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tr41.wc

tr41.wc

active Sparse_ARFF Publicly available Visibility: public Uploaded 28-09-2014 by Joaquin Vanschoren
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7455 features

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fosternumeric2 unique values
0 missing
spotnumeric6 unique values
0 missing
darenumeric3 unique values
0 missing
goalnumeric8 unique values
0 missing
companinumeric18 unique values
0 missing
dubiounumeric2 unique values
0 missing
collectnumeric11 unique values
0 missing
fannumeric4 unique values
0 missing
floridanumeric5 unique values
0 missing
gpnumeric4 unique values
0 missing
valuenumeric9 unique values
0 missing
prongnumeric3 unique values
0 missing
desirnumeric4 unique values
0 missing
dependnumeric6 unique values
0 missing
hypocrisinumeric2 unique values
0 missing
egyptiannumeric5 unique values
0 missing
altimetnumeric2 unique values
0 missing
alanumeric2 unique values
0 missing
traitnumeric3 unique values
0 missing
apnumeric4 unique values
0 missing
pencilnumeric3 unique values
0 missing
quasinumeric2 unique values
0 missing
lithuanianumeric7 unique values
0 missing
bridenumeric3 unique values
0 missing
ochoanumeric5 unique values
0 missing
renenumeric2 unique values
0 missing
surgenumeric3 unique values
0 missing
fractionnumeric2 unique values
0 missing
cancellnumeric3 unique values
0 missing
merseysidnumeric2 unique values
0 missing
workernumeric7 unique values
0 missing
peacekeepnumeric5 unique values
0 missing
walenumeric4 unique values
0 missing
pensionnumeric6 unique values
0 missing
assurnumeric5 unique values
0 missing
rainfallnumeric4 unique values
0 missing
committenumeric11 unique values
0 missing
motherwelnumeric4 unique values
0 missing
georgiannumeric5 unique values
0 missing
secondarinumeric4 unique values
0 missing
ambulnumeric3 unique values
0 missing
curenumeric4 unique values
0 missing
walknumeric4 unique values
0 missing
frigatnumeric2 unique values
0 missing
explosionnumeric5 unique values
0 missing
scratchnumeric2 unique values
0 missing
princetonnumeric3 unique values
0 missing
riotnumeric4 unique values
0 missing
bulgarianumeric3 unique values
0 missing
grainnumeric3 unique values
0 missing
isotopnumeric4 unique values
0 missing
laxnumeric2 unique values
0 missing
acidnumeric3 unique values
0 missing
bothernumeric2 unique values
0 missing
vladimironumeric2 unique values
0 missing
citizennumeric7 unique values
0 missing
elsenumeric4 unique values
0 missing
scrutininumeric2 unique values
0 missing
importantlinumeric2 unique values
0 missing
queennumeric4 unique values
0 missing
ecnumeric9 unique values
0 missing
barragnumeric3 unique values
0 missing
separnumeric7 unique values
0 missing
nearestnumeric2 unique values
0 missing
innocnumeric4 unique values
0 missing
gortarinumeric2 unique values
0 missing
demonstrnumeric8 unique values
0 missing
quarternumeric5 unique values
0 missing
sellernumeric3 unique values
0 missing
salarinumeric6 unique values
0 missing
capturnumeric4 unique values
0 missing
pablonumeric3 unique values
0 missing
offendnumeric4 unique values
0 missing
noisinumeric2 unique values
0 missing
impositnumeric3 unique values
0 missing
phunumeric4 unique values
0 missing
ebnumeric2 unique values
0 missing
armornumeric5 unique values
0 missing
malicnumeric3 unique values
0 missing
protonnumeric4 unique values
0 missing
pearlnumeric2 unique values
0 missing
judicinumeric6 unique values
0 missing
asuncionnumeric3 unique values
0 missing
faintnumeric2 unique values
0 missing
fraternnumeric2 unique values
0 missing
pearsonnumeric2 unique values
0 missing
warmlinumeric3 unique values
0 missing
revenunumeric8 unique values
0 missing
tarifnumeric5 unique values
0 missing
commendnumeric3 unique values
0 missing
decreenumeric6 unique values
0 missing
obsessnumeric2 unique values
0 missing
countrinumeric22 unique values
0 missing
leasenumeric3 unique values
0 missing
majornumeric15 unique values
0 missing
psychologistnumeric3 unique values
0 missing
certaintinumeric3 unique values
0 missing
contaminnumeric5 unique values
0 missing
cluttonnumeric4 unique values
0 missing
gridnumeric4 unique values
0 missing
nhnumeric4 unique values
0 missing
proclaimnumeric2 unique values
0 missing
otherwisnumeric4 unique values
0 missing
householdnumeric4 unique values
0 missing
coffeenumeric4 unique values
0 missing
stubbornnumeric3 unique values
0 missing
diseasnumeric5 unique values
0 missing
featenumeric3 unique values
0 missing
curfewnumeric3 unique values
0 missing
navignumeric5 unique values
0 missing
outbreaknumeric3 unique values
0 missing
explosnumeric4 unique values
0 missing
faunanumeric3 unique values
0 missing
