The Gini index is used as the splitting criterion to construct the decision trees . The sequence of features leading to the prediction indicates the importance of each feature, with each successive feature being less important in the sequence. Computed using the Gini index in our paper, the sequence of features facilitates interpreting the model and eliciting the most important features that contribute to making a prediction.