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tr12.wc

active Sparse_ARFF Publicly available Visibility: public Uploaded 28-09-2014 by Joaquin Vanschoren
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5805 features

CLASS_LABEL (target)	nominal	8 unique values 0 missing
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speeche	numeric	4 unique values 0 missing
nad	numeric	3 unique values 0 missing
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deeper	numeric	3 unique values 0 missing
useful	numeric	2 unique values 0 missing
zarya	numeric	3 unique values 0 missing
sk	numeric	2 unique values 0 missing
tangibl	numeric	2 unique values 0 missing
eate	numeric	3 unique values 0 missing
wet	numeric	3 unique values 0 missing
feasibl	numeric	3 unique values 0 missing
berlin	numeric	5 unique values 0 missing
cape	numeric	3 unique values 0 missing
factori	numeric	9 unique values 0 missing
reconstruct	numeric	6 unique values 0 missing
spawn	numeric	3 unique values 0 missing
joint	numeric	15 unique values 0 missing
mountain	numeric	6 unique values 0 missing
love	numeric	4 unique values 0 missing
corn	numeric	3 unique values 0 missing
lesser	numeric	2 unique values 0 missing
stringent	numeric	2 unique values 0 missing
domest	numeric	14 unique values 0 missing
industrialist	numeric	3 unique values 0 missing
music	numeric	4 unique values 0 missing
guerrilla	numeric	3 unique values 0 missing
smooth	numeric	3 unique values 0 missing
forgotten	numeric	3 unique values 0 missing
consciou	numeric	2 unique values 0 missing
excus	numeric	3 unique values 0 missing
malev	numeric	3 unique values 0 missing
septemb	numeric	9 unique values 0 missing
vector	numeric	5 unique values 0 missing
silva	numeric	3 unique values 0 missing
dpa	numeric	3 unique values 0 missing
enact	numeric	3 unique values 0 missing
qualif	numeric	3 unique values 0 missing
march	numeric	12 unique values 0 missing
beyond	numeric	5 unique values 0 missing
effort	numeric	13 unique values 0 missing
formula	numeric	4 unique values 0 missing
victim	numeric	5 unique values 0 missing
comfort	numeric	2 unique values 0 missing
streamlin	numeric	2 unique values 0 missing
requisit	numeric	3 unique values 0 missing
fengyun	numeric	3 unique values 0 missing
beta	numeric	2 unique values 0 missing
secreci	numeric	2 unique values 0 missing
passport	numeric	2 unique values 0 missing
gustavo	numeric	3 unique values 0 missing
retreat	numeric	3 unique values 0 missing
quantit	numeric	3 unique values 0 missing
bnb	numeric	3 unique values 0 missing
plagu	numeric	2 unique values 0 missing
od	numeric	2 unique values 0 missing
adequ	numeric	3 unique values 0 missing
forecast	numeric	5 unique values 0 missing
tuesdai	numeric	4 unique values 0 missing
wiesheu	numeric	3 unique values 0 missing
en	numeric	2 unique values 0 missing
car	numeric	8 unique values 0 missing
forbidden	numeric	2 unique values 0 missing
acknowledg	numeric	4 unique values 0 missing
leisur	numeric	2 unique values 0 missing
ander	numeric	2 unique values 0 missing
gat	numeric	3 unique values 0 missing
monolith	numeric	2 unique values 0 missing
allevi	numeric	2 unique values 0 missing
subscrib	numeric	5 unique values 0 missing
donor	numeric	3 unique values 0 missing
beauti	numeric	3 unique values 0 missing
ancient	numeric	3 unique values 0 missing
estat	numeric	5 unique values 0 missing
orderli	numeric	2 unique values 0 missing
lock	numeric	4 unique values 0 missing
overnight	numeric	2 unique values 0 missing
encrypt	numeric	3 unique values 0 missing
