US Flight Data

该数据集包含了用于预测航班起飞是否延误的飞行记录，其中包括对近期及周围航班观察到的数据以及气象信息。此外，对8372次航班转移进行了评估，并以ROC曲线下的面积来衡量性能。数据规模涉及92个学习领域，包括10个机场和11家航空公司，每个领域有1,880到9,500个LSOs。该任务旨在预测航班起飞延误情况。

This dataset contains flight records for flight takeoff delay prediction, including observed data from recent and adjacent flights as well as meteorological information. A total of 8,372 flight transfer events were evaluated for this task, with model performance measured using the Area Under the Receiver Operating Characteristic Curve (ROC-AUC). The dataset covers 92 learning domains, involving 10 airports and 11 airlines, where each domain contains between 1,880 and 9,500 LSOs. The core task of this dataset is to predict flight takeoff delays.