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. 2024 Sep 10;19(9):e0303217. doi: 10.1371/journal.pone.0303217

Fig 2. Workflow of the classifier Ensemble method.

Fig 2

The scores of the various algorithms were averaged and aggregated; they became “features” of a ensemble machine learning model. Final performances for train and test were evaluated and an XAI approach was implemented to explain which feature-algorithm impacted more on the final predictions.