Fig. 4: Variable Importance (VIMP) for the best-fitted random forest (left) is presented for rhinitis. | Journal of Exposure Science & Environmental Epidemiology

Fig. 4: Variable Importance (VIMP) for the best-fitted random forest (left) is presented for rhinitis.

From: A novel concept of screening for subgrouping factors for the association between socioeconomic status and respiratory allergies

Fig. 4

Blue bars indicate the importance of variables (positive VIMP) relative to their lengths, red bars indicate presumably noise variables (negative VIMP). The best combination for the hyper-parameters was found to be nodesize = 10, nsplit = 2, and mtry = 3 with the lowest OBB error estimate of 2%. Minimal depth (right) refers to the topology of the forest. Low minimal depth indicates important variables. The dashed line represents the threshold of the maximum value for variable selection.

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