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tr21.wc

active Sparse_ARFF Publicly available Visibility: public Uploaded 28-09-2014 by Joaquin Vanschoren
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7903 features

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dissid	numeric	4 unique values 0 missing
downward	numeric	6 unique values 0 missing
suppli	numeric	13 unique values 0 missing
editor	numeric	5 unique values 0 missing
laudabl	numeric	3 unique values 0 missing
weekli	numeric	4 unique values 0 missing
pen	numeric	2 unique values 0 missing
homestead	numeric	3 unique values 0 missing
ec	numeric	8 unique values 0 missing
pariti	numeric	6 unique values 0 missing
queen	numeric	5 unique values 0 missing
headquart	numeric	4 unique values 0 missing
stratton	numeric	3 unique values 0 missing
collud	numeric	2 unique values 0 missing
lowest	numeric	7 unique values 0 missing
batteri	numeric	3 unique values 0 missing
wither	numeric	2 unique values 0 missing
inflationari	numeric	5 unique values 0 missing
peacetim	numeric	4 unique values 0 missing
number	numeric	3 unique values 0 missing
rein	numeric	2 unique values 0 missing
slap	numeric	4 unique values 0 missing
dispatch	numeric	3 unique values 0 missing
livestock	numeric	5 unique values 0 missing
abstract	numeric	4 unique values 0 missing
formul	numeric	5 unique values 0 missing
shield	numeric	4 unique values 0 missing
oceango	numeric	3 unique values 0 missing
ken	numeric	3 unique values 0 missing
sum	numeric	13 unique values 0 missing
worksit	numeric	3 unique values 0 missing
media	numeric	7 unique values 0 missing
plausibl	numeric	2 unique values 0 missing
rightli	numeric	3 unique values 0 missing
asid	numeric	9 unique values 0 missing
churche	numeric	2 unique values 0 missing
attract	numeric	8 unique values 0 missing
ditch	numeric	2 unique values 0 missing
herd	numeric	3 unique values 0 missing
recov	numeric	9 unique values 0 missing
catalyt	numeric	3 unique values 0 missing
bioscienc	numeric	3 unique values 0 missing
american	numeric	61 unique values 0 missing
formula	numeric	11 unique values 0 missing
bachu	numeric	7 unique values 0 missing
philadelphia	numeric	4 unique values 0 missing
itc	numeric	4 unique values 0 missing
norwai	numeric	3 unique values 0 missing
voucher	numeric	4 unique values 0 missing
minimi	numeric	5 unique values 0 missing
english	numeric	10 unique values 0 missing
issuanc	numeric	8 unique values 0 missing
clamp	numeric	2 unique values 0 missing
litter	numeric	2 unique values 0 missing
pediatr	numeric	4 unique values 0 missing
pair	numeric	3 unique values 0 missing
cartoon	numeric	3 unique values 0 missing
duli	numeric	4 unique values 0 missing
payor	numeric	4 unique values 0 missing
carrot	numeric	3 unique values 0 missing
secretari	numeric	21 unique values 0 missing
basem	numeric	3 unique values 0 missing
heavili	numeric	6 unique values 0 missing
compon	numeric	14 unique values 0 missing
michigan	numeric	18 unique values 0 missing
egregi	numeric	3 unique values 0 missing
addict	numeric	8 unique values 0 missing
wednesdai	numeric	3 unique values 0 missing
oversea	numeric	13 unique values 0 missing
infring	numeric	4 unique values 0 missing
accompani	numeric	10 unique values 0 missing
analyst	numeric	4 unique values 0 missing
prematur	numeric	4 unique values 0 missing
partli	numeric	5 unique values 0 missing
subscrib	numeric	5 unique values 0 missing
olymp	numeric	4 unique values 0 missing
pursue	numeric	6 unique values 0 missing
tape	numeric	5 unique values 0 missing
suspici	numeric	2 unique values 0 missing
