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True positive rate (TPR): Difference between revisions

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==Introduction==
==Introduction==
True Positive Rate (TPR), also referred to as Sensitivity, is a metric used to evaluate the performance of binary classification models. TPR measures how many positive cases are correctly classified as such by the model out of all those classified positively in the dataset. In other words, TPR indicates how many instances were correctly classified as positive out of all those present in the sample.
[[True positive rate (TPR)]], also referred to as Sensitivity, is a metric used to evaluate the performance of binary classification models. TPR measures how many positive cases are correctly classified as such by the model out of all those classified positively in the dataset. In other words, TPR indicates how many instances were correctly classified as positive out of all those present in the sample.


==Mathematical Definition==
==Mathematical Definition==