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The machine learning models of GBDT was developed to predict the adsorption capacity of heavy metals on activated carbons, biochars, and carbon nanotubes, based on data from the following studies. In this page, you can select different adsorbents or different heavy metals, by entering the necessary parameters to get the adsorption capacity under the conditions. More detailed information about the development of machine learning models is available in the following study.