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tr45.wc

active Sparse_ARFF Publicly available Visibility: public Uploaded 28-09-2014 by Joaquin Vanschoren
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8262 features

CLASS_LABEL (target)	nominal	10 unique values 0 missing
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ping	numeric	3 unique values 0 missing
anonym	numeric	3 unique values 0 missing
salabl	numeric	2 unique values 0 missing
herdsmen	numeric	5 unique values 0 missing
correl	numeric	4 unique values 0 missing
proportion	numeric	2 unique values 0 missing
programmat	numeric	3 unique values 0 missing
upright	numeric	3 unique values 0 missing
prove	numeric	4 unique values 0 missing
withdrawn	numeric	4 unique values 0 missing
lehman	numeric	2 unique values 0 missing
tamil	numeric	3 unique values 0 missing
narrow	numeric	5 unique values 0 missing
amaz	numeric	2 unique values 0 missing
martin	numeric	5 unique values 0 missing
lightli	numeric	3 unique values 0 missing
flotat	numeric	5 unique values 0 missing
vari	numeric	5 unique values 0 missing
degree	numeric	11 unique values 0 missing
medica	numeric	2 unique values 0 missing
intestin	numeric	4 unique values 0 missing
violenc	numeric	5 unique values 0 missing
tuberculosi	numeric	2 unique values 0 missing
chz	numeric	2 unique values 0 missing
blue	numeric	5 unique values 0 missing
iraqi	numeric	4 unique values 0 missing
sandimmun	numeric	2 unique values 0 missing
gentle	numeric	2 unique values 0 missing
fetu	numeric	4 unique values 0 missing
preserv	numeric	10 unique values 0 missing
fluid	numeric	5 unique values 0 missing
bachelor	numeric	2 unique values 0 missing
madrid	numeric	4 unique values 0 missing
patriot	numeric	8 unique values 0 missing
obliqu	numeric	2 unique values 0 missing
cherish	numeric	4 unique values 0 missing
overfulfil	numeric	2 unique values 0 missing
reflector	numeric	3 unique values 0 missing
touche	numeric	2 unique values 0 missing
tense	numeric	3 unique values 0 missing
ma	numeric	4 unique values 0 missing
scrutini	numeric	2 unique values 0 missing
groundwork	numeric	2 unique values 0 missing
ordin	numeric	4 unique values 0 missing
buddhist	numeric	2 unique values 0 missing
select	numeric	11 unique values 0 missing
driver	numeric	5 unique values 0 missing
sensibli	numeric	2 unique values 0 missing
decept	numeric	4 unique values 0 missing
geograph	numeric	6 unique values 0 missing
comp	numeric	3 unique values 0 missing
assault	numeric	5 unique values 0 missing
manipul	numeric	4 unique values 0 missing
synthet	numeric	5 unique values 0 missing
nobel	numeric	3 unique values 0 missing
vacation	numeric	3 unique values 0 missing
wire	numeric	6 unique values 0 missing
rough	numeric	3 unique values 0 missing
slipperi	numeric	3 unique values 0 missing
fulfill	numeric	12 unique values 0 missing
uc	numeric	2 unique values 0 missing
cathol	numeric	3 unique values 0 missing
foam	numeric	4 unique values 0 missing
escort	numeric	3 unique values 0 missing
tam	numeric	3 unique values 0 missing
ufm	numeric	3 unique values 0 missing
civilian	numeric	10 unique values 0 missing
prerog	numeric	2 unique values 0 missing
functionari	numeric	5 unique values 0 missing
rebuilt	numeric	2 unique values 0 missing
analyt	numeric	3 unique values 0 missing
radiometr	numeric	2 unique values 0 missing
influenti	numeric	4 unique values 0 missing
dexter	numeric	2 unique values 0 missing
independ	numeric	12 unique values 0 missing
copyright	numeric	3 unique values 0 missing
remedi	numeric	3 unique values 0 missing
perfectli	numeric	3 unique values 0 missing
