Regression metrics Regression models have continuous output. So, we need a metric based on calculating some sort of distance between predicted and ground truth. In order to evaluate Regression models, we’ll discuss these metrics in detail: Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), R² (R-Squared). Mean Squared Error (MSE) Mean squared error … Continue reading Machine Learning (Model) Performance Metrics