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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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bentsen	numeric	3 unique values 0 missing
locat	numeric	2 unique values 0 missing
kept	numeric	3 unique values 0 missing
taupo	numeric	2 unique values 0 missing
deplor	numeric	3 unique values 0 missing
pool	numeric	2 unique values 0 missing
experienc	numeric	2 unique values 0 missing
improv	numeric	6 unique values 0 missing
bundesbank	numeric	11 unique values 0 missing
era	numeric	2 unique values 0 missing
lunch	numeric	2 unique values 0 missing
ottawa	numeric	3 unique values 0 missing
review	numeric	3 unique values 0 missing
sumita	numeric	7 unique values 0 missing
bahrain	numeric	6 unique values 0 missing
send	numeric	3 unique values 0 missing
offic	numeric	6 unique values 0 missing
veget	numeric	4 unique values 0 missing
pact	numeric	7 unique values 0 missing
division	numeric	3 unique values 0 missing
stretch	numeric	2 unique values 0 missing
alter	numeric	2 unique values 0 missing
mean	numeric	5 unique values 0 missing
forint	numeric	2 unique values 0 missing
fresh	numeric	3 unique values 0 missing
privat	numeric	5 unique values 0 missing
geographi	numeric	2 unique values 0 missing
republ	numeric	3 unique values 0 missing
rang	numeric	3 unique values 0 missing
lynch	numeric	3 unique values 0 missing
deregul	numeric	4 unique values 0 missing
royal	numeric	3 unique values 0 missing
trader	numeric	6 unique values 0 missing
textil	numeric	6 unique values 0 missing
washington	numeric	6 unique values 0 missing
consum	numeric	6 unique values 0 missing
german	numeric	8 unique values 0 missing
tadashi	numeric	2 unique values 0 missing
stand	numeric	4 unique values 0 missing
opposit	numeric	3 unique values 0 missing
rank	numeric	2 unique values 0 missing
regul	numeric	5 unique values 0 missing
uncertain	numeric	3 unique values 0 missing
serious	numeric	3 unique values 0 missing
complaint	numeric	4 unique values 0 missing
implic	numeric	2 unique values 0 missing
fit	numeric	2 unique values 0 missing
outcom	numeric	2 unique values 0 missing
laid	numeric	2 unique values 0 missing
witter	numeric	3 unique values 0 missing
alan	numeric	2 unique values 0 missing
desir	numeric	2 unique values 0 missing
hope	numeric	4 unique values 0 missing
poor	numeric	3 unique values 0 missing
maker	numeric	5 unique values 0 missing
degree	numeric	2 unique values 0 missing
mutual	numeric	3 unique values 0 missing
margin	numeric	3 unique values 0 missing
climb	numeric	2 unique values 0 missing
fob	numeric	3 unique values 0 missing
gdp	numeric	7 unique values 0 missing
downturn	numeric	2 unique values 0 missing
signal	numeric	3 unique values 0 missing
throughout	numeric	3 unique values 0 missing
mo	numeric	3 unique values 0 missing
toler	numeric	3 unique values 0 missing
george	numeric	3 unique values 0 missing
appropri	numeric	4 unique values 0 missing
histor	numeric	3 unique values 0 missing
annual	numeric	6 unique values 0 missing
fix	numeric	6 unique values 0 missing
detect	numeric	2 unique values 0 missing
faster	numeric	3 unique values 0 missing
adher	numeric	2 unique values 0 missing
retail	numeric	8 unique values 0 missing
sent	numeric	2 unique values 0 missing
china	numeric	12 unique values 0 missing
bitter	numeric	2 unique values 0 missing
report	numeric	11 unique values 0 missing
sit	numeric	2 unique values 0 missing
telecommun	numeric	4 unique values 0 missing
client	numeric	2 unique values 0 missing
western	numeric	6 unique values 0 missing
bolster	numeric	2 unique values 0 missing
suspect	numeric	2 unique values 0 missing
republican	numeric	6 unique values 0 missing
secretari	numeric	4 unique values 0 missing
automat	numeric	3 unique values 0 missing
distanc	numeric	2 unique values 0 missing
willi	numeric	2 unique values 0 missing
enquiri	numeric	2 unique values 0 missing
six	numeric	7 unique values 0 missing
budget	numeric	9 unique values 0 missing
name	numeric	2 unique values 0 missing
railwai	numeric	2 unique values 0 missing
chancellor	numeric	4 unique values 0 missing
outlook	numeric	6 unique values 0 missing
reassur	numeric	3 unique values 0 missing
retain	numeric	3 unique values 0 missing
wherea	numeric	2 unique values 0 missing
provinci	numeric	3 unique values 0 missing
radic	numeric	2 unique values 0 missing
inclin	numeric	2 unique values 0 missing
bloc	numeric	3 unique values 0 missing
people	numeric	3 unique values 0 missing
brazil	numeric	7 unique values 0 missing
