# What can help decrease outliers' influence on non-tree models?

I have a feature with all the values between 0 and 1 except few outliers larger than 1. I am trying to collect all the methods that can help to decrease outliers' influence on non-tree models:

• StandardScaler
• Apply rank transform to the features
• Apply np.log1p(x) transform to the data
• MinMaxScaler
• Winsorization

I wasn't able to imagine any other ... I guess that's all?

• There's also removing the instances with outlier values, if that's an option. – Erwan Oct 15 '20 at 0:01
• RandomScaler does outlier treatment with IRQ. – Sayooj Samuel Dec 6 '20 at 19:30