Research Article
Feature Selections Using Minimal Redundancy Maximal Relevance Algorithm for Human Activity Recognition in Smart Home Environments
Table 6
Comparison results of TARARs under two mRMR evaluation criteria (D-R and D/R).
| Features subset | Classifier | Criterion | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
| NB | D-R | 0.535 | 0.695 | 0.870 | 0.870 | 0.870 | 0.890 | 0.885 | 0.902 | 0.903 | 0.900 | 0.898 | 0.903 | 0.903 | D/R | 0.535 | 0.695 | 0.870 | 0.870 | 0.870 | 0.880 | 0.877 | 0.892 | 0.888 | 0.887 | 0.903 | 0.903 | 0.903 | HMM | D-R | 0.170 | 0.255 | 0.447 | 0.523 | 0.638 | 0.745 | 0.770 | 0.832 | 0.837 | 0.873 | 0.872 | 0.878 | 0.880 | D/R | 0.170 | 0.255 | 0.447 | 0.523 | 0.638 | 0.747 | 0.768 | 0.817 | 0.837 | 0.858 | 0.853 | 0.878 | 0.880 |
|
|