Prediction of Different Learning Habit among Students using Data Mining Algorithms
| Main Authors: | Jincy Mathew, Gloriya Mathew |
|---|---|
| Format: | Proceeding Journal |
| Terbitan: |
Amal Jyothi College of Engineering
, 2021
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/5105487 |
Daftar Isi:
- Abstract—Education is really important. Data mining is useful for forecasting a student's academic achievement. This study focuses on identifying distinct learning habits among students and using data mining algorithms to predict academic success, leading to the prediction of the optimum learning habit. The use of Naive Bayes, J48 employing WEKA as an Open Source Tool is used to predict learning habits. A comparison is also done between these two classifiers in order to estimate accuracy and identify the best learning habits among them.