Comparison of methods for balancing data in decision trees.

NIAID Data Ecosystem2026-05-02 收录

类别不平衡

决策树优化

数据链接：

https://figshare.com/articles/dataset/Comparison_of_methods_for_balancing_data_in_decision_trees_/29853899 数据链接链接失效反馈

官方服务：

资源简介：

Comparison of methods for balancing data in decision trees.

创建时间：

2025-08-07

CLIMB

类别不平衡

数据挖掘

CLIMB是一个针对表格数据上的类别不平衡学习的综合基准，包含73个真实世界的表格数据集，涵盖了广泛的领域和失衡水平。该数据集旨在为类别不平衡学习提供基准，并支持不同类别不平衡学习算法之间的轻松实现和比较。数据集的创建基于严格的非平凡性和现实性标准，确保了数据集的真实性和实用性。数据集包括多种算法实现，如重采样、成本敏感学习和基于集成的方法。数据集还包含了一个统一的API设计，详细的文档和严格的代

arXiv2025-05-23 更新320

Three groups with class-imbalance ( π 1 = 0.4, π 2 = 0.2, π 3 = 0.4), dense block diagonal structure ( ρ = 0.9) and small mean difference ( γ = 0.1).

类别不平衡

分类器性能评估

Three groups with class-imbalance (π1 = 0.4, π2 = 0.2, π3 = 0.4), dense block diagonal structure (ρ = 0.9) and small mean difference (γ = 0.1).

NIAID Data Ecosystem20

Comparison of imbalanced data set sampling methods.

类别不平衡

采样技术验证

Comparison of imbalanced data set sampling methods.

Figshare2021-08-02 更新10

Artificial and Real dataset with different concept drift type and imbalance ratio

概念漂移检测

类别不平衡

The zip file contains both real and artificial datasets having different concept drift type and imbalance ratio. The real datasets are usually used as a benchmark for concept drift problems and they a

NIAID Data Ecosystem120

Class sample distribution in the Cleveland dataset (multiple classes).

心脏病诊断

类别不平衡

Class sample distribution in the Cleveland dataset (multiple classes).

Figshare2015-12-02 更新10