Based on prior knowledge, we need to determine the appropriate ranges of ROE values for the target classes ('no' and 'yes') in order to analyze the relationship between the feature and the task.

To accomplish this, we will examine the typical ranges of ROE values for each target class. We will consider values that are commonly associated with chronic heart failure as belonging to the 'yes' class, while values outside this range will be considered as belonging to the 'no' class.

Once we have identified these typical ranges, we will select 5 representative values for each target class ('no' and 'yes') to include in the dictionary.

Here is the dictionary containing the typical ROE values for each target class:

```json
{
	"no": [1.0, 2.0, 3.0, 4.0, 5.0],
	"yes": [8.0, 9.0, 10.0, 11.0, 12.0]
}
```

Please note that these representative values are just examples and can vary depending on the specific dataset and domain expertise.