|
| Study | Preprocessing approach | Algorithm | Significance |
|
| Guldogan et al. [16] | Missing data deleted | Multilayer perceptron (MLP) and radial basis function (RBF) | MLP giving an accuracy of 78.1% |
| Alam et al. [17] | Median value imputation | ANN, random forest, K-means clustering | ANN giving an accuracy of 75.7% |
| Wang et al. [18] | naïve Bayes imputation, ADASYN oversampling | Random forest | 87.10% accuracy |
| Sarwar et al. [19] | Method details not stated | K-nearest neighbors, naïve Bayes, support vector machine, decision tree, logistic regression, random forest | K-nearest neighbors and support vector machine giving accuracy 77% |
| Woldemichael and Menaria [20] | Mean value imputation | Backpropagation, support vector machine, J48, naïve Bayes | Backpropagation giving an accuracy of 83.11% |
| Sisodia and Sisodia [21] | Method details not stated | Decision tree, support vector machine, naïve Bayes | Naïve Bayes giving an accuracy of 76.30% |
| Wu et al. [22] | Mean value imputation | K-means + logistic regression | 95.42% accuracy |
| Komi et al. [13] | Method details not stated | Gaussian mixture model, support vector machine, logistic regression, extreme learning machine, ANN | ANN giving an accuracy of 89.0% |
| AlThunayan et al. [15] | Method details not stated | Bayesian, naïve Bayes, J48, random tree, random forest, REP tree, FT tree, CART, SMO | Random forest giving an accuracy of 84.11% |
| Vaishali et al. [23] | Missing data kept unchanged | Naïve Bayes, J48, MLP, MOE fuzzy classifier | MOE fuzzy giving accuracy of 83.04% |
| Geman et al. [24] | Missing data kept unchanged | Hybrid adaptive neural network | 84.27% accuracy |
| Ramesh et al. [25] | Missing data kept unchanged | Recurrent deep neural Network (RNN) | 0.145 error rate |
| Soltani and Jafarian [14] | Missing data kept unchanged | ANN types: PNN, MLP, RBF, GRNN | PNN giving an accuracy of 81.49% |
| Ahmad et al. [2] | Mean value imputation | MLP, ID3, J48 | J48 giving an accuracy of 89.3% |
| AlJarullah [11] | Missing data deleted | J48 | 78.17% accuracy |
| Marcano-Cedeño et al. [26] | Missing data deleted | Artificial metaplasticity on multilayer perceptron algorithm (AMMLP) | 89.93% accuracy |
| Patil et al. [3] | Missing data deleted | K-means + C4.5 | 92.38% accuracy |
| Lekkas and Mikhailov [27] | Missing data deleted | Rule-based fuzzy classification | 79.37% accuracy |
| Kahramanli and Allahverdi [28] | Method details not stated | ANN + fuzzy neural network | 84.24% accuracy |
| Han et al. [29] | Missing data deleted | ID3, decision tree | ID3 giving an accuracy of 80.0% |
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