Based on my prior knowledge, I will assume that high blood pressure is a potential indicator of diabetes. Therefore, I will consider higher values of diastolic blood pressure as more likely to be associated with the target class "yes" (indicating diabetes). 

To conduct a thorough analysis, I would need a dataset that includes the values of diastolic blood pressure and the corresponding target variable indicating whether the person has diabetes or not. Without the dataset, I cannot provide a comprehensive analysis.

However, based on the given task, I can still generate a dictionary with typical blood pressure values for each target class:

```json
{
    "yes": [80.0, 85.0, 90.0, 95.0, 100.0],
    "no": [60.0, 65.0, 70.0, 75.0, 80.0]
}
```

Please note that these values are just examples and are not based on any specific dataset or analysis. Without actual data, it is not possible to provide an accurate analysis of the relationship between the diastolic blood pressure feature and the likelihood of having diabetes.