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tr12.wc

tr12.wc

active Sparse_ARFF Publicly available Visibility: public Uploaded 28-09-2014 by Joaquin Vanschoren
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5805 features

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pushchinonumeric4 unique values
0 missing
rebuildnumeric3 unique values
0 missing
friendshipnumeric4 unique values
0 missing
rtnumeric3 unique values
0 missing
eximbanknumeric3 unique values
0 missing
processnumeric21 unique values
0 missing
handlenumeric4 unique values
0 missing
transmittnumeric5 unique values
0 missing
protestnumeric7 unique values
0 missing
decreenumeric6 unique values
0 missing
replinumeric3 unique values
0 missing
radionumeric11 unique values
0 missing
strainnumeric6 unique values
0 missing
earliestnumeric4 unique values
0 missing
daewoonumeric6 unique values
0 missing
mwnumeric5 unique values
0 missing
syndromnumeric2 unique values
0 missing
radiunumeric3 unique values
0 missing
coefficinumeric5 unique values
0 missing
monthnumeric10 unique values
0 missing
nmnumeric4 unique values
0 missing
charitnumeric4 unique values
0 missing
terroristnumeric8 unique values
0 missing
deepernumeric3 unique values
0 missing
usefulnumeric2 unique values
0 missing
zaryanumeric3 unique values
0 missing
sknumeric2 unique values
0 missing
tangiblnumeric2 unique values
0 missing
eatenumeric3 unique values
0 missing
wetnumeric3 unique values
0 missing
feasiblnumeric3 unique values
0 missing
berlinnumeric5 unique values
0 missing
capenumeric3 unique values
0 missing
factorinumeric9 unique values
0 missing
reconstructnumeric6 unique values
0 missing
spawnnumeric3 unique values
0 missing
jointnumeric15 unique values
0 missing
mountainnumeric6 unique values
0 missing
lovenumeric4 unique values
0 missing
cornnumeric3 unique values
0 missing
lessernumeric2 unique values
0 missing
stringentnumeric2 unique values
0 missing
domestnumeric14 unique values
0 missing
industrialistnumeric3 unique values
0 missing
musicnumeric4 unique values
0 missing
guerrillanumeric3 unique values
0 missing
smoothnumeric3 unique values
0 missing
forgottennumeric3 unique values
0 missing
consciounumeric2 unique values
0 missing
excusnumeric3 unique values
0 missing
malevnumeric3 unique values
0 missing
septembnumeric9 unique values
0 missing
vectornumeric5 unique values
0 missing
silvanumeric3 unique values
0 missing
dpanumeric3 unique values
0 missing
enactnumeric3 unique values
0 missing
qualifnumeric3 unique values
0 missing
marchnumeric12 unique values
0 missing
beyondnumeric5 unique values
0 missing
effortnumeric13 unique values
0 missing
formulanumeric4 unique values
0 missing
victimnumeric5 unique values
0 missing
comfortnumeric2 unique values
0 missing
streamlinnumeric2 unique values
0 missing
requisitnumeric3 unique values
0 missing
fengyunnumeric3 unique values
0 missing
betanumeric2 unique values
0 missing
secrecinumeric2 unique values
0 missing
passportnumeric2 unique values
0 missing
gustavonumeric3 unique values
0 missing
retreatnumeric3 unique values
0 missing
quantitnumeric3 unique values
0 missing
bnbnumeric3 unique values
0 missing
plagunumeric2 unique values
0 missing
odnumeric2 unique values
0 missing
adequnumeric3 unique values
0 missing
forecastnumeric5 unique values
0 missing
tuesdainumeric4 unique values
0 missing
wiesheunumeric3 unique values
0 missing
ennumeric2 unique values
0 missing
carnumeric8 unique values
0 missing
forbiddennumeric2 unique values
0 missing
acknowledgnumeric4 unique values
0 missing
leisurnumeric2 unique values
0 missing
andernumeric2 unique values
0 missing
gatnumeric3 unique values
0 missing
monolithnumeric2 unique values
0 missing
allevinumeric2 unique values
0 missing
subscribnumeric5 unique values
0 missing
donornumeric3 unique values
0 missing
beautinumeric3 unique values
0 missing
ancientnumeric3 unique values
0 missing
estatnumeric5 unique values
0 missing
orderlinumeric2 unique values
0 missing
locknumeric4 unique values
0 missing
overnightnumeric2 unique values
0 missing
encryptnumeric3 unique values
0 missing
shocknumeric3 unique values
0 missing
aminonumeric3 unique values
0 missing
airspacnumeric4 unique values
0 missing
hithertonumeric4 unique values
0 missing
livenumeric9 unique values
0 missing
grewnumeric4 unique values
0 missing
amountnumeric11 unique values
0 missing
wealthnumeric6 unique values
0 missing
meantnumeric3 unique values
0 missing
incidnumeric4 unique values
0 missing
ilbonumeric4 unique values
0 missing
multinnumeric4 unique values
0 missing
wirelessnumeric3 unique values
0 missing
classicnumeric2 unique values
0 missing
pakistaninumeric2 unique values
0 missing
necessitnumeric3 unique values
0 missing
implicnumeric2 unique values
0 missing
adanumeric3 unique values
0 missing
flourishnumeric3 unique values
0 missing
analognumeric4 unique values
0 missing
overlooknumeric2 unique values
0 missing
stricternumeric2 unique values
0 missing
leinumeric3 unique values
0 missing
intactnumeric2 unique values
0 missing
closnumeric6 unique values
0 missing
colonelnumeric4 unique values
0 missing
commutnumeric3 unique values
0 missing
khznumeric4 unique values
0 missing
interruptnumeric3 unique values
0 missing
remainnumeric10 unique values
0 missing
sealnumeric5 unique values
0 missing
surgenumeric3 unique values
0 missing
francnumeric4 unique values
0 missing
phasnumeric4 unique values
0 missing
backwardnumeric2 unique values
0 missing
couplnumeric4 unique values
0 missing
vietnamnumeric6 unique values
0 missing
renminnumeric3 unique values
0 missing
trailnumeric3 unique values
0 missing
reliancnumeric3 unique values
0 missing
shnumeric3 unique values
0 missing
confidentinumeric2 unique values
0 missing
avenumeric3 unique values
0 missing
restaurnumeric4 unique values
0 missing
waltznumeric4 unique values
0 missing
leknumeric3 unique values
0 missing
presentnumeric4 unique values
0 missing
advantagnumeric7 unique values
0 missing
electromagnetnumeric5 unique values
0 missing
strikenumeric17 unique values
0 missing
huntnumeric4 unique values
0 missing
flamenumeric2 unique values
0 missing
supposnumeric5 unique values
0 missing
deflectnumeric3 unique values
0 missing
overloadnumeric2 unique values
0 missing
jprnumeric5 unique values
0 missing
pravdanumeric5 unique values
0 missing
wheatenumeric6 unique values
0 missing
hampernumeric2 unique values
0 missing
computernumeric4 unique values
0 missing
systematnumeric4 unique values
0 missing
afterwardnumeric3 unique values
0 missing
pharmacinumeric3 unique values
0 missing
stratanumeric5 unique values
0 missing
damascunumeric4 unique values
0 missing
museumnumeric4 unique values
0 missing
estoniannumeric3 unique values
0 missing
bodnumeric2 unique values
0 missing
belanumeric2 unique values
0 missing
abstractnumeric5 unique values
0 missing
outstandnumeric4 unique values
0 missing
rainumeric5 unique values
0 missing
employnumeric6 unique values
0 missing
conflictnumeric9 unique values
0 missing
etnumeric4 unique values
0 missing
voivodshipnumeric4 unique values
0 missing
phdnumeric2 unique values
0 missing
historinumeric7 unique values
0 missing
bringnumeric9 unique values
0 missing
castnumeric5 unique values
0 missing
micronumeric3 unique values
0 missing
josefnumeric4 unique values
0 missing
lendnumeric5 unique values
0 missing
smoknumeric2 unique values
0 missing
customarinumeric3 unique values
0 missing
krasnodarnumeric3 unique values
0 missing
columnnumeric3 unique values
0 missing
sensiblnumeric3 unique values
0 missing
strivenumeric5 unique values
0 missing
lukanumeric3 unique values
0 missing
desknumeric4 unique values
0 missing
libyannumeric3 unique values
0 missing
hardnumeric8 unique values
0 missing
prerequisitnumeric4 unique values
0 missing
vicinnumeric3 unique values
0 missing
wagenumeric7 unique values
0 missing
smithnumeric3 unique values
0 missing
lanumeric3 unique values
0 missing
couplenumeric4 unique values
0 missing
quantumnumeric3 unique values
0 missing
sciencenumeric13 unique values
0 missing
revealnumeric4 unique values
0 missing
pipelinnumeric6 unique values
0 missing
expertisnumeric2 unique values
0 missing
tapnumeric3 unique values
0 missing
origina;numeric3 unique values
0 missing
faithnumeric4 unique values
0 missing
literaturnumeric3 unique values
0 missing
multipartinumeric3 unique values
0 missing
spiritunumeric5 unique values
0 missing
unconditnumeric3 unique values
0 missing
singlnumeric2 unique values
0 missing
vasilnumeric2 unique values
0 missing
botnumeric3 unique values
0 missing
bronzenumeric2 unique values
0 missing
follownumeric16 unique values
0 missing
ballistnumeric3 unique values
0 missing
invitnumeric6 unique values
0 missing
temporarilinumeric3 unique values
0 missing
validnumeric4 unique values
0 missing
hencenumeric3 unique values
0 missing
slightestnumeric2 unique values
0 missing
observatorinumeric2 unique values
0 missing
occupinumeric6 unique values
0 missing
aerospacnumeric7 unique values
0 missing
accidnumeric5 unique values
0 missing
dunumeric3 unique values
0 missing
antibiotnumeric4 unique values
0 missing
sleepnumeric2 unique values
0 missing
tomanumeric2 unique values
0 missing
highwainumeric5 unique values
0 missing
imeninumeric3 unique values
0 missing
agendanumeric4 unique values
0 missing
bloodinumeric3 unique values
0 missing
robertnumeric2 unique values
0 missing
tensionnumeric4 unique values
0 missing
coinnumeric3 unique values
0 missing
elderlinumeric3 unique values
0 missing
libertinumeric2 unique values
0 missing
uncertainnumeric3 unique values
0 missing
strategistnumeric3 unique values
0 missing
massivnumeric5 unique values
0 missing
revisionnumeric4 unique values
0 missing
tribunnumeric3 unique values
0 missing
phenylnumeric2 unique values
0 missing
randomnumeric5 unique values
0 missing
discussnumeric10 unique values
0 missing
orbitnumeric8 unique values
0 missing
causnumeric8 unique values
0 missing
sownumeric3 unique values
0 missing
spectralnumeric4 unique values
0 missing
prevailnumeric4 unique values
0 missing
proudnumeric2 unique values
0 missing
surplunumeric4 unique values
0 missing
decompositnumeric2 unique values
0 missing
rewardnumeric3 unique values
0 missing
superpownumeric4 unique values
0 missing
civicnumeric4 unique values
0 missing
tractornumeric3 unique values
0 missing
varnanumeric3 unique values
0 missing
alitalianumeric2 unique values
0 missing
cnenumeric4 unique values
0 missing
shrinknumeric3 unique values
0 missing
embraernumeric3 unique values
0 missing
warnnumeric6 unique values
0 missing
duplicnumeric3 unique values
0 missing
nasanumeric3 unique values
0 missing
alertnumeric3 unique values
0 missing
pollutnumeric5 unique values
0 missing
halfnumeric9 unique values
0 missing
ivanovnumeric3 unique values
0 missing
evennumeric5 unique values
0 missing
ssnumeric5 unique values
0 missing
surrendnumeric2 unique values
0 missing
probenumeric2 unique values
0 missing
closurnumeric3 unique values
0 missing
polyamidnumeric4 unique values
0 missing
defectornumeric3 unique values
0 missing
voternumeric5 unique values
0 missing
repainumeric5 unique values
0 missing
irenanumeric2 unique values
0 missing
voluntnumeric3 unique values
0 missing
thesinumeric2 unique values
0 missing
boomnumeric3 unique values
0 missing
traitornumeric4 unique values
0 missing
attachnumeric6 unique values
0 missing
setbacknumeric2 unique values
0 missing
munichnumeric3 unique values
0 missing
adversnumeric3 unique values
0 missing
steernumeric2 unique values
0 missing
wrotenumeric4 unique values
0 missing
reluctnumeric3 unique values
0 missing
chinumeric3 unique values
0 missing
antinumeric6 unique values
0 missing
letternumeric8 unique values
0 missing
stampnumeric3 unique values
0 missing
duesseldorfnumeric2 unique values
0 missing
seenumeric3 unique values
0 missing
metalworknumeric3 unique values
0 missing
compressornumeric3 unique values
0 missing
biotechnolognumeric2 unique values
0 missing
imprisonnumeric3 unique values
0 missing
romnumeric3 unique values
0 missing
consciousnumeric3 unique values
0 missing
leafnumeric3 unique values
0 missing
colanumeric3 unique values
0 missing
bostonnumeric3 unique values
0 missing
urbannumeric6 unique values
0 missing
precisnumeric7 unique values
0 missing
conventnumeric9 unique values
0 missing
bunumeric3 unique values
0 missing
readinumeric7 unique values
0 missing
branchnumeric8 unique values
0 missing
editornumeric4 unique values
0 missing
crabnumeric3 unique values
0 missing
comnumeric5 unique values
0 missing
stringnumeric3 unique values
0 missing
towardnumeric5 unique values
0 missing
burdennumeric5 unique values
0 missing
fermentnumeric5 unique values
0 missing
privacinumeric2 unique values
0 missing
cordialnumeric2 unique values
0 missing
granularnumeric3 unique values
0 missing
timernumeric3 unique values
0 missing
reclamnumeric2 unique values
0 missing
rabinnumeric4 unique values
0 missing
unpublishnumeric2 unique values
0 missing
barnumeric3 unique values
0 missing
gatewainumeric2 unique values
0 missing
novinumeric2 unique values
0 missing
sarajevonumeric3 unique values
0 missing
ionnumeric6 unique values
0 missing
helicoptnumeric6 unique values
0 missing
southwesternnumeric2 unique values
0 missing
forthnumeric4 unique values
0 missing
entitlnumeric5 unique values
0 missing
nativnumeric5 unique values
0 missing
caughtnumeric3 unique values
0 missing
xinhuanumeric4 unique values
0 missing
weekendnumeric2 unique values
0 missing
designnumeric13 unique values
0 missing
rechargnumeric2 unique values
0 missing
ournumeric2 unique values
0 missing
recipinumeric2 unique values
0 missing
tininumeric2 unique values
0 missing
swiftnumeric3 unique values
0 missing
abusnumeric4 unique values
0 missing
unrestrainnumeric3 unique values
0 missing
inventorinumeric2 unique values
0 missing
therebinumeric3 unique values
0 missing
inviolnumeric5 unique values
0 missing
obchodninumeric2 unique values
0 missing
rumblenumeric2 unique values
0 missing
shellnumeric5 unique values
0 missing
plasmidnumeric6 unique values
0 missing
photographnumeric3 unique values
0 missing
busenumeric4 unique values
0 missing

