Model is being trained with age in age buckets: ``` 'age_11-30': 0.05, 'age_31-50': 0.09, 'age_51-70': 0.02, 'age_nan': 0.0 ``` Model is being fit with age as an int: ``` age: 54 ``` **Need to map incoming age data to fit into age buckets.**
Model is being trained with age in age buckets:
Model is being fit with age as an int:
Need to map incoming age data to fit into age buckets.