Predictive power has always been the main research focus of learning algorithms with the goal of minimizing the test … on sparse learning in order to avoid overfitting which can greatly affect the accuracy of out-of-sample prediction … response whereas even sparse-learning methods can still preserve a high number of attributes in high-dimensional settings and …

three ensemble-learning methods-specifically, bagging, random forest, and boosting-with those of various neural … boosting is superior to other machine-learning methods including neural networks. It is also found that the performance of …