Artificial Intelligence

(Explain with proper description)

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Assume a Machine Learning (ML) problem that asks you to predict whether a customer will buy a car or not based on previous data. You are provided with a training set which contains three attributes: Price, Safety and Seats, ten instances of cars, and a decision column of whether someone will buy the car or not. Consider 'five' and 'four' to be two categories of 'Seats' attribute) Now, you will have to construct a Decision Tree model using the ID3 algorithm by training on the given dataset. Price Safety Seats Buy 1 high high five no 2 low low five no 3 low high four no 4 high low five no 5 low high five yes 6 low low four no 7 high high five no 8 low high five yes 9 low low four no 10 low high five yes