guilder	numeric	11 unique values 0 missing
wilson	numeric	3 unique values 0 missing
takahashi	numeric	3 unique values 0 missing
collect	numeric	3 unique values 0 missing
hop	numeric	3 unique values 0 missing
mcentee	numeric	2 unique values 0 missing
slight	numeric	3 unique values 0 missing
prefer	numeric	2 unique values 0 missing
mercantil	numeric	4 unique values 0 missing
incent	numeric	4 unique values 0 missing
allan	numeric	3 unique values 0 missing
accumul	numeric	2 unique values 0 missing
emir	numeric	2 unique values 0 missing
particip	numeric	3 unique values 0 missing
sixth	numeric	2 unique values 0 missing
pend	numeric	2 unique values 0 missing
reaffirm	numeric	3 unique values 0 missing
chequabl	numeric	2 unique values 0 missing
na	numeric	3 unique values 0 missing
refund	numeric	4 unique values 0 missing
cso	numeric	4 unique values 0 missing
quot	numeric	4 unique values 0 missing
suffici	numeric	2 unique values 0 missing
banker	numeric	10 unique values 0 missing
caution	numeric	2 unique values 0 missing
bracket	numeric	2 unique values 0 missing
macroeconom	numeric	3 unique values 0 missing
refrain	numeric	2 unique values 0 missing
motor	numeric	2 unique values 0 missing
wake	numeric	2 unique values 0 missing
stiffer	numeric	2 unique values 0 missing
robert	numeric	2 unique values 0 missing
effect	numeric	5 unique values 0 missing
advanc	numeric	5 unique values 0 missing
pharmaceut	numeric	2 unique values 0 missing
door	numeric	2 unique values 0 missing
able	numeric	4 unique values 0 missing
yong	numeric	2 unique values 0 missing
justifi	numeric	2 unique values 0 missing
lira	numeric	5 unique values 0 missing
industri	numeric	11 unique values 0 missing
seoul	numeric	4 unique values 0 missing
deutsche	numeric	3 unique values 0 missing
conabl	numeric	4 unique values 0 missing
rul	numeric	3 unique values 0 missing
collaps	numeric	3 unique values 0 missing
los	numeric	3 unique values 0 missing
father	numeric	2 unique values 0 missing
cautiou	numeric	4 unique values 0 missing
vast	numeric	2 unique values 0 missing
eleven	numeric	2 unique values 0 missing
economi	numeric	11 unique values 0 missing
governor	numeric	5 unique values 0 missing
yasuhiro	numeric	3 unique values 0 missing
widen	numeric	5 unique values 0 missing
radio	numeric	2 unique values 0 missing
run	numeric	3 unique values 0 missing
insur	numeric	4 unique values 0 missing
lot	numeric	3 unique values 0 missing
arrang	numeric	4 unique values 0 missing
essenti	numeric	2 unique values 0 missing
rubio	numeric	3 unique values 0 missing
get	numeric	2 unique values 0 missing
lire	numeric	4 unique values 0 missing
spring	numeric	2 unique values 0 missing
pleas	numeric	4 unique values 0 missing
modifi	numeric	2 unique values 0 missing
stricter	numeric	2 unique values 0 missing
mondai	numeric	3 unique values 0 missing
orient	numeric	3 unique values 0 missing
low	numeric	6 unique values 0 missing
struck	numeric	2 unique values 0 missing
treate	numeric	2 unique values 0 missing
realign	numeric	5 unique values 0 missing
compon	numeric	4 unique values 0 missing
fear	numeric	4 unique values 0 missing
kansai	numeric	3 unique values 0 missing
wider	numeric	2 unique values 0 missing
civil	numeric	3 unique values 0 missing
democr	numeric	5 unique values 0 missing
orderli	numeric	2 unique values 0 missing
close	numeric	4 unique values 0 missing
figur	numeric	8 unique values 0 missing
rupiah	numeric	4 unique values 0 missing
atlant	numeric	3 unique values 0 missing
northern	numeric	2 unique values 0 missing
contrari	numeric	2 unique values 0 missing
put	numeric	2 unique values 0 missing
coal	numeric	3 unique values 0 missing
job	numeric	5 unique values 0 missing
sharehold	numeric	2 unique values 0 missing
lender	numeric	2 unique values 0 missing
cabinet	numeric	3 unique values 0 missing
counterproduct	numeric	3 unique values 0 missing
eysken	numeric	3 unique values 0 missing
rural	numeric	3 unique values 0 missing
malaysia	numeric	5 unique values 0 missing
basic	numeric	4 unique values 0 missing
recoveri	numeric	4 unique values 0 missing
abroad	numeric	4 unique values 0 missing
comparison	numeric	3 unique values 0 missing
call	numeric	6 unique values 0 missing
fhlb	numeric	2 unique values 0 missing
object	numeric	4 unique values 0 missing
leadership	numeric	3 unique values 0 missing
engin	numeric	3 unique values 0 missing
tour	numeric	2 unique values 0 missing
decad	numeric	2 unique values 0 missing
presid	numeric	5 unique values 0 missing
gauge	numeric	3 unique values 0 missing
