Application of Random Forest Algorithm in English Innovative Talent Cultivation Mode in Colleges and Universities

Abstract

This research investigates the integration of the Random Forest Algorithm within the framework of English Innovative Talent Cultivation Mode in higher education institutions. The study uses a performance evaluation approach to examine the algorithm's impact on student learning outcomes and instructional methodologies. The algorithm's usefulness in improving outcomes and personalizing instructional approaches is examined using descriptive statistical analysis. The findings demonstrate the algorithm's potential to change English language education by providing useful insights into student performance that can drive instructional decisions. This study emphasizes the relevance of refining talent development tactics and cultivating innovative English language skills among students, thus contributing to the growth of educational practices in colleges and universities. As a result, using the Random Forest Algorithm in this scenario has the potential to revolutionize teaching practices while also encouraging a culture of continual improvement and innovation in English language acquisition.