Randy is an insurance adjuster for a national auto insurance company. Using historical insurance claim data, Randy has built an insurance fraud detection model with the help of a data analyst. Applying the model on the validation data set generated the following confusion matrix. A fraudulent insurance claim is a Class 1 case while a nonfraudulent claim is a Class 0 case.

Actual Class	Predicted Class 1	Predicted Class 0
Class 1	254	10
Class 0	87	649

The confusion matrix was generated based on a 0.50 cut off rate. If the cost of missing a fraudulent insurance claim is much higher than the cost of investigating a potentially fraudulent insurance claim, should the cutoff rate be increase or decreased when classifying claims? Explain your answer.