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

Based on prior knowledge, the number of times a person has been pregnant (Pregnancies) can be used as a feature to predict if a person has diabetes or not. Analyzing the relationship between the feature and the task, we can observe the following:

- For the "yes" class (person has diabetes), typical values for the number of pregnancies are 4, 3, 6, 7, 9.
- For the "no" class (person does not have diabetes), typical values for the number of pregnancies are 1, 0, 2, 5, 8.

These values have been determined based on the assumption that higher number of pregnancies can potentially correlate with an increased risk of diabetes. However, it is important to note that further analysis using statistical methods and domain knowledge should be conducted to establish a more accurate relationship between the feature and the target variable.