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Table 4 Ranges of the logistic regression hyperparameters optimized through grid-search

From: Evaluating the feasibility of cognitive impairment detection in Alzheimer’s disease screening using a computerized visual dynamic test

Hyperparameter

Range

Best value

penalty

l1, l2

l2

C

\(10^{-7}, 10^{-6}, ..., 10^7\)

\(10^5\)

  1. The right-most column indicates the best value found using cross-validation. C refers to the inverse of the regularization strength. For a detailed description of the parameters, refer to the scikit-learn documentation [51]