Proper assessment of wind load ensures a durable design of structures under varying wind load conditions. Accurate prediction of surface mean pressure coefficient (C¯p) on any irregular plan shaped buildings is essential to assessing wind loads and structural design. The main objective of this study is to present an equation in the line of Multivariate Adaptive Regression Spline (MARS) approach using experimental data of C¯p. This developed equation can be used satisfactorily for accurate prediction of C¯p values on the surfaces of C-shaped buildings. Extensive experimentation was carried out to determine the coefficient of pressure over the surfaces of C-shaped building models under varying sizes, corner curvatures, and angles of incidence in a sub-sonic wind tunnel. The predicted values of pressure coefficient of different C-shaped buildings using the developed model were compared with the equations developed by Swami and Chandra (S&C) and Muehleisen and Patrizi (M&P). The comparison indicated that the proposed MARS model could predict C¯p values more accurately than S&C and M&P models on frontal and side surfaces. Further, the model was used to validate the results using the actual building, and Tokyo Polytechnic University (TPU) data were employed to show the applicability of the proposed equation. © 2020 Sharif University of Technology. All rights reserved.