Your team's AI system reviews all previous online transactions with a customer and from this information predicts the monthly profit to be earned from that customer. The system's predicted monthly profit is an amount between $0 and $81.25. Your company provides perks to the customer based on this predicted monthly profit to be earned. The cost of an error made by the system depend on how bad the error is. The costs of larger errors are greater than the cost of smaller errors. For example, if the system's prediction is $2.00 too high or too low, the cost is much more than twice as much as the cost of a prediction that is $1.00 too high or too low. Of the following, which is the best metric to use for this system? F1 Recall Mean Absolute Error Mean Square Error Precision Accuracy