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oh0.wc

oh0.wc

active Sparse_ARFF Publicly available Visibility: public Uploaded 28-09-2014 by Joaquin Vanschoren
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3183 features

CLASS_LABEL (target)nominal10 unique values
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departnumeric5 unique values
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goutnumeric5 unique values
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replacnumeric10 unique values
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fractionnumeric7 unique values
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combinnumeric5 unique values
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wishenumeric3 unique values
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massnumeric3 unique values
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antidiuretnumeric3 unique values
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benignnumeric4 unique values
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attitudnumeric4 unique values
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pigmentnumeric6 unique values
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everydainumeric2 unique values
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intraperitonnumeric3 unique values
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molarnumeric3 unique values
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rehabilitnumeric2 unique values
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bianumeric3 unique values
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literaturnumeric3 unique values
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exclusionnumeric2 unique values
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curvenumeric3 unique values
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occludnumeric3 unique values
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perceivnumeric2 unique values
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ptnumeric5 unique values
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evidencnumeric3 unique values
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likewisnumeric2 unique values
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correctlinumeric2 unique values
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parkinsonnumeric3 unique values
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monohydrnumeric3 unique values
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vitaminnumeric4 unique values
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demonstrnumeric3 unique values
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conduitnumeric4 unique values
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checknumeric5 unique values
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retrospectnumeric3 unique values
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protectnumeric5 unique values
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immunocytochemnumeric2 unique values
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poornumeric4 unique values
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immunohistochemnumeric3 unique values
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poorernumeric3 unique values
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streptococcunumeric2 unique values
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simultannumeric4 unique values
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0numeric21 unique values
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conflictnumeric3 unique values
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ideanumeric2 unique values
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electroretinographinumeric3 unique values
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sorenumeric2 unique values
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bacterinumeric3 unique values
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nonsteroidnumeric2 unique values
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dehiscnumeric3 unique values
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assignnumeric3 unique values
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epidemnumeric4 unique values
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etiologinumeric3 unique values
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immunnumeric4 unique values
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inferiornumeric3 unique values
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actualnumeric3 unique values
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genotypnumeric3 unique values
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cerebrnumeric8 unique values
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placemnumeric3 unique values
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ameliornumeric2 unique values
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overcomnumeric2 unique values
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persistnumeric5 unique values
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knowledgnumeric4 unique values
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anesthetnumeric3 unique values
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facultinumeric7 unique values
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pathophysiologinumeric2 unique values
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ignornumeric2 unique values
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britainnumeric3 unique values
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unexpectedlinumeric3 unique values
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puncturnumeric3 unique values
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sharnumeric3 unique values
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histolognumeric4 unique values
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indomethacinnumeric5 unique values
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pronouncnumeric2 unique values
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alzheimnumeric4 unique values
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cardioprotectnumeric4 unique values
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reconstructnumeric4 unique values
0 missing
cannulnumeric3 unique values
0 missing
royalnumeric3 unique values
0 missing
adolescnumeric5 unique values
0 missing
cyclooxygenasnumeric4 unique values
0 missing
mvrnumeric5 unique values
0 missing
nnumeric3 unique values
0 missing
seventinumeric2 unique values
0 missing
transvalvularnumeric2 unique values
0 missing
bronchialnumeric2 unique values
0 missing
developnumeric5 unique values
0 missing
cmnumeric4 unique values
0 missing
adequacinumeric2 unique values
0 missing
argumnumeric3 unique values
0 missing
experiencnumeric3 unique values
0 missing
glutaraldehydnumeric3 unique values
0 missing
sightnumeric2 unique values
0 missing
firmnumeric3 unique values
0 missing
antagonistnumeric5 unique values
0 missing
onumeric3 unique values
0 missing
procedurnumeric6 unique values
0 missing
adoptnumeric2 unique values
0 missing
bandnumeric2 unique values
0 missing
plunumeric5 unique values
0 missing
conumeric3 unique values
0 missing
doubtnumeric2 unique values
0 missing
calciumnumeric9 unique values
0 missing
monoclonnumeric4 unique values
0 missing
seriousnumeric3 unique values
0 missing
safenumeric2 unique values
0 missing
admitnumeric5 unique values
0 missing
nutrientnumeric3 unique values
0 missing
junenumeric3 unique values
0 missing
discrepnumeric3 unique values
0 missing
supraventricularnumeric2 unique values
0 missing
conclusnumeric2 unique values
0 missing
vectornumeric3 unique values
0 missing
cpnumeric3 unique values
0 missing
counsellnumeric4 unique values
0 missing
effusionnumeric4 unique values
0 missing
povertinumeric3 unique values
0 missing
degreenumeric5 unique values
0 missing
endoscopinumeric3 unique values
0 missing
slowernumeric2 unique values
0 missing
concentrnumeric8 unique values
0 missing
varinumeric3 unique values
0 missing
traumanumeric6 unique values
0 missing
broughtnumeric2 unique values
0 missing
percentagnumeric4 unique values
0 missing
miscellannumeric3 unique values
0 missing
glycosylnumeric3 unique values
0 missing
stnumeric7 unique values
0 missing
specifinumeric2 unique values
0 missing
uncertainnumeric2 unique values
0 missing
approprinumeric4 unique values
0 missing
professionnumeric4 unique values
0 missing
anaesthetnumeric3 unique values
0 missing
fovealnumeric4 unique values
0 missing
depthnumeric4 unique values
0 missing
discretnumeric2 unique values
0 missing
angiotensinnumeric4 unique values
0 missing
wordnumeric2 unique values
0 missing
newbornnumeric3 unique values
0 missing
ctnumeric2 unique values
0 missing
discovnumeric2 unique values
0 missing
intravennumeric5 unique values
0 missing
polymorphnumeric4 unique values
0 missing
classifinumeric2 unique values
0 missing
northnumeric3 unique values
0 missing
methodnumeric5 unique values
0 missing
censunumeric2 unique values
0 missing
vnumeric6 unique values
0 missing
reactivnumeric4 unique values
0 missing
cerebellumnumeric3 unique values
0 missing
recentnumeric3 unique values
0 missing
impossnumeric2 unique values
0 missing
deficitnumeric3 unique values
0 missing
temperaturnumeric4 unique values
0 missing
afronumeric3 unique values
0 missing
makernumeric2 unique values
0 missing
usefulnumeric2 unique values
0 missing
additionnumeric5 unique values
0 missing
chancenumeric2 unique values
0 missing
abnormnumeric4 unique values
0 missing
metabolnumeric4 unique values
0 missing
blockadnumeric3 unique values
0 missing
modulnumeric5 unique values
0 missing
motilnumeric2 unique values
0 missing
presumnumeric3 unique values
0 missing
incnumeric3 unique values
0 missing
neuroretinnumeric2 unique values
0 missing
marchnumeric2 unique values
0 missing
implantnumeric5 unique values
0 missing
sixnumeric4 unique values
0 missing
differnumeric7 unique values
0 missing
federnumeric3 unique values
0 missing
mitochondrinumeric3 unique values
0 missing