suspicion	numeric	3 unique values 0 missing
attest	numeric	3 unique values 0 missing
maritim	numeric	11 unique values 0 missing
thirteen	numeric	2 unique values 0 missing
breach	numeric	6 unique values 0 missing
jimmi	numeric	3 unique values 0 missing
recours	numeric	5 unique values 0 missing
freighter	numeric	3 unique values 0 missing
comp	numeric	4 unique values 0 missing
baselin	numeric	7 unique values 0 missing
weaponri	numeric	2 unique values 0 missing
freest	numeric	2 unique values 0 missing
human	numeric	23 unique values 0 missing
integr	numeric	13 unique values 0 missing
crystal	numeric	3 unique values 0 missing
shirt	numeric	3 unique values 0 missing
dealt	numeric	5 unique values 0 missing
withdrawn	numeric	5 unique values 0 missing
faction	numeric	4 unique values 0 missing
outlet	numeric	3 unique values 0 missing
privat	numeric	21 unique values 0 missing
hike	numeric	7 unique values 0 missing
puerto	numeric	8 unique values 0 missing
oxid	numeric	2 unique values 0 missing
squeez	numeric	2 unique values 0 missing
vacat	numeric	4 unique values 0 missing
tortur	numeric	5 unique values 0 missing
bartlet	numeric	6 unique values 0 missing
breath	numeric	3 unique values 0 missing
mari	numeric	3 unique values 0 missing
gainer	numeric	3 unique values 0 missing
plea	numeric	4 unique values 0 missing
sheer	numeric	2 unique values 0 missing
signific	numeric	17 unique values 0 missing
morri	numeric	9 unique values 0 missing
burn	numeric	4 unique values 0 missing
haitian	numeric	7 unique values 0 missing
basin	numeric	7 unique values 0 missing
overhaul	numeric	3 unique values 0 missing
reye	numeric	3 unique values 0 missing
remitt	numeric	2 unique values 0 missing
guardian	numeric	4 unique values 0 missing
reshap	numeric	2 unique values 0 missing
actual	numeric	19 unique values 0 missing
juarez	numeric	5 unique values 0 missing
thrown	numeric	5 unique values 0 missing
reconcil	numeric	5 unique values 0 missing
cry	numeric	3 unique values 0 missing
evalu	numeric	10 unique values 0 missing
honor	numeric	11 unique values 0 missing
shift	numeric	9 unique values 0 missing
phone	numeric	5 unique values 0 missing
nonexport	numeric	2 unique values 0 missing
ace	numeric	3 unique values 0 missing
sneak	numeric	3 unique values 0 missing
wari	numeric	2 unique values 0 missing
monei	numeric	24 unique values 0 missing
philosoph	numeric	3 unique values 0 missing
insight	numeric	2 unique values 0 missing
urgenc	numeric	3 unique values 0 missing
fowler	numeric	8 unique values 0 missing
eleph	numeric	2 unique values 0 missing
behold	numeric	2 unique values 0 missing
cripple	numeric	3 unique values 0 missing
concurr	numeric	8 unique values 0 missing
ordinarili	numeric	3 unique values 0 missing
westinghous	numeric	3 unique values 0 missing
slogan	numeric	3 unique values 0 missing
affluent	numeric	4 unique values 0 missing
barcelo	numeric	4 unique values 0 missing
hawaiian	numeric	2 unique values 0 missing
bandwidth	numeric	4 unique values 0 missing
valuat	numeric	4 unique values 0 missing
supern	numeric	2 unique values 0 missing
promotion	numeric	11 unique values 0 missing
steel	numeric	7 unique values 0 missing
smith	numeric	16 unique values 0 missing
foremost	numeric	5 unique values 0 missing
occasion	numeric	8 unique values 0 missing
lengthi	numeric	3 unique values 0 missing
harri	numeric	5 unique values 0 missing
pant	numeric	2 unique values 0 missing
licens	numeric	14 unique values 0 missing
burgeon	numeric	2 unique values 0 missing
king	numeric	7 unique values 0 missing
amt	numeric	5 unique values 0 missing
