Research on Entrepreneurship Multi-dimensional Computer-Assisted Intelligent Evaluation Model Based on Machine Learning

This study constructs a multi-dimensional computer-assisted intelligent evaluation model for entrepreneurship based on machine learning, with the aim of improving the accuracy and efficiency of entrepreneurial project evaluation. This model achieves efficient and multidimensional analysis of entrepreneurial projects by building an intelligent evaluation framework covering important steps such as data preprocessing, feature extraction, and algorithm planning. The model uses data mining technology to extract key indicators from multiple aspects, and then uses machine learning algorithms to classify, predict, and comprehensively evaluate entrepreneurial projects. It is particularly important to point out that algorithms such as random forests and support vector machines are introduced in the model design process, which greatly improves the accuracy and stability of predictions. The simulation experiment confirms the effectiveness of the model, and the results show that the model has achieved excellent results in all evaluation dimensions: the accuracy rate reaches 92.3%, the error rate is controlled within 5%, and the evaluation efficiency is improved by more than 30% compared with traditional methods.