Fsalazar: Fsalazar moved page Draft Salazar 803038841 to Salazar et al 2021a

2021-11-10T16:03:06Z

Fsalazar moved page Draft Salazar 803038841 to Salazar et al 2021a

Fsalazar: Created page with " == Abstract == am safety assessment is typically made by comparison between the outcome of some predictive model and measured monitoring data. This is done separately for ea..."

2021-11-10T16:03:04Z

Created page with " == Abstract == am safety assessment is typically made by comparison between the outcome of some predictive model and measured monitoring data. This is done separately for ea..."

New page

== Abstract ==

am safety assessment is typically made by comparison between the outcome of some predictive model and measured monitoring data. This is done separately for each response variable, and the results are later interpreted before decision making. In this work, three approaches based on machine learning classifiers are evaluated for the joint analysis of a set of monitoring variables: multiclass, two-class and one-class classification. Support vector machines are applied to all prediction tasks, and random forest is also used for multi-class and two-class. The results show high accuracy for multi-class classification, although the approach has limitations for practical use. The performance in two-class classification is strongly dependent on the features of the anomalies to detect and their similarity to those used for model fitting. The one-class classification model based on support vector machines showed high prediction accuracy, while avoiding the need for correctly selecting and modelling the potential anomalies. A criterion for anomaly detection based on model predictions is defined, which results in a decrease in the misclassification rate. The possibilities and limitations of all three approaches for practical use are discussed.

== Full document ==
<pdf>Media:Draft_Salazar_803038841-4554-document.pdf</pdf>

← Older revision	Revision as of 16:03, 10 November 2021
(No difference)

Salazar et al 2021a - Revision history

Fsalazar: Fsalazar moved page Draft Salazar 803038841 to Salazar et al 2021a

Fsalazar: Created page with " == Abstract == am safety assessment is typically made by comparison between the outcome of some predictive model and measured monitoring data. This is done separately for ea..."