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wap.wc

active Sparse_ARFF Publicly available Visibility: public Uploaded 28-09-2014 by Joaquin Vanschoren
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8461 features

CLASS_LABEL (target)	nominal	20 unique values 0 missing
daniell	numeric	4 unique values 0 missing
strict	numeric	3 unique values 0 missing
m	numeric	3 unique values 0 missing
mode	numeric	3 unique values 0 missing
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lynyrd	numeric	2 unique values 0 missing
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barnei	numeric	2 unique values 0 missing
pathet	numeric	2 unique values 0 missing
breathnach	numeric	2 unique values 0 missing
fought	numeric	3 unique values 0 missing
michell	numeric	3 unique values 0 missing
patron	numeric	2 unique values 0 missing
superb	numeric	2 unique values 0 missing
icke	numeric	5 unique values 0 missing
preem	numeric	4 unique values 0 missing
renaiss	numeric	3 unique values 0 missing
philadelphia	numeric	4 unique values 0 missing
reportedli	numeric	4 unique values 0 missing
kick	numeric	4 unique values 0 missing
pathogen	numeric	3 unique values 0 missing
style	numeric	3 unique values 0 missing
computer	numeric	3 unique values 0 missing
notion	numeric	3 unique values 0 missing
mikael	numeric	2 unique values 0 missing
cool	numeric	4 unique values 0 missing
injur	numeric	4 unique values 0 missing
bag	numeric	5 unique values 0 missing
midwai	numeric	2 unique values 0 missing
fender	numeric	3 unique values 0 missing
lang	numeric	4 unique values 0 missing
notic	numeric	3 unique values 0 missing
nfl	numeric	4 unique values 0 missing
breathtak	numeric	3 unique values 0 missing
think	numeric	5 unique values 0 missing
stellar	numeric	2 unique values 0 missing
rebuild	numeric	3 unique values 0 missing
base	numeric	4 unique values 0 missing
brace	numeric	4 unique values 0 missing
platinum	numeric	3 unique values 0 missing
slump	numeric	3 unique values 0 missing
stockhold	numeric	3 unique values 0 missing
flu	numeric	6 unique values 0 missing
therapist	numeric	3 unique values 0 missing
gte	numeric	4 unique values 0 missing
signatur	numeric	2 unique values 0 missing
dire	numeric	2 unique values 0 missing
mcbeal	numeric	3 unique values 0 missing
rocki	numeric	3 unique values 0 missing
verge	numeric	2 unique values 0 missing
luxuri	numeric	2 unique values 0 missing
taxi	numeric	3 unique values 0 missing
canton	numeric	5 unique values 0 missing
telethon	numeric	3 unique values 0 missing
chemokin	numeric	3 unique values 0 missing
deplor	numeric	2 unique values 0 missing
certifi	numeric	5 unique values 0 missing
bse	numeric	2 unique values 0 missing
depend	numeric	3 unique values 0 missing
tomorrow	numeric	2 unique values 0 missing
awash	numeric	3 unique values 0 missing
songstress	numeric	2 unique values 0 missing
medvedev	numeric	2 unique values 0 missing
hercul	numeric	2 unique values 0 missing
disnei	numeric	9 unique values 0 missing
harbing	numeric	2 unique values 0 missing
jovi	numeric	5 unique values 0 missing
hour	numeric	7 unique values 0 missing
caught	numeric	4 unique values 0 missing
band	numeric	8 unique values 0 missing
gram	numeric	4 unique values 0 missing
rac	numeric	3 unique values 0 missing
mccain	numeric	6 unique values 0 missing
deadlin	numeric	4 unique values 0 missing
depress	numeric	9 unique values 0 missing
seriou	numeric	5 unique values 0 missing
rul	numeric	3 unique values 0 missing
weekli	numeric	6 unique values 0 missing
antitrust	numeric	5 unique values 0 missing
clog	numeric	3 unique values 0 missing
plac	numeric	6 unique values 0 missing
hungri	numeric	2 unique values 0 missing
fear	numeric	4 unique values 0 missing
ovarian	numeric	3 unique values 0 missing
spi	numeric	3 unique values 0 missing
dominiqu	numeric	2 unique values 0 missing
shelter	numeric	4 unique values 0 missing
hunger	numeric	2 unique values 0 missing
donna	numeric	2 unique values 0 missing
household	numeric	10 unique values 0 missing
linson	numeric	3 unique values 0 missing
deveraux	numeric	2 unique values 0 missing
britain	numeric	4 unique values 0 missing
coleman	numeric	2 unique values 0 missing
amount	numeric	4 unique values 0 missing
msnbc	numeric	3 unique values 0 missing
heineken	numeric	4 unique values 0 missing
villain	numeric	3 unique values 0 missing
newton	numeric	3 unique values 0 missing
argentin	numeric	5 unique values 0 missing
slave	numeric	2 unique values 0 missing
poletti	numeric	2 unique values 0 missing
dairi	numeric	3 unique values 0 missing
civil	numeric	3 unique values 0 missing
server	numeric	6 unique values 0 missing
brenda	numeric	2 unique values 0 missing
global	numeric	6 unique values 0 missing
paranoid	numeric	2 unique values 0 missing
intric	numeric	2 unique values 0 missing
run	numeric	8 unique values 0 missing
sofa	numeric	2 unique values 0 missing
bosnia	numeric	4 unique values 0 missing
kuerten	numeric	4 unique values 0 missing
retir	numeric	6 unique values 0 missing
ashlei	numeric	4 unique values 0 missing
blazer	numeric	4 unique values 0 missing
boxe	numeric	2 unique values 0 missing
involv	numeric	5 unique values 0 missing
spectacl	numeric	2 unique values 0 missing
especi	numeric	3 unique values 0 missing
perkin	numeric	2 unique values 0 missing
sweet	numeric	5 unique values 0 missing
riaa	numeric	3 unique values 0 missing
scientist	numeric	5 unique values 0 missing
verifi	numeric	2 unique values 0 missing
wrist	numeric	3 unique values 0 missing
nelson	numeric	3 unique values 0 missing
repli	numeric	2 unique values 0 missing
businessman	numeric	2 unique values 0 missing
lachlan	numeric	4 unique values 0 missing
travel	numeric	7 unique values 0 missing
disagre	numeric	2 unique values 0 missing
seagram	numeric	7 unique values 0 missing
collegi	numeric	2 unique values 0 missing
failur	numeric	4 unique values 0 missing
fo	numeric	5 unique values 0 missing
grant	numeric	7 unique values 0 missing
esther	numeric	3 unique values 0 missing
surgic	numeric	4 unique values 0 missing
naval	numeric	3 unique values 0 missing
intervent	numeric	4 unique values 0 missing
find	numeric	5 unique values 0 missing
truli	numeric	3 unique values 0 missing
whisper	numeric	3 unique values 0 missing
index	numeric	5 unique values 0 missing
cloud	numeric	3 unique values 0 missing
controll	numeric	4 unique values 0 missing
tea	numeric	3 unique values 0 missing
charmer	numeric	4 unique values 0 missing
neufeld	numeric	3 unique values 0 missing
ada	numeric	4 unique values 0 missing
aftershock	numeric	4 unique values 0 missing
phone	numeric	7 unique values 0 missing
typ	numeric	4 unique values 0 missing
petition	numeric	3 unique values 0 missing
watanab	numeric	3 unique values 0 missing
crisi	numeric	4 unique values 0 missing
defin	numeric	3 unique values 0 missing
charm	numeric	2 unique values 0 missing
triple	numeric	2 unique values 0 missing
paint	numeric	6 unique values 0 missing
carmen	numeric	3 unique values 0 missing
benkoe	numeric	2 unique values 0 missing
reshuffl	numeric	4 unique values 0 missing
miniseri	numeric	6 unique values 0 missing
rodman	numeric	3 unique values 0 missing
hous	numeric	2 unique values 0 missing
ca	numeric	2 unique values 0 missing
bang	numeric	3 unique values 0 missing
