Table 2.
Confusion matrix: confusion matrix for predicted sleep stage displays agreement between human experts and the prediction by the dataset (example-2 stage classification of sleep and wake)
Dataset scored wake (predicted class positive) | Dataset scored sleep (predicted class negative) | ||
---|---|---|---|
Human expert scored wake (actual class positive) | True positive (TP) | False negative (FN) | Sensitivity TP/(TP + FN) |
Human expert scored sleep (actual class negative) | False positive (FP) | True negative (TN) | Specificity TN/(TN + FP) |
Precision TP/(TP + FP) |
Negative predictive value TN/(TN + FN) |
Accuracy (TP + TN)/(TP + TN + FP + FN) |