• Tejashree U. Sawant
• Dr. Urmila R. Pol
• Dr. Pratibha S. Patankar

This paper focused on developing student placement prediction model in higher education. As placement activity is very much important in university point of view as well as student point of view. In this regard to improve the student’s performance for placement a work has been analyzed and predicted using the gradient boosted algorithm. A model is proposed with gradient boosted tree algorithm to predict the placement chance of students. From the results obtained it is found that the proposed algorithm has 100% accuracy in predicting the placement opportunity. Our future work would to implement other data mining algorithms and compare the algorithm performance metrics to find the best data mining algorithm for prediction of student placement in higher education and also to deploy the best developed model.

Placement, Performance, prediction model, Educational data mining, gradient boost tree

"STUDENT PLACEMENT PREDICTION MODEL USING GRADIENT BOOSTED TREE ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.489-499, May-2019, Available :http://www.jetir.org/papers/JETIR1905N73.pdf

"STUDENT PLACEMENT PREDICTION MODEL USING GRADIENT BOOSTED TREE ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp489-499, May-2019, Available at : http://www.jetir.org/papers/JETIR1905N73.pdf