Table 8.
Machine learning algorithms and model evaluation attributes
| Reference | Machine learning algorithm | Model evaluation attributes |
|---|---|---|
| [11] | NA | p value |
| [12] | NA | p value |
| [13] | NA | p value |
| [14] | MLP | CA |
| [15] | SVM | CA |
| [16] | SVM | CA |
| [17] | SVM, MLP | NA |
| [35] | NA | NA |
| [18] | SVM, QDA, k-NN | NA |
| [19] | k-NN, SVM | NA |
| [21] | NA | p value |
| [20] | k-NN, SVM | NA |
| [36] | NA | NA |
| [22] | SVM | NA |
| [23] | K-nn, SVM and MLP | CA |
| [24] | SVM, HMM | CA |
| [25] | NA | NA |
| [26] | NA | p value |
| [27, 28] | NA | p value |
| [29] | k-NN,LDA | CA |
| [30] | NA | p value |
CA classification accuracy, MLP multi-level perception, SVM support vector machine, k-NN K-nearest neighbour, LDA linear discriminant analysis, QDA quadratic discriminant analysis, HMM hidden Markov level