Fig. 5
From: Predictive model and feature importance for early detection of type II diabetes mellitus
Principal component analysis (PCA) biplot illustrating the relationships among study features and the clustering patterns in subjects with T2DM and no T2DM based on orthogonal linear combinations of the features. Glycated Haemoglobin (HbA1c), Total cholesterol (TC); Body Mass Index (BMI); Fasting Blood Sugar (FBS); Diastolic blood pressure (DBP); Triglycerides (TG); Systolic Blood Pressure (SBP); High Density Lipoprotein cholesterol (HDL-c); Density Lipoprotein cholesterol (LDL-c)