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re1.wc

re1.wc

active Sparse_ARFF Publicly available Visibility: public Uploaded 28-09-2014 by Joaquin Vanschoren
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3759 features

CLASS_LABEL (target)nominal25 unique values
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jeannumeric2 unique values
0 missing
systemnumeric7 unique values
0 missing
quakenumeric4 unique values
0 missing
comprisnumeric3 unique values
0 missing
gramnumeric3 unique values
0 missing
robertnumeric5 unique values
0 missing
soilnumeric3 unique values
0 missing
liberalisnumeric3 unique values
0 missing
contextnumeric3 unique values
0 missing
bracketnumeric3 unique values
0 missing
gsmnumeric4 unique values
0 missing
dropnumeric7 unique values
0 missing
exnumeric5 unique values
0 missing
permannumeric4 unique values
0 missing
distributnumeric5 unique values
0 missing
notablnumeric2 unique values
0 missing
minnesotanumeric3 unique values
0 missing
relatnumeric4 unique values
0 missing
gavirianumeric5 unique values
0 missing
emergnumeric4 unique values
0 missing
reintegronumeric3 unique values
0 missing
deadlocknumeric2 unique values
0 missing
marylandnumeric3 unique values
0 missing
swedennumeric3 unique values
0 missing
rivernumeric7 unique values
0 missing
competnumeric2 unique values
0 missing
silvernumeric6 unique values
0 missing
delegnumeric12 unique values
0 missing
assumnumeric2 unique values
0 missing
glutnumeric2 unique values
0 missing
ludwigshafennumeric2 unique values
0 missing
concretnumeric2 unique values
0 missing
minernumeric9 unique values
0 missing
kengnumeric2 unique values
0 missing
washnumeric2 unique values
0 missing
sovereignnumeric2 unique values
0 missing
venezuelannumeric4 unique values
0 missing
pakistannumeric5 unique values
0 missing
imposnumeric4 unique values
0 missing
rupiahnumeric2 unique values
0 missing
quietnumeric3 unique values
0 missing
handlernumeric3 unique values
0 missing
fenumeric6 unique values
0 missing
assurnumeric3 unique values
0 missing
santonumeric5 unique values
0 missing
retendnumeric3 unique values
0 missing
archernumeric2 unique values
0 missing
relaxnumeric2 unique values
0 missing
mideastnumeric4 unique values
0 missing
graznumeric2 unique values
0 missing
comparisonnumeric3 unique values
0 missing
arablnumeric3 unique values
0 missing
safenumeric4 unique values
0 missing
lobbyistnumeric2 unique values
0 missing
enginnumeric4 unique values
0 missing
accompaninumeric2 unique values
0 missing
intendnumeric4 unique values
0 missing
zhejiangnumeric2 unique values
0 missing
sciencenumeric2 unique values
0 missing
haggardnumeric4 unique values
0 missing
ltdnumeric5 unique values
0 missing
looknumeric4 unique values
0 missing
romannumeric2 unique values
0 missing
formosanumeric2 unique values
0 missing
murphinumeric2 unique values
0 missing
allevinumeric2 unique values
0 missing
suhartonumeric3 unique values
0 missing
hernandeznumeric5 unique values
0 missing
overalnumeric4 unique values
0 missing
earliestnumeric2 unique values
0 missing
collabornumeric2 unique values
0 missing
broadnumeric2 unique values
0 missing
separnumeric3 unique values
0 missing
upcomnumeric2 unique values
0 missing
dumpnumeric3 unique values
0 missing
takeovnumeric2 unique values
0 missing
chinesnumeric4 unique values
0 missing
warshipnumeric4 unique values
0 missing
barenumeric2 unique values
0 missing
easilinumeric2 unique values
0 missing
therebinumeric2 unique values
0 missing
electrolytnumeric3 unique values
0 missing
kindnumeric2 unique values
0 missing
beliefnumeric3 unique values
0 missing
southeastnumeric3 unique values
0 missing
withdrewnumeric2 unique values
0 missing
hungernumeric4 unique values
0 missing
herringtonnumeric7 unique values
0 missing
reiternumeric3 unique values
0 missing
focusnumeric2 unique values
0 missing
tropicnumeric3 unique values
0 missing
pentagonnumeric3 unique values
0 missing
landnumeric6 unique values
0 missing
adversnumeric3 unique values
0 missing
chargnumeric3 unique values
0 missing
plungnumeric3 unique values
0 missing
benchmarknumeric3 unique values
0 missing
kingnumeric3 unique values
0 missing
violatnumeric3 unique values
0 missing
patricianumeric3 unique values
0 missing
accidnumeric3 unique values
0 missing
startnumeric6 unique values
0 missing
samuelnumeric2 unique values
0 missing
kanonnumeric5 unique values
0 missing
additnumeric3 unique values
0 missing
voicnumeric2 unique values
0 missing
paddinumeric5 unique values
0 missing
lanenumeric2 unique values
0 missing
ivorinumeric5 unique values
0 missing
atpcnumeric4 unique values
0 missing