canari	numeric	4 unique values 0 missing
certif	numeric	7 unique values 0 missing
assess	numeric	9 unique values 0 missing
jam	numeric	5 unique values 0 missing
refer	numeric	9 unique values 0 missing
nec	numeric	4 unique values 0 missing
handsom	numeric	2 unique values 0 missing
banker	numeric	5 unique values 0 missing
monthli	numeric	7 unique values 0 missing
introduct	numeric	9 unique values 0 missing
militia	numeric	3 unique values 0 missing
fax	numeric	4 unique values 0 missing
carbon	numeric	7 unique values 0 missing
jerk	numeric	2 unique values 0 missing
orphan	numeric	4 unique values 0 missing
gui	numeric	3 unique values 0 missing
titan	numeric	3 unique values 0 missing
motherland	numeric	6 unique values 0 missing
allot	numeric	6 unique values 0 missing
veterinari	numeric	3 unique values 0 missing
nosocomi	numeric	2 unique values 0 missing
unattribut	numeric	2 unique values 0 missing
finnish	numeric	4 unique values 0 missing
xin	numeric	3 unique values 0 missing
tibet	numeric	5 unique values 0 missing
unus	numeric	3 unique values 0 missing
equilibrium	numeric	4 unique values 0 missing
reclam	numeric	3 unique values 0 missing
household	numeric	12 unique values 0 missing
heseltin	numeric	2 unique values 0 missing
paper	numeric	11 unique values 0 missing
decreas	numeric	9 unique values 0 missing
lanka	numeric	4 unique values 0 missing
swell	numeric	3 unique values 0 missing
spokesman	numeric	10 unique values 0 missing
born	numeric	4 unique values 0 missing
admir	numeric	4 unique values 0 missing
project	numeric	37 unique values 0 missing
viabil	numeric	3 unique values 0 missing
devis	numeric	2 unique values 0 missing
abroad	numeric	11 unique values 0 missing
releas	numeric	9 unique values 0 missing
educ	numeric	29 unique values 0 missing
ix	numeric	2 unique values 0 missing
sai	numeric	6 unique values 0 missing
confectioneri	numeric	3 unique values 0 missing
champion	numeric	3 unique values 0 missing
nation	numeric	38 unique values 0 missing
vacant	numeric	2 unique values 0 missing
evapor	numeric	3 unique values 0 missing
disturb	numeric	3 unique values 0 missing
curi	numeric	4 unique values 0 missing
auster	numeric	2 unique values 0 missing
rica	numeric	3 unique values 0 missing
hung	numeric	3 unique values 0 missing
hungarian	numeric	9 unique values 0 missing
mao	numeric	5 unique values 0 missing
da	numeric	4 unique values 0 missing
scholar	numeric	2 unique values 0 missing
bipolar	numeric	4 unique values 0 missing
jaeri	numeric	4 unique values 0 missing
duo	numeric	2 unique values 0 missing
turbo	numeric	2 unique values 0 missing
geologist	numeric	3 unique values 0 missing
consol	numeric	3 unique values 0 missing
colombo	numeric	4 unique values 0 missing
breath	numeric	4 unique values 0 missing
brittle	numeric	3 unique values 0 missing
relev	numeric	7 unique values 0 missing
bring	numeric	17 unique values 0 missing
surpris	numeric	7 unique values 0 missing
health	numeric	20 unique values 0 missing
prime	numeric	9 unique values 0 missing
shimbun	numeric	3 unique values 0 missing
daili	numeric	12 unique values 0 missing
automot	numeric	7 unique values 0 missing
inalien	numeric	4 unique values 0 missing
promotion	numeric	10 unique values 0 missing
superconduct	numeric	4 unique values 0 missing
holi	numeric	4 unique values 0 missing
reinvest	numeric	3 unique values 0 missing
dna	numeric	4 unique values 0 missing
tashkent	numeric	4 unique values 0 missing
torpedo	numeric	5 unique values 0 missing
tac	numeric	2 unique values 0 missing
debtor	numeric	4 unique values 0 missing
