Notably, the dataset for creating the info-driven equipment Understanding model comprises two,820 observations. To guarantee a strong train and Test, 90% of dataset were being allocated for the schooling and validation. This allocation was carried out using k-fold cross-validation, specifically with five folds, to reinforce the model’s reliability and waiting for link from Forum Profiles (11)