The following confusion matrix for a classification method with Class 0 and Class 1 was found by Data Mining: Confusion Matrix Predicted Class Actual Class 0 1 0 105 53 1 32 110 What are the percent error rates for Class 0 and Class 1? a. 31.65% and 22.54%, respectively b. 33.54% and 22.54%, respectively c. 10.71% and 41.25%, respectively d. 45.37% and 46.67%, respectively

b. 33.54% and 22.54%, respectively

Step-by-step explanation:

Confusion Matrix

                                         Predicted Class

Actual Class            0                          1                                Total    

0                             105                    53                               158

                               True Positive     False Negative

                                  TP                        FN                                          

1                               32                     110                               142

                             False Positive       True Negative

                                 FP                           TN

Total Error Rate = FN +FP/ P +N

Total Error Rate = 53+32/ 105+32+53+110

Total Error Rate = 85/300 = 28.33%

Error Rate for Class 0  = FP/ FP+TP=  32/142 = 22.53%

Error Rate for  Class 1=  FN/ FN+TP=  53/ 158= 33.54%

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step-by-step explanation: