In the case of su-DeepBTS erasing feature selector, gender; ECOG performance status; baseline lung diffusion capacity (DLCO, diffusion capacity of carbon monoxide); laboratory findings including white blood cell (WBC) count, lymphocyte fraction, albumin; the pathological findings including the number of lymph node (LN) metastasis, T stage, tumor histology, vascular invasion, and lymphatic invasion; achievement of complete resection (R0 resection); neoadjuvant treatment and adjuvant treatment were identified as the optimal 14 feature set for su-DeepBTS. The gene discussed is ALB; the disease is neoplasm.