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re0.wc

re0.wc

active Sparse_ARFF Publicly available Visibility: public Uploaded 28-09-2014 by Joaquin Vanschoren
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2887 features

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priornumeric3 unique values
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armnumeric3 unique values
0 missing
ltnumeric3 unique values
0 missing
intellignumeric3 unique values
0 missing
hikenumeric3 unique values
0 missing
jenrettnumeric2 unique values
0 missing
practisnumeric2 unique values
0 missing
respectnumeric4 unique values
0 missing
loomnumeric2 unique values
0 missing
threatenumeric3 unique values
0 missing
argunumeric3 unique values
0 missing
disposnumeric3 unique values
0 missing
timenumeric6 unique values
0 missing
stopnumeric3 unique values
0 missing
randnumeric6 unique values
0 missing
majornumeric5 unique values
0 missing
moorenumeric3 unique values
0 missing
valuenumeric6 unique values
0 missing
highlightnumeric2 unique values
0 missing
externnumeric6 unique values
0 missing
chinesnumeric5 unique values
0 missing
groundnumeric2 unique values
0 missing
bentsennumeric3 unique values
0 missing
locatnumeric2 unique values
0 missing
keptnumeric3 unique values
0 missing
tauponumeric2 unique values
0 missing
deplornumeric3 unique values
0 missing
poolnumeric2 unique values
0 missing
experiencnumeric2 unique values
0 missing
improvnumeric6 unique values
0 missing
bundesbanknumeric11 unique values
0 missing
eranumeric2 unique values
0 missing
lunchnumeric2 unique values
0 missing
ottawanumeric3 unique values
0 missing
reviewnumeric3 unique values
0 missing
sumitanumeric7 unique values
0 missing
bahrainnumeric6 unique values
0 missing
sendnumeric3 unique values
0 missing
officnumeric6 unique values
0 missing
vegetnumeric4 unique values
0 missing
pactnumeric7 unique values
0 missing
divisionnumeric3 unique values
0 missing
stretchnumeric2 unique values
0 missing
alternumeric2 unique values
0 missing
meannumeric5 unique values
0 missing
forintnumeric2 unique values
0 missing
freshnumeric3 unique values
0 missing
privatnumeric5 unique values
0 missing
geographinumeric2 unique values
0 missing
republnumeric3 unique values
0 missing
rangnumeric3 unique values
0 missing
lynchnumeric3 unique values
0 missing
deregulnumeric4 unique values
0 missing
royalnumeric3 unique values
0 missing
tradernumeric6 unique values
0 missing
textilnumeric6 unique values
0 missing
washingtonnumeric6 unique values
0 missing
consumnumeric6 unique values
0 missing
germannumeric8 unique values
0 missing
tadashinumeric2 unique values
0 missing
standnumeric4 unique values
0 missing
oppositnumeric3 unique values
0 missing
ranknumeric2 unique values
0 missing
regulnumeric5 unique values
0 missing
uncertainnumeric3 unique values
0 missing
seriousnumeric3 unique values
0 missing
complaintnumeric4 unique values
0 missing
implicnumeric2 unique values
0 missing
fitnumeric2 unique values
0 missing
outcomnumeric2 unique values
0 missing
laidnumeric2 unique values
0 missing
witternumeric3 unique values
0 missing
alannumeric2 unique values
0 missing
desirnumeric2 unique values
0 missing
hopenumeric4 unique values
0 missing
poornumeric3 unique values
0 missing
makernumeric5 unique values
0 missing
degreenumeric2 unique values
0 missing
mutualnumeric3 unique values
0 missing
marginnumeric3 unique values
0 missing
climbnumeric2 unique values
0 missing
fobnumeric3 unique values
0 missing
gdpnumeric7 unique values
0 missing
downturnnumeric2 unique values
0 missing
signalnumeric3 unique values
0 missing
throughoutnumeric3 unique values
0 missing
monumeric3 unique values
0 missing
tolernumeric3 unique values
0 missing
georgenumeric3 unique values
0 missing
approprinumeric4 unique values
0 missing
histornumeric3 unique values
0 missing
annualnumeric6 unique values
0 missing
fixnumeric6 unique values
0 missing
detectnumeric2 unique values
0 missing
fasternumeric3 unique values
0 missing
adhernumeric2 unique values
0 missing
retailnumeric8 unique values
0 missing
sentnumeric2 unique values
0 missing
chinanumeric12 unique values
0 missing
bitternumeric2 unique values
0 missing
reportnumeric11 unique values
0 missing
sitnumeric2 unique values
0 missing
telecommunnumeric4 unique values
0 missing
clientnumeric2 unique values
0 missing
westernnumeric6 unique values
0 missing
bolsternumeric2 unique values
0 missing
suspectnumeric2 unique values
0 missing
republicannumeric6 unique values
0 missing
secretarinumeric4 unique values
0 missing
automatnumeric3 unique values
0 missing
distancnumeric2 unique values
