Data analytic engineering and its application in earthquake engineering: An overview

Earthquake Damage Prediction Using Random Forest and Gradient Boosting Classifier

“…Daniel Weijie Loi et al [8] (2014) reported about the challenges in using earthquake data interpretation regression models. The report briefs out the critical mistakes between the expected data and the field data.…”

“…In this research, we have used dataset given by driven data [19], performed EDA using Tableau [12], and finally developed a machine learning model that is capable of predicting the damage grade severity to the buildings caused by the earthquake [1,2,4,9,16,17]. The models can also be used for forecasting the damage level to the buildings to a certain extent [6,8,20]. The performance of the models was measured using F1-Score [11].…”