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Fig. 4 | BioData Mining

Fig. 4

From: Feature graphs for interpretable unsupervised tree ensembles: centrality, interaction, and application in disease subtyping

Fig. 4

Hyper-parameter analysis conducted on synthetic datasets, assessing the differences in centrality between relevant and irrelevant features (first row) and the correlation between edge weights and the discriminative power of feature pairs (second row) when varying the number of trees in the forest and the number of features considered at each node for the best split (MTRY). The blue horizontal lines in the first row indicate statistical significance at p=0.05

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