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What important points should be considered when adjusting the threshold for imbalanced data?
①The threshold should always be fixed at 0.5.
②Lowering the threshold will always improve accuracy.
③Threshold adjustment is unnecessary because it does not affect the model structure.
④You can complete threshold selection by looking at the ROC curve alone.
⑤Depending on the objective, set the threshold based on the PR curve and costs, taking into account the trade-off between precision and recall.