3 votes
Accepted

Xgboost model predicting extreme values for events and non-events | Overfitting

This is not necessarily overfitting, but it may indicate data leakage i.e you are passing information to the model that is not supposed to be there it may be: Information that is generated after the ...
Multivac's user avatar
  • 2,959
1 vote
Accepted

Medical Predictive AI Model, Calibration Curve axes representation order

The argument for putting predicted probability on the horizontal axis seems to be: When we plot, we typically put the predicted value on the vertical axis, and the horizontal axis is for the value ...
Dave's user avatar
  • 3,833
1 vote

Xgboost model predicting extreme values for events and non-events | Overfitting

A high score on the test set does not indicate overfitting. See Why 100% accuracy on test data is not good? ; you're not quite reaching perfect performance, but you're quite close, and in that seeing ...
Ben Reiniger's user avatar
  • 11.8k

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