May 2020
Beginner to intermediate
952 pages
24h 11m
Korean
Content preview from 핸즈온 머신러닝(2판): 사이킷런, 케라스, 텐서플로 2를 활용한 머신러닝, 딥러닝 완벽 실무
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249
7
장
앙상블 학습과 랜덤 포레스트
RandomForestClassifier 0.894
SVC 0.888
VotingClassifier 0.904
예상대로입니다 ! 투표 기반 분류기가 다른 개별 분류기보다 성능이 조금 더 높습니다.
모든 분류기가 클래스의 확률을 예측할 수 있으면(즉,
predict
_
proba
()
메서드가 있으면 ),
개별 분류기의 예측을 평균 내어 확률이 가장 높은 클래스를 예측할 수 있습니다. 이를
간접 투
표
soft
voting
라고 합니다. 이 방식은 확률이 높은 투표에 비중을 더 두기 때문에 직접 투표 방식보
다 성능이 높습니다. 이 방식을 사용하기 위해서는
voting
=
"
hard
"
를
voting
=
"
soft
"
로 바꾸
고 모든 분류기가 클래스의 확률을 추정할 수 있으면 됩니다.
SVC
는 기본값에서는 클래스 확
률을 제공하지 않으므로
probability
매개변수를
True
로 지정해야 합니다 (이렇게 하면 클래
스 확률을 추정하기 위해 교차 검증을 사용하므로 훈련 속도가 느려지지만
SVC
에서
predict
_
proba
()
메서드를 사용할 수 있습니다 ). 앞의 코드를 간접 투표 방식을 사용하도록 변경하면
91
.
2
%의 정확도를 얻을 것입니다.
7.2
배깅과 페이스팅
앞서 말했듯이 다양한 분류기를 만드는 한 가지 방법은 각기 다른 훈련 알고리즘을 ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.