In recent years, the number of graduate students in ship and ocean engineering has been increasing, and the quality of talents as the basic work of talent training determines the starting point of master education in ship and ocean engineering. Due to the gradual expansion of the number of postgraduates, the quality evaluation of postgraduates in ship and ocean engineering has become a top priority. The purpose of this paper is to study the quality of graduate students in ship and ocean engineering relying on improved random forest algorithm. In the experiment, the original data was obtained and the improved random forest algorithm was used. Among the respondents of the questionnaire, the third-year students and postgraduate students who participated in the internship were selected in a targeted manner. By analyzing the quality of talents in the research province, Guarantee the quality of graduate students in ship and ocean engineering.

Frey Davide. Talent Quality of Postgraduates in Ship and Ocean Engineering Relying on Improved Random Forest Algorithm. Frontiers in Ocean Engineering (2021), Vol. 2, Issue 3: 21-28. https://doi.org/10.38007/FOE.2021.020303.

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