Table 4.

Metrics.

Metric	Description
Sensitivity (see Equation (8))	Correct identification of patients with T2DM (True Positive)
Specificity (see Equation (9))	Correct identification of patients without T2DM (True Negative)
Precision (see Equation (10))	Defines what portion of the positive cases of T2DM are actually positive
Negative Predictive Value (see Equation (11))	Defines what portion of the negative cases of T2DM are actually negative
False Positive Rate (see Equation (12))	The rate of the predicted false values that are actually true
False Negative Rate (see Equation (13))	The rate of the predicted true values that are actually false
Accuracy (see Equation (14))	The percentage of cases that the model has classified correctly
F1 Score (see Equation (15))	The measure of precision that a test has

All metrics in this table were extracted in models as part of the final ensemble.