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This tag is meant to be used for questions related to how to evaluate a model performance, not only based on standard metrics, but also in the context of real use case applications. What is a good model might depend on many factors to take into account, to eventually get really useful data science applications.
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Xgboost model predicting extreme values for events and non-events | Overfitting
Extreme values are predicted by my trained xgboost classification model in BQML for both events (Y=1) and non-events (Y=0). For all event observations, the model calculates probability scores that ar …