Skip to main content
. 2022 Mar 19;2022:1820777. doi: 10.1155/2022/1820777

Table 3.

The performance of applying regular ML models and DL model with selected features by correlation matrix.

Approaches Model CV performance Testing performance
AC PR RE FM AC PR RE FM
Regular ML approach DT 94.4 94.98 94.51 94.56 92.11 92.11 92.11 92.1
KNN 89.85 90.63 89.85 89.51 86.67 87.4 86.67 86.17
NB 81.84 82.38 81.84 81.01 83.68 84.33 83.68 83.0
RF 97.01 96.74 96.75 96.68 94.04 94.05 94.04 94.03
SVM 94.73 94.94 94.73 94.66 93.86 93.85 93.86 93.84

DL approach The optimized deep RNN 97.92 97.77 97.79 97.78 95.18 95.44 95.18 95.21