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RandomRBF_50_1E-4

RandomRBF_50_1E-4

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
att1numeric690627 unique values
0 missing
att2numeric690201 unique values
0 missing
att3numeric689301 unique values
0 missing
att4numeric689097 unique values
0 missing
att5numeric689044 unique values
0 missing
att6numeric689389 unique values
0 missing
att7numeric689540 unique values
0 missing
att8numeric688895 unique values
0 missing
att9numeric690374 unique values
0 missing
att10numeric689478 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.

26 tasks

18 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
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
291 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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