Feature Importance Analysis of the Algorithms expressed by SHAP indices.

<p>Feature Importance Analysis of the Algorithms expressed by SHAP indices.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	M. A. Habib (16839161) (author)
مؤلفون آخرون:	S. Abolfathi (16839167) (author), J. J. O’Sullivan (16839164) (author), M. Salauddin (10017388) (author)
منشور في:	2025
الموضوعات:	Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified influential parameters across gaussian process regression coastal defence structures improved predictive formulae best predictive performance practical engineering needs powerful complementary tool coastal infrastructure design respectively ), indicating five ml algorithms div >< p >) based solely predictive accuracy reliable tool practical usability effective design >) within svr ), gbdt ), work advances wave overtopping validated using traditional empirical three kernel study presents structured pre strong agreement sloped breakwaters simplified equations relative freeboard recently emerged rae values q </ processing steps observed data new set model interpretability ml findings machine learning lowest rmse ln (< gpr yielded gpr ). gp ). genetic programming freeboard deficit enhance interpretability effectively modelling driven techniques based models
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

مواد مشابهة