Latest version: v0.2.1.post1
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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.
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