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active ARFF Publicly available Visibility: public Uploaded 04-10-2014 by Joaquin Vanschoren
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  • binarized study_123 study_41 study_88 study_236
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Author: Source: Unknown - Date unknown Please cite: Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others as negative ('N').

8 features

binaryClass (target)nominal2 unique values
0 missing
PERIODnumeric108 unique values
0 missing
SEEDEDnominal2 unique values
0 missing
TEnumeric94 unique values
0 missing
TWnumeric101 unique values
0 missing
NCnumeric97 unique values
0 missing
SCnumeric89 unique values
0 missing
NWCnumeric101 unique values
0 missing

19 properties

108
Number of instances (rows) of the dataset.
8
Number of attributes (columns) of the dataset.
2
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.
6
Number of numeric attributes.
2
Number of nominal attributes.
25
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.92
Average class difference between consecutive instances.
0
Percentage of missing values.
0.07
Number of attributes divided by the number of instances.
75
Percentage of numeric attributes.
70.37
Percentage of instances belonging to the most frequent class.
25
Percentage of nominal attributes.
76
Number of instances belonging to the most frequent class.
29.63
Percentage of instances belonging to the least frequent class.
32
Number of instances belonging to the least frequent class.
2
Number of binary attributes.

14 tasks

854 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: binaryClass
224 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: binaryClass
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: binaryClass
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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