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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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phonenumeric2 unique values
0 missing
photographernumeric2 unique values
0 missing
picturenumeric2 unique values
0 missing
piecenumeric2 unique values
0 missing
pilotnumeric2 unique values
0 missing
placenumeric2 unique values
0 missing
placesnumeric2 unique values
0 missing
plannumeric2 unique values
0 missing
planenumeric2 unique values
0 missing
planetnumeric2 unique values
0 missing
plansnumeric2 unique values
0 missing
playnumeric2 unique values
0 missing
playednumeric2 unique values
0 missing
playernumeric2 unique values
0 missing
playingnumeric2 unique values
0 missing
playsnumeric2 unique values
0 missing
plotnumeric2 unique values
0 missing
pointnumeric2 unique values
0 missing
policenumeric2 unique values
0 missing
politicalnumeric2 unique values
0 missing
poornumeric2 unique values
0 missing
popularnumeric2 unique values
0 missing
portraitnumeric2 unique values
0 missing
powernumeric2 unique values
0 missing
powerfulnumeric2 unique values
0 missing
powersnumeric2 unique values
0 missing
pregnantnumeric2 unique values
0 missing
presentnumeric2 unique values
0 missing
presidentnumeric2 unique values
0 missing
prettynumeric2 unique values
0 missing
priestnumeric2 unique values
0 missing
princenumeric2 unique values
0 missing
princessnumeric2 unique values
0 missing
prisonnumeric2 unique values
0 missing
privatenumeric2 unique values
0 missing
problemnumeric2 unique values
0 missing
problemsnumeric2 unique values
0 missing
processnumeric2 unique values
0 missing
producernumeric2 unique values
0 missing
productionnumeric2 unique values
0 missing
professionalnumeric2 unique values
0 missing
professornumeric2 unique values
0 missing
programnumeric2 unique values
0 missing
projectnumeric2 unique values
0 missing
protectnumeric2 unique values
0 missing
provenumeric2 unique values
0 missing
publicnumeric2 unique values
0 missing
putnumeric2 unique values
0 missing
putsnumeric2 unique values
0 missing
queennumeric2 unique values
0 missing
questnumeric2 unique values
0 missing
questionnumeric2 unique values
0 missing
questionsnumeric2 unique values
0 missing
quicklynumeric2 unique values
0 missing
quietnumeric2 unique values
0 missing
racenumeric2 unique values
0 missing
radionumeric2 unique values
0 missing
ranchnumeric2 unique values
0 missing
raynumeric2 unique values
0 missing
reachnumeric2 unique values
0 missing
readynumeric2 unique values
0 missing
realnumeric2 unique values
0 missing
realitynumeric2 unique values
0 missing
realizenumeric2 unique values
0 missing
realizesnumeric2 unique values
0 missing
reasonnumeric2 unique values
0 missing
receivesnumeric2 unique values
0 missing
recentlynumeric2 unique values
0 missing
recordnumeric2 unique values
0 missing
rednumeric2 unique values
0 missing
refusesnumeric2 unique values
0 missing
relationshipnumeric2 unique values
0 missing
relationshipsnumeric2 unique values
0 missing
releasenumeric2 unique values
0 missing
releasednumeric2 unique values
0 missing
remainsnumeric2 unique values
0 missing
remotenumeric2 unique values
0 missing
reporternumeric2 unique values
0 missing
rescuenumeric2 unique values
0 missing
responsiblenumeric2 unique values
0 missing
restnumeric2 unique values
0 missing
resultnumeric2 unique values
0 missing
resultsnumeric2 unique values
0 missing
returnnumeric2 unique values
0 missing
returningnumeric2 unique values
0 missing
returnsnumeric2 unique values
0 missing
revealnumeric2 unique values
0 missing
revealednumeric2 unique values
0 missing
revealsnumeric2 unique values
0 missing
revengenumeric2 unique values
0 missing
richnumeric2 unique values
0 missing
richardnumeric2 unique values
0 missing
ridenumeric2 unique values
0 missing
ringnumeric2 unique values
0 missing
risenumeric2 unique values
0 missing
rivalnumeric2 unique values
0 missing
rivernumeric2 unique values
0 missing
roadnumeric2 unique values
0 missing
robnumeric2 unique values
0 missing
