Define accuracy, precision, recall $($sensitivity$)$ as parameters used to

evaluate the performance of a machine learning classification technique. Also provide the mathematical formulation used to compute precision and recall. How are these parameters used to create a confusion matrix?

Given the confusion matrix below calculate the precision and recall for all three classes of cat, fish and hen.$$