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amazon-commerce-reviews

amazon-commerce-reviews

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Author: Zhi Liu Source: UCI Please cite: Dataset creator and donator: Zhi Liu, e-mail: liuzhi8673 '@' gmail.com, institution: National Engineering Research Center for E-Learning, Hubei Wuhan, China Data Set Information: dataset are derived from the customers reviews in Amazon Commerce Website for authorship identification. Most previous studies conducted the identification experiments for two to ten authors. But in the online context, reviews to be identified usually have more potential authors, and normally classification algorithms are not adapted to large number of target classes. To examine the robustness of classification algorithms, we identified 50 of the most active users (represented by a unique ID and username) who frequently posted reviews in these newsgroups. The number of reviews we collected for each author is 30. Attribute Information: attribution includes authors' linguistic style such as usage of digit, punctuation, words and sentences' length and usage frequency of words and so on

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0 missing
V9089numeric8 unique values
0 missing
V9090numeric6 unique values
0 missing
V9091numeric5 unique values
0 missing
V9092numeric5 unique values
0 missing
V9093numeric8 unique values
0 missing
V9094numeric6 unique values
0 missing
V9095numeric7 unique values
0 missing
V9096numeric5 unique values
0 missing
V9097numeric7 unique values
0 missing
V9098numeric5 unique values
0 missing
V9099numeric6 unique values
0 missing
V9100numeric7 unique values
0 missing
V9101numeric5 unique values
0 missing
V9102numeric5 unique values
0 missing
V9103numeric6 unique values
0 missing
V9104numeric5 unique values
0 missing
V9105numeric5 unique values
0 missing
V9106numeric7 unique values
0 missing
V9107numeric6 unique values
0 missing
V9108numeric7 unique values
0 missing
V9109numeric5 unique values
0 missing
V9110numeric9 unique values
0 missing
V9111numeric9 unique values
0 missing
V9112numeric8 unique values
0 missing
V9113numeric5 unique values
0 missing
V9114numeric6 unique values
0 missing
V9115numeric7 unique values
0 missing
V9116numeric8 unique values
0 missing
V9117numeric8 unique values
0 missing
V9118numeric7 unique values
0 missing
V9119numeric5 unique values
0 missing
V9120numeric6 unique values
0 missing
V9121numeric5 unique values
0 missing
V9122numeric8 unique values
0 missing
V9123numeric7 unique values
0 missing
V9124numeric6 unique values
0 missing
V9125numeric6 unique values
0 missing
V9126numeric8 unique values
0 missing
V9127numeric5 unique values
0 missing
V9128numeric5 unique values
0 missing
V9129numeric6 unique values
0 missing
V9130numeric6 unique values
0 missing
V9131numeric4 unique values
0 missing
V9132numeric7 unique values
0 missing
V9133numeric7 unique values
0 missing
V9134numeric7 unique values
0 missing
V9135numeric5 unique values
0 missing
V9136numeric5 unique values
0 missing
V9137numeric9 unique values
0 missing
V9138numeric6 unique values
0 missing
V9139numeric9 unique values
0 missing
V9140numeric5 unique values
0 missing
V9141numeric5 unique values
0 missing
V9142numeric5 unique values
0 missing
V9143numeric6 unique values
0 missing
V9144numeric7 unique values
0 missing
V9145numeric4 unique values
0 missing
V9146numeric5 unique values
0 missing
V9147numeric8 unique values
0 missing
V9148numeric6 unique values
0 missing
V9149numeric7 unique values
0 missing
V9150numeric5 unique values
0 missing
V9151numeric6 unique values
0 missing
V9152numeric5 unique values
0 missing
V9153numeric5 unique values
0 missing
V9154numeric7 unique values
0 missing
V9155numeric4 unique values
0 missing
V9156numeric5 unique values
0 missing
V9157numeric11 unique values
0 missing
V9158numeric6 unique values
0 missing
V9159numeric9 unique values
0 missing
V9160numeric8 unique values
0 missing
V9161numeric6 unique values
0 missing
V9162numeric5 unique values
0 missing
V9163numeric7 unique values
0 missing