robberynumeric2 unique values
0 missing
robertnumeric2 unique values
0 missing
rocknumeric2 unique values
0 missing
rolenumeric2 unique values
0 missing
romancenumeric2 unique values
0 missing
romanticnumeric2 unique values
0 missing
roomnumeric2 unique values
0 missing
runnumeric2 unique values
0 missing
runningnumeric2 unique values
0 missing
runsnumeric2 unique values
0 missing
russiannumeric2 unique values
0 missing
safenumeric2 unique values
0 missing
samnumeric2 unique values
0 missing
sannumeric2 unique values
0 missing
sarahnumeric2 unique values
0 missing
savenumeric2 unique values
0 missing
scenenumeric2 unique values
0 missing
scenesnumeric2 unique values
0 missing
schoolnumeric2 unique values
0 missing
scientistnumeric2 unique values
0 missing
screennumeric2 unique values
0 missing
seanumeric2 unique values
0 missing
searchnumeric2 unique values
0 missing
searchingnumeric2 unique values
0 missing
secretnumeric2 unique values
0 missing
secretlynumeric2 unique values
0 missing
secretsnumeric2 unique values
0 missing
securitynumeric2 unique values
0 missing
seeknumeric2 unique values
0 missing
seeksnumeric2 unique values
0 missing
seeminglynumeric2 unique values
0 missing
seesnumeric2 unique values
0 missing
sellnumeric2 unique values
0 missing
sendsnumeric2 unique values
0 missing
sensenumeric2 unique values
0 missing
serialnumeric2 unique values
0 missing
seriesnumeric2 unique values
0 missing
servicenumeric2 unique values
0 missing
setnumeric2 unique values
0 missing
setsnumeric2 unique values
0 missing
sexnumeric2 unique values
0 missing
sexualnumeric2 unique values
0 missing
sharenumeric2 unique values
0 missing
sheriffnumeric2 unique values
0 missing
shesnumeric2 unique values
0 missing
shipnumeric2 unique values
0 missing
shopnumeric2 unique values
0 missing
shortnumeric2 unique values
0 missing
shotnumeric2 unique values
0 missing
shownumeric2 unique values
0 missing
shownnumeric2 unique values
0 missing
showsnumeric2 unique values
0 missing
sidenumeric2 unique values
0 missing
simplenumeric2 unique values
0 missing
singernumeric2 unique values
0 missing
singhnumeric2 unique values
0 missing
singingnumeric2 unique values
0 missing
singlenumeric2 unique values
0 missing
sisternumeric2 unique values
0 missing
sistersnumeric2 unique values
0 missing
situationnumeric2 unique values
0 missing
slowlynumeric2 unique values
0 missing
smallnumeric2 unique values
0 missing
socialnumeric2 unique values
0 missing
societynumeric2 unique values
0 missing
soldiernumeric2 unique values
0 missing
soldiersnumeric2 unique values
0 missing
solvenumeric2 unique values
0 missing
sonnumeric2 unique values
0 missing
songnumeric2 unique values
0 missing
songsnumeric2 unique values
0 missing
sonsnumeric2 unique values
0 missing
soulnumeric2 unique values
0 missing
soundnumeric2 unique values
0 missing
southnumeric2 unique values
0 missing
spacenumeric2 unique values
0 missing
specialnumeric2 unique values
0 missing
spendnumeric2 unique values
0 missing
spendsnumeric2 unique values
0 missing
spiritnumeric2 unique values
0 missing
stagenumeric2 unique values
0 missing
standnumeric2 unique values
0 missing
starnumeric2 unique values
0 missing
starsnumeric2 unique values
0 missing
startnumeric2 unique values
0 missing
startsnumeric2 unique values
0 missing
statenumeric2 unique values
0 missing
statesnumeric2 unique values
0 missing
stationnumeric2 unique values
0 missing
staynumeric2 unique values
0 missing
stealnumeric2 unique values
0 missing
stevenumeric2 unique values
0 missing
stolennumeric2 unique values
0 missing
stopnumeric2 unique values
0 missing
storenumeric2 unique values
0 missing
storiesnumeric2 unique values
0 missing
storynumeric2 unique values
0 missing
strangenumeric2 unique values
0 missing
strangernumeric2 unique values
0 missing
streetnumeric2 unique values
0 missing
streetsnumeric2 unique values
0 missing
strongnumeric2 unique values
0 missing
strugglenumeric2 unique values
0 missing
strugglesnumeric2 unique values
0 missing
strugglingnumeric2 unique values
0 missing
studentnumeric2 unique values
