BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Sebastian Fischer (LMU Munich) DTSTART:20221107T131500Z DTEND:20221107T141500Z DTSTAMP:20260423T010637Z UID:MaML/2 DESCRIPTION:Title: Ben chmarking Machine Learning Methods Using OpenML and mlr3\nby Sebastian Fischer (LMU Munich) as part of Mathematics and Machine Learning\n\n\nAbs tract\nBenchmark studies are an integral part of machine learning research . The two main components are the datasets that are used to compare the me thods and the software that supports the researcher in carrying out the ex periment. OpenML is a platform for sharing datasets and machine learning r esults and is a great tool to obtain datasets.\nmlr3 is an ecosystem of ma chine learning packages in the R language\, which among other things allow s for benchmarking algorithms with ease. This presentation will show how O penML and mlr3 can be used together to make benchmarking machine learning methods as easy as possible\, by using the interface R package mlr3oml.\n LOCATION:https://researchseminars.org/talk/MaML/2/ END:VEVENT END:VCALENDAR