V9164numeric6 unique values
0 missing
V9165numeric6 unique values
0 missing
V9166numeric5 unique values
0 missing
V9167numeric7 unique values
0 missing
V9168numeric4 unique values
0 missing
V9169numeric6 unique values
0 missing
V9170numeric4 unique values
0 missing
V9171numeric9 unique values
0 missing
V9172numeric5 unique values
0 missing
V9173numeric4 unique values
0 missing
V9174numeric6 unique values
0 missing
V9175numeric6 unique values
0 missing
V9176numeric5 unique values
0 missing
V9177numeric8 unique values
0 missing
V9178numeric5 unique values
0 missing
V9179numeric5 unique values
0 missing
V9180numeric8 unique values
0 missing
V9181numeric8 unique values
0 missing
V9182numeric7 unique values
0 missing
V9183numeric5 unique values
0 missing
V9184numeric5 unique values
0 missing
V9185numeric6 unique values
0 missing
V9186numeric5 unique values
0 missing
V9187numeric7 unique values
0 missing
V9188numeric5 unique values
0 missing
V9189numeric7 unique values
0 missing
V9190numeric4 unique values
0 missing
V9191numeric5 unique values
0 missing
V9192numeric9 unique values
0 missing
V9193numeric9 unique values
0 missing
V9194numeric7 unique values
0 missing
V9195numeric11 unique values
0 missing
V9196numeric6 unique values
0 missing
V9197numeric7 unique values
0 missing
V9198numeric8 unique values
0 missing
V9199numeric8 unique values
0 missing
V9200numeric11 unique values
0 missing
V9201numeric5 unique values
0 missing
V9202numeric8 unique values
0 missing
V9203numeric7 unique values
0 missing
V9204numeric7 unique values
0 missing
V9205numeric8 unique values
0 missing
V9206numeric6 unique values
0 missing
V9207numeric6 unique values
0 missing
V9208numeric5 unique values
0 missing
V9209numeric5 unique values
0 missing
V9210numeric8 unique values
0 missing
V9211numeric8 unique values
0 missing
V9212numeric6 unique values
0 missing
V9213numeric5 unique values
0 missing
V9214numeric6 unique values
0 missing
V9215numeric6 unique values
0 missing
V9216numeric7 unique values
0 missing
V9217numeric5 unique values
0 missing
V9218numeric5 unique values
0 missing
V9219numeric8 unique values
0 missing
V9220numeric6 unique values
0 missing
V9221numeric6 unique values
0 missing
V9222numeric7 unique values
0 missing
V9223numeric6 unique values
0 missing
V9224numeric9 unique values
0 missing
V9225numeric5 unique values
0 missing
V9226numeric4 unique values
0 missing
V9227numeric7 unique values
0 missing
V9228numeric7 unique values
0 missing
V9229numeric6 unique values
0 missing
V9230numeric5 unique values
0 missing
V9231numeric6 unique values
0 missing
V9232numeric8 unique values
0 missing
V9233numeric6 unique values
0 missing
V9234numeric4 unique values
0 missing
V9235numeric5 unique values
0 missing
V9236numeric6 unique values
0 missing
V9237numeric8 unique values
0 missing
V9238numeric4 unique values
0 missing
V9239numeric10 unique values
0 missing
V9240numeric7 unique values
0 missing
V9241numeric5 unique values
0 missing
V9242numeric5 unique values
0 missing
V9812numeric8 unique values
0 missing
V9623numeric5 unique values
0 missing
V9624numeric5 unique values
0 missing
V9625numeric5 unique values
0 missing
V9626numeric5 unique values
0 missing
V9627numeric5 unique values
0 missing
V9628numeric10 unique values
0 missing
V9629numeric7 unique values
0 missing
V9630numeric7 unique values
0 missing
V9631numeric9 unique values
0 missing
V9632numeric5 unique values
0 missing
V9633numeric7 unique values
0 missing
V9634numeric8 unique values
0 missing
V9635numeric6 unique values
0 missing
V9636numeric5 unique values
0 missing
V9637numeric6 unique values
0 missing
V9638numeric5 unique values
0 missing
V9639numeric5 unique values
0 missing
V9640numeric4 unique values
0 missing
V9641numeric8 unique values
0 missing
V9642numeric5 unique values
0 missing
V9643numeric4 unique values
0 missing
V9644numeric6 unique values
0 missing
V9645numeric8 unique values
0 missing
V9646numeric8 unique values
0 missing
V9647numeric4 unique values
0 missing
V9648numeric6 unique values
0 missing
V9649numeric9 unique values
0 missing
