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Определение технического состояния конструкций зданий с использованием нейро‑нечёткой логики
Table 1 - Accuracy on the test set
Model | Accuracy on the test set, % | Prediction confidence |
Random Forest | 70 to 76 | 0.6 to 0.86, rarely decreased to 0.48 |
AutoGluon | 76 to 80 | 0.6 to 0.9, rarely decreased to 0.45 |
Neuro-fuzzy logic | 80 to 88 | 0.80 to 0.99, rarely decreased to 0.6 |