shock	numeric	3 unique values 0 missing
amino	numeric	3 unique values 0 missing
airspac	numeric	4 unique values 0 missing
hitherto	numeric	4 unique values 0 missing
live	numeric	9 unique values 0 missing
grew	numeric	4 unique values 0 missing
amount	numeric	11 unique values 0 missing
wealth	numeric	6 unique values 0 missing
meant	numeric	3 unique values 0 missing
incid	numeric	4 unique values 0 missing
ilbo	numeric	4 unique values 0 missing
multin	numeric	4 unique values 0 missing
wireless	numeric	3 unique values 0 missing
classic	numeric	2 unique values 0 missing
pakistani	numeric	2 unique values 0 missing
necessit	numeric	3 unique values 0 missing
implic	numeric	2 unique values 0 missing
ada	numeric	3 unique values 0 missing
flourish	numeric	3 unique values 0 missing
analog	numeric	4 unique values 0 missing
overlook	numeric	2 unique values 0 missing
stricter	numeric	2 unique values 0 missing
lei	numeric	3 unique values 0 missing
intact	numeric	2 unique values 0 missing
clos	numeric	6 unique values 0 missing
colonel	numeric	4 unique values 0 missing
commut	numeric	3 unique values 0 missing
khz	numeric	4 unique values 0 missing
interrupt	numeric	3 unique values 0 missing
remain	numeric	10 unique values 0 missing
seal	numeric	5 unique values 0 missing
surge	numeric	3 unique values 0 missing
franc	numeric	4 unique values 0 missing
phas	numeric	4 unique values 0 missing
backward	numeric	2 unique values 0 missing
coupl	numeric	4 unique values 0 missing
vietnam	numeric	6 unique values 0 missing
renmin	numeric	3 unique values 0 missing
trail	numeric	3 unique values 0 missing
relianc	numeric	3 unique values 0 missing
sh	numeric	3 unique values 0 missing
confidenti	numeric	2 unique values 0 missing
ave	numeric	3 unique values 0 missing
restaur	numeric	4 unique values 0 missing
waltz	numeric	4 unique values 0 missing
lek	numeric	3 unique values 0 missing
present	numeric	4 unique values 0 missing
advantag	numeric	7 unique values 0 missing
electromagnet	numeric	5 unique values 0 missing
strike	numeric	17 unique values 0 missing
hunt	numeric	4 unique values 0 missing
flame	numeric	2 unique values 0 missing
suppos	numeric	5 unique values 0 missing
deflect	numeric	3 unique values 0 missing
overload	numeric	2 unique values 0 missing
jpr	numeric	5 unique values 0 missing
pravda	numeric	5 unique values 0 missing
wheate	numeric	6 unique values 0 missing
hamper	numeric	2 unique values 0 missing
computer	numeric	4 unique values 0 missing
systemat	numeric	4 unique values 0 missing
afterward	numeric	3 unique values 0 missing
pharmaci	numeric	3 unique values 0 missing
strata	numeric	5 unique values 0 missing
damascu	numeric	4 unique values 0 missing
museum	numeric	4 unique values 0 missing
estonian	numeric	3 unique values 0 missing
bod	numeric	2 unique values 0 missing
bela	numeric	2 unique values 0 missing
abstract	numeric	5 unique values 0 missing
outstand	numeric	4 unique values 0 missing
rai	numeric	5 unique values 0 missing
employ	numeric	6 unique values 0 missing
conflict	numeric	9 unique values 0 missing
et	numeric	4 unique values 0 missing
voivodship	numeric	4 unique values 0 missing
phd	numeric	2 unique values 0 missing
histori	numeric	7 unique values 0 missing
bring	numeric	9 unique values 0 missing
cast	numeric	5 unique values 0 missing
micro	numeric	3 unique values 0 missing
josef	numeric	4 unique values 0 missing
lend	numeric	5 unique values 0 missing
smok	numeric	2 unique values 0 missing
customari	numeric	3 unique values 0 missing
krasnodar	numeric	3 unique values 0 missing
