O'Reilly logo

Test-Driven Machine Learning by Justin Bozonier

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Measuring model accuracy

So, we know how to create a model that is "adequate", but what does this really mean? How can we differentiate whether one "adequate" model is better than another? A common approach is to compare the ROC curves. This one is generated from the simple model that we just created:

Measuring model accuracy

You're probably familiar with ROC curves. They show us what kind of true positive rate we can achieve by allowing a given error rate in terms of false positives. The basic take away is that we want the curve to get as close to the upper left corner as possible. In case you haven't used these visualizations before, the reason for this is that the more ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required