Table 3 Comparison of models’ performance classification results. Model #1 was evaluated on the analyzed dataset. Model #2 was evaluated on the analyzed dataset, with the exception of two training examples that were used for few-shot learning. Model #3 was evaluated on the Test set of the analyzed dataset.

From: AI and narrative embeddings detect PTSD following childbirth via birth stories

Model

AUC

F1 score

Sensitivity (Recall)

Specificity

Model #1

0.60

0.33

0.20

0.99

Model #2

0.60

0.38

0.24

0.96

Model #3

0.80

0.81

0.85

0.75