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re1.wc

active Sparse_ARFF Publicly available Visibility: public Uploaded 28-09-2014 by Joaquin Vanschoren
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3759 features

CLASS_LABEL (target)	nominal	25 unique values 0 missing
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sweden	numeric	3 unique values 0 missing
river	numeric	7 unique values 0 missing
compet	numeric	2 unique values 0 missing
silver	numeric	6 unique values 0 missing
deleg	numeric	12 unique values 0 missing
assum	numeric	2 unique values 0 missing
glut	numeric	2 unique values 0 missing
ludwigshafen	numeric	2 unique values 0 missing
concret	numeric	2 unique values 0 missing
miner	numeric	9 unique values 0 missing
keng	numeric	2 unique values 0 missing
wash	numeric	2 unique values 0 missing
sovereign	numeric	2 unique values 0 missing
venezuelan	numeric	4 unique values 0 missing
pakistan	numeric	5 unique values 0 missing
impos	numeric	4 unique values 0 missing
rupiah	numeric	2 unique values 0 missing
quiet	numeric	3 unique values 0 missing
handler	numeric	3 unique values 0 missing
fe	numeric	6 unique values 0 missing
assur	numeric	3 unique values 0 missing
santo	numeric	5 unique values 0 missing
retend	numeric	3 unique values 0 missing
archer	numeric	2 unique values 0 missing
relax	numeric	2 unique values 0 missing
mideast	numeric	4 unique values 0 missing
graz	numeric	2 unique values 0 missing
comparison	numeric	3 unique values 0 missing
arabl	numeric	3 unique values 0 missing
safe	numeric	4 unique values 0 missing
lobbyist	numeric	2 unique values 0 missing
engin	numeric	4 unique values 0 missing
accompani	numeric	2 unique values 0 missing
intend	numeric	4 unique values 0 missing
zhejiang	numeric	2 unique values 0 missing
science	numeric	2 unique values 0 missing
haggard	numeric	4 unique values 0 missing
ltd	numeric	5 unique values 0 missing
look	numeric	4 unique values 0 missing
roman	numeric	2 unique values 0 missing
formosa	numeric	2 unique values 0 missing
murphi	numeric	2 unique values 0 missing
allevi	numeric	2 unique values 0 missing
suharto	numeric	3 unique values 0 missing
hernandez	numeric	5 unique values 0 missing
overal	numeric	4 unique values 0 missing
earliest	numeric	2 unique values 0 missing
collabor	numeric	2 unique values 0 missing
broad	numeric	2 unique values 0 missing
separ	numeric	3 unique values 0 missing
upcom	numeric	2 unique values 0 missing
dump	numeric	3 unique values 0 missing
takeov	numeric	2 unique values 0 missing
chines	numeric	4 unique values 0 missing
warship	numeric	4 unique values 0 missing
bare	numeric	2 unique values 0 missing
easili	numeric	2 unique values 0 missing
therebi	numeric	2 unique values 0 missing
electrolyt	numeric	3 unique values 0 missing
kind	numeric	2 unique values 0 missing
belief	numeric	3 unique values 0 missing
southeast	numeric	3 unique values 0 missing
withdrew	numeric	2 unique values 0 missing
hunger	numeric	4 unique values 0 missing
herrington	numeric	7 unique values 0 missing
reiter	numeric	3 unique values 0 missing
focus	numeric	2 unique values 0 missing
tropic	numeric	3 unique values 0 missing
pentagon	numeric	3 unique values 0 missing
land	numeric	6 unique values 0 missing
advers	numeric	3 unique values 0 missing
charg	numeric	3 unique values 0 missing
plung	numeric	3 unique values 0 missing
benchmark	numeric	3 unique values 0 missing
king	numeric	3 unique values 0 missing