alaskan	numeric	3 unique values 0 missing
decri	numeric	2 unique values 0 missing
kansa	numeric	11 unique values 0 missing
apologi	numeric	2 unique values 0 missing
strictli	numeric	3 unique values 0 missing
harman	numeric	6 unique values 0 missing
outskirt	numeric	2 unique values 0 missing
invok	numeric	5 unique values 0 missing
charlie	numeric	4 unique values 0 missing
rival	numeric	4 unique values 0 missing
broaden	numeric	3 unique values 0 missing
sprai	numeric	3 unique values 0 missing
shorter	numeric	4 unique values 0 missing
charit	numeric	5 unique values 0 missing
shoe	numeric	6 unique values 0 missing
accredit	numeric	2 unique values 0 missing
proprietor	numeric	3 unique values 0 missing
hostag	numeric	4 unique values 0 missing
unanim	numeric	10 unique values 0 missing
remov	numeric	13 unique values 0 missing
basi	numeric	18 unique values 0 missing
gross	numeric	14 unique values 0 missing
william	numeric	12 unique values 0 missing
interim	numeric	5 unique values 0 missing
deviat	numeric	3 unique values 0 missing
transpar	numeric	3 unique values 0 missing
risen	numeric	4 unique values 0 missing
collect	numeric	14 unique values 0 missing
kolbe	numeric	17 unique values 0 missing
addition	numeric	24 unique values 0 missing
experiment	numeric	6 unique values 0 missing
ranger	numeric	5 unique values 0 missing
briefli	numeric	5 unique values 0 missing
error	numeric	8 unique values 0 missing
stenholm	numeric	9 unique values 0 missing
iran	numeric	4 unique values 0 missing
disposit	numeric	7 unique values 0 missing
turner	numeric	3 unique values 0 missing
wheel	numeric	5 unique values 0 missing
optic	numeric	4 unique values 0 missing
circumv	numeric	4 unique values 0 missing
guest	numeric	3 unique values 0 missing
patern	numeric	4 unique values 0 missing
uphold	numeric	4 unique values 0 missing
expedi	numeric	3 unique values 0 missing
romero	numeric	4 unique values 0 missing
recordkeep	numeric	4 unique values 0 missing
wallet	numeric	2 unique values 0 missing
invasion	numeric	4 unique values 0 missing
anticip	numeric	10 unique values 0 missing
tp	numeric	2 unique values 0 missing
belt	numeric	5 unique values 0 missing
couple	numeric	10 unique values 0 missing
item	numeric	13 unique values 0 missing
lifetim	numeric	5 unique values 0 missing
newport	numeric	3 unique values 0 missing
payer	numeric	5 unique values 0 missing
preach	numeric	2 unique values 0 missing
economi	numeric	26 unique values 0 missing
bureaucr	numeric	5 unique values 0 missing
treatment	numeric	13 unique values 0 missing
admittedli	numeric	2 unique values 0 missing
drunk	numeric	3 unique values 0 missing
check	numeric	11 unique values 0 missing
pose	numeric	5 unique values 0 missing
forcefulli	numeric	3 unique values 0 missing
gut	numeric	4 unique values 0 missing
trace	numeric	2 unique values 0 missing
memoranda	numeric	2 unique values 0 missing
academ	numeric	7 unique values 0 missing
fdic	numeric	4 unique values 0 missing
dollar	numeric	27 unique values 0 missing
closest	numeric	3 unique values 0 missing
vigil	numeric	4 unique values 0 missing
conceal	numeric	3 unique values 0 missing
reckless	numeric	4 unique values 0 missing
footwear	numeric	4 unique values 0 missing
fte	numeric	4 unique values 0 missing
video	numeric	4 unique values 0 missing
consortia	numeric	4 unique values 0 missing
request	numeric	20 unique values 0 missing
drug	numeric	21 unique values 0 missing
motor	numeric	14 unique values 0 missing
pric	numeric	7 unique values 0 missing
tube	numeric	5 unique values 0 missing
strain	numeric	3 unique values 0 missing
