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. Author manuscript; available in PMC: 2025 Sep 15.
Published in final edited form as: Proc (Int Conf Comput Sci Comput Intell). 2025 Aug 29;2507:139–153. doi: 10.1007/978-3-031-94950-0_13

Figure 1. Confusion Matrix for Classifier 1 Using Random Forest with 36 Predictor Features.

Figure 1.

Performance of Random Forest using prediction accuracy as an evaluation measure to differentiate CHD from Control cohort. The classifier was implemented using 35 cytokines and Preβ HDL and obtained a prediction accuracy of 98%