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Practical Predictive Analytics
book

Practical Predictive Analytics

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

Confusion matrix

We can compute the confusion, or error, matrix in order to determine how our manual calculation performed, when we classified the prediction outcomes as correct or not:

#Confusion matrix result <- sql("select outcome,correct, count(*) as k, avg(totrows) as totrows from preds_tbl where grp=1 group by 1,2 order by 1,2") result$classify_pct <- result$k/result$totrows  display(result) 

To determine the grand total correct model prediction, sum the correct=Y columns previously:

Summary of correct predictions for training group:

Correctly predicted outcome=1

20%

Correctly predicted outcome=0

59%

Total Correct Percentage ...

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Publisher Resources

ISBN: 9781785886188Supplemental Content