… using ensemble learning for prediction of a suitable job career in … Machine Learning
algorithms that are applied on the dataset. The results predict that the random forest algorithm is the …

… intentions using a machine learning algorithm ensemble. The … The framework utilized in
this study could be applied and … how students would engage with their chosen career path. …

… predict the career of students. Kotsiantis et al. [21] applied the ensemble methods to predict
… between the proposed ensemble model and several popular ensemble algorithms, including …

… To achieve our goal, various data mining techniques were applied on the data set to extract
… DT is the most popular technique amongst machine learning algorithms. It is used to create …

… factor placement predictions as a part of the proposed career … In the ensembling technique,
the model creates an ensemble … Machine learning is the application of artificial intelligence …

… pay, recognition and career development opportunities, among … ensemble models combining
the most promising algorithms … For the IBM HR dataset, we have applied the following …

… the application of ensemble machine learning algorithms in predicting employee turnover. …
and performance evaluation to career development and learning programs. This paper …

… theoretical algorithm application on predictive analytics that … predicted output were included.
Publications on optimization … predictions can be utilized to provide employees with career …

… Though several studies have shown that the accuracy of the various predictions made
throughout the life of the project significantly determines the success or failure of the project, …

… classification algorithms to build an ensemble prediction model … Regarding the methods
applied in the studies, it is worth … knowledge using intuitive ensemble machine learning-based …