Which metrics for evaluating regression models do you know? What are MSE and RMSE?
These are some of the metrics for evaluating regression models:
- Mean Squared Error(MSE)
- Root Mean Squared Error(RMSE)
- Mean Absolute Error(MAE)
- R² or Coefficient of Determination
- Adjusted R²
What are MSE and RMSE?
MSE stands for Mean Square Error while RMSE stands for Root Mean Square Error. They are metrics with which we can evaluate models.