1. 20.8 《绝地求生》玩家排名预测

1.1. 1 项目背景

绝地求生(Player unknown's Battlegrounds)，俗称吃鸡，是一款战术竞技型射击类沙盒游戏。

这款游戏是一款大逃杀类型的游戏，每一局游戏将有最多100名玩家参与，他们将被投放在绝地岛(battlegrounds)上，在游戏的开始时所有人都一无所有。玩家需要在岛上收集各种资源，在不断缩小的安全区域内对抗其他玩家，让自己生存到最后。

本作拥有很高的自由度，玩家可以体验飞机跳伞、开越野车、丛林射击、抢夺战利品等玩法，小心四周埋伏的敌人，尽可能成为最后1个存活的人。

该游戏中，玩家需要在游戏地图上收集各种资源，并在不断缩小的安全区域内对抗其他玩家，让自己生存到最后。

1.2. 2 数据集介绍

本项目中，将为您提供大量匿名的《绝地求生》游戏统计数据。

其格式为每行包含一个玩家的游戏后统计数据，列为数据的特征值。

数据来自所有类型的比赛：单排，双排，四排；不保证每场比赛有100名人员，每组最多4名成员。

文件说明:

• train_V2.csv - 训练集
• test_V2.csv - 测试集

数据集局部图如下图所示:

数据集中字段解释：

• Id [用户id]
  • Player’s Id
• groupId [所处小队id]
  • ID to identify a group within a match. If the same group of players plays in different matches, they will have a different groupId each time.
• matchId [该场比赛id]
  • ID to identify match. There are no matches that are in both the training and testing set.
• assists [助攻数]
  • Number of enemy players this player damaged that were killed by teammates.
• boosts [使用能量,道具数量]
  • Number of boost items used.
• damageDealt [总伤害]
  • Total damage dealt. Note: Self inflicted damage is subtracted.
• DBNOs [击倒敌人数量]
  • Number of enemy players knocked.
• headshotKills [爆头数]
  • Number of enemy players killed with headshots.
• heals [使用治疗药品数量]
  • Number of healing items used.
• killPlace [本厂比赛杀敌排行]
  • Ranking in match of number of enemy players killed.
• killPoints [Elo杀敌排名]
  • Kills-based external ranking of player. (Think of this as an Elo ranking where only kills matter.) If there is a value other than -1 in rankPoints, then any 0 in killPoints should be treated as a “None”.
• kills [杀敌数]
  • Number of enemy players killed.
• killStreaks [连续杀敌数]
  • Max number of enemy players killed in a short amount of time.
• longestKill [最远杀敌距离]
  • Longest distance between player and player killed at time of death. This may be misleading, as downing a player and driving away may lead to a large longestKill stat.
• matchDuration [比赛时长]
  • Duration of match in seconds.
• matchType [比赛类型(小组人数)]
  • String identifying the game mode that the data comes from. The standard modes are “solo”, “duo”, “squad”, “solo-fpp”, “duo-fpp”, and “squad-fpp”; other modes are from events or custom matches.
• maxPlace [本局最差名次]
  • Worst placement we have data for in the match. This may not match with numGroups, as sometimes the data skips over placements.
• numGroups [小组数量]
  • Number of groups we have data for in the match.
• rankPoints [Elo排名]
  • Elo-like ranking of player. This ranking is inconsistent and is being deprecated in the API’s next version, so use with caution. Value of -1 takes place of “None”.
• revives [救活队员的次数]
  • Number of times this player revived teammates.
• rideDistance [驾车距离]
  • Total distance traveled in vehicles measured in meters.
• roadKills [驾车杀敌数]
  • Number of kills while in a vehicle.
• swimDistance [游泳距离]
  • Total distance traveled by swimming measured in meters.
• teamKills [杀死队友的次数]
  • Number of times this player killed a teammate.
• vehicleDestroys [毁坏机动车的数量]
  • Number of vehicles destroyed.
• walkDistance [步行距离]
  • Total distance traveled on foot measured in meters.
• weaponsAcquired [收集武器的数量]
  • Number of weapons picked up.
• winPoints [胜率Elo排名]
  • Win-based external ranking of player. (Think of this as an Elo ranking where only winning matters.) If there is a value other than -1 in rankPoints, then any 0 in winPoints should be treated as a “None”.
• winPlacePerc [百分比排名]
  • The target of prediction. This is a percentile winning placement, where 1 corresponds to 1st place, and 0 corresponds to last place in the match. It is calculated off of maxPlace, not numGroups, so it is possible to have missing chunks in a match.

1.3. 3 项目评估方式

你必须创建一个模型，根据他们的最终统计数据预测玩家的排名，从1（第一名）到0（最后一名）。

最后结果通过平均绝对误差（MAE）进行评估，即通过预测的winPlacePerc和真实的winPlacePerc之间的平均绝对误差

关于MAE:

• sklearn.metrics.mean_absolute_error

1.4. 4 代码实现

见【PUBG-RF+lightGBM.ipynb】