Validation, Overfitting, Underfitting, Overfitting Underfitting, Machine Learning.
preventing over-fitting. Loss Function (L1) = MSE + λ ∑|β| Loss Function (L2) = MSE + λ ∑(β)² Now in the loss function, we have added a parameter that increases with a higher value of β so we are trying to shrink the coefficients to keep the loss function small. 2. Feature Selection— Many times we