Measure

NaiveBayesErrRate

Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Value per dataset

cleveland (1)
kc2 (1) 0.17049808429119
mushroom (1) 0.048990645002462
steel-plates-fault (1) 0.33178773827924
satimage (1) 0.20326594090202
mbagrade (1)
gina_agnostic (1) 0.23269896193772
splice (1) 0.047021943573668
soybean (1) 0.089311859443631
profb (1) 0.33035714285714
Click_prediction_small (5) 0.18303794933413
LED-display-domain-7digit (1) 0.296
blood-transfusion-service-center (1) 0.24465240641711
pbc (1)
micro-mass (2) 0.16637478108581
cmc (1) 0.50644942294637
isolet (1) 0.16916762857509
jm1 (1) 0.19660082682591
monks-problems-2 (1) 0.4026622296173
scene (1) 0.3174075612796
texture (1) 0.22618181818182
spambase (1) 0.20234731580091
wilt (1) 0.10684025625129
tic-tac-toe (1) 0.28705636743215
cloud (1)
musk (1) 0.15110639587754
abalone (1) 0.76993057218099
detroit (1)
collins (1) 0.36
climate-model-simulation-crashes (1) 0.11296296296296
GesturePhaseSegmentationProcessed (1) 0.5825990073939
ilpd (1) 0.43567753001715
MiceProtein (1) 0.14444444444444
monks-problems-3 (1) 0.036101083032491
mfeat-morphological (1) 0.2995
hill-valley (1) 0.48597359735974
ada_agnostic (1) 0.17645769399386
UNIX_user_data (1)
Amazon_employee_access (1) 0.11034819494034
cnae-9 (1) 0.083333333333333
mfeat-factors (1) 0.0765
credit-g (1) 0.248
semeion (1) 0.14563716258632
vehicle (1) 0.54491725768322
quake (1)
mfeat-karhunen (1) 0.068
wall-robot-navigation (1) 0.4741568914956
MagicTelescope (1) 0.27323869610936
car (1) 0.15219907407407
vowel (2) 0.41616161616162
kc1 (1) 0.17449027975344
one-hundred-plants-texture (1) 0.32520325203252
artificial-characters (1) 0.7031708749266
pharynx (1)
analcatdata_dmft (1) 0.76787954830615
auto_price (1)
cpu_act (1)
kin8nm (1)
cylinder-bands (2) 0.32962962962963
PhishingWebsites (1) 0.07209407507915
wisconsin (1)
gas-drift (1) 0.42796549245147
optdigits (1) 0.090569395017794
banknote-authentication (1) 0.15889212827988
one-hundred-plants-shape (1) 0.48125
first-order-theorem-proving (1) 0.83458646616541
balance-scale (1) 0.104
phoneme (1) 0.24037749814952
har (1) 0.25138362947859
nomao (1) 0.16494994922385
mfeat-zernike (1) 0.2705
iris (2) 0.033333333333333
letter (1) 0.36025
lowbwt (1)
ozone-level-8hr (1) 0.30386740331492
wdbc (1) 0.072056239015817
electricity (1) 0.2705905720339
autoMpg (1)
cjs (3) 0.24785407725322
dresses-sales (2) 0.396
bank-marketing (1) 0.12174028444405
sick (1) 0.07423117709438
pendigits (1) 0.14255822416303
pc3 (1) 0.48240563019834
pc4 (1) 0.16872427983539
eeg-eye-state (1) 0.46348464619493
autoPrice (1)
bolts (1)
madelon (1) 0.40961538461538
mozilla4 (1) 0.31457060147958
monks-problems-1 (1) 0.25359712230216
qsar-biodeg (1) 0.24265402843602
segment (1) 0.1974025974026
cardiotocography (1) 0.035747883349012
JapaneseVowels (1) 0.14255596827628
iris-challenge (1) 0.067226890756303
delta_elevators (1)
vineyard (1)
Bioresponse (1) 0.34150893095175
Australian (3) 0.27536231884058
diabetes (1) 0.24088541666667
cholesterol (1)
adult (2) 0.16713074812661
eucalyptus (1) 0.45108695652174
analcatdata_authorship (1) 0.014268727705113
tamilnadu-electricity (1) 0
one-hundred-plants-margin (1) 0.20875
diabetes_numeric (1)
fruitfly (1)
mfeat-fourier (1) 0.2465
fourclass_scale (1)
synthetic_control (1) 0.053333333333333
breast-w (1) 0.040057224606581
pol (1)
test-data123 (2)
myiris (5)
Diabetes(scikit-learn) (2)
Diabetes(scikit-learn) (3)
test-data123 (4)
myiris-test (1)
Diabetes(scikit-learn) (1)
sylva_agnostic (1) 0.02459187217784
test-data123 (5)
myyyiris (1)
irish (1) 0.02
sleep (1)
myiris (6)
myiris (12) 0.12
credit-a (1) 0.21594202898551
kr-vs-kp (1) 0.12108886107635
myiris (11) 0.12
test-data123 (1)
myiris (9)
myiris (4)
myiris (2)
test-data123 (3)
Iris-Dataset (2)
myiris (10)
mfeat-pixel (1) 0.07
myiris (3)
pc1 (1) 0.11000901713255
waveform-5000 (1) 0.1994
triazines (1)
myiris (7)
myiris (8)
Iris-Dataset (1)
myiris (1)
TEST2261852e3d-pandas_testing_dataset (1)
TESTc14c6370e8-XOR (1)
anneal (5) 0.36025
TEST5af76458e6-UploadTestWithURL (1)
TEST97ef394253-ModifiedWeather (1)
TEST1ce13b6c02-UploadTestWithURL (1)
TEST402d93b559-pandas_testing_dataset (1)
TESTb088e7889f-pandas_testing_dataset (1)
TEST83942047b6-UploadTestWithURL (1)
TESTf0b8ad418f-UploadTestWithURL (1)
TEST44f3e1fe41-UploadTestWithURL (1)
TESTfb791ba8d9-UploadTestWithURL (1)
TEST5ca010b99d-UploadTestWithURL (1)
TEST931d5e89f5-UploadTestWithURL (1)
TEST9c89a3a42e-UploadTestWithURL (1)
TESTf359fc591f-UploadTestWithURL (1)
TESTe6d18f0835-UploadTestWithURL (1)
TEST2a2232e439-UploadTestWithURL (1)
TESTbb26aa33fb-UploadTestWithURL (1)
anneal (23) 0.24610244988864
anneal (22) 0.24610244988864
anneal (25) 0.24610244988864
anneal (24) 0.24610244988864
anneal (18) 0.24610244988864
anneal (21) 0.24610244988864
anneal (19) 0.24610244988864
anneal (20) 0.24610244988864
TESTc5e5a19c37-UploadTestWithURL (1)
iris (1) 0.033333333333333
longley (1)
TESTf7925e65f5-UploadTestWithURL (1)
anneal (1) 0.24610244988864
anneal (27) 0.24610244988864
TESTf02cb6d081-UploadTestWithURL (1)
anneal (26) 0.24610244988864