P_value:An important metric for feature selection since it shows the correlation between target and features(variables)Example Here, I want to address the importance of feature selection:
- It enables the machine learning algorithms to train faster
- It improves the accuracy of a model if the right sublet is chosen
- It reduces overfitting
Bias-variance:link to my other post