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tr23.wc

active Sparse_ARFF Publicly available Visibility: public Uploaded 28-09-2014 by Joaquin Vanschoren
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5833 features

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worthwhil	numeric	5 unique values 0 missing
somehow	numeric	8 unique values 0 missing
roger	numeric	10 unique values 0 missing
handout	numeric	4 unique values 0 missing
great	numeric	3 unique values 0 missing
behalf	numeric	8 unique values 0 missing
malawi	numeric	2 unique values 0 missing
appall	numeric	3 unique values 0 missing
schedul	numeric	10 unique values 0 missing
barbara	numeric	4 unique values 0 missing
tent	numeric	3 unique values 0 missing
east	numeric	8 unique values 0 missing
creator	numeric	3 unique values 0 missing
stimul	numeric	6 unique values 0 missing
bust	numeric	2 unique values 0 missing
paperwork	numeric	3 unique values 0 missing
extract	numeric	4 unique values 0 missing
variabl	numeric	2 unique values 0 missing
barcia	numeric	9 unique values 0 missing
dreier	numeric	9 unique values 0 missing
flourish	numeric	3 unique values 0 missing
indirectli	numeric	3 unique values 0 missing
emit	numeric	2 unique values 0 missing
car	numeric	19 unique values 0 missing
persist	numeric	3 unique values 0 missing
assess	numeric	10 unique values 0 missing
logic	numeric	6 unique values 0 missing
advisori	numeric	7 unique values 0 missing
spain	numeric	4 unique values 0 missing
unsaf	numeric	3 unique values 0 missing
centum	numeric	4 unique values 0 missing
radar	numeric	4 unique values 0 missing
insidi	numeric	2 unique values 0 missing
girl	numeric	3 unique values 0 missing
minut	numeric	22 unique values 0 missing
cotton	numeric	3 unique values 0 missing
petroleum	numeric	8 unique values 0 missing
howard	numeric	3 unique values 0 missing
avalanch	numeric	2 unique values 0 missing
chang	numeric	14 unique values 0 missing
audit	numeric	7 unique values 0 missing
taiwan	numeric	4 unique values 0 missing
roemer	numeric	10 unique values 0 missing
postur	numeric	3 unique values 0 missing
cdbg	numeric	6 unique values 0 missing
announc	numeric	13 unique values 0 missing
stand	numeric	13 unique values 0 missing
politician	numeric	5 unique values 0 missing
uk	numeric	8 unique values 0 missing
breache	numeric	2 unique values 0 missing
eleg	numeric	2 unique values 0 missing
storei	numeric	3 unique values 0 missing
mode	numeric	3 unique values 0 missing
wv	numeric	3 unique values 0 missing
tri	numeric	9 unique values 0 missing
codifi	numeric	3 unique values 0 missing
kent	numeric	2 unique values 0 missing
permit	numeric	9 unique values 0 missing
protectionist	numeric	4 unique values 0 missing
flem	numeric	3 unique values 0 missing
unanim	numeric	14 unique values 0 missing
scene	numeric	3 unique values 0 missing
role	numeric	11 unique values 0 missing
subdivis	numeric	4 unique values 0 missing
kanjorski	numeric	8 unique values 0 missing
gauge	numeric	3 unique values 0 missing
somewh	numeric	6 unique values 0 missing
incarcer	numeric	5 unique values 0 missing
amp	numeric	11 unique values 0 missing
educ	numeric	17 unique values 0 missing
ongo	numeric	7 unique values 0 missing
except	numeric	16 unique values 0 missing
emphasis	numeric	2 unique values 0 missing
pot	numeric	3 unique values 0 missing
six	numeric	6 unique values 0 missing
ammunit	numeric	5 unique values 0 missing
triumph	numeric	3 unique values 0 missing
ground	numeric	11 unique values 0 missing
