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Practical Predictive Analytics
book

Practical Predictive Analytics

by Ralph Winters
June 2017
Beginner to intermediate
576 pages
15h 22m
English
Packt Publishing
Content preview from Practical Predictive Analytics

Plotting the results

One way to plot this in Spark is to construct a histogram of the probabilities, using the midpoints of the binned range (centroids) for the x axis and the raw counts for each bin plotted on the y axis.

x=SparkR::histogram(preds_train,preds_train$prediction, nbins = 100) x$centroids=round(x$centroids,2) display(x)

After the display command has run, click on the Plot Icon (2nd Icon at the bottom left), and click on "Plot Options". The customize plot screen will then display:

  1. Set Display type to Grouped Bar Chart using a combination of the drop down selection and radio buttons.
  2. Drag counts from All Fields to Values.
  3. Drag Centroids to Keys.

Centroids represent the midpoints of the bars. In the code above, we rounded them ...

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Publisher Resources

ISBN: 9781785886188Supplemental Content