colleagunumeric2 unique values
0 missing
seminarnumeric3 unique values
0 missing
petitionnumeric4 unique values
0 missing
believnumeric3 unique values
0 missing
urgnumeric4 unique values
0 missing
gathernumeric3 unique values
0 missing
intensnumeric3 unique values
0 missing
ganumeric11 unique values
0 missing
intellignumeric2 unique values
0 missing
butadiennumeric3 unique values
0 missing
seafarnumeric4 unique values
0 missing
westernnumeric5 unique values
0 missing
twinnumeric2 unique values
0 missing
ethanolnumeric3 unique values
0 missing
obstaclnumeric2 unique values
0 missing
indiananumeric3 unique values
0 missing
morocconumeric4 unique values
0 missing
additionnumeric4 unique values
0 missing
hunannumeric2 unique values
0 missing
chicagonumeric5 unique values
0 missing
formerlinumeric2 unique values
0 missing
grainnumeric13 unique values
0 missing
londonnumeric6 unique values
0 missing
provennumeric4 unique values
0 missing
parinumeric5 unique values
0 missing
supertanknumeric4 unique values
0 missing
ablenumeric3 unique values
0 missing
vigornumeric2 unique values
0 missing
slidnumeric2 unique values
0 missing
britainnumeric4 unique values
0 missing
saudinumeric11 unique values
0 missing
christinumeric2 unique values
0 missing
circlenumeric2 unique values
0 missing
misleadnumeric2 unique values
0 missing
dalenumeric2 unique values
0 missing
aegeannumeric8 unique values
0 missing
intentnumeric4 unique values
0 missing
technologinumeric5 unique values
0 missing
lynchnumeric3 unique values
0 missing
spacenumeric2 unique values
0 missing
stressnumeric2 unique values
0 missing
departnumeric7 unique values
0 missing
arminumeric4 unique values
0 missing
crashnumeric2 unique values
0 missing
bankruptcinumeric5 unique values
0 missing
umuaramanumeric2 unique values
0 missing
estimnumeric9 unique values
0 missing
ceremoninumeric2 unique values
0 missing
starchnumeric2 unique values
0 missing
guineanumeric5 unique values
0 missing
weeklinumeric3 unique values
0 missing
montagunumeric3 unique values
0 missing
positnumeric3 unique values
0 missing
regulnumeric4 unique values
0 missing
lessonnumeric2 unique values
0 missing
luinumeric2 unique values
0 missing
tenthnumeric3 unique values
0 missing
cathodnumeric4 unique values
0 missing
undevelopnumeric2 unique values
0 missing
movenumeric5 unique values
0 missing
francnumeric4 unique values
0 missing
condemnnumeric2 unique values
0 missing
treatmentnumeric2 unique values
0 missing
petrochemnumeric4 unique values
0 missing
viewnumeric3 unique values
0 missing
strikernumeric3 unique values
0 missing
jeddahnumeric2 unique values
0 missing
foundatnumeric2 unique values
0 missing
poornumeric3 unique values
0 missing
influencnumeric3 unique values
0 missing
whenevnumeric2 unique values
0 missing
lukmannumeric4 unique values
0 missing
magmanumeric2 unique values
0 missing
forwardnumeric4 unique values
0 missing
undertaknumeric2 unique values
0 missing
appraisnumeric2 unique values
0 missing
hawaiinumeric4 unique values
0 missing
surveinumeric5 unique values
0 missing
natonumeric4 unique values
0 missing
usanumeric2 unique values
0 missing
peanutnumeric3 unique values
0 missing
worthwhilnumeric2 unique values
0 missing
forfeiturnumeric2 unique values
0 missing
tolernumeric3 unique values
0 missing
passnumeric3 unique values
0 missing
executnumeric4 unique values
0 missing
announcnumeric5 unique values
0 missing
susceptnumeric3 unique values
0 missing
tillnumeric2 unique values
0 missing
renewnumeric5 unique values
0 missing
franknumeric2 unique values
0 missing
bargainnumeric2 unique values
0 missing
underwainumeric2 unique values
0 missing
parananumeric3 unique values
0 missing
usenumeric2 unique values
0 missing
danielnumeric2 unique values
0 missing
civiliannumeric2 unique values
0 missing
absolutnumeric2 unique values
0 missing
prefernumeric6 unique values
0 missing
pastnumeric4 unique values
0 missing
traditionnumeric2 unique values
0 missing
jointlinumeric3 unique values
0 missing
baselessnumeric3 unique values
0 missing
slipnumeric2 unique values
0 missing
reorganisnumeric3 unique values
0 missing
bringnumeric5 unique values
0 missing
diseasnumeric7 unique values
0 missing
commodnumeric7 unique values
0 missing
schemenumeric5 unique values
0 missing
windfallnumeric2 unique values
0 missing
yardnumeric4 unique values
0 missing
tuesdainumeric3 unique values
0 missing
hedgenumeric2 unique values
0 missing
inchenumeric2 unique values
0 missing
alexandrianumeric4 unique values
0 missing
directlinumeric2 unique values
0 missing
resistnumeric5 unique values
0 missing
thinnumeric2 unique values
0 missing
southernnumeric4 unique values
