Evaluation Method of English Online Education Effect Based on Machine Learning Algorithm

Online teaching evaluation requires the use of technical means for data collection and analysis, but current technologies may still have some limitations, such as the inability to accurately capture students’ actual performance or evaluate their comprehensive abilities To this end, a method for evaluating the effectiveness of online English teaching based on machine learning algorithms was studied. Firstly, an evaluation index system was constructed through primary selection and principal component analysis. Then collect and process the evaluation information corresponding to the indicators for data reduction, transformation, and anomaly data detection. Utilizing genetic algorithms to optimize the weights of BP neural networks in machine learning algorithms, finding better combinations of weights, and improving the learning ability and prediction accuracy of neural networks. A method for evaluating the effectiveness of online English education based on genetic algorithm optimized BP neural network has been proposed. The research results indicate that it can effectively evaluate the effectiveness of online English teaching.