With the complexity of three-dimensional behaviors and testing limitations of reinforced concrete (RC) members under torsion, exploring torsional mechanisms and predicting torsional performance have long been challenging. Although existing design codes based on the space truss model provide calculation methods, their stability and accuracy in practical application are not sufficient, making the estimation of torsional strength still a tough task. Meanwhile, the application of machine learning br