Table 11 AUC estimate for both visual and crisp logic-based classification

From: A machine learning pipeline to classify foetal heart rate deceleration with optimal feature set

Test Result Variable(s)

Area

Std. Error

Asymptotic Sig.

Asymptotic 95% Confidence Interval

Lower Bound

Upper Bound

Visual

0.693

0.075

0.146

0.427

0.721

NICHD-based

0.574

0.085

0.579

0.526

0.861

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