Question - If we have a high bias error what does it mean? How to treat it?
Answer -
High bias error means that that model we are using is ignoring all the important trends in the model and the model is underfitting.
To reduce underfitting:
- We need to increase the complexity of the model
- Number of features need to be increased
Sometimes it also gives the impression that the data is noisy. Hence noise from data should be removed so that most important signals are found by the model to make effective predictions.