BIG-bench Machine Learning

Machine Learning is an important branch under the Miscellaneous tasks in BIG-bench, focusing on the implementation and evaluation of machine learning algorithms in large-scale benchmarking. This task aims to systematically test, verify, and compare the performance of different algorithms on complex tasks, promoting algorithmic innovation and optimization, and enhancing the generalization and robustness of models, which holds significant research and application value.