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Including Cook's D obtained from GWR leads to an enhancement in the accuracy of XGBoost,

  • 1.  Including Cook's D obtained from GWR leads to an enhancement in the accuracy of XGBoost,

    Posted Sun March 31, 2024 11:54 AM

    Including Cook's D obtained from GWR leads to an enhancement in the accuracy of XGBoost,

    I have the following scenario:

    1.      Initially, I input the 5 features and target variable into XGBoost, resulting in a calculated R2 of 0.8.

    2.      Next, I input the same 5 features and target variable into GWR, where Cook's D is computed for each observation.

    3.      Subsequently, I include the 5 features, target variables, and Cook's D into XGBoost, yielding a calculated R2 of 0.9.

    What contributes to the improvement in XGBoost accuracy when Cook's D is integrated as a feature?

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    jamal numan
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  • 2.  RE: Including Cook's D obtained from GWR leads to an enhancement in the accuracy of XGBoost,
    Best Answer

    IBM Champion
    Posted Sun March 31, 2024 01:25 PM
    Cook's distance,
    "
    • Cook'sA measure of how much the residuals of all cases would change if a particular case were excluded from the calculation of the regression coefficients. A large Cook's D indicates that excluding a case from computation of the regression statistics changes the coefficients substantially."
    • so it isn't surprising that including it as a regressor would have an effect on the results.
    "

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