Boston House Prices Dataset

Boston house prices dataset is a classical linear regression task which contains 506 houses as training and testing examples and their prices based on features such as weighted distances to five Boston employment centers, average number of rooms per dwelling, index of accessibility to radial highways, etc.

波士顿房价数据集（Boston House Prices Dataset）是经典的线性回归任务数据集，共包含506个房屋样本用于训练与测试，各样本的房价由多项特征决定，包括至波士顿五处就业中心的加权距离、每栋住宅的平均房间数、径向高速公路可达性指数等。

搜集汇总

背景与挑战

背景概述

Boston House Prices Dataset是一个用于线性回归的经典数据集，包含506个房屋样本及其价格，价格基于多个房屋特征。数据集由Huaduo Wang和Gopal Gupta创建，发布于2025年。