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IMDB.drama

IMDB.drama

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Author: Read, Jesse and Bifet, Albert and Pfahringer, Bernhard and Holmes, Geoff Source: Please cite: Read, Jesse & Bifet, Albert & Pfahringer, Bernhard & Holmes, Geoff. (2012). Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data. 313-323. 10.1007/978-3-642-34156-4_29.

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chargenumeric2 unique values
0 missing
hirednumeric2 unique values
0 missing
plansnumeric2 unique values
0 missing
turnsnumeric2 unique values
0 missing
charlesnumeric2 unique values
0 missing
hiresnumeric2 unique values
0 missing
playnumeric2 unique values
0 missing
tvnumeric2 unique values
0 missing
charlienumeric2 unique values
0 missing
historynumeric2 unique values
0 missing
playednumeric2 unique values
0 missing
ultimatenumeric2 unique values
0 missing
chasenumeric2 unique values
0 missing
hitnumeric2 unique values
0 missing
playernumeric2 unique values
0 missing
ultimatelynumeric2 unique values
0 missing
chiefnumeric2 unique values
0 missing
holdnumeric2 unique values
0 missing
playingnumeric2 unique values
0 missing
unablenumeric2 unique values
0 missing
childnumeric2 unique values
0 missing
hollywoodnumeric2 unique values
0 missing
playsnumeric2 unique values
0 missing
unclenumeric2 unique values
0 missing
childhoodnumeric2 unique values
0 missing
homenumeric2 unique values
0 missing
plotnumeric2 unique values
0 missing
undergroundnumeric2 unique values
0 missing
childrennumeric2 unique values
0 missing
hopenumeric2 unique values
0 missing
pointnumeric2 unique values
0 missing
understandnumeric2 unique values
0 missing
chinesenumeric2 unique values
0 missing
hopesnumeric2 unique values
0 missing
policenumeric2 unique values
0 missing
unexpectednumeric2 unique values
0 missing
choicenumeric2 unique values
0 missing
horrornumeric2 unique values
0 missing
politicalnumeric2 unique values
0 missing
uniquenumeric2 unique values
0 missing
chrisnumeric2 unique values
0 missing
horsenumeric2 unique values
0 missing
poornumeric2 unique values
0 missing
unitednumeric2 unique values
0 missing
christmasnumeric2 unique values
0 missing
hospitalnumeric2 unique values
0 missing
popularnumeric2 unique values
0 missing
universitynumeric2 unique values
0 missing
churchnumeric2 unique values
0 missing
hostnumeric2 unique values
0 missing
portraitnumeric2 unique values
0 missing
unknownnumeric2 unique values
0 missing
citynumeric2 unique values
0 missing
hotnumeric2 unique values
0 missing
powernumeric2 unique values
0 missing
vannumeric2 unique values
0 missing
civilnumeric2 unique values
0 missing
hotelnumeric2 unique values
0 missing
powerfulnumeric2 unique values
0 missing
versionnumeric2 unique values
0 missing
claimsnumeric2 unique values
0 missing
hoursnumeric2 unique values
0 missing
powersnumeric2 unique values
0 missing
vgnumeric2 unique values
0 missing
classnumeric2 unique values
0 missing
housenumeric2 unique values
0 missing
pregnantnumeric2 unique values
0 missing
victimnumeric2 unique values
0 missing
classicnumeric2 unique values
0 missing
hugenumeric2 unique values
0 missing
presentnumeric2 unique values
0 missing
victimsnumeric2 unique values
0 missing
clearnumeric2 unique values
0 missing
humannumeric2 unique values
0 missing
presidentnumeric2 unique values
0 missing
videonumeric2 unique values
0 missing
closenumeric2 unique values
0 missing
husbandnumeric2 unique values
0 missing
prettynumeric2 unique values
0 missing
viewnumeric2 unique values
0 missing
clubnumeric2 unique values
0 missing
ideanumeric2 unique values
0 missing
priestnumeric2 unique values
0 missing
villagenumeric2 unique values
0 missing
coldnumeric2 unique values
0 missing
identitynumeric2 unique values
0 missing
princenumeric2 unique values
0 missing
violencenumeric2 unique values
0 missing
collegenumeric2 unique values
0 missing
iinumeric2 unique values
0 missing
princessnumeric2 unique values
0 missing
violentnumeric2 unique values
0 missing
comedynumeric2 unique values
0 missing
ilnumeric2 unique values
0 missing
prisonnumeric2 unique values
0 missing
visitnumeric2 unique values
0 missing
comicnumeric2 unique values
0 missing
imagesnumeric2 unique values
0 missing
privatenumeric2 unique values
0 missing
visitsnumeric2 unique values
0 missing
comingnumeric2 unique values
0 missing
immediatelynumeric2 unique values