bind	numeric	5 unique values 0 missing
migrain	numeric	3 unique values 0 missing
documentari	numeric	5 unique values 0 missing
employ	numeric	4 unique values 0 missing
acknowledg	numeric	3 unique values 0 missing
cheap	numeric	3 unique values 0 missing
rup	numeric	2 unique values 0 missing
seinfeld	numeric	3 unique values 0 missing
greek	numeric	4 unique values 0 missing
nobilo	numeric	5 unique values 0 missing
boom	numeric	3 unique values 0 missing
ted	numeric	5 unique values 0 missing
jump	numeric	5 unique values 0 missing
portray	numeric	3 unique values 0 missing
editor	numeric	7 unique values 0 missing
weil	numeric	3 unique values 0 missing
touchdown	numeric	3 unique values 0 missing
strikeout	numeric	2 unique values 0 missing
ripple	numeric	2 unique values 0 missing
vista	numeric	3 unique values 0 missing
jake	numeric	4 unique values 0 missing
weisbach	numeric	2 unique values 0 missing
viewer	numeric	5 unique values 0 missing
pivot	numeric	2 unique values 0 missing
telecast	numeric	2 unique values 0 missing
ruthless	numeric	2 unique values 0 missing
taxman	numeric	2 unique values 0 missing
margin	numeric	3 unique values 0 missing
mgm	numeric	6 unique values 0 missing
surrog	numeric	3 unique values 0 missing
sculptur	numeric	3 unique values 0 missing
sure	numeric	2 unique values 0 missing
bank	numeric	9 unique values 0 missing
dipego	numeric	3 unique values 0 missing
music	numeric	13 unique values 0 missing
starrer	numeric	4 unique values 0 missing
exex	numeric	3 unique values 0 missing
congenit	numeric	2 unique values 0 missing
fly	numeric	3 unique values 0 missing
ralph	numeric	4 unique values 0 missing
southeastern	numeric	3 unique values 0 missing
wgaw	numeric	3 unique values 0 missing
shower	numeric	3 unique values 0 missing
boon	numeric	2 unique values 0 missing
wormwood	numeric	3 unique values 0 missing
sygma	numeric	2 unique values 0 missing
sudden	numeric	3 unique values 0 missing
stride	numeric	2 unique values 0 missing
entertain	numeric	7 unique values 0 missing
diet	numeric	10 unique values 0 missing
cume	numeric	2 unique values 0 missing
painter	numeric	2 unique values 0 missing
confidenti	numeric	2 unique values 0 missing
kiss	numeric	5 unique values 0 missing
similar	numeric	4 unique values 0 missing
renee	numeric	3 unique values 0 missing
lahti	numeric	3 unique values 0 missing
urgent	numeric	2 unique values 0 missing
interperson	numeric	2 unique values 0 missing
touche	numeric	2 unique values 0 missing
accept	numeric	5 unique values 0 missing
prix	numeric	3 unique values 0 missing
shorten	numeric	3 unique values 0 missing
mission	numeric	3 unique values 0 missing
canne	numeric	4 unique values 0 missing
intimid	numeric	3 unique values 0 missing
frontier	numeric	3 unique values 0 missing
academi	numeric	8 unique values 0 missing
classif	numeric	4 unique values 0 missing
reclaim	numeric	2 unique values 0 missing
brooke	numeric	2 unique values 0 missing
fine	numeric	5 unique values 0 missing
mondai	numeric	10 unique values 0 missing
blank	numeric	3 unique values 0 missing
nimitz	numeric	3 unique values 0 missing
dirk	numeric	3 unique values 0 missing
nightli	numeric	3 unique values 0 missing
tragic	numeric	2 unique values 0 missing
loss	numeric	9 unique values 0 missing
vanessa	numeric	2 unique values 0 missing
concept	numeric	3 unique values 0 missing
reiser	numeric	2 unique values 0 missing
clarenc	numeric	2 unique values 0 missing
provinc	numeric	3 unique values 0 missing
lashe	numeric	2 unique values 0 missing
glad	numeric	3 unique values 0 missing
onlin	numeric	18 unique values 0 missing
needlessli	numeric	2 unique values 0 missing