violat	numeric	3 unique values 0 missing
patricia	numeric	3 unique values 0 missing
accid	numeric	3 unique values 0 missing
start	numeric	6 unique values 0 missing
samuel	numeric	2 unique values 0 missing
kanon	numeric	5 unique values 0 missing
addit	numeric	3 unique values 0 missing
voic	numeric	2 unique values 0 missing
paddi	numeric	5 unique values 0 missing
lane	numeric	2 unique values 0 missing
ivori	numeric	5 unique values 0 missing
atpc	numeric	4 unique values 0 missing
colleagu	numeric	2 unique values 0 missing
seminar	numeric	3 unique values 0 missing
petition	numeric	4 unique values 0 missing
believ	numeric	3 unique values 0 missing
urg	numeric	4 unique values 0 missing
gather	numeric	3 unique values 0 missing
intens	numeric	3 unique values 0 missing
ga	numeric	11 unique values 0 missing
intellig	numeric	2 unique values 0 missing
butadien	numeric	3 unique values 0 missing
seafar	numeric	4 unique values 0 missing
western	numeric	5 unique values 0 missing
twin	numeric	2 unique values 0 missing
ethanol	numeric	3 unique values 0 missing
obstacl	numeric	2 unique values 0 missing
indiana	numeric	3 unique values 0 missing
morocco	numeric	4 unique values 0 missing
addition	numeric	4 unique values 0 missing
hunan	numeric	2 unique values 0 missing
chicago	numeric	5 unique values 0 missing
formerli	numeric	2 unique values 0 missing
grain	numeric	13 unique values 0 missing
london	numeric	6 unique values 0 missing
proven	numeric	4 unique values 0 missing
pari	numeric	5 unique values 0 missing
supertank	numeric	4 unique values 0 missing
able	numeric	3 unique values 0 missing
vigor	numeric	2 unique values 0 missing
slid	numeric	2 unique values 0 missing
britain	numeric	4 unique values 0 missing
saudi	numeric	11 unique values 0 missing
christi	numeric	2 unique values 0 missing
circle	numeric	2 unique values 0 missing
mislead	numeric	2 unique values 0 missing
dale	numeric	2 unique values 0 missing
aegean	numeric	8 unique values 0 missing
intent	numeric	4 unique values 0 missing
technologi	numeric	5 unique values 0 missing
lynch	numeric	3 unique values 0 missing
space	numeric	2 unique values 0 missing
stress	numeric	2 unique values 0 missing
depart	numeric	7 unique values 0 missing
armi	numeric	4 unique values 0 missing
crash	numeric	2 unique values 0 missing
bankruptci	numeric	5 unique values 0 missing
umuarama	numeric	2 unique values 0 missing
estim	numeric	9 unique values 0 missing
ceremoni	numeric	2 unique values 0 missing
starch	numeric	2 unique values 0 missing
guinea	numeric	5 unique values 0 missing
weekli	numeric	3 unique values 0 missing
montagu	numeric	3 unique values 0 missing
posit	numeric	3 unique values 0 missing
regul	numeric	4 unique values 0 missing
lesson	numeric	2 unique values 0 missing
lui	numeric	2 unique values 0 missing
tenth	numeric	3 unique values 0 missing
cathod	numeric	4 unique values 0 missing
undevelop	numeric	2 unique values 0 missing
move	numeric	5 unique values 0 missing
franc	numeric	4 unique values 0 missing
condemn	numeric	2 unique values 0 missing
treatment	numeric	2 unique values 0 missing
petrochem	numeric	4 unique values 0 missing
view	numeric	3 unique values 0 missing
striker	numeric	3 unique values 0 missing
jeddah	numeric	2 unique values 0 missing
foundat	numeric	2 unique values 0 missing
poor	numeric	3 unique values 0 missing
influenc	numeric	3 unique values 0 missing
whenev	numeric	2 unique values 0 missing
lukman	numeric	4 unique values 0 missing
