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la1s.wc

active Sparse_ARFF Publicly available Visibility: public Uploaded 28-09-2014 by Joaquin Vanschoren
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13196 features

CLASS_LABEL (target)	nominal	6 unique values 0 missing
aa	numeric	5 unique values 0 missing
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nonviol	numeric	2 unique values 0 missing
oti	numeric	3 unique values 0 missing
patricia	numeric	2 unique values 0 missing
piston	numeric	6 unique values 0 missing
preparatori	numeric	2 unique values 0 missing
queen	numeric	5 unique values 0 missing
ree	numeric	2 unique values 0 missing
revision	numeric	3 unique values 0 missing
rude	numeric	2 unique values 0 missing
scot	numeric	8 unique values 0 missing
shift	numeric	4 unique values 0 missing
slum	numeric	4 unique values 0 missing
sprain	numeric	3 unique values 0 missing
strikingli	numeric	2 unique values 0 missing
swollen	numeric	3 unique values 0 missing
thief	numeric	2 unique values 0 missing
trent	numeric	4 unique values 0 missing
unharm	numeric	3 unique values 0 missing
venue	numeric	3 unique values 0 missing
wealth	numeric	2 unique values 0 missing
worthi	numeric	6 unique values 0 missing
abduct	numeric	3 unique values 0 missing
alexandra	numeric	4 unique values 0 missing
arcadia	numeric	2 unique values 0 missing
backstag	numeric	2 unique values 0 missing
berkshir	numeric	3 unique values 0 missing
bottom	numeric	3 unique values 0 missing
burmes	numeric	3 unique values 0 missing
catastroph	numeric	3 unique values 0 missing
cigarett	numeric	5 unique values 0 missing
compagnon	numeric	3 unique values 0 missing
costa	numeric	10 unique values 0 missing
dance	numeric	11 unique values 0 missing
desir	numeric	3 unique values 0 missing
divid	numeric	5 unique values 0 missing
economist	numeric	9 unique values 0 missing
eric	numeric	5 unique values 0 missing
fantasi	numeric	4 unique values 0 missing
flush	numeric	2 unique values 0 missing
gabor	numeric	3 unique values 0 missing
gorsek	numeric	4 unique values 0 missing
hapless	numeric	2 unique values 0 missing
hoax	numeric	4 unique values 0 missing
immers	numeric	2 unique values 0 missing
internist	numeric	2 unique values 0 missing
journalist	numeric	8 unique values 0 missing
lac	numeric	2 unique values 0 missing
lick	numeric	2 unique values 0 missing
mack	numeric	3 unique values 0 missing
mccracken	numeric	3 unique values 0 missing
minim	numeric	3 unique values 0 missing
murrai	numeric	4 unique values 0 missing
noodle	numeric	3 unique values 0 missing
otto	numeric	3 unique values 0 missing
patrick	numeric	6 unique values 0 missing
pit	numeric	8 unique values 0 missing
preponder	numeric	2 unique values 0 missing
quell	numeric	2 unique values 0 missing
reek	numeric	2 unique values 0 missing
revit	numeric	3 unique values 0 missing
rudi	numeric	3 unique values 0 missing
scotland	numeric	7 unique values 0 missing
shiite	numeric	3 unique values 0 missing
sluman	numeric	2 unique values 0 missing
sprawl	numeric	2 unique values 0 missing
string	numeric	6 unique values 0 missing
swoop	numeric	2 unique values 0 missing
thierbach	numeric	3 unique values 0 missing
trenton	numeric	2 unique values 0 missing
unhealthi	numeric	2 unique values 0 missing
vera	numeric	2 unique values 0 missing
wealthi	numeric	3 unique values 0 missing
worthwhil	numeric	2 unique values 0 missing
abdul	numeric	6 unique values 0 missing
alexandria	numeric	4 unique values 0 missing
arcan	numeric	2 unique values 0 missing
backup	numeric	3 unique values 0 missing
berlin	numeric	9 unique values 0 missing
bought	numeric	6 unique values 0 missing
burn	numeric	7 unique values 0 missing
catch	numeric	7 unique values 0 missing
cimon	numeric	2 unique values 0 missing
compani	numeric	24 unique values 0 missing
costli	numeric	3 unique values 0 missing
dancer	numeric	6 unique values 0 missing
desk	numeric	5 unique values 0 missing
dividend	numeric	8 unique values 0 missing
ecstat	numeric	3 unique values 0 missing
erick	numeric	2 unique values 0 missing
fantast	numeric	2 unique values 0 missing
fly	numeric	7 unique values 0 missing
gabriel	numeric	4 unique values 0 missing
gortari	numeric	3 unique values 0 missing
happen	numeric	8 unique values 0 missing
hoaxe	numeric	3 unique values 0 missing
immigr	numeric	12 unique values 0 missing
interplai	numeric	2 unique values 0 missing
journei	numeric	3 unique values 0 missing
lace	numeric	3 unique values 0 missing
lid	numeric	3 unique values 0 missing
mackenzi	numeric	4 unique values 0 missing
mcdonald	numeric	5 unique values 0 missing
minimalist	numeric	2 unique values 0 missing
murrow	numeric	2 unique values 0 missing
noon	numeric	3 unique values 0 missing
ought	numeric	3 unique values 0 missing
patriot	numeric	4 unique values 0 missing
pitch	numeric	5 unique values 0 missing
preposter	numeric	2 unique values 0 missing