0 missing
problemnumeric2 unique values
0 missing
voicenumeric2 unique values
0 missing
commonnumeric2 unique values
0 missing
importantnumeric2 unique values
0 missing
problemsnumeric2 unique values
0 missing
waitingnumeric2 unique values
0 missing
communitynumeric2 unique values
0 missing
includenumeric2 unique values
0 missing
processnumeric2 unique values
0 missing
wantednumeric2 unique values
0 missing
companynumeric2 unique values
0 missing
includesnumeric2 unique values
0 missing
producernumeric2 unique values
0 missing
warnumeric2 unique values
0 missing
completenumeric2 unique values
0 missing
includingnumeric2 unique values
0 missing
productionnumeric2 unique values
0 missing
watchnumeric2 unique values
0 missing
completelynumeric2 unique values
0 missing
indianumeric2 unique values
0 missing
professionalnumeric2 unique values
0 missing
waternumeric2 unique values
0 missing
computernumeric2 unique values
0 missing
indiannumeric2 unique values
0 missing
professornumeric2 unique values
0 missing
waysnumeric2 unique values
0 missing
connumeric2 unique values
0 missing
industrynumeric2 unique values
0 missing
programnumeric2 unique values
0 missing
wealthynumeric2 unique values
0 missing
conflictnumeric2 unique values
0 missing
informationnumeric2 unique values
0 missing
projectnumeric2 unique values
0 missing
weddingnumeric2 unique values
0 missing
consequencesnumeric2 unique values
0 missing
innocentnumeric2 unique values
0 missing
protectnumeric2 unique values
0 missing
weeknumeric2 unique values
0 missing
continuenumeric2 unique values
0 missing
insidenumeric2 unique values
0 missing
provenumeric2 unique values
0 missing
westnumeric2 unique values
0 missing
continuesnumeric2 unique values
0 missing
inspectornumeric2 unique values
0 missing
publicnumeric2 unique values
0 missing
westernnumeric2 unique values
0 missing
controlnumeric2 unique values
0 missing
interestnumeric2 unique values
0 missing
putnumeric2 unique values
0 missing
whitenumeric2 unique values
0 missing
convincenumeric2 unique values
0 missing
internationalnumeric2 unique values
0 missing
putsnumeric2 unique values
0 missing
whosnumeric2 unique values
0 missing
copnumeric2 unique values
0 missing
interviewsnumeric2 unique values
0 missing
queennumeric2 unique values
0 missing
wifenumeric2 unique values
0 missing
countrynumeric2 unique values
0 missing
investigatenumeric2 unique values
0 missing
questnumeric2 unique values
0 missing
wildnumeric2 unique values
0 missing
couplenumeric2 unique values
0 missing
investigationnumeric2 unique values
0 missing
questionnumeric2 unique values
0 missing
williamnumeric2 unique values
0 missing
courtnumeric2 unique values
0 missing
involvednumeric2 unique values
0 missing
questionsnumeric2 unique values
0 missing
winnumeric2 unique values
0 missing
crashnumeric2 unique values
0 missing
islandnumeric2 unique values
0 missing
quicklynumeric2 unique values
0 missing
winningnumeric2 unique values
0 missing
crazynumeric2 unique values
0 missing
isntnumeric2 unique values
0 missing
quietnumeric2 unique values
0 missing
winsnumeric2 unique values
0 missing
createnumeric2 unique values
0 missing
issuesnumeric2 unique values
0 missing
racenumeric2 unique values
0 missing
witnessnumeric2 unique values
0 missing
creatednumeric2 unique values
0 missing
italiannumeric2 unique values
0 missing
radionumeric2 unique values
0 missing
womannumeric2 unique values
0 missing
crewnumeric2 unique values
0 missing
jacknumeric2 unique values
0 missing
ranchnumeric2 unique values
0 missing
womennumeric2 unique values
0 missing
crimenumeric2 unique values
0 missing
jailnumeric2 unique values
0 missing
raynumeric2 unique values
0 missing
wontnumeric2 unique values
0 missing
criminalnumeric2 unique values
0 missing
jamesnumeric2 unique values
0 missing
reachnumeric2 unique values
0 missing
woodsnumeric2 unique values
0 missing
crossnumeric2 unique values
0 missing
janenumeric2 unique values
0 missing
readynumeric2 unique values
0 missing
wordnumeric2 unique values
0 missing
culturenumeric2 unique values
0 missing
japanesenumeric2 unique values
0 missing
realnumeric2 unique values
0 missing
wordsnumeric2 unique values
0 missing
dadnumeric2 unique values
0 missing
jeffnumeric2 unique values
0 missing
realitynumeric2 unique values
0 missing
worknumeric2 unique values
0 missing
dailynumeric2 unique values
0 missing
jerrynumeric2 unique values
0 missing
