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tr21.wc

tr21.wc

active Sparse_ARFF Publicly available Visibility: public Uploaded 28-09-2014 by Joaquin Vanschoren
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7903 features

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riconumeric9 unique values
0 missing
dispensnumeric5 unique values
0 missing
wronglinumeric2 unique values
0 missing
employenumeric16 unique values
0 missing
criminnumeric11 unique values
0 missing
sharpnumeric7 unique values
0 missing
suspendnumeric9 unique values
0 missing
hrnumeric2 unique values
0 missing
hungarinumeric3 unique values
0 missing
floridiannumeric2 unique values
0 missing
dodnumeric5 unique values
0 missing
logansportnumeric3 unique values
0 missing
survivornumeric7 unique values
0 missing
gamnumeric4 unique values
0 missing
hullnumeric3 unique values
0 missing
wicnumeric4 unique values
0 missing
holidainumeric5 unique values
0 missing
clutchnumeric2 unique values
0 missing
thinnumeric3 unique values
0 missing
surgicnumeric4 unique values
0 missing
approvnumeric19 unique values
0 missing
conductnumeric14 unique values
0 missing
pressnumeric9 unique values
0 missing
dissidnumeric4 unique values
0 missing
downwardnumeric6 unique values
0 missing
supplinumeric13 unique values
0 missing
editornumeric5 unique values
0 missing
laudablnumeric3 unique values
0 missing
weeklinumeric4 unique values
0 missing
pennumeric2 unique values
0 missing
homesteadnumeric3 unique values
0 missing
ecnumeric8 unique values
0 missing
paritinumeric6 unique values
0 missing
queennumeric5 unique values
0 missing
headquartnumeric4 unique values
0 missing
strattonnumeric3 unique values
0 missing
colludnumeric2 unique values
0 missing
lowestnumeric7 unique values
0 missing
batterinumeric3 unique values
0 missing
withernumeric2 unique values
0 missing
inflationarinumeric5 unique values
0 missing
peacetimnumeric4 unique values
0 missing
numbernumeric3 unique values
0 missing
reinnumeric2 unique values
0 missing
slapnumeric4 unique values
0 missing
dispatchnumeric3 unique values
0 missing
livestocknumeric5 unique values
0 missing
abstractnumeric4 unique values
0 missing
formulnumeric5 unique values
0 missing
shieldnumeric4 unique values
0 missing
oceangonumeric3 unique values
0 missing
kennumeric3 unique values
0 missing
sumnumeric13 unique values
0 missing
worksitnumeric3 unique values
0 missing
medianumeric7 unique values
0 missing
plausiblnumeric2 unique values
0 missing
rightlinumeric3 unique values
0 missing
asidnumeric9 unique values
0 missing
churchenumeric2 unique values
0 missing
attractnumeric8 unique values
0 missing
ditchnumeric2 unique values
0 missing
herdnumeric3 unique values
0 missing
recovnumeric9 unique values
0 missing
catalytnumeric3 unique values
0 missing
biosciencnumeric3 unique values
0 missing
americannumeric61 unique values
0 missing
formulanumeric11 unique values
0 missing
bachunumeric7 unique values
0 missing
philadelphianumeric4 unique values
0 missing
itcnumeric4 unique values
0 missing
norwainumeric3 unique values
0 missing
vouchernumeric4 unique values
0 missing
miniminumeric5 unique values
0 missing
englishnumeric10 unique values
0 missing
issuancnumeric8 unique values
0 missing
clampnumeric2 unique values
0 missing
litternumeric2 unique values
0 missing
pediatrnumeric4 unique values
0 missing
pairnumeric3 unique values
0 missing
cartoonnumeric3 unique values
0 missing
dulinumeric4 unique values
0 missing
payornumeric4 unique values
0 missing
carrotnumeric3 unique values
0 missing
secretarinumeric21 unique values
0 missing
basemnumeric3 unique values
0 missing
heavilinumeric6 unique values
0 missing
componnumeric14 unique values
0 missing
michigannumeric18 unique values
0 missing
egreginumeric3 unique values
0 missing
addictnumeric8 unique values
0 missing
wednesdainumeric3 unique values
0 missing
overseanumeric13 unique values
0 missing
infringnumeric4 unique values
0 missing
accompaninumeric10 unique values
0 missing
analystnumeric4 unique values
0 missing
prematurnumeric4 unique values
0 missing
partlinumeric5 unique values
0 missing
subscribnumeric5 unique values
0 missing
olympnumeric4 unique values
0 missing
pursuenumeric6 unique values
0 missing
tapenumeric5 unique values
0 missing
suspicinumeric2 unique values
0 missing
suspicionnumeric3 unique values
0 missing
attestnumeric3 unique values
0 missing
maritimnumeric11 unique values
0 missing
thirteennumeric2 unique values
0 missing
breachnumeric6 unique values
0 missing
jimminumeric3 unique values
0 missing
recoursnumeric5 unique values
0 missing
freighternumeric3 unique values
0 missing
compnumeric4 unique values
0 missing
baselinnumeric7 unique values
0 missing
weaponrinumeric2 unique values
0 missing
freestnumeric2 unique values
0 missing
humannumeric23 unique values
