Based on my prior knowledge, I will analyze the relationship between the ROE (Erythrocyte sedimentation rate) feature and the presence of chronic heart failure in the myocardial infarction complications data.

Since I don't have access to the actual dataset, I will provide a general analysis based on common knowledge:

1. No: If the target class is "no" (indicating no chronic heart failure), typical ROE values could range from 0 mm/h to 15 mm/h. Representative values for this class could be: [2.5, 5.6, 8.3, 11.1, 13.9].

2. Yes: If the target class is "yes" (indicating presence of chronic heart failure), typical ROE values could range from 20 mm/h to 120 mm/h. Representative values for this class could be: [25.2, 45.6, 68.8, 93.3, 118.7].

Based on this analysis, the generated dictionary would be:

```json
{
	"no": [2.5, 5.6, 8.3, 11.1, 13.9],
	"yes": [25.2, 45.6, 68.8, 93.3, 118.7]
}
```

Note: These values are just hypothetical examples based on common knowledge. The actual relationship between the feature and the target class would require analyzing real data.