Synthetic and Flu Domain

该数据集包含了合成数据及与流感领域相关的数据，旨在比较广义回归过程（GP回归）与分解广义回归过程之间的性能表现。此外，该数据集还用于评估真实潜在函数与回归模型估计之间的均方根误差（RMSE）。数据集以均匀离散的方式扩展至1000个点，其任务是对比广义回归过程算法与分解广义回归过程算法的性能。

This dataset comprises both synthetic data and data relevant to the influenza domain. Its core objective is to compare the performance between Generalized Regression Process (GP regression) and Decomposed Generalized Regression Process. Additionally, this dataset can also be used to evaluate the Root Mean Squared Error (RMSE) between the true underlying function and the estimates generated by regression models. The dataset is uniformly discretized into 1000 data points, and its assigned task is to compare the performance of the Generalized Regression Process algorithm and the Decomposed Generalized Regression Process algorithm.