Figure 2
The image is a flowchart divided into three main sections titled Data preparation slash Pre-processing, M L model selection, and Model optimisation. The first section outlines steps beginning with Experimental slash Simulation data, leading to Data cleaning slash Pre processing, and further dividing into Randomly separate data, followed by the subsets Training data set, Validation data set, and Test data set. The second section moves from the M L Model to Model training slash testing, where outcomes are evaluated using metrics such as R-squared, Mean Absolute Error, and Mean Squared Error. A decision point indicates if the Model good, directs to initialization from a valid R S M model, while No leads to Hyperparameter tuning and then Fit a Regression model. The final section involves analysing the Response surface and defining the Objective function and constraints, culminating in Mathematical optimisation using M L. The flowchart uses distinct colours for each section and arrows to indicate the process flow.Proposed RSM informed ML framework with data-driven model optimization