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map@10 0.0072 Kaggle-Recruit Coupon Purchase Prediction Challenge

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Title Author First Created
Kaggle Coupon Purchase Prediction Challenge
Aakansh Gupta
October 5, 2015

This repo contains code for the Recruit Ponpare Coupon Prediction Challenge. It gives map@10 score 0.0072 on Private Leaderboard.

This was executed and tested on r3.8xlarge ami on AWS. Execution requires R 3.2.2 along with the package xgboost and others as mentioned in RunME.R.

To run do the following:

  1. Download the data
  2. Download the repo at the same location.
  3. Create a new folder 'raw_data' and unzip the data files in the folder.
  4. Install packages as required in RunMe.R
  5. Modify paths and run RunsMe.R
  6. A submission folder is then generated containing the submissions.

NOTE on using MyMediaLite for Matrix Factorization:

The binaries of the required version of MyMediaLite are already cloned inside the code folder in this repo. Just fulfill the requirements for running MyMediaLite:

  • Mono 2.8.x or another recent .NET runtime (Mono 2.10.x recommended)

Details about the implementation can be found in this blog post: http://datascience.blog.uhuru.co.jp/machine-learning/predicting-coupon-purchases-on-ponpare/

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