Hi in the insurance motor princing competition
For example for policy pl025631
I can t understand how come the claim amount can get bigger than the vh-value and how come after the accident the pol-no-claim-discount doesnt raise by 0.2.
That’s an interesting point about the claim_amount
Vs vh_value
. This is just how it is for the vast majority of the claims I believe. I would be surprised if it’s try for all claims since you will find that in the training data there are some claims that are very very large.
Regarding the pol_no_claim_discount
column, yes this is unfortunately a side effect of this being a real dataset. Please see this discussion for more.
Sorry i did not understand the answer
for 380 the claimamount is bigger thanthe value of the car
is it because for example he caused damage to another car or its a mistake?
Essentially yes. But please correct me if I’m wrong but you’re asking:
How can the
claim_amount
be larger than thevh_value
if the worst possible claim just means you lose your car?
If that is a correct interpretation then the answer is that the claims in this dataset include third party liability claims which is exactly the damage caused to a third party. Could be a car, could be other things like a wall or a street or even a person.
In fact, most claims are of this type. You can see this explained under the pol_coverage
column in the data dictionary found under the resources tab.
Yes, the damages caused to other property or people is covered, that is what “third party liability” is.
The reason you need to buy insurance even if you own a 25 yo piece of shit car is third party. You could crash into a parked lamborhini and be liable for the replacement of THAT car. Depending on the country, You could also injure a pedestrian and need to pay for medical treatment for that person for years to come.
Thanks that was my question
Another question since the claim amount is homoginized and there is no clear indication what is called a claim (with malus) and what is a small damage (window broken for ex with no malus) is it possible for you to give us or a number for ex 200 ,under which we are sure its not a claim, or to add a field which will indicate what is the kind of the loss cause please?
Thx
I would love to know this detail myself however this was not provided to us by the data provider so I can’t say anything for certain.
Having said that, I think online you can find heuristics that might help you build that taxonomy yourself. Though I have no concrete sources to offer.