Fig. 3: Performance of the deep learning model in predicting molecular alterations and histological grade in the training and validation cohorts. | npj Precision Oncology

Fig. 3: Performance of the deep learning model in predicting molecular alterations and histological grade in the training and validation cohorts.

From: Biologically interpretable multi-task deep learning pipeline predicts molecular alterations, grade, and prognosis in glioma patients

Fig. 3

a–c Receiver operating characteristic (ROC) curves for the prediction of IDH mutation status, 1p/19q co-deletion status, and histological grade, respectively. d–f Corresponding confusion matrices show the pairwise comparison; diagonal: number cases of correctly classified; off-diagonal: number of cases incorrectly classified.

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