Randomly Generated Training Data

该数据集是一套用于实验模型扰动和远端干扰的合成数据集。它被用来评估不同机器学习模型在模型扰动和远端干扰方面的性能表现。该数据集规模包括均匀采样10万个点，用于蒙特卡洛积分。其任务涉及二维回归问题和合成序列学习问题。

This is a synthetic dataset developed for experiments related to model perturbations and remote interference. It is utilized to evaluate the performance of various machine learning models under the conditions of model perturbations and remote interference. The dataset includes 100,000 uniformly sampled points for Monte Carlo integration, and its associated tasks involve two-dimensional regression problems and synthetic sequence learning problems.