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1. Download WSO2 Machine Learner, and start the server. For information on setting up and running WSO2 ML, see Getting Started.
2. Download and install jq (CLI JSON processor). For instructions, see jq Documentation.
3. Download If you are using Mac OS X, download and install GNU stream editor (sed). For instructions, see GNU sed Documentation.

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1. Navigate to <ML_HOME>/samples/default/decision-tree/ directory using the CLI.

   Info<ML_HOME> refers to the downloaded product-ml directory with the source code of the product

2. Execute the following command to execute the sample: ./model-generation.sh

Output of the sample

 Once the sample is successfully executed, you can view the summary and the prediction of the model as described below.

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Viewing the model summary

You can view the output using the CLI or using the ML UI as described below.

Viewing the model summary

You can summary of the built model using the ML UI as follows.

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

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1. as shown below.
   

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