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
I am trying to use your classifier chain implementation on my set of features and using an xgboost classifier instance. I have double checked my training feature set and the training labels that I pass to the classifier chain instance. But, the predictions by using classifier chains drastically reduces. If I just use a simple xgboost classifier without chaining them, I get an F1 score of around 0.80 both on training and testing set. But, by using classifier chains, my F1 score goes down to 0.50 which is really low. Any thoughts on why would this be?
Thanks,
Pawan
The text was updated successfully, but these errors were encountered:
I've used slightly modified version Classifier Chain from scikit-learn PR. Some kind of problems may be due to the type of predictions: 0,1 labels, or probability. Could you post your code?
Hi,
I am trying to use your classifier chain implementation on my set of features and using an xgboost classifier instance. I have double checked my training feature set and the training labels that I pass to the classifier chain instance. But, the predictions by using classifier chains drastically reduces. If I just use a simple xgboost classifier without chaining them, I get an F1 score of around 0.80 both on training and testing set. But, by using classifier chains, my F1 score goes down to 0.50 which is really low. Any thoughts on why would this be?
Thanks,
Pawan
The text was updated successfully, but these errors were encountered: