[USER (data scientist)]:Now let's answer the third question. We want to find clients who have multiple existing credits and high installment commitments among the clients we filtered in the first step. Please provide the result type as a list of client IDs with multiple existing credits and high installment commitments. 
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd  
import pickle 
from decision_company import read_csv_file, calculate_median, filter_by_condition, create_condition, logical_and, fetch_index, convert_to_list, fetch_column

# Load the dataset  
credit_customers = read_csv_file("credit_customers.csv")  

# YOUR SOLUTION BEGIN:
<code1>
[GENERATE YOUR CODE]
</code1>
# YOUR SOLUTION END

print(result_list)

# save data
pickle.dump(result_list,open("./pred_result/result_list_3.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: Sure, I can help you with that.

# MY SOLUTION BEGIN:
