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amazon-commerce-reviews

amazon-commerce-reviews

active ARFF Publicly available Visibility: public Uploaded 21-05-2015 by Rafael G. Mantovani
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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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V3600numeric4 unique values
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V3856numeric3 unique values
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V4368numeric3 unique values
0 missing
V4624numeric2 unique values
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V4880numeric2 unique values
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V5392numeric2 unique values
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V6673numeric18 unique values
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0 missing
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0 missing
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0 missing
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0 missing
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0 missing
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0 missing
V9233numeric6 unique values
0 missing
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0 missing
V9745numeric4 unique values
0 missing
Classnominal50 unique values
0 missing
V18numeric12 unique values
0 missing
V274numeric5 unique values
0 missing
V530numeric3 unique values
0 missing
V786numeric4 unique values
0 missing
V1042numeric6 unique values
0 missing
V1298numeric4 unique values
0 missing
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0 missing
V4626numeric2 unique values
0 missing
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0 missing
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0 missing
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0 missing
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0 missing
V6930numeric14 unique values
0 missing
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0 missing
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0 missing
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0 missing
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0 missing
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0 missing
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0 missing
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0 missing
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0 missing
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0 missing
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0 missing
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0 missing
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V5907numeric2 unique values
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V6675numeric20 unique values
0 missing
V6931numeric12 unique values
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0 missing
V7443numeric6 unique values
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V7699numeric5 unique values
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V8211numeric6 unique values
0 missing
V8467numeric7 unique values
0 missing
V8723numeric6 unique values
0 missing
V8979numeric11 unique values
0 missing
V9235numeric5 unique values
0 missing
V9491numeric4 unique values
0 missing
V9747numeric5 unique values
0 missing
V20numeric9 unique values
0 missing
V276numeric4 unique values
0 missing
V532numeric3 unique values
0 missing
V788numeric3 unique values
0 missing
V1044numeric3 unique values
0 missing
V1300numeric3 unique values
0 missing
V1556numeric3 unique values
0 missing
V1812numeric3 unique values
0 missing
V2068numeric5 unique values
0 missing
V2324numeric2 unique values
0 missing
V2580numeric2 unique values
0 missing
V2836numeric2 unique values
0 missing
V3092numeric2 unique values
0 missing
V3348numeric2 unique values
0 missing
V3604numeric5 unique values
0 missing
V3860numeric3 unique values
0 missing
V4116numeric4 unique values
0 missing
V4372numeric2 unique values
0 missing
V4628numeric3 unique values
0 missing
V4884numeric2 unique values
0 missing
V5140numeric3 unique values
0 missing
V5396numeric2 unique values
