Anomaly detection with Isolation Forests
Автор: MachineLearningInterview
Загружено: 2020-09-27
Просмотров: 25688
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All of us know random forests, one of the most popular ML models. They are a supervised learning algorithm, used in a wide variety of applications for classification and regression.
Can we use random forests in an unsupervised setting? (where we have no labeled data?)
Isolation forests are a variation of random forests that can be used in an unsupervised setting for anomaly detection.
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