What is regularization in machine learning? Regularization in machine learning is a set of techniques used to ensure that a machine learning model can generalize to new data within the same data set.
Normalization can standardize and improve machine learning (ML) performance on omics data. However, it is unclear whether normalization is associated with overfitting (i.e., worse cross-dataset ...
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