Also show the formula used to calculate entropy
1. [20 points) Calculate the entropy and information gain for each attribute and build a decision tree to classify the data points Attributes Class (x1,x2,x3) (0, 0, 0) 0 (0, 0, 1) 0 (0, 1, 0) 0 (0, 1, 1) 0 (1,0,0) 0 (1, 0, 1) 1 (1, 1, 0) 0 (1, 1, 1) 1
1. [20 points) Calculate the entropy and information gain for each attribute and build a decision tree to classify the d
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1. [20 points) Calculate the entropy and information gain for each attribute and build a decision tree to classify the d
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