Application analysis of data mining based on improved decision tree in English flipped classroom teaching

Abstract

This study aims to analyse the application of data mining based on improve decision in English flipped classroom teaching. The experimental results show that the improved C4.5 algorithm had a better performance than ID3 algorithm and C4.5 algorithm and CART algorithm. In terms of accuracy rate, the four algorithms can be ranked as improved C4.5 algorithm, C4.5 algorithm, ID3 algorithm, and CART algorithm from high to low. Moreover, the improved C4.5 algorithm had the lowest error rate among the four algorithms. Under the same number of training samples, the improved C4.5 algorithm takes the least time at the least memory cost. Therefore, the improved C4.5 algorithm is adopted to construct a data mining model for English flipped classroom teaching and promote the research on English flipped classroom teaching.