Figure 4 | Scientific Reports

Figure 4

From: Machine learning and XAI approaches highlight the strong connection between \(O_3\) and \(NO_2\) pollutants and Alzheimer’s disease

Figure 4

Average feature importance obtained through RF model after a 5-fold CV procedure with 100 ripetitions, for the considered time span (2015–2019). The white boxes show that the corresponding feature was rejected in the feature selection procedure relied on the Boruta algorithm. Panels (A) and (B) are referred to RF models trained with and without centrality network features respectively.

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