10
Number of instances (rows) of the dataset.
4
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
2
Number of missing values in the dataset.
2
Number of instances with at least one value missing.
2
Number of numeric attributes.
2
Number of nominal attributes.
0.4
Number of attributes divided by the number of instances.
50
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
50
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
1
Number of binary attributes.
25
Percentage of binary attributes.
20
Percentage of instances having missing values.
Average class difference between consecutive instances.
5
Percentage of missing values.