Enhancing the accuracy of machine learning models using the super learner technique in digital soil mapping

dc.contributor.author	Taghizadeh-Mehrjardi, Ruhollah
dc.contributor.author	Schmidt, Karsten
dc.contributor.author	Scholten, Thomas
dc.date.accessioned	2021-10-29T09:12:00Z
dc.date.available	2021-10-29T09:12:00Z
dc.date.issued	2021
dc.identifier.issn	1872-6259
dc.identifier.uri	http://hdl.handle.net/10900/120254
dc.language.iso	en	en
dc.publisher	Elsevier	de_DE
dc.relation.uri	http://dx.doi.org/10.1016/j.geoderma.2021.115108
dc.subject.ddc	550	de_DE
dc.title	Enhancing the accuracy of machine learning models using the super learner technique in digital soil mapping	de_DE
dc.type	Article	de_DE
utue.quellen.id	20210824232002_00011
utue.personen.roh	Taghizadeh-Mehrjardi, Ruhollah
utue.personen.roh	Hamzehpour, Nikou
utue.personen.roh	Hassanzadeh, Maryam
utue.personen.roh	Heung, Brandon
utue.personen.roh	Goydaragh, Maryam Ghebleh
utue.personen.roh	Schmidt, Karsten
utue.personen.roh	Scholten, Thomas
dcterms.isPartOf.ZSTitelID	Geoderma	de_DE
dcterms.isPartOf.ZS-Issue	Article 115108	de_DE
dcterms.isPartOf.ZS-Volume	399	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät
utue.fakultaet	Sonstige
utue.fakultaet	Sonstige