0 missing
V5652numeric2 unique values
0 missing
V5908numeric2 unique values
0 missing
V6164numeric3 unique values
0 missing
V6420numeric2 unique values
0 missing
V6676numeric25 unique values
0 missing
V6932numeric10 unique values
0 missing
V7188numeric8 unique values
0 missing
V7444numeric9 unique values
0 missing
V7700numeric11 unique values
0 missing
V7956numeric8 unique values
0 missing
V8212numeric8 unique values
0 missing
V8468numeric7 unique values
0 missing
V8724numeric7 unique values
0 missing
V8980numeric7 unique values
0 missing
V9236numeric6 unique values
0 missing
V9492numeric6 unique values
0 missing
V9748numeric6 unique values
0 missing
V21numeric6 unique values
0 missing
V277numeric3 unique values
0 missing
V533numeric4 unique values
0 missing
V789numeric4 unique values
0 missing
V1045numeric4 unique values
0 missing
V1301numeric5 unique values
0 missing
V1557numeric4 unique values
0 missing
V1813numeric5 unique values
0 missing
V2069numeric3 unique values
0 missing
V2325numeric3 unique values
0 missing
V2581numeric3 unique values
0 missing
V2837numeric2 unique values
0 missing
V3093numeric3 unique values
0 missing
V3349numeric3 unique values
0 missing
V3605numeric4 unique values
0 missing
V3861numeric3 unique values
0 missing
V4117numeric3 unique values
0 missing
V4373numeric2 unique values
0 missing
V4629numeric3 unique values
0 missing
V4885numeric3 unique values
0 missing
V5141numeric2 unique values
0 missing
V5397numeric2 unique values
0 missing
V5653numeric3 unique values
0 missing
V5909numeric2 unique values
0 missing
V6165numeric3 unique values
0 missing
V6421numeric2 unique values
0 missing
V6677numeric16 unique values
0 missing
V6933numeric15 unique values
0 missing
V7189numeric13 unique values
0 missing
V7445numeric8 unique values
0 missing
V7701numeric8 unique values
0 missing
V7957numeric8 unique values
0 missing
V8213numeric5 unique values
0 missing
V8469numeric8 unique values
0 missing
V8725numeric7 unique values
0 missing
V8981numeric4 unique values
0 missing
V9237numeric8 unique values
0 missing
V9493numeric8 unique values
0 missing
V9749numeric8 unique values
0 missing
V22numeric11 unique values
0 missing
V278numeric5 unique values
0 missing
V534numeric8 unique values
0 missing
V790numeric3 unique values
0 missing
V1046numeric3 unique values
0 missing
V1302numeric5 unique values
0 missing
V1558numeric4 unique values
0 missing
V1814numeric3 unique values
0 missing
V2070numeric5 unique values
0 missing
V2326numeric3 unique values
0 missing
V2582numeric3 unique values
0 missing
V2838numeric3 unique values
0 missing
V3094numeric2 unique values
0 missing
V3350numeric3 unique values
0 missing
V3606numeric5 unique values
0 missing
V3862numeric3 unique values
0 missing
V4118numeric3 unique values
0 missing
V4374numeric3 unique values
0 missing
V4630numeric2 unique values
0 missing
V4886numeric3 unique values
0 missing
V5142numeric3 unique values
0 missing
V5398numeric2 unique values
0 missing
V5654numeric2 unique values
0 missing
V5910numeric2 unique values
0 missing
V6166numeric2 unique values
0 missing
V6422numeric2 unique values
0 missing
V6678numeric17 unique values
0 missing
V6934numeric13 unique values
0 missing
V7190numeric7 unique values
0 missing
V7446numeric9 unique values
0 missing
V7702numeric6 unique values
0 missing
V7958numeric10 unique values
0 missing
V8214numeric5 unique values
0 missing
V8470numeric8 unique values
0 missing
V8726numeric6 unique values
0 missing
V8982numeric5 unique values
0 missing
V9238numeric4 unique values
0 missing
V9494numeric4 unique values
0 missing
V9750numeric4 unique values
0 missing
V23numeric10 unique values
0 missing
V279numeric5 unique values
0 missing
V535numeric5 unique values
0 missing
V791numeric3 unique values
0 missing
V1047numeric3 unique values
0 missing
V1303numeric4 unique values
0 missing
V1559numeric4 unique values
0 missing
V1815numeric3 unique values
0 missing
V2071numeric3 unique values
0 missing
V2327numeric3 unique values
0 missing
V2583numeric3 unique values
0 missing
V2839numeric4 unique values
0 missing
V3095numeric3 unique values
0 missing
V3351numeric3 unique values
0 missing
V3607numeric4 unique values
0 missing
V3863numeric3 unique values
