Improve the accuracy of finding anomalies in data based on the ensemble of models

Abstract

Improve the accuracy of finding anomalies in data based on the ensemble of models

Khanova Yu.A., Shevskaya N.V.

Incoming article date: 13.05.2021

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