# ZhiningLiu1998/self-paced-ensemble

<https://repo.masters-masters.com/en/repos/ZhiningLiu1998/self-paced-ensemble>

[Home](https://repo.masters-masters.com/en) › [ZhiningLiu1998](https://repo.masters-masters.com/en/owners/ZhiningLiu1998) › [self-paced-ensemble](https://repo.masters-masters.com/en/repos/ZhiningLiu1998/self-paced-ensemble)

ZhiningLiu1998/self-paced-ensemble has 261 stars on GitHub. Its RepoMasters card: Alpha tier. \[ICDE'20\] ⚖️ A general, efficient ensemble framework for…

| Field | Value |
| --- | --- |
| Owner | [ZhiningLiu1998](https://repo.masters-masters.com/en/owners/ZhiningLiu1998) |
| Stars | 261 |
| Forks | 49 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | imbalance-classification, ensemble-learning, imbalanced-learning, imbalanced-data, ensemble-methods, machine-learning, python3, ensemble, ensemble-model, classification |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [ZhiningLiu1998/self-paced-ensemble](https://github.com/ZhiningLiu1998/self-paced-ensemble) |

## Repository

\[ICDE'20\] ⚖️ A general, efficient ensemble framework for imbalanced classification. \| 泛用，高效，鲁棒的类别不平衡学习框架

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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