DaniFrame/AFRLA-instance-level-results

该README文件提供了多个数据集的详细信息，每个数据集都有自己的配置名称、特征、分割和大小。特征包括实例标识符、物理测量、分类变量和与模型相关的指标。数据集被分为训练集、验证集和测试集，并为每个集提供了特定的字节大小和示例数量。这些数据集涵盖了广泛的领域，包括生物学（鲍鱼）、经济学（拍卖验证）、健康（bng_echoMonths、预期寿命、帕金森病运动）、住房（加州住房）、技术（红外、ltfsid）和音乐（音乐流行度）。每个数据集都设计用于机器学习任务，具有真实值、预测值和模型性能指标等特征。

The README file provides detailed information about multiple datasets, each with its own configuration name, features, splits, and sizes. The features include various attributes such as instance identifiers, physical measurements, categorical variables, and model-related metrics. The splits are divided into train, validation, and test sets, with specific byte sizes and example counts provided for each. The datasets cover a wide range of topics, including biology (abalone), economics (auction_verification), health (bng_echoMonths, life_expectancy, parkinsons_motor), housing (california_housing), technology (infrared, ltfsid), and music (music_popularity). Each dataset is designed for machine learning tasks, with features like real values, predictions, and model performance metrics.