手机价格分类

鲍勃开了自己的手机公司。他想与苹果、三星等大公司展开硬仗。
他不知道如何估算自己公司生产的手机的价格。在这个竞争激烈的手机市场，你不能简单地假设事情。为了解决这个问题，他收集了各个公司的手机销售数据。
鲍勃想找出手机的特性(例如:RAM、内存等)和售价之间的关系。但他不太擅长机器学习。所以他需要你帮他解决这个问题。
在这个问题中，你不需要预测实际价格，而是要预测一个价格区间，表明价格多高

Bob founded his own mobile phone company, aiming to compete head-on with industry giants such as Apple and Samsung. He had no idea how to estimate the selling prices of the mobile phones manufactured by his company. In this fiercely competitive mobile phone market, one cannot simply make arbitrary assumptions without solid basis. To solve this problem, he collected mobile phone sales data from various companies. Bob wanted to figure out the relationship between mobile phone features (e.g., RAM, storage, etc.) and their selling prices, but he was not skilled in machine learning. Therefore, he needed your help to resolve this issue. For this task, you do not need to predict the actual price, but instead to predict a price range that indicates the price level of the mobile phones.

搜集汇总

背景与挑战

背景概述

该数据集是一个用于手机价格分类的机器学习数据集，旨在通过手机的多项硬件和功能特征（如电池容量、RAM、摄像头分辨率等）预测其价格区间，而非具体价格。数据集包含训练集和测试集，共有20个特征变量，覆盖了手机的物理属性、网络支持和性能指标，适用于分类任务，帮助用户分析手机特性与市场定价的关系。