Suppose you have a predictive model which has >85% accuracy - but is the model a good model? Just based on an accuracy we can’t judge whether a model is good or not. There are several scores to check the quality of a model. The Area Under the Curve (AUC) Score plays an important role. The AUC score of a model should be at least >0.6. We can also consider Root Mean Squared Error (RMSE) score for[…]
Read More
