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What is Optimal Data Splitting with SPlit about?

The document proposes an optimal method called SPlit for splitting a dataset into training and testing sets. SPlit is based on support points, which was initially developed for finding optimal representative points of a continuous distribution. The article adapts support points for subsampling datasets and extends it to deal with categorical variables so that SPlit can be used for both regression and classification problems.

Author

Harias Subyantaraw

Language

EN