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Predictive Analytics using Rattle and Qlik Sense

You're reading from   Predictive Analytics using Rattle and Qlik Sense Create comprehensive solutions for predictive analysis using Rattle and share them with Qlik Sense

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781784395803
Length 242 pages
Edition 1st Edition
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Author (1):
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Ferran Garcia Pagans Ferran Garcia Pagans
Author Profile Icon Ferran Garcia Pagans
Ferran Garcia Pagans
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Table of Contents (11) Chapters Close

Preface 1. Getting Ready with Predictive Analytics FREE CHAPTER 2. Preparing Your Data 3. Exploring and Understanding Your Data 4. Creating Your First Qlik Sense Application 5. Clustering and Other Unsupervised Learning Methods 6. Decision Trees and Other Supervised Learning Methods 7. Model Evaluation 8. Visualizations, Data Applications, Dashboards, and Data Storytelling 9. Developing a Complete Application Index

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In Rattle, you have to explicitly declare the role of each variable. A variable can have five different roles:

  • Input: The prediction process will use input variables to predict the value of the target variable.
  • Target: The target variable is the output of our model.
  • Risk: The risk variable is a measure of the target variable.
  • Ident or Identifier: An identifier is a variable that identifies a unique occurrence of an object. In our preceding example, the variable Person is an identifier that identifies a unique person.
  • Ignore: A variable marked Ignore will be ignored by the model. We'll come back to this role later-some variables can create noise and decrease the performance of your predictive model.

Rattle can load data from many data sources. Here are some options:

  • Use the Spreadsheet option to load data from a Comma Separated Value (CSV) file.
  • Open Database Connectivity (ODBC) is a standard to define database connectivity. Using this standard, you can load from most common databases...
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