Research Article
Verification of Classification Model and Dendritic Neuron Model Based on Machine Learning
Table 8
Average accuracy, standard deviation, average MSE, and corresponding optimal parameters of each learning algorithm in different datasets.
| | Learning algorithm | Datasets | M | k | ks | θs | Average accuracy (%) ± standard deviation | Average MSE |
| | BP | Banknote authentication | 5 | 5 | 1 | 0.1 | 96.93 ± 2.05 | 3.33E − 02 | | Breast cancer | 20 | 10 | 5 | 0.3 | 89.84 ± 3.13 | 4.46E − 02 | | Car evaluation | 15 | 5 | 1 | 0.1 | 98.31 ± 1.03 | 2.80E − 02 | | Diabetic retinopathy | 20 | 10 | 5 | 0.3 | 66.32 ± 23.63 | 1.13E − 01 |
| | BBO | Banknote authentication | 20 | 15 | 15 | 0.5 | 99.43 ± 0.39 | 3.44E − 07 | | Breast cancer | 20 | 10 | 5 | 0.3 | 95.97 ± 1.42 | 1.94E − 02 | | Car evaluation | 20 | 15 | 15 | 0.5 | 99.43 ± 0.39 | 3.44E − 07 | | Diabetic retinopathy | 15 | 5 | 1 | 0.1 | 94.85 ± 1.75 | 5.18E − 02 |
| | PSO | Banknote authentication | 20 | 1 | 25 | 0.9 | 98.79 ± 0.75 | 2.76E − 03 | | Breast cancer | 20 | 1 | 25 | 0.9 | 95.24 ± 1.64 | 4.13E − 02 | | Car evaluation | 20 | 1 | 25 | 0.9 | 98.79 ± 0.75 | 2.76E − 03 | | Diabetic retinopathy | 15 | 5 | 1 | 0.1 | 88.72 ± 3.84 | 1.57E − 01 |
| | GA | Banknote authentication | 10 | 20 | 15 | 0.7 | 94.89 ± 2.03 | 7.82E − 02 | | Breast cancer | 20 | 15 | 15 | 0.5 | 95.22 ± 1.52 | 5.54E − 02 | | Car evaluation | 10 | 20 | 15 | 0.7 | 94.90 ± 2.03 | 7.82E − 02 | | Diabetic retinopathy | 15 | 5 | 1 | 0.1 | 85.64 ± 3.08 | 1.86E − 01 |
| | PBIL | Banknote authentication | 5 | 1 | 25 | 0.9 | 94.09 ± 1.74 | 9.72E − 02 | | Breast cancer | 20 | 1 | 25 | 0.9 | 94.30 ± 1.27 | 7.41E − 02 | | Car evaluation | 5 | 15 | 15 | 0.5 | 94.09 ± 1.74 | 9.72E − 02 | | Diabetic retinopathy | 15 | 5 | 1 | 0.1 | 84.21 ± 3.22 | 2.07E − 01 |
| | CSO | Banknote authentication | 20 | 1 | 25 | 0.9 | 98.91 ± 0.66 | 8.98E − 04 | | Breast cancer | 20 | 1 | 25 | 0.9 | 95.49 ± 1.19 | 3.14E − 02 | | Car evaluation | 20 | 1 | 25 | 0.9 | 98.91 ± 0.66 | 8.98E − 04 | | Diabetic retinopathy | 15 | 5 | 1 | 0.1 | 92.22 ± 2.21 | 1.14E − 01 |
| | DE | Banknote authentication | 3 | 15 | 10 | 0.5 | 93.50 ± 1.70 | 1.10E − 01 | | Breast cancer | 3 | 10 | 5 | 0.3 | 94.75 ± 0.81 | 6.86E − 02 | | Car evaluation | 3 | 15 | 10 | 0.5 | 93.50 ± 1.69 | 1.10E − 01 | | Diabetic retinopathy | 15 | 10 | 5 | 0.3 | 90.89 ± 3.72 | 9.31E − 02 |
| | jSO | Banknote authentication | 15 | 1 | 25 | 0.9 | 99.39 ± 0.36 | 6.95E − 04 | | Breast cancer | 3 | 1 | 25 | 0.9 | 95.83 ± 1.21 | 4.36E − 02 | | Car evaluation | 5 | 1 | 25 | 0.9 | 96.49 ± 1.21 | 5.21E − 02 | | Diabetic retinopathy | 20 | 15 | 15 | 0.5 | 86.28 ± 4.90 | 2.00E − 01 |
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