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wap.wc

wap.wc

active Sparse_ARFF Publicly available Visibility: public Uploaded 28-09-2014 by Joaquin Vanschoren
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8461 features

CLASS_LABEL (target)nominal20 unique values
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daniellnumeric4 unique values
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strictnumeric3 unique values
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mnumeric3 unique values
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modenumeric3 unique values
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wackinumeric4 unique values
0 missing
intensifinumeric2 unique values
0 missing
turnernumeric5 unique values
0 missing
thumbnumeric2 unique values
0 missing
penaltinumeric2 unique values
0 missing
inflammatorinumeric3 unique values
0 missing
pushenumeric4 unique values
0 missing
shakenumeric3 unique values
0 missing
kuceranumeric3 unique values
0 missing
excusnumeric2 unique values
0 missing
hontznumeric3 unique values
0 missing
connerinumeric2 unique values
0 missing
furornumeric2 unique values
0 missing
announcnumeric6 unique values
0 missing
diuretnumeric3 unique values
0 missing
brothernumeric5 unique values
0 missing
lauranumeric4 unique values
0 missing
convincinglinumeric2 unique values
0 missing
stephannumeric3 unique values
0 missing
antigennumeric2 unique values
0 missing
submitnumeric3 unique values
0 missing
trademarknumeric5 unique values
0 missing
kitchennumeric2 unique values
0 missing
barneinumeric2 unique values
0 missing
pathetnumeric2 unique values
0 missing
breathnachnumeric2 unique values
0 missing
foughtnumeric3 unique values
0 missing
michellnumeric3 unique values
0 missing
patronnumeric2 unique values
0 missing
superbnumeric2 unique values
0 missing
ickenumeric5 unique values
0 missing
preemnumeric4 unique values
0 missing
renaissnumeric3 unique values
0 missing
philadelphianumeric4 unique values
0 missing
reportedlinumeric4 unique values
0 missing
kicknumeric4 unique values
0 missing
pathogennumeric3 unique values
0 missing
stylenumeric3 unique values
0 missing
computernumeric3 unique values
0 missing
notionnumeric3 unique values
0 missing
mikaelnumeric2 unique values
0 missing
coolnumeric4 unique values
0 missing
injurnumeric4 unique values
0 missing
bagnumeric5 unique values
0 missing
midwainumeric2 unique values
0 missing
fendernumeric3 unique values
0 missing
langnumeric4 unique values
0 missing
noticnumeric3 unique values
0 missing
nflnumeric4 unique values
0 missing
breathtaknumeric3 unique values
0 missing
thinknumeric5 unique values
0 missing
stellarnumeric2 unique values
0 missing
rebuildnumeric3 unique values
0 missing
basenumeric4 unique values
0 missing
bracenumeric4 unique values
0 missing
platinumnumeric3 unique values
0 missing
slumpnumeric3 unique values
0 missing
stockholdnumeric3 unique values
0 missing
flunumeric6 unique values
0 missing
therapistnumeric3 unique values
0 missing
gtenumeric4 unique values
0 missing
signaturnumeric2 unique values
0 missing
direnumeric2 unique values
0 missing
mcbealnumeric3 unique values
0 missing
rockinumeric3 unique values
0 missing
vergenumeric2 unique values
0 missing
luxurinumeric2 unique values
0 missing
taxinumeric3 unique values
0 missing
cantonnumeric5 unique values
0 missing
telethonnumeric3 unique values
0 missing
chemokinnumeric3 unique values
0 missing
deplornumeric2 unique values
0 missing
certifinumeric5 unique values
0 missing
bsenumeric2 unique values
0 missing
dependnumeric3 unique values
0 missing
tomorrownumeric2 unique values
0 missing
awashnumeric3 unique values
0 missing
songstressnumeric2 unique values
0 missing
medvedevnumeric2 unique values
0 missing
herculnumeric2 unique values
0 missing
disneinumeric9 unique values
0 missing
harbingnumeric2 unique values
0 missing
jovinumeric5 unique values
0 missing
hournumeric7 unique values
0 missing
caughtnumeric4 unique values
0 missing
bandnumeric8 unique values
0 missing
gramnumeric4 unique values
0 missing
racnumeric3 unique values
0 missing
mccainnumeric6 unique values
0 missing
deadlinnumeric4 unique values
0 missing
depressnumeric9 unique values
0 missing
seriounumeric5 unique values
0 missing
rulnumeric3 unique values
0 missing
weeklinumeric6 unique values
0 missing
antitrustnumeric5 unique values
0 missing
clognumeric3 unique values
0 missing
placnumeric6 unique values
0 missing
hungrinumeric2 unique values
0 missing
fearnumeric4 unique values
0 missing
ovariannumeric3 unique values
0 missing
spinumeric3 unique values
0 missing
dominiqunumeric2 unique values
0 missing
shelternumeric4 unique values
0 missing
hungernumeric2 unique values
0 missing
donnanumeric2 unique values
0 missing
householdnumeric10 unique values
0 missing
linsonnumeric3 unique values
0 missing
deverauxnumeric2 unique values
0 missing
britainnumeric4 unique values
0 missing
colemannumeric2 unique values
0 missing
amountnumeric4 unique values
0 missing
msnbcnumeric3 unique values
0 missing
heinekennumeric4 unique values
0 missing
villainnumeric3 unique values
0 missing
newtonnumeric3 unique values
0 missing
argentinnumeric5 unique values
0 missing
slavenumeric2 unique values
0 missing
polettinumeric2 unique values
0 missing
dairinumeric3 unique values
0 missing
civilnumeric3 unique values
0 missing
servernumeric6 unique values
0 missing
brendanumeric2 unique values
0 missing
globalnumeric6 unique values
0 missing
paranoidnumeric2 unique values
0 missing
intricnumeric2 unique values
0 missing
runnumeric8 unique values
0 missing
sofanumeric2 unique values
0 missing
bosnianumeric4 unique values
0 missing
kuertennumeric4 unique values
0 missing
retirnumeric6 unique values
0 missing
ashleinumeric4 unique values
0 missing
blazernumeric4 unique values
0 missing
boxenumeric2 unique values
0 missing
involvnumeric5 unique values
0 missing
spectaclnumeric2 unique values
0 missing
especinumeric3 unique values
0 missing
perkinnumeric2 unique values
0 missing
sweetnumeric5 unique values
0 missing
riaanumeric3 unique values
0 missing
scientistnumeric5 unique values
0 missing
verifinumeric2 unique values
0 missing
wristnumeric3 unique values
0 missing
nelsonnumeric3 unique values
0 missing
replinumeric2 unique values
0 missing
businessmannumeric2 unique values
0 missing
lachlannumeric4 unique values
0 missing
travelnumeric7 unique values
0 missing
disagrenumeric2 unique values
0 missing
seagramnumeric7 unique values
0 missing
colleginumeric2 unique values
0 missing
failurnumeric4 unique values
0 missing
fonumeric5 unique values
0 missing
grantnumeric7 unique values
0 missing
esthernumeric3 unique values
0 missing
surgicnumeric4 unique values
0 missing
navalnumeric3 unique values
0 missing
interventnumeric4 unique values
0 missing
findnumeric5 unique values
0 missing
trulinumeric3 unique values
0 missing
whispernumeric3 unique values
0 missing
indexnumeric5 unique values
0 missing
cloudnumeric3 unique values
0 missing
controllnumeric4 unique values
0 missing
teanumeric3 unique values
0 missing
charmernumeric4 unique values
0 missing
neufeldnumeric3 unique values
0 missing
adanumeric4 unique values
0 missing
aftershocknumeric4 unique values
0 missing
phonenumeric7 unique values
0 missing
typnumeric4 unique values
0 missing
petitionnumeric3 unique values
0 missing
watanabnumeric3 unique values
0 missing
crisinumeric4 unique values
0 missing
definnumeric3 unique values
0 missing
charmnumeric2 unique values
0 missing
triplenumeric2 unique values
0 missing
paintnumeric6 unique values
0 missing
carmennumeric3 unique values
0 missing
benkoenumeric2 unique values
0 missing
reshufflnumeric4 unique values
0 missing
miniserinumeric6 unique values
0 missing
rodmannumeric3 unique values
0 missing
housnumeric2 unique values
0 missing
canumeric2 unique values
0 missing
bangnumeric3 unique values
0 missing
bindnumeric5 unique values
0 missing
migrainnumeric3 unique values
0 missing
documentarinumeric5 unique values
0 missing
employnumeric4 unique values
0 missing
acknowledgnumeric3 unique values
0 missing
cheapnumeric3 unique values
0 missing
rupnumeric2 unique values
0 missing
seinfeldnumeric3 unique values
0 missing
greeknumeric4 unique values
0 missing
nobilonumeric5 unique values
0 missing
boomnumeric3 unique values
0 missing
tednumeric5 unique values
0 missing
jumpnumeric5 unique values
0 missing
portraynumeric3 unique values
0 missing
editornumeric7 unique values
0 missing
weilnumeric3 unique values
0 missing
touchdownnumeric3 unique values
0 missing
strikeoutnumeric2 unique values
0 missing
ripplenumeric2 unique values
0 missing
vistanumeric3 unique values
0 missing
jakenumeric4 unique values
0 missing
weisbachnumeric2 unique values
0 missing
viewernumeric5 unique values
0 missing
pivotnumeric2 unique values
0 missing
telecastnumeric2 unique values
0 missing
ruthlessnumeric2 unique values
0 missing
taxmannumeric2 unique values
0 missing
marginnumeric3 unique values
0 missing
mgmnumeric6 unique values
0 missing
surrognumeric3 unique values
0 missing
sculpturnumeric3 unique values
0 missing
surenumeric2 unique values
0 missing
banknumeric9 unique values
0 missing
dipegonumeric3 unique values
0 missing
musicnumeric13 unique values
0 missing
starrernumeric4 unique values
0 missing
exexnumeric3 unique values
0 missing
congenitnumeric2 unique values
0 missing
flynumeric3 unique values
0 missing
ralphnumeric4 unique values
0 missing
southeasternnumeric3 unique values
0 missing
wgawnumeric3 unique values
0 missing
showernumeric3 unique values
0 missing
boonnumeric2 unique values
0 missing
wormwoodnumeric3 unique values
0 missing
sygmanumeric2 unique values
0 missing
suddennumeric3 unique values
0 missing
stridenumeric2 unique values
0 missing
entertainnumeric7 unique values
0 missing
dietnumeric10 unique values
