Research on the Company Financial Crisis Prediction Model based on Support Vector Machine

For comparing the prediction accuracy of company financial crisis prediction models, the support vector machine model was introduced in this paper to predict that whether there exists financial crisis in a company or not. Through the acquisition of a large number of samples for training and testing, the specific example's results demonstrate that the financial crisis prediction model based on support vector machine can effectively predict the financial crisis. The prediction accuracy of the training samples and testing sample respectively are 94.5% and 93.9%, which is better than the neural network model.