Based on prior knowledge, the credit history feature is likely to have a strong relationship with the target variable "Does this person receive a credit?". People with a reliable credit history (such as "existing paid" or "all paid") are more likely to receive credit, while those with a less favorable credit history (such as "critical/other existing credit" or "delayed previously") may be less likely to receive credit.

Here is the generated dictionary:

```json
{
	"yes": ["existing paid", "all paid"],  
	"no": ["critical/other existing credit", "delayed previously"]
}
```

In this case, the possible values of the credit_history feature for the target class "yes" are "existing paid" and "all paid", indicating individuals with a positive credit history. The possible values for the target class "no" are "critical/other existing credit" and "delayed previously", suggesting individuals with a less favorable credit history.