09/27/2023

 

It’s very much important to test and estimate any error in model is present or not.

 

In simple words it is used to measure between actual values and predicted values. As previously we have covered the basics of testing like f1-score, MSE, RMSE, precision and accuracy.

 

We need to prevent or need to be removed errors while performing any operation. The root cause of prediction error is due to overfitting. So, we can reduce the overfitting by following methods like performing Regularization, ensembling and data augmentation