Abstract
This essay uses machine learning methods to predict students’ online learning performance. The characteristicsof student’s characteristics, learning behavior characteristics, and environmental factors are extracted by featureengineering, and the random forest model is used for prediction. The experimental results show that the predictionaccuracy of the random forest model reaches 0.82, which provides an effective means for the prediction of onlinelearning performance.
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