A Machine Learning Approach For Tracking And Predicting Student The first objective of this study is to test a systematic procedure for implementing artificial neural networks to predict academic performance in higher education. By using rapidminer, analysis report and a prediction model will be easily delivered. the decision tree in the prediction model will help in determining whether student success is influenced by their attendance at school or by their participation and effort in class.
Pdf Predicting Student Performance Using Classification Data Mining Rapidminer is an environment for business analytics, predictive analytics, data mining, text mining, and machine learning. traditional educational systems collect a lot of data about students. the collected data can be used to extract information and experiences. In this article we are comparing different analytical techniques for grouping students based on students’ data in a traditional educational system and finding rules for predicting student status and start program. we are using the rapidminer tool for making this task easier for managers. From the three models, we can see and predict the level of student performance through existing values and the results of the analysis using rapid miner with good accuracy. The results show that the implementation of the model on real student data can effectively predict student performance with an accuracy of 93.1% and an f1 score of 90.45%. with the model’s predicted student performance, educators can provide individualized support and assistance to each student.
Modeling And Predicting Students Academic Performance Using Data From the three models, we can see and predict the level of student performance through existing values and the results of the analysis using rapid miner with good accuracy. The results show that the implementation of the model on real student data can effectively predict student performance with an accuracy of 93.1% and an f1 score of 90.45%. with the model’s predicted student performance, educators can provide individualized support and assistance to each student. Mba project using data mining techniques to predict student outcomes with rapidminer. Students' performance analysis basically consists of determining the factors influencing the performance and how it will give impact towards success. it will help us to understand students' behavior and how to improve their academic. The study directs future researchers to achieve highly accurate prediction results in different scenarios using different available inputs or techniques. the study also helps institutions apply data mining techniques to predict and improve student outcomes by providing additional assistance on time. Educational data mining has turned up as an interesting and useful research area for finding methods to improve quality of education and to identify various patterns in educational settings.
Pdf Predicting Students Performance By Using Data Mining Methods Mba project using data mining techniques to predict student outcomes with rapidminer. Students' performance analysis basically consists of determining the factors influencing the performance and how it will give impact towards success. it will help us to understand students' behavior and how to improve their academic. The study directs future researchers to achieve highly accurate prediction results in different scenarios using different available inputs or techniques. the study also helps institutions apply data mining techniques to predict and improve student outcomes by providing additional assistance on time. Educational data mining has turned up as an interesting and useful research area for finding methods to improve quality of education and to identify various patterns in educational settings.
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