Ignoring domain knowledge:
- Failing to incorporate important context or known relationships in the field
Inadequate validation:
- Not properly testing the model on unseen data or using inappropriate evaluation metrics
Data inconsistency:
- Changes in data collection methods or definitions over time
External factors:
- Unpredictable events or changes in the environment not captured in the historical data
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