Report structure:
Section 1: Introduction
Briefly describe the classification problem and general data preprocessing. Note that some data preprocessing steps maybe specific to a particular algorithm. Report those steps under each algorithm section.
Section 2: Naïve Bayes
Build a naïve Bayes model. Tune the parameters, such as the discretization options, to compare results.
Section 3: K-Nearest Neighbor method
Section 4: Support Vector Machine (SVM)
Section 5: Algorithm performance comparison
Compare the results from the two algorithms. Which one reached higher accuracy? Which one runs faster? Can you explain why?
R Scripting is needed.