0 missing
polishnumeric3 unique values
0 missing
rainumeric2 unique values
0 missing
smelternumeric6 unique values
0 missing
practicnumeric3 unique values
0 missing
mozambiqunumeric2 unique values
0 missing
issuancnumeric2 unique values
0 missing
exxonnumeric6 unique values
0 missing
badlinumeric2 unique values
0 missing
metrenumeric4 unique values
0 missing
radionumeric4 unique values
0 missing
doublenumeric2 unique values
0 missing
urgenumeric3 unique values
0 missing
eaglenumeric3 unique values
0 missing
staleinumeric2 unique values
0 missing
basenumeric6 unique values
0 missing
impactnumeric4 unique values
0 missing
discussnumeric6 unique values
0 missing
nigerianumeric5 unique values
0 missing
monsoonnumeric3 unique values
0 missing
ghanaiannumeric2 unique values
0 missing
petrolnumeric4 unique values
0 missing
cheapernumeric2 unique values
0 missing
statenumeric2 unique values
0 missing
stimulnumeric3 unique values
0 missing
civilnumeric2 unique values
0 missing
dismantlnumeric3 unique values
0 missing
giantnumeric4 unique values
0 missing
goalnumeric2 unique values
0 missing
stalemnumeric2 unique values
0 missing
beveragnumeric3 unique values
0 missing
marketnumeric16 unique values
0 missing
revealnumeric2 unique values
0 missing
querinumeric2 unique values
0 missing
commonnumeric3 unique values
0 missing
readnumeric2 unique values
0 missing
unstablnumeric2 unique values
0 missing
encountnumeric2 unique values
0 missing
subsequnumeric2 unique values
0 missing
plummetnumeric2 unique values
0 missing
jobnumeric3 unique values
0 missing
shillnumeric2 unique values
0 missing
shearsonnumeric4 unique values
0 missing
brasilianumeric2 unique values
0 missing
learnnumeric2 unique values
0 missing
basinumeric4 unique values
0 missing
romanianumeric3 unique values
0 missing
rannumeric2 unique values
0 missing
condensnumeric3 unique values
0 missing
aggressnumeric4 unique values
0 missing
registrnumeric7 unique values
0 missing
managuanumeric3 unique values
0 missing
outletnumeric2 unique values
0 missing
bangladeshnumeric4 unique values
0 missing
bolivianumeric6 unique values
0 missing
cutbacknumeric4 unique values
0 missing
similarlinumeric2 unique values
0 missing
tonnenumeric20 unique values
0 missing
missilnumeric9 unique values
0 missing
anhuinumeric3 unique values
0 missing
iraniannumeric7 unique values
0 missing
wavenumeric3 unique values
0 missing
rawnumeric4 unique values
0 missing
soldnumeric4 unique values
0 missing
bertnumeric2 unique values
0 missing
realnumeric3 unique values
0 missing
cordobanumeric5 unique values
0 missing
contractornumeric3 unique values
0 missing
rationnumeric4 unique values
0 missing
hanumeric6 unique values
0 missing
joenumeric3 unique values
0 missing
patenumeric2 unique values
0 missing
mountainnumeric2 unique values
0 missing
lordnumeric3 unique values
0 missing
borrownumeric3 unique values
0 missing
belgiumnumeric4 unique values
0 missing
englandnumeric3 unique values
0 missing
weathernumeric8 unique values
0 missing
stockbroknumeric3 unique values
0 missing
financnumeric5 unique values
0 missing
principnumeric2 unique values
0 missing
ussnumeric3 unique values
0 missing
unusunumeric2 unique values
0 missing
stafnumeric3 unique values
0 missing
tradnumeric7 unique values
0 missing
labournumeric5 unique values
0 missing
pathnumeric2 unique values
0 missing
libyanumeric3 unique values
0 missing
merchantnumeric3 unique values
0 missing
germinnumeric2 unique values
0 missing
conceivnumeric2 unique values
0 missing
doesnnumeric3 unique values
0 missing
carbonnumeric4 unique values
0 missing
worrinumeric3 unique values
0 missing
auctionnumeric4 unique values
0 missing
discriminatorinumeric2 unique values
0 missing
usxnumeric4 unique values
0 missing
decreenumeric3 unique values
0 missing
stagnumeric3 unique values
0 missing
profitnumeric7 unique values
0 missing
jonnumeric2 unique values
0 missing
visitnumeric3 unique values
0 missing
educnumeric4 unique values
0 missing
julinumeric6 unique values
0 missing
crossnumeric4 unique values
0 missing
guerrillanumeric4 unique values
0 missing
shippernumeric3 unique values
0 missing
ozalnumeric2 unique values
0 missing
solenumeric2 unique values
0 missing
practisnumeric2 unique values
0 missing
significantlinumeric3 unique values
0 missing
onstreamnumeric2 unique values
0 missing
irannumeric8 unique values
0 missing
stainumeric3 unique values
0 missing
trannumeric4 unique values
0 missing
incidnumeric3 unique values
0 missing
silkwormnumeric4 unique values
0 missing
exploitnumeric2 unique values
0 missing
varietinumeric3 unique values
0 missing
leasenumeric5 unique values
0 missing

