Based on my prior knowledge, I can analyze the relationship between the feature "balance" and the task of determining whether a client subscribes to a term deposit or not.

In general, clients with higher bank balances may be more likely to subscribe to a term deposit compared to those with lower balances. However, this relationship may not be linear and could vary based on individual preferences, economic conditions, and other factors.

To create the dictionary with typical balance values for each target class, I will assume that a "yes" target class refers to clients who subscribed to a term deposit, while a "no" target class refers to clients who did not subscribe.

Here is the dictionary with the balance values for each target class:

```json
{
	"no": [0.0, 1000.0, 2000.0, 5000.0, 10000.0],
	"yes": [5000.0, 10000.0, 15000.0, 20000.0, 30000.0]
}
```

Please note that the values I provided above are just examples and should not be considered as absolute or exhaustive. The actual balance ranges for each target class may vary based on the specific dataset and analysis conducted.