mjkleiman/stochastiCV

A method of cross-validation based on scikit-learn that splits data into subsampling or k-folds splits (using random or assigned seed values) and then repeats the model multiple times using different seeds. This function enables a more statistical and scientific method of investigating model performance.

PythonBSD-3-Clause