Question: The following table summarizes a data set with three attributes A, B, C and two class labels +, - Build a two-level decision tree. According

The following table summarizes a data set with three attributes A,

The following table summarizes a data set with three attributes A, B, C and two class labels +, - Build a two-level decision tree. According to the classification error rate, which attribute would be chosen as the first splitting attribute? For each attribute, show the contingency table and the gains in classification error rate. Repeat for the two children of the root node. How many instances are misclassified by the resulting decision tree

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To solve this problem we will follow these steps 1 Classification Error Rate and Contingency Table for Each Attribute We need to calculate the classification error rate for each attribute The classifi... View full answer

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