A data mining algorithm has been applied to a transaction dataset and has classified 88 records as fraudulent (30 correctly so) and 952 as nonfraudulent (920 correctly so). Which of the following situations represents the confusion matrix for the transactions data mentioned? Explain your reasoning.

A Classification Confusion Matrix Classification Confusion Matrix Predicted Class Predicted Class Actual Class Actual Class 920 1 58 32 30 30 32 58 920 Classification Confusion Matrix Classification Confusion Matrix Predicted Class Predicted Class Actual Class Actual Class 30 32 920 58 920 58 30 32