April 2020
Intermediate to advanced
344 pages
8h 22m
Japanese
Content preview from Pythonではじめる教師なし学習 ―機械学習の可能性を広げるラベルなしデータの利用
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156
6
章 グループ分け
HDBSCAN
による全体の精度を下に示す。
Overall accuracy from HDBSCAN: 0.3246203751586667
全体の精度はおよそ
32%
で、
k
平均法や階層クラスタリングよりも良くない。
表6-6にクラスタとそのサイズを示す。
表6-6 HDBSCAN によるクラスタリング結果
cluster clusterCount
0 -1 32708
1 7 4070
2 2 3668
3 1 1096
4 4 773
5 0 120
6 6 49
7 3 38
8 5 20
借入者のうち、
32,708
がクラスタ −
1
に含まれている。つまりどのグループにも属していない。
クラスタごとの精度を見てみよう。
0 0.284487
1 0.341667
2 0.414234
3 0.332061
4 0.552632
5 0.438551
6 0.400000
7 0.408163
8 0.590663
クラスタごとの精度は
28%
から
59%
の間だ。
6.6
まとめ
本章では、
LendingClub
に
2007
年から
2011
年にかけて無担保個人ローンを申し込んだ借入者の
データを対象にした教師なしクラスタリング応用システムを構築した。アルゴリズムには、
k
平均法、
階層クラスタリング、
HDBSCAN
を用いた。この中では
k
平均法が最も性能が良く、
39%
の精度を示
した。
この応用システムはそれなりに機能したが、改善の余地はあるはずだ。読者は自分でアルゴリズム
6.6
まとめ
157
を試して、システムの改良を試みてほしい。 ...
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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.