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AI workflow bugs often fail silently, producing believable numbers instead of tracebacks. Key mistakes include data leakage, where SelectKBest fit on all rows reports 0.83 accuracy on noise versus 0.49 with proper pipelines. GroupShuffleSplit drops accuracy from 0.97 to 0.89, and model.eval() differs from torch.no_grad().
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