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  3. 房屋租赁价格预测挑战赛
iFlytek ChallengeTabularIntermediateRegistration closed

房屋租赁价格预测挑战赛

A intermediate tabular competition requiring roughly 12–36 hours for an end-to-end practice run.

Difficulty
Intermediate
Estimated effort
12–36 hours
Registration deadline
Jul 17, 2022
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

Builders comfortable with Chinese algorithm-competition pages hosted by iFlytek.

Read the original official blurb
房屋租赁市场是房地产市场的重要组成部分。中国城市化进程的加剧,导致一二线城市房价不断攀升,越来越多的人选择以房屋租赁的方式来满足住房的需求。价格是反映一定时期内房屋租赁价格水平变动趋势和变动程度,分析预测房屋租赁价格,对于发展完善房屋租赁市场有着重要的意义。 Official track: 数据挖掘. Sponsor: 科大讯飞xDatawhale. Teams entered: 560.

Preparation

From registration to a first submission

  1. 01

    Can read Chinese competition pages

  2. 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
Jun 16, 2022

Entry assessment

est.
52

Prepare before joining

Overall fit estimate

Beginner fit52/100
Learning value56/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Timeline

Registration opens
Jun 16, 2022
Registration deadline
Jul 17, 2022
Submission deadline
Oct 24, 2022
Competition ends
Oct 24, 2022

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

View data stateClose
Source page verifiedMetric confirmedReviewed
Source published
Jun 16, 2022
Published on this site
Jul 21, 2026

Official metric is not published on the iFlytek competition listing; verify scoring on the competition page.