referendum	numeric	3 unique values 0 missing
leg	numeric	4 unique values 0 missing
light	numeric	8 unique values 0 missing
bet	numeric	4 unique values 0 missing
turbin	numeric	6 unique values 0 missing
budgetari	numeric	9 unique values 0 missing
abolish	numeric	4 unique values 0 missing
indiana	numeric	14 unique values 0 missing
retain	numeric	8 unique values 0 missing
gram	numeric	8 unique values 0 missing
truman	numeric	4 unique values 0 missing
summar	numeric	3 unique values 0 missing
annex	numeric	5 unique values 0 missing
placem	numeric	3 unique values 0 missing
field	numeric	15 unique values 0 missing
programm	numeric	5 unique values 0 missing
regular	numeric	8 unique values 0 missing
dawn	numeric	3 unique values 0 missing
silicon	numeric	3 unique values 0 missing
twice	numeric	7 unique values 0 missing
intermediari	numeric	3 unique values 0 missing
explanatori	numeric	4 unique values 0 missing
tightli	numeric	2 unique values 0 missing
midnight	numeric	2 unique values 0 missing
steep	numeric	2 unique values 0 missing
april	numeric	6 unique values 0 missing
useless	numeric	4 unique values 0 missing
mine	numeric	12 unique values 0 missing
bureaucrat	numeric	3 unique values 0 missing
nightmar	numeric	3 unique values 0 missing
found	numeric	9 unique values 0 missing
editor	numeric	3 unique values 0 missing
ak	numeric	7 unique values 0 missing
book	numeric	6 unique values 0 missing
gentlewoman	numeric	12 unique values 0 missing
merchant	numeric	3 unique values 0 missing
establish	numeric	17 unique values 0 missing
hon	numeric	5 unique values 0 missing
eventu	numeric	5 unique values 0 missing
deliv	numeric	8 unique values 0 missing
parachut	numeric	2 unique values 0 missing
stride	numeric	3 unique values 0 missing
boast	numeric	3 unique values 0 missing
trio	numeric	3 unique values 0 missing
junior	numeric	2 unique values 0 missing
corpor	numeric	16 unique values 0 missing
lao	numeric	3 unique values 0 missing
feather	numeric	3 unique values 0 missing
walk	numeric	5 unique values 0 missing
fragil	numeric	3 unique values 0 missing
china	numeric	7 unique values 0 missing
griffith	numeric	2 unique values 0 missing
nagasaki	numeric	2 unique values 0 missing
sight	numeric	4 unique values 0 missing
guaranti	numeric	4 unique values 0 missing
al	numeric	8 unique values 0 missing
municipa;	numeric	3 unique values 0 missing
someplac	numeric	3 unique values 0 missing
overzeal	numeric	3 unique values 0 missing
notic	numeric	10 unique values 0 missing
slipperi	numeric	4 unique values 0 missing
healthi	numeric	5 unique values 0 missing
instruct	numeric	7 unique values 0 missing
payof	numeric	4 unique values 0 missing
dovetail	numeric	2 unique values 0 missing
centre	numeric	3 unique values 0 missing
byrd	numeric	4 unique values 0 missing
cia	numeric	3 unique values 0 missing
success	numeric	12 unique values 0 missing
spill	numeric	4 unique values 0 missing
below	numeric	12 unique values 0 missing
dual	numeric	8 unique values 0 missing
norm	numeric	2 unique values 0 missing
defin	numeric	11 unique values 0 missing
timelin	numeric	2 unique values 0 missing
goodi	numeric	2 unique values 0 missing
safe	numeric	10 unique values 0 missing
maglev	numeric	3 unique values 0 missing
jobless	numeric	3 unique values 0 missing
nearli	numeric	10 unique values 0 missing
listen	numeric	10 unique values 0 missing
reauthor	numeric	7 unique values 0 missing
rule	numeric	21 unique values 0 missing
georgian	numeric	2 unique values 0 missing
bylin	numeric	3 unique values 0 missing
