Table 3.

Neural network classifier confusion matrix.

Neural network classifier
Training	Confusion matrix		Predicted
			Neglect	Non-neglect
	Actual	Neglect	0.87	0.13	Sensitivity (recall)	0.87
		Non-neglect	0.21	0.77	Specificity	0.77
			Positive predictive value (precision)	Negative predictive value	Accuracy	0.83
			0.80	0.85
Cross-validation	Confusion matrix		Predicted
			Neglect	Non-neglect
	Actual	Neglect	0.85	0.15	Sensitivity (recall)	0.85
		Non-neglect	0.28	0.72	Specificity	0.72
			Positive predictive value (precision)	Negative predictive value	Accuracy	0.79
			0.75	0.83
			95% CI: 0.82–0.89	95% CI: 0.68–0.76