107 properties

1657
Number of instances (rows) of the dataset.
3759
Number of attributes (columns) of the dataset.
25
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.
3758
Number of numeric attributes.
1
Number of nominal attributes.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
0.28
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.74
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
0.34
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.9
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
25
Average number of distinct values among the attributes of the nominal type.
11.63
First quartile of skewness among attributes of the numeric type.
0.68
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.92
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.
0.22
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
17.37
Mean skewness among attributes of the numeric type.
0.06
First quartile of standard deviation of attributes of the numeric type.
0.92
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.23
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
0.66
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.75
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
0.17
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
0.28
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.74
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
0.58
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
22.39
Percentage of instances belonging to the most frequent class.
Minimal entropy among attributes.
327.39
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.68
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
3.79
Entropy of the target attribute values.
0.33
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
371
Number of instances belonging to the most frequent class.
7.83
Minimum kurtosis among attributes of the numeric type.
0.01
Second quartile (Median) of means among attributes of the numeric type.
0.92
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.67
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum entropy among attributes.
0
Minimum of means among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.28
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.6
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
1612
Maximum kurtosis among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
17.76
Second quartile (Median) of skewness among attributes of the numeric type.
0.68
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.23
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
1.34
Maximum of means among attributes of the numeric type.
25
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of binary attributes.
0.1
Second quartile (Median) of standard deviation of attributes of the numeric type.
0.68
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
2.27
Number of attributes divided by the number of instances.
Maximum mutual information between the nominal attributes and the target attribute.
2.88
Minimum skewness among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
0.58
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.
25
The maximum number of distinct values among attributes of the nominal type.
0.04
Minimum standard deviation of attributes of the numeric type.
0
Percentage of missing values.
548.99
Third quartile of kurtosis among attributes of the numeric type.
0.17
Average class difference between consecutive instances.
0.34
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.9
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
39.92
Maximum skewness among attributes of the numeric type.
0.6
Percentage of instances belonging to the least frequent class.
99.97
Percentage of numeric attributes.
0.02
Third quartile of means among attributes of the numeric type.
0.92
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
0.68
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.22
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
2.97
Maximum standard deviation of attributes of the numeric type.
10
Number of instances belonging to the least frequent class.
0.03
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
0.23
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
0.58
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.75
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Average entropy of the attributes.
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of entropy among attributes.
23.46
Third quartile of skewness among attributes of the numeric type.
0.74
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
0.34
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.9
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
379.64
Mean kurtosis among attributes of the numeric type.
0.37
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
154.99
First quartile of kurtosis among attributes of the numeric type.
0.19
Third quartile of standard deviation of attributes of the numeric type.
0.92
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
0.68
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.22
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.02
Mean of means among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
0.59
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0
First quartile of means among attributes of the numeric type.
0.92
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.23
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
0.58
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.75
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001

10 tasks

89 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL
70 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - 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
Define a new task