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Predictive Analytics Using Rattle and Qlik Sense by Ferran Garcia Pagans

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Regression performance

To measure the performance of a regression, the distance between the predicted outputs and the actual outputs, is a good model performance measure.

Rattle offers us a good way to see predicted values versus the actual value—the Predicted versus Observed plot. To test this plot, you need to create a regression model. You can download a sample dataset from the UCI Machine Learning Repository (http://archive.ics.uci.edu/ml; Irvine, CA: University of California, School of Information and Computer Science), or from Kaggle (http://www.kaggle.com/). On some websites, such as the UCI Machine Learning Repository, the datasets are classified by the task you want to perform with the dataset.

Predicted versus Observed Plot

Imagine we ...

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