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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

Tools