quentin	numeric	3 unique values 0 missing
reel	numeric	4 unique values 0 missing
reviv	numeric	4 unique values 0 missing
rudman	numeric	4 unique values 0 missing
scottish	numeric	2 unique values 0 missing
shimmer	numeric	2 unique values 0 missing
slumlord	numeric	4 unique values 0 missing
spread	numeric	5 unique values 0 missing
stringent	numeric	3 unique values 0 missing
sword	numeric	4 unique values 0 missing
thieve	numeric	3 unique values 0 missing
trespass	numeric	3 unique values 0 missing
unheard	numeric	2 unique values 0 missing
verbal	numeric	4 unique values 0 missing
weapon	numeric	16 unique values 0 missing
wouldn	numeric	4 unique values 0 missing
abdullah	numeric	3 unique values 0 missing
alfonso	numeric	3 unique values 0 missing
arch	numeric	3 unique values 0 missing
backward	numeric	3 unique values 0 missing
berman	numeric	4 unique values 0 missing
boulder	numeric	3 unique values 0 missing
burner	numeric	3 unique values 0 missing
catche	numeric	6 unique values 0 missing
cinch	numeric	2 unique values 0 missing
companion	numeric	4 unique values 0 missing
costum	numeric	4 unique values 0 missing
danforth	numeric	3 unique values 0 missing
despair	numeric	2 unique values 0 missing
divis	numeric	2 unique values 0 missing
ecumen	numeric	2 unique values 0 missing
erickson	numeric	4 unique values 0 missing
far	numeric	2 unique values 0 missing
flyer	numeric	5 unique values 0 missing
gabriela	numeric	2 unique values 0 missing
gosh	numeric	2 unique values 0 missing
happi	numeric	6 unique values 0 missing
hobbi	numeric	3 unique values 0 missing
immin	numeric	3 unique values 0 missing
interpol	numeric	3 unique values 0 missing
journeyman	numeric	2 unique values 0 missing
lachman	numeric	2 unique values 0 missing
lie	numeric	3 unique values 0 missing
maclain	numeric	2 unique values 0 missing
mcdonnell	numeric	4 unique values 0 missing
minimum	numeric	5 unique values 0 missing
mus	numeric	2 unique values 0 missing
noonan	numeric	3 unique values 0 missing
ounce	numeric	5 unique values 0 missing
patrol	numeric	6 unique values 0 missing
pitche	numeric	2 unique values 0 missing
presbyterian	numeric	4 unique values 0 missing
quesada	numeric	3 unique values 0 missing
reelect	numeric	6 unique values 0 missing
revoc	numeric	3 unique values 0 missing
rudolph	numeric	4 unique values 0 missing
scottsdal	numeric	2 unique values 0 missing
shin	numeric	2 unique values 0 missing
slump	numeric	4 unique values 0 missing
spree	numeric	3 unique values 0 missing
strip	numeric	8 unique values 0 missing
swore	numeric	2 unique values 0 missing
thigh	numeric	2 unique values 0 missing
trevino	numeric	3 unique values 0 missing
unherald	numeric	2 unique values 0 missing
verde	numeric	5 unique values 0 missing
weaponri	numeric	3 unique values 0 missing
wound	numeric	8 unique values 0 missing
abe	numeric	3 unique values 0 missing
alfr	numeric	4 unique values 0 missing
archbishop	numeric	3 unique values 0 missing
backyard	numeric	3 unique values 0 missing
bermuda	numeric	4 unique values 0 missing
boulevard	numeric	9 unique values 0 missing
burnham	numeric	5 unique values 0 missing
catcher	numeric	3 unique values 0 missing
cincinnati	numeric	11 unique values 0 missing
companionship	numeric	2 unique values 0 missing
cot	numeric	3 unique values 0 missing
dang	numeric	2 unique values 0 missing
desper	numeric	3 unique values 0 missing
division	numeric	9 unique values 0 missing
ed	numeric	6 unique values 0 missing
erik	numeric	3 unique values 0 missing
farawai	numeric	2 unique values 0 missing
flyn	numeric	3 unique values 0 missing
gadberi	numeric	2 unique values 0 missing
gospel	numeric	4 unique values 0 missing
happier	numeric	2 unique values 0 missing
hobble	numeric	2 unique values 0 missing
immort	numeric	2 unique values 0 missing
interpret	numeric	5 unique values 0 missing
jovi	numeric	3 unique values 0 missing
laci	numeric	3 unique values 0 missing
liem	numeric	3 unique values 0 missing
maclean	numeric	4 unique values 0 missing
mcdowell	numeric	2 unique values 0 missing
miniseri	numeric	3 unique values 0 missing
musburg	numeric	3 unique values 0 missing
nor	numeric	3 unique values 0 missing
our	numeric	2 unique values 0 missing
patroll	numeric	2 unique values 0 missing
pitcher	numeric	6 unique values 0 missing
preschool	numeric	3 unique values 0 missing
quest	numeric	3 unique values 0 missing
reese	numeric	3 unique values 0 missing
revok	numeric	4 unique values 0 missing
rug	numeric	4 unique values 0 missing
scout	numeric	6 unique values 0 missing
shine	numeric	3 unique values 0 missing
slur	numeric	2 unique values 0 missing
spring	numeric	7 unique values 0 missing
stripe	numeric	4 unique values 0 missing
sworn	numeric	5 unique values 0 missing
thin	numeric	3 unique values 0 missing
trevor	numeric	3 unique values 0 missing
unhurt	numeric	2 unique values 0 missing
verdi	numeric	3 unique values 0 missing
