Table 3.

Accuracy Measures for Prediction Models of Anthracycline Cardiotoxicity

Accuracy Measure	Dataset	Clinical Model	Genetic Model	Combined Clinical and Genetic Model
AUC	Training	0.9990 ± 0.0026	0.8996 ± 0.0216	0.9923 ± 0.0063
	Testing	0.5896 ± 0.0431	0.7133 ± 0.042	0.7156 ± 0.0421
	Overall	0.7403 ± 0.0273	0.7819 ± 0.0262	0.8174 ± 0.0267
Sn	Training	0.9980 ± 0.0053	0.8232 ± 0.0457	0.9846 ± 0.0127
	Testing	0.4317 ± 0.0885	0.5552 ± 0.0827	0.5254 ± 0.0836
	Overall	0.6401 ± 0.056	0.6538 ± 0.054	0.6944 ± 0.0528
Sp	Training	1.0000 ± 0.0004	0.9760 ± 0.0168	0.9999 ± 0.0008
	Testing	0.7475 ± 0.0682	0.8715 ± 0.0513	0.9057 ± 0.047
	Overall	0.8404 ± 0.0431	0.9100 ± 0.035	0.9404 ± 0.0297
PPV	Training	1.0000 ± 0.0005	0.9609 ± 0.0254	0.9999 ± 0.0011
	Testing	0.4885 ± 0.0749	0.7259 ± 0.0820	0.7623 ± 0.0942
	Overall	0.6767 ± 0.0473	0.8124 ± 0.0544	0.8498 ± 0.0595
NPV	Training	0.9986 ± 0.0035	0.8893 ± 0.0253	0.9896 ± 0.0084
	Testing	0.7058 ± 0.0384	0.7684 ± 0.0376	0.777 ± 0.0365
	Overall	0.8135 ± 0.0243	0.8129 ± 0.0239	0.8552 ± 0.0231
MC	Training	0.0008 ± 0.0021	0.0864 ± 0.0182	0.0063 ± 0.0051
	Testing	0.3652 ± 0.0423	0.2465 ± 0.0385	0.2297 ± 0.0373
	Overall	0.2311 ± 0.0268	0.1876 ± 0.0241	0.1475 ± 0.0237
FPR	Training	0.0000 ± 0.0002	0.0141 ± 0.0098	0.0000 ± 0.0005
	Testing	0.1632 ± 0.0457	0.0807 ± 0.0325	0.0610 ± 0.0308
	Overall	0.1032 ± 0.0289	0.0562 ± 0.0220	0.0386 ± 0.0195
FNR	Training	0.0008 ± 0.0021	0.0723 ± 0.0185	0.0063 ± 0.0051
	Testing	0.2020 ± 0.0365	0.1658 ± 0.0333	0.1687 ± 0.0334
	Overall	0.1279 ± 0.0231	0.1314 ± 0.0215	0.1089 ± 0.0211

Values are mean ± SD.

AUC = area under the curve; FNR = false negative rate; FPR = false positive rate; MC = misclassification; NPV = negative predictive value; PPV = positive predictive value; Sn = sensitivity; Sp = specificity.