Table 1 F1 weight score and area under the ROC curve of the best machine learning models for detection of disorders of anal tone and contractility.

From: Artificial intelligence as a transforming factor in motility disorders–automatic detection of motility patterns in high-resolution anorectal manometry

Model

F1 weight score (Mean ± SD)

Area under the ROC curve (Mean ± SD)

LGBMClassifier

85.0 ± 3.5

82.0 ± 4.3

XGBClassifier

84.5 ± 2.7

80.5 ± 4.7

RandomForestClassifier

83.0 ± 3.2

79.5 ± 4.3

ExtraTreesClassifier

82.0 ± 3.5

77.0 ± 4.1

AdaBoostClassifier

78.5 ± 3.8

74.5 ± 4.3

  1. SD: standard deviation, ROC curve: receiver operating characteristic curve.
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