How to evaluate my Classification Model results
Published in
8 min readJun 14, 2020
Confusion Matrix, ROC-AUC, F1 Score, Log Loss
Different from the Regression model, when we assess classification model results, we should not only focus on prediction results but also need to consider the prediction probability and prediction ability of each class.
There are plenty of articles online about classification metrics selection and here I will…