```json
{
    "yes": [35.6, 37.8, 41.2, 43.3, 46.7],
    "no": [22.1, 24.9, 26.5, 28.3, 30.8]
}
```
Based on prior knowledge, a higher BMI is generally associated with an increased risk of diabetes. Therefore, for the target class "yes" (indicating that the person has diabetes), the list of possible BMI values includes examples of higher BMI values such as 35.6, 37.8, 41.2, 43.3, and 46.7. These values represent individuals with a higher likelihood of having diabetes.

Conversely, for the target class "no" (indicating that the person does not have diabetes), the list of possible BMI values includes examples of lower BMI values such as 22.1, 24.9, 26.5, 28.3, and 30.8. These values represent individuals with a lower likelihood of having diabetes.

Keep in mind that this analysis is based on general knowledge and may not capture the full complexity of the relationship between BMI and diabetes. Other factors, such as age, gender, and lifestyle, should also be considered for a more accurate assessment.