$8$pts$]$ A machine learning system is used to recognize $($classify$)$ quality defects in the surface finish of a part. Given the following confusion matrix, calculate the MLs recall for the "DEFECT" class and overall accuracy. Work must be shown for credit

Predicted $$

Actual$$ DEFECT NOT

DEFECT Totals:

DEFECT $42081501$

NOT DEFECT $16396396$

Totals: $436461$ Grand: $897$