Research Article

Predicting Metabolic Syndrome Using the Random Forest Method

Table 3

Summary of statistical parameters for MS classification using Random Forest.

Internal test set (10-fold CV)External test set
AccSensSpecMCCAccSensSpecMCC

1097.1094.2897.980.9297.9995.0098.920.94
2097.9495.0798.820.9498.1194.0099.380.95
3098.0294.7299.040.9497.6492.0099.380.93
4098.0294.8199.020.9497.7692.5099.380.94
5098.0294.6499.070.9497.7692.5099.380.94

10-fold CV: 10-fold cross-validation, Acc: accuracy, Sens: sensitivity, Spec: specificity, and MCC: Matthews correlation coefficient.