0 missing
studentsnumeric2 unique values
0 missing
studionumeric2 unique values
0 missing
stylenumeric2 unique values
0 missing
successnumeric2 unique values
0 missing
successfulnumeric2 unique values
0 missing
suddenlynumeric2 unique values
0 missing
suicidenumeric2 unique values
0 missing
summernumeric2 unique values
0 missing
supportnumeric2 unique values
0 missing
survivenumeric2 unique values
0 missing
suspectnumeric2 unique values
0 missing
suspectsnumeric2 unique values
0 missing
systemnumeric2 unique values
0 missing
takesnumeric2 unique values
0 missing
takingnumeric2 unique values
0 missing
talenumeric2 unique values
0 missing
talknumeric2 unique values
0 missing
teachernumeric2 unique values
0 missing
teamnumeric2 unique values
0 missing
teenagenumeric2 unique values
0 missing
televisionnumeric2 unique values
0 missing
tellingnumeric2 unique values
0 missing
tellsnumeric2 unique values
0 missing
tennumeric2 unique values
0 missing
testnumeric2 unique values
0 missing
texasnumeric2 unique values
0 missing
theyrenumeric2 unique values
0 missing
thiefnumeric2 unique values
0 missing
thingnumeric2 unique values
0 missing
thingsnumeric2 unique values
0 missing
thinksnumeric2 unique values
0 missing
thomasnumeric2 unique values
0 missing
thoughtnumeric2 unique values
0 missing
thrownnumeric2 unique values
0 missing
timenumeric2 unique values
0 missing
timesnumeric2 unique values
0 missing
titlenumeric2 unique values
0 missing
todaynumeric2 unique values
0 missing
toldnumeric2 unique values
0 missing
tomnumeric2 unique values
0 missing
tonynumeric2 unique values
0 missing
topnumeric2 unique values
0 missing
tournumeric2 unique values
0 missing
townnumeric2 unique values
0 missing
tracknumeric2 unique values
0 missing
tragedynumeric2 unique values
0 missing
tragicnumeric2 unique values
0 missing
trailnumeric2 unique values
0 missing
trainnumeric2 unique values
0 missing
trainingnumeric2 unique values
0 missing
trappednumeric2 unique values
0 missing
travelnumeric2 unique values
0 missing
travelsnumeric2 unique values
0 missing
treasurenumeric2 unique values
0 missing
trialnumeric2 unique values
0 missing
tripnumeric2 unique values
0 missing
troublenumeric2 unique values
0 missing
truenumeric2 unique values
0 missing
truthnumeric2 unique values
0 missing
turnnumeric2 unique values
0 missing
turnednumeric2 unique values
0 missing
turnsnumeric2 unique values
0 missing
tvnumeric2 unique values
0 missing
ultimatenumeric2 unique values
0 missing
ultimatelynumeric2 unique values
0 missing
unablenumeric2 unique values
0 missing
unclenumeric2 unique values
0 missing
undergroundnumeric2 unique values
0 missing
understandnumeric2 unique values
0 missing
unexpectednumeric2 unique values
0 missing
uniquenumeric2 unique values
0 missing
unitednumeric2 unique values
0 missing
universitynumeric2 unique values
0 missing
unknownnumeric2 unique values
0 missing
vannumeric2 unique values
0 missing
versionnumeric2 unique values
0 missing
vgnumeric2 unique values
0 missing
victimnumeric2 unique values
0 missing
victimsnumeric2 unique values
0 missing
videonumeric2 unique values
0 missing
viewnumeric2 unique values
0 missing
villagenumeric2 unique values
0 missing
violencenumeric2 unique values
0 missing
violentnumeric2 unique values
0 missing
visitnumeric2 unique values
0 missing
visitsnumeric2 unique values
0 missing
voicenumeric2 unique values
0 missing
waitingnumeric2 unique values
0 missing
wantednumeric2 unique values
0 missing
warnumeric2 unique values
0 missing
watchnumeric2 unique values
0 missing
waternumeric2 unique values
0 missing
waysnumeric2 unique values
0 missing
wealthynumeric2 unique values
0 missing
weddingnumeric2 unique values
0 missing
weeknumeric2 unique values
0 missing
westnumeric2 unique values
0 missing
westernnumeric2 unique values
0 missing
whitenumeric2 unique values
0 missing
whosnumeric2 unique values
0 missing
wifenumeric2 unique values
0 missing
wildnumeric2 unique values
0 missing
williamnumeric2 unique values
0 missing
winnumeric2 unique values
0 missing
winningnumeric2 unique values
