Supervised Machine Learning Paradigms Approach for Predicting the Work Loyalty of Generation Z: Comparative Analysis

Abstract:

in this paper we examine the possibility of predicting the level of loyalty of the Z generation group of employees based on the traditional employee system. As an input, we use survey data. A monte Carlo Cross Validation technique is used to validate prediction level. We used a range of popular classification techniques for testing. including Support Vector Machine (SVM), k-Nearest Neighbors algorithm (KNN), naïve Bayes, decision tree, random forests and discretized logistic regression. 

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