… learning techniques and how the prediction algorithm can be … is the most used classifier for
predicting students’ academic … the proposed ensemble model Decision tree (J48) classifier …

… real-life projects that can help students get a clear idea about … ensemble voting classifier
and boosting techniques on our … a predictive model (classifier) to predict if a credit card user is …

… embark on long-term and incremental career paths. As such, … ensemble classifiers to create
a new classification model, which they used for forecasting the academic success of students…

… set is fitted into the classifier and predictions are made. The … After getting the predictions,
accuracy given by SVM, Decision … professional career prediction and recommendation method …

… the students for on-time graduation [10]. The hybrid classification and ensemble techniques
… The research has incrementally predicted the values using values of K from 1 till 40 and …

… vital classifiers were used to predict career accuracy rate of students. C4.5 algorithm
generated the highest accuracy of 86%. An incremental ensemble classification technique was …

… It uses voting ensemble classifier for effective predictions. With … used along with clickers
for incremental improvement [37]. … learning classification models and data mining techniques …

… Selection Algorithm (AFSA) by amalgamating an ensemble … feature selection algorithm
using five machine learning classifiers: … Forward Selection (FS) incrementally builds the feature …

… Decision Forest and is an ensemble method for classification, … classifiers in this study, are
utilized to forecast a student's … are classified using psychometric exams and the Incremental …

… different data mining techniques for extracting relevant … one-versus-all (for binary
classification). As a case study, the … student dropout prediction in Thai University using ensemble …