realizenumeric2 unique values
0 missing
workingnumeric2 unique values
0 missing
dancenumeric2 unique values
0 missing
jewishnumeric2 unique values
0 missing
realizesnumeric2 unique values
0 missing
worksnumeric2 unique values
0 missing
dangernumeric2 unique values
0 missing
jimnumeric2 unique values
0 missing
reasonnumeric2 unique values
0 missing
worldnumeric2 unique values
0 missing
dangerousnumeric2 unique values
0 missing
jimmynumeric2 unique values
0 missing
receivesnumeric2 unique values
0 missing
worldsnumeric2 unique values
0 missing
dannynumeric2 unique values
0 missing
jobnumeric2 unique values
0 missing
recentlynumeric2 unique values
0 missing
worsenumeric2 unique values
0 missing
darknumeric2 unique values
0 missing
joenumeric2 unique values
0 missing
recordnumeric2 unique values
0 missing
writernumeric2 unique values
0 missing
datenumeric2 unique values
0 missing
johnnumeric2 unique values
0 missing
rednumeric2 unique values
0 missing
wrongnumeric2 unique values
0 missing
daughternumeric2 unique values
0 missing
johnnynumeric2 unique values
0 missing
refusesnumeric2 unique values
0 missing
yearnumeric2 unique values
0 missing
daughtersnumeric2 unique values
0 missing
joinnumeric2 unique values
0 missing
relationshipnumeric2 unique values
0 missing
yearsnumeric2 unique values
0 missing
davidnumeric2 unique values
0 missing
joinsnumeric2 unique values
0 missing
relationshipsnumeric2 unique values
0 missing
yorknumeric2 unique values
0 missing
daynumeric2 unique values
0 missing
jonesnumeric2 unique values
0 missing
releasenumeric2 unique values
0 missing
youngnumeric2 unique values
0 missing
daysnumeric2 unique values
0 missing
journeynumeric2 unique values
0 missing
releasednumeric2 unique values
0 missing
youngernumeric2 unique values
0 missing
denumeric2 unique values
0 missing
judgenumeric2 unique values
0 missing
remainsnumeric2 unique values
0 missing
youthnumeric2 unique values
0 missing
deadnumeric2 unique values
0 missing
justicenumeric2 unique values
0 missing
remotenumeric2 unique values
0 missing
deadlynumeric2 unique values
0 missing
keynumeric2 unique values
0 missing
reporternumeric2 unique values
0 missing
dealnumeric2 unique values
0 missing
kidnumeric2 unique values
0 missing
rescuenumeric2 unique values
0 missing
deathnumeric2 unique values
0 missing
kidnappednumeric2 unique values
0 missing
responsiblenumeric2 unique values
0 missing
decidenumeric2 unique values
0 missing
kidsnumeric2 unique values
0 missing
restnumeric2 unique values
0 missing
decidesnumeric2 unique values
0 missing
killnumeric2 unique values
0 missing
resultnumeric2 unique values
0 missing
decisionnumeric2 unique values
0 missing
killednumeric2 unique values
0 missing
resultsnumeric2 unique values
0 missing
deepnumeric2 unique values
0 missing
killernumeric2 unique values
0 missing
returnnumeric2 unique values
0 missing
delnumeric2 unique values
0 missing
killingnumeric2 unique values
0 missing
returningnumeric2 unique values
0 missing
departmentnumeric2 unique values
0 missing
killsnumeric2 unique values
0 missing
returnsnumeric2 unique values
0 missing
desertnumeric2 unique values
0 missing
kindnumeric2 unique values
0 missing
revealnumeric2 unique values
0 missing
desirenumeric2 unique values
0 missing
kingnumeric2 unique values
0 missing
revealednumeric2 unique values
0 missing
desperatenumeric2 unique values
0 missing
knowingnumeric2 unique values
0 missing
revealsnumeric2 unique values
0 missing
destroynumeric2 unique values
0 missing
lanumeric2 unique values
0 missing
revengenumeric2 unique values
0 missing
detectivenumeric2 unique values
0 missing
ladynumeric2 unique values
0 missing
richnumeric2 unique values
0 missing
determinednumeric2 unique values
0 missing
lakenumeric2 unique values
0 missing
richardnumeric2 unique values
0 missing
dinumeric2 unique values
0 missing
landnumeric2 unique values
0 missing
ridenumeric2 unique values
0 missing
dienumeric2 unique values
0 missing
largenumeric2 unique values
0 missing
ringnumeric2 unique values
0 missing
diednumeric2 unique values
0 missing
latenumeric2 unique values
0 missing
risenumeric2 unique values
0 missing
diesnumeric2 unique values
0 missing
lawnumeric2 unique values
0 missing
rivalnumeric2 unique values
0 missing
difficultnumeric2 unique values
0 missing
lawyernumeric2 unique values
0 missing
rivernumeric2 unique values
0 missing
dinnernumeric2 unique values
0 missing

