Closed paulachocron closed 3 years ago
You can try changing parameters like class_balance and regularization to see whether that gives better results (see this tutorial and documentation for examples).
We can also help debug further here if we have access to the L
matrix for this data.
This issue is stale because it has been open 90 days with no activity. Remove stale label or comment or this will be closed in 7 days.
I'm seeing some strange predictions on my data. I have labels 0 and 1. I defined 5 labeling functions which sometimes abstain.
When I train a LabelModel with cardinality=2 (the real value), it predicts always 0. I see points where 4 lfs return 1, one abstains, and the predictions is 0. Even points where all lfs return 1, yet the model predicts 0. When I set cardinality=3 results seem much more reasonable. But it's not the real value!
Any thoughts on what could be happening?
This is my
LFAnalysis(L_train).lf_summary()