Based on my prior knowledge, I will analyze the relationship between the feature L_BLOOD (White blood cell count) and the presence of chronic heart failure in the myocardial infarction complications data.

Analysis:
White blood cell count is a measure of the number of white blood cells present in a specific volume of blood. High levels may indicate an active immune response or an infection, while low levels may indicate a weakened immune system. In the context of myocardial infarction complications data, chronic heart failure is a potential outcome that may be associated with elevated blood cell counts due to chronic inflammation or ongoing infection.

To determine the relationship between L_BLOOD and chronic heart failure, we can analyze the feature distribution for both target classes (yes and no).

Based on this analysis, we can create a dictionary that includes typical L_BLOOD values for each target class ('no' and 'yes').

```json
{
	"no": [6.2, 5.9, 5.5, 5.8, 5.7],
	"yes": [8.1, 8.7, 8.5, 7.9, 8.3]
}
```

Note: These values are hypothetical and provided as examples. Actual values should be determined based on the available data.