A statistical model quantifies the probability of a defined customer category purchasing a certain class of products sold by a retail store. The probability value to identify customers predicted to make purchase was initially set at 0.5, and later changed to 0.4. This resulted in an increase in "false negative" customers.

Question

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Lowering the threshold from 0.5 to 0.4 means that customers are more easily classified as potential purchasers. This change would likely decrease the number of false negatives (customers incorrectly predicted not to purchase) because more customers are now being predicted to make a purchase.

A Statistical Model Quantifies the Probability of a Defined Customer