Fig. 4

Visualisation of the findings from Experiments 2A and 2B. A Bar graph of the tenfold cross-validated RMSE and the testing set RMSE of different machine learning models, from Experiment 2A. B List of top 10 features by importance of contribution to the regression, extracted from the Random Forest Model in Experiment 2A. C Bar graph showing the tenfold cross-validated RMSE and the testing set RMSE of different machine learning models, from Experiment 2B. (RMSE  root mean square error, SVM  Support Vector Machine, RF  Random Forest, ANN Artificial Neural Network)