Prediction of pipe failures in water supply networks using logistic regression and support vector classification

•Prediction of >85% of pipe failures using both algorithms, LR and SVC.•Excellent abilities to avoid false classifications (AUCs).•Importance of training set balance in binary classification problems. Companies in charge of water supply networks are making a huge effort to optimally plan the annu...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Reliability engineering & system safety Ročník 196; s. 106754
Hlavní autori:	Robles-Velasco, Alicia, Cortés, Pablo, Muñuzuri, Jesús, Onieva, Luis
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Barking Elsevier Ltd 01.04.2020 Elsevier BV
Predmet:	Classification Failure Logistic regression Networks Optimization Pipe failures Pipes Predictive algorithms Reliability engineering Statistical analysis Support vector classification Sustainability management Water shortages Water supply Water supply networks Water supply systems Logistic regression Support vector classification Pipe failures Predictive algorithms Water supply networks
ISSN:	0951-8320, 1879-0836
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!