Several commonly used algorithms within the supervised ML training model are considered, including the support vector machines (SVM) , random forest (RF) , and k-nearest neighbors (KNN) . These algorithms are evaluated to determine the most appropriate one for the task. The model training process is conducted using Google Collaboratory This iterative process continues until the output aligns with the target fuel properties.