Overfitting
[Underfitting](https://texonom.com/underfitting-e56067d23ba8404a8e5165085986c9aa) 


### Predicts training dataset > test, High [Variance](https://texonom.com/variance-08c1eccc7dc84957afbb815ad6b41280) 
large number of parameters can cause overfitting
Models that are bigger or have more **capacity **are more likely to overfit
Overfitting issues are usually observed when the magnitude of parameters is large
If data is general enough, overfitting is okay
### Resolve Overfitting
|Title|
|:-:|
|[Non-parametric algorithm](https://texonom.com/non-parametric-algorithm-bc41f745a14c4837bd54368652da5982)|
|[Regularized parameter](https://texonom.com/regularized-parameter-f3b208cdd37a4002a5d39ef990b8be33)|
![](https://www.notion.so/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F7d045ebf-3253-4b1c-8305-57cb4088e985%2FUntitled.png?table=block&id=d0611322-665c-4cab-9e56-53d84fdf4f2a&cache=v2)






