riccker/QGdata

--- license: mit --- # QG工作室人工智能组培训数据集 > 机器学习培训阶段专用数据集 ### 数据集说明 1. 数据集包含训练集train、测试集test 2. 最后一列为标签，其余列为特征 3. 完成分类任务后，需对模型进行合理的全面评估，指标至少包括Accuracy、Precision、Recall、F1-score 以及 ROC-AUC 曲线，评估指标不设上限 *Designed by yrui | QG Studio AI Group | 2026.03*--- license: mit --- # Training Dataset for QG Studio AI Group > Specialized Dataset for Machine Learning Training Phase ### Dataset Description 1. The dataset includes a training set (train) and a test set (test) 2. The last column serves as the label, while all other columns are features 3. After completing the classification task, a reasonable and comprehensive evaluation of the model is required. The evaluation metrics shall include at least Accuracy, Precision, Recall, F1-score and ROC-AUC curve, with no upper limit on the number of optional metrics. *Designed by yrui | QG Studio AI Group | 2026.03*