Performance of predictive models for COPD molecular subtypes using CBCs, inferred cell subpopulation proportions, and clinical covariates. Receiver operating characteristic curves demonstrate the predictive performance of support vector machine classifiers using complete blood count data, inferred cell subpopulation data, and clinical covariates for COPD molecular subtypes in 221 Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints subjects. Clinical covariates are age, sex, and pack-years.