ml_drought
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How do we select our input features?
How do we do this in a principled and defensible way.
- From their contribution to predictive accuracy?
- by their SHAP values?
- by our understanding of drought processes (expert opinion?)
- start with simplest most parsimonious model and then add features one by one (forwardwise step selection - MLXtend)