magma	numeric	2 unique values 0 missing
forward	numeric	4 unique values 0 missing
undertak	numeric	2 unique values 0 missing
apprais	numeric	2 unique values 0 missing
hawaii	numeric	4 unique values 0 missing
survei	numeric	5 unique values 0 missing
nato	numeric	4 unique values 0 missing
usa	numeric	2 unique values 0 missing
peanut	numeric	3 unique values 0 missing
worthwhil	numeric	2 unique values 0 missing
forfeitur	numeric	2 unique values 0 missing
toler	numeric	3 unique values 0 missing
pass	numeric	3 unique values 0 missing
execut	numeric	4 unique values 0 missing
announc	numeric	5 unique values 0 missing
suscept	numeric	3 unique values 0 missing
till	numeric	2 unique values 0 missing
renew	numeric	5 unique values 0 missing
frank	numeric	2 unique values 0 missing
bargain	numeric	2 unique values 0 missing
underwai	numeric	2 unique values 0 missing
parana	numeric	3 unique values 0 missing
use	numeric	2 unique values 0 missing
daniel	numeric	2 unique values 0 missing
civilian	numeric	2 unique values 0 missing
absolut	numeric	2 unique values 0 missing
prefer	numeric	6 unique values 0 missing
past	numeric	4 unique values 0 missing
tradition	numeric	2 unique values 0 missing
jointli	numeric	3 unique values 0 missing
baseless	numeric	3 unique values 0 missing
slip	numeric	2 unique values 0 missing
reorganis	numeric	3 unique values 0 missing
bring	numeric	5 unique values 0 missing
diseas	numeric	7 unique values 0 missing
commod	numeric	7 unique values 0 missing
scheme	numeric	5 unique values 0 missing
windfall	numeric	2 unique values 0 missing
yard	numeric	4 unique values 0 missing
tuesdai	numeric	3 unique values 0 missing
hedge	numeric	2 unique values 0 missing
inche	numeric	2 unique values 0 missing
alexandria	numeric	4 unique values 0 missing
directli	numeric	2 unique values 0 missing
resist	numeric	5 unique values 0 missing
thin	numeric	2 unique values 0 missing
southern	numeric	4 unique values 0 missing
polish	numeric	3 unique values 0 missing
rai	numeric	2 unique values 0 missing
smelter	numeric	6 unique values 0 missing
practic	numeric	3 unique values 0 missing
mozambiqu	numeric	2 unique values 0 missing
issuanc	numeric	2 unique values 0 missing
exxon	numeric	6 unique values 0 missing
badli	numeric	2 unique values 0 missing
metre	numeric	4 unique values 0 missing
radio	numeric	4 unique values 0 missing
double	numeric	2 unique values 0 missing
urge	numeric	3 unique values 0 missing
eagle	numeric	3 unique values 0 missing
stalei	numeric	2 unique values 0 missing
base	numeric	6 unique values 0 missing
impact	numeric	4 unique values 0 missing
discuss	numeric	6 unique values 0 missing
nigeria	numeric	5 unique values 0 missing
monsoon	numeric	3 unique values 0 missing
ghanaian	numeric	2 unique values 0 missing
petrol	numeric	4 unique values 0 missing
cheaper	numeric	2 unique values 0 missing
state	numeric	2 unique values 0 missing
stimul	numeric	3 unique values 0 missing
civil	numeric	2 unique values 0 missing
dismantl	numeric	3 unique values 0 missing
giant	numeric	4 unique values 0 missing
goal	numeric	2 unique values 0 missing
stalem	numeric	2 unique values 0 missing
beverag	numeric	3 unique values 0 missing
market	numeric	16 unique values 0 missing
reveal	numeric	2 unique values 0 missing
queri	numeric	2 unique values 0 missing
common	numeric	3 unique values 0 missing
read	numeric	2 unique values 0 missing
unstabl	numeric	2 unique values 0 missing
