AUImport

该数据集是一份针对澳大利亚进口数据的纵向数据集，特别强调高基数分类变量。此外，每个分类变量都包含了随机效应。数据规模较大，包含了高基数分类变量。该数据集的任务是使用机器学习方法预测进口数据的准确性。

This is a longitudinal dataset focused on Australian import trade data, with a particular emphasis on high-cardinality categorical variables. Additionally, random effects are incorporated into each of these categorical variables. The dataset has a substantial scale and encompasses multiple high-cardinality categorical variables. The core predictive task of this dataset is to forecast the accuracy of import trade data using machine learning methodologies.