The Classification Trees algorithm

Multiple Choice

• Estimates how likely a data point is to be a member of one group or the other depending on what group the data points nearest to it are in.
• Predicts the probability that an instance is a member of a certain class by basing the technique on the Bayes' theorem.
• Uses a tree-like structure to illustrate the choices available for each possible decision and its estimated outcome by showing them as separate branches of the tree.
• Utilizes an equation based on ordinary linear regression that can predict the probabilities of the possible categorical outcomes.