Fig. 3From: An uncertainty-based interpretable deep learning framework for predicting breast cancer outcomeParameter sensitivity analysis for UISNet. The y-axis values represent the C-index values obtained by using different hyperparameter combinations. The number of nodes in hidden layer 3 was selected from [100, 50, 20, 10], and the learning rate was set to [1e-6, 1e-7, 5e-7, 1e-8]Back to article page