indigen	numeric	3 unique values 0 missing
bang	numeric	3 unique values 0 missing
ris	numeric	5 unique values 0 missing
japanes	numeric	8 unique values 0 missing
diabet	numeric	3 unique values 0 missing
cio	numeric	4 unique values 0 missing
detect	numeric	3 unique values 0 missing
mercuri	numeric	3 unique values 0 missing
data	numeric	10 unique values 0 missing
reimburs	numeric	12 unique values 0 missing
testifi	numeric	7 unique values 0 missing
trust	numeric	14 unique values 0 missing
quickli	numeric	10 unique values 0 missing
ineffect	numeric	4 unique values 0 missing
gone	numeric	8 unique values 0 missing
whichev	numeric	3 unique values 0 missing
murphi	numeric	8 unique values 0 missing
black	numeric	7 unique values 0 missing
filipino	numeric	3 unique values 0 missing
drift	numeric	4 unique values 0 missing
worthi	numeric	7 unique values 0 missing
unanticip	numeric	4 unique values 0 missing
sum	numeric	9 unique values 0 missing
root	numeric	4 unique values 0 missing
dole	numeric	5 unique values 0 missing
investig	numeric	10 unique values 0 missing
tom	numeric	5 unique values 0 missing
eda	numeric	5 unique values 0 missing
drainag	numeric	5 unique values 0 missing
morn	numeric	6 unique values 0 missing
outweigh	numeric	5 unique values 0 missing
direct	numeric	17 unique values 0 missing
prai	numeric	2 unique values 0 missing
payer	numeric	5 unique values 0 missing
german	numeric	8 unique values 0 missing
neglig	numeric	4 unique values 0 missing
bunch	numeric	3 unique values 0 missing
lawrenc	numeric	5 unique values 0 missing
civilian	numeric	9 unique values 0 missing
aw	numeric	3 unique values 0 missing
altern	numeric	15 unique values 0 missing
mortgage	numeric	3 unique values 0 missing
volkswagen	numeric	3 unique values 0 missing
central	numeric	13 unique values 0 missing
havoc	numeric	3 unique values 0 missing
zero	numeric	6 unique values 0 missing
chariti	numeric	2 unique values 0 missing
aide	numeric	3 unique values 0 missing
ranch	numeric	2 unique values 0 missing
museum	numeric	3 unique values 0 missing
withhold	numeric	3 unique values 0 missing
sympathet	numeric	3 unique values 0 missing
inc	numeric	4 unique values 0 missing
silent	numeric	3 unique values 0 missing
hesit	numeric	3 unique values 0 missing
telegraph	numeric	3 unique values 0 missing
aggress	numeric	6 unique values 0 missing
tirelessli	numeric	2 unique values 0 missing
precari	numeric	3 unique values 0 missing
iniki	numeric	4 unique values 0 missing
tuesdai	numeric	3 unique values 0 missing
ration	numeric	5 unique values 0 missing
oklahoma	numeric	4 unique values 0 missing
rebuild	numeric	8 unique values 0 missing
endur	numeric	4 unique values 0 missing
mess	numeric	3 unique values 0 missing
spur	numeric	4 unique values 0 missing
cetera	numeric	3 unique values 0 missing
glass	numeric	5 unique values 0 missing
week	numeric	16 unique values 0 missing
motiv	numeric	4 unique values 0 missing
telecommun	numeric	8 unique values 0 missing
explain	numeric	10 unique values 0 missing
gulf	numeric	6 unique values 0 missing
composit	numeric	4 unique values 0 missing
gratifi	numeric	2 unique values 0 missing
harkin	numeric	3 unique values 0 missing
survei	numeric	7 unique values 0 missing
flower	numeric	3 unique values 0 missing
honesti	numeric	3 unique values 0 missing
division	numeric	5 unique values 0 missing
discretion	numeric	5 unique values 0 missing
command	numeric	7 unique values 0 missing
bring	numeric	19 unique values 0 missing
et	numeric	10 unique values 0 missing
