For a binary classification task (e.g., spam email filter), assume the class of interest is Class 1. Given the classification results shown in the following matrix, calculate the evaluation measures. Answer format: 99.99% (You don't need to type int the percent sign '%') : Confusion matrix: Prediction \ Actual Class 1 Class 2 Class 1 52 12 Class 2 8 28

Incorrect Question 5 0/1 pts For a binary classification task (e.g., spam email filter), assume the class of interest is Class 1. Given the classification results shown in the following matrix, calculate the evaluation measures. Answer format: 99.99% (You don't need to type int the percent sign %): Confusion matrix: Prediction Actual Class 1 Class 2 Class 1 52 12 Class 2 8 28 Accuracy = 64 % Precision 86.67 % Recall = 65 % F-measure = 74.28 % Anchor 1 Incorrect Question 5 0/1 pts For a binary classification task (e.g., spam email filter), assume the class of interest is Class 1. Given the classification results shown in the following matrix, calculate the evaluation measures. Answer format: 99.99% (You don't need to type int the percent sign %): Confusion matrix: Prediction Actual Class 1 Class 2 Class 1 52 12 Class 2 8 28 Accuracy = 64 % Precision 86.67 % Recall = 65 % F-measure = 74.28 % Anchor 1