Beginner score
78/100
Competition workspace
适合已能使用 PaddlePaddle 2.0+ 训练端到端深度学习模型的人，尤其是想练习广告点击/反欺诈二分类、处理含大量类别字段和时间戳的脱敏表格数据的个人开发者。比赛仅支持个人参赛，参赛者需通过 AI Studio 获取数据、训练资源并提交结果与原始代码。
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…
适合已能使用 PaddlePaddle 2.0+ 训练端到端深度学习模型的人，尤其是想练习广告点击/反欺诈二分类、处理含大量类别字段和时间戳的脱敏表格数据的个人开发者。比赛仅支持个人参赛，参赛者需通过 AI Studio 获取数据、训练资源并提交结果与原始代码。
There is a baseline you can run as-is — starting from it is usually far faster than building from scratch.
Training and test datasets with 500,000 and 150,000 records
Official baseline system
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
PaddlePaddle 2.0+
二分类模型训练
表格数据特征工程
类别特征编码
时间戳特征处理
CSV 提交文件生成
The real friction is usually not library usage. It is validation, time allocation, and task framing.
数据中部分特征的物理含义被隐藏且经过脱敏，参赛者需要从包名、设备、网络、地域、时间等字段的统计关联中构造有效信号，而不能依赖完整业务语义。还必须用 PaddlePaddle 2.0+ 生成端到端深度学习模型，并同时提交预测结果和原始代码。
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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Sign in to save competitions and build your own shortlist.
Rules, files, submission details, and the live deadline still come from the official page.
These competitions share a similar domain or difficulty level.
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Time SeriesBaidu AI Studio
Time SeriesSeparate what is confirmed from what still needs review. Official rules and deadlines win — report anything that looks wrong.
Official metric is not published on the Baidu AI Studio competition listing; verify scoring on the competition page.