In a machine learning project where you're dealing with both numerical and categorical features, which Spark ML algorithm is most effective for handling this mix?
Real Exam
A
Linear Regression
9.5%
B
Random Forest
23.8%
C
Gradient Boosting
14.3%
D
Decision Trees
52.4%
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In a machine learning project where you're dealing with both numerical and categorical features, which Spark ML algorithm is most effective for handling this mix? | Databricks Certified Machine Learning - Associate Quiz - LeetQuiz
