Answer:
Explanation:
Precision is defined as the ratio of true positives (TP) to the total predicted positives (TP + FP). In this case, the confusion matrix shows 46 TP and 4 FP, so the precision can be calculated as:
precision = TP / (TP + FP) = 46 / (46 + 4) = 0.92
Rounding to 2 decimal places, the precision ratio is 0.92.