0 missing
willinumeric2 unique values
0 missing
enquirinumeric2 unique values
0 missing
sixnumeric7 unique values
0 missing
budgetnumeric9 unique values
0 missing
namenumeric2 unique values
0 missing
railwainumeric2 unique values
0 missing
chancellornumeric4 unique values
0 missing
outlooknumeric6 unique values
0 missing
reassurnumeric3 unique values
0 missing
retainnumeric3 unique values
0 missing
whereanumeric2 unique values
0 missing
provincinumeric3 unique values
0 missing
radicnumeric2 unique values
0 missing
inclinnumeric2 unique values
0 missing
blocnumeric3 unique values
0 missing
peoplenumeric3 unique values
0 missing
brazilnumeric7 unique values
0 missing
guildernumeric11 unique values
0 missing
wilsonnumeric3 unique values
0 missing
takahashinumeric3 unique values
0 missing
collectnumeric3 unique values
0 missing
hopnumeric3 unique values
0 missing
mcenteenumeric2 unique values
0 missing
slightnumeric3 unique values
0 missing
prefernumeric2 unique values
0 missing
mercantilnumeric4 unique values
0 missing
incentnumeric4 unique values
0 missing
allannumeric3 unique values
0 missing
accumulnumeric2 unique values
0 missing
emirnumeric2 unique values
0 missing
participnumeric3 unique values
0 missing
sixthnumeric2 unique values
0 missing
pendnumeric2 unique values
0 missing
reaffirmnumeric3 unique values
0 missing
chequablnumeric2 unique values
0 missing
nanumeric3 unique values
0 missing
refundnumeric4 unique values
0 missing
csonumeric4 unique values
0 missing
quotnumeric4 unique values
0 missing
sufficinumeric2 unique values
0 missing
bankernumeric10 unique values
0 missing
cautionnumeric2 unique values
0 missing
bracketnumeric2 unique values
0 missing
macroeconomnumeric3 unique values
0 missing
refrainnumeric2 unique values
0 missing
motornumeric2 unique values
0 missing
wakenumeric2 unique values
0 missing
stiffernumeric2 unique values
0 missing
robertnumeric2 unique values
0 missing
effectnumeric5 unique values
0 missing
advancnumeric5 unique values
0 missing
pharmaceutnumeric2 unique values
0 missing
doornumeric2 unique values
0 missing
ablenumeric4 unique values
0 missing
yongnumeric2 unique values
0 missing
justifinumeric2 unique values
0 missing
liranumeric5 unique values
0 missing
industrinumeric11 unique values
0 missing
seoulnumeric4 unique values
0 missing
deutschenumeric3 unique values
0 missing
conablnumeric4 unique values
0 missing
rulnumeric3 unique values
0 missing
collapsnumeric3 unique values
0 missing
losnumeric3 unique values
0 missing
fathernumeric2 unique values
0 missing
cautiounumeric4 unique values
0 missing
vastnumeric2 unique values
0 missing
elevennumeric2 unique values
0 missing
econominumeric11 unique values
0 missing
governornumeric5 unique values
0 missing
yasuhironumeric3 unique values
0 missing
widennumeric5 unique values
0 missing
radionumeric2 unique values
0 missing
runnumeric3 unique values
0 missing
insurnumeric4 unique values
0 missing
lotnumeric3 unique values
0 missing
arrangnumeric4 unique values
0 missing
essentinumeric2 unique values
0 missing
rubionumeric3 unique values
0 missing
getnumeric2 unique values
0 missing
lirenumeric4 unique values
0 missing
springnumeric2 unique values
0 missing
pleasnumeric4 unique values
0 missing
modifinumeric2 unique values
0 missing
stricternumeric2 unique values
0 missing
mondainumeric3 unique values
0 missing
orientnumeric3 unique values
0 missing
lownumeric6 unique values
0 missing
strucknumeric2 unique values
0 missing
treatenumeric2 unique values
0 missing
realignnumeric5 unique values
0 missing
componnumeric4 unique values
0 missing
fearnumeric4 unique values
0 missing
kansainumeric3 unique values
0 missing
widernumeric2 unique values
0 missing
civilnumeric3 unique values
0 missing
democrnumeric5 unique values
0 missing
orderlinumeric2 unique values
0 missing
closenumeric4 unique values
0 missing
figurnumeric8 unique values
0 missing
rupiahnumeric4 unique values
0 missing
atlantnumeric3 unique values
0 missing
northernnumeric2 unique values
0 missing
contrarinumeric2 unique values
0 missing
putnumeric2 unique values
0 missing
coalnumeric3 unique values
0 missing
jobnumeric5 unique values
0 missing
shareholdnumeric2 unique values
0 missing
lendernumeric2 unique values
0 missing
cabinetnumeric3 unique values
0 missing
counterproductnumeric3 unique values
0 missing
eyskennumeric3 unique values
0 missing
ruralnumeric3 unique values
0 missing
malaysianumeric5 unique values
0 missing
basicnumeric4 unique values
0 missing
recoverinumeric4 unique values
0 missing
abroadnumeric4 unique values
0 missing
comparisonnumeric3 unique values
0 missing
