Measure

kNN1NKappa

Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk

Value per dataset

BNG(pendigits,nominal,1000000) (1) 0.9216586660875
BNG(cylinder-bands,nominal,1000000) (1) 0.53033601545805
BNG(dermatology,nominal,1000000) (1) 0.97566175374833
BNG(segment) (1) 0.85394444339634
mfeat-fourier (1) 0.765
breast-w (1) 0.90444466721955
mfeat-karhunen (1) 0.94444444444444
bridges (1) 0.43649373881932
bridges (2) 0.48071216617211
mfeat-pixel (1) 0.94722222222222
BNG(anneal.ORIG,nominal,1000000) (1) 0.68748917212007
BNG(kr-vs-kp) (1) 0.9062890614195
BNG(labor,nominal,1000000) (1) 0.91703200476905
BNG(letter,nominal,1000000) (1) 0.57426879161198
BNG(autos,nominal,1000000) (1) 0.72785981095334
BNG(lymph,nominal,1000000) (1) 0.83382185059459
BNG(breast-cancer,nominal,1000000) (1) 0.40423663835135
BNG(mfeat-fourier,nominal,1000000) (1) 0.77109334120057
heart-h (1) 0.54372567374489
trains (1) 0
heart-statlog (1) 0.45567522783761
vote (1) 0.8604612576738
hypothyroid (1) 0.33997872128793
vowel (1) 0.91444444444444
waveform-5000 (1) 0.60579664927152
zoo (1) 0.90843155031732
BNG(anneal,nominal,1000000) (1) 0.87512104706215
audiology (1) 0.68582748314451
autos (1) 0.66632884957926
BNG(mfeat-karhunen,nominal,1000000) (1) 0.88028969103595
BNG(bridges_version1,nominal,1000000) (1) 0.669995581591
BNG(bridges_version2,nominal,1000000) (1) 0.68517060543154
BNG(mfeat-zernike,nominal,1000000) (1) 0.75674663789439
BNG(cmc,nominal,55296) (1) 0.23184024423191
BNG(mushroom) (1) 0.97724958471296
postoperative-patient-data (1) -0.066666666666666
dermatology (1) 0.9146892918745
segment (1) 0.94343434343434
ecoli (1) 0.74884507456468
sonar (1) 0.66126930951052
soybean (1) 0.87134478138738
haberman (1) 0.086021505376344
hayes-roth_test (1) -0.17530864197531
hayes-roth_train (1) 0.48628835188705
tae (1) 0.36366629354053
heart-c (1) 0.55235827214394
colic (1) 0.57493670886076
nursery (1) 0.94514429260808
colic (2) 0.54994850669413
page-blocks (1) 0.75846634134314
car (1) 0.7503139820421
mfeat-zernike (1) 0.77055555555556
BNG(vehicle,nominal,1000000) (1) 0.59962735291287
BNG(hepatitis,nominal,1000000) (1) 0.77946625489721
BNG(vote) (1) 0.93527237708509
BNG(hypothyroid,nominal,1000000) (1) 0.14763369814291
BNG(vowel,nominal,1000000) (1) 0.73203059735898
BNG(ionosphere) (1) 0.92077133929172
BNG(waveform-5000,nominal,1000000) (1) 0.62296667059387
BNG(zoo,nominal,1000000) (1) 0.93650693597494
CovPokElec (1) 0.66160002524443
covertype (3) 0.8924512024869
BNG(sick,nominal,1000000) (1) 0.2058263753419
BNG(sonar,nominal,1000000) (1) 0.72214061204814
BNG(soybean) (1) 0.92823595087228
BNG(spambase) (1) 0.19476473872181
BNG(heart-c,nominal,1000000) (1) 0.75135383908326
BNG(tic-tac-toe) (1) 0.49811577192465
BNG(heart-h,nominal,1000000) (1) 0.72076327650198
BNG(trains) (1) 0.89745026706325
BNG(heart-statlog,nominal,1000000) (1) 0.77423150969021
primary-tumor (1) 0.32294054564595
shuttle-landing-control (1) -0.25
solar-flare (1) -0.0054474708171187
solar-flare (2) -0.004626456477037
spect_test (1) 0.29884738230801
spect_train (1) 0.275
spectf_test (1) 0.24181542241815
spectf_train (1) 0.35
yeast (1) 0.35790931118034
satimage (1) 0.86738379488485
abalone (1) 0.10670901007122
kropt (1) 0.62115969873591
braziltourism (1) 0.11143995088393
mbagrade (1)
cleveland (1)
auto_price (1)
autoMpg (1)
delta_elevators (1)
pbc (1)
SEA(50) (1) 0.73095475305008
lung-cancer (1) 0.12265512265512
molecular-biology_promoters (1) 0.67924528301887
monks-problems-1_test (1) 0.75925925925926
monks-problems-1_train (1) 0.45161290322581
monks-problems-2_test (1) -0.11703864997278
monks-problems-2_train (1) -0.061372128150091
monks-problems-3_test (1) 0.94444444444444
monks-problems-3_train (1) 0.5722761596548
Hyperplane_10_1E-3 (1) 0.22141200111182
Hyperplane_10_1E-4 (1) 0.63502202641565
LED(50000) (1) 0.54259848027077
RandomRBF_0_0 (1) 0.89250870928152
