Risk factors for relapse and nomogram for relapse probability prediction in patients with minor ischemic stroke

Table 3 Summary of the confusion matrix for the training dataset and testing dataset

		Actual outcome		Actual outcome
		No relapse during hospitalization	Relapse during hospitalization	No relapse during hospitalization	Relapse during hospitalization
Predicted outcome	No relapse during hospitalization	750	45	423	25
	Relapse during hospitalization	0	1	0	0

The rows in the confusion matrix correspond to what the logistic algorithm predicted and the columns correspond to the known truth. There are only two categories to choose from: “No relapse during hospitalization” or “Relapse during hospitalization”. Then, the top left corner contains true negatives. The true positives are situated at the bottom right-hand corner. The confusion matrix of the model in the derivation cohort is shown in the figure, with an error rate of 0.057; the confusion matrix of the model in the validation cohort is presented in the figure with an error rate of 0.056.