Based on prior knowledge, the feature "previous" represents the number of contacts performed before this campaign and for this client. It is a numeric variable that can take on various values.

To analyze the relationship between the feature "previous" and the target variable (whether the client subscribed to a term deposit), we can examine the average values of "previous" for clients who did and did not subscribe to a term deposit. Additionally, we can identify typical values for both classes.

Here is a dictionary representing the relationship between the feature "previous" and the target variable:

```json
{
	"no": [0.0, 1.0, 2.0, 3.0, 4.0],  
	"yes": [0.0, 1.0, 2.0, 3.0, 4.0]  
}
```

These are just a few example values, and the actual values may differ depending on the dataset and analysis.