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项目作者： ilos-vigil

项目描述 ：
7th (top 2%) solution for Shopee Code League 2020 - Marketing Analytics
高级语言： Jupyter Notebook
项目地址: git://github.com/ilos-vigil/scl-2020-marketing-analytics.git
创建时间： 2020-08-08T13:45:01Z
项目社区：https://github.com/ilos-vigil/scl-2020-marketing-analytics
开源协议：The Unlicense
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Shopee Code League 2020 - Marketing Analytics

This is source code/solution for 7th place (top 2%) in Private LB with score ? of [Student] Shopee Code League 2020 - Marketing Analytics. Check Overview Archive and Leaderboard Archive if Kaggle is down or the link is invalid.

Disclaimer

  • This is work of Cocoa team, we DO NOT represent any organization.
  • Although we use License “The Unlicense”, dataset and generated dataset falls under Shopee Terms and Conditions which can be seen on Kaggle

Environment List

Some of the notebook are run on different environment

Environment Name Description
Kaggle CPU 2C/4T CPU, 16GB RAM
Local 6C/12T CPU, 16GB RAM, 16GB Swapfile

To ensure you can run jupyter notebook which runs on “Local” environment, make sure that :

  1. Use OS based on GNU/Linux
  2. Use Python 3.8
  3. Install required Python library
  1. python3.8 -m pip install matplotlib seaborn pandas numpy mljar-supervised

Notebook description

Filename Link to Kaggle Kernel Environment Description
01_preprocessing.ipynb https://www.kaggle.com/ilosvigil/scl-2020-8-preprocessing?scriptVersionId=40024448 Kaggle CPU Minimum amount of preprocessing
02a_lightgbm_v20.ipynb https://www.kaggle.com/ilosvigil/scl-2020-8-lightgbm?scriptVersionId=40306747 Kaggle CPU Uses LightGBM library
02a_lightgbm_v21.ipynb https://www.kaggle.com/ilosvigil/scl-2020-8-lightgbm?scriptVersionId=40332941 Kaggle CPU Uses LightGBM library
02a_lightgbm_v23.ipynb https://www.kaggle.com/ilosvigil/scl-2020-8-lightgbm?scriptVersionId=40371184 Kaggle CPU Uses LightGBM library
02b_mljar.ipynb - Local Use mljar-supervised AutoML library

Dataset

The dataset is available on this repository and/or Kaggle datasets platform.

Created By Filename/directory path Link to Kaggle datasets
Shopee data/raw https://www.kaggle.com/c/student-shopee-code-league-marketing-analytics/data
Notebook : 01_preprocessing.ipynb data/processed https://www.kaggle.com/ilosvigil/shopee-marketing-data

Leaderboard (LB) Score

Notebook filename Submission filename Used for Final Score Public LB Private LB
02a_lightgbm_v20.ipynb submission_best_mean.csv No 0.52518 0.52700
submission_best_mode.csv No 0.52442 0.52488
submission_ensemble_mean.csv No 0.52685 0.52871
submission_ensemble_mode.csv No 0.52608 0.52885
submission_weighted_ensemble_mean.csv No 0.52685 0.52885
02a_lightgbm_v21.ipynb submission_best_mean.csv No 0.52854 0.52979
submission_best_mode.csv No 0.52671 0.52836
submission_ensemble_mean.csv No 0.52273 0.52523
submission_ensemble_mode.csv No 0.51941 0.52384
submission_weighted_ensemble_mean.csv No 0.52344 0.52496
02a_lightgbm_v23.ipynb submission_best_mean.csv No 0.52510 0.52426
submission_best_mode.csv No 0.52511 0.52433
submission_ensemble_mean.csv No 0.53174 0.53409
submission_ensemble_mode.csv No 0.53189 0.53392
submission_weighted_ensemble_mean.csv Yes 0.53007 0.53444
02b_mljar.ipynb submission_2020-08-06 22:24:43.301671.csv Yes 0.53712 0.53173

Guide

This guide assume you change path or move the file correctly

  1. Run 01_preprocessing.ipynb
  2. Run 02a_lightgbm_v20.ipynb, 02a_lightgbm_v21.ipynb, 02a_lightgbm_v23.ipynb or 02b_mljar.ipynb