Performance metrics for ProSmith and previously published methods for DTA prediction for different splitting scenarios.

Bold numbers highlight the best performance for each metric under each scenario. Numbers in brackets indicate the standard deviation across the 5 repeated training runs with different splits. Arrows next to the metric names indicate if higher (↑) or lower (↓) values correspond to better model performance. Performance scores, except for the results of ProSmith, are taken from Ref. [12].粗体数字标注了各场景下各评估指标的最优性能表现。括号内的数值代表采用不同数据划分方式进行5次重复训练实验所得到的标准差。指标名称旁的箭头用以说明：数值越高（↑）或越低（↓）时对应模型性能更优。除ProSmith的实验结果外，其余性能得分均引自参考文献[12]。