Comments (1)
guillermo-navas-palencia
commented on May 28, 2024
Hi @rmokros,
- The special and missing bins are always included.
- To exclude features with special and/or missing > 50%, you should implement a preprocessing step.
- Correct. Using floats is more conservative in case data might include floats in the future.
The general idea is that the scorecard should be applicable to new datasets (let's consider that it was developed with data collected until 2019, and we want to evaluate it with data from 2020) which might include special, NaNs or might change the data type for a particular variable.
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Related Issues (20)
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