With the rapid development of the intelligent construction industry, the demand of enterprises for highquality talents specialized in intelligent construction is becoming more and more urgent. This paper discusses the evaluation model of talent cultivation effect of intelligent construction professionals under the innovation of BIM education system based on support vector machine (SVM) and principal component analysis (PCA). Firstly, the evaluation index system of intelligent construction professional talent training effect is constructed, due to the excessive evaluation indexes of intelligent construction professional talent training effect, the multi-dimensional data of talent training effect is downgraded by principal component analysis to avoid the estimation distortion of the model. Then the principal components with a determined number are transformed into the principal component matrix and input into the SVM, and the parameters of the SVM are selected based on the grid search algorithm, and the SVM is trained. The study shows that the assessment model of this paper can effectively evaluate the training effect of intelligent construction professionals in different institutions, and obtains the average absolute error \(E_{MA}\) and the mean square error \(E_{MS}\) with the optimal performances, and the values of the two indexes are 0.03 and 0.005, respectively. The innovative education effect assessment method of this paper provides a scientific basis for the optimization of the teaching content and the improvement of teaching methods. It provides a scientific basis and lays a foundation for improving the quality and knowledge level of intelligent construction professionals.
