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tr41.wc

active Sparse_ARFF Publicly available Visibility: public Uploaded 28-09-2014 by Joaquin Vanschoren
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7455 features

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lithuania	numeric	7 unique values 0 missing
bride	numeric	3 unique values 0 missing
ochoa	numeric	5 unique values 0 missing
rene	numeric	2 unique values 0 missing
surge	numeric	3 unique values 0 missing
fraction	numeric	2 unique values 0 missing
cancell	numeric	3 unique values 0 missing
merseysid	numeric	2 unique values 0 missing
worker	numeric	7 unique values 0 missing
peacekeep	numeric	5 unique values 0 missing
wale	numeric	4 unique values 0 missing
pension	numeric	6 unique values 0 missing
assur	numeric	5 unique values 0 missing
rainfall	numeric	4 unique values 0 missing
committe	numeric	11 unique values 0 missing
motherwel	numeric	4 unique values 0 missing
georgian	numeric	5 unique values 0 missing
secondari	numeric	4 unique values 0 missing
ambul	numeric	3 unique values 0 missing
cure	numeric	4 unique values 0 missing
walk	numeric	4 unique values 0 missing
frigat	numeric	2 unique values 0 missing
explosion	numeric	5 unique values 0 missing
scratch	numeric	2 unique values 0 missing
princeton	numeric	3 unique values 0 missing
riot	numeric	4 unique values 0 missing
bulgaria	numeric	3 unique values 0 missing
grain	numeric	3 unique values 0 missing
isotop	numeric	4 unique values 0 missing
lax	numeric	2 unique values 0 missing
acid	numeric	3 unique values 0 missing
bother	numeric	2 unique values 0 missing
vladimiro	numeric	2 unique values 0 missing
citizen	numeric	7 unique values 0 missing
else	numeric	4 unique values 0 missing
scrutini	numeric	2 unique values 0 missing
importantli	numeric	2 unique values 0 missing
queen	numeric	4 unique values 0 missing
ec	numeric	9 unique values 0 missing
barrag	numeric	3 unique values 0 missing
separ	numeric	7 unique values 0 missing
nearest	numeric	2 unique values 0 missing
innoc	numeric	4 unique values 0 missing
gortari	numeric	2 unique values 0 missing
demonstr	numeric	8 unique values 0 missing
quarter	numeric	5 unique values 0 missing
seller	numeric	3 unique values 0 missing
salari	numeric	6 unique values 0 missing
captur	numeric	4 unique values 0 missing
pablo	numeric	3 unique values 0 missing
offend	numeric	4 unique values 0 missing
noisi	numeric	2 unique values 0 missing
imposit	numeric	3 unique values 0 missing
phu	numeric	4 unique values 0 missing
eb	numeric	2 unique values 0 missing
armor	numeric	5 unique values 0 missing
malic	numeric	3 unique values 0 missing
proton	numeric	4 unique values 0 missing
pearl	numeric	2 unique values 0 missing
judici	numeric	6 unique values 0 missing
asuncion	numeric	3 unique values 0 missing
faint	numeric	2 unique values 0 missing
fratern	numeric	2 unique values 0 missing
pearson	numeric	2 unique values 0 missing
warmli	numeric	3 unique values 0 missing
revenu	numeric	8 unique values 0 missing
tarif	numeric	5 unique values 0 missing
commend	numeric	3 unique values 0 missing
decree	numeric	6 unique values 0 missing
obsess	numeric	2 unique values 0 missing
countri	numeric	22 unique values 0 missing
lease	numeric	3 unique values 0 missing
major	numeric	15 unique values 0 missing
psychologist	numeric	3 unique values 0 missing
certainti	numeric	3 unique values 0 missing
contamin	numeric	5 unique values 0 missing
clutton	numeric	4 unique values 0 missing
grid	numeric	4 unique values 0 missing
