Beginner score
78/100
Competition workspace
适合想用 PaddlePaddle 练习结构化数据回归的个人开发者，尤其是能从玩家、队友及同局其他玩家统计信息中构造特征的人。参赛者需要使用 PaddlePaddle 2.0 及以上版本训练端到端深度学习模型，且仅支持个人参赛。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
78/100
Learning value
72/100
Estimated effort
4-12 hours
Metric
Official scoring is published on the Ba…
适合想用 PaddlePaddle 练习结构化数据回归的个人开发者，尤其是能从玩家、队友及同局其他玩家统计信息中构造特征的人。参赛者需要使用 PaddlePaddle 2.0 及以上版本训练端到端深度学习模型，且仅支持个人参赛。
Taken from the competition's official page.
PUBG CSV data: 50,000 training samples and 5,000 test samples
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
PaddlePaddle 2.0+
结构化数据回归
CSV 数据处理
特征工程
排行榜提交文件制作
游戏行为数据分析
The real friction is usually not library usage. It is validation, time allocation, and task framing.
核心难点是把玩家个人、队友和同局其他玩家的统计信息转化为能预测队伍最终排名的特征；排名按队伍计算，同队玩家标签相同。提交还必须严格生成仅含 team_placement 一列、50 万行的 submission.csv，并压缩为指定文件名。
This guide is the best pre-read if you want a cleaner start instead of trial-and-error.
How to learn feature engineering, validation, and competition workflow without heavy hardware.
No GPU? Pick Competitions That Still Teach You Good HabitsUse these fields to make a quick decision before you dive deeper.
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Official metric is not published on the Baidu AI Studio competition listing; verify scoring on the competition page.