Extended Data Fig. 1: OncoNPC classification performance: confusion matrix, and precision and recall. | Nature Medicine

Extended Data Fig. 1: OncoNPC classification performance: confusion matrix, and precision and recall.

From: Machine learning for genetics-based classification and treatment response prediction in cancer of unknown primary

Extended Data Fig. 1

Confusion matrices on the held-out test set (n = 7,289) for (a) 22 detailed cancer types and (b) 13 cancer groups (see Table 1). (c),(d) OncoNPC performance in precision and recall on the test set across (c) cancer types and (d) cancer groups at 4 different prediction confidences using \({p}_{\max }\) as a threshold. Each dot size is scaled by the proportion of tumor samples retained. In (d), we only considered cancer groups that have more than one cancer type. Overall F1 scores were weighted according to the number of confirmed cases across cancer types and cancer groups, respectively.

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