[Final Week!] Leaderboard process, Winner announcement timeline, duplicate accounts

Hi,

Will tomorrow’s online event be recorded? I do not know if I will be able to connect in streaming, and I would like to see it later.

Thank you in advance!

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Sharing of industrial practice

Hi @davidlkl,

I work as an actuarial consultant at EY Spain. We do not normally participate in pricing projects. However, it is a topic that interests me personally and that is why I have participated in this competition.

I can tell you that Spanish insurers still mostly use GLMs. However, there are several large insurers that have started to introduce machine learning techniques for pricing. As well as in other aspects such as fraud detection.

With what I estimate that in 3 or 4 years the active use of all these models from an explainable machine learning perspective, in order to justify their use to the different national supervisory authorities.

Regards,

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Announcing a bonus round while you wait!

Thank you!!! @shivam

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Announcing a bonus round while you wait!

Hi, are rmse bonus leaderboard correct? It seems that if you have the lowest rmse you are in the last position.

Have a nice weekend!

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It's (almost) over! sharing approaches

It’s a shame the confusion. In my case, from the first moment I understood that the predictions with access to past information were only for the RMSE classification. In my opinion it is very clear in the instructions that the final leaderboard is only with information from year 5 and that it should be a model that works policy by policy, without past information.

In fact, I did a similar approach for other participants by saving some of the past information in my model. It would seem so unfair to me that the participants who have been confused do not participate after the work carried out as if they had advantages over those who have understood the methodology of the final classification.

I would propose that confused participants be allowed to adapt their model to receive only information from year 5. But they should not be able to change the price, or create new variables… Just make the minimum changes to be able to participate without any additional benefits.

Finally, I want to add that this is the best competition I have ever participated in. Congratulations to the organizers for the great work.

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Trouble creating the trained_model.Rdata file

Hi,

Yo can try something like this:

Save your model:

save_model <- function(model){

xgb.save(model, fname=‘saved_objects/trained_model.rds’)

}

Load your model:

load_model <- function(){

model = xgb.load(modelfile=‘saved_objects/trained_model.rds’)

return(model)
}

Good luck!

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PSA on submitting last minute

Many thanks. You are doing a spectacular job with this competition.

All the best.

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PSA on submitting last minute

Hi @alfarzan,

Could we find a similar solution to the problem I had at the last minute?

I attach the image of what has happened.

image1268×319 52.9 KB

I have uploaded my interest submission 45 minutes before the deadline. It took longer than that, I understand why the kernel was full. I think for the same reason it has ended up giving an error. From minutes later I have sent exactly the same submission and it has been evaluated correctly.

Please, would it be possible to take into account for the weekly profit leaderborad the submission number 122622 instead of the one currently selected, I have been working all day on it …

Thanks in advance.

Regards.

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LightGBM error in subbmission

Hi @alfarzan

Thank you so much!

I hadn’t used the saved_objects directory before, that was the problem. It works perfectly for me now.

Regards!

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LightGBM error in subbmission

Hi everybody,

I’m running into problems with lightgbm in R too (I’m using google colab notebook for my submissions).

As @michael_bordeleau said, lightgbm is difficult to handle. My problem, as said above, is in the saving /loading step.

I tested lgb.save/lgb.load and saveRDS.lgb.Booster/readRDS.lgb.Booster. With both alternatives my code runs ok in google colab but my submission fails.

I’m saving into save_model function each model into a different .rds file and loading them in the same way. In the review of my submission error I see a error message in the loading step: “Error in lgb.load(file = “trained_model_Freq.rds”) :
lgb.load: file ‘trained_model_Freq.rds’ passed to filename does not exist”.

So, It is mandatory save all models in a model object and save it into trained_model.Rdata? How is possible do that with specific functions of lightgbm?

My submissions ID is 120892.

Thanks in advance.

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Target leakage?

It seems very very strange to me too. In any case, the leaderboard that really matters is the profit one…

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Submission error: " [bt] (6) /usr"

Hello everyone,

Yesterday, @jocelyn 's proposed solution worked for me.

Regarding your problem @MakePredict. In a first attempt I ran into the same error as you. My solution was to open a new notebook installing the xgboost package as @jocelyn recommended.

Let me know if work for you.

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Submission error: " [bt] (6) /usr"

Hello,

It seems clear that it is a platform issue with the xgboost package.

Waiting administrators will shed more light on this problem.

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Submission error: " [bt] (6) /usr"

Hi @jyotish, I saw this same error related with the user @jeremiedb in the chat named "Tips on creating a successful submission. How was this problem solved?

I think I have understood that it is solved by installing by default the xgboost package among others. So I don’t know why it doesn’t work now.

Thanks in advance.

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Submission error: " [bt] (6) /usr"

Hi @alfarzan, thanks for your answer.

I have tried submission number 113154 again following your advice to save and load the model. The notebook works for me but on the platform it gives me the error “[bt] (7) /usr/lib/R/lib/libR.so(R”, as @MakePredict said.

From what I have been able to read it seems an error related to the need to install something additional, but I don’t know what it could be.

I remember that in this same chat @MakePredict commented that a notebook with which he made a correct submission no longer works for him.

Any idea what may be happening?

Thanks in advance.

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Submission error: " [bt] (6) /usr"

Thanks for your answer. I am also using xgboost. And trying several things it works in the notebook but it gives an error when uploading the submission.

It could be what you comment on the xgboost update… Let’s see if the organizers can clarify us.

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Submission error: " [bt] (6) /usr"

Hi, could someone help me with the error “[bt] (6) / usr” of my submisson 113079? I’m trying various things but cannot detect the error.

Maybe with the error full traceback could solve it. @alfarzan

Thanks in advance!

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RMSE evaluation error - "pod deleted during operation"

Yes! Thank you for your response.

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RMSE evaluation error - "pod deleted during operation"

Hi @alfarzan,

I am having the exact same issue. The notebook works perfectly in my drive but when I submit, I get an error and I get the message “pod deleted during operation”.

Could you help me understand this error in my case?

My submission number is 112659.

Thanks in advance.

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