Measure

DecisionStumpErrRate

Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump

Value per dataset

MercuryinBass (1) -1
mv (1) -1
kdd_ipums_la_98-small (1) 0.10567802271209
qqdefects_numeric (1) -1
gina_prior2 (1) 0.79267589388697
ar1 (1) 0.090909090909091
analcatdata_challenger (2) 0.065217391304348
datatrieve (1) 0.092307692307692
puma32H (1) -1
kc1-top5 (1) 0.082758620689655
sylva_prior (1) 0.061549149010073
nasa_numeric (1) -1
mw1 (1) 0.076923076923077
mc1 (1) 0.0071836044791887
ar6 (1) 0.15841584158416
glass (2) 0.32242990654206
mfeat-pixel (2) 0.1
soybean (2) 0.13469985358712
ar5 (1) 0.22222222222222
FacultySalaries (1) -1
Brainsize (1) -1
analcatdata_germangss (2) 0.225
kdd_ipums_la_99-small (1) 0.064224332881049
dermatology (2) 0.024590163934426
primary-tumor (2) 0.25368731563422
white-clover (1) 0.52380952380952
kdd_synthetic_control (1) 0.02
bridges (5) 0.21495327102804
vowel (3) 0.056565656565657
pc2 (1) 0.0041152263374486
white-clover (2) 0.44444444444444
ar3 (1) 0.11111111111111
jEdit_4.0_4.2 (1) 0.28102189781022
cm1_req (1) 0.2247191011236
bridges (2) 0.42857142857143
postoperative-patient-data (1) 0.3
trains (1) 0.5
BNG(anneal,nominal,1000000) (1) 0.170684
BNG(anneal.ORIG,nominal,1000000) (1) 0.240487
BNG(kr-vs-kp) (1) 0.344194
BNG(letter,nominal,1000000) (1) 0.923058
BNG(autos,nominal,1000000) (1) 0.553684
BNG(lymph,nominal,1000000) (1) 0.272795
BNG(mfeat-fourier,nominal,1000000) (1) 0.807753
sonar (1) 0.33653846153846
cylinder-bands (1) 0.32407407407407
nursery (1) 0.3375
BNG(labor,nominal,1000000) (1) 0.173234
BNG(breast-cancer,nominal,1000000) (1) 0.283577
ionosphere (1) 0.17378917378917
lymph (1) 0.24324324324324
vowel (1) 0.82424242424242
colic (1) 0.18478260869565
autoUniv-au1-1000 (1) 0.259
autoUniv-au4-2500 (1) 0.4404
autoUniv-au6-750 (1) 0.79066666666667
autoUniv-au7-1100 (1) 0.69818181818182
autoUniv-au7-700 (1) 0.56428571428571
autoUniv-au7-500 (1) 0.614
autoUniv-au6-1000 (1) 0.714
abalone (3) 0.43428297821403
bank-marketing (2) 0.1152399911524