riccker/QGdata
收藏Hugging Face2026-03-25 更新2026-03-29 收录
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license: mit
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# 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*
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license: mit
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# 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*
提供机构：
riccker
