Cross-validation is a statistical method used to evaluate machine learning models by partitioning the data into subsets. It helps assess how well a model generalizes to unseen data and prevents ...
This workflow is adapted from the Snakemake pipeline of mikropml developed by the Schloss lab. For more details on these tools, see the Snakemake tutorial and read the mikropml docs. The Snakefile ...
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