0 missing
integrnumeric13 unique values
0 missing
crystalnumeric3 unique values
0 missing
shirtnumeric3 unique values
0 missing
dealtnumeric5 unique values
0 missing
withdrawnnumeric5 unique values
0 missing
factionnumeric4 unique values
0 missing
outletnumeric3 unique values
0 missing
privatnumeric21 unique values
0 missing
hikenumeric7 unique values
0 missing
puertonumeric8 unique values
0 missing
oxidnumeric2 unique values
0 missing
squeeznumeric2 unique values
0 missing
vacatnumeric4 unique values
0 missing
torturnumeric5 unique values
0 missing
bartletnumeric6 unique values
0 missing
breathnumeric3 unique values
0 missing
marinumeric3 unique values
0 missing
gainernumeric3 unique values
0 missing
pleanumeric4 unique values
0 missing
sheernumeric2 unique values
0 missing
significnumeric17 unique values
0 missing
morrinumeric9 unique values
0 missing
burnnumeric4 unique values
0 missing
haitiannumeric7 unique values
0 missing
basinnumeric7 unique values
0 missing
overhaulnumeric3 unique values
0 missing
reyenumeric3 unique values
0 missing
remittnumeric2 unique values
0 missing
guardiannumeric4 unique values
0 missing
reshapnumeric2 unique values
0 missing
actualnumeric19 unique values
0 missing
juareznumeric5 unique values
0 missing
thrownnumeric5 unique values
0 missing
reconcilnumeric5 unique values
0 missing
crynumeric3 unique values
0 missing
evalunumeric10 unique values
0 missing
honornumeric11 unique values
0 missing
shiftnumeric9 unique values
0 missing
phonenumeric5 unique values
0 missing
nonexportnumeric2 unique values
0 missing
acenumeric3 unique values
0 missing
sneaknumeric3 unique values
0 missing
warinumeric2 unique values
0 missing
moneinumeric24 unique values
0 missing
philosophnumeric3 unique values
0 missing
insightnumeric2 unique values
0 missing
urgencnumeric3 unique values
0 missing
fowlernumeric8 unique values
0 missing
elephnumeric2 unique values
0 missing
beholdnumeric2 unique values
0 missing
cripplenumeric3 unique values
0 missing
concurrnumeric8 unique values
0 missing
ordinarilinumeric3 unique values
0 missing
westinghousnumeric3 unique values
0 missing
slogannumeric3 unique values
0 missing
affluentnumeric4 unique values
0 missing
barcelonumeric4 unique values
0 missing
hawaiiannumeric2 unique values
0 missing
bandwidthnumeric4 unique values
0 missing
valuatnumeric4 unique values
0 missing
supernnumeric2 unique values
0 missing
promotionnumeric11 unique values
0 missing
steelnumeric7 unique values
0 missing
smithnumeric16 unique values
0 missing
foremostnumeric5 unique values
0 missing
occasionnumeric8 unique values
0 missing
lengthinumeric3 unique values
0 missing
harrinumeric5 unique values
0 missing
pantnumeric2 unique values
0 missing
licensnumeric14 unique values
0 missing
burgeonnumeric2 unique values
0 missing
kingnumeric7 unique values
0 missing
amtnumeric5 unique values
0 missing
alaskannumeric3 unique values
0 missing
decrinumeric2 unique values
0 missing
kansanumeric11 unique values
0 missing
apologinumeric2 unique values
0 missing
strictlinumeric3 unique values
0 missing
harmannumeric6 unique values
0 missing
outskirtnumeric2 unique values
0 missing
invoknumeric5 unique values
0 missing
charlienumeric4 unique values
0 missing
rivalnumeric4 unique values
0 missing
broadennumeric3 unique values
0 missing
sprainumeric3 unique values
0 missing
shorternumeric4 unique values
0 missing
charitnumeric5 unique values
0 missing
shoenumeric6 unique values
0 missing
accreditnumeric2 unique values
0 missing
proprietornumeric3 unique values
0 missing
hostagnumeric4 unique values
0 missing
unanimnumeric10 unique values
0 missing
removnumeric13 unique values
0 missing
basinumeric18 unique values
0 missing
grossnumeric14 unique values
0 missing
williamnumeric12 unique values
0 missing
interimnumeric5 unique values
0 missing
deviatnumeric3 unique values
0 missing
transparnumeric3 unique values
0 missing
risennumeric4 unique values
0 missing
collectnumeric14 unique values
0 missing
kolbenumeric17 unique values
0 missing
additionnumeric24 unique values
0 missing
experimentnumeric6 unique values
0 missing
rangernumeric5 unique values
0 missing
brieflinumeric5 unique values
0 missing
errornumeric8 unique values
0 missing
stenholmnumeric9 unique values
0 missing
irannumeric4 unique values
0 missing
dispositnumeric7 unique values
0 missing
turnernumeric3 unique values
0 missing
wheelnumeric5 unique values
0 missing
opticnumeric4 unique values
0 missing
circumvnumeric4 unique values
0 missing
guestnumeric3 unique values
0 missing
paternnumeric4 unique values
0 missing
upholdnumeric4 unique values
0 missing
expedinumeric3 unique values
0 missing
romeronumeric4 unique values
0 missing
recordkeepnumeric4 unique values
0 missing
walletnumeric2 unique values
0 missing
invasionnumeric4 unique values
