Airlines Departure Delay Prediction

该数据集包含了1000万个实例，每个实例由7个混合类型特征值组成，其中3个为名义特征，4个为数值特征。此外，这个数据集中不存在缺失值。规模达到了1000万实例，其任务是预测航空公司的航班延误情况。This dataset comprises 10 million instances, each containing 7 mixed-type feature values—3 nominal features and 4 numerical features. Furthermore, no missing values are present in this dataset. The downstream task of this dataset is to predict airline flight delays.