DaniFrame/AFRLA-assessor-instance-level-results
收藏Hugging Face2024-09-03 更新2024-12-14 收录
下载链接：
https://hf-mirror.com/datasets/DaniFrame/AFRLA-assessor-instance-level-results
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资源简介：
该数据集包含多个配置，每个配置涉及不同的机器学习模型（如线性回归和XGBoost），并且每个配置都有不同的种子值。数据集中的特征主要是与预测相关的数值数据，如L1s_real、L1_real、L2s_real等。每个配置的数据集被分为训练集、验证集和测试集，并提供了每个分割的大小和示例数量。
The dataset contains multiple configurations, each involving different machine learning models (such as linear regression and XGBoost), and each configuration has different seed values. The features in the dataset are mainly numerical data related to predictions, such as L1s_real, L1_real, L2s_real, etc. Each configurations dataset is divided into training, validation, and test sets, with the size and number of examples provided for each split.
提供机构：
DaniFrame
