How to Select the BEST Threshold for Your Model Using the ROC Curve

In this video I explain how we can select the best threshold by looking at the receiver operating characteristic (ROC) curve, and how we can vary the true positive rate (TPR) and the false positive rate (FPR) to adapt our model's prediction to the business problem we are trying to solve.

Notes
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At 4:27 I say twice "the model model begins". This is due to an editing error from my side. Sorry about that.

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Contents
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00:00 - Intro
00:46 - Business problem influence the threshold
02:08 - ROC curve intro
02:46 - TPR and FPR definitions
03:23 - The three phases of the ROC Curve
05:35 - AUC and model selection using the ROC Curve
06:54 - Outro

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