To analyze the relationship between the feature L_BLOOD and the task of whether the patient shows chronic heart failure, we need to consider the typical ranges of white blood cell count (L_BLOOD) in patients with and without chronic heart failure.

Based on prior knowledge, normal white blood cell count ranges from 4 to 11 billion per liter. However, elevated white blood cell count can be a sign of inflammation or infection, which could be related to chronic heart failure.

Let's assume that a white blood cell count above 11 billion per liter can be an indication of chronic heart failure. With this assumption, we can analyze the relationship between L_BLOOD and the target variable.

Based on this analysis, we can create a dictionary with the specific details:

```json
{
	"no": [4.3, 5.1, 6.2, 7.4, 8.8],
	"yes": [10.2, 11.9, 12.5, 13.8, 15.6]
}
```

In this example, we provided 5 typical values for each target class ('no' and 'yes'). The values presented are floats representing the white blood cell count (L_BLOOD), assuming they fall within the appropriate ranges for each class. Keep in mind that these values are hypothetical and should be interpreted in the context of the specific dataset being analyzed.