Table 8 Classification of optimized SMOTE HRV data (D2) 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 | 61.5\(\%\) | 61.5\(\%\) | 61.0\(\%\) | 61.0\(\%\) | 0.530 | 0.165 |
LDA | 64.5\(\%\) | 64.5\(\%\) | 64.0\(\%\) | 64.0\(\%\) | 0.558 | 0.152 |
KNN | 99.1\(\%\) | 99.2\(\%\) | 99.0\(\%\) | 99.0\(\%\) | 0.894 | 0.001 |
NB | 51.0\(\%\) | 51.5\(\%\) | 51.5\(\%\) | 51.5\(\%\) | 0.442 | 0.129 |
DT | 99.0\(\%\) | 99.1\(\%\) | 99.1\(\%\) | 99.0\(\%\) | 0.920 | 0.011 |
Bagging | 99.5\(\%\) | 99.5\(\%\) | 99.5\(\%\) | 99.5\(\%\) | 0.926 | 0.003 |
Ada Boost | 69.0\(\%\) | 69.5\(\%\) | 69.5\(\%\) | 69.5\(\%\) | 0.610 | 0.973 |
Grad Boost | 91.5\(\%\) | 92.0\(\%\) | 91.5\(\%\) | 91.5\(\%\) | 0.836 | 0.232 |
RF | 99.8\(\%\) | 99.6\(\%\) | 99.8\(\%\) | 99.8\(\%\) | 0.930 | 0.000 |
