Which technique is best for dealing with outliers in a dataset?
- Mean imputation
- Median imputation
- Min-Max scaling
- Z-score normalization
Z-score normalization is a robust technique for handling outliers by scaling the data based on its mean and standard deviation. It identifies and mitigates the impact of outliers on the dataset.
Loading...
Related Quiz
- How does a DBMS ensure data integrity?
- What is the first step in the problem-solving process?
- o perform clustering analysis in R, the ________ function is commonly used.
- What is the role of change data capture in ETL processes?
- In a case study about digital transformation, what approach should a company take to ensure successful implementation and adoption of new technologies?