Overview
Who this competition fits
Builders comfortable with Chinese algorithm-competition pages hosted by iFlytek.
Read the original official blurb
随着经济快速平稳发展，民航业也得到了较好的发展，客运量也在不断增长。但随着航班量的增加，航班延误问题也越来越突出，航班延误问题已然成为民航关注的重点。造成航班延误的原因有多方面，目前是无法消除的，但是对航班延误的提前预测，并及时通知旅客和相关部门，让各方根据航班延误预测结果做好相关应对工作，具有重要的实际意义，因此如何高效和准确地对航班延误情况进行预测… Official track: 数据挖掘. Sponsor: 科大讯飞xDatawhale. Teams entered: 264.
Preparation
From registration to a first submission
- 01
Can read Chinese competition pages
- 02
Comfortable submitting a baseline
Before you commit: Task details, eligibility, and scoring rules live mainly on the official iFlytek page and change each season.
Source
How this page was assembled
Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.
- Official competition page
- iFlytek Challenge
- Last checked
- Sep 23, 2022