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Table 2 Median (± median absolute deviation) values for metrics obtained during a 5-fold stratified cross-validation evaluation of the decision tree classifier in the derivation cohort

From: Algebraic topology-based machine learning using MRI predicts outcomes in primary sclerosing cholangitis

Metric

Fold 1

Fold 2

Fold 3

Fold 4

Fold 5

Median (± median absolute deviation)

Balanced accuracy

0.8

0.91

0.67

0.67

0.8

0.80 (± 0.12)

F1 score

0.8

0.90

0.69

0.69

0.77

0.70 (± 0.08)

Average precision

0.74

0.93

0.69

0.69

0.81

0.74 (± 0.04)

AUROC

0.8

0.91

0.67

0.67

0.80

0.80 (± 0.12)

  1. AUROC Area under the receiver operating