Based on prior knowledge and analysis, the feature "Pregnancies" could be relevant in determining whether a person has diabetes or not. 

To create the dictionary, I will first identify typical values of "Pregnancies" for each target class 'yes' and 'no'. 

The range of values for "Pregnancies" could vary depending on the dataset, but based on general knowledge, I will assume the following ranges for this analysis:
- 'yes' (diabetes positive): 5 or more pregnancies
- 'no' (diabetes negative): 0 to 4 pregnancies

Using these assumptions, the dictionary can be generated as follows:

```json
{
	"yes": [5.0, 6.0, 7.0, 8.0, 9.0],
	"no": [0.0, 1.0, 2.0, 3.0, 4.0]
}
```

Please note that these values are simply assumptions based on general knowledge, and the ranges could be different depending on the specific dataset being analyzed.