Traditional and modified ROC AUC values for ENMs built on GARP and Maxent algorithms.

Traditional and modified ROC AUC values for GARP and Maxent models trained and tested with independent spatial subsets of WHO occurrence data subsets (first two sections). Performance of models trained with data from WHO (1980s) and applied directly to recent occurrence data, or projected onto environmental conditions of the 2000s is shown in the succeeding sections. Modified ROC AUC values are reported as minimum, maximum, mean, and standard deviation of 1000 random replicates; also provided is the number of bootstrap replicates falling at or below 1.本数据集收录了基于世界卫生组织（World Health Organization, WHO）出现数据子集的独立空间子集完成训练与测试的遗传算法规则集模型（Genetic Algorithm-based Rule-set Prediction, GARP）及最大熵模型（Maximum Entropy Model, Maxent）的传统与修正受试者工作特征曲线下面积（Receiver Operating Characteristic Area Under the Curve, ROC AUC），相关内容对应前两个小节。以世界卫生组织1980年代数据训练的模型，直接应用于近期出现数据，或投影至2000年代环境条件下的模型表现，将在后续小节中展示。修正ROC AUC值以1000次随机重复的最小值、最大值、均值与标准差进行报告；同时给出了取值小于等于1的自助法重复样本的数量。