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利用Logistic回归实现信用卡欺诈检测

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将os_features, os_labels = oversampler.fit_sample(features_train, labels_train)修改为os_features, os_labels = oversampler.fit_resample(features_train, labels_train) 现在的版本为imbalanced-learn(0.8.0) 用原来的报错AttributeError: 'SMOTE' object has no attribute 'fit_sample' (现在要用到机器学习,正在学,感谢大佬上传的代码)