Evaluating Classification Models with ROC AUC and LOG LOSS

Classification models predicts classes as output either 0 or 1.But,sometimes instead of predicting classes,computing probabilities can provide a deep understanding and insight about the predictions that can be used for evaluating classification model.In this tutorial,you will learn about ROC AUC and Log-Loss(Cross-Entropy) to evaluate classification models. Before going through this… Continue reading