Table 1 Evaluation of the classifier performance.

From: Machine learning analysis of pregnancy data enables early identification of a subpopulation of newborns with ASD

FS strategy

TNR

TPR

PPV

F0.5

Semi-automatic

0.96 ± .01

0.41 ± .04

0.77 ± .05

0.62 ± .04

Fully automatic

0.96 ± .01

0.41 ± .04

0.77 ± .05

0.63 ± .04

  1. Estimated classification scores with 95% confidence intervals computed through averaging on a cross-validation process based on two feature selection strategies (FSS). TNR true negative rate, TPR true positive rate, PPV positive predictive value.
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