Figure 3
From: Blood Biochemistry Analysis to Detect Smoking Status and Quantify Accelerated Aging in Smokers
Confusion matrices. (A) Confusion matrices for the best-performing smoking status classifier, trained on 23 features, in number of samples (left) and percentage (right). Row values show predicted smoking status, and columns show actual smoking status. Most of the error smoking predictions occurred in individuals older than 55 years. (B) Confusion matrices for age prediction by age groups for the best model, trained on 24 parameters, in number of samples (left) and percentage (right). Row values show actual chronological age group, and columns show predicted age group. Smokers of age groups < 30 and 30–40 were mostly predicted to be older.
