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tr11.wc

tr11.wc

active Sparse_ARFF Publicly available Visibility: public Uploaded 28-09-2014 by Joaquin Vanschoren
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6430 features

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introducnumeric11 unique values
0 missing
mailnumeric4 unique values
0 missing
perfectlinumeric3 unique values
0 missing
damagnumeric10 unique values
0 missing
neftokhimnumeric2 unique values
0 missing
allerginumeric3 unique values
0 missing
rfnumeric6 unique values
0 missing
enormnumeric4 unique values
0 missing
leaguenumeric3 unique values
0 missing
manifestnumeric3 unique values
0 missing
muslimnumeric2 unique values
0 missing
boldlinumeric2 unique values
0 missing
shcherbaknumeric4 unique values
0 missing
treasurnumeric3 unique values
0 missing
spdnumeric5 unique values
0 missing
remnantnumeric2 unique values
0 missing
bandnumeric3 unique values
0 missing
ganumeric18 unique values
0 missing
italinumeric5 unique values
0 missing
africanumeric8 unique values
0 missing
properlinumeric3 unique values
0 missing
debatnumeric8 unique values
0 missing
collaternumeric2 unique values
0 missing
throughoutnumeric8 unique values
0 missing
omannumeric3 unique values
0 missing
vicinnumeric5 unique values
0 missing
laboratorinumeric9 unique values
0 missing
amplifinumeric4 unique values
0 missing
preparnumeric13 unique values
0 missing
settlenumeric3 unique values
0 missing
izvestiyanumeric5 unique values
0 missing
presidiumnumeric4 unique values
0 missing
comradnumeric4 unique values
0 missing
tidalnumeric2 unique values
0 missing
northwestnumeric5 unique values
0 missing
plantatnumeric3 unique values
0 missing
deadnumeric5 unique values
0 missing
plutoniumnumeric9 unique values
0 missing
liepajanumeric3 unique values
0 missing
activistnumeric4 unique values
0 missing
eximbanknumeric2 unique values
0 missing
extremistnumeric3 unique values
0 missing
advertisnumeric5 unique values
0 missing
meantnumeric2 unique values
0 missing
capacnumeric15 unique values
0 missing
motornumeric15 unique values
0 missing
affluentnumeric3 unique values
0 missing
proofnumeric3 unique values
0 missing
concretnumeric6 unique values
0 missing
secretarinumeric7 unique values
0 missing
philippinnumeric6 unique values
0 missing
mandatnumeric5 unique values
0 missing
customnumeric10 unique values
0 missing
fednumeric2 unique values
0 missing
palestinnumeric2 unique values
0 missing
sharplinumeric5 unique values
0 missing
ideologinumeric3 unique values
0 missing
foreshadownumeric2 unique values
0 missing
burialnumeric8 unique values
0 missing
clarifnumeric3 unique values
0 missing
englishnumeric10 unique values
0 missing
pendnumeric2 unique values
0 missing
widthnumeric3 unique values
0 missing
spillnumeric8 unique values
0 missing
infectnumeric6 unique values
0 missing
monoxidnumeric4 unique values
0 missing
jetnumeric3 unique values
0 missing
forecastnumeric5 unique values
0 missing
wornnumeric3 unique values
0 missing
automotnumeric4 unique values
0 missing
correspondnumeric7 unique values
0 missing
contrarinumeric4 unique values
0 missing
extentnumeric5 unique values
0 missing
invitnumeric8 unique values
0 missing
scatternumeric2 unique values
0 missing
governornumeric5 unique values
0 missing
advicnumeric3 unique values
0 missing
allotnumeric3 unique values
0 missing
hebeinumeric6 unique values
0 missing
cyprunumeric3 unique values
0 missing
conservnumeric8 unique values
0 missing
portuguesnumeric4 unique values
0 missing
thereinnumeric3 unique values
0 missing
printnumeric6 unique values
0 missing
yerevannumeric3 unique values
0 missing
alphabetnumeric3 unique values
0 missing
dailinumeric10 unique values
0 missing
giangnumeric4 unique values
0 missing
rossiyskiynumeric4 unique values
0 missing
paznumeric3 unique values
0 missing
khersonnumeric4 unique values
0 missing
dissolutnumeric5 unique values
0 missing
juppenumeric5 unique values
0 missing
kozyrevnumeric5 unique values
0 missing
algeriannumeric6 unique values
0 missing
fujiinumeric4 unique values
0 missing
crystalnumeric5 unique values
0 missing
inhibitnumeric2 unique values
0 missing
touristnumeric9 unique values
0 missing
beforehandnumeric3 unique values
0 missing
fignumeric6 unique values
0 missing
industrinumeric36 unique values
0 missing
mekongnumeric5 unique values
0 missing
idonumeric4 unique values
0 missing
liennumeric4 unique values
0 missing
liquefinumeric4 unique values
0 missing
goldnumeric9 unique values
0 missing
subheadnumeric2 unique values
0 missing
mikhaylovnumeric4 unique values
0 missing
admissnumeric4 unique values
0 missing
vestnumeric2 unique values
0 missing
flowernumeric3 unique values
0 missing
candidacinumeric4 unique values
0 missing
ignitionnumeric3 unique values
0 missing
