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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Assessing the generalizability of a performance predictive model</dc:title><dc:creator>Nikolikj,	Ana	(Avtor)
	</dc:creator><dc:creator>Cenikj,	Gjorgjina	(Avtor)
	</dc:creator><dc:creator>Ispirova,	Gordana	(Avtor)
	</dc:creator><dc:creator>Vermetten,	Diederick	(Avtor)
	</dc:creator><dc:creator>Dieter Lang,	Ryan	(Avtor)
	</dc:creator><dc:creator>Engelbrecht,	Andries Petrus	(Avtor)
	</dc:creator><dc:creator>Doerr,	Carola	(Avtor)
	</dc:creator><dc:creator>Korošec,	Peter	(Avtor)
	</dc:creator><dc:creator>Eftimov,	Tome	(Avtor)
	</dc:creator><dc:subject>algorithms</dc:subject><dc:subject>predictive models</dc:subject><dc:subject>machine learning</dc:subject><dc:publisher>ACM</dc:publisher><dc:date>2023</dc:date><dc:date>2023-09-15 08:42:14</dc:date><dc:type>Neznano</dc:type><dc:identifier>17001</dc:identifier><dc:identifier>UDK: 004.8</dc:identifier><dc:identifier>DOI: 10.1145/3583133.3590617</dc:identifier><dc:identifier>COBISS_ID: 162992131</dc:identifier><dc:identifier>OceCobissID: 160914179</dc:identifier><dc:source>ZDA</dc:source><dc:language>sl</dc:language><dc:rights>Copyright © 2023 Owner/Author(s)</dc:rights></metadata>
