What does FPR mean?

Answer 1

FPR stands for False Positive Rate, a metric used in statistics and machine learning to measure the proportion of negative instances that are incorrectly classified as positive. It is calculated as the number of false positives divided by the total number of actual negatives. FPR is an important concept in evaluating the performance of binary classification models, as it helps assess the likelihood of false alarms. A lower FPR indicates better model performance in minimizing incorrect positive predictions.