Machine learning approaches for predicting the structural number of flexible pavements based on subgrade soil properties

The primary objective of this study is to develop and evaluate four machine learning algorithms namely random forest, extreme gradient boosting, gradient boosting, and K nearest neighbors for predicting the total structural number of flexible…