Consider the following dataset (table) from an employee database. The data is a summary of the original data table. For example, the first row indicates that 30 employees in the sales department has an age between 31 and 35 inclusive and a salary between 46K and 50K inclusive. The attribute status is the class label. (a) Extend the basic decision tree algorithm to incorporate the ranges and the count, and use the extended algorithm to construct a decision tree using the given data as the training set. Use this decision tree to determine the status of new data t = (b) Construct a naive Bayesian classifier using the same training data and use it to classify the same data t