Table 7 Classification of optimized original HRV data (D1) with 10 features (GA-4).
From: Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer
Models | Precision | Recall | F1-score | Mean accuracy | MCC | Standard deviation of Accuracies (\(\%\)) |
|---|---|---|---|---|---|---|
LR | 60.0\(\%\) | 61.0\(\%\) | 61.0\(\%\) | 61.0\(\%\) | 0.525 | 0.126 |
LDA | 59.0\(\%\) | 59.0\(\%\) | 59.0\(\%\) | 59.0\(\%\) | 0.505 | 0.149 |
KNN | 98.1\(\%\) | 98.1\(\%\) | 98.1\(\%\) | 98.1\(\%\) | 0.887 | 0.036 |
NB | 54.0\(\%\) | 54.0\(\%\) | 54.0\(\%\) | 54.0\(\%\) | 0.475 | 0.161 |
DT | 98.0\(\%\) | 98.0\(\%\) | 98.0\(\%\) | 98.0\(\%\) | 0.880 | 0.010 |
Bagging | 98.0\(\%\) | 98.0\(\%\) | 98.0\(\%\) | 98.0\(\%\) | 0.887 | 0.014 |
Ada Boost | 66.0\(\%\) | 66.5\(\%\) | 66.5\(\%\) | 66.5\(\%\) | 0.586 | 0.621 |
Grad Boost | 87.0\(\%\) | 87.0\(\%\) | 87.5\(\%\) | 87.5\(\%\) | 0.820 | 0.209 |
RF | 98.4\(\%\) | 98.4\(\%\) | 98.4\(\%\) | 98.4\(\%\) | 0.908 | 0.000 |