column	numeric	3 unique values 0 missing
sensibl	numeric	3 unique values 0 missing
strive	numeric	5 unique values 0 missing
luka	numeric	3 unique values 0 missing
desk	numeric	4 unique values 0 missing
libyan	numeric	3 unique values 0 missing
hard	numeric	8 unique values 0 missing
prerequisit	numeric	4 unique values 0 missing
vicin	numeric	3 unique values 0 missing
wage	numeric	7 unique values 0 missing
smith	numeric	3 unique values 0 missing
la	numeric	3 unique values 0 missing
couple	numeric	4 unique values 0 missing
quantum	numeric	3 unique values 0 missing
science	numeric	13 unique values 0 missing
reveal	numeric	4 unique values 0 missing
pipelin	numeric	6 unique values 0 missing
expertis	numeric	2 unique values 0 missing
tap	numeric	3 unique values 0 missing
origina;	numeric	3 unique values 0 missing
faith	numeric	4 unique values 0 missing
literatur	numeric	3 unique values 0 missing
multiparti	numeric	3 unique values 0 missing
spiritu	numeric	5 unique values 0 missing
uncondit	numeric	3 unique values 0 missing
singl	numeric	2 unique values 0 missing
vasil	numeric	2 unique values 0 missing
bot	numeric	3 unique values 0 missing
bronze	numeric	2 unique values 0 missing
follow	numeric	16 unique values 0 missing
ballist	numeric	3 unique values 0 missing
invit	numeric	6 unique values 0 missing
temporarili	numeric	3 unique values 0 missing
valid	numeric	4 unique values 0 missing
hence	numeric	3 unique values 0 missing
slightest	numeric	2 unique values 0 missing
observatori	numeric	2 unique values 0 missing
occupi	numeric	6 unique values 0 missing
aerospac	numeric	7 unique values 0 missing
accid	numeric	5 unique values 0 missing
du	numeric	3 unique values 0 missing
antibiot	numeric	4 unique values 0 missing
sleep	numeric	2 unique values 0 missing
toma	numeric	2 unique values 0 missing
highwai	numeric	5 unique values 0 missing
imeni	numeric	3 unique values 0 missing
agenda	numeric	4 unique values 0 missing
bloodi	numeric	3 unique values 0 missing
robert	numeric	2 unique values 0 missing
tension	numeric	4 unique values 0 missing
coin	numeric	3 unique values 0 missing
elderli	numeric	3 unique values 0 missing
liberti	numeric	2 unique values 0 missing
uncertain	numeric	3 unique values 0 missing
strategist	numeric	3 unique values 0 missing
massiv	numeric	5 unique values 0 missing
revision	numeric	4 unique values 0 missing
tribun	numeric	3 unique values 0 missing
phenyl	numeric	2 unique values 0 missing
random	numeric	5 unique values 0 missing
discuss	numeric	10 unique values 0 missing
orbit	numeric	8 unique values 0 missing
caus	numeric	8 unique values 0 missing
sow	numeric	3 unique values 0 missing
spectral	numeric	4 unique values 0 missing
prevail	numeric	4 unique values 0 missing
proud	numeric	2 unique values 0 missing
surplu	numeric	4 unique values 0 missing
decomposit	numeric	2 unique values 0 missing
reward	numeric	3 unique values 0 missing
superpow	numeric	4 unique values 0 missing
civic	numeric	4 unique values 0 missing
tractor	numeric	3 unique values 0 missing
varna	numeric	3 unique values 0 missing
alitalia	numeric	2 unique values 0 missing
cne	numeric	4 unique values 0 missing
shrink	numeric	3 unique values 0 missing
embraer	numeric	3 unique values 0 missing
warn	numeric	6 unique values 0 missing
duplic	numeric	3 unique values 0 missing
nasa	numeric	3 unique values 0 missing
alert	numeric	3 unique values 0 missing
pollut	numeric	5 unique values 0 missing
half	numeric	9 unique values 0 missing
ivanov	numeric	3 unique values 0 missing
even	numeric	5 unique values 0 missing
