From: Predicting academic success in higher education: literature review and best practices
Ref | Algorithms Used | Model | Sample Size | Best Accuracy | Software |
---|---|---|---|---|---|
(Mueen et al., 2016) | NB; NN; C4.5. | [C] | 60 | NB-86% | WEKA |
(Mohamed & Waguih, 2017) | J48; Rep Tree; RT | [C] | 8080 | J48–85.6% | WEKA |
(Sivasakthi, 2017) | SMO; NB; J48; NN; REPTree. | [C] | 300 | MLP-93% | WEKA |
(Putpuek et al., 2018) | ID3; C4.5; KNN; NB | [C] | – | NB-43.18% | RapidMiner |
(Garg, 2018) | C4.5 | [C] | 400 | – | WEKA |
(Yassein et al., 2017) | C4.5 | [C][CC] | 150 | – | Clementine |
(Almarabeh, 2017) | NB; BN; ID3; J48; NN | [C] | 255 | NB-93% | WEKA |