litvinov	numeric	3 unique values 0 missing
upstream	numeric	3 unique values 0 missing
staunch	numeric	3 unique values 0 missing
argentin	numeric	3 unique values 0 missing
overview	numeric	3 unique values 0 missing
enemi	numeric	6 unique values 0 missing
turtle	numeric	5 unique values 0 missing
venue	numeric	2 unique values 0 missing
peripheri	numeric	2 unique values 0 missing
bark	numeric	2 unique values 0 missing
exploit	numeric	10 unique values 0 missing
maximum	numeric	10 unique values 0 missing
chop	numeric	2 unique values 0 missing
physician	numeric	8 unique values 0 missing
nutrition	numeric	4 unique values 0 missing
defin	numeric	9 unique values 0 missing
treatment	numeric	13 unique values 0 missing
elem	numeric	10 unique values 0 missing
asia	numeric	9 unique values 0 missing
section	numeric	11 unique values 0 missing
rare	numeric	7 unique values 0 missing
remov	numeric	11 unique values 0 missing
iron	numeric	8 unique values 0 missing
vacat	numeric	4 unique values 0 missing
ulcer	numeric	3 unique values 0 missing
reshap	numeric	3 unique values 0 missing
fatal	numeric	4 unique values 0 missing
patent	numeric	7 unique values 0 missing
segment	numeric	4 unique values 0 missing
character	numeric	6 unique values 0 missing
dive	numeric	5 unique values 0 missing
komsomolet	numeric	6 unique values 0 missing
craft	numeric	5 unique values 0 missing
vaclav	numeric	7 unique values 0 missing
vladimir	numeric	6 unique values 0 missing
confidenti	numeric	2 unique values 0 missing
clad	numeric	3 unique values 0 missing
xinjiang	numeric	5 unique values 0 missing
kiev	numeric	6 unique values 0 missing
interceptor	numeric	3 unique values 0 missing
antarctica	numeric	4 unique values 0 missing
punch	numeric	3 unique values 0 missing
let	numeric	4 unique values 0 missing
distributor	numeric	6 unique values 0 missing
abnorma;	numeric	3 unique values 0 missing
hedge	numeric	3 unique values 0 missing
vomit	numeric	2 unique values 0 missing
neg	numeric	6 unique values 0 missing
choice	numeric	7 unique values 0 missing
profit	numeric	18 unique values 0 missing
chairman	numeric	12 unique values 0 missing
event	numeric	9 unique values 0 missing
suppos	numeric	3 unique values 0 missing
lt	numeric	3 unique values 0 missing
week	numeric	10 unique values 0 missing
infrastructur	numeric	13 unique values 0 missing
detriment	numeric	3 unique values 0 missing
provok	numeric	3 unique values 0 missing
orbit	numeric	8 unique values 0 missing
folklor	numeric	3 unique values 0 missing
explain	numeric	6 unique values 0 missing
trademark	numeric	3 unique values 0 missing
entitl	numeric	4 unique values 0 missing
motel	numeric	3 unique values 0 missing
reconnaiss	numeric	7 unique values 0 missing
coil	numeric	3 unique values 0 missing
humidifi	numeric	3 unique values 0 missing
slogan	numeric	3 unique values 0 missing
cesium	numeric	5 unique values 0 missing
wood	numeric	11 unique values 0 missing
banner	numeric	2 unique values 0 missing
meager	numeric	2 unique values 0 missing
subscript	numeric	2 unique values 0 missing
agrotechniqu	numeric	3 unique values 0 missing
portal	numeric	4 unique values 0 missing
arm	numeric	20 unique values 0 missing
unesco	numeric	4 unique values 0 missing
behalf	numeric	5 unique values 0 missing
mishap	numeric	2 unique values 0 missing
superior	numeric	7 unique values 0 missing
ident	numeric	4 unique values 0 missing
extra	numeric	6 unique values 0 missing
activ	numeric	27 unique values 0 missing
allegedli	numeric	4 unique values 0 missing
fit	numeric	5 unique values 0 missing
taxat	numeric	9 unique values 0 missing
