sseilene/2019_2020_probs_logistic

该数据集包含多个公司的相关数据，涉及公司间的关联概率、预测标签、实际关联度、年份、实际标签等信息。数据集主要用于分析公司间的关系和预测模型的应用。数据集分为训练集，包含2006728个示例，总大小为112376768字节。

This dataset contains data related to multiple companies, including the probability of correlation between companies, predicted labels, actual correlation, year, actual labels, and more. The dataset is primarily used for analyzing relationships between companies and applying predictive models. It is divided into a training set, which includes 2006728 examples, with a total size of 112376768 bytes.