Table 5 Classification of ADASYN-generated augmented HRV data with 34 features (D3).
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 | 63.0\(\%\) | 63.0\(\%\) | 63.0\(\%\) | 63.0\(\%\) | 0.550 | 0.360 |
LDA | 63.8\(\%\) | 63.8\(\%\) | 63.8\(\%\) | 63.8\(\%\) | 0.585 | 0.152 |
KNN | 99.0\(\%\) | 99.0\(\%\) | 99.0\(\%\) | 99.0\(\%\) | 0.901 | 0.033 |
NB | 51.0\(\%\) | 51.0\(\%\) | 51.0\(\%\) | 51.0\(\%\) | 0.480 | 0.117 |
DT | 99.2\(\%\) | 99.0\(\%\) | 99.3\(\%\) | 99.0\(\%\) | 0.908 | 0.008 |
Bagging | 99.2\(\%\) | 99.2\(\%\) | 99.2\(\%\) | 99.2\(\%\) | 0.915 | 0.002 |
Ada Boost | 69.4\(\%\) | 69.4\(\%\) | 69.4\(\%\) | 69.4\(\%\) | 0.632 | 0.327 |
Grad Boost | 91.5\(\%\) | 91.5\(\%\) | 91.5\(\%\) | 91.5\(\%\) | 0.869 | 0.189 |
RF | 99.9\(\%\) | 99.9\(\%\) | 99.9\(\%\) | 99.9\(\%\) | 0.930 | 0.000 |
