Utilizing Machine Learning-Based Algorithms to Predict Student’s Future

Technologies are undeniably exerting a significant influence on global education. The utilization of planning and prediction as a strategic approach is widely regarded as an optimal technique for anticipating and preparing for future events and circumstances. In developing nations such as India, it is observed that students exhibit a wide range of diversities, encompassing various challenges stemming from factors such as geographical location, family background, parental education, and gender, among others. In the contemporary era, the utilization of machine learning techniques has enabled researchers to make predictions about the future trajectories of students. The selection of educational pursuits not only aids individuals in determining their preferred areas of study but also assists parents in making informed decisions regarding educational institutions. In this research study, a novel machine learning-based model has been introduced with the aim of predicting the future outcomes of students and assessing parental satisfaction. Three test cases were conducted to evaluate the performance of three algorithms, each with varying percentages of training data.