This paper investigates the effects of Chinese economic plans on the academic education system. To quantitatively illustrate the outcomes of investment plans on the Chinese contemporarily society, the conducted study proposes a mathematical model for the employability of graduated students. The proposed technique consists in an averaging intermodel ensemble of several neural networks trained on a labeled dataset categorized as follows: age and gender, study program and academic achievements, willingness to work in the considered industry sectors and, public investments on the considered industry fields. The supervisory signal chosen for the analysis is the ratio between graduated and employed students. The attained models clearly jibe on the importance of investments in each working sector as the most impactful parameter affecting the student employability.
Keywords: Planned economic growth; Chinese education system; employ¬ability analysis; supervised machine learning; inter-model ensemble.