Algorithm Definitions

Match each algorithm to the correct definition.

is a probabilistic model based on Bayes theorem; it gives us classifications based on probabilities

is a cascading set of questions, used to incrementally separate classes and improve predictive power

aims to create the largest possible line or margin between observations, to cleanly separate the target classes

assigns output classes based on a specified number of nearby datapoints

combines the results of several decision trees in order to improve accuracy

E Na$$ve Bayes