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tr23.wc

active Sparse_ARFF Publicly available Visibility: public Uploaded 28-09-2014 by Felicia West
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5833 features

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certif	numeric	6 unique values 0 missing
partnership	numeric	9 unique values 0 missing
completion	numeric	7 unique values 0 missing
meeker	numeric	3 unique values 0 missing
sav	numeric	13 unique values 0 missing
emiss	numeric	13 unique values 0 missing
question	numeric	22 unique values 0 missing
satisfactorili	numeric	2 unique values 0 missing
photovolta	numeric	5 unique values 0 missing
chief	numeric	8 unique values 0 missing
noncompetit	numeric	2 unique values 0 missing
profit	numeric	8 unique values 0 missing
fuel	numeric	20 unique values 0 missing
object	numeric	15 unique values 0 missing
mix	numeric	5 unique values 0 missing
regard	numeric	15 unique values 0 missing
golden	numeric	5 unique values 0 missing
caus	numeric	11 unique values 0 missing
shift	numeric	8 unique values 0 missing
blvd	numeric	2 unique values 0 missing
specialist	numeric	3 unique values 0 missing
expenditur	numeric	12 unique values 0 missing
clean	numeric	10 unique values 0 missing
lewi	numeric	17 unique values 0 missing
convers	numeric	7 unique values 0 missing
review	numeric	12 unique values 0 missing
clinton	numeric	14 unique values 0 missing
procur	numeric	11 unique values 0 missing
simpli	numeric	16 unique values 0 missing
market	numeric	20 unique values 0 missing
cole	numeric	2 unique values 0 missing
deficit	numeric	19 unique values 0 missing
fil	numeric	5 unique values 0 missing
renew	numeric	12 unique values 0 missing
climat	numeric	5 unique values 0 missing
sw	numeric	3 unique values 0 missing
biomass	numeric	4 unique values 0 missing
headquart	numeric	6 unique values 0 missing
submit	numeric	14 unique values 0 missing
fr	numeric	5 unique values 0 missing
wast	numeric	5 unique values 0 missing
ad	numeric	17 unique values 0 missing
convent	numeric	7 unique values 0 missing
discretionari	numeric	12 unique values 0 missing
doctitl	numeric	2 unique values 0 missing
warm	numeric	5 unique values 0 missing
centerpiec	numeric	3 unique values 0 missing
issu	numeric	8 unique values 0 missing
summari	numeric	5 unique values 0 missing
annual	numeric	13 unique values 0 missing
nonprofit	numeric	5 unique values 0 missing
anticip	numeric	8 unique values 0 missing
strong	numeric	14 unique values 0 missing
refin	numeric	4 unique values 0 missing
yield	numeric	26 unique values 0 missing
supplementari	numeric	3 unique values 0 missing
defens	numeric	19 unique values 0 missing
please	numeric	8 unique values 0 missing
satisfi	numeric	5 unique values 0 missing
criteria	numeric	6 unique values 0 missing
philippin	numeric	6 unique values 0 missing
contact	numeric	5 unique values 0 missing
initi	numeric	18 unique values 0 missing
minim	numeric	6 unique values 0 missing
signer	numeric	2 unique values 0 missing
reduc	numeric	19 unique values 0 missing
financi	numeric	14 unique values 0 missing
doc	numeric	3 unique values 0 missing
introduc	numeric	9 unique values 0 missing
assist	numeric	24 unique values 0 missing
epa	numeric	9 unique values 0 missing
absorpt	numeric	2 unique values 0 missing
run	numeric	12 unique values 0 missing
frfil	numeric	2 unique values 0 missing
enabl	numeric	8 unique values 0 missing
solicit	numeric	5 unique values 0 missing
pacif	numeric	5 unique values 0 missing
award	numeric	11 unique values 0 missing
vote	numeric	23 unique values 0 missing
giv	numeric	7 unique values 0 missing
relat	numeric	20 unique values 0 missing
wherev	numeric	3 unique values 0 missing
pursu	numeric	6 unique values 0 missing
congress	numeric	29 unique values 0 missing
suppress	numeric	4 unique values 0 missing
save	numeric	12 unique values 0 missing
unsolicit	numeric	3 unique values 0 missing
signjob	numeric	2 unique values 0 missing
ventur	numeric	6 unique values 0 missing
util	numeric	10 unique values 0 missing
pursuant	numeric	16 unique values 0 missing
account	numeric	19 unique values 0 missing
meritori	numeric	4 unique values 0 missing
focal	numeric	2 unique values 0 missing
cosponsor	numeric	6 unique values 0 missing
scot	numeric	9 unique values 0 missing
realign	numeric	6 unique values 0 missing
prioriti	numeric	16 unique values 0 missing
household	numeric	6 unique values 0 missing
spur	numeric	4 unique values 0 missing
central	numeric	13 unique values 0 missing
worthi	numeric	7 unique values 0 missing
rule	numeric	21 unique values 0 missing
notic	numeric	10 unique values 0 missing
establish	numeric	17 unique values 0 missing
placem	numeric	3 unique values 0 missing