decai	numeric	4 unique values 0 missing
convent	numeric	11 unique values 0 missing
shut	numeric	4 unique values 0 missing
prosecutor	numeric	6 unique values 0 missing
expens	numeric	12 unique values 0 missing
birthdai	numeric	4 unique values 0 missing
hillsborough	numeric	3 unique values 0 missing
gener	numeric	15 unique values 0 missing
frustrat	numeric	3 unique values 0 missing
speeche	numeric	3 unique values 0 missing
laguna	numeric	3 unique values 0 missing
walk	numeric	3 unique values 0 missing
compact	numeric	4 unique values 0 missing
migrant	numeric	4 unique values 0 missing
josef	numeric	5 unique values 0 missing
predomin	numeric	4 unique values 0 missing
inadmiss	numeric	2 unique values 0 missing
socioeconom	numeric	6 unique values 0 missing
necessit	numeric	4 unique values 0 missing
ali	numeric	3 unique values 0 missing
jute	numeric	2 unique values 0 missing
separat	numeric	5 unique values 0 missing
legal	numeric	19 unique values 0 missing
predecessor	numeric	4 unique values 0 missing
ecosystem	numeric	4 unique values 0 missing
goldemberg	numeric	3 unique values 0 missing
stimuli	numeric	2 unique values 0 missing
drift	numeric	3 unique values 0 missing
await	numeric	4 unique values 0 missing
below	numeric	8 unique values 0 missing
board	numeric	11 unique values 0 missing
pub	numeric	4 unique values 0 missing
compet	numeric	7 unique values 0 missing
environmentalist	numeric	5 unique values 0 missing
sometim	numeric	7 unique values 0 missing
greek	numeric	7 unique values 0 missing
burial	numeric	2 unique values 0 missing
harm	numeric	7 unique values 0 missing
surcharg	numeric	4 unique values 0 missing
bland	numeric	3 unique values 0 missing
rhone	numeric	4 unique values 0 missing
chri	numeric	3 unique values 0 missing
sect	numeric	3 unique values 0 missing
revalu	numeric	2 unique values 0 missing
rubric	numeric	2 unique values 0 missing
yan	numeric	4 unique values 0 missing
dusti	numeric	2 unique values 0 missing
troop	numeric	13 unique values 0 missing
clothe	numeric	5 unique values 0 missing
cease	numeric	3 unique values 0 missing
summon	numeric	3 unique values 0 missing
shot	numeric	6 unique values 0 missing
aegi	numeric	4 unique values 0 missing
comet	numeric	2 unique values 0 missing
hometown	numeric	3 unique values 0 missing
range	numeric	11 unique values 0 missing
wonder	numeric	4 unique values 0 missing
roger	numeric	3 unique values 0 missing
rocki	numeric	3 unique values 0 missing
inhal	numeric	4 unique values 0 missing
cumbria	numeric	3 unique values 0 missing
soar	numeric	3 unique values 0 missing
date	numeric	8 unique values 0 missing
labour	numeric	6 unique values 0 missing
pigment	numeric	3 unique values 0 missing
new	numeric	9 unique values 0 missing
dim	numeric	2 unique values 0 missing
corp	numeric	8 unique values 0 missing
dial	numeric	2 unique values 0 missing
restitut	numeric	5 unique values 0 missing
scor	numeric	7 unique values 0 missing
log	numeric	5 unique values 0 missing
yorkshir	numeric	3 unique values 0 missing
pollution	numeric	7 unique values 0 missing
settl	numeric	5 unique values 0 missing
stir	numeric	3 unique values 0 missing
breweri	numeric	5 unique values 0 missing
subsidiari	numeric	8 unique values 0 missing
revis	numeric	5 unique values 0 missing
endotoxin	numeric	3 unique values 0 missing
owe	numeric	5 unique values 0 missing
embassi	numeric	5 unique values 0 missing
impermiss	numeric	3 unique values 0 missing
gate	numeric	4 unique values 0 missing
student	numeric	12 unique values 0 missing
handicraft	numeric	2 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

