Multi-class Classification
Multi-class Classification is a solution for categorizing data points into three or more predefined classes using machine learning techniques.
Key Capabilities Used
Features
- Multiple class handling
- Probability estimation
- Class balancing
- Feature importance
- Model interpretability
Use Cases
- Document categorization
- Disease diagnosis
- Species identification
- Product categorization
- Intent classification
Technologies
- Support Vector Machines
- Random Forests
- Neural Networks
- Gradient Boosting
- Ensemble Methods