Using a data science approach to predict cocaine use frequency from depressive symptoms

•Most of the items from the BDI-II are nonlinearly related to cocaine use severity.•Prior research has not explored the nonlinear nature of these relationships.•Findings support use of machine learning algorithms to understand drug abuse data.•Best predictors of cocaine use were emotional volatility...

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