Fig. 4From: Deep learning-based transcriptome data classification for drug-target interaction predictionThe validation accuracy under different dropout rates. When the dropout rate equaled 50%, the performance of the DNN was the best, because the trained model was assembled by sub-models, and the number of possible sub-models is 2 t, where t denotes the number of hidden neurons in second hidden layerBack to article page