107 properties

120919
Number of instances (rows) of the dataset.
1002
Number of attributes (columns) of the dataset.
2
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.
1001
Number of numeric attributes.
1
Number of nominal attributes.
8.57
Second quartile (Median) of skewness among attributes of the numeric type.
0.01
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
0.2
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0.1
Percentage of binary attributes.
0.11
Second quartile (Median) of standard deviation of attributes of the numeric type.
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.01
Number of attributes divided by the number of instances.
Maximum mutual information between the nominal attributes and the target attribute.
2
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.
0.46
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.
2
The maximum number of distinct values among attributes of the nominal type.
1.51
Minimum skewness among attributes of the numeric type.
0
Percentage of missing values.
97.01
Third quartile of kurtosis among attributes of the numeric type.
0.59
Average class difference between consecutive instances.
0.01
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
14.78
Maximum skewness among attributes of the numeric type.
0.07
Minimum standard deviation of attributes of the numeric type.
99.9
Percentage of numeric attributes.
0.02
Third quartile of means among attributes of the numeric type.
0.5
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
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.44
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0.4
Maximum standard deviation of attributes of the numeric type.
36.21
Percentage of instances belonging to the least frequent class.
0.1
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
0.36
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
0.46
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.03
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Average entropy of the attributes.
43779
Number of instances belonging to the least frequent class.
First quartile of entropy among attributes.
9.95
Third quartile of skewness among attributes of the numeric type.
0
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
0.01
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
71.54
Mean kurtosis among attributes of the numeric type.
0.56
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
44.07
First quartile of kurtosis among attributes of the numeric type.
0.14
Third quartile of standard deviation of attributes of the numeric type.
0.5
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
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.44
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.02
Mean of means among attributes of the numeric type.
0.42
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.01
First quartile of means among attributes of the numeric type.
0.54
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.36
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
0.46
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.03
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
Average mutual information between the nominal attributes and the target attribute.
0.08
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of mutual information between the nominal attributes and the target attribute.
0.37
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0
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
0.01
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.51
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.
1
Number of binary attributes.
6.79
First quartile of skewness among attributes of the numeric type.
0.01
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.5
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.
0.44
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
2
Average number of distinct values among the attributes of the nominal type.
0.1
First quartile of standard deviation of attributes of the numeric type.
0.54
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.36
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
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.03
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
8.26
Mean skewness among attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
0.37
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0
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
0.43
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
63.79
Percentage of instances belonging to the most frequent class.
0.13
Mean standard deviation of attributes of the numeric type.
71.5
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.01
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.94
Entropy of the target attribute values.
0.01
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
77140
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.
0.54
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum entropy among attributes.
0.29
Minimum kurtosis among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.37
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.36
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
216.48
Maximum kurtosis among attributes of the numeric type.
0
Minimum of means among attributes of the numeric type.

24 tasks

19 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Drama
1 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Drama
1 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: Drama
0 runs - estimation_procedure: 20% Holdout (Ordered) - evaluation_measure: predictive_accuracy - target_feature: Drama
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: class
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: class
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 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
7 runs - estimation_procedure: 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: Drama
325 runs - estimation_procedure: Interleaved Test then Train - target_feature: Drama
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