Synthetic Gaussian Noise Dataset
收藏arXiv2025-09-30 收录
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https://scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_quantile.html
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资源简介：
该数据集通过将函数x sin x与加性高斯噪声混合创建而成，其中包含了5000个训练点和1000个测试点。该数据集旨在评估预测区间，并包含了不同模型配置下的结果。规模上，它拥有5000个训练点和1000个测试点，任务是对带有不确定性量化的回归分析。
This dataset is constructed by mixing the function (x sin x) with additive Gaussian noise, comprising 5000 training points and 1000 testing points. It is intended for evaluating prediction intervals and includes results obtained under different model configurations. The core task of this dataset is regression analysis with uncertainty quantification.
