We propose a new ensemble classification algorithm, named super random subspace ensemble (Super RaSE), to tackle the … sparse classification problem. The proposed algorithm is motivated by the random subspace ensemble algorithm (RaSE). The RaSE …

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 …

of a number of ensemble classifier model variants (boosting, bagging and stacking) was estimated and verified. The … bankruptcy by using ensemble classifiers. The main goal of the research was to develop a scoring model (with good classification … classification effectiveness of ensemble models was compared with eight classical individual models which made use of single …