Overview
Who this competition fits
Builders comfortable with Chinese algorithm-competition pages hosted by iFlytek.
Read the original official blurb
在当今社会，信用消费逐步成为了一种新的生活方式，有数据表明，越来越多的居民由传统储蓄转变为提前消费。因此，保证信贷经济的平稳是一个很重要的研究领域。对金融机构来说，预先判断客户是否会违约有利于提升机构的盈利；对整个社会来说，可以减少信用欺诈现象，去除信贷经济的泡沫。 本次比赛的主要目的是通过对数据集的挖掘，建立评估用户信用分的模型，为金融机构系统提供更… Official track: 数据挖掘. Sponsor: 科大讯飞xDatawhale. Teams entered: 183.
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 20, 2022