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Table 1 Random forest model and training parameters

From: Predicting depression among rural and urban disabled elderly in China using a random forest classifier

Parameter Value(rural) Value(urban)
n_estimator 128 190
min_samples_split 16 16
min_samples_leaf 8 8
max_depth 7 7