benchm-ml: ML Algorithm Benchmark Comparison

me@ryanorban.com (Ryan Orban) — Wed, 12 Aug 2015 00:00:00 +0000

Summary

benchm-ml by Szilard Pafka is a systematic empirical comparison of machine learning algorithms across tools and platforms. The benchmark runs gradient boosting, random forest, neural networks, logistic regression, and others on standard classification tasks, measuring both prediction accuracy and training time. The goal: answer the practical question of which tool to actually use, not which one is theoretically optimal.

Xgboost on Ryan Orban

benchm-ml: ML Algorithm Benchmark Comparison

Summary