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If churn prediction data is extremely imbalanced, what is effective for improving model performance?
①Remove all explanatory variables
②Use only accuracy as the evaluation metric.
③Adjust class balance through resampling or weighting.
④Leave the training data as is without adding more.
⑤Randomly reassign labels.