neurodata/slbR: Statistical Learning Benchmarks

In assessing the generalizability of a statistical learning algorithm, it is vital to consider a variety of diverse, feature-rich datasets. In this package, we develop a simple interface to many common benchmark datasets, including the Penn Machine Learning Benchmarks Olson (2017) <arXiv:1703.00512>, UC-Irvine Machine-Learning Repository, and MNIST Lecun (1998) <doi:10.1109/5.726791> for both classification and regression tasks, allowing users to examine performance across many disparate contexts. Utilities are also included to automatically load and clean data from different datasets.

install.packages("remotes")
remotes::install_github("neurodata/slbR")