Tavondo
HomeCompetitionsQuizGuidesPlatforms

No matching competitions

Try a platform, topic, or competition title

中文
HomeCompetitionsQuizGuidesPlatforms
中文RegisterSign in
Tavondo

Find AI contests that fit you—quiz, recommendations, catalog, and guides in one place.

Discover

CompetitionsQuizGuidesPlatforms

Account

Sign inRegisterSkill quiz

© 2026 Tavondo

中文
  1. Home
  2. Competitions
  3. 飞桨学习赛:英雄联盟大师预测

Competition workspace

Baidu AI StudioTime SeriesBeginnerRegistration unverifiedRegistration unverified

飞桨学习赛:英雄联盟大师预测

适合想用 PaddlePaddle 做端到端深度学习、并能处理英雄联盟对局统计表格数据的个人开发者。需要具备用 Python 将击杀、伤害、治疗和视野等玩家记录整理为胜负二分类输入的能力;比赛仅支持个人参赛。

Open official pageSign in to saveOpen guide

Suggested next step

Decide whether this contest fits your current stage before you sink time into the leaderboard.

Beginner score

78/100

Higher means a safer real starting point for your current stage.

Learning value

72/100

Measures whether the competition teaches habits you can transfer elsewhere.

Estimated effort

4-12 hours

Use this to check whether the task fits your current time budget.

Metric

Official scoring is published on the Ba…

If you cannot explain this metric clearly yet, you probably still need a bit of prep.

Who this competition fits

适合想用 PaddlePaddle 做端到端深度学习、并能处理英雄联盟对局统计表格数据的个人开发者。需要具备用 Python 将击杀、伤害、治疗和视野等玩家记录整理为胜负二分类输入的能力;比赛仅支持个人参赛。

Official blurb (unedited)
本赛题属于典型的分类问题,以英雄联盟手游为背景,要求选手根据英雄联盟玩家的实时游戏数据,预测玩家在本局游戏中的输赢情况。 Official tags: 数据挖掘. Sign-ups: 3250.

What this competition gives you

There is a baseline you can run as-is — starting from it is usually far faster than building from scratch.

BaselineForkable official PaddlePaddle baseline
Data

League of Legends dataset: 100MB, 8 million training and 20,000 test records

TutorialExemplary community project in the learning materials

Prep before joining

If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.

PaddlePaddle 2.0+

二分类建模

表格数据特征工程

Python 数据处理

ZIP/CSV 提交文件制作

Where the real difficulty shows up

The real friction is usually not library usage. It is validation, time allocation, and task framing.

主要工作在于从大量玩家实时对局统计字段中挖掘与胜负有关的模式,并把模型输出整理为只含 win 字段的指定 ZIP/CSV 文件。模型必须用 PaddlePaddle 2.0 及以上版本训练,不能换用其他框架提交。

Read this first

This guide is the best pre-read if you want a cleaner start instead of trial-and-error.

A simple framework for choosing a competition that teaches instead of overwhelming you.

How to Choose Your First AI Competition

Your decision

Use these fields to make a quick decision before you dive deeper.

Status
Registration unverified
Registration
Registration unverified
Eligibility
Needs official confirmation
Reward
奖励积分
Compute
Free GPU OK
Official metric
Official scoring is published on the Baidu AI Studio competition page.
Verification
Source page verified

Registration is unverified; confirm availability on the official page before investing.

Save to account

Sign in to save competitions and build your own shortlist.

Sign in to saveCreate account

Official source

Rules, files, submission details, and the live deadline still come from the official page.

Open official page

Related competitions

These competitions share a similar domain or difficulty level.

Tianchi

Time Series

资金流入流出预测-挑战Baseline

Registration deadline · May 6, 2027

Kaggle

Time Series

Store Sales - Time Series Forecasting

Registration open

DrivenData

Time Series

Power Laws: Cold Start Energy Forecasting

Registration unverified

Baidu AI Studio

Time Series

飞桨学习赛:MarTech Challenge 点击反欺诈预测

Registration unverified

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win — report anything that looks wrong.

Source page verifiedMetric confirmedReviewed
Published on this site
Jul 21, 2026

Official metric is not published on the Baidu AI Studio competition listing; verify scoring on the competition page.