In this study, we implemented XGBoost (eXtreme Gradient Boosting) , a classification and regression algorithm, within a methodological chain that begins with careful selection and preprocessing of data. This includes the extraction of relevant molecular features and the transformation of these features into numerical representations, called fingerprints, that capture the chemical and structural essence of ligands.