TypeError: 'numpy.float64' 对象不可调用 - 打印 F1 分数时

exc*_*man 7 python scikit-learn logistic-regression

我正在尝试在 Jupyter Notebook 上运行以下代码:

lr = LogisticRegression(class_weight='balanced')
lr.fit(X_train,y_train)
y_pred = lr.predict(X_train)

acc_log = round(lr.score(X_train, y_train) * 100, 2)
prec_log = round(precision_score(y_train,y_pred) * 100,2)
recall_log = round(recall_score(y_train,y_pred) * 100,2)
f1_log = round(f1_score(y_train,y_pred) * 100,2)
roc_auc_log = roc_auc_score(y_train,y_pred)
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当尝试执行此操作时,我收到以下错误:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-46-bcb2d9729eb6> in <module>
      6 prec_log = round(precision_score(y_train,y_pred) * 100,2)
      7 recall_log = round(recall_score(y_train,y_pred) * 100,2)
----> 8 f1_log = round(f1_score(y_train,y_pred) * 100,2)
      9 roc_auc_log = roc_auc_score(y_train,y_pred)

TypeError: 'numpy.float64' object is not callable
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似乎无法弄清楚我做错了什么。

run*_*run 15

在您的代码中的某个位置(此处未显示),有一行显示f1_score = ...(书面类型为numpy.float64),因此您将使用f1_score变量覆盖该方法f1_score(该变量不可调用,因此会出现错误消息)。重命名两者之一以解决错误。