Knowledge Graph — Coursera Notes › Academic disciplines › Information Technology / Computer Science › Artificial Intelligence › Machine Learning & Data

Overfitting

concept · part of Machine Learning & Data

A modeling issue where the model fits noise in the training data, often worsened by poor data quality.

Overfitting occurs when model performs well on training data but poorly on unseen data. Signs: high training accuracy, low validation/test accuracy. Solutions: regularization (e.g., dropout), reduce model complexity, data augmentation.

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