Selection - Tag - Zhiversehttps://yao-chih.netlify.app/en/tags/selection/Selection - Tag - ZhiverseHugo -- gohugo.ioenyaochihh@gmail.com (Josh)yaochihh@gmail.com (Josh)ZhiverseMethods for Selecting Modelshttps://yao-chih.netlify.app/en/methods-for-selecting-models/Sun, 20 Jul 2025 11:55:51 +0800Authorhttps://yao-chih.netlify.app/en/methods-for-selecting-models/<div class="featured-image"> <img src="https://raw.githubusercontent.com/Josh-test-lab/website-assets-repository/refs/heads/main/posts/Methods%20for%20Selecting%20Models/cover%20image.png" referrerpolicy="no-referrer"> </div>How can we evaluate and compare multiple models, and select the best one for statistical analysis or machine learning? Simple models may fail to fit the data well, while overly complex models may suffer from "overfitting", reducing their predictive performance on future data.