After you prepare a dataset, you are ready to create a Machine Learning model. Start this by going to List Models page and click on the New button. This will take you to the model creation page.

Click on New to create a model

Model creation page

Enter a name for the model, for example, Divorce Predictor; and also a description. Then specify the source tracker.

Select a tracker to be used as data source for model

This will be a tracker you have already prepared to use as the dataset for training the model. See Preparing Machine Learning Dataset for information how to prepare a dataset tracker. Keep in mind that the selected source tracker can not be changed after the model has been created.

Every model you create require further configuration that involves setting your preferred learner and transformers depending on the task the model is to perform. To make this process easier, Tiki includes some predefined configurations called model templates. To use a template, choose the one that matches your criteria from the Model template dropdown or select Start with a blank model to create the model without a template.

Select a model template or start with blank

Tiki will create the model after you click on the Create button and will display the model configuration page. You can then go on to configuring the model as described in Configuring Machine Learning Models

You can also create a new model from existing model through cloning. This approach is useful if you want to have a new model that is similar in configuration to an existing one. To clone a model, go to the List Models page and click on the Actions button of the model you wish to clone then select Clone.

Click clone in action menu to open model cloning page

Model cloning page

• Machine Learning
• Preparing Machine Learning Dataset
• Configuring Machine Learning Models
• Training Machine Learning Models
• Using Machine Learning Models