Based on the given feature description and task, the "installment_commitment" feature represents the installment rate in percentage of disposable income. To determine the appropriate ranges of values for this feature, we need to consider the typical range of installment rates that are likely to determine whether a person receives credit or not.

Typically, if the installment rate is too high, it may indicate a high financial burden for the individual, making it difficult for them to manage additional credit. On the other hand, if the installment rate is low, it may suggest that the person has a lower level of existing financial commitments, making it easier for them to manage additional credit.

Based on this analysis, we can create a dictionary with the following information:

```json
{
	"yes": [10.0, 15.0, 20.0, 25.0, 30.0],
	"no": [40.0, 45.0, 50.0, 55.0, 60.0]
}
```

In this dictionary, the "yes" key represents the target class for individuals who receive credit, and the "no" key represents the target class for individuals who do not receive credit. The values for each key represent typical installment_commitment percentages for each target class.

Please note that the values provided in the dictionary are just examples and may vary depending on the specific dataset and context.