Prediction and Analysis for Students´ Marks Based on Decision Tree Algorithm

Using decision tree algorithm C4.5 to establish a classification rule and an analysis-forecasting model for students´marks. Describing how the analysis-forecasting result can be used to find out the factors which can affect students´ marks, so some negative learning habits or behaviors of students can be revealed and corrected in time. And the teaching effect of the teacher can be checked, the teaching management can also be assisted. The effectiveness and correctness of analysis and forecasting model and classification for students´ marks based on decision tree algorithm C4.5 has been examined by an example.