```json
{
    "yes": ["none", "guarantor", "co applicant"],
    "no": ["none"]
}
```
Explanation: 
Based on the given feature of "other_parties", we can analyze its relationship with the target variable of "Does this person receive a credit?".

- For the target class "yes" (person receives a credit), it is possible to have three values for "other_parties": "none", "guarantor", and "co applicant". This means that individuals who have no other debtors or guarantors, or who have someone acting as a guarantor or co applicant, are likely to receive credit.

- For the target class "no" (person does not receive a credit), the only possible value for "other_parties" is "none". This suggests that individuals without any other debtors or guarantors are less likely to receive credit.

Based on this analysis, the dictionary is created with the above format, presenting the possible values of "other_parties" for each target class.