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In this study, four different heuristic regression methods including Kriging, response surface method (RSM), multivariate adaptive regression (MARS) and M5 model tree (M5Tree) have been investigated for accurate estimating of solar radiation with different input data. Monthly solar radiation (SR) from Adana and Antakya stations, which are located in Eastern Mediterranean Region of Turkey is estimated based on the input data of maximum temperature (T_max), minimum temperature (T_min), sunshine hours (H_s), wind speed (W_s), and relative humidity (RH). In Adana station, the best MARS model provided slightly better accuracy than the Kriging, RSM and M5Tree while the Kriging was found to be the better than the MARS, RSM and M5Tree in Antakya station. The predictions of M5Tree model are shown inaccurate results for both maximum errors and minimum agreement compared to another models. The effect of …