Based on prior knowledge, the number of existing credits at a bank can potentially impact a person's creditworthiness. Higher values of the existing_credits feature may indicate a higher level of debt or obligations, which could reduce the likelihood of a person receiving credit. Conversely, lower values may suggest better credit management and increase the chance of receiving credit.

Here is the dictionary with typical existing_credits values for each target class:

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

In this case, the "yes" class represents individuals who receive credit, while the "no" class represents individuals who do not receive credit. For the "yes" class, indicative existing_credits values could include 2.0, 1.0, 3.0, 0.0, and 4.0. Similarly, for the "no" class, potential existing_credits values could be 1.0, 3.0, 0.0, 2.0, and 4.0.