ss	numeric	5 unique values 0 missing
surrend	numeric	2 unique values 0 missing
probe	numeric	2 unique values 0 missing
closur	numeric	3 unique values 0 missing
polyamid	numeric	4 unique values 0 missing
defector	numeric	3 unique values 0 missing
voter	numeric	5 unique values 0 missing
repai	numeric	5 unique values 0 missing
irena	numeric	2 unique values 0 missing
volunt	numeric	3 unique values 0 missing
thesi	numeric	2 unique values 0 missing
boom	numeric	3 unique values 0 missing
traitor	numeric	4 unique values 0 missing
attach	numeric	6 unique values 0 missing
setback	numeric	2 unique values 0 missing
munich	numeric	3 unique values 0 missing
advers	numeric	3 unique values 0 missing
steer	numeric	2 unique values 0 missing
wrote	numeric	4 unique values 0 missing
reluct	numeric	3 unique values 0 missing
chi	numeric	3 unique values 0 missing
anti	numeric	6 unique values 0 missing
letter	numeric	8 unique values 0 missing
stamp	numeric	3 unique values 0 missing
duesseldorf	numeric	2 unique values 0 missing
see	numeric	3 unique values 0 missing
metalwork	numeric	3 unique values 0 missing
compressor	numeric	3 unique values 0 missing
biotechnolog	numeric	2 unique values 0 missing
imprison	numeric	3 unique values 0 missing
rom	numeric	3 unique values 0 missing
conscious	numeric	3 unique values 0 missing
leaf	numeric	3 unique values 0 missing
cola	numeric	3 unique values 0 missing
boston	numeric	3 unique values 0 missing
urban	numeric	6 unique values 0 missing
precis	numeric	7 unique values 0 missing
convent	numeric	9 unique values 0 missing
bu	numeric	3 unique values 0 missing
readi	numeric	7 unique values 0 missing
branch	numeric	8 unique values 0 missing
editor	numeric	4 unique values 0 missing
crab	numeric	3 unique values 0 missing
com	numeric	5 unique values 0 missing
string	numeric	3 unique values 0 missing
toward	numeric	5 unique values 0 missing
burden	numeric	5 unique values 0 missing
ferment	numeric	5 unique values 0 missing
privaci	numeric	2 unique values 0 missing
cordial	numeric	2 unique values 0 missing
granular	numeric	3 unique values 0 missing
timer	numeric	3 unique values 0 missing
reclam	numeric	2 unique values 0 missing
rabin	numeric	4 unique values 0 missing
unpublish	numeric	2 unique values 0 missing
bar	numeric	3 unique values 0 missing
gatewai	numeric	2 unique values 0 missing
novi	numeric	2 unique values 0 missing
sarajevo	numeric	3 unique values 0 missing
ion	numeric	6 unique values 0 missing
helicopt	numeric	6 unique values 0 missing
southwestern	numeric	2 unique values 0 missing
forth	numeric	4 unique values 0 missing
entitl	numeric	5 unique values 0 missing
nativ	numeric	5 unique values 0 missing
caught	numeric	3 unique values 0 missing
xinhua	numeric	4 unique values 0 missing
weekend	numeric	2 unique values 0 missing
design	numeric	13 unique values 0 missing
recharg	numeric	2 unique values 0 missing
our	numeric	2 unique values 0 missing
recipi	numeric	2 unique values 0 missing
tini	numeric	2 unique values 0 missing
swift	numeric	3 unique values 0 missing
abus	numeric	4 unique values 0 missing
unrestrain	numeric	3 unique values 0 missing
inventori	numeric	2 unique values 0 missing
therebi	numeric	3 unique values 0 missing
inviol	numeric	5 unique values 0 missing
obchodni	numeric	2 unique values 0 missing
rumble	numeric	2 unique values 0 missing
shell	numeric	5 unique values 0 missing
plasmid	numeric	6 unique values 0 missing
photograph	numeric	3 unique values 0 missing
buse	numeric	4 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

