The 100-fold-CV performance of the 478 classifiers that are searched during the second classifier selection.

Highlighted in yellow are the three classifiers that satisfied the criterion. Columns under “Leave-one-exp-out” and “Four-exp-combined” correspond to the performance in the leave-one-experiment-out setting and four-experiments-combined setting, respectively. In the leave-one-experiment-out setting, a different experiment is used as the validation set and the columns D-K denote the specificity and sensitivity values on the four validation sets. Columns L and M denote the average of the specificity and sensitivity values in columns D-K, respectively. Columns N and O denote the minimum of the specificity and sensitivity values in columns D-K, respectively. In the four-experiments-combined setting, four experiments are combined into a dataset. Columns P-W denote the specificity and sensitivity values calculated using only the samples from a single experiment. Columns X and Y denote the average of the specificity and sensitivity values in columns P-W, respectively. Columns Z and AA denote the minimum of the specificity and sensitivity values in columns P-W, respectively. Columns AB and AC denote the sensitivity and specificity values computed in the usual way i.e., using all the samples. (XLSX)以黄色高亮标记的为满足该评判标准的三个分类器。“留一实验法（Leave-one-experiment-out）”与“四实验合并（Four-experiments-combined）”项下的列，分别对应留一实验法设置与四实验合并设置下的模型性能。在留一实验法设置中，以单个独立实验作为验证集，D至K列分别表示四个验证集对应的特异度（specificity）与灵敏度（sensitivity）数值。L、M列分别代表D至K列中特异度与灵敏度数值的平均值。N、O列分别代表D至K列中特异度与灵敏度数值的最小值。在四实验合并设置中，将四个实验合并为一个数据集。P至W列分别表示仅使用单个实验的样本计算得到的特异度与灵敏度数值。X、Y列分别代表P至W列中特异度与灵敏度数值的平均值。Z、AA列分别代表P至W列中特异度与灵敏度数值的最小值。AB、AC列分别表示采用常规方式（即使用全部样本）计算得到的灵敏度与特异度数值。(XLSX)