Communities and Crimes

该数据集包含了与美国多个社区人均暴力犯罪率相关的信息，旨在预测这一犯罪率。此外，‘暴力犯罪率’这一标签已经通过设定阈值转换成了一个二元特征。数据集规模为1994个实例和123个特征，任务是对暴力犯罪率进行预测。

This dataset contains information related to the per-capita violent crime rates across multiple communities in the United States, with the goal of predicting such crime rates. Additionally, the "violent crime rate" label has been converted into a binary feature by setting a threshold. The dataset consists of 1994 instances and 123 features, and the task is to predict violent crime rates.

搜集汇总

背景与挑战

背景概述

该数据集整合了美国社区的社会经济、执法和犯罪数据，包含1994个社区实例和127个特征，旨在通过回归分析预测人均暴力犯罪率。数据已归一化处理，适用于机器学习算法测试和犯罪相关因素研究。