fig1

Figure 1. Process scheme of the optimization, evaluation and prediction framework for the hybrid machine-learning model. RMSE: Root mean square error; MAE: mean absolute error; MSE: mean squared error; SPXY: sample set partitioning based on joint X-Y distances; GBR: gradient boosting regressor; KRR: kernel ridge regression.