Based on my prior knowledge, the relationship between the credit_amount feature and the task of whether a person receives a credit can vary. However, typically, higher credit amounts may indicate a higher likelihood of receiving a credit. 

Based on this analysis, I will generate a dictionary with typical credit_amount values for each target class:

```json
{
	"yes": [1000.0, 2000.0, 3000.0, 4000.0, 5000.0],
	"no": [500.0, 100.0, 200.0, 300.0, 400.0]
}
```

Please note that these credit_amount values are just examples and may not represent the actual relationship in the dataset you are working with.