Select the prediction dataset on this screen. Let’s review the prediction data used in this tutorial.

Using the prediction model that you have created, predict the probability of closing for each customer (customers who have not closed). In this tutorial, you will use sample data that has been prepared for prediction.

Specify the prediction data 2_ClosingService(For Prediction).csv here.

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

The prediction dataset preview is displayed. Predict “Closing or Not (target)” displayed as “?” from information such as “Type of Industry”, and “Number of Employees”.

Click [Run Prediction]. Wait a while until the preview screen of the prediction result is displayed.

Please specify “Customer ID” in [Add the following variables to the first column]. Click [Save Prediction Results], enter “File name” and click [Save].

When the prediction is complete, the following screen is displayed and the prediction results are saved in the specified file.

Predicted results are output in the following format (this format may vary depending on the option settings). For each customer, the prediction probability of service closing is calculated.