0 missing
V4119numeric3 unique values
0 missing
V4375numeric2 unique values
0 missing
V4631numeric3 unique values
0 missing
V4887numeric3 unique values
0 missing
V5143numeric2 unique values
0 missing
V5399numeric2 unique values
0 missing
V5655numeric2 unique values
0 missing
V5911numeric2 unique values
0 missing
V6167numeric3 unique values
0 missing
V6423numeric2 unique values
0 missing
V6679numeric19 unique values
0 missing
V6935numeric16 unique values
0 missing
V7191numeric8 unique values
0 missing
V7447numeric7 unique values
0 missing
V7703numeric9 unique values
0 missing
V7959numeric6 unique values
0 missing
V8215numeric5 unique values
0 missing
V8471numeric8 unique values
0 missing
V8727numeric8 unique values
0 missing
V8983numeric5 unique values
0 missing
V9239numeric10 unique values
0 missing
V9495numeric5 unique values
0 missing
V9751numeric8 unique values
0 missing
V24numeric8 unique values
0 missing
V280numeric3 unique values
0 missing
V536numeric5 unique values
0 missing
V792numeric5 unique values
0 missing
V1048numeric3 unique values
0 missing
V1304numeric3 unique values
0 missing
V1560numeric4 unique values
0 missing
V1816numeric2 unique values
0 missing
V2072numeric3 unique values
0 missing
V2328numeric3 unique values
0 missing
V2584numeric3 unique values
0 missing
V2840numeric3 unique values
0 missing
V3096numeric3 unique values
0 missing
V3352numeric3 unique values
0 missing
V3608numeric5 unique values
0 missing
V3864numeric3 unique values
0 missing
V4120numeric4 unique values
0 missing
V4376numeric3 unique values
0 missing
V4632numeric3 unique values
0 missing
V4888numeric3 unique values
0 missing
V5144numeric2 unique values
0 missing
V5400numeric2 unique values
0 missing
V5656numeric2 unique values
0 missing
V5912numeric2 unique values
0 missing
V6168numeric3 unique values
0 missing
V6424numeric2 unique values
0 missing
V6680numeric22 unique values
0 missing
V6936numeric11 unique values
0 missing
V7192numeric12 unique values
0 missing
V7448numeric8 unique values
0 missing
V7704numeric13 unique values
0 missing
V7960numeric11 unique values
0 missing
V8216numeric7 unique values
0 missing
V8472numeric9 unique values
0 missing
V8728numeric6 unique values
0 missing
V8984numeric4 unique values
0 missing
V9240numeric7 unique values
0 missing
V9496numeric5 unique values
0 missing
V9752numeric6 unique values
0 missing
V25numeric7 unique values
0 missing
V281numeric4 unique values
0 missing
V537numeric4 unique values
0 missing
V793numeric3 unique values
0 missing
V1049numeric3 unique values
0 missing
V1305numeric4 unique values
0 missing
V1561numeric2 unique values
0 missing
V1817numeric5 unique values
0 missing
V2073numeric3 unique values
0 missing
V2329numeric3 unique values
0 missing
V2585numeric3 unique values
0 missing
V2841numeric3 unique values
0 missing
V3097numeric2 unique values
0 missing
V3353numeric3 unique values
0 missing
V3609numeric4 unique values
0 missing
V3865numeric4 unique values
0 missing
V4121numeric3 unique values
0 missing
V4377numeric2 unique values
0 missing
V4633numeric2 unique values
0 missing
V4889numeric3 unique values
0 missing
V5145numeric2 unique values
0 missing
V5401numeric3 unique values
0 missing
V5657numeric3 unique values
0 missing
V5913numeric2 unique values
0 missing
V6169numeric2 unique values
0 missing
V6425numeric2 unique values
0 missing
V6681numeric19 unique values
0 missing
V6937numeric12 unique values
0 missing
V7193numeric12 unique values
0 missing
V7449numeric7 unique values
0 missing
V7705numeric10 unique values
0 missing
V7961numeric9 unique values
0 missing
V8217numeric7 unique values
0 missing
V8473numeric6 unique values
0 missing
V8729numeric6 unique values
0 missing
V8985numeric5 unique values
0 missing
V9241numeric5 unique values
0 missing
V9497numeric6 unique values
0 missing
V9753numeric4 unique values
0 missing
V26numeric8 unique values
0 missing
V282numeric5 unique values
0 missing
V538numeric5 unique values
0 missing
V794numeric7 unique values
0 missing
V1050numeric2 unique values
0 missing
V1306numeric3 unique values
0 missing
V1562numeric4 unique values
0 missing
V1818numeric3 unique values
0 missing

106 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.
