Скачать или смотреть Income Prediction Using Genetic Programming | CS6271 Project | Kaggle Submission

This video presents my MSc project for the CS6271 module on Evolutionary Algorithms and Humanoid Robotics at the University of Limerick.

The goal was to evolve symbolic models using Genetic Programming to predict income levels based on the Adult dataset. The project focused on interpretability and generalization, with the final submission evaluated on Kaggle’s public leaderboard.

🔍 Key Highlights:
• Genetic Programming setup and evolution strategy
• Submission file generation and Kaggle evaluation
• GP tree structure of the best individual
• Achieved 77.66% public accuracy on Kaggle

🎓 This work emphasizes the balance between accuracy and transparency in symbolic machine learning.

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