Optimal blending of multiple independent prediction models

Frontiers in Artificial Intelligence

Artificial Intelligence

Peter Taraba¹ 

[1] null;

关键词: blending of independent models;    normal distributions;    machine learning with counts;    Gaussians;    going wider;   

DOI  :  10.3389/frai.2023.1144886

 received in 2023-01-15, accepted in 2023-02-06,  发布年份 2023

来源: Frontiers

【 摘 要 】

We derive blending coefficients for the optimal blend of multiple independent prediction models with normal (Gaussian) distribution as well as the variance of the final blend. We also provide lower and upper bound estimation for the final variance and we compare these results with machine learning with counts, where only binary information (feature says yes or no only) is used for every feature and the majority of features agreeing together make the decision.

【 授权许可】

Unknown   
Copyright © 2023 Taraba.