[USER (data scientist)]: Awesome! Lastly, how do I calculate the accuracy of my model? Please calculate a value of the accuracy of the Logistic Regression model on the test set from the 'credit_customers' dataset.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd 
from sklearn.metrics import accuracy_score 
import pickle
 
# Load the dataset 
credit_customers = pd.read_csv("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
<code1>
[COMPLETE YOUR CODE]
</code1>
# YOUR SOLUTION END

print(acc)

# save data
pickle.dump(acc,open("./pred_result/acc.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: You can use the 'accuracy_score' function from the 'sklearn.metrics' module to calculate the accuracy. Here's the code for that:
'''
import pandas as pd 
from sklearn.metrics import accuracy_score 
import pickle
 
# Load the dataset 
credit_customers = pd.read_csv("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
