Measure

kNN1NErrRate

Error rate achieved by the landmarker weka.classifiers.lazy.IBk

Value per dataset

MercuryinBass (1) -1
mv (1) -1
kdd_ipums_la_98-small (1) 0.15110220440882
qqdefects_numeric (1) -1
gina_prior2 (1) 0.091407151095732
ar1 (1) 0.099173553719008
analcatdata_challenger (2) 0.08695652173913
datatrieve (1) 0.1
puma32H (1) -1
kc1-top5 (1) 0.055172413793103
sylva_prior (1) 0.01111497047586
nasa_numeric (1) -1
mw1 (1) 0.10173697270471
mc1 (1) 0.0073948869638707
ar6 (1) 0.1980198019802
glass (2) 0.23364485981308
mfeat-pixel (2) 0.012
soybean (2) 0.026354319180088
ar5 (1) 0.25
FacultySalaries (1) -1
Brainsize (1) -1
analcatdata_germangss (2) 0.13
kdd_ipums_la_99-small (1) 0.093848937132519
dermatology (2) 0.013661202185792
primary-tumor (2) 0.18879056047198
white-clover (1) 0.49206349206349
kdd_synthetic_control (1) 0
bridges (5) 0.19626168224299
vowel (3) 0.0060606060606061
pc2 (1) 0.0073358382537126
white-clover (2) 0.31746031746032
ar3 (1) 0.19047619047619
jEdit_4.0_4.2 (1) 0.33211678832117
cm1_req (1) 0.26966292134831
bridges (2) 0.38095238095238
postoperative-patient-data (1) 0.35555555555556
trains (1) 0.5
BNG(anneal,nominal,1000000) (1) 0.048416
BNG(anneal.ORIG,nominal,1000000) (1) 0.122294
BNG(kr-vs-kp) (1) 0.046816
BNG(letter,nominal,1000000) (1) 0.409372
BNG(autos,nominal,1000000) (1) 0.207877
BNG(lymph,nominal,1000000) (1) 0.087971
BNG(mfeat-fourier,nominal,1000000) (1) 0.206015
sonar (1) 0.16826923076923
cylinder-bands (1) 0.31481481481481
nursery (1) 0.037268518518519
BNG(labor,nominal,1000000) (1) 0.038031
BNG(breast-cancer,nominal,1000000) (1) 0.222124
ionosphere (1) 0.14529914529915
lymph (1) 0.19594594594595
vowel (1) 0.077777777777778
colic (1) 0.19836956521739
autoUniv-au1-1000 (1) 0.338
autoUniv-au4-2500 (1) 0.552
autoUniv-au6-750 (1) 0.84933333333333
autoUniv-au7-1100 (1) 0.69636363636364
autoUniv-au7-700 (1) 0.64571428571429
autoUniv-au7-500 (1) 0.628
autoUniv-au6-1000 (1) 0.85
abalone (3) 0.42542494613359
bank-marketing (2) 0.14333112143331