Publisher
Springer International Publishing
Reference16 articles.
1. Aulck, L., Velagapudi, N., Blumenstock, J., West, J.: Predicting student dropout in higher education. In: 2016 ICML Workshops #Data4Good Machine Learning, New York, vol. abs/1606.06364, pp. 16–20 (2016)
2. Breiman, L.: Random forests. Mach. Learn. 45(1), 5–32 (2001).
https://doi.org/10.1023/A:1010933404324
3. Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. (TIST) 2(3), 27 (2011)
4. Freeman, E.A., Moisen, G.G.: A comparison of the performance of threshold criteria for binary classification in terms of predicted prevalence and kappa. Ecol. Modell. 217(1–2), 48–58 (2008)
5. Hellas, A., et al..: Predicting academic performance: a systematic literature review. In: Proceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, pp. 175–199. ACM (2018)
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