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文章 2024-08-17 来自：开发者社区

【深度解析】超越RMSE和MSE：揭秘更多机器学习模型性能指标，助你成为数据分析高手！

当我们评估机器学习模型时，经常会遇到各种各样的性能指标。其中，均方误差（Mean Squared Error, MSE）和均方根误差（Root Mean Squared Error, RMSE）是最常用的两种度量方法。然而，在实际应用中，选择合适的评估指标至关重要，因为它...

文章 2023-10-31 来自：开发者社区

回归算法全解析！一文读懂机器学习中的回归模型

本文全面深入地探讨了机器学习中的回归问题，从基础概念和常用算法，到评估指标、算法选择，以及面对的挑战与解决方案。文章提供了丰富的技术细节和实用指导，旨在帮助读者更有效地理解和应用回归模型。一、引言回归问题的重要性回归问题是机器学习领域中最古老、最基础，同时也是最广泛应用的问题之一。无论是在金融、医疗、零售还是自然科学中，回归模型都扮演着至关重要的角色。简单地说，回归分析旨在建立一个模型，通过这个....

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更新时间 2024-08-18 12:27:02

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