Research on the Construction and Application of the Innovation Ability Predicting Model of College Students
In order to construct a prediction model for college students'innovation ability based on machine learning algorithms,and to evaluate and predict their innovation ability,data from various aspects such as course learning,subject competitions,paper publishing,and practical innovation are collected,and combined with the random forest algorithm for ensemble learning,a classification evaluation and prediction model for innovation ability is formed by comprehensively considering multidimensional data and extracting key features.After training,the model demonstrates good predictive performance,and experimental results show that it has high accuracy and stability.It not only pro-vides new ideas and methods for evaluating and predicting the innovation ability of college students,but also helps to promote the in-depth development of innovation ability training and provides strong support for innovation in higher ed-ucation.
innovation ability of college studentsprediction modelrandom forestmachine learning
万方数据
维普
