Task-based online entrepreneurship teaching effect evaluation algorithm based on decision tree classification algorithm

To solve the problems of inaccurate evaluation results and insufficient data mining in the conventional teaching effect evaluation algorithm, this paper proposes a task-based online entrepreneurship teaching effect evaluation algorithm based on decision tree classification algorithm. First, the decision tree structure is analyzed, the total amount of task-based online entrepreneurship teaching data samples is set, and the data classification mining model is constructed by calculating conditional entropy and information gain; then, it constructs the index system of task-based online entrepreneurship teaching effect evaluation, calculates the weight of the evaluation index, and constructs the teaching effect evaluation algorithm after consistency test. The proposed algorithm has mining accuracy and high weight calculation accuracy.