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 am training LGCN on some custiom dataset. Training seems to run somehow but I get the following warning.
"/home/redion/redion_files/learn-to-cluster/faceCluster/lib/python3.6/site-packages/sklearn/metrics/_classification.py:1272: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use zero_division parameter to control this behavior.
_warn_prf(average, modifier, msg_start, len(result))
"
What does this mean ? I get 97 percent accurracy but precision and recall are 0.
The text was updated successfully, but these errors were encountered:
If precision is high but recall is low, it usually means the clustered results consist of many small clusters. In an extreme case, each instance is taken as a clustere. A possible reason may lie in the wrong linkage when building the graph. Checking the built graph or the training loss may help.
Hi ! I am training LGCN on some custiom dataset. Training seems to run somehow but I get the following warning.
"/home/redion/redion_files/learn-to-cluster/faceCluster/lib/python3.6/site-packages/sklearn/metrics/_classification.py:1272: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use
zero_division
parameter to control this behavior._warn_prf(average, modifier, msg_start, len(result))
"
What does this mean ? I get 97 percent accurracy but precision and recall are 0.
The text was updated successfully, but these errors were encountered: