Measure

CfsSubsetEval_NaiveBayesErrRate

Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

Value per dataset

MercuryinBass (1) -1
mv (1) -1
kdd_ipums_la_98-small (1) 0.10781563126253
qqdefects_numeric (1) -1
gina_prior2 (1) 0.22029988465975
ar1 (1) 0.090909090909091
analcatdata_challenger (2) 0.065217391304348
datatrieve (1) 0.084615384615385
puma32H (1) -1
kc1-top5 (1) 0.062068965517241
sylva_prior (1) 0.0091698506425842
nasa_numeric (1) -1
mw1 (1) 0.11414392059553
mc1 (1) 0.0067610395098246
ar6 (1) 0.14851485148515
glass (2) 0.33644859813084
mfeat-pixel (2) 0.0175
soybean (2) 0.10102489019034
ar5 (1) 0.22222222222222
FacultySalaries (1) -1
Brainsize (1) -1
analcatdata_germangss (2) 0.1025
kdd_ipums_la_99-small (1) 0.26413387607417
dermatology (2) 0.0054644808743169
primary-tumor (2) 0.21828908554572
white-clover (1) 0.46031746031746
kdd_synthetic_control (1) 0.015
bridges (5) 0.22429906542056
vowel (3) 0.03030303030303
pc2 (1) 0.0041152263374486
white-clover (2) 0.41269841269841
ar3 (1) 0.17460317460317
jEdit_4.0_4.2 (1) 0.31751824817518
cm1_req (1) 0.26966292134831
bridges (2) 0.36190476190476
postoperative-patient-data (1) 0.28888888888889
trains (1) 0.4
BNG(anneal,nominal,1000000) (1) 0.107342
BNG(anneal.ORIG,nominal,1000000) (1) 0.146965
BNG(kr-vs-kp) (1) 0.081344
BNG(letter,nominal,1000000) (1) 0.548189
BNG(autos,nominal,1000000) (1) 0.274799
BNG(lymph,nominal,1000000) (1) 0.107655
BNG(mfeat-fourier,nominal,1000000) (1) 0.163185
sonar (1) 0.37019230769231
cylinder-bands (1) 0.42222222222222
nursery (1) 0.04429012345679
BNG(labor,nominal,1000000) (1) 0.056435
BNG(breast-cancer,nominal,1000000) (1) 0.219233
ionosphere (1) 0.096866096866097
lymph (1) 0.23648648648649
vowel (1) 0.30505050505051
colic (1) 0.18478260869565
autoUniv-au1-1000 (1) 0.259
autoUniv-au4-2500 (1) 0.4252
autoUniv-au6-750 (1) 0.77866666666667
autoUniv-au7-1100 (1) 0.68636363636364
autoUniv-au7-700 (1) 0.6
autoUniv-au7-500 (1) 0.642
autoUniv-au6-1000 (1) 0.766
abalone (3) 0.41704572659804
bank-marketing (2) 0.1059500110595