Soft-margin Clasffier


### Normal version is Hard-margin SVM
크사이
hyperparameter C, control the effect of slack variable
일부 이상치(outlier)나 잘못 분류된 데이터도 고려할 수 있게 되며
result of optimization is that the only difference is
$$0 \leq \alpha \leq C$$


![](https://www.notion.so/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F02761694-f5d2-40bf-968e-98bd517225ee%2FUntitled.png?table=block&id=2a3e1aa7-a2df-45fb-810e-a33142fe470b&cache=v2)