313

Number of instances (rows) of the dataset.

NumberOfFeatures

5805

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

5804

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

Quartile2KurtosisOfNumericAtts

100.97

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

REPTreeDepth2Kappa

0.64

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

ClassEntropy

2.77

Entropy of the target attribute values.

kNN1NKappa

0.2

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

MajorityClassSize

Number of instances belonging to the most frequent class.

MinAttributeEntropy

Minimal entropy among attributes.

Quartile2MeansOfNumericAtts

0.05

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

REPTreeDepth3AUC

0.89

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

DecisionStumpAUC

0.69

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

MaxAttributeEntropy

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

-1.85

Minimum kurtosis among attributes of the numeric type.

Quartile2MutualInformation

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

REPTreeDepth3ErrRate

0.29

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

DecisionStumpErrRate

0.61

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

MaxKurtosisOfNumericAtts

313

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

0.01

Minimum of means among attributes of the numeric type.

Quartile2SkewnessOfNumericAtts

10.12

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

REPTreeDepth3Kappa

0.64

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

DecisionStumpKappa

0.19

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

MaxMeansOfNumericAtts

21.39

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

0.36

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

RandomTreeDepth1AUC

0.61

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

Dimensionality

18.55

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

0.65

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

-0.94

Minimum skewness among attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

154.2

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

0.16

Average class difference between consecutive instances.

RandomTreeDepth1Kappa

0.21

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

J48.00001.AUC

0.89

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

MaxSkewnessOfNumericAtts

17.69

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

0.06

Minimum standard deviation of attributes of the numeric type.

PercentageOfNumericFeatures

99.98

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

0.13

Third quartile of means among attributes of the numeric type.

CfsSubsetEval_DecisionStumpAUC

0.91

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

0.61

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

J48.00001.ErrRate

0.23

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

MaxStdDevOfNumericAtts

177.39

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

2.88

Percentage of instances belonging to the least frequent class.

PercentageOfSymbolicFeatures

0.02

Percentage of nominal attributes.

Quartile3MutualInformation

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

CfsSubsetEval_DecisionStumpErrRate

0.21

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

0.65

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

J48.00001.Kappa

0.72

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

11.97

Third quartile of skewness among attributes of the numeric type.

CfsSubsetEval_DecisionStumpKappa

0.75

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

0.21

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

J48.0001.AUC

0.89

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

MeanKurtosisOfNumericAtts

122.33

Mean kurtosis among attributes of the numeric type.

NaiveBayesAUC

0.81

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

Quartile1KurtosisOfNumericAtts

69.6

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

0.87

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

CfsSubsetEval_NaiveBayesAUC

0.91

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

0.61

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

J48.0001.ErrRate

0.23

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

MeanMeansOfNumericAtts

0.17

Mean of means among attributes of the numeric type.

NaiveBayesErrRate

0.43

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

Quartile1MeansOfNumericAtts

0.02

First quartile of means among attributes of the numeric type.

REPTreeDepth1AUC

0.89

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

CfsSubsetEval_NaiveBayesErrRate

0.21

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

0.65

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

J48.0001.Kappa

0.72

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

0.29

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

CfsSubsetEval_NaiveBayesKappa

0.75

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

0.21

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

J48.001.AUC

0.89

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.

Quartile1SkewnessOfNumericAtts

7.86

First quartile of skewness among attributes of the numeric type.

REPTreeDepth1Kappa

0.64

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

CfsSubsetEval_kNN1NAUC

0.91

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

0.23

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

0.18

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

REPTreeDepth2AUC

0.89

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

CfsSubsetEval_kNN1NErrRate

0.21

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

0.6

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

J48.001.Kappa

0.72

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

MeanSkewnessOfNumericAtts

10.2

Mean skewness among attributes of the numeric type.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

REPTreeDepth2ErrRate

0.29

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

CfsSubsetEval_kNN1NKappa

0.75

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

0.65

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

MajorityClassPercentage

29.71

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

1.15

Mean standard deviation of attributes of the numeric type.

Show all 107 properties

21 tasks

Supervised Classification on tr12.wc

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

Supervised Classification on tr12.wc

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

Supervised Regression on tr12.wc

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

Supervised Regression on tr12.wc

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

Supervised Regression on tr12.wc

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

Supervised Regression on tr12.wc

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

Supervised Regression on tr12.wc

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

Supervised Regression on tr12.wc

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

Supervised Regression on tr12.wc

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

Supervised Data Stream Classification on tr12.wc

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

Clustering on tr12.wc