transport	numeric	3 unique values 0 missing
cutback	numeric	3 unique values 0 missing
calm	numeric	3 unique values 0 missing
dip	numeric	2 unique values 0 missing
demand	numeric	7 unique values 0 missing
readjust	numeric	2 unique values 0 missing
psbr	numeric	5 unique values 0 missing
latter	numeric	2 unique values 0 missing
edward	numeric	4 unique values 0 missing
couple	numeric	2 unique values 0 missing
frozen	numeric	3 unique values 0 missing
complem	numeric	2 unique values 0 missing
allevi	numeric	2 unique values 0 missing
capel	numeric	4 unique values 0 missing
touch	numeric	2 unique values 0 missing
match	numeric	4 unique values 0 missing
district	numeric	3 unique values 0 missing
southeast	numeric	2 unique values 0 missing
aris	numeric	2 unique values 0 missing
slash	numeric	4 unique values 0 missing
kingdom	numeric	2 unique values 0 missing
diminish	numeric	2 unique values 0 missing
item	numeric	3 unique values 0 missing
joe	numeric	2 unique values 0 missing
upsid	numeric	2 unique values 0 missing
shed	numeric	2 unique values 0 missing
inflow	numeric	6 unique values 0 missing
flexibl	numeric	3 unique values 0 missing
saito	numeric	4 unique values 0 missing
fridai	numeric	5 unique values 0 missing
gradual	numeric	3 unique values 0 missing
expect	numeric	9 unique values 0 missing
moreov	numeric	3 unique values 0 missing
quickli	numeric	4 unique values 0 missing
therebi	numeric	2 unique values 0 missing
defin	numeric	3 unique values 0 missing
africa	numeric	7 unique values 0 missing
frankfurt	numeric	2 unique values 0 missing
surge	numeric	3 unique values 0 missing
fairchild	numeric	2 unique values 0 missing
answer	numeric	2 unique values 0 missing
one	numeric	2 unique values 0 missing
confus	numeric	2 unique values 0 missing
barrel	numeric	3 unique values 0 missing
od	numeric	3 unique values 0 missing
labour	numeric	5 unique values 0 missing
dual	numeric	2 unique values 0 missing
reduct	numeric	4 unique values 0 missing
presidenti	numeric	3 unique values 0 missing
else	numeric	3 unique values 0 missing
greatli	numeric	2 unique values 0 missing
clos	numeric	5 unique values 0 missing
baker	numeric	11 unique values 0 missing
begun	numeric	3 unique values 0 missing
easier	numeric	2 unique values 0 missing
airbu	numeric	3 unique values 0 missing
plung	numeric	2 unique values 0 missing
introduc	numeric	4 unique values 0 missing
induc	numeric	2 unique values 0 missing
cloth	numeric	3 unique values 0 missing
studi	numeric	5 unique values 0 missing
unemploi	numeric	3 unique values 0 missing
avoid	numeric	3 unique values 0 missing
take	numeric	2 unique values 0 missing
tourism	numeric	2 unique values 0 missing
indonesia	numeric	5 unique values 0 missing
complet	numeric	2 unique values 0 missing
fortnightli	numeric	3 unique values 0 missing
choice	numeric	2 unique values 0 missing
recognis	numeric	4 unique values 0 missing
bulletin	numeric	2 unique values 0 missing
turkish	numeric	3 unique values 0 missing
quota	numeric	3 unique values 0 missing
util	numeric	3 unique values 0 missing
fitzwat	numeric	3 unique values 0 missing
unveil	numeric	3 unique values 0 missing
herman	numeric	2 unique values 0 missing
of	numeric	3 unique values 0 missing
sceptic	numeric	2 unique values 0 missing
prematur	numeric	2 unique values 0 missing
recognit	numeric	3 unique values 0 missing
stabil	numeric	6 unique values 0 missing
five	numeric	5 unique values 0 missing
ditch	numeric	3 unique values 0 missing
johnson	numeric	7 unique values 0 missing
huge	numeric	4 unique values 0 missing
regard	numeric	3 unique values 0 missing
jordan	numeric	5 unique values 0 missing
shock	numeric	2 unique values 0 missing
colleagu	numeric	2 unique values 0 missing
await	numeric	2 unique values 0 missing
enter	numeric	3 unique values 0 missing
tak	numeric	3 unique values 0 missing
est	numeric	3 unique values 0 missing
ussr	numeric	3 unique values 0 missing
despit	numeric	4 unique values 0 missing
unclear	numeric	2 unique values 0 missing
combat	numeric	2 unique values 0 missing
mont	numeric	3 unique values 0 missing
especi	numeric	3 unique values 0 missing
argue	numeric	2 unique values 0 missing
foresaw	numeric	2 unique values 0 missing
controversi	numeric	2 unique values 0 missing
avert	numeric	3 unique values 0 missing
jobless	numeric	4 unique values 0 missing
urg	numeric	3 unique values 0 missing
acid	numeric	3 unique values 0 missing
produc	numeric	6 unique values 0 missing
tourist	numeric	3 unique values 0 missing
underlin	numeric	2 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