V9650numeric6 unique values
0 missing
V9651numeric7 unique values
0 missing
V9652numeric8 unique values
0 missing
V9653numeric7 unique values
0 missing
V9654numeric7 unique values
0 missing
V9655numeric10 unique values
0 missing
V9656numeric6 unique values
0 missing
V9657numeric5 unique values
0 missing
V9658numeric5 unique values
0 missing
V9659numeric8 unique values
0 missing
V9660numeric4 unique values
0 missing
V9661numeric6 unique values
0 missing
V9662numeric5 unique values
0 missing
V9663numeric5 unique values
0 missing
V9664numeric5 unique values
0 missing
V9665numeric4 unique values
0 missing
V9666numeric5 unique values
0 missing
V9667numeric10 unique values
0 missing
V9668numeric4 unique values
0 missing
V9669numeric7 unique values
0 missing
V9670numeric4 unique values
0 missing
V9671numeric4 unique values
0 missing
V9672numeric4 unique values
0 missing
V9673numeric4 unique values
0 missing
V9674numeric6 unique values
0 missing
V9675numeric7 unique values
0 missing
V9676numeric6 unique values
0 missing
V9677numeric5 unique values
0 missing
V9678numeric7 unique values
0 missing
V9679numeric7 unique values
0 missing
V9680numeric7 unique values
0 missing
V9681numeric4 unique values
0 missing
V9682numeric8 unique values
0 missing
V9683numeric4 unique values
0 missing
V9684numeric4 unique values
0 missing
V9685numeric5 unique values
0 missing
V9686numeric5 unique values
0 missing
V9687numeric6 unique values
0 missing
V9688numeric6 unique values
0 missing
V9689numeric6 unique values
0 missing
V9690numeric5 unique values
0 missing
V9691numeric8 unique values
0 missing
V9692numeric6 unique values
0 missing
V9693numeric5 unique values
0 missing
V9694numeric4 unique values
0 missing
V9695numeric6 unique values
0 missing
V9696numeric5 unique values
0 missing
V9697numeric8 unique values
0 missing
V9698numeric9 unique values
0 missing
V9699numeric6 unique values
0 missing
V9700numeric10 unique values
0 missing
V9701numeric6 unique values
0 missing
V9702numeric4 unique values
0 missing
V9703numeric7 unique values
0 missing
V9704numeric4 unique values
0 missing
V9705numeric5 unique values
0 missing
V9706numeric5 unique values
0 missing
V9707numeric5 unique values
0 missing
V9708numeric5 unique values
0 missing
V9709numeric6 unique values
0 missing
V9710numeric6 unique values
0 missing
V9711numeric8 unique values
0 missing
V9712numeric4 unique values
0 missing
V9713numeric11 unique values
0 missing
V9714numeric8 unique values
0 missing
V9715numeric4 unique values
0 missing
V9716numeric4 unique values
0 missing
V9717numeric6 unique values
0 missing
V9718numeric8 unique values
0 missing
V9719numeric6 unique values
0 missing
V9720numeric6 unique values
0 missing
V9721numeric7 unique values
0 missing
V9722numeric7 unique values
0 missing
V9723numeric5 unique values
0 missing
V9724numeric4 unique values
0 missing
V9725numeric10 unique values
0 missing
V9726numeric5 unique values
0 missing
V9727numeric7 unique values
0 missing
V9728numeric5 unique values
0 missing
V9729numeric6 unique values
0 missing
V9730numeric7 unique values
0 missing
V9731numeric6 unique values
0 missing
V9732numeric8 unique values
0 missing
V9733numeric8 unique values
0 missing
V9734numeric5 unique values
0 missing
V9735numeric4 unique values
0 missing
V9736numeric4 unique values
0 missing
V9737numeric6 unique values
0 missing
V9738numeric6 unique values
0 missing
V9739numeric7 unique values
0 missing
V9740numeric5 unique values
0 missing
V9741numeric9 unique values
0 missing
V9742numeric7 unique values
0 missing
V9743numeric5 unique values
0 missing
V9744numeric5 unique values
0 missing
V9745numeric4 unique values
0 missing
V9746numeric9 unique values
0 missing
V9747numeric5 unique values
0 missing
V9748numeric6 unique values
0 missing
V9749numeric8 unique values
0 missing
V9750numeric4 unique values
0 missing
V9751numeric8 unique values
0 missing
V9752numeric6 unique values
0 missing
V9753numeric4 unique values
0 missing
V9754numeric5 unique values
0 missing
V9755numeric9 unique values
0 missing
V9756numeric4 unique values
0 missing
V9757numeric6 unique values
