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To do so, we calculated the impurity-based Gini feature importance48 and visualized it for final analysis. Second, we split the dataset in training set (80%) and test (20%). First, we processed the categorical variables with one-hot encoding before model development and excluded variables with more than 20% data gaps. Thus, the final set of analyzed