In order to improve the adaptability of the filling path to the geometric features of the filled contour during the 3D printing technology,a polygon contour classification method based on SVM was proposed.The measurable variables associated with the filling profile were analyzed,such as polygon degree,area/perimeter ratio, acute angle account for the percentage of all angles；SVM model was established by using machine learning method to classify and predict polygon types.By using this method,the analysis of complex geometric parameters one by one can be avoided,and the adaptive path for the filled contour can be efficiently and accurately selected.The results show that by using this method,a good classification effect can be achieved,and the prediction accuracy of the model is more than 90%,which basically meets the actual processing requirements.