Loss Function

Gives the error in the model based on the parameters (weights) and some labeled input data

Topics

• 0-1 Loss
• Hinge Loss
• Surrogate Loss

$L({\beta }_0,{\beta }_1)=\frac{1}{n}\sum _{i=1}^n[y_i-({\beta }_{1}X+{\beta }_0{)}^2]$

• Simple Linear Regression loss function

$L\dots$