Description Usage Format Source
Summary statistics for the classification data sets
1 |
A data frame with 15 variables:
Number of instances in majority class of target variable
Number of instances in minority class of target variable
Number of classes in target variable
Imbalance metric, where zero means that the dataset is perfectly balanced and the higher the value, the more imbalanced the dataset
Total number of features (equal to number of columns)
Number of binary features
Number of integer features
Number of float features
Number of data observations (equal to number of rows)
Number of instances with missing values (always 0)
Number of missing values (always 0)
Number of numeric features
Number of symbolic features
Dataset name
All datasets are currently categorised as 'active'
https://github.com/EpistasisLab/penn-ml-benchmarks
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