Personalized predictions module aids the user to get options, to choose input and target variables, and system predicts the target for future input, as a service. Features of the module include,
To build models :
Click on ‘Create New Model’ .
Choose a model to build from the dropdown menu, for example – K-Means.
Select the dataset from the dropdown menu.
Click on ‘Create’ to build the model.
Select ‘Configure’ option from the list of models.
Choose the features you’d like to change.
Select the dataset filters.
Choose temporal filters.
Once you’ve selected the various filters, click on ‘Save Features’ and then click on ‘Build Model’.
The user can access advanced settings if they want a more customized prediction. This is generally for more advanced users, who understand particular ML models and know how best to manage the settings to get reliable predictions.
In the ‘Configure’ option, select the button ‘Advanced Settings’ to access them.
Make the desired changes to the parameters and validation sections
Click ‘Save Settings’ to save your parameters.
After building the model, click on ‘Analyze’ button from the list of models.
This gives the predictions in the form of charts/graphs using the different features defined.
