One-Class Classification Algorithms for Imbalanced Datasets

Outliers or anomalies are rare examples that do not fit in with the rest of the data. Identifying outliers in data is referred to as outlier or anomaly detection and a subfield of machine learning focused on this problem is referred to as one-class classification. These are unsupervised learning algorithms that attempt to model “normal” […]

The post One-Class Classification Algorithms for Imbalanced Datasets appeared first on Machine Learning Mastery.