nh	numeric	4 unique values 0 missing
proclaim	numeric	2 unique values 0 missing
otherwis	numeric	4 unique values 0 missing
household	numeric	4 unique values 0 missing
coffee	numeric	4 unique values 0 missing
stubborn	numeric	3 unique values 0 missing
diseas	numeric	5 unique values 0 missing
feate	numeric	3 unique values 0 missing
curfew	numeric	3 unique values 0 missing
navig	numeric	5 unique values 0 missing
outbreak	numeric	3 unique values 0 missing
explos	numeric	4 unique values 0 missing
fauna	numeric	3 unique values 0 missing
debilit	numeric	2 unique values 0 missing
barri	numeric	3 unique values 0 missing
ward	numeric	3 unique values 0 missing
tir	numeric	2 unique values 0 missing
philip	numeric	3 unique values 0 missing
obsolet	numeric	2 unique values 0 missing
pain	numeric	5 unique values 0 missing
empir	numeric	3 unique values 0 missing
steadili	numeric	4 unique values 0 missing
london	numeric	14 unique values 0 missing
crew	numeric	6 unique values 0 missing
edward	numeric	3 unique values 0 missing
bypass	numeric	2 unique values 0 missing
secret	numeric	8 unique values 0 missing
sanguin	numeric	2 unique values 0 missing
imagin	numeric	4 unique values 0 missing
invalid	numeric	4 unique values 0 missing
widen	numeric	4 unique values 0 missing
maastricht	numeric	3 unique values 0 missing
clear	numeric	5 unique values 0 missing
clog	numeric	3 unique values 0 missing
discretion	numeric	4 unique values 0 missing
vii	numeric	4 unique values 0 missing
score	numeric	5 unique values 0 missing
protocol	numeric	8 unique values 0 missing
retribut	numeric	3 unique values 0 missing
repris	numeric	3 unique values 0 missing
han	numeric	3 unique values 0 missing
mortar	numeric	4 unique values 0 missing
summar	numeric	3 unique values 0 missing
later	numeric	2 unique values 0 missing
wan	numeric	4 unique values 0 missing
wrote	numeric	6 unique values 0 missing
fighter	numeric	4 unique values 0 missing
flate	numeric	5 unique values 0 missing
latitud	numeric	5 unique values 0 missing
hill	numeric	5 unique values 0 missing
creation	numeric	7 unique values 0 missing
issu	numeric	8 unique values 0 missing
posit	numeric	5 unique values 0 missing
recurr	numeric	3 unique values 0 missing
factori	numeric	5 unique values 0 missing
rancho	numeric	3 unique values 0 missing
royal	numeric	4 unique values 0 missing
supervisor	numeric	3 unique values 0 missing
boston	numeric	4 unique values 0 missing
southern	numeric	6 unique values 0 missing
foreseen	numeric	3 unique values 0 missing
worthwhil	numeric	2 unique values 0 missing
ban	numeric	8 unique values 0 missing
proportion	numeric	2 unique values 0 missing
downsid	numeric	2 unique values 0 missing
inadequaci	numeric	2 unique values 0 missing
seventh	numeric	3 unique values 0 missing
obscur	numeric	2 unique values 0 missing
reshuffl	numeric	2 unique values 0 missing
coin	numeric	2 unique values 0 missing
afr	numeric	2 unique values 0 missing
unexpectedli	numeric	2 unique values 0 missing
feud	numeric	3 unique values 0 missing
dress	numeric	4 unique values 0 missing
narcotraffick	numeric	3 unique values 0 missing
critic	numeric	8 unique values 0 missing
meate	numeric	4 unique values 0 missing
weak	numeric	5 unique values 0 missing
sanction	numeric	6 unique values 0 missing
danger	numeric	6 unique values 0 missing
player	numeric	4 unique values 0 missing
arrang	numeric	6 unique values 0 missing
ht	numeric	4 unique values 0 missing
paid	numeric	7 unique values 0 missing
shipbuild	numeric	3 unique values 0 missing
