Figure 10.
The image features a line graph that visualizes measured and predicted California Bearing Ratio (C B R) percentages plotted against test set values, indicating data from zero to thirty-six on the horizontal axis. The vertical axis ranges from five to fifty, representing percentage values. Five distinct lines, each marked with unique symbols and colours, represent measured C B R, Support Vector Machine (S V M)-predicted C B R, Gaussian Process Regression (G P R)-predicted CBR, Artificial Neural Network (ANN)-predicted C B R, and Random Forest (R F)-predicted C B R. A small inset graph highlights a portion of the data trends around the test set values of twelve to fourteen. The graph clearly delineates each prediction methodology with a corresponding legend found in the upper right corner.Visualisation of model accuracy for CBR value prediction on training set and testing set