0 missing
anticipnumeric10 unique values
0 missing
tpnumeric2 unique values
0 missing
beltnumeric5 unique values
0 missing
couplenumeric10 unique values
0 missing
itemnumeric13 unique values
0 missing
lifetimnumeric5 unique values
0 missing
newportnumeric3 unique values
0 missing
payernumeric5 unique values
0 missing
preachnumeric2 unique values
0 missing
econominumeric26 unique values
0 missing
bureaucrnumeric5 unique values
0 missing
treatmentnumeric13 unique values
0 missing
admittedlinumeric2 unique values
0 missing
drunknumeric3 unique values
0 missing
checknumeric11 unique values
0 missing
posenumeric5 unique values
0 missing
forcefullinumeric3 unique values
0 missing
gutnumeric4 unique values
0 missing
tracenumeric2 unique values
0 missing
memorandanumeric2 unique values
0 missing
academnumeric7 unique values
0 missing
fdicnumeric4 unique values
0 missing
dollarnumeric27 unique values
0 missing
closestnumeric3 unique values
0 missing
vigilnumeric4 unique values
0 missing
concealnumeric3 unique values
0 missing
recklessnumeric4 unique values
0 missing
footwearnumeric4 unique values
0 missing
ftenumeric4 unique values
0 missing
videonumeric4 unique values
0 missing
consortianumeric4 unique values
0 missing
requestnumeric20 unique values
0 missing
drugnumeric21 unique values
0 missing
motornumeric14 unique values
0 missing
pricnumeric7 unique values
0 missing
tubenumeric5 unique values
0 missing
strainnumeric3 unique values
0 missing
complemnumeric4 unique values
0 missing
gladnumeric5 unique values
0 missing
misunderstandnumeric3 unique values
0 missing
quadruplnumeric3 unique values
0 missing
heaviestnumeric3 unique values
0 missing
picturnumeric5 unique values
0 missing
besidnumeric4 unique values
0 missing
warfarnumeric3 unique values
0 missing
underlinnumeric2 unique values
0 missing
prestiginumeric2 unique values
0 missing
combestnumeric5 unique values
0 missing
behaviornumeric6 unique values
0 missing
huffingtonnumeric5 unique values
0 missing
femalnumeric4 unique values
0 missing
spoonnumeric2 unique values
0 missing
dramanumeric2 unique values
0 missing
restnumeric12 unique values
0 missing
worthinumeric6 unique values
0 missing
adultnumeric8 unique values
0 missing
citatnumeric3 unique values
0 missing
virginnumeric7 unique values
0 missing
preparednumeric3 unique values
0 missing
nonpartisannumeric4 unique values
0 missing
shadownumeric3 unique values
0 missing
stripenumeric3 unique values
0 missing
mobilnumeric8 unique values
0 missing
taknumeric15 unique values
0 missing
springnumeric5 unique values
0 missing
averagnumeric23 unique values
0 missing
blownumeric4 unique values
0 missing
admirnumeric4 unique values
0 missing
quonumeric10 unique values
0 missing
housenumeric38 unique values
0 missing
gilbertnumeric2 unique values
0 missing
slicenumeric3 unique values
0 missing
shapenumeric4 unique values
0 missing
growthnumeric23 unique values
0 missing
foreignnumeric31 unique values
0 missing
inclusnumeric4 unique values
0 missing
alannumeric4 unique values
0 missing
forbiddennumeric3 unique values
0 missing
diplomatnumeric4 unique values
0 missing
rulenumeric29 unique values
0 missing
definumeric2 unique values
0 missing
plungnumeric2 unique values
0 missing
inconsistnumeric8 unique values
0 missing
unsatisfactorinumeric2 unique values
0 missing
comenumeric10 unique values
0 missing
unexpectnumeric2 unique values
0 missing
parenthesinumeric3 unique values
0 missing
dognumeric3 unique values
0 missing
mcnumeric6 unique values
0 missing
tenninumeric3 unique values
0 missing
spoilnumeric2 unique values
0 missing
plownumeric2 unique values
0 missing
commutnumeric4 unique values
0 missing
constitunumeric16 unique values
0 missing
hyphnumeric6 unique values
0 missing
immedinumeric13 unique values
0 missing
qualitinumeric13 unique values
0 missing
sunnumeric3 unique values
0 missing
resolutnumeric19 unique values
0 missing
ernestonumeric2 unique values
0 missing
monitornumeric12 unique values
0 missing
booknumeric12 unique values
0 missing
buildnumeric22 unique values
0 missing
extranumeric8 unique values
0 missing
badlinumeric4 unique values
0 missing
developnumeric29 unique values
0 missing
inscriptnumeric3 unique values
0 missing
hopnumeric5 unique values
0 missing
representnumeric7 unique values
0 missing
myernumeric7 unique values
0 missing
recordnumeric23 unique values
0 missing
serranonumeric5 unique values
0 missing
interamericannumeric3 unique values
0 missing
copnumeric5 unique values
0 missing
wilmingtonnumeric2 unique values
0 missing
epidemnumeric3 unique values
0 missing
viiinumeric7 unique values
0 missing
academianumeric2 unique values
0 missing
herebinumeric6 unique values
0 missing
bradinumeric5 unique values
0 missing
chargeablnumeric4 unique values
0 missing
warnernumeric2 unique values
0 missing

