ROC stands for ‘Receiver Operating Characteristic.’ We use ROC curves to represent the trade-off between True and False positive rates, graphically.
In ROC, AUC (Area Under the Curve) gives us an idea about the accuracy of the model.
What is ROC curve and what does it represent
The above graph shows an ROC curve. Greater the Area Under the Curve better the performance of the model.
Next, we would be looking at Machine Learning Interview Questions on Rescaling, Binarizing, and Standardizing.
