Machine learning tools for running repeated nested cross(-dataset)-validation.
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Generalize
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The ultimate goal of training machine learning models is to generalize to new, unseen data. This package contains tools for measuring model performance across multiple datasets via cross-dataset-validation (aka. leave-one-dataset-out).
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