# szilard/benchm-ml

<https://repo.masters-masters.com/en/repos/szilard/benchm-ml>

[Home](https://repo.masters-masters.com/en) › [szilard](https://repo.masters-masters.com/en/owners/szilard) › [benchm-ml](https://repo.masters-masters.com/en/repos/szilard/benchm-ml)

szilard/benchm-ml has 1,896 stars on GitHub. Its RepoMasters card: Beta tier. A minimal benchmark for scalability, speed and accuracy of commonly used open…

| Field | Value |
| --- | --- |
| Owner | [szilard](https://repo.masters-masters.com/en/owners/szilard) |
| Stars | 1,896 |
| Forks | 326 |
| Language | [R](https://repo.masters-masters.com/en/languages/r) |
| License | MIT |
| Created | 2015 |
| Topics | machine-learning, data-science, r, python, gradient-boosting-machine, random-forest, deep-learning, xgboost, h2o, spark |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [szilard/benchm-ml](https://github.com/szilard/benchm-ml) |

## Repository

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.