0 missing
winsnumeric2 unique values
0 missing
witnessnumeric2 unique values
0 missing
womannumeric2 unique values
0 missing
womennumeric2 unique values
0 missing
wontnumeric2 unique values
0 missing
woodsnumeric2 unique values
0 missing
wordnumeric2 unique values
0 missing
wordsnumeric2 unique values
0 missing
worknumeric2 unique values
0 missing
workingnumeric2 unique values
0 missing
worksnumeric2 unique values
0 missing
worldnumeric2 unique values
0 missing
worldsnumeric2 unique values
0 missing
worsenumeric2 unique values
0 missing
writernumeric2 unique values
0 missing
wrongnumeric2 unique values
0 missing
yearnumeric2 unique values
0 missing
yearsnumeric2 unique values
0 missing
yorknumeric2 unique values
0 missing
youngnumeric2 unique values
0 missing
Show first 100 features

107 properties

NumberOfInstances
120919
Number of instances (rows) of the dataset.
NumberOfFeatures
1002
Number of attributes (columns) of the dataset.
NumberOfClasses
2
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
1001
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
AutoCorrelation
0.59
Average class difference between consecutive instances.
CfsSubsetEval_DecisionStumpAUC
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
CfsSubsetEval_DecisionStumpErrRate
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
CfsSubsetEval_DecisionStumpKappa
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
CfsSubsetEval_NaiveBayesAUC
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
CfsSubsetEval_NaiveBayesErrRate
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
CfsSubsetEval_NaiveBayesKappa
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
CfsSubsetEval_kNN1NAUC
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
CfsSubsetEval_kNN1NErrRate
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
CfsSubsetEval_kNN1NKappa
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
ClassEntropy
0.94
Entropy of the target attribute values.
DecisionStumpAUC
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpErrRate
0.36
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpKappa
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
Dimensionality
0.01
Number of attributes divided by the number of instances.
EquivalentNumberOfAtts
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
J48.00001.AUC
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.ErrRate
0.44
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.Kappa
0.03
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.0001.AUC
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.ErrRate
0.44
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.Kappa
0.03
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.001.AUC
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.ErrRate
0.44
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.Kappa
0.03
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
MajorityClassPercentage
63.79
Percentage of instances belonging to the most frequent class.
MajorityClassSize
77140
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
216.48
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
0.2
Maximum of means among attributes of the numeric type.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
2
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
14.78
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
0.4
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
71.54
Mean kurtosis among attributes of the numeric type.
MeanMeansOfNumericAtts
0.02
Mean of means among attributes of the numeric type.
MeanMutualInformation
Average mutual information between the nominal attributes and the target attribute.
MeanNoiseToSignalRatio
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
MeanNominalAttDistinctValues
2
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
8.26
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
0.13
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
0.29
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
0
Minimum of means among attributes of the numeric type.
