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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 … towardsdatascience.com |
ROC Curve explained using a COVID-19 hypothetical example: Binary & Multi-Class Classification tutorial
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