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--- |
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license: mit |
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task_categories: |
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- text-classification |
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language: |
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- en |
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tags: |
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- football |
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- classification |
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size_categories: |
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- 10K<n<100K |
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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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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. |