callnumeric6 unique values
0 missing
fhlbnumeric2 unique values
0 missing
objectnumeric4 unique values
0 missing
leadershipnumeric3 unique values
0 missing
enginnumeric3 unique values
0 missing
tournumeric2 unique values
0 missing
decadnumeric2 unique values
0 missing
presidnumeric5 unique values
0 missing
gaugenumeric3 unique values
0 missing
transportnumeric3 unique values
0 missing
cutbacknumeric3 unique values
0 missing
calmnumeric3 unique values
0 missing
dipnumeric2 unique values
0 missing
demandnumeric7 unique values
0 missing
readjustnumeric2 unique values
0 missing
psbrnumeric5 unique values
0 missing
latternumeric2 unique values
0 missing
edwardnumeric4 unique values
0 missing
couplenumeric2 unique values
0 missing
frozennumeric3 unique values
0 missing
complemnumeric2 unique values
0 missing
allevinumeric2 unique values
0 missing
capelnumeric4 unique values
0 missing
touchnumeric2 unique values
0 missing
matchnumeric4 unique values
0 missing
districtnumeric3 unique values
0 missing
southeastnumeric2 unique values
0 missing
arisnumeric2 unique values
0 missing
slashnumeric4 unique values
0 missing
kingdomnumeric2 unique values
0 missing
diminishnumeric2 unique values
0 missing
itemnumeric3 unique values
0 missing
joenumeric2 unique values
0 missing
upsidnumeric2 unique values
0 missing
shednumeric2 unique values
0 missing
inflownumeric6 unique values
0 missing
flexiblnumeric3 unique values
0 missing
saitonumeric4 unique values
0 missing
fridainumeric5 unique values
0 missing
gradualnumeric3 unique values
0 missing
expectnumeric9 unique values
0 missing
moreovnumeric3 unique values
0 missing
quicklinumeric4 unique values
0 missing
therebinumeric2 unique values
0 missing
definnumeric3 unique values
0 missing
africanumeric7 unique values
0 missing
frankfurtnumeric2 unique values
0 missing
surgenumeric3 unique values
0 missing
fairchildnumeric2 unique values
0 missing
answernumeric2 unique values
0 missing
onenumeric2 unique values
0 missing
confusnumeric2 unique values
0 missing
barrelnumeric3 unique values
0 missing
odnumeric3 unique values
0 missing
labournumeric5 unique values
0 missing
dualnumeric2 unique values
0 missing
reductnumeric4 unique values
0 missing
presidentinumeric3 unique values
0 missing
elsenumeric3 unique values
0 missing
greatlinumeric2 unique values
0 missing
closnumeric5 unique values
0 missing
bakernumeric11 unique values
0 missing
begunnumeric3 unique values
0 missing
easiernumeric2 unique values
0 missing
airbunumeric3 unique values
0 missing
plungnumeric2 unique values
0 missing
introducnumeric4 unique values
0 missing
inducnumeric2 unique values
0 missing
clothnumeric3 unique values
0 missing
studinumeric5 unique values
0 missing
unemploinumeric3 unique values
0 missing
avoidnumeric3 unique values
0 missing
takenumeric2 unique values
0 missing
tourismnumeric2 unique values
0 missing
indonesianumeric5 unique values
0 missing
completnumeric2 unique values
0 missing
fortnightlinumeric3 unique values
0 missing
choicenumeric2 unique values
0 missing
recognisnumeric4 unique values
0 missing
bulletinnumeric2 unique values
0 missing
turkishnumeric3 unique values
0 missing
quotanumeric3 unique values
0 missing
utilnumeric3 unique values
0 missing
fitzwatnumeric3 unique values
0 missing
unveilnumeric3 unique values
0 missing
hermannumeric2 unique values
0 missing
ofnumeric3 unique values
0 missing
scepticnumeric2 unique values
0 missing
prematurnumeric2 unique values
0 missing
recognitnumeric3 unique values
0 missing
stabilnumeric6 unique values
0 missing
fivenumeric5 unique values
0 missing
ditchnumeric3 unique values
0 missing
johnsonnumeric7 unique values
0 missing
hugenumeric4 unique values
0 missing
regardnumeric3 unique values
0 missing
jordannumeric5 unique values
0 missing
shocknumeric2 unique values
0 missing
colleagunumeric2 unique values
0 missing
awaitnumeric2 unique values
0 missing
enternumeric3 unique values
0 missing
taknumeric3 unique values
0 missing
estnumeric3 unique values
0 missing
ussrnumeric3 unique values
0 missing
despitnumeric4 unique values
0 missing
unclearnumeric2 unique values
0 missing
combatnumeric2 unique values
0 missing
montnumeric3 unique values
0 missing
especinumeric3 unique values
0 missing
arguenumeric2 unique values
0 missing
foresawnumeric2 unique values
0 missing
controversinumeric2 unique values
0 missing
avertnumeric3 unique values
0 missing
joblessnumeric4 unique values
0 missing
urgnumeric3 unique values
0 missing
acidnumeric3 unique values
0 missing
producnumeric6 unique values
0 missing
touristnumeric3 unique values
0 missing
underlinnumeric2 unique values
0 missing

