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Table 1 Comparing our full method to methods which omit one technique: ten runs \( \mu \pm \sigma \)

From: Learning to detect the onset of slow activity after a generalized tonic–clonic seizure

Method varriant ROC–AUC Sensitivity Specificity Accuracy
Baseline \(0.600 \pm 0.024\) \(0.446 \pm 0.081 \) \(0.689 \pm 0.057\) \(0.626 \pm 0.026\)
Batch size = 64 \(0.646 \pm 0.027\) \(0.468 \pm 0.064 \) \(0.732 \pm 0.042\) \(0.664 \pm 0.022\)
W/o \(L_2\) \(0.651 \pm 0.018\) \(0.486 \pm 0.064\) \(0.747 \pm 0.049\) \(0.679 \pm 0.028\)
W/o batch z-score \(0.658 \pm 0.034\) \(0.379 \pm 0.060 \) \(0.801 \pm 0.055\) \(0.691 \pm 0.034\)
Batch size = 32 \(0.689 \pm 0.032\) \(0.500 \pm 0.069 \) \(0.759 \pm 0.048\) \(0.692 \pm 0.027\)
W/o anti-aliasing \(0.708 \pm 0.017\) \(0.527 \pm 0.066 \) \(0.767 \pm 0.051\) \(0.708 \pm 0.024\)
W/o discount \(0.712 \pm 0.026 \) \(0.462 \pm 0.032 \) \(0.825 \pm 0.037 \) \(0.731 \pm 0.023\)
Full method \({0.725 \pm 0.025 }\) \({0.448 \pm 0.063}\) \({0.850 \pm 0.032}\) \({0.746 \pm 0.016}\)