Based on prior knowledge, the number of times a person has been pregnant (Pregnancies) can be a relevant feature to determine whether or not they have diabetes. However, it is important to note that the relationship between pregnancies and diabetes is not necessarily straightforward, as diabetes can be influenced by various factors such as genetics, lifestyle, and overall health.

To analyze the relationship between the feature Pregnancies and the task of determining whether a person has diabetes or not, we can examine the distribution of the Pregnancies values for each target class.

Here is the dictionary containing the lists of typical Pregnancies values for each target class:

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

In the "yes" class (people with diabetes), typical pregnancies values range from 0 to 4.0. This suggests that there is a wide range of pregnancies values among individuals with diabetes, with some individuals having never been pregnant and others having been pregnant up to 4 times.

In the "no" class (people without diabetes), typical pregnancies values range from 1 to 5.0. This indicates that among individuals without diabetes, there is a similar range of pregnancies values, with some individuals having been pregnant at least once and others up to 5 times.

Please note that these typically values may vary depending on the dataset being used and specific factors influencing the relationship between Pregnancies and diabetes. Therefore, it is important to consider the specific data being analyzed when interpreting these results.