Vol. 4 No. 3 (2022), Articles
Vol. 4 No. 3 (2022)

A Comparative Analysis of Prediction of Student Results Using Decision Trees and Random Forest

Articles
Published 01-08-2022
Narayan Prasad Dahal
Nepal Open University, Lalitpur, Nepal
Subarna Shakya
Pulchowk Campus, Institute of Engineering, Tribhuvan University, Lalitpur, Nepal
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Keywords

Data mining
decision tree
random forest

How to Cite

Dahal, Narayan Prasad, and Subarna Shakya. 2022. “A Comparative Analysis of Prediction of Student Results Using Decision Trees and Random Forest”. Journal of Trends in Computer Science and Smart Technology 4 (3): 113-25. https://doi.org/10.36548/jtcsst.2022.3.001.
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Abstract

Many types of research are based on students' past data for predicting their performance. A lot of data mining techniques for analyzing the data have been used so far. This research project predicts the higher secondary students' results based on their academic background, family details, and previous examination results using three decision tree algorithms: ID3, C4.5 (J48), and CART (Classification and Regression Tree) with other classification algorithms: Random Forest (RF), K-nearest Neighbors (KNN), Support Vector Machine (SVM) and Artificial Neural Network (ANN). The research project analyzes the performance and accuracy based on the results obtained. It also identifies some common differences based on achieved output and previous research work.

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References

Hssina, Badr, Abdelkarim Merbouha, Hanane Ezzikouri, and Mohammed Erritali. "A comparative study of decision tree ID3 and C4. 5." International Journal of Advanced Computer Science and Applications 4, no. 2 (2014): 13-19.

Yadav, Surjeet Kumar, Brijesh Bharadwaj, and Saurabh Pal. "Data mining applications: A comparative study for predicting student's performance." arXiv preprint arXiv:1202.4815 (2012).

Yadav, Surjeet Kumar, and Saurabh Pal. "Data mining: A prediction for performance improvement of engineering students using classification." arXiv preprint arXiv:1203.3832 (2012).

Aksu, Gökhan, and Nuri Dogan. "Comparison of Decision Trees Used in Data Mining= Veri madenciliginde kullanilan karar agaçlarinin karsilastirilmasi." Pegem Journal of Education and Instruction 9, no. 4 (2019): 1183-1208.

Singh, N. P., and Nakul Gupta. "Comparative analysis of data mining models for classification for small data set." In 2018 IEEE 12th International Conference on Application of Information and Communication Technologies (AICT), pp. 1-5. IEEE, 2018.

Uddin, Shahadat, Arif Khan, Md Ekramul Hossain, and Mohammad Ali Moni. "Comparing different supervised machine learning algorithms for disease prediction." BMC medical informatics and decision making 19, no. 1 (2019): 1-16.