newscast	numeric	5 unique values 0 missing
listen	numeric	3 unique values 0 missing
revolut	numeric	4 unique values 0 missing
fig	numeric	4 unique values 0 missing
supplier	numeric	3 unique values 0 missing
cushion	numeric	3 unique values 0 missing
ice	numeric	10 unique values 0 missing
deliv	numeric	8 unique values 0 missing
disc	numeric	2 unique values 0 missing
strata	numeric	2 unique values 0 missing
parkwai	numeric	2 unique values 0 missing
league	numeric	6 unique values 0 missing
et	numeric	6 unique values 0 missing
repatri	numeric	3 unique values 0 missing
frenzi	numeric	2 unique values 0 missing
escort	numeric	3 unique values 0 missing
countless	numeric	3 unique values 0 missing
prayer	numeric	2 unique values 0 missing
toss	numeric	3 unique values 0 missing
slai	numeric	7 unique values 0 missing
reiter	numeric	4 unique values 0 missing
geodesi	numeric	6 unique values 0 missing
phase	numeric	8 unique values 0 missing
meanwhil	numeric	4 unique values 0 missing
mondai	numeric	6 unique values 0 missing
adopt	numeric	5 unique values 0 missing
signifi	numeric	2 unique values 0 missing
carlo	numeric	5 unique values 0 missing
easili	numeric	4 unique values 0 missing
electron	numeric	10 unique values 0 missing
xew	numeric	2 unique values 0 missing
midst	numeric	3 unique values 0 missing
trader	numeric	6 unique values 0 missing
fil	numeric	4 unique values 0 missing
phrase	numeric	4 unique values 0 missing
woman	numeric	5 unique values 0 missing
mileag	numeric	2 unique values 0 missing
charodeyev	numeric	2 unique values 0 missing
trailer	numeric	5 unique values 0 missing
ploi	numeric	2 unique values 0 missing
wanton	numeric	3 unique values 0 missing
inconveni	numeric	3 unique values 0 missing
brigad	numeric	4 unique values 0 missing
plead	numeric	4 unique values 0 missing
yeoryio	numeric	3 unique values 0 missing
sapa	numeric	2 unique values 0 missing
ring	numeric	4 unique values 0 missing
outpost	numeric	3 unique values 0 missing
cri	numeric	2 unique values 0 missing
naranjo	numeric	3 unique values 0 missing
kendall	numeric	4 unique values 0 missing
mount	numeric	4 unique values 0 missing
adjust	numeric	8 unique values 0 missing
dissent	numeric	6 unique values 0 missing
church	numeric	3 unique values 0 missing
jean	numeric	4 unique values 0 missing
wider	numeric	3 unique values 0 missing
cooper	numeric	16 unique values 0 missing
deputi	numeric	12 unique values 0 missing
chlorin	numeric	2 unique values 0 missing
turtle	numeric	3 unique values 0 missing
reorgan	numeric	4 unique values 0 missing
redund	numeric	4 unique values 0 missing
regener	numeric	5 unique values 0 missing
whom	numeric	4 unique values 0 missing
absurd	numeric	3 unique values 0 missing
slowli	numeric	3 unique values 0 missing
kamil	numeric	3 unique values 0 missing
marshall	numeric	4 unique values 0 missing
vanguard	numeric	4 unique values 0 missing
pot	numeric	2 unique values 0 missing
announc	numeric	10 unique values 0 missing
smash	numeric	3 unique values 0 missing
mandela	numeric	3 unique values 0 missing
zeroual	numeric	3 unique values 0 missing
anc	numeric	10 unique values 0 missing
filter	numeric	3 unique values 0 missing
glendal	numeric	5 unique values 0 missing
gall	numeric	2 unique values 0 missing
sherif	numeric	5 unique values 0 missing
compell	numeric	2 unique values 0 missing
batter	numeric	2 unique values 0 missing
stream	numeric	4 unique values 0 missing
deni	numeric	5 unique values 0 missing
borrow	numeric	7 unique values 0 missing