incestu	numeric	2 unique values 0 missing
pascal	numeric	2 unique values 0 missing
rembrandt	numeric	4 unique values 0 missing
investig	numeric	8 unique values 0 missing
alloc	numeric	2 unique values 0 missing
notif	numeric	2 unique values 0 missing
claim	numeric	6 unique values 0 missing
root	numeric	3 unique values 0 missing
rout	numeric	2 unique values 0 missing
surf	numeric	3 unique values 0 missing
advent	numeric	2 unique values 0 missing
bash	numeric	4 unique values 0 missing
invari	numeric	3 unique values 0 missing
downtown	numeric	2 unique values 0 missing
battle	numeric	4 unique values 0 missing
burton	numeric	3 unique values 0 missing
sleepless	numeric	2 unique values 0 missing
claude	numeric	2 unique values 0 missing
deputi	numeric	3 unique values 0 missing
authoritarian	numeric	2 unique values 0 missing
eager	numeric	3 unique values 0 missing
melros	numeric	3 unique values 0 missing
tactil	numeric	3 unique values 0 missing
amidst	numeric	2 unique values 0 missing
edgar	numeric	2 unique values 0 missing
shriver	numeric	3 unique values 0 missing
robyn	numeric	2 unique values 0 missing
abigail	numeric	2 unique values 0 missing
surgeri	numeric	9 unique values 0 missing
indian	numeric	8 unique values 0 missing
conjunct	numeric	3 unique values 0 missing
liquor	numeric	3 unique values 0 missing
block	numeric	6 unique values 0 missing
chart	numeric	7 unique values 0 missing
allman	numeric	2 unique values 0 missing
spread	numeric	5 unique values 0 missing
tempt	numeric	2 unique values 0 missing
joei	numeric	2 unique values 0 missing
laugh	numeric	3 unique values 0 missing
hispan	numeric	3 unique values 0 missing
adulthood	numeric	3 unique values 0 missing
parker	numeric	4 unique values 0 missing
purpos	numeric	3 unique values 0 missing
bookend	numeric	2 unique values 0 missing
maine	numeric	2 unique values 0 missing
pittsburgh	numeric	3 unique values 0 missing
recount	numeric	2 unique values 0 missing
garret	numeric	3 unique values 0 missing
circumcis	numeric	3 unique values 0 missing
spencer	numeric	3 unique values 0 missing
firm	numeric	5 unique values 0 missing
info	numeric	3 unique values 0 missing
green	numeric	4 unique values 0 missing
benjamin	numeric	2 unique values 0 missing
boot	numeric	4 unique values 0 missing
committe	numeric	8 unique values 0 missing
bout	numeric	3 unique values 0 missing
particular	numeric	3 unique values 0 missing
willing	numeric	2 unique values 0 missing
donat	numeric	7 unique values 0 missing
bottle	numeric	4 unique values 0 missing
ullman	numeric	3 unique values 0 missing
yaphet	numeric	2 unique values 0 missing
ridlei	numeric	3 unique values 0 missing
romanc	numeric	4 unique values 0 missing
jai	numeric	3 unique values 0 missing
allerg	numeric	6 unique values 0 missing
rain	numeric	3 unique values 0 missing
uproar	numeric	3 unique values 0 missing
mafia	numeric	2 unique values 0 missing
zhang	numeric	4 unique values 0 missing
million	numeric	16 unique values 0 missing
gold	numeric	7 unique values 0 missing
contagi	numeric	2 unique values 0 missing
depriv	numeric	2 unique values 0 missing
cb	numeric	13 unique values 0 missing
caller	numeric	2 unique values 0 missing
callawai	numeric	2 unique values 0 missing
aaron	numeric	4 unique values 0 missing
yve	numeric	2 unique values 0 missing
headquart	numeric	3 unique values 0 missing
truck	numeric	6 unique values 0 missing
congress	numeric	5 unique values 0 missing
heydai	numeric	2 unique values 0 missing
prosper	numeric	2 unique values 0 missing
blam	numeric	3 unique values 0 missing
aris	numeric	2 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

