基于多源空间数据和随机森林模型的长沙市茶颜悦色门店选址与预测研究
黄钦, 杨波, 徐新创, 郝汉舟, 梁莉莉, 王敏

Location Selection and Prediction of SexyTea Store in Changsha City based on Multi-source Spatial Data and Random Forest Model
HUANG Qin, YANG Bo, XU Xinchuang, HAO Hanzhou, LIANG Lili, WANG Min
图7 模型拟合ROC曲线及AUC面积
Fig. 7 Model fitting ROC curve and AUC area