1504

Number of instances (rows) of the dataset.

NumberOfFeatures

2887

Number of attributes (columns) of the dataset.

NumberOfClasses

Number of distinct values of the target attribute (if it is nominal).

NumberOfMissingValues

Number of missing values in the dataset.

NumberOfInstancesWithMissingValues

Number of instances with at least one value missing.

NumberOfNumericFeatures

2886

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

Quartile1SkewnessOfNumericAtts

9.97

First quartile of skewness among attributes of the numeric type.

REPTreeDepth1Kappa

0.6

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1

CfsSubsetEval_kNN1NAUC

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

StdvNominalAttDistinctValues

Standard deviation of the number of distinct values among attributes of the nominal type.

J48.001.ErrRate

0.3

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanNominalAttDistinctValues

Average number of distinct values among the attributes of the nominal type.

Quartile1StdDevOfNumericAtts

0.06

First quartile of standard deviation of attributes of the numeric type.

REPTreeDepth2AUC

0.86

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2

CfsSubsetEval_kNN1NErrRate

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

kNN1NAUC

0.74

Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk

J48.001.Kappa

0.6

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanSkewnessOfNumericAtts

15.43

Mean skewness among attributes of the numeric type.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

REPTreeDepth2ErrRate

0.3

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2

CfsSubsetEval_kNN1NKappa

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

kNN1NErrRate

0.41

Error rate achieved by the landmarker weka.classifiers.lazy.IBk

MajorityClassPercentage

40.43

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

0.18

Mean standard deviation of attributes of the numeric type.

Quartile2KurtosisOfNumericAtts

246.49

Second quartile (Median) of kurtosis among attributes of the numeric type.

REPTreeDepth2Kappa

0.6

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2

ClassEntropy

2.64

Entropy of the target attribute values.

kNN1NKappa

0.46

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

MajorityClassSize

608

Number of instances belonging to the most frequent class.

MinAttributeEntropy

Minimal entropy among attributes.

Quartile2MeansOfNumericAtts

0.01

Second quartile (Median) of means among attributes of the numeric type.

REPTreeDepth3AUC

0.86

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpAUC

0.68

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxAttributeEntropy

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

8.66

Minimum kurtosis among attributes of the numeric type.

Quartile2MutualInformation

Second quartile (Median) of mutual information between the nominal attributes and the target attribute.

