April 2019
Beginner to intermediate
252 pages
4h 40m
English
Content preview from Machine Learning for Data Mining
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Interpreting results
To see the results, click on the Status generated model that was added automatically after the model was built.
The following observations are required for the testing dataset. Let's understand them in detail:
- You will see a Model Summary:
You can see what our target is; we know that we ran a multilayer perceptron model and then it gives you the information as to why the model stopped, and you can see that it stopped because the error cannot be further decreased. Basically, this means that the model was not improving anymore and we have one hidden layer and that hidden layer has seven neurons. We can also see that ...
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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.