May 2018
Beginner to intermediate
672 pages
16h 54m
Korean
Content preview from 핸즈온 머신러닝: 사이킷런과 텐서플로를 활용한 머신러닝, 딥러닝 실무
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141
3
장
분류
정밀도와 재현율 점수를 계산해보면
98
.
5
% 정밀도와
82
.
8
% 재현율이 나옵니다. 나쁘지 않군
요!
이제 이진 분류기를 훈련시키는 방법과 작업에 맞는 적절한 지표 선택, 교차 검증을 사용한 평
가, 요구사항에 맞는 정밀도/재현율 트레이드오프 선택,
ROC
곡선과
ROC
AUC
점수를 사용
한 여러 모델의 비교에 대해 알게 되었을 것입니다. 다음에는 숫자
5
이상을 감지해보겠습니다.
3.4
다중 분류
이진 분류가 두 개의 클래스를 구별하는 반면 다중 분류기
multiclass
classifier
(또는 다항 분류기
multinomial
classifier
)는 둘 이상의 클래스를 구별할 수 있습니다.
(랜덤 포레스트 분류기나 나이브 베이즈
naive
Bayes
분류기 같은) 일부 알고리즘은 여러 개의 클
래스를 직접 처리할 수 있는 반면, (서포트 벡터 머신 분류기나 선형 분류기 같은) 다른 알고
리즘은 이진 분류만 가능합니다. 하지만 이진 분류기를 여러 개 사용해 다중 클래스를 분류하
는 기법도 많습니다.
예를 들어 특정 숫자 하나만 구분하는 숫자별 이진 분류기
10
개(
0
에서 부터
9
까지 )를 훈련시
켜 클래스가
10
개인 숫자 이미지 분류 시스템을 만들 수 있습니다. 이미지를 분류할 때 각 분류
기의 결정 점수 중에서 가장 높은 것을 클래스로 선택하면 됩니다. ...
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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.