cosmicnumeric3 unique values
0 missing
desertifnumeric6 unique values
0 missing
necknumeric2 unique values
0 missing
samplnumeric2 unique values
0 missing
petersburgnumeric7 unique values
0 missing
yourselfnumeric2 unique values
0 missing
nilnumeric2 unique values
0 missing
foundatnumeric10 unique values
0 missing
unidentifinumeric3 unique values
0 missing
couplenumeric2 unique values
0 missing
frankfurtnumeric4 unique values
0 missing
minimumnumeric5 unique values
0 missing
southeastnumeric12 unique values
0 missing
trialnumeric5 unique values
0 missing
heatenumeric12 unique values
0 missing
fenumeric3 unique values
0 missing
portionnumeric4 unique values
0 missing
institutnumeric23 unique values
0 missing
pournumeric4 unique values
0 missing
fragmentnumeric4 unique values
0 missing
silesianumeric3 unique values
0 missing
intermedinumeric3 unique values
0 missing
aliennumeric3 unique values
0 missing
0numeric36 unique values
0 missing
auxiliarinumeric3 unique values
0 missing
seismicnumeric4 unique values
0 missing
tarasovnumeric3 unique values
0 missing
riflenumeric3 unique values
0 missing
polymnumeric5 unique values
0 missing
decknumeric3 unique values
0 missing
tragedinumeric3 unique values
0 missing
nowadainumeric2 unique values
0 missing
scrapnumeric7 unique values
0 missing
quietnumeric2 unique values
0 missing
humannumeric12 unique values
0 missing
environmentnumeric25 unique values
0 missing
advisorinumeric5 unique values
0 missing
chinesnumeric16 unique values
0 missing
presidnumeric16 unique values
0 missing
strugglenumeric6 unique values
0 missing
atrnumeric4 unique values
0 missing
outlainumeric3 unique values
0 missing
deeplinumeric4 unique values
0 missing
biolognumeric9 unique values
0 missing
healthinumeric7 unique values
0 missing
zeronumeric3 unique values
0 missing
harmoninumeric3 unique values
0 missing
hangarnumeric3 unique values
0 missing
britishnumeric8 unique values
0 missing
funumeric2 unique values
0 missing
ninetinumeric3 unique values
0 missing
clinicnumeric6 unique values
0 missing
protectornumeric3 unique values
0 missing
codnumeric4 unique values
0 missing
handelsblatnumeric4 unique values
0 missing
irresponsnumeric3 unique values
0 missing
renegotinumeric4 unique values
0 missing
renaultnumeric5 unique values
0 missing
castnumeric4 unique values
0 missing
specialistnumeric10 unique values
0 missing
franklinumeric2 unique values
0 missing
negotinumeric13 unique values
0 missing
meannumeric13 unique values
0 missing
transparnumeric5 unique values
0 missing
polyethylennumeric2 unique values
0 missing
diversifnumeric2 unique values
0 missing
yangnumeric4 unique values
0 missing
professornumeric6 unique values
0 missing
allevinumeric4 unique values
0 missing
chunumeric4 unique values
0 missing
doctornumeric6 unique values
0 missing
crisenumeric3 unique values
0 missing
epoxinumeric4 unique values
0 missing
metalworknumeric3 unique values
0 missing
writernumeric4 unique values
0 missing
hallanumeric4 unique values
0 missing
scenicnumeric2 unique values
0 missing
ostrovnumeric4 unique values
0 missing
ultravioletnumeric4 unique values
0 missing
bureaucratnumeric4 unique values
0 missing
ourselvnumeric3 unique values
0 missing
vulnernumeric3 unique values
0 missing
odornumeric3 unique values
0 missing
thirtinumeric2 unique values
0 missing
reliablnumeric6 unique values
0 missing
stabilnumeric9 unique values
0 missing
septembnumeric10 unique values
0 missing
fitnumeric3 unique values
0 missing
begunnumeric8 unique values
0 missing
nhatenumeric4 unique values
0 missing
zhaonumeric3 unique values
0 missing
thoinumeric7 unique values
0 missing
sharnumeric5 unique values
0 missing
ratifnumeric4 unique values
0 missing
constraintnumeric2 unique values
0 missing
merchandisnumeric5 unique values
0 missing
honnumeric3 unique values
0 missing
undecidnumeric4 unique values
0 missing
purchasnumeric12 unique values
0 missing
bohainumeric2 unique values
0 missing
ninhnumeric4 unique values
0 missing
canarinumeric2 unique values
0 missing
ismailnumeric2 unique values
0 missing
khinumeric4 unique values
0 missing
novosibirsknumeric4 unique values
0 missing
countrymennumeric3 unique values
0 missing
goldennumeric3 unique values
0 missing
tsutomunumeric3 unique values
0 missing
strongernumeric5 unique values
0 missing
fifteennumeric2 unique values
0 missing
farmernumeric8 unique values
0 missing
lacknumeric11 unique values
0 missing
westernnumeric10 unique values
0 missing
painumeric13 unique values
0 missing
suzhounumeric4 unique values
0 missing
extraordinarinumeric6 unique values
0 missing
kianumeric5 unique values
0 missing
coordinnumeric12 unique values
0 missing
macaonumeric5 unique values
0 missing
railwainumeric6 unique values
0 missing
electricitnumeric2 unique values
0 missing
