Complex Pattern Optimization In Gradient Boosting #7067
Description
Hello LightGBM team,
I’m excited to share a new research paper that may be of interest to the LightGBM community.
Complex Pattern Optimization – Enhancing Gradient Boosting for Complex Data Patterns
Abstract:
This paper introduces Complex Pattern Optimization, a novel technique that enhances gradient boosting for complex data patterns. It demonstrates its effectiveness through comprehensive benchmarking against LightGBM on a synthetically generated dataset containing intricate feature interactions, nonlinear relationships, and high-dimensional mixed feature types.
This method consistently achieves superior accuracy by better capturing complex patterns where traditional gradient boosting approaches struggle. The results establish a new state-of-the-art for complex pattern recognition, with promising applications across multiple machine learning domains including traditional ML, deep learning, and time series forecasting.
I have also provided complete dataset generation code to support reproducibility and community benchmarking.
Paper:
http://github.com/murtuzamomin/complex-ml-benchmark
complex_pattern_optimization_gradient_boosting.pdf
I’d be grateful for your feedback and would love to explore potential collaboration or integration opportunities. Thank you for your time and for maintaining such a powerful framework.
Best regards,
Mohammad Murtuza
murtuzamomin92@gmail.com