Prediction Model of Teacher Digital Training Participation Based on Support Vector Machine

With the rapid development of information technology, digital training has become an important way to improve teachers' professional quality. By collecting and analyzing teachers' digital training data, this study preprocesses and extracts the characteristics of teachers' behavior data, uses SVM algorithm to learn and train these characteristics, and establishes the participation prediction model. The experimental results show that the model has high prediction accuracy and stability.