Drought classification using gradient boosting decision tree

Danandeh Mehr, Ali

doi:10.1007/s11600-021-00584-8

Artykuł - szczegóły

Tytuł artykułu

Drought classification using gradient boosting decision tree

Autorzy

Danandeh Mehr Ali

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-021-00584-8

Warianty tytułu

Języki publikacji

Abstrakty

This paper compares the classification and prediction capabilities of decision tree (DT), genetic programming (GP), and gradient boosting decision tree (GBT) techniques for one-month ahead prediction of standardized precipitation index in Ankara province and standardized precipitation evaporation index in central Antalya region. The evolved models were developed based on multi-station prediction scenarios in which observed (reanalyzed) data from nearby stations (grid points) were used to predict drought conditions in a target location. To tackle the rare occurrence of extreme dry/wet conditions, the drought series at the target location was categorized into three classes of wet, normal, and dry events. The new models were trained and validated using the frst 70% and last 30% of the datasets, respectively. The results demonstrated the promising performance of GBT for meteorological drought classification. It provides better performance than DT and GP in Ankara; however, GP predictions for Antalya were more accurate in the testing period. The results also exhibited that the proposed GP model with a scaled sigmoid function at root can efortlessly classify and predict the number of dry, normal, and wet events in both case studies.

Słowa kluczowe

SPI SPEI multiclass classification decision tree gradient boosting genetic programming

SPI SPEI klasyfikacja wieloklasowa drzewo decyzyjne zwiększanie gradientu programowanie genetyczne

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2021

Tom

Vol. 69, no. 3

Strony

909--918

Opis fizyczny

Bibliogr. 41 poz.

Twórcy

autor

Danandeh Mehr Ali

ali.danandeh@antalya.edu.tr

Department of Civil Engineering, Antalya Bilim University, Antalya, Turkey

https://orcid.org/0000-0003-2769-106X

Bibliografia

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Typ dokumentu

Bibliografia

Identyfikator YADDA

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