… an analysis of ARTMAP-based models in ensemble systems. As a result of this analysis, two
… ensemble systems and to detect any relation between diversity and accuracy in ensemble …

… method compared to the existing state-of-the-art techniques … tree ensemble model to predict
student’s career choice y ^ ; … types of features into the classification algorithm so that we can …

… an incremental ensemble consisting of three classifiers (naive … voting scheme to predict the
career of students. Kotsiantis et … PR An incremental ensemble of classifiers as a technique for …

… , this work combines incremental ML classifiers using the ensemble method. The … incremental
ensemble of classifiers as a technique to predict student career choices through ensemble …

… classification and forecast techniques are used in this study to facilitate prospective students
to make sensible career … Incremental ensemble techniques to predict students' career …

… Incremental learning techniques manage the past expertise to take … Techniques used
decision tree, instance-based classifier and naïve … , Ensemble-based Progressive Prediction. …

… ensemble classification methods based on bagging, boosting, stacking, and voting for successful
predictions… voting-based classifier ensemble that integrates incremental versions of the …

… a classification model of graduate employment choice. In this … different feature sets in an
incremental way and obtain the … (RF) [29] is an ensemble machine learning method that uses …

… to develop an algorithm with incremental learning to mine data … is the use of ensemble learning
algorithms, one of them being … part of this technique, other classification methods such as …

… A comparative study of classification techniques to predict … , which increment model
transparency) [9]. We apply SHAP values on student data to explain how ensemble methods predict …