amp	numeric	11 unique values 0 missing
announc	numeric	13 unique values 0 missing
emit	numeric	2 unique values 0 missing
immin	numeric	2 unique values 0 missing
straw	numeric	3 unique values 0 missing
brake	numeric	4 unique values 0 missing
punish	numeric	5 unique values 0 missing
discontinu	numeric	2 unique values 0 missing
ironi	numeric	3 unique values 0 missing
see	numeric	6 unique values 0 missing
rich	numeric	5 unique values 0 missing
rice	numeric	3 unique values 0 missing
calendar	numeric	5 unique values 0 missing
aforement	numeric	3 unique values 0 missing
typic	numeric	4 unique values 0 missing
stationari	numeric	3 unique values 0 missing
restrict	numeric	12 unique values 0 missing
residu	numeric	5 unique values 0 missing
mention	numeric	11 unique values 0 missing
prescrib	numeric	5 unique values 0 missing
forc	numeric	9 unique values 0 missing
remiss	numeric	3 unique values 0 missing
stronger	numeric	6 unique values 0 missing
surprisingli	numeric	3 unique values 0 missing
kid	numeric	7 unique values 0 missing
appli	numeric	13 unique values 0 missing
charge	numeric	10 unique values 0 missing
sacramento	numeric	6 unique values 0 missing
co	numeric	7 unique values 0 missing
recreat	numeric	4 unique values 0 missing
charg	numeric	6 unique values 0 missing
defend	numeric	8 unique values 0 missing
cry	numeric	4 unique values 0 missing
scrutini	numeric	5 unique values 0 missing
psychiatr	numeric	3 unique values 0 missing
valu	numeric	4 unique values 0 missing
terribli	numeric	3 unique values 0 missing
drought	numeric	5 unique values 0 missing
jewel	numeric	2 unique values 0 missing
civil	numeric	11 unique values 0 missing
toler	numeric	5 unique values 0 missing
wishe	numeric	5 unique values 0 missing
childhood	numeric	5 unique values 0 missing
consent	numeric	11 unique values 0 missing
scenic	numeric	3 unique values 0 missing
shock	numeric	4 unique values 0 missing
handicap	numeric	4 unique values 0 missing
mcdermot	numeric	7 unique values 0 missing
multiag	numeric	3 unique values 0 missing
dy	numeric	2 unique values 0 missing
incred	numeric	5 unique values 0 missing
friendship	numeric	5 unique values 0 missing
undue	numeric	3 unique values 0 missing
ill	numeric	7 unique values 0 missing
carter	numeric	3 unique values 0 missing
anguish	numeric	2 unique values 0 missing
marrow	numeric	3 unique values 0 missing
innumer	numeric	2 unique values 0 missing
seller	numeric	4 unique values 0 missing
promin	numeric	4 unique values 0 missing
traumat	numeric	3 unique values 0 missing
admiss	numeric	6 unique values 0 missing
unpreced	numeric	5 unique values 0 missing
pit	numeric	3 unique values 0 missing
nourish	numeric	3 unique values 0 missing
cure	numeric	4 unique values 0 missing
consciou	numeric	3 unique values 0 missing
magnific	numeric	3 unique values 0 missing
bicker	numeric	3 unique values 0 missing
enemi	numeric	7 unique values 0 missing
interf	numeric	2 unique values 0 missing
elector	numeric	2 unique values 0 missing
strain	numeric	4 unique values 0 missing
sanctuari	numeric	4 unique values 0 missing
silver	numeric	4 unique values 0 missing
steam	numeric	4 unique values 0 missing
retire	numeric	3 unique values 0 missing
nixon	numeric	3 unique values 0 missing
chronic	numeric	3 unique values 0 missing
ought	numeric	15 unique values 0 missing
grade	numeric	6 unique values 0 missing
renown	numeric	2 unique values 0 missing
cochair	numeric	2 unique values 0 missing
slip	numeric	4 unique values 0 missing
lugo	numeric	6 unique values 0 missing
misunderstand	numeric	4 unique values 0 missing
nonsens	numeric	3 unique values 0 missing
envoi	numeric	3 unique values 0 missing
horror	numeric	3 unique values 0 missing
counter	numeric	4 unique values 0 missing
regain	numeric	3 unique values 0 missing
terrifi	numeric	2 unique values 0 missing
dod	numeric	5 unique values 0 missing
seriou	numeric	13 unique values 0 missing
coauthor	numeric	2 unique values 0 missing
injustic	numeric	2 unique values 0 missing
irrepar	numeric	2 unique values 0 missing
rancher	numeric	4 unique values 0 missing
differenti	numeric	6 unique values 0 missing
inspir	numeric	5 unique values 0 missing
terribl	numeric	8 unique values 0 missing
waterwai	numeric	4 unique values 0 missing
interchang	numeric	4 unique values 0 missing
spoken	numeric	5 unique values 0 missing
surveill	numeric	2 unique values 0 missing
perk	numeric	2 unique values 0 missing
infant	numeric	5 unique values 0 missing
secret	numeric	5 unique values 0 missing
denial	numeric	4 unique values 0 missing
ardent	numeric	3 unique values 0 missing
compassion	numeric	5 unique values 0 missing
steward	numeric	3 unique values 0 missing
yugoslavia	numeric	4 unique values 0 missing
tougher	numeric	3 unique values 0 missing
