Fitness Quote by Aurélien Géron
““In Machine Learning this is called overfitting: it means that the model performs well on the training data, but it does not generalize well.””
About This Quote
Source Book: Hands‑On Machine Learning with Scikit‑Learn, Keras, and TensorFlow, 2017
Overfitting occurs when a model excels on training data but fails to generalize to new data.
In simple terms: Overfitting means poor performance on unseen data.
Prevent overfitting with validation.
Themes
Mood
Type
When to use this quote
- data science
- AI development
- model deployment
Key Concepts
Questions to Reflect On
- How can you detect overfitting early?
- What techniques improve generalization?
Overfitting limits real‑world applicability of models.