REPTreeDepth3ErrRate

0.3

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpErrRate

0.46

Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxKurtosisOfNumericAtts

1455.6

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

Minimum of means among attributes of the numeric type.

Quartile2SkewnessOfNumericAtts

15.27

Second quartile (Median) of skewness among attributes of the numeric type.

REPTreeDepth3Kappa

0.6

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpKappa

0.3

Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxMeansOfNumericAtts

2.35

Maximum of means among attributes of the numeric type.

MinMutualInformation

Minimal mutual information between the nominal attributes and the target attribute.

PercentageOfBinaryFeatures

Percentage of binary attributes.

Quartile2StdDevOfNumericAtts

0.1

Second quartile (Median) of standard deviation of attributes of the numeric type.

RandomTreeDepth1AUC

0.7

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

Dimensionality

1.92

Number of attributes divided by the number of instances.

MaxMutualInformation

Maximum mutual information between the nominal attributes and the target attribute.

MinNominalAttDistinctValues

The minimal number of distinct values among attributes of the nominal type.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

RandomTreeDepth1ErrRate

0.47

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

EquivalentNumberOfAtts

Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.

MaxNominalAttDistinctValues

The maximum number of distinct values among attributes of the nominal type.

MinSkewnessOfNumericAtts

2.61

Minimum skewness among attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

466.87

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

0.34

Average class difference between consecutive instances.

RandomTreeDepth1Kappa

0.39

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

J48.00001.AUC

0.82

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MaxSkewnessOfNumericAtts

37.9

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

0.04

Minimum standard deviation of attributes of the numeric type.

PercentageOfNumericFeatures

99.97

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

0.02

Third quartile of means among attributes of the numeric type.

CfsSubsetEval_DecisionStumpAUC

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

RandomTreeDepth2AUC

0.7

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.00001.ErrRate

0.3

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MaxStdDevOfNumericAtts

4.02

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

0.73

Percentage of instances belonging to the least frequent class.

PercentageOfSymbolicFeatures

0.03

Percentage of nominal attributes.

Quartile3MutualInformation

Third quartile of mutual information between the nominal attributes and the target attribute.

CfsSubsetEval_DecisionStumpErrRate

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

RandomTreeDepth2ErrRate

0.47

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.00001.Kappa

0.6

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MeanAttributeEntropy

Average entropy of the attributes.

MinorityClassSize

Number of instances belonging to the least frequent class.

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile3SkewnessOfNumericAtts

20.52

Third quartile of skewness among attributes of the numeric type.

CfsSubsetEval_DecisionStumpKappa

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

RandomTreeDepth2Kappa

0.39

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.0001.AUC

0.82

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanKurtosisOfNumericAtts

300.07

Mean kurtosis among attributes of the numeric type.

NaiveBayesAUC

0.86

Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1KurtosisOfNumericAtts

113.36

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

0.19

Third quartile of standard deviation of attributes of the numeric type.

CfsSubsetEval_NaiveBayesAUC

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

RandomTreeDepth3AUC

0.7

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.0001.ErrRate

0.3

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanMeansOfNumericAtts

0.03

Mean of means among attributes of the numeric type.

NaiveBayesErrRate

0.41

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

Quartile1MeansOfNumericAtts

First quartile of means among attributes of the numeric type.

REPTreeDepth1AUC

0.86

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1

CfsSubsetEval_NaiveBayesErrRate

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

RandomTreeDepth3ErrRate

0.47

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.0001.Kappa

0.6

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanMutualInformation

Average mutual information between the nominal attributes and the target attribute.

NaiveBayesKappa

0.49

Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1MutualInformation

First quartile of mutual information between the nominal attributes and the target attribute.

REPTreeDepth1ErrRate

0.3

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1

CfsSubsetEval_NaiveBayesKappa

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

RandomTreeDepth3Kappa

0.39

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.001.AUC

0.82

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanNoiseToSignalRatio

An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.

NumberOfBinaryFeatures

Number of binary attributes.

Show all 107 properties

15 tasks

Supervised Classification on re0.wc

129 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL

Supervised Classification on re0.wc

93 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL

Supervised Classification on re0.wc

0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL

Supervised Data Stream Classification on re0.wc

0 runs - estimation_procedure: Interleaved Test then Train - target_feature: CLASS_LABEL

Clustering on re0.wc