# IntelPython/scikit-learn\_bench

<https://repo.masters-masters.com/en/repos/IntelPython/scikit-learn_bench>

[Home](https://repo.masters-masters.com/en) › [IntelPython](https://repo.masters-masters.com/en/owners/IntelPython) › [scikit-learn\_bench](https://repo.masters-masters.com/en/repos/IntelPython/scikit-learn_bench)

IntelPython/scikit-learn\_bench has 124 stars on GitHub. Its RepoMasters card: Prototype tier. scikit-learn\_bench benchmarks various implementations of machine…

| Field | Value |
| --- | --- |
| Owner | [IntelPython](https://repo.masters-masters.com/en/owners/IntelPython) |
| Stars | 124 |
| Forks | 76 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2018 |
| Topics | machine-learning-benchmarks, machine-learning, benchmarks, scikit-learn-benchmarks, daal4py, hacktoberfest |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [IntelPython/scikit-learn\_bench](https://github.com/IntelPython/scikit-learn_bench) |

## Repository

scikit-learn\_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently support the scikit-learn, DAAL4PY, cuML, and XGBoost frameworks for commonly used machine learning algorithms.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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