1. Please use the basic algorithm (version of ID3) for inducing a decision tree from the given training samples in the weather database table.2. Please extract the classification rules from the generated decision tree in 1.C. For the weather database table given in B, please predict a class label for the weather data by using naïve Bayesian classification approach (20 points).The unknown samples to be classified are:(Outlook = Sunny, Temperature = Mild , Humidity = High , Windy = False)(Outlook = Sunny, Temperature = Hot , Humidity = High , Windy = False)
I need answers for these questions . Data Mining and Knowledge Discovery in Databases D. Classification and Characteristic Rule Derivation (50…
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