Table 7 Average performance of machine learning algorithms and logistic regression (%)
Author(s) | Prediction | ANN | RF/DT | SVM | NB | J48 | LR |
|---|---|---|---|---|---|---|---|
Acikkar and Akay (2009) | a) | – | – | 93.8 | – | – | – |
Bahadır (2016) | b) | 93.0 | – | – | – | – | 90.8 |
Delen (2010) | c) | 86.5 | 87.2 | 87.2 | – | – | 86.1 |
Delen (2011) | c) | 81.2 | 78.3 | – | – | – | 74.3 |
Hussain, Zhu, Zhang, and Abidi (2018) | d) | – | 85.9 | – | 82.9 | 88.5 | – |
Oztekin (2016) | c) | 71.6 | 73.8 | 77.6 | – | – | – |
Sreenivasa Rao, Swapna, and Praveen Kumar (2018) | a) | – | 100.0 | – | 61.1 | 88.9 | – |
Teshnizi et al. (2015) | c) | 84.3 | – | – | – | – | 77.5 |