Dec 24, 2019 in Data Science
Q: Explain how a ROC curve works?

1 Answer

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Dec 24, 2019
The ROC curve is a graphical representation of the contrast between true positive rates and false-positive rates at various thresholds. It is often used as a proxy for the trade-off between the sensitivity(true positive rate) and false-positive rate.

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