One-Class Classification Algorithms for Imbalanced Datasets
( go to the article → https://machinelearningmastery.com/one-class-classification-algorithms/ )
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.
Feb. 13, 2020, 6 p.m.