1560

Number of instances (rows) of the dataset.

NumberOfFeatures

8461

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

8460

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

REPTreeDepth3AUC

0.85

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

DecisionStumpAUC

0.65

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

MaxAttributeEntropy

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

0.93

Minimum kurtosis among attributes of the numeric type.

Quartile2MeansOfNumericAtts

0.01

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

REPTreeDepth3ErrRate

0.4

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

DecisionStumpErrRate

0.69

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

MaxKurtosisOfNumericAtts

1532.95

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

0.55

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

DecisionStumpKappa

0.15

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

MaxMeansOfNumericAtts

2.4

Maximum of means among attributes of the numeric type.

MinMutualInformation

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

Quartile2SkewnessOfNumericAtts

17.42

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

RandomTreeDepth1AUC

0.67

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

Dimensionality

5.42

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

0.1

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

RandomTreeDepth1ErrRate

0.6

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

-0.73

Minimum skewness among attributes of the numeric type.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

RandomTreeDepth1Kappa

0.33

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

J48.00001.AUC

0.81

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

MaxSkewnessOfNumericAtts

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

Minimum standard deviation of attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

516.66

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

0.11

Average class difference between consecutive instances.

RandomTreeDepth2AUC

0.67

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

J48.00001.ErrRate

0.38

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

MaxStdDevOfNumericAtts

2.86

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

0.32

Percentage of instances belonging to the least frequent class.

PercentageOfNumericFeatures

99.99

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

0.02

Third quartile of means among attributes of the numeric type.

CfsSubsetEval_DecisionStumpAUC

0.83

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

0.6

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

J48.00001.Kappa

0.57

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.

PercentageOfSymbolicFeatures

0.01

Percentage of nominal attributes.

Quartile3MutualInformation

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

CfsSubsetEval_DecisionStumpErrRate

0.36

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

0.33

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

J48.0001.AUC

0.81

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

MeanKurtosisOfNumericAtts

356.19

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

22.76

Third quartile of skewness among attributes of the numeric type.

CfsSubsetEval_DecisionStumpKappa

0.6

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

0.83

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

0.38

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

MeanMeansOfNumericAtts

0.03

Mean of means among attributes of the numeric type.

NaiveBayesErrRate

0.31

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

Quartile1KurtosisOfNumericAtts

151.5

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_NaiveBayesErrRate

0.36

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

0.6

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

J48.0001.Kappa

0.57

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanMutualInformation

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

NaiveBayesKappa

0.65

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

Quartile1MeansOfNumericAtts

First quartile of means among attributes of the numeric type.

REPTreeDepth1AUC

0.85

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

CfsSubsetEval_NaiveBayesKappa

0.6

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

0.33

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

J48.001.AUC

0.81

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

0.4

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

CfsSubsetEval_kNN1NAUC

0.83

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

0.38

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

11.72

First quartile of skewness among attributes of the numeric type.

REPTreeDepth1Kappa

0.55

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

REPTreeDepth2AUC

0.85

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

CfsSubsetEval_kNN1NErrRate

0.36

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

0.63

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

J48.001.Kappa

0.57

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

MeanSkewnessOfNumericAtts

16.93

Mean skewness among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

0.06

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

REPTreeDepth2ErrRate

0.4

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

CfsSubsetEval_kNN1NKappa

0.6

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

0.69

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

MajorityClassPercentage

21.86

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

0.55

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

ClassEntropy

3.72

Entropy of the target attribute values.

kNN1NKappa

0.26

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

MajorityClassSize

341

Number of instances belonging to the most frequent class.

MinAttributeEntropy

Minimal entropy among attributes.

Quartile2KurtosisOfNumericAtts

307.99

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

Show all 107 properties

22 tasks

Supervised Classification on wap.wc

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

Supervised Classification on wap.wc

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

Supervised Classification on wap.wc

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

Supervised Regression on wap.wc

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

Supervised Regression on wap.wc

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

Supervised Regression on wap.wc

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

Supervised Regression on wap.wc

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

Supervised Regression on wap.wc

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

Supervised Regression on wap.wc

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

Supervised Regression on wap.wc

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

Supervised Data Stream Classification on wap.wc

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

Clustering on wap.wc