0 missing
V9758numeric6 unique values
0 missing
V9759numeric5 unique values
0 missing
V9760numeric4 unique values
0 missing
V9761numeric4 unique values
0 missing
V9762numeric7 unique values
0 missing
V9763numeric6 unique values
0 missing
V9764numeric5 unique values
0 missing
V9765numeric8 unique values
0 missing
V9766numeric8 unique values
0 missing
V9767numeric10 unique values
0 missing
V9768numeric5 unique values
0 missing
V9769numeric6 unique values
0 missing
V9770numeric5 unique values
0 missing
V9771numeric8 unique values
0 missing
V9772numeric4 unique values
0 missing
V9773numeric7 unique values
0 missing
V9774numeric7 unique values
0 missing
V9775numeric5 unique values
0 missing
V9776numeric7 unique values
0 missing
V9777numeric7 unique values
0 missing
V9778numeric5 unique values
0 missing
V9779numeric5 unique values
0 missing
V9780numeric6 unique values
0 missing
V9781numeric6 unique values
0 missing
V9782numeric5 unique values
0 missing
V9783numeric7 unique values
0 missing
V9784numeric4 unique values
0 missing
V9785numeric6 unique values
0 missing
V9786numeric5 unique values
0 missing
V9787numeric9 unique values
0 missing
V9788numeric5 unique values
0 missing
V9789numeric4 unique values
0 missing
V9790numeric4 unique values
0 missing
V9791numeric4 unique values
0 missing
V9792numeric6 unique values
0 missing
V9793numeric5 unique values
0 missing
V9794numeric6 unique values
0 missing
V9795numeric5 unique values
0 missing
V9796numeric8 unique values
0 missing
V9797numeric5 unique values
0 missing
V9798numeric5 unique values
0 missing
V9799numeric7 unique values
0 missing
V9800numeric5 unique values
0 missing
V9801numeric6 unique values
0 missing
V9802numeric6 unique values
0 missing
V9803numeric7 unique values
0 missing
V9804numeric4 unique values
0 missing
V9805numeric5 unique values
0 missing
V9806numeric5 unique values
0 missing
V9807numeric7 unique values
0 missing
V9808numeric5 unique values
0 missing
V9809numeric5 unique values
0 missing
V9810numeric7 unique values
0 missing
V9811numeric6 unique values
0 missing
V9954numeric7 unique values
0 missing
V9907numeric5 unique values
0 missing
V9908numeric4 unique values
0 missing
V9909numeric6 unique values
0 missing
V9910numeric5 unique values
0 missing
V9911numeric4 unique values
0 missing
V9912numeric9 unique values
0 missing
V9913numeric6 unique values
0 missing
V9914numeric6 unique values
0 missing
V9915numeric6 unique values
0 missing
V9916numeric10 unique values
0 missing
V9917numeric6 unique values
0 missing
V9918numeric5 unique values
0 missing
V9919numeric6 unique values
0 missing
V9920numeric4 unique values
0 missing
V9921numeric9 unique values
0 missing
V9922numeric5 unique values
0 missing
V9923numeric5 unique values
0 missing
V9924numeric6 unique values
0 missing
V9925numeric8 unique values
0 missing
V9926numeric4 unique values
0 missing
V9927numeric6 unique values
0 missing
V9928numeric5 unique values
0 missing
V9929numeric5 unique values
0 missing
V9930numeric6 unique values
0 missing
V9931numeric4 unique values
0 missing
V9932numeric8 unique values
0 missing
V9933numeric4 unique values
0 missing
V9934numeric7 unique values
0 missing
V9935numeric6 unique values
0 missing
V9936numeric6 unique values
0 missing
V9937numeric6 unique values
0 missing
V9938numeric4 unique values
0 missing
V9939numeric5 unique values
0 missing
V9940numeric7 unique values
0 missing
V9941numeric5 unique values
0 missing
V9942numeric6 unique values
0 missing
V9943numeric7 unique values
0 missing
V9944numeric6 unique values
0 missing
V9945numeric9 unique values
0 missing
V9946numeric5 unique values
0 missing
V9947numeric7 unique values
0 missing
V9948numeric7 unique values
0 missing
V9949numeric5 unique values
0 missing
V9950numeric7 unique values
0 missing
V9951numeric5 unique values
0 missing
V9952numeric5 unique values
0 missing
V9953numeric9 unique values
0 missing
V9986numeric6 unique values
0 missing
V9984numeric8 unique values
0 missing

107 properties

1500
Number of instances (rows) of the dataset.
10001
Number of attributes (columns) of the dataset.
