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，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，同时会对心跳信号类别（label）信息进行脱敏。

This competition aims to predict the category of electrocardiogram (ECG) heartbeat signals. The dataset is derived from ECG signal recordings on a certain platform, with a total of over 200,000 samples. It primarily comprises single-column heartbeat signal sequence data, where each sample features uniform sampling frequencies and identical sequence lengths. To guarantee the fairness of the competition, 100,000 samples will be selected as the training set, 20,000 as Test Set A, and the heartbeat signal category (label) information will be desensitized.

搜集汇总

背景与挑战

背景概述

该数据集用于心电图心跳信号分类预测任务，总数据量超过20万条，包含一列采样频次一致、长度相等的心跳信号序列。从中抽取了10万条作为训练集和2万条作为测试集A，并对信号类别标签进行了脱敏处理。