In the past, a novel approach for mechanical properties prediction of Jet Grouting (JG) laboratory formulations was proposed. Such approach is supported in advanced statistics analysis, usually known as data mining, and is able to predict with high accuracy the Unconfined Compressive Strength (UCS) and stiffness of JG laboratory formulations. In this paper, the developed model for UCS prediction is updated using new data collected from a new project involving cutter soil mixing technology. This update increased the model applicability domain, particularly in terms of the water/cement ratio, cement content and cement type, keeping the same high performance in UCS prediction of soil-cement laboratory formulations as the old model.