buri	numeric	3 unique values 0 missing
host	numeric	4 unique values 0 missing
american	numeric	14 unique values 0 missing
administr	numeric	8 unique values 0 missing
indigen	numeric	3 unique values 0 missing
nautic	numeric	8 unique values 0 missing
characterist	numeric	7 unique values 0 missing
impati	numeric	3 unique values 0 missing
vendor	numeric	2 unique values 0 missing
panorama	numeric	2 unique values 0 missing
rescue	numeric	4 unique values 0 missing
clean	numeric	5 unique values 0 missing
islet	numeric	5 unique values 0 missing
likewis	numeric	2 unique values 0 missing
vot	numeric	4 unique values 0 missing
jointli	numeric	5 unique values 0 missing
script	numeric	2 unique values 0 missing
exit	numeric	3 unique values 0 missing
nicosia	numeric	4 unique values 0 missing
chant	numeric	2 unique values 0 missing
dent	numeric	2 unique values 0 missing
igor	numeric	3 unique values 0 missing
quest	numeric	2 unique values 0 missing
cal	numeric	3 unique values 0 missing
provid	numeric	14 unique values 0 missing
rear	numeric	3 unique values 0 missing
authoris	numeric	4 unique values 0 missing
rule	numeric	7 unique values 0 missing
surrend	numeric	6 unique values 0 missing
west	numeric	12 unique values 0 missing
decemb	numeric	7 unique values 0 missing
chile	numeric	9 unique values 0 missing
lectur	numeric	4 unique values 0 missing
drag	numeric	2 unique values 0 missing
abstent	numeric	2 unique values 0 missing
gavin	numeric	2 unique values 0 missing
fram	numeric	2 unique values 0 missing
arup	numeric	2 unique values 0 missing
percent	numeric	11 unique values 0 missing
rein	numeric	2 unique values 0 missing
distress	numeric	3 unique values 0 missing
prosecutor	numeric	11 unique values 0 missing
defer	numeric	3 unique values 0 missing
antiqu	numeric	3 unique values 0 missing
orbit	numeric	11 unique values 0 missing
ali	numeric	3 unique values 0 missing
mafia	numeric	6 unique values 0 missing
apolog	numeric	2 unique values 0 missing
canton	numeric	3 unique values 0 missing
supervis	numeric	4 unique values 0 missing
esther	numeric	2 unique values 0 missing
cong	numeric	3 unique values 0 missing
nicknam	numeric	2 unique values 0 missing
fuente	numeric	2 unique values 0 missing
earn	numeric	8 unique values 0 missing
command	numeric	9 unique values 0 missing
bishop	numeric	3 unique values 0 missing
averag	numeric	11 unique values 0 missing
line	numeric	16 unique values 0 missing
centre	numeric	8 unique values 0 missing
sixth	numeric	4 unique values 0 missing
convers	numeric	6 unique values 0 missing
ypf	numeric	5 unique values 0 missing
justif	numeric	3 unique values 0 missing
cargo	numeric	7 unique values 0 missing
interfax	numeric	6 unique values 0 missing
rutlei	numeric	3 unique values 0 missing
apr	numeric	5 unique values 0 missing
pure	numeric	4 unique values 0 missing
propag	numeric	2 unique values 0 missing
subvers	numeric	3 unique values 0 missing
locomot	numeric	3 unique values 0 missing
endow	numeric	4 unique values 0 missing
island	numeric	19 unique values 0 missing
hostag	numeric	14 unique values 0 missing
renegad	numeric	2 unique values 0 missing
hover	numeric	2 unique values 0 missing
loose	numeric	3 unique values 0 missing
proof	numeric	3 unique values 0 missing
subsid	numeric	3 unique values 0 missing
lao	numeric	3 unique values 0 missing
salazar	numeric	3 unique values 0 missing
threaten	numeric	5 unique values 0 missing
superimpos	numeric	2 unique values 0 missing
structur	numeric	11 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

