April 2019
Beginner to intermediate
480 pages
12h 34m
Korean
Content preview from 파이썬 라이브러리를 활용한 머신러닝(번역개정판): 사이킷런 핵심 개발자가 쓴 머신러닝과 데이터 과학 실무서
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304
파이썬 라이브러리를 활용한 머신러닝(번역개정판)
4.7.1
일변량 통계
일변량 통계에서는 개개의 특성과 타깃 사이에 중요한 통계적 관계가 있는지를 계산합니다. 그
런 다음 깊게 관련되어 있다고 판단되는 특성을 선택합니다. 분류에서는
분산분석
ANOVA
,
analysis
of
variance
이라고도 합니다.
25
이 방법의 핵심 요소는
일변량
, 즉 각 특성이 독립적으로 평가된다는
점입니다. 따라서 다른 특성과 깊게 연관된 특성은 선택되지 않을 것입니다. 일변량 분석은 계
산이 매우 빠르고 평가를 위해 모델을 만들 필요가 없습니다. 한편으로 이 방식은 특성을 선택
한 후 적용하려는 모델에 상관없이 사용할 수 있습니다.
scikit
-
learn
에서 일변량 분석으로 특성을 선택하려면 분류에서는
f
_
classif
(기본값 )를, 회
귀에서는
f
_
regression
을 보통 선택하여 테스트하고
26
, 계산한
p
-값
p
-
value
에 기초하여 특성
을 제외하는 방식을 선택합니다. 이런 방식들은 매우 높은
p
-값을 가진 (즉 타깃값과 연관성이
작을 것 같다는 뜻입니다
27
) 특성을 제외할 수 있도록 임계값을 조정하는 매개변수를 사용합
니다. 임계값을 계산하는 방법은 각각 다르며 가장 간단한
SelectKBest
는 고정된
k
개의 특성
을 선택하고
SelectPercentile
은 지정된 ...
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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.