Student performance Prediction using Ensemble Technique

Students are the future of any country, as the knowledge gained by them is directly proportional to the growth and the success of the country. The students should receive all the benefits and proper attention that they deserve for their growth and development and shape them properly which would also shape their peers as it will motivate them to perform better and hence the development will be better. Machine learning and deep learning algorithms may be used to predict student performance and identify the risky factor the students face as soon as possible so that the proper steps can be taken to improve the performance. can be adopted. Many other techniques have also been carried to get the performance on the various algorithms. The main motive of the paper is to make a unique dataset and then perform the prediction of the student's performance and then measuring it on the scale of accuracy using the different tree based ensemble techniques.