📚 node [[underfitting|underfitting]]
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📓 garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Underfitting.md by @KGBicheno

underfitting

Go back to the [[AI Glossary]]

Producing a model with poor predictive ability because the model hasn't captured the complexity of the training data. Many problems can cause underfitting, including:

Training on the wrong set of features.
Training for too few epochs or at too low a learning rate.
Training with too high a regularization rate.
Providing too few hidden layers in a deep neural network.
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