wear	numeric	5 unique values 0 missing
woutat	numeric	2 unique values 0 missing
aberr	numeric	2 unique values 0 missing
alfredo	numeric	3 unique values 0 missing
archdioces	numeric	4 unique values 0 missing
bacon	numeric	3 unique values 0 missing
bern	numeric	3 unique values 0 missing
bounc	numeric	3 unique values 0 missing
burnt	numeric	3 unique values 0 missing
cate	numeric	4 unique values 0 missing
cinderella	numeric	3 unique values 0 missing
compar	numeric	5 unique values 0 missing
cottag	numeric	2 unique values 0 missing
danger	numeric	8 unique values 0 missing
despit	numeric	4 unique values 0 missing
divorc	numeric	5 unique values 0 missing
edberg	numeric	6 unique values 0 missing
erin	numeric	3 unique values 0 missing
farce	numeric	2 unique values 0 missing
fm	numeric	6 unique values 0 missing
gaddi	numeric	3 unique values 0 missing
gossip	numeric	3 unique values 0 missing
happili	numeric	3 unique values 0 missing
hoc	numeric	2 unique values 0 missing
immun	numeric	5 unique values 0 missing
interrel	numeric	2 unique values 0 missing
joyce	numeric	4 unique values 0 missing
lack	numeric	5 unique values 0 missing
lieu	numeric	2 unique values 0 missing
macmin	numeric	2 unique values 0 missing
mcenroe	numeric	8 unique values 0 missing
minist	numeric	6 unique values 0 missing
muscle	numeric	5 unique values 0 missing
nordic	numeric	3 unique values 0 missing
ourselv	numeric	3 unique values 0 missing
patrolman	numeric	3 unique values 0 missing
pitfall	numeric	2 unique values 0 missing
prescrib	numeric	2 unique values 0 missing
question	numeric	7 unique values 0 missing
reeve	numeric	3 unique values 0 missing
revolt	numeric	3 unique values 0 missing
ruin	numeric	3 unique values 0 missing
scowcroft	numeric	4 unique values 0 missing
shingle	numeric	2 unique values 0 missing
sly	numeric	3 unique values 0 missing
springer	numeric	3 unique values 0 missing
striv	numeric	2 unique values 0 missing
swung	numeric	2 unique values 0 missing
think	numeric	6 unique values 0 missing
tri	numeric	6 unique values 0 missing
unidentifi	numeric	3 unique values 0 missing
verdict	numeric	6 unique values 0 missing
weari	numeric	2 unique values 0 missing
woven	numeric	2 unique values 0 missing
abet	numeric	3 unique values 0 missing
algae	numeric	2 unique values 0 missing
archer	numeric	4 unique values 0 missing
bacteria	numeric	4 unique values 0 missing
bernard	numeric	4 unique values 0 missing
bounce	numeric	3 unique values 0 missing
burrough	numeric	2 unique values 0 missing
categor	numeric	3 unique values 0 missing
cindi	numeric	4 unique values 0 missing
comparison	numeric	4 unique values 0 missing
cotter	numeric	3 unique values 0 missing
dangl	numeric	3 unique values 0 missing
dessert	numeric	3 unique values 0 missing
divot	numeric	2 unique values 0 missing
eddie	numeric	5 unique values 0 missing
erkenbrack	numeric	3 unique values 0 missing
farcic	numeric	2 unique values 0 missing
foam	numeric	2 unique values 0 missing
gael	numeric	4 unique values 0 missing
gotta	numeric	2 unique values 0 missing
har	numeric	3 unique values 0 missing
hochman	numeric	3 unique values 0 missing
immunodefici	numeric	2 unique values 0 missing
interrog	numeric	3 unique values 0 missing
joyner	numeric	7 unique values 0 missing
lacklust	numeric	2 unique values 0 missing
lieuten	numeric	5 unique values 0 missing
macneil	numeric	3 unique values 0 missing
mcfadden	numeric	2 unique values 0 missing
ministri	numeric	7 unique values 0 missing
muscular	numeric	2 unique values 0 missing
nordiqu	numeric	4 unique values 0 missing
oust	numeric	3 unique values 0 missing
patron	numeric	3 unique values 0 missing
piti	numeric	3 unique values 0 missing
prescript	numeric	4 unique values 0 missing
questionnair	numeric	2 unique values 0 missing
ref	numeric	2 unique values 0 missing
revolut	numeric	4 unique values 0 missing
ruize	numeric	4 unique values 0 missing
scowl	numeric	2 unique values 0 missing
shini	numeric	3 unique values 0 missing
smack	numeric	2 unique values 0 missing
springfield	numeric	3 unique values 0 missing
strive	numeric	2 unique values 0 missing
sydnei	numeric	3 unique values 0 missing
thinker	numeric	2 unique values 0 missing
trial	numeric	11 unique values 0 missing
unifi	numeric	4 unique values 0 missing
verge	numeric	2 unique values 0 missing
weather	numeric	8 unique values 0 missing
wow	numeric	2 unique values 0 missing
abid	numeric	3 unique values 0 missing
algebra	numeric	3 unique values 0 missing
archie	numeric	3 unique values 0 missing
bad	numeric	7 unique values 0 missing
bernardino	numeric	6 unique values 0 missing
bound	numeric	4 unique values 0 missing
burrow	numeric	4 unique values 0 missing
categori	numeric	6 unique values 0 missing
cinema	numeric	5 unique values 0 missing
compart	numeric	2 unique values 0 missing
cotton	numeric	6 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