managnumeric7 unique values
0 missing
promptlinumeric2 unique values
0 missing
unchangnumeric3 unique values
0 missing
excludnumeric2 unique values
0 missing
lysinumeric3 unique values
0 missing
impactnumeric4 unique values
0 missing
ricannumeric6 unique values
0 missing
dissectnumeric6 unique values
0 missing
cortexnumeric5 unique values
0 missing
valvenumeric18 unique values
0 missing
treatmentnumeric9 unique values
0 missing
fishnumeric4 unique values
0 missing
chosennumeric3 unique values
0 missing
oropharyngnumeric3 unique values
0 missing
understandnumeric3 unique values
0 missing
stimulinumeric3 unique values
0 missing
hivnumeric8 unique values
0 missing
diabetnumeric10 unique values
0 missing
thoracnumeric4 unique values
0 missing
columnnumeric3 unique values
0 missing
appraisnumeric4 unique values
0 missing
symptomnumeric7 unique values
0 missing
genenumeric6 unique values
0 missing
magnitudnumeric3 unique values
0 missing
plananumeric3 unique values
0 missing
returnnumeric4 unique values
0 missing
threatenumeric2 unique values
0 missing
heldnumeric3 unique values
0 missing
ejectnumeric7 unique values
0 missing
januarinumeric3 unique values
0 missing
exceenumeric2 unique values
0 missing
markernumeric5 unique values
0 missing
subglottnumeric4 unique values
0 missing
bringnumeric2 unique values
0 missing
reportnumeric7 unique values
0 missing
intactnumeric5 unique values
0 missing
trendnumeric5 unique values
0 missing
trinumeric3 unique values
0 missing
possiblinumeric3 unique values
0 missing
incidentnumeric2 unique values
0 missing
acetnumeric3 unique values
0 missing
inhalnumeric3 unique values
0 missing
inactnumeric3 unique values
0 missing
hemolysinumeric5 unique values
0 missing
marketnumeric2 unique values
0 missing
bmjnumeric2 unique values
0 missing
providnumeric4 unique values
0 missing
csfnumeric4 unique values
0 missing
advancnumeric5 unique values
0 missing
outbreaknumeric4 unique values
0 missing
planenumeric2 unique values
0 missing
represnumeric4 unique values
0 missing
groundnumeric2 unique values
0 missing
bovinnumeric6 unique values
0 missing
goatenumeric3 unique values
0 missing
exclusnumeric3 unique values
0 missing
pharmacistnumeric4 unique values
0 missing
confrontnumeric3 unique values
0 missing
angioplastinumeric4 unique values
0 missing
posenumeric2 unique values
0 missing
hyoidnumeric4 unique values
0 missing
blotnumeric2 unique values
0 missing
surveinumeric5 unique values
0 missing
chambernumeric4 unique values
0 missing
kidneinumeric4 unique values
0 missing
consumnumeric3 unique values
0 missing
singlenumeric3 unique values
0 missing
stimulunumeric4 unique values
0 missing
thomanumeric3 unique values
0 missing
fibrosinumeric3 unique values
0 missing
denumeric3 unique values
0 missing
appointnumeric3 unique values
0 missing
explicitlinumeric2 unique values
0 missing
palliatnumeric2 unique values
0 missing
orientnumeric3 unique values
0 missing
practicnumeric11 unique values
0 missing
respirnumeric2 unique values
0 missing
chromosomnumeric4 unique values
0 missing
feasiblnumeric2 unique values
0 missing
preservnumeric5 unique values
0 missing
cardioplegnumeric4 unique values
0 missing
supplinumeric3 unique values
0 missing
crisinumeric2 unique values
0 missing
dinumeric5 unique values
0 missing
eliminnumeric3 unique values
0 missing
escherichianumeric3 unique values
0 missing
pericardnumeric3 unique values
0 missing
dienumeric3 unique values
0 missing
commonnumeric5 unique values
0 missing
successnumeric4 unique values
0 missing
transaminasnumeric2 unique values
0 missing
outcomnumeric6 unique values
0 missing
helpnumeric3 unique values
0 missing
introductnumeric2 unique values
0 missing
cationnumeric3 unique values
0 missing
descriptnumeric3 unique values
0 missing
dlnumeric5 unique values
0 missing
decembnumeric4 unique values
0 missing
magnetnumeric3 unique values
0 missing
effectnumeric10 unique values
0 missing
analognumeric6 unique values
0 missing
nuclearnumeric4 unique values
0 missing
frequencnumeric4 unique values
0 missing
metabolitnumeric6 unique values
0 missing
detectnumeric6 unique values
0 missing
cancernumeric8 unique values
0 missing
predominnumeric2 unique values
0 missing
physiolognumeric3 unique values
0 missing
withholdnumeric3 unique values
0 missing
dmnumeric4 unique values
0 missing
centrenumeric4 unique values
0 missing
rainumeric4 unique values
0 missing
pancreatnumeric3 unique values
0 missing
sexualnumeric6 unique values
0 missing
aggressnumeric3 unique values
0 missing
mapnumeric6 unique values
0 missing
suctionnumeric2 unique values
0 missing
irradinumeric4 unique values
0 missing
advocnumeric2 unique values
0 missing
angiographnumeric4 unique values
0 missing
stainnumeric3 unique values
0 missing
regionnumeric6 unique values
0 missing
ligatnumeric3 unique values
0 missing
deltanumeric4 unique values
0 missing
discussnumeric5 unique values
0 missing
kdanumeric3 unique values
0 missing
coughnumeric4 unique values
0 missing
trentnumeric4 unique values
0 missing
worsennumeric3 unique values
0 missing
explainnumeric4 unique values
0 missing
participnumeric3 unique values
0 missing
