History: Using Machine Learning Models

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Trained Machine Learning models can be used to make predictions.

! Using Machine Learning Models
After a model has been trained, it is ready to be used to make prediction on new data. Trying to use an untrained model will result in an error.

To use a model, open its action menu and click on __Use__.

{img src="display1918" link="display1918" width="400" rel="box[g]" imalign="center" desc="Go to model use page" align="center" styleimage="border"}

Tiki will then display the model's page for prediction. This page will include input fields for you to enter new data.

{img src="display1919" link="display1919" width="400" rel="box[g]" imalign="center" desc="Use model page" align="center" styleimage="border"}

Fill in the fields and select the type of task you want model to perform. This will be either a probability or prediction task. Either of the tasks is supported based on the model's underlying learning algorithm. After this, click on the __Submit__ button to get result.

A success message will be displayed and result will appear right after the submit button.

{img src="display1920" link="display1920" width="400" rel="box[g]" imalign="center" desc="Result success message" align="center" styleimage="border"}

{img src="display1921" link="display1921" width="400" rel="box[g]" imalign="center" desc="Result" align="center" styleimage="border"}

!! Related links
* ((Machine Learning))
* ((Preparing Machine Learning Dataset))
* ((Creating Machine Learning Models))
* ((Configuring Machine Learning Models))
* ((Training Machine Learning Models))