500
Number of instances (rows) of the dataset.
3
Number of attributes (columns) of the dataset.
20
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.
0
Number of nominal attributes.
0.01
Number of attributes divided by the number of instances.
0
Percentage of numeric attributes.
5
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
25
Number of instances belonging to the most frequent class.
5
Percentage of instances belonging to the least frequent class.
25
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.
1
Average class difference between consecutive instances.
0
Percentage of missing values.