MinMutualInformation
Minimal mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
2
The minimal number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
1.51
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.07
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
36.21
Percentage of instances belonging to the least frequent class.
MinorityClassSize
43779
Number of instances belonging to the least frequent class.
NaiveBayesAUC
0.56
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesErrRate
0.42
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesKappa
0.08
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NumberOfBinaryFeatures
1
Number of binary attributes.
PercentageOfBinaryFeatures
0.1
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfNumericFeatures
99.9
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
0.1
Percentage of nominal attributes.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
44.07
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
0.01
First quartile of means among attributes of the numeric type.
Quartile1MutualInformation
First quartile of mutual information between the nominal attributes and the target attribute.
Quartile1SkewnessOfNumericAtts
6.79
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
0.1
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
71.5
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
0.01
Second quartile (Median) of means among attributes of the numeric type.
Quartile2MutualInformation
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Quartile2SkewnessOfNumericAtts
8.57
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
0.11
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
97.01
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
0.02
Third quartile of means among attributes of the numeric type.
Quartile3MutualInformation
Third quartile of mutual information between the nominal attributes and the target attribute.
Quartile3SkewnessOfNumericAtts
9.95
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
0.14
Third quartile of standard deviation of attributes of the numeric type.
REPTreeDepth1AUC
0.54
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1ErrRate
0.37
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1Kappa
0.01
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth2AUC
0.54
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2ErrRate
0.37
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2Kappa
0.01
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth3AUC
0.54
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3ErrRate
0.37
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3Kappa
0.01
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
RandomTreeDepth1AUC
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1ErrRate
0.46
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1Kappa
0.01
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth2AUC
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2ErrRate
0.46
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2Kappa
0.01
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth3AUC
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3ErrRate
0.46
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3Kappa
0.01
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
StdvNominalAttDistinctValues
0
Standard deviation of the number of distinct values among attributes of the nominal type.
kNN1NAUC
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NErrRate
0.43
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NKappa
0.01
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
Show all 107 properties

24 tasks

Supervised Classification on IMDB.drama
19 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Drama
Supervised Classification on IMDB.drama
1 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: Drama
Supervised Classification on IMDB.drama
1 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Drama
Supervised Classification on IMDB.drama
0 runs - estimation_procedure: 20% Holdout (Ordered) - evaluation_measure: predictive_accuracy - target_feature: Drama
Supervised Regression on IMDB.drama
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Regression on IMDB.drama
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: class
Supervised Regression on IMDB.drama
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: class
Supervised Regression on IMDB.drama
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Regression on IMDB.drama
0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Regression on IMDB.drama
0 runs - estimation_procedure: Custom 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Regression on IMDB.drama
0 runs - estimation_procedure: Test on Training Data - evaluation_measure: predictive_accuracy - target_feature: class
Learning Curve on IMDB.drama
7 runs - estimation_procedure: 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: Drama
Supervised Data Stream Classification on IMDB.drama
325 runs - estimation_procedure: Interleaved Test then Train - target_feature: Drama
Clustering on IMDB.drama
0 runs
Clustering on IMDB.drama
0 runs - estimation_procedure: 50 times Clustering
Clustering on IMDB.drama
0 runs - estimation_procedure: 50 times Clustering
Clustering on IMDB.drama
0 runs - estimation_procedure: 50 times Clustering
Clustering on IMDB.drama
0 runs - estimation_procedure: 50 times Clustering
Clustering on IMDB.drama
0 runs - estimation_procedure: 50 times Clustering
Clustering on IMDB.drama
0 runs - estimation_procedure: 50 times Clustering
Clustering on IMDB.drama
0 runs - estimation_procedure: 50 times Clustering
Clustering on IMDB.drama
0 runs - estimation_procedure: 50 times Clustering
Clustering on IMDB.drama
0 runs - estimation_procedure: 50 times Clustering
Clustering on IMDB.drama
0 runs - estimation_procedure: 50 times Clustering
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