What does this research mean for the field?

Consumer purchase intention for pre-prepared meals is predominantly driven by willingness, particularly recommendation willingness, which accounts for over 72% of predictive importance. Novelty: ClaimNovelty.NOVEL_FINDING. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This study aims to identify the key factors influencing consumer purchase intention for pre-prepared meals and their nonlinear interactions.

March 7, 2026FoodsOpen Access

Predicting Consumer Purchase Intention for Pre-Prepared Meals Based on Random Forest and Explainable AI (SHAP): A Study in Jilin Province, China

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This study aims to identify the key factors influencing consumer purchase intention for pre-prepared meals and their nonlinear interactions.
Analyzed 805 valid questionnaires from Jilin Province
Utilized random forest and XGBoost models optimized via Bayesian techniques
Employed SMOTE-Tomek algorithm to address sample imbalance
Integrated SHAP framework for model interpretability
Random Forest model achieved an F1 score of 0.907, AUC of 0.928, and prediction accuracy of 0.876
Willingness-driven factors accounted for over 72% of predictive importance
Recommendation willingness showed a significant S-shaped nonlinear threshold
High willingness can offset perceived product deficiencies, while lack of core intention presents a barrier

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Implication

Analyzing consumer purchase intention in Jilin Province, revealing key drivers for strategic industry development.

Cite This Study

Qi et al. (2026) studied this question.

synapsesocial.com/papers/69abc2255af8044f7a4eb6cd https://doi.org/10.3390/foods15050896

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Predicting Consumer Purchase Intention for Pre-Prepared Meals Based on Random Forest and Explainable AI (SHAP): A Study in Jilin Province, China

Key Points

Discussion

Implication

Cite This Study

Predicting Consumer Purchase Intention for Pre-Prepared Meals Based on Random Forest and Explainable AI (SHAP): A Study in Jilin Province, China

Key Points

Discussion

Implication

Cite This Study