bipinkc19 / explaining-black-boxes

Explaining complex ML models

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Explaining black boxes

Using SHAP (SHapely Additive exPlanation)

Random Forest

  • Overall weight
    Overall

Shap values of all the records representing which variable play what kind of role in predicting the output. Eg: Sex when High (Male) playe a negative role in survival but female have very high chances of survival spread across other factors too

Overall
Overall
Overall
Overall

  • Per prediction
    Overall

Using eli5 (Explain like I'm 5)

Logistic Regression

  • Overall weight
    Overall
  • Per prediction
    Overall

Random Forest

  • Overall weight
    Overall
  • Per prediction
    Overall

Lime

  • Per prediction as it is local
    Overall

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Explaining complex ML models


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