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True positive rate (TPR): Difference between revisions
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Similar to a machine learning model, which attempts to identify all positive cases within a dataset. If it succeeds in finding all of them, we can say it did a good job and give it a high true positive rate; on the contrary, if some positive cases are missed, then its accuracy drops off and we attribute a low true positive rate. | Similar to a machine learning model, which attempts to identify all positive cases within a dataset. If it succeeds in finding all of them, we can say it did a good job and give it a high true positive rate; on the contrary, if some positive cases are missed, then its accuracy drops off and we attribute a low true positive rate. | ||
[[Category:Terms]] [[Category:Machine learning terms]] | [[Category:Terms]] [[Category:Machine learning terms]] [[Category:not updated]] | ||