0 missing
cumenumeric2 unique values
0 missing
painternumeric2 unique values
0 missing
confidentinumeric2 unique values
0 missing
kissnumeric5 unique values
0 missing
similarnumeric4 unique values
0 missing
reneenumeric3 unique values
0 missing
lahtinumeric3 unique values
0 missing
urgentnumeric2 unique values
0 missing
interpersonnumeric2 unique values
0 missing
touchenumeric2 unique values
0 missing
acceptnumeric5 unique values
0 missing
prixnumeric3 unique values
0 missing
shortennumeric3 unique values
0 missing
missionnumeric3 unique values
0 missing
cannenumeric4 unique values
0 missing
intimidnumeric3 unique values
0 missing
frontiernumeric3 unique values
0 missing
academinumeric8 unique values
0 missing
classifnumeric4 unique values
0 missing
reclaimnumeric2 unique values
0 missing
brookenumeric2 unique values
0 missing
finenumeric5 unique values
0 missing
mondainumeric10 unique values
0 missing
blanknumeric3 unique values
0 missing
nimitznumeric3 unique values
0 missing
dirknumeric3 unique values
0 missing
nightlinumeric3 unique values
0 missing
tragicnumeric2 unique values
0 missing
lossnumeric9 unique values
0 missing
vanessanumeric2 unique values
0 missing
conceptnumeric3 unique values
0 missing
reisernumeric2 unique values
0 missing
clarencnumeric2 unique values
0 missing
provincnumeric3 unique values
0 missing
lashenumeric2 unique values
0 missing
gladnumeric3 unique values
0 missing
onlinnumeric18 unique values
0 missing
needlesslinumeric2 unique values
0 missing
incestunumeric2 unique values
0 missing
pascalnumeric2 unique values
0 missing
rembrandtnumeric4 unique values
0 missing
investignumeric8 unique values
0 missing
allocnumeric2 unique values
0 missing
notifnumeric2 unique values
0 missing
claimnumeric6 unique values
0 missing
rootnumeric3 unique values
0 missing
routnumeric2 unique values
0 missing
surfnumeric3 unique values
0 missing
adventnumeric2 unique values
0 missing
bashnumeric4 unique values
0 missing
invarinumeric3 unique values
0 missing
downtownnumeric2 unique values
0 missing
battlenumeric4 unique values
0 missing
burtonnumeric3 unique values
0 missing
sleeplessnumeric2 unique values
0 missing
claudenumeric2 unique values
0 missing
deputinumeric3 unique values
0 missing
authoritariannumeric2 unique values
0 missing
eagernumeric3 unique values
0 missing
melrosnumeric3 unique values
0 missing
tactilnumeric3 unique values
0 missing
amidstnumeric2 unique values
0 missing
edgarnumeric2 unique values
0 missing
shrivernumeric3 unique values
0 missing
robynnumeric2 unique values
0 missing
abigailnumeric2 unique values
0 missing
surgerinumeric9 unique values
0 missing
indiannumeric8 unique values
0 missing
conjunctnumeric3 unique values
0 missing
liquornumeric3 unique values
0 missing
blocknumeric6 unique values
0 missing
chartnumeric7 unique values
0 missing
allmannumeric2 unique values
0 missing
spreadnumeric5 unique values
0 missing
temptnumeric2 unique values
0 missing
joeinumeric2 unique values
0 missing
laughnumeric3 unique values
0 missing
hispannumeric3 unique values
0 missing
adulthoodnumeric3 unique values
0 missing
parkernumeric4 unique values
0 missing
purposnumeric3 unique values
0 missing
bookendnumeric2 unique values
0 missing
mainenumeric2 unique values
0 missing
pittsburghnumeric3 unique values
0 missing
recountnumeric2 unique values
0 missing
garretnumeric3 unique values
0 missing
circumcisnumeric3 unique values
0 missing
spencernumeric3 unique values
0 missing
firmnumeric5 unique values
0 missing
infonumeric3 unique values
0 missing
greennumeric4 unique values
0 missing
benjaminnumeric2 unique values
0 missing
bootnumeric4 unique values
0 missing
committenumeric8 unique values
0 missing
boutnumeric3 unique values
0 missing
particularnumeric3 unique values
0 missing
willingnumeric2 unique values
0 missing
donatnumeric7 unique values
0 missing
bottlenumeric4 unique values
0 missing
ullmannumeric3 unique values
0 missing
yaphetnumeric2 unique values
0 missing
ridleinumeric3 unique values
0 missing
romancnumeric4 unique values
0 missing
jainumeric3 unique values
0 missing
allergnumeric6 unique values
0 missing
rainnumeric3 unique values
0 missing
uproarnumeric3 unique values
0 missing
mafianumeric2 unique values
0 missing
zhangnumeric4 unique values
0 missing
millionnumeric16 unique values
0 missing
goldnumeric7 unique values
0 missing
contaginumeric2 unique values
0 missing
deprivnumeric2 unique values
0 missing
cbnumeric13 unique values
0 missing
callernumeric2 unique values
0 missing
callawainumeric2 unique values
0 missing
aaronnumeric4 unique values
0 missing
yvenumeric2 unique values
0 missing
headquartnumeric3 unique values
0 missing
trucknumeric6 unique values
0 missing
congressnumeric5 unique values
0 missing
heydainumeric2 unique values
0 missing
prospernumeric2 unique values
0 missing
blamnumeric3 unique values
0 missing
arisnumeric2 unique values
0 missing

