Databricks Certified Machine Learning - Associate
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Ultimate access to all questions.
Why is handling outliers important for improving model accuracy in Spark ML workflows?
A
It complicates data preprocessing
B
It can lead to data loss, reducing model accuracy
C
It prevents skewed results and enhances model performance
D
It does not affect model accuracy