This site uses different types of cookies, including analytics and functional cookies (its own and from other sites). To change your cookie settings or find out more, click here. If you continue browsing our website, you accept these cookies.
The Model Comparison macro compares the performance of one or more different predictive models based on the use of a validation (or test) data set. It generates a report, a table of basic error measurements, and a table of prediction results for each model. The macro supports all binary classification (the case where the target variable has only two levels, or classes, such as "Yes" and "No"); multinomial classification (the case where the target variable has more than two levels or classes, such as "car", "bus", "train", and "airplane"); and regression (continuous target variable) models. The measures reported differ based on the type of models being compared.
To use this macro, an additional R package (ROCR) needs to be installed. The link below provides instructions on how to install R packages that can be accessed by Alteryx. The macro will attempt to install the needed R packages if they are not already installed, but this may be prevented by certain firewalls and proxy servers.