107 properties

1560
Number of instances (rows) of the dataset.
8461
Number of attributes (columns) of the dataset.
20
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.
8460
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.
0.4
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.6
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
0.33
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.81
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
20
Average number of distinct values among the attributes of the nominal type.
11.72
First quartile of skewness among attributes of the numeric type.
0.55
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.83
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.
0.38
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
16.93
Mean skewness among attributes of the numeric type.
0.06
First quartile of standard deviation of attributes of the numeric type.
0.85
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.36
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
0.63
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.57
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
0.16
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
0.4
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.6
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
0.69
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
21.86
Percentage of instances belonging to the most frequent class.
Minimal entropy among attributes.
307.99
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.55
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
3.72
Entropy of the target attribute values.
0.26
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
341
Number of instances belonging to the most frequent class.
0.93
Minimum kurtosis among attributes of the numeric type.
0.01
Second quartile (Median) of means among attributes of the numeric type.
0.85
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.65
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.
0.4
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.69
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
1532.95
Maximum kurtosis among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
17.42
Second quartile (Median) of skewness among attributes of the numeric type.
0.55
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.15
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
2.4
Maximum of means among attributes of the numeric type.
20
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of binary attributes.
0.1
Second quartile (Median) of standard deviation of attributes of the numeric type.
0.67
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
5.42
Number of attributes divided by the number of instances.
Maximum mutual information between the nominal attributes and the target attribute.
-0.73
Minimum skewness among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
0.6
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.
20
The maximum number of distinct values among attributes of the nominal type.
0
Minimum standard deviation of attributes of the numeric type.
0
Percentage of missing values.
516.66
Third quartile of kurtosis among attributes of the numeric type.
0.11
Average class difference between consecutive instances.
0.33
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.81
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
39
Maximum skewness among attributes of the numeric type.
0.32
Percentage of instances belonging to the least frequent class.
99.99
Percentage of numeric attributes.
0.02
Third quartile of means among attributes of the numeric type.
0.83
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
0.67
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.38
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
2.86
Maximum standard deviation of attributes of the numeric type.
5
Number of instances belonging to the least frequent class.
0.01
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
0.36
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
0.6
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.57
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Average entropy of the attributes.
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of entropy among attributes.
22.76
Third quartile of skewness among attributes of the numeric type.
0.6
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
0.33
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.81
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
356.19
Mean kurtosis among attributes of the numeric type.
0.31
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
151.5
First quartile of kurtosis among attributes of the numeric type.
0.19
Third quartile of standard deviation of attributes of the numeric type.
0.83
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
0.67
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.38
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.
0.65
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0
First quartile of means among attributes of the numeric type.
0.85
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.36
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
0.6
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.57
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001

11 tasks

99 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL
64 runs - estimation_procedure: 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: mean_absolute_error - target_feature: class
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - 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
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: CLASS_LABEL
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
Define a new task