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tr23.wc

tr23.wc

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

CLASS_LABEL (target)nominal6 unique values
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austinnumeric3 unique values
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xvinumeric2 unique values
0 missing
aidnumeric15 unique values
0 missing
inquirnumeric4 unique values
0 missing
watchenumeric2 unique values
0 missing
suitablnumeric3 unique values
0 missing
mtnumeric3 unique values
0 missing
incrediblinumeric2 unique values
0 missing
indexnumeric5 unique values
0 missing
unanswnumeric4 unique values
0 missing
picturnumeric7 unique values
0 missing
spacenumeric13 unique values
0 missing
accednumeric2 unique values
0 missing
careernumeric7 unique values
0 missing
notwithstandnumeric12 unique values
0 missing
petenumeric5 unique values
0 missing
tropicnumeric3 unique values
0 missing
mannernumeric8 unique values
0 missing
mcinninumeric7 unique values
0 missing
arizonanumeric9 unique values
0 missing
compliancnumeric10 unique values
0 missing
workloadnumeric4 unique values
0 missing
imminnumeric2 unique values
0 missing
worthwhilnumeric5 unique values
0 missing
somehownumeric8 unique values
0 missing
rogernumeric10 unique values
0 missing
handoutnumeric4 unique values
0 missing
greatnumeric3 unique values
0 missing
behalfnumeric8 unique values
0 missing
malawinumeric2 unique values
0 missing
appallnumeric3 unique values
0 missing
schedulnumeric10 unique values
0 missing
barbaranumeric4 unique values
0 missing
tentnumeric3 unique values
0 missing
eastnumeric8 unique values
0 missing
creatornumeric3 unique values
0 missing
stimulnumeric6 unique values
0 missing
bustnumeric2 unique values
0 missing
paperworknumeric3 unique values
0 missing
extractnumeric4 unique values
0 missing
variablnumeric2 unique values
0 missing
barcianumeric9 unique values
0 missing
dreiernumeric9 unique values
0 missing
flourishnumeric3 unique values
0 missing
indirectlinumeric3 unique values
0 missing
emitnumeric2 unique values
0 missing
carnumeric19 unique values
0 missing
persistnumeric3 unique values
0 missing
assessnumeric10 unique values
0 missing
logicnumeric6 unique values
0 missing
advisorinumeric7 unique values
0 missing
spainnumeric4 unique values
0 missing
unsafnumeric3 unique values
0 missing
centumnumeric4 unique values
0 missing
radarnumeric4 unique values
0 missing
insidinumeric2 unique values
0 missing
girlnumeric3 unique values
0 missing
minutnumeric22 unique values
0 missing
cottonnumeric3 unique values
0 missing
petroleumnumeric8 unique values
0 missing
howardnumeric3 unique values
0 missing
avalanchnumeric2 unique values
0 missing
changnumeric14 unique values
0 missing
auditnumeric7 unique values
0 missing
taiwannumeric4 unique values
0 missing
roemernumeric10 unique values
0 missing
posturnumeric3 unique values
0 missing
cdbgnumeric6 unique values
0 missing
announcnumeric13 unique values
0 missing
standnumeric13 unique values
0 missing
politiciannumeric5 unique values
0 missing
uknumeric8 unique values
0 missing
breachenumeric2 unique values
0 missing
elegnumeric2 unique values
0 missing
storeinumeric3 unique values
0 missing
modenumeric3 unique values
0 missing
wvnumeric3 unique values
0 missing
trinumeric9 unique values
0 missing
codifinumeric3 unique values
0 missing
kentnumeric2 unique values
0 missing
permitnumeric9 unique values
0 missing
protectionistnumeric4 unique values
0 missing
flemnumeric3 unique values
0 missing
unanimnumeric14 unique values
0 missing
scenenumeric3 unique values
0 missing
rolenumeric11 unique values
0 missing
subdivisnumeric4 unique values
0 missing
kanjorskinumeric8 unique values
0 missing
gaugenumeric3 unique values
0 missing
somewhnumeric6 unique values
0 missing
incarcernumeric5 unique values
0 missing
ampnumeric11 unique values
0 missing
educnumeric17 unique values
0 missing
ongonumeric7 unique values
0 missing
exceptnumeric16 unique values
0 missing
emphasisnumeric2 unique values
0 missing
potnumeric3 unique values
0 missing
sixnumeric6 unique values
0 missing
ammunitnumeric5 unique values
0 missing
triumphnumeric3 unique values
0 missing
groundnumeric11 unique values
0 missing
referendumnumeric3 unique values
0 missing
legnumeric4 unique values
0 missing
lightnumeric8 unique values
0 missing
betnumeric4 unique values
0 missing
turbinnumeric6 unique values
0 missing
budgetarinumeric9 unique values
0 missing
abolishnumeric4 unique values
0 missing
indiananumeric14 unique values
0 missing
retainnumeric8 unique values
0 missing
gramnumeric8 unique values
0 missing
trumannumeric4 unique values
0 missing
summarnumeric3 unique values
0 missing
annexnumeric5 unique values
0 missing
