Can Autoprognosis handle collinearity?

[williamty]

Collinearity is a common problem in medical analysis. For example, age group is classified data, and age is numerical data. If the data is not collinearly processed, it will produce a very high prediction accuracy, but it is meaningless. How will Autoprognosis handle that?

[DrShushen]

AutoPrognosis handles multi-collinearity here:
https://github.com/vanderschaarlab/autoprognosis/blob/2b71de4cddb1fc63ed48c1df244e4afcdce802ce/src/autoprognosis/plugins/preprocessors/dimensionality_reduction/plugin_data_cleanup.py