3204

Number of instances (rows) of the dataset.

NumberOfFeatures

13196

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

13195

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

REPTreeDepth3AUC

0.89

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

DecisionStumpAUC

0.66

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

MaxAttributeEntropy

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

-1.62

Minimum kurtosis among attributes of the numeric type.

Quartile2MeansOfNumericAtts

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

REPTreeDepth3ErrRate

0.27

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

DecisionStumpErrRate

0.55

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

MaxKurtosisOfNumericAtts

3197.55

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

Minimum of means among attributes of the numeric type.

Quartile2MutualInformation

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

REPTreeDepth3Kappa

0.66

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

DecisionStumpKappa

0.24

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

MaxMeansOfNumericAtts

1.98

Maximum of means among attributes of the numeric type.

MinMutualInformation

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

Quartile2SkewnessOfNumericAtts

25.27

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

RandomTreeDepth1AUC

0.66

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

Dimensionality

4.12

Number of attributes divided by the number of instances.

MaxMutualInformation

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

MinNominalAttDistinctValues

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

PercentageOfBinaryFeatures

Percentage of binary attributes.

Quartile2StdDevOfNumericAtts

0.08

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

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

-5.54

Minimum skewness among attributes of the numeric type.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

RandomTreeDepth1Kappa

0.32

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

J48.00001.AUC

0.85

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

MaxSkewnessOfNumericAtts

56.52

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

0.03

Minimum standard deviation of attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

1064.66

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

0.76

Average class difference between consecutive instances.