debilitnumeric2 unique values
0 missing
barrinumeric3 unique values
0 missing
wardnumeric3 unique values
0 missing
tirnumeric2 unique values
0 missing
philipnumeric3 unique values
0 missing
obsoletnumeric2 unique values
0 missing
painnumeric5 unique values
0 missing
empirnumeric3 unique values
0 missing
steadilinumeric4 unique values
0 missing
londonnumeric14 unique values
0 missing
crewnumeric6 unique values
0 missing
edwardnumeric3 unique values
0 missing
bypassnumeric2 unique values
0 missing
secretnumeric8 unique values
0 missing
sanguinnumeric2 unique values
0 missing
imaginnumeric4 unique values
0 missing
invalidnumeric4 unique values
0 missing
widennumeric4 unique values
0 missing
maastrichtnumeric3 unique values
0 missing
clearnumeric5 unique values
0 missing
clognumeric3 unique values
0 missing
discretionnumeric4 unique values
0 missing
viinumeric4 unique values
0 missing
scorenumeric5 unique values
0 missing
protocolnumeric8 unique values
0 missing
retributnumeric3 unique values
0 missing
reprisnumeric3 unique values
0 missing
hannumeric3 unique values
0 missing
mortarnumeric4 unique values
0 missing
summarnumeric3 unique values
0 missing
laternumeric2 unique values
0 missing
wannumeric4 unique values
0 missing
wrotenumeric6 unique values
0 missing
fighternumeric4 unique values
0 missing
flatenumeric5 unique values
0 missing
latitudnumeric5 unique values
0 missing
hillnumeric5 unique values
0 missing
creationnumeric7 unique values
0 missing
issunumeric8 unique values
0 missing
positnumeric5 unique values
0 missing
recurrnumeric3 unique values
0 missing
factorinumeric5 unique values
0 missing
ranchonumeric3 unique values
0 missing
royalnumeric4 unique values
0 missing
supervisornumeric3 unique values
0 missing
bostonnumeric4 unique values
0 missing
southernnumeric6 unique values
0 missing
foreseennumeric3 unique values
0 missing
worthwhilnumeric2 unique values
0 missing
bannumeric8 unique values
0 missing
proportionnumeric2 unique values
0 missing
downsidnumeric2 unique values
0 missing
inadequacinumeric2 unique values
0 missing
seventhnumeric3 unique values
0 missing
obscurnumeric2 unique values
0 missing
reshufflnumeric2 unique values
0 missing
coinnumeric2 unique values
0 missing
afrnumeric2 unique values
0 missing
unexpectedlinumeric2 unique values
0 missing
feudnumeric3 unique values
0 missing
dressnumeric4 unique values
0 missing
narcotrafficknumeric3 unique values
0 missing
criticnumeric8 unique values
0 missing
meatenumeric4 unique values
0 missing
weaknumeric5 unique values
0 missing
sanctionnumeric6 unique values
0 missing
dangernumeric6 unique values
0 missing
playernumeric4 unique values
0 missing
arrangnumeric6 unique values
0 missing
htnumeric4 unique values
0 missing
paidnumeric7 unique values
0 missing
shipbuildnumeric3 unique values
0 missing
newscastnumeric5 unique values
0 missing
listennumeric3 unique values
0 missing
revolutnumeric4 unique values
0 missing
fignumeric4 unique values
0 missing
suppliernumeric3 unique values
0 missing
cushionnumeric3 unique values
0 missing
icenumeric10 unique values
0 missing
delivnumeric8 unique values
0 missing
discnumeric2 unique values
0 missing
stratanumeric2 unique values
0 missing
parkwainumeric2 unique values
0 missing
leaguenumeric6 unique values
0 missing
etnumeric6 unique values
0 missing
repatrinumeric3 unique values
0 missing
frenzinumeric2 unique values
0 missing
escortnumeric3 unique values
0 missing
countlessnumeric3 unique values
0 missing
prayernumeric2 unique values
0 missing
tossnumeric3 unique values
0 missing
slainumeric7 unique values
0 missing
reiternumeric4 unique values
0 missing
geodesinumeric6 unique values
0 missing
phasenumeric8 unique values
0 missing
meanwhilnumeric4 unique values
0 missing
mondainumeric6 unique values
0 missing
adoptnumeric5 unique values
0 missing
signifinumeric2 unique values
0 missing
carlonumeric5 unique values
0 missing
easilinumeric4 unique values
0 missing
electronnumeric10 unique values
0 missing
xewnumeric2 unique values
0 missing
midstnumeric3 unique values
0 missing
tradernumeric6 unique values
0 missing
filnumeric4 unique values
0 missing
phrasenumeric4 unique values
0 missing
womannumeric5 unique values
0 missing
mileagnumeric2 unique values
0 missing
charodeyevnumeric2 unique values
0 missing
trailernumeric5 unique values
0 missing
ploinumeric2 unique values
0 missing
wantonnumeric3 unique values
0 missing
inconveninumeric3 unique values
0 missing
brigadnumeric4 unique values
0 missing
pleadnumeric4 unique values
0 missing
yeoryionumeric3 unique values
0 missing
sapanumeric2 unique values
0 missing
ringnumeric4 unique values
0 missing
outpostnumeric3 unique values
0 missing
crinumeric2 unique values
0 missing