obscurnumeric2 unique values
0 missing
lengthnumeric3 unique values
0 missing
medianumeric4 unique values
0 missing
phosphorunumeric2 unique values
0 missing
wavenumeric4 unique values
0 missing
txnumeric2 unique values
0 missing
revealnumeric3 unique values
0 missing
callnumeric2 unique values
0 missing
laryngoscopinumeric3 unique values
0 missing
parallelnumeric2 unique values
0 missing
hydrogennumeric2 unique values
0 missing
genernumeric3 unique values
0 missing
stimulatorinumeric3 unique values
0 missing
reviewnumeric4 unique values
0 missing
limbnumeric4 unique values
0 missing
mannernumeric2 unique values
0 missing
laryngectominumeric3 unique values
0 missing
donumeric2 unique values
0 missing
thromboembolinumeric2 unique values
0 missing
freedomnumeric5 unique values
0 missing
verifinumeric2 unique values
0 missing
layernumeric5 unique values
0 missing
preclinnumeric2 unique values
0 missing
somatnumeric2 unique values
0 missing
genetnumeric5 unique values
0 missing
philosophinumeric2 unique values
0 missing
bruchnumeric3 unique values
0 missing
carcinomanumeric7 unique values
0 missing
medicnumeric9 unique values
0 missing
disclosnumeric4 unique values
0 missing
drnumeric3 unique values
0 missing
aetiolognumeric2 unique values
0 missing
autonomnumeric3 unique values
0 missing
definnumeric4 unique values
0 missing
cricoarytenoidnumeric3 unique values
0 missing
treatablnumeric3 unique values
0 missing
workupnumeric3 unique values
0 missing
lipoproteinnumeric4 unique values
0 missing
treatenumeric5 unique values
0 missing
scornumeric3 unique values
0 missing
outlinnumeric2 unique values
0 missing
opportunnumeric3 unique values
0 missing
histologinumeric2 unique values
0 missing
uveitinumeric2 unique values
0 missing
possiblnumeric3 unique values
0 missing
unilaternumeric3 unique values
0 missing
introducnumeric3 unique values
0 missing
haradanumeric4 unique values
0 missing
highlightnumeric2 unique values
0 missing
teflonnumeric2 unique values
0 missing
abilnumeric4 unique values
0 missing
deathnumeric10 unique values
0 missing
closurnumeric4 unique values
0 missing
voluntarinumeric3 unique values
0 missing
schoolnumeric7 unique values
0 missing
refernumeric6 unique values
0 missing
abortnumeric6 unique values
0 missing
uknumeric3 unique values
0 missing
postnumeric5 unique values
0 missing
effluxnumeric3 unique values
0 missing
excisionnumeric4 unique values
0 missing
endoscopnumeric4 unique values
0 missing
maturnumeric3 unique values
0 missing
echocardiogramnumeric3 unique values
0 missing
neuropatholognumeric3 unique values
0 missing
freshnumeric3 unique values
0 missing
oilnumeric7 unique values
0 missing
cardiopulmonarinumeric5 unique values
0 missing
predominantlinumeric3 unique values
0 missing
fewernumeric3 unique values
0 missing
subcutannumeric2 unique values
0 missing
variatnumeric5 unique values
0 missing
choicenumeric5 unique values
0 missing
affinnumeric7 unique values
0 missing
serialnumeric3 unique values
0 missing
antibodinumeric7 unique values
0 missing
optionnumeric3 unique values
0 missing
commissurotominumeric3 unique values
0 missing
mentalnumeric3 unique values
0 missing
electrocardiogramnumeric3 unique values
0 missing
littlenumeric3 unique values
0 missing
extractnumeric3 unique values
0 missing
englandnumeric5 unique values
0 missing
usnumeric4 unique values
0 missing
affectnumeric5 unique values
0 missing
prematurnumeric4 unique values
0 missing
reductnumeric7 unique values
0 missing
intimnumeric3 unique values
0 missing
frequentnumeric5 unique values
0 missing
recovnumeric4 unique values
0 missing
possessnumeric2 unique values
0 missing
aorticnumeric12 unique values
0 missing
equilibriumnumeric3 unique values
0 missing
exceednumeric4 unique values
0 missing
establishnumeric3 unique values
0 missing
dynumeric4 unique values
0 missing
detachnumeric6 unique values
0 missing
glutamnumeric4 unique values
0 missing
lipidnumeric6 unique values
0 missing
inhibitnumeric7 unique values
0 missing
translocnumeric2 unique values
0 missing
porcinnumeric6 unique values
0 missing
ineffectnumeric2 unique values
0 missing
undergonumeric3 unique values
0 missing
suspectnumeric4 unique values
0 missing
evidnumeric4 unique values
0 missing
routenumeric4 unique values
0 missing
policinumeric8 unique values
0 missing
dimensnumeric4 unique values
0 missing
malformnumeric3 unique values
0 missing
rawnumeric2 unique values
0 missing
contemporarinumeric2 unique values
0 missing
regurgitnumeric8 unique values
0 missing
complaintnumeric2 unique values
0 missing
maintennumeric2 unique values
0 missing
barriernumeric3 unique values
0 missing
scatternumeric2 unique values
0 missing
exposnumeric4 unique values
0 missing
linenumeric3 unique values
0 missing
strainnumeric4 unique values
0 missing
calcifnumeric5 unique values
0 missing
competitnumeric4 unique values
0 missing
myoglobinnumeric4 unique values
0 missing
quantitinumeric2 unique values
0 missing
keinumeric2 unique values
0 missing
specialistnumeric4 unique values
0 missing
subretinnumeric7 unique values
0 missing

107 properties

1003
Number of instances (rows) of the dataset.
