Effect of CatBoost Parameters on Cost Minimization of Rectangular Section Reinforced Concrete Columns Under Uniaxial Bending Effect

Reinforced concrete columns are vertical bearing elements that transfer loads from horizontal bearing elements such as slabs and beams to foundations. In this Chapter, the cost minimization of a rectangular reinforced concrete column under uniaxial bending is carried out and the obtained data is used in machine learning. Harmony Search (HS) was used for optimization and Categorical Boosting (CatBoost) was used for the machine learning process. The effect of model parameters on the success of the model is investigated using coefficient of determination (R2). As a result, the “iterations” parameter had the highest impact on the model.