Feature Selection for Survival Analysis using Boruta
Project description
Feature Selection for Survival Analysis with Boruta
This is a simple Python library for performing feature selection using Boruta in the context of survival analysis (time-to-event analysis).
📌 Features
- Applies the Boruta algorithm for feature selection in survival models.
- Designed for datasets with time-to-event outcomes.
- Easy to use and integrate into machine learning workflows.
📂 Usage
An example of how to use this library is provided in example.ipynb.
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