Fig. 1From: MiPepid: MicroPeptide identification tool using machine learningParameter Optimization. The avg. F1 and accuracy are shown at the best t for the indicated values of λ. 10-fold cross validation results with different 휆 and 푡 combinations on the training set. λ: the hyperparameter for regularization strength in logistic regression; t: the hyperparameter for threshold in logistic regression; best t: when λ is fixed, the t from t ∈ {0, 0.05, 0.1, …, 0.95, 1.0} that gives the best performance; avg. F1 val: the average F1 score on the 10 validation sets when both λ and t are fixed; avg. accu val: the average accuracy on the 10 validation sets when both λ and t are fixedBack to article page