Creating an Experiment

Creating an Experiment is a two-step process that involves configuration and selection of the algorithm type as steps.

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.

Accessing the Create Experiment option for a Dataset

• 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.

Selecting Data Preparation

• 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.

Selecting Columns to be excluded from the model training

• Click the Next option.

Configure tab with selected Data Preparations and excluded fields

• 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.

Selecting Experiment Type

• 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.