March 2019
Intermediate to advanced
576 pages
20h 51m
Portuguese (Portugal, Brazil)
Content preview from Mãos à Obra: Aprendizado de Máquina com Scikit-Learn e TensorFlow
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Instabilidade | 181
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Figura 6-6. Regularizando um regressor da Árvore de Decisão
Instabilidade
Espero que você esteja convencido de que as Árvores de Decisão têm muitas vantagens:
são fáceis de entender, interpretar, usar, e são versáteis e poderosas. No entanto, elas
têm algumas limitações. Primeiro, como você pode ter percebido, as Árvores de Deci-
são adoram fronteiras ortogonais de decisão (todas as divisões são perpendiculares a
um eixo), o que as torna sensíveis à rotação do conjunto de treinamento. Por exemplo,
a Figura 6-7 mostra um simples conjunto de dados linearmente separável: à esquerda,
uma Árvore de ...
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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.