[USER (data scientist)]: Lastly, can you show me the feature importances of the logistic regression model? Please generate the code with the output in dataframe type.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd   
import pickle
from decision_company import read_csv_file, encoder_instance, encode_column, choose_data_types, get_columns, corr, create_figure, show_plots, set_plot_title, save_plot, remove_labels, divide_dataset, create_LR_instance, classifier_training, classifier_predictions, fetch_column, create_heatmap

# Load the dataset  
credit_customers = read_csv_file("credit_customers.csv") 
  
# YOUR SOLUTION BEGIN:
<code1>
[GENERATE YOUR CODE] 
</code1>
# YOUR SOLUTION END

print("\nFeature Importances:")   
print(feature_importances)  

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Sure thing! To display the feature importances, you can create a DataFrame with the coefficients of the logistic regression model. Here's the code for that:

# MY SOLUTION BEGIN:
