Skip to main content
. Author manuscript; available in PMC: 2017 Sep 5.
Published in final edited form as: Mach Learn Knowl Discov Databases. 2016 Sep 4;9852:1–16. doi: 10.1007/978-3-319-46227-1_1

Fig. 3.

Fig. 3

Q2 accuracy, mean Mcc and AUC of disorder (DISO) prediction with respect to the DCNN architecture: (left) the number of neurons, (middle) window size, and (right) the number of hidden layers. Training methods: maximum likelihood (black), maximum labelwise accuracy (red) and maximum AUC (green). (Color figure online)