velazquez	numeric	8 unique values 0 missing
coffee	numeric	3 unique values 0 missing
postpon	numeric	3 unique values 0 missing
boulder	numeric	4 unique values 0 missing
household	numeric	6 unique values 0 missing
faleomavaega	numeric	7 unique values 0 missing
paper	numeric	6 unique values 0 missing
chile	numeric	5 unique values 0 missing
zealand	numeric	3 unique values 0 missing
circul	numeric	5 unique values 0 missing
trustee	numeric	3 unique values 0 missing
subscript	numeric	4 unique values 0 missing
ferdinand	numeric	2 unique values 0 missing
halt	numeric	4 unique values 0 missing
laudabl	numeric	2 unique values 0 missing
constantli	numeric	4 unique values 0 missing
liter	numeric	7 unique values 0 missing
unpleas	numeric	3 unique values 0 missing
break	numeric	8 unique values 0 missing
seismic	numeric	6 unique values 0 missing
aug	numeric	4 unique values 0 missing
disappear	numeric	4 unique values 0 missing
staf	numeric	13 unique values 0 missing
exploratori	numeric	2 unique values 0 missing
armi	numeric	13 unique values 0 missing
reorgan	numeric	5 unique values 0 missing
cornerston	numeric	4 unique values 0 missing
prioriti	numeric	16 unique values 0 missing
underwai	numeric	6 unique values 0 missing
warn	numeric	5 unique values 0 missing
count	numeric	8 unique values 0 missing
agribusi	numeric	3 unique values 0 missing
seal	numeric	3 unique values 0 missing
reviv	numeric	3 unique values 0 missing
contempl	numeric	4 unique values 0 missing
proceed	numeric	6 unique values 0 missing
impos	numeric	9 unique values 0 missing
korean	numeric	3 unique values 0 missing
estim	numeric	17 unique values 0 missing
voice	numeric	9 unique values 0 missing
burdensom	numeric	3 unique values 0 missing
origin	numeric	10 unique values 0 missing
sba	numeric	8 unique values 0 missing
massiv	numeric	7 unique values 0 missing
rag	numeric	3 unique values 0 missing
stai	numeric	9 unique values 0 missing
rust	numeric	2 unique values 0 missing
left	numeric	12 unique values 0 missing
successor	numeric	5 unique values 0 missing
outlook	numeric	5 unique values 0 missing
realign	numeric	6 unique values 0 missing
priorit	numeric	3 unique values 0 missing
_an	numeric	2 unique values 0 missing
charit	numeric	3 unique values 0 missing
uruguai	numeric	4 unique values 0 missing
tonne	numeric	5 unique values 0 missing
french	numeric	4 unique values 0 missing
confere	numeric	7 unique values 0 missing
superpow	numeric	5 unique values 0 missing
undertak	numeric	5 unique values 0 missing
redevelop	numeric	4 unique values 0 missing
station	numeric	13 unique values 0 missing
inpati	numeric	6 unique values 0 missing
haunt	numeric	3 unique values 0 missing
board	numeric	11 unique values 0 missing
strongest	numeric	5 unique values 0 missing
aftermath	numeric	3 unique values 0 missing
state	numeric	12 unique values 0 missing
head	numeric	16 unique values 0 missing
multipli	numeric	4 unique values 0 missing
singl	numeric	3 unique values 0 missing
interven	numeric	2 unique values 0 missing
upward	numeric	3 unique values 0 missing
scot	numeric	9 unique values 0 missing
globe	numeric	6 unique values 0 missing
minist	numeric	7 unique values 0 missing
amid	numeric	2 unique values 0 missing
detent	numeric	2 unique values 0 missing
digit	numeric	2 unique values 0 missing
scrap	numeric	3 unique values 0 missing
bite	numeric	3 unique values 0 missing
crown	numeric	2 unique values 0 missing
protocol	numeric	4 unique values 0 missing
safeguard	numeric	4 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

204

Number of instances (rows) of the dataset.

NumberOfFeatures

5833

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

5832

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

Quartile2KurtosisOfNumericAtts

66.15

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

REPTreeDepth2Kappa

0.75

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

ClassEntropy

2.1

Entropy of the target attribute values.

kNN1NKappa

0.17

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

MajorityClassSize

Number of instances belonging to the most frequent class.

MinAttributeEntropy

Minimal entropy among attributes.

Quartile2MeansOfNumericAtts

0.09

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

0.83

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

MaxAttributeEntropy

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

-1.96

Minimum kurtosis among attributes of the numeric type.

Quartile2MutualInformation

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

REPTreeDepth3ErrRate

0.18

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

DecisionStumpErrRate

0.37

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

MaxKurtosisOfNumericAtts

204

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

0.01

Minimum of means among attributes of the numeric type.

Quartile2SkewnessOfNumericAtts

8.12

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

REPTreeDepth3Kappa

0.75

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

DecisionStumpKappa

0.46

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

MaxMeansOfNumericAtts

59.61

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

0.57

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

RandomTreeDepth1AUC

0.67

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

Dimensionality

28.59

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

0.49

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

-0.42

Minimum skewness among attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

100.77

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

0.24

Average class difference between consecutive instances.

RandomTreeDepth1Kappa

0.32

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

J48.00001.AUC

0.89

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

MaxSkewnessOfNumericAtts

14.28

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

0.12

Minimum standard deviation of attributes of the numeric type.

PercentageOfNumericFeatures

99.98

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

0.29

Third quartile of means among attributes of the numeric type.

CfsSubsetEval_DecisionStumpAUC

0.9

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

0.67

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

J48.00001.ErrRate

0.16

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

MaxStdDevOfNumericAtts

232.07

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

2.94

Percentage of instances belonging to the least frequent class.

PercentageOfSymbolicFeatures

0.02

Percentage of nominal attributes.

Quartile3MutualInformation

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

CfsSubsetEval_DecisionStumpErrRate

0.16

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

0.49

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

J48.00001.Kappa

0.77

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

9.64

Third quartile of skewness among attributes of the numeric type.

CfsSubsetEval_DecisionStumpKappa

0.77

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

0.32

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

J48.0001.AUC

0.89

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

MeanKurtosisOfNumericAtts

79.93

Mean kurtosis among attributes of the numeric type.

NaiveBayesAUC

0.74

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

Quartile1KurtosisOfNumericAtts

46.4

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

1.51

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

CfsSubsetEval_NaiveBayesAUC

0.9

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

0.67

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

J48.0001.ErrRate

0.16

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

MeanMeansOfNumericAtts

0.41

Mean of means among attributes of the numeric type.

NaiveBayesErrRate

0.48

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

Quartile1MeansOfNumericAtts

0.03

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

0.16

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

0.49

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

J48.0001.Kappa

0.77

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

0.41

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

0.18

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

CfsSubsetEval_NaiveBayesKappa

0.77

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

0.89

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

MeanNoiseToSignalRatio

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

NumberOfBinaryFeatures

Number of binary attributes.

Quartile1SkewnessOfNumericAtts

6.38

First quartile of skewness among attributes of the numeric type.

REPTreeDepth1Kappa

0.75

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

CfsSubsetEval_kNN1NAUC

0.9

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

0.16

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

0.25

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

0.16

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

0.57

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

J48.001.Kappa

0.77

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

MeanSkewnessOfNumericAtts

8.24

Mean skewness among attributes of the numeric type.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

REPTreeDepth2ErrRate

0.18

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

CfsSubsetEval_kNN1NKappa

0.77

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

0.5

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

MajorityClassPercentage

44.61

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

2.16

Mean standard deviation of attributes of the numeric type.

Show all 107 properties

21 tasks

Supervised Classification on tr23.wc

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

Supervised Classification on tr23.wc

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

Supervised Regression on tr23.wc

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

Supervised Regression on tr23.wc

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

Supervised Regression on tr23.wc

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

Supervised Regression on tr23.wc

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

Supervised Regression on tr23.wc

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

Supervised Regression on tr23.wc

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

Supervised Regression on tr23.wc

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

Supervised Data Stream Classification on tr23.wc

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

Clustering on tr23.wc