| MLP | RBF | k-NN | RR |
---|
accuracy [%]
| 97,35 | 88,41 | 96,58 | 94,92 |
κ coefficient
| 0,966 | 0,845 | 0,956 | 0,934 |
- These were evaluated using test set (DatasetF_test). The MLP model uses geometric preprocessing with the order k = 1, has 22 hidden neurons with the log-sigmoid transfer function and output neurons use the tan-sigmoid transfer function. The best RBF model uses geometric preprocessing with the order k = 1, has 18 hidden neurons with the spread of 0.15. The optimal value of k in k-NN is 11. In RR, the optimal regularization parameter λ is zero, and the order of the geometric preprocessing expansion k is 6.