SSI Estimation

The dataset used in this study was collected from the well-known sources such as laboratory investigation, numerical simulation and academic tools. Main parameters were related to the soil (depth,density,cohesion,porosity,Bib percentage) and to the structure (load andgeometric characteristic ofthe foundation n). The data cleaning pipeline started with handling missing values by using a suitable imputation method, mostly meant or median owing to the distribution of variables. Furthermore, in detection of the outliers, IQR method was implemented to remove the observations that was inconsistent or not typical as normal conditions and create a bias on training model.