FIGURE 2.

Machine learning model with hyperparameter tuning. The original data were randomly separated into training data and testing data. Training data were used to train the machine learning model, while testing data were used to evaluate the model performance. The hyperparameters of the model can be continuously tuned with information acquired from testing results until the optimal model is obtained.