See the dataset in the below table. It describes the patients' two medical tests $($A and B$)$ results and their corresponding risk of disease development $($H: High and L: Low$)$

a$.$Design your decision tree $($elaborate in detail$)$ and predict the class of a new data point $(4,3).$

b$.$ Develop your Bayes classifier $($elaborate in detail$)$ and predict the class of a new data point $(5,3).$ Note that the parameters need to be specified.

Please show the answer in details rather than explaining. for part a when I used Gini values test A split point is $7$ and for B split point is $4.$not sure how to construct the tree and how to predict $(4,3)$ becase according to split point A it seems like H but according to split point be it seems like L$.$ May be i$\text{'}$m wrong.