… predictive tools in the breast cancer survival studies, particularly in the Asian region. The
important prognostic factors influencing … This study presented analysis of prognostic factors of …

… and predict students' academic performance by analyzing a … research on students’ behaviors
and learning outcomes with … In order to analyze students’ in-class behaviors, a computer-…

… The authors declare that they have no known competing financial interests or personal
relationships that could have appeared to influence the work reported in this paper. …

… Student success in e-learning clearly requires effective use … The findings of the analysis
revealed that there is no value of … Table (3) showed that the model has adequate predictive …

… This study explored the prediction success of five machine learning … (MLP) and quadratic
discriminant analysis (QDA)—for flood … Nine flood influencing factors were used in flood …

… Additionally, we carried out hierarchical clustering analysis over methods based on false
positive (FP) and false negative (FN) values. In this study, Python (version 3.7.0) and R (version …

… It is not possible to predict any outcomes in this theory, and the machine attempts to present
important understandings based on the enormous amount of data. This is again further …

… machine learning method) in developing student models for predicting individual students’
learning … the factors affecting students’ learning outcomes and to find associations between …

… In many policy contexts, analysts not only need to know what factors are important determinants
of mode choice, but also the direction and magnitude of their influence. For example, …

… the predicted levels of readiness on academic achievement in … the predictive roles of Internet
self-efficacy, computer self-… study’s regression analysis, and this prediction effect was also …