Machine Learning Algorithms based Student Performance Prediction based on Previous Records

Predicting a student's grade has become increasingly important in order to determine whether or not the student will be placed In order to develop after this and obtain better placements, it is also being attempted to ascertain the student performance. Based on their recent and prior performances, the prediction will be made. The major goal is to improve the student unsatisfactory performances so that they can improve their academic performance. Here, some of the factors are derived from academics and others from placement exams. Therefore, using these factors, the predictor will determine whether or not the student will be hired by the company. The biggest problem in this situation is deciding which algorithm to utilize because there are numerous classification algorithm strategies that can be applied Based on the dataset, different algorithms produce different degrees of accuracy. The algorithms used in this article are supervised machine learning algorithms called Bayesian classification. It uses a classification method for machine learning. It is a theory that uses probability to identify a fix for the existing issue.