690

Number of instances (rows) of the dataset.

NumberOfFeatures

8262

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

8261

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

Quartile2KurtosisOfNumericAtts

218.99

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

REPTreeDepth2Kappa

0.81

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

ClassEntropy

3.03

Entropy of the target attribute values.

kNN1NKappa

0.27

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

MajorityClassSize

160

Number of instances belonging to the most frequent class.

MinAttributeEntropy

Minimal entropy among attributes.

Quartile2MeansOfNumericAtts

0.02

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

REPTreeDepth3AUC

0.93

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

DecisionStumpAUC

0.7

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

MaxAttributeEntropy

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

-1.9

Minimum kurtosis among attributes of the numeric type.

Quartile2MutualInformation

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

REPTreeDepth3ErrRate

0.16

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

DecisionStumpErrRate

0.6

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

MaxKurtosisOfNumericAtts

689.76

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

Minimum of means among attributes of the numeric type.

Quartile2SkewnessOfNumericAtts

13.85

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

REPTreeDepth3Kappa

0.81

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

DecisionStumpKappa

0.26

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

MaxMeansOfNumericAtts

11.53

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

0.23

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

RandomTreeDepth1AUC

0.68

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

Dimensionality

11.97

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

0.55

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

-0.59

Minimum skewness among attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

342.65

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

0.15

Average class difference between consecutive instances.

RandomTreeDepth1Kappa

0.36

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

J48.00001.AUC

0.93

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

MaxSkewnessOfNumericAtts

26.26

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

0.07

Minimum standard deviation of attributes of the numeric type.

PercentageOfNumericFeatures

99.99

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

0.08

Third quartile of means among attributes of the numeric type.

CfsSubsetEval_DecisionStumpAUC

0.94

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

0.68

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

J48.00001.ErrRate

0.13

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

MaxStdDevOfNumericAtts

79.56

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

2.03

Percentage 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

0.14

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

0.55

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

J48.00001.Kappa

0.84

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

17.4

Third quartile of skewness among attributes of the numeric type.

CfsSubsetEval_DecisionStumpKappa

0.84

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

0.36

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

J48.0001.AUC

0.93

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

MeanKurtosisOfNumericAtts

247.71

Mean kurtosis among attributes of the numeric type.

NaiveBayesAUC

0.87

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

Quartile1KurtosisOfNumericAtts

131.67

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

0.61

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

CfsSubsetEval_NaiveBayesAUC

0.94

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

0.68

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

J48.0001.ErrRate

0.13

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

MeanMeansOfNumericAtts

0.11

Mean of means among attributes of the numeric type.

NaiveBayesErrRate

0.3

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

Quartile1MeansOfNumericAtts

0.01

First quartile of means among attributes of the numeric type.

REPTreeDepth1AUC

0.93

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

CfsSubsetEval_NaiveBayesErrRate

0.14

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

0.55

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

J48.0001.Kappa

0.84

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

0.65

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

0.16

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

CfsSubsetEval_NaiveBayesKappa

0.84

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

0.36

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

J48.001.AUC

0.93

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

10.61

First quartile of skewness among attributes of the numeric type.

REPTreeDepth1Kappa

0.81

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

CfsSubsetEval_kNN1NAUC

0.94

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

0.13

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

0.11

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

REPTreeDepth2AUC

0.93

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

CfsSubsetEval_kNN1NErrRate

0.14

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

0.64

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

J48.001.Kappa

0.84

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

MeanSkewnessOfNumericAtts

14.25

Mean skewness among attributes of the numeric type.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

REPTreeDepth2ErrRate

0.16

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

CfsSubsetEval_kNN1NKappa

0.84

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

0.61

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

MajorityClassPercentage

23.19

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

0.84

Mean standard deviation of attributes of the numeric type.

Show all 107 properties

62 tasks

Supervised Classification on tr45.wc

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

Supervised Classification on tr45.wc

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

Supervised Regression on tr45.wc

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

Supervised Regression on tr45.wc

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

Supervised Regression on tr45.wc

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

Supervised Regression on tr45.wc

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

Supervised Regression on tr45.wc

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

Supervised Regression on tr45.wc

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

Supervised Regression on tr45.wc

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

Learning Curve on tr45.wc

33 runs - estimation_procedure: 10-fold Learning Curve - target_feature: CLASS_LABEL

Supervised Data Stream Classification on tr45.wc

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

Clustering on tr45.wc

0 runs - estimation_procedure: 50 times Clustering

Clustering on tr45.wc

0 runs - estimation_procedure: 50 times Clustering

Clustering on tr45.wc

0 runs - estimation_procedure: 50 times Clustering

Clustering on tr45.wc

0 runs - estimation_procedure: 50 times Clustering

Clustering on tr45.wc

0 runs - estimation_procedure: 50 times Clustering

Clustering on tr45.wc

0 runs

Clustering on tr45.wc

0 runs - estimation_procedure: 50 times Clustering

Clustering on tr45.wc

0 runs - estimation_procedure: 50 times Clustering

Clustering on tr45.wc

0 runs - estimation_procedure: 50 times Clustering

Clustering on tr45.wc

0 runs - estimation_procedure: 50 times Clustering

Clustering on tr45.wc

0 runs - estimation_procedure: 50 times Clustering

Subgroup Discovery on tr45.wc