Individuals' beliefs and attitudes towards climate change have a significant impact on their support for environmental policy regulations and willingness to take voluntary actions. In this paper, we aim to predict public beliefs about global warming, anthropogenic climate change, support for an environmental tax policy, and likelihood of buying an energy efficient home appliance. We use the data from the European Social Survey and employ four machine learning techniques to predict individuals'

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... nvironmental beliefs and attitudes. We can correctly identify more than 70% of the green respondents in different settings. For policymakers, being able to predict these preferences is crucial to successfully implement an environmental policy. These results help politicians avoid substantial resistance costs that can arise from an environmental policy without broad public support. This information is also helpful for green producers to predict consumers' willingness to pay and environmental preferences to deliver targeted marketing strategies and product features. JEL classification: Q54, Q58, C53