August 2017
Beginner to intermediate
340 pages
8h 42m
English
Content preview from Mastering Machine Learning with Spark 2.x
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Classification model evaluation
Now, when we have a model, we need to evaluate the quality of the model to decide whether the model is good enough for our needs. Keep in mind, that all quality metrics connected to a model need to be considered in your specific context and evaluated with respect to your target objective (such as sales increase, fraud detection, and so on).
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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.
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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.