California House Prices

任务是根据房屋信息预测房屋销售价格，例如卧室数量、居住区、位置、附近学校和卖方摘要。数据包括 2020 年在加利福尼亚州售出的房屋，测试数据集中的房屋在训练数据集中售出。此外，私人排行榜房屋在公共排行榜中的房屋之后被出售。

The task is to predict house sale prices based on housing-related information such as the number of bedrooms, residential area, location, nearby schools, and seller summaries. The dataset comprises houses sold in California in 2020. Houses in the test dataset were sold after those in the training dataset. Additionally, houses on the private leaderboard were sold subsequent to those on the public leaderboard.

搜集汇总

背景与挑战

背景概述

该数据集用于基于房屋信息预测销售价格，包含2020年加利福尼亚州的房屋销售数据。训练和测试数据集分别对应不同时间售出的房屋，其中测试数据在训练数据之后出售。