Question - What do you understand about the true-positive rate and false-positive rate?
Answer -
True positive rate: In Machine Learning, true-positive rates, which are also referred to as sensitivity or recall, are used to measure the percentage of actual positives which are correctly identified. Formula: True Positive Rate = True Positives/Positives False positive rate: False positive rate is basically the probability of falsely rejecting the null hypothesis for a particular test. The false-positive rate is calculated as the ratio between the number of negative events wrongly categorized as positive (false positive) upon the total number of actual events. Formula: False-Positive Rate = False-Positives/Negatives.