Open Access
Table 2
Definition of each performance metric used for the evaluation of the performance of our diagnostic tool.
| Description | Equation | |
|---|---|---|
| Term | ||
| True Positive (TP) | An object that has been correctly predicted to be in a specific galaxy class. | - |
| True Negative (TN) | An object is correctly predicted not to belong to a class. | - |
| False Positive (FP) | An object that is falsely predicted to belong to a galaxy class. | - |
| False Negative (FN) | An object that is falsely predicted not to belong to a galaxy class. | - |
| Performance metric | ||
| Accuracy | The ratio of the correct predictions to the total predictions made by the classifier. |  |
| Precision | The number of objects correctly predicted to belong to a class divided by the total objects that the classifier predicted to belong to that class. |  |
| Recall | The objects correctly predicted to belong to a class divided by all the objects that belong to that specific class. |  |
| F1-score | The harmonic mean of precision and recall. |  |
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.
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