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Establishing authoritative electrolyte safety assessment methods at laboratory levels is crucial for addressing conflicts from thermal runaway of lithium‐ion batteries. However, self‐extinguishing time (SET), as the most widely used evaluation method now, lacks benchmarks and heavily relies on the specific implementation of test procedures. This work systematically summarizes and investigates key test parameters. Based on repeatability and reliability, burning a glassfiber separator (Φ16 mm) with absorption of 0.1 g liquid electrolyte (LE) can be proposed as a unified method. The concept of self‐extinguishing efficiency (SEE) is further proposed with a new evaluation criterion of i) SEE≤70, Flammable; ii) 70

We have successfully constructed a machine learning framework to predict the important properties of MOF-loaded (metal-organic framework) polymer composites. Our classification models have obtained promising predictive performance. The analysis of feature importance has revealed the relationship between MOFs and the properties of polymer composites, guiding the research focus for MOF's application in the fire safety field.