Table 15 Detailed analysis of the neural network model with optimal equal width binning and SMOTE oversampling
True D | True C | True F | True A | True B | Class precision | |
|---|---|---|---|---|---|---|
Pred. D | 52 | 10 | 3 | 0 | 4 | 75.36% |
Pred. C | 10 | 50 | 6 | 0 | 11 | 64.94% |
Pred. F | 10 | 4 | 59 | 0 | 0 | 80.82% |
Pred. A | 0 | 0 | 1 | 57 | 8 | 86.36% |
Pred. B | 0 | 8 | 1 | 13 | 53 | 70.67% |
Class recall | 72.22% | 69.44% | 84.29% | 81.43% | 69.74% | |
F-measure | 73.75% | 67.11% | 82.51% | 83.82% | 70.20% |