Table 3. Classifier 1 Prediction Accuracy Using Random Forest with 35 Cytokines and Preβ HDL.

Classifier algorithm details related to the first Random Forest algorithm using 35 cytokines and Preβ HDL as predictor features with diagnosed CHD and Controls. The evaluation metrics included prediction accuracy, AUROC efficacy percentage and the F1 score.

Algorithm	Classification Details	Predictor Feature Space	AUROC	Prediction Accuracy	F1 Score
Random Forest	Number of estimators = 200 Depth of trees = 5	35 Cytokines and Preβ HDL	100%	98.2%	98%