Research Article
[Retracted] An Effective Approach for Human Activity Classification Using Feature Fusion and Machine Learning Methods
Table 2
Classification results of experiment 1 with all possible values.
| Weizmann | KTH | Method | (%) | (%) | (%) | (%) | (%) | (%) | (%) | (%) |
| Linear-SVM | 98.8 | 99.7 | 98.52 | 98.8 | 99.85 | 99.95 | 99.03 | 99.8 | Cubic-SVM | 98.84 | 99.81 | 98.98 | 99.3 | 99.8 | 99.94 | 99.09 | 99.7 | Complex tree | 85.92 | 97.33 | 86.06 | 89.0 | 98.26 | 99.67 | 97.77 | 98.4 | Fine-KNN | 98.99 | 99.78 | 99.23 | 99.0 | 99.77 | 99.91 | 99.75 | 99.6 | Subspace-KNN | 90.3 | 98.30 | 91.7 | 93.3 | 99.86 | 99.96 | 99.74 | 99.8 |
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