Generalized Additive Models (GAMs) - GitHub Pages
•Model selection with AIC or BIC •Simple models vs. complex models: curse of dimensionality •Predictor selection: backward or forward •Cross validation: 4 or 5-folds (training data) •Regularization: penalize sources of over-fitting •Reduce feature space using tools like PCA •Use bagging (bootstrap aggregation)
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