What is ROC and AUC? – Vikrant Jain – Medium

@machinelearnbot 

ROC (Receiver Operating Characteristics) -- It was originated from signal detection theory. Now it is heavily used by Data Miners, Economists and in Machine Learning. It basically shows the trade-off between the true positive rate (TPR) and false positive rate (FPR). So we compare the actual Vs predicted and find the TPR and FPR and plot a graph for all the data points (below). In this case the curve which we get is called ROC.

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