[USER (data scientist)]: Alright, now I want to create four groups based on whether they're young customers and have good credit history. Please generate the code with the output in [series, series, series, series] type.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd    
import pickle
from decision_company import read_csv_file, access_dataframe_loc, access_dataframe_loc, logical_and, filter_by_condition, check_elements_in_list, fetch_column, f_oneway

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

# save data
pickle.dump(group1,open("./ref_result/group1.pkl","wb"))

# save data
pickle.dump(group2,open("./ref_result/group2.pkl","wb"))

# save data
pickle.dump(group3,open("./ref_result/group3.pkl","wb"))

# save data
pickle.dump(group4,open("./ref_result/group4.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: Alright, let's create the four groups as follows:

# MY SOLUTION BEGIN:
