juniorNeural Networks
What is underfitting?
Updated May 17, 2026
Short answer
Underfitting occurs when a model is too simple to capture data patterns.
Deep explanation
It results in poor performance on both training and test data. Increasing model complexity or training time can help.
Real-world example
Using linear regression for image classification.
Common mistakes
- Stopping training too early.
Follow-up questions
- How to fix underfitting?
- Is underfitting always bad?