Underfitting: Revision history

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20 September 2025

  • curprev 04:2504:25, 20 September 2025‎ Ai talk contribs‎ 8,160 bytes +8,160‎ Created page with "== Introduction == Underfitting is a critical concept in the field of machine learning, particularly in the context of model training and evaluation. It occurs when a statistical model or machine learning algorithm is unable to capture the underlying trend of the data. This typically results in poor predictive performance both on the training data and unseen data. Underfitting is often contrasted with overfitting, where a model learns the training data too well,..."
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