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…

Overfitting is a result of which of the following causes :

Less amount of data Simple Model like a linear classifier Complex Model like a classifier of high degree polynomial All of the above Answer – (1), (3) Overfitting generally happens if the model tries to fit everything because it is too complex or there is too less amount of data. When your model performs well on…