Figure 8.
The graph illustrates the relationship between predicted and measured California Bearing Ratio (C B R) percentages, with the vertical axis representing predicted C B R ranging from five to fifty percent and the horizontal axis showing measured C B R in the same percentage range. Four predictive models are displayed: Random Forest (R F) is marked with a yellow line, Artificial Neural Network (A N N) with a light grey line, Support Vector Machine (S V M) with a blue line, and Gaussian Process Regression (G P R) with an orange line. There is a dotted yellow line indicating a linear fit across the data points. An inset within the graph shows a close-up of the prediction trends for the various models, with distinguishing colours for each model. The graph features a dashed box around a specific data feature, indicating focus or emphasis on a particular section of the data.Comparison between measured and predicted CBR values for model validation