In a machine learning project aimed at detecting fraudulent transactions within a dataset, which Spark ML algorithm is best suited for identifying rare and abnormal instances?
Real Exam
A
Linear Regression
3.0%
B
Decision Trees
18.2%
C
Naive Bayes
15.2%
D
Isolation Forest
63.6%
Powered ByGPT-5.2
In a machine learning project aimed at detecting fraudulent transactions within a dataset, which Spark ML algorithm is best suited for identifying rare and abnormal instances? | Databricks Certified Machine Learning - Associate Quiz - LeetQuiz
