 This research proposes an optimization machine learning pipeline and a set of models trained for the prediction of the design variables of an eco-friendly concrete column. The harmony search algorithm was used as the optimization algorithm and different regression models were used as predictive models. The multi-output regression model achieved the highest accuracy in predicting the design variables such as section width, height, and reinforcement area. This article was authored by Yarn Aiden, G. Braille-Bectis, Sinon Melanigdoli, and others.