July 2017
Intermediate to advanced
378 pages
10h 44m
German
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KAPITEL 5
Evaluierung und Verbesserung von Modellen
Wir haben nun die Grundlagen von überwachtem und unüberwachtem Lernen besprochen und dabei viele maschinelle Lernalgorithmen ausprobiert. Wir werden uns jetzt intensiver mit der Evaluierung von Modellen und der Auswahl von Parametern auseinandersetzen.
Wir werden uns dabei auf überwachte Methoden zur Regression und Klassifikation konzentrieren, da die Evaluierung und Auswahl unüberwachter Lernmodelle oft ein eher qualitativer Prozess ist (wie in Kapitel 3 vorgestellt).
Um unsere überwachten Modelle zu evaluieren, haben wir bisher unsere Datensätze mit der Funktion train_test_split in einen Trainingsdatensatz und einen Testdatensatz unterteilt, auf den Trainingsdaten ein Modell über die Methode ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.