Create Experiment
This option helps the users to create an Auto ML experiment on the selected Dataset.
A user can create a supervised learning (data science) experiment by choosing the Create Experiment option.
Check out the given illustration on how to create an experiment based on the selected dataset.
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 for a Repo Sync Project.
Select a Dataset from the list.
Click the Create Experiment icon.
Please Note: An experiment gets initiated in two steps:
Configure: Enter Experiment name, Description, and Target column.
Select Experiment Type: Classification for discrete data and Regression for continuous data (numeric value).
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.
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