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echohandsome/Kaggle-American-Express-Default-Prediction-1st-solution

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input

input

 
 

output

output

 
 

.DS_Store

.DS_Store

 
 

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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kaggle信用卡逾期风险预测第一名开源方案

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