After the database construction, determining the parameters to be used as input data for the model is crucial to obtain accurate outcomes. In this regard, initially, five properties were calculated for each FP data point to conduct an exploratory data analysis (EDA) and identify the most relevant properties for the model. These properties included the average molar mass of the mixture (MM), the natural logarithmic of the average vapor pressure of the mixture (ln 𝑃 𝑣𝑎𝑝 ), the number of carbons (NC), the number of double bonds (C=C), and the sum of the absolute entropy of each atom contained in the mixture (s), with entropy values obtained from CHNOZ GitHub repository . It's important to mention that the database also contains a column related to the experimental method by which FP was calculated to ensure that the model could distinguish between methods, as FP is a methodology dependent property.