In this episode, I'll talk about tuning the threshold in binary classification tasks. The usual value for the threshold is 0.5, but it's useful to optimize it in order to make the model fit our needs. I talk about optimizing according to the ROC curve and maximizing the balanced accuracy.  

Link to the article: https://www.yourdatateacher.com/2021/06/14/are-you-still-using-0-5-as-a-threshold/