How can I evaluate the quality of my training data?
To evaluate training data quality, consider factors like accuracy, completeness, consistency, and relevance.
What specific metrics should I look for?
You can look for metrics such as precision, recall, F1 score, and data distribution to assess quality.
How do I handle missing or inconsistent data?
You can handle missing data by imputation or removal, and for inconsistencies, standardization is key.
Are there tools that can help with this evaluation?
Yes, tools like Pandas, Scikit-learn, and data profiling tools can assist in evaluating data quality.
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