This article discusses how to develop and configure a set of models to find anomalies in data. A structural diagram of a model ensemble and a flowchart of an algorithm for searching for anomalies in data are proposed. An increase in the accuracy of finding anomalies when using an ensemble of models is shown.
Keywords: anomaly, algorithm, model ensemble, accuracy, confusion matrix, data set, committee, clustering, console application, model