recall and confusion matrix
Idiot's Guide to Precision, Recall and Confusion Matrix
Building Machine Learning models is fun, making sure we build the best ones is what makes a difference! RMSE is a good measure to evaluate how a machine learning model is performing. If RMSE is significantly higher in test set than training-set -- There is a good chance model is overfitting. You must be wondering'Can't we just use accuracy of the model as the holy grail metric?' Accuracy is very important, but it might not be the best metric all the time. Let's look at why with an example -: Let's have a dummy model which always predicts that a loan will not default.