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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249
7
장
앙상블 학습과 랜덤 포레스트
oob
평가 결과를 보면 이
BaggingClassifier
는 테스트 세트에서 약
90
.
1
%의 정확도를 얻을
것으로 보입니다. 확인해보죠.
>>>
from sklearn
.
metrics import accuracy
_
score
>>>
y
_
pred
=
bag
_
clf
.
predict
(
X
_
test
)
>>>
accuracy
_
score
(
y
_
test
,
y
_
pred
)
0
.
912
테스트 세트에서
91
.
2
%의 정확도를 얻었습니다. 매우 비슷하네요!
oob
샘플에 대한 결정 함수의 값도
oob
_
decision
_
function
_
변수에서 확인할 수 있습니다.
이 경우 결정 함수는 각 훈련 샘플의 클래스 확률을 반환합니다 (기반이 되는 예측기가
predict
_
proba
( )
메서드를 가지고 있기 때문에 ). 다음 예를 보면
oob
평가는 첫 번째 훈련 샘플이 양
성 클래스에 속할 확률을
68
.
25
%로 추정하고 있습니다 (그리고 음성 클래스에 속할 확률은
31
.
75
%입니다 ).
>>>
bag
_
clf
.
oob
_
decision
_
function
_
array
([[
0
.
31746032
,
0
.
68253968
],
[
0
.
34117647
,
0
.
65882353
],
[
1
.
,
0
.
],
...
[
1
.
,
0
.
],
[
0
.
03108808
,
0
.
96891192
],
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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.