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Mãos à Obra: Aprendizado de Máquina com Scikit-Learn e TensorFlow
book

Mãos à Obra: Aprendizado de Máquina com Scikit-Learn e TensorFlow

by Aurélien Géron
March 2019
Intermediate to advanced
576 pages
20h 51m
Portuguese (Portugal, Brazil)
Alta Books
Content preview from Mãos à Obra: Aprendizado de Máquina com Scikit-Learn e TensorFlow
176 | Capítulo 6: Árvores de Decisão
(definida pelo hiperparâmetro max_depth) ou se não consegue encontrar uma divisão
que reduza a impureza. Alguns outros hiperparâmetros (que já serão descritos) con-
trolam as condições adicionais de parada (min_samples_split, min_samples_leaf,
min_weight_fraction_leaf e max_leaf_nodes).
Como você pode ver, o algoritmo CART é um algoritmo ganancioso:
ele busca gananciosamente uma divisão otimizada no nível superior
e, em seguida, repete o processo em cada nível. Ele não verica se a
divisão irá ou não resultar na menor impureza possível nos vários
níveis abaixo. Um algoritmo ganancioso geralmente produz uma ...
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Publisher Resources

ISBN: 9788550803814