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Modern Scala Projects

You're reading from   Modern Scala Projects Leverage the power of Scala for building data-driven and high performance projects

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Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781788624114
Length 334 pages
Edition 1st Edition
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Author (1):
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Ilango gurusamy Ilango gurusamy
Author Profile Icon Ilango gurusamy
Ilango gurusamy
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Toc

Questions

We will now list a set of questions to test your knowledge of what you have learned so far:

  • What do you understand by logistical regression? Why is it important?
  • How does logistical regression differ from linear regression?
  • Name one powerful feature of BinaryClassifier.
  • What are the feature variables in relation to the breast cancer dataset?

The breast cancer dataset problem is a classification task that can be approached with other machine learning algorithms as well. Prominent among other techniques are Support Vector Machine (SVM), k-nearest neighbor, and decision trees. When you run the pipelines developed in this chapter, compare the time it took to build a model in each case and how many of the input rows of the dataset were classified correctly by each algorithm.

This concludes this chapter. The next chapter implements a new kind of pipeline, which is a stock...

You have been reading a chapter from
Modern Scala Projects
Published in: Jul 2018
Publisher: Packt
ISBN-13: 9781788624114
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