I am trying to run below code on Jupyter Notebook:
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)
When trying to execute this, I am getting the below error:
---------------------------------------------------------------------------
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
Can't seem to figure out what I am doing wrong.
Somewhere in your code (not shown here), there is a line which says f1_score = ... (with the written type being numpy.float64) so you're overriding the method f1_score with a variable f1_score (which is not callable, hence the error message). Rename one of the two to resolve the error.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With