idlenumeric2 unique values
0 missing
buffernumeric3 unique values
0 missing
justicnumeric6 unique values
0 missing
southwesternnumeric3 unique values
0 missing
anglenumeric3 unique values
0 missing
fusionnumeric3 unique values
0 missing
forbiddennumeric2 unique values
0 missing
textbooknumeric3 unique values
0 missing
armeniannumeric5 unique values
0 missing
continentnumeric4 unique values
0 missing
medianumeric10 unique values
0 missing
tarifnumeric10 unique values
0 missing
kurchatovnumeric2 unique values
0 missing
devotnumeric6 unique values
0 missing
centerpiecnumeric2 unique values
0 missing
kumagainumeric3 unique values
0 missing
jointlinumeric10 unique values
0 missing
competitornumeric5 unique values
0 missing
specialtinumeric3 unique values
0 missing
minenumeric9 unique values
0 missing
guangdongnumeric8 unique values
0 missing
hiroshinumeric2 unique values
0 missing
prolifernumeric3 unique values
0 missing
rudenumeric3 unique values
0 missing
vcrnumeric5 unique values
0 missing
peninsulanumeric6 unique values
0 missing
koptevnumeric4 unique values
0 missing
affairnumeric10 unique values
0 missing
arianespacnumeric3 unique values
0 missing
nozzlenumeric2 unique values
0 missing
recurnumeric3 unique values
0 missing
kidneinumeric2 unique values
0 missing
thresholdnumeric5 unique values
0 missing
classifnumeric4 unique values
0 missing
cscenumeric3 unique values
0 missing
strainnumeric4 unique values
0 missing
tepnumeric2 unique values
0 missing
jingjinumeric5 unique values
0 missing
ironnumeric9 unique values
0 missing
bulletinnumeric4 unique values
0 missing
commissionnumeric4 unique values
0 missing
southnumeric19 unique values
0 missing
unofficinumeric2 unique values
0 missing
tdxnumeric3 unique values
0 missing
flavornumeric3 unique values
0 missing
sharpnumeric5 unique values
0 missing
degreenumeric9 unique values
0 missing
conceptunumeric3 unique values
0 missing
emitnumeric4 unique values
0 missing
yongnumeric6 unique values
0 missing
repetitnumeric2 unique values
0 missing
juridnumeric4 unique values
0 missing
marchnumeric19 unique values
0 missing
meteorolognumeric5 unique values
0 missing
analytnumeric4 unique values
0 missing
mnumeric3 unique values
0 missing
estoniannumeric4 unique values
0 missing
electrotechnnumeric3 unique values
0 missing
absencnumeric4 unique values
0 missing
excerptnumeric3 unique values
0 missing
spendnumeric7 unique values
0 missing
stimulnumeric5 unique values
0 missing
formerlinumeric3 unique values
0 missing
linnumeric4 unique values
0 missing
taiwannumeric13 unique values
0 missing
signalnumeric7 unique values
0 missing
understandnumeric9 unique values
0 missing
workstatnumeric5 unique values
0 missing
presumnumeric3 unique values
0 missing
minnumeric12 unique values
0 missing
summarnumeric4 unique values
0 missing
sixnumeric14 unique values
0 missing
accommodnumeric4 unique values
0 missing
aseannumeric4 unique values
0 missing
plotnumeric3 unique values
0 missing
naewoenumeric2 unique values
0 missing
riganumeric5 unique values
0 missing
turnovnumeric6 unique values
0 missing
mountainnumeric7 unique values
0 missing
tacklenumeric4 unique values
0 missing
envoinumeric3 unique values
0 missing
nursultannumeric2 unique values
0 missing
scannumeric2 unique values
0 missing
spoilnumeric3 unique values
0 missing
taxpaynumeric2 unique values
0 missing
explornumeric9 unique values
0 missing
centernumeric21 unique values
0 missing
jeopardnumeric4 unique values
0 missing
vitalnumeric3 unique values
0 missing
paonumeric9 unique values
0 missing
songnumeric4 unique values
0 missing
enterprisnumeric25 unique values
0 missing
chainnumeric8 unique values
0 missing
bubblenumeric3 unique values
0 missing
qatarnumeric2 unique values
0 missing
carenumeric5 unique values
0 missing
advancnumeric17 unique values
0 missing
ratifinumeric5 unique values
0 missing
clusternumeric3 unique values
0 missing
diminishnumeric3 unique values
0 missing
contournumeric3 unique values
0 missing
detachnumeric3 unique values
0 missing
boltnumeric2 unique values
0 missing
headlinnumeric3 unique values
0 missing
nightnumeric3 unique values
0 missing
bitternumeric2 unique values
0 missing
kazakhnumeric7 unique values
0 missing
discrepnumeric3 unique values
0 missing
hangnumeric2 unique values
0 missing
hithertonumeric3 unique values
0 missing
respondnumeric10 unique values
0 missing
overlinumeric2 unique values
0 missing
catvnumeric3 unique values
0 missing
nuclearnumeric28 unique values
0 missing
remitnumeric2 unique values
0 missing
alcoholnumeric3 unique values
0 missing
yieldnumeric7 unique values
0 missing
radicnumeric8 unique values
0 missing
easilinumeric4 unique values
0 missing
petrochemnumeric9 unique values
0 missing
disseminnumeric5 unique values
0 missing
collapsnumeric5 unique values
0 missing

107 properties

414
Number of instances (rows) of the dataset.
6430
Number of attributes (columns) of the dataset.
9
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.
6429
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.
0.23
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.73
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
0.82
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
9
Average number of distinct values among the attributes of the nominal type.
8.67
First quartile of skewness among attributes of the numeric type.
0.72
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.
0.3
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
11.45
Mean skewness among attributes of the numeric type.
0.16
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
0.22
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
0.61
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
1.07
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
0.23
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.73
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
0.6
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
31.88
Percentage of instances belonging to the most frequent class.
Minimal entropy among attributes.
134.64
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.72
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
2.7
Entropy of the target attribute values.
0.21
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
132
Number of instances belonging to the most frequent class.
-1.9
Minimum kurtosis among attributes of the numeric type.
0.04
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
0.69
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum entropy among attributes.
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.
0.23
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.56
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
413.92
Maximum kurtosis among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
11.49
Second quartile (Median) of skewness among attributes of the numeric type.
0.72
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.22
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
20.14
Maximum of means among attributes of the numeric type.
9
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of binary attributes.
0.33
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
15.53
Number of attributes divided by the number of instances.
Maximum mutual information between the nominal attributes and the target attribute.
-0.59
Minimum skewness among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
0.54
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.
9
The maximum number of distinct values among attributes of the nominal type.
0
Minimum standard deviation of attributes of the numeric type.
0
Percentage of missing values.
204.71
Third quartile of kurtosis among attributes of the numeric type.
0.2
Average class difference between consecutive instances.
0.34
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.82
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
20.34
Maximum skewness among attributes of the numeric type.
1.45
Percentage of instances belonging to the least frequent class.
99.98
Percentage of numeric attributes.
0.12
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
0.3
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
155.38
Maximum standard deviation of attributes of the numeric type.
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.
0.22
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
0.54
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.61
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Average entropy of the attributes.
0.81
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of entropy among attributes.
13.79
Third quartile of skewness among attributes of the numeric type.
0.73
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
0.82
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
157.54
Mean kurtosis among attributes of the numeric type.
0.47
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
80.66
First quartile of kurtosis among attributes of the numeric type.
0.82
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
0.3
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.16
Mean of means among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
0.45
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.02
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
0.22
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
0.54
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.61
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001

10 tasks

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