Outliers, Outlier Detection, Sklearn Pipeline.
This can become an issue if that outlier is an error of some type, or if we want our model to generalize well and not care for extreme values.To overcome this issue, we can either change the model or metric, or we can make some changes in the data and use the same models [2]. Mean: Since mean is