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BNG(optdigits)

BNG(optdigits)

active ARFF Publicly available Visibility: public Uploaded 08-04-2014 by Jan van Rijn
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65 features

class (target)nominal10 unique values
0 missing
input1nominal1 unique values
0 missing
input2nominal3 unique values
0 missing
input3nominal3 unique values
0 missing
input4nominal3 unique values
0 missing
input5nominal3 unique values
0 missing
input6nominal3 unique values
0 missing
input7nominal3 unique values
0 missing
input8nominal3 unique values
0 missing
input9nominal3 unique values
0 missing
input10nominal3 unique values
0 missing
input11nominal3 unique values
0 missing
input12nominal3 unique values
0 missing
input13nominal3 unique values
0 missing
input14nominal3 unique values
0 missing
input15nominal3 unique values
0 missing
input16nominal3 unique values
0 missing
input17nominal3 unique values
0 missing
input18nominal3 unique values
0 missing
input19nominal3 unique values
0 missing
input20nominal3 unique values
0 missing
input21nominal3 unique values
0 missing
input22nominal3 unique values
0 missing
input23nominal3 unique values
0 missing
input24nominal3 unique values
0 missing
input25nominal3 unique values
0 missing
input26nominal3 unique values
0 missing
input27nominal3 unique values
0 missing
input28nominal3 unique values
0 missing
input29nominal3 unique values
0 missing
input30nominal3 unique values
0 missing
input31nominal3 unique values
0 missing
input32nominal3 unique values
0 missing
input33nominal3 unique values
0 missing
input34nominal3 unique values
0 missing
input35nominal3 unique values
0 missing
input36nominal3 unique values
0 missing
input37nominal3 unique values
0 missing
input38nominal3 unique values
0 missing
input39nominal3 unique values
0 missing
input40nominal1 unique values
0 missing
input41nominal3 unique values
0 missing
input42nominal3 unique values
0 missing
input43nominal3 unique values
0 missing
input44nominal3 unique values
0 missing
input45nominal3 unique values
0 missing
input46nominal3 unique values
0 missing
input47nominal3 unique values
0 missing
input48nominal3 unique values
0 missing
input49nominal3 unique values
0 missing
input50nominal3 unique values
0 missing
input51nominal3 unique values
0 missing
input52nominal3 unique values
0 missing
input53nominal3 unique values
0 missing
input54nominal3 unique values
0 missing
input55nominal3 unique values
0 missing
input56nominal3 unique values
0 missing
input57nominal3 unique values
0 missing
input58nominal3 unique values
0 missing
input59nominal3 unique values
0 missing
input60nominal3 unique values
0 missing
input61nominal3 unique values
0 missing
input62nominal3 unique values
0 missing
input63nominal3 unique values
0 missing
input64nominal3 unique values
0 missing

19 properties

1000000
Number of instances (rows) of the dataset.
65
Number of attributes (columns) of the dataset.
10
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.
0
Number of numeric attributes.
65
Number of nominal attributes.
98637
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
0.1
Average class difference between consecutive instances.
0
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
10.17
Percentage of instances belonging to the most frequent class.
100
Percentage of nominal attributes.
101675
Number of instances belonging to the most frequent class.
9.86
Percentage of instances belonging to the least frequent class.

26 tasks

1 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
193 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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