0.742647
very precise!
0.742647
very precise!
In the case of poorly fit models, it is in fact likely that the features corresponding to high SHAP are precisely your culprits! In general, high feature attribution does not imply high informativeness about the target.
Be wary of RFE!!!
Model Summary
Nice summary!
0.632911
wow, very precise!
Model Evaluation Report
nice model!
'holdout': {2022: 1.157441315564947, 2021: 1.0470003531787528, 2023: 1.2422923359850306}}
Large deviation from 1
p_v_vehicle_age -1
This is oppositely constrained to p_v_vehicle_age_at_purchase
Model Summary
Nice summary!
Model Summary
Nice summary!
Model Summary
Nice summary!
Model Summary
Nice summary!
Model Summary
Nice summary!
Model Summary
Nice summary!
import dalex as dx
A lovely import!
Model Summary
Nice summary!
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