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machine-learningrocaucprecision-recall
user9432913
user9432913

Reputation:

ROC Curve and precision recall curve

What are the underlying assumptions of the ROC curve?

What part of an ROC curve impacts the PR curve more?

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Upvotes: 2

Views: 815

Answers (1)

Danylo Baibak
Danylo Baibak

Reputation: 2326

ROC Curves summarize the trade-off between the True Positive Rate and False Positive Rate using different probability thresholds.

Precision-Recall curves summarize the trade-off between the True Positive Rate and the Positive predictive value using different probability thresholds.

ROC curves are appropriate when the target class is balanced, whereas Precision-Recall curves are suitable for imbalanced datasets.

Here is a good article for deeper understanding.

Upvotes: 2

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