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maxlin_submission/ contains the codes Max Lin developed for the Dataist's R recommendation engine contest. His final submission achieved AUC of 0.983289 and was placed second. Other data and codes are from the contest organizer.
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maxlin_submission
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README.markdown
example_model.R
example_model_2.R
example_model_3.R
extract_graphs.R
get_documents.rb
get_maintainers.R
get_packages.R
get_views.rb
install_packages.R
model_assessment.R
topic_models.R

README.markdown

Introduction

For information about this contest, please see the official Kaggle.com contest website or the official contest announcement on Dataists.com.

Getting Started

To start working on this contest, simply download/clone this repository and run the example_model.R script in an R interpreter to see the model how our baseline model works. After that, you can start trying to build a model that makes better predictions on the data/training_data.csv data set than our example model.

Please Note

The data/installations.csv file is now available, as is the data/test_data.csv file. Obviously, the values of the variable Installed are NA in both of these data sets.

Max Lin's submission

Max Lin makes the codes behind his submission (team name: Record Me Men) available under maxlin_submission/. See maxlin_submission/README.markdown for steps on running Max's codes.

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