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Fig. 9 | BMC Bioinformatics

Fig. 9

From: HostNet: improved sequence representation in deep neural networks for virus-host prediction

Fig. 9

The learning curves for showing the convergence of HostNet, HostNet without ASW, and HostNet without K2V during training on the training and validation datasets. a Training and validation accuracy (standard) during training on the Rabies lyssavirus dataset. b Training and validation accuracy (standard) during training on the Flavivirus dataset. The dotted line with empty green triangles represents the learning curve of HostNet's Accuracy Standard on the training set. The solid line with solid green triangles represents the learning curve of HostNet's Accuracy Standard on the validation set. The dotted line with empty red squares represents the learning curve of HostNet without ASW’s Accuracy Standard on the training set. The solid line with solid red squares represents the learning curve of HostNet without ASW's Accuracy Standard on the validation set. The dotted line with empty blue circles represents the learning curve of HostNet without K2V's Accuracy Standard on the training set. The solid line with solid blue circle represents the learning curve of HostNet without K2V's Accuracy Standard on the validation set

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