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EPISODE · Jul 15, 2016 · 11 MIN
[MINI] Receiver Operating Characteristic (ROC) Curve
from Data Skeptic
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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[MINI] Receiver Operating Characteristic (ROC) Curve
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Frequently Asked Questions
How long is this episode of Data Skeptic?
This episode is 11 minutes long.
When was this Data Skeptic episode published?
This episode was published on July 15, 2016.
What is this episode about?
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...
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