Based on prior knowledge, it is difficult to predict the relationship between the feature TIME_B_S and the presence of chronic heart failure in patients with myocardial infarction complications. However, we can still analyze the distribution of TIME_B_S values within the two target classes.

Here is the dictionary representing the relationship between feature TIME_B_S and the presence of chronic heart failure:

```json
{
	"no": ["2-4 hours", "less than 2 hours", "4-6 hours", "6-8 hours", "8-12 hours", "more than 3 days", "more than 2 days", "12-24 hours", "more than 1 days"],
	"yes": ["2-4 hours", "less than 2 hours", "4-6 hours", "6-8 hours", "8-12 hours", "more than 3 days", "more than 2 days", "12-24 hours", "more than 1 days"]
}
```

In this case, both target classes (yes and no) have the same possible values for the feature TIME_B_S.