15873015873016
jEdit_4.0_4.2 (1) 0.28832116788321
cm1_req (1) 0.2247191011236
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
sonar (1) 0.28846153846154
cylinder-bands (1) 0.42222222222222
nursery (1) 0.057253086419753
BNG(labor,nominal,1000000) (1) 0.036843
BNG(breast-cancer,nominal,1000000) (1) 0.218453
ionosphere (1) 0.1025641025641
lymph (1) 0.29054054054054
vowel (1) 0.63939393939394
colic (1) 0.17663043478261
autoUniv-au1-1000 (1) 0.245
autoUniv-au4-2500 (1) 0.32
autoUniv-au6-750 (1) 0.78666666666667
autoUniv-au7-1100 (1) 0.67636363636364
autoUniv-au7-700 (1) 0.52857142857143
autoUniv-au7-500 (1) 0.516
autoUniv-au6-1000 (1) 0.719
abalone (3) 0.40459660043093
bank-marketing (2) 0.11678832116788