Consider the following set of examples representing dataset for classifying care according set of features into...

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Consider the following set of examples representing dataset for classifying care according set of features into positive or negative cars. Color Red Blue Green Red Green Car Green SUV Blue SUV Blue Car Red SUV Blue Car Green SUV Type SUV Minivan Car Doors 2 4 4 Minivan 4 2 4 2 2 ANNAAN 4 4 2 Red Car Green SUV Green Minivan 4 2 Tires Whitewall Whitewall Whitewall Blackwall Blackwall Blackwall Blackwall Whitewall Blackwall Blackwall Whitewall Blackwall Blackwall Whitewall Draw the decision tree representing these dataset using: a. Misclassification rate b. Entropy and Information gain c. Gini impurity. Class I + + ditt titt f Consider the following set of examples representing dataset for classifying care according set of features into positive or negative cars. Color Red Blue Green Red Green Car Green SUV Blue SUV Blue Car Red SUV Blue Car Green SUV Type SUV Minivan Car Doors 2 4 4 Minivan 4 2 4 2 2 ANNAAN 4 4 2 Red Car Green SUV Green Minivan 4 2 Tires Whitewall Whitewall Whitewall Blackwall Blackwall Blackwall Blackwall Whitewall Blackwall Blackwall Whitewall Blackwall Blackwall Whitewall Draw the decision tree representing these dataset using: a. Misclassification rate b. Entropy and Information gain c. Gini impurity. Class I + + ditt titt f

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a Decision tree representing the given data using Misclassification rate Explanation We must identify the feature that reduces the misclassification rate at each split in order to use the misclassific... View the full answer