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CIKMAnalytiCup-2020 COVID-19 Retweet Prediction Challenge

overview

overview

usage

download data (TweetsCOV19)

run

$ cd ./run
$ sh solution.sh

results

Rank Team MLSE
1 vinayaka 0.120551
2 mc-aida 0.121094
3 myaunraitau (ours) 0.136239
4 parklize 0.149997
5 JimmyChang 0.156876
6 Thomary 0.169047

folder structure

CIKMAnalytiCup-2020

├── exp # deploy the experiment's config
     └── (experiment name)
             └── config.py

├── features # save extracted feature files
     └── (feature_name).feather

├── folds # save cross validation data table files
     └── (folds_name).csv

├── input
     └── public_dat
         └── feature.name
         └── train.data
         └── validation.data
         └── test.data

├── run
     └── solution.sh
     └── ensemble.py

├── save
     └── model/
     └── model_predict/
     └── predict/

├── src
     └── create_folds.py
     └── dataset.py
     └── feature_extraction.py
     └── model.py
     └── train_5fold.py
     └── utils.py
     └── utils_feature.py
     └── utils_model.py

├── submission # save submission files
     └── (submission_name).zip

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  • Python 99.0%
  • Shell 1.0%