Answer Happy

[CLO1, C2, PLO1] Suppose you build a classifier on a given data set with two classes, namely positive and negative and the classifier outputs the results in the form of confusion matrix as shown in Table 1. Actual Table 1: Confusion Matrix Predictions + + 80 230 70 840 (a) Fill in the following values based on the given questions, [4 marks] (i) True Positive: (ii) True Negative: (iii) False Positive: (iv) False Negative: (b) Calculate the accuracy obtained from the classifier. Show the computation to obtain the accuracy rate. [2 marks] (c) Calculate the precision obtained from the classifier. Show the computation to obtain the precision rate. [2 marks] (d) Calculate the recall obtained from the classifier. Show the computation to obtain the recall rate. [2 marks]