F1 Score
It represents the harmonic mean of precision and recall. It is defined as:
f1_score = 2*(precision * recall)/(precision + recall)
Example
from odin.classes import Metrics
my_metric = Metrics.F1_SCORE
# use my_metric as 'metric' parameter in the analyses
Tasks supported
| Binary Classification | Single-label Classification | Multi-label Classification | Object Detection | Instance Segmentation |
|---|---|---|---|---|
| yes | yes | yes | yes | yes |