This documentation is for Machine Learner 1.0.0. View documentation for the latest release.

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You can tune samples to improve measures such as accuracy, Area Under ROC Curve (AUC), and Mean Square Error (MSE) by changing the values of the hyper parameter. For more information on an example of 

 

Tuned tuning hyper parameters, see How to Tune Hyper Parameters. Tuned samples for well known data sets that are shipped with WSO2 Machine Learner are as follows.

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