placemnumeric3 unique values
0 missing
fieldnumeric15 unique values
0 missing
programmnumeric5 unique values
0 missing
regularnumeric8 unique values
0 missing
dawnnumeric3 unique values
0 missing
siliconnumeric3 unique values
0 missing
twicenumeric7 unique values
0 missing
intermediarinumeric3 unique values
0 missing
explanatorinumeric4 unique values
0 missing
tightlinumeric2 unique values
0 missing
midnightnumeric2 unique values
0 missing
steepnumeric2 unique values
0 missing
aprilnumeric6 unique values
0 missing
uselessnumeric4 unique values
0 missing
minenumeric12 unique values
0 missing
bureaucratnumeric3 unique values
0 missing
nightmarnumeric3 unique values
0 missing
foundnumeric9 unique values
0 missing
editornumeric3 unique values
0 missing
aknumeric7 unique values
0 missing
booknumeric6 unique values
0 missing
gentlewomannumeric12 unique values
0 missing
merchantnumeric3 unique values
0 missing
establishnumeric17 unique values
0 missing
honnumeric5 unique values
0 missing
eventunumeric5 unique values
0 missing
delivnumeric8 unique values
0 missing
parachutnumeric2 unique values
0 missing
stridenumeric3 unique values
0 missing
boastnumeric3 unique values
0 missing
trionumeric3 unique values
0 missing
juniornumeric2 unique values
0 missing
corpornumeric16 unique values
0 missing
laonumeric3 unique values
0 missing
feathernumeric3 unique values
0 missing
walknumeric5 unique values
0 missing
fragilnumeric3 unique values
0 missing
chinanumeric7 unique values
0 missing
griffithnumeric2 unique values
0 missing
nagasakinumeric2 unique values
0 missing
sightnumeric4 unique values
0 missing
guarantinumeric4 unique values
0 missing
alnumeric8 unique values
0 missing
municipa;numeric3 unique values
0 missing
someplacnumeric3 unique values
0 missing
overzealnumeric3 unique values
0 missing
noticnumeric10 unique values
0 missing
slipperinumeric4 unique values
0 missing
healthinumeric5 unique values
0 missing
instructnumeric7 unique values
0 missing
payofnumeric4 unique values
0 missing
dovetailnumeric2 unique values
0 missing
centrenumeric3 unique values
0 missing
byrdnumeric4 unique values
0 missing
cianumeric3 unique values
0 missing
successnumeric12 unique values
0 missing
spillnumeric4 unique values
0 missing
belownumeric12 unique values
0 missing
dualnumeric8 unique values
0 missing
normnumeric2 unique values
0 missing
definnumeric11 unique values
0 missing
timelinnumeric2 unique values
0 missing
goodinumeric2 unique values
0 missing
safenumeric10 unique values
0 missing
maglevnumeric3 unique values
0 missing
joblessnumeric3 unique values
0 missing
nearlinumeric10 unique values
0 missing
listennumeric10 unique values
0 missing
reauthornumeric7 unique values
0 missing
rulenumeric21 unique values
0 missing
georgiannumeric2 unique values
0 missing
bylinnumeric3 unique values
0 missing
indigennumeric3 unique values
0 missing
bangnumeric3 unique values
0 missing
risnumeric5 unique values
0 missing
japanesnumeric8 unique values
0 missing
diabetnumeric3 unique values
0 missing
cionumeric4 unique values
0 missing
detectnumeric3 unique values
0 missing
mercurinumeric3 unique values
0 missing
datanumeric10 unique values
0 missing
reimbursnumeric12 unique values
0 missing
testifinumeric7 unique values
0 missing
trustnumeric14 unique values
0 missing
quicklinumeric10 unique values
0 missing
ineffectnumeric4 unique values
0 missing
gonenumeric8 unique values
0 missing
whichevnumeric3 unique values
0 missing
murphinumeric8 unique values
0 missing
blacknumeric7 unique values
0 missing
filipinonumeric3 unique values
0 missing
driftnumeric4 unique values
0 missing
worthinumeric7 unique values
0 missing
unanticipnumeric4 unique values
0 missing
sumnumeric9 unique values
0 missing
rootnumeric4 unique values
0 missing
dolenumeric5 unique values
0 missing
investignumeric10 unique values
0 missing
tomnumeric5 unique values
0 missing
edanumeric5 unique values
0 missing
drainagnumeric5 unique values
0 missing
mornnumeric6 unique values
0 missing
outweighnumeric5 unique values
0 missing
directnumeric17 unique values
0 missing
prainumeric2 unique values
0 missing
payernumeric5 unique values
0 missing
germannumeric8 unique values
0 missing
neglignumeric4 unique values
0 missing
bunchnumeric3 unique values
0 missing
lawrencnumeric5 unique values
0 missing
civiliannumeric9 unique values
0 missing
awnumeric3 unique values
0 missing
alternnumeric15 unique values
0 missing
mortgagenumeric3 unique values
0 missing
volkswagennumeric3 unique values
0 missing
centralnumeric13 unique values
0 missing
havocnumeric3 unique values
0 missing
zeronumeric6 unique values
0 missing
charitinumeric2 unique values
0 missing
aidenumeric3 unique values
0 missing
ranchnumeric2 unique values
0 missing
museumnumeric3 unique values
0 missing
withholdnumeric3 unique values
0 missing
sympathetnumeric3 unique values
0 missing
incnumeric4 unique values
0 missing
silentnumeric3 unique values
0 missing
hesitnumeric3 unique values
0 missing
telegraphnumeric3 unique values
0 missing
aggressnumeric6 unique values
0 missing
tirelesslinumeric2 unique values
0 missing
precarinumeric3 unique values
0 missing
inikinumeric4 unique values
0 missing
tuesdainumeric3 unique values
0 missing
rationnumeric5 unique values
0 missing
oklahomanumeric4 unique values
0 missing
rebuildnumeric8 unique values
0 missing
endurnumeric4 unique values
0 missing
messnumeric3 unique values
0 missing
spurnumeric4 unique values
0 missing
ceteranumeric3 unique values
0 missing
glassnumeric5 unique values
0 missing
weeknumeric16 unique values
0 missing
motivnumeric4 unique values
0 missing
telecommunnumeric8 unique values
0 missing
explainnumeric10 unique values
0 missing
gulfnumeric6 unique values
0 missing
compositnumeric4 unique values
0 missing
gratifinumeric2 unique values
0 missing
harkinnumeric3 unique values
0 missing
surveinumeric7 unique values
0 missing
flowernumeric3 unique values
0 missing
honestinumeric3 unique values
0 missing
divisionnumeric5 unique values
0 missing
discretionnumeric5 unique values
0 missing
commandnumeric7 unique values
0 missing
bringnumeric19 unique values
0 missing
etnumeric10 unique values
0 missing
velazqueznumeric8 unique values
0 missing
coffeenumeric3 unique values
0 missing
postponnumeric3 unique values
0 missing
bouldernumeric4 unique values
0 missing
householdnumeric6 unique values
0 missing
faleomavaeganumeric7 unique values
0 missing
papernumeric6 unique values
0 missing
chilenumeric5 unique values
0 missing
zealandnumeric3 unique values
0 missing
circulnumeric5 unique values
0 missing
trusteenumeric3 unique values
0 missing
subscriptnumeric4 unique values
0 missing
ferdinandnumeric2 unique values
0 missing
haltnumeric4 unique values
0 missing
laudablnumeric2 unique values
0 missing
constantlinumeric4 unique values
0 missing
liternumeric7 unique values
0 missing
unpleasnumeric3 unique values
0 missing
breaknumeric8 unique values
0 missing
seismicnumeric6 unique values
0 missing
augnumeric4 unique values
0 missing
disappearnumeric4 unique values
0 missing
stafnumeric13 unique values
0 missing
exploratorinumeric2 unique values
0 missing
arminumeric13 unique values
0 missing
reorgannumeric5 unique values
0 missing
cornerstonnumeric4 unique values
0 missing
prioritinumeric16 unique values
0 missing
underwainumeric6 unique values
0 missing
warnnumeric5 unique values
0 missing
countnumeric8 unique values
0 missing
agribusinumeric3 unique values
0 missing
sealnumeric3 unique values
0 missing
revivnumeric3 unique values
0 missing
contemplnumeric4 unique values
0 missing
proceednumeric6 unique values
0 missing
imposnumeric9 unique values
0 missing
koreannumeric3 unique values
0 missing
estimnumeric17 unique values
0 missing
voicenumeric9 unique values
0 missing
burdensomnumeric3 unique values
0 missing
originnumeric10 unique values
0 missing
sbanumeric8 unique values
0 missing
massivnumeric7 unique values
0 missing
ragnumeric3 unique values
0 missing
stainumeric9 unique values
0 missing
rustnumeric2 unique values
0 missing
leftnumeric12 unique values
0 missing
successornumeric5 unique values
0 missing
outlooknumeric5 unique values
0 missing
realignnumeric6 unique values
0 missing
prioritnumeric3 unique values
0 missing
_annumeric2 unique values
0 missing
charitnumeric3 unique values
0 missing
uruguainumeric4 unique values
0 missing
tonnenumeric5 unique values
0 missing
frenchnumeric4 unique values
0 missing
conferenumeric7 unique values
0 missing
superpownumeric5 unique values
0 missing
undertaknumeric5 unique values
0 missing
redevelopnumeric4 unique values
0 missing
stationnumeric13 unique values
0 missing
inpatinumeric6 unique values
0 missing
hauntnumeric3 unique values
0 missing
boardnumeric11 unique values
0 missing
strongestnumeric5 unique values
0 missing
aftermathnumeric3 unique values
0 missing
statenumeric12 unique values
0 missing
headnumeric16 unique values
0 missing
multiplinumeric4 unique values
0 missing
singlnumeric3 unique values
0 missing
intervennumeric2 unique values
0 missing
upwardnumeric3 unique values
0 missing
scotnumeric9 unique values
0 missing
globenumeric6 unique values
0 missing
ministnumeric7 unique values
0 missing
amidnumeric2 unique values
0 missing
detentnumeric2 unique values
0 missing
digitnumeric2 unique values
0 missing
scrapnumeric3 unique values
0 missing
bitenumeric3 unique values
0 missing
crownnumeric2 unique values
0 missing
protocolnumeric4 unique values
0 missing
safeguardnumeric4 unique values
0 missing

107 properties

204
Number of instances (rows) of the dataset.
5833
Number of attributes (columns) of the dataset.
6
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.
5832
Number of numeric attributes.
1
Number of nominal attributes.
0.41
Mean of means among attributes of the numeric type.
0.48
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
46.4
First quartile of kurtosis among attributes of the numeric type.
1.51
Third quartile of standard deviation of attributes of the numeric type.
0.9
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.67
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.16
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
Average mutual information between the nominal attributes and the target attribute.
0.41
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.03
First quartile of means among attributes of the numeric type.
0.93
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.16
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.49
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.77
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
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.
0.18
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.77
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.32
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
6
Average number of distinct values among the attributes of the nominal type.
6.38
First quartile of skewness among attributes of the numeric type.
0.75
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.9
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0
Standard deviation of the number of distinct values among attributes of the nominal type.
0.16
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
8.24
Mean skewness among attributes of the numeric type.
0.25
First quartile of standard deviation of attributes of the numeric type.
0.93
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.16
Error rate achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.57
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.77
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
2.16
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
0.18
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.77
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.5
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
44.61
Percentage of instances belonging to the most frequent class.
Minimal entropy among attributes.
66.15
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.75
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
2.1
Entropy of the target attribute values.
0.17
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
91
Number of instances belonging to the most frequent class.
Maximum entropy among attributes.
-1.96
Minimum kurtosis among attributes of the numeric type.
0.09
Second quartile (Median) of means among attributes of the numeric type.
0.93
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.83
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
204
Maximum kurtosis among attributes of the numeric type.
0.01
Minimum of means among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.18
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.37
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
59.61
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
8.12
Second quartile (Median) of skewness among attributes of the numeric type.
0.75
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.46
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum mutual information between the nominal attributes and the target attribute.
6
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of binary attributes.
0.57
Second quartile (Median) of standard deviation of attributes of the numeric type.
0.67
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
28.59
Number of attributes divided by the number of instances.
6
The maximum number of distinct values among attributes of the nominal type.
-0.42
Minimum skewness among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
0.49
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.
14.28
Maximum skewness among attributes of the numeric type.
0.12
Minimum standard deviation of attributes of the numeric type.
0
Percentage of missing values.
100.77
Third quartile of kurtosis among attributes of the numeric type.
0.24
Average class difference between consecutive instances.
0.32
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
232.07
Maximum standard deviation of attributes of the numeric type.
2.94
Percentage of instances belonging to the least frequent class.
99.98
Percentage of numeric attributes.
0.29
Third quartile of means among attributes of the numeric type.
0.9
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.67
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.16
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Average entropy of the attributes.
6
Number 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.
0.16
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.49
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.77
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
79.93
Mean kurtosis among attributes of the numeric type.
0.74
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of entropy among attributes.
9.64
Third quartile of skewness among attributes of the numeric type.
0.77
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.32
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

10 tasks

125 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