Karpagam JCS ISSN: 2582 – 8525 (Print), 2583 – 3669 (Online)

A Review On Explainable ML-Based Approach For Skill Based Employment Prediction

Abstract
modern era of Higher education, skill based education is very important for a student to get a better employment in IT industry. IT industry provides different types of employment opportunity for students based on their skill. Early prediction of the skill of a student will help them to provide a skill based training adequate for current needs of the IT industry. Skill based Employability Prediction is not enough for giving proper training for students. Therefore, to make a judgment on machine learning systems, prediction alone insufficient and explain ability also needed. The use of explainability Machine Learning (Explainable ML) model is to increase transparency. This survey shows different machine learning algorithms used in prediction and the importance of explainability in employability predictions. It also focuses how to build an Explainable ML model for skill based employment prediction of Computer Science Learners for future possible research.

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