What is Underfitting?

Underfitting occurs when a model fails to capture the complexity of the training data and thus is a poor representation of the relationship between the features and the target.

How to Address Overfitting and Underfitting in LLM Training?

What is underfitting and overfitting in machine learning? how to deal with it? - Pianalytix: Build Real-World Tech Projects

What is Overfitting and Underfitting in Machine Learning?

Underfitting DataRobot AI Wiki

Underfitting and Overfitting in Machine Learning

Illustration of the underfitting/overfitting issue on a simple

Underfitting, overfitting and model complexity

Overfitting and underfitting in machine learning

machine learning - How to know if model is overfitting or underfitting? - Cross Validated

Solved a) State the meaning of overfitting and underfitting

Cracking the Code on Underfitting in Machine Learning

Model Fit: Underfitting vs. Overfitting - Machine Learning

Techniques for handling underfitting and overfitting in Machine

Overfitting and Underfitting Principles in Machine Learning

Underfitting & Overfitting — The Thwarts of Machine Learning

Two inversions illustrating the effect of underfitting and overfitting