#mitsui-commodity-prediction-challenge
1 messages · Page 1 of 1 (latest)
Looking for serious people to colab with for this contest
to get top 20 and work 2-3 hour per day or work hard
Hey @simple prairie i am interested in joining you.
Hey @simple prairie I am interested to join you
dm
Hey @simple prairie I am interested in joining you
Looking to team up for this comp. Would be great to work on a shared repo and maximise learnings and exploring interesting techniques rather than chase leaderboard. Especially anyone who is based in London and is willing to do in person coding sessions
Hey kagglers,
If you're diving into the this comp - check out my latest discussion post on why WarpGBM (my co-created GPU-accelerated GBDT lib) could be a game-changer—especially its invariant learning for handling market regime shifts and lagged time-series data.
It offers ultra-fast training, robust generalization, and easy integration. Perfect for boosting your models in volatile commodity forecasting!
Discussion here: https://www.kaggle.com/competitions/mitsui-commodity-prediction-challenge/discussion/593904
According to you which model works best for this competition?
I'm not sure yet will have to run experiments but I think invariant learning from warpgbm should outperform other gbms in terms on generalization but ideally an era wise ensemble of different models should be a good bet
In numer.ai competition which is similar warpgbm does pretty decently in preliminary testing
The primary issue with this comp is the lack of public test so we have to really on generalization solely based of CV which makes honest experimentation the most important aspect
Yeah okay I get it.I will use warpgbm as well as use ensembling of other models and will see which models work the best !
Let me know how it goes and just dm me if you need any help!
Hello everyone, looking to team up with someone based in Cali or elsewhere in the US. I can contribute several hours most days of week after 4 pm PST. Please let me know!
Hi, I am also in London. Send me a DM?
have you tried?
Currently studying the impact of technical indicators and thier effectiveness in building stock predicting models. Looking for team mates to help study other critical areas that will help our model and what approach to use. If interested, kindly send a DM
Good afternoon, currently failing after receiving "notebook inference server errors" (I've never gotten past this) after submitting my submission.parquet. I've got a good model team with LightGBM and XGBoost, thinking about adding a training model to minimalise RMSE. I know the competition is judged on the Spearman rank correlation...
Hello, currently trying to do some feature engineering, but I think the current data does not have enough "info" to actually derive something useful. I imagine it's fine to make API requests for other datasets or do we have to use the included data only? The predictions are accurate only to a certain degree, but if I can obtain more data from other sources, I would make things a lot better
@mortal elbow same boat I'm in. This is a very tough challenge with the quirky API.
I don’t think it is allowed to do that man
yeah good luck with that shit, I've got a boilerplate working, and the advanced featureset is getting tough to get my inference speed down to where I'm not flunking
vectorized prediction and batch processing debugging today, how is everyone else doing?
GTFO scammer
yay! finally got on the LB at #333!!
Looking for last member for Mitsui comp, looking for someone who has past Kaggle experience and prioritises learning over chasing leaderboard scores.
oh look more trash made its way in here!
Looks like it was structured to be a complete end-to-end workflow, so yeah.
Trained the prophet model using only the training data and fitted a model to predict values for the test set dates.
look at the finals cells - they're dedicated to putting the predictions into a submission.
I tried this approach myself and got pretty shit results.
finally got that score up to the .7 range!! How's everyone doing?
GTFO scammer
Hey everyone, I just arrived, and Mitsui Commodity Prediction is the first competition I'm participating in.
Is this a good score?
{
evaluation_method": "mean_target_correlation / std_target_correlation"
"enhanced score": 0.8383663342668812,
"baseline_score": -0.001835422346098309,
"improvement": 0.8402017566129796,
"mean_target_correlation": 0.0701314224109782,
"std_target_correlation": 0.0836524792855684,
"num_valid_targets": 424,
"positive_targets": 328,
"strong_targets": 157,
"excellent_targets": 27,
}
As it's my first competition and I’ve never used the Kaggle notebook interface, I would like someone to help me with the submission process.
:(
anyone else having difficulty adding the mitsui input set
I go to add the input.. and get "error: internal error"
yeah the data source won't even open on an empty notebook. Anyone else?
Hi Daniel, please GTFO and don't come back.
Where'd you wind up on the LB with that?
Nvm I actually submitted my first prediction
Got 0.34 of public score is this good?
Hi @vivid holly are you still up for a team-up? I live in Stratford-upon-Avon, can make it to London maybe once a month? In the meantime, we can have an introductory over Google Meet. I am here mainly to learn.
Quick question, assuming there's a date t, targets A,B,C and D. Is it allowed to predict A at t using B,C and D?
no, just using X
Hello, This is Chirag. I hope all is good. Noob here.. trying to level up via this competition
Hi! Anyone still up for teaming? Want to learn and progress together. Currently 434 on the leaderboard. DM me if interested. Score 3.030
@serene kelp I'm right there with you in the same scoring area, good luck to you!
Get this bullshit out of here.
hey i am new to these kaggle challenges. Can anyone please help me get an idea what the submission output should look like. Is it 1 file, date x targets long or is it 4 files each of them being dates x targets_lag(x) long where x is 1-4.
hey, i am new to kaggle and a noob overall. I've tried to run a baseline submission. I submitted the demo submission and it worked fine. Then I changed the definition of prediction, replacing the i / 1000 part with 0 to get a baseline. But I keep getting submission scoring error. I've also tried 0.0 and 0*(i/1000), same error.
Hello, I want help with something cause I am kinda new submitting to this type of comp
I have been troubleshooting a Submission Scoring Error all day and now I official got Kaggle Error during submission, with the exact same pattern as demo submission and the resulting parquet file 1-1 with the demo submission in terms of schema (134 rows, 425 cols), date_id as int64 and the others as floats (essentially my local gateway works fine but for some reason kaggle hates me). If someone more experience wants to help me I can provide my nb in dms.. and I would pretty much appreciate it
You should output to the server you predictions for the day batch using your predict(), the rest will be handled by the server in either the local gateway or the public gateway during private scoring.. mimic the demo submission and all will be fine, the server takes care of making the parquet file
I know I am annoying and it's also the weekend but I am really starting to lose it.. if anyone... anyone who has troubleshooted a similar issue for this comp exists in here.. pls help
I've fixed this problem by adding a random term because apparently I was dividing by 0 variance. I think I'm missing something crucial. Can someone explain why I'd be dividing by the variance of the returns of the targets?
any1 wanna team up with me for this competition
Hey Team,
After submitting notebook seeing
Notebook inference server never started. Notebook is running for a long time. Is it because we need to call inference server module in first 15 min? If so do I simply call without predict or how should I approach this? This is my first time with inference server. Would really appreciate your inputs in this.
i've fixed this problem by adding a random term becauseapparently I was diving by 0 variance. I think I'm missing something crucial. Can someone explain why I'd be dividing by the variance of the returns of the targets?
any one doing local validation and able to match submission score?
Yo what’s the difference between entrants and participants in the competition?
also how do you download the data lol
Btw just to be clear Im not the daniel people were getting mad at earlier (I literally just joined like 5 days ago lol)
Where was this event?
Hi
!rank
Hi
Hey, anybody willing to discuss about industrial project ? I need help 😫
Anyone's notebook crash/booted out the leaderboard after the final rerun?