How does data quality affect algorithm performance?

How does data quality affect algorithm performance?

Data quality is crucial for algorithms as it directly influences their accuracy and reliability. Poor data can lead to incorrect predictions.

Can you give me examples of how bad data impacts results?

Sure! For instance, if a dataset has missing values or outliers, it can skew the results, leading to faulty conclusions.

What are some ways to improve data quality?

Improving data quality can involve data cleaning, validation, and using reliable sources. Regular audits also help maintain quality.

Are there specific algorithms that are more sensitive to data quality?

Yes, algorithms like decision trees and neural networks can be more sensitive to data quality issues compared to others like linear regression.