abstract
- © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.In this article, we will review the step process for creating an accurate prediction model that classifies the heartbeat rhythm into two categories: normal and abnormal. This model will be based on the information provided by the UCI Arrhythmia data set consisting of ECG information alongside other attributes such as age, sex, weight, classification (Normal/Abnormal), etc. In the end, we will compare the performance of different types of classification algorithms (on optimal circumstances) and determine which one excels for specific scenarios.