High-standard and high-quality products are not only the foundation of the enterprise, but also the core competitiveness of the enterprise, which is a key factor for the enterprise to achieve sustainable development in the context of the new era. In recent years, as the production scale of Enshi Cigarette Factory has been expanding, the traditional detection and evaluation mechanism of cigarette quality stability, to a certain extent, can no longer meet the production environment well. Therefore, this paper introduced machine learning technology into the study, selected four cigarette types as modeling objects:HUANGHELOU (81235), HUANGHELOU (81247), HUANGHELOU (81183) and HUANGHELOU(01103), and took factors affecting cigarette quality as modeling objectives, so as to find the key factors affecting cigarette quality.
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