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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

Predicting outcomes

SparkR does have a prediction method, aptly named predict(), so we can run predictions on the training set:

  • After running the following code, you will observe that the resulting object contains a new column named prediction
  • We can also add a unary flag (1) to the results (grp) to indicate that the output is from the training data
  • We will also append the total number of rows to each record, since we will need them later for calculations:
        #look at the predictions vs. the training dataset         preds_train <- predict(model, df)         preds_train$grp <- 1         preds_train$totrows = nrow(preds_train) 

The prediction variable is the probability that the outcome of the event (diabetes) will occur:

head(preds_train) 
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Publisher Resources

ISBN: 9781785886188