AdaBoost tweaks the sample weight for each training set used in the iterative process, however, it is demonstrated that … this study, we propose a novel way to improve the performance of the existing AdaBoost algorithm by employing heterogeneous …

the bias and over-fitting in the models, random forest and AdaBoost techniques are applied and compared with the logistic …

the bias and over-fitting in the models, random forest and AdaBoost techniques are applied and compared with the logistic …

trees and the AdaBoost algorithm to identify student characteristics which distinguish potential dropouts from graduates …

uses regression analysis, neural networks, decision trees, and the AdaBoost algorithm to identify student characteristics …