dmlc/xgboost

[Doc] Update list of winning solutions in data science competitions using XGBoost

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#6,173 opened on Sep 27, 2020

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Description

The demo directory shows a list of winning solutions for data science competitions that used XGBoost: https://github.com/dmlc/xgboost/blob/master/demo/README.md#machine-learning-challenge-winning-solutions

The list hasn't been updated since October 2017. It would be great if we can update this list.

How to update the list.

https://www.kaggle.com/competitions is a great place to start. For each completed competition, look for the first, second, and third-place solutions. If they used XGBoost (even as part of ensemble), create a pull request to add them to https://github.com/dmlc/xgboost/blob/master/demo/README.md.

There are other data science competitions as well. For example, XGBoost was used in the first winning solution of ACM RecSys 2020 Challenge.

Contributor guide

Tech stack
None
Domain
documentation
Issue type
documentation
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
clear
Prerequisites
gitmarkdownkaggle research
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
90
Research direction
Start by examining the file demo/README.md in the repository to understand the current format of the list. Then visit Kaggle competitions (kaggle.com/competitions) to find recent competitions and review winning solutions (1st, 2nd, 3rd place) for use of XGBoost. Also look at other data science competitions like the ACM RecSys Challenge. For each match, append an entry in the same format with a link to the competition and the winning solution. No pull requests are currently linked to this issue.
[Doc] Update list of winning solutions in data science competitions using XGBoost · dmlc/xgboost#6173 | Good First Issue