Bias-Variance Tradeoff: Revision history

10 June 2025

• curprev 06:2006:20, 10 June 2025 Thakshashila talk contribs 2,658 bytes +37 →SEO Keywords
• curprev 05:5905:59, 10 June 2025 Thakshashila talk contribs 2,621 bytes +2,621 Created page with "= Bias-Variance Tradeoff = '''Bias-Variance Tradeoff''' is a fundamental concept in machine learning that describes the balance between two sources of error that affect model performance: bias and variance. == What is Bias? == Bias refers to the error introduced by approximating a real-world problem, which may be complex, by a simpler model. A model with high bias pays little attention to the training data and oversimplifies the problem. * High bias can cause '''unde..."