ROC Curve explained using a COVID-19 hypothetical example: Binary & Multi-Class Classification tutorial

https://towardsdatascience.com/roc-curve-explained-using-a-covid-19-hypothetical-example-binary-multi-class-classification-bab188ea869c

ROC Curve explained using a COVID-19 hypothetical example: Binary & Multi-Class Classification tutorial
1.1. ROC Definition. A receiver operating characteristic curve (ROC) curve is a plot that shows the diagnostic ability of a binary classifier as its discrimination threshold is varied.. Before I dig into the details, we need to understand that this discrimination threshold is not the same across different models but instead it is model-specific. For instance, if we have a Support Vector …
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