October 2016
Beginner
378 pages
8h 21m
English
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Cross-validation
If you have run the previous experiment, you may have realized that:
- Both the validation and test results vary, as their samples are different
- The chosen hypothesis is often the best one, but this is not always the case
Unfortunately, relying on the validation and testing phases of samples brings uncertainty along with a reduction of the learning examples dedicated to training (the fewer the examples, the more the variance of the estimates from the model).
A solution would be to use cross-validation, and Scikit-learn offers a complete module for cross-validation and performance evaluation (sklearn.cross_validation).
By resorting to cross-validation, you'll just need to separate your data into a training and test set, and you will be ...
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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.