encount	numeric	2 unique values 0 missing
subsequ	numeric	2 unique values 0 missing
plummet	numeric	2 unique values 0 missing
job	numeric	3 unique values 0 missing
shill	numeric	2 unique values 0 missing
shearson	numeric	4 unique values 0 missing
brasilia	numeric	2 unique values 0 missing
learn	numeric	2 unique values 0 missing
basi	numeric	4 unique values 0 missing
romania	numeric	3 unique values 0 missing
ran	numeric	2 unique values 0 missing
condens	numeric	3 unique values 0 missing
aggress	numeric	4 unique values 0 missing
registr	numeric	7 unique values 0 missing
managua	numeric	3 unique values 0 missing
outlet	numeric	2 unique values 0 missing
bangladesh	numeric	4 unique values 0 missing
bolivia	numeric	6 unique values 0 missing
cutback	numeric	4 unique values 0 missing
similarli	numeric	2 unique values 0 missing
tonne	numeric	20 unique values 0 missing
missil	numeric	9 unique values 0 missing
anhui	numeric	3 unique values 0 missing
iranian	numeric	7 unique values 0 missing
wave	numeric	3 unique values 0 missing
raw	numeric	4 unique values 0 missing
sold	numeric	4 unique values 0 missing
bert	numeric	2 unique values 0 missing
real	numeric	3 unique values 0 missing
cordoba	numeric	5 unique values 0 missing
contractor	numeric	3 unique values 0 missing
ration	numeric	4 unique values 0 missing
ha	numeric	6 unique values 0 missing
joe	numeric	3 unique values 0 missing
pate	numeric	2 unique values 0 missing
mountain	numeric	2 unique values 0 missing
lord	numeric	3 unique values 0 missing
borrow	numeric	3 unique values 0 missing
belgium	numeric	4 unique values 0 missing
england	numeric	3 unique values 0 missing
weather	numeric	8 unique values 0 missing
stockbrok	numeric	3 unique values 0 missing
financ	numeric	5 unique values 0 missing
princip	numeric	2 unique values 0 missing
uss	numeric	3 unique values 0 missing
unusu	numeric	2 unique values 0 missing
staf	numeric	3 unique values 0 missing
trad	numeric	7 unique values 0 missing
labour	numeric	5 unique values 0 missing
path	numeric	2 unique values 0 missing
libya	numeric	3 unique values 0 missing
merchant	numeric	3 unique values 0 missing
germin	numeric	2 unique values 0 missing
conceiv	numeric	2 unique values 0 missing
doesn	numeric	3 unique values 0 missing
carbon	numeric	4 unique values 0 missing
worri	numeric	3 unique values 0 missing
auction	numeric	4 unique values 0 missing
discriminatori	numeric	2 unique values 0 missing
usx	numeric	4 unique values 0 missing
decree	numeric	3 unique values 0 missing
stag	numeric	3 unique values 0 missing
profit	numeric	7 unique values 0 missing
jon	numeric	2 unique values 0 missing
visit	numeric	3 unique values 0 missing
educ	numeric	4 unique values 0 missing
juli	numeric	6 unique values 0 missing
cross	numeric	4 unique values 0 missing
guerrilla	numeric	4 unique values 0 missing
shipper	numeric	3 unique values 0 missing
ozal	numeric	2 unique values 0 missing
sole	numeric	2 unique values 0 missing
practis	numeric	2 unique values 0 missing
significantli	numeric	3 unique values 0 missing
onstream	numeric	2 unique values 0 missing
iran	numeric	8 unique values 0 missing
stai	numeric	3 unique values 0 missing
tran	numeric	4 unique values 0 missing
incid	numeric	3 unique values 0 missing
silkworm	numeric	4 unique values 0 missing
exploit	numeric	2 unique values 0 missing
varieti	numeric	3 unique values 0 missing
lease	numeric	5 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

