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Table 4 Mean (standard deviation) of performance metrics using all 58 features

From: An interpretable neural network for outcome prediction in traumatic brain injury

Method

Accuracy

Recall

Precision

F1

AUC

TFNN

0.702 (0.026)

0.551(0.050)

0.684 (0.038)

0.564 (0.039)

0.786 (0.027)

XGB

0.697 (0.019)

0.624(0.041)

0.647 (0.026)

0.588 (0.026)

0.762 (0.016)

RF

0.735 (0.021)

0.574 (0.054)

0.741 (0.027)

0.599 (0.038)

0.810 (0.018)

SVM

0.740 (0.018)

0.615 (0.048)

0.731 (0.037)

0.620 (0.028)

0.808 (0.024)

  1. Values in bold are the highest for a given metric across different methods