pfilonenko/ML_for_TwoSampleTesting

该数据集是一个用于解决右删失数据下的两样本问题的机器学习研究的补充数据。数据集通过蒙特卡罗方法和逆变换采样生成，包含原始数据、训练样本、测试样本以及机器学习预测结果。数据集中包含多个字段，涉及样本模拟参数、经典两样本测试统计量以及提出的机器学习方法的统计量。

This dataset is a supplement to the machine learning methods for solving the two-sample problem under right-censored observations. The dataset contains synthetic data simulated by the Monte Carlo method and Inverse Transform Sampling. The dataset is divided into multiple files, including raw simulated data, train and test samples, and test samples supplemented with machine learning predictions. The dataset fields include parameters of sample simulation, statistics of classical two-sample tests, and statistics of the proposed machine learning methods.