Table 6 Classification of optimized original HRV data (D1) with 8 features (GA-3).
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 | 59.8\(\%\) | 59.0\(\%\) | 59.0\(\%\) | 60.0\(\%\) | 0.520 | 0.477 |
LDA | 59.5\(\%\) | 59.0\(\%\) | 59.0\(\%\) | 59.5\(\%\) | 0.510 | 0.103 |
KNN | 98.2\(\%\) | 98.2\(\%\) | 98.0\(\%\) | 98.2\(\%\) | 0.890 | 0.011 |
NB | 59.3\(\%\) | 59.0\(\%\) | 59.0\(\%\) | 59.0\(\%\) | 0.500 | 0.163 |
DT | 98.0\(\%\) | 98.0\(\%\) | 98.0\(\%\) | 98.0\(\%\) | 0.882 | 0.008 |
Bagging | 98.2\(\%\) | 98.2\(\%\) | 98.1\(\%\) | 98.2\(\%\) | 0.889 | 0.006 |
Ada Boost | 66.0\(\%\) | 66.0\(\%\) | 66.0\(\%\) | 66.0\(\%\) | 0.594 | 0.061 |
Grad Boost | 87.0\(\%\) | 87.5\(\%\) | 87.5\(\%\) | 87.5\(\%\) | 0.814 | 0.214 |
RF | 98.4\(\%\) | 98.4\(\%\) | 98.4\(\%\) | 98.4\(\%\) | 0.902 | 0.000 |
