<p>The range of hyperparameter values over which optimizations were performed. <i>n</i> represents the number of records in the design matrix, while <i>f</i> represents the number of features in the design matrix. In many cases the samples were drawn over the intervals using a uniform distribution, but other approaches were also used—see the open source machine learning workflow for details.</p>

The range of hyperparameter values over which optimizations were performed. n represents the number of records in the design matrix, while f represents the number of features in the design matrix. In many cases the samples were drawn over the intervals using a uniform distribution, but other approaches were also used—see the open source machine learning workflow for details.