Penn Machine Learning Benchmark (Real-World)

The Penn Machine Learning Benchmark (Real-World) is a machine learning benchmark task focused on real-world datasets, aiming to evaluate and compare the performance of different machine learning algorithms in addressing practical problems. Through standardized evaluation metrics and procedures, it provides researchers with an objective and reproducible experimental platform, contributing to the advancement and application of machine learning technologies in complex real-world environments.