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. 2021 Oct 20;21(21):6962. doi: 10.3390/s21216962

Table 3.

Recognition performance on the Accelerometer dataset.

Model NB NB-NB NB-KNN NB-SVM NB-DT KNN KNN-NB KNN-KNN KNN-SVM KNN-DT
Accuracy 81.07 81.07 83.98 91.48 84.56 84.32 81.41 84.32 91.89 85.04
Precision 80.38 80.38 83.72 91.50 84.29 84.03 80.70 84.03 91.88 84.73
Recall 82.63 82.63 84.19 91.72 84.58 84.55 82.85 84.55 92.16 85.08
F1 81.49 81.49 83.95 91.61 84.44 84.29 81.76 84.29 92.02 84.90
Model SVM SVM-NB SVM-KNN SVM-SVM SVM-DT DT DT-NB DT-KNN DT-SVM DT-DT
Accuracy 91.89 81.34 84.32 91.89 84.97 84.93 81.57 84.32 91.96 85.14
Precision 91.87 80.64 84.03 91.88 84.67 84.63 80.87 84.03 91.95 84.82
Recall 92.16 82.77 84.55 92.16 85.01 84.99 83.03 84.58 92.24 85.19
F1 92.02 81.69 84.29 92.02 84.84 84.81 81.94 84.30 92.09 85.01