Assume that a classification model is trained to detect fraudulence emails from non$-$fraudulence ones, and we would like to test the classifier's efficacy in making such detections. A test data containing $40$ email instances are provided. The test data labels are given and denoted as gold$-$standard labels. The table below provides the gold standard and predicted labels for each data sample using this classifier $."$O$"$ means non$-$fraudulence emails, and $"1"$ indicates fraudulence emails. Using this table, answer the following questions $.$