Redistribution of in situ stresses so they exceed rock strength leads to yielding of the intact rock material around a tunnel after excavation, causing large plastic deformations often referred to as ground squeezing. This tunneling problem typically occurs during deep tunneling in weak rock such as shales and weak schists where volumetric dilatancy accompanies the process of rock yield and deterioration. In this article, a decision support system to assist a tunnel engineer in making a decision on tunnel route design, selection of excavation technique or mitigation measures is presented. A support vector machine-based supervised classifier is proposed which employs the Q tunneling index and depth of the tunnel to predict risk of rock squeezing. Performance analysis using extensive field data obtained from several tunnels around the world indicated that the developed system is more accurate than heuristic systems currently in use. The proposed system provides a posterior probability as a support for the decision being made that can be used to assess the acceptability level of the prediction.