You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi,
I believe the F1 Score has a very statistical significance and should be classified with the likes of accuracy, precision especially when dealing with machine learning.
The F1 score is the harmonic mean of the precision and recall. The two metrics contribute equally to the score, ensuring that the F1 metric correctly indicates the reliability of a model
Also, it's important to stick to a standard when annotating and I believe this standards makes using a model FAIR.
I kindly request the term F1 score be added to the STATO ontology.
Thanks.
Hi,
I believe the F1 Score has a very statistical significance and should be classified with the likes of accuracy, precision especially when dealing with machine learning.
The F1 score is the harmonic mean of the precision and recall. The two metrics contribute equally to the score, ensuring that the F1 metric correctly indicates the reliability of a model
Also, it's important to stick to a standard when annotating and I believe this standards makes using a model FAIR.
I kindly request the term F1 score be added to the STATO ontology.
Thanks.
@proccaserra
The text was updated successfully, but these errors were encountered: