Figure 9.
The image shows a graph comparing measured and predicted values of California Bearing Ratio (C B R) percentages against a training set along the horizontal axis. The vertical axis represents the C B R percentages, spanning from 5 to 45 percent. The main graph features five lines: blue for measured C B R, orange for Artificial Neural Network (A N N) predicted C B R, grey for Gaussian Process Regression (G P R) predicted C B R, and yellow for Recurrent Forecasting (R F) predicted C B R. An inset graph highlights a specific section of the main graph, displaying a closer view of the line trends. The graph includes markers for specific data points and a legend to identify each prediction method. The data flows from left to right along the horizontal axis, while the C B R percentages ascend vertically.Visualisation of model accuracy for CBR value prediction on training set