To achieve this, we adopted a machine learning approach that incorporated the serum measurements of GM‐CSF, interferon γ (IFN‐γ), TGF‐β1, IL‐4, IL‐6, IL‐10, IL‐17A, and DCD, in conjunction with clinical–pathological features of such melanoma patients to determine the prognostic value of these parameters. The gene discussed is TGFB1; the disease is melanoma.