Question: 1. (Decision Tree and KNN) (30 points) Consider a training set provided below which contains two boolean features and a continuous feature. Class A B

1. (Decision Tree and KNN) (30 points) Consider a training set provided below which contains two boolean features and a continuous feature. Class A B Tow 1 | F T row 2 TF row 3 TT TOW4F F row 5 TT 115 890 257 509 733 1.1 How much information about the class would be gained by knowing whether or not the value of feature C is less than 4007 12 What is the information gain for feature A and B? 13 Is the above data set preprocessed well for kNN algorithms? 1. (Decision Tree and KNN) (30 points) Consider a training set provided below which contains two boolean features and a continuous feature. Class A B Tow 1 | F T row 2 TF row 3 TT TOW4F F row 5 TT 115 890 257 509 733 1.1 How much information about the class would be gained by knowing whether or not the value of feature C is less than 4007 12 What is the information gain for feature A and B? 13 Is the above data set preprocessed well for kNN algorithms

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