Figure 5 | Scientific Reports

Figure 5

From: Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data

Figure 5

Internal and between-models coherence in feature importance selection. We show the robustness R as a function of the first x best loci. In panel (A) we consider the robustness of a given model/criterion, when trained on two different subsets of the data. In panel (B) we show the robustness between the same model when two different criteria are considered on the same subset of the dataset. In panel (C) we compare two different models/criteria, on the same subset of the dataset. Finally in panel (D) we show the same analysis of panel (A) for combination of models. Solid and dotted lines represent the mean values of the robustness distributions, respectively in panels (A and D) over all the couples of subsets (10 subsets, for a total of 45 couples), and in panels (B,C) over all the subsets (10 subsets, for a total of 10 couples). Shaded regions represent the 1 standard deviation confidence intervals.

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