4.Consider the following classification results for 700 training values. Find the accuracy and misclassification rates for the model and classes .

Classified as		A	B	C
True Class	A	410	40	20
	B	60	??	30
	C	20	20	50

5.Consider the following results for classifying cases as A or B:

-There are 200 cases ,120 of which are known to be A. -After tests a decision tree gives classification of the data as follows::

• 90 A classified as A
• 60 B Classified as B

Form the confusion matrix and compute misclassification ratios for A and B.