lengthi	numeric	3 unique values 0 missing
repeat	numeric	5 unique values 0 missing
disciplin	numeric	6 unique values 0 missing
repaid	numeric	3 unique values 0 missing
naval	numeric	7 unique values 0 missing
judgment	numeric	6 unique values 0 missing
disagr	numeric	7 unique values 0 missing
jose	numeric	2 unique values 0 missing
gut	numeric	4 unique values 0 missing
noteworthi	numeric	2 unique values 0 missing
raini	numeric	4 unique values 0 missing
lui	numeric	3 unique values 0 missing
peer	numeric	4 unique values 0 missing
troublesom	numeric	2 unique values 0 missing
clarifi	numeric	4 unique values 0 missing
enforc	numeric	16 unique values 0 missing
pervas	numeric	3 unique values 0 missing
peacetim	numeric	3 unique values 0 missing
notabl	numeric	4 unique values 0 missing
john	numeric	6 unique values 0 missing
partial	numeric	5 unique values 0 missing
campaign	numeric	6 unique values 0 missing
result	numeric	21 unique values 0 missing
intern	numeric	16 unique values 0 missing
bill	numeric	31 unique values 0 missing
appreci	numeric	15 unique values 0 missing
act	numeric	29 unique values 0 missing
greenhous	numeric	4 unique values 0 missing
quarter	numeric	8 unique values 0 missing
stockpil	numeric	4 unique values 0 missing
stick	numeric	5 unique values 0 missing
applianc	numeric	6 unique values 0 missing
megawat	numeric	3 unique values 0 missing
morella	numeric	8 unique values 0 missing
consist	numeric	12 unique values 0 missing
realloc	numeric	5 unique values 0 missing
proven	numeric	7 unique values 0 missing
shown	numeric	7 unique values 0 missing
basic	numeric	15 unique values 0 missing
applic	numeric	15 unique values 0 missing
propuls	numeric	4 unique values 0 missing
install	numeric	8 unique values 0 missing
commit	numeric	14 unique values 0 missing
ethanol	numeric	5 unique values 0 missing
technolog	numeric	7 unique values 0 missing
product	numeric	17 unique values 0 missing
equival	numeric	7 unique values 0 missing
urg	numeric	4 unique values 0 missing
taxpay	numeric	14 unique values 0 missing
output	numeric	5 unique values 0 missing
spend	numeric	22 unique values 0 missing
feasibl	numeric	6 unique values 0 missing
consum	numeric	19 unique values 0 missing
suppli	numeric	14 unique values 0 missing
depend	numeric	11 unique values 0 missing
resolut	numeric	18 unique values 0 missing
m	numeric	17 unique values 0 missing
meet	numeric	17 unique values 0 missing
emphasi	numeric	5 unique values 0 missing
vehicl	numeric	21 unique values 0 missing
action	numeric	18 unique values 0 missing
varieti	numeric	5 unique values 0 missing
seate	numeric	6 unique values 0 missing
dollar	numeric	24 unique values 0 missing
doe	numeric	8 unique values 0 missing
philip	numeric	3 unique values 0 missing
hunt	numeric	3 unique values 0 missing
individu	numeric	19 unique values 0 missing
bob	numeric	4 unique values 0 missing
concentr	numeric	5 unique values 0 missing
dar	numeric	3 unique values 0 missing
coordin	numeric	6 unique values 0 missing
everydai	numeric	3 unique values 0 missing
tech	numeric	7 unique values 0 missing
one	numeric	7 unique values 0 missing
dan	numeric	5 unique values 0 missing
join	numeric	13 unique values 0 missing
themselv	numeric	9 unique values 0 missing
tree	numeric	5 unique values 0 missing
dai	numeric	18 unique values 0 missing
exist	numeric	18 unique values 0 missing
robin	numeric	3 unique values 0 missing
orang	numeric	5 unique values 0 missing
lesson	numeric	4 unique values 0 missing
widespread	numeric	5 unique values 0 missing
resourc	numeric	19 unique values 0 missing
american	numeric	26 unique values 0 missing
video	numeric	2 unique values 0 missing
communist	numeric	5 unique values 0 missing
ii	numeric	13 unique values 0 missing
prais	numeric	2 unique values 0 missing
princip	numeric	8 unique values 0 missing
forth	numeric	9 unique values 0 missing
enjoi	numeric	6 unique values 0 missing
worse	numeric	6 unique values 0 missing
summer	numeric	6 unique values 0 missing
disord	numeric	3 unique values 0 missing
unusu	numeric	4 unique values 0 missing
histori	numeric	12 unique values 0 missing
ga	numeric	17 unique values 0 missing
salut	numeric	5 unique values 0 missing
even	numeric	6 unique values 0 missing
truli	numeric	10 unique values 0 missing
foundat	numeric	10 unique values 0 missing
insid	numeric	5 unique values 0 missing
indemn	numeric	4 unique values 0 missing
export	numeric	11 unique values 0 missing
merge	numeric	2 unique values 0 missing
tout	numeric	3 unique values 0 missing
mental	numeric	4 unique values 0 missing
bonus	numeric	3 unique values 0 missing
distinct	numeric	5 unique values 0 missing
interfer	numeric	6 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

