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Machine Learning
Bias-Variance Tradeoff

Bias-Variance Tradeoff

[baɪəs ˈvɛriəns ˈtreɪdˌɔf]
Machine Learning
Last updated: December 9, 2024

Definition

Balancing model simplicity and complexity for optimal performance.

Detailed Explanation

The Bias-Variance Tradeoff is the balance between a model’s ability to generalize well (low variance) and its accuracy on the training data (low bias). Finding the right balance prevents overfitting and underfitting.

Use Cases

N/A

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