Table 3.

Comparison of early- and late-type galaxy classification performance for different approaches.

Model Data Accuracy Precision Recall F1 score FPR
Supervised CNN VIS 0.84 ± 0.01 0.75 ± 0.02 0.71 ± 0.03 0.73 ± 0.01 0.11 ± 0.02
Linear model VIS 0.86 ± 0.00 0.81 ± 0.01 0.73 ± 0.01 0.77 ± 0.00 0.08 ± 0.00
MLP model VIS 0.88±0.00 0.80±0.01 0.80±0.01 0.80±0.00 0.09±0.00

Supervised CNN VIS + NISP 0.83 ± 0.01 0.74 ± 0.02 0.72 ± 0.02 0.73 ± 0.00 0.12 ± 0.02
Linear model VIS + NISP 0.84 ± 0.00 0.79 ± 0.00 0.67 ± 0.01 0.72 ± 0.00 0.08 ± 0.00
MLP model VIS + NISP 0.85 ± 0.00 0.77 ± 0.00 0.74 ± 0.01 0.76 ± 0.00 0.10 ± 0.00

Linear model VIS + NISP + SED 0.85 ± 0.01 0.78 ± 0.01 0.73 ± 0.01 0.75 ± 0.01 0.10 ± 0.01
MLP model VIS + NISP + SED 0.86 ± 0.01 0.78 ± 0.01 0.78 ± 0.01 0.78 ± 0.01 0.10 ± 0.01

Notes. The model with the best (i.e. the highest) performance is bolded.

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.