October 2014
Intermediate to advanced
288 pages
6h 27m
Japanese
Content preview from 実践 機械学習システム
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8.2
バスケット分析
171
上のコードを実行すると、結果は次のようになります。
表8-2
条件 結果 結果の回数 条件の回数 条件と結果の回数 リフト値
1378, 1379, 1380 1269 279
（
0.3%
）
80 57 225
48, 41, 976 117 1026
（
1.1%
）
122 51 35
48, 41, 16011 16010 1316
（
1.5%
）
165 159 64
上の表にある「回数」とはトランザクションの数を指します。「回数」という言葉を含む項目の説明は
それぞれ次のようになります。
●
「結果の回数」は、結果だけに含まれる商品のトランザクション数（つまり、その商品が購入さ
れる割合です）
●
「条件の回数」は、条件だけに含まれる商品のトランザクション数
●
「条件と結果の回数」は、条件と結果に含まれる商品のトランザクション数
上の結果からわかることは、たとえば、
1378
・
1379
・
1380
の商品を含むトランザクションが
80
個
あり、その中の
57
個のトランザクションで
1269
の商品が含まれます。そのため、条件確率は「57/80
≈ 71％」になりま
す。全体の
0.3%
のトランザクションにしか
1269
の商品が含まれないことから、リフ
ト値は255になります。
より確かな予測をするためには、カウントデータ（発生した回数のデータ）がある程度の数である必
要があります。それには、はじめに頻出アイテム集合を選択しなければなりません。もし頻出しないア
イテム集合を用いてルールを作るとしたら、カウン
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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.