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tbrain2021_winter's Introduction

玉山人工智慧公開挑戰賽2021冬季賽 - 信用卡消費類別推薦

在此比賽中，我們的組別(把拉拉嘟嘟)在private leaderboard獲得第六名的成績(6th/317)。

Description

  • data_preprocessing.ipynb：針對原始資料進行前處理(long to wide format)，將會產生三份前處理後的資料。
  • iDCG.ipynb：針對最後一個月份(dt=24)資料進行處理與計算iDCG，以進行線下驗證(NDCG score)。
  • modeling_validation_mode.ipynb：驗證模式之模型訓練方式，取dt=24之資料作為驗證資料之正確標籤。
  • modeling_testing_mode.ipynb：測試模式之模型訓練方式，最後預測dt=25之信用卡消費狀況。
  • ensemble.ipynb：對三份資料訓練出來的模型預測結果進行blending。
  • utils.py：計算NDCG分數之工具。
  • sample_submission.csv：比賽官方提供的範例提交檔案格式。

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