Table 2 Performance of the three optimised supervised models, asterisks indicate histological features.

From: Classification of Paediatric Inflammatory Bowel Disease using Machine Learning

Input

Accuracy % (AUC)

Precision

Recall

F1-score

(#) Features

Endoscopy

71.0% (0.78)

0.89

0.68

0.75

(5) Duodenum, Ileum, D-Colon, Rectum, Perianal

Histology

76.9% (0. 82)

0.81

0.86

0.83

(1) Ileum

Combined (E + H)

82.7% (0.87)

0.91

0.83

0.87

(8) Duodenum, Ileum, D-Colon, Rectum, Perianal, Oesophagus*, Ileum*, A-Colon*

  1. All metrics represent the average over the 5-folds of the cross validation.