RandomTreeDepth2AUC

0.66

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

J48.00001.ErrRate

0.27

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

MaxStdDevOfNumericAtts

2.83

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

8.52

Percentage of instances belonging to the least frequent class.

PercentageOfNumericFeatures

99.99

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

0.01

Third quartile of means among attributes of the numeric type.

CfsSubsetEval_DecisionStumpAUC

0.87

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

RandomTreeDepth2ErrRate

0.55

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

J48.00001.Kappa

0.66

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

MeanAttributeEntropy

Average entropy of the attributes.

MinorityClassSize

273

Number of instances belonging to the least frequent class.

PercentageOfSymbolicFeatures

0.01

Percentage of nominal attributes.

Quartile3MutualInformation

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

CfsSubsetEval_DecisionStumpErrRate

0.25

Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

RandomTreeDepth2Kappa

0.32

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

J48.0001.AUC

0.85

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

MeanKurtosisOfNumericAtts

831.87

Mean kurtosis among attributes of the numeric type.

NaiveBayesAUC

0.91

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

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile3SkewnessOfNumericAtts

32.65

Third quartile of skewness among attributes of the numeric type.

CfsSubsetEval_DecisionStumpKappa

0.69

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

0.87

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

0.66

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

J48.0001.ErrRate

0.27

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

0.25

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

Quartile1KurtosisOfNumericAtts

342.71

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

0.18

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

CfsSubsetEval_NaiveBayesErrRate

0.25

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

0.66

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

0.69

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

Quartile1MeansOfNumericAtts

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_NaiveBayesKappa

0.69

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

0.32

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

J48.001.AUC

0.85

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

MeanNoiseToSignalRatio

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

NumberOfBinaryFeatures

Number of binary attributes.

Quartile1MutualInformation

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

REPTreeDepth1ErrRate

0.27

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

CfsSubsetEval_kNN1NAUC

0.87

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

0.27

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

MeanNominalAttDistinctValues

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

Quartile1SkewnessOfNumericAtts

17.01

First quartile of skewness among attributes of the numeric type.

REPTreeDepth1Kappa

0.66

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

REPTreeDepth2AUC

0.89

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

CfsSubsetEval_kNN1NErrRate

0.25

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

0.62

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

J48.001.Kappa

0.66

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

MeanSkewnessOfNumericAtts

25.37

Mean skewness among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

0.05

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

REPTreeDepth2ErrRate

0.27

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

CfsSubsetEval_kNN1NKappa

0.69

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

0.64

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

MajorityClassPercentage

29.43

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

0.16

Mean standard deviation of attributes of the numeric type.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

REPTreeDepth2Kappa

0.66

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

ClassEntropy

2.44

Entropy of the target attribute values.

kNN1NKappa

0.23

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

MajorityClassSize

943

Number of instances belonging to the most frequent class.

MinAttributeEntropy

Minimal entropy among attributes.

Quartile2KurtosisOfNumericAtts

701

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

Show all 107 properties

47 tasks

Supervised Classification on la1s.wc

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

Supervised Classification on la1s.wc

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

Supervised Classification on la1s.wc

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

Supervised Regression on la1s.wc

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

Supervised Regression on la1s.wc

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

Supervised Regression on la1s.wc

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

Supervised Regression on la1s.wc

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

Supervised Regression on la1s.wc

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

Supervised Regression on la1s.wc

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

Supervised Regression on la1s.wc

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

Learning Curve on la1s.wc

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

Supervised Data Stream Classification on la1s.wc

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

Clustering on la1s.wc

0 runs - estimation_procedure: 50 times Clustering

Clustering on la1s.wc

0 runs - estimation_procedure: 50 times Clustering

Clustering on la1s.wc

0 runs - estimation_procedure: 50 times Clustering

Clustering on la1s.wc

0 runs - estimation_procedure: 50 times Clustering

Clustering on la1s.wc

0 runs - estimation_procedure: 50 times Clustering

Clustering on la1s.wc

0 runs

Clustering on la1s.wc

0 runs - estimation_procedure: 50 times Clustering

Clustering on la1s.wc

0 runs - estimation_procedure: 50 times Clustering

Clustering on la1s.wc

0 runs - estimation_procedure: 50 times Clustering

Clustering on la1s.wc

0 runs - estimation_procedure: 50 times Clustering

Clustering on la1s.wc

0 runs - estimation_procedure: 50 times Clustering

Subgroup Discovery on la1s.wc