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input
input
 
 
nbs
nbs
 
 
output
output
 
 
.DS_Store
.DS_Store
 
 
.gitignore
.gitignore
 
 
README.md
README.md
 
 
S1_denoise.py
S1_denoise.py
 
 
S2_manual_feature.py
S2_manual_feature.py
 
 
S3_series_feature.py
S3_series_feature.py
 
 
S4_feature_combined.py
S4_feature_combined.py
 
 
S5_LGB_main.py
S5_LGB_main.py
 
 
S6_NN_main.py
S6_NN_main.py
 
 
S7_ensemble.py
S7_ensemble.py
 
 
model.py
model.py
 
 
requirements.txt
requirements.txt
 
 
run.sh
run.sh
 
 
scheduler.py
scheduler.py
 
 
utils.py
utils.py
 
 

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Environment set up

  1. python==3.7.10

  2. pip install requirements.txt

Data uncompression

  1. put train_data.csv, train_labels.csv, test_data.csv in ./input/

Running

  1. sh run.sh

Result

  1. final submission in ./output/final_submission.csv.zip

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  • Jupyter Notebook 75.9%
  • Python 24.0%
  • Shell 0.1%