204

Number of instances (rows) of the dataset.

NumberOfFeatures

5833

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

5832

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

AutoCorrelation

0.24

Average class difference between consecutive instances.

CfsSubsetEval_DecisionStumpAUC

0.9

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

CfsSubsetEval_DecisionStumpErrRate

0.16

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

CfsSubsetEval_DecisionStumpKappa

0.77

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

0.9

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

CfsSubsetEval_NaiveBayesErrRate

0.16

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

CfsSubsetEval_NaiveBayesKappa

0.77

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

CfsSubsetEval_kNN1NAUC

0.9

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

CfsSubsetEval_kNN1NErrRate

0.16

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

CfsSubsetEval_kNN1NKappa

0.77

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

ClassEntropy

2.1

Entropy of the target attribute values.

DecisionStumpAUC

0.83

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

DecisionStumpErrRate

0.37

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

DecisionStumpKappa

0.46

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

Dimensionality

28.59

Number of attributes divided by the number of instances.

EquivalentNumberOfAtts

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

J48.00001.AUC

0.89

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

J48.00001.ErrRate

0.16

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

J48.00001.Kappa

0.77

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

J48.0001.AUC

0.89

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

J48.0001.ErrRate

0.16

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

J48.0001.Kappa

0.77

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

J48.001.AUC

0.89

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

J48.001.ErrRate

0.16

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

J48.001.Kappa

0.77

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

MajorityClassPercentage

44.61

Percentage of instances belonging to the most frequent class.

MajorityClassSize

Number of instances belonging to the most frequent class.

MaxAttributeEntropy

Maximum entropy among attributes.

MaxKurtosisOfNumericAtts

204

Maximum kurtosis among attributes of the numeric type.

MaxMeansOfNumericAtts

59.61

Maximum of means among attributes of the numeric type.

MaxMutualInformation

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

MaxNominalAttDistinctValues

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

MaxSkewnessOfNumericAtts

14.28

Maximum skewness among attributes of the numeric type.

