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checkpoints
checkpoints
 
 
data
data
 
 
submissions
submissions
 
 
.gitignore
.gitignore
 
 
README.md
README.md
 
 
Tfidf.docx
Tfidf.docx
 
 
badMAE_0.0940513867031predict0.csv
badMAE_0.0940513867031predict0.csv
 
 
books_info.py
books_info.py
 
 
books_original_idx.csv
books_original_idx.csv
 
 
books_original_idx_0-120000.csv
books_original_idx_0-120000.csv
 
 
books_original_idx_0-60000.csv
books_original_idx_0-60000.csv
 
 
books_original_idx_100000.csv
books_original_idx_100000.csv
 
 
books_original_idx_120000-end.csv
books_original_idx_120000-end.csv
 
 
books_original_idx_120000.csv
books_original_idx_120000.csv
 
 
books_original_idx_150000.csv
books_original_idx_150000.csv
 
 
books_original_idx_185973.csv
books_original_idx_185973.csv
 
 
books_original_idx_20000.csv
books_original_idx_20000.csv
 
 
books_original_idx_40000.csv
books_original_idx_40000.csv
 
 
books_original_idx_60000-120000.csv
books_original_idx_60000-120000.csv
 
 
books_original_idx_60000.csv
books_original_idx_60000.csv
 
 
books_original_idx_80000-120000.csv
books_original_idx_80000-120000.csv
 
 
books_original_idx_80000.csv
books_original_idx_80000.csv
 
 
books_tfidf.py
books_tfidf.py
 
 
corresponding.py
corresponding.py
 
 
corresponding_book_info.csv
corresponding_book_info.csv
 
 
fill_implicit.py
fill_implicit.py
 
 
fill_user_info.py
fill_user_info.py
 
 
final_project.pdf
final_project.pdf
 
 
final_v1.py
final_v1.py
 
 
final_v2.py
final_v2.py
 
 
find_test_in_train.py
find_test_in_train.py
 
 
list_read.py
list_read.py
 
 
location_dist.py
location_dist.py
 
 
main.py
main.py
 
 
new_implicit40000.csv
new_implicit40000.csv
 
 
note.txt
note.txt
 
 
predict0.csv
predict0.csv
 
 
predict0_report.csv
predict0_report.csv
 
 
predict0_report_track1.csv
predict0_report_track1.csv
 
 
predict0_report_track2.csv
predict0_report_track2.csv
 
 
predict1.csv
predict1.csv
 
 
predict2.csv
predict2.csv
 
 
predict2_report_track2.csv
predict2_report_track2.csv
 
 
predict_1.205451.csv
predict_1.205451.csv
 
 
predict_1.206559.csv
predict_1.206559.csv
 
 
predict_1.206756.csv
predict_1.206756.csv
 
 
softmax.py
softmax.py
 
 
temp.csv
temp.csv
 
 
transData.py
transData.py
 
 
users.csv
users.csv
 
 
voting.py
voting.py
 
 

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10702-MLtech-final-project

Hi, we are Train完暑假沒train提早放.

In this project, we need to predict users' book-ratings.

Visit mltech, spring 2018 or learner judge system for more info or background.

Before starting, please unzip data/final_project to get raw data.

Method

Matrix factorization + NN + ensemble

Read final_project.pdf for more detail.

Score

Track # private score Rank
1 1.198621 2 of 39
2 21.431562 2 of 37

Evaluation in Track 1 is Meab Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE) in Track 2.

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