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Using Machine Learning to predict sociodemographic characteristics
Mobile phone data has become a fundamental tool to extract the mobility patterns of the population. However, some sociodemographic information about the mobile phone users is sometimes missing or that available is not always reliable. For instance, many customers do not provide information about their age or gender, while others have been assigned wrong values […]