Differentiation Based on Parametric Model Non-parametric Model
Features A finite number of parameters to predict new data Unbounded number of parameters
Algorithm Logistic regression, linear discriminant analysis, perceptron, and Naive Bayes K-nearest neighbors, decision trees like CART and C4.5, and support vector machines
Benefits Simple, fast, and less data
Flexibility, power, and performance