Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.
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Remove rounding from metrics added to reports. #190
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christophermadsen closed 1 year ago
When reporting training and validation metrics, we round to 3 decimals, but this unnecessarily removes experiment granularity that some users might need. https://github.com/ing-bank/probatus/blob/f409c8e3442f096e91283b30b26ee1fda73d8b65/probatus/feature_elimination/feature_elimination.py#L573-L582
I propose that we refrain from using any unnecessary rounding and remove it from the lines above.