After analyzing the relationship between the feature "installment_commitment" and the task of whether a person receives credit or not, we can create a dictionary with the following details:

```json
{
	"yes": [0.0, 2.0, 4.0, 6.0, 8.0], 
	"no": [10.0, 12.0, 14.0, 16.0, 18.0] 
}
```

For the target class "yes", typical values of the feature "installment_commitment" can range from 0.0 to 8.0. On the other hand, for the target class "no", typical values of the feature can range from 10.0 to 18.0. 

Please note that these values are just examples and should be adjusted based on the specific dataset and domain knowledge.