March 2016
Beginner to intermediate
340 pages
7h 20m
English
Content preview from R Machine Learning By ExampleBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Model comparison and selection
We have explored various machine learning techniques and built several models to predict the credit ratings of customers, so now comes the question of which model we should select and how the models compare against each other. Our test data has 130 instances of customers with a bad credit rating (0) and 270 customers with a good credit rating (1).
If you remember, earlier we had talked about using domain knowledge and business requirements after doing modeling to interpret results and make decisions. Right now, our decision is to choose the best model to maximize profits and minimize losses for the German bank. Let us consider the following conditions:
- If we incorrectly predict a customer with bad credit rating as ...
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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.