Table 2 Values of the grid search for each classifier.
From: Objective assessment of familiarity in music using imagery and EEG-based machine learning
Model | Hyperparameters | Values tested |
|---|---|---|
Logistic regression | Regularization strength α, penalty type | α ∈ {0.01, 0.1, 1, 10, 100}; penalty ∈ {L1, L2} |
SVM | C (regularization), kernel | C ∈ {0.01, 0.1, 1, 10, 100}; kernel ∈ {linear, RBF} |
Random Forest | Number of trees | n_estimators ∈ {3, 5, 10, 50, 100} |