3183
Number of attributes (columns) of the dataset.
10
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
3182
Number of numeric attributes.
1
Number of nominal attributes.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
0.26
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.78
Kappa coefficient 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
0.39
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.89
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
10
Average number of distinct values among the attributes of the nominal type.
10.73
First quartile of skewness among attributes of the numeric type.
0.7
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.93
Area Under the ROC Curve 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
0
Standard deviation of the number of distinct values among attributes of the nominal type.
0.22
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
15.02
Mean skewness among attributes of the numeric type.
0.09
First quartile of standard deviation of attributes of the numeric type.
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.19
Error rate 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
0.55
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.75
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
0.21
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
0.26
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.78
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
0.81
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
19.34
Percentage of instances belonging to the most frequent class.
Minimal entropy among attributes.
246.99
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.7
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
3.15
Entropy of the target attribute values.
0.06
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
194
Number of instances belonging to the most frequent class.
3.56
Minimum kurtosis among attributes of the numeric type.
0.01
Second quartile (Median) of means among attributes of the numeric type.
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.66
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum entropy among attributes.
0
Minimum of means among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.26
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.65
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
943.43
Maximum kurtosis among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
15.39
Second quartile (Median) of skewness among attributes of the numeric type.
0.7
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.21
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
2.09
Maximum of means among attributes of the numeric type.
10
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of binary attributes.
0.14
Second quartile (Median) of standard deviation of attributes of the numeric type.
0.69
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
3.17
Number of attributes divided by the number of instances.
Maximum mutual information between the nominal attributes and the target attribute.
1.82
Minimum skewness among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
0.54
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
10
The maximum number of distinct values among attributes of the nominal type.
0.05
Minimum standard deviation of attributes of the numeric type.
0
Percentage of missing values.
375.73
Third quartile of kurtosis among attributes of the numeric type.
0.34
Average class difference between consecutive instances.
0.39
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.89
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
30.36
Maximum skewness among attributes of the numeric type.
5.08
Percentage of instances belonging to the least frequent class.
99.97
Percentage of numeric attributes.
0.03
Third quartile of means among attributes of the numeric type.
0.93
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.69
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.22
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
3.11
Maximum standard deviation of attributes of the numeric type.
51
Number of instances belonging to the least frequent class.
0.03
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
0.19
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.54
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.75
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Average entropy of the attributes.
0.94
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of entropy among attributes.
18.23
Third quartile of skewness among attributes of the numeric type.
0.78
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.39
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.89
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
279.43
Mean kurtosis among attributes of the numeric type.
0.25
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
129.27
First quartile of kurtosis among attributes of the numeric type.
0.26
Third quartile of standard deviation of attributes of the numeric type.
0.93
Area Under the ROC Curve 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
0.69
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.22
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.03
Mean of means among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
0.72
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.01
First quartile of means among attributes of the numeric type.
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.19
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
0.54
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.75
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001

51 tasks

295 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL
93 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: class
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: class
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
40 runs - estimation_procedure: 10-fold Learning Curve - target_feature: CLASS_LABEL
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
0 runs - target_feature: CLASS_LABEL
Define a new task