Fig. 5.
Download original image
Galaxy morphology classification performance: recall, precision, and general confusion matrix analysis. Left and middle panels represent the recall and precision of the GoogLeNet model, with both exceeding 94.6%, which indicates that the GoogLeNet model can effectively distinguish between different types of galaxies. The right panel represents the general confusion matrix.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.