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. 2021 Jun 8;11(6):524. doi: 10.3390/jpm11060524

Figure 4.

Figure 4

Figure 4

(A) Recursive feature elimination cross-validation. Optimal performance for predominantly classic versus occult was reached with 101 features out of 106, and only 21 features were necessary to sustain the average model performance of 91% AUROC. (B) Distribution of the top 20 feature values in the training data (predominantly classic vs. occult classes).