naranjonumeric3 unique values
0 missing
kendallnumeric4 unique values
0 missing
mountnumeric4 unique values
0 missing
adjustnumeric8 unique values
0 missing
dissentnumeric6 unique values
0 missing
churchnumeric3 unique values
0 missing
jeannumeric4 unique values
0 missing
widernumeric3 unique values
0 missing
coopernumeric16 unique values
0 missing
deputinumeric12 unique values
0 missing
chlorinnumeric2 unique values
0 missing
turtlenumeric3 unique values
0 missing
reorgannumeric4 unique values
0 missing
redundnumeric4 unique values
0 missing
regenernumeric5 unique values
0 missing
whomnumeric4 unique values
0 missing
absurdnumeric3 unique values
0 missing
slowlinumeric3 unique values
0 missing
kamilnumeric3 unique values
0 missing
marshallnumeric4 unique values
0 missing
vanguardnumeric4 unique values
0 missing
potnumeric2 unique values
0 missing
announcnumeric10 unique values
0 missing
smashnumeric3 unique values
0 missing
mandelanumeric3 unique values
0 missing
zeroualnumeric3 unique values
0 missing
ancnumeric10 unique values
0 missing
filternumeric3 unique values
0 missing
glendalnumeric5 unique values
0 missing
gallnumeric2 unique values
0 missing
sherifnumeric5 unique values
0 missing
compellnumeric2 unique values
0 missing
batternumeric2 unique values
0 missing
streamnumeric4 unique values
0 missing
deninumeric5 unique values
0 missing
borrownumeric7 unique values
0 missing
burinumeric3 unique values
0 missing
hostnumeric4 unique values
0 missing
americannumeric14 unique values
0 missing
administrnumeric8 unique values
0 missing
indigennumeric3 unique values
0 missing
nauticnumeric8 unique values
0 missing
characteristnumeric7 unique values
0 missing
impatinumeric3 unique values
0 missing
vendornumeric2 unique values
0 missing
panoramanumeric2 unique values
0 missing
rescuenumeric4 unique values
0 missing
cleannumeric5 unique values
0 missing
isletnumeric5 unique values
0 missing
likewisnumeric2 unique values
0 missing
votnumeric4 unique values
0 missing
jointlinumeric5 unique values
0 missing
scriptnumeric2 unique values
0 missing
exitnumeric3 unique values
0 missing
nicosianumeric4 unique values
0 missing
chantnumeric2 unique values
0 missing
dentnumeric2 unique values
0 missing
igornumeric3 unique values
0 missing
questnumeric2 unique values
0 missing
calnumeric3 unique values
0 missing
providnumeric14 unique values
0 missing
rearnumeric3 unique values
0 missing
authorisnumeric4 unique values
0 missing
rulenumeric7 unique values
0 missing
surrendnumeric6 unique values
0 missing
westnumeric12 unique values
0 missing
decembnumeric7 unique values
0 missing
chilenumeric9 unique values
0 missing
lecturnumeric4 unique values
0 missing
dragnumeric2 unique values
0 missing
abstentnumeric2 unique values
0 missing
gavinnumeric2 unique values
0 missing
framnumeric2 unique values
0 missing
arupnumeric2 unique values
0 missing
percentnumeric11 unique values
0 missing
reinnumeric2 unique values
0 missing
distressnumeric3 unique values
0 missing
prosecutornumeric11 unique values
0 missing
defernumeric3 unique values
0 missing
antiqunumeric3 unique values
0 missing
orbitnumeric11 unique values
0 missing
alinumeric3 unique values
0 missing
mafianumeric6 unique values
0 missing
apolognumeric2 unique values
0 missing
cantonnumeric3 unique values
0 missing
supervisnumeric4 unique values
0 missing
esthernumeric2 unique values
0 missing
congnumeric3 unique values
0 missing
nicknamnumeric2 unique values
0 missing
fuentenumeric2 unique values
0 missing
earnnumeric8 unique values
0 missing
commandnumeric9 unique values
0 missing
bishopnumeric3 unique values
0 missing
averagnumeric11 unique values
0 missing
linenumeric16 unique values
0 missing
centrenumeric8 unique values
0 missing
sixthnumeric4 unique values
0 missing
conversnumeric6 unique values
0 missing
ypfnumeric5 unique values
0 missing
justifnumeric3 unique values
0 missing
cargonumeric7 unique values
0 missing
interfaxnumeric6 unique values
0 missing
rutleinumeric3 unique values
0 missing
aprnumeric5 unique values
0 missing
purenumeric4 unique values
0 missing
propagnumeric2 unique values
0 missing
subversnumeric3 unique values
0 missing
locomotnumeric3 unique values
0 missing
endownumeric4 unique values
0 missing
islandnumeric19 unique values
0 missing
hostagnumeric14 unique values
0 missing
renegadnumeric2 unique values
0 missing
hovernumeric2 unique values
0 missing
loosenumeric3 unique values
0 missing
proofnumeric3 unique values
0 missing
subsidnumeric3 unique values
0 missing
laonumeric3 unique values
0 missing
salazarnumeric3 unique values
0 missing
threatennumeric5 unique values
0 missing
superimposnumeric2 unique values
0 missing
structurnumeric11 unique values
0 missing