RandomRBF_10_1E-3 (1) 0.82167346223547
RandomRBF_10_1E-4 (1) 0.85290932730442
RandomRBF_50_1E-3 (1) 0.44622101438201
RandomRBF_50_1E-4 (1) 0.61581051757846
pol (1)
cholesterol (1)
sleep (1)
autoPrice (1)
detroit (1)
cloud (1)
longley (1)
diabetes_numeric (1)
pharynx (1)
baskball (1)
elevators (1)
pyrim (1)
house_8L (1)
BNG(waveform-5000) (1) 0.68835811327854
BNG(zoo) (1) 0.9272173668065
20_newsgroups.drift (1)
meta_all.arff (1) 0.23849844764324
meta_batchincremental.arff (1) 0.092372556535071
meta_instanceincremental.arff (1) 0.63
meta_stream_intervals.arff (1) 0.94651597167412
BNG(pendigits) (1) 0.88584966068022
BNG(cylinder-bands) (1) 0.51225037115762
BNG(dermatology) (1) 0.97017451438587
BNG(sonar) (1) 0.51719839195041
BNG(glass) (1) 0.47458005518839
BNG(heart-c) (1) 0.70340241738246
BNG(heart-statlog) (1) 0.70098257093647
BNG(vehicle) (1) 0.51333463989027
BNG(hepatitis) (1) 0.7022821412615
BNG(vowel) (1) 0.66628087559035
scene (1) 0.74459481740215
spectrometer (1) 0.33144976955072
thyroid_sick (1) 0.61537854287767
us_crime (1)
bridges (3) 0.49119489422054
bridges (4) 0.47881355932203
hayes-roth (1) 0.40044458558272
BNG(breast-w) (1) 0.9479181069377
BNG(cmc) (1) 0.18486530131893
BNG(colic) (1) 0.68633563942708
BNG(credit-a) (1) 0.68421830038739
BNG(page-blocks) (1) 0.39672420034801
Australian (1) 0.64485337280825
satellite_image (1)
coil2000 (1)
libras_move (1)
isolet (1) 0.84994233772427
BNG(anneal) (1) 0.88266128876229
BNG(anneal.ORIG) (2) 0.66627018434479
BNG(letter) (2) 0.54297264234241
BNG(autos) (1) 0.50816429488053
BNG(lymph) (1) 0.80962550873376
echoMonths (1)
breastTumor (1)
puma8NH (1)
gascons (1)
cpu_small (1)
elusage (1)
fishcatch (1)
ozone_level (1)
ipums_la_98-small (1) 0.53690418402588
ipums_la_97-small (1) 0.19321924907775
tr45.wc (1) 0.27394988300021
tr11.wc (1) 0.20831612281426
tr23.wc (1) 0.1660454490802
re0.wc (1) 0.46269937105745
oh0.wc (1) 0.064537407536572
la2s.wc (1) 0.22982287851151
re1.wc (1) 0.32966762145674
la1s.wc (1) 0.23262303426134
tr12.wc (1) 0.20436018482576
wap.wc (1) 0.2589535381102
yokohoma1 (1)
mtp (1)
qsbr_y2 (1)
krystek (1)
depreux (1)
pdgfr (1)
carbolenes (1)
garrat2 (1)
siddiqi (1)
thompson (1)
yprop_4_1 (1)
tsutumi (1)
strupcz (1)
cristalli (1)
internet_usage (1) 0.1997753229939
SyskillWebert-BioMedical (1)
JapaneseVowels (1) 0.9791905174141
SyskillWebert-Sheep (1)
synthetic_control (1) 0.958
ipums_la_99-small (1) 0.53779243068426
SyskillWebert-Bands (1)
selwood (1)
pah (1)
penning (1)
qsfsr1 (1)
qsprcmpx (1)
mtp2 (1)
squash-unstored (1) 0.32291666666667
white-clover (1) 0.081805359661495
sponge (1) 0.51959544879899
aids (1) -0.32
webdata_wXa (1) 0.39066199044005
chembl1075021test1 (1)
monks-problems-3 (1) 0.91691986698833
SPECT (1) 0.36534572675347
grub-damage (1) 0.090261553364864
pasture (1) 0.625
squash-stored (1) 0.28809523809524
qsartox (1)
benzo32 (1)
uehling (1)
garrat (1)
doherty (1)
chang (1)
qsabr2 (1)
analcatdata_broadwaymult (1) 0.036202643315744
cars (1) 0.4808302696778
analcatdata_authorship (1) 0.98269899752931
analcatdata_reviewer (1) 0.33511733223549
cjs (1) 0.071434581977792
analcatdata_marketing (1) 0.098948157267885
analcatdata_bankruptcy (1) 0.76
collins (1) 1
analcatdata_cyyoung9302 (1) -0.099914602903502
prnn_viruses (1) 0.90408805031447
analcatdata_creditscore (1) 0.32650862068966
backache (1) 0.2005076142132
confidence (1) 0.76666666666667
analcatdata_dmft (1) 0.034568250643874
profb (1) -0.074626865671642
qsabr1 (1)
qsbr_rw1 (1)
analcatdata_boxing2 (1) 0.31974347228585
prnn_crabs (1) 0.94
analcatdata_homerun (1) -0.1213158678178
analcatdata_gsssexsurvey (1)
nflpass (1)
places (1)
analcatdata_vehicle (1)
arsenic-female-lung (1)
djdc0093 (1)
humandevel (1)
analcatdata_uktrainacc (1)
ada_agnostic (1) 0.38761465082845
pc4 (1) 0.31895436040283
pc3 (1) 0.25757770674794
sylva_agnostic (1) 0.78651914116023
gina_agnostic (1) 0.62141353347369