Glossary › Underfitting
Underfitting
When a model is too simple to capture the patterns in the data. Symptoms: high training loss and high validation loss. Solutions: more complex model, better features, more training data, less regularization.
Glossary › Underfitting
When a model is too simple to capture the patterns in the data. Symptoms: high training loss and high validation loss. Solutions: more complex model, better features, more training data, less regularization.