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Machine Learning
Underfitting

Underfitting

[ˈʌndərˌfɪtɪŋ]
New Machine Learning
Last updated: 2026-06-05

Definition

When a model is too simple to capture data patterns.

Detailed Explanation

Underfitting happens when a model cannot capture the underlying trend of the data due to its simplicity. It performs poorly on both training and new data.

Use Cases

N/A

Related Terms

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A simple neural network model for binary classification.

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Selecting the most relevant variables for model training.

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