Data
RandomRBF_0_0

RandomRBF_0_0

active ARFF Publicly available Visibility: public Uploaded 10-04-2014 by Jan van Rijn
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11 features

class (target)nominal5 unique values
0 missing
att1numeric658258 unique values
0 missing
att2numeric680666 unique values
0 missing
att3numeric647587 unique values
0 missing
att4numeric676097 unique values
0 missing
att5numeric644592 unique values
0 missing
att6numeric678621 unique values
0 missing
att7numeric685881 unique values
0 missing
att8numeric675734 unique values
0 missing
att9numeric670341 unique values
0 missing
att10numeric663734 unique values
0 missing

19 properties

1000000
Number of instances (rows) of the dataset.
11
Number of attributes (columns) of the dataset.
5
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.
10
Number of numeric attributes.
1
Number of nominal attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
0.23
Average class difference between consecutive instances.
90.91
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
9.09
Percentage of nominal attributes.
30.01
Percentage of instances belonging to the most frequent class.
300096
Number of instances belonging to the most frequent class.
9.27
Percentage of instances belonging to the least frequent class.
92713
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

25 tasks

19 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - target_feature: class
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
279 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
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
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