107 properties

878
Number of instances (rows) of the dataset.
7455
Number of attributes (columns) of the dataset.
10
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.
7454
Number of numeric attributes.
1
Number of nominal attributes.
224.62
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.85
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
2.79
Entropy of the target attribute values.
0.39
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
243
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
0.01
Second quartile (Median) of means among attributes of the numeric type.
0.96
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.75
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum entropy among attributes.
-2
Minimum kurtosis among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.13
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.55
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
877.37
Maximum kurtosis among attributes of the numeric type.
0
Minimum of means among attributes of the numeric type.
14.74
Second quartile (Median) of skewness among attributes of the numeric type.
0.85
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.28
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
6.68
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.
0.16
Second quartile (Median) of standard deviation of attributes of the numeric type.
0.76
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
8.49
Number of attributes divided by the number of instances.
Maximum mutual information between the nominal attributes and the target attribute.
10
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.
0.41
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.
10
The maximum number of distinct values among attributes of the nominal type.
0.04
Minimum skewness among attributes of the numeric type.
0
Percentage of missing values.
352.61
Third quartile of kurtosis among attributes of the numeric type.
0.17
Average class difference between consecutive instances.
0.5
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.95
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
29.62
Maximum skewness among attributes of the numeric type.
0.06
Minimum standard deviation of attributes of the numeric type.
99.99
Percentage of numeric attributes.
0.04
Third quartile of means among attributes of the numeric type.
0.95
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
0.76
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.09
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
21.23
Maximum standard deviation of attributes of the numeric type.
1.03
Percentage of instances belonging to the least frequent class.
0.01
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
0.09
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
0.41
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.89
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.
17.55
Third quartile of skewness among attributes of the numeric type.
0.89
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.5
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.95
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
273.42
Mean kurtosis among attributes of the numeric type.
0.96
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
138.94
First quartile of kurtosis among attributes of the numeric type.
0.37
Third quartile of standard deviation of attributes of the numeric type.
0.95
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
0.76
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.09
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.05
Mean of means among attributes of the numeric type.
0.15
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.01
First quartile of means among attributes of the numeric type.
0.96
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.09
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
0.41
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.89
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
Average mutual information between the nominal attributes and the target attribute.
0.82
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of mutual information between the nominal attributes and the target attribute.
0.13
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.89
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.5
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.95
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.
0
Number of binary attributes.
11
First quartile of skewness among attributes of the numeric type.
0.85
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.95
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.
0.09
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
10
Average number of distinct values among the attributes of the nominal type.
0.09
First quartile of standard deviation of attributes of the numeric type.
0.96
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.09
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
0.7
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.89
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
14.86
Mean skewness among attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
0.13
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.89
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.51
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
27.68
Percentage of instances belonging to the most frequent class.
0.39
Mean standard deviation of attributes of the numeric type.

21 tasks

113 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 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: Custom 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: Test on Training Data - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 5 times 2-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
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
Define a new task