Method | Age Groups | Precision | Recall | F1-Score | Accuracy |
---|---|---|---|---|---|
Logistic Regression with SMOTEa | a | 0.50 | 0.56 | 0.53 | 0.36 |
b | 0.28 | 0.31 | 0.29 | ||
c | 0.29 | 0.10 | 0.15 | ||
d | 0.33 | 0.50 | 0.40 | ||
Multi-layer Perceptron with SMOTE | a | 0.48 | 0.61 | 0.54 | 0.38 |
b | 0.27 | 0.25 | 0.26 | ||
c | 0.29 | 0.10 | 0.15 | ||
d | 0.37 | 0.56 | 0.44 | ||
Random Forest with SMOTE | a | 0.65 | 0.83 | 0.73 | 0.57 |
b | 0.60 | 0.56 | 0.58 | ||
c | 0.38 | 0.25 | 0.30 | ||
d | 0.57 | 0.67 | 0.62 | ||
Deep Learning without SMOTE | a | 0.40 | 1.00 | 0.57 | 0.37 |
b | 0.25 | 0.33 | 0.29 | ||
c | 0.57 | 0.32 | 0.41 | ||
d | 0.14 | 0.12 | 0.13 | ||
Deep Learning with SMOTE | a | 0.59 | 0.87 | 0.70 | 0.62 |
b | 0.50 | 0.47 | 0.48 | ||
c | 0.46 | 0.38 | 0.41 | ||
d | 0.84 | 0.75 | 0.80 | ||
GADNNb with SMOTE | a | 0.76 | 0.89 | 0.82 | 0.68 |
b | 0.67 | 0.67 | 0.67 | ||
c | 0.44 | 0.50 | 0.47 | ||
d | 0.83 | 0.65 | 0.73 |