topic Preprocessing ahead of Predictor Screening analysis in Discussions

Preprocessing ahead of Predictor Screening analysis

kjwx109 — Mon, 05 Jun 2023 20:48:24 GMT

Hello,

I have some characterisation data that I would like to subject to predictor screening. The variables are on different scales. Is any preprocessing like standardisation required prior to the predictor screening?

Re: Preprocessing ahead of Predictor Screening analysis

Byron_JMP — Mon, 05 Jun 2023 21:26:26 GMT

Tree methods, like predictor screening, partition, bootstrap forest, and boosted trees (and XGBoost) don't need pre processing. They work well on dirty data too (missing, outliers, strong X correlation with Y...

Re: Preprocessing ahead of Predictor Screening analysis

Victor_G — Tue, 06 Jun 2023 07:01:30 GMT

Hi @kjwx109,

As @Byron_JMP mentioned, the Predictor Screening platform is based on a Random Forest, which is a tree-based method robust to outliers, collinearity between variables, scales of the variables...
You can find more infos here : Predictor Screening

If you need further infos or if you have more questions, don't hesitate :)