This page contains benchmarks for the various algorithms implemented in mlpack 1.0.10. When applicable, timing results are also given for other libraries. Currently, benchmarks are provided for scikit-learn, the SHOGUN machine learning toolbox, Weka 3, mlpy, and standard MATLAB implementations. If you don't see benchmarks for your favorite library or algorithm, feel free to file a bug report or consult the documentation for the automatic benchmarking system and write a script.
The automatic benchmarking system was developed as a Google Summer of Code 2013 project by Marcus Edel and improved by Anand Soni during GSoC 2014, and is maintained separately on Github.