Improving machine learning performance using exponential smoothing for liver disease estimation.

Liver disease is a disease that affects many humans. Machine learning that is developing at this time, is also widely implemented in the medical field. In this study, machine learning was used to estimate liver disease. To improve the performance of the estimation results, data pre-processing is carried out in the form of data transformation with exponential smoothing (ES). From the experiments carried out, it turns out that the results of the machine learning performance increase. And the lowest RMSE results were obtained from the optimization of the knn method and the best average RMSE was obtained from the neural network (NN) method. [ABSTRACT FROM AUTHOR]