Robust ML preprocessing

This topic is for users who do not want anomaly detection as the final task, but want to clean or score data before fitting another model.

Robust ML preprocessing

Remove suspicious training rows before fitting a downstream classifier.

How to use this topic

Start with the first card if you want the simplest demonstration. Then move to the more specialized page when the data shape matches your problem. Every page includes captured output, plots, interpretation notes, and a command to reproduce the result.

Detailed pages

• Robust preprocessing before classification