complem	numeric	4 unique values 0 missing
glad	numeric	5 unique values 0 missing
misunderstand	numeric	3 unique values 0 missing
quadrupl	numeric	3 unique values 0 missing
heaviest	numeric	3 unique values 0 missing
pictur	numeric	5 unique values 0 missing
besid	numeric	4 unique values 0 missing
warfar	numeric	3 unique values 0 missing
underlin	numeric	2 unique values 0 missing
prestigi	numeric	2 unique values 0 missing
combest	numeric	5 unique values 0 missing
behavior	numeric	6 unique values 0 missing
huffington	numeric	5 unique values 0 missing
femal	numeric	4 unique values 0 missing
spoon	numeric	2 unique values 0 missing
drama	numeric	2 unique values 0 missing
rest	numeric	12 unique values 0 missing
worthi	numeric	6 unique values 0 missing
adult	numeric	8 unique values 0 missing
citat	numeric	3 unique values 0 missing
virgin	numeric	7 unique values 0 missing
prepared	numeric	3 unique values 0 missing
nonpartisan	numeric	4 unique values 0 missing
shadow	numeric	3 unique values 0 missing
stripe	numeric	3 unique values 0 missing
mobil	numeric	8 unique values 0 missing
tak	numeric	15 unique values 0 missing
spring	numeric	5 unique values 0 missing
averag	numeric	23 unique values 0 missing
blow	numeric	4 unique values 0 missing
admir	numeric	4 unique values 0 missing
quo	numeric	10 unique values 0 missing
house	numeric	38 unique values 0 missing
gilbert	numeric	2 unique values 0 missing
slice	numeric	3 unique values 0 missing
shape	numeric	4 unique values 0 missing
growth	numeric	23 unique values 0 missing
foreign	numeric	31 unique values 0 missing
inclus	numeric	4 unique values 0 missing
alan	numeric	4 unique values 0 missing
forbidden	numeric	3 unique values 0 missing
diplomat	numeric	4 unique values 0 missing
rule	numeric	29 unique values 0 missing
defi	numeric	2 unique values 0 missing
plung	numeric	2 unique values 0 missing
inconsist	numeric	8 unique values 0 missing
unsatisfactori	numeric	2 unique values 0 missing
come	numeric	10 unique values 0 missing
unexpect	numeric	2 unique values 0 missing
parenthesi	numeric	3 unique values 0 missing
dog	numeric	3 unique values 0 missing
mc	numeric	6 unique values 0 missing
tenni	numeric	3 unique values 0 missing
spoil	numeric	2 unique values 0 missing
plow	numeric	2 unique values 0 missing
commut	numeric	4 unique values 0 missing
constitu	numeric	16 unique values 0 missing
hyph	numeric	6 unique values 0 missing
immedi	numeric	13 unique values 0 missing
qualiti	numeric	13 unique values 0 missing
sun	numeric	3 unique values 0 missing
resolut	numeric	19 unique values 0 missing
ernesto	numeric	2 unique values 0 missing
monitor	numeric	12 unique values 0 missing
book	numeric	12 unique values 0 missing
build	numeric	22 unique values 0 missing
extra	numeric	8 unique values 0 missing
badli	numeric	4 unique values 0 missing
develop	numeric	29 unique values 0 missing
inscript	numeric	3 unique values 0 missing
hop	numeric	5 unique values 0 missing
represent	numeric	7 unique values 0 missing
myer	numeric	7 unique values 0 missing
record	numeric	23 unique values 0 missing
serrano	numeric	5 unique values 0 missing
interamerican	numeric	3 unique values 0 missing
cop	numeric	5 unique values 0 missing
wilmington	numeric	2 unique values 0 missing
epidem	numeric	3 unique values 0 missing
viii	numeric	7 unique values 0 missing
academia	numeric	2 unique values 0 missing
herebi	numeric	6 unique values 0 missing
bradi	numeric	5 unique values 0 missing
chargeabl	numeric	4 unique values 0 missing
warner	numeric	2 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