50
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.
10000
Number of numeric attributes.
1
Number of nominal attributes.
0.97
Average class difference between consecutive instances.
0.73
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
0.68
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
0.3
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
0.73
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
0.68
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
0.3
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
0.73
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
0.68
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
0.3
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
5.64
Entropy of the target attribute values.
0.64
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
0.96
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
0.02
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
6.67
Number of attributes divided by the number of instances.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
0.71
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0.6
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0.39
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0.71
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.6
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.39
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.71
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
0.6
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
0.39
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
2
Percentage of instances belonging to the most frequent class.
30
Number of instances belonging to the most frequent class.
Maximum entropy among attributes.
1232.85
Maximum kurtosis among attributes of the numeric type.
249.83
Maximum of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
50
The maximum number of distinct values among attributes of the nominal type.
33.83
Maximum skewness among attributes of the numeric type.
66.01
Maximum standard deviation of attributes of the numeric type.
Average entropy of the attributes.
83.53
Mean kurtosis among attributes of the numeric type.
0.41
Mean of means among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
50
Average number of distinct values among the attributes of the nominal type.
7.26
Mean skewness among attributes of the numeric type.
0.49
Mean standard deviation of attributes of the numeric type.
Minimal entropy among attributes.
-0.7
Minimum kurtosis among attributes of the numeric type.
0.01
Minimum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
50
The minimal number of distinct values among attributes of the nominal type.
-0.48
Minimum skewness among attributes of the numeric type.
0.08
Minimum standard deviation of attributes of the numeric type.
2
Percentage of instances belonging to the least frequent class.
30
Number of instances belonging to the least frequent class.
0.8
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.5
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.49
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
99.99
Percentage of numeric attributes.
0.01
Percentage of nominal attributes.
First quartile of entropy among attributes.
11.33
First quartile of kurtosis among attributes of the numeric type.
0.01
First quartile of means among attributes of the numeric type.
First quartile of mutual information between the nominal attributes and the target attribute.
2.85
First quartile of skewness among attributes of the numeric type.
0.12
First quartile of standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
56.17
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.03
Second quartile (Median) of means among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
7.15
Second quartile (Median) of skewness among attributes of the numeric type.
0.19
Second quartile (Median) of standard deviation of attributes of the numeric type.
Third quartile of entropy among attributes.
115.44
Third quartile of kurtosis among attributes of the numeric type.
0.29
Third quartile of means among attributes of the numeric type.
Third quartile of mutual information between the nominal attributes and the target attribute.
10.61
Third quartile of skewness among attributes of the numeric type.
0.64
Third quartile of standard deviation of attributes of the numeric type.
0.73
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.81
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.17
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.73
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.81
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.17
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.73
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.81
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.17
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.53
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.92
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.06
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.53
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.92
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.06
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.53
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.92
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.06
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0
Standard deviation of the number of distinct values among attributes of the nominal type.
0.56
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.86
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
0.12
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk

217 tasks

144 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Class
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
0 runs - estimation_procedure: 33% Holdout set - target_feature: Class
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - target_feature: Class
0 runs - estimation_procedure: 4-fold Crossvalidation - target_feature: Class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature:
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
1308 runs - target_feature: Class
1307 runs - target_feature: Class
1306 runs - target_feature: Class
1305 runs - target_feature: Class
1305 runs - target_feature: Class
1305 runs - target_feature: Class
1304 runs - target_feature: Class
1303 runs - target_feature: Class
1303 runs - target_feature: Class
1303 runs - target_feature: Class
1303 runs - target_feature: Class
1303 runs - target_feature: Class
1303 runs - target_feature: Class
1303 runs - target_feature: Class
1303 runs - target_feature: Class
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1302 runs - target_feature: Class
1302 runs - target_feature: Class
1302 runs - target_feature: Class
1301 runs - target_feature: Class
1301 runs - target_feature: Class
1300 runs - target_feature: Class
1300 runs - target_feature: Class
1300 runs - target_feature: Class
1300 runs - target_feature: Class
1300 runs - target_feature: Class
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1299 runs - target_feature: Class
1299 runs - target_feature: Class
1299 runs - target_feature: Class
1299 runs - target_feature: Class
1299 runs - target_feature: Class
1299 runs - target_feature: Class
1298 runs - target_feature: Class
1298 runs - target_feature: Class
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1298 runs - target_feature: Class
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1297 runs - target_feature: Class
1297 runs - target_feature: Class
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