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tr31.wc

active Sparse_ARFF Publicly available Visibility: public Uploaded 28-09-2014 by Joaquin Vanschoren
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10129 features

CLASS_LABEL (target)	nominal	7 unique values 0 missing
cone	numeric	2 unique values 0 missing
luna	numeric	3 unique values 0 missing
former	numeric	20 unique values 0 missing
walid	numeric	2 unique values 0 missing
solar	numeric	3 unique values 0 missing
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panda	numeric	4 unique values 0 missing
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vladimir	numeric	6 unique values 0 missing
loyalti	numeric	5 unique values 0 missing
comment	numeric	13 unique values 0 missing
salina	numeric	5 unique values 0 missing
dispens	numeric	3 unique values 0 missing
calvert	numeric	7 unique values 0 missing
nasa	numeric	4 unique values 0 missing
lanto	numeric	8 unique values 0 missing
argum	numeric	8 unique values 0 missing
roja	numeric	2 unique values 0 missing
dissemin	numeric	6 unique values 0 missing
handmad	numeric	2 unique values 0 missing
undercov	numeric	5 unique values 0 missing
leonard	numeric	2 unique values 0 missing
articul	numeric	3 unique values 0 missing
isolationist	numeric	2 unique values 0 missing
hous	numeric	12 unique values 0 missing
vague	numeric	4 unique values 0 missing
taught	numeric	4 unique values 0 missing
plight	numeric	3 unique values 0 missing
kenya	numeric	5 unique values 0 missing
ample	numeric	2 unique values 0 missing
deflat	numeric	3 unique values 0 missing
inaccur	numeric	2 unique values 0 missing
threate	numeric	15 unique values 0 missing
sep	numeric	4 unique values 0 missing
kiev	numeric	5 unique values 0 missing
abet	numeric	2 unique values 0 missing
pa	numeric	4 unique values 0 missing
transmitt	numeric	4 unique values 0 missing
airmen	numeric	3 unique values 0 missing
commonsens	numeric	2 unique values 0 missing
saxon	numeric	3 unique values 0 missing
turnkei	numeric	3 unique values 0 missing
renminbi	numeric	4 unique values 0 missing
minzhang	numeric	3 unique values 0 missing
nonfarm	numeric	2 unique values 0 missing
heard	numeric	11 unique values 0 missing
epidem	numeric	7 unique values 0 missing
biologist	numeric	3 unique values 0 missing
straighten	numeric	3 unique values 0 missing
unspecifi	numeric	4 unique values 0 missing
escap	numeric	4 unique values 0 missing
branche	numeric	7 unique values 0 missing
capitul	numeric	2 unique values 0 missing
thought	numeric	3 unique values 0 missing
nadler	numeric	7 unique values 0 missing
answer	numeric	8 unique values 0 missing
dividend	numeric	4 unique values 0 missing
huila	numeric	2 unique values 0 missing
struck	numeric	4 unique values 0 missing
baoshan	numeric	3 unique values 0 missing
pend	numeric	6 unique values 0 missing
an	numeric	2 unique values 0 missing
biggest	numeric	6 unique values 0 missing
cosponsor	numeric	5 unique values 0 missing
costli	numeric	5 unique values 0 missing
starv	numeric	6 unique values 0 missing
voic	numeric	3 unique values 0 missing
ludicr	numeric	2 unique values 0 missing
footag	numeric	3 unique values 0 missing
nonreimburs	numeric	3 unique values 0 missing
enclav	numeric	3 unique values 0 missing
artifici	numeric	4 unique values 0 missing
ground	numeric	10 unique values 0 missing
magnet	numeric	5 unique values 0 missing
counselor	numeric	2 unique values 0 missing
geotherm	numeric	5 unique values 0 missing
predominantli	numeric	2 unique values 0 missing
warner	numeric	4 unique values 0 missing
rigid	numeric	3 unique values 0 missing
dentist	numeric	2 unique values 0 missing
buenaventura	numeric	3 unique values 0 missing
hoa	numeric	4 unique values 0 missing
belief	numeric	5 unique values 0 missing
defus	numeric	2 unique values 0 missing
male	numeric	5 unique values 0 missing
brisk	numeric	3 unique values 0 missing
dolphin	numeric	7 unique values 0 missing
abil	numeric	11 unique values 0 missing
low	numeric	11 unique values 0 missing
profound	numeric	5 unique values 0 missing
conting	numeric	5 unique values 0 missing
apiec	numeric	3 unique values 0 missing
compris	numeric	8 unique values 0 missing
do	numeric	15 unique values 0 missing
sinist	numeric	3 unique values 0 missing
assembli	numeric	12 unique values 0 missing
beleagu	numeric	2 unique values 0 missing
julian	numeric	3 unique values 0 missing
readili	numeric	4 unique values 0 missing
bao	numeric	6 unique values 0 missing
seq	numeric	6 unique values 0 missing
graveyard	numeric	2 unique values 0 missing
underdevelop	numeric	4 unique values 0 missing
colorado	numeric	7 unique values 0 missing
subparagraph	numeric	6 unique values 0 missing
piedmont	numeric	2 unique values 0 missing
eject	numeric	2 unique values 0 missing
squeez	numeric	3 unique values 0 missing
schizophren	numeric	2 unique values 0 missing
punish	numeric	7 unique values 0 missing
narcodollar	numeric	3 unique values 0 missing
turncoat	numeric	3 unique values 0 missing
justic	numeric	13 unique values 0 missing
trigger	numeric	4 unique values 0 missing
wherea	numeric	7 unique values 0 missing
uneas	numeric	2 unique values 0 missing
hemp	numeric	2 unique values 0 missing
accuraci	numeric	3 unique values 0 missing
clout	numeric	2 unique values 0 missing
weigh	numeric	3 unique values 0 missing
emin	numeric	4 unique values 0 missing
multimillion	numeric	2 unique values 0 missing
violat	numeric	12 unique values 0 missing
confidenti	numeric	6 unique values 0 missing
authoris	numeric	2 unique values 0 missing
mainstai	numeric	3 unique values 0 missing
decreas	numeric	9 unique values 0 missing
denni	numeric	3 unique values 0 missing
burn	numeric	7 unique values 0 missing
guard	numeric	10 unique values 0 missing
plane	numeric	9 unique values 0 missing
scale	numeric	12 unique values 0 missing
swamp	numeric	3 unique values 0 missing
packard	numeric	9 unique values 0 missing
ext	numeric	2 unique values 0 missing
verdict	numeric	4 unique values 0 missing
sander	numeric	7 unique values 0 missing
ayacucho	numeric	4 unique values 0 missing
blueprint	numeric	3 unique values 0 missing
longgang	numeric	2 unique values 0 missing
set	numeric	27 unique values 0 missing
net	numeric	12 unique values 0 missing
landmark	numeric	3 unique values 0 missing
entertain	numeric	4 unique values 0 missing
pretend	numeric	3 unique values 0 missing
northwestern	numeric	5 unique values 0 missing
baton	numeric	2 unique values 0 missing
korean	numeric	12 unique values 0 missing
platoon	numeric	4 unique values 0 missing
norm	numeric	6 unique values 0 missing
delgado	numeric	2 unique values 0 missing
extinguish	numeric	2 unique values 0 missing
consul	numeric	4 unique values 0 missing
sme	numeric	5 unique values 0 missing
reprimand	numeric	2 unique values 0 missing
intra	numeric	2 unique values 0 missing
protein	numeric	4 unique values 0 missing
tissue	numeric	4 unique values 0 missing
newscast	numeric	4 unique values 0 missing
monstrou	numeric	2 unique values 0 missing
tuna	numeric	7 unique values 0 missing
clearwat	numeric	4 unique values 0 missing
epson	numeric	3 unique values 0 missing
congression	numeric	13 unique values 0 missing
ruth	numeric	2 unique values 0 missing
wednesdai	numeric	8 unique values 0 missing
lai	numeric	6 unique values 0 missing
semi	numeric	4 unique values 0 missing
thwart	numeric	3 unique values 0 missing
moscow	numeric	8 unique values 0 missing
hire	numeric	5 unique values 0 missing
wag	numeric	4 unique values 0 missing
restrict	numeric	13 unique values 0 missing
luxuri	numeric	3 unique values 0 missing
aa	numeric	2 unique values 0 missing
clos	numeric	10 unique values 0 missing
promptli	numeric	6 unique values 0 missing
alkaloid	numeric	3 unique values 0 missing
exasper	numeric	2 unique values 0 missing
vina	numeric	2 unique values 0 missing
sex	numeric	3 unique values 0 missing
monopoli	numeric	6 unique values 0 missing
lightfoot	numeric	8 unique values 0 missing
referendum	numeric	4 unique values 0 missing
suicid	numeric	3 unique values 0 missing
bow	numeric	3 unique values 0 missing
styl	numeric	3 unique values 0 missing
wall	numeric	6 unique values 0 missing
armam	numeric	4 unique values 0 missing
ostensibli	numeric	2 unique values 0 missing
jakarta	numeric	6 unique values 0 missing
riina	numeric	4 unique values 0 missing
detect	numeric	6 unique values 0 missing
weather	numeric	5 unique values 0 missing
uruguayan	numeric	3 unique values 0 missing
vain	numeric	3 unique values 0 missing
sodium	numeric	2 unique values 0 missing
jef	numeric	3 unique values 0 missing
rude	numeric	4 unique values 0 missing
planner	numeric	4 unique values 0 missing
cling	numeric	3 unique values 0 missing
flour	numeric	3 unique values 0 missing
believ	numeric	23 unique values 0 missing
false	numeric	6 unique values 0 missing
bleak	numeric	2 unique values 0 missing
sadli	numeric	3 unique values 0 missing
humpback	numeric	3 unique values 0 missing
fr	numeric	5 unique values 0 missing
ir	numeric	3 unique values 0 missing
haig	numeric	2 unique values 0 missing
troop	numeric	16 unique values 0 missing
flake	numeric	7 unique values 0 missing
stearn	numeric	7 unique values 0 missing
dr	numeric	8 unique values 0 missing
nor	numeric	9 unique values 0 missing
avoid	numeric	9 unique values 0 missing
jewish	numeric	2 unique values 0 missing
crystall	numeric	3 unique values 0 missing
russia	numeric	19 unique values 0 missing
hainan	numeric	7 unique values 0 missing
realm	numeric	2 unique values 0 missing
flock	numeric	2 unique values 0 missing
archer	numeric	7 unique values 0 missing
number	numeric	5 unique values 0 missing
seal	numeric	8 unique values 0 missing
tighten	numeric	4 unique values 0 missing
potato	numeric	4 unique values 0 missing
bigger	numeric	3 unique values 0 missing
ballist	numeric	3 unique values 0 missing
unrest	numeric	3 unique values 0 missing
oxapampa	numeric	3 unique values 0 missing
puglia	numeric	3 unique values 0 missing
riot	numeric	6 unique values 0 missing
pine	numeric	5 unique values 0 missing
cassett	numeric	3 unique values 0 missing
quietli	numeric	3 unique values 0 missing
shrug	numeric	3 unique values 0 missing
ironi	numeric	3 unique values 0 missing
easem	numeric	3 unique values 0 missing
ridicul	numeric	2 unique values 0 missing
cutter	numeric	2 unique values 0 missing
burial	numeric	2 unique values 0 missing
bernard	numeric	2 unique values 0 missing
wire	numeric	5 unique values 0 missing
tyranni	numeric	3 unique values 0 missing
drop	numeric	9 unique values 0 missing
word	numeric	16 unique values 0 missing
wear	numeric	4 unique values 0 missing
sale	numeric	20 unique values 0 missing
hsu	numeric	3 unique values 0 missing
mandatori	numeric	7 unique values 0 missing
constitut	numeric	14 unique values 0 missing
tree	numeric	7 unique values 0 missing
kaptur	numeric	7 unique values 0 missing
course	numeric	12 unique values 0 missing
variou	numeric	15 unique values 0 missing
coleman	numeric	9 unique values 0 missing
underwai	numeric	3 unique values 0 missing
smith	numeric	14 unique values 0 missing
alicia	numeric	2 unique values 0 missing
skeptic	numeric	2 unique values 0 missing
mafioso	numeric	3 unique values 0 missing
pleasur	numeric	3 unique values 0 missing
reneg	numeric	3 unique values 0 missing
interf	numeric	3 unique values 0 missing
intens	numeric	7 unique values 0 missing
refut	numeric	3 unique values 0 missing
endow	numeric	4 unique values 0 missing
prototyp	numeric	4 unique values 0 missing
belt	numeric	4 unique values 0 missing
yonsei	numeric	2 unique values 0 missing
calam	numeric	3 unique values 0 missing
philosophi	numeric	3 unique values 0 missing
marketplac	numeric	3 unique values 0 missing
suzuki	numeric	6 unique values 0 missing
experiment	numeric	16 unique values 0 missing
clothe	numeric	3 unique values 0 missing
residu	numeric	4 unique values 0 missing
policeman	numeric	4 unique values 0 missing
mario	numeric	3 unique values 0 missing
homeless	numeric	4 unique values 0 missing
naewoe	numeric	3 unique values 0 missing
buffalo	numeric	4 unique values 0 missing
ecu	numeric	4 unique values 0 missing
grei	numeric	2 unique values 0 missing
heroic	numeric	2 unique values 0 missing
happen	numeric	15 unique values 0 missing
unimagin	numeric	3 unique values 0 missing
emotion	numeric	5 unique values 0 missing
cani	numeric	3 unique values 0 missing
notifi	numeric	7 unique values 0 missing
suarez	numeric	5 unique values 0 missing
cage	numeric	3 unique values 0 missing
handcuf	numeric	3 unique values 0 missing
not	numeric	14 unique values 0 missing
updat	numeric	4 unique values 0 missing
outset	numeric	2 unique values 0 missing
bought	numeric	5 unique values 0 missing
solemn	numeric	3 unique values 0 missing
boca	numeric	3 unique values 0 missing
tactic	numeric	8 unique values 0 missing
fraught	numeric	4 unique values 0 missing
furse	numeric	9 unique values 0 missing
swindler	numeric	2 unique values 0 missing
concern	numeric	23 unique values 0 missing
tire	numeric	5 unique values 0 missing
awaken	numeric	3 unique values 0 missing
moni	numeric	4 unique values 0 missing
porra	numeric	4 unique values 0 missing
subsidi	numeric	10 unique values 0 missing
modul	numeric	3 unique values 0 missing
gambino	numeric	3 unique values 0 missing
wreckag	numeric	2 unique values 0 missing
youngster	numeric	3 unique values 0 missing
ssangyong	numeric	3 unique values 0 missing
boquita	numeric	2 unique values 0 missing
datelin	numeric	3 unique values 0 missing
catchment	numeric	3 unique values 0 missing
undisturb	numeric	3 unique values 0 missing
aret	numeric	5 unique values 0 missing
turner	numeric	3 unique values 0 missing
brake	numeric	4 unique values 0 missing
caz	numeric	2 unique values 0 missing
unless	numeric	12 unique values 0 missing
onset	numeric	2 unique values 0 missing
iberian	numeric	3 unique values 0 missing
pertamina	numeric	4 unique values 0 missing
ruthless	numeric	3 unique values 0 missing
lightli	numeric	3 unique values 0 missing
allard	numeric	10 unique values 0 missing
type	numeric	13 unique values 0 missing
futil	numeric	4 unique values 0 missing
mccurdi	numeric	7 unique values 0 missing
schaefer	numeric	7 unique values 0 missing
utah	numeric	7 unique values 0 missing
johnson	numeric	15 unique values 0 missing
gingrich	numeric	8 unique values 0 missing
kuwait	numeric	3 unique values 0 missing
turkish	numeric	8 unique values 0 missing
dial	numeric	2 unique values 0 missing
ladder	numeric	3 unique values 0 missing
advisori	numeric	6 unique values 0 missing
indefens	numeric	2 unique values 0 missing
oust	numeric	2 unique values 0 missing
unjust	numeric	2 unique values 0 missing
tighter	numeric	3 unique values 0 missing
paraphras	numeric	2 unique values 0 missing
substant	numeric	4 unique values 0 missing
amado	numeric	2 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

927

Number of instances (rows) of the dataset.

NumberOfFeatures

10129

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

10128

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

MaxStdDevOfNumericAtts

90.01

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

0.22

Percentage of instances belonging to the least frequent class.

PercentageOfNumericFeatures

99.99

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

0.06

Third quartile of means among attributes of the numeric type.

CfsSubsetEval_DecisionStumpAUC

0.96

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

0.77

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

J48.00001.ErrRate

0.08

Error rate 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

0.08

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

0.35

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

J48.00001.Kappa

0.89

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

MeanKurtosisOfNumericAtts

323.1

Mean kurtosis among attributes of the numeric type.

NaiveBayesAUC

0.94

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

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile3SkewnessOfNumericAtts

19.35

Third quartile of skewness among attributes of the numeric type.

CfsSubsetEval_DecisionStumpKappa

0.89

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

0.53

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

J48.0001.AUC

0.95

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

MeanMeansOfNumericAtts

0.1

Mean of means among attributes of the numeric type.

NaiveBayesErrRate

0.16

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

Quartile1KurtosisOfNumericAtts

167.12

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

0.55

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

CfsSubsetEval_NaiveBayesAUC

0.96

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

0.77

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

J48.0001.ErrRate

0.08

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

MeanMutualInformation

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

NaiveBayesKappa

0.79

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

Quartile1MeansOfNumericAtts

0.01

First quartile of means among attributes of the numeric type.

REPTreeDepth1AUC

0.97

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

CfsSubsetEval_NaiveBayesErrRate

0.08

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

0.35

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

J48.0001.Kappa

0.89

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

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

0.13

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

CfsSubsetEval_NaiveBayesKappa

0.89

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

0.53

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

J48.001.AUC

0.95

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

MeanNominalAttDistinctValues

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

Quartile1SkewnessOfNumericAtts

12.24

First quartile of skewness among attributes of the numeric type.

REPTreeDepth1Kappa

0.83

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

CfsSubsetEval_kNN1NAUC

0.96

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

0.08

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

MeanSkewnessOfNumericAtts

16.24

Mean skewness among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

0.1

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

REPTreeDepth2AUC

0.97

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

CfsSubsetEval_kNN1NErrRate

0.08

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

0.74

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

J48.001.Kappa

0.89

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

MeanStdDevOfNumericAtts

0.9

Mean standard deviation of attributes of the numeric type.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

REPTreeDepth2ErrRate

0.13

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

CfsSubsetEval_kNN1NKappa

0.89

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

0.43

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

MajorityClassPercentage

37.97

Percentage of instances belonging to the most frequent class.

MinAttributeEntropy

Minimal entropy among attributes.

Quartile2KurtosisOfNumericAtts

277.03

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

REPTreeDepth2Kappa

0.83

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

ClassEntropy

2.23

Entropy of the target attribute values.

kNN1NKappa

0.44

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

MajorityClassSize

352

Number of instances belonging to the most frequent class.

MinKurtosisOfNumericAtts

-2

Minimum kurtosis among attributes of the numeric type.

Quartile2MeansOfNumericAtts

0.02

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

REPTreeDepth3AUC

0.97

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

DecisionStumpAUC

0.79

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

MaxAttributeEntropy

Maximum entropy among attributes.

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.

REPTreeDepth3ErrRate

0.13

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

DecisionStumpErrRate

0.42

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

MaxKurtosisOfNumericAtts

926.98

Maximum kurtosis among attributes of the numeric type.

MinMutualInformation

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

Quartile2SkewnessOfNumericAtts

15.59

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

REPTreeDepth3Kappa

0.83

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

DecisionStumpKappa

0.41

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

MaxMeansOfNumericAtts

12.06

Maximum of means among attributes of the numeric type.

MinNominalAttDistinctValues

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

PercentageOfBinaryFeatures

Percentage of binary attributes.

Quartile2StdDevOfNumericAtts

0.21

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

RandomTreeDepth1AUC

0.77

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

Dimensionality

10.93

Number of attributes divided by the number of instances.

MaxMutualInformation

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

MinSkewnessOfNumericAtts

0.01

Minimum skewness among attributes of the numeric type.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

RandomTreeDepth1ErrRate

0.35

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.

MinStdDevOfNumericAtts

0.06

Minimum standard deviation of attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

421.35

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

0.25

Average class difference between consecutive instances.

RandomTreeDepth1Kappa

0.53

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

J48.00001.AUC

0.95

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

MaxSkewnessOfNumericAtts

30.45

Maximum skewness among attributes of the numeric type.

Show all 107 properties

21 tasks

Supervised Classification on tr31.wc

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

Supervised Classification on tr31.wc

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

Supervised Regression on tr31.wc

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

Supervised Regression on tr31.wc

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

Supervised Regression on tr31.wc

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

Supervised Regression on tr31.wc

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

Supervised Regression on tr31.wc

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

Supervised Regression on tr31.wc

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

Supervised Regression on tr31.wc

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

Supervised Data Stream Classification on tr31.wc

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

Clustering on tr31.wc