Abstract
The heart is important as the most important organ in the human body. Through the heart, blood circulates in the human body, and through this circulation, oxygen, hormones, various cells and compounds necessary for human life are distributed. When the heart stops working, all functions in the human body fail. In this context, machine learning methods demonstrate a significant ability to make predictions. In recent years, the pace of application of machine learning methods to medicine has been increasing. Given that the scope of application is in demand, we can see that the accuracy of the machine learning method is quite high. In this paper, which we used to predict heart disease, classification algorithms were used, resulting in a high predictive ability. Data consisting of 304 columns was taken as a database. In order to achieve better results through algorithms, the data was standardized according to the result, the data that could not be standardized was trained through the best parameters.