Admission Prediction for Universities Using Decision Tree Algorithm and Support Vector Machine
摘要
Nowadays, educational institutions rely on data analytics, probability models, and a few weighted combination models to forecast which universities students are likely to gain admission to, especially prestigious institutions like IITs. The admission process considers various factors such as school scores and performance in competitive exams. Numerous machine learning algorithms have been developed to aid in admission predictions. In this study, decision tree and support vector machine algorithms were used to predict which universities students are likely to be accepted to based on the previous year's data analysis. We also discussed the accuracy of both models.