TAAFT
Free mode
100% free
Freemium
Free Trial
Deals
Create tool
Glossary
Machine Learning
Overfitting

Overfitting

[ˈoʊvərˌfɪtɪŋ]
Machine Learning
Last updated: December 9, 2024

Definition

When a model learns noise in data reducing its generalization.

Detailed Explanation

Overfitting occurs when a model becomes too complex and captures the random noise in the training data rather than the underlying pattern. This results in poor performance on new unseen data.

Use Cases

N/A

Related Terms

Synthetic Data Generation

The creation of artificial data that mimics the statistical properties and patterns of real data.

Machine Learning

Gradient Boosting Machines

Ensemble models that build sequential trees to minimize errors.

Machine Learning

Agglomerative Clustering

A hierarchical clustering approach that builds nested clusters by merging closer clusters.

Machine Learning