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[英]How can I generate categorical synthetic samples with imblearn and SMOTE?
[英]How can I extract the newly added rows after SMOTE (imblearn module)
是否可以從 imblearn 的 smote function 創建的 pandas dataframe 中提取新添加的行?
我想我想通了。 顯然,它們被附加在 fit_resample 返回的 dataframe 的末尾:
我的目標是“死”
smotez = SMOTENC([10,11], random_state=555, k_neighbors=10)
smote_tomek = SMOTETomek(random_state=555, smote=smotez , n_jobs=-1)
X_train_new, y_train_new = smote_tomek.fit_resample(X_train, y_train)
train_data_new = pd.concat([X_train_new.iloc[1:],y_train_new],axis=1)
train_data_new.dropna(inplace=True)
smote_data = train_data_new.iloc[len(train_data)-1:,]
print("Y_train_smote:\n", npunique(smote_data['DIED']),smote_data['DIED'].mean())
如您所見,所有行都是少數 class(“DIED”)
Y_train_smote:[[1 91936]] 1.0
仔細檢查,下面的表達式應該返回 0:
print(len(smote_data) + len(X_train) - len(X_train_new))
0
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