107 properties

336
Number of instances (rows) of the dataset.
7903
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.
7902
Number of numeric attributes.
1
Number of nominal attributes.
465.43
Maximum standard deviation of attributes of the numeric type.
1.19
Percentage of instances belonging to the least frequent class.
99.99
Percentage of numeric attributes.
0.22
Third quartile of means among attributes of the numeric type.
0.85
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
0.63
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.25
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Average entropy of the attributes.
4
Number 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.
0.16
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
0.41
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.47
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
126.27
Mean kurtosis among attributes of the numeric type.
0.73
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of entropy among attributes.
12.41
Third quartile of skewness among attributes of the numeric type.
0.65
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
0.23
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.71
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.42
Mean of means among attributes of the numeric type.
0.51
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
69.89
First quartile of kurtosis among attributes of the numeric type.
1.37
Third quartile of standard deviation of attributes of the numeric type.
0.85
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
0.63
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.25
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
Average mutual information between the nominal attributes and the target attribute.
0.3
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.02
First quartile of means among attributes of the numeric type.
0.84
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
0.41
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.47
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.
0.17
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.65
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
0.23
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.71
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.
7.99
First quartile of skewness among attributes of the numeric type.
0.62
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.85
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.
0.25
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
10.3
Mean skewness among attributes of the numeric type.
0.18
First quartile of standard deviation of attributes of the numeric type.
0.84
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
0.62
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.47
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
2.92
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
0.17
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.65
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
0.32
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
68.75
Percentage of instances belonging to the most frequent class.
Minimal entropy among attributes.
108.64
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.62
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
1.51
Entropy of the target attribute values.
0.24
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
231
Number of instances belonging to the most frequent class.
-2.01
Minimum kurtosis among attributes of the numeric type.
0.06
Second quartile (Median) of means among attributes of the numeric type.
0.84
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.
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.
0.17
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.27
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
335.87
Maximum kurtosis among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
10.41
Second quartile (Median) of skewness among attributes of the numeric type.
0.62
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.21
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
51.51
Maximum of means among attributes of the numeric type.
6
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of binary attributes.
0.45
Second quartile (Median) of standard deviation of attributes of the numeric type.
0.63
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
23.52
Number of attributes divided by the number of instances.
Maximum mutual information between the nominal attributes and the target attribute.
-0.11
Minimum skewness among attributes of the numeric 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.
6
The maximum number of distinct values among attributes of the nominal type.
0.09
Minimum standard deviation of attributes of the numeric type.
0
Percentage of missing values.
165.7
Third quartile of kurtosis among attributes of the numeric type.
0.48
Average class difference between consecutive instances.
0.23
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.71
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
18.32
Maximum skewness among attributes of the numeric type.

21 tasks

129 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL
91 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