Table 3 Accuracy for three datasets and different models, standard RF, balanced RF, and RF+SMOTE on the augmented dataset.

From: Combined machine learning - 3D physics based approach for building damage evaluation: the case of L’Aquila 2009

Dataset

Acc-std (RF)

Acc-std (BRF)

Acc-std (RF+SMOTE)

DS1

0.555-0.027

0.534-0.026

0.614-0.030

DS2

0.738-0.020

0.731-0.022

0.829-0.021

DS3

0.728-0.020

0.697-0.025

0.784-0.025

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