Part $1$:

Let's suppose you are going to test trained classification model to predict students exam results as Pass or Fail for $20$ students. Following are the actual values and the classification model predicted values. You have to calculate: Accuracy, Precision, Recall, F$1$ measure and also make the confusion matrix.

$\backslash$table$[[,$Actual Classification Value,Predicted Classification Value$],[1,P($Pass$),P$