0.29
Third quartile of means among attributes of the numeric type.
0.64
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
0.66
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.73
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
33.78
Maximum skewness among attributes of the numeric type.
0.08
Minimum standard deviation of attributes of the numeric type.
99.99
Percentage of numeric attributes.
NaN
Third quartile of mutual information between the nominal attributes and the target attribute.
0.96
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
0.95
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.61
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
66.01
Maximum standard deviation of attributes of the numeric type.
30
Number of instances belonging to the least frequent class.
0.01
Percentage of nominal attributes.
10.6
Third quartile of skewness among attributes of the numeric type.
0.02
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
0.03
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.38
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
-1
Average entropy of the attributes.
0.8
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaN
First quartile of entropy among attributes.
0.64
Third quartile of standard deviation of attributes of the numeric type.
0.88
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
0.65
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.73
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
83.19
Mean kurtosis among attributes of the numeric type.
0.5
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
11.28
First quartile of kurtosis among attributes of the numeric type.
0.66
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.67
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
0.95
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.61
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.41
Mean of means among attributes of the numeric type.
0.49
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.01
First quartile of means among attributes of the numeric type.
0.96
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.32
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
0.03
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.38
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
NaN
Average mutual information between the nominal attributes and the target attribute.
0
Number of binary attributes.
NaN
First quartile of mutual information between the nominal attributes and the target attribute.
0.02
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.68
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
-1
Standard deviation of the number of distinct values among attributes of the nominal type.
0.72
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
NaN
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
2.84
First quartile of skewness among attributes of the numeric type.
0.74
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.7
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
0.56
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.6
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
-1
Average number of distinct values among the attributes of the nominal type.
0.12
First quartile of standard deviation of attributes of the numeric type.
0.94
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.28
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
0.86
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
0.39
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
7.25
Mean skewness among attributes of the numeric type.
NaN
Second quartile (Median) of entropy among attributes.
0.04
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
5.64
Entropy of the target attribute values.
0.12
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
2
Percentage of instances belonging to the most frequent class.
0.49
Mean standard deviation of attributes of the numeric type.
55.94
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.78
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.64
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
30
Number of instances belonging to the most frequent class.
NaN
Minimal entropy among attributes.
0.03
Second quartile (Median) of means among attributes of the numeric type.
0.89
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.96
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
NaN
Maximum entropy among attributes.
-0.71
Minimum kurtosis among attributes of the numeric type.
NaN
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.09
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.02
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
1227.92
Maximum kurtosis among attributes of the numeric type.
0.01
Minimum of means among attributes of the numeric type.
7.14
Second quartile (Median) of skewness among attributes of the numeric type.
0.63
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.02
The predictive accuracy obtained by always predicting the majority class.
249.83
Maximum of means among attributes of the numeric type.
NaN
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of binary attributes.
0.19
Second quartile (Median) of standard deviation of attributes of the numeric type.
0.97
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
6.67
Number of attributes divided by the number of instances.
NaN
Maximum mutual information between the nominal attributes and the target attribute.
-1
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of instances having missing values.
NaN
Third quartile of entropy among attributes.
114.97
Third quartile of kurtosis among attributes of the numeric type.
0.01
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
NaN
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
-1
The maximum number of distinct values among attributes of the nominal type.
-0.48
Minimum skewness among attributes of the numeric type.
0
Percentage of missing values.

204 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Class
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
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
1302 runs - target_feature: Class
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
1300 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
1299 runs - target_feature: Class
1298 runs - target_feature: Class
1298 runs - target_feature: Class
1298 runs - target_feature: Class
1298 runs - target_feature: Class
1298 runs - target_feature: Class
1298 runs - target_feature: Class
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