Considering the training set data presented in Annex 1, perform the following tasks:1. Build a decision tree based on the training set data, using the algorithm provided in the lecture, considering all attributes as possible classification attributes, and as attribute selection method use the information gain.2. Apply the naïve Bayesian classification on the training data set in Annex 1, and classify this new data \”Senior person with job, doesn\’t own a house and has good credit rating\” with both the Bayesian classifier as well as the decision tree obtained in a). Annex 1
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