Web Reference: 2 days ago · Outliers are data points that are very different from most other values in a dataset. They can occur due to measurement errors, unusual events or natural variation in the data. Outlier detection is similar to novelty detection in the sense that the goal is to separate a core of regular observations from some polluting ones, called outliers. PyOD, established in 2017, has become a go-to Python library for detecting anomalous/outlying objects in multivariate data. This exciting yet challenging field is commonly referred to as Outlier Detection or Anomaly Detection.
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