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. 2022 Aug 26;12:14628. doi: 10.1038/s41598-022-18874-6

Figure 2.

Figure 2

Classification of 31 different cancer types by a Bayesian neural network (BNN) (a) Overall Accuracy comparison of L2-regularized logistic regression, L2-regularized Deep Neural Network based classification method (DNN) and Bayesian Neural Network based classification method (BNN) (b) Precision, recall and F1 Scores of the cancer types for prediction of individual cancer types by the BNN. For classification of individual cancer types, recall represents accuracy of classification. (c) Confusion Matrix for the predictions of individual cancer types by BNN. The rows denote the actual cancer types and the columns denote the predicted cancer types.