ML-SPARD: a dataset for Machine Learning Performance Analysis in Small-samples Regression Problem

A set of databases has been curated to cater to the academic community's research needs in the realm of Machine Learning algorithm performance, particularly in scenarios with limited sample sizes and regression problems. These databases encompass varying sample sizes, data dimensionality, and the linearity of the response variable.本数据集组经精心构建，旨在满足学术界在机器学习（Machine Learning）算法性能研究领域的科研需求，尤其针对小样本场景与回归问题。该数据集组涵盖了不同的样本量、数据维度以及响应变量的线性特性。