878

Number of instances (rows) of the dataset.

NumberOfFeatures

7455

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

7454

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

REPTreeDepth3AUC

0.96

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

DecisionStumpAUC

0.75

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

MaxAttributeEntropy

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

-2

Minimum kurtosis among attributes of the numeric type.

Quartile2MeansOfNumericAtts

0.01

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

REPTreeDepth3ErrRate

0.13

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

DecisionStumpErrRate

0.55

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

MaxKurtosisOfNumericAtts

877.37

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

Minimum of means among attributes of the numeric type.

Quartile2MutualInformation

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

REPTreeDepth3Kappa

0.85

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

DecisionStumpKappa

0.28

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

MaxMeansOfNumericAtts

6.68

Maximum of means among attributes of the numeric type.

MinMutualInformation

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

Quartile2SkewnessOfNumericAtts

14.74

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

RandomTreeDepth1AUC

0.76

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

Dimensionality

8.49

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.

PercentageOfBinaryFeatures

Percentage of binary attributes.

Quartile2StdDevOfNumericAtts

0.16

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

RandomTreeDepth1ErrRate

0.41

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

0.04

Minimum skewness among attributes of the numeric type.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

RandomTreeDepth1Kappa

0.5

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

J48.00001.AUC

0.95

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

MaxSkewnessOfNumericAtts

29.62

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

0.06

Minimum standard deviation of attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

352.61

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

0.17

Average class difference between consecutive instances.

RandomTreeDepth2AUC

0.76

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

J48.00001.ErrRate

0.09

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

MaxStdDevOfNumericAtts

21.23

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

1.03

Percentage of instances belonging to the least frequent class.

PercentageOfNumericFeatures

99.99

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

0.04

Third quartile of means among attributes of the numeric type.

CfsSubsetEval_DecisionStumpAUC

0.95

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

RandomTreeDepth2ErrRate

0.41

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

J48.00001.Kappa

0.89

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.

PercentageOfSymbolicFeatures

0.01

Percentage of nominal attributes.

Quartile3MutualInformation

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

CfsSubsetEval_DecisionStumpErrRate

0.09

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

RandomTreeDepth2Kappa

0.5

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

J48.0001.AUC

0.95

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

MeanKurtosisOfNumericAtts

273.42

Mean kurtosis among attributes of the numeric type.

NaiveBayesAUC

0.96

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

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile3SkewnessOfNumericAtts

17.55

Third quartile of skewness among attributes of the numeric type.

CfsSubsetEval_DecisionStumpKappa

0.89

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

CfsSubsetEval_NaiveBayesAUC

0.95

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

0.76

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

J48.0001.ErrRate

0.09

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

MeanMeansOfNumericAtts

0.05

Mean of means among attributes of the numeric type.

NaiveBayesErrRate

0.15

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

Quartile1KurtosisOfNumericAtts

138.94

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

0.37

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

CfsSubsetEval_NaiveBayesErrRate

0.09

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

0.41

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

J48.0001.Kappa

0.89

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

0.82

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

Quartile1MeansOfNumericAtts

0.01

First quartile of means among attributes of the numeric type.

REPTreeDepth1AUC

0.96

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

CfsSubsetEval_NaiveBayesKappa

0.89

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

0.5

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

J48.001.AUC

0.95

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.

Quartile1MutualInformation

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

REPTreeDepth1ErrRate

0.13

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

CfsSubsetEval_kNN1NAUC

0.95

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

0.09

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.

Quartile1SkewnessOfNumericAtts

First quartile of skewness among attributes of the numeric type.

REPTreeDepth1Kappa

0.85

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

REPTreeDepth2AUC

0.96

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

CfsSubsetEval_kNN1NErrRate

0.09

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

0.7

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

J48.001.Kappa

0.89

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

MeanSkewnessOfNumericAtts

14.86

Mean skewness among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

0.09

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

REPTreeDepth2ErrRate

0.13

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

CfsSubsetEval_kNN1NKappa

0.89

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

0.51

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

MajorityClassPercentage

27.68

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

0.39

Mean standard deviation of attributes of the numeric type.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

REPTreeDepth2Kappa

0.85

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

ClassEntropy

2.79

Entropy of the target attribute values.

kNN1NKappa

0.39

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

MajorityClassSize

243

Number of instances belonging to the most frequent class.

MinAttributeEntropy

Minimal entropy among attributes.

Quartile2KurtosisOfNumericAtts

224.62

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

Show all 107 properties

21 tasks

Supervised Classification on tr41.wc

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

Supervised Classification on tr41.wc

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

Supervised Regression on tr41.wc

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: class

Supervised Regression on tr41.wc

0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: class

Supervised Regression on tr41.wc

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class

Supervised Regression on tr41.wc

0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class

Supervised Regression on tr41.wc

0 runs - estimation_procedure: Custom 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class

Supervised Regression on tr41.wc

0 runs - estimation_procedure: Test on Training Data - evaluation_measure: predictive_accuracy - target_feature: class

Supervised Regression on tr41.wc

0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class

Supervised Data Stream Classification on tr41.wc

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

Clustering on tr41.wc