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True positive rate (TPR): Difference between revisions
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==Mathematical Definition== | ==Mathematical Definition== | ||
The true positive rate (TPR) is calculated as the number of [[true positive (TP)]] divided by the sum of the sum of the number of true positive (TP) and the number of [[ | The true positive rate (TPR) is calculated as the number of [[true positive (TP)]] divided by the sum of the sum of the number of true positive (TP) and the number of [[false negative (FN)]]. Mathematically, this can be represented as: | ||
TPR = true positives / (true positives + false | TPR = true positives / (true positives + [[false negative]]s) OR true positives / all actual positives | ||
True positives are cases in which the model accurately predicts a positive class, and false negatives occur when it incorrectly predicts a negative class for a positive case. | True positives are cases in which the model accurately predicts a positive class, and false negatives occur when it incorrectly predicts a negative class for a positive case. | ||