Insights into ensemble learning-based data-driven model for safety-related property of chemical substances

•Stacking-based ensemble learning is deployed with heterogeneous ML methods.•Individual and ensemble ML models are comprehensively studied and compared.•Ensemble models present improved predictive accuracy than individual models.•Model reliability is analyzed with structural feature-based data-driven categories.