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Answer: Isolation Forest

The Isolation Forest algorithm is specifically designed for anomaly detection. It operates by isolating anomalies rather than profiling normal data points. This makes it an ideal choice in Spark ML for tasks focused on detecting rare and abnormal instances, such as identifying fraudulent transactions in a dataset.

Author: LeetQuiz Editorial Team

Quick Answer

Answer-first summary for fast verification

Answer: Isolation Forest

Author: LeetQuiz Editorial Team

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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

Linear Regression

2.0%

Decision Trees

18.0%

Naive Bayes

18.0%

Isolation Forest

62.0%