107 properties

1504
Number of instances (rows) of the dataset.
2887
Number of attributes (columns) of the dataset.
13
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.
2886
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.
0.3
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.65
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
0.82
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
13
Average number of distinct values among the attributes of the nominal type.
9.97
First quartile of skewness among attributes of the numeric type.
0.6
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.85
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.
0.3
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
15.43
Mean skewness among attributes of the numeric type.
0.06
First quartile of standard deviation of attributes of the numeric type.
0.86
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.26
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
0.74
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.6
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
0.18
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
0.3
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.65
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
0.41
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
40.43
Percentage of instances belonging to the most frequent class.
Minimal entropy among attributes.
246.49
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.6
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
2.64
Entropy of the target attribute values.
0.46
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
608
Number of instances belonging to the most frequent class.
8.66
Minimum kurtosis among attributes of the numeric type.
0.01
Second quartile (Median) of means among attributes of the numeric type.
0.86
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.68
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.
0.3
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.46
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
1455.6
Maximum kurtosis among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
15.27
Second quartile (Median) of skewness among attributes of the numeric type.
0.6
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.3
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
2.35
Maximum of means among attributes of the numeric type.
13
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.
0.7
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
1.92
Number of attributes divided by the number of instances.
Maximum mutual information between the nominal attributes and the target attribute.
2.61
Minimum skewness among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
0.47
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.
13
The maximum number of distinct values among attributes of the nominal type.
0.04
Minimum standard deviation of attributes of the numeric type.
0
Percentage of missing values.
466.87
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
0.82
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
37.9
Maximum skewness among attributes of the numeric type.
0.73
Percentage of instances belonging to the least frequent class.
99.97
Percentage of numeric attributes.
0.02
Third quartile of means among attributes of the numeric type.
0.85
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
0.7
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.3
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
4.02
Maximum standard deviation of attributes of the numeric type.
11
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.
0.26
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
0.47
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.6
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Average entropy of the attributes.
0.86
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of entropy among attributes.
20.52
Third quartile of skewness among attributes of the numeric type.
0.65
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
0.82
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
300.07
Mean kurtosis among attributes of the numeric type.
0.41
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
113.36
First quartile of kurtosis among attributes of the numeric type.
0.19
Third quartile of standard deviation of attributes of the numeric type.
0.85
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
0.7
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.3
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.
0.49
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0
First quartile of means among attributes of the numeric type.
0.86
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.26
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
0.47
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.6
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001

6 tasks

129 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: Interleaved Test then Train - target_feature: CLASS_LABEL
Define a new task