Loss Function

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

Topics

• 0-1 Loss
• Hinge Loss
• Surrogate Loss

$\displaystyle L({\beta}{0},{\beta}{1})=\frac{1}{n}\sum_{i = 1}^{n}[y_{i}-({\beta}{1}X+{\beta}{0})^{2}]$

• Simple Linear Regression loss function

$\displaystyle L\ldots$