Research Article

Predicting Metabolic Syndrome Using the Random Forest Method

Table 5

Decision rules extracted from one of twenty trees from the predictive model trained with Random Forest.

Frequency (%)Error (%)ConditionPrediction

420WC ≤ 79.75 and TG ≤ 150.5Non-MS
10.10FPG ≤ 99.5 and TG ≤ 149.5 and HDL-C > 49.15 and LDL-C ≤ 128.05 Non-MS
9.60WC > 87.75 and systolic > 127 and TG > 149.5MS
3.30Sex = female and WC > 79.5 and systolic > 125 and FPG > 99.5 MS
1.70WC > 87.5 and systolic > 128 and FPG > 99.5MS
1.70Sex = female and WC > 80 and TG > 150.5 and HDL-C ≤ 48.1 MS
1.70WC ≤ 87.75 and systolic ≤ 127 and Hct > 44.77Non-MS
1.30Sex = female and WC > 79.5 and systolic > 129 and HDL-C ≤ 49.75 MS
8.70FPG ≤ 99.5 and TG ≤ 149.5 and HDL-C > 49.15Non-MS
1.10FPG ≤ 99.5 and TG ≤ 149.5 and HDL-C > 38.7 and Hct > 44.1 Non-MS
1.10Systolic > 125 and FPG > 99.5 and TG > 149.5MS
1.50WC ≤ 78.5 and HDL-C > 50.45Non-MS
10WC > 87.75 and FPG > 99.5 and TG > 148.5MS
1.51.1WC ≤ 87.5 and TG ≤ 150.5 and Hct > 42.305Non-MS
1.81.9FPG ≤ 99.5 and TG ≤ 149.5 and HDL-C > 39.6Non-MS
2.12.5Systolic ≤ 125 and diastolic ≤ 85 and TG ≤ 149.5 and HDL-C > 47.2 Non-MS
2.52.9Sex = male and WC ≤ 87.75 and HDL-C > 39.95Non-MS
16.8Diastolic > 85 and TG > 149.5MS
1.66.5WC ≤ 87.75 and systolic ≤ 127 and FPG ≤ 99.5Non-MS
1.10TG > 150.5 and HDL-C ≤ 40.05MS