For your cellular business, you want to reduce the customer churn rate. Before embarking on creating strategies for subscriber retention, you ran a classification program on 165 subscriber dataset to classify satisfied and unsatisfied customers. The efficacy of the program was checked against the actual subscriber satisfaction survey results. The confusion matrix output gave the following:

	ACTUAL VALUES
Satisfied	Dissatisfied
PREDICTED VALUES	Dissatisfied	10	50
Satisfied	100	5

a) Using Accuracy, Precision, Recall and F-score, evaluate the model results.

b) Which metric will be important for you to fine tune to make this model useful for your business and why?