Artificial Neural Network Architecture Tuning Algorithm
Table 3: Test results on Phoneme dataset
Dataset | Backpropagation | «Keras» | NN architecture tuning algorithm | |
Accuracy | Architecture | |||
Iris | 0.950 | 0.899 | 0.999 | 1 n.l. 8 n.n. – ‘S’ |
Phoneme | 0.819 | 0.802 | 0.802 | 1 n.l. 7 n.n. – ‘S’2 n.l. 5 n.n. – ‘R’ |
Titanic | 0.768 | 0.768 | 0.759 | 1 n.l. 10 n.n. – ‘S’ |
Вanknote authentication | 0.888 | 0.869 | 0.923 | 1 n.l. 11 n.n. – ‘R’ |
Ionosphere | 0.980 | 0.899 | 0.943 | 1 n.l. 17 n.n. – ‘S’ |