336

Number of instances (rows) of the dataset.

NumberOfFeatures

7903

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

7902

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

Quartile2KurtosisOfNumericAtts

108.64

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

REPTreeDepth2Kappa

0.62

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

ClassEntropy

1.51

Entropy of the target attribute values.

kNN1NKappa

0.24

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

MajorityClassSize

231

Number of instances belonging to the most frequent class.

MinAttributeEntropy

Minimal entropy among attributes.

Quartile2MeansOfNumericAtts

0.06

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

REPTreeDepth3AUC

0.84

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

DecisionStumpAUC

0.75

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

MaxAttributeEntropy

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

-2.01

Minimum kurtosis among attributes of the numeric type.

Quartile2MutualInformation

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

REPTreeDepth3ErrRate

0.17

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

DecisionStumpErrRate

0.27

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

MaxKurtosisOfNumericAtts

335.87

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

0.01

Minimum of means among attributes of the numeric type.

Quartile2SkewnessOfNumericAtts

10.41

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

REPTreeDepth3Kappa

0.62

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

DecisionStumpKappa

0.21

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

MaxMeansOfNumericAtts

51.51

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

0.45

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

RandomTreeDepth1AUC

0.63

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

Dimensionality

23.52

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

0.41

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

-0.11

Minimum skewness among attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

165.7

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

0.48

Average class difference between consecutive instances.

RandomTreeDepth1Kappa

0.23

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

J48.00001.AUC

0.71

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

MaxSkewnessOfNumericAtts

18.32

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

0.09

Minimum standard deviation of attributes of the numeric type.

PercentageOfNumericFeatures

99.99

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

0.22

Third quartile of means among attributes of the numeric type.

CfsSubsetEval_DecisionStumpAUC

0.85

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

0.63

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

J48.00001.ErrRate

0.25

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

MaxStdDevOfNumericAtts

465.43

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

1.19

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

0.16

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

RandomTreeDepth2ErrRate

0.41

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

J48.00001.Kappa

0.47

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

12.41

Third quartile of skewness among attributes of the numeric type.

CfsSubsetEval_DecisionStumpKappa

0.65

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

0.23

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

J48.0001.AUC

0.71

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

MeanKurtosisOfNumericAtts

126.27

Mean kurtosis among attributes of the numeric type.

NaiveBayesAUC

0.73

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

Quartile1KurtosisOfNumericAtts

69.89

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

1.37

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

CfsSubsetEval_NaiveBayesAUC

0.85

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

0.63

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

J48.0001.ErrRate

0.25

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

MeanMeansOfNumericAtts

0.42

Mean of means among attributes of the numeric type.

NaiveBayesErrRate

0.51

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

Quartile1MeansOfNumericAtts

0.02

First quartile of means among attributes of the numeric type.

REPTreeDepth1AUC

0.84

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

CfsSubsetEval_NaiveBayesErrRate

0.16

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

RandomTreeDepth3ErrRate

0.41

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

J48.0001.Kappa

0.47

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

0.3

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

0.17

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

CfsSubsetEval_NaiveBayesKappa

0.65

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

0.23

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

J48.001.AUC

0.71

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

7.99

First quartile of skewness among attributes of the numeric type.

REPTreeDepth1Kappa

0.62

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

CfsSubsetEval_kNN1NAUC

0.85

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

0.25

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

0.84

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

CfsSubsetEval_kNN1NErrRate

0.16

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

kNN1NAUC

0.62

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

J48.001.Kappa

0.47

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

MeanSkewnessOfNumericAtts

10.3

Mean skewness among attributes of the numeric type.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

REPTreeDepth2ErrRate

0.17

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

CfsSubsetEval_kNN1NKappa

0.65

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

0.32

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

MajorityClassPercentage

68.75

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

2.92

Mean standard deviation of attributes of the numeric type.

Show all 107 properties

21 tasks

Supervised Classification on tr21.wc

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

Supervised Classification on tr21.wc

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

Supervised Regression on tr21.wc

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

Supervised Regression on tr21.wc

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

Supervised Regression on tr21.wc

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

Supervised Regression on tr21.wc

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

Supervised Regression on tr21.wc

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

Supervised Regression on tr21.wc

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

Supervised Regression on tr21.wc

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

Supervised Data Stream Classification on tr21.wc

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

Clustering on tr21.wc