115 datasets

The '115 datasets' benchmark contains a diverse collection of datasets used to evaluate the performance of machine learning algorithms, specifically in the context of classification and similarity-preserving hashing methods.

Papers using 115 datasets (1)

Learning ON Large Datasets Using Bit-String Trees2025