Creating an Experiment
Creating an Experiment is a two-step process that involves configuration and selection of the algorithm type as steps.
Last updated
Creating an Experiment is a two-step process that involves configuration and selection of the algorithm type as steps.
Last updated
A user can create a supervised learning (data science) experiment by choosing the Create Experiment option.
Please Note: The Create Experiment icon is provided on the Dataset List page under the Dataset tab of a Data Science Project.
Navigate to the Dataset List page.
Select a Dataset from the list.
Click the Create Experiment icon.
The Configure tab opens (by default) while opening the Create Experiment form.
Provide the following information:
Provide a name for the experiment.
Provide Description (optional).
Select a Target Column.
Select a Data Preparation from the drop-down menu.
Use check-box to select a Data Preparation from the displayed drop-down.
Select columns that need to be excluded from the experiment.
Use check-box to select a field to be excluded from the experiment.
Please Note: The selected fields will not be considered while training the Auto ML model experiment.
Click the Next option.
The user gets redirected to the Select Experiment Type tab.
Select a prediction model using the checkbox.
Based on the selected experiment type a validation notification message appears.
Click the Done option.
A notification message appears.
The user gets redirected to the Auto ML list page.
The newly created experiment gets added to the list.
Please Note: Refer the Data Science Lab Quick Start Flow page to get an overview of the Data Science Lab module in nutshell.
