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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5
장
모델 평가와 성능 향상
377
율입니다.
FPR
=
FP
FP
+
TN
ROC
곡선은
roc
_
curve
함수를 사용하여 만들 수 있습니다 (그림
5
-
15
).
In [65]:
from sklearn.metrics import roc_curve
fpr, tpr, thresholds = roc_curve(y_test, svc.decision_function(X_test))
plt.plot(fpr, tpr, label="ROC 곡선")
plt.xlabel("FPR")
plt.ylabel("TPR (재현율)")
# 0 근처의 임계값을 찾습니다.
close_zero = np.argmin(np.abs(thresholds))
plt.plot(fpr[close_zero], tpr[close_zero], 'o', markersize=10,
label="임계값 0", llstyle="none", c='k', mew=2)
plt.legend(loc=4)
그림
5-15
SVM
의
ROC
곡선
ROC
곡선은 왼쪽 위에 가까울수록 이상적입니다. 거짓 양성 비율 (
FPR
)이 낮게 유지되면서
재현율이 높은 분류기가 좋은 것입니다. 기본 임계값
0
의 지점과 비교했을 때,
FPR
을 조금 늘
378
파이썬 라이브러리를 활용한 머신러닝(번역개정판)
리면 재현율을 아주 크게 높일 수 있습니다(
0
.
9
부근). 왼쪽 ...
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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.