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Data organized into discrete categories or *classes* may present problems for certain analyses if the number of observations ($n$) belonging to each class is not constant across classes. Classes with unequal $n$ are *unbalanced*.
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Perfect recall but moderate precision due to imbalance?
I have a patient dataset on which I trained a RF classifier to predict whether a patient ends up in the hospital or not. Nevertheless, this dependent variable is imbalanced (66% of the patients ended …
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F1 weighted vs. Log loss in SciKit learn RandomSearchCV
I am sorry to ask another question regarding this topic but I am still puzzled about the following:
When I use 'F1_weighted' as my scoring argument in a RandomizedSearchCV then the performance of my b …