Data & Features
Imbalanced Dataset
A dataset where classes have significantly different numbers of examples, causing models to bias toward majority classes.
Related Concepts
- Class Imbalance: Explore how Class Imbalance relates to Imbalanced Dataset
- Resampling: Explore how Resampling relates to Imbalanced Dataset
- SMOTE: Explore how SMOTE relates to Imbalanced Dataset
Why It Matters
Understanding Imbalanced Dataset is crucial for anyone working with data & features. This concept helps build a foundation for more advanced topics in AI and machine learning.
Learn More
This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
Tags
data-features class-imbalance resampling smote