Identifying Glucose Metabolism Status in Nondiabetic Japanese Adults Using Machine Learning Model with Simple Questionnaire

Table 6

Performance of the random forest model using the ten variables in the external validation (95% confidence interval).

Model	AUC for classifying category 1 and the others	AUC for classifying category 2 and the others	AUC for classifying category 3 and the others	AUC for classifying category 4 and the others	Mean of AUCs	Sensitivity to detect categories 2, 3, and 4	Specificity to detect category 1
Random forest using 10 variables	0.66 (0.61–0.71)	0.57 (0.51–0.62)	0.60 (0.50–0.69)	0.64 (0.57–0.71)	0.62	0.70	0.55