1657

Number of instances (rows) of the dataset.

NumberOfFeatures

3759

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

3758

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

Quartile2KurtosisOfNumericAtts

327.39

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

REPTreeDepth2Kappa

0.68

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

ClassEntropy

3.79

Entropy of the target attribute values.

kNN1NKappa

0.33

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

MajorityClassSize

371

Number of instances belonging to the most frequent class.

MinAttributeEntropy

Minimal entropy among attributes.

Quartile2MeansOfNumericAtts

0.01

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

REPTreeDepth3AUC

0.92

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

DecisionStumpAUC

0.67

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

MaxAttributeEntropy

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

7.83

Minimum kurtosis among attributes of the numeric type.

Quartile2MutualInformation

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

REPTreeDepth3ErrRate

0.28

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

1612

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

Minimum of means among attributes of the numeric type.

Quartile2SkewnessOfNumericAtts

17.76

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

REPTreeDepth3Kappa

0.68

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

DecisionStumpKappa

0.23

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

MaxMeansOfNumericAtts

1.34

Maximum of means among attributes of the numeric type.

MinMutualInformation

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

PercentageOfBinaryFeatures

Percentage of binary attributes.

Quartile2StdDevOfNumericAtts

0.1

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

RandomTreeDepth1AUC

0.68

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

Dimensionality

2.27

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

0.58

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

EquivalentNumberOfAtts

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

MaxNominalAttDistinctValues

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

MinSkewnessOfNumericAtts

2.88

Minimum skewness among attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

548.99

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

0.17

Average class difference between consecutive instances.

RandomTreeDepth1Kappa

0.34

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

J48.00001.AUC

0.9

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

MaxSkewnessOfNumericAtts

39.92

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

0.04

Minimum standard deviation of attributes of the numeric type.

PercentageOfNumericFeatures

99.97

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

0.02

Third quartile of means among attributes of the numeric type.

CfsSubsetEval_DecisionStumpAUC

0.92

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

0.22

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

MaxStdDevOfNumericAtts

2.97

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

0.6

Percentage of instances belonging to the least frequent class.

PercentageOfSymbolicFeatures

0.03

Percentage of nominal attributes.

Quartile3MutualInformation

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

CfsSubsetEval_DecisionStumpErrRate

0.23

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

0.58

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

J48.00001.Kappa

0.75

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

23.46

Third quartile of skewness among attributes of the numeric type.

CfsSubsetEval_DecisionStumpKappa

0.74

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

0.34

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

J48.0001.AUC

0.9

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

MeanKurtosisOfNumericAtts

379.64

Mean kurtosis among attributes of the numeric type.

NaiveBayesAUC

0.91

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

Quartile1KurtosisOfNumericAtts

154.99

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

0.19

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

CfsSubsetEval_NaiveBayesAUC

0.92

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

0.22

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

MeanMeansOfNumericAtts

0.02

Mean of means among attributes of the numeric type.

NaiveBayesErrRate

0.37

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

Quartile1MeansOfNumericAtts

First quartile of means among attributes of the numeric type.

REPTreeDepth1AUC

0.92

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

CfsSubsetEval_NaiveBayesErrRate

0.23

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

0.58

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

J48.0001.Kappa

0.75

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

0.59

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

0.28

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

CfsSubsetEval_NaiveBayesKappa

0.74

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

0.34

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

J48.001.AUC

0.9

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

11.63

First quartile of skewness among attributes of the numeric type.

REPTreeDepth1Kappa

0.68

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

CfsSubsetEval_kNN1NAUC

0.92

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

0.22

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

MeanNominalAttDistinctValues

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

Quartile1StdDevOfNumericAtts

0.06

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

REPTreeDepth2AUC

0.92

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

CfsSubsetEval_kNN1NErrRate

0.23

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

0.66

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

J48.001.Kappa

0.75

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

MeanSkewnessOfNumericAtts

17.37

Mean skewness among attributes of the numeric type.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

REPTreeDepth2ErrRate

0.28

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

CfsSubsetEval_kNN1NKappa

0.74

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

0.58

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

MajorityClassPercentage

22.39

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

0.17

Mean standard deviation of attributes of the numeric type.

Show all 107 properties

22 tasks

Supervised Classification on re1.wc

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

Supervised Classification on re1.wc

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

Supervised Classification on re1.wc

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

Supervised Regression on re1.wc

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

Supervised Regression on re1.wc

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

Supervised Regression on re1.wc

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

Supervised Regression on re1.wc

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

Supervised Regression on re1.wc

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

Supervised Regression on re1.wc

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

Supervised Regression on re1.wc

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

Supervised Data Stream Classification on re1.wc

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

Clustering on re1.wc