Rare Event Classification Project

Overview

This project aims to perform rare event classification using various data balancing techniques and training with different classifiers.

Data Balancing Techniques

Three different data balancing techniques are used:

• Random Over-sampling (ROS)
• Random Under-sampling (RUS)
• Synthetic Minority Over-sampling Technique (SMOTE)

Classifiers

Three different classifiers are trained on the balanced datasets:

• Support Vector Machine (SVM)
• Random Forest (RF)
• Gradient Boosting (GB)

Contributors

• Lokesh K
• Bhaskar Konda
• Venkata Sai
• Krishna Deepak
• Akash Potturi
• Leela Krishna
• Naveen K

Pull Requests

Just to let you know, pull requests are welcome. For major changes, please open an issue first to discuss what you want to change.

License

MIT