Fig. 7: Feature importance in time-to-event recurrence prediction by RF-T and GB-T models.
From: Prediction of early-stage melanoma recurrence using clinical and histopathologic features
a The 20 most important features when experimenting on the original cohorts. b The 20 most important features when experimenting on the core complete cohorts: negative or not indicated regional lymph node histology, known mitotic rate, and known ulceration. c The 20 most important features when experimenting on the complete cohorts: negative or not indicated regional lymph node histology, known median income, and all tumor features available. The box extends from the first quartile to the third quartile of the feature importance values for each feature, with a line at the median. The whiskers extend from the box by 1.5x the interquartile range. Flier points are those past the end of the whiskers.