MaxStdDevOfNumericAtts

232.07

Maximum standard deviation of attributes of the numeric type.

MeanAttributeEntropy

Average entropy of the attributes.

MeanKurtosisOfNumericAtts

79.93

Mean kurtosis among attributes of the numeric type.

MeanMeansOfNumericAtts

0.41

Mean of means among attributes of the numeric type.

MeanMutualInformation

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

MeanNoiseToSignalRatio

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

MeanNominalAttDistinctValues

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

MeanSkewnessOfNumericAtts

8.24

Mean skewness among attributes of the numeric type.

MeanStdDevOfNumericAtts

2.16

Mean standard deviation of attributes of the numeric type.

MinAttributeEntropy

Minimal entropy among attributes.

MinKurtosisOfNumericAtts

-1.96

Minimum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

0.01

Minimum of means among attributes of the numeric type.

MinMutualInformation

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

MinNominalAttDistinctValues

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

MinSkewnessOfNumericAtts

-0.42

Minimum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

0.12

Minimum standard deviation of attributes of the numeric type.

MinorityClassPercentage

2.94

Percentage of instances belonging to the least frequent class.

MinorityClassSize

Number of instances belonging to the least frequent class.

NaiveBayesAUC

0.74

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

NaiveBayesErrRate

0.48

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

NaiveBayesKappa

0.41

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

NumberOfBinaryFeatures

Number of binary attributes.

PercentageOfBinaryFeatures

Percentage of binary attributes.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

PercentageOfMissingValues

Percentage of missing values.

PercentageOfNumericFeatures

99.98

Percentage of numeric attributes.

PercentageOfSymbolicFeatures

0.02

Percentage of nominal attributes.

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile1KurtosisOfNumericAtts

46.4

First quartile of kurtosis among attributes of the numeric type.

Quartile1MeansOfNumericAtts

0.03

First quartile of means among attributes of the numeric type.

Quartile1MutualInformation

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

Quartile1SkewnessOfNumericAtts

6.38

First quartile of skewness among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

0.25

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

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

Quartile2KurtosisOfNumericAtts

66.15

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

Quartile2MeansOfNumericAtts

0.09

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

Quartile2MutualInformation

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

Quartile2SkewnessOfNumericAtts

8.12

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

Quartile2StdDevOfNumericAtts

0.57

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

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

Quartile3KurtosisOfNumericAtts

100.77

Third quartile of kurtosis among attributes of the numeric type.

Quartile3MeansOfNumericAtts

0.29

Third quartile of means among attributes of the numeric type.

Quartile3MutualInformation

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

Quartile3SkewnessOfNumericAtts

9.64

Third quartile of skewness among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

1.51

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

REPTreeDepth1AUC

0.93

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

REPTreeDepth1ErrRate

0.18

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

REPTreeDepth1Kappa

0.75

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

REPTreeDepth2AUC

0.93

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

REPTreeDepth2ErrRate

0.18

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

REPTreeDepth2Kappa

0.75

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

REPTreeDepth3AUC

0.93

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

REPTreeDepth3ErrRate

0.18

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

REPTreeDepth3Kappa

0.75

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

RandomTreeDepth1AUC

0.67

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

RandomTreeDepth1ErrRate

0.49

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

RandomTreeDepth1Kappa

0.32

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

RandomTreeDepth2AUC

0.67

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

RandomTreeDepth2ErrRate

0.49

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

RandomTreeDepth2Kappa

0.32

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

RandomTreeDepth3AUC

0.67

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

RandomTreeDepth3ErrRate

0.49

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

RandomTreeDepth3Kappa

0.32

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

StdvNominalAttDistinctValues

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

kNN1NAUC

0.57

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

kNN1NErrRate

0.5

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

kNN1NKappa

0.17

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

Show all 107 properties

21 tasks

Supervised Classification on tr23.wc

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

Supervised Classification on tr23.wc

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

Supervised Regression on tr23.wc

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

Supervised Regression on tr23.wc

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

Supervised Regression on tr23.wc

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

Supervised Regression on tr23.wc

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

Supervised Regression on tr23.wc

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

Supervised Regression on tr23.wc

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

Supervised Regression on tr23.wc

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

Supervised Data Stream Classification on tr23.wc

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

Clustering on tr23.wc

0 runs

Clustering on tr23.wc