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Home > Data Skeptic > [MINI] Receiver Operating Characteristic (ROC) Curve
Podcast: Data Skeptic
Episode:

[MINI] Receiver Operating Characteristic (ROC) Curve
Category: Religion & Spirituality
Duration: 00:11:10
Publish Date: 2016-07-15 10:00:00
Description:

An ROC curve is a plot that compares the trade off of true positives and false positives of a binary classifier under different thresholds. The area under the curve (AUC) is useful in determining how discriminating a model is. Together, ROC and AUC are very useful diagnostics for understanding the power of one's model and how to tune it.
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