What is overfitting and underfitting ? Why do they occur? How do you overcome them?

There are three parts to this answer. What is overfitting and underfitting Why do they occur How can you overcome both of them. Overfitting is the result of over training the model while underfitting is the result of keeping the model too simple, both leading to high generalization error. Overtraining leads to a more complex…

How do you eliminate underfitting ?

Make the model simpler Collect more data Collect more features Increase the regularization parameter Answer – (c) Underfitting is the opposite of overfitting and it occurs when model is too simple to learn from the given dataset. This could happen if right features were not selected or extracted, or the regularization was done with higher…