Ejercicio

Precision-recall curve

Another way to evaluate model performance is using a precision-recall curve, which shows the tradeoff between precision and recall for different thresholds.

On the right, a precision-recall curve has been generated. Spend some time studying it and then select the statement below that is not true.

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This curves summarize the tradeoff between the true positive rate and the positive predictive value.

A high area under the curve represents both high recall and high precision.

Recall is synonymous with specificity, and precision is identical with positive predictive value.

Precision-recall curves tend to be more informative when you have imbalanced classes.

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Ejercicio