Based on prior knowledge, we can analyze the relationship between the feature "np_05" and the presence of chronic heart failure in myocardial infarction patients. Since "np_05" represents the presence of LBBB (anterior branch) in the anamnesis, we can assume that it is related to certain complications.

To create the dictionary, we need to consider the different categories of "np_05" and how they relate to the presence or absence of chronic heart failure in the data.

Based on the provided feature description, the possible values for "np_05" are "no" and "yes". Let's analyze how these values relate to the presence or absence of chronic heart failure:

1. When "np_05" is "no":
   - It is unclear whether this indicates the absence of LBBB (anterior branch) in the anamnesis or if the information is missing. Without further information, it is difficult to determine the relationship between "no" in "np_05" and chronic heart failure. However, since we need to provide a list of string values for each target class, we can include "no" in the dictionary.

2. When "np_05" is "yes":
   - It is unclear what specifically the presence of LBBB (anterior branch) in the anamnesis indicates in relation to chronic heart failure. Without further information, it is difficult to determine the relationship between "yes" in "np_05" and chronic heart failure. However, we can include "yes" in the dictionary for completeness.

Based on these analyses, the dictionary can be constructed as follows:

```json
{
	"no": ["no"],
	"yes": ["yes"]
}
```

This dictionary indicates that for the target class of chronic heart failure being present, there is at least one instance where "np_05" is "yes". Additionally, for the target class of chronic heart failure being absent, there is at least one instance where "np_05" is "no".

Please note that without further information or an understanding of the dataset, this analysis is based purely on assumptions and general knowledge about myocardial infarction complications and LBBB.