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Overfitting is one of the critical problems in developing models by machine learning. With machine learning becoming an essential technology in computational biology, we must include training about overfitting in all courses that introduce this technology to students and practitioners. We here propose a hands-on training for overfitting that is suitable for introductory level courses and can be carried out on its own or embedded within any data science course. We use workflow-based design ofdoi:10.1371/journal.pcbi.1008671 pmid:33661899 pmcid:PMC7932115 fatcat:cckfe3xxmbgohcx6gpearweuii