Table 11 Classification of optimized ADASYN HRV data (D3) 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 | 62.0\(\%\) | 63.0\(\%\) | 63.0\(\%\) | 63.0\(\%\) | 0.506 | 0.164 |
LDA | 63.0\(\%\) | 64.0\(\%\) | 64.0\(\%\) | 64.0\(\%\) | 0.536 | 0.152 |
KNN | 99.1\(\%\) | 99.1\(\%\) | 99.1\(\%\) | 99.1\(\%\) | 0.896 | 0.003 |
NB | 52.0\(\%\) | 52.0\(\%\) | 52.0\(\%\) | 52.0\(\%\) | 0.439 | 0.129 |
DT | 99.1\(\%\) | 99.0\(\%\) | 99.1\(\%\) | 99.0\(\%\) | 0.901 | 0.010 |
Bagging | 99.4\(\%\) | 99.4\(\%\) | 99.4\(\%\) | 99.4\(\%\) | 0.906 | 0.001 |
Ada Boost | 70.0\(\%\) | 69.5\(\%\) | 69.5\(\%\) | 69.5\(\%\) | 0.578 | 0.972 |
Grad Boost | 91.5\(\%\) | 92.0\(\%\) | 91.5\(\%\) | 92.0\(\%\) | 0.812 | 0.241 |
RF | 99.8\(\%\) | 99.8\(\%\) | 99.8\(\%\) | 99.8\(\%\) | 0.922 | 0.000 |
