Overfitting vs Underfitting Explained: How to Fix Both in Machine Learning
中文摘要
本文详解机器学习中的过拟合与欠拟合及其解决方法，旨在提高模型的泛化能力。
English Summary
This guide explains overfitting and underfitting in machine learning and how to fix them to improve model generalization.
原文节选
Your Machine Learning model achieves 99% accuracy during training, but completely fails on new data. Or perhaps it performs poorly… Continue reading on Medium »