27 Matching Annotations
  1. Mar 2025
    1. 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!!!

    2. Model Summary

      Nice summary!

    3. 0.632911

      wow, very precise!

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  2. Feb 2025
    1. Model Evaluation Report

      nice model!

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  3. Jan 2025
    1. 'holdout': {2022: 1.157441315564947, 2021: 1.0470003531787528, 2023: 1.2422923359850306}}

      Large deviation from 1

    2. p_v_vehicle_age -1

      This is oppositely constrained to p_v_vehicle_age_at_purchase

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  4. Dec 2024
  5. Sep 2024
  6. Jul 2024
  7. Local file Local file
    1. 1 A Header

      This header needs to be more specific! I can see it's a header

    2. $$T_{est}$$

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  8. Local file Local file
    1. 1 A Header

      This header needs to be more specific! I can see it's a header

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  9. Local file Local file
    1. 1 A Header

      This header needs to be more specific! I can see it's a header

    2. $$T_{est}$$

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  10. Local file Local file
    1. $$T_{est}$$

    2. A Header

      This header needs to be more specific! I can see it's a header

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