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Create README.md

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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ The ID column links tables in X_train, with Y_train and Y_train_supp. The same holds true for the test data.
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+ Input team data sets comprise the following 3 identifier columns:
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+ ID, LEAGUE and TEAM_NAME (note that LEAGUE and TEAM_NAME are not included in the test data)
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+ The following 25 statistics, which are aggregated by sum, average and standard deviation.
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+ 'TEAM_ATTACKS'
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+ 'TEAM_BALL_POSSESSION'
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+ 'TEAM_BALL_SAFE'
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+ 'TEAM_CORNERS'
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+ 'TEAM_DANGEROUS_ATTACKS'
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+ 'TEAM_FOULS'
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+ 'TEAM_GAME_DRAW'
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+ 'TEAM_GAME_LOST'
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+ 'TEAM_GAME_WON'
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+ 'TEAM_GOALS'
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+ 'TEAM_INJURIES'
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+ 'TEAM_OFFSIDES'
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+ 'TEAM_PASSES'
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+ 'TEAM_PENALTIES'
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+ 'TEAM_REDCARDS'
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+ 'TEAM_SAVES'
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+ 'TEAM_SHOTS_INSIDEBOX'
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+ 'TEAM_SHOTS_OFF_TARGET'
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+ 'TEAM_SHOTS_ON_TARGET',
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+ 'TEAM_SHOTS_OUTSIDEBOX'
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+ 'TEAM_SHOTS_TOTAL'
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+ 'TEAM_SUBSTITUTIONS'
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+ 'TEAM_SUCCESSFUL_PASSES'
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+ 'TEAM_SUCCESSFUL_PASSES_PERCENTAGE'
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+ 'TEAM_YELLOWCARDS'
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+ Input player data sets comprise the following 3 identifier columns:
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+
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+ ID, LEAGUE and TEAM_NAME, POSITION and PLAYER_NAME (note that LEAGUE, TEAM_NAME, and PLAYER_NAME are not included in the test data)
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+ 52 statistics, which are aggregated by sum, average and standard deviation. They are similar to the team statistics though more fine-grained.