You are evaluating a binary classifier. There are $50$ positive outcomes in the test data, and $100$ observations. Using a $50\%$ threshold, the classifier predicts $40$ positive outcomes, of which $10$ are incorrect.Increasing the threshold to $60\%$ results in $5$ additional positive predictions, all of which are correct. Which of the following statements about this new model $($compared with the original model that had a $50\%$ threshold$)$ is TRUE?