Algorithm | Classification performance | Running | Walking | Digging | Motionless | Weighted average |
---|---|---|---|---|---|---|
Three nearest neighbours | Accuracy | 98.18 | 96.82 | 97.12 | 97.58 | 97.53 |
Precision | 95.27 | 91.34 | *80.00 | 98.21 | 94.90 | |
Recall | 96.58 | 92.06 | 81.63 | 97.05 | 94.85 | |
Linear support-vector machine | Accuracy | 96.36 | 95.30 | 94.39 | 96.67 | 96.17 |
Precision | 93.57 | 87.40 | *60.00 | 97.60 | 91.97 | |
Recall | 89.73 | 88.10 | 73.47 | 95.87 | 91.36 | |
Radial basis function kernel SVM | Accuracy | 97.12 | 96.82 | 96.67 | 96.97 | 96.95 |
Precision | 93.79 | 92.68 | *75.47 | 97.05 | 93.89 | |
Recall | 93.15 | 90.48 | 81.63 | 97.05 | 93.79 | |
Decision tree | Accuracy | 97.27 | 96.21 | 95.15 | 97.42 | 96.99 |
Precision | 93.84 | 90.40 | *64.41 | 98.79 | 93.54 | |
Recall | 93.84 | 89.68 | 77.55 | 96.17 | 93.03 | |
Random forest | Accuracy | 97.58 | 96.67 | 97.73 | 98.03 | 97.65 |
Precision | 92.76 | 90.63 | *92.50 | 97.94 | 95.00 | |
Recall | 96.58 | 92.06 | 75.51 | 98.23 | 95.00 | |
Gaussian Naïve Bayes | Accuracy | 97.73 | 96.82 | 95.61 | 97.73 | 97.40 |
Precision | 93.38 | 98.17 | *65.15 | 98.50 | 94.83 | |
Recall | 96.58 | 84.92 | 87.76 | 97.05 | 93.94 | |
Linear discriminant analysis | Accuracy | 98.33 | 95.91 | 95.45 | 97.88 | 97.42 |
Precision | 97.20 | 88.37 | *67.27 | 98.80 | 94.11 | |
Recall | 95.21 | 90.48 | 75.51 | 97.05 | 93.79 | |
Artificial neural network | Accuracy | 97.42 | 96.52 | 96.82 | 97.42 | 97.21 |
Precision | 93.88 | 89.92 | *81.82 | 97.35 | 94.01 | |
Recall | 94.52 | 92.06 | 73.47 | 97.64 | 94.09 |