8.9 Models that are Resistant to Missing Values

Many popular predictive models such as support vector machines, the glmnet, and neural networks, cannot tolerate any amount of missing values. However, certain implementations of tree-based models have clever procedures to accommodate incomplete data (ex. CART, Naive Bayes).