Low and High-Dimensional Benchmark Datasets
收藏arXiv2025-09-30 收录
下载链接：
https://jundongl.github.io/scikit-feature/datasets.html
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资源简介：
该数据集包含了11个数据集，用于评估神经FS特征选择方法的有效性。这些数据集类型多样，旨在比较我们所提出的神经FS方法与几种先进的特征选择技术之间的性能表现。这项任务的主题是特征选择。
This benchmark dataset comprises 11 datasets for evaluating the effectiveness of neural feature selection (FS) methods. These datasets cover diverse data types, aiming to compare the performance of our proposed neural FS method against several state-of-the-art feature selection techniques. The core subject of this evaluation task is feature selection.
提供机构：
Scikit-Feature