107 properties

313
Number of instances (rows) of the dataset.
5805
Number of attributes (columns) of the dataset.
8
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
5804
Number of numeric attributes.
1
Number of nominal attributes.
0.43
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
69.6
First quartile of kurtosis among attributes of the numeric type.
0.87
Third quartile of standard deviation of attributes of the numeric type.
0.91
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
0.61
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.23
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.17
Mean of means among attributes of the numeric type.
0.49
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.02
First quartile of means among attributes of the numeric type.
0.89
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.21
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
0.65
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.72
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
Average mutual information between the nominal attributes and the target attribute.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
0.29
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.75
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
0.21
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.89
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
7.86
First quartile of skewness among attributes of the numeric type.
0.64
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.91
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
0
Standard deviation of the number of distinct values among attributes of the nominal type.
0.23
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
8
Average number of distinct values among the attributes of the nominal type.
0.18
First quartile of standard deviation of attributes of the numeric type.
0.89
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.21
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
0.6
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.72
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
10.2
Mean skewness among attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
0.29
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.75
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
0.65
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
29.71
Percentage of instances belonging to the most frequent class.
1.15
Mean standard deviation of attributes of the numeric type.
100.97
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.64
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
2.77
Entropy of the target attribute values.
0.2
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
93
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
0.05
Second quartile (Median) of means among attributes of the numeric type.
0.89
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.69
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum entropy among attributes.
-1.85
Minimum kurtosis among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.29
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.61
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
313
Maximum kurtosis among attributes of the numeric type.
0.01
Minimum of means among attributes of the numeric type.
10.12
Second quartile (Median) of skewness among attributes of the numeric type.
0.64
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.19
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
21.39
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of binary attributes.
0.36
Second quartile (Median) of standard deviation of attributes of the numeric type.
0.61
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
18.55
Number of attributes divided by the number of instances.
Maximum mutual information between the nominal attributes and the target attribute.
8
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
0.65
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
8
The maximum number of distinct values among attributes of the nominal type.
-0.94
Minimum skewness among attributes of the numeric type.
0
Percentage of missing values.
154.2
Third quartile of kurtosis among attributes of the numeric type.
0.16
Average class difference between consecutive instances.
0.21
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.89
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
17.69
Maximum skewness among attributes of the numeric type.
0.06
Minimum standard deviation of attributes of the numeric type.
99.98
Percentage of numeric attributes.
0.13
Third quartile of means among attributes of the numeric type.
0.91
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
0.61
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.23
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
177.39
Maximum standard deviation of attributes of the numeric type.
2.88
Percentage of instances belonging to the least frequent class.
0.02
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
0.21
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
0.65
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.72
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Average entropy of the attributes.
9
Number of instances belonging to the least frequent class.
First quartile of entropy among attributes.
11.97
Third quartile of skewness among attributes of the numeric type.
0.75
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
0.21
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.89
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
122.33
Mean kurtosis among attributes of the numeric type.
0.81
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes

10 tasks

121 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL
90 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: class
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: class
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: CLASS_LABEL
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
Define a new task