How can I validate the results of my data imputation?
An example of an AI chatbot conversation about validating imputation results in data analysis.
How can I validate the results of my data imputation?
You can validate imputation results by comparing them to the original data, using statistical tests, or cross-validation.
What statistical tests are best for this?
Common tests include t-tests, chi-square tests, and comparing distributions using Kolmogorov-Smirnov test.
Should I use visualizations to assess the imputation?
Yes, visualizations like histograms or box plots can help you see how well the imputed values fit with the original data.
Are there any software tools that can help with this?
Yes, tools like R, Python (with libraries like scikit-learn), and specialized software like MICE can assist in validating imputation.
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