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

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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