… prediction results of the linear model and the non-linear model to build an ensemble system
to predict user behavior [5]. … learning models are applied to the prediction of online shopping …

… The authors of [11] detailed the entire process of mining e-learning … ' behavior and interaction
with process mining methods. The quiz-taking behavior of students in an online learning …

… learning (ML) approach for predicting the creep behavior of concrete. Three ensemble machine
learning (… theories, are calculated to interpretate the predictions of the EML model. Five …

… -learning approach for predicting building energy consumption in an occupant-behavior-…
dimension, there is a lack of studies focusing on deep learning and ensemble approaches. …

… Ensemble methods is like using the predictions of small expert models in different parts of
the input space. Ensemble Learning … Ensemble Learning is basically stacking of some simple …

… Obviously, compared with the other two aspects, predicting structural behavior using ML …
In most of the applications of ML-based structural behavior prediction, the individual learning …

… pair subsets, we obtain the predictions of different learning models which are used as the
meta-data to build the meta-model. Meta-model makes the final prediction, which is also called …

… , and regression, are applied to anticipate the learner’s study behavior. By Machine …
Traditional and ensemble prediction models are built using Jordanian datasets and the same vari…

… ensemble based on a hybrid of Random Forest (RF), Extreme Gradient Boosting (XGBoost),
Gradient Boosting (GB), and Feed-forward Neural Networks (FNN) to predict … behavior that …

… other people, attempt to predict their behavior, and modify our own behavior further … based
on their behaviors. The main conclusion of this study is Ensemble Learning showed the best …