Brittleness plays an important role in assessing the stability of surrounding rock mass deep underground projects. To this end, present study deals with developing a robust evolutionary programming paradigm known as linear genetic (LGP) for estimating brittleness index (BI). In addition, bootstrap aggregate (Bagged) regression tree (BRT) and two efficient lazy machine learning approaches, namel...
