Table 10 Classification of optimized ADASYN HRV data (D3) 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 | 62.0\(\%\) | 63.5\(\%\) | 63.0\(\%\) | 63.0\(\%\) | 0.509 | 0.164 |
LDA | 63.5\(\%\) | 64.0\(\%\) | 64.0\(\%\) | 64.0\(\%\) | 0.531 | 0.151 |
KNN | 99.0\(\%\) | 99.0\(\%\) | 99.0\(\%\) | 99.0\(\%\) | 0.890 | 0.002 |
NB | 52.0\(\%\) | 52.0\(\%\) | 52.0\(\%\) | 52.0\(\%\) | 0.431 | 0.128 |
DT | 99.0\(\%\) | 99.0\(\%\) | 99.0\(\%\) | 99.0\(\%\) | 0.898 | 0.011 |
Bagging | 99.5\(\%\) | 99.4\(\%\) | 99.5\(\%\) | 99.4\(\%\) | 91.1 | 0.001 |
Ada Boost | 69.0\(\%\) | 69.5\(\%\) | 69.5\(\%\) | 69.5\(\%\) | 59.6 | 0.973 |
Grad Boost | 91.5\(\%\) | 92.0\(\%\) | 91.5\(\%\) | 92.0\(\%\) | 0.805 | 0.251 |
RF | 99.7\(\%\) | 99.8\(\%\) | 99.8\(\%\) | 99.8\(\%\) | 0.919 | 0.000 |
