Boruta Feature Selection Explained in Python
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Datasets can contain features that may be completely irrelevant to your problem. These features increase the size of your dataset, add complexity to the artificial intelligence model, and have either, no impact on the output, or worsen the results. Train this new dataset using the Random Forest Clas
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- Datasets can contain features that may be completely irrelevant to your problem. These features increase the size of your dataset, add complexity to the artificial intelligence model, and have either, no impact on the output, or worsen the results.
- Train this new dataset using the Random Forest Classifier.
- Check feature importance for the highest-rated Shadow feature.
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