In this study, the performances of various regression models are compared for predicting the wind turbine generation power using SCADA data from a wind-turbine in Turkey. The main objective of the study is to evaluate different machine learning algorithms to accurately predict the active power generation of the turbine under the influence of different parameters such as wind speed, wind direction, theoretical power curve. For this purpose, a total of 10 different regression models including CatB