To analyze the relationship between the feature "safety" and the target variable "decision to buy this car", I will examine how the different levels of safety are associated with the ratings of the decision. 

Based on prior knowledge, it can be expected that cars with higher safety ratings are more likely to be rated as "good" or "very good" decisions to buy. On the other hand, cars with lower safety ratings are more likely to be rated as "unacceptable" decisions.

Here is the generated markdown code snippet with the analysis results:

```json
{
	"unacceptable": ["low"],  
	"acceptable": ["med"],  
	"very good": ["high"], 
	"good": ["med", "high"]
}
```

According to the analysis, cars with the safety rating of "low" are more likely to be considered an "unacceptable" decision. Cars with the safety rating of "med" can be considered an "acceptable" decision, while cars with the safety ratings of "med" and "high" are more likely to be rated as "good" decisions. Cars with the safety rating of "high" are more likely to be rated as "very good" decisions.

It is important to note that this analysis is based on general knowledge about the relationship between safety and the decision to buy a car. The actual relationship may vary depending on other factors and individual preferences.