Table 2.

Performance evaluation of models in different cohorts

Dataset	Model		ACC	SEN	SPE	PPV	NPV
Training cohort	WTH	Fusion	0.84	0.804	0.88	0.882	0.8
		Delta	0.764	0.766	0.77	0.787	0.74
		BL	0.676	0.681	0.72	0.72	0.643
		C1	0.675	0.677	0.94	0.891	0.599
	ITH	Fusion	0.797	0.804	0.79	0.811	0.782
		Delta	0.769	0.795	0.74	0.774	0.763
		BL	0.66	0.571	0.76	0.727	0.613
		C1	0.642	0.393	0.92	0.846	0.575
	WITH		0.816	0.688	0.96	0.951	0.733
Validation Cohort 1	WTH	Fusion	0.778	0.786	0.769	0.786	0.769
		Delta	0.722	0.643	0.808	0.783	0.677
		BL	0.648	0.607	0.692	0.68	0.621
		C1	0.63	0.357	0.923	0.833	0.571
	ITH	Fusion	0.778	0.929	0.615	0.722	0.889
		Delta	0.759	0.964	0.538	0.692	0.837
		BL	0.648	0.821	0.462	0.622	0.778
		C1	0.722	0.964	0.462	0.659	0.804
	WITH		0.778	0.75	0.808	0.808	0.75
Validation Cohort 2	WTH	Fusion	0.674	0.643	0.733	0.818	0.524
		Delta	0.57	0.357	0.967	0.952	0.446
		BL	0.483	0.268	0.9	0.833	0.397
		C1	0.553	0.411	0.833	0.821	0.431
	ITH	Fusion	0.628	0.571	0.733	0.8	0.478
		Delta	0.64	0.607	0.7	0.791	0.488
		BL	0.628	0.804	0.3	0.682	0.45
		C1	0.5	0.304	0.867	0.81	0.4
	WITH		0.733	0.786	0.633	0.8	0.613
Validation Cohort 3	WTH	Fusion	0.667	0.5	0.889	0.857	0.571
		Delta	0.667	0.667	0.667	0.727	0.6
		BL	0.619	0.708	0.5	0.654	0.562
		C1	0.571	0.583	0.556	0.636	0.5
	ITH	Fusion	0.69	0.5	0.944	0.923	0.586
		Delta	0.619	0.5	0.778	0.75	0.538
		BL	0.595	0.5	0.722	0.706	0.52
		C1	0.524	0.5	0.556	0.6	0.455
	WITH		0.762	0.708	0.833	0.85	0.682

Bold values indicate the best-performing result within each cohort. ITH intratumoral heterogeneity, WTH whole-tumor heterogeneity, WITH integrated model combining ITH and WTH, ACC accuracy, SEN sensitivity, SPE specificity, PPV positive predictive value, NPV negative predictive value.