Solving Regression Problems with Intelligent Machine Learner for Engineering Informatics

Machine learning techniques have been used to develop many regression models make predictions based on experience and historical data. They might be singly or in ensembles. Single are either classification that use one technique, while ensemble combine various single models. To construct find the best model is very complex time-consuming, so this study develops a new platform, called intelligent Learner (iML), automatically build popular identify one. The iML platform benchmarked with WEKA by analyzing publicly available datasets. After that, four industrial experiments conducted evaluate performance of iML. In all cases, determined superior prior studies terms accuracy computation time. Thus, powerful efficient tool for solving problems engineering informatics.