In this study, we attempted to determine the feasibility of using SVM and RF machine learning models to test the efficacy of the different biomarkers (i.e., DaT-SPECT imaging and CSF: α-syn, Aβ42, t-tau, p-tau, NfL) for detecting PD and MCI. The gene discussed is MAPT; the disease is Parkinson disease.