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Table 5 Quality of machine learning suggestions: Precision/recall of the machine learning text highlights with regard to the users’ final edits (calculated for each bias assessment which used machine learning assistance, and averaged)

From: Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study

 

Overall

(n = 328)

RSG

(n = 82)

AC

(n = 82)

BPP

(n = 82)

BOA

(n = 82)

Recall (SD)

0.90 (0.14)

0.91 (0.18)

0.92 (0.17)

0.90 (0.19)

0.91 (0.21)

Precision (SD)

0.87 (0.21)

0.91 (0.21)

0.88 (0.24)

0.87 (0.25)

0.87 (0.27)