Microbiome Data Set (Verification Set)

该数据集包含了12个精心挑选的数据集，旨在为微生物组数据评估机器学习方法提供基准。这些数据集被用于验证最终模型的准确性。数据集规模中位数为220个样本，包含885个特征。该任务的目标是针对微生物组数据对机器学习方法进行基准测试。

This benchmark dataset comprises 12 carefully curated datasets, developed to provide standardized benchmarks for evaluating machine learning methods on microbiome data. These datasets are utilized to validate the accuracy of the final trained machine learning models. The median sample size of each constituent dataset is 220, with 885 features included per dataset. The primary goal of this task is to benchmark machine learning methods on microbiome data.