The main screen appears, no prediction model has been created, so it is empty. Click [Create Model].

Specify the data for creating a prediction model (training) 1_CustomerFeedback.csv here.

Click [Select from Uploaded Data] and select the sample data from the data list on the [Samples] tab.

This screen is displayed when data loading is completed.
Please select one variable to predict. After selecting (for this tutorial, select the item “Complaint Type (Target)"), click the [Create Prediction Model] button.

Please wait until the training begins. Four processes are executed: Preprocessing → Prediction Model Training → Accuracy Evaluation → Predictive Contribution Analysis.
The estimated wait time is displayed at the top. The more data you have, the longer it takes.
When you have completed your training, click the [Completed] button.