Based on the given feature description, the feature ROE (Erythrocyte sedimentation rate) is a numeric variable. To determine the appropriate ranges of values, we need prior knowledge about the feature and the task.

In general, the Erythrocyte sedimentation rate (ESR) is a non-specific marker of inflammation or tissue damage in the body. It is commonly used as an indicator of various medical conditions, including heart diseases such as myocardial infarction and chronic heart failure.

For the given task of determining if the myocardial infarction complications data of this patient show chronic heart failure, we can assume that higher values of ROE may indicate a higher likelihood of chronic heart failure.

To analyze the relationship between the feature ROE and the target variable (presence of chronic heart failure) in the myocardial infarction complications data, we can examine the distribution of ROE values for both the "no" and "yes" classes.

Since we don't have the actual data, we can only speculate and provide a general analysis. Let's assume the ranges of ROE values as follows:

- ROE range for the "no" class (no chronic heart failure): 0-20 mm/h
- ROE range for the "yes" class (chronic heart failure): 20-100 mm/h

Based on this assumption, here is the dictionary with the ROE values for each target class:

```json
{
  "no": [5.0, 10.0, 15.0, 18.0, 20.0],
  "yes": [25.0, 40.0, 60.0, 80.0, 100.0]
}
```

Please note that these values are just examples and may not reflect the actual relationship between ROE and chronic heart failure in the given data. To provide a more accurate analysis, it would be necessary to analyze the specific data and observe the distribution of ROE values for each target class.