Application of multimodal fusion technology in early recurrence prediction and pathological analysis of hepatocellular carcinoma

Table 3 Clinical model construction

Dataset	Model name	Accuracy	AUC	95%CI	Sensitivity	Specificity
Training	RandomForest	0.677	0.766	0.6884-0.8443	0.893	0.519
Test	RandomForest	0.517	0.650	0.5106-0.7900	0.870	0.286
Training	ExtraTrees	0.632	0.678	0.5881-0.7671	0.661	0.61
Test	ExtraTrees	0.534	0.598	0.4506-0.7457	0.696	0.429
Training	MLP	0.579	0.634	0.5398-0.7281	0.839	0.39
Test	MLP	0.466	0.504	0.3482-0.6605	0.913	0.171

AUC: Area under the curve; MLP: Multi-layer perceptron.