Role of Data Quality in Machine Learning Performance

Nikita Tanwar
Class: M.Sc. Data Science SY

Introduction:Machine Learning (ML) has become an essential technology across diverse sectors, including healthcare, finance, and e-commerce. The effectiveness of ML models is influenced not only by the choice of algorithms but also significantly by the quality of the data on which they are trained. High-quality data enhances model accuracy and reliability, whereas poor-quality data can lead to misleading and inconsistent results. This study aims to examine the impact of data quality on machine learning performance and highlights its critical role in achieving robust and dependable model outcomes.