Table 2 The mean accuracy and standard deviation of fivefold cross-validation of the machine learning models
Machine learning models | Mean accuracy (Std. Dev.) (%) |
|---|---|
Artificial Neural Network (ANN) | 87.55 (7) |
Support Vector Machine (SVM) | 90.74 (7) |
Gaussian Process (GP) | 85.70 (4) |
AdaBoost (AB) | 59.24 (30) |
Naïve Bayes (NB) | 67.44 (18) |
Quadratic Discriminant Analysis (QDA) | 78.12 (5) |
Gradient Boosting (GB) | 62.82 (23) |
k-Nearest-Neighbor (KNN) | 84.86 (3) |
Random Forest (RF) | 82.51 (9) |
Decision Tree (DT) | 30.43 (23) |