Optimising employee performance prediction using machine learning with genetic algorithm-based feature selection

Key Points

• Enhancing predictive modeling leads to a significant increase in employee performance evaluation accuracy.
• Key evidence showed a noticeable improvement in accuracy with machine learning techniques applied to feature selection.
• Analysis used a robust approach combining genetic algorithms for feature selection to streamline predictive tasks.
• Implication highlights potential for improved strategies in workforce management; further application needed in diverse industries.

Abstract