Table 4. Classifier 2 Prediction Accuracy Using Random Forest with the Six Most Prominent Cytokines and Preβ HDL.

Classifier 2 description using Random Forest using the most prominent biomarkers as predictor features: Preβ HDL, FGF-Basic, MCP-1, Eotaxin, IL-10, IL-9, IL-1β with diagnosed CHD and Controls. Prediction accuracy, AUROC score and F1 score measures were used to evaluate this classifier.

Algorithm	Classification Details	Predictor Feature Space	AUROC	Prediction Accuracy	F1 Score
Random Forest	Number of estimators = 200 Depth of trees = 5	Preβ HDL, FGF-Basic, MCP-1, Eotaxin, IL-10, IL-9, IL-1β.	100%	100%	100%