14
Number of instances (rows) of the dataset.
5
Number of attributes (columns) of the dataset.
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.
2
Number of numeric attributes.
3
Number of nominal attributes.
60
Percentage of nominal attributes.
Average class difference between consecutive instances.
40
Percentage of numeric attributes.
0
Percentage of missing values.
0
Percentage of instances having missing values.
40
Percentage of binary attributes.
2
Number of binary attributes.
Number of instances belonging to the least frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the most frequent class.
0.36
Number of attributes divided by the number of instances.