Chaoran Cheng
Xinyi Wang
Boqiang Zhang
14th Feb. 2020
Project for 2020 MCM/ICM contest, Problem D. Analyses of performances of football teams.
File structures are as following:
root
│ 2000170.pdf # the final paper
│ 2020_ICM_Problem_D.pdf # the problem description
│ LICENSE
│ README.md
│
├───figures # figures for visualization
│ analysis.png
│ Duel.png
│ filter.png
│ ...
│
├───Machine Learning # Machine learning approach
│ ├───codes_large # codes run on the original whole dataset
│ │ data_utils.py # data utils
│ │ network.py # main program
│ │ plot_utils.py # plot utils
│ │ transformerModel.py # network architecture
│ │
│ ├───codes_small # does run on the local excerpt dataset
│ │ dataprocess.py # pre-process data
│ │ data_utils.py # data utils
│ │ network.py # main program
│ │ plot_utils.py # plot utils
│ │ README.txt # dataset description
│ │ requirements.txt # requirements
│ │ transformerModel.py # network archtecture
│ │
│ └───results # numerical results
│ connectivity.txt # the extracted features
│ filter_len.txt
│ indices.txt
│ match_indices.txt
│ train.txt # the training procedures
│ training_England_3.txt
│ training_France_2.txt
│ training_Germany_4.txt
│ training_Italy_1.txt
│ training_large.txt
│ training_small.txt
│ training_Spain_5.txt
│
└───Traditional # Traditional Statistical approach
├───codes # regression and hypothesis testing
│ Model.m
│ plot2.mlx
│ plot_loss.mlx
│ Possession.m
│
└───results # numerical results
all_stat.xlsx
Apprendix2.xlsx
direct_stats.csv
Table&Apprendix.xlsx
used_stat.csv