Table 8.
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