For this similar problem discussed in class build a

decision tree classifier using ID$3$ algorithm ie$.,$

Information gain and entropy measures. Grow the

complete decision tree.

Can "Object ID$"$ be used as one of key feature to

construct the tree? Justify your answer on the

results of entropy calculated.

Use the test data to construct the confusion

matrix and find the precision, recall, F$-$score.

Compare the training accuracy vs test accuracy

for the model built in part $1)$