Measure

CfsSubsetEval_kNN1NKappa

Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk -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) 0.028216870435512
qqdefects_numeric (1) -1
gina_prior2 (1) 0.87237995539146
ar1 (1) -0.027799227799229
analcatdata_challenger (2) 0
datatrieve (1) 0.13122721749696
puma32H (1) -1
kc1-top5 (1) 0.15643180349063
sylva_prior (1) 0.92128638724344
nasa_numeric (1) -1
mw1 (1) 0.14064697609001
mc1 (1) 0.19827221140002
ar6 (1) 0.085697042848521
glass (2) 0.21929468990677
mfeat-pixel (2) 0.90168539325843
soybean (2) 0.81701695228417
ar5 (1) 0.45454545454545
FacultySalaries (1) -1
Brainsize (1) -1
analcatdata_germangss (2) 0.60689931809065
kdd_ipums_la_99-small (1) 0.11542959809436
dermatology (2) 0.98706987917756
primary-tumor (2) 0.33476531424025
white-clover (1) -0.050514958312899
kdd_synthetic_control (1) 0.94489795918367
bridges (5) 0.52035861038476
vowel (3) 0.80286738351255
pc2 (1) 0
white-clover (2) 0.19310344827586
ar3 (1) -0.13445378151261
jEdit_4.0_4.2 (1) 0.36292693356139
cm1_req (1) -0.048045219029675
bridges (2) 0.47361477572559
postoperative-patient-data (1) 0
trains (1) 0.2
BNG(anneal,nominal,1000000) (1) 0.72350089265012
BNG(anneal.ORIG,nominal,1000000) (1) 0.59520544376156
BNG(kr-vs-kp) (1) 0.83680434523678
BNG(letter,nominal,1000000) (1) 0.51007100740943
BNG(autos,nominal,1000000) (1) 0.64140292214762
BNG(lymph,nominal,1000000) (1) 0.79755442670353
BNG(mfeat-fourier,nominal,1000000) (1) 0.78528071425381
sonar (1) 0.25769373377827
cylinder-bands (1) 0
nursery (1) 0.93497936254841
BNG(labor,nominal,1000000) (1) 0.87703507373492
BNG(breast-cancer,nominal,1000000) (1) 0.40818202239103
ionosphere (1) 0.78347485303723
lymph (1) 0.54744015376551
vowel (1) 0.66444444444444
colic (1) 0.61287128712871
autoUniv-au1-1000 (1) 0.13520395041407
autoUniv-au4-2500 (1) 0.15101776219735
autoUniv-au6-750 (1) 0.0077881831650198
autoUniv-au7-1100 (1) 0.079384066894182
autoUniv-au7-700 (1) 0.12641849937295
autoUniv-au7-500 (1) 0.077584170444447
autoUniv-au6-1000 (1) 0.016844081807432
abalone (3) 0.33711883041447
bank-marketing (2) 0.29140507464769