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NFL discussion调研

發布時間:2023/12/20 编程问答 36 豆豆
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discussion備注

Classification or Regression on XGB,LightGBM?

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Best Algorithm for this type of problem...

最好使用分類
New to Machine Learning or Kaggle?可以在本地跑線上環境docker的代碼,包含kaggle自帶的包

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這個比賽是沒有test的

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數據集各個特征:

  'GameId':'a unique game identifier','PlayId':'a unique play identifier','Team':'home or away','X' : 'player position along the long axis of the field.','Y' : 'player position along the short axis of the field.','S' :'speed in yards/second', 球員速度'A' : 'acceleration in yards/second^2',球員加速度'Dis' : 'distance traveled from prior time point, in yards',從前一個時間點到當前時間點的距離'Orientation' : 'orientation of player (deg)','Dir' : 'angle of player motion (deg)','NflId': 'a unique identifier of the player','DisplayName':' player\'s name','JerseyNumber':'jersey number','Season' : 'year of the season','YardLine' : 'the yard line of the line of scrimmage',對抗賽場界(沒看懂)'Quarter' : 'game quarter (1-5, 5 == overtime)','GameClock' : 'time on the game clock','PossessionTeam' : 'team with possession',帶球所在組'Down' : 'the down (1-4)',???????????????????'Distance' : 'yards needed for a first down',???????????????????'FieldPosition' : 'which side of the field the play is happening on',球賽正發生在哪邊(大意估計是球在哪邊)'HomeScoreBeforePlay' : 'home team score before play started',賽前主場隊伍得分'VisitorScoreBeforePlay' :'visitor team score before play started',賽前客場隊伍得分'NflIdRusher' : 'the NflId of the rushing player',球員在球賽聯盟中的ID'OffenseFormation' : 'offense formation',???????????????????'OffensePersonnel' : 'offensive team positional grouping',???????????????????'DefendersInTheBox' : 'number of defenders lined up near the line','DefensePersonnel' : 'defensive team positional grouping','PlayDirection' : 'direction the play is headed',踢球的進攻方向'TimeHandoff' :'UTC time of the handoff','TimeSnap' : 'UTC time of the snap',???????????????????'Yards' : 'the yardage gained on the play',看下面'PlayerHeight' :'player height (ft-in)','PlayerWeight' : 'player weight (lbs)','PlayerBirthDate' : 'birth date (mm/dd/yyyy)','PlayerCollegeName' : 'where the player attended college','HomeTeamAbbr' : 'home team abbreviation',主場隊伍縮寫,為什么和PossetionTeam可以不一樣????'VisitorTeamAbbr' : 'visitor team abbreviation',客場隊伍縮寫'Week' : 'week into the season','Stadium' : 'stadium where the game is being played','Location' : 'city where the game is being player','StadiumType' : 'description of the stadium environment','Turf' : 'description of the field surface','GameWeather' : 'description of the game weather','Temperature' : 'temperature (deg F)','Humidity' : 'humidity','WindSpeed' : 'wind speed in miles/hour','WindDirection' : 'wind direction','SecondsToHandoff' : 'Custom Feature: TimeHandoff minus TimeSnap in seconds'???????????????????

上述提到的:

1碼(yard)=3英尺=0.9144米

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yardage(球隊向前推進統計):

1. This refers to a statistic that is the total amount of?yards?gained by the offensive team as they move the?ball?forward from the line of scrimmage towards their opponent's goal line. When counting?yards?from scrimmage, if a team rushes the?ball, the player who carries the?ball?is given the?yardage?credit.

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注意把[2]看下

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Reference:

[1]https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/112236

[2]https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/112395#latest-649238

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