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

Table 4

Performance of the random forest model using the ten variables (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	0.68 (0.62–0.75)	0.66 (0.58–0.73)	0.61 (0.51–0.70)	0.70 (0.62–0.77)	0.66	0.70	0.41