PrzykÅ‚ad metody Stacking

Created: 2011-05-25 08:12:51 Last updated: 2011-05-25 08:15:17

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PoniÅ¼szy przepÅ‚yw pokazuje wykorzystanie operatora Stacking do tworzenia meta-klasyfikatorów. Operator Stacking pozwala na zagnieÅ¼dÅ¼enie dowolnej liczby modeli bazowych, które bÄ™dÄ… równolegle uczone na zbiorze uczÄ…cym. Drugim operatorem zagnieÅ¼dÅ¼onym jest model klasyfikatora, który uczy siÄ™ na odpowiedziach modeli bazowych (czyli buduje model modeli odpowiedzi). W przykÅ‚adzie jako modele bazowe wykorzystano: drzewo decyzyjne, algorytm k-NN, sieÄ‡ neuronowÄ… i SVN, a modelem uczÄ…cym siÄ™ na odpowiedziach jest naiwny klasyfikator Bayesa.

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Mikolaj Morzy

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PrzykÅ‚ad metody Stacking

Created by Mikolaj Morzy on Wednesday 25 May 2011 08:12:51 (UTC)

Last edited by Mikolaj Morzy on Wednesday 25 May 2011 08:15:17 (UTC)

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Gutompf

I am new to rapidminer and I do not know how to get workflow from my experiment to rapidminer. When I press " Download Workflow File/Package (XML)" I get file without extension. Then I tried insert it to rapidminer with import process (with or without extensions xml, rmp) an it always gives error: content is not allowed in prolog.

I would be very happy if somebody helps me.

Milan

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