零基础入门数据挖掘-心跳信号分类预测

赛题以预测心电图心跳信号类别为任务，数据集报名后可见并可下载，该数据来自某平台心电图数据记录，总数据量超过20万，主要为1列心跳信号序列数据，其中每个样本的信号序列采样频次一致，长度相等。为了保证比赛的公平性，将会从中抽取10万条作为训练集，2万条作为测试集A，2万条作为测试集B，同时会对心跳信号类别（label）信息进行脱敏。

The task of this competition is to predict the category of electrocardiogram (ECG) heartbeat signals. The dataset is available for download after registration. This dataset is sourced from ECG recordings on a certain platform, with a total of more than 200,000 samples. It primarily consists of single-column heartbeat signal sequences, where each sample's signal sequence has consistent sampling frequency and uniform length. To ensure the fairness of the competition, 100,000 entries will be selected as the training set, 20,000 as Test Set A, and another 20,000 as Test Set B. Additionally, the heartbeat signal category (label) information will be anonymized.

搜集汇总

背景与挑战

背景概述

该数据集来自天池大赛的'零基础入门数据挖掘-心跳信号分类预测'赛题，任务是基于心电图数据预测心跳信号类别。数据总量超过20万条心跳信号序列，从中抽取了10万条作为训练集和4万条作为测试集，并对类别标签进行了脱敏处理。