Analysis of Schools Education Quality by Elephant Herd & Neural Network Model

Abstract

In the past few years, governments have introduced different programs to make school work better. Details about these efforts are available in various formats, such as simple statistics and detailed reports. This study will examine data to discover ways to enhance schools. This paper focuses on understanding the characteristics of schools, aiming to identify which ones are crucial for analysis of school grades. Input dataset was pre-processed and privacy preserving steps were involved that increases the security in the model.  Elephant herd algorithm identified school related features that improves the work accuracy. Selected features were used for the training of neural network. It was found that use of effective training feature improves the school grade prediction accuracy of proposed SQAEHO (School Quality Analysis by Elephant Herd Optimization) model, as compared to other existing model.