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. 2021 Feb 26;9:604899. doi: 10.3389/fped.2021.604899

Figure 5.

Figure 5

Machine learning prediction model for two-way comparison of surgical NEC (S-NEC) and controls. (A) t-SNE separation of S-NEC and controls. (B) Receiver-operating characteristic curve for models using LDA, SVM, RF, and logistic regression. (C) Table of model characteristics. (D) Contribution of each CBC component to the model. (E) Representative decision tree. AUC, area under the curve; TP, true positive; FP, false positive; TN, true negative; FN, false negative.