This documentation is for Machine Learner 1.1.0. View documentation for the latest release.

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This sample demonstrates how a model is generated out of a data set using the Random Forest Classification algorithm. The sample uses a data set to generate a model, which is divided into two sets for training and testing.


  1. Log in to the ML UI from your Web browser using admin/admin credentials and the following URL:  https://<ML_HOST>:<ML_PORT>/ml

  2. Click the Projects button as shown below.
    click Projects button

  3. Click MODELS button of the new analysis which you created by executing the sample as shown below.
  4. Click  VIEW  of the built new model as shown below.
    select model
    You view the summary of the built model as shown below.
    model summary