Nave Bayesian Classifier

Given the following dataset for computer-buying:

Follow the steps in slides to derive the prior probabilities and conditional attribute probabilities, and then predict the class (buy or not buy) for the following customer:

Customer1: Age:

Customer2: Age: >40, income: high, student: no, credit_rating: excellent

\begin{tabular}{|l|l|c|l|c|} \hline age & income & student & credit rating & buys computer \\ \hline40 & medium & no & fair & yes \\ \hline>40 & low & yes & fair & yes \\ \hline>40 & low & yes & excellent & no \\ \hline 3140 & low & yes & excellent & yes \\ \hline40 & medium & yes & fair & yes \\ \hline40 & medium & no & excellent & no \\ \hline \end{tabular}